ArticleBurns & trauma2024
Serial platelet count as a dynamic prediction marker of hospital mortality among septic patients.
Article in Burns & trauma, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
- Sepsis-associated endothelial dysfunction: clinical phenotypes, biomarkers, bedside evidence, and translational implications.The Journal of clinical investigation · 2026Review
- Impact of dynamic blood glucose trajectories on mortality in critically ill non-traumatic intracranial hemorrhage patients: a retrospective cohort study.BMC neurology · 2026Article
- Dynamic prediction of adverse outcomes in discharged COPD patients using patient-reported outcomes.BMC medical research methodology · 2026Observational
- Association of complete blood count parameters with adverse outcomes in acute pediatric pneumonia.Pediatric research · 2026Article
- Prognostic impact of platelet count trajectories in acute decompensated heart failure: a retrospective cohort analysis.BMC cardiovascular disorders · 2026Article
- Association between red blood cell distribution width-platelet ratio and mortality in patients with sepsis-induced coagulopathy from the MIMIC-IV database: a retrospective cohort study.BMC infectious diseases · 2026Article
- Machine learning analysis of s-EASIX for predicting 30-day mortality in sepsis patients from MIMIC-IV.Scientific reports · 2026Article
- Trajectory of early creatinine change is associated with the prognosis of sepsis patients.BMC infectious diseases · 2026Article
- Prognostic value and nonlinear association of the rdw/albumin ratio with mortality among COVID-19 patients: a MIMIC-IV database analysis.BMC infectious diseases · 2026Article
- Platelet Recovery and Mortality in Septic Patients with Thrombocytopenia: A Propensity Score-Matched Analysis of the MIMIC-IV Database.Journal of clinical medicine · 2026Article
- Article
- Development and validation of a dynamic prediction model for infective endocarditis patients based on platelet trajectories latent classes: a longitudinal retrospective study from multicenter databases.International journal of surgery (London, England) · 2026Article
- Correlation between sub-phenotypes of coagulopathy and prognosis in sepsis patients in ICU using longitudinal group trajectory modeling: a retrospective analysis.European journal of medical research · 2026Article
- Platelet-to-White Blood Cell Ratio as a Predictor of ICU Mortality in Septic Shock and Heart Failure: A Real-World Validation Study Using the MIMIC-eICU and a Chinese Cohort.Journal of inflammation research · 2026Article
- Longitudinal sepsis-induced coagulopathy score trajectories and mortality in relation to early prophylactic heparin: a multicentre cohort study.Frontiers in cellular and infection microbiology · 2026Article
- Failure of early lymphocyte recovery identifies sepsis patients with initial lymphopenia at highest risk for late mortality.PloS one · 2026Article
- Observational
- Postoperative platelet dynamic trajectories in patients with type A aortic dissection and development of a predictive model for thrombocytopenia.Frontiers in cardiovascular medicine · 2026Article
- Article
- Stratified assessment of platelets in sepsis: from dynamic counts to functional phenotypes.Frontiers in immunology · 2026Review
Corrections and comments
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8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Platelets play a critical role in hemostasis and inflammatory diseases. Low platelet count and activity have been reported to be associated with unfavorable prognosis. This study aims to explore the relationship between dynamics in platelet count and in-hospital morality among septic patients and to provide real-time updates on mortality risk to achieve dynamic prediction. Methods: We conducted a multi-cohort, retrospective, observational study that encompasses data on septic patients in the eICU Collaborative Research Database (eICU-CRD) and the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. The joint latent class model (JLCM) was utilized to identify heterogenous platelet count trajectories over time among septic patients. We assessed the association between different trajectory patterns and 28-day in-hospital mortality using a piecewise Cox hazard model within each trajectory. We evaluated the performance of our dynamic prediction model through area under the receiver operating characteristic curve, concordance index (C-index), accuracy, sensitivity, and specificity calculated at predefined time points. Results: Four subgroups of platelet count trajectories were identified that correspond to distinct in-hospital mortality risk. Including platelet count did not significantly enhance prediction accuracy at early stages (day 1 C-index Conclusions: For septic patients in an intensive care unit, the rapid decline in platelet counts is a critical prognostic factor, and serial platelet measures are associated with prognosis.
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