Risk of Mortality and Readmission among Patients with Pelvic Fracture and Urinary Tract Infection: A Population-Based Cohort Study.
Ying-Cheng ChenCheng-Hsun ChuangMing-Hong HsiehHan-Wei YehChiao-Wen LinChiao-Wen LinYing-Tung YehJing-Yang HuangPei-Lun LiaoChi-Ho ChanChao-Bin YehPublished in: International journal of environmental research and public health (2021)
Patients with pelvic fractures could encounter various complications during or after treatments. This cohort study investigated the risk of mortality and readmissions in patients with pelvic fractures, with or without urinary tract infections (UTIs), within 30 days following the pelvic fractures. This retrospective cohort study examined claim records from the Longitudinal Health Insurance Database 2000 (LHID2000). We selected patients hospitalized with pelvic fractures between 1997 and 2013 for study. Patients who had index data before 2000 or after 2010 (n = 963), who died before the index date (n = 64), who were aged <18 years (n = 94), or who had a pelvic injury (n = 31) were excluded. In total, the study cohort comprised 1623 adult patients; 115 had UTIs, and 1508 patients without UTIs were used as a comparison cohort. Multivariate analysis with a multiple Cox regression model and Kaplan-Meier survival analysis were performed to analyze the data. Our results showed that the 1-year mortality rate (adjusted hazard ratio [HR]: 2.32; 95% CI: 1.25-4.29) and readmission rate (adjusted HR: 1.72; 95% CI: 1.26-3.34) of the UTI group were significantly higher than those of the non-UTI group. Moreover, the Kaplan-Meier curve for the 1-year follow-up indicated that the UTI group had a higher cumulative risk of both mortality and hospital readmission compared with the non-UTI group. In conclusion, among patients with pelvic fracture, patients with UTI were associated with increased risks of mortality and readmission. Physicians must pay more attention to such patients to prevent UTIs among patients with pelvic fractures during hospitalization and conduct a follow-up after discharge within at least 1 year.
Keyphrases
- urinary tract infection
- rectal cancer
- end stage renal disease
- health insurance
- newly diagnosed
- ejection fraction
- cardiovascular events
- risk factors
- chronic kidney disease
- prognostic factors
- peritoneal dialysis
- healthcare
- emergency department
- coronary artery disease
- machine learning
- patient reported
- working memory
- high resolution
- atomic force microscopy
- high speed