491 results on '"Wallace, T"'
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2. Identification and Prognosis of Patients With Interstitial Pneumonia With Autoimmune Features
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Nikhil Jiwrajka, Giorgos Loizidis, Karen C. Patterson, Maryl E. Kreider, Cheilonda R. Johnson, Wallace T. Miller, Eduardo Jose Mortani Barbosa, Namrata Patel, Michael F. Beers, Leslie A. Litzky, Michael D. George, and Mary K. Porteous
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Male ,Rheumatology ,Myositis ,Humans ,Connective Tissue Diseases ,Lung Diseases, Interstitial ,Prognosis ,Idiopathic Pulmonary Fibrosis ,Autoimmune Diseases - Abstract
Background/Objective \ud Patients classified as interstitial pneumonia with autoimmune features (IPAF) have interstitial lung disease (ILD) and features of autoimmunity but do not fulfill criteria for connective tissue diseases (CTDs). Our goal was to identify patients classifiable as IPAF, CTD-ILD, and idiopathic pulmonary fibrosis (IPF) from a preexisting pulmonary cohort and evaluate the prognosis of patients with IPAF.\ud \ud Methods \ud We reviewed the medical records of 456 patients from a single-center pulmonary ILD cohort whose diagnoses were previously established by a multidisciplinary panel that did not include rheumatologists. We reclassified patients as IPAF, CTD-ILD, or IPF. We compared transplant-free survival using Kaplan-Meier methods and identified prognostic factors using Cox models.\ud \ud Results \ud We identified 60 patients with IPAF, 113 with CTD-ILD, and 126 with IPF. Transplant-free survival of IPAF was not statistically significantly different from that of CTD-ILD or IPF. Among IPAF patients, male sex (hazard ratio, 4.58 [1.77–11.87]) was independently associated with worse transplant-free survival. During follow-up, only 10% of IPAF patients were diagnosed with CTD-ILD, most commonly antisynthetase syndrome.\ud \ud Conclusion \ud Despite similar clinical characteristics, most patients with IPAF did not progress to CTD-ILD; those who did often developed antisynthetase syndrome, highlighting the critical importance of comprehensive myositis autoantibody testing in this population. As in other types of ILD, male sex may portend a worse prognosis in IPAF. The routine engagement of rheumatologists in the multidisciplinary evaluation of ILD will help ensure the accurate classification of these patients and help clarify prognostic factors.
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- 2022
3. Reply to the Comment on 'New horizons in photocatalysis: the importance of mesopores for cerium oxide' by A. S. Thill, W. T. Figueiredo, F. O. Lobato, M. O. Vaz, W. P. Fernandes, V. E. Carvalho, E. A. Soares, F. Poletto, S. R. Teixeira and F. Bernardi, J. Mater. Chem. A, 2020, 8, 24752
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Wallace T. Figueiredo, Fernanda Poletto, Vágner E. Carvalho, Edmar A. Soares, Alisson S. Thill, Fabiano Bernardi, Sérgio R. Teixeira, Mauricio O. Vaz, Francielli O. Lobato, and Willians P. Fernandes
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Physics ,Cerium oxide ,Fit/gap analysis ,New horizons ,X-ray photoelectron spectroscopy ,Renewable Energy, Sustainability and the Environment ,Photocatalysis ,Analytical chemistry ,General Materials Science ,General Chemistry ,Mesoporous material - Abstract
This reply presents a detailed explanation about the critique given by Prof. E. Paparazzo on the analysis of the Ce 3d XPS spectra described in the published article. The comment claims that the Ce(III) fraction values found are too high for the Ce 3d XPS spectra obtained, which is attributed to missing constraints in the fit procedure and charging effects during XPS measurements. The claims raised by the author are addressed in this reply but we believe that the author did not consider the full discussion present in the original article. Furthermore, even taking into account some claims raised for the Ce 3d XPS fit in the comment, the results are not significantly changed. New experiments and fit analysis were conducted and they are used to further prove the original results.
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- 2021
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4. Conservation of copy number profiles during engraftment and passaging of patient-derived cancer xenografts
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Woo, X.Y., Giordano, J., Srivastava, A., Zhao, Z.-., Lloyd, M.W., de Bruijn, R., Suh, Y.-., Patidar, R., Chen, L., Scherer, S., Bailey, M.H., Yang, C.-., Cortes-Sanchez, E., Xi, Y., Wang, J., Wickramasinghe, J., Kossenkov, A.V., Rebecca, V.W., Sun, H., Mashl, R.J., Davies, S.R., Jeon, R., Frech, C., Randjelovic, J., Rosains, J., Galimi, F., Bertotti, A., Lafferty, A., O'Farrell, A.C., Modave, E., Lambrechts, D., ter Brugge, P., Marangoni, E., El Botty, R., Kim, H., Kim, J.-., Yang, H.-., Lee, C., Dean, D.A., Davis-Dusenbery, B., Evrard, Y.A., Doroshow, J.H., Welm, A.L., Welm, B.E., Lewis, M.T., Fang, B., Roth, J.A., Meric-Bernstam, F., Herlyn, M., Davies, M.A., Ding, L., Li, S., Govindan, R., Isella, C., Moscow, J.A., Trusolino, L., Byrne, A.T., Jonkers, J., Bult, C.J., Medico, E., Chuang, J.H., Robinson, P.N., Sanderson, B.J., Neuhauser, S.B., Dobrolecki, L.E., Zheng, X., Majidi, M., Zhang, R., Zhang, X., Akcakanat, A., Evans, K.W., Yap, T.A., Li, D., Yucan, E., Lanier, C.D., Saridogan, T., Kirby, B.P., M. J., H., Chen, H., Kopetz, S., Menter, D.G., Zhang, J., Westin, S.N., Kim, M.P., Dai, B., Gibbons, D.L., Tapia, C., Jensen, V.B., Boning, G., Minna, J.D., Park, H., Timmons, B.C., Girard, L., Fingerman, D., Liu, Q., Somasundaram, R., Xiao, M., Yennu-Nanda, V.G., Tetzlaff, M.T., Xu, X., Nathanson, K.L., Cao, S., Chen, F., Dipersio, J.F., Lim, K.H., C. X., M., Rodriguez, F.M., Van Tine, B.A., Wang-Gillam, A., Wendl, M.C., Wu, Y., Wyczalkowski, M.A., Yao, L., Jayasinghe, R., Aft, R.L., Fields, R.C., Luo, J., Fuh, K.C., Chin, V., Digiovanna, J., Grover, J., Koc, S., Seepo, S., Wallace, T., Pan, C.-., Chen, M.S., Carvajal-Carmona, L.G., Kirane, A.R., Cho, M., Gandara, D.R., Riess, J.W., Le, T., deVere White, R.W., Tepper, C.G., Zhang, H., Coggins, N.B., Lott, P., Estrada, A., Toal, T., Arana, A.M., Polanco-Echeverry, G., Rocha, S., A. -H., M., Mitsiades, N., Kaochar, S., O'Malley, B.W., Ellis, M.J., Hilsenbeck, S.G., Ittmann, M., Corso, S., Fiori, A., Giordano, S., van de Ven, M., Peeper, D.S., Miller, I., Bernado, C., Morancho, B., Ramirez, L., Arribas, J., Palmer, H.G., Piris-Gimenez, A., Soucek, L., Dahmani, A., Montaudon, E., Nemati, F., Dangles-Marie, V., Decaudin, D., Roman-Roman, S., Alferez, D.G., Spence, K., Clarke, R.B., Bentires-Alj, M., Chang, D.K., Biankin, A.V., Bruna, A., O'Reilly, M., Caldas, C., Casanovas, O., Gonzalez-Suarez, E., Munoz, P., Villanueva, A., Conte, N., Mason, J., Thorne, R., Meehan, T.F., Parkinson, H., Dudova, Z., Krenek, A., Stuchlik, D., Elemento, O., Inghirami, G., Golebiewska, A., Niclou, S.P., Wisman, G.B.A., de Jong, S., Kralova, P., Sedlacek, R., Claeys, E., Leucci, E., Borsani, M., Lanfrancone, L., Pelicci, P.G., Maelandsmo, G.M., Norum, J.H., Vinolo, E., Serra, V., and Leucci, Eleonora
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endocrine system diseases ,Microarray ,gene amplification ,Whole Exome Sequencing ,Mice ,0302 clinical medicine ,Gene expression ,Databases, Genetic ,Gene duplication ,Neoplasm Metastasis ,Exome sequencing ,Cancer ,Regulation of gene expression ,0303 health sciences ,Manchester Cancer Research Centre ,adult ,adult, animal experiment, animal model, animal tissue, breast cancer, microarray, DNA sequencing engraftment, gene amplification, tumor, xenograft, tumor-related gene ,Polymorphism, Single Nucleotide/genetics ,3. Good health ,Gene Expression Regulation, Neoplastic ,030220 oncology & carcinogenesis ,microarray ,hormones, hormone substitutes, and hormone antagonists ,tumor ,endocrine system ,DNA sequencing engraftment ,animal experiment ,DNA Copy Number Variations/genetics ,Biology ,digestive system ,DNA sequencing ,Article ,animal tissue ,03 medical and health sciences ,breast cancer ,Breast cancer ,Genetics ,medicine ,Animals ,Humans ,xenograft ,Gene ,030304 developmental biology ,Settore MED/04 - Patologia Generale ,Microarray analysis techniques ,animal model ,ResearchInstitutes_Networks_Beacons/mcrc ,tumor-related gene ,medicine.disease ,Xenograft Model Antitumor Assays ,Computational biology and bioinformatics ,Cancer research ,Human cancer - Abstract
Patient-derived xenografts (PDXs) are resected human tumors engrafted into mice for preclinical studies and therapeutic testing. It has been proposed that the mouse host affects tumor evolution during PDX engraftment and propagation, affecting the accuracy of PDX modeling of human cancer. Here, we exhaustively analyze copy number alterations (CNAs) in 1,451 PDX and matched patient tumor (PT) samples from 509 PDX models. CNA inferences based on DNA sequencing and microarray data displayed substantially higher resolution and dynamic range than gene expression-based inferences, and they also showed strong CNA conservation from PTs through late-passage PDXs. CNA recurrence analysis of 130 colorectal and breast PT/PDX-early/PDX-late trios confirmed high-resolution CNA retention. We observed no significant enrichment of cancer-related genes in PDX-specific CNAs across models. Moreover, CNA differences between patient and PDX tumors were comparable to variations in multiregion samples within patients. Our study demonstrates the lack of systematic copy number evolution driven by the PDX mouse host., Analysis of copy number alterations in 1,451 patient-derived xenografts (PDXs) and matched patient tumor samples shows strong conservation from patient tumors through late-passage PDXs and a lack of systematic copy number evolution driven by the mouse host.
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- 2021
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5. Determining the Surface Atomic Population of CuxNi1–x/CeO2 (0 < x ≤ 1) Nanoparticles during the Reverse Water–Gas Shift (RWGS) Reaction
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Carlos Alberto Ospina, Virginia Pérez-Dieste, Carlos Escudero, Wallace T. Figueiredo, and Fabiano Bernardi
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Surface (mathematics) ,Work (thermodynamics) ,education.field_of_study ,Materials science ,Population ,Nanoparticle ,02 engineering and technology ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,Water-gas shift reaction ,0104 chemical sciences ,Surfaces, Coatings and Films ,Electronic, Optical and Magnetic Materials ,Catalysis ,General Energy ,Chemical engineering ,Physical and Theoretical Chemistry ,0210 nano-technology ,education - Abstract
The comprehension of surface atomic phenomena of nanoparticles is indispensable for the improvement of future catalysts. In this work, CuxNi1–x/CeO2 (0 < x ≤ 1) nanoparticles were synthesized and u...
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- 2020
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6. Wearable Devices in Healthcare: Challenges, Current Trends and a Proposition of Affordable Low Cost and Scalable Computational Environment of Internet of Things
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Fabrício Martins Mendonça, Mário A. R. Dantas, Wallace T. Fortunato, Juan F. S. Oliveira, Breno C. Souza, and Marcelo Q. Filgueiras
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- 2022
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7. New horizons in photocatalysis: the importance of mesopores for cerium oxide
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Mauricio O. Vaz, Sérgio R. Teixeira, Fabiano Bernardi, Alisson S. Thill, Willians P. Fernandes, Francielli O. Lobato, Edmar A. Soares, Vágner E. Carvalho, Wallace T. Figueiredo, and Fernanda Poletto
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education.field_of_study ,X-ray absorption spectroscopy ,Materials science ,Absorption spectroscopy ,Renewable Energy, Sustainability and the Environment ,Band gap ,Population ,Nanoparticle ,02 engineering and technology ,General Chemistry ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,0104 chemical sciences ,Chemical engineering ,X-ray photoelectron spectroscopy ,Vacancy defect ,Photocatalysis ,General Materials Science ,0210 nano-technology ,education - Abstract
The world faces an imminent energy crisis. The photocatalytic H2 production reaction is a promising process for addressing this issue, obtaining renewable and clean energy. Among the studies in this field, the dependence of photocatalytic activity on the O vacancy population of metal oxides is currently a subject of intense research. However, the pivotal role of mesopores in such dependence is not taken into account. In this study, CeO2 nanoparticles with and without mesopores were synthesized and characterized with Transmission Electron Microscopy (TEM), UV-Vis spectroscopy, X-ray Absorption Spectroscopy (XAS), and X-ray Photoelectron Spectroscopy (XPS) measurements, besides Density Functional Theory (DFT) calculations. It was found that the photocatalytic H2 evolution activity has a distinct dependence on the surface O vacancy population whether in the presence or absence of mesopores. Nanoparticles without mesopores present improved photocatalytic activity with a higher O vacancy population but the opposite behavior is found for nanoparticles with mesopores. Furthermore, the band gap depends closely on the Ce 4f orbital occupation, which is directly related to the structural disorder of the nanoparticles. The results shed light on the rational design of CeO2 nanoparticles with improved efficiency for photocatalytic H2 production.
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- 2020
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8. Predicting the difficult laparoscopic cholecystectomy: development and validation of a pre-operative risk score using an objective operative difficulty grading system
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Nassar, A. H. M., Hodson, J., H. J., Ng, Vohra, R. S., Katbeh, T., Zino, S., Griffiths, E. A., Kirkham, A. J., Pasquali, S., Marriott, P., Johnstone, M., Spreadborough, P., Alderson, D., Fenwick, S., Elmasry, M., Nunes, Q. M., Kennedy, D., Khan, R. B., Khan, M. A. S., Magee, C. J., Jones, S. M., Mason, D., Parappally, C. P., Mathur, P., Saunders, M., Jamel, S., Haque, S. U., Zafar, S., Shiwani, M. H., Samuel, N., Dar, F., Jackson, A., Lovett, B., Dindyal, S., Winter, H., Fletcher, T., Rahman, S., Wheatley, K., Nieto, T., Ayaani, S., Youssef, H., Nijjar, R. S., Watkin, H., Naumann, D., Emesih, S., Sarmah, P. B., Lee, K., Joji, N., Lambert, J., Heath, J., Teasdale, R. L., Weerasinghe, C., Needham, P. J., Welbourn, H., Forster, L., Finch, D., Blazeby, J. M., Robb, W., Mcnair, A. G. K., Hrycaiczuk, A., Charalabopoulos, A., Kadirkamanathan, S., Tang, C. -B., Jayanthi, N. V. G., Noor, N., Dobbins, B., Cockbain, A. J., Nilsen-Nunn, A., de Siqueira, J., Pellen, M., Cowley, J. B., W. -M., Ho, Miu, V., White, T. J., Hodgkins, K. A., Kinghorn, A., Tutton, M. G., Al-Abed, Y. A., Menzies, D., Ahmad, A., Reed, J., Khan, S., Monk, D., Vitone, L. J., Murtaza, G., Joel, A., Brennan, S., Shier, D., Zhang, C., Yoganathan, T., Robinson, S. J., Mccallum, I. J. D., Jones, M. J., Elsayed, M., Tuck, L., Wayman, J., Carney, K., Aroori, S., Hosie, K. B., Kimble, A., Bunting, D. M., Fawole, A. S., Basheer, M., Dave, R. V., Sarveswaran, J., Jones, E., Kendal, C., Tilston, M. P., Gough, M., Wallace, T., Singh, S., Mockford, J. D. K. A., Issa, E., Shah, N., Chauhan, N., Wilson, T. R., Forouzanfar, A., Wild, J. R. L., Nofal, E., Bunnell, C., Madbak, K., Rao, S. T. V., Devoto, L., Siddiqi, N., Khawaja, Z., Hewes, J. C., Gould, L., Chambers, A., Rodriguez, D. U., Sen, G., Robinson, S., Bartlett, F., Rae, D. M., Stevenson, T. E. J., Sarvananthan, K., Dwerryhouse, S. J., Higgs, S. M., Old, O. J., Hardy, T. J., Shah, R., Hornby, S. T., Keogh, K., Frank, L., Al-Akash, M., Upchurch, E. A., Frame, R. J., Hughes, M., Jelley, C., Weaver, S., Roy, S., Sillo, T. O., Galanopoulos, G., Cuming, T., Cunha, P., Tayeh, S., Kaptanis, S., Heshaishi, M., Eisawi, A., Abayomi, M., Ngu, W. S., Fleming, K., Bajwa, D. S., Chitre, V., Aryal, K., Ferris, P., Silva, M., Lammy, S., Mohamed, S., Khawaja, A., Hussain, A., Ghazanfar, M. A., Bellini, M. I., Ebdewi, H., Elshaer, M., Gravante, G., Drake, B., Ogedegbe, A., Mukherjee, D., Arhi, C., Giwa, L., Iqbal, N., Watson, N. F., Aggarwal, S. K., Orchard, P., Villatoro, E., Willson, P. D., Mok, K. W. J., Woodman, T., Deguara, J., Garcea, G., Babu, B. I., Dennison, A. R., Malde, D., Lloyd, D., Satheesan, S., Al-Taan, O., Boddy, A., Slavin, J. P., Jones, R. P., Ballance, L., Gerakopoulos, S., Jambulingam, P., Mansour, S., Sakai, N., Acharya, V., Sadat, M. M., Karim, L., Larkin, D., Amin, K., Khan, A., Law, J., Jamdar, S., Smith, S. R., Sampat, K., O'Shea, K. M., Manu, M., Asprou, F. M., Malik, N. S., Chang, J., Lewis, M., Roberts, G. P., Karavadra, B., Photi, E., Hewes, J., Rodriguez, D., O'Reilly, D. A., Rate, A. J., Sekhar, H., Henderson, L. T., Starmer, B. Z., Coe, P. O., Tolofari, S., Barrie, J., Bashir, G., Sloane, J., Madanipour, S., Halkias, C., Trevatt, A. E. J., Borowski, D. W., Hornsby, J., Courtney, M. J., Virupaksha, S., Seymour, K., Hawkins, H., Bawa, S., Gallagher, P. V., Reid, A., Wood, P., Finch, J. G., Guy