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18 results on '"Premnath S."'

1. Image restoration model using Jaya‐Bat optimization‐enabled noise prediction map

Author

Premnath S. P and J. Arokia Renjit

Subjects
Optical, image and video signal processing, Optimisation techniques, Computer vision and image processing techniques, Other topics in statistics, Photography, TR1-1050, Computer software, QA76.75-76.765
Abstract

Abstract Image restoration approaches are introduced to restore the latent clear images from the degraded images. However, the performance of the existing approaches remains an open problem, which may leads to the further development of advanced image restoration techniques. Therefore, an effective image restoration method is developed for restoring the input image from various noises, like impulse noise and random noise. The generation of pixel map, identification of noisy pixel, and the enhancement of pixel are the three major phases involved in the proposed method. Initially, the noisy pixel map generation is performed from the input image, and then the noisy pixels are identified based on deep convolutional neural network, which is trained by the proposed Jaya‐Bat algorithm. The Jaya‐Bat algorithm is developed by combing the Jaya optimization algorithm and Bat algorithm. Once the noisy pixels are identified, the pixel enhancement is done using the neuro fuzzy system. The experiment is carried out using Statlog (landsat satellite) dataset, and the developed method achieves the maximal peak signal to noise ratio of 51.03 dB, maximal structural similarity index of 0.848 for the image with random noise, and the maximal second derivative like measure of enhancement 62.96 dB with impulse noise, respectively.

Published
2021
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3. Defining core patient descriptors for perforated peptic ulcer research: International Delphi

