Literature DB >> 34136779

Peritoneal Dialysis Modality Failure in a Middle-Income Country: A Retrospective Cohort Study.

Jasmin I Vesga1, Nelcy Rodriguez2, Rafael M Sanabria3.   

Abstract

RATIONALE &
OBJECTIVE: Technique failure in peritoneal dialysis (PD) remains one of the most critical challenges of this therapy and is associated with a significant increase in costs and morbidity. Our objective was to estimate the frequency of PD technique failure and identify factors associated with technique failure. STUDY
DESIGN: A retrospective multicenter observational cohort study. SETTING & PARTICIPANTS: All adult patients initiating PD between January 1, 2010, and December 31, 2015, with follow-up until December 31, 2018, at the Renal Therapy Services network in Colombia. EXPOSURE & PREDICTORS: PD modality (continuous ambulatory PD and automated PD) and demographic and clinical characteristics. OUTCOMES: Technique failure, defined as a switch to hemodialysis lasting at least 30 days. ANALYTICAL APPROACH: Sociodemographic and clinical characteristics of all patients were summarized descriptively according to modality. We estimated the cumulative incidence of technique failure, and a flexible parametric survival model with competing risks was used to evaluate factors associated with this outcome.
RESULTS: Among 6,452 patients meeting inclusion criteria, 67% were treated with continuous ambulatory PD. The cumulative incidence of technique failure within 1 year of PD initiation adjusting for competing risks was 6.9% (95% CI, 6.3%-7.6%); within 2 years, technique failure was 13.5% (95% CI, 12.6%-14.4%); and within 3 years, 19.6% (95% CI, 18.5%-20.7%). Female sex, larger center size, and higher Kt/V were associated with lower risk for modality change, whereas diabetes, history of major abdominal surgery, catheter implant technique (laparotomy and percutaneous techniques), obesity, and peritonitis were associated with a higher likelihood of technique failure. LIMITATIONS: Variables of distance to the center, use of icodextrin, and measures of outcomes reported by patients were not included.
CONCLUSIONS: Technique failure is relatively uncommon in Colombia; catheter-related problems are the most frequent cause of technique failure. Best practices in catheter insertion could minimize the risk for this outcome.
© 2021 The Authors.

Entities:  

Keywords:  Peritoneal dialysis; competing risks; flexible parametric survival model; hemodialysis; modality; technique failure

Year:  2021        PMID: 34136779      PMCID: PMC8178469          DOI: 10.1016/j.xkme.2020.12.010

Source DB:  PubMed          Journal:  Kidney Med        ISSN: 2590-0595


Technique failure is a key performance indicator of peritoneal dialysis (PD) therapy quality. In our study, we examined the frequency of technique failure in a cohort of incident patients receiving PD, adjusting for the presence of competing risks, including death and kidney transplantation. The presence of diabetes, lower Kt/V, an episode of peritonitis during follow-up, or the catheter implant technique through major abdominal surgery were risk factors for technique failure. These data from a large cohort allow us to identify sensitive points in PD therapy to seek improvements in the quality of care and patients' quality of life. Around 45 years have passed since Popovich et al published their pioneering study of peritoneal dialysis (PD), and PD has evolved into a mature home therapy with continuously improving health outcomes., Despite these improvements, an observed characteristic over the years is that patients using PD experience greater technique failure compared with those treated by hemodialysis., The therapy outcomes have been improved step by step, incorporating developments such as the growth of automated PD, better connectology, new PD solutions, and continuous quality improvements in the processes of care, all of which have contributed to positive trends in the United States., Similar results have been observed in Canada, highlighting that peritonitis associated with PD remains a modifiable cause of technique failure. A limitation with PD is the lack of standardization of several health outcomes, particularly technique failure. To address this, the Peritoneal Dialysis Outcomes and Practice Patterns Study (PDOPPS) and the Australia and New Zealand Dialysis and Transplant Registry (ANZDATA) recently published 2 articles that standardize the definition of technique failure., Additionally, the competing risk for death and transplantation has provided methodologic challenges with understanding technique failure. PD therapy results may vary according to geographies and health systems., In Colombia, a country with 28,417 patients receiving maintenance dialysis, 9,146 (32%) are treated with PD. The Colombian health system ensures access to kidney replacement therapy for 100% of the population, with a monthly reimbursement that is similar for hemodialysis and PD. The Renal Therapy Services (RTS) network in Colombia serves more than 4,000 PD patients across Colombia, representing ∼40% of Colombia’s dialysis population. Although Colombia is considered a middle-income country, its standardized clinical processes and procedures, a nephrologist to dialysis patient ratio of 1:125, a PD nurse to PD patient ratio of 1:50, and a consistent policy of continuous improvement have resulted in its dialysis therapy outcomes being comparable to more economically developed countries. In Colombia, PD patients have the opportunity to access either automated PD or continuous ambulatory PD (CAPD). Automated PD is more frequently offered to patients with fast peritoneal membrane transport, young people at work or who are academically active, and elderly patients who require caregiver support. The objective of the present study is to estimate the frequency of PD technique failure and identify factors that are associated with technique failure using survival analysis with competing risks.

