Mean Platelet Volume (MPV) as an Early Predictor of Mortality in Intensive Care Patients With Cancer
Mean Platelet Volume (MPV) as an Early Predictor of Mortality in Intensive Care Patients With Cancer
This study aims to investigate whether Mean Platelet Volume (MPV) and other blood count parameters measured at admission can predict mortality in cancer patients admitted to the intensive care unit (ICU). Patients with cancer are highly vulnerable to complications and organ failure, making early risk assessment vital for improving treatment strategies. Researchers will retrospectively review the medical charts and electronic health records of adult patients who stayed in the anesthesia ICU for longer than 24 hours between 2020 and 2025. No new laboratory tests, interventions, or patient contact will occur. The collected data will be analyzed to determine the relationship between initial MPV levels and patient survival outcomes.
This retrospective, observational, single-center study will evaluate the predictive value of initial Mean Platelet Volume (MPV) and other hemogram parameters (such as Red Cell Distribution Width [RDW] and platelet count) on intensive care and hospital mortality. The primary objective is to investigate the correlation between these routinely measured, cost-effective biomarkers and survival outcomes in oncological critical care patients. The study hypotheses are structured as follows:
Note on Study Design: This study is designed as a retrospective cohort study. Due to system registry constraints in the protocol module, the time perspective has been specified as 'Other' (Retrospective Cohort).
Inclusion Criteria:
Exclusion Criteria: