Factors associated with poor outcomes of continuous renal replacement therapy

Ensemble Machine Learning for Predicting 90-Day Outcomes and Analyzing Risk Factors in Acute Kidney Injury Requiring Dialysis

Purpose

Our objectives were to (1) employ ensemble machine learning algorithms utilizing real-world clinical data to predict 90-day prognosis, including dialysis dependence and mortality, following the first hospitalized dialysis and (2) identify the significant factors associated with overall outcomes.

Patients and Methods

We identified hospitalized patients with Acute kidney injury requiring dialysis (AKI-D) from a dataset of the Taipei Medical University Clinical Research Database (TMUCRD) from January 2008 to December 2020. The extracted data comprise demographics, comorbidities, medications, and laboratory parameters. Ensemble machine learning models were developed utilizing real-world clinical data through the Google Cloud Platform.

Results

The Study Analyzed 1080 Patients in the Dialysis-Dependent Module, Out of Which 616 Received Regular Dialysis After 90 Days. Our Ensemble Model, Consisting of 25 Feedforward Neural Network Models, Demonstrated the Best Performance with an Auroc of 0.846. We Identified the Baseline Creatinine Value, Assessed at Least 90 Days Before the Initial Dialysis, as the Most Crucial Factor. We selected 2358 patients, 984 of whom were deceased after 90 days, for the survival module. The ensemble model, comprising 15 feedforward neural network models and 10 gradient-boosted decision tree models, achieved superior performance with an AUROC of 0.865. The pre-dialysis creatinine value, tested within 90 days prior to the initial dialysis, was identified as the most significant factor.

Conclusion

Ensemble machine learning models outperform logistic regression models in predicting outcomes of AKI-D, compared to existing literature. Our study, which includes a large sample size from three different hospitals, supports the significance of the creatinine value tested before the first hospitalized dialysis in determining overall prognosis. Healthcare providers could benefit from utilizing our validated prediction model to improve clinical decision-making and enhance patient care for the high-risk population.

Successful Liberation from Acute Kidney Replacement Therapy in Critically Ill Patients: A Prospective Cohort Study

INTRODUCTION

Recovery of kidney function to liberate patients from acute kidney replacement therapy (AKRT) is recognized as a vital patient-centered outcome. The lack of specific guidelines providing specific recommendations on therapy interruption is an important obstacle. We aimed to determine the prevalence of successful discontinuation of AKRT and its predictive factors after the elaboration of clinical protocol with these recommendations.

METHODOLOGY

A prospective cohort study was performed with 156 patients at a public Brazilian university hospital between July 2020 and July 2021.

RESULTS

Success and hospital discharge were achieved for most patients (84.6% and 89%, respectively). Multivariable logistic regression analysis showed that C-reactive protein (CRP), urine output, and creatinine clearance at the time of interruption were variables associated with discontinuation success (OR: 0.943, CI: 0.905-0.983, p = 0.006; OR: 1.078, CI: 1.008-1.173, p = 0.009 and OR: 1.091, CI: 1.012-1.213, p = 0.004; respectively). The areas under the curve for CRP, urine output, and creatinine clearance at the time of interruption were 0.78, 0.62, and 0.82, respectively. Both CRP and creatinine clearance were good predictors of successful liberation of AKRT. The optimal cutoff value of them had sensitivity and specificity of 0.88 and 0.87, 0.91 and 0.90, respectively. The use of noradrenalin at the time of interruption (OR: 0.143, CI: 0.047-0.441, p = 0.001) and successful discontinuation (OR: 3.745, CI: 1.047-13.393, p = 0.042) were identified as variables associated with hospital discharge.

CONCLUSION

Our results show the factors related to success in discontinuing AKRT are the CRP, creatinine clearances, and urinary output at the time of AKRT interruption and it was associated with lower mortality.

Hyperlactatemia is a predictor of mortality in patients undergoing continuous renal replacement therapy for acute kidney injury

BACKGROUND

Hyperlactatemia occurs frequently in critically ill patients, and this pathologic condition leads to worse outcomes in several disease subsets. Herein, we addressed whether hyperlactatemia is associated with the risk of mortality in patients undergoing continuous renal replacement therapy (CRRT) due to acute kidney injury.

METHODS

A total of 1,661 patients who underwent CRRT for severe acute kidney injury were retrospectively reviewed between 2010 and 2020. The patients were categorized according to their serum lactate levels, such as high (≥ 7.6 mmol/l), moderate (2.1-7.5 mmol/l) and low (≤ 2 mmol/l), at the time of CRRT initiation. The hazard ratios (HRs) for the risk of in-hospital mortality were calculated with adjustment of multiple variables. The increase in the area under the receiver operating characteristic curve (AUROC) for the mortality risk was evaluated after adding serum lactate levels to the Sequential Organ Failure Assessment (SOFA) and the Acute Physiology and Chronic Health Evaluation (APACHE) II score-based models.

RESULTS

A total of 802 (48.3%) and 542 (32.6%) patients had moderate and high lactate levels, respectively. The moderate and high lactate groups had a higher risk of mortality than the low lactate group, with HRs of 1.64 (1.22-2.20) and 4.18 (2.99-5.85), respectively. The lactate-enhanced models had higher AUROCs than the models without lactates (0.764 vs. 0.702 for SOFA score; 0.737 vs. 0.678 for APACHE II score).

