Outcomes of PD for AKI treatment during COVID-19 in New York City: A multicenter study.

BACKGROUND: The high incidence of acute kidney injury (AKI) requiring dialysis associated with COVID-19 led to the use of peritoneal dialysis (PD) for the treatment of AKI. This study aims to compare in-hospital all-cause mortality and kidney recovery between patients with AKI who received acute PD versus extracorporeal dialysis (intermittent haemodialysis and continuous kidney replacement therapy). METHODS: In a retrospective observational study of 259 patients with AKI requiring dialysis during the COVID-19 surge during Spring 2020 in New York City, we compared 30-day all-cause mortality and kidney recovery between 93 patients who received acute PD at any time point and 166 patients who only received extracorporeal dialysis. Kaplan-Meier curves, log-rank test and Cox regression were used to compare survival and logistic regression was used to compare kidney recovery. RESULTS: The mean age was 61 ± 11 years; 31% were women; 96% had confirmed COVID-19 with median follow-up of 21 days. After adjusting for demographics, comorbidities, oxygenation and laboratory values prior to starting dialysis, the use of PD was associated with a lower mortality rate compared to extracorporeal dialysis with a hazard ratio of 0.48 (95% confidence interval: 0.27-0.82, p = 0.008). At discharge or on day 30 of hospitalisation, there was no association between dialysis modality and kidney recovery (p = 0.48). CONCLUSIONS: The use of PD for the treatment of AKI was not associated with worse clinical outcomes when compared to extracorporeal dialysis during the height of the COVID-19 pandemic in New York City. Given the inherent selection biases and residual confounding in our observational study, research with a larger cohort of patients in a more controlled setting is needed to confirm our findings.

Unusual cases of peritonitis: A case series of five patients.

INTRODUCTION: Peritonitis is a complication in patients on peritoneal dialysis that frequently results from touch contamination. Most cases of peritoneal dialysis-related peritonitis are caused by skin organisms. Herein, we are presenting a series of peritonitis cases with unusual organisms in a single home dialysis center at an academic hospital in New York City. METHODS: The records of five patients with an unusual cause of peritonitis were reviewed by a clinician. We have chronologically tabulated the cell count of the dialysate, microbiologic cultures, and antibiotics received by each patient. Additionally, both a table and figure detail the microbiologic organisms that our dialysis unit encountered over the 3-year period concurrent with the infections reported. RESULTS: The first patient presented with refractory polymicrobial peritonitis due to a liver abscess. Another patient presented with diverticulitis and developed enteric peritonitis with various organisms. The following patient had peritonitis in the setting of bowel pathologies and from Rhizobium after exposure to plants. The next patient developed Pasteurella peritonitis from his cat. The final patient developed multiple episodes of peritonitis from organisms including flora native to soil and water. CONCLUSION: These uncommon cases of peritonitis with unusual circumstances bring awareness to various elements that can lead to peritonitis.

Utilising low-cost, easy-to-use microscopy techniques for early peritonitis infection screening in peritoneal dialysis patients.

Peritoneal dialysis (PD) patients are at high risk for peritonitis, an infection of the peritoneum that affects 13% of PD users annually. Relying on subjective peritonitis symptoms results in delayed treatment, leading to high hospitalisation costs, peritoneal scarring, and premature transition to haemodialysis. We have developed and tested a low-cost, easy-to-use technology that uses microscopy and image analysis to screen for peritonitis across the effluent drain tube. Compared to other technologies, our prototype is made from off-the-shelf, low-cost materials. It can be set up quickly and key stakeholders believe it can improve the overall PD experience. We demonstrate that our prototype classifies infection-indicating and healthy white blood cell levels in clinically collected patient effluent with 94% accuracy. Integration of our technology into PD setups as a screening tool for peritonitis would enable earlier physician notification, allowing for prompt diagnosis and treatment to prevent hospitalisations, reduce scarring, and increase PD longevity. Our findings demonstrate the versatility of microscopy and image analysis for infection screening and are a proof of principle for their future applications in health care.

Comparing the effect of peritoneal dialysis cycler type on patient-reported satisfaction, support needs and treatments.

