Medical record weight (MRW): a new reliable predictor of hospital stay, morbidity and mortality in the hip fracture population?
Rattachement africain : ie, nz. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
We sought to compare the weight of patient's medical records (MRW) to that of standardised surgical risk scoring systems in predicting postoperative hospital stay, morbidity, and mortality in patients with hip fracture. Patients admitted for surgical treatment of a newly diagnosed hip fracture over a 3-month period were enrolled. Patients with documented morbidity or mortality had significantly heavier medical records. The MRW was equivalent to the age-adjusted Charlson co-morbidity index and better than the American Society of Anaesthesiologists physical status score (ASA), the Physiological and Operative Severity Score for the enUmeration of Mortality and Morbidity (POSSUM,) and Portsmouth-POSSUM score (P-POSSUM) in correlation with length of hospital admission, p = .003, 95% CI [.15 to .65]. Using logistic regression analysis MRW was as good as, if not better, than the other scoring systems at predicting postoperative morbidity and 90-day mortality. Medical record weight is as good as, or better than, validated surgical risk scoring methods. Larger, multicentre studies are required to validate its use as a surgical risk prediction tool, and it may in future be supplanted by a digital measure of electronic record size. Given its ease of use and low cost, it could easily be used in trauma units globally.
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University Hospital Galway pays non établi dans la noticeÉtablissement de santé
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University of Otago pays non établi dans la noticeUniversité ou école supérieure
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Galway University Hospital Department of Trauma and Orthopaedic pays non établi dans la noticeUniversité ou école supérieure
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School of Pharmacy pays non établi dans la noticeUniversité ou école supérieure
University Hospital Galway, University of Otago et Department of Trauma and Orthopaedic — Galway University Hospital, avec 1 autre affiliation.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.