Prevalence of constipation in continuous ambulatory peritoneal dialysis patients and comparison with hemodialysis patients.
ABSTRACT Many hemodialysis patients suffer from constipation. The frequency of constipation has not been rigorously evaluated in continuous ambulatory peritoneal dialysis (CAPD) patients, however. We conducted a survey on constipation in CAPD patients and compared the findings with those in hemodialysis patients through a questionnaire. Daily dietary fiber and potassium intake were calculated from the patients' dietary records. In the questionnaire, patients were asked about bowel frequency, stool consistency, straining, and use of laxatives and resins. The frequency of constipation was 28.9% in 204 CAPD patients and 63.1% in 268 hemodialysis patients. The hemodialysis patients had a 3.14 times higher relative risk of constipation than the CAPD patients. Only 3.4% of CAPD patients needed resin to avoid hyperkalemia. Of hemodialysis patients, 49% needed resin. Among the 261 hemodialysis patients, 205 (78.5%) suppressed an urge to defecate during hemodialysis therapy. Potassium and total dietary fiber intake per day were 1.8 +/- 0.5 g and 11.0 +/- 4.0 g in CAPD patients, which were higher (P < 0.01) than the values in hemodialysis patients--1.3 +/- 0.5 g and 5.9 +/- 2.7 g. The results suggest that constipation occurs less frequently in CAPD patients than in hemodialysis patients. The low rate of constipating drug administration, dialysis modality-based lifestyle, and higher total dietary fiber intake may cause the lower prevalence of constipation in CAPD patients.
- SourceAvailable from: PubMed Central[Show abstract] [Hide abstract]
ABSTRACT: To evaluate differences in the health-related quality of life (HRQoL) between patients with constipation receiving hemodialysis (HD) and those receiving peritoneal dialysis (PD). In this cross-sectional study, 605 dialysis patients (478 HD cases and 127 PD cases; all patients were older than 18 years) from our hospital were included. A questionnaire was used to evaluate their constipation statuses. The effect of constipation on HRQoL was assessed, using the Chinese version of the 12-item short-form (SF-12) general health survey. Karnofsky score, sociodemographic, and clinical data were also collected. We performed multiple logistic regression analysis to define independent risk factors for constipation and impaired HRQoL. A total of 605 participants (326 men [53.9%] and 279 women [46.1%]) were surveyed. The incidence of constipation was 71.7% in HD patients and 14.2% in PD patients. Dialysis patients with constipation had significantly lower mean SF-12 Physical Component Summary scale and Mental Component Summary scale scores than the nonconstipation group (P < 0.05), whereas HD patients had better SF-12 Physical Component Summary and Mental Component Summary scores than PD patients (P < 0.05). When we performed multivariate logistic regression analysis, dialysis modality, diabetes, and the number of constipation-related medications were three independent risk factors associated with constipation. As for impaired HRQoL in the constipated dialysis population, dialysis modality was found to be another independent risk factor in addition to age and diabetes. PD patients with constipation had worse HRQoL than HD control participants. We should pay more attention to the patients with constipation receiving PD, as peritonitis caused by constipation was associated with a higher mortality.Patient Preference and Adherence 01/2013; 7:589-94. · 1.33 Impact Factor
- [Show abstract] [Hide abstract]
ABSTRACT: Acute appendicitis in patients with end-stage renal disease (ESRD) poses a diagnostic challenge. Delayed surgery can contribute to higher morbidity and mortality rates. However, few studies have evaluated this disease among ESRD patients. Our study focused on the lack of data on the incidence and risk factors of acute appendicitis among ESRD patients and compared the outcomes in patients who underwent different dialysis modalities. This national survey was conducted between 1997 and 2005 and included ESRD patients identified from the Taiwan National Health Insurance database. The incidence rate of acute appendicitis in ESRD patients was compared with that in randomly selected age-, sex-, and Charlson comorbidity score-matched non-dialysis controls. A Cox regression hazard model was used to identify risk factors. Among 59,781 incident ESRD patients, matched one-to-one with controls, there were 328 events of acute appendicitis. The incidence rate of 16.9 per 10,000 person-years in the ESRD cohort was higher than that in the control cohort (p = 0.003). The independent risk factors were atrial fibrillation (hazard ratio [HR], 2.08), severe liver disease (HR, 1.74), diabetes mellitus (HR, 1.58), and hemodialysis (HR, 1.74). Compared with the control cohort, subsequent perforation and mortality rates of acute appendicitis were also higher in the ESRD cohorts. There was no effect of dialysis modality on the patient outcomes. ESRD patients had a higher risk for acute appendicitis and poorer outcomes than non-dialysis populations. A careful examination of ESRD patients presenting with atypical abdominal pain to avoid misdiagnosis is extremely important to prevent delayed surgery.Journal of Gastrointestinal Surgery 07/2012; 16(10):1940-6. · 2.36 Impact Factor
- [Show abstract] [Hide abstract]
ABSTRACT: The uremic milieu is consequential to a disrupted balance between availability of retention solutes and the excretory capacity of the kidneys. Although metabolism is the prime contributor to the internal milieu, a significant fraction of uremic retention solutes originates from other sources. The main route of entrance is via the intestinal tract, directly from the diet and indirectly from commensal microbial metabolism. This latter dynamic interplay between the intestines and kidney has been coined the gut–kidney axis. This review summarizes current understanding of the gut–kidney axis and explores the impact of dietary and other nonextracorporeal therapeutic interventions in patients with chronic kidney disease.Seminars in Nephrology 01/2014; 34(2):228–243. · 2.83 Impact Factor