ArticleInternational journal of clinical and experimental pathology2025
The diagnostic utility of mean platelet volume in acute pancreatitis: insights and inconsistencies.
Article in International journal of clinical and experimental pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundAcute pancreatitis (AP) is a rapid inflammatory disorder of the pancreas that can range from moderate to severe, frequently linked to considerable morbidity and death. The prompt recognition of severe acute pancreatitis (SAP) is essential for appropriate care; yet, forecasting the severity of AP continues to be difficult. Mean Platelet Volume (MPV), a metric of platelet activity, has surfaced as a prospective biomarker for the severity of AP. This study sought to evaluate the effectiveness of MPV in forecasting illness severity in AP. METHODOLOGY: A randomized controlled trial was conducted at Yenepoya Medical College Hospital, involving 279 participants, including both healthy volunteers and AP patients. MPV levels were measured and analyzed in relation to disease severity, specifically focusing on the presence of pancreatic necrosis.
resultsIn comparison to healthy controls (8.88 ± 0.97 fL), the study's result showed that MPV levels were somewhat higher in AP patients (9.43 ± 6.78 fL), although there was not a significant statistical difference between the two groups (P > 0.05). Nevertheless, it was revealed that individuals who had pancreatic necrosis had a significantly higher level of MPV (13.17 ± 1.7 fL) in comparison to those who did not have pancreatic necrosis (9.19 ± 0.86 fL), with a
conclusionThis study concluded that, although MPV levels were higher in AP patients, particularly those with pancreatic necrosis, the overall diagnostic performance of MPV was sub-optimal. The study highlights the need for additional research to better understand the role of MPV in assessing AP severity and to explore other potential biomarkers that could improve early risk stratification in clinical practice.
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