Dataset Information

The impact of increased awareness of acute kidney injury in the Neonatal Intensive Care Unit on acute kidney injury incidence and reporting: results of a retrospective cohort study.

ABSTRACT:

Objective

To evaluate the impact of nephrology integration in the NICU on acute kidney injury (AKI) incidence, provider reporting, and nephrology referral.

Study design

Cohort study in a single-center NICU from January 2012 to December 2017 (n = 1464). We assessed the impact of clinical practice changes including neonatal-nephrology rounds on the incidence of AKI.

Results

AKI occurred in 318 neonates (22%). AKI occurred less frequently in those admitted after clinical practice changes (P < 0.001). After multivariable adjustment, clinical practice changes were associated with reduced odds of AKI (adjusted odds ratio, 0.31; 95% CI 0.22-0.44, P < 0.001). Provider reporting of AKI improved (P < 0.001) and more neonates were referred for nephrology follow-up (P < 0.001).

Conclusions

Increased nephrology integration in the NICU was associated with decreased AKI incidence. While recognition of AKI improved, AKI remained poorly reported and nephrology AKI follow-up did not routinely occur. This study supports the importance of increased nephrology involvement in the NICU.

SUBMITTER: Starr MC

PROVIDER: S-EPMC7442645 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Publications

The impact of increased awareness of acute kidney injury in the Neonatal Intensive Care Unit on acute kidney injury incidence and reporting: results of a retrospective cohort study.

Starr Michelle C MC Kula Alexander A Lieberman Joshua J Menon Shina S Perkins Anthony J AJ Lam Teresa T Chabra Shilpi S Hingorani Sangeeta S

Journal of perinatology : official journal of the California Perinatal Association 20200717 9

<h4>Objective</h4>To evaluate the impact of nephrology integration in the NICU on acute kidney injury (AKI) incidence, provider reporting, and nephrology referral.<h4>Study design</h4>Cohort study in a single-center NICU from January 2012 to December 2017 (n = 1464). We assessed the impact of clinical practice changes including neonatal-nephrology rounds on the incidence of AKI.<h4>Results</h4>AKI occurred in 318 neonates (22%). AKI occurred less frequently in those admitted after clinical pract ...[more]

PMID: 32681064

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Project description:BackgroundAcute kidney injury is an acute and reversible increment in serum creatinine (SCr) levels with a reduction in urine output oliguria, or anuria. Acute kidney injury is a major cause of neonatal morbidity and mortality worldwide; it is a serious problem in low and middle-income countries, particularly in sub-Saharan Africa such as Ethiopia. Moreover, there are few studies in developing countries. This study aimed to investigate the incidence and predictors of acute kidney injury in neonates admitted to the neonatal intensive care unit of some specialized hospitals in the Amhara region of northwestern Ethiopia.MethodsA facility-based retrospective follow-up study was conducted in the Northwest Amhara Region's comprehensive specialized hospitals with 634 neonates from January 2020 to December 2022. Data were collected by reviewing patient charts using simple random sampling with a pretested checklist, entered using Epi-data 4.6, and analyzed using STATA 14. Median survival time, Kaplan-Meier survival curve, and log-rank test were calculated. Bivariable and multivariable Cox hazard models were used to determine the determinants of acute kidney injury. A hazard ratio with a 95% confidence interval was calculated. Variables with p-values less than 0.05 were considered statistically significant.ResultsThe incidence of Acute Kidney Injury among Neonates admitted to Neonatal Intensive Care Unit was 14.9 per 1000 (95% CI: 12.5-17.7) with the proportion of acute kidney injury (20.19%) (95% CI: 17.23-23.50) neonates with sepsis (AHR: 2.59; 95%CI: 1.21-5.56), neonates with perinatal asphyxia [(AHR: 2.70; 95%CI: 1.29-5.65) were taking gentamicin drugs [(AHR = 1.74; 95%CI: 1.03-2.94], neonates were preterm [(AHR; 1.77: 95%CI: 1.05 -2.98], and neonatal-hyponatremia [(AHR: 2.14; 95%CI: (1.00 -4.9)] and hyperkalemia [(AHR: 2.64; 95 CI: (1.11- 6.2)] were statistically found to be significant predictors of acute kidney injury.ConclusionsThe incidence of acute kidney injury in neonates was high. Premature infants, neonates with sepsis, who suffered perinatal asphyxia, who received gentamicin drugs, whose sodium levels decreased and potassium levels increased were at higher risk of developing acute kidney injury. All concerned agencies should work to prevent acute kidney injury and pay special attention to multifactorial causes. Therefore, strategies need to be developed and/or strengthened to prevent the occurrence of acute kidney injury in infants with sepsis, neonates who suffered perinatal asphyxia, and preterm infants whose sodium levels decreased and potassium levels increased.