CONCLUSIONS

Hyperlactatemia is associated with mortality outcomes in patients undergoing CRRT for acute kidney injury. Serum lactate levels may need to be monitored in this patient subset.

Factors predicting successful discontinuation of acute kidney replacement therapy: A retrospective cohort study

BACKGROUND

Treatment for severe acute kidney injury (AKI) typically involves the use of acute kidney replacement therapy (AKRT) to prevent or reverse complications.

METHODOLOGY

We aimed to determine the prevalence of successful discontinuation of AKRT and its predictive factors. A retrospective cohort study was performed with 316 patients hospitalized at a public Brazilian university hospital between January 2011 and June 2020.

RESULTS

Success and hospital discharge were achieved for most patients (85% and 74%, respectively). Multivariable logistic regression analysis showed that C-reactive protein (CRP), urine output, and need mechanical ventilation at the time of interruption were variable associated with discontinuation success (OR 0.969, CI 0.918-0.998, p = 0.031; OR 1.008, CI 1.001-1.012, p = 0.041 and OR 0.919, CI 0.901-0.991, p = 0.030; respectively), while the absence of comorbidities such as chronic kidney disease (OR 0.234, CI 0.08-0.683, p = 0.008), cardiovascular disease (OR 0.353, CI 0.134-0.929, p = 0.035) and hypertension (OR 0.278, CI 0.003-0.882, p = 0.009), as well as pH values at the time of AKRT indication (OR 1.273, CI 1.003-1.882, p = 0.041), mechanical ventilation at the time of interruption (OR 0.19, CI 0.19-0.954, p = 0.038) and successful discontinuation (OR 8.657, CI 3.135-23.906, p < 0.001) were identified as variables associated with hospital discharge.

CONCLUSION

These results show that clinical conditions such as comorbidities, urine output, and mechanical ventilation, and laboratory variables such as pH and CRP are factors associated with hospital discharge and AKRT discontinuation success, requiring larger studies for confirmation.

Characteristics and predictors of ICU-mortality in critically ill patients with hyperlactatemia requiring CRRT: A retrospective cohort study

BACKGROUND

Hyperlactatemia is a common complication in critically ill patients with high morbidity and mortality. Hyperlactatemia patients who require continuous renal replacement therapy (CRRT) constitute a subgroup with increased mortality risk. The clinical significance of serum lactate in these patients was not well understood and clearance of lactate using CRRT shown no survival benefits. The aim of this study is to investigate the incidence and non-lactate risk factors for ICU mortality in hyperlactatemia patients who underwent CRRT.

METHOD

Hyperlactatemia patients with a serum lactate level >2 μmol/L who underwent CRRT between January, 2014 and May, 2021 were retrospectively investigated. Demographic characteristics and clinical data were collected from the electronic medical record system. The primary endpoint was predictors for ICU mortality which were identified by using multivariate logistic regression analysis.

RESULTS

A total of 178 eligible patients were finally included with a mean age of 56.6 ± 17.9 years and a median APACHE II score of 18 (IQR (14-22)). The multivariate regression results showed that male gender (OR 0.55 (95%CI 0.27-1.12), p = 0.1), mechanical ventilation (OR 2.60 (95%CI 1.27-5.34), p = 0.008), history of hypertension (OR 2.40 (95%CI 1.12-5.14), p = 0.02), SOFA score (OR 1.16 (95%CI 1.05-1.28), p = 0.002), AST (OR 1.0005 (95%CI 0.99-1.001), p = 0.08), and PT (OR 1.08 (95%CI 0.99-1.17), p = 0.06) were independently associated with ICU mortality. After adjusting for age, illness severity (APACHE II score), and serum lactate level, the statistical significances of SOFA score (OR 1.16 (95%CI 1.04-1.29), p = 0.005), hypertension (OR 2.25 (95%CI 1.02-4.95), p = 0.04), and mechanical ventilation (OR 2.54 (95%CI 1.22-5.25), p = 0.01) were not affected. The overall ICU mortality was 58.4% (104/178).

CONCLUSION

The hyperlactatemia patients who underwent CRRT were at increased ICU mortality. Gender, AST, PT, SOFA score, history of hypertension, and mechanical ventilation were independent predictors for ICU mortality. Future studies with prospectively design, large sample size, and subgroup analyses are warranted to validate these findings.

Predictors of Mortality in Adults with Acute Kidney Injury Requiring Dialysis: A Cohort Analysis

Introduction

Acute kidney injury (AKI) requiring renal replacement therapy is accompanied by considerable mortality. This present study evaluated predictors of mortality at initiation of hemodialysis (HD) in AKI patients in Goma (in the Democratic Republic of the Congo (DRC)).

Methods

A single-centre cohort survey evaluated the clinical profile and survival rates of AKI patients admitted to HD in the only HD centre in Goma, North Kivu province (DRC). Data were collected from patients who underwent HD for AKI. Patient demographics, comorbidities, clinical presentation, laboratory tests, and mortality were reviewed and analyzed. The survival study used the Kaplan–Meier curve. Predictors of mortality were evaluated using Cox regression.