Methods

Study Design and Patients

A retrospective multicenter cohort study of incident patients undergoing PD in Colombia was conducted between January 1, 2010, and December 31, 2015, with follow-up until December 31, 2018, at the RTS network in Colombia. Inclusion criteria were patients older than 18 years with a kidney failure diagnosis who initiated dialysis using PD. Exclusion criteria were current pregnancy and nonkidney indications for dialysis, such as congestive heart failure and liver cirrhosis. Patients used 1 of 2 PD modalities: (1) CAPD using Baxter systems – Twin Bag system, and (2) automated PD using Home Choice with the Ambuflex bag system. The study protocol was approved by the clinical research ethics committee of RTS Colombia (June 13, 2019, Minute, item number 030), which exempted the use of informed consent because this study does not contain identifiable information and is an observational study.

Data Source and Analysis

Baseline Patient Characteristics

Baseline demographic and disease characteristic variables including age, sex, history of diabetes mellitus, history of hypertension, history of cardiovascular disease, history of major abdominal surgery, end-stage kidney disease comorbidity index, obesity, presence of a caregiver, socioeconomic level, school level, center size (determined by the number of incident patients per year >48), peritoneal equilibration test (PET), uncontrolled blood pressure, hemoglobin level, phosphorus level, albumin level, Kt/V, urine output, peritonitis episode, implant technique (percutaneous: placement of catheters by percutaneous puncture with or without image guidance; laparotomy: open surgical insertion performed by surgeon; and mini laparotomy: open small laparotomy performed by nephrologist), location of the catheter, and days at first use. All data were retrospectively collected from patients’ electronic medical records. The main exposure variable was PD modality (automated PD or CAPD).

Study Outcomes

The outcome was technique failure. The definition of technique failure was applied when a patient was switched to hemodialysis for at least 30 days. Competing-risks events were death and kidney transplantation. During follow-up, patients were censored for events of kidney function recovery, withdrawal or suspension of therapy, and change of provider.

