Peritoneal Dialysis in Italy: the 8th GPDP-SIN Census 2022 - 2nd Part: the Centers.

Objectives. The results are presented of the 8th National Census (Cs-22) of the Peritoneal Dialysis Project Group of the Italian Society of Nephrology relating to the characteristics of the Centers in Italy which used PD in 2022. Materials and methods. The 227 non-pediatric centers which used Peritoneal Dialysis (PD) in 2022 took part. The data requested were sent in aggregate form. For the first time, the resources available and training were investigated as well as home visits. The Centers have been divided into Quartiles according to the number of prevalent PD patients at 31/12/2022. Results. Centers with a smaller PD program (<9 pts) are characterized by 1. smaller overall size - 2. fewer personnel (doctors/nurses) dedicated to PD - 3. greater recourse to external personnel for training - 4. Less incremental prescription and evaluation of peritoneal permeability - 5. higher drop-out to HD in particular for choice/impossibility to continue and for adequacy/catheter-related issues. A lower peritonitis rate was recorded in Centers with a more extensive PD program (≥25 pts). Home visits are carried out regularly by a small minority of Centers. Conclusions. The analysis shows an association between size of Center PD program and available resources, PD modality and outcome.

Rate and reasons for peritoneal dialysis dropout following haemodialysis to peritoneal dialysis switch: a systematic review and meta-analysis.

BACKGROUND: Patient experiences and survival outcomes can be influenced by the circumstances related to dialysis initiation and subsequent modality choices. This systematic review and meta-analysis aimed to explore the rate and reasons for peritoneal dialysis (PD) dropout following haemodialysis (HD) to PD switch. METHOD: This systematic review conducted searches in four databases, including Medline, PubMed, Embase, and Cochrane. The protocol was registered on PROSPERO (study ID: CRD42023405718). Outcomes included factors leading to the switch from HD to PD, the rate and reasons for PD dropout and mortality difference in two groups (PD first group versus HD to PD group). The Critical Appraisal Skills Programme (CASP) checklist and the GRADE tool were used to assess quality. RESULTS: 4971 papers were detected, and 13 studies were included. On meta-analysis, there was no statistically significant difference in PD dropout in the PD first group (OR: 0.81; 95%CI: 0.61, 1.09; I2 = 83%; P = 0.16), however, there was a statistically significant reduction in the rate of mortality (OR: 0.48; 95%CI: 0.25, 0.92; I2 = 73%; P = 0.03) compared to the HD to PD group. The primary reasons for HD to PD switch, included vascular access failure, patient preference, social issues, and cardiovascular disease. Causes for PD dropout differed between the two groups, but inadequate dialysis and peritonitis were the main reasons for PD dropout in both groups. CONCLUSION: Compared to the PD first group, a previous HD history may not impact PD dropout rates for patients, but it could impact mortality in the HD to PD group. The reasons for PD dropout differed between the two groups, with no statistical differences. Psychosocial reasons for PD dropout are valuable to further research. Additionally, establishing a consensus on the definition of PD dropout is crucial for future studies.

Development and validation of prediction model for technique failure in peritoneal dialysis patients: An observational study.

AIM: This study aimed to establish a prediction model in peritoneal dialysis patients to estimate the risk of technique failure and guide clinical practice. METHODS: Clinical and laboratory data of 424 adult peritoneal dialysis patients were retrospectively collected. The risk prediction models were built using univariate Cox regression, best subsets approach and LASSO Cox regression. Final nomogram was constructed based on the best model selected by the area under the curve. RESULTS: After comparing three models, the nomogram was built using the LASSO Cox regression model. This model included variables consisting of hypertension and peritonitis, serum creatinine, low-density lipoprotein, fibrinogen and thrombin time, and low red blood cell count, serum albumin, triglyceride and prothrombin activity. The predictive model constructed performed well using receiver operating characteristic curve and area under the curve value, C-index and calibration curve. CONCLUSION: This study developed and verified a new prediction instrument for the risk of technique failure among peritoneal dialysis patients.

Predicting transfer to haemodialysis using the peritoneal dialysis surprise question.