Finch, J., Parmar, J., Stirland, E., Gardner-Thorpe, J., Al-Muhktar, A., Peterson, M., Majeed, A., Bajwa, F. M., Martin, J., Choy, A., Tsang, A., Pore, N., Andrew, D. R., Al-Khyatt, W., Taylor, C., Bhandari, S., Subramanium, D., Toh, S. K. C., Carter, N. C., Tate, S., Pearce, B., Wainwright, D., Mercer, S. J., Knight, B., Vijay, V., Alagaratnam, S., Sinha, S., El-Hasani, S. S., Hussain, A. A., Bhattacharya, V., Kansal, N., Fasih, T., Jackson, C., Siddiqui, M. N., Chishti, I. A., Fordham, I. J., Siddiqui, Z., Bausbacher, H., Geogloma, I., Gurung, K., Tsavellas, G., Basynat, P., Shrestha, A. K., Basu, S., Chhabra, A., Harilingam, M., Rabie, M., Akhtar, M., Kumar, P., Jafferbhoy, S. F., Hussain, N., Raza, S., Haque, M., Alam, I., Aseem, R., Patel, S., Asad, M., Booth, M. I., Ball, W. R., Wood, C. P. J., Pinho-Gomes, A. C., Kausar, A., Obeidallah, M. R., Varghase, J., Lodhia, J., Bradley, D., Rengifo, C., Lindsay, D., Gopalswamy, S., Finlay, I., Wardle, S., Bullen, N., Iftikhar, S. Y., Awan, A., Ahmed, J., Leeder, P., Fusai, G., Bond-Smith, G., Psica, A., Puri, Y., Hou, D., Noble, F., Szentpali, K., Broadhurst, J., Date, R., Hossack, M. R., Goh, Y. L., Turner, P., Shetty, V., Riera, M., Macano, C. A. W., Sukha, A., Preston, S. R., Hoban, J. R., Puntis, D. J., Williams, S. V., Krysztopik, R., Kynaston, J., Batt, J., Doe, M., Goscimski, A., Jones, G. H., Hall, C., Carty, N., Panteleimonitis, S., Gunasekera, R. T., Sheel, A. R. G., Lennon, H., Hindley, C., Reddy, M., Kenny, R., Elkheir, N., Mcglone, E. R., Rajaganeshan, R., Hancorn, K., Hargreaves, A., Prasad, R., Longbotham, D. A., Vijayanand, D., Wijetunga, I., Ziprin, P., Nicolay, C. R., Yeldham, G., Read, E., Gossage, J. A., Rolph, R. C., Ebied, H., Phull, M., Khan, M. A., Popplewell, M., Kyriakidis, D., Henley, N., Packer, J. R., Derbyshire, L., Porter, J., Appleton, S., Farouk, M., Basra, M., Jennings, N. A., Ali, S., Kanakala, V., Ali, H., Lane, R., Dickson-Lowe, R., Zarsadias, P., Mirza, D., Puig, S., Al Amari, K., Vijayan, D., Sutcliffe, R., Marudanayagam, R., Hamady, Z., Prasad, A. R., Patel, A., Durkin, D., Kaur, P., Bowen, L., Byrne, J. P., Pearson, K. L., Delisle, T. G., Davies, J., Tomlinson, M. A., Johnpulle, M. A., Slawinski, C., Macdonald, A., Nicholson, J., Newton, K., Mbuvi, J., Farooq, A., Mothe, B. S., Zafrani, Z., Brett, D., Francombe, J., Barnes, J., Cheung, M., Al-Bahrani, A. Z., Preziosi, G., Urbonas, T., Alberts, J., Mallik, M., Patel, K., Segaran, A., Doulias, T., Sufi, P. A., Yao, C., Pollock, S., Manzelli, A., Wajed, S., Kourkulos, M., Pezzuto, R., Wadley, M., Hamilton, E., Jaunoo, S., Padwick, R., Sayegh, M., Newton, R. C., Hebbar, M., Farag, S. F., Spearman, J., Hamdan, M. F., D'Costa, C., Blane, C., Giles, M., Peter, M. B., Hirst, N. A., Hossain, T., Pannu, A., El-Dhuwaib, Y., Morrison, T. E. M., Taylor, G. W., Thompson, R. L. E., Mccune, K., Loughlin, P., Lawther, R., Byrnes, C. K., Simpson, D. J., Mawhinney, A., Warren, C., Mckay, D., Mcilmunn, C., Martin, S., Macartney, M., Diamond, T., Davey, P., Jones, C., Clements, J. M., Digney, R., Chan, W. M., Mccain, S., Gull, S., Janeczko, A., Dorrian, E., Harris, A., Dawson, S., Johnston, D., Mcaree, B., Ghareeb, E., Thomas, G., Connelly, M., Mckenzie, S., Cieplucha, K., Spence, G., Campbell, W., Hooks, G., Bradley, N., Hill, A. D. K., Cassidy, J. T., Boland, M., Burke, P., Nally, D. M., Khogali, E., Shabo, W., Iskandar, E., Mcentee, G. P., O'Neill, M. A., Peirce, C., Lyons, E. M., O'Sullivan, A. W., Thakkar, R., Carroll, P., Ivanovski, I., Balfe, P., Lee, M., Winter, D. C., Kelly, M. E., Hoti, E., Maguire, D., Karunakaran, P., Geoghegan, J. G., Mcdermott, F., Martin, S. T., Cross, K. S., Cooke, F., Zeeshan, S., Murphy, J. O., Mealy, K., Mohan, H. M., Nedujchelyn, Y., Ullah, M. F., Ahmed, I., Giovinazzo, F., Milburn, J., Prince, S., Brooke, E., Buchan, J., Khalil, A. M., Vaughan, E. M., Ramage, M. I., Aldridge, R. C., Gibson, S., Nicholson, G. A., Vass, D. G., Grant, A. J., Holroyd, D. J., Jones, M. A., Sutton, C. M. L. R., O'Dwyer, P., Nilsson, F., Weber, B., Williamson, T. K., Lalla, K., Bryant, A., Carter, C. R., Forrest, C. R., Hunter, D. I., Nassar, A. H., Orizu, M. N., Knight, K., Qandeel, H., Suttie, S., Belding, R., Mcclarey, A., Boyd, A. T., Guthrie, G. J. K., Lim, P. J., Luhmann, A., Watson, A. J. M., Richards, C. H., Nicol, L., Madurska, M., Harrison, E., Boyce, K. M., Roebuck, A., Ferguson, G., Pati, P., Wilson, M. S. J., Dalgaty, F., Fothergill, L., Driscoll, P. J., Mozolowski, K. L., Banwell, V., Bennett, S. P., Rogers, P. N., Skelly, B. L., Rutherford, C. L., Mirza, A. K., Lazim, T., Lim, H. C. C., Duke, D., Ahmed, T., Beasley, W. D., Wilkinson, M. D., Maharaj, G., Malcolm, C., Brown, T. H., Al-Sarireh, B., Shingler, G. M., Mowbray, N., Radwan, R., Morcous, P., Wood, S., Kadhim, A., Stewart, D. J., Baker, A. L., Tanner, N., Shenoy, H., Hafiz, S., De Marchi, J. A., Singh-Ranger, D., Hisham, E., Ainley, P., O'Neill, S., Terrace, J., Napetti, S., Hopwood, B., Rhys, T., Downing, J., Kanavati, O., Coats, M., Aleksandrov, D., Kallaway, C., Yahya, S., Templeton, A., Trotter, M., Lo, C., Dhillon, A., Heywood, N., Aawsaj, Y., Hamdan, A., Reece-Bolton, O., Mcguigan, A., Shahin, Y., Aymon, Luther, A. A., Nicholson, J. A., Rajendran, I., Boal, M., and Ritchie, J.
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Adult ,Male ,operative difficulty ,medicine.medical_specialty ,medicine.medical_treatment ,Difficulty grading ,difficult cholecystectomy ,predictive score ,surgery ,laparoscopic ,cholecystectomy ,Surgical planning ,Cohort Studies ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,Preoperative Care ,Humans ,Medicine ,Laparoscopic cholecystectomy ,Framingham Risk Score ,business.industry ,General surgery ,Reproducibility of Results ,Middle Aged ,medicine.disease ,Pre operative ,Single surgeon ,Cholecystectomy, Laparoscopic ,ROC Curve ,030220 oncology & carcinogenesis ,Multivariate Analysis ,Cholecystitis ,Female ,030211 gastroenterology & hepatology ,Surgery ,Cholecystectomy ,business ,Abdominal surgery - Abstract
The prediction of a difficult cholecystectomy has traditionally been based on certain pre-operative clinical and imaging factors. Most of the previous literature reported small patient cohorts and have not used an objective measure of operative difficulty. The aim of this study was to develop a pre-operative score to predict difficult cholecystectomy, as defined by a validated intra-operative difficulty grading scale. Two cohorts from prospectively maintained databases of patients who underwent laparoscopic cholecystectomy were analysed: the CholeS Study (8755 patients) and a single surgeon series (4089 patients). Factors potentially predictive of difficulty were correlated to the Nassar intra-operative difficulty scale. A multivariable binary logistic regression analysis was then used to identify factors that were independently associated with difficult laparoscopic cholecystectomy, defined as operative difficulty grades 3 to 5. The resulting model was then converted to a risk score, and validated on both internal and external datasets. Increasing age and ASA classification, male gender, diagnosis of CBD stone or cholecystitis, thick-walled gallbladders, CBD dilation, use of pre-operative ERCP and non-elective operations were found to be significant independent predictors of difficult cases. A risk score based on these factors returned an area under the ROC curve of 0.789 (95% CI 0.773–0.806, p
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- 2019
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9. Understanding the Strong Metal–Support Interaction (SMSI) Effect in CuxNi1–x/CeO2 (0 < x < 1) Nanoparticles for Enhanced Catalysis
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Guilherme B. Della Mea, Maximiliano Segala, Virginia Pérez-Dieste, Fabiano Bernardi, Daniel L. Baptista, Wallace T. Figueiredo, and Carlos Escudero
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Metal ,Cerium oxide ,Chemistry ,visual_art ,visual_art.visual_art_medium ,Nanoparticle ,General Materials Science ,Photochemistry ,Catalysis - Abstract
The strong metal–support interaction (SMSI) effect plays a central role in catalysis by decreasing the catalytic activity or even improving it in some specific cases. In spite of the intense resear...
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- 2019
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10. A CT Algorithm Can Elevate the Differential Diagnosis of Interstitial Lung Disease by Non-specialists to Equal That of Specialist Thoracic Radiologists
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Scott A. Simpson, Beth Zigmund, Cheilonda Johnson, Shweta Sood, Maya Galperin-Aisenberg, Karen C. Patterson, Drew A. Torigian, Wallace T. Miller, Ali Dhanaliwala, and Christina Olivias
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business.industry ,education ,Interstitial lung disease ,High resolution ,medicine.disease ,Diagnosis, Differential ,Radiologists ,Medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Medical diagnosis ,Differential diagnosis ,business ,Lung Diseases, Interstitial ,Tomography, X-Ray Computed ,Algorithm ,Pulmonologists ,Algorithms - Abstract
Diagnosis of diffuse parenchymal lung diseases (DPLD) on high resolution CT (HRCT) is difficult for non-expert radiologists due to varied presentation for any single disease and overlap in presentation between diseases.To evaluate whether a pattern-based training algorithm can improve the ability of non-experts to diagnosis of DPLD.Five experts (cardiothoracic-trained radiologists), and 25 non-experts (non-cardiothoracic-trained radiologists, radiology residents, and pulmonologists) were each assigned a semi-random subset of cases from a compiled database of DPLD HRCTs. Each reader was asked to create a top three differential for each case. The non-experts were then given a pattern-based training algorithm for identifying DPLDs. Following training, the non-experts were again asked to create a top three differential for each case that they had previously evaluated. Accuracy between groups was compared using Chi-Square analysis.A total of 400 and 1450 studies were read by experts and non-experts, respectively. Experts correctly placed the diagnosis as the first item on the differential versus having the correct diagnosis as one of their top three diagnoses at an overall rate of 48 and 64.3%, respectively. Pre-training, non-experts achieved a correct diagnosis/top three of 32.5 and 49.7%, respectively. Post-training, non-experts demonstrated a correct diagnosis/top three of 41.2 and 65%, a statistically significant increase (p0.0001). In addition, post training, there was no difference between non-experts and experts in placing the correct diagnosis within their top three differential.The diagnosis of DPLDs by HRCT imaging alone is relatively poor. However, use of a pattern-based teaching algorithm can improve non-expert interpretation and enable non-experts to include the correct diagnosis within their differential diagnoses at a rate comparable to expert cardiothoracic trained radiologists.
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- 2021
11. Groin wound infection after vascular exposure ( GIVE ) multicentre cohort study
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Gwilym, BL, Saratzis, A, Benson, RA, Forsythe, R, Dovell, G, Dattani, N, Lane, T, Shalhoub, J, Bosanquet, D, Hitchman, L, Onida, S, Ambler, GK, Nandhra, S, Stather, P, Singh, A, Mancuso, E, Arifi, M, Altabal, M, Elhadi, A, Althini, A, Ahmed, H, Davies, H, Rangaraju, M, Juszczak, M, Nicholls, J, Platt, N, Olivier, J, Kirkham, E, Cooper, D, Roy, I, Harrison, G, Ackah, J, Mittapalli, D, Barry, I, Richards, T, Elbasty, A, Moore, H, Bajwa, A, Duncan, A, Batchelder, A, Vanias, T, Brown, M, Yap, T, Green, L, Smith, G, Hurst, K, Rodriguez, DU, Schofield, E, Danbury, H, Wallace, T, Forsyth, J, Stimpson, A, Hopkins, L, Mohiuddin, K, Mohammadi‐Zaniani, G, Tigkiropoulos, K, Shalan, A, Bashar, K, Sam, R, Forrest, C, Debono, S, Hussey, K, Falconer, R, Korambayil, S, Brennan, C, Wilson, T, Jones, A, Hardy, T, Burton, H, Cowan, A, Contractor, U, Townsend, E, Grant, O, Cronin, M, Rocker, M, Lowry, D, Clothier, A, Locker, D, McBride, O, Eng, C, Jamieson, R, Altaf, N, Picazo, F, Sieunarine, K, Crichton, A, Akhtar, T, Suttenwood, H, Guest, F, Wardle, B, Chinai, N, Hinchliffe, R, Beckitt, T, Wafi, A, Thapar, A, Moxey, P, Preece, R, Naidoo, K, Patterson, B, Perrott, C, Aherne, T, Hassanin, A, Boyle, E, Egan, B, Tierney, S, Patel, S, Birmpili, P, Kandola, S, Neequaye, S, Elhadi, M, Msherghi, A, Khaled, A, Meecham, L, Fisher, O, Mahmood, A, Milgrom, D, Burke, K, Saleh, F, and Al‐Samarneh, T
- Abstract
Surgical site infections (SSIs) of groin wounds are a common and potentially preventable cause of morbidity, mortality, and healthcare costs in vascular surgery. Our aim was to define the contemporaneous rate of groin SSIs, determine clinical sequelae, and identify risk factors for SSI.\ud \ud An international multicentre prospective observational cohort study of consecutive patients undergoing groin incision for femoral vessel access in vascular surgery was undertaken over 3 months, follow‐up was 90 days. The primary outcome was the incidence of groin wound SSI.\ud \ud 1337 groin incisions (1039 patients) from 37 centres were included. 115 groin incisions (8.6%) developed SSI, of which 62 (4.6%) were superficial. Patients who developed an SSI had a significantly longer length of hospital stay (6 versus 5 days, P = .005), a significantly higher rate of post‐operative acute kidney injury (19.6% versus 11.7%, P = .018), with no significant difference in 90‐day mortality. Female sex, Body mass index≥30 kg/m2, ischaemic heart disease, aqueous betadine skin preparation, bypass/patch use (vein, xenograft, or prosthetic), and increased operative time were independent predictors of SSI.\ud \ud Groin infections, which are clinically apparent to the treating vascular unit, are frequent and their development carries significant clinical sequelae. Risk factors include modifiable and non‐modifiable variables.
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- 2021
12. Sporadic coronavirus and human metapneumovirus lower respiratory tract infection in adults: comparison of chest CT findings and correlation with clinical outcomes
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Wallace T. Miller, Madeline A. Danny, and Lawrence A. Marinari
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medicine.medical_specialty ,biology ,business.industry ,viruses ,Chest ct ,virus diseases ,Pulmonary infection ,Assisted ventilation ,biology.organism_classification ,medicine.disease ,medicine.disease_cause ,respiratory tract diseases ,Human metapneumovirus ,Lung disease ,Internal medicine ,Lower respiratory tract infection ,Medicine ,business ,Healthcare providers ,Coronavirus - Abstract
Coronavirus(CoV) and human metaneumovirus(hMPV) are worldwide causes of lower respiratory tract infection(LRTI) in adults Chest CT is increasingly used in the diagnosis and management of LRTI Our aims were to compare chest CT features for LRTI due to sporadic CoV with hMPV and correlate chest CT findings with clinical outcomes We retrospectively reviewed records of 61 adults with nucleic acid amplification(NAA) assay positive for CoV and 104 adults positive for hMPV over 33 months at 4 community hospitals in the northeast US A thoracic radiologist reviewed all chest CT images Inclusion criteria included:1 symptoms of acute LRTI, 2 chest CT within 7 days of positive NAA assay, 3 no other pulmonary infection/lung disease that might interfere with chest CT interpretation Ground-glass opacities(GGO) were more frequent (p< 05) with hMPV(47/104,45%) than with sporadic CoV(15/61,25%) Multifocal consolidation was more common (p< 05) with hMPV(31/104,30%) than with sporadic CoV(8/61,13%) LRTI without chest CT findings was more common (p< 05) with sporadic CoV (28/61,46%) than with hMPV (16/104,15%) For hMPV, multifocal consolidation was associated(p< 05) with treatment with assisted ventilation(9/30,30%) For hMPV, no other chest CT finding correlated with any studied outcome(new supplementary oxygen at discharge, discharge to skilled facility, hospital re-admission within 30 days) No chest CT finding correlated with any studied outcome for sporadic CoV With hMPV, healthcare providers should be aware that multifocal consolidation on chest CT often portends treatment with invasive/non-invasive ventilatory support
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- 2020
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13. A Validated Model for the Imaging Diagnosis of Cystic Lung Disease
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A. Wani, Scott A. Simpson, K.C. Patterson, M. Galperin-Aizenberg, S. Sood, and Wallace T. Miller
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medicine.medical_specialty ,business.industry ,Cystic lung disease ,Imaging diagnosis ,Medicine ,Radiology ,business - Published
- 2020
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14. Imaging Patterns of Interstitial Fibrosis
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S. Sood, Cheilonda Johnson, Wallace T. Miller, K.C. Patterson, Scott A. Simpson, and M. Hershman
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Pathology ,medicine.medical_specialty ,business.industry ,Medicine ,Interstitial fibrosis ,business - Published
- 2020
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15. New insights on the electronic factor of the SMSI effect in Pd/TiO2 nanoparticles
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Edmar A. Soares, Wallace T. Figueiredo, Silvio Buchner, Maximiliano Segala, Daniel L. Baptista, Fabiano Bernardi, Dirléia S. Lima, Oscar W. Perez-Lopez, Roland Hergenröder, Clóvis G. Vieira, Vágner E. Carvalho, Ravi Prakash, and Hannes Raschke
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Materials science ,Tio2 nanoparticles ,General Physics and Astronomy ,Surfaces and Interfaces ,General Chemistry ,Condensed Matter Physics ,Surfaces, Coatings and Films ,Catalysis ,X-ray photoelectron spectroscopy ,Chemical physics ,Pd nanoparticles ,Density functional theory ,Reduction treatment ,Ambient pressure ,Ultraviolet photoelectron spectroscopy - Abstract
Whereas observed and explored for over 40 years, there are still open questions regarding the nature of the Strong Metal-Support Interaction (SMSI) effect. The lack of a precise determination of the atomic mechanisms of electronic and geometrical factors of the SMSI effect hinders the application of metal-support systems towards several catalytic reactions. The present study sheds light on the electronic factor of the SMSI effect in Pd/TiO2 nanoparticles by using Near Ambient Pressure Photoelectron Spectroscopy (NAP-XPS), Ultraviolet Photoelectron Spectroscopy (UPS), and Density Functional Theory (DFT) calculations. The electronic and geometrical factor of the SMSI effect were observed during reduction treatment at 300 °C and 500 °C, respectively. The results enable mapping the electronic factor during reduction treatment at 300 °C, where a charge transfer from Pd nanoparticles to TiO2 support through Pd-O-Ti entities existing at the Pd-TiO2 interface is observed. Furthermore, the charge transfer is mediated by O p states present at the Pd-TiO2 interface.
