Resolution of severe eosinophilic peritonitis in a patient on continuous ambulatory peritoneal dialysis by changing from Dianeal peritoneal dialysis solution to Stay-Safe Balance solution: a case report.

BACKGROUND: Eosinophilic peritonitis is a well-known complication at the initiation of peritoneal dialysis. It is often due to an allergic reaction to peritoneal dialysis solution or sometimes to the peritoneal dialysis catheter itself. Most cases are self-limiting with expected spontaneous resolution within a few weeks. Treatment is necessary for severe or persistent cases. However, the optimal treatment has not yet been defined. There have been only a few case reports on the use of anti-histamines and/or steroids for the treatment of eosinophilic peritonitis. We reported a case of severe eosinophilic peritonitis successfully treated by switching the brand of peritoneal dialysis fluid (same glucose concentration). To the best of our knowledge, this is the first reported case employing such a treatment strategy. CASE PRESENTATION: An eighty-two-year-old man with end-stage renal failure was started on continuous ambulatory peritoneal dialysis with Dianeal® (Baxter) peritoneal dialysis solution. He developed eosinophilic peritonitis 19 days after initiation of peritoneal dialysis. Infectious causes were ruled out by bacterial, fungal and tuberculosis smears and cultures. In view of the persistent and severe symptoms, we intervened by switching from Dianeal® (Baxter) peritoneal dialysis solution to Stay-Safe Balance® (Fresenius) solution with the same glucose concentration. His eosinophilic peritonitis resolved 5 days after switching the peritoneal dialysis solution. CONCLUSION: In severe or persistent cases of eosinophilic peritonitis requiring treatment, other than the use of steroids and anti-histamines, switching to a different brand of peritoneal dialysis solution can be considered.

Mass Screening Is Associated with Low Rates of Acute Kidney Injury among COVID-19 Patients in Hong Kong.

INTRODUCTION: Renal involvement in COVID-19 is less well characterized in settings with vigilant public health surveillance, including mass screening and early hospitalization. We assessed kidney complications among COVID-19 patients in Hong Kong, including the association with risk factors, length of hospitalization, critical presentation, and mortality. METHODS: Linked electronic records of all patients with confirmed COVID-19 from 5 major designated hospitals were extracted. Duplicated records due to interhospital transferal were removed. Primary outcome was the incidence of in-hospital acute kidney injury (AKI). Secondary outcomes were AKI-associated mortality, incident renal replacement therapy (RRT), intensive care admission, prolonged hospitalization and disease course (defined as >90th percentile of hospitalization duration [35 days] and duration from symptom onset to discharge [43 days], respectively), and change of estimated glomerular filtration rate (GFR). Patients were further stratified into being symptomatic or asymptomatic. RESULTS: Patients were characterized by young age (median: 38.4, IQR: 28.4-55.8 years) and short time (median: 5, IQR: 2-9 days) from symptom onset to admission. Among the 591 patients, 22 (3.72%) developed AKI and 4 (0.68%) required RRT. The median time from symptom onset to in-hospital AKI was 15 days. AKI increased the odds of prolonged hospitalization and disease course by 2.0- and 3.5-folds, respectively. Estimated GFR 24 weeks post-discharge reduced by 7.51 and 1.06 mL/min/1.73 m2 versus baseline (upon admission) in the AKI and non-AKI groups, respectively. The incidence of AKI was comparable between asymptomatic (4.8%, n = 3/62) and symptomatic (3.7%, n = 19/519) patients. CONCLUSION: The overall rate of AKI among COVID-19 patients in Hong Kong is low, which could be attributable to a vigilant screening program and early hospitalization. Among patients who developed in-hospital AKI, the duration of hospitalization is prolonged and kidney function impairment can persist for up to 6 months post-discharge. Mass surveillance for COVID-19 is warranted in identifying asymptomatic subjects for earlier AKI management.

