Relationship Between Platelet Indices with Severity of Hemorrhage, Prognosis and Scoring Systems for Nonvariceal Upper GIS Bleeding

Objective:We aimed to determine the place of platelet indices [platelet (PLT), platelet crit (PCT), mean platelet volume (MPV) and platelet distribution width (PDW)] in predicting the severity of hemorrhage and prognosis in non-variceal upper gastrointestinal system (GIS) bleeding. Methods:The study included 210 patients hospitalized due to non-variceal upper GIS bleeding.Full blood count values were recorded when the patients were admitted to hospital, on the 5th day and at discharge.The Rockall and Blatchford scores were calculated according to the clinical and endoscopic findings of patients and Forrest classification was made.Results: Blatchford and Rockall scores for patients whose hospitalization period is more than 5 days and who require transfusion was higher than the group without (p<0.001).When the groups with a hospital stay of more than 5 days and less than 5 days and the groups with and without transfusion were compared, no significant difference was found between PLT, PCT, MPV and PDW values (p>0.05).There was a very weak positive correlation between MPV at time of admission and MPV and PDW values at discharge with Blatchford score.There was a very weak positive correlation between MPV and PDW values at discharge with Rockall score.To predict the risk of admission of 5 days or more, forward selection logistic regression was performed and platelet indexes were not identified to be independent predictors. Conclusion:It was observed that platelet indices were not independent predictors in determining bleeding severity and prognosis in upper GIS hemorrhage, but MPV and PDW were very weakly related to scoring systems.

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Publication Details

Journal
Southern Clinics of Istanbul Eurasia
Published
2025-01-01
DOI
https://doi.org/10.14744/scie.2025.37973
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
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article
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article

Relationship Between Platelet Indices with Severity of Hemorrhage, Prognosis and Scoring Systems for Nonvariceal Upper GIS Bleeding

Osman Mavi̇ş
Southern Clinics of Istanbul Eurasia
Inflammatory Biomarkers in Disease Prognosis
article

Relationship Between Platelet Indices with Severity of Hemorrhage, Prognosis and Scoring Systems for Nonvariceal Upper GIS Bleeding

Osman Mavi̇ş
article en

Abstract

Objective:We aimed to determine the place of platelet indices [platelet (PLT), platelet crit (PCT), mean platelet volume (MPV) and platelet distribution width (PDW)] in predicting the severity of hemorrhage and prognosis in non-variceal upper gastrointestinal system (GIS) bleeding. Methods:The study included 210 patients hospitalized due to non-variceal upper GIS bleeding.Full blood count values were recorded when the patients were admitted to hospital, on the 5th day and at discharge.The Rockall and Blatchford scores were calculated according to the clinical and endoscopic findings of patients and Forrest classification was made.Results: Blatchford and Rockall scores for patients whose hospitalization period is more than 5 days and who require transfusion was higher than the group without (p<0.001).When the groups with a hospital stay of more than 5 days and less than 5 days and the groups with and without transfusion were compared, no significant difference was found between PLT, PCT, MPV and PDW values (p>0.05).There was a very weak positive correlation between MPV at time of admission and MPV and PDW values at discharge with Blatchford score.There was a very weak positive correlation between MPV and PDW values at discharge with Rockall score.To predict the risk of admission of 5 days or more, forward selection logistic regression was performed and platelet indexes were not identified to be independent predictors. Conclusion:It was observed that platelet indices were not independent predictors in determining bleeding severity and prognosis in upper GIS hemorrhage, but MPV and PDW were very weakly related to scoring systems.

Southern Clinics of Istanbul Eurasia
Openalex Percentile: Top 63%
Inflammatory Biomarkers in Disease Prognosis
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