BACKGROUND: People on peritoneal dialysis (PD) at risk of transfer to haemodialysis (HD) need support to remain on PD or ensure a safe transition to HD. Simple point-of-care risk stratification tools are needed to direct limited dialysis centre resources. In this study, we evaluated the utility of collecting clinicians' identification of patients at high risk of transfer to HD using a single point of care question. METHODS: In this prospective observational study, we included 1275 patients undergoing PD in 35 home dialysis programmes. We modified the palliative care 'surprise question' (SQ) by asking the registered nurse and treating nephrologist: 'Would you be surprised if this patient transferred to HD in the next six months?' A 'yes' or 'no' answer indicated low and high risk, respectively. We subsequently followed patient outcomes for 6 months. Cox regression model estimated the hazard ratio (HR) of transfer to HD. RESULTS: Patients' mean age was 59 ± 16 years, 41% were female and the median PD vintage was 20 months (interquartile range: 9-40). Responses were received from nurses for 1123 patients, indicating 169 (15%) as high risk and 954 (85%) as low risk. Over the next 6 months, transfer to HD occurred in 18 (11%) versus 29 (3%) of the high and low-risk groups, respectively (HR: 3.92, 95% confidence interval (CI): 2.17-7.05). Nephrologist responses were obtained for 692 patients, with 118 (17%) and 574 (83%) identified as high and low risk, respectively. Transfer to HD was observed in 14 (12%) of the high-risk group and 14 (2%) of the low-risk group (HR: 5.56, 95% CI: 2.65-11.67). Patients in the high-risk group experienced higher rates of death and hospitalisation than low-risk patients, with peritonitis events being similar between the two groups. CONCLUSIONS: The PDSQ is a simple point of care tool that can help identify patients at high risk of transfer to HD and other poor clinical outcomes.

Clinical risk factors for peritoneal dialysis withdrawal at different dialysis duration.

BACKGROUND: The duration of patients maintained on peritoneal dialysis (PD) varied. This study investigated the clinical risk factors for PD withdrawal at different dialysis duration. METHODS: Patients who initiated PD from 1994 to 2011 were recruited and followed for at least 10 years until 2021. Patients were grouped into four groups according to dialysis duration or time on treatment (TOT) when withdrew PD. RESULTS: A cohort of 586 patients were enrolled (mean age of 54.9 years, median dialysis duration or TOT of 47.9 months). Patients who maintained PD for longer than 10 years were younger, with lower prevalence of diabetes, lower serum C-reactive protein (CRP) level and white blood cell (WBC) count, higher serum albumin and pre-albumin level, higher normalized protein catabolic rate (nPCR) and residual kidney function, and more common use of renin-angiotensin system inhibitors (RASi) at baseline (p < 0.05 for all). Peritonitis related death and ultrafiltration failure related HD transferring increased along with time on PD (p < 0.001). Old age, diabetes, low serum albumin, high WBC count, hypertensive nephropathy, and nonuse of RASi were associated with increased risk of non-transplantation related PD withdrawal (p < 0.05 for all). Low baseline CRP and use of RASi were independent predictors for long-term PD maintenance (p < 0.05 for all). CONCLUSIONS: Long-term PD patients demonstrated young age, low prevalence of diabetes, better nutrition status, absence of inflammation, better residual kidney function, and higher proportion of RASi usage at baseline. Absence of inflammation and use of RASi were independently associated with long-term PD maintenance.

Home hemodialysis technique survival: insights and challenges.

Home hemodialysis (HHD) offers several clinical, quality of life and cost-saving benefits for patients with end-stage kidney disease. While uptake of this modality has increased in recent years, its prevalence remains low and high rates of discontinuation remain a challenge. This comprehensive narrative review aims to better understand what is currently known about technique survival in HHD patients, elucidate the clinical factors that contribute to attrition and expand on possible strategies to prevent discontinuation. With increasing efforts to encourage home modalities, it is imperative to better understand technique survival and find strategies to help maintain patients on the home therapy of their choosing. It is crucial to better target high-risk patients, examine ideal training practices and identify practices that are potentially modifiable to improve technique survival.

