30 results on '"Rengifo, C"'
Search Results
2. Diagnostic accuracy of intraoperative pelvic autonomic nerve monitoring during rectal surgery: a systematic review.
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O'Connor, A., Rengifo, C., Griffiths, B., Cornish, J. A., Tiernan, J. P., Khan, Jim, Nunoo-Mensah, J. W., Telford, K., and Harji, D.
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RECTAL surgery , *FECAL incontinence , *PROCTOLOGY , *CINAHL database , *SEXUAL dysfunction , *INTRAOPERATIVE monitoring , *ANORECTAL function tests - Abstract
Purpose: Anorectal and urogenital dysfunctions are common after rectal surgery and have a significant impact on quality of life. Intraoperative pelvic autonomic nerve monitoring (pIONM) has been proposed as a tool to identify patients at risk of these functional sequelae. This systematic review aims to evaluate the diagnostic accuracy of pIONM in detecting anorectal and urogenital dysfunction following rectal surgery. Methods: A systematic review of articles published since 1990 was conducted using MEDLINE, Embase, CINAHL, Google Scholar, Scopus, and Web of Science. Studies describing pIONM for rectal surgery and reporting anorectal or urogenital functional outcomes were included. The risk of bias was assessed using the QUADS-2 tool. The diagnostic accuracy of pIONM was established with pooled sensitivity and specificity alongside summary receiver-operating characteristic curves. Results: Twenty studies including 686 patients undergoing pIONM were identified, with seven of these studies including a control group. There was heterogeneity in the pIONM technique and reported outcome measures used. Results from five studies indicate pIONM may be able to predict postoperative anorectal (sensitivity 1.00 [95% CI 0.03–1.00], specificity 0.98 [0.91–0.99]) and urinary (sensitivity 1.00 [95% CI 0.03–1.00], specificity 0.99 [0.92–0.99]) dysfunction. Conclusions: This review identifies the diagnostic accuracy of pIONM in detecting postoperative anorectal and urogenital dysfunction following rectal surgery. Further research is necessary before pIONM can be routinely used in clinical practice. PROSPERO Registration Details: CRD42022313934. [ABSTRACT FROM AUTHOR]
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- 2024
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3. Delayed transrectal mesh erosion after sacrocolpopexy
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Rengifo, C, primary and Ali, B, additional
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- 2021
- Full Text
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4. Outcomes of obstructed abdominal wall hernia: results from the UK national small bowel obstruction audit
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Lee, MJ, Drake, TM, Sayers, AE, Walsh, CJ, Davies, MM, Fearnhead, NS, Abercrombie, J, Acheson, A, Alderson, D, Anderson, I, Bach, S, Davies, M, Hamady, Z, Hind, D, Hollyman, M, Hare, S, Lee, E, Northover, J, Lewis, C, Marriott, P, Maynard, N, Murray, D, Tierney, G, Verjee, A, Wild, J, Abbott, S, Abdulaal, Y, Afshar, S, Ah‐Chuen, J, Ahmed, T, Akhtar, M, Akram, F, Aldred, E, Ali, A, Aly, M, Amajuoyi, A, Amin, V, Anderson, D, Anderson, O, Andreou, A, Ansari, A, Appleton, S, Ardley, R, Arshad, F, Ashour, O, Asour, A, Athem, A, Athersmith, M, Ayoub, F, Azeem, H, Azhar, B, Badenoch, T, Baillie, C, Bandyopadhyay, D, Barker, J, Barker, S, Barkham, B, Baron, R, Barrie, J, Barry‐Yarrow, E, Bashir, G, Battersby, N, Bazoua, G, Behar, N, Bellam, S, Berger, C, Bhandari, S, Bhasin, S, Biggs, S, Bisset, C, Blake, L, Blencowe, N, Boam, T, Boddy, A, Boereboom, C, Bogdan, M, Bogle, R, Bohra, P, Boland, M, Bolkan, H, Borg, C, Boulton, R, Bouras, G, Boyer, M, Boyle, J, Branagan, G, Brewer, H, Briggs, C, Broadhurst, J, Brown, E, Brown, J, Brown, L, Brown, O, Burns, K, Butcher, K, Butler, M, Byrne, B, Campbell, L, Capper, C, Cartmell, M, Cash, T, Chan, S, Chandratreya, N, Chapman, J, Chapman, S, Charalabopoulos, A, Cheek, C, Chok, S, Choong, W, Chow, M, Chowdhury, J, Coe, P, Conaghan, P, Conn, G, Cook, N, Cook, T, Cooper, S, Cornish, J, Cotton, D, Cox, C, Coyne, P, Crook, R, Crozier, J, Cuffolo, G, Cunha, P, Curtis, N, Cutting, J, Da Costa, K, Silva, L, Das, B, Davenport, M, Davies, J, Davies, T, Day, A, Dayal, S, Dean, S, Demetriou, G, Dengu, F, Dennis, R, Dent, H, Dent, P, Deputy, M, Devoto, L, Di Benedetto, G, Dindyal, S, Donnelly, E, Doody, P, Douka, E, Downham, C, Dowson, H, Edent, H, Edgerton, K, Ekpete, N, El Farran, M, Elamin, O, Eljaafari, M, Elsaid, N, El‐Sharif, M, Evans, J, Evans, M, Ewe, R, Ewing, A, Exarchou, K, Fallaize, R, Faoury, M, Farag, S, Farinella, E, Faulkner, G, Ferguson, H, Fisher, O, Fletcher, J, Forouzanfar, A, Foster, A, Fox, R, Francis, N, Fretwell, V, Fung, D, Gammeri, E, Garnham, J, Geraghty, A, Gilbert, A, Gill, C, Gill, M, Gillespie, M, Giordano, P, Glasbey, J, Goh, M, Golder, A, Green, N, Gregoir, T, Grey, T, Groundwater, E, Grove, T, Growcott, S, Gunasekaran, S, Habib, H, Haddow, J, Halahakoon, V, Halkias, C, Hall, C, Hampson, A, Hancock, L, Hanna, T, Hannay, J, Harikrishnan, A, Harries, R, Harris, G, Hartley, J, Harvey, K, Hawkin, P, Hawkins, J, Healy, R, Heard, R, Heartshorne, R, Heller, S, Hendra, L, Herrod, P, Heywood, N, Hicks, G, Hobson, B, Holtham, S, Hope, C, Hopley, P, Hossain, T, Hossaini, S, Howse, F, Hubbard, T, Humphreys, A, Ikram, H, Ioannis, M, Iqbal, M, Iqbal, N, Jain, R, Jatania, J, Jenkinson, P, Jokhan, S, Jones, A, Jones, C, Jones, L, Joshi, H, Joshi, K, Joy, M, Jull, P, Kakaniaris, G, Kallam, R, Kane, E, Kang, P, Kanitkar, R, Kauser, S, Kazmi, F, Kedrzycki, M, Kelly, S, Kendall, J, Khan, M, Khan, T, King, G, Kisiel, A, Kitsis, C, Kolawole, I, Korambayil, S, Kosasih, S, Kosti, A, Kotb, A, Kouris, S, Kshatriya, K, Kumar, S, Lafaurie, G, Lal, R, Lau, A, Lazim, T, Lazzaro, A, Lee, K, Lefroy, R, Leinhardt, D, Lennon, H, Leong, K, Levy, B, Lim, E, Lim, J, Lindley, S, Liu, D, Lloyd, P, Locker, D, Lockwood, S, Lowe, C, Lund, J, Lunevicius, R