Results

Of the 131 eligible patients, the mean age was 43.69 ± 16.56 years (range: 18–90 years). Men represented 54.96% of the cohort. The overall HD mortality rate was 25.19% (n = 33). In multivariate analysis, independent predictors of mortality in AKI stage 3 patients admitted to HD were as follows: age ≥ 60 years (adjusted hazard ratio (AHR) = 15.89; 95% CI: 3.98–63.40; p < 0.0001), traditional herbal medicine intake (AHR = 5.10; 95% CI: 2.10–12.38; p < 0.0001), HIV infection (AHR = 5.55; 95% CI: 1.48–20.73; p=0.011), anemia (AHR = 9.57; 95% CI: 2.08–43.87; p=0.004), hyperkalemia (AHR = 6.23; 95% CI: 1.26–30.72; p=0.025), respiratory distress (AHR = 4.66; 95% CI: 2.07–10.50; p < 0.0001), and coma (AHR = 11.39; 95% CI: 3.51–36.89; p < 0.0001).

Conclusion

Initiation of hemodialysis with AKI has improved survival in patients with different complications.

Association of intermittent versus continuous hemodialysis modalities with mortality in the setting of acute stroke among patients with end-stage renal disease

Patients with end-stage renal disease (ESRD) are 8-10 times more likely to suffer from a stroke compared with the general public. Despite this risk, there are minimal data elucidating which hemodialysis modality is best for patients with ESRD following a stroke, and guidelines for their management are lacking. We retrospectively queried the US Renal Data System administrative database for all-cause mortality in ESRD stroke patients who received either intermittent hemodialysis (IHD) or continuous renal replacement therapy (CRRT). Acute ischemic stroke and hemorrhagic stroke were identified using the International Classification of Diseases 9th Revision (ICD-9)/ICD-10 codes, and hemodialysis modality was determined using Healthcare Common Procedure Coding System (HCPCS) codes. Time to death from the first stroke diagnosis was the outcome of interest. Cox proportional hazards modeling was used, and associations were expressed as adjusted HRs. From the inclusion cohort of 87,910 patients, 92.9% of patients received IHD while 7.1% of patients received CRRT. After controlling for age, race, sex, ethnicity, and common stroke risk factors such as hypertension, diabetes, tobacco use, atrial fibrillation, and hyperlipidemia, those who were placed on CRRT within 7 days of a stroke had an increased risk of death compared with those placed on IHD (HR=1.28, 95% CI 1.25 to 1.32). It is possible that ESRD stroke patients who received CRRT are more critically ill. However, even when the cohort was limited to only those patients in the intensive care unit and additional risk factors for mortality were controlled for, CRRT was still associated with an increased risk of death (HR=1.32, 95% CI 1.27 to 1.37). Therefore, further prospective clinical trials are warranted to address these findings.

Nomogram for Risk Prediction of Mortality for Patients with Critical Cardiovascular Disease Treated by Continuous Renal Replacement Therapy in Coronary Care Unit

Aims

To establish a nomogram-scoring model for evaluating the risk of death in patients with critical cardiovascular disease after continuous renal replacement therapy (CRRT) in a coronary care unit (CCU).

Methods

This retrospective cohort study included data collected on 172 patients, in whom CRRT was initiated in the CCU between January 2017 and June 2021. Predictors of mortality were selected using an adaptive least absolute shrinkage and selection operator logistic model and used to construct a nomogram. The nomogram was evaluated using the concordance index (C-index) and Hosmer-Lemeshow test.

Results

The number of patients who died in-hospital after CRRT was 91 (52.9%). The results of the multivariate logistic regression analyses clarified that age, history of hypertension and/or coronary artery bypass grafting, a diagnosis of unstable angina pectoris or acute myocardial infarction, ejection fraction, systolic blood pressure, creatinine, neutrophil, and platelet counts before CRRT initiation were significant predictors of early mortality in patients treated with CRRT. The nomogram constructed on these predictors demonstrated significant discriminative power with an unadjusted C-index of 0.902 (95% CI: 0.858-0.945) and a bootstrap-corrected C-index of 0.875. Visual inspection showed a good agreement between actual and predicted probabilities (Hosmer-Lemeshow χ 2 = 5.032, p-value = 0.754).

Conclusions

Our nomogram based on nine readily available predictors is a reliable and convenient tool for identifying critical patients undergoing CRRT at risk of mortality in the CCU.

Overview of Renal Replacement Therapy Use in a General Intensive Care Unit

OBJECTIVES

Population-based studies regarding renal replacement therapy (RRT) used in critical care populations are useful to understand the trend and impact of medical care interventions. We describe the use of RRT and associated outcomes (mortality and length of intensive care stay) in a level 1 hospital.

DESIGN

A retrospective descriptive observational study.

PATIENTS

Critically ill patients admitted to the ICU from 1 January to 31 December 2018.

INTERVENTIONS

Age, gender, ward of admission, primary organ dysfunction at admission, length of hospital stay (LOS), mechanical ventilation, APACHE, SOFA and ISS scores, the use of vasopressors, transfusion, RRT and the number of RRT sessions were extracted.

