Changes in serum albumin concentrations during transition to dialysis and subsequent risk of peritonitis after peritoneal dialysis initiation: a retrospective cohort study

Survival rates in comprehensive conservative care compared to dialysis therapy in elderly end-stage kidney disease patients: a propensity score analysis

Initiating dialysis therapy in elderly patients with end-stage kidney disease (ESKD) is a challenging decision. We aimed to examine the mortality rates among elderly patients who underwent hemodialysis, peritoneal dialysis, or comprehensive conservative care. This retrospective cohort study included elderly patients (≥70 years) with ESKD who selected their treatment options from January 2008 to December 2018. Patients were categorized into three groups: hemodialysis, peritoneal dialysis, and comprehensive conservative care. The outcome of interest was all-cause mortality analyzed using flexible parametric survival models. Propensity score analysis with inverse probability treatment weighting technique was performed, incorporating age, Charlson Comorbidity Index score, and estimated glomerular filtration rate. The study included 719 elderly ESKD patients with mean age of 78.2 ± 4.9 years, 52.3% were male, and 60.1% died during the median follow-up period of 22.1 months. In a fully adjusted model, patients receiving comprehensive conservative care (n = 50) had higher mortality rates than those receiving hemodialysis (n = 317) (adjusted hazard ratio [HR] 5.60; 95% CI 2.26-13.84, p < 0.001). However, patients who received peritoneal dialysis (n = 352) had a similar mortality rate when compared to those who received hemodialysis (adjusted HR 1.38; 95% CI 0.78-2.44, p = 0.275). The higher mortality rate in the comprehensive conservative care group remained significantly higher than in the hemodialysis group among patients aged ≥80 years (adjusted HR 4.97; 95% CI 1.32-18.80, p = 0.018). Among elderly patients (≥70 years), treatment with dialysis was associated with longer survival rates. This survival advantage persisted in patients aged ≥80 years who chose hemodialysis or peritoneal dialysis over comprehensive conservative care.

Peritoneal Dialysis-Related Infections

Peritoneal dialysis (PD) represents an important treatment choice for patients with kidney failure. It allows them to dialyze outside the hospital setting, facilitating enhanced opportunities to participate in life-related activities, flexibility in schedules, time and cost savings from reduced travel to dialysis centers, and improved quality of life. Despite its numerous advantages, PD utilization has been static or diminishing in parts of the world. PD-related infection, such as peritonitis, exit-site infection, or tunnel infection, is a major concern for patients, caregivers, and health professionals-which may result in hesitation to consider this as treatment or to cease therapy when these complications take place. In this review, the definition, epidemiology, risk factors, prevention, and treatment of PD-related infection on the basis of the contemporary evidence will be described.

Comparison of mortality according to baseline, first year, and mean albumin levels in peritoneal dialysis: a retrospective study

BACKGROUND

The relationship between hypoalbuminemia in peritoneal dialysis (PD) and mortality, risk of peritonitis, and decreased residual renal function (RRF) is known. However, we have not encountered a comprehensive study on which of the mean albumin values, at the beginning of peritoneal dialysis, in the first year, and during the peritoneal dialysis period, provide more predictive predictions regarding mortality, peritonitis risk, and RRF reduction.

METHODS

A total of 407 PD patients in whom PD was initiated and followed up and PD was terminated were included in the study. Albumin levels, peritonitis, and RRF at the beginning of PD and at 3-month periods during PD were recorded.

RESULTS

In the evaluation of the patients, there was a significant relationship between mean, first-year albumin values in RRF loss (p = 0.001, p = 0.006, respectively) and peritonitis (p < 0.001), but no significant correlation was found with baseline albumin values (p = 0.213, p = 0.137, respectively). In the comparison of mortality ROC analysis of PD patients, a significant correlation was found with mortality at baseline, first year, and mean albumin values (p < 0.001). However, in the multivariate Cox regression analysis, it was determined that there was a more significant relationship between first-year albumin and mean albumin values compared to baseline albumin values (HR 0.918 [95% CI 0.302-0.528] (p < 0.001)), (HR 1.161 [95% CI 0.229-0.429] (p < 0.001)), (HR 0.081 [95% CI 0.718-1.184] (p = 0.525)).

CONCLUSIONS

In conclusion, mean and first-year mean albumin levels provide more determinative predictions for mortality, risk of peritonitis, and maintenance of residual renal functions in peritoneal dialysis patients compared to baseline albumin.

Associations between liver function parameters and poor clinical outcomes in peritoneal dialysis patients

Patients with end-stage renal disease (ESRD) have significantly lower survival rates compared with the general population of the same age. Peritoneal dialysis (PD) is an effective treatment for patients with ESRD, but the clinical outcome of PD patients is still not promising. The survival of PD patients is associated with various clinical factors, and exploring some valid risk predictors may be beneficial for this population. In this review, by integrating the latest research, we summarized the association of some common and novel liver function parameters (ALT, AST, ALP, GGT, serum bilirubin, pre-albumin, albumin, albumin-globulin ratio [AGR], serum ferritin, and hyaluronic acid) with clinical outcomes in PD patients. It may contribute to a better understanding of potential risk factors and help to develop strategies to prevent the disease progression.