, Lunt, A, Lutfi, S, Luther, A, Luwemba, S, Mahankali‐Rao, P, Mahroof, S, Mai, D, Majid, S, Malik, A, Malik, K, Mann, K, Mansour, S, Manu, N, Mapara, R, Martin, C, Martin, J, Martin, R, Mason, C, Massey, L, Mathias, J, Mathur, P, Maude, K, McArthur, D, McCain, S, McCluney, S, McFall, M, McIlroy, B, McKay, S, McKinley, N, McNair, A, McWhirter, D, Mekhail, P, Mellor, K, Merchant, J, Merker, L, Messenger, D, Miles, A, Mir, S, Mishra, A, Mistry, P, Miu, V, Moat, M, Mockford, K, Mohamed, E, Mohamed, I, Mondragon‐Pritchard, M, Moore, N, Moretti, L, Morris, H, Morrison, T, Morrison‐Jones, V, Moss, J, Moug, S, Mountford, D, Moynihan, R, Muhammad, K, Muldoon‐Smith, D, Mulholland, J, Mullan, M, Murgitroyd, E, Murugaiyan, K, Myers, A, Mykoniatis, I, Nana, G, Nash, T, Nassar, A, Newton, R, Ng, C, Ng, P, Nguyen, K, Nicholas, F, Noor, M, Nowers, J, Nugent, C, Nunn, A, Nunn, R, Obeid, N, O'Callaghan, J, O'Hara, R, Oke, O, Olivier, J, O'Neill, A, O'Neill, S, Osei‐Bordom, D, Osgood, L, Panagiotopoulos, S, Panchasara, B, Parks, R, Patel, H, Patel, P, Patel, R, Patel, S, Pawelec, K, Payne, C, Pearson, K, Perin, G, Peristerakis, I, Petronio, B, Phelan, L, Phillips, J, Pisaneschi, C, Pitt, J, Plunkett‐Reed, K, Ponchietti, L, Pouzi, A, Pouzi, M, Powell, A, Powell‐Chandler, A, Pranesh, N, Proctor, V, Pywell, S, Qureshi, A, Qureshi, N, Rahman, M, Rai, Z, Ramcharan, S, Rangarajan, K, Rashid, M, Reader, H, Rehman, A, Rehman, S, Rengifo, C, Richards, E, Richardson, N, Robinson, A, Robinson, D, Rossi, B, Rutherford, F, Sadien, I, Saghir, T, Sahnan, K, Salahia, G, Sarveswaran, J, Saunders, M, Scott, B, Scott, K, Seager, A, Seal, S, Sezen, E, Shaban, F, Shah, P, Shahmohammadi, M, Shamsiddinova, A, Shankar, S, Sharpe, A, Shatkar, V, Sheel, A, Shields, T, Shinkwin, M, Shurmer, J, Siddika, A, Siddiqui, S, Simson, R, Sinclair, P, Singh, B, Singh, S, Sivaraj, J, Skaife, P, Skelly, B, Skinner, A, Slim, N, Smart, C, Smart, N, Smith, F, Smith, I, Smith, R, Spence, G, Sreedhar, A, Steinke, J, Stevenson, L, Stewart‐Parker, E, Stott, M, Stubbs, B, Stylianides, N, Subramonia, S, Swinkin, M, Swinscoe, M, Symons, N, Tahir, W, Taj, T, Takacs, K, Tam, J, Tan, K, Tani, S, Tanner, N, Tao, D, Taylor, M, Thava, B, Thippeswamy, K, Thomas, C, Thompson, E, Thompson, R, Thompson‐Reil, C, Thorn, C, Tongo, F, Toth, G, Turnbull, A, Turnbull, J, Valero, C, Boxel, G, Varcada, M, Venn, M, Ventham, N, Venza, M, Vimalachandran, D, Virlos, I, Wade, T, Wafi, A, Waite, K, Walker, M, Walker, N, Walker, T, Walsh, U, Wardle, S, Warner, R, Watfah, J, Watson, N, Watt, J, Watts, J, Wayman, J, Weegenaar, C, West, H, West, M, Whitehurst, L, Whyler, M, Wiggans, M, Wijeyekoon, S, Williams, G, Williams, R, Williamson, A, Williamson, J, Wilson, J, Winter, A, Wolpert, L, Wong, J, Yeap, E, Yeong, T, Zaman, S, Zappa, B, and Zosimas, D
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Adult ,Male ,medicine.medical_specialty ,National Audit of Small Bowel Obstruction Steering Group and National Audit of Small Bowel Obstruction Collaborators ,Incisional hernia ,lcsh:Surgery ,030230 surgery ,Abdominal wall ,03 medical and health sciences ,0302 clinical medicine ,Postoperative Complications ,NASBO Collaborators ,medicine ,Humans ,Hernia ,Hospital Mortality ,General ,Emergency Treatment ,Aged ,Proportional Hazards Models ,Aged, 80 and over ,Groin ,business.industry ,Mortality rate ,Hazard ratio ,West Midlands Research Collaborative ,General Medicine ,Odds ratio ,Original Articles ,lcsh:RD1-811 ,Middle Aged ,medicine.disease ,Quality Improvement ,United Kingdom ,Surgery ,Hernia, Abdominal ,Bowel obstruction ,medicine.anatomical_structure ,Logistic Models ,030220 oncology & carcinogenesis ,Original Article ,Female ,business ,NASBO Steering Group ,Intestinal Obstruction - Abstract
Background Abdominal wall hernia is a common surgical condition. Patients may present in an emergency with bowel obstruction, incarceration or strangulation. Small bowel obstruction (SBO) is a serious surgical condition associated with significant morbidity. The aim of this study was to describe current management and outcomes of patients with obstructed hernia in the UK as identified in the National Audit of Small Bowel Obstruction (NASBO). Methods NASBO collated data on adults treated for SBO at 131 UK hospitals between January and March 2017. Those with obstruction due to abdominal wall hernia were included in this study. Demographics, co‐morbidity, imaging, operative treatment, and in‐hospital outcomes were recorded. Modelling for factors associated with mortality and complications was undertaken using Cox proportional hazards and multivariable regression modelling. Results NASBO included 2341 patients, of whom 415 (17·7 per cent) had SBO due to hernia. Surgery was performed in 312 (75·2 per cent) of the 415 patients; small bowel resection was required in 198 (63·5 per cent) of these operations. Non‐operative management was reported in 35 (54 per cent) of 65 patients with a parastomal hernia and in 34 (32·1 per cent) of 106 patients with an incisional hernia. The in‐hospital mortality rate was 9·4 per cent (39 of 415), and was highest in patients with a groin hernia (11·1 per cent, 17 of 153). Complications were common, including lower respiratory tract infection in 16·3 per cent of patients with a groin hernia. Increased age was associated with an increased risk of death (hazard ratio 1·05, 95 per cent c.i. 1·01 to 1·10; P = 0·009) and complications (odds ratio 1·05, 95 per cent c.i. 1·02 to 1·09; P = 0·001). Conclusion NASBO has highlighted poor outcomes for patients with SBO due to hernia, highlighting the need for quality improvement initiatives in this group., This study shows that small bowel obstruction due to abdominal wall hernia is common, typically involves a co‐morbid group of patients and has poor outcomes, including high mortality rates. High mortality from this problem
- Published
- 2020
5. National prospective cohort study of the burden of acute small bowel obstruction
- Author