BACKGROUND: Most patients on peritoneal dialysis (PD) in the United States choose automated PD via cyclers. Cyclers have evolved considerably over time with older versions (e.g. HomeChoice Pro) replaced by more sophisticated and technologically advanced versions (e.g. Amia). Understanding the effect that different cyclers and their features have on patient treatments and support needs is important.  METHODS: Single center study with retrospective and prospective arms. Retrospective arm: Patients > 18 years old, on Amia or HomeChoice Pro (HC) for ≥ 3 months between 8/1/17 and 1/31/18. Number of office/telephone encounters, PD-related emergency room visits/hospitalizations, PD training days, and dialysis adequacy (Kt/V) were recorded. Prospective arm: Patients > 18 years old, on Amia or HC for ≥ 3 months between 9/1/19 and 2/29/20 were surveyed on their comfort, troubleshooting, satisfaction and reported assistance needed with their cyclers. RESULTS: Retrospective arm: 43 patients on AMIA and 27 patients on HC. Number of PD training days, Kt/Vs achieved, PD-related telephone/office encounters, and PD-related emergency room visits/hospitalizations were all similar. Prospective Arm: 32 patients on AMIA and 6 patients on HC. Higher rate of patient comfort with AMIA, but similar overall patient satisfaction with both cyclers. No difference in terms of patient-reported troubleshooting issues requiring assistance. CONCLUSIONS: Despite the difference in features provided between the 2 cyclers, patient overall satisfaction rates were high irrespective of the PD cycler. The HomeChoice Pro and AMIA cycler patients had a similar number of PD training days, PD-related telephone/office encounters, and PD-related emergency room visits/hospitalizations. TRIAL REGISTRATION: This study was approved by the Icahn School of Medicine at Mount Sinai Institutional Review Board (IRB-17-02704).

Assessment of Studies of Quality Improvement Strategies to Enhance Outcomes in Patients With Cardiovascular Disease.

Importance: Clinical care quality improvement (QI) strategies are critical to prevent and control cardiovascular disease (CVD). However, there is limited evidence regarding which components of the health system-, clinician-, and patient-based QI strategies contribute to their impact on CVD. Objectives: To identify, map, and organize evidence on the effectiveness and implementation of cardiovascular QI strategies that seek to improve outcomes in patients with CVD. Evidence Review: Eight electronic databases (MEDLINE, EMBASE, CINAHL, PsycINFO, the Cochrane Library, ProQuest, ClinicalTrials.gov, and the World Health Organization International Clinical Trials Registry Platform) were searched for studies published between January 1, 2009, and October 25, 2019. Eligible study designs included randomized trials and preintervention and postintervention evaluations. Descriptive findings of included studies were reported using several frameworks to map the intervention components stratified by target population, setting, outcomes, and overall results. Findings: From 8066 screened titles and abstracts, 456 unique studies with 150 148 unique patients (38.1% women and 61.9% men; mean [SD] age, 64.6 [7.1] years) were identified, including 427 randomized trials, 21 quasi-randomized studies, and 8 preintervention and postintervention studies. Of 336 studies from 45 countries that were classified, 255 (75.9%) were from high-income countries; 68 (20.2%), upper-middle-income countries; 13 (3.9%), lower-middle-income countries; and 0, low-income countries, with diverse clinical settings and target patient populations (post-myocardial infarction, stroke, heart failure). Patient support (311 studies), information communication technology (ICT) for health (78 studies), community support (18 studies), supervision (15 studies), and high-intensity training (14 studies) were the most commonly evaluated QI strategies. Other strategies were group problem-solving (7 studies), printed information (5 studies), strengthening infrastructure (4 studies), and financial incentives (3 studies). Patient support, ICT for health, training, and community support were strategies that had been evaluated the most for clinical end points and showed modest associations with several clinical outcomes. The other strategies did not have outcome-driven evaluations reported. Group problem-solving was associated with improved patient self-care and quality of life. Strengthening infrastructure was associated with improved treatment satisfaction. Printed information and financial incentives showed no meaningful effect. Conclusions and Relevance: This systematic review found that substantial variations exist in the types, effectiveness, and implementation of QI strategies for patients with CVD. A comprehensive map of QI strategies created by this study would be useful for researchers to identify where new knowledge is needed to improve cardiovascular outcomes. Outcome-driven evaluations and long-term studies are needed, particularly in low-income settings, to better understand the effects of QI strategies on prevention and control of CVD.

Acute Kidney Injury and Advanced Kidney Disease in the COVID-19 Pandemic: Proceedings From a National Kidney Foundation Symposium.

