Conservative Kidney Management Practice Patterns and Resources in the United States: A Cross-Sectional Analysis of CKDopps (Chronic Kidney Disease Outcomes and Practice Patterns Study) Data.

Rationale & Objective: Conservative kidney management (CKM) is a viable treatment option for many patients with chronic kidney disease. However, CKM practices and resources in the United States are not well described. We undertook this study to gain a better understanding of factors influencing uptake of CKM by describing: (1) characteristics of patients who choose CKM, (2) provider practice patterns relevant to CKM, and (3) CKM resources available to providers. Study Design: Cross-sectional study. Setting & Participants: This study is a cross-sectional analysis of data from US nephrology clinics enrolled in the chronic kidney disease Outcomes and Practice Patterns Study (CKDopps) collected between 2014 and 2020. Data for this study includes chart-abstracted characteristics of patients with an estimated glomerular filtration rate ≤30mL/min/1.73m2 (n=1018) and available information on whether a decision had been made to pursue CKM at the time of kidney failure, patient (n=407) reports of discussions about forgoing dialysis, and provider (n=26) responses about CKM delivery and available resources in their health systems. Analytical Approach: Descriptive statistics were used to report patient demographics, clinical information, provider demographics, and clinic characteristics. Results: Among data from 1018 patients, 68 (7%) were recorded as planning for CKM. These patients were older, had more comorbidities, and were more likely to require assistance with transfers. Of the 407 patient surveys, 18% reported a conversation about forgoing dialysis with their nephrologist. A majority of providers felt comfortable discussing CKM; however, no clinics had a dedicated clinic or protocol for CKM. Limitations: Inconsistent survey terminology and unlinked patient and provider responses. Conclusions: Few patients reported discussion of forgoing dialysis with their providers and even fewer anticipated a choice of CKM on reaching kidney failure. Most providers were comfortable discussing CKM, but practiced in clinics that lacked dedicated resources. Further research is needed to improve the implementation of a CKM pathway. Plain-Language Summary: For older comorbid adults with kidney failure, conservative kidney management (CKM) can be an appropriate treatment choice. CKM is a holistic approach with treatment goals of maximizing quality of life and preventing progression of chronic kidney disease (CKD) without initiation of dialysis. We investigated US CKM practices and found that among 1018 people with CKD, only 7% were planning for CKM. Of 407 surveyed patients, 18% reported a conversation with their provider about forgoing dialysis. In contrast, most providers felt comfortable discussing CKM; however, none reported working in an environment with a dedicated CKM clinic or protocol. Our data show the need for further CKM education in the United States as well as dedicated resources for its delivery.

Effectiveness of a Web-Based Provider Communications Platform in Reducing Hospital Readmissions Among Patients Receiving Dialysis: A Pilot Pre-Post Study.

Rationale & Objective: Suboptimal care coordination between dialysis facilities and hospitals is an important driver of 30-day hospital readmissions among patients receiving dialysis. We examined whether the introduction of web-based communications platform ("DialysisConnect") was associated with reduced hospital readmissions. Study Design: Pilot pre-post study. Setting & Participants: A total of 4,994 index admissions at a single hospital (representing 2,419 patients receiving dialysis) during the study period (January 1, 2019-May 31, 2021). Intervention: DialysisConnect was available to providers at the hospital and 4 affiliated dialysis facilities (=intervention facilities) during the pilot period (November 1, 2020-May 31, 2021). Outcomes: The primary outcome was 30-day readmission; secondary outcomes included 30-day emergency department visits and observation stays. Interrupted time series and linear models with generalized estimating equations were used to assess pilot versus prepilot differences in outcomes; difference-in-difference analyses were performed to compare these differences between intervention versus control facilities. Sensitivity analyses included a third, prepilot/COVID-19 period (March 1, 2020-October 31, 2020). Results: There was no statistically significant difference in the monthly trends in the 30-day readmissions pilot versus prepilot periods (-0.60 vs -0.13, P = 0.85) for intervention facility admissions; the difference-in-difference estimate was also not statistically significant (0.54 percentage points, P = 0.83). Similar analyses including the prepilot/COVID-19 period showed that, despite a substantial drop in admissions at the start of the pandemic, there were no statistically significant differences across the 3 periods. The age-, sex-, race-, and comorbid condition-adjusted, absolute pilot versus prepilot difference in readmissions rate was 1.8% (-3.7% to 7.3%); similar results were found for other outcomes. Limitations: Potential loss to follow-up and pandemic effects. Conclusions: In this pilot, the introduction of DialysisConnect was not associated with reduced hospital readmissions. Tailored care coordination solutions should be further explored in future, multisite studies to improve the communications gap between dialysis facilities and hospitals.