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Lee, M. J., Sayers, A. E., Drake, T. M., Marriott, P. J., Anderson, I. D., Bach, S. P., Bradburn, M., Hind, D., Verjee, A., Fearnhead, N. S., Abercrombie, John, Acheson, Austin, Alderson, Derek, Anderson, Iain, Davies, Michael, Hamady, Zaed, Hollyman, Marianne, Hare, Sarah, Lee, Ellen, Northover, John, Lewis, Christopher, McFall, Malcolm, Murugananthan, Aravinth, Murray, David, Singh, Pritam, Tierney, Gillian, Walsh, Ciaran, Wild, Jonathan, Wilson, Timothy, Abbott, S, Abdulaal, Y, Afshar, S, Ah‐Chuen, J, Ahmed, T, Akhtar, M, Akram, F, Aldred, E, Ali, A, Aly, M, Amajuoyi, A, Amin, V, Anderson, D, Anderson, O, Andreou, A, Ansari, A, Appleton, S, Ardley, R, Arshad, F, Ashour, O, Asour, A, Athem, A, Athersmith, M, Ayoub, F, Azeem, H, Azhar, B, Badenoch, T, Baillie, C, Bandyopadhyay, D, Barker, J, Barker, S, Barkham, B, Baron, R, Barrie, J, Barry‐Yarrow, E, Bashir, G, Battersby, N, Bazoua, G, Behar, N, Bellam, S, Berger, C, Bhandari, S, Bhasin, S, Biggs, S, Bisset, C, Blake, L, Blencowe, N, Boam, T, Boddy, A, Boereboom, C, Bogdan, M, Bogle, R, Bohra, P, Boland, M, Bolkan, H, Borg, C, Boulton, R, Bouras, G, Boyer, M, Boyle, J, Branagan, G, Brewer, H, Briggs, C, Broadhurst, J, Brown, E, Brown, J, Brown, L, Brown, O, Burns, K, Butcher, K, Butler, M, Byrne, B, Campbell, L, Capper, C, Cartmell, M, Cash, T, Chan, S, Chandratreya, N, Chapman, J, Chapman, S, Charalabopoulos, A, Cheek, C, Chok, S, Choong, W, Chow, M, Chowdhury, J, Coe, P, Conaghan, P, Conn, G, Cook, N, Cook, T, Cooper, S, Cornish, J, Cotton, D, Cox, C, Coyne, P, Crook, R, Crozier, J, Cuffolo, G, Cunha, P, Curtis, N, Cutting, J, Da Costa, K, Silva, L, Das, B, Davenport, M, Davies, J, Davies, T, Day, A, Dayal, S, Dean, S, Demetriou, G, Dengu, F, Dennis, R, Dent, H, Dent, P, Deputy, M, Devoto, L, Di Benedetto, G, Dindyal, S, Donnelly, E, Doody, P, Douka, E, Downham, C, Dowson, H, Edent, H, Edgerton, K, Ekpete, N, El Farran, M, Elamin, O, Eljaafari, M, Elsaid, N, El‐Sharif, M, Evans, J, Evans, M, Ewe, R, Ewing, A, Exarchou, K, Fallaize, R, Faoury, M, Farag, S, Farinella, E, Faulkner, G, Ferguson, H, Fisher, O, Fletcher, J, Forouzanfar, A, Foster, A, Fox, R, Francis, N, Fretwell, V, Fung, D, Gammeri, E, Garnham, J, Geraghty, A, Gilbert, A, Gill, C, Gill, M, Gillespie, M, Giordano, P, Glasbey, J, Goh, M, Golder, A, Green, N, Gregoir, T, Grey, T, Groundwater, E, Grove, T, Growcott, S, Gunasekaran, S, Habib, H, Haddow, J, Halahakoon, V, Halkias, C, Hall, C, Hampson, A, Hancock, L, Hanna, T, Hannay, J, Harikrishnan, A, Harries, R, Harris, G, Hartley, J, Harvey, K, Hawkin, P, Hawkins, J, Healy, R, Heard, R, Heartshorne, R, Heller, S, Hendra, L, Herrod, P, Heywood, N, Hicks, G, Hobson, B, Holtham, S, Hope, C, Hopley, P, Hossain, T, Hossaini, S, Howse, F, Hubbard, T, Humphreys, A, Ikram, H, Ioannis, M, Iqbal, M, Iqbal, N, Jain, R, Jatania, J, Jenkinson, P, Jokhan, S, Jones, A, Jones, C, Jones, L, Joshi, H, Joshi, K, Joy, M, Jull, P, Kakaniaris, G, Kallam, R, Kane, E, Kang, P, Kanitkar, R, Kauser, S, Kazmi, F, Kedrzycki, M, Kelly, S, Kendall, J, Khan, M, Khan, T, King, G, Kisiel, A, Kitsis, C, Kolawole, I, Korambayil, S, Kosasih, S, Kosti, A, Kotb, A, Kouris, S, Kshatriya, K, Kumar, S, Lafaurie, G, Lal, R, Lau, A, Lazim, T, Lazzaro, A, Lee, K, Lefroy, R, Leinhardt, D, Lennon, H, Leong, K, Levy, B, Lim, E, Lim, J, Lindley, S, Liu, D, Lloyd, P, Locker, D, Lockwood, S, Lowe, C, Lund, J, Lunevicius, R, Lunt, A, Lutfi, S, Luther, A, Luwemba, S, Mahankali‐Rao, P, Mahroof, S, Mai, D, Majid, S, Malik, A, Malik, K, Mann, K, Mansour, S, Manu, N, Mapara, R, Martin, C, Martin, J, Martin, R, Mason, C, Massey, L, Mathias, J, Mathur, P, Maude, K, McArthur, D, McCain, S, McCluney, S, McIlroy, B, McKay, S, McKinley, N, McNair, A, McWhirter, D, Mekhail, P, Mellor, K, Merchant, J, Merker, L, Messenger, D, Miles, A, Mir, S, Mishra, A, Mistry, P, Miu, V, Moat, M, Mockford, K, Mohamed, E, Mohamed, I, Mondragon‐Pritchard, M, Moore, N, Moretti, L, Morris, H, Morrison, T, Morrison‐Jones, V, Moss, J, Moug, S, Mountford, D, Moynihan, R, Muhammad, K, Muldoon‐Smith, D, Mulholland, J, Mullan, M, Murgitroyd, E, Murugaiyan, K, Myers, A, Mykoniatis, I, Nana, G, Nash, T, Nassar, A, Newton, R, Ng, C, Ng, P, Nguyen, K, Nicholas, F, Noor, M, Nowers, J, Nugent, C, Nunn, A, Nunn, R, Obeid, N, O'Callaghan, J, O'Hara, R, Oke, O, Olivier, J, O'Neill, A, O'Neill, S, Osei‐Bordom, D, Osgood, L, Panagiotopoulos, S, Panchasara, B, Parks, R, Patel, H, Patel, P, Patel, R, Patel, S, Pawelec, K, Payne, C, Pearson, K, Perin, G, Peristerakis, I, Petronio, B, Phelan, L, Phillips, J, Pisaneschi, C, Pitt, J, Plunkett‐Reed, K, Ponchietti, L, Pouzi, A, Pouzi, M, Powell, A, Powell‐Chandler, A, Pranesh, N, Proctor, V, Pywell, S, Qureshi, A, Qureshi, N, Rahman, M, Rai, Z, Ramcharan, S, Rangarajan, K, Rashid, M, Reader, H, Rehman, A, Rehman, S, Rengifo, C, Richards, E, Richardson, N, Robinson, A, Robinson, D, Rossi, B, Rutherford, F, Sadien, I, Saghir, T, Sahnan, K, Salahia, G, Sarveswaran, J, Saunders, M, Scott, B, Scott, K, Seager, A, Seal, S, Sezen, E, Shaban, F, Shah, P, Shahmohammadi, M, Shamsiddinova, A, Shankar, S, Sharpe, A, Shatkar, V, Sheel, A, Shields, T, Shinkwin, M, Shurmer, J, Siddika, A, Siddiqui, S, Simson, R, Sinclair, P, Singh, B, Singh, S, Sivaraj, J, Skaife, P, Skelly, B, Skinner, A, Slim, N, Smart, C, Smart, N, Smith, F, Smith, I, Smith, R, Spence, G, Sreedhar, A, Steinke, J, Stevenson, L, Stewart‐Parker, E, Stott, M, Stubbs, B, Stylianides, N, Subramonia, S, Swinkin, M, Swinscoe, M, Symons, N, Tahir, W, Taj, T, Takacs, K, Tam, J, Tan, K, Tani, S, Tanner, N, Tao, D, Taylor, M, Thava, B, Thippeswamy, K, Thomas, C, Thompson, E, Thompson, R, Thompson‐Reil, C, Thorn, C, Tongo, F, Toth, G, Turnbull, A, Turnbull, J, Valero, C, Boxel, G, Varcada, M, Venn, M, Ventham, N, Venza, M, Vimalachandran, D, Virlos, I, Wade, T, Wafi, A, Waite, K, Walker, M, Walker, N, Walker, T, Walsh, U, Wardle, S, Warner, R, Watfah, J, Watson, N, Watt, J, Watts, J, Wayman, J, Weegenaar, C, West, H, West, M, Whitehurst, L, Whyler, M, Wiggans, M, Wijeyekoon, S, Williams, G, Williams, R, Williamson, A, Williamson, J, Wilson, J, Winter, A, Wolpert, L, Wong, J, Yeap, E, Yeong, T, Zaman, S, Zappa, B, Zosimas, D, Moug S Mondragon‐Pritchard, M, Rehan, S, and van Boxel, G
