Effects of acetaminophen use on mortality of patients with acute respiratory distress syndrome: secondary data mining based on the MIMIC-IV database
- Open Access
- 01-12-2024
- Paracetamol
- Research
- Authors
- Tong Wang
- Hongzhen Yin
- Guanggui Shen
- Yingya Cao
- Xuemei Qin
- Qiancheng Xu
- Yupeng Qi
- Xiaogan Jiang
- Weihua Lu
- Published in
- BMC Pulmonary Medicine | Issue 1/2024
Abstract
Background
Acetaminophen is a commonly used analgesic after surgery, and its impact on prognosis in patients with acute respiratory distress syndrome (ARDS) has not been studied. This study explores the association between the use of acetaminophen and the risk of mortality in patients with ARDS.
Methods
In this retrospective cohort study, 3,227 patients with ARDS who had or had not received acetaminophen were obtained from the Medical Information Mart for Intensive Care IV, patients were divided into acetaminophen and non- acetaminophen groups. In-hospital mortality of ARDS patients was considered as primary end point. We used univariate and multivariate Cox regression analyses to assess the relationship of acetaminophen use and in-hospital mortality in patients with ARDS. Subgroup analysis was performed according to age, gender, and severity of ARDS.
Results
Of the total patients, 2,438 individuals were identified as acetaminophen users. The median duration of follow-up was 10.54 (5.57, 18.82) days. The results showed that the acetaminophen use was associated with a decreased risk of in-hospital mortality [hazard ratio (HR) = 0.67, 95% confidence interval (CI): 0.57–0.78]. Across various subgroups of patients with ARDS based on age, gender, and severity, acetaminophen use exhibited an association with reduced risk of in-hospital mortality.
Conclusion
Acetaminophen use was associated with in-hospital mortality of patients with ARDS. Acetaminophen therapy may represent a promising therapeutic option for ARDS patients and warrants further investigation.
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- Title
- Effects of acetaminophen use on mortality of patients with acute respiratory distress syndrome: secondary data mining based on the MIMIC-IV database
- Authors
-
Tong Wang
Hongzhen Yin
Guanggui Shen
Yingya Cao
Xuemei Qin
Qiancheng Xu
Yupeng Qi
Xiaogan Jiang
Weihua Lu
- Publication date
- 01-12-2024
- Publisher
- BioMed Central
- Published in
-
BMC Pulmonary Medicine / Issue 1/2024
Electronic ISSN: 1471-2466 - DOI
- https://doi.org/10.1186/s12890-024-03379-x
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