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- 2022
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16. Multiplexed precision genome editing with trackable genomic barcodes in yeast
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Robert P. St.Onge, Wallace T Burnett, Alex R. Lederer, Maddison A Morgan, Wu Wei, Kevin Roy, Chelsea Szu Tu, Raeka S. Aiyar, Michelle Nguyen, James E. Haber, Marc L. Salit, Sibylle C. Vonesch, Justin D. Smith, Kevin M Orsley, Vytas A. Bankaitis, Julia Schulz, Sundari Suresh, Angela Chu, Gen Lin, Ronald W. Davis, Lars M. Steinmetz, Joe Horecka, and Ashutosh Tripathi
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0301 basic medicine ,Saccharomyces cerevisiae Proteins ,Saccharomyces cerevisiae ,Biomedical Engineering ,Bioengineering ,Computational biology ,Biology ,Barcode ,Applied Microbiology and Biotechnology ,Genome ,Article ,law.invention ,03 medical and health sciences ,Plasmid ,Genome editing ,law ,DNA Barcoding, Taxonomic ,Phospholipid Transfer Proteins ,DNA, Fungal ,Homologous Recombination ,Gene Editing ,Fungal genetics ,RNA, Fungal ,biology.organism_classification ,030104 developmental biology ,Amino Acid Substitution ,Essential gene ,Molecular Medicine ,CRISPR-Cas Systems ,Genome, Fungal ,Homologous recombination ,Plasmids ,Biotechnology - Abstract
Our understanding of how genotype controls phenotype is limited by the scale at which we can precisely alter the genome and assess the phenotypic consequences of each perturbation. Here we describe a CRISPR-Cas9-based method for multiplexed accurate genome editing with short, trackable, integrated cellular barcodes (MAGESTIC) in Saccharomyces cerevisiae. MAGESTIC uses array-synthesized guide-donor oligos for plasmid-based high-throughput editing and features genomic barcode integration to prevent plasmid barcode loss and to enable robust phenotyping. We demonstrate that editing efficiency can be increased more than fivefold by recruiting donor DNA to the site of breaks using the LexA-Fkh1p fusion protein. We performed saturation editing of the essential gene SEC14 and identified amino acids critical for chemical inhibition of lipid signaling. We also constructed thousands of natural genetic variants, characterized guide mismatch tolerance at the genome scale, and ascertained that cryptic Pol III termination elements substantially reduce guide efficacy. MAGESTIC will be broadly useful to uncover the genetic basis of phenotypes in yeast.
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- 2018
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17. S109 Human metapneumovirus lower respiratory tract infection in adults: chest CT imaging features and correlation with clinical outcomes
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Madeline A. Danny, Lawrence A. Marinari, and Wallace T. Miller
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medicine.medical_specialty ,Bronchial wall ,biology ,Respiratory tract infections ,business.industry ,Medical record ,Chest ct ,Pulmonary disease ,biology.organism_classification ,medicine.disease ,respiratory tract diseases ,medicine.anatomical_structure ,Human metapneumovirus ,Lower respiratory tract infection ,Medicine ,Radiology ,business ,Respiratory tract - Abstract
Human metapneumovirus (hMPV) has increasingly been identified as an important, worldwide cause of lower respiratory tract infections (LRTI) in adults. Our goals were to determine the chest CT imaging features of LRTI due to hMPV and to correlate chest CT imaging features with clinical outcomes. We retrospectively reviewed the medical records and chest CT images of 100 adults collected over 33 months at 4 community hospitals in the northeast US. Chest CT images were reviewed by an experienced thoracic radiologist. Study subjects satisfied 4 criteria: 1. acute lower respiratory tract symptoms, 2. positive reverse-transcriptase polymerase chain reaction (RT-PCR) assay of nasopharyngeal swab for hMPV, 3. chest CT within 7 days of positive RT-PCR assay for hMPV, 4. no other pulmonary infection or other pulmonary disease that might interfere with chest CT interpretation. On review, 16/100 had focal lung consolidation, 30/100 had multifocal lung consolidation, 31/100 had bronchial wall thickening, 44/100 had ground glass opacities and 62/100 had tree-in-bud opacities. Multifocal lung consolidation was associated with increased frequency (9/30, 30%) of treatment with invasive or non-invasive ventilatory support (p
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- 2019
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18. Lower Respiratory Tract Infection with Human Metapneumovirus: Chest CT Imaging Features and Comparison with Other Viruses
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Madeline A. Danny, Lawrence A. Marinari, Scott Simpson, Wallace T. Miller, and James E. Schmitt
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Adult ,Male ,Pathology ,medicine.medical_specialty ,Paramyxoviridae ,viruses ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,stomatognathic system ,Human metapneumovirus ,Lower respiratory tract infection ,Medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Metapneumovirus ,Lung ,Respiratory Tract Infections ,Aged ,Retrospective Studies ,Aged, 80 and over ,Paramyxoviridae Infections ,biology ,Respiratory tract infections ,business.industry ,virus diseases ,General Medicine ,respiratory system ,Middle Aged ,medicine.disease ,biology.organism_classification ,respiratory tract diseases ,Pneumonia ,Bronchiolitis ,030220 oncology & carcinogenesis ,Bronchitis ,Female ,business ,Tomography, X-Ray Computed - Abstract
Purpose Human metapneumovirus has been increasingly identified as a cause of lower respiratory tract infection in adults worldwide. The CT imaging features of human metapneumovirus in adults have not been characterized. The purpose of this paper is to determine the imaging features of human metapneumovirus and to compare them with features of other viruses. Methods Two clinicians retrospectively reviewed the medical records of 104 adults with lower respiratory tract infection due to human metapneumovirus at four hospitals in the northeast USA over 32 months. CT images were evaluated by two chest radiologists for airspace consolidation, bronchiectasis, bronchial wall thickening, ground-glass opacities, pleural effusion and tree-in-bud opacities and the dominant imaging pattern. Results for human metapneumovirus were compared with results previously reported for other viruses. Results Human metapneumovirus predominantly caused an airway-centric pattern (71-81/104, 68-77%) of infection characterized by bronchial wall thickening, tree-in-bud opacities, peri-bronchial consolidation and/or peri-bronchial ground-glass opacities. The airway-centric pattern has been previously reported with other paramyxoviridae (parainfluenza virus and respiratory syncytial virus). However, human metapneumovirus was significantly more likely (p = 0.03-0.001) to cause bronchopneumonia (46-55%) than parainfluenza virus (17%) or respiratory syncytial virus (21%). Follow-up CT in 41 (39%) patients with hMPV revealed resolution of findings in 38/41 (91%). Conclusion The paramyxoviridae, including human metapneumovirus, are known to have a propensity to infect ciliated respiratory cells and we have demonstrated this leads to a propensity to cause bronchitis, bronchiolitis and bronchopneumonia on CT scans. Of these, human metapneumovirus is most likely to cause bronchopneumonia. Healthcare providers should consider human metapneumovirus as a cause of pneumonia on chest CT.
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- 2019
19. Sporadic coronavirus lower respiratory tract infection in adults: chest CT imaging features and comparison with other viruses
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Madeline A. Danny, Lawrence A. Marinari, and Wallace T. Miller
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Pathology ,medicine.medical_specialty ,biology ,business.industry ,viruses ,Chest ct ,virus diseases ,Acute infection ,Pulmonary disease ,respiratory system ,medicine.disease_cause ,medicine.disease ,biology.organism_classification ,Virus ,respiratory tract diseases ,Human metapneumovirus ,Lower respiratory tract infection ,medicine ,Respiratory system ,business ,Coronavirus - Abstract
Coronavirus(CoV) has been associated with lower respiratory tract infection(LRTI) in adults worldwide. The CoV associated with Sudden Acute Respiratory Syndrone and Middle East Respiratory Syndrone typically cause ground-glass opacities(GGO) and/or consolidation on chest CT. Chest CT features of sporadic CoV(subtypes: HKU1, NL63, OC43, 229E) have not been characterizedc. Our aims were to characterize chest CT features of sporadic CoV and compare these findings with those from other viruses. We retrospectively reviewed the records and chest CT images of 61 adults over 32 months at 4 community hospitals in the northeast US. CT images were reviewed by an experienced thoracic radiologist. Study subjects satisfied 4 criteria: 1) symptoms of acute LRTI, 2) positive polymerase chain reaction assay for CoV, 3)CT within 7 days of positive assay for CoV, 4)no other pulmonary infection or other pulmonary disease that might interfere with CT interpretation. We compared the chest CT features of sporadic CoV with those we previously reported for adenovirus, influenza, human metapneumovirus (hMPV), parainfluenza virus (PIV) and respiratory syncytial virus. On review of CoV cases, 11(18%) had bronchial wall thickening, 15(25%) had GGO, 12(20%) had lung consolidation and 13(21%) had tree-in-bud opacities. Twenty-eight(46%) had no chest CT findings related to acute infection. Sporadic CoV was similar to influenza but different from PIV (p
- Published
- 2019
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20. Unlocking genomic diversity of pepper (Capsicum spp.) collections held in genebanks: perspectives for breeding and germplasm management
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Tripodi, P., Barchi, L., Acquadro, A., Schafleitner, R., Prohens, J., Diez, M. J., Börne, r. A., Bovy, A., Salinier, J., Boyaci, F., Tringovska, I., Brouwer, M., Wallace, T., Portis, E., Finkers, R., Lanteri, S., Paran, I., Lefebvre, V., Giuliano, G., and Stein, N.
- Published
- 2019
21. Correction to: Utilisation of an operative difficulty grading scale for laparoscopic cholecystectomy
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Griffiths, E. A., Hodson, J., Vohra, R. S., Marriott, P., Katbeh, T., Zino, S., Nassar, A. H. M., Kirkham, A. J., Pasquali, S., Johnstone, M., Spreadborough, P., Alderson, D., Fenwick, S., Elmasry, M., Nunes, Q. M., Kennedy, D., Khan, R. B., Khan, M. A. S., Magee, C. J., Jones, S. M., Mason, D., Parappally, C. P., Mathur, P., Saunders, M., Jamel, S., Haque, S. U., Zafar, S., Shiwani, M. H., Samuel, N., Dar, F., Jackson, A., Lovett, B., Dindyal, S., Winter, H., Fletcher, T., Rahman, S., Wheatley, K., Nieto, T., Ayaani, S., Youssef, H., Nijjar, R. S., Watkin, H., Naumann, D., Emesih, S., Sarmah, P. B., Lee, K., Joji, N., Lambert, J., Heath, J., Teasdale, R. L., Weerasinghe, C., Needham, P. J., Welbourn, H., Forster, L., Finch, D., Blazeby, J. M., Robb, W., Mcnair, A. G. K., Hrycaiczuk, A., Charalabopoulos, A., Kadirkamanathan, S., Tang, C. -B., Jayanthi, N. V. G., Noor, N., Dobbins, B., Cockbain, A. J., Nilsen-Nunn, A., de Siqueira, J., Pellen, M., Cowley, J. B., W. -M., Ho, Miu, V., White, T. J., Hodgkins, K. A., Kinghorn, A., Tutton, M. G., Al-Abed, Y. A., Menzies, D., Ahmad, A., Reed, J., Khan, S., Monk, D., Vitone, L. J., Murtaza, G., Joel, A., Brennan, S., Shier, D., Zhang, C., Yoganathan, T., Robinson, S. J., Mccallum, I. J. D., Jones, M. J., Elsayed, M., Tuck, L., Wayman, J., Carney, K., Aroori, S., Hosie, K. B., Kimble, A., Bunting, D. M., Fawole, A. S., Basheer, M., Dave, R. V., Sarveswaran, J., Jones, E., Kendal, C., Tilston, M. P., Gough, M., Wallace, T., Singh, S., Mockford, J. D. K. A., Issa, E., Shah, N., Chauhan, N., Wilson, T. R., Forouzanfar, A., Wild, J. R. L., Nofal, E., Bunnell, C., Madbak, K., Rao, S. T. V., Devoto, L., Siddiqi, N., Khawaja, Z., Hewes, J. C., Gould, L., Chambers, A., Rodriguez, D. U., Sen, G., Robinson, S., Bartlett, F., Rae, D. M., Stevenson, T. E. J., Sarvananthan, K., Dwerryhouse, S. J., Higgs, S. M., Old, O. J., Hardy, T. J., Hornby, R. S. S. T., Keogh, K., Frank, L., Al-Akash, M., Upchurch, E. A., Frame, R. J., Hughes, M., Jelley, C., Weaver, S., Roy, S., Sillo, T. O., Galanopoulos, G., Cuming, T., Cunha, P., Tayeh, S., Kaptanis, S., Heshaishi, M., Eisawi, A., Abayomi, M., Ngu, W. S., Fleming, K., Bajwa, D. S., Chitre, V., Aryal, K., Ferris, P., Silva, M., Mohamed, S. L. S., Khawaja, A., Hussain, A., Ghazanfar, M. A., Bellini, M. I., Ebdewi, H., Elshaer, M., Gravante, G., Drake, B., Ogedegbe, A., Mukherjee, D., Arhi, C., Iqbal, L. G. N., Watson, N. F., Aggarwal, S. K., Orchard, P., Villatoro, E., Willson, P. D., Mok, K. W. J., Woodman, T., Deguara, J., Garcea, G., Babu, B. I., Dennison, A. R., Malde, D., Lloyd, D., Satheesan, S., Al-Taan, O., Boddy, A., Slavin, J. P., Jones, R. P., Ballance, L., Gerakopoulos, S., Jambulingam, P., Mansour, S., Sakai, N., Acharya, V., Sadat, M. M., Karim, L., Larkin, D., Amin, K., Khan, A., Law, J., Jamdar, S., Smith, S. R., Sampat, K., O'Shea, K. M., Manu, M., Asprou, F. M., Malik, N. S., Chang, J., Lewis, M., Roberts, G. P., Karavadra, B., Photi, E., Hewes, J., Rodriguez, D., O'Reilly, D. A., Rate, A. J., Sekhar, H., Henderson, L. T., Starmer, B. Z., Coe, P. O., Tolofari, S., Barrie, J., Bashir, G., Sloane, J., Madanipour, S., Halkias, C., Trevatt, A. E. J., Borowski, D. W., Hornsby, J., Courtney, M. J., Virupaksha, S., Seymour, K., Hawkins, H., Bawa, S., Gallagher, P. V., Reid, A., Wood, P., Finch, J. G., Guy Finch, J., Parmar, J., Stirland, E., Gardner-Thorpe, J., Al-Muhktar, A., Peterson, M., Majeed, A., Bajwa, F. M., Martin, J., Choy, A., Tsang, A., Pore, N., Andrew, D. R., Al-Khyatt, W., Bhandari, C. T. S., Subramanium, D., Toh, S. K. C., Carter, N. C., Tate, S., Pearce, B., Wainwright, D., Mercer, S. J., Knight, B., Vijay, V., Alagaratnam, S., Sinha, S., El-Hasani, S. S., Hussain, A. A., Bhattacharya, V., Kansal, N., Fasih, T., Jackson, C., Siddiqui, M. N., Chishti, I. A., Fordham, I. J., Siddiqui, Z., Bausbacher, H., Geogloma, I., Gurung, K., Tsavellas, G., Basynat, P., Shrestha, A. K., Basu, S., Harilingam, A. C. M., Rabie, M., Akhtar, M., Kumar, P., Jafferbhoy, S. F., Hussain, N., Raza, S., Haque, M., Alam, I., Aseem, R., Patel, S., Asad, M., Booth, M. I., Ball, W. R., Wood, C. P. J., Pinho-Gomes, A. C., Kausar, A., Obeidallah, M. R., Varghase, J., Lodhia, J., Bradley, D., Rengifo, C., Lindsay, D., Gopalswamy, S., Finlay, I., Wardle, S., Bullen, N., Iftikhar, S. Y., Awan, A., Ahmed, J., Leeder, P., Fusai, G., Bond-Smith, G., Psica, A., Puri, Y., Hou, D., Noble, F., Szentpali, K., Broadhurst, J., Date, R., Hossack, M. R., Goh, Y. L., Turner, P., Shetty, V., Riera, M., Macano, C. A. W., Sukha, A., Preston, S. R., Hoban, J. R., Puntis, D. J., Williams, S. V., Krysztopik, R., Kynaston, J., Batt, J., Doe, M., Goscimski, A., Jones, G. H., Hall, C., Carty, N., Panteleimonitis, S., Gunasekera, R. T., Sheel, A. R. G., Lennon, H., Hindley, C., Reddy, M., Kenny, R., Elkheir, N., Mcglone, E. R., Rajaganeshan, R., Hancorn, K., Hargreaves, A., Prasad, R., Longbotham, D. A., Vijayanand, D., Wijetunga, I., Ziprin, P., Nicolay, C. R., Yeldham, G., Read, E., Gossage, J. A., Rolph, R. C., Ebied, H., Phull, M., Khan, M. A., Popplewell, M., Kyriakidis, D., Henley, N., Packer, J. R., Derbyshire, L., Porter, J., Appleton, S., Farouk, M., Basra, M., Jennings, N. A., Ali, S., Kanakala, V., Ali, H., Lane, R., Dickson-Lowe, R., Zarsadias, P., Mirza, D., Puig, S., Amari, K. A., Vijayan, D., Sutcliffe, R., Marudanayagam, R., Hamady, Z., Prasad, A. R., Patel, A., Durkin, D., Kaur, P., Bowen, L., Byrne, J. P., Pearson, K. L., Delisle, T. G., Davies, J., Tomlinson, M. A., Johnpulle, M. A., Slawinski, C., Macdonald, A., Nicholson, J., Newton, K., Mbuvi, J., Farooq, A., Mothe, B. S., Zafrani, Z., Brett, D., Francombe, J., Barnes, J., Cheung, M., Al-Bahrani, A. Z., Preziosi, G., Urbonas, T., Alberts, J., Mallik, M., Patel, K., Segaran, A., Doulias, T., Sufi, P. A., Yao, C., Pollock, S., Manzelli, A., Wajed, S., Kourkulos, M., Pezzuto, R., Wadley, M., Hamilton, E., Jaunoo, S., Padwick, R., Sayegh, M., Newton, R. C., Hebbar, M., Farag, S. F., Spearman, J., Hamdan, M. F., D'Costa, C., Blane, C., Giles, M., Peter, M. B., Hirst, N. A., Hossain, T., El-Dhuwaib, A. P. Y., Morrison, T. E. M., Taylor, G. W., Thompson, R. L. E., Mccune, K., Loughlin, P., Lawther, R., Byrnes, C. K., Simpson, D. J., Mawhinney, A., Warren, C., Mckay, D., Mcilmunn, C., Martin, S., Macartney, M., Diamond, T., Davey, P., Jones, C., Clements, J. M., Digney, R., Chan, W. M., Mccain, S., Gull, S., Janeczko, A., Dorrian, E., Harris, A., Dawson, S., Johnston, D., Mcaree, B., Ghareeb, E., Thomas, G., Connelly, M., Mckenzie, S., Cieplucha, K., Spence, G., Campbell, W., Hooks, G., Bradley, N., Hill, A. D. K., Cassidy, J. T., Boland, M., Burke, P., Nally, D. M., Khogali, E., Shabo, W., Iskandar, E., Mcentee, G. P., O'Neill, M. A., Peirce, C., Lyons, E. M., O'Sullivan, A. W., Thakkar, R., Carroll, P., Ivanovski, I., Balfe, P., Lee, M., Winter, D. C., Kelly, M. E., Hoti, E., Maguire, D., Karunakaran, P., Geoghegan, J. G., Mcdermott, F., Martin, S. T., Cross, K. S., Cooke, F., Zeeshan, S., Murphy, J. O., Mealy, K., Mohan, H. M., Nedujchelyn, Y., Ullah, M. F., Ahmed, I., Giovinazzo, F., Milburn, J., Prince, S., Brooke, E., Buchan, J., Khalil, A. M., Vaughan, E. M., Ramage, M. I., Aldridge, R. C., Gibson, S., Nicholson, G. A., Vass, D. G., Grant, A. J., Holroyd, D. J., Angharad Jones, M., Sutton, C. M. L. R., O'Dwyer, P., Nilsson, F., Weber, B., Williamson, T. K., Lalla, K., Bryant, A., Ross Carter, C., Forrest, C. R., Hunter, D. I., Nassar, A. H., Orizu, M. N., Knight, K., Qandeel, H., Suttie, S., Belding, R., Mcclarey, A., Boyd, A. T., Guthrie, G. J. K., Lim, P. J., Luhmann, A., Watson, A. J. M., Richards, C. H., Nicol, L., Madurska, M., Harrison, E., Boyce, K. M., Roebuck, A., Ferguson, G., Pati, P., Wilson, M. S. J., Dalgaty, F., Fothergill, L., Driscoll, P. J., Mozolowski, K. L., Banwell, V., Bennett, S. P., Rogers, P. N., Skelly, B. L., Rutherford, C. L., Mirza, A. K., Lazim, T., Lim, H. C. C., Duke, D., Ahmed, T., Beasley, W. D., Wilkinson, M. D., Maharaj, G., Malcolm, C., Brown, T. H., Al-Sarireh, B., Shingler, G. M., Mowbray, N., Radwan, R., Morcous, P., Wood, S., Kadhim, A., Stewart, D. J., Baker, A. L., Tanner, N., Shenoy, H., Hafiz, S., De Marchi, J. A., Singh-Ranger, D., Hisham, E., Ainley, P., John Terrace, S. O. N., Napetti, S., Hopwood, B., Rhys, T., Downing, J., Kanavati, O., Coats, M., Aleksandrov, D., Kallaway, C., Yahya, S., Templeton, A., Trotter, M., Lo, C., Dhillon, A., Heywood, N., Aawsaj, Y., Hamdan, A., Reece-Bolton, O., Mcguigan, A., Shahin, Y., Aymon, Luther, A. A., Nicholson, J. A., Rajendran, I., Boal, M., and Ritchie, J.