- Abstract
Background: \ud Small bowel obstruction is a common surgical emergency, and is associated with high levels of morbidity and mortality across the world. The literature provides little information on the conservatively managed group. The aim of this study was to describe the burden of small bowel obstruction in the UK.\ud \ud Methods: \ud This prospective cohort study was conducted in 131 acute hospitals in the UK between January and April 2017, delivered by trainee research collaboratives. Adult patients with a diagnosis of mechanical small bowel obstruction were included. The primary outcome was in‐hospital mortality. Secondary outcomes included complications, unplanned intensive care admission and readmission within 30 days of discharge. Practice measures, including use of radiological investigations, water soluble contrast, operative and nutritional interventions, were collected.\ud \ud Results: \ud Of 2341 patients identified, 693 (29·6 per cent) underwent immediate surgery (within 24 h of admission), 500 (21·4 per cent) had delayed surgery after initial conservative management, and 1148 (49·0 per cent) were managed non‐operatively. The mortality rate was 6·6 per cent (6·4 per cent for non‐operative management, 6·8 per cent for immediate surgery, 6·8 per cent for delayed surgery; P = 0·911). The major complication rate was 14·4 per cent overall, affecting 19·0 per cent in the immediate surgery, 23·6 per cent in the delayed surgery and 7·7 per cent in the non‐operative management groups (P < 0·001). Cox regression found hernia or malignant aetiology and malnutrition to be associated with higher rates of death. Malignant aetiology, operative intervention, acute kidney injury and malnutrition were associated with increased risk of major complication.\ud \ud Conclusion: \ud Small bowel obstruction represents a significant healthcare burden. Patient‐level factors such as timing of surgery, acute kidney injury and nutritional status are factors that might be modified to improve outcomes.
- Published
- 2019
6. 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.
- Subjects
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.
- Published
- 2018
7. The development and validation of a scoring tool to predict the operative duration of elective laparoscopic cholecystectomy
- Author
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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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8. RELAPSED/REFRACTORY MULTIPLE MYELOMA AND NEW THERAPEUTIC OPTIONS: EXPERIENCE IN A PHASE 1 CLINICAL TRIALS UNIT.
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Siguero, A. Martín, Rengifo, C. Donoso, Ceba, E. Laguna, Guío, A. Hernández, Daniel, MG, Achabal, G. Vega, and Cillan, S. Ramos
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- 2024
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9. Implementation of a low cost prototype for electrical impedance tomography based on the integrated circuit for body composition measurement AFE4300
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Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica, Universitat Politècnica de Catalunya. BCN SEER - Barcelona Science and Engineering Education Research Group, Mosquera, V.H., Arregui, A., Bragós Bardia, Ramon, Rengifo, C. F, Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica, Universitat Politècnica de Catalunya. BCN SEER - Barcelona Science and Engineering Education Research Group, Mosquera, V.H., Arregui, A., Bragós Bardia, Ramon, and Rengifo, C. F
- Abstract
Electrical impedance tomography (EIT) is a technique of image reconstruction of the electrical conductivity distribution in a tissue or region under observation. An electrical system for EIT comprises complex hardware and software modules, which are designed for a specific application which requires that the system to be able to detect conductivity variations within the study object. The Front-End for body composition measurement, AFE4300 from Texas Instruments allows a minimal implementation of an electrical impedance tomography system. It is the main device in the development of the EIT system presented in this paper, this device injects the current signal and measures the tensions generated on the study region boundary by 8 electrodes, the image reconstruction software was developed on the National Instruments platform Labview. The system includes a microcontroller PIC16F886 to configure the 8 channels for the definition of the patterns of injection and measurement of signals, also defines the current signal frequency and the bluetooth communication with the computer for the image reconstruction. The developed system was validated by a planar resistive phantom (CardiffEIT phantom), obtaining a stable voltage measurement every 50 ms per pair of electrodes, and a signal to noise ratio (SNR) maximum of 71.8 dB, for a current signal of 50 kHz. Additionally, tests were carried out in a saline tank with a concentration of 4 g/L, the developed system can simultaneously estimate the presence of conductive and non-conductive disturbances into the tank. Copyright, Peer Reviewed, Postprint (published version)
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- 2018
10. 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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11. 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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12. Arbol vascular placentario a nivel del mar
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Martina, M., Rosales, H., Malca, T., Delgado, F., Anchiraico, E., Torres, M., Rengifo, C., Quisocala, D., Gutiérrez, M., Pérez, E., and Herrada, T.
