METHODS: We formulated body capacitive index (BCI), C(BMI) (capacitance × height(2)/weight), body resistive index (BRI), R(BMI) (resistance × weight/height(2)), and CH(2) (capacitance × height(2)). We also studied H(2)/R, R/H, and reactance of a capacitor/height (X(C) /H). There are 3 components in this study design: (1) establishment of normal values in a control Malaysian population, (2) comparison of these with a CAPD population, and (3) prediction of survival within a CAPD population. We initially performed a BIA study in 206 female and 116 male healthy volunteers, followed by a prospective study in a cohort of 128 CAPD patients [47 with diabetes mellitus (DM), 81 non-DM; 59 males, 69 females] for at least 2 years. All the parameters during enrolment, including BIA, serum albumin, peritoneal equilibrium test, age, and DM status, were analyzed. Outcome measurement was survival.
RESULTS: In healthy volunteers, both genders had the same BCI (2.0 nF kg/m(2)). On the contrary, female normal subjects had higher BRI than male normal subjects (median 15 642 vs 13242 Ω kg/m(2), p < 0.001) due to higher fat percentage (35.4% ± 0.4% vs 28.0% ± 0.6%, p < 0.001), resulting in a lower phase angle (mean 5.82 ± 0.04 vs 6.86 ± 0.07 degrees, p < 0.001). Logistic regression showed that BCI was the best risk indicator in 128 CAPD patients versus 322 normal subjects. In age- and body mass index (BMI)-matched head-to-head comparison, BCI had the highest χ(2) value (χ(2) = 102.63), followed by CH(2) (or H(2)/X(C); χ(2) = 81.00), BRI (χ(2) = 20.54), and X(C)/H (χ(2) = 20.48), with p value < 0.001 for these parameters. In comparison, phase angle (χ(2) = 11.42), R/H (χ(2) = 7.19), and H(2)/R (χ(2) = 5.69) had lower χ(2) values. 35 (27.3%) patients died during the study period. Univariate analysis adjusted for DM status and serum albumin level demonstrated that non-surviving patients had significantly higher CH(2) (245 vs 169 nF m(2), p < 0.001) and BCI (4.0 vs 2.9 nF m(2)/kg, p = 0.005) than patients that survived. CH(2) was the best predictor for all-cause mortality in Cox regression analysis, followed by BCI, phase angle, and X(C)/H.
CONCLUSION: Measures that normalize, such as BCI and CH(2), have higher risk discrimination and survival prediction ability than measures that do not normalize, such as phase angle. Unlike phase angle, measurement of BCI overcomes the gender effect. In this study, the best risk indicator for CAPD patients versus the general population is BCI, reflecting deficit in nutritional concentration, while CH(2) reflects total nutritional deficit and thus is the major risk indicator for survival of CAPD patients.
METHODS: This randomized controlled trial was conducted at Montaserieh Hospital, Mashhad, Iran, involving 72 patients undergoing hemodialysis. Participants were randomly assigned to either the intervention group, receiving a custom-designed recreational therapy mobile app (including music, comedy, exercise, and educational content), or the control group, receiving standard care. The trial was registered with the Iranian Registry of Clinical Trials (IRCT20220803055608N1). Outcome assessors and statisticians were blinded to minimize bias. Sample size was calculated for an expected effect size of 0.90 with 80% power, resulting in 36 participants per group, adjusted for a 6% attrition rate. Depression levels were assessed using the Beck Depression Inventory-II (BDI-II) at baseline and after a 30-day intervention.
RESULTS: A total of 72 patients (36 per group) completed the analysis. The intervention group showed a significant decrease in depression scores compared to the control group (mean BDI-II score reduction: intervention group = 10.3 ± 4.1, control group = 4.6 ± 3.8; p
METHODS: A systematic review was conducted by searching PubMed, EMBASE and Google scholar databases to identify all relevant papers published in English from 2003 to 2012, using the following keywords: end stage, terminal, chronic, renal, kidney, risk factors, Arab, North Africa and Libya.