RESULTS

1703 critically ill patients were divided into two groups: the RRT-group (238 patients) and the non-RRT group (1465 patients). The mean age was 63.58 ± 17.52 (SD) in the final ICU studied patients (64.72 ± 16.64 SD in the RRT-group), 60.5% being male. Patients admitted from general surgery ward needing RRT were 41.4%. The specific scores, the use of vasopressors, transfusions and mortality were higher in the RRT-group. The ICU LOS was superior in the RRT-group, regardless of the primary organ dysfunction.

CONCLUSIONS

RRT was practiced in 13.9% of patients (especially after age of 61), with mortality being the outcome for 66.8% of the RRT-group patients. All analyzed data were higher in the RRT group, especially for multiple trauma and surgical patients, or patients presenting cardiac or renal dysfunctions at admission. We found significant increased ISS scores in the RRT-group, a significant association between the need of vasopressors or transfusion requirement and RRT use, and an association in the number of RRT sessions and LOS (p < 0.001).

Outcomes of Continuous Renal Replacement Therapy in a Community Health System

OBJECTIVE

Continuous renal replacement therapy (CRRT) is commonly used in critically ill, hemodynamically unstable patients with acute kidney injury (AKI). This procedure is resource intensive with reported high in-hospital mortality. We evaluated mortality with CRRT in our healthcare system and markers associated with decreased survival.

METHODS

A retrospective cohort study collected data on patients 18 years or older, without prior history of end stage kidney disease (ESKD), who received CRRT in the intensive care units at one of three hospitals in our health system in Columbus, OH from July 1, 2016 to July 1, 2019. Data included demographics, presenting diagnosis, comorbidities, laboratory markers, and patient disposition. In-hospital mortality rates and sequential organ failure assessment (SOFA) scores were calculated. We then compared information between two groups (patients who died during hospitalization and survivors) using univariate comparisons and multivariate logistic regression models.

RESULTS

In-hospital mortality was 56.8% (95%CI: 53.4-60.1) among patients who received CRRT. Mean SOFA scores did not differ between survival and mortality groups. The odds for in-patient mortality were increased for patients age ≥60 (OR = 1.74, 95%CI: 1.23-2.44), first bilirubin >2 mg/dL (OR = 1.73, 95%CI: 1.12-2.69), first creatinine < 2 mg/dL (OR = 1.57, 95%CI: 1.04-2.37), first lactate > 2 mmol/L (OR = 2.08, 95%CI: 1.43-3.04). The odds for in-patient mortality were decreased for patients with cardiogenic shock (OR = .32, 95%CI: .17-.58) and hemorrhagic shock (OR = .29, 95%CI: .13-.63).

CONCLUSIONS

We report in-hospital mortality rates of 56.8% with CRRT. Unlike prior studies, higher mean SOFA scores were not predictive of higher in-hospital mortality in patients utilizing CRRT.

Machine learning model to predict hypotension after starting continuous renal replacement therapy

Hypotension after starting continuous renal replacement therapy (CRRT) is associated with worse outcomes compared with normotension, but it is difficult to predict because several factors have interactive and complex effects on the risk. The present study applied machine learning algorithms to develop models to predict hypotension after initiating CRRT. Among 2349 adult patients who started CRRT due to acute kidney injury, 70% and 30% were randomly assigned into the training and testing sets, respectively. Hypotension was defined as a reduction in mean arterial pressure (MAP) ≥ 20 mmHg from the initial value within 6 h. The area under the receiver operating characteristic curves (AUROCs) in machine learning models, such as support vector machine (SVM), deep neural network (DNN), light gradient boosting machine (LGBM), and extreme gradient boosting machine (XGB) were compared with those in disease-severity scores such as the Sequential Organ Failure Assessment and Acute Physiology and Chronic Health Evaluation II. The XGB model showed the highest AUROC (0.828 [0.796-0.861]), and the DNN and LGBM models followed with AUROCs of 0.822 (0.789-0.856) and 0.813 (0.780-0.847), respectively; all machine learning AUROC values were higher than those obtained from disease-severity scores (AUROCs < 0.6). Although other definitions of hypotension were used such as a reduction of MAP ≥ 30 mmHg or a reduction occurring within 1 h, the AUROCs of machine learning models were higher than those of disease-severity scores. Machine learning models successfully predict hypotension after starting CRRT and can serve as the basis of systems to predict hypotension before starting CRRT.

The Association of Platelet Decrease Following Continuous Renal Replacement Therapy Initiation and Increased Rates of Secondary Infections

OBJECTIVES

Thrombocytopenia is common in critically ill patients treated with continuous renal replacement therapy and decreases in platelets following continuous renal replacement therapy initiation have been associated with increased mortality. Platelets play a role in innate and adaptive immunity, making it plausible that decreases in platelets following continuous renal replacement therapy initiation predispose patients to development of infection. Our objective was to determine if greater decreases in platelets following continuous renal replacement therapy correlate with increased rates of secondary infection.

DESIGN

Retrospectivecohort analysis.

SETTING

This study uses a continuous renal replacement therapy database from Mayo Clinic (Rochester, MN), a tertiary academic center.

