#927 Assessment of kidney function recovery post discharge in patients with acute kidney injury requiring dialysis during hospitalization

Abstract

Abstract Background and Aims Acute kidney injury requiring dialysis (AKI-D) is a serious medical condition that becomes increasingly common and associated with high rate of mortality. Identifying modifiable predictors of AKI-D patients’ outcomes will lead to better care and improve kidney and patient survival. This study aimed to assess long-term outcomes (ESRD, HD-independence, or death) of AKI-D patients after hospital discharge as well as to identify the clinical predictors of their outcomes. Method We followed 64 AKI-D patients who survived till hospital discharge and continued receiving dialysis treatment in outpatient dialysis center. Follow up continued for 6 months between January 2016 and December 2022 for patients discharged from Hamad General Hospital to receive dialysis in Fahd Ben Jassim Kidney center. All demographic data, patients’ comorbidities, hospital course, laboratory values and outpatient dialysis details were collected and analysed. Follow up of recovered patient was continued for 2 years either in nephrology or low clearance clinic. Results During follow up, 20 patients (31.3%) recovered enough kidney function to stop dialysis while 44 patients (68.7%) were declared as ESRD. The average time to recovery was 106 ± 81 days. No significant difference was noticed between both groups regard to patients’ age, gender or comorbidities. Recovered patients had more ICU admission rate compared to non-recovered patients (60% and 29.5% of patients respectively, p 0.028) and more use of vasopressors (p 0.002). Moreover, the recovered patients received significantly more dialysis sessions during hospital stay than non-recovered patients (p 0.009). Conclusion Close monitoring of AKI-D patients during ICU admission, use of vasopressors, and frequent dialysis sessions may facilitate recovery of kidney function. More research is needed to identify the modifiable predictors of AKI-D patients’ outcomes.