A Web-Based, Provider-Driven Mobile App to Enhance Patient Care Coordination Between Dialysis Facilities and Hospitals: Development and Pilot Implementation Study.

BACKGROUND: We piloted a web-based, provider-driven mobile app (DialysisConnect) to fill the communication and care coordination gap between hospitals and dialysis facilities. OBJECTIVE: This study aimed to describe the development and pilot implementation of DialysisConnect. METHODS: DialysisConnect was developed iteratively with focus group and user testing feedback and was made available to 120 potential users at 1 hospital (hospitalists, advanced practice providers [APPs], and care coordinators) and 4 affiliated dialysis facilities (nephrologists, APPs, nurses and nurse managers, social workers, and administrative personnel) before the start of the pilot (November 1, 2020, to May 31, 2021). Midpilot and end-of-pilot web-based surveys of potential users were also conducted. Descriptive statistics were used to describe system use patterns, ratings of multiple satisfaction items (1=not at all; 3=to a great extent), and provider-selected motivators of and barriers to using DialysisConnect. RESULTS: The pilot version of DialysisConnect included clinical information that was automatically uploaded from dialysis facilities, forms for entering critical admission and discharge information, and a direct communication channel. Although physicians comprised most of the potential users of DialysisConnect, APPs and dialysis nurses were the most active users. Activities were unevenly distributed; for example, 1 hospital-based APP recorded most of the admissions (280/309, 90.6%) among patients treated at the pilot dialysis facilities. End-of-pilot ratings of DialysisConnect were generally higher for users versus nonusers (eg, "I can see the potential value of DialysisConnect for my work with dialysis patients": mean 2.8, SD 0.4, vs mean 2.3, SD 0.6; P=.02). Providers most commonly selected reduced time and energy spent gathering information as a motivator (11/26, 42%) and a lack of time to use the system as a barrier (8/26, 31%) at the end of the pilot. CONCLUSIONS: This pilot study found that APPs and nurses were most likely to engage with the system. Survey participants generally viewed the system favorably while identifying substantial barriers to its use. These results inform how best to motivate providers to use this system and similar systems and inform future pragmatic research in care coordination among this and other populations.

Fast track dialysis: Improving emergency department and hospital throughput for patients requiring hemodialysis.