Peritoneal Dialysis in Italy: the 8th GPDP-SIN census 2022

Objectives. The results are reported here of the 8th National Census (Cs-22) of Peritoneal Dialysis in Italy, carried out in 2022-23 by the Italian Society of Nephrology's Peritoneal Dialysis Project Group and relating to 2022. Methods. The Census was conducted in the 227 non pediatric centers which performed Peritoneal Dialysis (PD) in 2022. The results have been compared with the previous Censuses carried out since 2005. Results. Incidence: in 2022, 1350 patients (CAPD=52.1%) started on PD (1st treatment for ESRD). PD was started incrementally by 35.3% in 136 Centers. The catheter was placed exclusively by a Nephrologist in 17.0% of known cases. Prevalence: there were 4152 (CAPD=43.4%) patients on PD on 31/12/2022, with 21.1% of prevalent patients on assisted PD (family member caregiver: 86.3%). Out: in 2022 the PD drop-out rate (ep/100 pt-yrs) was: 11.7 to HD; 10.1 death, down; 7.5 Tx. The main cause of transfer to HD remains peritonitis (23.5%), although its reduction over the years is confirmed (Cs-05: 37.9%). Peritonitis/EPS: the incidence of peritonitis in 2022 was 0.176 ep/pt-yr (696 episodes). The incidence of new cases of EPS fell in 2021-22 (7 cases). Other results: the number of Centers using 3.86% for the peritoneal equilibration test (PET) (57.7%) increased. PD for heart failure continues to be used in 44 Centers (66 pts). Conclusions. Cs-22 confirms PD's good results in Italy.

Technique failure in peritoneal dialysis-related peritonitis: risk factors and patient survival.

OBJECTIVE: This study aimed to investigate the association between patient clinical characteristics and technique failure in peritoneal dialysis-related peritonitis (PDRP). The effect of peritonitis-associated technique failure on patient survival was also assessed. METHODS: Patients diagnosed with PDRP from January 1, 2010 to June 30, 2022 were retrospectively reviewed and analyzed. Relevant demographic, biochemical, and clinical data were collected. Univariate and multivariate logistic regression analyses were used to determine the predictors of peritonitis-associated technique failure in PD. Patients were divided into technique failure (F group) and nontechnique failure (NF group) groups. Patients were followed until death or until the date of Oct 1, 2022. Kaplan-Meier survival curves and landmark analysis were used to assess the survival of the PDRP cohort. Cox regression models were used to assess the association between potential risk factors and mortality. RESULTS: A total of 376 patients with 648 cases of PDRP were included in this study. Multivariate logistic regression analysis demonstrated that peritoneal dialysis (PD) duration (OR = 1.12 [1.03, 1.21], p = 0.005), dialysate WBC count on Day 3 after antibiotic therapy (OR = 1.41 [1.22, 1.64], p = 0.001), blood neutrophil-to-lymphocyte ratio (NLR) (OR = 1.83 [1.25, 2.70], p = 0.002), and serum lactate dehydrogenase (LDH) (OR = 4.13 [1.69, 10.11], p = 0.002) were independent predictors for technique failure in PDRP. Furthermore, serum high-density lipoprotein (HDL) (OR = 0.28 [0.13, 0.64], p = 0.002) was a protective factor against technique failure. According to the Kaplan-Meier analysis, patients experiencing peritonitis-associated technique failure had lower postperitonitis survival (log-rank = 4.326, p = 0.038). According to the landmark analysis, patients with a history of peritonitis-associated technical failures had a higher 8-year mortality after peritoneal dialysis. A Cox model adjusted for plausible predetermined confounders showed that technique failure was independently associated with all-cause mortality. CONCLUSIONS: Dialysate WBC count on Day 3, PD duration, NLR, and LDH were independent risk factors for technique failure, whereas HDL was a protective factor. Peritonitis-associated technique failure had a higher risk of mortality and adverse effects on postperitonitis survival.

Association between gut microbial diversity and technique failure in peritoneal dialysis patients.

BACKGROUND: Gut dysbiosis in peritoneal dialysis (PD) patients causes chronic inflammation and metabolic disorders which result in a series of complications, probably playing an important role in PD technique failure. The reduction in gut microbial diversity was a common feature of gut dysbiosis. The objective was to explore the relationship between gut microbial diversity and technique failure in PD patients. METHODS: The gut microbiota was analyzed by 16s ribosomal RNA gene amplicon sequencing. Cox proportional hazards models were used to identify association between gut microbial diversity and technique failure in PD patients. RESULTS: In this study, a total of 101 PD patients were enrolled. During a median follow-up of 38 months, we found that lower diversity was independently associated with a higher risk of technique failure (hazard ratio [HR], 2.682; 95% confidence interval [CI], 1.319-5.456; p = 0.006). In addition, older age (HR, 1.034; 95% CI, 1.005-1.063; p = 0.020) and the history of diabetes (HR, 5.547; 95% CI, 2.218-13.876; p < 0.001) were also independent predictors for technique failure of PD patients. The prediction model constructed on the basis of three independent risk factors above performed well in predicting technique failure at 36 and 48 months (36 months: area under the curve [AUC] = 0.861; 95% CI, 0.836-0.886; 48 months: AUC = 0.815; 95% CI, 0.774-0.857). CONCLUSION: Gut microbial diversity was independently correlated with technique failure in PD patients, and some specific microbial taxa may serve as a potential therapeutic target for decreasing PD technique failure.

