Robotics & Machine Learning Daily News2024,Issue(Feb.8) :16-17.DOI:10.1111/trf.17735

University of Copenhagen Reports Findings in Arthroplasty (Preoperative hemoglobin thresholds for increased risk of 'medical' complications in fast-track total hip and knee arthroplasty, a secondary analysis of a machine-learning algorithm)

Robotics & Machine Learning Daily News2024,Issue(Feb.8) :16-17.DOI:10.1111/trf.17735

University of Copenhagen Reports Findings in Arthroplasty (Preoperative hemoglobin thresholds for increased risk of 'medical' complications in fast-track total hip and knee arthroplasty, a secondary analysis of a machine-learning algorithm)

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Abstract

New research on Surgery - Arthroplasty is the subject of a report. According to news reporting out of Copenhagen, Denmark, by NewsRx editors, research stated, “There is increasing evidence that genderspecific hemoglobin thresholds may not be ideal in the surgical population. Thus, preoperative anemia defined as a hemoglobin of <13.0 g/dL is a well-established risk factor in elective surgery.” Financial support for this research came from Novo Nordisk Fonden. Our news journalists obtained a quote from the research from the University of Copenhagen, “However, few studies have investigated the specific influence of preoperative hemoglobin within a machine-learning model using data from an optimized fast-track surgical setup. A secondary analysis on the specific influence of preoperative hemoglobin level on a machine-learning model developed for identifying patients at increased risk of a length of stay (LOS) of >4 day or readmissions due to medical complications in fast-track total hip and knee arthroplasty within a well-defined fast-track protocol. To evaluate the effect of hemoglobin on the model we calculated SHaply Additive Explanation (SHAP) values for the 3913 patients from our previous test-dataset and stratified by gender and total hip and knee arthroplasty, respectively. The study period ran from January 2017 to August 2017. Median LOS was 1 day and mean preoperative Hb was 15.5 g/dL (SD:1.5), lower in women (14.9 vs. 16.2 g/dL) and with 30.5% of women versus 12.0% of men having a Hb of <13.0 g/dL. There was a steep increase in SHAP value with a preoperative Hb <14.8 g/dL, and irrespective of gender age and procedure type.”

Key words

Copenhagen/Denmark/Europe/Algorithms/Arthroplasty/Blood Proteins/Cyborgs/Emerging Technologies/Globins/Health and Medicine/Hemoglobins/Knee Arthroplasty/Machine Learning/Orthopedic Procedures/Proteins/Risk and Prevention/Surgery

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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