Project description:BackgroundAcute kidney injury (AKI) represents a significant global health challenge, leading to increased patient distress and financial health care burdens. The development of AKI in intensive care unit (ICU) settings is linked to prolonged ICU stays, a heightened risk of long-term renal dysfunction, and elevated short- and long-term mortality rates. The current diagnostic approach for AKI is based on late indicators, such as elevated serum creatinine and decreased urine output, which can only detect AKI after renal injury has transpired. There are no treatments to reverse or restore renal function once AKI has developed, other than supportive care. Early prediction of AKI enables proactive management and may improve patient outcomes.ObjectiveThe primary aim was to develop a machine learning algorithm, NAVOY Acute Kidney Injury, capable of predicting the onset of AKI in ICU patients using data routinely collected in ICU electronic health records. The ultimate goal was to create a clinical decision support tool that empowers ICU clinicians to proactively manage AKI and, consequently, enhance patient outcomes.MethodsWe developed the NAVOY Acute Kidney Injury algorithm using a hybrid ensemble model, which combines the strengths of both a Random Forest (Leo Breiman and Adele Cutler) and an XGBoost model (Tianqi Chen). To ensure the accuracy of predictions, the algorithm used 22 clinical variables for hourly predictions of AKI as defined by the Kidney Disease: Improving Global Outcomes guidelines. Data for algorithm development were sourced from the Massachusetts Institute of Technology Lab for Computational Physiology Medical Information Mart for Intensive Care IV clinical database, focusing on ICU patients aged 18 years or older.ResultsThe developed algorithm, NAVOY Acute Kidney Injury, uses 4 hours of input and can, with high accuracy, predict patients with a high risk of developing AKI 12 hours before onset. The prediction performance compares well with previously published prediction algorithms designed to predict AKI onset in accordance with Kidney Disease: Improving Global Outcomes diagnosis criteria, with an impressive area under the receiver operating characteristics curve (AUROC) of 0.91 and an area under the precision-recall curve (AUPRC) of 0.75. The algorithm's predictive performance was externally validated on an independent hold-out test data set, confirming its ability to predict AKI with exceptional accuracy.ConclusionsNAVOY Acute Kidney Injury is an important development in the field of critical care medicine. It offers the ability to predict the onset of AKI with high accuracy using only 4 hours of data routinely collected in ICU electronic health records. This early detection capability has the potential to strengthen patient monitoring and management, ultimately leading to improved patient outcomes. Furthermore, NAVOY Acute Kidney Injury has been granted Conformite Europeenne (CE)-marking, marking a significant milestone as the first CE-marked AKI prediction algorithm for commercial use in European ICUs.

Dataset Information

The impact of increased awareness of acute kidney injury in the Neonatal Intensive Care Unit on acute kidney injury incidence and reporting: results of a retrospective cohort study.

Objective

Study design

Results

Conclusions

Publications

The impact of increased awareness of acute kidney injury in the Neonatal Intensive Care Unit on acute kidney injury incidence and reporting: results of a retrospective cohort study.

Similar Datasets

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