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Temporal variability of readmission determinants in postoperative vascular surgery patients

INTRODUCTION: Clinical information continues to be limited regarding changes in the temporal risk profile for readmissions during the initial postoperative year in vascular surgery patients. We set out to describe the associations between demographics, clinical outcomes, comorbidity indices, and hos...

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Autores principales: Lin, MJ, Baky, F, Housley, BC, Kelly, N, Pletcher, E, Balshi, JD, Stawicki, SP, Evans, DC
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5105205/
https://www.ncbi.nlm.nih.gov/pubmed/27763477
http://dx.doi.org/10.4103/0022-3859.188548
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author Lin, MJ
Baky, F
Housley, BC
Kelly, N
Pletcher, E
Balshi, JD
Stawicki, SP
Evans, DC
author_facet Lin, MJ
Baky, F
Housley, BC
Kelly, N
Pletcher, E
Balshi, JD
Stawicki, SP
Evans, DC
author_sort Lin, MJ
collection PubMed
description INTRODUCTION: Clinical information continues to be limited regarding changes in the temporal risk profile for readmissions during the initial postoperative year in vascular surgery patients. We set out to describe the associations between demographics, clinical outcomes, comorbidity indices, and hospital readmissions in a sample of patients undergoing common extremity revascularization or dialysis access (ERDA) procedures. We hypothesized that factors independently associated with readmission will evolve from “short-term” to “long-term” determinants at 30-, 180-, and 360-day postoperative cutoff points. METHODS: Following IRB approval, medical records of patients who underwent ERDA at two institutions were retrospectively reviewed between 2008 and 2014. Abstracted data included patient demographics, procedural characteristics, the American Society of Anesthesiologists score, Goldman Criteria for perioperative cardiac assessment, the Charlson comorbidity index, morbidity, mortality, and readmission (at 30-, 180-, and 360-days). Univariate analyses were performed for readmissions at each specified time point. Variables reaching statistical significance of P < 0.20 were included in multivariate analyses for factors independently associated with readmission. RESULTS: A total of 450 of 744 patients who underwent ERDA with complete medical records were included. Patients underwent either an extremity revascularization (e.g. bypass or endarterectomy, 406/450) or a noncatheter dialysis access procedure (44/450). Sample characteristics included 262 (58.2%) females, mean age 61.4 ± 12.9 years, 63 (14%) emergent procedures, and median operative time 164 min. Median hospital length of stay (index admission) was 4 days. Cumulative readmission rates at 30-, 180-, and 360-day were 12%, 27%, and 35%, respectively. Corresponding mortality rates were 3%, 7%, and 9%. Key factors independently associated with 30-, 180-, and 360-day readmissions evolved over the study period from comorbidity and morbidity-related issues in the short-term to cardiovascular and graft patency issues in the long-term. Any earlier readmission elevated the risk of subsequent readmission. CONCLUSIONS: We noted important patterns in the temporal behavior of hospital readmission risk in patients undergoing ERDA. Although factors independently associated with readmission were not surprising (e.g. comorbidity profile, cardiovascular status, and graft patency), the knowledge of temporal trends described in this study may help determine clinical risk profiles for individual patients and guide readmission reduction strategies. These considerations will be increasingly important in the evolving paradigm of value-based healthcare.
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spelling pubmed-51052052016-11-18 Temporal variability of readmission determinants in postoperative vascular surgery patients Lin, MJ Baky, F Housley, BC Kelly, N Pletcher, E Balshi, JD Stawicki, SP Evans, DC J Postgrad Med Original Article INTRODUCTION: Clinical information continues to be limited regarding changes in the temporal risk profile for readmissions during the initial postoperative year in vascular surgery patients. We set out to describe the associations between demographics, clinical outcomes, comorbidity indices, and hospital readmissions in a sample of patients undergoing common extremity revascularization or dialysis access (ERDA) procedures. We hypothesized that factors independently associated with readmission will evolve from “short-term” to “long-term” determinants at 30-, 180-, and 360-day postoperative cutoff points. METHODS: Following IRB approval, medical records of patients who underwent ERDA at two institutions were retrospectively reviewed between 2008 and 2014. Abstracted data included patient demographics, procedural characteristics, the American Society of Anesthesiologists score, Goldman Criteria for perioperative cardiac assessment, the Charlson comorbidity index, morbidity, mortality, and readmission (at 30-, 180-, and 360-days). Univariate analyses were performed for readmissions at each specified time point. Variables reaching statistical significance of P < 0.20 were included in multivariate analyses for factors independently associated with readmission. RESULTS: A total of 450 of 744 patients who underwent ERDA with complete medical records were included. Patients underwent either an extremity revascularization (e.g. bypass or endarterectomy, 406/450) or a noncatheter dialysis access procedure (44/450). Sample characteristics included 262 (58.2%) females, mean age 61.4 ± 12.9 years, 63 (14%) emergent procedures, and median operative time 164 min. Median hospital length of stay (index admission) was 4 days. Cumulative readmission rates at 30-, 180-, and 360-day were 12%, 27%, and 35%, respectively. Corresponding mortality rates were 3%, 7%, and 9%. Key factors independently associated with 30-, 180-, and 360-day readmissions evolved over the study period from comorbidity and morbidity-related issues in the short-term to cardiovascular and graft patency issues in the long-term. Any earlier readmission elevated the risk of subsequent readmission. CONCLUSIONS: We noted important patterns in the temporal behavior of hospital readmission risk in patients undergoing ERDA. Although factors independently associated with readmission were not surprising (e.g. comorbidity profile, cardiovascular status, and graft patency), the knowledge of temporal trends described in this study may help determine clinical risk profiles for individual patients and guide readmission reduction strategies. These considerations will be increasingly important in the evolving paradigm of value-based healthcare. Medknow Publications & Media Pvt Ltd 2016 /pmc/articles/PMC5105205/ /pubmed/27763477 http://dx.doi.org/10.4103/0022-3859.188548 Text en Copyright: © 2016 Journal of Postgraduate Medicine http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Original Article
Lin, MJ
Baky, F
Housley, BC
Kelly, N
Pletcher, E
Balshi, JD
Stawicki, SP
Evans, DC
Temporal variability of readmission determinants in postoperative vascular surgery patients
title Temporal variability of readmission determinants in postoperative vascular surgery patients
title_full Temporal variability of readmission determinants in postoperative vascular surgery patients
title_fullStr Temporal variability of readmission determinants in postoperative vascular surgery patients
title_full_unstemmed Temporal variability of readmission determinants in postoperative vascular surgery patients
title_short Temporal variability of readmission determinants in postoperative vascular surgery patients
title_sort temporal variability of readmission determinants in postoperative vascular surgery patients
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5105205/
https://www.ncbi.nlm.nih.gov/pubmed/27763477
http://dx.doi.org/10.4103/0022-3859.188548
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