Statistical Analysis

We used descriptive statistics to report population characteristics by PD modality using median and interquartile range for non-normal distributed variables. No data imputation procedure was performed because the models were built on patients with complete information. We followed the Royston-Parmar approach to fitting a flexible parametric survival model with competing risks, in which the baseline hazard function is modeled as a restricted cubic spline function of log time., This method allows one to model all the functions of accumulated incidence by specific cause simultaneously, as well as the survival times censored on the right, and the assumption of proportionality is not required. The flexible parametric survival model incorporating competing risk for death and kidney transplantation included the following variables: time to technique failure; PD modality; age; sex; caregiver; center size; history of diabetes mellitus, hypertension, cardiovascular disease, and major abdominal surgery; ESKD comorbidity index; obesity; socioeconomic level; education; PET; uncontrolled blood pressure; hemoglobin, phosphorus, and albumin levels; Kt/V; urine output; peritonitis episode; and catheter implant technique and location and days in place at first use. Backward regression was applied to yield a more parsimonious model. To assess the consistency of the estimates, sensitivity analysis was performed on the number of knots chosen for the spline. The best model was selected considering the Akaike and Bayesian information criteria. The model was constructed using 3 df, locating the knots at the 0, 33, 67, and 100 centiles of the baseline distribution. Multivariable analyses were conducted to assess the effect of demographic, clinical, and laboratory variables on risk for technique failure over time, and peritonitis was assessed as a time-dependent variable. Variables that after univariate regression had probability ≤ 0.2 were included in the multivariable model, as well as those with recognized clinical importance. The backward regression method was applied to have a more parsimonious model. We fitted models varying the number of interior knots from 1 to 6 and inspected the Akaike and Bayesian information criteria to determine the optimal fit. Additionally, we estimated the technique failure cumulative incidence adjusting for competing-risk events, and Pepe and Mori's statistical test was used to compare the equality of the cumulative incidence functions by modality. STATA 14 (StataCorp LLC) was used in statistical analyses.

Results

Patients

A total of 6,452 patients met participation criteria and were included in the analysis (Fig 1). Sociodemographic and clinical characteristics of all patients are summarized descriptively by PD modality in Table 1. Median age was 61 years, 54% were men, 54% had a history of diabetes, and 67% were treated with CAPD.
Figure 1

Flow chart of peritoneal dialysis (PD) patients in the study. Of the 6,673 originally recruited patients (corresponds to the total number of incident adult patients receiving PD at Renal Therapy Services network in Colombia), 221 did not meet the eligibility criteria and 583 patients finished the study without presenting an outcome or censure events.

Table 1

Baseline Characteristics of the Study Population According to Modality

CharacteristicsTotal
CAPD
APD
(N = 6,452)(n = 4,342)(n = 2,110)
Sociodemographics
 Male sex3,505 (54.3%)2,276 (52.4%)1,229 (58.3%)
 Age, y61.0 [50-71]61.0 [50-71]61.0 [50-70]
 Socioeconomic level
 Low2,908 (45.1%)2,076 (47.8%)832 (39.4%)
 Medium2,996 (46.4%)1,851 (42.6%)1,145 (54.3%)
 High448 (7.0%)345 (8.0%)103 (4.9%)
 Data not available100 (1.5%)70 (1.6%)30 (1.4%)
 Education level
 Elementary school or none4,090 (63.4%)2,842 (65.5%)1,248 (59.2%)
 High school2,000 (31.0%)1,312 (30.2%)688 (32.6%)
 University degree362 (5.6%)188 (4.3%)174 (8.3%)
 Caregiver: yes4,358 (67.5%)2,912 (67.1%)1,446 (68.5%)
Kidney Clinic & Peritoneal Catheter
 Center size > 48 patientsa653 (10.1%)406 (9.4%)247 (11.7%)
 Catheter used in first 7 db3,566 (55.3%)2,290 (52.7%)1,276 (60.5%)
 Technique of catheter implant
 Mini laparotomy1,214 (18.8%)870 (20.0%)344 (16.3%)
 Percutaneous1,810 (28.1%)936 (21.6%)874 (41.4%)
 Laparotomy2,787 (43.2%)1,989 (45.8%)798 (37.8%)
 Data not available641 (9.9%)547 (12.6%)94 (4.5%)
 Peritoneal catheter location
 Hemiabdomen left/lateral2,062 (32.0%)1,593 (36.7%)469 (22.2%)
 Hemiabdomen left/down1,064 (16.5%)620 (14.3%)444 (21.0%)
 Hemiabdomen left/up288 (4.5%)231 (5.3%)57 (2.7%)
 Hemiabdomen right/lateral1,465 (22.7%)822 (18.9%)643 (30.5%)
 Hemiabdomen right/down609 (9.4%)331 (7.6%)278 (13.2%)
 Hemiabdomen right/up362 (5.6%)225 (5.2%)137 (6.5%)
 Data not available602 (9.3%)520 (12.0%)82 (3.9%)
Clinical Characteristics
 Diabetes history3,465 (53.7%)2,329 (53.6%)1,136 (53.8%)
 Hypertension history5,500 (85.2%)3,696 (85.1%)1,804 (85.5%)
 Cardiovascular disease history211 (3.3%)136 (3.1%)75 (3.6%)
 ESKD comorbidity index2.0 [0-3]2.0 [0-3]2.0 [0-3]
 Major abdominal surgery history349 (5.4%)227 (5.2%)122 (5.8%)
 Obesityc838 (13.0%)549 (12.7%)289 (13.7%)
 Uncontrolled blood pressured2,784 (43.2%)1,838 (42.3%)946 (44.8%)
 Urine output, >100 mL/d5,601 (86.8%)3,746 (86.3%)1,855 (87.9%)
 PET
 Low1,485 (23.0%)888 (20.5%)597 (28.3%)
 Average3,711 (57.5%)2,585 (59.5%)1,126 (53.4%)
 Fast315 (4.9%)245 (5.6%)70 (3.3%)
 Data not available941 (14.6%)624 (14.4%)317 (15.0%)
 Peritonitis during follow-up1,867 (28.9%)1,291 (29.7%)576 (27.3%)
Laboratory Values
 Kt/Ve2.3 [1.9-2.9]2.3 [1.9-2.9]2.4 [1.9-2.9]
 Hemoglobin, g/dL10.1 [8.9-11.3]10.0 [8.8-11.2]10.2 [8.9-11.5]
 Albumin, g/dL3.6 [3.2-3.9]3.6 [3.2-3.9]3.6 [3.2-4.0]
 Phosphorus; mg/dL4.9 [4.1-6.0]4.9 [4.0-5.9]5.0 [4.1-6.1]