Mesenteric elasticity assessed by shear wave elastography and its relationship with peritoneal function in peritoneal dialysis patients.

Background: We evaluated the mesenteric elasticity in patients undergoing continuous ambulatory peritoneal dialysis (CAPD) using shear wave elastography (SWE) and investigated its relationships with peritoneal function. Methods: Patients were recruited in our peritoneal dialysis (PD) centre between 15 July 2019 and 31 December 2021 and followed up to 31 March 2022. Twelve chronic kidney disease (CKD) patients and nineteen healthy people were included as controls. Correlation, linear regression and Cox regression analyses were applied. Results: Of the 218 PD patients, 104 (47.8%) were male. Their mean age was 48.0 ± 13.2 years and the median PD duration was 59.0 months [interquartile range (IQR) 17.0-105]. The median mesenteric SWE value was 8.15 kPa (IQR 5.20-16.1). The mesenteric SWE values of patients with a PD duration of <3 months [5.20 kPa (IQR 3.10-7.60)] were not significantly different from those of CKD patients [4.35 kPa (IQR 2.63-5.20), P = .17] and healthy controls [3.60 kPa (IQR 2.90-5.10), P = .13] but were lower than those of patients with a PD duration of 3 months-5 years [6.40 kPa (IQR 4.10-10.5), P < .001], 5-10 years [11.9 kPa (IQR 7.40-18.2), P < .001] and >10 years [19.3 kPa (IQR 11.7-27.3), P < .001]. Longer PD duration (ß = 0.58, P < .001), high effluent interleukin-6 (ß = 0.61, P = .001) and low effluent cancer antigen 125 (ß = -0.34, P = .03) were independently associated with low mesenteric elasticity. The mesenteric SWE value was independently correlated with the dialysate:plasma creatinine ratio (ß = 0.39, P = .01) and negatively correlated with the total daily fluid volume removed (ß = -0.17, P = .03). High mesenteric SWE values were an independent risk factor for death-censored technique failure [adjusted hazard ratio 4.14 (95% confidence interval 1.25-13.7), P = .02). Conclusions: SWE could be used to non-invasively characterize peritoneal textural changes, which were closely associated with changes in peritoneal function.

Technique failure in peritoneal dialysis: Modifiable causes and patient-specific risk factors.

BACKGROUND: Technique survival is a core outcome for peritoneal dialysis (PD), according to Standardized Outcomes in Nephrology-Peritoneal Dialysis. This study aimed to identify modifiable causes and risk factors of technique failure in a large Dutch cohort using standardised definitions. METHODS: Patients who participated in the retrospective Dutch nOcturnal and hoME dialysis Study To Improve Clinical Outcomes cohort study and started PD between 2012 and 2016 were included and followed until 1 January 2017. The primary outcome was technique failure, defined as transfer to in-centre haemodialysis for ≥ 30 days or death. Death-censored technique failure was analysed as secondary outcome. Cox regression models and competing risk models were used to assess the association between potential risk factors and technique failure. RESULTS: A total of 695 patients were included, of whom 318 experienced technique failure during follow-up. Technique failure rate in the first year was 29%, while the death-censored technique failure rate was 23%. Infections were the most common modifiable cause for technique failure, accounting for 20% of all causes during the entire follow-up. Leakage and catheter problems were important causes within the first 6 months of PD treatment (both accounting for 15%). APD use was associated with a lower risk of technique failure (hazard ratio 0.66, 95% confidence interval 0.53-0.83). CONCLUSION: Infections, leakage and catheter problems were important modifiable causes for technique failure. As the first-year death-censored technique failure rate remains high, future studies should focus on infection prevention and catheter access to improve technique survival.

Time-dependent incidence rates and risk factors for transferring to hemodialysis in patients on peritoneal dialysis under the Thai PD-First Policy.