OBJECTIVE: To describe the impact of a novel communication and triage pathway called fast track dialysis (FTD) on the length of stay (LOS), resource utilization, and charges for unscheduled hemodialysis for end stage renal disease (ESRD) patients presenting to the emergency department (ED). METHODS: Prospective and retrospective cohorts of ESRD patients meeting requirements of routine or urgent hemodialysis at a tertiary academic hospital from September 25th, 2016 to September 25th, 2018 in 1 year cohorts. Two sample t-tests were used to compare most outcomes of the cohorts with a Mann-Whitney U test used for skewed data. Nephrology group outcomes were analyzed by two-way ANOVA and Kruskal-Wallis and chi-square tests. RESULTS: There were 98 encounters in the historical cohort and 143 encounters in the fast track dialysis cohort. FTD had significantly lowered median ED LOS (4.05 h, vs 5.3 h, p < 0.001), median hospital LOS (12.8 h vs 27 h, p < 0.001), time to hemodialysis (4.78 h vs 7.29 h, p < 0.001), and median hospital charges ($26,040 vs $30,747, p < 0.016). The FTD cohort had increased 30 day ED return for each encounter compared to the historical cohort (1.85 visits vs 0.73 visits, p < 0.001), however no significant increase in 1 year ED visits (6.52 visits vs 5.80, p = 0.4589) or 1 year readmissions (5.89 readmissions vs 4.81 readmissions, p = 0.3584). Most nephrology groups had significantly lower time to hemodialysis order placement and time to start hemodialysis. CONCLUSION: A multidisciplinary approach with key stakeholders using a standard pathway can lead to improved efficiency in throughput, reduced charges, and hospital resource utilization for patients needing urgent or routine hemodialysis. A study with a dedicated geographic observation unit for protocolized short stay patients including conditions ranging from low risk chest pain to transient ischemic events that incorporates FTD patients under this protocol should be considered.

Making sense of DialysisConnect: a qualitative analysis of stakeholder viewpoints on a web-based information exchange platform to improve care transitions between dialysis clinics and hospitals.

BACKGROUND: U.S. hospitals and dialysis centers are penalized for 30-day hospital readmissions of dialysis patients, despite little infrastructure to facilitate care transitions between these settings. We are developing a third-party web-based information exchange platform, DialysisConnect, to enable clinicians to view and exchange information about dialysis patients during admission, hospitalization, and discharge. This health information technology solution could serve as a flexible and relatively affordable solution for dialysis facilities and hospitals across the nation who are seeking to serve as true partners in the improved care of dialysis patients. The purpose of this study was to evaluate the perceived coherence of DialysisConnect to key clinical stakeholders, to prepare messaging for implementation. METHODS: As part of a hybrid effectiveness-implementation study guided by Normalization Process Theory, we collected data on stakeholder perceptions of continuity of care for patients receiving maintenance dialysis and a DialysisConnect prototype before completing development and piloting the system. We conducted four focus groups with stakeholders from one academic hospital and associated dialysis centers [hospitalists (n = 5), hospital staff (social workers, nurses, pharmacists; n = 9), nephrologists (n = 7), and dialysis clinic staff (social workers, nurses; n = 10)]. Transcriptions were analyzed thematically within each component of the construct of coherence (differentiation, communal specification, individual specification, and internalization). RESULTS: Participants differentiated DialysisConnect from usual care variously as an information dashboard, a quick-exchange communication channel, and improved discharge information delivery; some could not differentiate it in terms of workflow. The purpose of DialysisConnect (communal specification) was viewed as fully coherent only for communicating outside of the same healthcare system. Current system workarounds were acknowledged as deterrents for practice change. All groups delegated DialysisConnect tasks (individual specification) to personnel besides themselves. Partial internalization of DialysisConnect was achieved only by dialysis clinic staff, based on experience with similar technology. CONCLUSIONS: Implementing DialysisConnect for clinical users in both settings will require presenting a composite picture of current communication processes from all stakeholder groups to correct single-group misunderstandings, as well as providing data about care transitions communication beyond the local context to ease resistance to practice change.

Long-term outcomes among Medicare patients readmitted in the first year of hemodialysis: a retrospective cohort study.

