The predictive value of platelet parameters and hemorheological indicators for elderly sepsis patients
Abstract Sepsis is a life-threatening organ dysfunction. To explore the predictive value of platelet parameters and hemorheological indicators for mortality risk in elderly sepsis patients. The clinical data of 86 elderly patients with sepsis admitted to the intensive care unit of our hospital from...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-08-01
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| Series: | BMC Anesthesiology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12871-025-03222-8 |
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| Summary: | Abstract Sepsis is a life-threatening organ dysfunction. To explore the predictive value of platelet parameters and hemorheological indicators for mortality risk in elderly sepsis patients. The clinical data of 86 elderly patients with sepsis admitted to the intensive care unit of our hospital from June 2020 to June 2023 were retrospectively analyzed. According to the survival outcome, the patients were divided into the death group (28 cases) and the survival group (58 cases). The platelet parameters and hemorheological indicators of the two groups were compared. Pearson correlation analysis was used to analyze platelet parameters, hemorheology and Sequential Organ Failure Assessment (SOFA). Patients in the death group had higher APACHE II score, SOFA score, MPV, plasma viscosity, Equation K Value of ESR, and RDW than those in the survival group (P < 0.05). SOFA score was positively correlated with MPV, plasma viscosity, Equation K Value of ESR and RDW (P < 0.05), but not correlated with PLT and PDW (P < 0.05). APACHE II score, SOFA score, MPV, plasma viscosity, Equation K Value of ESR, and RDW were risk factors for mortality in elderly sepsis patients (P < 0.05). The joint prediction had higher performance than individual indicator (all P < 0.05). MPV, plasma viscosity, equation K value of ESR, and RDW were related to multiple organ failure in elderly sepsis patients, and could be used to predict the risk of death in patients, with good predictive performance. |
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| ISSN: | 1471-2253 |