1
|
Wu Z, Peng G, Chen Z, Xiao X, Huang Z. Non-linear relationship between red blood cell distribution width and gastrointestinal bleeding risk in stroke patients: results from multi-center ICUs. Front Neurol 2024; 15:1346408. [PMID: 39006233 PMCID: PMC11239355 DOI: 10.3389/fneur.2024.1346408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 06/19/2024] [Indexed: 07/16/2024] Open
Abstract
Background The red blood cell distribution width (RDW) is closely linked to the prognosis of multiple diseases. However, the connection between RDW and gastrointestinal bleeding (GIB) in stroke patients is not well understood. This study aimed to clarify this association. Methods This retrospective study involved 11,107 hospitalized patients from 208 hospitals in the United States, admitted between January 1, 2014, and December 31, 2015. We examined clinical data from 7,512 stroke patients in the intensive care unit (ICU). Multivariate logistic regression assessed the link between RDW and in-hospital GIB in stroke patients. Generalized additive model (GAM) and smooth curve fitting (penalty spline method) were utilized to explore the non-linear relationship between RDW and GIB in stroke patients. The inflection point was calculated using a recursive algorithm, and interactions between different variables were assessed through subgroup analyses. Results Among the 11,107 screened stroke patients, 7,512 were included in the primary analysis, with 190 identified as having GIB. The participants had a mean age of (61.67 ± 12.42) years, and a median RDW of 13.9%. Multiple logistic analysis revealed RDW as a risk factor for in-hospital GIB in stroke patients (OR = 1.28, 95% CI 1.21, 1.36, p < 0.05). The relationship between RDW and in-hospital GIB in stroke patients was found to be non-linear. Additionally, the inflection point of RDW was 14.0%. When RDW was ≥14.0%, there was a positive association with the risk of GIB (OR: 1.24, 95% CI: 1.16, 1.33, p < 0.0001). Conversely, when RDW was <14.0%, this association was not significant (OR: 1.02, 95% CI: 0.97-1.07, p = 0.4040). Conclusion This study showed a substantial non-linear link between RDW and the risk of GIB in stroke patients. Maintaining the patient's RDW value below 14.0% could lower the risk of in-hospital GIB.
Collapse
Affiliation(s)
- Zhanxing Wu
- Department of Emergency Medicine, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Ganggang Peng
- Department of Emergency Medicine, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Zhongqing Chen
- Department of Emergency Medicine, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Xiaoyong Xiao
- Department of Emergency Medicine, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Zhenhua Huang
- Department of Emergency Medicine, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| |
Collapse
|
2
|
Liao Y, Zhang R, Shi S, Lin X, Wang Y, Wang Y, Chen W, Zhao Y, Bao K, Zhang K, Chen L, Fang Y. Red blood cell distribution width predicts gastrointestinal bleeding after coronary artery bypass grafting. BMC Cardiovasc Disord 2022; 22:436. [PMID: 36203150 PMCID: PMC9540710 DOI: 10.1186/s12872-022-02875-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 09/28/2022] [Indexed: 11/17/2022] Open
Abstract
Background Red blood cell distribution width (RDW) is highly associated with adverse clinical outcomes in many diseases. The present study aimed to evaluate the relationship between RDW and gastrointestinal bleeding (GIB) after isolated coronary artery bypass grafting (CABG). Methods This was a retrospective observational study that included 4473 patients who received CABG, and all the data were extracted from the Medical Information Mart for Intensive Care III database. Data collected included patient demographics, associated comorbid illnesses, laboratory parameters, and medications. The receiver operating characteristic (ROC) curve was used to determine the best cutoff value of RDW for the diagnosis of GIB. Multivariable logistic regression analysis was used to analyze the relationship between RDW and GIB. Results The incidence of GIB in patients receiving CABG was 1.1%. Quartile analyses showed a significant increase in GIB incidence at the fourth RDW quartile (> 14.3%; P < 0.001). The ROC curve analysis revealed that an RDW level > 14.1% measured on admission had 59.6% sensitivity and 69.4% specificity in predicting GIB after CABG. After adjustment for confounders, high RDW was still associated with an increased risk of GIB in patients with CABG (odds ratio = 2.83, 95% confidence interval 1.46–5.51, P = 0.002). Conclusions Our study indicates that the elevated RDW level is associated with an increased risk of GIB after CABG, and it can be an independent predictor of GIB. The introduction of RDW to study GIB enriches the diagnosis method of GIB and ensures the rapid and accurate diagnosis of GIB.
Collapse
Affiliation(s)
- Ying Liao
- Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China
| | - Rongting Zhang
- Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.,The Graduate School of Clinical Medicine, Fujian Medical University, Fuzhou, 350000, China
| | - Shanshan Shi
- Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.,The Graduate School of Clinical Medicine, Fujian Medical University, Fuzhou, 350000, China
| | - Xueqin Lin
- Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.,The Graduate School of Clinical Medicine, Fujian Medical University, Fuzhou, 350000, China
| | - Yani Wang
- Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.,The Graduate School of Clinical Medicine, Fujian Medical University, Fuzhou, 350000, China
| | - Yun Wang
- Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China
| | - Weihua Chen
- Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.,The Graduate School of Clinical Medicine, Fujian Medical University, Fuzhou, 350000, China
| | - Yukun Zhao
- Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.,The Graduate School of Clinical Medicine, Fujian Medical University, Fuzhou, 350000, China
| | - Kunming Bao
- Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.,The Graduate School of Clinical Medicine, Fujian Medical University, Fuzhou, 350000, China
| | - Kaijun Zhang
- Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
| | - Liling Chen
- Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
| | - Yong Fang
- Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
| |
Collapse
|