Author

Lamidi, S, Williams, K, Hind, D, Peckham-Cooper, A, Miller, A, Smith, A, Saha, A, Macutkiewicz, C, Griffiths, E, Catena, F, Coccolini, F, Toogood, G, Tierney, G, Boyd-Carson, H, Sartelli, M, Blencowe, N, Lockwood, S, Coe, P, Lee, M, Barreto, S, Drake, T, Gachabayov, M, Hill, J, Ioannidis, O, Lostoridis, E, Mehraj, A, Negoi, I, Pata, F, Steenkamp, C, Ahmed, S, Alin, V, Al-Rashedy, M, Atici, S, Bains, L, Bandyopadhyay, S, Baraket, O, Bates, T, Beral, D, Brown, L, Buonomo, L, Burke, D, Caravaglios, G, Ceresoli, M, Chapman, S, Cillara, N, Clarke, R, Colak, E, Daniels, S, Demetrashvili, Z, Di Carlo, I, Duff, S, Dziakova, J, Elliott, J, El Zalabany, T, Engledow, A, Ewnte, B, Fraga, G, George, R, Giuffrida, M, Glasbey, J, Isik, A, Kechagias, A, Kenington, C, Kessel, B, Khokha, V, Kong, V, Laloe, P, Litvin, A, Marinis, A, Martinez-Perez, A, Menzies, D, Mills, R, Monzon, B, Morgan, R, Neri, V, Nita, G, Perra, T, Perrone, G, Porcu, A, Poskus, T, Premnath, S, Sall, I, Sarma, D, Slavchev, M, Spence, G, Tarasconi, A, Tolonen, M, Toro, A, Venn, M, Vimalachandran, D, Wheldon, L, Zakaria, A, Lamidi S., Williams K. M., Hind D., Peckham-Cooper A., Miller A. S., Smith A. M., Saha A., MacUtkiewicz C., Griffiths E. A., Catena F., Coccolini F., Toogood G., Tierney G. M., Boyd-Carson H., Sartelli M., Blencowe N. S., Lockwood S., Coe P. O., Lee M. J., Barreto S. G., Drake T., Gachabayov M., Hill J., Ioannidis O., Lostoridis E., Mehraj A., Negoi I., Pata F., Steenkamp C., Ahmed S., Alin V., Al-Rashedy M., Atici S. D., Bains L., Bandyopadhyay S. K., Baraket O., Bates T., Beral D., Brown L., Buonomo L., Burke D., Caravaglios G., Ceresoli M., Chapman S. J., Cillara N., Clarke R., Colak E., Daniels S., Demetrashvili Z., Di Carlo I., Duff S., Dziakova J., Elliott J. A., El Zalabany T., Engledow A., Ewnte B., Fraga G. P., George R., Giuffrida M., Glasbey J., Isik A., Kechagias A., Kenington C., Kessel B., Khokha V., Kong V., Laloe P., Litvin A., Marinis A., Martinez-Perez A., Menzies D., Mills R., Monzon B. I., Morgan R., Neri V., Nita G. E., Perra T., Perrone G., Porcu A., Poskus T., Premnath S., Sall I., Sarma D. R., Slavchev M., Spence G., Tarasconi A., Tolonen M., Toro A., Venn M. L., Vimalachandran D., Wheldon L., Zakaria A. D., Lamidi, S, Williams, K, Hind, D, Peckham-Cooper, A, Miller, A, Smith, A, Saha, A, Macutkiewicz, C, Griffiths, E, Catena, F, Coccolini, F, Toogood, G, Tierney, G, Boyd-Carson, H, Sartelli, M, Blencowe, N, Lockwood, S, Coe, P, Lee, M, Barreto, S, Drake, T, Gachabayov, M, Hill, J, Ioannidis, O, Lostoridis, E, Mehraj, A, Negoi, I, Pata, F, Steenkamp, C, Ahmed, S, Alin, V, Al-Rashedy, M, Atici, S, Bains, L, Bandyopadhyay, S, Baraket, O, Bates, T, Beral, D, Brown, L, Buonomo, L, Burke, D, Caravaglios, G, Ceresoli, M, Chapman, S, Cillara, N, Clarke, R, Colak, E, Daniels, S, Demetrashvili, Z, Di Carlo, I, Duff, S, Dziakova, J, Elliott, J, El Zalabany, T, Engledow, A, Ewnte, B, Fraga, G, George, R, Giuffrida, M, Glasbey, J, Isik, A, Kechagias, A, Kenington, C, Kessel, B, Khokha, V, Kong, V, Laloe, P, Litvin, A, Marinis, A, Martinez-Perez, A, Menzies, D, Mills, R, Monzon, B, Morgan, R, Neri, V, Nita, G, Perra, T, Perrone, G, Porcu, A, Poskus, T, Premnath, S, Sall, I, Sarma, D, Slavchev, M, Spence, G, Tarasconi, A, Tolonen, M, Toro, A, Venn, M, Vimalachandran, D, Wheldon, L, Zakaria, A, Lamidi S., Williams K. M., Hind D., Peckham-Cooper A., Miller A. S., Smith A. M., Saha A., MacUtkiewicz C., Griffiths E. A., Catena F., Coccolini F., Toogood G., Tierney G. M., Boyd-Carson H., Sartelli M., Blencowe N. S., Lockwood S., Coe P. O., Lee M. J., Barreto S. G., Drake T., Gachabayov M., Hill J., Ioannidis O., Lostoridis E., Mehraj A., Negoi I., Pata F., Steenkamp C., Ahmed S., Alin V., Al-Rashedy M., Atici S. D., Bains L., Bandyopadhyay S. K., Baraket O., Bates T., Beral D., Brown L., Buonomo L., Burke D., Caravaglios G., Ceresoli M., Chapman S. J., Cillara N., Clarke R., Colak E., Daniels S., Demetrashvili Z., Di Carlo I., Duff S., Dziakova J., Elliott J. A., El Zalabany T., Engledow A., Ewnte B., Fraga G. P., George R., Giuffrida M., Glasbey J., Isik A., Kechagias A., Kenington C., Kessel B., Khokha V., Kong V., Laloe P., Litvin A., Marinis A., Martinez-Perez A., Menzies D., Mills R., Monzon B. I., Morgan R., Neri V., Nita G. E., Perra T., Perrone G., Porcu A., Poskus T., Premnath S., Sall I., Sarma D. R., Slavchev M., Spence G., Tarasconi A., Tolonen M., Toro A., Venn M. L., Vimalachandran D., Wheldon L., and Zakaria A. D.

Abstract

Background: Perforated peptic ulcer (PPU) remains a common condition globally with significant morbidity and mortality. Previous work has demonstrated variation in reporting of patient characteristics in PPU studies, making comparison of studies and outcomes difficult. The aim of this study was to standardize the reporting of patient characteristics, by creating a core descriptor set (CDS) of important descriptors that should be consistently reported in PPU research. Methods: Candidate descriptors were identified through systematic review and stakeholder proposals. An international Delphi exercise involving three survey rounds was undertaken to obtain consensus on key patient characteristics for future research. Participants rated items on a scale of 1-9 with respect to their importance. Items meeting a predetermined threshold (rated 7-9 by over 70 per cent of stakeholders) were included in the final set and ratified at a consensus meeting. Feedback was provided between rounds to allow refinement of ratings. Results: Some 116 clinicians were recruited from 29 countries. A total of 63 descriptors were longlisted from the literature, and 27 were proposed by stakeholders. After three survey rounds and a consensus meeting, 27 descriptors were included in the CDS. These covered demographic variables and co-morbidities, risk factors for PPU, presentation and pathway factors, need for organ support, biochemical parameters, prognostic tools, perforation details, and surgical history. Conclusion: This study defines the core descriptive items for PPU research, which will allow more robust synthesis of studies.

