Acute kidney injury (AKI) is a major global public health problem. It is expensive to manage and associated with a high rate of prolonged hospitalization and in-hospital mortality. Little is known about the burden of acute kidney injury in moderate to low-income countries. We aim to assess predictors of in-hospital mortality among AKI patients admitted to the medical ward. We prospectively identified patients meeting kidney disease improving global outcomes (KIDGO) AKI definitions from April to August 2019. Patients with underlying CKD and patients hospitalized for less than 48 h were excluded. The Cox regression model was fitted to identify predictors of mortality and statistical significance was considered at the p-value of less than 0.05. A total of 203 patients were enrolled over 5 months. Out of this, 121(59.6%) were males, 58(28.6%) were aged greater than 60 years, and 141(69.5%) had community-acquired acute kidney injury. The most common causes of AKI were Hypovolemia 99(48.77%), Glomerulonephritis 51(25.11%), and sepsis 32(15.79%). The overall in-hospital mortality rate was 12.8%. Stage 3 AKI (AHR = 9.61, 95% CI 1.17–28.52, p = 0.035), duration of AKI (AHR = 7.04, 95% CI 1.37–36.08, p = 0.019), length of hospital stay (AHR = 0.19, 95% CI 0.05–0.73, p = 0.012), and hyperkalemia (AHR = 3.61, 95% CI 1.12–11.71, p = 0.032) were significantly associated with in-hospital mortality. There is a high rate of acute kidney injury-related in-hospital mortality in adult patients admitted to the medical ward. The severity of AKI, hyperkalemia duration of AKI, and a short length of hospital stay were predictors of 30-days in-hospital mortality. Most of the causes of AKI are preventable and patients may benefit from early identification and treatment of these reversible causes.

Background: Acute kidney injury (AKI) is a major global public health problem. It is expensive to manage and associated with a high rate of prolonged hospitalization and in-hospital mortality. Little is known about the burden of acute kidney injury in moderate to low-income countries. We aim to assess predictors of in-hospital mortality among AKI patients admitted to the medical ward.Methods: We prospectively identified patients meeting kidney disease improving global outcomes (KIDGO) AKI definitions from April to August 2019. Patients with underlying CKD and patients hospitalized for less than 48 hours were excluded. The Cox regression model was fitted to identify predictors of mortality and statistical significance was considered at the p-value of less than 0.05.Result: A total of 203 patients were enrolled over five months. Out of this, 121(59.6%) were males, 58(28.6%) were aged greater than 60 years, and 141(69.5%) had community-acquired acute kidney injury. The most common causes of AKI were Hypovolemia 99(48.77%), Glomerulonephritis 51(25.11%), and sepsis 32(15.79%). The overall in-hospital mortality rate was 12.8%. Stage3 AKI (AHR=9.61, 95% CI: 1.17-28.52, p=0.035), duration of AKI (AHR =7.04, 95% CI: 1.37-36.08, p=0.019), length of hospital stay (AHR= 0.19, 95% CI: 0.05-0.73 p=0.012), and hyperkalemia (AHR =3.61, 95% CI: 1.12-11.71, p=0.032) were significantly associated with in-hospital mortality.Conclusion: There is a high rate of acute kidney injury-related in-hospital mortality in adult patients admitted to the medical ward. The severity of AKI, hyperkalemia duration of AKI, and a short length of hospital stay were predictors of 30-day in-hospital mortality. Most of the causes of AKI are preventable and patients may benefit from early identification and treatment of these reversible causes.

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Acute kidney injury (AKI) is the sudden loss of organ function and the third leading cause of mortality after bleeding and brain trauma among admitted patients. There is a paucity of epidemiological data concerning AKI in Sub-Saharan African countries including Ethiopia with predominant admission of chronic cases. Methods: An institution-based crosssectional study was conducted from 15 August-14 October 2020. Epi-Data version 3.2 was used for data entry. In addition, STATA/14 was used for analysis. A Logistic regression model was used to determine the association of independent variables with the outcome variable and adjusted odds ratios (AOR) with 95% confidence interval was used to estimate the strength of the association at P<0.05. Result: Two hundred eighty-eight (288) card of inpatient were selected for analysis making the overall response rate 97.8%. The mean (±SD) age of the respondents was 44.16 (±18.29) years. The overall magnitude of AKI was 23.32% (95%CI: 18.91--29.36). Cases at baseline having hemoglobin level≤10.9mg/dl (AOR=11.4: 95%CI: 4.2, 31.2), bing cancer cases 6.87 (AOR=6.87; 95%CI: 1.76--26.73, P<0.005), and having creatinin levels > 1.36 mg/dl (>121 Micromole/L) was 5.78 (AOR=5.77; 95%CI: 1.93--17.27), were significantly associated with AKI. Conclusions: According to KDIGO-definitions of AKI, the high magnitude was reported among hospitalized patients and predicted by being cases of cancer, anemic and creatinine levels were significantly associated with AKI.

Background: This study aimed to assess the clinical features, renal recovery, and predictors of AKI among hospitalized patients in Ethiopia.Methods: A prospective observational study was conducted involving all adult patients with age >18 years, and met the kidney disease: improving global outcomes criteria for AKI from April to July 2019. The main outcome variable was renal recovery at discharge. The logistic regression model was used to determine predictors of non-recovery from AKI. Statistical significance was considered at a p-value of less than 0.05 on multivariate analysis. Results: Of the 169 patients included in the study over four months, 121 (71.6%) had kidney disease on admission, one-third (33.1%) had stage 3 AKI, nearly half (50.29%) had prerenal AKI, and 32(19%) had exposure to nephrotoxins. Vomiting 31(18.34%), oliguria 42(24%), hematuria 15(25.4%), and proteinuria 26(40.6%) were common presenting features. Of the total study participants, most of them (68%) had complete renal recovery and fifty-four (32%) patients had non-recovery AKI. On multivariable analysis, proteinuria (AOR 6.2, CI 1.25-31.4, p=0.002), AKI stage III (AOR 4.7, CI 1.37-28.6, p=0.019), and nephrotoxin exposure (AOR 5.2, CI 2.1-14.89, p=0.007) were factors significantly associated with non-renal recovery. Conclusions: A higher proportion of patients were found to have non-recovery AKI at hospital discharge. Renal non-recovery was significantly associated with the severity of AKI, nephrotoxic drug use, and proteinuria. Follow-up of serum creatinine and proteinuria, and careful drug use monitoring may help to identify patients with poor prognosis, initiate specific interventions, and improve renal recovery.