PARTICIPANTS

Adult patients who survived until ICU discharge and were on continuous renal replacement therapy for less than 30 days were included. A subgroup analysis was also performed in patients with thrombocytopenia (platelets < 100 × 103/µL) at continuous renal replacement therapy initiation.

MEASUREMENTS AND MAIN RESULTS

The primary predictor variable was a decrease in platelets from precontinuous renal replacement therapy levels of greater than 40% or less than or equal to 40%, although multiple cut points were analyzed. The primary outcome was infection after ICU discharge, and secondary endpoints included post-ICU septic shock and post-ICU mortality. Univariable, multivariable, and propensity-adjusted analyses were used to determine associations between the predictor variable and the outcomes.

RESULTS

Among 797 eligible patients, 253 had thrombocytopenia at continuous renal replacement therapy initiation. A greater than 40% decrease in platelets after continuous renal replacement therapy initiation was associated in the multivariable-adjusted models with increased odds of post-ICU infection in the full cohort (odds ratio, 1.49; CI, 1.02-2.16) and in the thrombocytopenia cohort (odds ratio, 2.63; CI, 1.35-5.15) cohorts.

CONCLUSIONS

Platelet count drop by greater than 40% following continuous renal replacement therapy initiation is associated with an increased risk of secondary infection, particularly in patients with thrombocytopenia at the time of continuous renal replacement therapy initiation. Further research is needed to evaluate the impact of both continuous renal replacement therapy and platelet loss on subsequent infection risk.

The landscape of renal replacement therapy in Veterans Affairs Medical Center intensive care units

Background

Outpatient dialysis is standardized with several evidence-based measures of adequacy and quality that providers aim to meet while providing treatment. By contrast, in the intensive care unit (ICU) there are different types of prolonged and continuous renal replacement therapies (PIRRT and CRRT, respectively) with varied strategies for addressing patient care and a dearth of nationally accepted quality parameters. To eventually describe appropriate quality measures for ICU-related renal replacement therapy (RRT), we first aimed to capture the variety and prevalence of basic strategies and equipment utilized in the ICUs of Veteran Affairs (VA) medical facilities with inpatient hemodialysis capabilities.

Methods

Via email to the dialysis directors of all VA facilities that provided inpatient hemodialysis during 2018, we requested survey participation regarding aspects of RRT in VA ICUs. Questions centered around the mode of therapy, equipment, solutions, prescription authority, nursing, anticoagulation, antimicrobial dosing, and access.

Results

Seventy-six centers completed the questionnaire, achieving a response rate of 87.4%. Fifty-five centers reported using PIRRT or CRRT in addition to intermittent hemodialysis. Of these centers, 42 reported being specifically CRRT-capable. Over half of respondents had the capabilities to perform PIRRT. Twelve centers (21.8%) were equipped to use slow low efficient dialysis (SLED) alone. Therapy was largely prescribed by nephrologists (94.4% of centers).

Conclusions

Within the VA system, ICU-related RRT practice is quite varied. Variation in processes of care, prescription authority, nursing care coordination, medication management, and safety practices present opportunities for developing cross-cutting measures of quality of intensive care RRT that are agnostic of modality choice.

Mortality predictors in critically ill patients with acute kidney injury requiring continuous renal replacement therapy

Background

Because of high cost of continuous renal replacement therapy (CRRT) and the high mortality rate among severe acute kidney injury patients, careful identification of patients who will benefit from CRRT is warranted. This study determined factors associated with mortality among critically ill patients requiring CRRT.

Methods

This was a retrospective observational study of 414 patients admitted to the intensive care unit of four hospitals in South Korea who received CRRT from June 2017 to September 2018. Patients were divided according to degree of fluid overload (FO) and disease severity. The Cox proportional hazards model was used to explore the effect of relevant variables on mortality.

Results

In-hospital mortality rate was 57.2%. Ninety-day mortality rate was 58.5%. Lower creatinine and blood pH were significant predictors of mortality. A one-unit increase in the Sequential Organ Failure Assessment (SOFA) score was associated with increased risk of and 90-day mortality (hazard ratio [HR], 1.07; p < 0.001). The risk of 90-day mortality in FO patients was 57.2% (p < 0.001) higher than in those without FO. High SOFA score was associated with increased risk for 90-day mortality (HR, 1.79; p = 0.03 and HR, 3.05; p = 0.001) in patients without FO and with FO ≤ 10%, respectively. The highest mortality rates were in patients with FO > 10%, independent of disease severity.

Conclusion

FO increases the risk of mortality independent of other factors, including severity of acute illness. Prevention of FO should be a priority, especially when managing the critically ill.

Acute Kidney Injury Requiring Dialysis and Incident Dialysis Patient Outcomes in US Outpatient Dialysis Facilities

BACKGROUND AND OBJECTIVES

About 30% of patients with AKI may require ongoing dialysis in the outpatient setting after hospital discharge. A 2017 Centers for Medicare & Medicaid Services policy change allows Medicare beneficiaries with AKI requiring dialysis to receive outpatient treatment in dialysis facilities. Outcomes for these patients have not been reported. We compare patient characteristics and mortality among patients with AKI requiring dialysis and patients without AKI requiring incident dialysis.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

We used a retrospective cohort design with 2017 Medicare claims to follow outpatients with AKI requiring dialysis and patients without AKI requiring incident dialysis up to 365 days. Outcomes are unadjusted and adjusted mortality using Kaplan-Meier estimation for unadjusted survival probability, Poisson regression for monthly mortality, and Cox proportional hazards modeling for adjusted mortality.