Published
2022

4. Transaction Using Facial Authentication and Random PIN Generation

Author

null Dr Vanathi B, null Rex Peter G, null Premnath S, null Sunil Kumar S, and null Sakthevel B

Abstract

In this paper we are going to develop a robust automated web application for transacting money in higher level security purpose with high facial recognition. First we have to register our personal details with our face and pass the liveness detection test. Haar cascade-based algorithm has been applied for fast and simple face detection from the input image. The face image is then being converted into grayscale image. After that, the iris, eyebrows, nose, mouth of candidates are extracted from the intensity valleys from the detected face it will consider as datasets now our system can understand who are all authorized and unauthorized. While login our face will be recognized if we authorized will can move to authorized page else our system won’t allow to login. For higher security purpose we have used face recognition module. During the transaction our face will be recognized it will allow only the authorized account holder to transact a money, it doesn’t allow others to transact a money.

Published
2022
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6. Life Cycle Predictor of Lithium –Ion Battery Using Machine Learning for Electric Vehicles

Author

A K Boobalasenthilraj, Premnath S , Giridharan R, Solaiyappan S P, Nandagopal G

Subjects
Electric Vehicle, Lifecycle Prediction, Lithium-Ion battery, Machine Learning, Edge Impulse
Abstract

Growing usage of Electric Vehicle calls for the invention of new technologies to increase the effective utilization of the Electric Vehicle and battery technology. The battery is the soul of the electric vehicle, so proper utilization of the battery is very important. This project is decided to predict the Lifecycle of the Lithium Ion Battery with the help of Machine Learning Software. The aging of the battery will increase the operating costs, reduce the service life of the equipment, and affect the safe operation of the equipment. There is no ideal solution for the recycling of Li-ion batteries and it is not environmentally friendly. So, predicting the lifecycle of the battery plays a vital role. With the help of data driven linear regression process, the lifecycle is predicted in a shorter span of time than the conventional methods in practice. This is done with the help of Edge Impulse software which is a development platform for embedded machine learning. Predicting the lifecycle of a battery will be useful for battery manufacturers, people buying used batteries and to operators who own a large fleet of electric vehicles. By knowing the lifecycle of a battery, they can be effectively used for the required application.

Published
2023
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7. Defining core patient descriptors for perforated peptic ulcer research: International Delphi

Author

Lamidi S., Williams K. M., Hind D., Peckham-Cooper A., Miller A. S., Smith A. M., Saha A., MacUtkiewicz C., Griffiths E. A., Catena F., Coccolini F., Toogood G., Tierney G. M., Boyd-Carson H., Sartelli M., Blencowe N. S., Lockwood S., Coe P. O., Lee M. J., Barreto S. G., Drake T., Gachabayov M., Hill J., Ioannidis O., Lostoridis E., Mehraj A., Negoi I., Pata F., Steenkamp C., Ahmed S., Alin V., Al-Rashedy M., Atici S. D., Bains L., Bandyopadhyay S. K., Baraket O., Bates T., Beral D., Brown L., Buonomo L., Burke D., Caravaglios G., Ceresoli M., Chapman S. J., Cillara N., Clarke R., Colak E., Daniels S., Demetrashvili Z., Di Carlo I., Duff S., Dziakova J., Elliott J. A., El Zalabany T., Engledow A., Ewnte B., Fraga G. P., George R., Giuffrida M., Glasbey J., Isik A., Kechagias A., Kenington C., Kessel B., Khokha V., Kong V., Laloe P., Litvin A., Marinis A., Martinez-Perez A., Menzies D., Mills R., Monzon B. I., Morgan R., Neri V., Nita G. E., Perra T., Perrone G., Porcu A., Poskus T., Premnath S., Sall I., Sarma D. R., Slavchev M., Spence G., Tarasconi A., Tolonen M., Toro A., Venn M. L., Vimalachandran D., Wheldon L., Zakaria A. D., Lamidi, S, Williams, K, Hind, D, Peckham-Cooper, A, Miller, A, Smith, A, Saha, A, Macutkiewicz, C, Griffiths, E, Catena, F, Coccolini, F, Toogood, G, Tierney, G, Boyd-Carson, H, Sartelli, M, Blencowe, N, Lockwood, S, Coe, P, Lee, M, Barreto, S, Drake, T, Gachabayov, M, Hill, J, Ioannidis, O, Lostoridis, E, Mehraj, A, Negoi, I, Pata, F, Steenkamp, C, Ahmed, S, Alin, V, Al-Rashedy, M, Atici, S, Bains, L, Bandyopadhyay, S, Baraket, O, Bates, T, Beral, D, Brown, L, Buonomo, L, Burke, D, Caravaglios, G, Ceresoli, M, Chapman, S, Cillara, N, Clarke, R, Colak, E, Daniels, S, Demetrashvili, Z, Di Carlo, I, Duff, S, Dziakova, J, Elliott, J, El Zalabany, T, Engledow, A, Ewnte, B, Fraga, G, George, R, Giuffrida, M, Glasbey, J, Isik, A, Kechagias, A, Kenington, C, Kessel, B, Khokha, V, Kong, V, Laloe, P, Litvin, A, Marinis, A, Martinez-Perez, A, Menzies, D, Mills, R, Monzon, B, Morgan, R, Neri, V, Nita, G, Perra, T, Perrone, G, Porcu, A, Poskus, T, Premnath, S, Sall, I, Sarma, D, Slavchev, M, Spence, G, Tarasconi, A, Tolonen, M, Toro, A, Venn, M, Vimalachandran, D, Wheldon, L, and Zakaria, A

