Clinical Predictors Influencing the Length of Stay in Emergency Department Patients Presenting with Acute Heart Failure
Background and objectives: Acute heart failure is a common problem encountered in the emergency department (ED). More than 80% of the patients with the condition subsequently require lengthy and repeated hospitalization. In a setting with limited in-patient capacity, the patient flow is often obstru...
Saved in:
Main Authors: | , , , , , , , |
---|---|
Format: | Journal |
Published: |
2020
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85090106136&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/70785 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
id |
th-cmuir.6653943832-70785 |
---|---|
record_format |
dspace |
spelling |
th-cmuir.6653943832-707852020-10-14T08:41:24Z Clinical Predictors Influencing the Length of Stay in Emergency Department Patients Presenting with Acute Heart Failure Pungkava Sricharoen Phichayut Phinyo Jayanton Patumanond Dilok Piyayotai Yuwares Sittichanbuncha Chaiyaporn Yuksen Khanchit Likittanasombat Ekpaiboon Cheuathonghua Medicine Background and objectives: Acute heart failure is a common problem encountered in the emergency department (ED). More than 80% of the patients with the condition subsequently require lengthy and repeated hospitalization. In a setting with limited in-patient capacity, the patient flow is often obstructed. Appropriate disposition decisions must be made by emergency physicians to deliver effective care and alleviate ED overcrowding. This study aimed to explore clinical predictors influencing the length of stay (LOS) in patients with acute heart failure who present to the ED. Materials and Methods: We conducted prognostic factor research with a retrospective cohort design. Medical records of patients with acute heart failure who presented to the ED of Ramathibodi Hospital from January to December 2015 were assessed for eligibility. Thirteen potential clinical predictors were selected as candidates for statistical modeling based on previous reports. Multivariable Poisson regression was used to estimate the difference in LOS between patients with and without potential predictors. Results: A total of 207 patients were included in the analysis. Most patients were male with a mean age of 74.2 ± 12.5 years. The median LOS was 54.6 h (Interquartile range 17.5, 149.3 h). From the multivariable analysis, four clinical characteristics were identified as independent predictors with an increase in LOS. These were patients with New York Heart Association (NYHA) functional class III/IV (+72.9 h, 95%Confidence interval (CI) 23.9, 121.8, p = 0.004), respiratory rate >24 per minute (+80.7 h, 95%CI 28.0, 133.3, p = 0.003), hemoglobin level <10 mg/dL (+60.4 h, 95%CI 8.6, 112.3, p = 0.022), and serum albumin <3.5 g/dL (+52.8 h, 95%CI 3.6, 102.0, p = 0.035). Conclusions: Poor NYHA functional class, tachypnea, anemia, and hypoalbuminemia are significant clinical predictors of patients with acute heart failure who required longer LOS. 2020-10-14T08:41:24Z 2020-10-14T08:41:24Z 2020-08-27 Journal 16489144 2-s2.0-85090106136 10.3390/medicina56090434 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85090106136&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/70785 |
institution |
Chiang Mai University |
building |
Chiang Mai University Library |
continent |
Asia |
country |
Thailand Thailand |
content_provider |
Chiang Mai University Library |
collection |
CMU Intellectual Repository |
topic |
Medicine |
spellingShingle |
Medicine Pungkava Sricharoen Phichayut Phinyo Jayanton Patumanond Dilok Piyayotai Yuwares Sittichanbuncha Chaiyaporn Yuksen Khanchit Likittanasombat Ekpaiboon Cheuathonghua Clinical Predictors Influencing the Length of Stay in Emergency Department Patients Presenting with Acute Heart Failure |
description |
Background and objectives: Acute heart failure is a common problem encountered in the emergency department (ED). More than 80% of the patients with the condition subsequently require lengthy and repeated hospitalization. In a setting with limited in-patient capacity, the patient flow is often obstructed. Appropriate disposition decisions must be made by emergency physicians to deliver effective care and alleviate ED overcrowding. This study aimed to explore clinical predictors influencing the length of stay (LOS) in patients with acute heart failure who present to the ED. Materials and Methods: We conducted prognostic factor research with a retrospective cohort design. Medical records of patients with acute heart failure who presented to the ED of Ramathibodi Hospital from January to December 2015 were assessed for eligibility. Thirteen potential clinical predictors were selected as candidates for statistical modeling based on previous reports. Multivariable Poisson regression was used to estimate the difference in LOS between patients with and without potential predictors. Results: A total of 207 patients were included in the analysis. Most patients were male with a mean age of 74.2 ± 12.5 years. The median LOS was 54.6 h (Interquartile range 17.5, 149.3 h). From the multivariable analysis, four clinical characteristics were identified as independent predictors with an increase in LOS. These were patients with New York Heart Association (NYHA) functional class III/IV (+72.9 h, 95%Confidence interval (CI) 23.9, 121.8, p = 0.004), respiratory rate >24 per minute (+80.7 h, 95%CI 28.0, 133.3, p = 0.003), hemoglobin level <10 mg/dL (+60.4 h, 95%CI 8.6, 112.3, p = 0.022), and serum albumin <3.5 g/dL (+52.8 h, 95%CI 3.6, 102.0, p = 0.035). Conclusions: Poor NYHA functional class, tachypnea, anemia, and hypoalbuminemia are significant clinical predictors of patients with acute heart failure who required longer LOS. |
format |
Journal |
author |
Pungkava Sricharoen Phichayut Phinyo Jayanton Patumanond Dilok Piyayotai Yuwares Sittichanbuncha Chaiyaporn Yuksen Khanchit Likittanasombat Ekpaiboon Cheuathonghua |
author_facet |
Pungkava Sricharoen Phichayut Phinyo Jayanton Patumanond Dilok Piyayotai Yuwares Sittichanbuncha Chaiyaporn Yuksen Khanchit Likittanasombat Ekpaiboon Cheuathonghua |
author_sort |
Pungkava Sricharoen |
title |
Clinical Predictors Influencing the Length of Stay in Emergency Department Patients Presenting with Acute Heart Failure |
title_short |
Clinical Predictors Influencing the Length of Stay in Emergency Department Patients Presenting with Acute Heart Failure |
title_full |
Clinical Predictors Influencing the Length of Stay in Emergency Department Patients Presenting with Acute Heart Failure |
title_fullStr |
Clinical Predictors Influencing the Length of Stay in Emergency Department Patients Presenting with Acute Heart Failure |
title_full_unstemmed |
Clinical Predictors Influencing the Length of Stay in Emergency Department Patients Presenting with Acute Heart Failure |
title_sort |
clinical predictors influencing the length of stay in emergency department patients presenting with acute heart failure |
publishDate |
2020 |
url |
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85090106136&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/70785 |
_version_ |
1681752965908529152 |