Identifying the Association of Time-Averaged Serum Albumin Levels with Clinical Factors among Patients on Hemodialysis Using Whale Optimization Algorithm

Time-averaged serum albumin (TSA) is commonly associated with clinical outcomes in hemodialysis (HD) patients and considered as a surrogate indicator of nutritional status. The whale optimization algorithm-based feature selection (WOFS) model could address the complex association between the clinical factors, and could further combine with regression models for application. The present study aimed to demonstrate an optimal multifactor TSA-associated model, in order to interpret the complex association between TSA and clinical factors among HD patients. A total of 829 HD patients who met the inclusion criteria were selected for analysis. Monthly serum albumin data tracked from January 2009 to December 2013 were converted into TSA categories based on a critical value of 3.5 g/dL. Multivariate logistic regression was used to analyze the association between TSA categories and multiple clinical factors using three types of feature selection models, namely the fully adjusted, stepwise, and WOFS models. Five features, albumin, age, creatinine, potassium, and HD adequacy index (Kt/V level), were selected from fifteen clinical factors by the WOFS model, which is the minimum number of selected features required in multivariate regression models for optimal multifactor model construction. The WOFS model yielded the lowest Akaike information criterion (AIC) value, which indicated that the WOFS model could achieve superior performance in the multifactor analysis of TSA for HD patients. In conclusion, the application of the optimal multifactor TSA-associated model could facilitate nutritional status monitoring in HD patients.

Serum potassium, albumin and vitamin B12 as potential oxidative stress markers of fungal peritonitis

BACKGROUND

Biomarkers of oxidative stress (OS) have been poorly explored in fungal peritonitis (FP). Potassium is a regulator of pro-oxidants and antioxidants. Albumin and vitamin B₁₂ (B₁₂) are vital antioxidant agents in the circulatory system. This study aimed to investigate the antioxidative role of serum potassium, albumin and B₁₂ in FP.

METHODS

Serum levels of potassium, albumin and B₁₂ were retrospectively analyzed in 21 patients with a confirmed diagnosis of FP, 105 bacterial peritonitis (BP) patients and 210 patients receiving peritoneal dialysis without peritonitis.

RESULTS

Serum levels of potassium, albumin and B₁₂ were lower in FP patients than in BP patients. Serum potassium concentration was statistically related to albumin concentration in peritonitis patients. Univariate and multivariate binary logistic regression analysis suggested that serum level of potassium and albumin were independent risk factors of FP when compared with BP. Lower potassium and B₁₂ levels were independently associated with higher rates of technique failure in peritonitis.

CONCLUSION

These findings suggest lower serum potassium, albumin and B₁₂ as potential oxidative stress markers of FP and raise the hypothesis that an increased level of OS could contribute to FP.KEY MESSAGESFP remains a serious complication of peritoneal dialysis (PD), with higher morbidity (1-23.8%) and mortality (2-25%), and oxidative stress plays a role in it.Our study suggested serum potassium, albumin and vitamin B₁₂ as potential oxidative stress markers of fungal peritonitis.

Comparative effectiveness of lactulose and sennosides for the prevention of peritoneal dialysis-related peritonitis: an open-label, randomized, active-controlled trial

BACKGROUND

To the best of our knowledge, the effectiveness and safety of lactulose in comparison to sennosides, for the prevention of peritoneal dialysis (PD)-related peritonitis, has never been tested in a randomized study.

METHODS

We conducted an open-label, randomized, active-controlled trial in a PD-center in Northern Thailand. Adult patients on PD were enrolled and randomly assigned in a 1:1 ratio into two groups; one group received lactulose 15 mL once daily (n = 50) and the other group received sennosides two tablets daily (n = 50). The primary outcome was time-to-first bacterial peritonitis. The secondary outcomes included a composite of bacterial peritonitis and all-cause mortality. Cox proportional hazards regression was calculated and presented as hazard ratios (HRs) with 95% confidence intervals (CIs).

RESULTS

One hundred PD patients were recruited (50.0% men; mean age 55.5 ± 13.0 years) in this study. The baseline characteristics of the study participants were similar in both groups. No significant trend towards a higher risk of PD-related peritonitis was observed in the lactulose group (HR, 2.32 [95% CI, 0.92-5.83]; p = .051) compared to the sennosides group. Nevertheless, the secondary outcome was significantly higher in the lactulose group (HR, 2.77 [95% CI, 1.20-6.41]; p = .010). The incidence of adverse events was not substantially different between the two groups; however, diarrhoea was more frequent in the lactulose group (38.0% vs. 18.0%; p = .030) than in the sennosides group.

