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Drivers of readmissions in vascular surgery patients
Natalia O. Glebova, MD, PhD, Michael Bronsert, PhD, MS, Karl E. Hammermeister, MD, Mark R. Nehler, MD, Douglas R. Gibula, BS, CCRC, Mahmoud B. Malas, MD, MHS, James H. Black, MD, William G. Henderson, PhD, MPH Journal of Vascular Surgery Volume 64, Issue 1, Pages e3 (July 2016) DOI: /j.jvs Copyright © 2016 Society for Vascular Surgery Terms and Conditions
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Fig 1 Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) diagram of patient exclusions and missing data in the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) Participant Use Data File (PUF) ASA, American Society of Anesthesiologists. Journal of Vascular Surgery , e3DOI: ( /j.jvs ) Copyright © 2016 Society for Vascular Surgery Terms and Conditions
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Fig 2 Plot of odds ratios (ORs) and 95% confidence intervals (CIs) of the top 25 predictors of unplanned 30-day postoperative readmission in vascular surgery patients using as predictors patient preoperative characteristics, operative variables, and individual postoperative complications. Journal of Vascular Surgery , e3DOI: ( /j.jvs ) Copyright © 2016 Society for Vascular Surgery Terms and Conditions
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