RESULTS

In total, 10,821 of 401,973 (3%) Medicare patients requiring dialysis had at least one AKI claim, and 52,626 patients were Medicare patients without AKI requiring incident dialysis. Patients with AKI requiring dialysis were more likely to be White (76% versus 70%), non-Hispanic (92% versus 87%), and age 60 or older (82% versus 72%) compared with patients without AKI requiring incident dialysis. Unadjusted mortality was markedly higher for patients with AKI requiring dialysis compared with patients without AKI requiring incident dialysis. Adjusted mortality differences between both cohorts persisted through month 4 of the follow-up period (all P=0.01), then, they declined and were no longer statistically significant. Adjusted monthly mortality stratified by Black and other race between patients with AKI requiring dialysis and patients without AKI requiring incident dialysis was lower throughout month 4 (1.5 versus 0.60, 1.20 versus 0.84, 1.00 versus 0.80, and 0.95 versus 0.74; all P<0.001), which persisted through month 7. Overall adjusted mortality risk was 22% higher for patients with AKI requiring dialysis (1.22; 95% confidence interval, 1.17 to 1.27).

CONCLUSIONS

In fully adjusted analyses, patients with AKI requiring dialysis had higher early mortality compared with patients without AKI requiring incident dialysis, but these differences declined after several months. Differences were also observed by age, race, and ethnicity within both patient cohorts.

Prognostic factors for the short-term mortality of patients with rheumatoid arthritis admitted to intensive care units

Background

Patients with rheumatoid arthritis (RA) have high mortality risk and are frequently treated in intensive care units (ICUs).

Methods

This was a retrospective observational study. This study included 67 patients (20 males, 47 females) with RA who were admitted at the ICU of our institution for ≥48 h between January 2008 and December 2017. We analyzed the 30-day mortality of these patients and the investigated prognostic factors in RA patients admitted to our ICU.

Results

Upon admission, the median age was 70 (range, 33–96) years, and RA duration was 10 (range, 0–61) years. The 5-year survival after ICU admission was 47%, and 30-day, 90-day, and 1-year mortality rates were 22, 27, and 37%, respectively. The major reasons for ICU admission were cardiovascular complications (24%) and infection (40%) and the most common ICU treatments were mechanical ventilation (69%), renal replacement (25%), and vasopressor (78%). In the 30-day mortality group, infection led to a fatal outcome in most cases (67%), and nonsurvival was associated with a significantly higher glucocorticoid dose, updated Charlson’s comorbidity index (CCI), and acute physiology and chronic health evaluation (APACHE) II score. Laboratory data obtained at ICU admission showed that lower platelet number and total protein and higher creatinine and prothrombin time international normalized ratio (PT-INR) indicated significantly poorer prognosis. The multivariate Cox proportional hazard model revealed that nonuse of csDMARDs, high updated CCI, increased APACHE II score, and prolonged PT-INR were associated with a higher risk of mortality after ICU admission.

Conclusion

Our study demonstrated that the nonuse of csDMARDs, high updated CCI, elevated APACHE II score, and coagulation abnormalities predicted poorer prognosis in RA patients admitted to the ICU.

Factors Associated with In-Hospital Mortality after Continuous Renal Replacement Therapy for Critically Ill Patients: A Systematic Review and Meta-Analysis

Continuous renal replacement therapy (CRRT) is a broadly-accepted treatment for critically ill patients with acute kidney injury to optimize fluid and electrolyte management. Despite intensive dialysis care, there is a high mortality rate among these patients. There is uncertainty regarding the factors associated with in-hospital mortality among patients requiring CRRT. This review evaluates how various risk factors influence the in-hospital mortality of critically ill patients who require CRRT. Five databases were surveyed to gather relevant publications up to 30 June 2020. We identified 752 works, of which we retrieved 38 in full text. Finally, six cohort studies that evaluated 1190 patients were eligible. The in-hospital mortality rate in these studies ranged from 38.6 to 62.4%. Our meta-analysis results showed that older age, lower body mass index, higher APACHE II and SOFA scores, lower systolic and diastolic blood pressure, decreased serum creatinine level, and increased serum sodium level were significantly associated with increased in-hospital mortality in critically ill patients who received CRRT. These results suggest that there are multiple modifiable factors that influence the risk of in-hospital mortality in critically ill patients undergoing CRRT. Further, healthcare professionals should take more care when CRRT is performed on older adults.

