The Experts below are selected from a list of 57327 Experts worldwide ranked by ideXlab platform
Yutaka Matsuyama - One of the best experts on this subject based on the ideXlab platform.
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High-volume surgeons in regard to reductions in Operating Time, blood loss, and postoperative complications for total hip arthroplasty
Journal of Orthopaedic Science, 2020Co-Authors: Hideo Yasunaga, Kazuaki Tsuchiya, Yutaka MatsuyamaAbstract:Background The purpose of this study was to clarify the volume-outcome relations for total hip arthroplasty, with a particular focus on outcome variables such as Operating Time, blood loss, and postoperative complications.
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High-volume surgeons in regard to reductions in Operating Time, blood loss, and postoperative complications for total hip arthroplasty.
Journal of Orthopaedic Science, 2009Co-Authors: Hideo Yasunaga, Kazuaki Tsuchiya, Yutaka MatsuyamaAbstract:Abstract Background. The purpose of this study was to clarify the volume-outcome relations for total hip arthroplasty, with a particular focus on outcome variables such as Operating Time, blood loss, and postoperative complications. Methods. Using an Internet-based questionnaire survey, we identified 2965 total hip arthroplasties performed for osteoarthritis, idiopathic osteonecrosis of the femoral head, rheumatoid arthritis, or hip fractures in 289 hospitals in Japan during the period from November 1, 2006, to March 31, 2007. We examined the hospital and surgeon volumes, patient characteristics (age, sex, body mass index, diagnosis, drug history, co-morbid conditions), details of the surgical procedures, and outcome variables (Operating Time, blood loss, postoperative complications). Multivariate regression analyses were used to examine the relations between the outcome variables and hospital/surgeon volumes, adjusting for patient characteristics and surgical details. Results. The average Operating Time was 114 ± 62 min. The average blood loss was 429 ± 347 ml. The postoperative complication rate was 6.1%. Surgeon volume (≥ 500 cases) was inversely associated with Operating Time (odds ratio 0.20; P P = 0.02), and postoperative complications (odds ratio 0.53; P = 0.01). Hospital volume was not significantly associated with any of the outcome variables examined. Conclusions. The present study indicates that surgeon volume is a significant predictor of better outcomes after total hip arthroplasty.
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Analysis of factors affecting Operating Time, postoperative complications, and length of stay for total knee arthroplasty: nationwide web-based survey
Journal of Orthopaedic Science, 2009Co-Authors: Hideo Yasunaga, Kazuaki Tsuchiya, Yutaka MatsuyamaAbstract:Background This study aimed to clarify the impact of various factors on the Operating Time, postoperative complications, and length of stay (LOS) after total knee arthroplasty (TKA).
Hideo Yasunaga - One of the best experts on this subject based on the ideXlab platform.
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High-volume surgeons in regard to reductions in Operating Time, blood loss, and postoperative complications for total hip arthroplasty
Journal of Orthopaedic Science, 2020Co-Authors: Hideo Yasunaga, Kazuaki Tsuchiya, Yutaka MatsuyamaAbstract:Background The purpose of this study was to clarify the volume-outcome relations for total hip arthroplasty, with a particular focus on outcome variables such as Operating Time, blood loss, and postoperative complications.
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High-volume surgeons in regard to reductions in Operating Time, blood loss, and postoperative complications for total hip arthroplasty.
Journal of Orthopaedic Science, 2009Co-Authors: Hideo Yasunaga, Kazuaki Tsuchiya, Yutaka MatsuyamaAbstract:Abstract Background. The purpose of this study was to clarify the volume-outcome relations for total hip arthroplasty, with a particular focus on outcome variables such as Operating Time, blood loss, and postoperative complications. Methods. Using an Internet-based questionnaire survey, we identified 2965 total hip arthroplasties performed for osteoarthritis, idiopathic osteonecrosis of the femoral head, rheumatoid arthritis, or hip fractures in 289 hospitals in Japan during the period from November 1, 2006, to March 31, 2007. We examined the hospital and surgeon volumes, patient characteristics (age, sex, body mass index, diagnosis, drug history, co-morbid conditions), details of the surgical procedures, and outcome variables (Operating Time, blood loss, postoperative complications). Multivariate regression analyses were used to examine the relations between the outcome variables and hospital/surgeon volumes, adjusting for patient characteristics and surgical details. Results. The average Operating Time was 114 ± 62 min. The average blood loss was 429 ± 347 ml. The postoperative complication rate was 6.1%. Surgeon volume (≥ 500 cases) was inversely associated with Operating Time (odds ratio 0.20; P P = 0.02), and postoperative complications (odds ratio 0.53; P = 0.01). Hospital volume was not significantly associated with any of the outcome variables examined. Conclusions. The present study indicates that surgeon volume is a significant predictor of better outcomes after total hip arthroplasty.