BACKGROUND: Haemodialysis (HD) transfer (HDT) is the major challenge of peritoneal dialysis (PD). This study aimed to analyse the time-dependent incidence rates and risk factors for permanent HDT in patients under Thailand's PD First policy. METHODS: The records of 20,545 patients from January 2008 to June 2018 were studied. The time on therapy (TOT) was divided into 0-3, 3-12, 12-24, 24-36, 36-48 and more than 48 months. The time-dependent incidence rates and causes of PD dropout were investigated. The risk factors for HDT were analysed by multivariable Poisson regression model and presented as incidence rate ratios (IRRs) and 95% confidence intervals (CIs). RESULTS: The main cause of PD dropout was death (45.7%) with 17.4% of the patients transferred to HD. The median (25th to 75th interquartile range) dialysis vintage was 1.4 (0.5-2.7) years. The incidence rates of HDT increased with TOT. Patients with universal coverage were transferred to HD less frequently than those with other health schemes. Patients who were illiterate or only had primary school education had a higher risk of being transferred to HD after 48 months of TOT (IRR 1.41 (95% CI 1.07-1.89)). Peritonitis within the first year of PD was the risk for HDT during 13-48 months of PD. The reasons for HDT changed with TOT. Mechanical complications followed by peritonitis were the main causes of HDT during the first 3 months, and after that peritonitis was the main reason. CONCLUSIONS: The incidence of HDT increased with TOT. The risks for HDT changed over time on PD.

Random forest can accurately predict the technique failure of peritoneal dialysis associated peritonitis patients.

Instructions: Peritoneal dialysis associated peritonitis (PDAP) is a major cause of technique failure in peritoneal dialysis (PD) patients. The purpose of this study is to construct risk prediction models by multiple machine learning (ML) algorithms and select the best one to predict technique failure in PDAP patients accurately. Methods: This retrospective cohort study included maintenance PD patients in our center from January 1, 2010 to December 31, 2021. The risk prediction models for technique failure were constructed based on five ML algorithms: random forest (RF), the least absolute shrinkage and selection operator (LASSO), decision tree, k nearest neighbor (KNN), and logistic regression (LR). The internal validation was conducted in the test cohort. Results: Five hundred and eight episodes of peritonitis were included in this study. The technique failure accounted for 26.38%, and the mortality rate was 4.53%. There were resignificant statistical differences between technique failure group and technique survival group in multiple baseline characteristics. The RF prediction model is the best able to predict the technique failure in PDAP patients, with the accuracy of 93.70% and area under curve (AUC) of 0.916. The sensitivity and specificity of this model was 96.67 and 86.49%, respectively. Conclusion: RF prediction model could accurately predict the technique failure of PDAP patients, which demonstrated excellent predictive performance and may assist in clinical decision making.

Hidden Costs Associated with Conversion from Peritoneal Dialysis to Hemodialysis.

Background: Increasing use of peritoneal dialysis (PD) will likely lead to increasing numbers of patients transitioning from PD to hemodialysis (HD). We describe the characteristics of patients who discontinued PD and converted to HD, trajectories of acute-care encounter rates and the total cost of care both before and after PD discontinuation, and the incidence of modality-related outcomes after PD discontinuation. Methods: We analyzed data in the United States Renal Data System to identify patients aged ≥12 years who were newly diagnosed with ESKD in 2001-2017, initiated PD during the first year of ESKD, and discontinued PD in 2009-2018. We estimated monthly rates of hospital admissions, observation stays, emergency department encounters, and Medicare Parts A and B costs during the 12 months before and after conversion from PD to HD, and the incidence of home HD initiation, death, and kidney transplantation after conversion to in-facility HD. Results: Among 232,699 patients who initiated PD, there were 124,213 patients who discontinued PD. Among them, 68,743 (55%) converted to HD. In this subgroup, monthly rates of acute-care encounters and total costs of care to Medicare sharply increased during the 6 months preceding PD discontinuation, peaking at 96.2 acute-care encounters per 100 patient-months and $20,701 per patient in the last month of PD. After conversion, rates decreased, but remained higher than before conversion. Among patients who converted to in-facility HD, the cumulative incidence of home HD initiation, death, and kidney transplantation at 24 months was 3%, 25%, and 7%, respectively. Conclusions: The transition from PD to HD is characterized by high rates of acute-care encounters and health-care expenditures. Quality improvement efforts should be aimed at improving transitions and encouraging both home HD and kidney transplantation after PD discontinuation.