BACKGROUND: Readmission within 30 days of hospital discharge is common and costly among end-stage renal disease (ESRD) patients. Little is known about long-term outcomes after readmission. We estimated the association between hospital admissions and readmissions in the first year of dialysis and outcomes in the second year. METHODS: Data on incident dialysis patients with Medicare coverage were obtained from the United States Renal Data System (USRDS). Readmission patterns were summarized as no admissions in the first year of dialysis (Admit-), at least one admission but no readmissions within 30 days (Admit+/Readmit-), and admissions with at least one readmission within 30 days (Admit+/Readmit+).We used Cox proportional hazards models to estimate the association between readmission pattern and mortality, hospitalization, and kidney transplantation, accounting for demographic and clinical covariates. RESULTS: Among the 128,593 Medicare ESRD patients included in the study, 18.5% were Admit+/Readmit+, 30.5% were Admit+/Readmit-, and 51.0% were Admit-. Readmit+/Admit+ patients had substantially higher long-term risk of mortality (HR = 3.32 (95% CI, 3.21-3.44)), hospitalization (HR = 4.46 (95% CI, 4.36-4.56)), and lower likelihood of kidney transplantation (HR = 0.52 (95% CI, 0.44-0.62)) compared to Admit- patients; these associations were stronger than those among Admit+/Readmit- patients. CONCLUSIONS: Patients with readmissions in the first year of dialysis were at substantially higher risk of poor outcomes than either patients who had no admissions or patients who had hospital admissions but no readmissions. Identifying strategies to both prevent readmission and mitigate risk among patients who had a readmission may improve outcomes among this substantial, high-risk group of ESRD patients.

Burden and Correlates of Hospital Readmissions among U.S. Peritoneal Dialysis Patients.

Background:Hospital readmissions are common among in-center hemodialysis patients, but little is known about readmissions among peritoneal dialysis (PD) patients. Using national administrative data, we aimed to examine the burden and correlates of hospital readmissions among U.S. PD patients.Methods:Among 10,505 adult U.S. PD patients with an index admission (first admission after 120 days on dialysis) between 31 January 2011 and 30 November 2014, readmissions were defined as new hospital admissions within 30 days of index discharge. Multivariable logistic regression was used to obtain adjusted odds ratios (ORs) for readmission.Results:Overall, 26.8% of index admissions were followed by a readmission. Readmitted patients were more likely to have congestive heart failure (31.0% vs 25.4%; p < 0.001) and peripheral arterial disease (11.6% vs 8.6%; p < 0.001) and had longer index admission length of stay (median = 4 vs 3 days; p < 0.001) than those who were not; age, sex, and race did not differ by readmission status. After adjustment for patient and index admission characteristics, longer length of stay (≥ 4 vs < 4 days, OR = 1.48, 95% confidence interval [CI] 1.35 - 1.62), peripheral arterial disease (OR = 1.31, 95% CI 1.16 - 1.57), congestive heart failure (OR = 1.25, 95% CI 1.13 - 1.39), and ischemic heart disease (OR = 1.12, 95% CI 1.01 - 1.24) were associated with higher likelihood of readmission; index admission due to peritonitis vs other causes was associated with lower likelihood of readmission (OR = 0.80, 95% CI 0.70 - 0.92).Conclusions:Our results suggest that, particularly in the absence of a PD-related cause of hospitalization such as peritonitis, PD patients may be at high risk for readmission and may benefit from closer post-discharge monitoring.

Association of social worker-assessed psychosocial factors with 30-day hospital readmissions among hemodialysis patients.

BACKGROUND: Evidence regarding the effect of psychosocial factors on hospital readmission in the setting of hemodialysis is limited. We examined whether social worker-assessed factors were associated with 30-day readmission among prevalent hemodialysis patients. METHODS: Data on 14 factors were extracted from the first available psychosocial assessment performed by social workers at three metropolitan Atlanta dialysis centers. Index admissions (first admission preceded by ≥30 days without a previous hospital discharge) were identified in the period 2/1/10-12/31/14, using linked national administrative hospitalization data. Readmission was defined as any admission within 30 days after index discharge. Associations of each of the psychosocial factors with readmission were assessed using multivariable logistic regression with adjustment for patient and index admission characteristics. RESULTS: Among 719 patients with index admissions, 22.1% were readmitted within 30 days. No psychosocial factors were statistically significantly associated with readmission risk. However, history of substance abuse vs. none was associated with a 29% higher risk of 30-day readmission [OR: 1.29, 95% CI: 0.75-2.23], whereas depression/anxiety was associated with 20% lower risk [OR: 0.80, 95% CI: 0.47-1.36]. Patients who were never married and those who were divorced, or widowed had 38 and 17% higher risk of 30-day readmission, respectively, than those who were married [OR: 1.38, 95% CI: 0.84-2.72; OR: 1.17, 95% CI: 0.73-1.90]. CONCLUSIONS: Results suggest that psychosocial issues may be associated with risk of 30-day readmission among dialysis patients. Despite the limitations of lack of generalizability and potential misclassification due to patient self-report of psychosocial factors to social workers, further study is warranted to determine whether addressing these factors through targeted interventions could potentially reduce readmissions among hemodialysis patients.

