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Wu YC, Chen HH, Chao WC. Association between red blood cell distribution width and 30-day mortality in critically ill septic patients: a propensity score-matched study. J Intensive Care 2024; 12:34. [PMID: 39294760 PMCID: PMC11409593 DOI: 10.1186/s40560-024-00747-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Accepted: 08/28/2024] [Indexed: 09/21/2024] Open
Abstract
BACKGROUND Sepsis is the leading cause of death worldwide, and a number of biomarkers have been developed for early mortality risk stratification. Red blood cell distribution width (RDW) is a routinely available hematological data and has been found to be associated with mortality in a number of diseases; therefore, we aim to address the association between RDW and mortality in critically ill patients with sepsis. METHODS We analyzed data of critically ill adult patients with sepsis on the TriNetX platform, excluding those with hematologic malignancies, thalassemia, and iron deficiency anemia. Propensity score-matching (PSM) (1:1) was used to mitigate confounding effects, and hazard ratio (HR) with 95% confidence (CI) was calculated to determine the association between RDW and 30-day mortality. We further conducted sensitivity analyses through using distinct cut-points of RDW and severities of sepsis. RESULTS A total of 256,387 critically ill septic patients were included in the analysis, and 40.0% of them had RDW equal to or higher than 16%. After PSM, we found that high RDW was associated with an increased 30-day mortality rate (HR: 1.887, 95% CI 1.847-1.928). The associations were consistent using distinct cut-points of RDW, with the strength of association using cut-points of 12%, 14%, 16%, 18% and 20% were 2.098, 2.204, 1.887, 1.809 and 1.932, respectively. Furthermore, we found consistent associations among critically ill septic patients with distinct severities, with the association among those with shock, receiving mechanical ventilation, bacteremia and requirement of hemodialysis being 1.731, 1.735, 2.380 and 1.979, respectively. CONCLUSION We found that RDW was associated with 30-day mortality in critically ill septic patients, underscoring the potential as a prognostic marker in sepsis. More studies are needed to explore the underlying mechanisms.
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Affiliation(s)
- Yu-Cheng Wu
- Department of Critical Care Medicine, Taichung Veterans General Hospital, Taichung City, Taiwan
- Doctoral Program in Translational Medicine, National Chung Hsing University, Taichung City, Taiwan
| | - Hsin-Hua Chen
- Division of Clinical Informatics, Center of Quality Management, Taichung Veterans General Hospital, Taichung City, Taiwan
- Department of post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung City, Taiwan
- Big Data Center, National Chung Hsing University, Taichung City, Taiwan
| | - Wen-Cheng Chao
- Department of Critical Care Medicine, Taichung Veterans General Hospital, Taichung City, Taiwan.
- Department of post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung City, Taiwan.
- Big Data Center, National Chung Hsing University, Taichung City, Taiwan.
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Chen W, Yu P, Chen C, Cai S, Chen J, Zheng C, Chen C, Zheng L, Guo C. Association Between the Red Blood Cell Distribution Width and 30-Day Mortality in Intensive Care Patients Undergoing Cardiac Surgery: A Retrospective Observational Study Based on the Medical Information Mart for Intensive Care-IV Database. Ann Lab Med 2024; 44:401-409. [PMID: 38469636 PMCID: PMC11169773 DOI: 10.3343/alm.2023.0345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 12/06/2023] [Accepted: 02/13/2024] [Indexed: 03/13/2024] Open
Abstract
Background Millions of patients undergo cardiac surgery each year. The red blood cell distribution width (RDW) could help predict the prognosis of patients who undergo percutaneous coronary intervention or coronary artery bypass surgery. We investigated whether the RDW has robust predictive value for the 30-day mortality among patients in an intensive care unit (ICU) after undergoing cardiac surgery. Methods Using the Medical Information Mart for Intensive Care-IV Database, we retrieved data for 11,634 patients who underwent cardiac surgery in an ICU. We performed multivariate Cox regression analysis to model the association between the RDW and 30-day mortality and plotted Kaplan-Meier curves. Subgroup analyses were stratified using relevant covariates. Receiver operating characteristic (ROC) curves were used to determine the predictive value of the RDWs. Results The total 30-day mortality rate was 4.2% (485/11,502). The elevated-RDW group had a higher 30-day mortality rate than the normal-RDW group (P&0.001). The robustness of our data analysis was confirmed by performing subgroup analyses. Each unit increase in the RDW was associated with a 17% increase in 30-day mortality when the RDW was used as a continuous variable (adjusted hazard ratio=1.17, 95% confidence interval, 1.10-1.25). Our ROC results showed the predictive value of the RDW. Conclusions An elevated RDW was associated with a higher 30-day mortality in patients after undergoing cardiac surgery in an ICU setting. The RDW can serve as an efficient and accessible method for predicting the mortality of patients in ICUs following cardiac surgery.