Subjects
Consensus, Treatment Outcome, Delphi Technique, Research Design, Risk Factors, Surveys and Questionnaires, Peptic Ulcer Perforation, Humans, Surgery, Prognosis, peptic ulcer
Abstract

Background Perforated peptic ulcer (PPU) remains a common condition globally with significant morbidity and mortality. Previous work has demonstrated variation in reporting of patient characteristics in PPU studies, making comparison of studies and outcomes difficult. The aim of this study was to standardize the reporting of patient characteristics, by creating a core descriptor set (CDS) of important descriptors that should be consistently reported in PPU research. Methods Candidate descriptors were identified through systematic review and stakeholder proposals. An international Delphi exercise involving three survey rounds was undertaken to obtain consensus on key patient characteristics for future research. Participants rated items on a scale of 1–9 with respect to their importance. Items meeting a predetermined threshold (rated 7–9 by over 70 per cent of stakeholders) were included in the final set and ratified at a consensus meeting. Feedback was provided between rounds to allow refinement of ratings. Results Some 116 clinicians were recruited from 29 countries. A total of 63 descriptors were longlisted from the literature, and 27 were proposed by stakeholders. After three survey rounds and a consensus meeting, 27 descriptors were included in the CDS. These covered demographic variables and co-morbidities, risk factors for PPU, presentation and pathway factors, need for organ support, biochemical parameters, prognostic tools, perforation details, and surgical history. Conclusion This study defines the core descriptive items for PPU research, which will allow more robust synthesis of studies.

Published
2022

8. Effects of Principal Strain Direction and Intermediate Principal Strain on Undrained Shear Behavior of Sand.

Author

Premnath, S., Pouragha, M., Prasanna, R., and Sivathayalan, S.

Subjects
*STRAINS & stresses (Mechanics), *SHEAR strain, *STRAIN hardening, *SOIL granularity, *SAND
Abstract

Anisotropic characteristics of granular soil consolidated to various initial stress states were evaluated under generalized strain paths using hollow cylinder torsional shear tests. Fraser River sand samples prepared by water pluviation were subjected to isotropic and anisotropic consolidation stresses, and sheared undrained along strain paths with constant intermediate principal strain parameter and various principal strain directions. Anisotropic stress response and stress-strain trends were examined by controlling the orientation of principal strains (αε) with respect to the depositional axis. A decrease in strain hardening tendency is observed as the major principal strain rotates towards the bedding plane. Considering different levels of anisotropic consolidation stresses also allowed a detailed examination of how initial static shear affects the responses. In particular, generated principal stresses and their directions, as well as the pore pressure responses, were closely examined. Novel findings are presented on the range of intermediate principal stress parameters (bσ) associated with the undrained plane strain condition where a value of bσ in the range of 0.2–0.4 was found to correspond to plane strain conditions. [ABSTRACT FROM AUTHOR]

Published
2023
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13. Global impact of the first coronavirus disease 2019 (COVID-19) pandemic wave on vascular services