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Adult ,Male ,operative difficulty ,medicine.medical_specialty ,MEDLINE ,cholecystectomy ,difficulty grading ,laparoscopic ,Surgery ,03 medical and health sciences ,0302 clinical medicine ,Postoperative Complications ,Internal medicine ,medicine ,Humans ,Prospective Studies ,GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries) ,Laparoscopic cholecystectomy ,Aged ,business.industry ,General surgery ,Correction ,Hepatology ,Length of Stay ,Middle Aged ,Conversion to Open Surgery ,Cholecystectomy, Laparoscopic ,ROC Curve ,030220 oncology & carcinogenesis ,Multivariate Analysis ,030211 gastroenterology & hepatology ,Female ,business ,Grading scale ,Abdominal surgery - Abstract
A reliable system for grading operative difficulty of laparoscopic cholecystectomy would standardise description of findings and reporting of outcomes. The aim of this study was to validate a difficulty grading system (Nassar scale), testing its applicability and consistency in two large prospective datasets.Patient and disease-related variables and 30-day outcomes were identified in two prospective cholecystectomy databases: the multi-centre prospective cohort of 8820 patients from the recent CholeS Study and the single-surgeon series containing 4089 patients. Operative data and patient outcomes were correlated with Nassar operative difficultly scale, using Kendall's tau for dichotomous variables, or Jonckheere-Terpstra tests for continuous variables. A ROC curve analysis was performed, to quantify the predictive accuracy of the scale for each outcome, with continuous outcomes dichotomised, prior to analysis.A higher operative difficulty grade was consistently associated with worse outcomes for the patients in both the reference and CholeS cohorts. The median length of stay increased from 0 to 4 days, and the 30-day complication rate from 7.6 to 24.4% as the difficulty grade increased from 1 to 4/5 (both p 0.001). In the CholeS cohort, a higher difficulty grade was found to be most strongly associated with conversion to open and 30-day mortality (AUROC = 0.903, 0.822, respectively). On multivariable analysis, the Nassar operative difficultly scale was found to be a significant independent predictor of operative duration, conversion to open surgery, 30-day complications and 30-day reintervention (all p 0.001).We have shown that an operative difficulty scale can standardise the description of operative findings by multiple grades of surgeons to facilitate audit, training assessment and research. It provides a tool for reporting operative findings, disease severity and technical difficulty and can be utilised in future research to reliably compare outcomes according to case mix and intra-operative difficulty.
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- 2018
22. Exposure to ambient particulate matter is associated with accelerated functional decline in idiopathic pulmonary fibrosis
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Rupal J. Shah, A. Russell Localio, Maryl Kreider, Trevor M. Penning, Tara Jackson, Christopher Winterbottom, Leslie A. Litzky, Belinda Rivera-Lebron, Karen C. Patterson, Krista Heinlen, Jason D. Christie, Wallace T. Miller, and Reynold A. Panettieri
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Male ,Pathology ,Time Factors ,Outcome Assessment ,air pollution ,Respiratory System ,Vital Capacity ,Environmental pollution ,Critical Care and Intensive Care Medicine ,Pulmonary function testing ,Cohort Studies ,Idiopathic pulmonary fibrosis ,0302 clinical medicine ,Sustainable Cities and Communities ,Pulmonary fibrosis ,Outcome Assessment, Health Care ,80 and over ,2.2 Factors relating to the physical environment ,Medicine ,030212 general & internal medicine ,Aetiology ,Lung ,interstitial lung disease ,Aged, 80 and over ,medicine.diagnostic_test ,Inhalation ,Interstitial lung disease ,Middle Aged ,respiratory system ,idiopathic pulmonary fibrosis ,Respiratory ,Cardiology ,Disease Progression ,Female ,Cardiology and Cardiovascular Medicine ,Pulmonary and Respiratory Medicine ,Spirometry ,medicine.medical_specialty ,Clinical Sciences ,Autoimmune Disease ,03 medical and health sciences ,FEV1/FVC ratio ,Rare Diseases ,Internal medicine ,Air Pollution ,Humans ,Climate-Related Exposures and Conditions ,Aged ,pulmonary fibrosis ,business.industry ,medicine.disease ,Idiopathic Pulmonary Fibrosis ,respiratory tract diseases ,Health Care ,Good Health and Well Being ,030228 respiratory system ,Particulate Matter ,environmental pollution ,Diffuse Lung Disease ,Digestive Diseases ,business - Abstract
BACKGROUND:\ud Idiopathic pulmonary fibrosis (IPF), a progressive disease with an unknown pathogenesis, may be due in part to an abnormal response to injurious stimuli by alveolar epithelial cells. Air pollution and particulate inhalation of matter evoke a wide variety of pulmonary and systemic inflammatory diseases. We therefore hypothesized that increased average ambient particulate matter (PM) concentrations would be associated with an accelerated rate of decline in FVC in IPF.\ud \ud METHODS:\ud We identified a cohort of subjects seen at a single university referral center from 2007 to 2013. Average concentrations of particulate matter < 10 and < 2.5 μg/m3 (PM10 and PM2.5, respectively) were assigned to each patient based on geocoded residential addresses. A linear multivariable mixed-effects model determined the association between the rate of decline in FVC and average PM concentration, controlling for baseline FVC at first measurement and other covariates.\ud \ud RESULTS:\ud One hundred thirty-five subjects were included in the final analysis after exclusion of subjects missing repeated spirometry measurements and those for whom exposure data were not available. There was a significant association between PM10 levels and the rate of decline in FVC during the study period, with each μg/m3 increase in PM10 corresponding with an additional 46 cc/y decline in FVC (P = .008).\ud \ud CONCLUSIONS:\ud Ambient air pollution, as measured by average PM10 concentration, is associated with an increase in the rate of decline of FVC in IPF, suggesting a potential mechanistic role for air pollution in the progression of disease.
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- 2018
23. Back to the future: sagittal CT in the evaluation of COPD
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Rosita M. Shah, Elana Den, Chiemezie Amadi, Jessica S. Hightower, James E. Schmitt, and Wallace T. Miller
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Adult ,Male ,Spirometry ,medicine.medical_specialty ,030218 nuclear medicine & medical imaging ,Pulmonary Disease, Chronic Obstructive ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Aged ,Neuroradiology ,Aged, 80 and over ,COPD ,medicine.diagnostic_test ,business.industry ,Reproducibility of Results ,Interventional radiology ,General Medicine ,Middle Aged ,medicine.disease ,Institutional review board ,Obstructive lung disease ,Sagittal plane ,respiratory tract diseases ,medicine.anatomical_structure ,030228 respiratory system ,Female ,Radiology ,Tomography, X-Ray Computed ,business ,Kappa - Abstract
To identify features of obstructive airway disease on sagittal reconstruction, compare the accuracy of findings to traditional imaging characteristics of COPD, and determine the fraction of additional cases identified using new characteristics. The study was approved by the centre’s Institutional Review Board and is HIPAA compliant. Two hundred sixteen patients with HRCT and spirometry within a 3-month window were included. Four radiologists evaluated each HRCT for traditional characteristics of COPD and new quantitative and qualitative features of obstruction on axial and sagittal reconstructions. Imaging characteristics were assessed for correlation with the spirometric diagnosis of obstructive airway disease. Quantitative and qualitative findings on sagittal reconstruction are highly specific for COPD (specificity >90 %). Features of hyperinflation on sagittal reconstruction are more accurate predictors of obstruction than traditional axial measures, with greater interobserver reliability (hyperinflation left hemidiaphragm: accuracy: 70.08 % ± 2.49 %; kappa: 0.511 versus traditional measures: accuracy: 62.00 % ± 5.38 %; kappa: 0.407). Sagittal reconstruction identified 27-70 % more patients with COPD than traditional axial findings (p
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- 2015
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24. The development and validation of a scoring tool to predict the operative duration of elective laparoscopic cholecystectomy
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Bharamgoudar, R., Sonsale, A., Hodson, J., Griffiths, E., Vohra, R.S., Kirkham, A.J., Pasquali, S., Marriott, P., Johnstone, M., Spreadborough, P., Alderson, D., Griffiths, E.A., Fenwick, S., Elmasry, M., Nunes, Q.M., Kennedy, D., Khan, R.B., Khan, M.A.S., Magee, C.J., Jones, S.M., Mason, D., Parappally, C.P., Mathur, P., Saunders, M., Jamel, S., Haque, S.U., Zafar, S., Shiwani, M.H., Samuel, N., Dar, F., Jackson, A., Lovett, B., Dindyal, S., Winter, H., Fletcher, T., Rahman, S., Wheatley, K., Nieto, T., Ayaani, S., Youssef, H., Nijjar, R.S., Watkin, H., Naumann, D., Emesih, S., Sarmah, P.B., Lee, K., Joji, N., Lambert, J., Heath, J., Teasdale, R.L., Weerasinghe, C., Needham, P.J., Welbourn, H., Forster, L., Finch, D., Blazeby, J.M., Robb, W., McNair, A.G.K., Hrycaiczuk, A., Charalabopoulos, A., Kadirkamanathan, S., Tang, C.-B., Jayanthi, N.V.G., Noor, N., Dobbins, B., Cockbain, A.J., Nilsen-Nunn, A., de Siqueira, J., Pellen, M., Cowley, J.B., Ho, W.-M., Miu, V., White, T.J., Hodgkins, K.A., Kinghorn, A., Tutton, M.G., Al-Abed, Y.A., Menzies, D., Ahmad, A., Reed, J., Khan, S., Monk, D., Vitone, L.J., Murtaza, G., Joel, A., Brennan, S., Shier, D., Zhang, C., Yoganathan, T., Robinson, S.J., McCallum, I.J.D., Jones, M.J., Elsayed, M., Tuck, L., Wayman, J., Carney, K., Aroori, S., Hosie, K.B., Kimble, A., Bunting, D.M., Fawole, A.S., Basheer, M., Dave, R.V., Sarveswaran, J., Jones, E., Kendal, C., Tilston, M.P., Gough, M., Wallace, T., Singh, S., Mockford, J.D.K.A., Issa, E., Shah, N., Chauhan, N., Wilson, T.R., Forouzanfar, A., Wild, J.R.L., Nofal, E., Bunnell, C., Madbak, K., Rao, S.T.V., Devoto, L., Siddiqi, N., Khawaja, Z., Hewes, J.C., Gould, L., Chambers, A., Rodriguez, D.U., Sen, G., Robinson, S., Bartlett, F., Rae, D.M., Stevenson, T.E.J., Sarvananthan, K., Dwerryhouse, S.J., Higgs, S.M., Old, O.J., Hardy, T.J., Shah, R., Hornby, S.T., Keogh, K., Frank, L., Al-Akash, M., Upchurch, E.A., Frame, R.J., Hughes, M., Jelley, C., Weaver, S., Roy, S., Sillo, T.O., Galanopoulos, G., Cuming, T., Cunha, P., Tayeh, S., Kaptanis, S., Heshaishi, M., Eisawi, A., Abayomi, M., Ngu, W.S., Fleming, K., Bajwa, D.S., Chitre, V., Aryal, K., Ferris, P., Silva, M., Lammy, S., Mohamed, S., Khawaja, A., Hussain, A., Ghazanfar, M.A., Bellini, M.I., Ebdewi, H., Elshaer, M., Gravante, G., Drake, B., Ogedegbe, A., Mukherjee, D., Arhi, C., Giwa, L., Iqbal, N., Watson, N.F., Aggarwal, S.K., Orchard, P., Villatoro, E., Willson, P.D., Mok, K.W.J., Woodman, T., Deguara, J., Garcea, G., Babu, B.I., Dennison, A.R., Malde, D., Lloyd, D., Satheesan, S., Al-Taan, O., Boddy, A., Slavin, J.P., Jones, R.P., Ballance, L., Gerakopoulos, S., Jambulingam, P., Mansour, S., Sakai, N., Acharya, V., Sadat, M.M., Karim, L., Larkin, D., Amin, K., Khan, A., Law, J., Jamdar, S., Smith, S.R., Sampat, K., O?shea, K.M., Manu, M., Asprou, F.M., Malik, N.S., Chang, J., Lewis, M., Roberts, G.P., Karavadra, B., Photi, E., Hewes, J., Rodriguez, D., O?Reilly, D.A., Rate, A.J., Sekhar, H., Henderson, L.T., Starmer, B.Z., Coe, P.O., Tolofari, S., Barrie, J., Bashir, G., Sloane, J., Madanipour, S., Halkias, C., Trevatt, A.E.J., Borowski, D.W., Hornsby, J., Courtney, M.J., Virupaksha, S., Seymour, K., Hawkins, H., Bawa, S., Gallagher, P.V., Reid, A., Wood, P., Finch, J.G., Guy Finch, J., Parmar, J., Stirland, E., Gardner-Thorpe, J., Al-Muhktar, A., Peterson, M., Majeed, A., Bajwa, F.M., Martin, J., Choy, A., Tsang, A., Pore, N., Andrew, D.R., Al-Khyatt, W., Taylor, C., Bhandari, S., Subramanium, D., Toh, S.K.C., Carter, N.C., Tate, S., Pearce, B., Wainwright, D., Mercer, S.J., Knight, B., Vijay, V., Alagaratnam, S., Sinha, S., El-Hasani, S.S., Hussain, A.A., Bhattacharya, V., Kansal, N., Fasih, T., Jackson, C., Siddiqui, M.N., Chishti, I.A., Fordham, I.J., Siddiqui, Z., Bausbacher, H., Geogloma, I., Gurung, K., Tsavellas, G., Basynat, P., Shrestha, A.K., Basu, S., Chhabra, A., Harilingam, M., Rabie, M., Akhtar, M., Kumar, P., Jafferbhoy, S.F., Hussain, N., Raza, S., Haque, M., Alam, I., Aseem, R., Patel, S., Asad, M., Booth, M.I., Ball, W.R., Wood, C.P.J., Pinho-Gomes, A.C., Kausar, A., Obeidallah, M.R., Varghase, J., Lodhia, J., Bradley, D., Rengifo, C., Lindsay, D., Gopalswamy, S., Finlay, I., Wardle, S., Bullen, N., Iftikhar, S.Y., Awan, A., Ahmed, J., Leeder, P., Fusai, G., Bond-Smith, G., Psica, A., Puri, Y., Hou, D., Noble, F., Szentpali, K., Broadhurst, J., Date, R., Hossack, M.R., Goh, Y.L., Turner, P., Shetty, V., Riera, M., Macano, C.A.W., Sukha, A., Preston, S.R., Hoban, J.R., Puntis, D.J., Williams, S.V., Krysztopik, R., Kynaston, J., Batt, J., Doe, M., Goscimski, A., Jones, G.H., Hall, C., Carty, N., Panteleimonitis, S., Gunasekera, R.T., Sheel, A.R.G., Lennon, H., Hindley, C., Reddy, M., Kenny, R., Elkheir, N., McGlone, E.R., Rajaganeshan, R., Hancorn, K., Hargreaves, A., Prasad, R., Longbotham, D.A., Vijayanand, D., Wijetunga, I., Ziprin, P., Nicolay, C.R., Yeldham, G., Read, E., Gossage, J.A., Rolph, R.C., Ebied, H., Phull, M., Khan, M.A., Popplewell, M., Kyriakidis, D., Henley, N., Packer, J.R., Derbyshire, L., Porter, J., Appleton, S., Farouk, M., Basra, M., Jennings, N.A., Ali, S., Kanakala, V., Ali, H., Lane, R., Dickson-Lowe, R., Zarsadias, P., Mirza, D., Puig, S., Al Amari, K., Vijayan, D., Sutcliffe, R., Marudanayagam, R., Hamady, Z., Prasad, A.R., Patel, A., Durkin, D., Kaur, P., Bowen, L., Byrne, J.P., Pearson, K.L., Delisle, T.G., Davies, J., Tomlinson, M.A., Johnpulle, M.A., Slawinski, C., Macdonald, A., Nicholson, J., Newton, K., Mbuvi, J., Farooq, A., Mothe, B.S., Zafrani, Z., Brett, D., Francombe, J., Barnes, J., Cheung, M., Al-Bahrani, A.Z., Preziosi, G., Urbonas, T., Alberts, J., Mallik, M., Patel, K., Segaran, A., Doulias, T., Sufi, P.A., Yao, C., Pollock, S., Manzelli, A., Wajed, S., Kourkulos, M., Pezzuto, R., Wadley, M., Hamilton, E., Jaunoo, S., Padwick, R., Sayegh, M., Newton, R.C., Hebbar, M., Farag, S.F., Spearman, J., Hamdan, M.F., D?Costa, C., Blane, C., Giles, M., Peter, M.B., Hirst, N.A., Hossain, T., Pannu, A., El-Dhuwaib, Y., Morrison, T.E.M., Taylor, G.W., Thompson, R.L.E., McCune, K., Loughlin, P., Lawther, R., Byrnes, C.K., Simpson, D.J., Mawhinney, A., Warren, C., McKay, D., McIlmunn, C., Martin, S., MacArtney, M., Diamond, T., Davey, P., Jones, C., Clements, J.M., Digney, R., Chan, W.M., McCain, S., Gull, S., Janeczko, A., Dorrian, E., Harris, A., Dawson, S., Johnston, D., McAree, B., Ghareeb, E., Thomas, G., Connelly, M., McKenzie, S., Cieplucha, K., Spence, G., Campbell, W., Hooks, G., Bradley, N., Hill, A.D.K., Cassidy, J.T., Boland, M., Burke, P., Nally, D.M., Khogali, E., Shabo, W., Iskandar, E., McEntee, G.P., O?Neill, M.A., Peirce, C., Lyons, E.M., O?Sullivan, A.W., Thakkar, R., Carroll, P., Ivanovski, I., Balfe, P., Lee, M., Winter, D.C., Kelly, M.E., Hoti, E., Maguire, D., Karunakaran, P., Geoghegan, J.G., McDermott, F., Martin, S.T., Cross, K.S., Cooke, F., Zeeshan, S., Murphy, J.O., Mealy, K., Mohan, H.M., Nedujchelyn, Y., Ullah, M.F., Ahmed, I., Giovinazzo, F., Milburn, J., Prince, S., Brooke, E., Buchan, J., Khalil, A.M., Vaughan, E.M., Ramage, M.I., Aldridge, R.C., Gibson, S., Nicholson, G.A., Vass, D.G., Grant, A.J., Holroyd, D.J., Jones, M.A., Sutton, C.M.L.R., O?Dwyer, P., Nilsson, F., Weber, B., Williamson, T.K., Lalla, K., Bryant, A., Carter, C.R., Forrest, C.R., Hunter, D.I., Nassar, A.H., Orizu, M.N., Knight, K., Qandeel, H., Suttie, S., Belding, R., McClarey, A., Boyd, A.T., Guthrie, G.J.K., Lim, P.J., Luhmann, A., Watson, A.J.M., Richards, C.H., Nicol, L., Madurska, M., Harrison, E., Boyce, K.M., Roebuck, A., Ferguson, G., Pati, P., Wilson, M.S.J., Dalgaty, F., Fothergill, L., Driscoll, P.J., Mozolowski, K.L., Banwell, V., Bennett, S.P., Rogers, P.N., Skelly, B.L., Rutherford, C.L., Mirza, A.K., Lazim, T., Lim, H.C.C., Duke, D., Ahmed, T., Beasley, W.D., Wilkinson, M.D., Maharaj, G., Malcolm, C., Brown, T.H., Al-Sarireh, B., Shingler, G.M., Mowbray, N., Radwan, R., Morcous, P., Wood, S., Kadhim, A., Stewart, D.J., Baker, A.L., Tanner, N., Shenoy, H., Hafiz, S., De Marchi, J.A., Singh-Ranger, D., Hisham, E., Ainley, P., O?Neill, S., Terrace, J., Napetti, S., Hopwood, B., Rhys, T., Downing, J., Kanavati, O., Coats, M., Aleksandrov, D., Kallaway, C., Yahya, S., Templeton, A., Trotter, M., Lo, C., Dhillon, A., Heywood, N., Aawsaj, Y., Hamdan, A., Reece-Bolton, O., McGuigan, A., Shahin, Y., Aymon, Luther, A.A., Nicholson, J.A., Rajendran, I., Boal, M., and Ritchie, J.
