Kidney and Mortality Outcomes Associated with Ondansetron in Critically Ill Patients

2022 ◽  
pp. 088506662110735
Author(s):  
Matthew Gray ◽  
Priyanka Priyanka ◽  
Sandra Kane-Gill ◽  
Lirong Wang ◽  
John A. Kellum
Keyword(s):  
Acute Kidney Injury ◽  
Logistic Regression ◽  
Critical Care ◽  
Intensive Care ◽  
Kidney Disease ◽  
Primary Outcome ◽  
Kidney Injury ◽  
Multivariate Logistic Regression ◽  
Increased Risk ◽  
Secondary Outcomes

Background: Ondansetron is a preferred anti-emetic in critical care to treat nausea and vomiting, and has historically been considered a largely safe option. A recent pharmacoepidemiology study reported that ondansetron may be associated with an increased risk for acute kidney injury (AKI). Methods: We interrogated the High-Density Intensive Care (HiDenIC-15) database containing intensive care data for 13 hospitals across Western Pennsylvania between Oct 2008-Dec 2014. AKI was defined using the Kidney Disease, Improving Global Outcomes 2012 guidelines. Ondansetron use was considered as receiving any form of ondansetron within 24 h of admission. The subsequent 48 h (hours 25-72 after admission) were analyzed for outcomes. Primary outcome was development of AKI; secondary outcomes included 90-day mortality and time to AKI. Propensity-matched, multivariate logistic regression was applied for both outcomes. Comparator groups were metoclopramide and prochlorperazine using the same exposure criteria. Results:AKI occurred in 965 (5.6%), 12 (3.0%), and 61 (6.5%) patients receiving ondansetron, prochlorperazine, and metoclopramide, respectively. In the adjusted analysis, no anti-emetic was associated with a significant change in the odds of developing AKI. Ondansetron was associated with a 5.48% decrease (CI −6.17–−4.79) in death within 90 days of ICU-admission, which was independent of AKI status; an effect not seen with other anti-emetics. Anti-emetic usage was not associated with a change in the time to first AKI. Conclusion:Anti-emetic usage did not alter AKI risk. Ondansetron was associated with a significant decrease in 90-day mortality that was not seen by other anti-emetics, which requires further exploration.

scholarly journals Machine Learning for the Prediction of Progression in Patients with Acute Kidney Injury in Critical Care

2021 ◽  
Author(s):  
Lifan Zhang ◽  
Canzheng Wei ◽  
Yunxia Feng ◽  
Aijia Ma ◽  
Yan Kang
Keyword(s):  
Machine Learning ◽  
Acute Kidney Injury ◽  
Logistic Regression ◽  
Critical Care ◽  
Intensive Care ◽  
Logistic Regression Model ◽  
Kidney Injury ◽  
Gradient Boosting ◽  
Extreme Gradient Boosting ◽  
Stage 1

Abstract Background: Acute kidney injury (AKI) is a serve and harmful syndrome in the intensive care unit. The purpose of this study is to develop a prediction model that predict whether patients with AKI stage 1/2 will progress to AKI stage 3. Methods: Patients with AKI stage 1/2, when they were first diagnosed with AKI in the Medical Information Mart for Intensive Care (MIMIC-III), were included. We excluded patients who had underwent RRT or progressed to AKI stage 3 within 72 hours of the first AKI diagnosis. We also excluded patients with chronic kidney disease (CKD). We used the Logistic regression and machine learning extreme gradient boosting (XGBoost) to build two models which can predict patients who will progress to AKI stage 3. Established models were evaluated by cross-validation, receiver operating characteristic curve (ROC), and precision-recall curves (PRC). Results: We included 25711 patients, of whom 2130 (8.3%) progressed to AKI stage 3. Creatinine, multiple organ failure syndromes (MODS), blood urea nitrogen (BUN), sepsis, and respiratory failure were the most important in AKI progression prediction. The XGBoost model has a better performance than the Logistic regression model on predicting AKI stage 3 progression (AU-ROC, 0.926; 95%CI, 0.917 to 0.931 vs. 0.784; 95%CI, 0.771 to 0.796, respectively). Conclusions: The XGboost model can better identify patients with AKI progression than Logistic regression model. Machine learning techniques may improve predictive modeling in medical research. Keywords: Acute kidney injury; Critical care; Logistic Models; Extreme gradient boosting

scholarly journals Risk factors for 28-day mortality in patients with sepsis-related myocardial injury in intensive care units