Note: Values expressed as median [interquartile range] or number (percent).

Abbreviations: APD, automated peritoneal dialysis; CAPD, continuous ambulatory peritoneal dialysis; ESKD, end-stage kidney disease; PET, peritoneal equilibration test.

Center size was determined by the number of incident patients per year.

Data not available for 551.

Obesity was determined by body mass index ≥ 30 kg/m2.

Determined by systolic blood pressure > 140 mm Hg and/or diastolic blood pressure > 90 mm Hg.

Data not available for 642.

Flow chart of peritoneal dialysis (PD) patients in the study. Of the 6,673 originally recruited patients (corresponds to the total number of incident adult patients receiving PD at Renal Therapy Services network in Colombia), 221 did not meet the eligibility criteria and 583 patients finished the study without presenting an outcome or censure events. Baseline Characteristics of the Study Population According to Modality Note: Values expressed as median [interquartile range] or number (percent). Abbreviations: APD, automated peritoneal dialysis; CAPD, continuous ambulatory peritoneal dialysis; ESKD, end-stage kidney disease; PET, peritoneal equilibration test. Center size was determined by the number of incident patients per year. Data not available for 551. Obesity was determined by body mass index ≥ 30 kg/m2. Determined by systolic blood pressure > 140 mm Hg and/or diastolic blood pressure > 90 mm Hg. Data not available for 642.

Outcomes

There were 1,462 technique failure events with a rate of 10.6 (95% CI, 10.1-11.2) events/100 patient-years. The cumulative incidence functions of technique failure adjusting for competing risks at the end of the first year were 6.9% (95% CI, 6.3%-7.6%); second year, 13.5% (95% CI, 12.6%-14.4%); and third year, 19.6% (95% CI, 18.5%-20.7%). We compared the cumulative incidence function of CAPD and automated PD and did not observe a statistically significant difference when adjusting for death (P = 0.66) or kidney transplantation (P = 0.72; Fig 2).
Figure 2

Cumulative incidence functions of each outcome (technique failure, death, and renal transplantation) according to modality. Abbreviations: APD, automated peritoneal dialysis; CAPD, continuous ambulatory peritoneal dialysis.

