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Peer-reviewedCC BYBMC neurology

Platelet trajectory patterns and 28-day mortality in ICU stroke patients: a retrospective cohort study based on the MIMIC-IV database.

  • Tao Chen1,2
  • Rui Liang3
  • Riping Xu4
  • Can Chen5,6
6 affiliations
  1. 1Jinan University, Guangzhou, 510632, China.
  2. 2Department of Cardiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, Guangdong, China.
  3. 3Department of Neurology, Institute of Neuroscience, Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, China.
  4. 4Department of Anesthesiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, Guangdong, China.
  5. 5Jinan University, Guangzhou, 510632, China. [email protected].
  6. 6Department of Cardiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, Guangdong, China. [email protected].
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Abstract

Background

Stroke remains a leading cause of death and disability worldwide. Platelet abnormalities are common in critically ill patients, but dynamic trajectory patterns and their prognostic value in intensive care unit (ICU) stroke patients remain unclear.Methods

This retrospective cohort study included 1,562 ICU stroke patients from the Medical Information Mart for Intensive Care (MIMIC-IV) database (version 3.1). Latent class trajectory models (LCTM) were used to identify platelet trajectory patterns during the first 5 days of ICU admission. Cox proportional hazards regression was performed to assess the association between trajectory groups and 28-day mortality. Exploratory effect decomposition analysis was conducted to explore the relative contribution of baseline platelet levels and subsequent platelet decline to prognosis.Results

Four distinct platelet trajectory groups were identified: High-Declining (14.7%), Moderate-Low Stable (52.4%), Low-Rising (4.5%), and Moderate-High Stable (28.4%). The High-Declining group had the highest 28-day mortality (34.1% vs. 20.4% in the Moderate-Low Stable group, P < 0.001). After multivariable adjustment, the High-Declining group was associated with a 56% increase in mortality risk compared with the Moderate-Low Stable group (hazard ratio [HR] = 1.56, 95% confidence interval [CI]: 1.17-2.07, P = 0.002). Exploratory effect decomposition analysis revealed a suppression pattern: the direct protective effect of higher Day 2 platelet was offset by an indirect harmful effect mediated through greater subsequent platelet decline (Average Component Mediation Effect [ACME] = 0.017 on the probability-difference scale, 95% CI: 0.010-0.026, P < 0.001), suggesting that rapid platelet decline may reflect a high-risk phenotypic pattern associated with this trajectory group.Conclusions

Platelet trajectory patterns are associated with 28-day mortality and may serve as prognostic indicators in ICU stroke patients. A high baseline platelet level with rapid decline represents the highest-risk phenotype and, if confirmed in future prospective studies, may help identify patients requiring closer clinical evaluation to screen for underlying deteriorating conditions.

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Cite

BibTeXRIS
BibTeX
@article{chen2026platelet,
  title = {{Platelet trajectory patterns and 28-day mortality in ICU stroke patients: a retrospective cohort study based on the MIMIC-IV database.}},
  author = {Tao Chen and Rui Liang and Riping Xu and Can Chen},
  journal = {BMC neurology},
  year = {2026},
  month = aug,
  doi = {10.1186/s12883-026-05222-8},
  url = {https://europepmc.org/article/MED/42972291},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Platelet trajectory patterns and 28-day mortality in ICU stroke patients: a retrospective cohort study based on the MIMIC-IV database.
AU  - Tao Chen
AU  - Rui Liang
AU  - Riping Xu
AU  - Can Chen
PY  - 2026
DA  - 2026/08/06
JO  - BMC neurology
DO  - 10.1186/s12883-026-05222-8
UR  - https://europepmc.org/article/MED/42972291
AB  - Background  Stroke remains a leading cause of death and disability worldwide. Platelet abnormalities are common in critically ill patients, but dynamic trajectory patterns and their prognostic value in intensive care unit (ICU) stroke patients remain unclear.Methods  This retrospective cohort study included 1,562 ICU stroke patients from the Medical Information Mart for Intensive Care (MIMIC-IV) database (version 3.1). Latent class trajectory models (LCTM) were used to identify platelet trajectory patterns during the first 5 days of ICU admission. Cox proportional hazards regression was performed to assess the association between trajectory groups and 28-day mortality. Exploratory effect decomposition analysis was conducted to explore the relative contribution of baseline platelet levels and subsequent platelet decline to prognosis.Results  Four distinct platelet trajectory groups were identified: High-Declining (14.7%), Moderate-Low Stable (52.4%), Low-Rising (4.5%), and Moderate-High Stable (28.4%). The High-Declining group had the highest 28-day mortality (34.1% vs. 20.4% in the Moderate-Low Stable group, P < 0.001). After multivariable adjustment, the High-Declining group was associated with a 56% increase in mortality risk compared with the Moderate-Low Stable group (hazard ratio [HR] = 1.56, 95% confidence interval [CI]: 1.17-2.07, P = 0.002). Exploratory effect decomposition analysis revealed a suppression pattern: the direct protective effect of higher Day 2 platelet was offset by an indirect harmful effect mediated through greater subsequent platelet decline (Average Component Mediation Effect [ACME] = 0.017 on the probability-difference scale, 95% CI: 0.010-0.026, P < 0.001), suggesting that rapid platelet decline may reflect a high-risk phenotypic pattern associated with this trajectory group.Conclusions  Platelet trajectory patterns are associated with 28-day mortality and may serve as prognostic indicators in ICU stroke patients. A high baseline platelet level with rapid decline represents the highest-risk phenotype and, if confirmed in future prospective studies, may help identify patients requiring closer clinical evaluation to screen for underlying deteriorating conditions.
SN  - 1471-2377
ER  -