[Peritoneal Dialysis in Italy: the 7th GSDP-SIN census 2019].

Objectives: Analysis of the results of the 7th National Census (Cs-19) of Peritoneal Dialysis in Italy, conducted in 2020-21 by the Peritoneal Dialysis Project Group of the Italian Society of Nephrology, for the year 2019. Materials and methods: The data was initially collected using specially designed software, which after entering the data of individual patients allows the aggregate extraction of the necessary information. The difficulties due to the COVID pandemic made it necessary to also use the traditional on-line questionnaire used previously. Of the 237 Centers envisaged, 198 responded, of which 177 with complete data for HD also in 2016. Results: Overall incidence and prevalence (31/12/2019) were respectively 1,363 (CAPD/APD = 741/622) and 3,922 (CAPD/APD = 1,857 / 2,065) patients. The percentage incidence and prevalence (177 Centers) decreased compared to 2016, respectively, from 23.8% to 22.1% and from 17.3% to 16.6%. 31.4% started PD incrementally in 60.3% of the Centers. The catheter is placed by the Nephrologist alone in 19.7%. Assisted PD is used by 24.5% of the prevalent patients, mostly (83.8%) by a family member. In 2019, the exit from PD (ep/100 years-pts: 11.6 in HD; 8.9 death; 6.0 Tx) is decreasing for all causes. The main cause of transfer to HD remains peritonitis (26.8%). The incidence of peritonitis in 2019 dropped further to 0.190 ep/year-pts as well as the incidence of new cases of EPS (0.103 ep/100 years-pts). Conclusions: The Cs-19 confirms the good results of the DP in Italy.

Outcome Analysis of Transition From Peritoneal Dialysis to Hemodialysis: A Population-Based Study.

If a technical failure occurs during peritoneal dialysis (PD), the patients undergoing PD may be transitioned to hemodialysis (HD). However, the clinical outcomes of patients who have undergone such a transition are under studied. This study assessed whether patients undergoing HD who have transitioned from PD have the same clinical outcomes as HD-only patients. This research was a retrospective cohort study by searching a National Health Insurance research database for data on patients in Taiwan who had undergone HD between January 2006 and December 2013. The patients were divided into two groups, namely a case group in which the patients were transitioned from PD to HD and a HD-only control group, through propensity score matching at a ratio of 1:4 (n = 1,100 vs. 4,400, respectively). We used the Cox regression model to estimate the hazard ratios (HRs) for all-cause death, all-cause hospitalization, infection-related admission, and major adverse cardiac events (MACE). Those selected patients will be followed until death or the end of the study period (December, 2017), whichever occurs first. Over a mean follow-up of 3.2 years, 1,695 patients (30.8%) died, 3,825 (69.5%) required hospitalization, and 1,142 (20.8%) experienced MACE. Patients transitioning from PD had a higher risk of all-cause death (HR: 1.36; 95% CI: 1.21-1.53) than HD-only patients. However, no significant difference was noted in terms of MACE (HR: 0.91; 95% CI: 0.73-1.12), all-cause hospitalization (HR: 1.07; 95% CI: 0.96-1.18), or infection-related admission (HR: 0.97, 95% CI: 0.80-1.18) between groups. Because of the violation of the proportional hazard assumption, the piecewise-HRs showed that the risk of mortality in the case group was significant within 5 months of the transition (HR: 2.61; 95% CI: 2.04-3.35) not in other partitions of the time axis. In conclusion, patients undergoing HD who transitioned from PD had a higher risk of death than the HD-only patients, especially in the first 5 months after transition (a 161% higher risk). Therefore, more caution and monitoring may be required for patients undergoing HD who transitioned from PD.

From Home Dialysis Access to Home Dialysis Quality.