Cumulative incidence functions of each outcome (technique failure, death, and renal transplantation) according to modality. Abbreviations: APD, automated peritoneal dialysis; CAPD, continuous ambulatory peritoneal dialysis. Regarding the hazard function, we observed an instantaneous potential for technique failure that increased in the first 40 days followed by a slight decrease until 1 year and a further downward trend thereafter (Fig 3). The most common reasons for technique failure were catheter complications (catheter obstruction due to fibrin, omentum, adhesions, or catheter out of place), peritonitis, and psychosocial/medical indications (Table 2).
Figure 3

Technique failure hazard function. The smoothed hazard estimates show that there is some increased risk in the first 40 days, which attenuates after the early failures have occurred.Outcome and censure events, 5869 (90.96) n (%) Technique failure events, 1462 (22.66) Competing risks events, 2406 (37.29)- Death, 1955 (30.30) -Transplant, 451 (6.99) Censure events, 2001 (31.01) - Kidney function recovery, 262 (4.06) - Therapy withdrawal/suspension, 449 (6.96) - Change of provider , 1290 (19.99)End of study, n (%) 583 patients (9.04) 6452 eligible patients 6673 patients 221 patients did not meet eligibility criteria

Table 2

Reasons for PD Technique Failure

Reasons for Technique Failure0-90 d91 d-1 y>1-2 y>2-3 y>3-8 yTotal
Catheter-related problems56 (42.4%)96 (34.5%)89 (26.8%)84 (30.7%)74 (16.6%)399 (27.3%)
Peritonitis/tunnel infections5 (3.8%)33 (11.9%)69 (20.8%)72 (26.3%)192 (43.0%)371 (25.4%)
Psychosocial/medical51 (38.6%)73 (26.3%)67 (20.2%)50 (18.2%)60 (13.5%)301 (20.6%)
 Poor adherence0 (0.0%)3 (1.1%)1 (0.3%)5 (1.8%)8 (1.8%)17 (1.2%)
 Alcoholism0 (0.0%)0 (0.0%)0 (0.0%)1 (0.4%)0 (0.0%)1 (0.1%)
 Anxiety0 (0.0%)0 (0.0%)0 (0.0%)0 (0.0%)1 (0.2%)1 (0.1%)
 Career choice/burn out6 (4.5%)5 (1.8%)12 (3.6%)1 (0.4%)8 (1.8%)32 (2.2%)
 Patient choice/burn out45 (34.1%)61 (21.9%)49 (14.8%)39 (14.2%)26 (5.8%)220 (15.0%)
 Dementia0 (0.0%)1 (0.4%)2 (0.6%)0 (0.0%)3 (0.7%)6 (0.4%)
 Depression0 (0.0%)0 (0.0%)0 (0.0%)0 (0.0%)3 (0.7%)3 (0.2%)
 Physical incapacity0 (0.0%)3 (1.1%)3 (0.9%)4 (1.5%)11(2.5%)21 (1.4%)
Other12 (9.1%)45 (16.2%)43 (13.0%)32 (11.7%)37 (8.3%)169 (11.6%)
 Hemoperitoneum0 (0.0%)0 (0.0%)0 (0.0%)0 (0.0%)2 (0.4%)2 (0.1%)
 Other clinical reasons12 (9.1%)42 (15.1%)40 (12.0%)26 (9.5%)26 (5.8%)146 (10.0%)
 Intra-abdominal pathology0 (0.0%)3 (1.1%)3 (0.9%)6 (2.2%)9 (2.0%)21 (1.4%)
 Problems with solute/water clearance6 (4.5%)26 (9.4%)55 (16.6%)28 (10.2%)51 (11.4%)166 (11.4%)
 Phosphate clearance0 (0.0%)0 (0.0%)1 (0.3%)1 (0.4%)4 (0.9%)6 (0.4%)
 Inadequate Kt/V6 (4.5%)26 (9.4%)54 (16.3%)25 (9.1%)45 (10.1%)156 (10.7%)
 Ultrafiltration problems0 (0.0%)0 (0.0%)0 (0.0%)2 (0.7%)2 (0.4%)4 (0.3%)
Peritoneal leaks/hernia2 (1.5%)5 (1.8%)6 (1.8%)5 (1.8%)18 (4.0%)36 (2.5%)
 Peritoneal leaks2 (1.5%)2 (0.7%)0 (0.0%)0 (0.0%)6 (1.3%)10 (0.7%)
 Hernia0 (0.0%)3 (1.1%)6 (1.8%)5 (1.8%)12 (2.7%)26 (1.8%)
Encapsulating peritoneal sclerosis0 (0.0%)0 (0.0%)3 (0.9%)3 (1.1%)14 (3.1%)20 (1.4%)
Total132 (100%)278 (100%)332 (100%)274 (100%)446 (100%)1,462 (100%)