- Abstract
Objective: To determine the morphology and weight of the placental vascular tree. Material and Methods: Twenty seven placentas were collected from normal pregnant women who had prenatal care at Clinica Villa Maria–EsSalud. Patients who had diabetes mellitus, arterial hypertension, preeclampsia, nephropathy, Rh isoimmunization and anemia were not included. The specimens were rinsed with tap water for 30 minutes, the fetal membranes were trimmed off at the level of its insertion. The placentas were weighed and the umbilical vessels were catheterized and flushed with 100 mL of normal saline solution and then the acrylic solution (15 mL of liquid with 7,5 of powder) was injected. The placentas were immersed in hot water for 30 minutes then fixed in 10% formaldehyde for two hours and finally immersed in hydrochloric acid for 7 days in order to obtain the acrylic cast of the placental vascular tree by corrosion. Results: The mean weight of the vascular tree was 16,9 g (8,7-25,3 g). The mean placental ratio was 0,1571 (0,1081-0,1944) and the mean placental vascular ratio was 0,0317 (0,0230-0,0560); in addition there was a direct relation between the weight of the placenta and the weight of the vascular tree. Conclusions: Our data will permit comparison with high altitude placentae, where hypoxia could modify placental vascular tree. Objetivos Determinar la morfología y el peso del árbol vascular placentario a nivel del mar. Material y Métodos: Se seleccionó al azar 27 placentas, cuyas madres cumplían con los criterios de inclusión (CPN, ausencia de diabetes, hipertensión arterial, preeclampsia, nefropatías, isoinmunización Rh). Obtenida la placenta se procedía a lavado por 30 minutos con agua potable, corte de membranas al ras del borde placentario, corte del cordón umbilical a 5 cm de su inserción, cateterización de los vasos umbilicales, lavado con 200 cmL de solución salina 9º/oo, se inyecta solución de acrílico, curado lento, a presión conocida 15 mL de solución y 7,5 g de polvo acrílico, teñido de rojo para las arterias y de azul para la vena. Sumersión en agua hervida por 30 minutos, luego formol 10% por dos horas y ácido perclórico (ácido muriático) por siete días. Se rociaba las placentas con agua y se obtenía el árbol. Resultados: El peso promedio del árbol vascular placentario fue 16,9 g, rango: 8,7–25,3 g; el índice placentario fue: 0,1571, rango: 0,1081–0,1944 g y el índice vascular placentario 0,0317, rango: 0,0230–0,0560. A mayor peso placentario, mayor peso vascular placentario. Conclusiones: Los datos obtenidos, servirán de comparación con los resultados a obtener en placentas de altura, a fin de determinar si la hipoxia de altura incrementa la vasculatura placentaria.
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- 2015
13. Anal metastasis as the sentinel and isolated presentation of invasive ductal breast carcinoma
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Rengifo, C, primary, Titi, S, additional, and Walls, J, additional
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- 2016
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14. PS-058 Analysis of pharmaceutical interventions in the onco-haematology area in a tertiary level hospital
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Carreño, E Romero, primary, Rodríguez, JA Marcos, additional, Guerrero, L Jiménez, additional, Rengifo, C Donoso, additional, Martínez, S Santana, additional, Fernández, MD Alvarado, additional, and Real, M Vázquez, additional
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- 2016
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15. DI-051 Tolvaptan off-label use in hyponatraemia due to heart failure. A case series
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Vázquez-Real, M, primary, Roldán, U Baños, additional, Mesa-Jiménez, A, additional, Rengifo, C Donoso, additional, and Izquierdo, M Murillo, additional
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- 2016
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16. Identificacion de un sistema de temperatura usando programacion genetica
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Certuche, J. P., Rengifo, C. F., and ACUNA BRAVO, Wilber
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- 2004
17. Arbol vascular placentario a nivel del mar
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Malca, T., Delgado, F., Anchiraico, E., Torres, M., Rengifo, C., Quisocala, D., Gutiérrez, Miguel, Pérez, E., Herrada, T., Martina, M., Rosales, H., Malca, T., Delgado, F., Anchiraico, E., Torres, M., Rengifo, C., Quisocala, D., Gutiérrez, Miguel, Pérez, E., Herrada, T., Martina, M., and Rosales, H.
- Abstract
Objective: To determine the morphology and weight of the placental vascular tree. Material and Methods: Twenty seven placentas were collected from normal pregnant women who had prenatal care at Clinica Villa Maria–EsSalud. Patients who had diabetes mellitus, arterial hypertension, preeclampsia, nephropathy, Rh isoimmunization and anemia were not included. The specimens were rinsed with tap water for 30 minutes, the fetal membranes were trimmed off at the level of its insertion. The placentas were weighed and the umbilical vessels were catheterized and flushed with 100 mL of normal saline solution and then the acrylic solution (15 mL of liquid with 7,5 of powder) was injected. The placentas were immersed in hot water for 30 minutes then fixed in 10% formaldehyde for two hours and finally immersed in hydrochloric acid for 7 days in order to obtain the acrylic cast of the placental vascular tree by corrosion. Results: The mean weight of the vascular tree was 16,9 g (8,7-25,3 g). The mean placental ratio was 0,1571 (0,1081-0,1944) and the mean placental vascular ratio was 0,0317 (0,0230-0,0560); in addition there was a direct relation between the weight of the placenta and the weight of the vascular tree. Conclusions: Our data will permit comparison with high altitude placentae, where hypoxia could modify placental vascular tree., Objetivos Determinar la morfología y el peso del árbol vascular placentario a nivel del mar. Material y Métodos: Se seleccionó al azar 27 placentas, cuyas madres cumplían con los criterios de inclusión (CPN, ausencia de diabetes, hipertensión arterial, preeclampsia, nefropatías, isoinmunización Rh). Obtenida la placenta se procedía a lavado por 30 minutos con agua potable, corte de membranas al ras del borde placentario, corte del cordón umbilical a 5 cm de su inserción, cateterización de los vasos umbilicales, lavado con 200 cmL de solución salina 9º/oo, se inyecta solución de acrílico, curado lento, a presión conocida 15 mL de solución y 7,5 g de polvo acrílico, teñido de rojo para las arterias y de azul para la vena. Sumersión en agua hervida por 30 minutos, luego formol 10% por dos horas y ácido perclórico (ácido muriático) por siete días. Se rociaba las placentas con agua y se obtenía el árbol. Resultados: El peso promedio del árbol vascular placentario fue 16,9 g, rango: 8,7–25,3 g; el índice placentario fue: 0,1571, rango: 0,1081–0,1944 g y el índice vascular placentario 0,0317, rango: 0,0230–0,0560. A mayor peso placentario, mayor peso vascular placentario. Conclusiones: Los datos obtenidos, servirán de comparación con los resultados a obtener en placentas de altura, a fin de determinar si la hipoxia de altura incrementa la vasculatura placentaria.