Post-hospitalization dialysis facility processes of care and hospital readmissions among hemodialysis patients: a retrospective cohort study.

BACKGROUND: Both dialysis facilities and hospitals are accountable for 30-day hospital readmissions among U.S. hemodialysis patients. We examined the association of post-hospitalization processes of care at hemodialysis facilities with pulmonary edema-related and other readmissions. METHODS: In a retrospective cohort comprised of electronic medical record (EMR) data linked with national registry data, we identified unique patient index admissions (n = 1056; 2/1/10-7/31/15) that were followed by ≥3 in-center hemodialysis sessions within 10 days, among patients treated at 19 Southeastern dialysis facilities. Indicators of processes of care were defined as present vs. absent in the dialysis facility EMR. Readmissions were defined as admissions within 30 days of the index discharge; pulmonary edema-related vs. other readmissions defined by discharge codes for pulmonary edema, fluid overload, and/or congestive heart failure. Multinomial logistic regression to estimate odds ratios (ORs) for pulmonary edema-related and other vs. no readmissions. RESULTS: Overall, 17.7% of patients were readmitted, and 8.0% had pulmonary edema-related readmissions (44.9% of all readmissions). Documentation of the index admission (OR = 2.03, 95% CI 1.07-3.85), congestive heart failure (OR = 1.87, 95% CI 1.07-3.27), and home medications stopped (OR = 1.81, 95% CI 1.08-3.05) or changed (OR = 1.69, 95% CI 1.06-2.70) in the EMR post-hospitalization were all associated with higher risk of pulmonary edema-related vs. no readmission; lower post-dialysis weight (by ≥0.5 kg) after vs. before hospitalization was associated with 40% lower risk (OR = 0.60, 95% CI 0.37-0.96). CONCLUSIONS: Our results suggest that some interventions performed at the dialysis facility in the post-hospitalization period may be associated with reduced readmission risk, while others may provide a potential existing means of identifying patients at higher risk for readmissions, to whom such interventions could be efficiently targeted.

Burden and correlates of readmissions related to pulmonary edema in US hemodialysis patients: a cohort study.

Background: Pulmonary edema is prevalent and may be a common cause of hospital readmissions in hemodialysis patients. We aimed to estimate the national burden of, and identify correlates of, readmissions related to pulmonary edema among hemodialysis patients. Methods: In this retrospective cohort study using national registry data, we identified prevalent US hemodialysis patients (n = 215 251) with index admissions while under Medicare primary coverage in 2011-13. We defined readmissions as admissions occurring within 30 days of the index discharge and pulmonary edema-related readmissions as readmissions with discharge diagnoses of fluid overload, heart failure or pulmonary edema. Multivariable logistic regression models were used to determine odds ratios (ORs) for pulmonary edema-related readmissions by patient and index admission characteristics. Results: About one-quarter (23%) of index hospital admissions were followed by a readmission, with nearly half (44%) of the readmissions being associated with pulmonary edema. The strongest independent correlate of pulmonary edema-related readmission was a pulmonary edema-related index admission [OR = 2.32; 95% confidence interval (CI) 2.22-2.41]. With the exception of dialysis vintage <1 year (OR = 1.18; 95% CI 1.14-1.22), chronic obstructive pulmonary disease (OR = 1.34; 95% CI 1.29-1.38), dialysis non-compliance (OR = 1.53; 95% CI 1.41-1.64) and congestive heart failure (OR = 1.85; 95% CI 1.77-1.93), patient characteristics were not generally associated with higher risk of pulmonary edema-related readmission. Conclusions: Readmissions related to pulmonary edema are common in hemodialysis patients. Interventions aimed at preventing such readmissions could have a substantial impact on readmissions overall, particularly targeted at incident hemodialysis patients with a prior history of heart failure and patients initially admitted for pulmonary edema.

