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摘要
BACKGROUND: Our aim was to investigate the prognostic factors of pregnancy related acute kidney injury (PR-AKI), establish the prognosis prediction model and evaluate predictability with the model. METHODS: Serum creatinine (SCr), placental growth factor (PLGF), endothelia-1 (ET-1), urinary kidney injury molecule-1 (KIM-1), and beta(2)-microglobulin (beta(2)-MG) levels in 122 patients with PR-AKI were measured at 1 month, 3 months, 6 months, and 1 year after delivery and the logistic backward stepwise regression method was used to screen the factors associated with the prognosis, establish the model to predict the prognosis of patients 1 year after delivery, and evaluate predictability with the model. RESULTS: 1) At 1 month, 3 months, 6 months, and 1 year after delivery, SCr was not significantly different in the poor prognosis group (P>0.05); ET-1, KIM-1 and beta(2)-MG were decreased significantly, and PLGF was significantly increased (P<0.05); all testing indicators in the good prognosis group were significantly different and returned to normal within I year (P<0.05). By comparing the two groups, there were no significant differences in SCr, PLGF and beta(2)-MG levels at 1 month after delivery (P>0.05), while there were significant differences in the remaining testing indicators at each time point (P<0.05). 2) Logistic backward stepwise regression analysis showed that SCr, KIM-1, ET-1, and time were related to the prognosis of patients with PR-AKI, and the above screening indicators were used to fit the model Logit. CONCLUSIONS: The logistic regression model fitting-effect was good, its accuracy of predicting renal injury prognosis was high. SCr, KIM-1, and ET-1 can be used for PR-AKI screening and are important for monitoring the disease condition of patients, intervention, and evaluation of prognosis.
- 出版日期2018-8
- 单位湖北医药学院
