Clinical laboratory · 2025
Mean Platelet Volume/Platelet Count Ratio is Markedly Increased in Liver Cirrhosis Compared to Hepatitis.
СтатьяСравнительное исследованиеНазвание и аннотация: Перевод пока не подготовлен
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Cho Ha-Eun, Lee Jae Joon, Cho Sun Young, Lee Woo-In
Аннотация
BACKGROUND: The mean platelet volume to platelet count ratio (MPV/PC) is a potential non-invasive marker of liver fibrosis in chronic liver diseases.
METHODS: A total of 232 patients with chronic hepatitis B (CHB), chronic hepatitis C (CHC), non-alcoholic liver cirrhosis (NALC), and alcoholic liver cirrhosis (ALC), along with 143 healthy controls, were analyzed. MPV and PC were measured within 2 hours using an ADVIA 2120 analyzer. ANOVA and ROC analyses evaluated group differences and diagnostic performance.
RESULTS: MPV/PC was significantly elevated in NALC and ALC compared to CHB, CHC, and controls (p < 0.001). ROC analysis for cirrhosis showed 88.3% sensitivity and 94.4% specificity (AUC = 0.946).
CONCLUSIONS: MPV/PC is significantly increased in liver cirrhosis regardless of etiology, suggesting disrupted platelet homeostasis. It may serve as a sensitive, non-invasive marker for fibrosis. Further validation incorporating fibrosis biomarkers is recommended.
METHODS: A total of 232 patients with chronic hepatitis B (CHB), chronic hepatitis C (CHC), non-alcoholic liver cirrhosis (NALC), and alcoholic liver cirrhosis (ALC), along with 143 healthy controls, were analyzed. MPV and PC were measured within 2 hours using an ADVIA 2120 analyzer. ANOVA and ROC analyses evaluated group differences and diagnostic performance.
RESULTS: MPV/PC was significantly elevated in NALC and ALC compared to CHB, CHC, and controls (p < 0.001). ROC analysis for cirrhosis showed 88.3% sensitivity and 94.4% specificity (AUC = 0.946).
CONCLUSIONS: MPV/PC is significantly increased in liver cirrhosis regardless of etiology, suggesting disrupted platelet homeostasis. It may serve as a sensitive, non-invasive marker for fibrosis. Further validation incorporating fibrosis biomarkers is recommended.