| Literature DB >> 35682538 |
Sheng-Der Hsu1, Cheng-Jueng Chen2, Yu-Ching Chou3, Sheng-Hao Wang4, De-Chuan Chan2.
Abstract
Text Correction  [...].Entities:
Year: 2022 PMID: 35682538 PMCID: PMC9179958 DOI: 10.3390/ijerph19116654
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Logistic regression analysis of risk factors.
| Variable | Univariate OR (95% CI) | Multivariate OR (95% CI) | ||
|---|---|---|---|---|
| ICU_LOS | 0.95 (0.87–1.04) | 0.269 | 0.77 (0.51–1.17) | 0.219 |
| Result (died vs. nondied) | 0.76 (0.27–2.16) | 0.600 | 0.00326 (0.00001–0.73888) | 0.039 |
OR—odds ratio; CI—confidence interval. Logistic regression was used to adjust for age, gender, systolic blood pressure, prerespiration, respiration, ISS, morbidity, angiography for TAE, AIS, and fracture classification.