The coronavirus disease 2019 (COVID-19) pandemic is an unprecedented and historic public health crisis that continues to expand and evolve. The National Kidney Foundation held a 2-part continuing medical education live virtual symposium on July 16 and July 24, 2020, to address the multiple challenges of COVID-19 in the context of advanced chronic kidney disease. Faculty addressed the pathophysiology, impact, risks, and management of COVID-19 as it relates to advanced kidney disease. Testing, risk mitigation, and inpatient and outpatient management were also addressed. This concise review addresses major findings of the symposium along with certain updates regarding vaccinations since then. These findings include: (1) severe COVID-19 infection has been associated with acute kidney injury, (2) it is essential to prevent and actively manage acute kidney injury to decrease mortality in these critically ill patients, (3) management of patients with advanced kidney disease should be geared toward minimizing their risk for exposure while making sure they are receiving adequate treatments, and (4) patients with kidney disease, especially ones in advanced stages, should be prioritized for vaccination.

Use of peritoneal dialysis for acute kidney injury during the COVID-19 pandemic in New York City: a multicenter observational study.

To demonstrate feasibility of acute peritoneal dialysis (PD) for acute kidney injury during the coronavirus disease 2019 (COVID-19) pandemic, we performed a multicenter, retrospective, observational study of 94 patients who received acute PD in New York City in the spring of 2020. Patient comorbidities, severity of disease, laboratory values, kidney replacement therapy, and patient outcomes were recorded. The mean age was 61 ± 11 years; 34% were women; 94% had confirmed COVID-19; 32% required mechanical ventilation on admission. Compared to the levels prior to initiation of kidney replacement therapy, the mean serum potassium level decreased from 5.1 ± 0.9 to 4.5 ± 0.7 mEq/L on PD day 3 and 4.2 ± 0.6 mEq/L on day 7 (P < 0.001 for both); mean serum bicarbonate increased from 20 ± 4 to 21 ± 4 mEq/L on PD day 3 (P = 0.002) and 24 ± 4 mEq/L on day 7 (P < 0.001). After a median follow-up of 30 days, 46% of patients died and 22% had renal recovery. Male sex and mechanical ventilation on admission were significant predictors of mortality. The rapid implementation of an acute PD program was feasible despite resource constraints and can be lifesaving during crises such as the COVID-19 pandemic.

Home Dialysis: A Majority Chooses It, a Minority Gets It.

INTRODUCTION: When choosing a modality for outpatient renal replacement therapy, patients and medical providers have 3 options to choose from in-center hemodialysis (HD), home HD (HHD), and peritoneal dialysis (PD). In 2017, just over 10% of incident ESKD patients were on a home dialysis modality. We set out to determine outcomes of dialysis modality education in both pre-dialysis and dialysis patients. Moreover, we examined barriers that preclude patients from choosing home dialysis. METHODS: This was a single-center, retrospective study looking at patients who were referred to the CKD educator for dialysis modality education between January 1, 2019, and March 31, 2020. Patient demographics, preferred language of communication, stage of renal disease, and reasons for patients' refusal to undertake a home dialysis modality were recorded. Patients' average household income and driving distance to our home dialysis unit were calculated using their home zip code. RESULTS: 167 patients were referred for CKD education. Mean age was 60 years, and 59% male, 42% African American, 22% White, 7% Asian, and 28% were Hispanic or Latino. Only 23% of the total cohort chose in-center HD, while 74% chose a home dialysis modality (59% PD and 15% HHD), and the remaining patients remained undecided. 56% of in-center HD patients chose a home dialysis modality. The most commonly cited barriers to home dialysis were lack of a care partner, lack of home space, and patient preference. LIMITATIONS: Over 90% of our patients reside in NY City where home space is limited. We require in our home HD program that patients have a trained care partner present during their treatments. We cannot assume that all CKD stage-4 patients or higher were either referred for CKD education or followed through on the referral. CONCLUSIONS: A large discrepancy between informed patients' choices and the reality of the current dialysis landscape. Absence of a care partner, lack of home space, and patients not deemed appropriate surgical candidates were the main driving forces in their not opting for a home modality.

The Association between Prevalence of Peritoneal Dialysis versus Hemodialysis and Patients' Distance to Dialysis-Providing Facilities.