Abbreviation: PD, peritoneal dialysis.

Technique failure hazard function. The smoothed hazard estimates show that there is some increased risk in the first 40 days, which attenuates after the early failures have occurred.Outcome and censure events, 5869 (90.96) n (%) Technique failure events, 1462 (22.66) Competing risks events, 2406 (37.29)- Death, 1955 (30.30) -Transplant, 451 (6.99) Censure events, 2001 (31.01) - Kidney function recovery, 262 (4.06) - Therapy withdrawal/suspension, 449 (6.96) - Change of provider , 1290 (19.99)End of study, n (%) 583 patients (9.04) 6452 eligible patients 6673 patients 221 patients did not meet eligibility criteria Reasons for PD Technique Failure Abbreviation: PD, peritoneal dialysis.

Flexible Parametric Survival Model With Competing Risks

Multivariable analyses were conducted to assess the effect of demographic, clinical, and laboratory variables on risk for technique failure, adjusting for the competing risks of death and kidney transplantation over 3 years of follow-up. Our results indicate that the PD modality does not have a statistically significant effect on risk for technique failure when controlled for confounding variables. We also observed that for every 10-year age increase, female sex, center size, and Kt/V reduced the risk for failure. Factors related to higher risk for technique failure were diabetes, history of major abdominal surgery, catheter implant technique, obesity, and peritonitis (Tables 3, S1, and S2).
Table 3

Flexible Parametric Survival Model With Competing Risks

CharacteristicsHazard RatioP95% CI
Automated PDa1.120.150.96-1.30
Age, per 10 yb0.900.010.86-0.94
Female sexc0.810.010.69-0.94
Center size > 48d0.540.010.39-0.75
History of diabetes1.180.031.01-1.39
History of major abdominal surgery1.780.011.35-2.34
Percutaneous implant techniquee1.410.011.13-1.76
Laparotomy implant techniquee1.700.011.40-2.05
Obesityf1.520.011.26-1.84
Kt/V0.910.030.83-0.99
Peritonitis during follow-up1.810.011.53-2.14

Reference, continuous anbulatory peritoneal dialysis.

For every 10 years of age increase.

Reference, male sex.

Center size was determined by the number of incident patients per year.

Reference, mini laparotomy.

Body mass index ≥ 30 kg/m2.

Flexible Parametric Survival Model With Competing Risks Reference, continuous anbulatory peritoneal dialysis. For every 10 years of age increase. Reference, male sex. Center size was determined by the number of incident patients per year. Reference, mini laparotomy. Body mass index ≥ 30 kg/m2.