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- 2001
18. IMMUNODETECTION OF N-GLYCOLYL GM3 GANGLIOSIDE IN LUNG CARCINOMA BY IMMUNOHISTOCHEMISTRY: A TECHNICAL STUDY USING FROZEN AND FORMALIN-FIXED AND PARAFFIN-EMBEDDED TISSUES.
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Blanco, R., Rengifo, C. E., Cedeño, M., Frómeta, M., Hernández, T., Carr, A., and Rengifo, E.
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LUNG cancer diagnosis , *GANGLIOSIDES , *FORMALDEHYDE , *PARAFFIN wax , *ORGANIC solvents , *GENE expression , *IMMUNOHISTOCHEMISTRY - Abstract
N-glycolyl GM3 ganglioside (NeuGcGM3) expression in lung carcinomas using formalin-fixed and paraffin-embedded (FFPE) samples has been recently demonstrated. In the present work, it was confirmed the tissue expression of NeuGcGM3 in lung carcinomas by mean of two different mAbs, P3 (anti-NeuGc-containing gangliosides and sulfated glycolipids) and 14F7 (a highly specific for NeuGcGM3) using FFPE samples. In addition, it was reported the tissue expression of NeuGcGM3 in frozen lung carcinoma sections, also supported by the chemical extraction of this ganglioside with organic solvents such as: ethanol, methanol and chloroform/methanol. Moreover, the murine, chimeric and humanized versions of 14F7 mAb showed a similar pattern of immunostaining in this kind of samples. It was also demonstrated that formalin fixation prevent the damage and/or extraction of the antigenic determinant recognized by 14F7 mAb. Consequently, the detection of NeuGcGM3 in frozen samples and their FFPE counterparts was comparable. Our data seems to be in agreement with the potential use of chimeric and/or humanized versions of 14F7 mAb for the passive immuno therapy of lung carcinoma expressing NeuGcGM3. The reactivity of 14F7 murine mAb in FFPE tissues permits to consider it as a useful tool in the selection of patients for specific therapies. [ABSTRACT FROM AUTHOR]
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- 2014
19. IOR C2: A TUMOR ASSOCIATED ANTIGEN AS POTENTIAL TARGET FOR IMMUNOTHERAPY IN EPITHELIAL OVARIAN CANCER.
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Cedeño-Arias, M., Rengifo, C. E., Ramos-Suzarte, M., Santana, R. Blanco, Rengifo, E., and Nogales, F. F.
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OVARIAN cancer treatment , *CANCER immunotherapy , *TUMOR antigens , *IMMUNOHISTOCHEMISTRY , *PROTEIN expression , *IMMUNOSTAINING , *FROZEN tissue sections - Abstract
Ovarian cancer ranks the most lethal among gynecologic neoplasms in women. To assess the immunohistochemical expression of IOR C2 antigen in normal tissues as well as in ovarian cancer, the immunohistochemical expression of IOR C 2 in two ovarian cancer cell lines, frozen tissues from both fetus and adult healthy persons, tissue biopsies from normal ovary and ovarian tumors were investigated. IOR C2 immunoreactivity was also compared with the staining pattern of CEA and CA-125. IOR C2 was detected in both epithelial and glandular derivative cells of gastrointestinal tract and cell secretion substance. A limited number of normal tissues tested were positive. Normal human ovarian surface epithelium was no reactive. Intense and heterogeneous immunostaining was detected in 63, 6% of tumor samples studied. Nevertheless, a decreased or lack of IOR C2 over expression in benign cystadenomas was observed contrasting with strongest signal in ovarian carcinomas. IOR C2 was mainly found in mucinous tumors compared to serous and endometroid subtype. No reaction in clear cell carcinoma was observed. IOR C2 shows a differential expression during malignant transformation, as well as in ovarian tumors related to the histological subtype. This glycoprotein may be represents a potential cell surface target for the immunotherapy of cancer using monoclonal antibodies. [ABSTRACT FROM AUTHOR]
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- 2013
20. 4CPS-034 Effectiveness and safety of monoclonal antibodies against proprotein convertase subtilisin/kexin 9 (pcsk9 inhibitors) for the treatment of hypercholesterolaemia
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Ambel, H Quiros, Rengifo, C Donoso, Sacristíán, AA García, Sesmero, JM Martinez, Barahona, A Dominguez, Suarez, S Gonzíáález, Gomez, P Moya, and Romero, C Blazquez
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BackgroundAlirocumab and evolocumab (PCSK9-Inhibitors), are new drugs incorporated into the therapeutic arsenal for the treatment of hypercholesterolaemia, having shown effectiveness and safety in the performed clinical trials.PurposeTo assess the effectiveness and safety of PCSK9-Inhibitors, to evaluate if both drugs are equally effective and to evaluate if there is any efficacy difference when using them as monotherapy agents or plus other lipid-lowering therapies (OLLT).Material and methodsObservational, retrospective and analytical study of patients in treatment with PCSK9-Inhibitors between February 2016 and August 2017. Patients’ selection, demographic and clinical parameters (sex, age, diagnosis, prescribed PCSK9-Inhibitors, OLLT, adverse events(AE)), analytical data (LDL-Cholesterol (LDL-C) and transaminases at week 0, 24 and 48) were obtained from Farmatools®and MambrinoXXI®.Effectiveness was defined as the percent change in LDL-C from baseline to week 24 or 48. Safety was assessed by analysing AE andincrease in transaminases during treatment.Effectiveness difference between groups were analysed (alirocumab vs evolocumab and PCSK9-Inhibitors vs PCSK9-Inhibitors plus OLLT) using t-test with SPSS®v23.ResultsThirty-nine patients were included: 62% male, between 34 and 78 years’ old. Diagnosis were 77% primary hypercholesterolaemia (97% heterozygous, 3% homozygous) and 23% mixed dyslipidaemia, with mean basal LDL-C of 165.13±45.37 mg/dl. Evolocumab was prescribed in 59% of patients and alirocumab 41%. Only six patients were on PCSK9-Inhibitors monotherapy (33 plus OLLT).The percentage change in LDL-C from baseline to week 24 were −41% and to week 48 were −61%.The percentage change in LDL-C from baseline to week 24 in the evolocumab group were −50% and −46% in the alirocumab group (p=0.736). The percentage change in LDL-C in the monotherapy group were −36% and −51% in the group plus OLLT (p=0.283).No EA were reported, however, 5% of patients presented elevation of transaminases at 12 weeks. There were no cases of patients requiring suspension or interruption of the treatment.ConclusionOur study has shown a reduction in LDL-C that is comparable with that shown in clinical trials, with a greater tendency for reduction in the evolocumab group and in patients with OLLT combined, probably associated with the synergistic effect of both drugs. We must continue to study whether this is related to a reduction in morbidity and mortality.No conflict of interest
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- 2018
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21. 5PSQ-007 Assessment of the intervention of the group proi endocrinology-pharmacy for the improvement of insulin therapy in the hospital
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Guerrero-Aznar, MD, Jimenez-Varo, I, Cordero-Ramos, J, Sevillano-Jiménez, M, Donoso-Rengifo, C, Murillo-Izquierdo, M, Beltréán-Garcéáía, M, Rendéáíón-de-Lope, L, and Garcéáíóía-Gonzéáíóíález, A
- Abstract