Distinct Symptom Experience Among Subgroups of Patients With ESRD Receiving Maintenance Dialysis.

CONTEXT: Patients with end-stage renal disease receiving dialysis experience multiple concurrent symptoms. A person-centered understanding of patients' symptom experiences may offer insights into individualized management. OBJECTIVES: We identified subgroups of patients based on their symptom experiences and the characteristics that differentiated among these subgroups. Outcomes associated with these subgroups were evaluated. METHODS: A total of 354 patients on dialysis were recruited at two regional hospitals in Hong Kong. While the Dialysis Symptom Index was adopted to assess symptoms, the Kidney Disease Quality of Life 36 and Karnofsky Performance Status Scale were used to evaluate the quality of life outcomes. Information on health care utilization and mortality were retrieved from medical records. Subgroups of patients were identified using latent class analysis based on the occurrence ratings. Differences in characteristics and outcomes were determined using Chi-squared test, analysis of variance, and Cox regression analysis. RESULTS: Three latent classes were identified: low (37.8%), moderate physical-low psychological (29.7%), and moderate physical-high psychological (32.5%). Higher comorbidity burden and lower serum albumin levels differentiated between the low and moderate physical-low psychological classes. The moderate physical-high psychological class had the highest number of symptoms, poorest quality of life outcomes, and more unscheduled clinic visits. A shorter mean survival time (421 vs. 431 days) was also found. CONCLUSION: Consistent with findings in other chronic conditions, subgroups of patients on dialysis have unique symptom experiences. Therefore, an individualized approach to symptom management is warranted. Our findings offer a phenotypic characterization for research on the underlying mechanisms for these symptom experiences.

Predictive value of dialysate cell counts in peritonitis complicating peritoneal dialysis.

Early prediction of outcomes has major potential implications regarding the management of dialysis-related peritonitis. The outcomes of 565 consecutive episodes of peritonitis complicating peritoneal dialysis between August 2001 and July 2005 were evaluated in relation to the dialysate cell counts. Discriminatory power, based on the area under the receiver-operating characteristic (ROC) curves, of the cell counts was assessed. The findings then were validated externally in a cohort of 217 peritonitis episodes from another dialysis unit. During the study period, 565 episodes of peritonitis were included for analysis, 465 of which had treatment success defined as complete resolution of peritonitis without the need for Tenckhoff catheter removal. Of the remaining 100 episodes (treatment failure), 70 required Tenckhoff catheter removal and 30 had peritonitis-related death. The peritoneal dialysate total white blood cell count on day 3 of peritonitis predicted treatment failure independent of standard risk factors, and it had a higher area under the ROC curve than the dialysate white cell count on day 1 (0.80 versus 0.58; P < 0.0001). Using a peritoneal dialysate white count cut point > or = 1090/mm3 on day 3, the sensitivity was 75% and the specificity was 74% for the prediction of treatment failure (defined as catheter loss or peritonitis-related death). In multiple logistic regression analyses, peritoneal dialysate white count > or = 1090/mm3 on day 3 was an independent prognostic marker for treatment failure after adjustment for conventional risk factors (hazard ratio 9.03; 95% confidence interval 4.40 to 18.6; P < 0.0001). Number of years on peritoneal dialysis; diabetes; gram-negative organisms; and Pseudomonas, fungal, or Mycobacterium species were other independent risk factors that were predictive of treatment failure. Findings from an independent validation set of peritonitis (217 episodes after exclusion of Mycobacterium and fungal causes) also favored the peritoneal dialysate white count on day 3, as compared with day 1 and day 2, to predict treatment failure. Area under the ROC curve for the white counts on day 3 was 0.98 (95% confidence interval 0.95 to 0.99) in the validation set. This study demonstrated and cross-validated the superiority of peritoneal dialysate white cell count on day 3 to predict outcomes of dialysis-related peritonitis. These results call attention to the value of validating prognostic factors of peritonitis complicating peritoneal dialysis.