Discussion

In an extended network of home dialysis clinics in Colombia, the incidence rate of technique failure, a key indicator of the effectiveness and safety of a PD program that is associated with high mortality and morbidity, was approximately 10 events/100 patient-years at risk. This rate, although high, is lower than that in many prior reports.22, 23, 24, 25 Following adjustment for the competing risks for death and kidney transplantation, we obtained cumulative incidences of 7%, 13%, and 20% in the first, second, and third year, respectively. Our favorable results could be explained by the PD model offered by the extended network of RTS in Colombia, which has relevant characteristics such as national coverage, high-quality standards, specific training for health professionals, monthly comprehensive evaluation, monitoring of key performance indicators per site, and the development of quality improvement plans. Additionally, conditions of the Colombian geography, with remote areas difficult to access, could influence modality selection such that that clinical teams work more proactively to return patients to the PD program as soon as possible. The most frequent causes of technique failure were catheter related, highlighting an area for improvement because at least some of these episodes could be avoidable with different surgical techniques and the development of better diagnostic and treatment strategies for identifying and addressing catheter malfunction. Additional common causes included peritonitis and psychosocial factors (social support, patient choice/”burn out”) that may be modifiable with patient and caregiver education and support and potentially modifications in patient selection for PD., It is important to note that the hazard function shows there is increased risk for technique failure within the first 40 days. Thus, patient care and prevention of problems with the catheter and infectious complications should be emphasized at this early stage. The cumulative incidence technique failure was not different for patients who started with CAPD compared with automated PD. This result was corroborated in the multivariable analysis, in which this factor was not statistically significant. This finding differs slightly from reports in the literature that suggest that the automated PD modality confers a slight increase in risk for technique failure., This could be because in our study, the populations using the 2 modalities are very similar and the selection is very balanced, depending largely on patient preference. Of note, it is important to highlight that factors such as socioeconomic level and educational level were not related to technique failure, similar to previous reports., This result is of great value given that Colombia is a country with economic inequity, a substantial proportion of the population below the poverty line, and limited access to high-quality education. Our study found several factors, similar to the prior literature, associated with lower risk for technique failure, such as older age, female sex, larger center size defined by the number of incident patients per year, and higher Kt/V.,,,, The size of the center could be an indirect indicator of expertise and training of PD teams. Traditionally, peritonitis is one of the most important causes of technique failure. We found in this cohort that having at least 1 event of peritonitis during the follow-up period increased the risk for technique failure 2-fold compared with those without a history of peritonitis; our data are consistent with other reports. Likewise, we observed that a history of diabetes and history of major abdominal surgery, obesity, and catheter implant technique were associated with higher risk for technique failure, also similar to that seen in other reports.,,, Surgical implantation technique was also associated with higher risk for PD technique failure; this likely is related to the fact that open abdominal surgery is indicated in patients with some type of pathology of the abdominal wall, significant obesity, history of surgeries, or suspected peritoneal adherences, which may lead to confounding by indication. In contrast to several other studies, several key factors were not associated with technique failure, including urine output and PET results.,,31, 32, 33, 34 In summary, catheter-related problems, peritonitis, and treatment in smaller PD centers are critical factors associated with technique failure, and addressing these, particularly catheter issues early in the PD course and potentially the ability of staff to troubleshoot and expertise in training patients and their caregivers, may result in improved PD outcomes. Strengths of this study include the substantial number of patients; detailed clinical data for patients, including PD adequacy, residual kidney function, PET results, and PD catheter surgical placement data; and incorporation of both facility and patient data into models. In addition, robust statistical methodologies were used with multivariable adjustment, including accounting for competing risks for death and kidney transplantation, thereby limiting confounding. Limitations of this study are that the variables of distance to the dialysis center and the use of icodextrin were not included, as well as the absence of data for patient-reported outcome measures. In conclusion, rates of technique failure were relatively low in a generalizable population from Colombia, with catheter-related problems the main cause of technique failure. Strategies to diagnose and address catheter-related problems expeditiously could be very influential to enhance PD success.
  29 in total

1.  Compared with younger peritoneal dialysis patients, elderly patients have similar peritonitis-free survival and lower risk of technique failure, but higher risk of peritonitis-related mortality.

Authors:  Wai H Lim; Gursharan K Dogra; Stephen P McDonald; Fiona G Brown; David W Johnson
Journal:  Perit Dial Int       Date:  2011-05-31       Impact factor: 1.756

2.  Risk Predictors and Causes of Technique Failure Within the First Year of Peritoneal Dialysis: An Australia and New Zealand Dialysis and Transplant Registry (ANZDATA) Study.

