Literature DB >> 31839861

A Multilevel Analysis of Surgical Category and Individual Patient-Level Risk Factors for Postoperative Stroke.

Benjamin R Kummer1, Rebecca Hazan2, Alexander E Merkler1,3, Hooman Kamel1,3, Joshua Z Willey4, William Middlesworth5, Shadi Yaghi6, Randolph S Marshall4, Mitchell S V Elkind4,7, Amelia K Boehme4,7.   

Abstract

BACKGROUND AND
PURPOSE: Many studies supporting the association between specific surgical procedure categories and postoperative stroke (POS) do not account for differences in patient-level characteristics between and within surgical categories. The risk of POS after high-risk procedure categories remains unknown after adjusting for such differences in patient-level characteristics.
METHODS: Using inpatients in the American College of Surgeons National Surgical Quality Initiative Program database, we conducted a retrospective cohort study between January 1, 2000, and December 31, 2010. Our primary outcome was POS within 30 days of surgery. We characterized the relationship between surgical- and individual patient-level factors and POS by using multivariable, multilevel logistic regression that accounted for clustering of patient-level factors with surgical categories.
RESULTS: We identified 729 886 patients, 2703 (0.3%) of whom developed POS. Dependent functional status (odds ratio [OR]: 4.11, 95% confidence interval [95% CI]: 3.60-4.69), history of stroke (OR: 2.35, 95%CI: 2.06-2.69) or transient ischemic attack (OR: 2.49 95%CI: 2.19-2.83), active smoking (OR: 1.20, 95%CI: 1.08-1.32), hypertension (OR: 2.11, 95%CI: 2.19-2.82), chronic obstructive pulmonary disease (OR: 1.39 95%CI: 1.21-1.59), and acute renal failure (OR: 2.35, 95%CI: 1.85-2.99) were significantly associated with POS. After adjusting for clustering, patients who underwent cardiac (OR: 11.25, 95%CI: 8.52-14.87), vascular (OR: 4.75, 95%CI: 3.88-5.82), neurological (OR: 4.60, 95%CI: 3.48-6.08), and general surgery (OR: 1.40, 95%CI: 1.15-1.70) had significantly greater odds of POS compared to patients undergoing other types of surgical procedures.
CONCLUSIONS: Vascular, cardiac, and neurological surgery remained strongly associated with POS in an analysis accounting for the association between patient-level factors and surgical categories.
© The Author(s) 2019.

Entities:  

Keywords:  cerebrovascular disorders; clinical specialty; cluster analysis; outcomes; postoperative stroke; stroke; stroke and cerebrovascular disease; techniques

Year:  2019        PMID: 31839861      PMCID: PMC6900661          DOI: 10.1177/1941874419848590

Source DB:  PubMed          Journal:  Neurohospitalist        ISSN: 1941-8744


  32 in total

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Journal:  Can J Surg       Date:  2014-06       Impact factor: 2.089

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9.  Incidence, predictors, and outcomes of perioperative stroke in noncarotid major vascular surgery.

Authors:  Milad Sharifpour; Laurel E Moore; Amy M Shanks; Thomas J Didier; Sachin Kheterpal; George A Mashour
Journal:  Anesth Analg       Date:  2012-10-31       Impact factor: 5.108

10.  Development and validation of a prediction model for strokes after coronary artery bypass grafting.

Authors:  David C Charlesworth; Donald S Likosky; Charles A S Marrin; Christopher T Maloney; Hebe B Quinton; Jeremy R Morton; Bruce J Leavitt; Robert A Clough; Gerald T O'Connor
Journal:  Ann Thorac Surg       Date:  2003-08       Impact factor: 4.330

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