Risk factors of acute kidney injury in hospitalized patients with infective endocarditis and their predictive values / 中华危重病急救医学

ABSTRACT

Objective:To analyze the risk factors of acute kidney injury (AKI) in hospitalized patients with infective endocarditis (IE), construct prediction model, and discuss its predictive value.Methods:The clinical data of 402 adult inpatients diagnosed with IE admitted to the Affiliated Hospital of Qingdao University from January 2010 to January 2020 were retrospectively analyzed. The patients were divided into the AKI group and the non-AKI group. The clinical data, such as gender, age, presence of diabetes, basic estimated glomerular filtration rate (eGFR), laboratory indexes at admission, involvement of valves, presence of sepsis, medication during hospitalization, surgery and outcome of the two groups were compared. Multivariate Logistic regression analysis was used to screen the risk factors of AKI in IE inpatients. A predictive model was constructed, and receiver operating characteristic (ROC) curve was used to analyze the predictive value of the model.Results:A total of 290 patients with IE were enrolled, including 198 non-AKI patients and 92 AKI patients. The incidence of AKI was 31.7%. Among the 92 AKI patients, 46 patients were at AKI stage 1 (50.0%), while 46 patients were at AKI stage 2 and stage 3 (50.0%). Compared with the non-AKI group, patients in the AKI group were older [years old 64 (55, 71) vs. 55 (46, 63)], and had lower basic eGFR (mL·min -1·1.73 m -2 64.6±13.6 vs. 82.9±19.5), higher proportion of diabetic and incidence of sepsis (16.3% vs. 8.6%, 38.0% vs. 13.1%), more frequent use of angiotensin converting enzyme inhibitors/angiotensin Ⅱ receptor antagonists (ACEI/ARB), diuretics and non-steroidal anti-inflammatory drugs (NSAIDs; 25.0% vs. 15.2%, 82.6% vs. 63.1%, 58.7% vs. 24.2%), more abnormal urine test results (hematuria or proteinuria, 35.9% vs. 22.7%), higher pathogen culture negative rate (73.9% vs. 51.5%), lower Gram positive (G +) cocci infection rate and surgery rate (22.8% vs. 40.4%, 60.9% vs. 81.8 %), with significant differences (all P < 0.05). There were no significant differences in the gender, number and location of involved valves, and laboratory indexes at admission between the two groups. Compared with the non-AKI group, the inpatient mortality rate of the AKI group was higher (30.4% vs. 8.6%, P < 0.01), and the inpatient mortality rate of patients with AKI stage 2 and stage 3 was significantly higher than that of patients with AKI stage 1 (43.5% vs. 17.4%, P < 0.01). In multivariate Logistic regression analysis, the lower basic eGFR [hazard ratio ( HR) = 0.136, 95% confidence interval (95% CI) was 0.066-0.280], sepsis ( HR = 6.100, 95% CI was 2.394-15.543), demand for NSAIDs ( HR = 2.990, 95% CI was 1.184-7.546) and radiocontrast agent ( HR = 3.153, 95% CI was 1.207-8.238) were independent risk factors for AKI in hospitalized patients with IE (all P < 0.05). A prediction model was constructed based on the above risk factors, and ROC curve analysis showed that the area under the ROC curve (AUC) of prediction model for AKI was 0.888 (95% CI was 0.833-0.943, P < 0.01) with sensitivity of 86.4% and specificity of 80.9%. Conclusions:In the IE-susceptible population, low basic eGFR, sepsis, the need for NSAIDs and contrast agent are independent risk factors to AKI. The predictive model constructed by the above risk factors has certain predictive value for the occurrence of AKI in the IE inpatients.