Acute kidney injury related to pregnancy in developing countries: etiology and risk factors in an intensive care unit

Background. Acute kidney injury (AKI) is a common serious problem affecting critically ill patients in intensive care unit (ICU). It increases their morbidity, mortality, length of ICU stay, and long-term risk of chronic kidney disease (CKD). Methods. A retrospective study was carried out in a tertiary hospital in Jordan. Medical records of patients admitted to the medical ICU between 2013 and 2015 were reviewed. We aimed to identify the incidence, risk factors, and outcomes of AKI. Acute kidney injury network (AKIN) classification was used to define and stage AKI. Results. 2530 patients were admitted to medical ICU, and the incidence of AKI was 31.6%, mainly in stage 1 (59.4%). In multivariate analysis, increasing age (odds ratio (OR) = 1.2 (95% CI 1.1–1.3), P = 0.0001) and higher APACHE II score (OR = 1.5 (95% CI 1.2–1.7), P = 0.001) were predictors of AKI, with 20.4% of patients started on hemodialysis. At the time of discharge, 58% of patients with AKI died compared to 51.3% of patients without AKI (P = 0.05). 88% of patients with AKIN 3 died by the time of discharge compared to patients with AKIN 2 and 1 (75.3% and 61.2% respectively, P = 0.001). Conclusion. AKI is common in ICU patients, and it increases mortality and morbidity. Close attention for earlier detection and addressing risk factors for AKI is needed to decrease incidence, complications, and mortality.

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The incidence, risk factors, and outcomes of acute kidney injury in the intensive care unit in Sudan

International Journal of Clinical Pharmacy ◽

10.1007/s11096-020-01147-5 ◽

2020 ◽

Vol 42 (6) ◽

pp. 1447-1455

Author(s):

Salma Mohammed Magboul ◽

Bashier Osman ◽

Asim Ahmed Elnour

Keyword(s):

Risk Factors ◽

Intensive Care Unit ◽

Acute Kidney Injury ◽

Intensive Care ◽

Kidney Injury ◽

Incidence Risk

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Acute kidney injury epidemiology, risk factors, and outcomes in critically ill patients 16–25 years of age treated in an adult intensive care unit

Annals of Intensive Care ◽

10.1186/s13613-018-0373-y ◽

2018 ◽

Vol 8 (1) ◽

Cited By ~ 13

Author(s):

Dana Y. Fuhrman ◽

Sandra Kane-Gill ◽

Stuart L. Goldstein ◽

Priyanka Priyanka ◽

John A. Kellum

Keyword(s):

Risk Factors ◽

Intensive Care Unit ◽

Acute Kidney Injury ◽

Intensive Care ◽

Critically Ill ◽

Critically Ill Patients ◽

Kidney Injury ◽

Adult Intensive Care Unit ◽

Injury Epidemiology

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Risk Factors and Outcomes of Acute Kidney Injury in Critically Ill Patients with Coronavirus Disease 2019

Kidney Diseases ◽

10.1159/000512270 ◽

2020 ◽

pp. 1-9

Author(s):

Yichun Cheng ◽

Nanhui Zhang ◽

Ran Luo ◽

Meng Zhang ◽

Zhixiang Wang ◽

...

Keyword(s):

Risk Factors ◽

Intensive Care Unit ◽

Mechanical Ventilation ◽

Acute Kidney Injury ◽

Logistic Regression ◽

Regression Analysis ◽

Intensive Care ◽

Hospital Mortality ◽

Kidney Injury ◽

Stage 1

Background: Coronavirus disease 2019 (COVID-19) has emerged as a major global health threat with a great number of deaths worldwide. Acute kidney injury (AKI) is a common complication in patients admitted to the intensive care unit. We aimed to assess the incidence, risk factors and in-hospital outcomes of AKI in COVID-19 patients admitted to the intensive care unit. Methods: We conducted a retrospective observational study in the intensive care unit of Tongji Hospital, which was assigned responsibility for the treatments of severe COVID-19 patients by the Wuhan government. AKI was defined and staged based on Kidney Disease: Improving Global Outcomes (KDIGO) criteria. Mild AKI was defined as stage 1, and severe AKI was defined as stage 2 or stage 3. Logistic regression analysis was used to evaluate AKI risk factors, and Cox proportional hazards model was used to assess the association between AKI and in-hospital mortality. Results: A total of 119 patients with COVID-19 were included in our study. The median patient age was 70 years (interquartile range, 59–77) and 61.3% were male. Fifty-one (42.8%) patients developed AKI during hospitalization, corresponding to 14.3% in stage 1, 28.6% in stage 2 and 18.5% in stage 3, respectively. Compared to patients without AKI, patients with AKI had a higher proportion of mechanical ventilation mortality and higher in-hospital mortality. A total of 97.1% of patients with severe AKI received mechanical ventilation and in-hospital mortality was up to 79.4%. Severe AKI was independently associated with high in-hospital mortality (OR: 1.82; 95% CI: 1.06–3.13). Logistic regression analysis demonstrated that high serum interleukin-8 (OR: 4.21; 95% CI: 1.23–14.38), interleukin-10 (OR: 3.32; 95% CI: 1.04–10.59) and interleukin-2 receptor (OR: 4.50; 95% CI: 0.73–6.78) were risk factors for severe AKI development. Conclusions: Severe AKI was associated with high in-hospital mortality, and inflammatory response may play a role in AKI development in critically ill patients with COVID-19.