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Affiliation(s)
- Weiqiang Chen
- Department of Anaesthesiology, Shantou Central Hospital, Shantou, Guangdong, China
| | - Peiling Yu
- Department of Anaesthesiology, Third People’s Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, Sichuan, China
| | - Chao Chen
- Department of Anaesthesiology, Shantou Central Hospital, Shantou, Guangdong, China
| | - Shaoyan Cai
- Department of Anaesthesiology, Shantou Central Hospital, Shantou, Guangdong, China
| | - Junheng Chen
- Department of Anaesthesiology, Shantou Central Hospital, Shantou, Guangdong, China
| | - Chunqin Zheng
- Department of Anaesthesiology, Shantou Central Hospital, Shantou, Guangdong, China
| | - Chaojin Chen
- Department of Anaesthesiology, the Third Affiliated Hospital of Sun Yat-Sen University, Guangdong, China
| | - Liangjie Zheng
- Department of Anaesthesiology, Shantou Central Hospital, Shantou, Guangdong, China
| | - Chunming Guo
- Department of Anaesthesiology, Shantou Central Hospital, Shantou, Guangdong, China
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Hu Y, Shen W, Pan Y. The prognostic value of red blood cell distribution width for pulmonary infection in elderly patients received abdominal surgery with tracheal intubation and general anesthesia. J Natl Med Assoc 2023; 115:519-527. [PMID: 37852881 DOI: 10.1016/j.jnma.2023.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 07/16/2023] [Accepted: 09/25/2023] [Indexed: 10/20/2023]
Abstract
BACKGROUND Red blood cell distribution width (RDW) has been shown to be an important predictor of the occurrence of various inflammatory and infectious diseases. However, the predictive value of RDW for pulmonary infection in elderly patients undergoing abdominal surgery under general anesthesia with endotracheal intubation remains unclear. METHODS A total of 200 eligible elderly patients who underwent abdominal surgery with endotracheal intubation and general anesthesia in our hospital from January 2019 to January 2022 were included in this study. During hospitalization, there were 64 cases with different degrees of pulmonary infection, and 136 cases without pulmonary infection. Participants' RDW levels were analyzed on admission. Serum levels of inflammatory factors in infected patients were analyzed during hospitalization. Multivariate logistic analysis was performed to evaluate clinical factors for pulmonary infection during hospitalization following-up abdominal surgery with endotracheal intubation and general anesthesia in elderly patients. Youden's J statistic was used to define the correlation. RESULTS RDW at admission was independently associated with the risk of pulmonary infection in elderly patients undergoing general anesthesia with endotracheal intubation for abdominal surgery ([OR 1.952, 95% confidence interval 1.604 to 2.279, p=0.006]). RDW at admission was statistically positively correlated with inflammatory factors, including procalcitonin (p<0.001), C-reactive protein (p<0.001), and tumor necrosis factor-α (p<0.001), in elderly patients with postoperative pneumonia who underwent abdominal surgery. CONCLUSION RDW at admission had predictive value for pulmonary infection in elderly patients undergoing abdominal surgery under general anesthesia with endotracheal intubation.
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Affiliation(s)
- Yifeng Hu
- Department of Anesthesiology, Wuxi No.2 People's Hospital, Jiangnan University Medical Center, JUMC, No. 68 Zhongshan Road, Wuxi 214000, Jiangsu, China
| | - Weihong Shen
- Department of Anesthesiology, Wuxi No.2 People's Hospital, Jiangnan University Medical Center, JUMC, No. 68 Zhongshan Road, Wuxi 214000, Jiangsu, China
| | - Yunsong Pan
- Department of Anesthesiology, Wuxi No.2 People's Hospital, Jiangnan University Medical Center, JUMC, No. 68 Zhongshan Road, Wuxi 214000, Jiangsu, China.