RESULTS: In 2003, the reported incidence of ESKD and prevalence of dialysis-treated ESKD in Libya were the same at 200 per million population (pmp). In 2007, the prevalence of dialysis-treated ESKD was 350 pmp, but the true incidence of ESKD was not available. The most recent published WHO data in 2012 showed the incidence of dialysis-treated ESKD had risen to 282 pmp and the prevalence of dialysis-treated ESKD had reached 624 pmp. The leading causes of ESKD were diabetic kidney disease (26.5 %), chronic glomerulonephritis (21.1 %), hypertensive nephropathy (14.6 %) and congenital/hereditary disease (12.3 %). The total number of dialysis centers was 40 with 61 nephrologists. Nephrologist/internist to patient ratio was 1:40, and nurse to patient ratio was 1:3.7. Only 135 living-related kidney transplants had been performed between 2004 and 2007. There were no published data on most macroeconomic and renal service factors.
CONCLUSIONS: ESKD is a major public health problem in Libya with diabetic kidney disease and chronic glomerulonephritis being the leading causes. The most frequent co-morbidities were hypertension, obesity and the metabolic syndrome. In addition to provision of RRT, preventive strategies are also urgently needed for a holistic integrated renal care system.
METHODS: A multicenter cross-sectional study was performed from June 2014 to January 2015 using the EuroQOL-5 Dimensions instrument (EQ-5D-5L) for the assessment of HRQOL. ESRD patients undergoing HD in all dialysis centres in the West Bank of Palestine were approached and recruited for this study. Multiple linear regression was carried out to identify factors that were significantly associated with HRQOL.
RESULTS: Two hundred and sixty-seven patients were participated in the current study giving response rate of 96 %. Overall, 139 (52.1 %) were male, and the mean ± standard deviation age was 53.3 ± 16.2 years. The reported HRQOL as measured by mean EQ-5D-5L index value and Euro QOL visual analogue scale (EQ-VAS) score was 0.37 ± 0.44 and 59.38 ± 45.39, respectively. There was a moderate positive correlation between the EQ-VAS and the EQ-5D-5L index value (r = 0.42, p chronic co-morbid diseases and the total number of chronic medications. However, a significant positive association was found between HRQOL with male gender, university education level and patients who live in village.
CONCLUSION: Our results provided insight into a number of associations between patient variables and their HRQOL. Healthcare providers should be aware of low HRQOL among patients with no formal education, female gender, patient's residents of refugee camps, multiple co-morbid diseases, multiple chronic medications, and elderly patients to improve their quality of life.
BACKGROUND: Depression rates are particularly high in those with end-stage renal disease; however, there is limited insight into the range of stressors associated with haemodialysis treatment within the National Health Service contributing to such high rates, particularly those of a cognitive or psychological nature.
DESIGN: A qualitative approach was used to obtain rich, patient-focused data; one-to-one semi-structured interviews were conducted with twenty end-stage renal disease at a UK National Health Service centre.
METHODS: Patients were interviewed during a typical haemodialysis session. Thematic analysis was used to systematically interpret the data. Codes were created in an inductive and cyclical process using a constant comparative approach.
RESULTS: Three themes emerged from the data: (i) fluctuations in cognitive/physical well-being across the haemodialysis cycle, (ii) restrictions arising from the haemodialysis treatment schedule, (iii) emotional impact of haemodialysis on the self and others. The findings are limited to predominantly white, older patients (median = 74 years) within a National Health Service setting.
CONCLUSIONS: Several of the experiences reported by patients as challenging and distressing have so far been overlooked in the literature. A holistic-based approach to treatment, acknowledging all aspects of a patient's well-being, is essential if optimal quality of life is to be achieved by healthcare providers.
RELEVANCE TO CLINICAL PRACTICE: The findings can be used to inform future interventions and guidelines aimed at improving patients' treatment adherence and outcomes, for example, improved reliable access to mental health specialists.