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Adult ,Male ,Scoring tool ,medicine.medical_specialty ,Patient factors ,medicine.medical_treatment ,Operative Time ,Operative duration ,030230 surgery ,Logistic regression ,Article ,patient factors ,03 medical and health sciences ,Laparoscopic cholecystectomy ,0302 clinical medicine ,Patient satisfaction ,030202 anesthesiology ,Interquartile range ,medicine ,Humans ,theatre utilisation ,Propensity Score ,Aged ,Framingham Risk Score ,Receiver operating characteristic ,business.industry ,prediction ,Middle Aged ,operative duration ,Cholecystectomy, Laparoscopic ,ROC Curve ,scoring tool ,Centre for Surgical Research ,Elective Surgical Procedures ,Theatre utilisation ,Emergency medicine ,Cohort ,Propensity score matching ,Female ,Surgery ,Cholecystectomy ,Prediction ,business - Abstract
Background The ability to accurately predict operative duration has the potential to optimise theatre efficiency and utilisation, thus reducing costs and increasing staff and patient satisfaction. With laparoscopic cholecystectomy being one of the most commonly performed procedures worldwide, a tool to predict operative duration could be extremely beneficial to healthcare organisations. Methods Data collected from the CholeS study on patients undergoing cholecystectomy in UK and Irish hospitals between 04/2014 and 05/2014 were used to study operative duration. A multivariable binary logistic regression model was produced in order to identify significant independent predictors of long (> 90 min) operations. The resulting model was converted to a risk score, which was subsequently validated on second cohort of patients using ROC curves. Results After exclusions, data were available for 7227 patients in the derivation (CholeS) cohort. The median operative duration was 60 min (interquartile range 45–85), with 17.7% of operations lasting longer than 90 min. Ten factors were found to be significant independent predictors of operative durations > 90 min, including ASA, age, previous surgical admissions, BMI, gallbladder wall thickness and CBD diameter. A risk score was then produced from these factors, and applied to a cohort of 2405 patients from a tertiary centre for external validation. This returned an area under the ROC curve of 0.708 (SE = 0.013, p 90 min increasing more than eightfold from 5.1 to 41.8% in the extremes of the score. Conclusion The scoring tool produced in this study was found to be significantly predictive of long operative durations on validation in an external cohort. As such, the tool may have the potential to enable organisations to better organise theatre lists and deliver greater efficiencies in care.
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- 2018
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25. Interstitial lung disease in the elderly
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Leslie A. Litzky, Jason D. Christie, Mary K. Porteous, Maryl Kreider, Charuhas Deshpande, Matthew J. Triano, Matthew Chadwick, Carly A. D’Errico, Karen C. Patterson, Wallace T. Miller, Rupal J. Shah, and Milton D. Rossman
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Male ,Pulmonary and Respiratory Medicine ,medicine.medical_specialty ,Subgroup analysis ,Critical Care and Intensive Care Medicine ,behavioral disciplines and activities ,Pulmonary function testing ,03 medical and health sciences ,Idiopathic pulmonary fibrosis ,0302 clinical medicine ,Usual interstitial pneumonia ,Internal medicine ,Epidemiology ,medicine ,Humans ,Prospective Studies ,030212 general & internal medicine ,Prospective cohort study ,Aged ,business.industry ,Interstitial lung disease ,Middle Aged ,respiratory system ,medicine.disease ,humanities ,Respiratory Function Tests ,Surgery ,respiratory tract diseases ,body regions ,030228 respiratory system ,Female ,Lung Diseases, Interstitial ,Tomography, X-Ray Computed ,Cardiology and Cardiovascular Medicine ,business ,Hypersensitivity pneumonitis - Abstract
Background\ud Despite the relationship between idiopathic pulmonary fibrosis (IPF) and advancing age, little is known about the epidemiology of interstitial lung disease (ILD) in the elderly. We describe the diagnoses, clinical characteristics, and outcomes of patients who were elderly at the time of ILD diagnosis.\ud \ud Methods\ud Among subjects from a prospective cohort study of ILD, elderly was defined as age ≥ 70 years. Diagnoses were derived from a multidisciplinary review. Differences between elderly and nonelderly groups were determined using the χ2 test and analysis of variance.\ud \ud Results\ud Of the 327 subjects enrolled, 80 (24%) were elderly. The majority of elderly subjects were white men. The most common diagnoses were unclassifiable ILD (45%), IPF (34%), connective tissue disease (CTD)-ILD (11%), and hypersensitivity pneumonitis (8%). Most elderly subjects (74%) with unclassifiable ILD had an imaging pattern inconsistent with usual interstitial pneumonia (UIP). There were no significant differences in pulmonary function or 3-year mortality between nonelderly and elderly subjects combined or in a subgroup analysis of those with IPF.\ud \ud Conclusions\ud Although IPF was the single most common diagnosis, the majority of elderly subjects had non-IPF ILD. Our findings highlight the need for every patient with new-onset ILD, regardless of age, to be surveyed for exposures and findings of CTD. Unclassifiable ILD was common among the elderly, but for most, the radiographic pattern was inconsistent with UIP. Although the effect of ILD may be more pronounced in the elderly due to reduced global functionality, ILD was not more severe or aggressive in this group.
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- 2017
26. Streptococcus anginosus Infections
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Bernie Y. Sunwoo and Wallace T. Miller
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Pulmonary and Respiratory Medicine ,Pathology ,medicine.medical_specialty ,medicine.diagnostic_test ,business.industry ,Critical Care and Intensive Care Medicine ,medicine.disease ,Empyema ,Diaphragm (structural system) ,Lower respiratory tract infection ,Streptococcus anginosus ,medicine ,Etiology ,Differential diagnosis ,Cardiology and Cardiovascular Medicine ,business ,Chest radiograph ,Abscess - Abstract
Streptococcus anginosus has long been recognized to cause invasive pyogenic infections. This holds true for thoracic infections where S. anginosus has a propensity for abscess and empyema formation. Early diagnosis is important given the significant morbidity and mortality associated with thoracic S. anginosus infections. Yet, distinguishing thoracic S. anginosus clinically is difficult. We present three cases of thoracic S. anginosus that demonstrated radiographic extension across tissue planes, including the interlobar fissure, diaphragm, and chest wall. Few infectious etiologies are known to cross tissue planes. Accordingly, we propose S. anginosus be considered among the differential diagnosis of potential infectious etiologies causing radiographic extension across tissue planes.
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- 2014
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27. The relative frequencies of causes of widespread ground-glass opacity: A retrospective cohort
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Wallace T. Miller, Michael G. Hewitt, Scott Simpson, and Thomas J. Reilly
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Lung Diseases ,Male ,medicine.medical_specialty ,Ground-glass opacity ,Diagnosis, Differential ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Aged ,Retrospective Studies ,Lung ,business.industry ,Interstitial lung disease ,Retrospective cohort study ,General Medicine ,Middle Aged ,medicine.disease ,Pulmonary edema ,Connective tissue disease ,Surgery ,medicine.anatomical_structure ,Bone marrow suppression ,Female ,Radiology ,medicine.symptom ,Tomography, X-Ray Computed ,business ,Hypersensitivity pneumonitis - Abstract
The purpose of our study was to determine the relative frequencies of causes of widespread ground-glass opacity (GGO) in an unselected, consecutive patient population and to identify any associated imaging findings that can narrow or reorganize the differential.The study was approved by the center's IRB and is HIPPA compliant. Cases with widespread GGO in the radiology report were identified by searching the Radiology Information System. Medical records and CT scan examinations were reviewed for the causes of widespread GGO. Associations between a less dominant imaging finding and a particular diagnosis were analyzed with the chi square test. Our study group consisted of 234 examinations with 124 women and 110 men and a mean age of 53.7 years.A cause was established in 204 (87.2%) cases. Hydrostatic pulmonary edema was most common with 131 cases (56%). Interstitial lung diseases (ILD) were the next most common, most often hypersensitivity pneumonitis (HP) (n=12, 5%) and connective tissue disease related ILD (n=7, 3%). Infection accounted for 5% (12 cases). A few miscellaneous diseases accounted for 5 cases (2.1%). The combination of septal thickening and pleural effusions had a specificity of 0.91 for hydrostatic pulmonary edema (P.001) while centrilobular nodules and air trapping had a specificity of 1.0 for HP. In 24 (10.2%) patients, increased opacification from expiration was incorrectly interpreted as representing widespread ground glass opacity. The relative frequency of disease dramatically changed according to the setting. In the inpatient setting, diffuse alveolar disease and diffuse infection accounted for all of the known diagnoses. Pulmonary edema accounted for 75% of the diagnoses and diffuse infection accounted for approximately 7%. In the outpatient setting, interstitial lung disease was the most common cause, accounting for 26 of 53 cases (49%). Regarding immunocompromised patients, hydrostatic pulmonary edema was still the most common cause (46%) with diffuse infection (24%) the next most likely diagnosis. For patients with bone marrow suppression, 80% of the cases were due to opportunistic viral infection.Widespread GGO is most commonly a manifestation of hydrostatic pulmonary edema. Outpatients will most often have HP or connective tissue disease related ILD. Associated findings are helpful for the diagnosis of hydrostatic pulmonary edema and HP.
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- 2014
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28. Expiratory Air Trapping on Thoracic Computed Tomography. A Diagnostic Subclassification
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Michael G. Hewitt, Wallace T. Miller, and Jonathan Alexander Chatzkel
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Pulmonary and Respiratory Medicine ,Chronic bronchitis ,medicine.medical_specialty ,Cystic Fibrosis ,Bronchiolitis obliterans ,Air trapping ,Diagnosis, Differential ,Humans ,Medicine ,Bronchiolitis Obliterans ,Lung ,Retrospective Studies ,Asthma ,Bronchiectasis ,business.industry ,Interstitial lung disease ,Reproducibility of Results ,medicine.disease ,Respiratory Function Tests ,medicine.anatomical_structure ,ROC Curve ,Radiology ,Differential diagnosis ,medicine.symptom ,Tomography, X-Ray Computed ,business - Abstract
Multiple causes for air trapping as identified by expiratory computed tomography (CT) have been reported, but a unified evaluation schema has never been proposed.It was our purpose to identify imaging features that would help distinguish etiologies of mosaic air trapping.Cases with the term "air trapping" in the radiology report in 2010 were identified by searching the Radiology Information System of an academic tertiary care center and associated community hospital. Medical records and CT examinations were reviewed for the causes of air trapping.Causes for moderate to severe air trapping could be identified in 201 of 230 (87.4%) cases and could be subdivided into those associated with bronchiectasis (76 of 201, 38%), those associated with interstitial lung disease (62 of 201, 31%), those associated with tree-in-bud opacities (5 of 201, 2%), and those with air trapping alone (58 of 201, 29%). When found with bronchiectasis, nontuberculous mycobacteria, cystic fibrosis, idiopathic bronchiectasis, and transplant-related bronchiolitis obliterans were the most common causes of air trapping. When found with interstitial lung disease, sarcoidosis, hypersensitivity pneumonitis, or unspecified interstitial lung disease were the most common cause of air trapping. When found in isolation, chronic bronchitis, asthma, bronchiolitis obliterans, and unspecified small airways disease were the most common causes of air trapping. Unusual conditions causing isolated air trapping included vasculitis and diffuse idiopathic neuroendocrine cell hyperplasia.A variety of conditions can cause air trapping. Associated imaging findings can narrow the differential diagnosis.
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- 2014
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29. Causes and Imaging Patterns of Tree-in-Bud Opacities
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Jill S. Panosian and Wallace T. Miller
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Pulmonary and Respiratory Medicine ,Pathology ,medicine.medical_specialty ,Cystic Fibrosis ,Bronchopneumonia ,Disease ,Critical Care and Intensive Care Medicine ,Sensitivity and Specificity ,Cystic fibrosis ,medicine ,Humans ,Respiratory system ,Lung ,Respiratory Tract Infections ,Immunodeficiency ,Retrospective Studies ,Primary ciliary dyskinesia ,Mycobacterium Infections ,Bronchiectasis ,Kartagener Syndrome ,business.industry ,Respiratory Aspiration ,medicine.disease ,Pulmonary Aspergillosis ,Allergic bronchopulmonary aspergillosis ,Tomography, X-Ray Computed ,Cardiology and Cardiovascular Medicine ,business - Abstract
Multiple causes for tree-in-bud (TIB) opacities have been reported. However, to our knowledge the relative frequencies of the causes have not been evaluated. The purpose of this study was to determine the relative frequency of causes of TIB opacities and identify patterns of disease associated with TIB opacities.Cases with TIB opacities in the radiology report in 2010 were identified by searching the Radiology Information System. Medical records and CT scan examinations were reviewed for the causes of TIB opacities. Patterns of disease associated with TIB opacities were evaluated.Causes for TIB opacities were established in 166 of 406 (40.9%) cases. Respiratory infections (119 of 166, 72%) with mycobacteria (65 of 166, 39%), bacteria (44 of 166, 27%), viruses (four of 166, 3%), or multiple organisms (six of 166, 4%) were most common. Aspiration was the cause in 42 of 166 (25%). Alternating areas of normal lung with regions of small airways disease (TIB opacities, bronchiectasis) (random small airways pattern) was specific (0.92) for Mycobacterium avium complex infection. Nearly uniform distribution of bronchiectasis (widespread bronchiectasis pattern) was specific for "diseases predisposing to airway infection" (specificity 0.92), such as cystic fibrosis, primary ciliary dyskinesia, allergic bronchopulmonary aspergillosis, and immunodeficiency states. Consolidation and TIB opacities (bronchopneumonia pattern) were usually due to bacterial infection or aspiration. Dependent distribution (specificity 0.79) and esophageal abnormality (specificity 0.86) with TIB opacities were associated with aspiration. Chronicity of findings was associated with mycobacterial infection (Plt; .0001, sensitivity 0.96). Acuteness of findings was associated with bacterial infection (Plt; .001, specificity 0.87).TIB opacities are most often a manifestation of infections or aspiration. Patterns of disease can provide clues to the most likely diagnosis.
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- 2013
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30. The CT Appearance of Lower Respiratory Infection Due to Parainfluenza Virus in Adults
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Timothy Herbst, Vivianna M. Van Deerlin, and Wallace T. Miller
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Adult ,Male ,Pathology ,medicine.medical_specialty ,Adolescent ,Iohexol ,viruses ,Radiography ,Contrast Media ,Virus ,Parainfluenza virus ,Lower respiratory tract infection ,Humans ,Medicine ,Radiology, Nuclear Medicine and imaging ,Respiratory system ,Respiratory Tract Infections ,Aged ,Retrospective Studies ,Aged, 80 and over ,Paramyxoviridae Infections ,Respiratory tract infections ,Reverse Transcriptase Polymerase Chain Reaction ,business.industry ,General Medicine ,Middle Aged ,medicine.disease ,United States ,Iopamidol ,respiratory tract diseases ,Bronchiolitis ,Bronchitis ,Female ,Tomography, X-Ray Computed ,business - Abstract
We retrospectively reviewed the CT findings of lower respiratory tract infection (LRTI) due to parainfluenza virus (PIV) to determine the imaging features of PIV infection and to identify any differences compared with the CT appearances of LRTIs due to respiratory syncytial virus (RSV), adenovirus, and influenza virus.The imaging features of LRTI from PIV over a 51-month period were retrospectively reviewed. The specific CT findings and overall pattern of infection in patients with LRTI due to PIV were recorded and were then compared with the CT appearances of RSV, adenovirus, and influenza LRTIs using data from a previous study.Twenty-four chest CT examinations of 24 patients with PIV infection were analyzed. Tree-in-bud opacities were the most common finding (13/24, 54%), and the airway-centric pattern of disease--characterized by combinations of bronchial wall thickening, tree-in-bud opacities, and peribronchiolar consolidation (bronchitis, bronchiolitis, and bronchopneumonia)--was the most common pattern (16/24, 67%). In comparison with previous data on RSV, adenovirus, and influenza virus, PIV showed tree-in-bud opacities and airway-centric patterns significantly more often than adenovirus or influenza virus. PIV and RSV showed similar CT findings and patterns of disease.Despite varying CT appearances of PIV LRTI, it most often shows airway-centric disease and is similar to the appearance of RSV infection, both of which are members of the Paramyxoviridae family of viruses.
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- 2013
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31. Pulmonary function tests, interstitial lung disease, and lung function decline in outpatients with classic and clinically amyopathic dermatomyositis
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Victoria P. Werth, Peter A. Merkel, Maryl Kreider, Michael D. George, Wallace T. Miller, and Rupal J. Shah
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Pathology ,medicine.medical_specialty ,Weakness ,Dermatology ,behavioral disciplines and activities ,Article ,Pulmonary function testing ,030207 dermatology & venereal diseases ,03 medical and health sciences ,0302 clinical medicine ,medicine ,In patient ,Prospective cohort study ,Lung function ,030203 arthritis & rheumatology ,business.industry ,Interstitial lung disease ,respiratory system ,Dermatomyositis ,medicine.disease ,respiratory tract diseases ,body regions ,Amyopathic dermatomyositis ,medicine.symptom ,business - Abstract
Interstitial lung disease (ILD) is common among patients with both classic dermatomyositis (DM) and clinically amyopathic dermatomyositis (CADM), patients with classic skin manifestations without weakness. ILD prognosis is thought to be worse in patients with CADM, but this observation may be due primarily to an increased frequency of rapidly-progressive ILD. This article is protected by copyright. All rights reserved.