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Su Y, Guo C, Zhou S, Li C, Ding N. Early predicting 30-day mortality in sepsis in MIMIC-III by an artificial neural networks model. Eur J Med Res 2022; 27:294. [PMID: 36528689 PMCID: PMC9758460 DOI: 10.1186/s40001-022-00925-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 12/02/2022] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE Early identifying sepsis patients who had higher risk of poor prognosis was extremely important. The aim of this study was to develop an artificial neural networks (ANN) model for early predicting clinical outcomes in sepsis. METHODS This study was a retrospective design. Sepsis patients from the Medical Information Mart for Intensive Care-III (MIMIC-III) database were enrolled. A predictive model for predicting 30-day morality in sepsis was performed based on the ANN approach. RESULTS A total of 2874 patients with sepsis were included and 30-day mortality was 29.8%. The study population was categorized into the training set (n = 1698) and validation set (n = 1176) based on the ratio of 6:4. 11 variables which showed significant differences between survivor group and nonsurvivor group in training set were selected for constructing the ANN model. In training set, the predictive performance based on the area under the receiver-operating characteristic curve (AUC) were 0.873 for ANN model, 0.720 for logistic regression, 0.629 for APACHEII score and 0.619 for SOFA score. In validation set, the AUCs of ANN, logistic regression, APAHCEII score, and SOFA score were 0.811, 0.752, 0.607, and 0.628, respectively. CONCLUSION An ANN model for predicting 30-day mortality in sepsis was performed. Our predictive model can be beneficial for early detection of patients with higher risk of poor prognosis.
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Affiliation(s)
- Yingjie Su
- grid.412017.10000 0001 0266 8918Department of Emergency Medicine, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, NO. 161 Shaoshan South Road, Changsha, 410004 Hunan China
| | - Cuirong Guo
- grid.412017.10000 0001 0266 8918Department of Emergency Medicine, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, NO. 161 Shaoshan South Road, Changsha, 410004 Hunan China
| | - Shifang Zhou
- grid.412017.10000 0001 0266 8918Department of Emergency Medicine, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, NO. 161 Shaoshan South Road, Changsha, 410004 Hunan China
| | - Changluo Li
- grid.412017.10000 0001 0266 8918Department of Emergency Medicine, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, NO. 161 Shaoshan South Road, Changsha, 410004 Hunan China
| | - Ning Ding
- grid.412017.10000 0001 0266 8918Department of Emergency Medicine, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, NO. 161 Shaoshan South Road, Changsha, 410004 Hunan China
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Ding Q, Su Y, Li C, Ding N. Red cell distribution width and in-hospital mortality in septic shock: A public database research. Int J Lab Hematol 2022; 44:861-867. [PMID: 35751402 DOI: 10.1111/ijlh.13925] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 06/12/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVE This study aimed to explore the relationship between red cell distribution width (RDW) and in-hospital mortality in septic shock based on a large-scale public database. METHODS All patients with septic shock in MIMIC-IV were enrolled. Based on RDW values, the general characteristics of different groups were compared. Different models were constructed for exploring the association of RDW and in-hospital mortality. To assess the predictive value of RDW, receiver operator characteristic (ROC) curve analysis was applied. RESULTS A total of 3006 patients with septic shock were included and in-hospital mortality was 32.27% (n = 970). The results of the fully adjusted model demonstrated that RDW was positively associated with in-hospital mortality in septic shock patients after adjusting all confounders (OR = 1.12, 95% CI:1.08-1.17, p < .001). A linear relationship between RDW and in-hospital mortality was found. For predicting in-hospital mortality, the area under the ROC curve (AUC) of RDW was .602 and the best threshold of RDW was 17.25%. CONCLUSION RDW was associated with in-hospital mortality in septic shock. It could be a useful marker for predicting clinical outcomes in septic shock.
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Affiliation(s)
- Qiong Ding
- Department of Nursing, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China
| | - Yingjie Su
- Department of Emergency Medicine, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China
| | - Changluo Li
- Department of Emergency Medicine, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China
| | - Ning Ding
- Department of Emergency Medicine, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China
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