BackgroundThe Andalusian Health Service insulinisation protocol for the non-critical patient is applied through a subcutaneous ‘Basal-Bolus-Correction’ technique. Our previous pilot study of glycaemic control in diabetic patients admitted to the hospital, revealed how 41%, with only insulin correction regimen without basal insulin and/or bolus (ICRw), presented at some time during their admission fasting glycaemia >140 mg/dl, and of these 10%>180 mg/dl. It is important to maintain at all times optimal glycaemic control.PurposeTo measure the impact of a multidisciplinary intervention to rationalise the use of ICRw in diabetic patients admitted to the hospital, analysing the-number-of-changes-of-regimen due to hyperglycaemia per 100 prescriptions of ICRw during and after the intervention.Material and methodsIntervention periodDaily selection during 1 month of diabetic patients with 3 days of ICRw and glycaemia >150 mg/dl, of the total of patients with ICRw prescription, using the electronic prescription program and electronic clinical history.Daily intervention of the PROI group (group–for–the–optimisation–of–insulin–therapy) –endocrinology–pharmacy – in all selected patients, through a note with recommendations, in the electronic prescription program.After 2 months, analysis post-interventionfollowing the same procedure.ResultsWe analysed 337 patients with ICRw prescription in the intervention period and 182 in the post-intervention:Percentage of diabetics patients with ICRw in the intervention period: 29% (97/337) and in the post–intervention: 22% (44/182).Percentage of regimen–changes in patients with glycaemia >150 mg/dl and ICRw: 35% in the intervention period – 23 recommendations for change of insulin therapy and 11 follow–ups and posterior change – accepted 87%; and 9% in the post–intervention, all accepted.Odds ratio: 0.1872 (CI 0.04486 to 0.583), Fisher’s Exact Test-, P:0.001. (OPEN-EPI 3.0.)In the intervention period most prescriptions were in patients with home-based insulin therapy or with more than one oral antidiabetic: only 14% were patients with a single oral antidiabetic at home. In the post-intervention period, all were prescriptions in patients with a single oral anti-diabetic at home.ConclusionAfter the intervention of the PROI group, ICRw prescription in the hospital was applied only to patients with single low doses of oral antidiabetics at home. The glycaemia in such cases is usually maintained below 150 mg/dl. The intervention of the multidisciplinary group PROI is considered effective.No conflict of interest
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- 2018
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22. Design and construction of a servomechanism using a memory alloy linear actuator.
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Zuñiga S, Bravo D, and Rengifo C
- Abstract
This work shows the design and construction of a servomechanism of a rotator-type joint based on NiTi Shape Memory Alloys (SMA) with an angular position measurement based on a potentiometer sensor and digital electronic position control. The expected application of this prototype is for the use of small charges that emulate the movement of the human being, being bio-inspired and activated by artificial muscles, their potential applications they will be in medical and humanoid robotics. Computer Aided Design (CAD) allows evaluating and validating the most convenient parameters for construction of servomechanism, experimental results validate allowed us to obtain the values of the range of motion ± 20 ° and a maximum torque of 1.01 kg-cm exerted on the axis of rotation for the prototype., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors.)
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- 2024
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23. Data from steady-state simulation and economic evaluation in the power to methane context for synthetic natural gas production and power generation.
- Author
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Rengifo C, Novoa MP, Cobo M, and Figueredo M
- Abstract
The data presented in this article is generated by a steady-state simulation for performing a techno-economic assessment for comparing three electrolysis technologies in the PtM context. The data is focused on two aspects. First, the description of the steady-state simulation of six PtM systems modeled using Aspen Custom Modeler (ACM) and Aspen Plus (AP). Second, an economic assessment is carried out for each of the mentioned PtM systems to compare the feasibility, the profitability and performance of these systems on a larger scale to produce synthetic natural gas, power generation and carbon utilization given in the main research article. Three electrolysis technologies (namely Alkaline Electrolysis - AE, Proton Exchange Membrane Electrolysis - PEME and Solid Oxide Electrolysis - SOE) were modeled having in mind two methane applications: a combined cycle for power generation and the syngas generation. In addition, on each PtM system is carried out an economic evaluation by calculating fixed capital investment (FCI) and manufacturing costs (MC)., (© 2024 The Authors.)
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- 2024
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24. Missing value imputation in a data matrix using the regularised singular value decomposition.
- Author
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Arciniegas-Alarcón S, García-Peña M, Krzanowski WJ, and Rengifo C
- Abstract
Some statistical analysis techniques may require complete data matrices, but a frequent problem in the construction of databases is the incomplete collection of information for different reasons. One option to tackle the problem is to estimate and impute the missing data. This paper describes a form of imputation that mixes regression with lower rank approximations. To improve the quality of the imputations, a generalisation is proposed that replaces the singular value decomposition (SVD) of the matrix with a regularised SVD in which the regularisation parameter is estimated by cross-validation. To evaluate the performance of the proposal, ten sets of real data from multienvironment trials were used. Missing values were created in each set at four percentages of missing not at random, and three criteria were then considered to investigate the effectiveness of the proposal. The results show that the regularised method proves very competitive when compared to the original method, beating it in several of the considered scenarios. As it is a very general system, its application can be extended to all multivariate data matrices. •The imputation method is modified through the inclusion of a stable and efficient computational algorithm that replaces the classical SVD least squares criterion by a penalised criterion. This penalty produces smoothed eigenvectors and eigenvalues that avoid overfitting problems, improving the performance of the method when the penalty is necessary. The size of the penalty can be determined by minimising one of the following criteria: the prediction errors, the Procrustes similarity statistic or the critical angles between subspaces of principal components., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2023 The Author(s).)
- Published
- 2023
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25. Xanthogranulomatous Endometritis: A Report of Two Cases.
- Author
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Silva-Rengifo C, Asencio A, and Salirrosas O
- Abstract
Xanthogranulomatous endometritis (XGE) or histiocytic endometritis is a chronic inflammatory pathology of rare presentation, characterized by an exaggerated inflammatory infiltrate that can mimic an endometrial carcinoma. We report two cases of this disease, one of them with a classic presentation of endometritis and the other one with a severe compromise in which the clinical presentation and imaging findings suggested a possible endometrial carcinoma. Knowledge of this unusual and rare pathology, including its etiopathogenesis, is important since it can be included in the differential diagnosis of endometrial carcinoma and, therefore, whenever it is found, to avoid excessive treatment., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2023, Silva-Rengifo et al.)
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- 2023
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26. Prediction of crossover recombination using parental genomes.