Background: Accessibility to dialysis facilities plays a central role when deciding on a patient's long-term dialysis modality. Studies investigating the effect of distance to nearest dialysis-providing unit on modality choice have yielded conflicting results. We set out to investigate the association between patients' dialysis modality and both the driving and straight-line distances to the closest HD- and PD-providing units. Methods: All patients with ESKD who initiated in-center HD and PD in 2017, were 18-90 years old, and were on dialysis for ≥30 days were included. Patients in residence zip codes in nonconterminous United States or lived >90 miles from the nearest HD-providing unit were excluded. Results: A total of 102,247 patients in the United States initiated in-center HD and PD in 2017. Compared with patients on HD, patients on PD had longer driving distances to their nearest PD unit (4.4 versus 3.4 miles; P<0.001). Patients who lived >30 miles from the nearest HD unit were more likely to be on PD if the nearest PD unit was a distance equal to/less than that of the HD unit. PD utilization increased with increasing distance from patients' homes to the nearest HD unit. No change in this association was found regardless of if the PD unit was farther from/closer than the nearest HD unit. This association was not seen with straight-line distance analysis. Conclusions: With increasing distances from the nearest dialysis-providing units (HD or PD), PD utilization increased. Using driving distance rather than straight-line distance affects data analysis and outcomes. Increasing the number of PD units may have a limited effect on increasing PD utilization.

Bilateral Renal Artery Thrombosis in a Patient With COVID-19.

Reports of the incidence of acute kidney injury in patients with coronavirus disease 2019 (COVID-19) have varied greatly from 0.5% to as high as 39%, with onset generally within 7 days from time of admission. The nature of the kidney insult is acute tubular necrosis, immune cell infiltration, or rhabdomyolysis, as demonstrated in autopsy reports. Moreover, infection with COVID-19 has been associated with coagulation abnormalities, as well as complement-mediated generalized thrombotic microvascular injury. These patients have been found to have high D-dimer, fibrin degradation product, and fibrinogen values, an elevated international normalized ratio, normal partial thromboplastin time, and normal platelet count values. Renal artery thrombosis is a rare condition, the most common cause of which is atrial fibrillation. However, bilateral completely occlusive renal artery thrombosis is even rarer. We present a case of a patient with COVID-19 on systemic anticoagulation therapy who presented with a serum creatinine level of 6.04 mg/dL requiring the initiation of kidney replacement therapy and was found to have bilateral renal artery thrombosis.

COVID-19-Associated Acute Kidney Injury and Quantified Protein Catabolic Rate: A Likely Effect of Cytokine Storm on Muscle Protein Breakdown.

RATIONALE & OBJECTIVES: Previously we reported a cohort of patients with coronavirus disease 2019 (COVID-19)-associated acute kidney injury (AKI) with striking biochemical evidence of tissue breakdown in the absence of apparent rhabdomyolysis. We sought to quantify the extent of tissue catabolism in similar patients. STUDY DESIGN: During acute peritoneal dialysis (PD) in patients with COVID-19-associated AKI, we measured urea Kt/V adequacy and calculated the daily urea nitrogen generation rate while quantifying daily protein intake. SETTING & POPULATION: We did calculations in 8 patients with COVID-9-associated AKI undergoing acute PD at Mount Sinai Hospital in New York City. As a comparator, we obtained urea kinetic parameters from our database of ambulatory patients receiving maintenance PD. EXPOSURE OR PREDICTORS: 8 patients with COVID-19-associated AKI undergoing acute PD. OUTCOMES: Urea nitrogen generation rate in relation to daily protein intake. ANALYTICAL APPROACH: Urea nitrogen generation rate from urea kinetics was related to measured daily dietary protein intake in these patients and we compared it with this relationship in ambulatory maintenance PD patients for whom both parameters were calculated from urea kinetics. RESULTS: Urea nitrogen generation rate in patients with AKI was 10.2 ± 5 g/d, which is more than 2-fold higher than for stable outpatients receiving maintenance PD (4.7 ± 3 g/d) despite similar dietary protein intake (74.8 ± 11 vs 67.2 ± 29 g/d, respectively). This strongly suggests endogenous protein breakdown, probably from muscle. Urea nitrogen generation rate in these patients with AKI corresponds to 315 g/d of ongoing muscle breakdown and cumulative 2.5 kg of muscle breakdown during the early course of AKI. LIMITATIONS: Small number of participants and assumptions in comparing urea nitrogen generation rate with protein intake. CONCLUSIONS: In highly catabolic patients, an endogenous source of urea generation such as muscle protein breakdown seems to be the most likely explainable cause for our findings. This is the first study that we are aware of to quantify the degree of endogenous protein breakdown induced by COVID-19-related cytokine storm.

The association of standard Kt/V and surface area-normalized standard Kt/V with clinical outcomes in hemodialysis patients.