Contemporary Management of Severe Acute Kidney Injury and Refractory Cardiorenal Syndrome: JACC Council Perspectives

Acute kidney injury (AKI) and cardiorenal syndrome (CRS) are increasingly prevalent in hospitalized patients with cardiovascular disease and remain associated with poor short- and long-term outcomes. There are no specific therapies to reduce mortality related to either AKI or CRS, apart from supportive care and volume status management. Acute renal replacement therapies (RRTs), including ultrafiltration, intermittent hemodialysis, and continuous RRT are used to manage complications of medically refractory AKI and CRS and may restore normal electrolyte, acid-base, and fluid balance before renal recovery. Patients who require acute RRT have a significant risk of mortality and long-term dialysis dependence, emphasizing the importance of appropriate patient selection. Despite the growing use of RRT in the cardiac intensive care unit, there are few resources for the cardiovascular specialist that integrate the epidemiology, diagnostic workup, and medical management of AKI and CRS with an overview of indications, multidisciplinary team management, and transition off of RRT.

A meta-analysis of clinical predictors for renal recovery and overall mortality in acute kidney injury requiring continuous renal replacement therapy

PURPOSE

To determine clinical predictors for continuous renal replacement therapy (CRRT) discontinuation in patients with acute kidney injury (AKI).

MATERIALS AND METHODS

Ovid MEDLINE, EMBASE, and Cochrane Library were searched. The protocol is registered on researchregistry.com (reviewregistry909). Our criteria included non-end-stage kidney disease adults who required CRRT for AKI. Renal recovery was defined by CRRT discontinuation. Risk of bias was assessed using ROBINS-I tool.

RESULTS

We classified our analyses into renal recovery cohort and overall mortality cohort. All studies were observational. For renal recovery cohort, increasing urine output at time of CRRT discontinuation, elevated initial SOFA score and serum creatinine at CRRT initiation were predictive of renal recovery with OR 1.021 (95%CI = 1.011-1.031), 0.869 (95%CI = 0.811-0.932) and 0.995 (95%CI = 0.996-0.999), respectively. For overall mortality cohort, age and presence of sepsis were significantly associated with overall mortality with OR of 1.028 (95%CI = 1.008-1.048) and 2.160 (95%CI = 0.973-1.932), respectively.

CONCLUSIONS

Urine output at CRRT discontinuation, lower initial SOFA score, and lower serum creatinine levels at CRRT initiation were associated with higher likelihood of renal recovery. Increasing age and the presence of sepsis were associated with increased overall mortality from AKI on CRRT. However, there were limited data on co-morbidities which might preclude their inclusion in our analysis.

Predicting mortality among critically ill patients with acute kidney injury treated with renal replacement therapy: Development and validation of new prediction models

PURPOSE

Severe acute kidney injury (AKI) is associated with a significant risk of mortality and persistent renal replacement therapy (RRT) dependence. The objective of this study was to develop prediction models for mortality at 90-day and 1-year following RRT initiation in critically ill patients with AKI.

METHODS

All patients who commenced RRT in the intensive care unit for AKI at a tertiary care hospital between 2007 and 2014 constituted the development cohort. We evaluated the external validity of our mortality models using data from the multicentre OPTIMAL-AKI study.

RESULTS

The development cohort consisted of 594 patients, of whom 320(54%) died and 40 (15% of surviving patients) remained RRT-dependent at 90-day Eleven variables were included in the model to predict 90-day mortality (AUC:0.79, 95%CI:0.76-0.82). The performance of the 90-day mortality model declined upon validation in the OPTIMAL-AKI cohort (AUC:0.61, 95%CI:0.54-0.69) and showed modest calibration. Similar results were obtained for mortality model at 1-year.

CONCLUSIONS

Routinely collected variables at the time of RRT initiation have limited ability to predict mortality in critically ill patients with AKI who commence RRT.

Incidence of chronic kidney disease hospitalisations and mortality in Espírito Santo between 1996 to 2017

INTRODUCTION

Chronic kidney disease (CKD) has a set of clinical and laboratory abnormalities where renal function loss is noted. The high prevalence of comorbidity of people living with CKD, its economic impact and its prognosis have made it a public health problem, justifying the need to implement preventive measures.

OBJECTIVE

To analyse the mortality and incidence of hospital admissions for CKD.

METHODS

Ecological study with a time series design using secondary microdata of deaths and hospital admissions from patients with CKD from 1996 to 2017 in the State of Espírito Santo, Brazil.

RESULTS

The average mortality rate of CKD during the studied years was 2.92 per 100,000 inhabitants per year. During this period global mortality was a stationary phenomenon. In women, the trend of mortality from 2005 on increased 7,87% per year. Between 2008 and 2017, the average incidence hospital admissions due to CKD per year was 45.76 per 100,000 inhabitants. It was observed that the overall hospital admission increased by the equivalent of 6.23% per year. More than a half of mortality and hospitalisations correspond to male patients over 50 years of age. In terms of mortality, 32.99% corresponded to Caucasian patients, while 35.13% of hospitalisations were mixed race.

CONCLUSION

We found that age and gender are factors associated with deaths and hospitalisations for chronic kidney disease. While hospitalisation increases 6.23% per year, global mortality remains stationary. However, from 2005 onwards a trend towards increasing of 7.87%/annual in mortality was observed in women.

Hypotension within one-hour from starting CRRT is associated with in-hospital mortality

PURPOSE

To investigate early hemodynamic instability and its implications on adverse outcomes in patients who require continuous renal replacement therapy (CRRT).