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Peñuela M, Riccio-Rengifo C, Finke J, Rocha C, Gkanogiannis A, Wing RA, and Lorieux M
- Subjects
- Humans, Genome, Chromosomes genetics, Homologous Recombination, Phenotype, Plant Breeding, Oryza genetics
- Abstract
Meiotic recombination is a crucial cellular process, being one of the major drivers of evolution and adaptation of species. In plant breeding, crossing is used to introduce genetic variation among individuals and populations. While different approaches to predict recombination rates for different species have been developed, they fail to estimate the outcome of crossings between two specific accessions. This paper builds on the hypothesis that chromosomal recombination correlates positively to a measure of sequence identity. It presents a model that uses sequence identity, combined with other features derived from a genome alignment (including the number of variants, inversions, absent bases, and CentO sequences) to predict local chromosomal recombination in rice. Model performance is validated in an inter-subspecific indica x japonica cross, using 212 recombinant inbred lines. Across chromosomes, an average correlation of about 0.8 between experimental and prediction rates is achieved. The proposed model, a characterization of the variation of the recombination rates along the chromosomes, can enable breeding programs to increase the chances of creating novel allele combinations and, more generally, to introduce new varieties with a collection of desirable traits. It can be part of a modern panel of tools that breeders can use to reduce costs and execution times of crossing experiments., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Peñuela et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
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- 2023
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27. Diagnostic implications of neuroimaging in epilepsy and other seizure disorders.
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Nieto-Salazar MA, Velasquez-Botero F, Toro-Velandia AC, Saldana-Rodriguez EA, Rodriguez-Rodriguez ME, Gupta A, Cheeti S, Huerta-Rengifo C, Pavón-Enamorado FR, Rodezno CMC, Medina PSD, De-Sario-Velasquez GDMS, Sah BK, Shaheen F, Shree A, and Sah RK
- Abstract
Epilepsy is the most common neurological disorder that affects ~1-2% of the global population, leading to presentation in the emergency room. The neuroimaging modalities have an important application in diagnosing new onset unprovoked seizures and epilepsy. This article discusses the various neuroimaging modalities for diagnosing seizures and epilepsy and addresses that the MRI is the investigation of choice, and urgent imaging is more commonly done by computed tomography in patients with new-onset seizures. The goal of the article was to diagnose seizures and epilepsy for early intervention to prevent complications or damage to the brain. MRI detects even small cortical epileptogenic lesions, whereas computed tomography is used in screening, diagnosis, evaluation, and monitoring of the prognosis of seizures in children. Magnetic resonance spectroscopy provides biochemical measurements of reduced N-acetyl aspartate and increased creatinine and choline in dysfunctioning epileptic zones. Volumetric MRI is very sensitive and specific in determining seizures originating in extratemporal and extrahippocampal sites. Even though diffusion tensor magnetic resonance imaging has a limited role, it is used in specific pediatric patient groups with temporal lobe epilepsy. Functional radionuclide imaging modalities (positron emission tomography and single-photon emission computerized tomography) are increasingly significant for the identification of the epileptic region. Furthermore, the authors recommend the use of artificial intelligence and further research on imaging modalities for early diagnosis of seizures and epilepsy., Competing Interests: The authors report no conflicts of interest., (© 2023 the Author(s). Published by Wolters Kluwer Health, Inc.)
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- 2023
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28. GOCompare: An R package to compare functional enrichment analysis between two species.
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Sosa CC, Clavijo-Buriticá DC, García-Merchán VH, López-Rozo N, Riccio-Rengifo C, Diaz MV, Londoño DA, and Quimbaya MA
- Subjects
- Genomics methods, Computational Biology methods, Algorithms, Gene Ontology, Aluminum, Arabidopsis genetics
- Abstract
Functional enrichment analysis is a cornerstone in bioinformatics as it makes possible to identify functional information by using a gene list as source. Different tools are available to compare gene ontology (GO) terms, based on a directed acyclic graph structure or content-based algorithms which are time-consuming and require a priori information of GO terms. Nevertheless, quantitative procedures to compare GO terms among gene lists and species are not available. Here we present a computational procedure, implemented in R, to infer functional information derived from comparative strategies. GOCompare provides a framework for functional comparative genomics starting from comparable lists from GO terms. The program uses functional enrichment analysis (FEA) results and implement graph theory to identify statistically relevant GO terms for both, GO categories and analyzed species. Thus, GOCompare allows finding new functional information complementing current FEA approaches and extending their use to a comparative perspective. To test our approach GO terms were obtained for a list of aluminum tolerance-associated genes in Oryza sativa subsp. japonica and their orthologues in Arabidopsis thaliana. GOCompare was able to detect functional similarities for reactive oxygen species and ion binding capabilities which are common in plants as molecular mechanisms to tolerate aluminum toxicity. Consequently, the R package exhibited a good performance when implemented in complex datasets, allowing to establish hypothesis that might explain a biological process from a functional perspective, and narrowing down the possible landscapes to design wet lab experiments., Competing Interests: Declaration of Competing Interest All authors declare no conflicts of interest., (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)
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- 2023
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29. Identifying stress responsive genes using overlapping communities in co-expression networks.
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Riccio-Rengifo C, Finke J, and Rocha C
- Subjects
- Genotype, Salt Tolerance, Sequence Analysis, RNA, Stress, Physiological genetics, Oryza genetics
- Abstract
Background: This paper proposes a workflow to identify genes that respond to specific treatments in plants. The workflow takes as input the RNA sequencing read counts and phenotypical data of different genotypes, measured under control and treatment conditions. It outputs a reduced group of genes marked as relevant for treatment response. Technically, the proposed approach is both a generalization and an extension of WGCNA. It aims to identify specific modules of overlapping communities underlying the co-expression network of genes. Module detection is achieved by using Hierarchical Link Clustering. The overlapping nature of the systems' regulatory domains that generate co-expression can be identified by such modules. LASSO regression is employed to analyze phenotypic responses of modules to treatment., Results: The workflow is applied to rice (Oryza sativa), a major food source known to be highly sensitive to salt stress. The workflow identifies 19 rice genes that seem relevant in the response to salt stress. They are distributed across 6 modules: 3 modules, each grouping together 3 genes, are associated to shoot K content; 2 modules of 3 genes are associated to shoot biomass; and 1 module of 4 genes is associated to root biomass. These genes represent target genes for the improvement of salinity tolerance in rice., Conclusions: A more effective framework to reduce the search-space for target genes that respond to a specific treatment is introduced. It facilitates experimental validation by restraining efforts to a smaller subset of genes of high potential relevance., (© 2021. The Author(s).)
- Published
- 2021
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30. Proposal of an open-source computational toolbox for solving PDEs in the context of chemical reaction engineering using FEniCS and complementary components.
- Author
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Ortiz-Laverde S, Rengifo C, Cobo M, and Figueredo M
- Abstract
In this contribution, an open-source computational toolbox composed of FEniCS and complementary packages is introduced to the chemical and process engineering field by addressing two case studies. First, the oxidation of o-xylene to phthalic anhydride is modelled and used as a FEniCS' proof-of-concept based on a comparison with the software Aspen Custom Modeler (ACM). The results show a maximum absolute error of 2% and thus a good FEniCS/ACM agreement. Second, synthetic natural gas (SNG) production through CO
2 methanation is covered in further detail. In this instance, a parametric study is performed for a tube bundle fixed-bed reactor employing a two-dimensional and transient pseudo-homogeneous model. An operating window for critical variables is evaluated, discussed, and successfully contrasted with the literature. Therefore, the computational toolbox methodology and the consistency of the results are validated, strengthening FEniCS and complements as an interesting alternative to solve mathematical models concerning chemical reaction engineering., Competing Interests: The authors declare no conflict of interest., (© 2020 Published by Elsevier Ltd.)- Published
- 2021
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