Systemic Levamisole-Induced Vasculitis in a Cocaine User without Cutaneous Findings: A Consideration in Diagnosis.

Levamisole is a known immunomodulating agent frequently used as a cutting agent in cocaine consumed in the United States today. Numerous cases of anti-neutrophil cytoplasmic antibody (ANCA) vasculitis connected with the use of levamisole-adulterated cocaine have previously been reported in the literature, classically characterized by a retiform purpuric rash. We report a case of a crack-cocaine user without cutaneous abnormalities who developed ANCA-associated glomerulonephritis that progressed to renal failure. This case demonstrates the difficulties in solidifying the diagnosis of levamisole-induced vasculitis in the absence of cutaneous findings and the need to pursue more testing to establish causality in ANCA-associated vasculitis that has potential for severe end-organ damage in patients who continue to use cocaine.

The precision of estimating protein intake of patients with chronic renal failure.

BACKGROUND: Biochemical methods for estimating protein intake are based on the concept that nitrogen-containing products of protein in diet plus the products arising from endogenous protein are excreted as either urea or non-urea nitrogen (NUN). This formulation is based on the fact that the urea is the principal end product of amino acid degradation and, hence, the urea appearance rate (or net urea production) is parallel to protein intake. The urea nitrogen appearance (UNA) rate is measured as the amount of urea excreted in urine plus the net amount accumulated in body water. A more difficult problem is how to estimate NUN, the sum of fecal nitrogen, and all forms of non-urea urinary nitrogen. Maroni, Steinman, and Mitch (Kidney Int 27:58-65, 1985) proposed estimating nitrogen intake (IN MARONI) from UNA plus NUN excretion rate of 0.031 g nitrogen/kg body weight/day, as they found NUN correlated with body weight but not with dietary nitrogen. Kopple, Gao, and Qing (Kidney Int 27:486-494, 1997) proposed a different equation for estimating nitrogen intake (IN KOPPLE) = 1.20 UNA + 1.74, concluding that dietary nitrogen directly correlates with fecal nitrogen and that NUN is constant for all patients. Their report prompted us to review all nitrogen balance measurements we had conducted in order to address the following questions. Does dietary protein increase fecal nitrogen excretion? Does NUN vary with weight or is it constant? How do the two methods (IN MARONI and IN KOPPLE) compare in estimating dietary protein from UNA? METHODS: We examined nitrogen balance and its components measured in 33 patients with chronic renal failure (CRF) who were eating diets varying from 4.1 to 10.1 g nitrogen/day. We evaluated relationships between dietary nitrogen [intake nitrogen (IN)], NUN, fecal nitrogen, body weight, and the predictability of the two methods. RESULTS: Neither fecal nitrogen nor NUN were significantly correlated with IN (r = 0.04 and r = -0.07, respectively). NUN significantly correlated with body weight (P = 0.008). Measured IN averaged 5.75 +/- 0.41 g nitrogen/day; the estimated IN MARONI value was 5.61 +/- 0.27 g nitrogen/day; the estimated IN KOPPLE was 6.04 +/- 0.44 g nitrogen/day. The prediction errors associated with the IN KOPPLE equation were slightly but not statistically higher than that associated with IN MARONI. CONCLUSION: Fecal nitrogen is not correlated with IN. NUN is not constant but varies with weight, and the traditional method of estimating IN in stable chronic renal insufficiency (CRI) patients from UNA and weight as proposed by Maroni, Steinman, and Mitch is valid.