2021 ◽  
Vol 49 (4) ◽  
pp. 030006052110047
Author(s):  
Meng Zhang ◽  
Meili Duan ◽  
Deyuan Zhi ◽  
Jin Lin ◽  
Pei Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Acute Kidney Injury ◽  
Logistic Regression ◽  
Intensive Care ◽  
Myocardial Injury ◽  
Kidney Injury ◽  
Oxygenation Index ◽  
Multivariate Logistic Regression ◽  
Norepinephrine Dose

Objective This study aimed to identify the risk factors for death in patients with sepsis-related myocardial injury. Methods A retrospective study was conducted in 158 patients with sepsis-related myocardial injury in a mixed medical intensive care unit from January 2009 to March 2020. The patients were divided into those who survived and those who died on the basis of whether they survived after 28 days. Demographic and clinical parameters were collected. Multivariate logistic regression was performed. Results Sixty-nine (43.7%) patients died within 28 days after admission to the intensive care unit. Multivariate logistic regression analysis showed that the oxygenation index (odds ratio [OR]: 0.979, 95% confidence interval [CI]: 0.970–0.989), acute kidney injury (OR: 4.787, 95% CI: 1.674–13.693), norepinephrine dose (OR: 1.706, 95% CI: 1.375–2.117), and abdominopelvic cavity infection (OR: 0.257, 95% CI: 0.076–0.866) were significantly associated with mortality within 28 days after admission in patients with sepsis-related myocardial injury. Conclusions Patients with sepsis-related myocardial injury have a high mortality rate. A high oxygenation index, occurrence of acute kidney injury, high norepinephrine dose, and occurrence of abdominopelvic cavity infection are independent risk factors for 28-day mortality in patients with sepsis-related myocardial injury.

scholarly journals Postoperative acute kidney injury in adult non-cardiac surgery: joint consensus report of the Acute Disease Quality Initiative and PeriOperative Quality Initiative

2021 ◽  
Author(s):  
John R. Prowle ◽  
Lui G. Forni ◽  
Max Bell ◽  
Michelle S. Chew ◽  
Mark Edwards ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Acute Kidney Injury ◽  
Cardiac Surgery ◽  
Kidney Disease ◽  
Kidney Injury ◽  
Adverse Outcomes ◽  
Baseline Risk ◽  
Major Surgery ◽  
Increased Risk

AbstractPostoperative acute kidney injury (PO-AKI) is a common complication of major surgery that is strongly associated with short-term surgical complications and long-term adverse outcomes, including increased risk of chronic kidney disease, cardiovascular events and death. Risk factors for PO-AKI include older age and comorbid diseases such as chronic kidney disease and diabetes mellitus. PO-AKI is best defined as AKI occurring within 7 days of an operative intervention using the Kidney Disease Improving Global Outcomes (KDIGO) definition of AKI; however, additional prognostic information may be gained from detailed clinical assessment and other diagnostic investigations in the form of a focused kidney health assessment (KHA). Prevention of PO-AKI is largely based on identification of high baseline risk, monitoring and reduction of nephrotoxic insults, whereas treatment involves the application of a bundle of interventions to avoid secondary kidney injury and mitigate the severity of AKI. As PO-AKI is strongly associated with long-term adverse outcomes, some form of follow-up KHA is essential; however, the form and location of this will be dictated by the nature and severity of the AKI. In this Consensus Statement, we provide graded recommendations for AKI after non-cardiac surgery and highlight priorities for future research.

scholarly journals Association Between Serum Osmolality and Acute Kidney Injury in Critically Ill Patients: A Retrospective Cohort Study

2021 ◽  
Vol 8 ◽  
Author(s):  
Jie Yang ◽  
Yisong Cheng ◽  
Ruoran Wang ◽  
Bo Wang
Keyword(s):  
Acute Kidney Injury ◽  
Logistic Regression ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Retrospective Cohort ◽  
Kidney Injury ◽  
High Serum ◽  
Serum Osmolality ◽  
Multivariate Logistic Regression ◽  
Low Serum