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- 2016
32. Severe hypoglycaemia in unselected patients with type 1 diabetes: A cross-sectional multicentre survey
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Pramming, S, Pedersen-Bjergaard, U, Heller, SR, Wallace, T, Rasmussen, AK, Jorgensen, HV, Matthews, DR, and Thorsteinsson, B
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- 2016
33. CONCEPTT: Continuous Glucose Monitoring in Women with Type 1 Diabetes in Pregnancy Trial: A multi-center, multi-national, randomized controlled trial - Study protocol
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Feig, D.S., Asztalos, E., Corcoy, R., De Leiva, A., Donovan, L., Hod, M., Jovanovic, L., Keely, E., Kollman, C., McManus, R., Murphy, K., Ruedy, K., Sanchez, J.J., Tomlinson, G., Murphy, H.R., Cleave, B., Donat, D., Gandhi, S., Strom, M., Chico, A.I., José Martínez, M., Sánchez, M., Tundidor, D., Amiel, S., Hunt, K., Green, L., Rogers, H., Rossi, B., Stodhart, B., Bonomo, M., Bertuzzi, F., Corica, G.D., Fazio, S., Giro, R., Mion, E., Moletta, A., Pintaudi, B., Sorrentino, R., Booth, J., McInnes, N., Nykamp, A., Otto, R., Smith, A., Stanton, I., Tazzeo, T., Oldford, C., Young, C., Gougeon, C., Houlden, R., Breen, A., Castorino, K., Sansum, W., Erin, K., Clark, H., Gaudet, L., Karovitch, A., Malcolm, J., Lowe, J., Rogowsky, A., Kudirka, A., Watson, M., Morris, D., Farnworth, F., Fowler, D., Mitchell, S., Rosier, J., Murphy, H., Byrne, C., Davenport, K., Grisoni, J., Mulrennan, S., Neoh, S., O'Sullivan, E., Simmons, D., Stewart, Z., Templin, H., Helen, M., Turner, J., Canciani, G., Hewapathirana, N., Jones, L., Piper, L., Temple, R., and Wallace, T.
- Abstract
© 2016 The Author(s). Background: Women with type 1 diabetes strive for optimal glycemic control before and during pregnancy to avoid adverse obstetric and perinatal outcomes. For most women, optimal glycemic control is challenging to achieve and maintain. The aim of this study is to determine whether the use of real-time continuous glucose monitoring (RT-CGM) will improve glycemic control in women with type 1 diabetes who are pregnant or planning pregnancy. Methods/design: A multi-center, open label, randomized, controlled trial of women with type 1 diabetes who are either planning pregnancy with an HbA1c of 7.0 % to ≤10.0 % (53 to ≤ 86 mmol/mol) or are in early pregnancy (
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- 2016
34. Focal ground-glass opacities in non-small cell lung carcinoma resection patients
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John C. Kucharczuk, Wallace T. Miller, and Chi Wan Koo
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Adult ,Male ,medicine.medical_specialty ,Lung Neoplasms ,Radiography ,Risk Assessment ,Resection ,Young Adult ,Risk Factors ,Carcinoma, Non-Small-Cell Lung ,Prevalence ,medicine ,Carcinoma ,Humans ,Radiology, Nuclear Medicine and imaging ,In patient ,Aged ,Aged, 80 and over ,Lung ,business.industry ,Cancer ,General Medicine ,Middle Aged ,Pennsylvania ,medicine.disease ,Treatment Outcome ,medicine.anatomical_structure ,Adenocarcinoma ,Female ,Radiology ,Non small cell ,Neoplasm Recurrence, Local ,business - Abstract
Purpose To retrospectively determine the frequency, natural progression, radiographic characteristics, and primary cancer cell type of focal ground-glass opacities (GGOs) identified on serial radiographic examinations in patients with prior non-small cell lung carcinoma (NSCLC) resection. Methods One thousand three hundred and seventy-nine CT examinations in 154 patients with NSCLC resection between 1997 and 2008 were reviewed by two radiologists to determine the frequency of postoperative focal GGOs. Percentages, imaging characteristics and primary cancer cell types of GGOs that persisted, resolved, or resected were recorded. For persistent GGOs, growth rate was determined. Results Of 154 patients, 67 (44%) developed 174 GGO during a mean follow-up of 2.7 years (standard deviation 2.23 years, range 1 month to 10 years). Of these 174 opacities, 110 (63%) spontaneously resolved within 6 months. Of the remaining 64 lesions, 5 (3%) were resected and 59 (34%) persisted and demonstrated indolent growth with a median annual growth rate of 2.02 mm. Of the 59 persistent GGOs, 41 (69%) were nodularly shaped, 58 (95%) indistinctly marginated, 17 (29%) with pseudocavitation and 25 (42%) contained solid elements. Adenocarcinoma was the original resected cancer in more than half of these lesions (37 of 59, 63%). Conclusions In individuals who have undergone NSCLC resection, approximately 44% will develop focal GGO on follow-up CT examination. A majority of these GGOs will spontaneously resolve by 6 months after initial identification. As most persistent GGOs are indolent, we propose an initial 6-month interval reimaging once postoperative GGOs are detected followed by subsequent annual surveillance.
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- 2012
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35. Thoracic Manifestations of Klippel-Trenaunay Syndrome
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Mark M. Hammer and Wallace T. Miller
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Adult ,Male ,Pulmonary and Respiratory Medicine ,Klippel-Trenaunay-Weber Syndrome ,medicine.medical_specialty ,Klippel-Trenaunay syndrome ,Computed Tomography Angiography ,Hypertension, Pulmonary ,030218 nuclear medicine & medical imaging ,Muscle hypertrophy ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,In patient ,Aged ,Retrospective Studies ,Hypertrophy, Right Ventricular ,Adult patients ,business.industry ,Retrospective cohort study ,Middle Aged ,medicine.disease ,Aneurysm ,Pulmonary embolism ,030228 respiratory system ,Female ,Radiography, Thoracic ,Chronic thromboembolic pulmonary hypertension ,Radiology ,Pulmonary Embolism ,Tomography, X-Ray Computed ,business ,Congenital disorder - Abstract
Klippel-Trenaunay syndrome (KTS) is a congenital disorder characterized by venous malformations and a predisposition to pulmonary embolism. We reviewed the imaging findings of 7 adult patients with KTS who underwent thoracic CT. While the superficial manifestations of KTS predominantly affect the extremities, patients frequently develop abnormalities of the pulmonary arterial system, particularly chronic thromboembolic pulmonary hypertension. Additionally, some patients are seen to develop pulmonary arteriolar aneurysms; the physiologic significance of this finding is unknown at this time. Radiologists should be aware of these potential findings and have a high index of suspicion for chronic PE in patients with KTS.
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- 2017
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36. CT of Viral Lower Respiratory Tract Infections in Adults: Comparison Among Viral Organisms and Between Viral and Bacterial Infections
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Vivanna M. Van Deerlin, Wallace T. Miller, Kevin T. Shiley, Eduardo J. Mortani Barbosa, Christopher Mullin, and Timothy J. Mickus
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Adult ,Male ,Diagnostic information ,Adolescent ,Iohexol ,viruses ,Contrast Media ,Polymerase Chain Reaction ,Virus ,law.invention ,law ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Respiratory system ,Respiratory Tract Infections ,Polymerase chain reaction ,Aged ,Retrospective Studies ,Aged, 80 and over ,Respiratory tract infections ,business.industry ,Bacterial pneumonia ,Retrospective cohort study ,Bacterial Infections ,General Medicine ,Middle Aged ,medicine.disease ,Virology ,Virus Diseases ,Viral pneumonia ,Immunology ,Tomography, X-Ray Computed ,business - Abstract
We retrospectively compared the CT findings of consecutive viral and bacterial lower respiratory tract infections (LRTIs) to determine their imaging appearance and any definable differences among the causative viruses and between the viral and bacterial infections.Imaging features of LRTI caused by influenza virus, respiratory syncytial virus (RSV), parainfluenza, adenovirus, and bacteria over a 33-month period were reviewed by three radiologists blinded to clinical and diagnostic information. Individual CT features and the dominant pattern of infection were recorded for each examination. Imaging characteristics were compared among the four respiratory viruses and between viral and bacterial infections.One hundred fifteen chest CT scans were analyzed (60 influenza virus, 19 RSV, 10 adenovirus, four parainfluenza virus, and 22 bacterial pneumonia LRTIs). Individual imaging findings and imaging patterns were seen in similar frequencies when we compared viral and bacterial LRTIs, with the exception of the diffuse airspace pattern, which was seen more frequently in bacterial infections. Although there was overlap in the imaging appearance of individual viruses, RSV and adenovirus tended to have characteristic imaging appearances. RSV presented with an airway-centric pattern of disease (13/19 cases [68%]) characterized by varying mixtures of tree-in-bud opacities and bronchial wall thickening, with or without peribronchiolar consolidation. Adenovirus typically appeared as multifocal consolidation or ground-glass opacity without airway inflammatory findings (7/10 cases [70%]).There is considerable overlap in the imaging appearance of viral and bacterial respiratory infections. However, some characteristic differences can be seen, especially with RSV and adenovirus infections.
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- 2011
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37. Differentiation of Pleural Effusions From Parenchymal Opacities: Accuracy of Bedside Chest Radiography
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Andrea N. Parada, Mary T. Kitazono, Pooja Renjen, Wallace T. Miller, and Charles T. Lau
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Adult ,Male ,Thorax ,medicine.medical_specialty ,Adolescent ,Pleural effusion ,Iohexol ,Point-of-Care Systems ,Radiography ,Contrast Media ,Sensitivity and Specificity ,Diagnosis, Differential ,Pleural disease ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Aged ,Retrospective Studies ,Aged, 80 and over ,Lung ,business.industry ,Respiratory disease ,General Medicine ,Middle Aged ,respiratory system ,medicine.disease ,respiratory tract diseases ,Pleural Effusion ,medicine.anatomical_structure ,ROC Curve ,Effusion ,Pleurisy ,Female ,Radiography, Thoracic ,Radiology ,Tomography, X-Ray Computed ,business - Abstract
The purpose of this study was to determine, with CT as the reference standard, the ability of radiologists to detect pleural effusions on bedside chest radiographs.Images of 200 hemithoraces in 100 ICU patients undergoing chest radiography and CT within 24 hours were reviewed. Four readers with varying levels of experience reviewed the chest radiographs and predicted the likelihood of the presence of an effusion or parenchymal opacity on independent 5-point scales. The results were compared with the CT findings.All readers regardless of experience had similar accuracy in detecting pleural effusions. Among 117 pleural effusions, 66% were detected on chest radiographs (53%, 71%, and 92% of small, moderate, and large effusions) with 89% specificity. Similarly, 65% of all parenchymal opacities were detected on chest radiographs, also with 89% specificity. Most (93%) of the misdiagnosed pulmonary opacities were simply not seen. Meniscus, apical cap, lateral band, and subpulmonic opacity were highly specific findings but had low individual sensitivity for effusions. The finding of homogeneous opacity, including both layering and gradient opacities, was the most sensitive sign of effusion. Atelectasis can occasionally mimic the pleural veil sign of effusion, accounting for most false-positive findings.Radiologists interpreting bedside chest radiographs of ICU patients detect large pleural effusions 92% of the time and can exclude large effusions with high confidence. However, small and medium effusions often are misdiagnosed as parenchymal opacities (45%) or are not seen (55%). Pulmonary opacities often are missed (34%) but are rarely misdiagnosed as pleural effusions (7%).
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- 2010
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38. Chest CT Features of Community-acquired Respiratory Viral Infections in Adult Inpatients With Lower Respiratory Tract Infections
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Vivianna M. Van Deerlin, Kevin Shiley, and Wallace T. Miller
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Male ,Pulmonary and Respiratory Medicine ,medicine.medical_specialty ,Iohexol ,Paramyxoviridae Infections ,Contrast Media ,Respiratory Syncytial Virus Infections ,Adenovirus Infections, Human ,Cohort Studies ,Influenza, Human ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Respiratory system ,Bronchitis ,Intensive care medicine ,Lung ,Respiratory Tract Infections ,Retrospective Studies ,Inpatients ,Respiratory tract infections ,business.industry ,Retrospective cohort study ,Length of Stay ,Middle Aged ,medicine.disease ,Community-Acquired Infections ,Radiographic Image Enhancement ,medicine.anatomical_structure ,Virus Diseases ,Bronchiolitis ,Female ,Radiology ,Tomography, X-Ray Computed ,business ,Cohort study - Abstract
The appearance of respiratory virus infection on thoracic computed tomography (CT) has been described only to a limited extent in the current literature, and viral pneumonias may be under-recognized by radiologists. Our objective was to describe thoracic CT findings in a broad range of adult inpatients with respiratory virus infections.A retrospective analysis of chest CTs was performed on symptomatic adult inpatients presenting with positive nucleic acid-based assays for 1 of 4 common community-acquired respiratory viruses. Forty-two patients with viral respiratory tract infections who underwent chest CT imaging were evaluated. The reviewer was blinded to virus type and patient information. CT findings were compared with CT reports produced at the time of the original study and correlated with clinical outcome measures.Influenza (n=21), adenovirus (n=9), respiratory syncytial virus (n=8), and parainfluenza (n=4) were represented among the cohort. Three patterns of the disease were seen with viral infection: (1) limited infection with normal imaging (21%), (2) bronchitis/bronchiolitis characterized by bronchial wall thickening and tree-in bud opacities (31%), and (3) pneumonia characterized by multifocal consolidation or ground-glass opacities (36%). Viral infection was suggested in only 4/42 (10%) of the original radiology reports, all of which had evidence of bronchitis/bronchiolitis on chest CT. Viral pneumonia, characterized by multifocal ground-glass opacities or multifocal consolidations, was interpreted as aspiration pneumonia or bacterial pneumonia in 15/16 (94%) of the original CT reports.CT scans of the inpatients with community-acquired viral infections most commonly show 1 of 2 patterns: consolidation and ground-glass opacities or bronchial wall thickening and tree-in-bud opacities. It is important that physicians interpreting CTs with multifocal consolidations and/or multifocal ground-glass opacities consider viral pneumonia when these findings are observed and recommend appropriate diagnostic testing when clinically warranted.
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- 2010
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39. CT Metrics of Airway Disease and Emphysema in Severe COPD
