Literature DB >> 27504801

Mean Platelet Volume to Platelet Count Ratio as a Promising Predictor of Early Mortality in Severe Sepsis.

Geun Ho Oh1, Sung Phil Chung, Yoo Seok Park, Jung Hwa Hong, Hye Sun Lee, Hyun Soo Chung, Je Sung You, Jong Woo Park, Incheol Park.   

Abstract

PURPOSE: We evaluated the mean platelet volume (MPV) to platelet ratio to determine its significance as a prognostic marker for early mortality in critically ill patients with suspected sepsis receiving early goal-directed therapy (EGDT).
METHODS: We retrospectively reviewed the records from a prospective EGDT registry and screened eligible adult patients who were admitted to the emergency department (ED) with severe sepsis and/or septic shock. The MPV/platelet ratio was estimated as the MPV value divided by the platelet count on each day of hospitalization. The clinical outcome was 28-day mortality.
RESULTS: We included 120 patients receiving EGDT. In the multivariate Cox proportional hazard models, higher MPV/platelet ratios on admission (HR: 1.04; 95% CI: 1.015-1.066; P = 0.002) and at 24 h (HR: 1.032; 95% CI: 1.012-1.054; P = 0.002) were significant risk factors for mortality at 28 days. An increased trend for 28-day mortality was associated with a MPV/platelet ratio >3.71 on admission (HR: 4.274; 95% CI: 1.228-14.874; P = 0.023) and a higher MPV/platelet ratio (>6.49) at 24 h (HR: 2.719; 95% CI: 1.048-7.051; P = 0.04) in patients with severe sepsis receiving EGDT.
CONCLUSION: In our study, MPV or platelet count alone did not predict shock and 28-day mortality in patients with severe sepsis receiving EGDT. However, the MPV/platelet ratio at ED admission and on day 1 is a promising prognostic marker for 28-day mortality in patients with severe sepsis.

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Year:  2017        PMID: 27504801     DOI: 10.1097/SHK.0000000000000718

Source DB:  PubMed          Journal:  Shock        ISSN: 1073-2322            Impact factor:   3.454


  20 in total

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9.  AST-to-Platelet Ratio Index as Potential Early-Warning Biomarker for Sepsis-Associated Liver Injury in Children: A Database Study.

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