Acute kidney injury in hospitalized patients frequency of various etiologies.

Objectives: To identify magnitude of various etiologies causing acute kidney injury (AKI) in hospital admitted patients at Nishtar hospital, Multan. Study Design: Cross sectional observational study. Setting: Medical Unit-IV, Nishtar Hospital and Medical University, Multan. Period: The study span was six month extending from February 2018 to July 2018. Material and Methods: In our setting, we took a sample of 383 patients admitted to medical unit- IV for variety of medical conditions using non-probability purposive sampling technique. Patients having an age range of 30-70 years and either gender were taken. Those patients who had previously deranged kidney functions, Reno grafting, snake envenomation and kalapathar (PPD) poisoning were not considered for study. Results: The age of patients ranged from 36 years to 62 years and had a mean of 47.94±8.14 years. There were54% male and 46% female patients in our setting. The most common presenting medical disorders requiring indoor admission were pulmonary diseases seen in 38.9% patients then hepatobiliary disorders 27.4%, infections 24% and diabetes 9.6%. Out of 383 patients, 107(27.9%) patients had AKI. It was more prevalent (p=0.000) diabetic patients 46%, hepatobiliary disorders 36.1%, infectious diseases 27.1% and then respiratory tract diseases 18.1%. While working on etiological causes of AKI, we found drugs were frequent inciting factor, present in 39.3% patients then was sepsis 19.6%, volume loss 17.7% and hypotension 8.5%. Combined fluid depletion plus sepsis was noted in 6.5% patients followed by sepsis plus drugs in 4.6% and sepsis plus drugs plus hypotension seen in 3.7% patients. However, drugs were major contributory factor of AKI in patients having hepatobiliary diseases 65.8% and diabetes 35.3%. In patients of respiratory tract diseases having AKI, fluid loss 36.0% and sepsis 28.6% were recurring findings. Among patients of infectious diseases, sepsis 40% and drugs 28% were more common. Conclusion: Occurrence of Acute kidney injury among hospitalized patients was statistically significant (p=0.000) in patients with diabetes mellitus and hepatobiliary disease at the time of admission. While noting etiological factors, it was seen that drugs were the most prevalent followed by septicemia, then hypovolemia among the factors responsible for AKI.

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543-P: A Clinical, Proteomics and Artificial Intelligence-Driven Model to Predict Acute Kidney Injury in Diabetic Patients Undergoing Coronary Angiography—Results from the Catheter Sampled Blood Archive in Cardiovascular Diseases Study

Diabetes ◽

10.2337/db19-543-p ◽

2019 ◽

Vol 68 (Supplement 1) ◽

pp. 543-P

Author(s):

NASRIEN E. IBRAHIM ◽

CIAN P. MCCARTHY ◽

SHREYA SHRESTHA ◽

HANNA GAGGIN ◽

RENATA MUKAI ◽

...

Keyword(s):

Artificial Intelligence ◽

Acute Kidney Injury ◽

Cardiovascular Diseases ◽

Coronary Angiography ◽

Kidney Injury ◽

Clinical Proteomics ◽

Diabetic Patients

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Faculty Opinions recommendation of Urine microscopy is associated with severity and worsening of acute kidney injury in hospitalized patients.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.2274966.1895067 ◽

2010 ◽

Author(s):

Richard Quigg ◽

Suneel Udani

Keyword(s):

Acute Kidney Injury ◽

Kidney Injury ◽

Hospitalized Patients ◽

Urine Microscopy

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POS-050 ACUTE KIDNEY INJURY AMONG HOSPITALIZED PATIENTS WITH COVID-19: A SINGLE CENTER STUDY FROM NEPAL

Kidney International Reports ◽

10.1016/j.ekir.2021.03.056 ◽

2021 ◽

Vol 6 (4) ◽

pp. S23

Author(s):

A. Sedhain MD

Keyword(s):

Acute Kidney Injury ◽

Kidney Injury ◽

Hospitalized Patients ◽

Single Center ◽

Single Center Study ◽

Center Study

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Predictive value of stress hyperglycemia ratio for the occurrence of acute kidney injury in acute myocardial infarction patients with diabetes

BMC Cardiovascular Disorders ◽

10.1186/s12872-021-01962-2 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Side Gao ◽

Qingbo Liu ◽

Hui Chen ◽

Mengyue Yu ◽

Hongwei Li

Keyword(s):

Myocardial Infarction ◽

Acute Myocardial Infarction ◽

Acute Kidney Injury ◽

Cardiogenic Shock ◽

Predictive Value ◽

Kidney Injury ◽

Left Ventricular Ejection ◽

Diabetic Patients ◽

Stress Hyperglycemia ◽

Patients With Diabetes

Abstract Background Acute hyperglycemia has been recognized as a robust predictor for occurrence of acute kidney injury (AKI) in nondiabetic patients with acute myocardial infarction (AMI), however, its discriminatory ability for AKI is unclear in diabetic patients after an AMI. Here, we investigated whether stress hyperglycemia ratio (SHR), a novel index with the combined evaluation of acute and chronic glycemic levels, may have a better predictive value of AKI as compared with admission glycemia alone in diabetic patients following AMI. Methods SHR was calculated with admission blood glucose (ABG) divided by the glycated hemoglobin-derived estimated average glucose. A total of 1215 diabetic patients with AMI were enrolled and divided according to SHR tertiles. Baseline characteristics and outcomes were compared. The primary endpoint was AKI and secondary endpoints included all-cause death and cardiogenic shock during hospitalization. The logistic regression analysis was performed to identify potential risk factors. Accuracy was defined with area under the curve (AUC) by a receiver-operating characteristic (ROC) curve analysis. Results In AMI patients with diabetes, the incidence of AKI (4.4%, 7.8%, 13.0%; p < 0.001), all-cause death (2.7%, 3.6%, 6.4%; p = 0.027) and cardiogenic shock (4.9%, 7.6%, 11.6%; p = 0.002) all increased with the rising tertile levels of SHR. After multivariate adjustment, elevated SHR was significantly associated with an increased risk of AKI (odds ratio 3.18, 95% confidence interval: 1.99–5.09, p < 0.001) while ABG was no longer a risk factor of AKI. The SHR was also strongly related to the AKI risk in subgroups of patients. At ROC analysis, SHR accurately predicted AKI in overall (AUC 0.64) and a risk model consisted of SHR, left ventricular ejection fraction, N-terminal B-type natriuretic peptide, and estimated glomerular filtration rate (eGFR) yielded a superior predictive value (AUC 0.83) for AKI. Conclusion The novel index SHR is a better predictor of AKI and in-hospital mortality and morbidity than admission glycemia in AMI patients with diabetes.

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