The number and percentage of patients dialyzing at home has steadily increased during the past decade, and federal policy initiatives have driven interest to a new high. However, the mere utilization of home dialysis does not ensure better outcomes for patients and care partners. Although public reporting systems for dialysis quality are mature and robust, the incorporation of home dialysis quality in those systems is immature; the advent of the End-Stage Renal Disease Treatment Choices payment model brings this problem into sharp relief. The home dialysis modalities present both common and unique targets for quality measurement. For both modalities, therapy duration (or its inverse, technique failure) is a potential target. For peritoneal dialysis, peritonitis, catheter complications, and residual kidney function are additional targets; for home hemodialysis, vascular access infections, dialysis adequacy, and treatment adherence are targets. Patient-reported experience measures are also important; this domain is a long-standing disparity, as in-facility hemodialysis patients have been routinely surveyed for several years. The statistical aspect of quality measurement in home dialysis requires some adaptation, as the typical home dialysis program is small, thus presenting a threat to reliability; pooling programs may be necessary. Ultimately, promoting high-quality home dialysis will likely increase utilization of home dialysis.

Incidence and Risk Factors Associated with Technique Failure in the First Year of Peritoneal Dialysis: A Single Center Retrospective Cohort Study in Southern China.

BACKGROUND: Technique failure is more likely to occur during the first 12 months after peritoneal dialysis (PD) initiation, which is a great challenge encountered in PD patients. The aim of this study was to investigate the incidence and risk factors associated with technique failure within the first year of PD patients in Southern China. METHODS: Incident PD patients who were followed up for at least one year at The First Affiliated Hospital of Sun Yat-sen University from January 1, 2006 to December 31, 2015 were included. Technique failure was defined as transferring to hemodialysis (HD) for more than 30 days or death within the first year after start of PD. A competitive risk regression analysis was used to explore the incidence and risk factors of the technique failure. RESULTS: Overall, 2,290 incident PD patients were included in this study, with a mean age of 48.2 ± 15.7 years, 40.9% female and 25.2% with diabetes. A total of 173 patients (7.5%) had technique failure during the first year of PD. Among them, the patient death account for 62.4% (n = 108) and transferring to HD account for 37.6% (n = 65). The main reasons for death were cardiovascular diseases (n = 32, 29.6%), infection (n = 15, 13.8%) and for conversion to HD were mechanical cause (n = 28, 43.1%), infection cause (n = 22, 33.8%). The risk factors for the technique failure included advanced age (HR 2.78, 95%CI 1.82-4.30), low body mass index (BMI < 18.5 kg/m2: HR 1.77, 95%CI 1.17-2.67), history of congestive heart failure (HR 2.81, 95%CI 1.58-4.98), or time on HD before PD ≤ 3 months (HR 1.49, 95%CI 1.05-2.10), peritonitis (HR 2.02, 95%CI 1.36-3.01);while higher serum albumin (HR 0.93, 95%CI 0.89-0.96) and using employee medical insurance to pay expenses (HR 0.47, 95%CI 0.32-0.69) were associated with reduced risk. CONCLUSIONS: Advanced age, poor nutritional status, history of HD or congestive heart failure, and peritonitis are related factors that increase the risk of technique failure in the first year of PD, while patients' type of medical insurance may also have an influence on early technique failure.

Mortality Trends After Transfer From Peritoneal Dialysis to Hemodialysis.

Introduction: Transition to hemodialysis (HD) is a common outcome in peritoneal dialysis (PD), but the associated mortality risk is poorly understood. This study sought to identify rates of and risk factors for mortality after transitioning from PD to HD. Methods: Patients with incident PD (between 2000 and 2014) who transferred to HD for ≥1 day were identified, using data from Australia and New Zealand Dialysis and Transplantation registry (ANZDATA), Canadian Organ Replacement Register (CORR), Europe Renal Association (ERA) Registry, and the United States Renal Dialysis System (USRDS). Crude mortality rates were calculated for the first 180 days after transfer. Separate multivariable Cox models were built for early (<90 days), medium (90-180 days), and late (>180 days) periods after transfer. Results: Overall, 6683, 5847, 21,574, and 80,459 patients were included from ANZDATA, CORR, ERA Registry, and USRDS, respectively. In all registries, crude mortality rate was highest during the first 30 days after a transfer to HD declining thereafter to nadir at 4 to 6 months. Crude mortality rates were lower for patients transferring in the most recent years (than earlier). Older age, PD initiation in earlier cohorts, and longer PD vintage were associated with increased risk of death, with the strongest associations during the first 90 days after transfer and attenuating thereafter. Mortality risk was lower for men than women <90 days after transfer, but higher after 180 days. Conclusion: In this multinational study, mortality was highest in the first month after a transfer from PD to HD and risk factors varied by time period after transfer. This study highlights the vulnerability of patients at the time of modality transfer and the need to improve transitions.