Purposes: Acute kidney injury (AKI) is a common complication in critically ill patients and is usually associated with poor outcomes. Serum osmolality has been validated in predicting critically ill patient mortality. However, data about the association between serum osmolality and AKI is still lacking in ICU. Therefore, the purpose of the present study was to investigate the association between early serum osmolality and the development of AKI in critically ill patients.Methods: The present study was a retrospective cohort analysis based on the medical information mart for intensive care III (MIMIC-III) database. 20,160 patients were involved in this study and divided into six subgroups according to causes for ICU admission. The primary outcome was the incidence of AKI after ICU admission. The association between early serum osmolality and AKI was explored using univariate and multivariate logistic regression analyses.Results: The normal range of serum osmolality was 285–300 mmol/L. High serum osmolality was defined as serum osmolality >300 mmol/L and low serum osmolality was defined as serum osmolality <285 mmol/L. Multivariate logistic regression indicated that high serum osmolality was independently associated with increased development of AKI with OR = 1.198 (95% CL = 1.199–1.479, P < 0.001) and low serum osmolality was also independently associated with increased development of AKI with OR = 1.332 (95% CL = 1.199–1.479, P < 0.001), compared with normal serum osmolality, respectively.Conclusions: In critically ill patients, early high serum osmolality and low serum osmolality were both independently associated with an increased risk of development of AKI.

scholarly journals Association of Intraoperative Hypotension with Acute Kidney Injury after Noncardiac Surgery in Patients Younger than 60 Years Old

2019 ◽  
Vol 44 (2) ◽  
pp. 211-221 ◽  
Author(s):  
Yongzhong Tang ◽  
Chaonan Zhu ◽  
Jiabin Liu ◽  
Anli Wang ◽  
Kaiming Duan ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Primary Outcome ◽  
Kidney Injury ◽  
Noncardiac Surgery ◽  
Intraoperative Hypotension ◽  
Outcome Relationship ◽  
Increased Risk ◽  
Interaction Factor ◽  
Surgical Duration ◽  
Postoperative Aki

Background/Aims: Intraoperative hypotension (IOH) may be associated with surgery-related acute kidney injury (AKI). However, the duration of hypotension that triggers AKI is poorly understood. The incidence of AKI with various durations of IOH and mean arterial pressures (MAPs) was investigated. Materials: A retrospective cohort study of 4,952 patients undergoing noncardiac surgery (2011 to 2016) with MAP monitoring and a length of stay of one or more days was performed. The exclusion criteria were a preoperative estimated glomerular filtration (eGFR) ≤60 mL min–1 1.73 m2–1, a preoperative MAP less than 65 mm Hg, dialysis dependence, urologic surgery, age older than 60 years, and a surgical duration of less than 60 min. The primary exposure was IOH, and the primary outcome was AKI (50% or 0.3 mg dL–1 increase in creatinine) during the first 7 postoperative days. Multivariable logistic regression was used to model the exposure-outcome relationship. Results: AKI occurred in 186 (3.76%) noncardiac surgery patients. The adjusted odds ratio for surgery-related AKI for a MAP of less than 55 mm Hg was 14.11 (95% confidence interval: 5.02–39.69) for an exposure of more than 20 min. Age was not an interaction factor between AKI and IOH. Conclusion: There was a considerably increased risk of postoperative AKI when intraoperative MAP was less than 55 mm Hg for more than 10 min. Strict blood pressure management is recommended even for patients younger than 60 years old.

scholarly journals Incidence of Acute Kidney Injury in Critically Ill Patients Receiving Vancomycin with Concomitant Piperacillin-Tazobactam, Cefepime, or Meropenem

2019 ◽  
Vol 63 (5) ◽  
Author(s):  
Adam M. Blevins ◽  
Jennifer N. Lashinsky ◽  
Craig McCammon ◽  
Marin Kollef ◽  
Scott Micek ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Retrospective Cohort ◽  
Primary Outcome ◽  
Independent Predictor ◽  
Kidney Injury ◽  
University Hospital ◽  
Increased Risk ◽  
Kdigo Guidelines