Author

Benson, R. A., Sudarsanam, A., Tam, A., Beck, A. W., Barkat, A., Bajwa, A., Elbasty, A., Awopetu, A. I., Kodama, A., Rivera, A. G., Munoz, A., Saltiel, A., Russo, A., Rolls, A., Kafetzakis, A., Kimyaghalam, A., Kordzadeh, A., Shepherd, A., Singh, A., Mingoli, A., Lazaris, A. M., Isaak, A., Marin, A., Valdivia, A. R., Batchelder, A., Duncan, A., Argyriou, A., Jaipersad, A. S., Freyrie, A., Pereira-Neves, A., Mahomed, A., Isik, A., Jawien, A., Choudhry, A. J., Sivaharan, A., Giannoukas, A., Papaioannou, A., Saratzis, A., Abbas, A., Christos, B., Akkaya, B. B., Huasen, B., Patrice, B., Mwipatayi, Azhar, B., Keldiyorov, B., Ullery, B. W., Pratesi, C., Hinojosa, C. A., Bechara, C. F., Parra, C. S., Alexandros, C., Bezard, C., Lee, C. J., Davies, C., Behrendt, C. -A., Lowe, C., Karkos, C. D., Yih, C. L. P., Mcdonnell, C., Ordonez, C., Nesbitt, C., Alexander, C., Guglielmone, D., Doherty, D. T., Riding, D. M., Esposito, D., Harkin, D., Lui, D. H., Kamal, D. M., Telve, D., Theodosiou, D., Angiletta, D., Jacobs, D., Choke, E., Gifford, E. D., Beropoulis, E., Lostoridis, E., Atkins, E., Giacomelli, E., Tsolaki, E., Davies, E., Scott, E., Katsogridakis, E., Serrano, E., Unal, E. U., Lopez, E., Mpaili, E., Minelli, Fabrizio, Malekpour, F., Mousa, F., Meyer, F., Tobar, F., Filipa, J., Johansson, F. G., Weaver, F., Proano, G. A. B., Sidel, G., Kuhan, G., Lemmon, G., Antoniou, G. A., Papadopoulos, G., Pitoulias, G., Sotirios, G., Victoria, G., Frahm-Jensen, G., Tinelli, Giovanni, Asciutto, G., Zenunaj, G., Eduardo, G. V. C., Pullas, G., Oszkinis, G., Popov, G., Iscan, H. Z., Travers, H. C., Barakat, H., Mavioglu, H. L., Chetter, I., Loftus, I., Dodos, I., Asghar, I., Van Herzeele, I., Giordano, J., Cragg, J., Chuen, J., Orrego, J. D. C., Perkins, J., Rocha-Neves, J., Ulloa, J. H., Chavez, J. A., Vidoedo, J., Faraj, J., Mills, J., Varela, J., Ng, J. J., Schmidli, J., Kiriaki, K., Powezka, K., Bowser, K., Darvall, K., Mccune, K., Pasenidou, K., Corless, K., Mckevitt, K., Long, K. N., Moulakakis, K. G., Roditis, K., Stavroulakis, K., Tigkiropoulos, K., Mannoia, K., Abayasekara, K., Jayakumar, L., Wijesinghe, L., Drudi, L., Shelmerdine, L., O'Banion, L. A., Meecham, L., Bennett, L. F., Grillo, L., Green, L., Wales, L., Loureiro, L., Palena, L. M., Tolba, M. M. H., Khashram, M., Chana, M., Pabon, M., Gonzalez, M., Usai, M. V., Tarazona, M., Ruffino, M. A., Castelli, M., Benezit, M., Dias-Neto, M., Malina, M., Maresch, M., Mazzurco, M., Storck, M., Troncoso, M. V., Popplewell, M., Tozzi, M., Metcalfe, M., Laine, M., Rawhi, M., Ricardo, M., Goh, M. A., Ahmed, M. A., Ibrahim, M., Alomari, M., Almudhafer, M., Elhadi, M., Gunawansa, N., Hadjievangelou, N., Hasemaki, N., Shafique, N., Aranson, N., Bradley, N., Mouawad, N. J., Rich, N. C., Floros, N., Patelis, N., Saratzis, N., Tsilimparis, N., Salinas, N., Altaf, N., Friedrich, O., Lyons, O., Mcbride, O. M. B., Ioannidis, O., Falah, O., Theodoridis, P., Sapienza, P., Tsiantoula, P., Chong, P., Coughlin, P., Bevis, P., Carrera, P., Dunlop, P., Wong, P. F., Albino, P., Rossi, P., Nana, P., Stather, P. W., Lapolla, P., Silveira, P. G., Saha, P., Somaiya, P., Pian, P. M., Morley, R. L., Bell, R., Ennab, R. M., Malgor, R., Pulli, R., Makar, R., Sekhar, R., Afifi, R., Coscas, R., Soler, R., Cuff, R. F., Diaz, R., Biagioni, R., Ramely, R. B., Carvajal, R. R., Jhajj, S., Edeiken, S., Benites, S., Zaca, S., Paravastu, S., Chan, S., Sheth, S., Shalhub, S., Dindyal, S., Banegas, S., Hardy, S., Sica, Simona, Tam, S. C., Premnath, S., Renton, S., Rajagopalan, S., Kyriakos, S., Kakkos, S., Ancetti, S., Elkouri, S., Lin, S., Cheng, S. W. K., Koutsias, S. G., Grainger, T., Fekry, T., Tantawy, T. G., Siddiqui, T., Oshodi, T., Akhtar, T., Hardy, T. J., Kotsis, T., Gooneratne, T., Rowlands, T., Cohnert, T. U., Wallace, T., Lane, T. R. A., Bracale, U. M., Cheema, U., Sadia, U., Rubio, V., Canata, V., Jongkind, V., Khetarpaul, V., Summerour, V., Dorigo, W., Al-Jundi, W., Luo, X., Tshomba, Yamume, Serra, Y. G., Minelli F., Tinelli G. (ORCID:0000-0002-2212-3226), Sica S., Tshomba