MATERIALS AND METHODS

A retrospective study of patients admitted to the intensive care unit (ICU) and underwent CRRT at Mayo Clinic, Rochester, Minnesota between December 2006 through November 2015.

RESULTS

Multivariate logistic regression was performed to identify predictors of in-hospital mortality and major adverse kidney events (MAKE) at 90 days. Hypotension was defined as any of the following criteria occurring during the first hour of CRRT initiation: mean arterial pressure < 60 mmHg, systolic blood pressure (SBP) <90 mmHg or a decline in SBP >40 mmHg from baseline, a positive fluid balance >500 mL or increased vasopressor requirement. The analysis included 1743 patients, 1398 with acute kidney injury (AKI). In-hospital mortality occurred in 884 patients (51%). Early hypotension occurred in 1124 patients (64.6%) and remained independently associated with in-hospital mortality (OR 1.56, 95% CI: 1.25-1.9).

CONCLUSION

Hypotension occurs frequently in patients receiving CRRT despite having a reputation as the dialysis modality with better hemodynamic tolerance. It is an independent predictor for worse outcomes. Further studies are required to understand this phenomenon.

Icodextrin Is Associated with a Lower Mortality Rate in Peritoneal Dialysis Patients

Background:Icodextrin (ICO) improves fluid removal in peritoneal dialysis (PD) patients. However, whether physiological benefits of ICO translate into patient survival remains unclear. We examine the association of ICO and clinical outcomes.Methods:We identified patients who initiated long-term PD from the National Health Insurance Research Database of Taiwan. We matched ICO users with non-users according to propensity score and survival status when ICO was prescribed. We utilized time-dependent analyses to avoid immortal time bias. Additional competing risk models were utilized for the outcomes except for death. The outcomes of interest were time to death, technique failure, peritonitis, major adverse cardiovascular events (MACE), and hospitalization.Results:A total of 4,914 PD patients were enrolled and 2,836 PD patients (57.7%) were identified as ICO users. The ICO users had significantly better overall survival (hazard ratio [HR] 0.74; 95% confidence interval [CI] 0.63 - 0.86), especially among early ICO users (HR 0.64; 95% CI 0.54 - 0.77, p value for interaction: 0.007). The ICO users were associated with higher risk of peritonitis (subdistribution HR 1.22, 95% CI 1.06 - 1.14) and hospitalization (subdistribution HR 1.14, 95% CI 1.05 - 1.24), considering competing risk of death. However, when considering ICO use as a time-varying covariate, ICO users shared similar risks for technique failure, peritonitis, MACE, and hospitalization as non-users. The effect of ICO on mortality was especially prominent among those early users.Conclusions:After adjustments for immortal time biases, ICO users were significantly associated with approximately 20% reduction in mortality, especially among early users.

Palliative care for acute kidney injury patients in the intensive care unit

Patients with acute kidney injury (AKI) in the intensive care unit (ICU) are often suitable for palliative care due to the high symptom burden. The role of palliative medicine in this patient population is not well defined and there is a lack of established guidelines to address this issue. Because of this, patients in the ICU with AKI deprived of the most comprehensive or appropriate care. The reasons for this are multifactorial including lack of palliative care training among nephrologists. However, palliative care in these patients can help alleviate symptoms, improve quality of life, and decrease suffering. Palliative care physicians can determine the appropriateness and model of palliative care. In addition to shared decision-making, advance directives should be established with patients early on, with specific instructions regarding dialysis, and those advance directives should be respected.

Clinical characteristics of sepsis-induced acute kidney injury in patients undergoing continuous renal replacement therapy

Objective: The aim of this study was to investigate the clinical characteristics of sepsis-induced acute kidney injury (AKI) in patients undergoing continuous renal replacement therapy (CRRT).

Methods: From 2011 to 2015, we enrolled 340 patients who were treated with CRRT for sepsis at the Presbyterian Medical Center. In all patients, CRRT was performed using the PRISMA platform. We divided these patients into two groups (survivors and non-survivors) according to the 28-day all-cause mortality. We compared clinical characteristics and analyzed the predictors of mortality.

Results: The 28-day all-cause mortality was 62%. Survivors were younger than non-survivors and had higher platelet counts (178 ± 101 × 10³/mL vs. 134 ± 84 × 10³/mL, p < .01) and serum creatinine levels (4.2 ± 2.8 vs. 3.3 ± 2.7, p < .01). However, survivors had lower red blood cell distribution width (RDW) scores (14.9 ± 2.1 vs. 16.1 ± 3.3, p < .01) and APACHE II scores (24.5 ± 5.8 vs. 26.9 ± 5.7, p < .01) than non-survivors. Furthermore, survivors were more likely than non-survivors to have a urine output of >0.05 mL/kg/h (66% vs. 86%, p = .001) in the first day. In a multivariate logistic regression analysis, age, platelet count, RDW score, APACHE II score, serum creatinine level, and a urine output of <0.05 mL/kg/h the first day were prognostic factors for the 28-day all-cause mortality.

Conclusion: Age, platelet count, APACHE II score, RDW score, serum creatinine level, and urine output the first day are useful predictors for the 28-day all-cause mortality in sepsis patients requiring CRRT.