ABSTRACT Critically ill patients are frequently treated with empirical antibiotic therapy, including vancomycin and β-lactams. Recent evidence suggests an increased risk of acute kidney injury (AKI) in patients who received a combination of vancomycin and piperacillin-tazobactam (VPT) compared with patients who received vancomycin alone or vancomycin in combination with cefepime (VC) or meropenem (VM), but most studies were conducted predominately in the non-critically ill population. A retrospective cohort study that included 2,492 patients was conducted in the intensive care units of a large university hospital with the primary outcome being the development of any AKI. The rates of any AKI, as defined by the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines, were 39.3% for VPT patients, 24.2% for VC patients, and 23.5% for VM patients (P < 0.0001 for both comparisons). Similarly, the incidences of stage 2 and stage 3 AKI were also significantly higher for VPT patients than for the patients in the other groups. The rates of stage 2 and stage 3 AKI, respectively, were 15% and 6.6% for VPT patients, 5.8% and 1.8% for VC patients, and 6.6% and 1.3% for VM patients (P < 0.0001 for both comparisons). In multivariate analysis, the use of vancomycin in combination with piperacillin-tazobactam was found to be an independent predictor of AKI (odds ratio [OR], 2.161; 95% confidence interval [CI], 1.620 to 2.883). In conclusion, critically ill patients receiving the combination of VPT had the highest incidence of AKI compared to critically ill patients receiving either VC or VM.

scholarly journals MP234PREDICTIVE VALUE OF CHRONIC KIDNEY DISEASE (CKD) IN ACUTE KIDNEY INJURY (AKI) PRESENTATION IN AN INTENSIVE CARE UNIT (ICU) OF A LOCAL HOSPITAL

2016 ◽  
Vol 31 (suppl_1) ◽  
pp. i417-i418
Author(s):  
José María Peña Porta ◽  
María Esther Esteban Ciriano ◽  
Carmen Vicente de Vera Floristán ◽  
José Manuel Vicente de Vera Floristán ◽  
John Ros Añón ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Intensive Care Unit ◽  
Acute Kidney Injury ◽  
Intensive Care ◽  
Kidney Disease ◽  
Kidney Injury ◽  
Local Hospital

Incidence, Predictors, and Prognosis of Acute Kidney Injury Among Cardiac Arrest Survivors

2020 ◽  
pp. 088506662091135
Author(s):  
Abhishek Dutta ◽  
Krupal J. Hari ◽  
John Azizian ◽  
Youssef Masmoudi ◽  
Fatima Khalid ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Cardiac Arrest ◽  
Kidney Disease ◽  
Chronic Kidney Disease Stage ◽  
Kidney Injury ◽  
Disease Stage ◽  
Neurological Outcomes ◽  
Risk Of Mortality ◽  
Increased Risk ◽  
Acute Kidney Injury Stage

Background: Acute kidney injury (AKI) is common among cardiac arrest survivors. However, the outcomes and predictors are not well studied. Methods: This is a cohort study of cardiac arrest patients enrolled from January 2012 to December 2016 who were able to survive for 24 hours post-cardiopulmonary resuscitation. Patients with anuria, chronic kidney disease (stage 5), and end-stage renal disease were excluded. Acute kidney injury (stage 1) or higher was defined using Kidney Disease: Improving Global Outcomes classification. Multivariable adjusted regression models were used to compute hazard ratio (HR) for association of AKI with risk of mortality and odds ratio (OR) with risk of poor neurological outcomes after adjusting for demographics, comorbidities, and medical therapy. Multivariable logistic regression model was used to compute OR for association of various predictors with AKI. Results: Of 842 cardiac arrest survivors, 588 (69.8%) developed AKI. Among AKI patients, 69.4% died compared with 52.0% among non-AKI patients. In multivariable adjusted Cox proportional hazard model, development of AKI post-cardiac arrest was significantly associated with mortality (HR: 1.35; 95% confidence interval [CI]: 1.07-1.71, P = .01) and poor neurological outcomes defined as cerebral performance category >2 (OR: 2.27; 95% CI: 1.45-3.57, P < .001) and modified Rankin scale >3 (OR: 2.22; 95% CI: 1.43-3.45, P < .001). Postdischarge dialysis was also associated with increased risk of mortality (HR: 2.57; 95% CI: 1.57-4.23, P < .001). Use of vasopressors was strongly associated with development of AKI and continued need for postdischarge dialysis. Conclusions: Acute kidney injury was associated with increased risk of mortality and poor neurological outcomes. There is need for further studies to prevent AKI in cardiac arrest survivors.

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