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Start Over Author "Justin de Beer" Journal british journal of anaesthesia
2 results on '"Justin de Beer"'

1. Bleeding Independently associated with Mortality after noncardiac Surgery (BIMS): an international prospective cohort study establishing diagnostic criteria and prognostic importance

Author

Flávia Kessler Borges, Sebastian Ribas, Wojciech Szczeklik, Clive Kearon, Michael McGillion, Tomas VanHelder, Philip J. Devereaux, Bruce M Biccard, Ryszard Mizera, Pavel S Roshanov, Vikas Tandon, Richard P. Whitlock, Mohamed Panju, Justin de Beer, Gordon H. Guyatt, Mark Crowther, Andre Lamy, Jessica Spence, Peter A. Kavsak, Amit X. Garg, Marko Simunovic, Lehana Thabane, Jehonathan H. Pinthus, Tej Sheth, Yannick Le Manach, Deborah M. Siegal, Mitchell Winemaker, Daniel I. Sessler, and John W. Eikelboom

Subjects
Male, medicine.medical_specialty, business.industry, Proportional hazards model, Middle Aged, Postoperative Hemorrhage, Prognosis, 3. Good health, Cohort Studies, Clinical trial, 03 medical and health sciences, 0302 clinical medicine, Anesthesiology and Pain Medicine, 030202 anesthesiology, Postoperative mortality, Internal medicine, medicine, Humans, Postoperative outcome, Female, Prospective Studies, Prospective cohort study, business, Noncardiac surgery, Aged
Abstract

Background We aimed to establish diagnostic criteria for bleeding independently associated with mortality after noncardiac surgery (BIMS) defined as bleeding during or within 30 days after noncardiac surgery that is independently associated with mortality within 30 days of surgery, and to estimate the proportion of 30-day postoperative mortality potentially attributable to BIMS. Methods This was a prospective cohort study of participants ≥45 yr old having inpatient noncardiac surgery at 12 academic hospitals in eight countries between 2007 and 2011. Cox proportional hazards models evaluated the adjusted relationship between candidate diagnostic criteria for BIMS and all-cause mortality within 30 days of surgery. Results Of 16 079 participants, 2.0% (315) died and 36.1% (5810) met predefined screening criteria for bleeding. Based on independent association with 30-day mortality, BIMS was identified as bleeding leading to a postoperative haemoglobin Conclusions Bleeding independently associated with mortality after noncardiac surgery (BIMS), defined as bleeding that leads to a postoperative haemoglobin Clinical trial registration NCT00512109.

Published
2021
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2. Preoperative prediction of Bleeding Independently associated with Mortality after noncardiac Surgery (BIMS): an international prospective cohort study

Author

Jehonathan H. Pinthus, Sebastian Ribas, Mohamed Panju, Pavel S Roshanov, Philip J. Devereaux, Vikas Tandon, Justin de Beer, Tomas VanHelder, Wojciech Szczeklik, Richard P. Whitlock, Flávia Kessler Borges, Andre Lamy, Ryszard Mizera, John W. Eikelboom, Clive Kearon, Marko Simunovic, Michael McGillion, Amit X. Garg, Gordon H. Guyatt, Jessica Spence, Mark Crowther, Bruce M Biccard, Lehana Thabane, Tej Sheth, Deborah M. Siegal, Daniel I. Sessler, Yannick Le Manach, Mitchell Winemaker, and Peter A. Kavsak

Subjects
medicine.medical_specialty, business.industry, Renal function, Hemorrhage, Logistic regression, medicine.disease, Prognosis, Confidence interval, 3. Good health, Coronary artery disease, Clinical trial, 03 medical and health sciences, 0302 clinical medicine, Anesthesiology and Pain Medicine, Logistic Models, 030202 anesthesiology, Risk index, Internal medicine, Medicine, Humans, Blood Transfusion, Prospective Studies, business, Prospective cohort study, Noncardiac surgery
Abstract

Background Diagnostic criteria for Bleeding Independently associated with Mortality after noncardiac Surgery (BIMS) have been defined as bleeding that leads to a postoperative haemoglobin Methods In a prospective cohort study of 16 079 participants aged ≥45 yr having inpatient noncardiac surgery at 12 academic hospitals in eight countries between 2007 and 2011, 17.3% (2782) experienced BIMS. An electronic risk calculator for BIMS was developed and internally validated by logistic regression with bootstrapping, and further simplified to a risk index. Decision curve analysis assessed the potential utility of each prediction guide compared with a strategy of identifying risk of BIMS based on preoperative haemoglobin Results With information about the type of surgery, preoperative haemoglobin, age, sex, functional status, kidney function, history of high-risk coronary artery disease, and active cancer, the risk calculator accurately predicted BIMS (bias-corrected C-statistic, 0.84; 95% confidence interval, 0.837–0.852). A simplified index based on preoperative haemoglobin Conclusions BIMS, defined as bleeding that leads to a postoperative haemoglobin Clinical trial registration NCT00512109.

Published
2019

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