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Serial Platelet Count and Indices for Predicting In-Hospital Mortality in Sepsis
Sponsor: Assiut University
Summary
This observational study aims to determine if tracking changes in blood platelets over time can help predict the clinical outcomes of adult patients hospitalized with sepsis. While current medical scoring systems (like SOFA and APACHE) help doctors evaluate a patient's risk when they are first admitted, they are often static and may not capture how the body's response changes during the infection. Platelet count and the size of the platelets (mean platelet volume) change dynamically during sepsis. Researchers will observe the routine daily blood test results of adult sepsis patients during their first 7 to 14 days in the hospital to track these changes. By calculating specific platelet ratios and analyzing their trajectories, the study hopes to find out if these simple, cost-effective markers can accurately predict a patient's risk of in-hospital mortality, and if they can improve the accuracy of current standard severity scores.
Official title: Predictive Value of Serial Platelet Count, and Platelet Indices for In-Hospital Mortality in Patients With Sepsis: A Cohort Study
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
120
Start Date
2026-11
Completion Date
2026-12
Last Updated
2026-09-22
Healthy Volunteers
No
Conditions
Interventions
Serial Complete Blood Counts (CBC)
Routine automated complete blood counts, including platelet count (PC) and mean platelet volume (MPV), collected serially during the first 7-14 days of admission. These are used to evaluate biological trajectories and calculate derived indices (MPV/PC, PLR, CRP/PLT, and PLT/Cr)