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Analysis of factors affecting Operating Time, postoperative complications, and length of stay for total knee arthroplasty: nationwide web-based survey
Journal of Orthopaedic Science, 2009Co-Authors: Hideo Yasunaga, Kazuaki Tsuchiya, Yutaka MatsuyamaAbstract:Background This study aimed to clarify the impact of various factors on the Operating Time, postoperative complications, and length of stay (LOS) after total knee arthroplasty (TKA).
Christopher Pearce - One of the best experts on this subject based on the ideXlab platform.
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prospective experimental study The use of individually wrapped presterilized small orthopaedic implants increase Operating Time: a
2020Co-Authors: Yasmeen Khan, Szymon Tokarczyk, Imran Khan, Kyriacos Eleftheriou, Christopher PearceAbstract:SummaryObjective There have been concerns about the potential increasesin Operating Time associated with the use of individually wrappedpresterilized small orthopaedic implants compared with our traditionalmethod of screw banks. We set out to quantify this theory.Design Prospective experimental study.Setting Theatre.Participants Orthopaedic Surgical Trainees and Theatre Scrub team.Main outcome measure The Time taken to complete the operation.Results The use of prepacked and sterilized implants added 2 min 56 sto the use of a bank with afull complement of normal screwsthat requiredtapping and 3 min 58 s if self-tapping screws were used (P
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presterilized small orthopaedic implants increase Operating Time: a prospective experimental study
2020Co-Authors: Yasmeen Khan, Szymon Tokarczyk, Imran Khan, Kyriacos Eleftheriou, Christopher PearceAbstract:Summary Objective There have been concerns about the potential increases in Operating Time associated with the use of individually wrapped presterilized small orthopaedic implants compared with our traditional method of screw banks. We set out to quantify this theory. Design Prospective experimental study. Setting Theatre. Participants Orthopaedic Surgical Trainees and Theatre Scrub team. Main outcome measure The Time taken to complete the operation. Results The use of prepacked and sterilized implants added 2 min 56 s to the use of a bank with a full complement of normal screws that required tapping and 3 min 58 s if self-tapping screws were used (P
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The use of individually wrapped presterilized small orthopaedic implants increase Operating Time: a prospective experimental study.
Jrsm Short Reports, 2013Co-Authors: Yasmeen Khan, Szymon Tokarczyk, Imran Khan, Kyriacos Eleftheriou, Christopher PearceAbstract:ObjectiveThere have been concerns about the potential increases in Operating Time associated with the use of individually wrapped presterilized small orthopaedic implants compared with our traditional method of screw banks. We set out to quantify this theory.DesignProspective experimental study.SettingTheatre.ParticipantsOrthopaedic Surgical Trainees and Theatre Scrub team.Main outcome measureThe Time taken to complete the operation.ResultsThe use of prepacked and sterilized implants added 2 min 56 s to the use of a bank with a full complement of normal screws that required tapping and 3 min 58 s if self-tapping screws were used (P < 0.001).ConclusionUsing individually wrapped presterilized small orthopaedic implants increases Operating Time.
Mohamed A. A. Wahab - One of the best experts on this subject based on the ideXlab platform.
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Artificial neural network and non-linear models for prediction of transformer oil residual Operating Time
Electric Power Systems Research, 2020Co-Authors: Mohamed A. A. Wahab, Mohamed Hamada, Ahmed MohamedAbstract:Abstract This paper presents two modeling techniques for the prediction and monitoring of the characteristics of transformer oil. The first employs artificial neural network (ANN) and the second employs non-linear modeling (nlm). The proposed techniques are implemented for predicting the transformer oil residual Operating Time ( t rot ) which is defined as the service period after which the breakdown voltage (BDV) violates the limits given in the standard specifications. The selection of the most influential characteristics on residual Operating Time ( t rot ) in the proposed techniques is obtained by statistical analysis. The non-linear model depends on linear combination of non-linear functions for each characteristic. The ANN technique for modeling these characteristics preserves the non-linear relationship between these characteristics and ( t rot ). The results are compared with previously published modeling techniques namely multiple linear regression and polynomial regression models. Different evaluation indices have been used to justify the superiority of the proposed modeling techniques for predicting ( t rot ).
