1
|
Shi Y, Shi Y, Xu Z, Wang Y. Association of Red Cell Index and Hospital Mortality in Chronic Obstructive Pulmonary Disease Patients Admitted to the Intensive Care Unit: A Retrospective Cohort Study. Int J Chron Obstruct Pulmon Dis 2023; 18:2267-2276. [PMID: 37868623 PMCID: PMC10588751 DOI: 10.2147/copd.s427433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 10/03/2023] [Indexed: 10/24/2023] Open
Abstract
Purpose This study aims to explore the association between red cell index (RCI) and hospital mortality in Chronic Obstructive Pulmonary Disease (COPD) patients in the intensive care unit. Patients and Methods This was a retrospective cohort research. The study included 821 COPD patients. Clinical data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database was conducted. Multivariate logistic regression analysis was used to assess the correlation between RCI and in-hospital mortality. Age, SOFA score, diabetes mellitus, cerebrovascular disease, congestive heart failure and mechanical ventilation were considered for subgroup analysis. Results This study comprised 821 patients, of which 16.5% (124/821) suffered hospital mortality. In the multivariate logistic regression model, RCI was positively associated with hospital mortality, each unit increase in RCI was associated with a 3% increase in hospital mortality (odds ratio [OR] =1.03; 95% confidence interval [95CI%] =1.01-1.06). Meanwhile, compare with the lowest RCI group, the highest RCI groups tended to have higher risks of hospital mortality (OR [95% CI] 2.33 [1.27-4.27]). Additionally, subgroup analysis result was persistent among all the groups. Conclusion Higher RCI was positively associated with a higher risk of mortality in critically ill patients with COPD. Further investigation is necessary to confirm these findings.
Collapse
Affiliation(s)
- Yushan Shi
- Department of Laboratory, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250000, People’s Republic of China
| | - Yanfei Shi
- Department of Pulmonary Disease, Dezhou Hospital of Traditional Chinese Medicine, Dezhou, Shanfdong, 253000, People’s Republic of China
| | - Zhangmeng Xu
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 610075, People’s Republic of China
| | - Yan Wang
- Department of Pulmonary and Critical Care Medicine, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250000, People’s Republic of China
| |
Collapse
|
2
|
Qian M, Zhou X, Gao B, Huang H, Yang C, Zeng T, Shen J, Hu J, Sun F, Li S, Huang X, Chen G. Red cell index: A novel biomarker for 3-month mortality in acute ischemic stroke patients treated with intravenous thrombolysis. Brain Behav 2021; 11:e02170. [PMID: 33943024 PMCID: PMC8213941 DOI: 10.1002/brb3.2170] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 04/09/2021] [Accepted: 04/18/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND The red cell index (RCI) was described as a biomarker for evaluating respiratory function in previous studies, but the relationship between RCI and stroke, remained a mystery. The present study aimed to probe the association between RCI at 24-hr and 3-month mortality and functional outcomes among acute ischemic stroke (AIS) patients treated with recombinant tissue plasminogen activator (r-tPA). METHODS A total of 217 AIS patients between January 2016 and January 2019 were recruited in this retrospective study. AIS patients were grouped in terms of RCI tertiles. Predictive factors were confirmed via multivariate logistic regression analysis. The receiver operating characteristic (ROC) was used to assess the ability of RCI in predicting mortality. In addition, the risk of 3-month all-cause mortality was evaluated by Cox proportional hazard model. RESULTS We grouped AIS patients into tertiles with the purpose of comparing clinical factors and RCI levels. Multivariate logistic regression analysis presented that RCI (odds ratio [OR] = 1.443, 95% confidence interval [CI] [1.167-1.786], p = 0.001) was an independent biomarker for 3-month all-cause mortality. The best cutoff value of RCI was 2.41 (area under the curve [AUC] = 0.639, 95% CI [0.501-0.778], p = .032), with a sensitivity of 40.9% and a specificity of 89.7%. Cox survival analysis demonstrated a positive significant correlation between RCI (hazard ratio [HR] = 1.332, 95% CI [1.148-1.545], p < .001) and mortality risk. CONCLUSION RCI, a potential predictor, was significantly associated with 3-month mortality in AIS patients with r-tPA.
Collapse
Affiliation(s)
- Meizi Qian
- Department of Anesthesia, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xinbo Zhou
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Beibei Gao
- Department of Internal Medicine, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Honghao Huang
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Chenguang Yang
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Tian Zeng
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Jiamin Shen
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Jingyu Hu
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Fangyue Sun
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Shengqi Li
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Xuerong Huang
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Guangyong Chen
- Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| |
Collapse
|