Y. (ORCID:0000-0001-7304-7553), Benson, R. A., Sudarsanam, A., Tam, A., Beck, A. W., Barkat, A., Bajwa, A., Elbasty, A., Awopetu, A. I., Kodama, A., Rivera, A. G., Munoz, A., Saltiel, A., Russo, A., Rolls, A., Kafetzakis, A., Kimyaghalam, A., Kordzadeh, A., Shepherd, A., Singh, A., Mingoli, A., Lazaris, A. M., Isaak, A., Marin, A., Valdivia, A. R., Batchelder, A., Duncan, A., Argyriou, A., Jaipersad, A. S., Freyrie, A., Pereira-Neves, A., Mahomed, A., Isik, A., Jawien, A., Choudhry, A. J., Sivaharan, A., Giannoukas, A., Papaioannou, A., Saratzis, A., Abbas, A., Christos, B., Akkaya, B. B., Huasen, B., Patrice, B., Mwipatayi, Azhar, B., Keldiyorov, B., Ullery, B. W., Pratesi, C., Hinojosa, C. A., Bechara, C. F., Parra, C. S., Alexandros, C., Bezard, C., Lee, C. J., Davies, C., Behrendt, C. -A., Lowe, C., Karkos, C. D., Yih, C. L. P., Mcdonnell, C., Ordonez, C., Nesbitt, C., Alexander, C., Guglielmone, D., Doherty, D. T., Riding, D. M., Esposito, D., Harkin, D., Lui, D. H., Kamal, D. M., Telve, D., Theodosiou, D., Angiletta, D., Jacobs, D., Choke, E., Gifford, E. D., Beropoulis, E., Lostoridis, E., Atkins, E., Giacomelli, E., Tsolaki, E., Davies, E., Scott, E., Katsogridakis, E., Serrano, E., Unal, E. U., Lopez, E., Mpaili, E., Minelli, Fabrizio, Malekpour, F., Mousa, F., Meyer, F., Tobar, F., Filipa, J., Johansson, F. G., Weaver, F., Proano, G. A. B., Sidel, G., Kuhan, G., Lemmon, G., Antoniou, G. A., Papadopoulos, G., Pitoulias, G., Sotirios, G., Victoria, G., Frahm-Jensen, G., Tinelli, Giovanni, Asciutto, G., Zenunaj, G., Eduardo, G. V. C., Pullas, G., Oszkinis, G., Popov, G., Iscan, H. Z., Travers, H. C., Barakat, H., Mavioglu, H. L., Chetter, I., Loftus, I., Dodos, I., Asghar, I., Van Herzeele, I., Giordano, J., Cragg, J., Chuen, J., Orrego, J. D. C., Perkins, J., Rocha-Neves, J., Ulloa, J. H., Chavez, J. A., Vidoedo, J., Faraj, J., Mills, J., Varela, J., Ng, J. J., Schmidli, J., Kiriaki, K., Powezka, K., Bowser, K., Darvall, K., Mccune, K., Pasenidou, K., Corless, K., Mckevitt, K., Long, K. N., Moulakakis, K. G., Roditis, K., Stavroulakis, K., Tigkiropoulos, K., Mannoia, K., Abayasekara, K., Jayakumar, L., Wijesinghe, L., Drudi, L., Shelmerdine, L., O'Banion, L. A., Meecham, L., Bennett, L. F., Grillo, L., Green, L., Wales, L., Loureiro, L., Palena, L. M., Tolba, M. M. H., Khashram, M., Chana, M., Pabon, M., Gonzalez, M., Usai, M. V., Tarazona, M., Ruffino, M. A., Castelli, M., Benezit, M., Dias-Neto, M., Malina, M., Maresch, M., Mazzurco, M., Storck, M., Troncoso, M. V., Popplewell, M., Tozzi, M., Metcalfe, M., Laine, M., Rawhi, M., Ricardo, M., Goh, M. A., Ahmed, M. A., Ibrahim, M., Alomari, M., Almudhafer, M., Elhadi, M., Gunawansa, N., Hadjievangelou, N., Hasemaki, N., Shafique, N., Aranson, N., Bradley, N., Mouawad, N. J., Rich, N. C., Floros, N., Patelis, N., Saratzis, N., Tsilimparis, N., Salinas, N., Altaf, N., Friedrich, O., Lyons, O., Mcbride, O. M. B., Ioannidis, O., Falah, O., Theodoridis, P., Sapienza, P., Tsiantoula, P., Chong, P., Coughlin, P., Bevis, P., Carrera, P., Dunlop, P., Wong, P. F., Albino, P., Rossi, P., Nana, P., Stather, P. W., Lapolla, P., Silveira, P. G., Saha, P., Somaiya, P., Pian, P. M., Morley, R. L., Bell, R., Ennab, R. M., Malgor, R., Pulli, R., Makar, R., Sekhar, R., Afifi, R., Coscas, R., Soler, R., Cuff, R. F., Diaz, R., Biagioni, R., Ramely, R. B., Carvajal, R. R., Jhajj, S., Edeiken, S., Benites, S., Zaca, S., Paravastu, S., Chan, S., Sheth, S., Shalhub, S., Dindyal, S., Banegas, S., Hardy, S., Sica, Simona, Tam, S. C., Premnath, S., Renton, S., Rajagopalan, S., Kyriakos, S., Kakkos, S., Ancetti, S., Elkouri, S., Lin, S., Cheng, S. W. K., Koutsias, S. G., Grainger, T., Fekry, T., Tantawy, T. G., Siddiqui, T., Oshodi, T., Akhtar, T., Hardy, T. J., Kotsis, T., Gooneratne, T., Rowlands, T., Cohnert, T. U., Wallace, T., Lane, T. R. A., Bracale, U. M., Cheema, U., Sadia, U., Rubio, V., Canata, V., Jongkind, V., Khetarpaul, V., Summerour, V., Dorigo, W., Al-Jundi, W., Luo, X., Tshomba, Yamume, Serra, Y. G., Minelli F., Tinelli G. (ORCID:0000-0002-2212-3226), Sica S., and Tshomba Y. (ORCID:0000-0001-7304-7553)

