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Predictors of Hospital Length of Stay among Patients with Low-risk Pulmonary Embolism

Background: Increased hospital length of stay is an important cost driver in hospitalized low-risk pulmonary embolism (LRPE) patients, who benefit from abbreviated hospital stays. We sought to measure length-of-stay associated predictors among Veterans Health Administration LRPE patients. Methods: A...

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Autores principales: Wang, Li, Baser, Onur, Wells, Phil, Peacock, W. Frank, Coleman, Craig I., Fermann, Gregory J., Schein, Jeff, Crivera, Concetta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Columbia Data Analytics, LLC 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299442/
https://www.ncbi.nlm.nih.gov/pubmed/32685582
http://dx.doi.org/10.36469/9744
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author Wang, Li
Baser, Onur
Wells, Phil
Peacock, W. Frank
Coleman, Craig I.
Fermann, Gregory J.
Schein, Jeff
Crivera, Concetta
author_facet Wang, Li
Baser, Onur
Wells, Phil
Peacock, W. Frank
Coleman, Craig I.
Fermann, Gregory J.
Schein, Jeff
Crivera, Concetta
author_sort Wang, Li
collection PubMed
description Background: Increased hospital length of stay is an important cost driver in hospitalized low-risk pulmonary embolism (LRPE) patients, who benefit from abbreviated hospital stays. We sought to measure length-of-stay associated predictors among Veterans Health Administration LRPE patients. Methods: Adult patients (aged ≥18 years) with ≥1 inpatient pulmonary embolism (PE) diagnosis (index date = discharge date) between 10/2011-06/2015 and continuous enrollment for ≥12 months pre- and 3 months post-index were included. PE patients with simplified Pulmonary Embolism Stratification Index score 0 were considered low risk; all others were considered high risk. LRPE patients were further stratified into short (≤2 days) and long length of stay cohorts. Logistic regression was used to identify predictors of length of stay among low-risk patients. Results: Among 6746 patients, 1918 were low-risk (28.4%), of which 688 (35.9%) had short and 1230 (64.1%) had long length of stay. LRPE patients with computed tomography angiography (Odds ratio [OR]: 4.8, 95% Confidence interval [CI]: 3.82-5.97), lung ventilation/perfusion scan (OR: 3.8, 95% CI: 1.86-7.76), or venous Doppler ultrasound (OR: 1.4, 95% CI: 1.08-1.86) at baseline had an increased probability of short length of stay. Those with troponin I (OR: 0.7, 95% CI: 0.54-0.86) or natriuretic peptide testing (OR: 0.7, 95% CI: 0.57-0.90), or more comorbidities at baseline, were less likely to have short length of stay. Conclusion: Understanding the predictors of length of stay can help providers deliver efficient treatment and improve patient outcomes which potentially reduces the length of stay, thereby reducing the overall burden in LRPE patients.
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spelling pubmed-72994422020-07-16 Predictors of Hospital Length of Stay among Patients with Low-risk Pulmonary Embolism Wang, Li Baser, Onur Wells, Phil Peacock, W. Frank Coleman, Craig I. Fermann, Gregory J. Schein, Jeff Crivera, Concetta J Health Econ Outcomes Res Cardiovascular Conditions Background: Increased hospital length of stay is an important cost driver in hospitalized low-risk pulmonary embolism (LRPE) patients, who benefit from abbreviated hospital stays. We sought to measure length-of-stay associated predictors among Veterans Health Administration LRPE patients. Methods: Adult patients (aged ≥18 years) with ≥1 inpatient pulmonary embolism (PE) diagnosis (index date = discharge date) between 10/2011-06/2015 and continuous enrollment for ≥12 months pre- and 3 months post-index were included. PE patients with simplified Pulmonary Embolism Stratification Index score 0 were considered low risk; all others were considered high risk. LRPE patients were further stratified into short (≤2 days) and long length of stay cohorts. Logistic regression was used to identify predictors of length of stay among low-risk patients. Results: Among 6746 patients, 1918 were low-risk (28.4%), of which 688 (35.9%) had short and 1230 (64.1%) had long length of stay. LRPE patients with computed tomography angiography (Odds ratio [OR]: 4.8, 95% Confidence interval [CI]: 3.82-5.97), lung ventilation/perfusion scan (OR: 3.8, 95% CI: 1.86-7.76), or venous Doppler ultrasound (OR: 1.4, 95% CI: 1.08-1.86) at baseline had an increased probability of short length of stay. Those with troponin I (OR: 0.7, 95% CI: 0.54-0.86) or natriuretic peptide testing (OR: 0.7, 95% CI: 0.57-0.90), or more comorbidities at baseline, were less likely to have short length of stay. Conclusion: Understanding the predictors of length of stay can help providers deliver efficient treatment and improve patient outcomes which potentially reduces the length of stay, thereby reducing the overall burden in LRPE patients. Columbia Data Analytics, LLC 2019-04-08 /pmc/articles/PMC7299442/ /pubmed/32685582 http://dx.doi.org/10.36469/9744 Text en https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (4.0) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Cardiovascular Conditions
Wang, Li
Baser, Onur
Wells, Phil
Peacock, W. Frank
Coleman, Craig I.
Fermann, Gregory J.
Schein, Jeff
Crivera, Concetta
Predictors of Hospital Length of Stay among Patients with Low-risk Pulmonary Embolism
title Predictors of Hospital Length of Stay among Patients with Low-risk Pulmonary Embolism
title_full Predictors of Hospital Length of Stay among Patients with Low-risk Pulmonary Embolism
title_fullStr Predictors of Hospital Length of Stay among Patients with Low-risk Pulmonary Embolism
title_full_unstemmed Predictors of Hospital Length of Stay among Patients with Low-risk Pulmonary Embolism
title_short Predictors of Hospital Length of Stay among Patients with Low-risk Pulmonary Embolism
title_sort predictors of hospital length of stay among patients with low-risk pulmonary embolism
topic Cardiovascular Conditions
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299442/
https://www.ncbi.nlm.nih.gov/pubmed/32685582
http://dx.doi.org/10.36469/9744
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