Authors:  Emily J See; David W Johnson; Carmel M Hawley; Elaine M Pascoe; Sunil V Badve; Neil Boudville; Philip A Clayton; Kamal Sud; Kevan R Polkinghorne; Monique Borlace; Yeoungjee Cho
Journal:  Am J Kidney Dis       Date:  2017-12-23       Impact factor: 8.860

Review 3.  The Current State of Peritoneal Dialysis.

Authors:  Rajnish Mehrotra; Olivier Devuyst; Simon J Davies; David W Johnson
Journal:  J Am Soc Nephrol       Date:  2016-06-23       Impact factor: 10.121

4.  Is assisted peritoneal dialysis associated with technique survival when competing events are considered?

Authors:  Thierry Lobbedez; Christian Verger; Jean-Philippe Ryckelynck; Emmanuel Fabre; David Evans
Journal:  Clin J Am Soc Nephrol       Date:  2012-02-16       Impact factor: 8.237

5.  Comparison of patient and technique survival in continuous ambulatory peritoneal dialysis (CAPD) and hemodialysis: a multicenter study.

Authors:  K D Serkes; C R Blagg; K D Nolph; E F Vonesh; F Shapiro
Journal:  Perit Dial Int       Date:  1990       Impact factor: 1.756

6.  Early failure in patients starting peritoneal dialysis: a competing risks approach.

Authors:  Clémence Béchade; Lydia Guittet; David Evans; Christian Verger; Jean-Philippe Ryckelynck; Thierry Lobbedez
Journal:  Nephrol Dial Transplant       Date:  2013-09-26       Impact factor: 5.992

7.  Changes in patient and technique survival over time among incident peritoneal dialysis patients in Canada.

Authors:  Jeffrey Perl; Ron Wald; Joanne M Bargman; Yingbo Na; S Vanita Jassal; Arsh K Jain; Louise Moist; Sharon J Nessim
Journal:  Clin J Am Soc Nephrol       Date:  2012-05-03       Impact factor: 8.237

8.  Effect of Peritoneal Transport Characteristics on Clinical Outcome in Nondiabetic and Diabetic Nephropathy Patients with Peritoneal Dialysis.

Authors:  Hong Wang; Junping Tian; Fenghe Du; Tao Wang
Journal:  Iran J Kidney Dis       Date:  2019-01       Impact factor: 0.892

9.  The Peritoneal Dialysis Outcomes and Practice Patterns Study (PDOPPS): Unifying Efforts to Inform Practice and Improve Global Outcomes in Peritoneal Dialysis.

Authors:  Jeffrey Perl; Simon J Davies; Mark Lambie; Ronald L Pisoni; Keith McCullough; David W Johnson; James A Sloand; Sarah Prichard; Hideki Kawanishi; Francesca Tentori; Bruce M Robinson
Journal:  Perit Dial Int       Date:  2015-11-02       Impact factor: 1.756

10.  Risk factors associated with outcomes of peritoneal dialysis in Taiwan: An analysis using a competing risk model.

Authors:  Hsiao-Ling Chen; Der-Cherng Tarng; Lian-Hua Huang
Journal:  Medicine (Baltimore)       Date:  2019-02       Impact factor: 1.817

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  2 in total

1.  Outcomes of peritoneal dialysis in elderly vs non-elderly patients: A systemic review and meta-analysis.

Authors:  Chunling Jiang; Qiang Zheng
Journal:  PLoS One       Date:  2022-02-08       Impact factor: 3.240

2.  Time on Therapy of Automated Peritoneal Dialysis with and without Remote Patient Monitoring: A Cohort Study.

Authors:  Mauricio Sanabria; Jasmin Vesga; Bengt Lindholm; Angela Rivera; Peter Rutherford
Journal:  Int J Nephrol       Date:  2022-08-22
  2 in total

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