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Your search keyword '"Trochsler, Markus I."' showing total 18 results
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18 results on '"Trochsler, Markus I."'

1. Sociocultural and Demographic Factors Predict Readmissions for General Surgery Patients

Author

Kovoor, Joshua G., Bacchi, Stephen, Gupta, Aashray K., Nann, Silas D., Stretton, Brandon, Chong, Esther H. L., Hewitt, Joseph N., Bhanushali, Ameya, Nathin, Kayla, Aujayeb, Nidhi, Lu, Amy, Ovenden, Christopher D., John, Athul, Reid, Jessica L., Gluck, Samuel, Liew, Danny, Reddi, Benjamin A., Hugh, Thomas J., Dobbins, Christopher, Padbury, Robert T., Hewett, Peter J., Trochsler, Markus I., and Maddern, Guy J.

Published
2023
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2. Depression after stoma surgery: a systematic review and meta-analysis

Author

Kovoor, Joshua G., Jacobsen, Jonathan Henry W., Stretton, Brandon, Bacchi, Stephen, Gupta, Aashray K., Claridge, Brayden, Steen, Matthew V., Bhanushali, Ameya, Bartholomeusz, Lorenz, Edwards, Suzanne, Asokan, Gayatri P., Asokan, Gopika, McGee, Amanda, Ovenden, Christopher D., Hewitt, Joseph N., Trochsler, Markus I., Padbury, Robert T., Perry, Seth W., Wong, Ma-Li, Licinio, Julio, Maddern, Guy J., and Hewett, Peter J.

Published
2023
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3. Delayed return of bowel function after general surgery in South Australia

Author

Kovoor, Joshua G., Bacchi, Stephen, Stretton, Brandon, Gupta, Aashray K., Jacobsen, Jonathan Henry W., To, Minh-Son, Goh, Rudy, Hewitt, Joseph N., Ovenden, Christopher D., Warren, Leigh, Marshall-Webb, Matthew, Jones, Karen L., Reddi, Benjamin A., Liew, Danny, Dobbins, Christopher, Padbury, Robert T., Hewett, Peter J., Hugh, Thomas J., Trochsler, Markus I., and Maddern, Guy J.

Published
2024
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5. Surgery’s Rosetta Stone: Natural language processing to predict discharge and readmission after general surgery

Author

Kovoor, Joshua G., Bacchi, Stephen, Gupta, Aashray K., Stretton, Brandon, Nann, Silas D., Aujayeb, Nidhi, Lu, Amy, Nathin, Kayla, Lam, Lydia, Jiang, Melinda, Lee, Shane, To, Minh-Son, Ovenden, Christopher D., Hewitt, Joseph N., Goh, Rudy, Gluck, Samuel, Reid, Jessica L., Khurana, Sanjeev, Dobbins, Christopher, Hewett, Peter J., Padbury, Robert T., Malycha, James, Trochsler, Markus I., Hugh, Thomas J., and Maddern, Guy J.

Published
2023
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8. Opioid prescribing, pain, and hospital stay of general surgery patients with oxycodone allergies in South Australia

Author

Kovoor, Joshua G., primary, Bacchi, Stephen, additional, Gupta, Aashray K., additional, Vo, Tammy, additional, Lam, Cindy, additional, Lam, Lydia, additional, Jiang, Melinda, additional, Stretton, Brandon, additional, To, Minh‐Son, additional, Nann, Silas, additional, Ovenden, Christopher D., additional, Hewitt, Joseph N., additional, Goh, Rudy, additional, Reid, Jessica L., additional, Hugh, Thomas J., additional, Dobbins, Christopher, additional, Hewett, Peter J., additional, Trochsler, Markus I., additional, Kette, Frank E., additional, and Maddern, Guy J., additional

Published
2023
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9. Vital signs and medical emergency response (MER) activation predict in‐hospital mortality in general surgery patients: a study of 15 969 admissions

Author

Kovoor, Joshua G., primary, Bacchi, Stephen, additional, Stretton, Brandon, additional, Gupta, Aashray K., additional, Lam, Lydia, additional, Jiang, Melinda, additional, Lee, Shane, additional, To, Minh‐Son, additional, Ovenden, Christopher D., additional, Hewitt, Joseph N., additional, Goh, Rudy, additional, Gluck, Samuel, additional, Reid, Jessica L., additional, Hugh, Thomas J., additional, Dobbins, Christopher, additional, Padbury, Robert T., additional, Hewett, Peter J., additional, Trochsler, Markus I., additional, Flabouris, Arthas, additional, and Maddern, Guy J., additional

Published
2023
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11. The Adelaide Score: An artificial intelligence measure of readiness for discharge after general surgery.

Author

Kovoor, Joshua G., Bacchi, Stephen, Gupta, Aashray K., Stretton, Brandon, Malycha, James, Reddi, Benjamin A., Liew, Danny, O'Callaghan, Patrick G., Beltrame, John F., Zannettino, Andrew C., Jones, Karen L., Horowitz, Michael, Dobbins, Christopher, Hewett, Peter J., Trochsler, Markus I., and Maddern, Guy J.

