Batoul Khoundabi
Anoshirvan Kazemnejad
Marjan Mansourian
Seyed Mohammadreza Hashemian
Mehdi Kazempoor Dizaji

Background: Admission to the ICU (intensive care unit) is frequently complicated by early AKI (acute kidney injury). The development of AKI following cardiac surgery is particularly associated with increased mortality and morbidity. According to AKIN (acute kidney injury network) criteria, UO (urinary output) is a predictor for AKI. Objectives: The goal of this study was to determine the effects of some AKI risk factors on AKI and also to investigate changes in UO as a predictor of AKI using joint modeling. Patients and Methods: In a retrospective study, ۳۰۰ cardiac-operated patients, who had been admitted over a period of three years, were selected according to the consecutive sample selection method, using the ICU at Masih Daneshvari Hospital in Iran as a referral center. The random mixed effect model and the survival model were used to investigate UO changes and estimate the effect of UO and other risk factors on the hazard rate of AKI in a joint analysis. Results: AKI occurred in ۳۸.۰% of patients. A significant decrease of UO occurred more often in female and infected patients, as well as those with a low DBP (diastolic blood pressure). The survival model showed that the risk of AKI in females, older patients and patients with low DBP, lower UO and with infection was higher (P = ۰.۰۰۱). Using joint modeling, the association parameter between the risk of AKI and UO was estimated (-۰.۳, P = ۰.۰۰۲). Conclusions: Where there is a relationship between two longitudinal and survival responses, joint modeling can estimate it

Acute kidney injury, Joint Models, risk factor, Urinary Output, Cardiac Surgery