Literature DB >> 23830311

Predictors of operative mortality following major lower extremity amputations using the National Surgical Quality Improvement Program public use data.

Joseph Karam1, Alexander Shepard, Ilan Rubinfeld.   

Abstract

BACKGROUND: The most definitive outcome data on lower extremity amputation (LEA) comes from the Veterans Administration (VA) system. Because of the unique nature of VA patients (more chronic disease, greater functional disability, and lower socioeconomic status), it is not clear these results can be generalized to the private sector. This study was undertaken to determine the short-term outcome of LEA in private sector patients and to define predictors of operative mortality.
METHODS: After Institutional Review Board approval and under the National Surgical Quality Improvement Program public use agreement, a data set of LEA based on Current Procedural Terminology coding was assembled for the years 2005 to 2008. Patient demographics, comorbidities, and laboratory values were compiled and linked to operative mortality. Dichotomous variables were analyzed using χ(2) test with odds ratios (ORs) and continuous variables with Student t-test. Predictive modeling was done using stepwise logistic regression. Data were analyzed in SPSS.
RESULTS: A total of 6839 patients underwent 4001 amputations below-knee (BK) and 2838 above-knee (AK) with a 9.1% operative mortality (6.5% BK, 12.7% AK; P < .001). Age >60 years (OR, 2.4; 95% confidence interval [CI], 1.9-2.9), white race (OR, 1.2; 95% CI, 1.0-1.4), and American Society of Anesthesiologists classification (II, 2.3% vs IV, 13.8%) were significant predictors of mortality. Preoperative functional status (20% for totally dependent vs 4.3% for independent), renal failure (OR, 2.3; 95% CI, 1.7-3.2), and congestive heart failure (OR, 2.6; 95% CI, 2.1-3.3) also predicted death. Postoperative complications associated with mortality included pneumonia (OR, 5.4; 95% CI, 4.1-7.0), ventilator dependence (OR, 5.1; 95% CI, 3.8-6.8), and need for transfusion (OR, 3.7; 95% CI, 2.0-6.7). Hispanic and African-American race (OR, 0.6; 95% CI, 0.4-0.9 and OR, 0.8; 95% CI, 0.7-1), history of peripheral arterial disease (OR, 0.6; 95% CI, 0.5-0.8), and smoking (OR, 0.5; 95% CI, 0.4-0.7) were protective (all ORs had P values < .001).
CONCLUSIONS: The mortality of LEA in private sector patients remains high, with risk factors similar to those identified in previous studies of VA patients. These results should serve as a benchmark for future attempts to improve the outcome of LEA and serve to improve patient and family counseling.
Copyright © 2013 Society for Vascular Surgery. Published by Mosby, Inc. All rights reserved.

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Year:  2013        PMID: 23830311     DOI: 10.1016/j.jvs.2013.05.026

Source DB:  PubMed          Journal:  J Vasc Surg        ISSN: 0741-5214            Impact factor:   4.268


  15 in total

1.  Mortality prediction following non-traumatic amputation of the lower extremity.

Authors:  D C Norvell; M L Thompson; E J Boyko; G Landry; A J Littman; W G Henderson; A P Turner; C Maynard; K P Moore; J M Czerniecki
Journal:  Br J Surg       Date:  2019-03-13       Impact factor: 6.939

2.  Risk Factors for In-hospital Mortality and Reamputation Following Lower Limb Amputation.

Authors:  Sachiko Endoh; Hayato Yamana; Yasuo Nakahara; Hiroki Matsui; Kiyohide Fushimi; Hideo Yasunaga; Nobuhiko Haga
Journal:  Prog Rehabil Med       Date:  2017-12-26

3.  Cross-Sectional Analysis of 180,595 Lower Limb Amputations in the State of Sao Paulo Over 12 Years.

Authors:  Rodrigo Bruno Biagioni; Andressa Cristina Sposato Louzada; Luiza Ciucci Biagioni; Marcelo Fiorelli Alexandrino da Silva; Marcelo Passos Teivelis; Nelson Wolosker
Journal:  World J Surg       Date:  2022-07-16       Impact factor: 3.282

4.  Preoperative risk factors for postoperative pneumonia following primary Total Hip and Knee Arthroplasty.

Authors:  Syeda Akila Ally; Michael Foy; Anshum Sood; Mark Gonzalez
Journal:  J Orthop       Date:  2021-08-16

5.  Population-Based Trends in Amputations and Revascularizations for Peripheral Artery Disease From 1990 to 2009.

Authors:  Jeffrey J Nienaber; Carin Y Smith; Stephen Cha; Mateus Correa; Phillip G Rowse; Kent R Bailey; Manju Kalra
Journal:  Mayo Clin Proc       Date:  2022-02-15       Impact factor: 11.104

6.  Preoperative Predictors of 30-Day Mortality and Prolonged Length of Stay after Above-Knee Amputation.

Authors:  Eric S Wise; William G McMaster; Kelly Williamson; Justine E Wergin; Kyle M Hocking; Colleen M Brophy
Journal:  Ann Vasc Surg       Date:  2015-11-23       Impact factor: 1.466

7.  Amputation Rates for Patients with Diabetes and Peripheral Arterial Disease: The Effects of Race and Region.

Authors:  Karina Newhall; Emily Spangler; Nino Dzebisashvili; David C Goodman; Philip Goodney
Journal:  Ann Vasc Surg       Date:  2015-11-05       Impact factor: 1.466

8.  Incidence and Predictors of Cardiovascular Complications and Death after Vascular Surgery.

Authors:  Luciana Andrea Avena Smeili; Paulo Andrade Lotufo
Journal:  Arq Bras Cardiol       Date:  2015-09-25       Impact factor: 2.000

9.  Predictors of in-hospital mortality following major lower extremity amputations in type 2 diabetic patients using artificial neural networks.

Authors:  Ana Lopez-de-Andres; Valentin Hernandez-Barrera; Roberto Lopez; Pablo Martin-Junco; Isabel Jimenez-Trujillo; Alejandro Alvaro-Meca; Miguel Angel Salinero-Fort; Rodrigo Jimenez-Garcia
Journal:  BMC Med Res Methodol       Date:  2016-11-22       Impact factor: 4.615

10.  Is Reconstruction of Unstable Midfoot Charcot Neuroarthropathy Cost Effective from a US Payer's Perspective?

Authors:  Rachel H Albright; Robert M Joseph; Dane K Wukich; David G Armstrong; Adam E Fleischer
Journal:  Clin Orthop Relat Res       Date:  2020-12       Impact factor: 4.755

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