Subjects
SURGERY, ARTIFICIAL intelligence, MACHINE learning, MEDICAL personnel, RANDOM forest algorithms
Abstract

Background: This study aimed to examine the performance of machine learning algorithms for the prediction of discharge within 12 and 24 h to produce a measure of readiness for discharge after general surgery. Methods: Consecutive general surgery patients at two tertiary hospitals, over a 2‐year period, were included. Observation and laboratory parameter data were stratified into training, testing and validation datasets. Random forest, XGBoost and logistic regression models were evaluated. Each ward round note time was taken as a different event. Primary outcome was classification accuracy of the algorithmic model able to predict discharge within the next 12 h on the validation data set. Results: 42 572 ward round note timings were included from 8826 general surgery patients. Discharge occurred within 12 h for 8800 times (20.7%), and within 24 h for 9885 (23.2%). For predicting discharge within 12 h, model classification accuracies for derivation and validation data sets were: 0.84 and 0.85 random forest, 0.84 and 0.83 XGBoost, 0.80 and 0.81 logistic regression. For predicting discharge within 24 h, model classification accuracies for derivation and validation data sets were: 0.83 and 0.84 random forest, 0.82 and 0.81 XGBoost, 0.78 and 0.79 logistic regression. Algorithms generated a continuous number between 0 and 1 (or 0 and 100), representing readiness for discharge after general surgery. Conclusions: A derived artificial intelligence measure (the Adelaide Score) successfully predicts discharge within the next 12 and 24 h in general surgery patients. This may be useful for both treating teams and allied health staff within surgical systems. [ABSTRACT FROM AUTHOR]

Published
2023
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12. Standardizing optimization in surgery

Author

Kovoor, Joshua G., primary, Bacchi, Stephen, additional, Gupta, Aashray K., additional, O'Callaghan, Patrick G., additional, Trochsler, Markus I., additional, and Maddern, Guy J., additional

Published
2022
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13. Additional file 1 of Depression after stoma surgery: a systematic review and meta-analysis

Author

Kovoor, Joshua G., Jacobsen, Jonathan Henry W., Stretton, Brandon, Bacchi, Stephen, Gupta, Aashray K., Claridge, Brayden, Steen, Matthew V., Bhanushali, Ameya, Bartholomeusz, Lorenz, Edwards, Suzanne, Asokan, Gayatri P., Asokan, Gopika, McGee, Amanda, Ovenden, Christopher D., Hewitt, Joseph N., Trochsler, Markus I., Padbury, Robert T., Perry, Seth W., Wong, Ma-Li, Licinio, Julio, Maddern, Guy J., and Hewett, Peter J.

Abstract

Additional file 1: Appendix 1. PRISMAChecklist. Appendix 2. Studies included at full-text review. Supplementary Figure 1. Funnel plot summarising publication bias for studies with data regarding effect of age on depressive symptoms after stoma surgery. Supplementary Figure 2. Funnel plot summarising publication bias for studies with data regarding mean age and standard deviations in studies with data regarding effect of age on depressive symptoms after stoma surgery. Supplementary Figure 3. Funnel plot summarising publication bias for studies with data regarding effect of sex on depressive symptoms after stoma surgery. Supplementary Figure 4. Forest plot summarising prevalence of male sex in studies with data regarding effect of sex on depressive symptoms after stoma surgery. Supplementary Figure 5. Funnel plot summarising publication bias for studies with data regarding prevalence of male sex and data regarding effect of sex on depressive symptoms after stoma surgery. Supplementary Figure 6. Forest plot showing prevalence of depressive symptoms after stoma surgery in studies reporting by region. Supplementary Figure 7. Funnel plot summarising publication bias for studies with data regarding effect of region on depressive symptoms after stoma surgery. Supplementary Figure 8. Forest plot summarising the odds of experiencing depressive symptoms before versus after stoma surgery. Supplementary Figure 9. Funnel plot summarising publication bias in studies reporting odds of experiencing depressive symptoms before versus after stoma surgery. Supplementary Figure 10. Forest plot summarising the odds of experiencing depressive symptoms after surgery in stoma versus non-stoma populations. Supplementary Figure 11. Funnel plot summarising publication bias in studies reporting data regarding the odds of experiencing depressive symptoms after surgery in stoma versus non-stoma populations. Supplementary Figure 12. Forest plot summarising mean differences in experiencing depressive symptoms after surgery in stoma versus non-stoma populations. Supplementary Figure 13. Funnel plot summarising publication bias in studies reporting data regarding mean differences in experiencing depressive symptoms after surgery in stoma versus non-stoma populations. Supplementary Figure 14. Forest plot summarising the mean differences in experiencing depressive symptoms after surgery in colostomy versus ileostomy patients. Supplementary Figure 15. Funnel plot summarising publication bias in studies reporting data regarding the mean differences in experiencing depressive symptoms after surgery in colostomy versus ileostomy patients. Supplementary Table 1. Risk of bias assessment using the Downs and Black Checklist for 65 non-randomised studies of interventions included in the present systematic review. Supplementary Table 2. Overall risk of bias assessment using the Cochrane RoB 2.0 checklist for three randomised controlled trials included in the present systematic review.

Published
2023
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16. Gastrointestinal recovery after surgery: protocol for a systematic review

Author

Kovoor, Joshua G, primary, Stretton, Brandon, additional, Jacobsen, Jonathan Henry W, additional, Gupta, Aashray K, additional, Ovenden, Christopher D, additional, Hewitt, Joseph N, additional, Glynatsis, John M, additional, Edwards, Suzanne, additional, Campbell, Kaitryn, additional, Asokan, Gayatri P, additional, Tivey, David R, additional, Babidge, Wendy J, additional, Rayner, Christopher K, additional, Anthony, Adrian A, additional, Trochsler, Markus I, additional, Horowitz, Michael, additional, Hewett, Peter J, additional, Jones, Karen L, additional, and Maddern, Guy J, additional

Published
2021
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