Abstract

This online structured survey has demonstrated the global impact of the COVID-19 pandemic on vascular services. The majority of centres have documented marked reductions in operating and services provided to vascular patients. In the months during recovery from the resource restrictions imposed during the pandemic peaks, there will be a significant vascular disease burden awaiting surgeons. One of the most affected specialties

Published
2020

15. Escalation of Antithrombotic Therapy Should Be Considered in the Presence of Intraluminal Prosthetic Graft Thrombus Following Endovascular Aneurysm Repair.

Author

Russell TA, Premnath S, Mogan M, Langford G, Paice B, Kirk J, Rowlands T, and Kuhan G

Abstract

Objectives: Intraluminal prosthetic graft thrombus (IPT) following Endovascular Aneurysm Repair (EVAR) can have serious consequences. The aim of this study was to assess the prevalence of IPT and to identify the risk factors for its formation and progression., Methods: This was a retrospective study of 258 patients who had EVAR between 2015 and 2018. Demographic data, comorbidities, operative data, antithrombotic therapy, CT anatomical data, IPT characteristics (site, regression, and progression), and re-interventions were collected. Univariable analysis followed by multivariable logistic regression and Cox regression were used for data analysis., Results: The mean age of patients was 76 years (range 55-95) and 27 (10.5 %) were females. IPT was present in 26 patients (10.1%) with a median time to occurrence of six (range 1- - 24) months. Of the group that developed IPT, six (23.1 %) developed symptoms and two (7.7%) had re-interventions. Multivariable logistic regression analysis revealed peripheral arterial disease to be associated with the formation of IPT (OR 7.4, 95% CI 1.6-35.3, p = 0.02) and escalation of antithrombotic therapy was associated with regression or prevention of progression of IPT (OR 0.1, 95% CI 0.0-0.6, p = 0.01)., Conclusion: PAD is associated with the formation of IPT after EVAR and warrants consideration of escalation of antithrombotic therapy to prevent further progression and complications., (© 2022 The Author(s).)

Published
2022
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16. Pediatric maxillofacial and dental trauma: A retrospective review of pediatric emergency management in Riyadh, Kingdom of Saudi Arabia.