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James Walter, David Godwin, Joyce Canterbury, Thomas E. Hartman, Yen Pin Chiang, Jeanne Smith, John J. Reilly, Hope Livingston, Abby M. Krichman, Mahasti Rittinger, Karma L. Kreizenbeck, Kymberley Anable, Ameena Al-Amin, Colleen Witt, Karen McVearry, Claude Deschamps, Selim M. Arcasoy, Liz Roessler, James K. Stoller, Yahya M. Berkmen, Paul J. Friedman, Enrique Fernandez, Laura Kotler-Klein, Chris Piker, Robert E. Hyatt, Mark J. Krasna, Priscilla McCreight, Jo Anna Baldwin, Jennifer M Lamb, Francisco Alvarez, Janet R. Maurer, Rodney Simcox, Gerald O'Brien, Iris Moskowitz, Marianne C. Fahs, Judd Gurney, A. Mark Fendrick, Mike Mantinaos, Sanjay Kalra, Robert M. Kaplan, Kevin R. Flaherty, Timothy Gilbert, James K. Garrett, Kathy Mieras, Kapreena Owens, Trina Limberg, Patricia Belt, Rolf D. Hubmayr, Roger Barnette, James Carter, Phillip M. Boiselle, Brian Woodcock, Anne Marie Kuzma, Brian F. Mullan, Dean Follmann, Mary Ellen Kleinhenz, Judith Harle, Ubaldo J. Martin, Bonnie Edwards, Fernando I. Martinez, Sandy Do, Alejandro A. Diaz, F.C. Sciurba, William Russell, David J. Sugarbaker, Theresa Alcorn, Susan Borosh, Patricia McDowell, Carolyn Wheeler, Blake Wood, Edwin K. Silverman, Alan J. Moskowitz, John F. Plankeel, William F. Bria, Susan Clark, Patricia Ward, Scott D. Ramsey, Barry J. Make, David H Kupferberg, Chinh T. Q. Nguyen, Stanley Aukberg, Elisabeth L. George, Steven Piantadosi, Geoffrey McLennan, Carl D. Mottram, Martin Zamora, Marvin Pomerantz, Ella A. Kazerooni, Jennifer Propst, Bessie Kachulis, Carol Fanning, Valentina Yegyan, Kenneth Silver, James P. Kiley, Sabine Duffy, David H. Harpole, Junfeng Guo, Donald C. Oxorn, Andrew L. Ries, Paramjit Gill, Bruce H. Culver, Todd M. Officer, Catherine Wood Larsen, John Hansen-Flaschen, Patrick Ross, Mindi Steiger, Lori Hanson, Rose Butanda, Paul F. Simonelli, Neil W. Brister, Amy Chong, Charles L. White, Eric A. Jensen, Cynthia Raymond, Mark K. Ferguson, Moulay Meziane, Mary Milburn-Barnes, James D. Luketich, Douglas E. Wood, A. John McSweeny, Woo Jin Kim, Kim Stavrolakes, John A. Waldhausen, Gregory L. Aughenbaugh, Chul Kwak, Sara L. Bartling, Joan Osterloh, Larry R. Kaiser, John S. Howe, Michael I. Lewis, Andrew Bowdle, Mark A. Gerhardt, Richard O'Connell, Brian R. Lawlor, Neil R. MacIntyre, David A. Lynch, Milton Joyner, Louie Boitano, James P. Utz, Everett Hood, Paul J. Smith, Joshua O. Benditt, John Apostolakis, Frances L. Brogan, Robert McKenna, Berend Mets, Phyllis Dibbern, Kevin Carney, Joan M. Lacomis, Kevin McCarthy, A. Laurie Shroyer, Mitchell K. O’Shea, Barry Make, Dora Greene, Janice Willey, Catherine Ramirez, Gwendolyn B. Vance, Philip R. Karsell, David DeMets, Angela DiMango, Peter Rising, Erik J. Kraenzler, Michael F. Keresztury, Laurie Ney Silfies, Michael Magliocca, Vivian Knieper, Betsy Ann Bozzarello, Marlene Edgar, Madelina Lorenzon, Deb Andrist, Sophia Chatziioannou, Darryl Atwell, Sally Frese, Ruth Etzioni, Stephen I. Marglin, Maria Shiau, Thomas Schroeder, Vincent J. Carey, Vladmir Formanek, Robert Levine, Cindy Chwalik, David Rittinger, Kenneth Martay, Brett A. Simon, Nancy Kurokawa, Anne L. Fuhlbrigge, Peter J. Julien, Michelle T. Toshima, Sean D. Sullivan, Joanne Deshler, Margaret Wu, Anthony Norris, David A. Lipson, Scott J. Swanson, Diane Lockhart, Omar A. Minai, Joseph l. Reeves-Viets, Raed A. Dweik, Keith S. Naunheim, Angela Delsing, Minnie Ellisor, Jane Whalen-Price, Victor F. Tapson, Leonard Rossoff, Susan M. Peterson, Deborah Nowakowski, David M. Shade, Susanne Snedeker, Susan Craemer, Anne Marie G. Sykes, Jennifer Norten, Manmohan S. Biring, Diane C. Strollo, Beth Elliot, Kedren Williams, Heather Sheaffer, Sheila Shearer, Robert P. Hoffman, Robert Quaife, J. Mendez, Donald A. Mahler, Janice Cook-Granroth, Scott Marlow, Zab Mosenifar, Malcolm M. DeCamp, Paul J. Christensen, Rosetta Jackson, Wissam Chatila, Robert Schilz, Glenda DeMercado, Peter B. O'Donovan, Kimberly Dubose, Robert J. Keenan, Satoshi Furukawa, Theodore Kopp, Gerald T. Ayres, Betty Collison, Stephen J. Swensen, Jennifer Stone-Wynne, Nicole Jenson, Stanley S. Siegelman, Tina Bees, Owen B. Wilson, R. Duane Davis, Pierre A. DeVilliers, Marcia Katz, Carolyn M. Clancy, Eddie L. Hoover, Bryan Benedict, Karen Kirsch, Philip M. Hartigan, Simon C. Body, Mark Stafford-Smith, David A. Zisman, Jeanne M. Hoffman, Fernando J. Martinez, Clarence Weir, Jeffrey D. Edelman, William Stanford, Zab Mohsenifar, Michael P. Donahoe, Michele Donithan, Catherine A. Meldrum, William A. Slivka, Lori Zaremba, Michael W. Smith, Martin D. Abel, Robert B Gerber, Sarah Hooper, Steven M. Scharf, Karen A. Hanson, Katherine P. Grichnik, J. Sanford Schwartz, Margaret L. Snyder, Charles J. Hearn, Joe Chin, Tammy Ojo, Gregory D.N. Pearson, Vera Edmonds, George R. Washko, Christine Young, Jennifer Minkoff-Rau, Ron Daniele, Chun Yip, Gregory L. Foster, Harold I. Palevsky, Joan E. Sexton, Dev Pathak, Pamela Fox, Paul E. Kazanjian, Karen King, Jacqueline Pfeffer, Imran Nizami, Judith Wagner, Catherine Wrona, John H. M. Austin, Karla Conejo-Gonzales, Sharon Bendel, Amir Sharafkhaneh, Carol Geaga, Denise Vilotijevic, Thomas H. Sisson, Steven H. Sheingold, Ryan Colvin, Elaine Baker, Karen Collins, Charles F. Emery, Mark Ginsburg, Abass Alavi, David D. Frankville, Joseph M. Reinhardt, Jan Drake, John M. Travaline, Rafael Espada, Kathy Lautensack, Leslie E. Quint, Jeffrey T. Chapman, Rosemary Lann, Steven M. Berkowitz, Alice L. Sternberg, Thurman Gillespy, Nadia Howlader, Frank J. Papatheofanis, Robert Frantz, Manuel L. Brown, Sarah Shirey, Yvonne Meli, Andra E. Ibrahim, Patricia A. Jellen, Rebecca Crouch, Warren B. Gefter, Michael J. Reardon, Jonathan B. Orens, Neal S. Kleiman, Marilyn L. Moy, Daniel L. Miller, Julie Fuller, Reuben M. Cherniack, Claudette Sikora, Lynn Bosco, Harry Handelsman, R. Edward Coleman, Judith M. Aronchick, James Tonascia, Delmar J. Gillespie, Patricia Berkoski, David P. Kapelanski, Cesar A. Keller, Amanda L. Blackford, Charles C. Miller, Kelly M. Campbell, Jill Meinert, Carl R. Fuhrman, Gordon R. Bernard, Connie Hudson, Roger Russell, Lewis Poole, Dale Williams, Magdy Younes, Shing Lee, Steven L. Sax, Martin Carlos, Diane C. Saunders, John Dodge, Matthew N. Bartels, Amy Jahn, Karen Taylor, Gregg L Ruppel, Wallace T. Miller, Mary Gilmartin, Tanisha Carino, Alfred P. Fishman, Gerene Bauldoff, Frank C. Sciurba, Gerard J. Criner, John Haddad, Mark D. Iannettoni, Terri Durr, Gordon F. Harms, Susan Golden, Norman E. Torres, Lisa Geyman, Alan Hibbit, Paul Rysso, Gilbert E. D'Alonzo, Henry E. Fessler, Mark L. Van Natta, Peter Wahl, James H. Harrell, Willard Chamberlain, Roger D. Yusen, Boleyn Hammel, Dawn E. Sassi-Dambron, Mark S. Allen, Jennifer Cutler, Shangqian Qi, Susan Rinaldo-Gallo, John D. Newell, June Hart, Raúl San José Estépar, Kerri McKeon, Staci Opelman, Eric S. Edell, Kathy Winner, Joe R. Rodarte, Mark A. King, Eric A. Hoffman, Laura A. Wilson, Phil Cagle, Jennifer Meyers, Kristin Berry, Mark P. Steele, Katherine Hale, Peter Barnard, Charles Soltoff, Melissa Weeks, Arfa Khan, Cary Stolar, Jeanine P. Wiener-Kronish, Jeannie Ricketts, Nancy Battaglia, Francine L. Jacobson, Satish G. Jhingran, Robert B. Teague, Mary Louise Dempsey, Leighton Chan, Philip T. Diaz, David Hicks, David E. Midthun, Charlene Levine, Andetta R. Hunsaker, Tomeka Simon, Jered Sieren, Susan Lubell, Scott A. Schartel, H P McAdams, Francis Cordova, Kris Bradt, Jeffery J. Johnson, Kenneth White, Mercedes True, Erin A. Sullivan, Byron Thomashow, Gail Weinmann, Robert A. Wise, Donna Tsang, Robert M. Kotloff, Atul C. Mehta, Gregory Tino, and Angela Wurster
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Adult ,Male ,Pulmonary and Respiratory Medicine ,medicine.medical_specialty ,Pathology ,Critical Care and Intensive Care Medicine ,Risk Assessment ,Sensitivity and Specificity ,Severity of Illness Index ,Cohort Studies ,Pulmonary Disease, Chronic Obstructive ,Predictive Value of Tests ,Forced Expiratory Volume ,Internal medicine ,medicine ,Humans ,Lung volumes ,Respiratory system ,Aged ,Probability ,Original Research ,Analysis of Variance ,Univariate analysis ,COPD ,business.industry ,Total Lung Capacity ,Respiratory disease ,Middle Aged ,respiratory system ,Airway obstruction ,medicine.disease ,Respiratory Function Tests ,respiratory tract diseases ,Airway Obstruction ,Dyspnea ,medicine.anatomical_structure ,Pulmonary Emphysema ,Multivariate Analysis ,Cardiology ,Female ,Pulmonary Ventilation ,Tomography, X-Ray Computed ,Cardiology and Cardiovascular Medicine ,business ,Airway ,Respiratory tract - Abstract
Background CT scan measures of emphysema and airway disease have been correlated with lung function in cohorts of subjects with a range of COPD severity. The contribution of CT scan-assessed airway disease to objective measures of lung function and respiratory symptoms such as dyspnea in severe emphysema is less clear. Methods Using data from 338 subjects in the National Emphysema Treatment Trial (NETT) Genetics Ancillary Study, densitometric measures of emphysema using a threshold of −950 Hounsfield units (%LAA-950) and airway wall phenotypes of the wall thickness (WT) and the square root of wall area (SRWA) of a 10-mm luminal perimeter airway were calculated for each subject. Linear regression analysis was performed for outcome variables FEV 1 and percent predicted value of FEV 1 with CT scan measures of emphysema and airway disease. Results In univariate analysis, there were significant negative correlations between %LAA-950 and both the WT ( r = −0.28, p = 0.0001) and SRWA ( r = −0.19, p = 0.0008). Airway wall thickness was weakly but significantly correlated with postbronchodilator FEV 1 % predicted (R = −0.12, p = 0.02). Multivariate analysis showed significant associations between either WT or SRWA (β = −5.2, p = 0.009; β = −2.6, p = 0.008, respectively) and %LAA-950 (β = −10.6, p = 0.03) with the postbronchodilator FEV 1 % predicted. Male subjects exhibited significantly thicker airway wall phenotypes (p = 0.007 for WT and p = 0.0006 for SRWA). Conclusions Airway disease and emphysema detected by CT scanning are inversely related in patients with severe COPD. Airway wall phenotypes were influenced by gender and associated with lung function in subjects with severe emphysema.
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- 2009
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40. Population-based cohort study of outcomes following cholecystectomy for benign gallbladder diseases
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Vohra, RS, Pasquali, S, Kirkham, AJ, Marriott, P, Johnstone, M, Spreadborough, P, Alderson, D, Griffiths, EA, Fenwick, S, Elmasry, M, Nunes, Q, Kennedy, D, Khan, RB, Khan, MAS, Magee, CJ, Jones, SM, Mason, D, Parappally, CP, Mathur, P, Saunders, M, Jamel, S, Ul Haque, S, Zafar, S, Shiwani, MH, Samuel, N, Dar, F, Jackson, A, Lovett, B, Dindyal, S, Winter, H, Fletcher, T, Rahman, S, Wheatley, K, Nieto, T, Ayaani, S, Youssef, H, Nijjar, RS, Watkin, H, Naumann, D, Emeshi, S, Sarmah, PB, Lee, K, Joji, N, Heath, J, Teasdale, RL, Weerasinghe, C, Needham, PJ, Welbourn, H, Forster, L, Finch, D, Blazeby, JM, Robb, W, McNair, AGK, Hrycaiczuk, A, Kadirkamanathan, S, Tang, C-B, Jayanthi, NVG, Noor, N, Dobbins, B, Cockbain, AJ, Nilsen-Nunn, A, de Siqueira, J, Pellen, M, Cowley, JB, Ho, W-M, Miu, V, White, TJ, Hodgkins, KA, Kinghorn, A, Tutton, MG, Al-Abed, YA, Menzies, D, Ahmad, A, Reed, J, Khan, S, Monk, D, Vitone, LJ, Murtaza, G, Joel, A, Brennan, S, Shier, D, Zhang, C, Yoganathan, T, Robinson, SJ, McCallum, IJD, Jones, MJ, Elsayed, M, Tuck, L, Wayman, J, Carney, K, Aroori, S, Hosie, KB, Kimble, A, Bunting, DM, Fawole, AS, Basheer, M, Dave, RV, Sarveswaran, J, Jones, E, Kendal, C, Tilston, MP, Gough, M, Wallace, T, Singh, S, Downing, J, Mockford, KA, Issa, E, Shah, N, Chauhan, N, Wilson, TR, Forouzanfar, A, Wild, JRL, Nofal, E, Bunnell, C, Madbak, K, Rao, STV, Devoto, L, Siddiqi, N, Khawaja, Z, Hewes, JC, Gould, L, Chambers, A, Rodriguez, DU, Sen, G, Robinson, S, Bartlett, F, Rae, DM, Stevenson, TEJ, Sarvananthan, K, Dwerryhouse, SJ, Higgs, SM, Old, OJ, Hardy, TJ, Shah, R, Hornby, ST, Keogh, K, Frank, L, Al-Akash, M, Upchurch, EA, Frame, RJ, Hughes, M, Jelley, C, Weaver, S, Roy, S, Sillo, TO, Galanopoulos, G, Cuming, T, Cunha, P, Tayeh, S, Kaptanis, S, Heshaishi, M, Eisawi, A, Abayomi, M, Ngu, WS, Fleming, K, Bajwa, DS, Chitre, V, Aryal, K, Ferris, P, Silva, M, Lammy, S, Mohamed, S, Khawaja, A, Hussain, A, Ghazanfar, MA, Bellini, MI, Ebdewi, H, Elshaer, M, Gravante, G, Drake, B, Ogedegbe, A, Mukherjee, D, Arhi, C, Iqbal, LGN, Watson, NF, Aggarwal, SK, Orchard, P, Villatoro, E, Willson, PD, Wa, K, Mok, J, Woodman, T, Deguara, J, Garcea, G, Babu, BI, Dennison, AR, Malde, D, Lloyd, D, Satheesan, S, Al-Taan, O, Boddy, A, Slavin, JP, Jones, RP, Ballance, L, Gerakopoulos, S, Jambulingam, P, Mansour, S, Sakai, N, Acharya, V, Sadat, MM, Karim, L, Larkin, D, Amin, K, Khan, A, Law, J, Jamdar, S, Smith, SR, Sampat, K, O'Shea, KM, Manu, M, Asprou, FM, Malik, NS, Chang, J, Lewis, M, Roberts, GP, Karavadra, B, Photi, E, Hewes, J, Rodriguez, D, O'Reilly, DA, Rate, AJ, Sekhar, H, Henderson, LT, Starmer, BZ, Coe, PO, Tolofari, S, Barrie, J, Bashir, G, Sloane, J, Madanipour, S, Halkias, C, Trevatt, AEJ, Borowski, DW, Hornsby, J, Courtney, MJ, Seymour, K, Hawkins, H, Bawa, S, Gallagher, PV, Reid, A, Wood, P, Finch, JG, Parmar, J, Stirland, E, Gardner-Thorpe, J, Al-Muhktar, A, Peterson, M, Majeed, A, Bajwa, FM, Martin, J, Choy, A, Tsang, A, Pore, N, Andrew, DR, Al-Khyatt, W, Taylor, C, Bhandari, S, Subramanium, D, Toh, SKC, Carter, NC, Mercer, SJ, Knight, B, Tate, S, Pearce, B, Wainwright, D, Vijay, V, Alagaratnam, S, Sinha, S, El-Hasani, SS, Hussain, AA, Bhattacharya, V, Kansal, N, Fasih, T, Jackson, C, Siddiqui, MN, Chishti, IA, Fordham, IJ, Siddiqui, Z, Bausbacher, H, Geogloma, I, Gurung, K, Tsavellas, G, Basynat, P, Shrestha, AK, Basu, S, Harilingam, ACM, Rabie, M, Akhtar, M, Kumar, P, Jafferbhoy, SF, Hussain, N, Raza, S, Haque, M, Alam, I, Aseem, R, Patel, S, Asad, M, Booth, MI, Ball, WR, Wood, CPJ, Pinho-Gomes, AC, Kausar, A, Obeidallah, MR, Varghase, J, Lodhia, J, Bradley, D, Rengifo, C, Lindsay, D, Gopalswamy, S, Finlay, I, Wardle, S, Bullen, N, Iftikhar, SY, Awan, A, Ahmed, J, Leeder, P, Fusai, G, Bond-Smith, G, Psica, A, Puri, Y, Hou, D, Noble, F, Szentpali, K, Broadhurst, J, Date, R, Hossack, MR, Goh, YL, Turner, P, Shetty, V, Riera, M, Macano, CAW, Sukha, A, Preston, SR, Hoban, JR, Puntis, DJ, Williams, SV, Krysztopik, R, Kynaston, J, Batt, J, Doe, M, Goscimski, A, Jones, GH, Hall, C, Carty, N, Panteleimonitis, S, Gunasekera, RT, Sheel, ARG, Lennon, H, Hindley, C, Reddy, M, Kenny, R, Elkheir, N, McGlone, ER, Rajaganeshan, R, Hancorn, K, Hargreaves, A, Prasad, R, Longbotham, DA, Vijayanand, D, Wijetunga, I, Ziprin, P, Nicolay, CR, Yeldham, G, Read, E, Gossage, JA, Rolph, RC, Ebied, H, Phull, M, Khan, MA, Popplewell, M, Kyriakidis, D, Henley, N, Packer, JR, Derbyshire, L, Porter, J, Appleton, S, Farouk, M, Basra, M, Jennings, NA, Ali, S, Kanakala, V, Ali, H, Lane, R, Dickson-Lowe, R, Zarsadias, P, Mirza, D, Puig, S, Al Amari, K, Vijayan, D, Sutcliffe, R, Marudanayagam, R, Hamady, Z, Prasad, AR, Patel, A, Durkin, D, Kaur, P, Bowen, L, Byrne, JP, Pearson, KL, Delisle, TG, Davies, J, Tomlinson, MA, Johnpulle, MA, Slawinski, C, Macdonald, A, Nicholson, J, Newton, K, Mbuvi, J, Farooq, A, Mothe, BS, Zafrani, Z, Brett, D, Francombe, J, Barnes, J, Cheung, M, Al-Bahrani, AZ, Preziosi, G, Urbonas, T, Alberts, J, Mallik, M, Patel, K, Segaran, A, Doulias, T, Sufi, PA, Yao, C, Pollock, S, Manzelli, A, Wajed, S, Kourkulos, M, Pezzuto, R, Wadley, M, Hamilton, E, Jaunoo, S, Padwick, R, Sayegh, M, Newton, RC, Hebbar, M, Farag, SF, Spearman, J, Hamdan, MF, D'Costa, C, Blane, C, Giles, M, Peter, MB, Hirst, NA, Hossain, T, Pannu, A, El-Dhuwaib, Y, Morrison, TEM, Taylor, GW, Thompson, RLE, McCune, K, Loughlin, P, Lawther, R, Byrnes, CK, Simpson, DJ, Mawhinney, A, Warren, C, Mckay, D, McIlmunn, C, Martin, S, MacArtney, M, Diamond, T, Davey, P, Jones, C, Clements, JM, Digney, R, Chan, WM, McCain, S, Gull, S, Janeczko, A, Dorrian, E, Harris, A, Dawson, S, Johnston, D, McAree, B, Ghareeb, E, Thomas, G, Connelly, M, McKenzie, S, Cieplucha, K, Spence, G, Campbell, W, Hooks, G, Bradley, N, Hill, ADK, Cassidy, JT, Boland, M, Burke, P, Nally, DM, Khogali, E, Shabo, W, Iskandar, E, McEntee, GP, O'Neill, MA, Peirce, C, Lyons, EM, O'Sullivan, AW, Thakkar, R, Carroll, P, Ivanovski, I, Balfe, P, Lee, M, Winter, DC, Kelly, ME, Hoti, E, Maguire, D, Karunakaran, P, Geoghegan, JG, Martin, ST, McDermott, F, Cross, KS, Cooke, F, Zeeshan, S, Murphy, JO, Mealy, K, Mohan, HM, Nedujchelyn, Y, Ullah, MF, Ahmed, I, Giovinazzo, F, Milburn, J, Prince, S, Brooke, E, Buchan, J, Khalil, AM, Vaughan, EM, Ramage, MI, Aldridge, RC, Gibson, S, Nicholson, GA, Vass, DG, Grant, AJ, Holroyd, DJ, Jones, MA, Sutton, CMLR, O'Dwyer, P, Nilsson, F, Weber, B, Williamson, TK, Lalla, K, Bryant, A, Carter, CR, Forrest, CR, Hunter, DI, Nassar, AH, Orizu, MN, Knight, K, Qandeel, H, Suttie, S, Belding, R, McClarey, A, Boyd, AT, Guthrie, GJK, Lim, PJ, Luhmann, A, Watson, AJM, Richards, CH, Nicol, L, Madurska, M, Harrison, E, Boyce, KM, Roebuck, A, Ferguson, G, Pati, P, Wilson, MSJ, Dalgaty, F, Fothergill, L, Driscoll, PJ, Mozolowski, KL, Banwell, V, Bennett, SP, Rogers, PN, Skelly, BL, Rutherford, CL, Mirza, AK, Lazim, T, Lim, HCC, Duke, D, Ahmed, T, Beasley, WD, Wilkinson, MD, Maharaj, G, Malcolm, C, Brown, TH, Shingler, GM, Mowbray, N, Radwan, R, Morcous, P, Wood, S, Kadhim, A, Stewart, DJ, Baker, AL, Tanner, N, Shenoy, H, Hafiz, S, De Marchi, JA, Singh-Ranger, D, Hisham, E, Ainley, P, O'Neill, S, Terrace, J, Napetti, S, Hopwood, B, Rhys, T, Kanavati, O, Coats, M, Aleksandrov, D, Kallaway, C, Yahya, S, Templeton, A, Trotter, M, Lo, C, Dhillon, A, Heywood, N, Aawsaj, Y, Hamdan, A, Reece-Bolton, O, McGuigan, A, Shahin, Y, Ali, A, Luther, A, Nicholson, JA, Rajendran, I, Boal, M, Ritchie, J, Grp, CS, and Collaborative, WMR
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Male ,medicine.medical_treatment ,030230 surgery ,outcomes ,0302 clinical medicine ,Postoperative Complications ,80 and over ,Prospective Studies ,Prospective cohort study ,Aged, 80 and over ,education.field_of_study ,Middle Aged ,Conversion to Open Surgery ,medicine.anatomical_structure ,Treatment Outcome ,Cholecystectomy, Laparoscopic ,Centre for Surgical Research ,Elective Surgical Procedures ,030220 oncology & carcinogenesis ,Cohort ,Female ,Elective Surgical Procedure ,Adult ,medicine.medical_specialty ,Population ,Gallbladder disease ,Gallbladder Diseases ,Aged ,Ambulatory Surgical Procedures ,Cholecystectomy ,Emergency Treatment ,Humans ,Ireland ,Patient Readmission ,Time-to-Treatment ,United Kingdom ,Surgery ,benign disease ,03 medical and health sciences ,Laparoscopic ,medicine ,education ,business.industry ,General surgery ,Gallbladder ,medicine.disease ,business ,Complication - Abstract
Background The aim was to describe the management of benign gallbladder disease and identify characteristics associated with all-cause 30-day readmissions and complications in a prospective population-based cohort. Methods Data were collected on consecutive patients undergoing cholecystectomy in acute UK and Irish hospitals between 1 March and 1 May 2014. Potential explanatory variables influencing all-cause 30-day readmissions and complications were analysed by means of multilevel, multivariable logistic regression modelling using a two-level hierarchical structure with patients (level 1) nested within hospitals (level 2). Results Data were collected on 8909 patients undergoing cholecystectomy from 167 hospitals. Some 1451 cholecystectomies (16·3 per cent) were performed as an emergency, 4165 (46·8 per cent) as elective operations, and 3293 patients (37·0 per cent) had had at least one previous emergency admission, but had surgery on a delayed basis. The readmission and complication rates at 30 days were 7·1 per cent (633 of 8909) and 10·8 per cent (962 of 8909) respectively. Both readmissions and complications were independently associated with increasing ASA fitness grade, duration of surgery, and increasing numbers of emergency admissions with gallbladder disease before cholecystectomy. No identifiable hospital characteristics were linked to readmissions and complications. Conclusion Readmissions and complications following cholecystectomy are common and associated with patient and disease characteristics.