INTRODUCTION: A previous study demonstrated that the surface area-normalized standard Kt/V (SAstdKt/V) was better associated with mortality than standard Kt/V (stdKt/V). This study investigates the association of SAstdKt/V and stdKt/V with mortality, anemia, and hypoalbuminemia in a larger patient cohort with a longer follow-up period. METHODS: We included adult patients on thrice-weekly hemodialysis in the USRDS database and excluded amputated patients. StdKt/V and SAstdKt/V were calculated from the available single-pool Kt/V. Patients were categorized into five groups according to their stdKt/V and SAstdKt/V: <2.00, 2.00-2.19, 2.20-2.39, 2.40-2.59, and ≥2.60. Hazard ratios (HR) and odds ratios (OR) were calculated using Cox and logistic regression analysis respectively. FINDINGS: There were 507,656 patients included in the analysis. The patients had a median age of 65.5 years with a median follow-up period of 2 years. Thirty-four percent died during follow-up. HRs for mortality progressively decreased as SAstdKt/V increased in both unadjusted and adjusted models. Unlike SAstdKt/V, HRs were the lowest in the categories with stdKt/V of 2.40-2.59 and they increased in the higher stdKt/V category. The adjusted HR for SAstdKt/V vs. stdKt/V were 0.68 vs. 0.62 in the category of 2.40-2.59, and 0.63 vs. 0.73 in the category of ≥2.60. The adjusted ORs for anemia progressively decreased as SAstdKt/V increased, whereas ORs decreased to the lowest in stdKt/V category 2.40-2.59 and increased in the ≥2.60 category. The adjusted ORs for hypoalbuminemia progressively decreased as SAstdKt/V and stdKt/V increased which were both 0.45 in 2.40-2.59 category and decreased to 0.29 and 0.42 in the ≥2.60 category. DISCUSSION: SAstdKt/V is better associated with mortality, anemia, and hypoalbuminemia than stdKt/V. SAstdKt/V is a better parameter in defining hemodialysis dosing which can be calculated by an available online tool. Further studies to determine the optimal SAstdKt/V dose required to achieve improved clinical outcomes with better cost-effectiveness are needed.

Acute Kidney Injury in Hospitalized Patients with COVID-19.

IMPORTANCE: Preliminary reports indicate that acute kidney injury (AKI) is common in coronavirus disease (COVID)-19 patients and is associated with worse outcomes. AKI in hospitalized COVID-19 patients in the United States is not well-described. OBJECTIVE: To provide information about frequency, outcomes and recovery associated with AKI and dialysis in hospitalized COVID-19 patients. DESIGN: Observational, retrospective study. SETTING: Admitted to hospital between February 27 and April 15, 2020. PARTICIPANTS: Patients aged ≥18 years with laboratory confirmed COVID-19 Exposures: AKI (peak serum creatinine increase of 0.3 mg/dL or 50% above baseline). Main Outcomes and Measures: Frequency of AKI and dialysis requirement, AKI recovery, and adjusted odds ratios (aOR) with mortality. We also trained and tested a machine learning model for predicting dialysis requirement with independent validation. RESULTS: A total of 3,235 hospitalized patients were diagnosed with COVID-19. AKI occurred in 1406 (46%) patients overall and 280 (20%) with AKI required renal replacement therapy. The incidence of AKI (admission plus new cases) in patients admitted to the intensive care unit was 68% (553 of 815). In the entire cohort, the proportion with stages 1, 2, and 3 AKI were 35%, 20%, 45%, respectively. In those needing intensive care, the respective proportions were 20%, 17%, 63%, and 34% received acute renal replacement therapy. Independent predictors of severe AKI were chronic kidney disease, systolic blood pressure, and potassium at baseline. In-hospital mortality in patients with AKI was 41% overall and 52% in intensive care. The aOR for mortality associated with AKI was 9.6 (95% CI 7.4-12.3) overall and 20.9 (95% CI 11.7-37.3) in patients receiving intensive care. 56% of patients with AKI who were discharged alive recovered kidney function back to baseline. The area under the curve (AUC) for the machine learned predictive model using baseline features for dialysis requirement was 0.79 in a validation test. CONCLUSIONS AND RELEVANCE: AKI is common in patients hospitalized with COVID-19, associated with worse mortality, and the majority of patients that survive do not recover kidney function. A machine-learned model using admission features had good performance for dialysis prediction and could be used for resource allocation.