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A Study of Acute Kidney Injury in a Tertiary Care Pediatric Intensive Care Unit

Journal of Pediatric Intensive Care ◽

10.1055/s-0040-1716577 ◽

2020 ◽

Author(s):

Akanksha C. Parikh ◽

Milind S. Tullu

Keyword(s):

Risk Factors ◽

Intensive Care Unit ◽

Acute Kidney Injury ◽

Intensive Care ◽

Hospital Stay ◽

Pediatric Intensive Care Unit ◽

Tertiary Care ◽

Kidney Injury ◽

Pediatric Intensive Care ◽

Critically Ill Children

AbstractThe objective of this study was to calculate the incidence, severity, and risk factors for acute kidney injury (AKI) in a tertiary care pediatric intensive care unit (PICU). Also, to assess the impact of AKI and its varying severity on mortality and length of hospital and PICU stays. A prospective observational study was performed in children between 1 month and 12 years of age admitted to the PICU between July 1, 2013, and July 31, 2014 (13 months). The change in creatinine clearance was considered to diagnose and stage AKI according to pediatric risk, injury, failure, loss, and end-stage renal disease criteria. The risk factors for AKI and its impact on PICU stay, hospital stay, and mortality were evaluated. Of the total 220 patients enrolled in the study, 161 (73.2%) developed AKI, and 59 cases without AKI served as the “no AKI” (control) group. Majority (57.1%) of children with AKI had Failure grade of AKI, whereas 26.1% had Risk grade and 16.8% had Injury grade of AKI. Infancy (p = 0.000), hypovolemia (p = 0.005), shock (p = 0.008), and sepsis (p = 0.022) were found to be significant risk factors for AKI. Mortality, PICU stay, and hospital stay were comparable in children with and without AKI as well as between the various grades of renal injury (i.e., Failure, Risk, and Injury). An exceedingly high incidence of AKI, especially of the severe Failure grade was observed in critically ill children. Infancy and frequent PICU occurrences such as sepsis, hypovolemia, and shock predisposed to AKI.

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Incidence, Risk factors, and Biomarkers Predicting Ischemic or Hemorrhagic Stroke Associated Acute Kidney Injury and Outcome: A Retrospective Study in a General Intensive Care Unit

Blood Purification ◽

10.1159/000499029 ◽

2019 ◽

Vol 47 (4) ◽

pp. 317-326 ◽

Cited By ~ 3

Author(s):

Fang Jiang ◽

Lianjiu Su ◽

Hui Xiang ◽

Xiaoyi Zhang ◽

Dongxue Xu ◽

...

Keyword(s):

Risk Factors ◽

Intensive Care Unit ◽

Acute Kidney Injury ◽

Intensive Care ◽

Hemorrhagic Stroke ◽

Kidney Injury ◽

Roc Curves ◽

Regression Analyses ◽

Stroke Patients ◽

Icu Admission

Objective: We investigated the epidemiology, risk factors, and predictive parameters for ischemic or hemorrhagic stroke-associated acute kidney injury (AKI) and mortality in a general intensive care unit (ICU) in China. Methods: During 5 years, 479 stroke patients were screened, and 381 were enrolled. AKI was diagnosed within 7 days after ICU admission, based on the Kidney Disease Improving Global Outcomes criteria. Risk factors of AKI were assessed by Logistic regression analyses, and the predictive biomarkers for AKI were determined using receiver operating characteristic (ROC) curves. Also examined were factors influencing 28-day mortality, using Cox regression analyses and Kaplan-Meier curves. Results: Among all, 115 (30.18%) patients developed AKI. Multivariate regression analyses revealed that the following features at ICU admission significantly increased the risk of developing AKI: an increased National Institutes of Health Stroke Scale score (OR 1.136, p < 0.001) and Acute Physiology and Chronic Health Evaluation II score (OR 1.107, p = 0.042); hypertension (OR 2.346, p = 0.008); use of loop diuretics (OR 1.961, p = 0.032); and higher serum cystatin C (sCysC; OR 8.156, p = 0.001). The area under the ROC curves for predicting AKI using sCysC was 0.772, slightly better than that of other biomarkers. The sCysC ≥0.93 mg/L (hazard ratio 1.844, p = 0.004) significantly predicted 28-day mortality. Conclusions: Among stroke patients in ICU, we identified significant risk factors of stroke-associated AKI. Serum CysC level at ICU admission was an important biomarker for predicting AKI and 28-day mortality.

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