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A new non-linear model for transformer oil residual Operating Time
2008 12th International Middle-East Power System Conference, 2008Co-Authors: Mohamed A. A. Wahab, M.m. Hamada, Ahmed A. A. El-tallawy, G. IsmailAbstract:The purpose of this paper is to implement non-linear multivariable regression technique (nlm) for the prediction of the residual Operating Time (ROT) of the transformer oil characteristics. This technique depends on non-linear models for each transformer oil characteristic and linear combination of these non-linear models. The characteristics under study are the oil breakdown voltage, total acidity and water content. The proposed technique has proved its accuracy and applicability by justifying the oil characteristics which have a strong impact on ROT and by giving more accurate predicted results than those obtained by previous modeling techniques.
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Novel modelling of residual Operating Time of transformer oil
European Transactions on Electrical Power, 2003Co-Authors: Mohamed A. A. Wahab, M.m. Hamada, A.g. Zeitoun, G. IsmailAbstract:This paper presents techniques developed to accurately model the characteristics of transformer oil for the purpose of predicting the effect of aging on these characteristics. Aging causes some of the transformer oil characteristics to violate the internationally specified limits. The purpose of this simulation is to develop alternative techniques to predict the Operating Time after which these characteristics would violate the limits. The results obtained from monitoring of twenty in-service power transformers for long period of Operating Time up to ten years have been implemented in developing the proposed models. The physical, chemical and electrical characteristics have been determined periodically by internationally specified testing methods. The patterns of violation sequence of the standard limits, against Operating Time, by different transformer oil characteristics have been revealed and the most common pattern has been determined. The definition of residual Operating Time (t rot ) of the different transformer oil characteristics has been introduced. The choice of transformer oil breakdown voltage trot to represent that of the transformer oil characteristics has been justified. Modelling of trot as a function of transformer oil breakdown voltage, total acidity and water content by multiple-linear regression has been proposed and verified. Also, polynomial regression model of t rot as a function only of transformer oil breakdown voltage has been given. The accuracy and applicability of these models and the different modelling techniques have been discussed and proved.
G. Ismail - One of the best experts on this subject based on the ideXlab platform.
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A new non-linear model for transformer oil residual Operating Time
2008 12th International Middle-East Power System Conference, 2008Co-Authors: Mohamed A. A. Wahab, M.m. Hamada, Ahmed A. A. El-tallawy, G. IsmailAbstract:The purpose of this paper is to implement non-linear multivariable regression technique (nlm) for the prediction of the residual Operating Time (ROT) of the transformer oil characteristics. This technique depends on non-linear models for each transformer oil characteristic and linear combination of these non-linear models. The characteristics under study are the oil breakdown voltage, total acidity and water content. The proposed technique has proved its accuracy and applicability by justifying the oil characteristics which have a strong impact on ROT and by giving more accurate predicted results than those obtained by previous modeling techniques.
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Novel modelling of residual Operating Time of transformer oil
European Transactions on Electrical Power, 2003Co-Authors: Mohamed A. A. Wahab, M.m. Hamada, A.g. Zeitoun, G. IsmailAbstract:This paper presents techniques developed to accurately model the characteristics of transformer oil for the purpose of predicting the effect of aging on these characteristics. Aging causes some of the transformer oil characteristics to violate the internationally specified limits. The purpose of this simulation is to develop alternative techniques to predict the Operating Time after which these characteristics would violate the limits. The results obtained from monitoring of twenty in-service power transformers for long period of Operating Time up to ten years have been implemented in developing the proposed models. The physical, chemical and electrical characteristics have been determined periodically by internationally specified testing methods. The patterns of violation sequence of the standard limits, against Operating Time, by different transformer oil characteristics have been revealed and the most common pattern has been determined. The definition of residual Operating Time (t rot ) of the different transformer oil characteristics has been introduced. The choice of transformer oil breakdown voltage trot to represent that of the transformer oil characteristics has been justified. Modelling of trot as a function of transformer oil breakdown voltage, total acidity and water content by multiple-linear regression has been proposed and verified. Also, polynomial regression model of t rot as a function only of transformer oil breakdown voltage has been given. The accuracy and applicability of these models and the different modelling techniques have been discussed and proved.
