PATIENTS AND METHODS: The open, paramedian approach is the commonest technique to insert the 62-cm coiled double-cuffed Tenckhoff peritoneal catheter. All patients with catheters inserted between January 2004 and November 2007 were retrospectively analyzed for demographics and followed for up to 1 month for complications. We excluded patients whose catheters had been anchored to the bladder wall and who underwent concurrent omentectomy or readjustment without removal of a malfunctioning catheter (n = 7). Intravenous cloxacillin was the standard preoperative antibiotic prophylaxis. ♢
RESULTS: Over the 4-year study period, 384 catheters were inserted under local anesthetic into 319 patients [201 women (62.8%); mean age: 49.4 ± 16.7 years (range: 13 - 89 years); 167 (52.2%) with diabetes; 303 (95%) with end-stage renal disease] by 22 different operators. All Tenckhoff catheters were inserted by the general surgical (n = 223) or urology (n = 161) team. There were 29 cases (7.6%) of catheter migration, 22 (5.7%) of catheter obstruction without migration, 24 (6.3%) of exit-site infection, 12 (3.1%) of leak from the main incision, 14 (3.6%) of culture-proven wound infection, 11 (2.9%) post-insertion peritonitis, and 1 (0.3%) hemoperitoneum. No deaths were attributed to surgical mishap. ♢
CONCLUSIONS: The most common complication was catheter migration. The paramedian insertion technique was safe, with low complication rates.
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.
MATERIALS AND METHODS: A cross sectional descriptive study was conducted on 72 ESRD patients at a Dialysis Centre in Malaysia. The modified KDQOL-SF™ subscales, kidney disease-targeted scale and 36 item health survey scale questionnaires were used.
RESULTS: The overall health rating was 66.73 ± 11.670 indicating good quality of life. There was no significant difference between quality of life for the different domains according to gender (p >0.05). However, there were significant differences between quality of life in the domain of burden of kidney disease. Physical functioning deteriorated significantly with age (p=0.012) while social functioning was lowest in the 50-65 years age group (p=0.037). Those who had no morbidities had significantly better scores on the effects of kidney (p=0.036), burden of kidney disease (p=0.011) and physical functioning (p=0.025).
CONCLUSIONS: Patients undergoing haemodialysis have been found to have good quality of life despite having ESRD. It is therefore of paramount importance to constantly monitor the standard of care for these patients to enable them to live their life to the fullest.
METHODS: This is a cross-sectional study assessing LVH using echocardiogram in PD patients. Left ventricular mass index (LVMI) was calculated to determine LVH. Chronic fluid overload (overhydration) was assessed using the body composition monitor, and blood pressure (BP) was measured using 24-h ambulatory BP monitoring.
RESULTS: Thirty-one patients (21 females:10 males, 48.97 ± 14.50 years and dialysis vintage 40.0 ± 28.9 months) were studied. More than two-thirds (77.4 %) were hypertensive, and a third (35.5 %) were diabetic. Baseline data included mean serum albumin (37.34 ± 4.43 g/l), weekly Kt/V (2.02 ± 0.23), residual renal function of 68 (0-880) ml and ultrafiltration of 1,606.9 ± 548.6 ml. Majority of patients (80.6 %) had LVH on echocardiogram with LVMI of 136.5 ± 37.8 g/m(2) and overhydration of 2.23 ± 1.77 l. Average systolic BP, diastolic BP and mean arterial pressure were 141.2 ± 23.3, 90.8 ± 19.7 and 107.6 ± 19.6 mmHg, respectively. Patients with LVH had a lower serum albumin (p = 0.003), were more overhydrated (p = 0.010) and were on higher number of anti-hypertensive agents (p ≤ 0.001). Predictors of LVMI were overhydration (p = 0.002), the presence of diabetes (p = 0.008) and the number of anti-hypertensive agents used (p = 0.026). However, overhydration (p = 0.007) was the main predictor of LVH on multivariate analysis.
CONCLUSION: Overhydration is strongly associated with LVH in PD patients.