Can J Anesth/J Can Anesth (2017) 64:893–898 DOI 10.1007/s12630-017-0910-4 EDITORIALS Precise mathematics yet hazy predictions: Can validated risk indices help improve patient selection for major elective surgery? Duminda N. Wijeysundera, MD, PhD Received: 18 May 2017 / Accepted: 8 June 2017 / Published online: 16 June 2017 Canadian Anesthesiologists’ Society 2017 Not uncommonly, anesthesiologists face the scenario of a initially developed using information from administrative very high-risk patient being considered for major elective databases in Ontario, this relatively simple scoring surgery. Many reasonable doctors speculate whether the scheme has shown remarkably stable predictive likelihood of such a patient’s survival might be better performance when tested across different hospital 3,4 served with a non-operative treatment option. Perhaps settings, countries, and data sources. Importantly, the unsurprisingly, there are remarkably few data available to HOMR score was developed and validated in samples that better our understanding of this important issue. In this issue included a broad spectrum of hospitalized patients, of the Journal, McIsaac et al. present a population-based including inpatient admissions with varying urgency (i.e., retrospective cohort study, by which they sought, in part, to elective, urgent, emergent) and indications (i.e., surgical, 2,3 quantify how patients’ observed survival after major medical,
Canadian Journal of Anesthesia/Journal canadien d'anesthésie – Springer Journals
Published: Jun 16, 2017
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