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- 2016
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41. Population-based cohort study of variation in the use of emergency cholecystectomy for benign gallbladder diseases
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Vohra, R. S., Pasquali, S., Kirkham, A. J., Marriott, P., Johnstone, M., Spreadborough, P., Alderson, D., Griffiths, E. A., Fenwick, S., Elmasry, M., Nunes, Q., Kennedy, D., Basit Khan, R., Khan, M. A. S., Magee, C. J., Jones, S. M., Mason, D., Parappally, C. P., Mathur, P., Saunders, M., Jamel, S., Ul Haque, S., Zafar, S., Shiwani, M. H., Samuel, N., Dar, F., Jackson, A., Lovett, B., Dindyal, S., Winter, H., Fletcher, T., Rahman, S., Wheatley, K., Nieto, T., Ayaani, S., Youssef, H., Nijjar, R. S., Watkin, H., Naumann, D., Emeshi, S., Sarmah, P. B., Lee, K., Joji, N., Heath, J., Teasdale, R. L., Weerasinghe, C., Needham, P. J., Welbourn, H., Forster, L., Finch, D., Blazeby, J. M., Robb, W., Mcnair, A. G. K., Hrycaiczuk, A., Charalabopoulos, A., Kadirkamanathan, S., Tang, C. -B., Jayanthi, N. V. G., Noor, N., Dobbins, B., Cockbain, A. J., Nilsen-Nunn, A., de Siqueira, J., Pellen, M., Cowley, J. B., W. -M., Ho, Miu, V., White, T. J., Hodgkins, K. A., Kinghorn, A., Tutton, M. G., Al-Abed, Y. A., Menzies, D., Ahmad, A., Reed, J., Khan, S., Monk, D., Vitone, L. J., Murtaza, G., Joel, A., Brennan, S., Shier, D., Zhang, C., Yoganathan, T., Robinson, S. J., Mccallum, I. J. D., Jones, M. J., Elsayed, M., Tuck, L., Wayman, J., Carney, K., Aroori, S., Hosie, K. B., Kimble, A., Bunting, D. M., Fawole, A. S., Basheer, M., Dave, R. V., Sarveswaran, J., Jones, E., Kendal, C., Tilston, M. P., Gough, M., Wallace, T., Singh, S., Downing, J., Mockford, K. A., Issa, E., Shah, N., Chauhan, N., Wilson, T. R., Forouzanfar, A., Wild, J. R. L., Nofal, E., Bunnell, C., Madbak, K., Rao, S. T. V., Devoto, L., Siddiqi, N., Khawaja, Z., Hewes, J. C., Gould, L., Chambers, A., Urriza Rodriguez, D., Sen, G., Robinson, S., Bartlett, F., Rae, D. M., Stevenson, T. E. J., Sarvananthan, K., Dwerryhouse, S. J., Higgs, S. M., Old, O. J., Hardy, T. J., Shah, R., Hornby, S. T., Keogh, K., Frank, L., Al-Akash, M., Upchurch, E. A., Frame, R. J., Hughes, M., Jelley, C., Weaver, S., Roy, S., Sillo, T. O., Galanopoulos, G., Cuming, T., Cunha, P., Tayeh, S., Kaptanis, S., Heshaishi, M., Eisawi, A., Abayomi, M., Ngu, W. S., Fleming, K., Singh Bajwa, D., Chitre, V., Aryal, K., Ferris, P., Silva, M., Lammy, S., Mohamed, S., Khawaja, A., Hussain, A., Ghazanfar, M. A., Bellini, M. I., Ebdewi, H., Elshaer, M., Gravante, G., Drake, B., Ogedegbe, A., Mukherjee, D., Arhi, C., Giwa Nusrat Iqbal, L., Watson, N. F., Kumar Aggarwal, S., Orchard, P., Villatoro, E., Willson, P. D., Wa, K., Mok, J., Woodman, T., Deguara, J., Garcea, G., Babu, B. I., Dennison, A. R., Malde, D., Lloyd, D., Satheesan, S., Al-Taan, O., Boddy, A., Slavin, J. P., Jones, R. P., Ballance, L., Gerakopoulos, S., Jambulingam, P., Mansour, S., Sakai, N., Acharya, V., Sadat, M. M., Karim, L., Larkin, D., Amin, K., Khan, A., Law, J., Jamdar, S., Smith, S. R., Sampat, K., M O'shea, K., Manu, M., Asprou, F. M., Malik, N. S., Chang, J., Lewis, M., Roberts, G. P., Karavadra, B., Photi, E., Hewes, J., Rodriguez, D., O'Reilly, D. A., Rate, A. J., Sekhar, H., Henderson, L. T., Starmer, B. Z., Coe, P. O., Tolofari, S., Barrie, J., Bashir, G., Sloane, J., Madanipour, S., Halkias, C., Trevatt, A. E. J., Borowski, D. W., Hornsby, J., Courtney, M. J., Virupaksha, S., Seymour, K., Hawkins, H., Bawa, S., Gallagher, P. V., Reid, A., Wood, P., Finch, J. G., Parmar, J., Stirland, E., Gardner-Thorpe, J., Al-Muhktar, A., Peterson, M., Majeed, A., Bajwa, F. M., Martin, J., Choy, A., Tsang, A., Pore, N., Andrew, D. R., Al-Khyatt, W., Taylor, C., Bhandari, S., Subramanium, D., Toh, S. K. C., Carter, N. C., Mercer, S. J., Knight, B., Tate, S., Pearce, B., Wainwright, D., Vijay, V., Alagaratnam, S., Sinha, S., El-Hasani, S. S., Hussain, A. A., Bhattacharya, V., Kansal, N., Fasih, T., Jackson, C., Siddiqui, M. N., Chishti, I. A., Fordham, I. J., Siddiqui, Z., Bausbacher, H., Geogloma, I., Gurung, K., Tsavellas, G., Basynat, P., Kiran Shrestha, A., Basu, S., Chhabra Mohan Harilingam, A., Rabie, M., Akhtar, M., Kumar, P., Jafferbhoy, S. F., Hussain, N., Raza, S., Haque, M., Alam, I., Aseem, R., Patel, S., Asad, M., Booth, M. I., Ball, W. R., Wood, C. P. J., Pinho-Gomes, A. C., Kausar, A., Rami Obeidallah, M., Varghase, J., Lodhia, J., Bradley, D., Rengifo, C., Lindsay, D., Gopalswamy, S., Finlay, I., Wardle, S., Bullen, N., Iftikhar, S. Y., Awan, A., Ahmed, J., Leeder, P., Fusai, G., Bond-Smith, G., Psica, A., Puri, Y., Hou, D., Noble, F., Szentpali, K., Broadhurst, J., Date, R., Hossack, M. R., Li Goh, Y., Turner, P., Shetty, V., Riera, M., Macano, C. A. W., Sukha, A., Preston, S. R., Hoban, J. R., Puntis, D. J., Williams, S. V., Krysztopik, R., Kynaston, J., Batt, J., Doe, M., Goscimski, A., Jones, G. H., Hall, C., Carty, N., Panteleimonitis, S., Gunasekera, R. T., Sheel, A. R. G., Lennon, H., Hindley, C., Reddy, M., Kenny, R., Elkheir, N., Mcglone, E. R., Rajaganeshan, R., Hancorn, K., Hargreaves, A., Prasad, R., Longbotham, D. A., Vijayanand, D., Wijetunga, I., Ziprin, P., Nicolay, C. R., Yeldham, G., Read, E., Gossage, J. A., Rolph, R. C., Ebied, H., Phull, M., Khan, M. A., Popplewell, M., Kyriakidis, D., Henley, N., Packer, J. R., Derbyshire, L., Porter, J., Appleton, S., Farouk, M., Basra, M., Jennings, N. A., Ali, S., Kanakala, V., Ali, H., Lane, R., Dickson-Lowe, R., Zarsadias, P., Mirza, D., Puig, S., Al Amari, K., Vijayan, D., Sutcliffe, R., Marudanayagam, R., Hamady, Z., Prasad, A. R., Patel, A., Durkin, D., Kaur, P., Bowen, L., Byrne, J. P., Pearson, K. L., Delisle, T. G., Davies, J., Tomlinson, M. A., Johnpulle, M. A., Slawinski, C., Macdonald, A., Nicholson, J., Newton, K., Mbuvi, J., Farooq, A., Sidhartha Mothe, B., Zafrani, Z., Brett, D., Francombe, J., Barnes, J., Cheung, M., Al-Bahrani, A. Z., Preziosi, G., Urbonas, T., Alberts, J., Mallik, M., Patel, K., Segaran, A., Doulias, T., Sufi, P. A., Yao, C., Pollock, S., Manzelli, A., Wajed, S., Kourkulos, M., Pezzuto, R., Wadley, M., Hamilton, E., Jaunoo, S., Padwick, R., Sayegh, M., Newton, R. C., Hebbar, M., Farag, S. F., Spearman, J., Hamdan, M. F., D'Costa, C., Blane, C., Giles, M., Peter, M. B., Hirst, N. A., Hossain, T., Pannu, A., El-Dhuwaib, Y., Morrison, T. E. M., Taylor, G. W., Thompson, R. L. E., Mccune, K., Loughlin, P., Lawther, R., Byrnes, C. K., Simpson, D. J., Mawhinney, A., Warren, C., Mckay, D., Mcilmunn, C., Martin, S., Macartney, M., Diamond, T., Davey, P., Jones, C., Clements, J. M., Digney, R., Chan, W. M., Mccain, S., Gull, S., Janeczko, A., Dorrian, E., Harris, A., Dawson, S., Johnston, D., Mcaree, B., Ghareeb, E., Thomas, G., Connelly, M., Mckenzie, S., Cieplucha, K., Spence, G., Campbell, W., Hooks, G., Bradley, N., Hill, A. D. K., Cassidy, J. T., Boland, M., Burke, P., Nally, D. M., Khogali, E., Shabo, W., Iskandar, E., Mcentee, G. P., O'Neill, M. A., Peirce, C., Lyons, E. M., O'Sullivan, A. W., Thakkar, R., Carroll, P., Ivanovski, I., Balfe, P., Lee, M., Winter, D. C., Kelly, M. E., Hoti, E., Maguire, D., Karunakaran, P., Geoghegan, J. G., Martin, S. T., Mcdermott, F., Cross, K. S., Cooke, F., Zeeshan, S., Murphy, J. O., Mealy, K., Mohan, H. M., Nedujchelyn, Y., Fahad Ullah, M., Ahmed, I., Giovinazzo, F., Milburn, J., Prince, S., Brooke, E., Buchan, J., Khalil, A. M., Vaughan, E. M., Ramage, M. I., Aldridge, R. C., Gibson, S., Nicholson, G. A., Vass, D. G., Grant, A. J., Holroyd, D. J., Jones, M. A., Sutton, C. M. L. R., O'Dwyer, P., Nilsson, F., Weber, B., Williamson, T. K., Lalla, K., Bryant, A., Carter, C. R., Forrest, C. R., Hunter, D. I., Nassar, A. H., Orizu, M. N., Knight, K., Qandeel, H., Suttie, S., Belding, R., Mcclarey, A., Boyd, A. T., Guthrie, G. J. K., Lim, P. J., Luhmann, A., Watson, A. J. M., Richards, C. H., Nicol, L., Madurska, M., Harrison, E., Boyce, K. M., Roebuck, A., Ferguson, G., Pati, P., Wilson, M. S. J., Dalgaty, F., Fothergill, L., Driscoll, P. J., Mozolowski, K. L., Banwell, V., Bennett, S. P., Rogers, P. N., Skelly, B. L., Rutherford, C. L., Mirza, A. K., Lazim, T., Lim, H. C. C., Duke, D., Ahmed, T., Beasley, W. D., Wilkinson, M. D., Maharaj, G., Malcolm, C., Brown, T. H., Shingler, G. M., Mowbray, N., Radwan, R., Morcous, P., Wood, S., Kadhim, A., Stewart, D. J., Baker, A. L., Tanner, N., Shenoy, H., Hafiz, S., De Marchi, J. A., Singh-Ranger, D., Hisham, E., Ainley, P., O'Neill, S., Terrace, J., Napetti, S., Hopwood, B., Rhys, T., Kanavati, O., Coats, M., Aleksandrov, D., Kallaway, C., Yahya, S., Templeton, A., Trotter, M., Lo, C., Dhillon, A., Heywood, N., Aawsaj, Y., Hamdan, A., Reece-Bolton, O., Mcguigan, A., Shahin, Y., Ali, A., Luther, A., Nicholson, J. A., Rajendran, I., Boal, M., and Ritchie, J.
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Adult ,Male ,medicine.medical_specialty ,medicine.medical_treatment ,Gallbladder disease ,Population ,Gallbladder Diseases ,030230 surgery ,Biliary colic ,Time-to-Treatment ,03 medical and health sciences ,0302 clinical medicine ,Emergency cholecystectomy ,benign gallbladder disease ,hospital care ,80 and over ,Medicine ,Humans ,Cholecystectomy ,Prospective Studies ,Prospective cohort study ,education ,Emergency Treatment ,Aged ,Aged, 80 and over ,education.field_of_study ,Endoscopic retrograde cholangiopancreatography ,medicine.diagnostic_test ,business.industry ,General surgery ,Gallbladder ,Middle Aged ,medicine.disease ,Hospitals ,United Kingdom ,Hospitalization ,medicine.anatomical_structure ,Centre for Surgical Research ,030220 oncology & carcinogenesis ,Female ,Ireland ,Surgery ,medicine.symptom ,business ,Cohort study - Abstract
Background The aims of this prospective population-based cohort study were to identify the patient and hospital characteristics associated with emergency cholecystectomy, and the influences of these in determining variations between hospitals. Methods Data were collected for consecutive patients undergoing cholecystectomy in acute UK and Irish hospitals between 1 March and 1 May 2014. Potential explanatory variables influencing the performance of emergency cholecystectomy were analysed by means of multilevel, multivariable logistic regression modelling using a two-level hierarchical structure with patients (level 1) nested within hospitals (level 2). Results Data were collected on 4744 cholecystectomies from 165 hospitals. Increasing age, lower ASA fitness grade, biliary colic, the need for further imaging (magnetic retrograde cholangiopancreatography), endoscopic interventions (endoscopic retrograde cholangiopancreatography) and admission to a non-biliary centre significantly reduced the likelihood of an emergency cholecystectomy being performed. The multilevel model was used to calculate the probability of receiving an emergency cholecystectomy for a woman aged 40 years or over with an ASA grade of I or II and a BMI of at least 25·0 kg/m2, who presented with acute cholecystitis with an ultrasound scan showing a thick-walled gallbladder and a normal common bile duct. The mean predicted probability of receiving an emergency cholecystectomy was 0·52 (95 per cent c.i. 0·45 to 0·57). The predicted probabilities ranged from 0·02 to 0·95 across the 165 hospitals, demonstrating significant variation between hospitals. Conclusion Patients with similar characteristics presenting to different hospitals with acute gallbladder pathology do not receive comparable care.
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- 2016
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42. Use of a genetic algorithm to assess relative motion in highly elliptic orbits
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Wallace T. Fowler and Carrie D. Olsen
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Curvilinear coordinates ,Space and Planetary Science ,Control theory ,Coordinate system ,Genetic algorithm ,Range (statistics) ,Rendezvous ,Aerospace Engineering ,Motion (geometry) ,Development (differential geometry) ,Space (mathematics) ,Mathematics - Abstract
This paper examines final rendezvous between two vehicles in highly elliptic orbits. The range of eccentricities addressed is 0.6 to 0.9. Due to the varying orbital speeds of the two vehicles, the relative motion during elliptic rendezvous is highly dependent on initial conditions and differs significantly from the relative motion seen in circular rendezvous. The character of the motion has important implications for operational and safety considerations. The development of relative motion targeting and propagation procedures that output relative coordinates in a suitable curvilinear coordinate system is discussed. These procedures are subsequently combined with a genetic algorithm optimization that is used to globally characterize the solution space. Results of genetic algorithm studies are presented and a fuel-optimal family of solutions is identified for further study and characterization.
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- 2007
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43. Cross-Sectional Imaging of Paragangliomas of the Aortic Body and Other Thoracic Branchiomeric Paraganglia
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Jonathan Balcombe, Woojin Kim, Drew A. Torigian, and Wallace T. Miller
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Adult ,Male ,medicine.medical_specialty ,Mediastinal Paraganglioma ,Aorta, Thoracic ,Mediastinal Neoplasms ,Paraganglioma ,medicine.artery ,Vascular Neoplasm ,Humans ,Medicine ,Thoracic aorta ,Radiology, Nuclear Medicine and imaging ,Aorta ,business.industry ,General Medicine ,Anatomy ,Middle Aged ,medicine.disease ,Magnetic Resonance Imaging ,Vascular Neoplasms ,Mediastinal Neoplasm ,Great vessels ,cardiovascular system ,Female ,Radiology ,Tomography, X-Ray Computed ,business ,Aortic body - Abstract
OBJECTIVE. Our purpose was to show the CT and MRI findings of paragangliomas of the aortic body and the great vessels of the mediastinum.CONCLUSION. Paragangliomas of the aortic body and the great vessels have a characteristic imaging appearance. They originate from known sites of the branchiomeric paraganglia such as the aortic body. Knowledge of the location of the aortic body and other paraganglia combined with an appreciation of the how these tumors grow and displace neighboring structures will suggest a potential diagnosis of mediastinal paraganglioma.
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- 2007
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44. Best Practices for Rehabilitation and Moving of Historic Metal Truss Bridges
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Ann B Miller, Katherine S Clark, and Wallace T McKeel Jr
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Engineering ,Rehabilitation ,business.industry ,Process (engineering) ,Mechanical Engineering ,Best practice ,medicine.medical_treatment ,Safety standards ,Civil engineering ,Construction engineering ,Cultural heritage ,Truss bridge ,medicine ,Bridge maintenance ,business ,General deterioration ,Civil and Structural Engineering - Abstract
The Virginia Department of Transportation (DOT) is responsible for the management of about 30 historic truss bridges. Too often, these structures do not meet today's traffic demands or safety standards. Their general deterioration necessitates that they be disassembled and relocated, rehabilitated and re-erected, or stored. The technology and materials used to build them are no longer in use, and many people with practical experience are no longer working. Little information is readily available on effectively identifying and safely performing necessary operations. Virginia DOT's Knowledge Management Division and the Virginia Transportation Research Council interviewed active and retired engineers, consultants, field personnel, environmental specialists, and architectural historians to collect best practices related to pin-connected and riveted truss bridges. Discussion of the issues faced by those moving and rehabilitating historic metal truss bridges is framed by using the process followed for the recent rehabilitation of a historic truss bridge in Goshen, Virginia. Best practices identified through the examination of this and other projects are also presented.
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- 2007
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45. The Shaping of the Elizabethan Regime: Elizabethan Politics, 1558-1572
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Wallace T. MacCaffrey
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- 2015
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46. Part I. The New Regime
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Wallace T. MacCaffrey
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Keynesian economics - Published
- 2015
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47. PART II. The Years of Adventure
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Wallace T. MacCaffrey
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History ,Art history ,Adventure - Published
- 2015
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48. PART V. The Testing-Time of the Regime
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Wallace T. MacCaffrey
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- 2015
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49. PART IV. Prelude to Crisis
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Wallace T. MacCaffrey
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- 2015
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50. PART III. Mary and Elizabeth
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Wallace T. MacCaffrey
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Part iii ,media_common.quotation_subject ,Art ,Theology ,media_common - Published
- 2015
- Full Text
- View/download PDF
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