Serum Procalcitonin Level Predicts Acute Kidney Injury After Traumatic Brain Injury
| Autor: | Min He, Yan Kang, Xiao Feng Ou, Xiao Qi Xie, Ruoran Wang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Adult
Calcitonin Male medicine.medical_specialty Traumatic brain injury urologic and male genital diseases Logistic regression Procalcitonin 03 medical and health sciences 0302 clinical medicine Risk Factors Brain Injuries Traumatic medicine Humans Hospital Mortality Risk factor urogenital system business.industry Incidence (epidemiology) Glasgow Coma Scale Acute kidney injury Acute Kidney Injury Middle Aged Prognosis medicine.disease female genital diseases and pregnancy complications ROC Curve Creatinine 030220 oncology & carcinogenesis Emergency medicine Female Surgery Neurology (clinical) Complication business hormones hormone substitutes and hormone antagonists 030217 neurology & neurosurgery |
| Zdroj: | World Neurosurgery. 141:e112-e117 |
| ISSN: | 1878-8750 |
| Popis: | A common non-neurologic complication after traumatic brain injury (TBI), acute kidney injury (AKI) is a risk factor of mortality. Some studies confirmed the predictive value of procalcitonin (PCT) on AKI in several clinical settings. We designed this study to explore the predictive value of PCT on AKI after TBI.We retrospectively enrolled patients with TBI admitted to our hospital from February 2015 to June 2019. Multivariate logistic regression analysis was performed to find the risk factors of AKI and construct a predictive model for AKI. Receiver operating characteristics curves were drawn to compare the predictive value of PCT and the constructed model.A total of 214 patients were included in this study. The incidence of AKI after TBI was 25.70% in this study. Compared with the non-AKI group, the AKI group had higher age (P = 0.031), lower Glasgow Coma Scale (P0.001), and higher incidence of coagulopathy (P 0.001) and shock (P0.001). Moreover, patients complicated with AKI had higher in-hospital mortality (P 0.001) and worse 90-day outcome (P0.001). Multivariate logistic regression analysis indicated that age (P = 0.033), PCT (P = 0.002), serum chlorine (P = 0.011), and creatinine (P0.001) were independent risk factors of AKI. We constructed a predictive model using these 4 risk factors. The area under receiver operating characteristics curves of the predictive model was 0.928, which was significantly higher than that of a single PCT value (area under receiver operating characteristics curves = 0.833) (Z = 2.395, P0.05).PCT is valuable in predicting AKI after TBI. To avoid AKI after TBI, physicians can adjust treatment strategies according to the level of PCT. |
| Databáze: | OpenAIRE |
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