Platelet count has a U-shaped association with mortality in hemodialysis patients

Our previous manuscript showed that thrombocytopenia predicts all-cause mortality in Chinese hemodialysis (HD) patients. Based on the role of platelets in coagulation, clot formation, and systemic inflammation, we speculate that high platelets increase risk of thrombo-embolic events, hence the mortality. However, research evidence is currently lacking. Therefore, we utilized data from a very large international cohort study to explore the association of platelet counts with mortality and cardiovascular (CV) death in hemodialysis (HD) patients. International data from 396 facilities enrolled in the Dialysis Outcomes and Practice Patterns Study (DOPPS) phase 5 (2012-2015) were analyzed. Participants were divided into 3 groups according to their platelet counts (low: <100, normal: 100-300, high: >300*10<sup>9</sup>). Associations between platelet counts and all-cause and CV mortality were analyzed using Cox regression, adjusted for confounders. There were 13,631 patients with median age of 65 years old. Males accounted for 61.2%. Mean platelet count was 205*10<sup>9</sup>/L overall and ranged from 173 *10<sup>9</sup>/L in China to 227 *10<sup>9</sup>/L in Sweden. Overall, 2,348 (17.2%) patients died and 1017 (7.5%) died from CV disease. Both low (HR:1.48, 95% CI 1.21-1.80, p < 0.001) and high (HR:1.17, 95% CI 1.00- 1.35, p = 0.044) platelet counts were associated with higher all-cause mortality after adjustment for covariates; results for CV death were consistent. Platelet count has a U-shaped association with all-cause and CV mortality in HD patients, and thus may be used as an outcome predictor that is readily available among HD patients.

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Publication Details

Journal
Scientific Reports
Published
2024-11-04
DOI
https://doi.org/10.1038/s41598-024-77718-7
Citations
4
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
1.13

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article

Platelet count has a U-shaped association with mortality in hemodialysis patients

Xiaonong Chen, Fan Fan Hou, Xinling Liang, Zhaohui Ni et al.
4 citations
Scientific Reports
Inflammatory Biomarkers in Disease Prognosis
1.13
article

Platelet count has a U-shaped association with mortality in hemodialysis patients

Xiaonong Chen, Fan Fan Hou, Xinling Liang, Zhaohui Ni, Roberto Pecoits‐Filho, Angelo Karaboyas, Liangying Gan, Xinju Zhao, Yuqing Chen, Li Zuo
article en
4 citations

Abstract

Our previous manuscript showed that thrombocytopenia predicts all-cause mortality in Chinese hemodialysis (HD) patients. Based on the role of platelets in coagulation, clot formation, and systemic inflammation, we speculate that high platelets increase risk of thrombo-embolic events, hence the mortality. However, research evidence is currently lacking. Therefore, we utilized data from a very large international cohort study to explore the association of platelet counts with mortality and cardiovascular (CV) death in hemodialysis (HD) patients. International data from 396 facilities enrolled in the Dialysis Outcomes and Practice Patterns Study (DOPPS) phase 5 (2012-2015) were analyzed. Participants were divided into 3 groups according to their platelet counts (low: <100, normal: 100-300, high: >300*10<sup>9</sup>). Associations between platelet counts and all-cause and CV mortality were analyzed using Cox regression, adjusted for confounders. There were 13,631 patients with median age of 65 years old. Males accounted for 61.2%. Mean platelet count was 205*10<sup>9</sup>/L overall and ranged from 173 *10<sup>9</sup>/L in China to 227 *10<sup>9</sup>/L in Sweden. Overall, 2,348 (17.2%) patients died and 1017 (7.5%) died from CV disease. Both low (HR:1.48, 95% CI 1.21-1.80, p < 0.001) and high (HR:1.17, 95% CI 1.00- 1.35, p = 0.044) platelet counts were associated with higher all-cause mortality after adjustment for covariates; results for CV death were consistent. Platelet count has a U-shaped association with all-cause and CV mortality in HD patients, and thus may be used as an outcome predictor that is readily available among HD patients.

Scientific ReportsVol. 14(1)
Shanghai Jiao Tong University (CN), Peking University (CN), Renji Hospital (CN), Ruijin Hospital (CN), Nanfang Hospital (CN), Peking University People's Hospital (CN), Peking University First Hospital (CN), Arbor Research Collaborative for Health (US), Guangdong Academy of Medical Sciences (CN), Guangdong Provincial People's Hospital (CN), Southern Medical University (CN)
Sanofi, Nipro, Peking University, Peking University People's Hospital
Good health and well-being
Openalex Percentile: Top 18%
Inflammatory Biomarkers in Disease Prognosis
1.13
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