Clinical significance of coagulation function status and platelet detection in patients with acute cerebral infarction

Objective: To measure and analyze platelet and coagulation function-related indicators in patients with acute cerebral infarction (ACI) and explore their clinical significance. Methods: The multivariate analysis of age, smoking, gender and drinking was carried out in the study, and KMO: 0.651(p=0.000, indicating that the analysis could be carried out. A total of 80 cerebral infarction patients admitted to Chongzhou People’s Hospital from January 2023 to May 2025 were enrolled and divided into an ACI group (40 cases) and a non-ACI group (40 cases) based on disease severity. Prothrombin time (PT), activated partial thromboplastin time (APTT), fibrinogen (FIB), thrombin time (TT), D-dimer (D-D), and platelet count (PLT) were measured and compared between the two groups. Logistic Regression analysis was used to assess the relationships among PLT, PT, APTT, FIB, TT, and D-D in the ACI group. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic efficacy of FIB, D-D, and PLT in ACI. Results: Compared with the non-ACI group, the ACI group showed significantly higher levels of D-D and PLT, but the differences were not statistically significant (P > 0.05). Spearman correlation analysis revealed a negative correlation between D-D and other parameters in ACI patients (P < 0.05). ROC curve analysis indicated that the area under the curve (AUC) for D-D was 0.971, demonstrating statistical significance (P < 0.05). Conclusion: The detection of platelet and coagulation function-related indicators in ACI patients holds significant clinical value for diagnosis, early prediction of thrombosis, and assessment of disease severity.

Publication Details

Journal
Bali Medical Journal
Published
2025-08-29
DOI
https://doi.org/10.15562/bmj.v14i2.5706
Primary Topic
Agriculture Sustainability and Environmental Impact
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article
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Clinical significance of coagulation function status and platelet detection in patients with acute cerebral infarction

Bali Medical Journal
Agriculture Sustainability and Environmental Impact
article

Clinical significance of coagulation function status and platelet detection in patients with acute cerebral infarction

article en

Abstract

Objective: To measure and analyze platelet and coagulation function-related indicators in patients with acute cerebral infarction (ACI) and explore their clinical significance. Methods: The multivariate analysis of age, smoking, gender and drinking was carried out in the study, and KMO: 0.651(p=0.000, indicating that the analysis could be carried out. A total of 80 cerebral infarction patients admitted to Chongzhou People’s Hospital from January 2023 to May 2025 were enrolled and divided into an ACI group (40 cases) and a non-ACI group (40 cases) based on disease severity. Prothrombin time (PT), activated partial thromboplastin time (APTT), fibrinogen (FIB), thrombin time (TT), D-dimer (D-D), and platelet count (PLT) were measured and compared between the two groups. Logistic Regression analysis was used to assess the relationships among PLT, PT, APTT, FIB, TT, and D-D in the ACI group. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic efficacy of FIB, D-D, and PLT in ACI. Results: Compared with the non-ACI group, the ACI group showed significantly higher levels of D-D and PLT, but the differences were not statistically significant (P > 0.05). Spearman correlation analysis revealed a negative correlation between D-D and other parameters in ACI patients (P < 0.05). ROC curve analysis indicated that the area under the curve (AUC) for D-D was 0.971, demonstrating statistical significance (P < 0.05). Conclusion: The detection of platelet and coagulation function-related indicators in ACI patients holds significant clinical value for diagnosis, early prediction of thrombosis, and assessment of disease severity.

Bali Medical JournalVol. 14(2)
Good health and well-being
Openalex Percentile: Top 40%
Agriculture Sustainability and Environmental Impact
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