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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).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Oncological ICU Patients | Adult patients (aged 18 and older) with a confirmed cancer diagnosis who were admitted to the anesthesia intensive care unit for longer than 24 hours between the years 2020 and 2025 |
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| Measure | Description | Time Frame |
|---|---|---|
| Intensive Care Unit (ICU) Mortality | The percentage of oncological patients who died during their stay in the anesthesia intensive care unit. This will be calculated based on the electronic health records and patient files. | From the date of ICU admission up to ICU discharge, assessed up to 30 days. |
| Measure | Description | Time Frame |
|---|---|---|
| Hospital Mortality | The percentage of oncological patients who died during their overall hospital stay (including post-ICU ward follow-up). | From the date of hospital admission up to hospital discharge, assessed up to 60 days. |
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Inclusion Criteria:
Exclusion Criteria:
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The study population consists of adult oncological patients who required critical care and were admitted to the anesthesia intensive care unit of a tertiary oncology training and research hospital between 2020 and 2025.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Dr. Abdurrahman Yurtaslan Oncology Training and Research Hospital | Ankara | Turkey (Türkiye) |
Individual participant data will not be shared globally to maintain patient confidentiality and privacy in accordance with local data protection regulations and institutional review board restrictions. However, the coded datasets and statistical analyses used during the current study may be available from the corresponding author upon reasonable academic request.
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| ID | Term |
|---|---|
| D016638 | Critical Illness |
| D009369 | Neoplasms |
| ID | Term |
|---|---|
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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