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Independent predictors for 90-day readmission of emergency department patients admitted with sepsis: a prospective cohort study
BACKGROUND: The primary objective of our study was to examine predictors for readmission in a prospective cohort of sepsis patients admitted to an emergency department (ED) and identified by the new Sepsis-3 criteria. METHOD: A single-center observational population-based cohort study among all adul...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017866/ https://www.ncbi.nlm.nih.gov/pubmed/33794801 http://dx.doi.org/10.1186/s12879-021-06007-9 |
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author | Stenholt, Peer Oscar Overgaard Abdullah, S. M. Osama Bin Sørensen, Rune Husås Nielsen, Finn Erland |
author_facet | Stenholt, Peer Oscar Overgaard Abdullah, S. M. Osama Bin Sørensen, Rune Husås Nielsen, Finn Erland |
author_sort | Stenholt, Peer Oscar Overgaard |
collection | PubMed |
description | BACKGROUND: The primary objective of our study was to examine predictors for readmission in a prospective cohort of sepsis patients admitted to an emergency department (ED) and identified by the new Sepsis-3 criteria. METHOD: A single-center observational population-based cohort study among all adult (≥18 years) patients with sepsis admitted to the emergency department of Slagelse Hospital during 1.10.2017–31.03.2018. Sepsis was defined as an increase in the sequential organ failure assessment (SOFA) score of ≥2. The primary outcome was 90-day readmission. We followed patients from the date of discharge from the index admission until the end of the follow-up period or until the time of readmission to hospital, emigration or death, whichever came first. We used competing-risks regression to estimate adjusted subhazard ratios (aSHRs) with 95% confidence intervals (CI) for covariates in the regression models. RESULTS: A total of 2110 patients were admitted with infections, whereas 714 (33.8%) suffered sepsis. A total of 52 patients had died during admission and were excluded leaving 662 patients (44.1% female) with a median age of 74.8 (interquartile range: 66.0–84.2) years for further analysis. A total of 237 (35,8%; 95% CI 32.1–39.6) patients were readmitted within 90 days, and 54(8.2%) had died after discharge without being readmitted. We found that a history of malignant disease (aSHR 1,61; 1.16–2.23), if previously admitted with sepsis within 1 year before the index admission (aSHR; 1.41; 1.08–1.84), and treatment with diuretics (aSHR 1.51; 1.17–1.94) were independent predictors for readmission. aSHR (1.49, 1.13–1.96) for diuretic treatment was almost unchanged after exclusion of patients with heart failure, while aSHR (1.47, 0.96–2.25) for malignant disease was slightly attenuated after exclusion of patients with metastatic tumors. CONCLUSIONS: More than one third of patients admitted with sepsis, and discharged alive, were readmitted within 90 days. A history of malignant disease, if previously admitted with sepsis, and diuretic treatment were independent predictors for 90-day readmission. |
format | Online Article Text |
id | pubmed-8017866 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-80178662021-04-05 Independent predictors for 90-day readmission of emergency department patients admitted with sepsis: a prospective cohort study Stenholt, Peer Oscar Overgaard Abdullah, S. M. Osama Bin Sørensen, Rune Husås Nielsen, Finn Erland BMC Infect Dis Research Article BACKGROUND: The primary objective of our study was to examine predictors for readmission in a prospective cohort of sepsis patients admitted to an emergency department (ED) and identified by the new Sepsis-3 criteria. METHOD: A single-center observational population-based cohort study among all adult (≥18 years) patients with sepsis admitted to the emergency department of Slagelse Hospital during 1.10.2017–31.03.2018. Sepsis was defined as an increase in the sequential organ failure assessment (SOFA) score of ≥2. The primary outcome was 90-day readmission. We followed patients from the date of discharge from the index admission until the end of the follow-up period or until the time of readmission to hospital, emigration or death, whichever came first. We used competing-risks regression to estimate adjusted subhazard ratios (aSHRs) with 95% confidence intervals (CI) for covariates in the regression models. RESULTS: A total of 2110 patients were admitted with infections, whereas 714 (33.8%) suffered sepsis. A total of 52 patients had died during admission and were excluded leaving 662 patients (44.1% female) with a median age of 74.8 (interquartile range: 66.0–84.2) years for further analysis. A total of 237 (35,8%; 95% CI 32.1–39.6) patients were readmitted within 90 days, and 54(8.2%) had died after discharge without being readmitted. We found that a history of malignant disease (aSHR 1,61; 1.16–2.23), if previously admitted with sepsis within 1 year before the index admission (aSHR; 1.41; 1.08–1.84), and treatment with diuretics (aSHR 1.51; 1.17–1.94) were independent predictors for readmission. aSHR (1.49, 1.13–1.96) for diuretic treatment was almost unchanged after exclusion of patients with heart failure, while aSHR (1.47, 0.96–2.25) for malignant disease was slightly attenuated after exclusion of patients with metastatic tumors. CONCLUSIONS: More than one third of patients admitted with sepsis, and discharged alive, were readmitted within 90 days. A history of malignant disease, if previously admitted with sepsis, and diuretic treatment were independent predictors for 90-day readmission. BioMed Central 2021-04-01 /pmc/articles/PMC8017866/ /pubmed/33794801 http://dx.doi.org/10.1186/s12879-021-06007-9 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Stenholt, Peer Oscar Overgaard Abdullah, S. M. Osama Bin Sørensen, Rune Husås Nielsen, Finn Erland Independent predictors for 90-day readmission of emergency department patients admitted with sepsis: a prospective cohort study |
title | Independent predictors for 90-day readmission of emergency department patients admitted with sepsis: a prospective cohort study |
title_full | Independent predictors for 90-day readmission of emergency department patients admitted with sepsis: a prospective cohort study |
title_fullStr | Independent predictors for 90-day readmission of emergency department patients admitted with sepsis: a prospective cohort study |
title_full_unstemmed | Independent predictors for 90-day readmission of emergency department patients admitted with sepsis: a prospective cohort study |
title_short | Independent predictors for 90-day readmission of emergency department patients admitted with sepsis: a prospective cohort study |
title_sort | independent predictors for 90-day readmission of emergency department patients admitted with sepsis: a prospective cohort study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017866/ https://www.ncbi.nlm.nih.gov/pubmed/33794801 http://dx.doi.org/10.1186/s12879-021-06007-9 |
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