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ABSTRACT: Background
The association between preoperative patient characteristics and the number of major postoperative complications after a major operation is not well defined.Methods
In a retrospective, single-center cohort of 50,314 adult surgical patients, we used readily available preoperative clinical data to model the number of major postoperative complications from none to ≥3. We included acute kidney injury; prolonged stay (>48 hours) in an intensive care unit; need for prolonged (>48 hours) mechanical ventilation; severe sepsis; and cardiovascular, wound, and neurologic complications. Risk probability scores generated from the multinomial logistic models were used to develop an online calculator. We stratified patients based on their risk of having ≥3 postoperative complic
SUBMITTER: Ozrazgat-Baslanti T
PROVIDER: S-EPMC5114020 | biostudies-literature | 2016 Aug
REPOSITORIES: biostudies-literature