Author

Shehri SZA, Ababtain RA, Fotawi RA, Alkindi M, Premnath S, Alhindi M, and Divakar DD

Abstract

Background: Due to the high prevalence of oral and maxillofacial (OMF) trauma in city of Riyadh, a special focus on pediatric trauma is needed. The purpose of this audit was to assess the protocol followed by the OMF unit at King Khalid University Hospital (KKUH) on pediatric trauma patients. The trauma incidence, mechanism of injury, volume, the type of pediatric trauma operated and dental management were analyzed., Materials and Methods: A quantitative retrospective review of 223 patients, at pediatric emergency unit of KKUH, Riyadh, KSA from January 2017 to July 2018, was done. The data retrieved included variables such as, age, gender, and cause of injury, site of injury, type of injury, and assessment of jaws, and teeth. Data regarding the type of investigations, treatment protocol, follow up visit, and dental management, were extracted from the medical records., Results: Of the 223 pediatric patients presenting to the emergency unit, 116 (52%) were under the age of 5 years. A total of 64.4% of patients reported "self-fall" as the cause of injury. Soft-tissue injuries were common in 63 (56.8%) of patients in the form of lacerations 87 (41.2%). Involvement of the teeth in the injury was observed in 57 patients, in which 33 (57.9%) patients were reported to have tooth/teeth avulsions, 15 (26.3%) patients had luxation and 9 (15.8%) patients had crown fractures. 27 (47%) patients were referred to the pedodontist for a follow-up visit., Conclusions: It can concluded that clinicians facing maxillofacial trauma in an emergency department need to have access to useful and practice guidelines. The study also showed the need for more manpower-oriented training such as a pedodontist and a general dentist to join the OMFS team to manage pediatric patients. The regional referral hospitals should be equipped to decentralize the management of these patients to the Dental University Hospital., Competing Interests: The authors declared that there is no conflict of interest., (© 2021 The Authors.)

Published
2021
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17. The Association Between Coffee Consumption and Local Anesthesia Failure: Social Beliefs and Scientific Evidence.

Author

Premnath S, Alalshaikh G, Alfotawi R, and Philip M

Abstract

Introduction In our clinical practice, we have encountered patients who reported the failure of local anesthesia due to excessive coffee consumption and required higher-than-normal doses of local anesthesia. Therefore, our study aimed to assess the awareness and knowledge of coffee consumption, its effect on local anesthesia, and the available scientific evidence among the public, patients, and clinicians in dental practice.  Material and Methods A cross-sectional survey with two sets of questionnaires was designed based on the Likert scale. A 5-point scale was used to assess agreement and frequency. Yes/no and open-ended questions were used for the assessment. Questionnaires were distributed among the clinicians, patients, and the public. Data were analyzed with descriptive linear statistics. Results Of the 430 responses provided by patients and the general public, more than 40% believed that the local anesthetic failure was caused by excessive coffee consumption. Among the 235 responses provided by the clinicians, 65% of the clinicians reported encountering patients with local anesthesia failure and believed it could be due to excessive coffee consumption. However, only 9% of the clinicians were aware of scientific evidence regarding the effect of coffee consumption on local anesthesia failure.  Conclusion Surprisingly, the majority of clinicians believed that caffeine had an effect on the reduction of local anesthesia; however, only a few of them had scientific knowledge. The available scientific evidence relates that caffeine can influence cognitive performance by increasing alertness, as well as sleep deprivation causing stress and anxiety, which partially explains the local anesthetic failure among coffee consumers. Therefore, a stress reduction protocol should be a routine daily practice for a dentist to reduce the failure rate of local anesthesia., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2020, Premnath et al.)

Published
2020
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18. A Novel assessment tool monitoring the level of patient anxiety during third molar surgery procedure.

Author

Alfotawi R, Alhowikan A, Alfadhel A, Premnath S, Tawhari J, Alhamid A, and Bahammam S

Abstract

The authors hypothesized that an audio-visual presentation providing information regarding the removal of an impacted mandibular third molar would reduce patient anxiety., Aim& Objectives: A clinical trial was performed to assess the level of patient anxiety during third molar surgery by using a new induction program and comparing the results amongst two groups that were the verbally informed and the audio-visual informed groups., Materials and Methods: the clinical trial included the patients who required surgical removal of an impacted third molar and fulfilled the predetermined criteria. The patients were divided into two groups - group 1 (no. = 20) the audio visual informed group and group 2(no. = 20) the verbally informed group. For both the groups the HR was recorded beat by beat using HR sensor (polar H1 UK) connected to an ActiGraph WGT3X- 3T USA. Also the modified dental analogue scale(MDAS) was used to subjectively record the anxiety during the surgery., Results: The HR reading were statistically significant for the following surgical stages; drilling, suturing and upon leaving the clinic. The audio-visual informed group had lower self-reported anxiety scores than did the verbally informed group., Conclusion: These results suggested that providing an audio-visual presentation about the surgical procedures in our routine clinical practice could aid in alleviating anxiety which would thereby reduce surgical complications., (© 2019 The Authors.)

Published
2019
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