CONCLUSIONS

Treatment with lactulose is not more effective than sennosides and cannot be routinely recommended for the prevention of peritonitis among the PD population. TRIAL REGISTRATION Thai Clinical Trial Registry (clinicaltrials.in.th); ID: TCTR20171012001 KEY MESSAGE To the best of our knowledge, no randomized controlled trial that compares the efficacy and safety profiles of lactulose versus sennosides for the prevention of PD-related peritonitis among the PD population has been conducted. In this open-label, randomized, active-controlled trial, treatment with lactulose is not more effective than sennosides in the prevention of PD-related peritonitis, and it could increase the risk of bacterial PD-related peritonitis. Further studies with a larger sample size by incorporated real-world evidence are needed to confirm our findings and to explore strategies to prevent peritonitis among PD patients.

Effect of Serum Albumin Changes on Mortality in Patients with Peritoneal Dialysis: A Joint Modeling Approach and Personalized Dynamic Risk Predictions

Peritoneal dialysis (PD) is a frequently used and growing therapy for end-stage renal diseases (ESRD). Survival analysis of PD patients is an ongoing research topic in the field of nephrology. Several biochemical parameters (e.g., serum albumin, creatinine, and blood urea nitrogen) are measured repeatedly in the follow-up period; however, baseline or averaged values are primarily associated with mortality. Although this strategy is not incorrect, it leads to information loss, resulting in erroneous conclusions and biased estimates. This retrospective study used the trajectory of common renal function indexes in PD patients and mainly investigated the association between serum albumin change and mortality. Furthermore, we considered patient-specific variability in serum albumin change and obtained personalized dynamic risk predictions for selected patients at different follow-up thresholds to investigate the effect of serum albumin trajectories on patient-specific mortality. We included 417 patients from the Erciyes University Nephrology Department whose data were retrospectively collected using medical records. A joint modeling approach for longitudinal and survival data was used to investigate the relationship between serum albumin trajectory and mortality of PD patients. Results showed that averaged serum albumin levels were not associated with mortality. However, serum albumin change was significantly and inversely associated with mortality (HR: 2.43, 95% CI: 1.48 to 4.16). Risk of death was positively associated with peritonitis rate, hemodialysis history, and the total number of comorbid and renal diseases with hazard ratios 1.74, 3.21, and 1.41. There was also significant variability between patients. The personalized risk predictions showed that overall survival estimates were not representative for all patients. Using the patient-specific trajectories provided better survival predictions within the follow-up period as more data become available in serum albumin levels. In conclusion, using the trajectory of risk predictors via an appropriate statistical method provided better predictive accuracy and prevented biased findings. We also showed that personalized risk predictions were much informative than overall estimations in the presence of significant patient variability. Furthermore, personalized estimations may play an essential role in monitoring and managing patients during the follow-up period.

Remote monitoring in peritoneal dialysis: benefits on clinical outcomes and on quality of life

Background

Automated peritoneal dialysis (APD) has been proved benefit from remote monitoring (RM), but evidences are limited. In this study, we compared clinical outcomes and quality of life (QoL) in two group of patients undergoing APD, with and without exposure of RM.

Methods

This is a retrospective cohort study, comparing outcomes in two groups of APD patients monitored during 6 months with RM (group A: n = 35) or standard care (group B: n = 38 patients). In our clinical practice, we assign the RM system to patients who live more distant from the PD center or difficulty in moving. We evaluated emergency visits, hospitalizations, peritonitis, overhydration, and dropout. QoL was assessed with the Kidney Disease Quality of life-Short Form (KDQOL-SF). We included four additional questions focused on patient’s perception of monitoring, safety and timely problems solution (Do you think that home-therapy monitoring could interfere with your privacy? Do you think that your dialysis sessions are monitored frequently enough? Do you think that dialysis-related issues are solved timely? Do you feel comfortable carrying out your home-based therapy?).

Results

The case group presented a higher comorbidity score, according to Charlson Comorbidity Index (group A: 5.0; IQR 4.0–8.0 versus group B: 4.0; IQR 3.0–6.0) (p = 0.042). The results in group A showed a reduction in the urgent visits due to acute overhydration (group A: 0.17 ± 0.45 versus group B: 0.66 ± 1.36) (p: 0.042) and in the number of disease-specific hospitalization (group A n = 2.0; 18.2% versus group B n = 7.0; 77.8%) (p = 0.022). We did not find any difference between the two groups in terms of hospitalization because of all-cause, peritonitis, overhydration, and dropout. The analysis of KDQOL-SF subscales was similar in the two groups; on the contrary, the answers of our pointed questions have showed a significant difference between the two groups (group A: 100 IQR 87.5–100.0 versus group B 87.5; IQR 75.0–100.0) (p: 0.018).

Conclusion

RM improved clinical outcomes in PD patients, reducing the emergency visits and the hospitalizations, related to nephrological problems, especially in patients with higher comorbidity score. The acceptance and satisfaction of care were better in patients monitored with RM than with standard APD.