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  1. Go KW, Teo SM
    Med J Malaysia, 2006 Oct;61(4):447-50.
    PMID: 17243522
    Systemic Lupus Erythematosus (SLE) is a multisystemic autoimmune disease with renal involvement being one of the most frequent and serious manifestations of the disease. The aim of the study is to analyze the treatment and renal outcome of patients with lupus nephritis (LN) WHO class III and IV on cyclophosphamide (CYC). We retrospectively identified 41 patients with biopsy proven LN who was given either oral or intravenous CYC. The male: female ratio was 4:37; with a mean age of 31.7 +/- 9.8 years at presentation. 36 patients (87.8%) had LN class IV and only five patients (12.2%) with LN class III. The mean serum creatinine at presentation was 87.4 +/- 37.2 micromol/L with mean follow-up of 84 +/- 78 months. A total of 30 patients (73.2%) completed 12 courses of IV CYC and one patient (2.4%) completed three months of oral CYC. 71.0% (n = 22) had complete response (CR), 25.8% (n = 8) had partial response and 3.2% (n = 1) had no response (NR). Of the remaining 11 patients, two patients (4.9%) died during the treatment, three patients (7.3%) defaulted treatment and five patients (12.2%) are still receiving ongoing treatment. Presence of hypertension (p < 0.003) and evidence of chronicity on renal biopsy (p < 0.016) were significantly correlated with the progressive deterioration of renal function in our population. In conclusion, hypertension and evidence of chronicity on renal biopsy, proved to be risk factors for progressive renal impairment in our study population. The achieved global outcome can be considered good.
    Study site: Hospital Ipoh, Ipoh, Perak, Malaysia
  2. Go KW, Teo SM
    Transplant Proc, 2004 Sep;36(7):2046-7.
    PMID: 15518740
    To compare patient graft survival between various subgroups among renal transplant patients.
  3. Fauziah K, Go KW, Ghazali A, Zaki M, Lim TO
    BMC Nephrol, 2017 Apr 03;18(1):123.
    PMID: 28372556 DOI: 10.1186/s12882-017-0537-2
    BACKGROUND: Pre-produced bicarbonate concentrates (PPC) are still widely used in developing countries despite its cost and risk but Central Concentrate System (CCS) is lacking in data to support its wider adoption.

    METHODS: We conducted an 8-week randomized crossover study on 16 Hemodialysis machines to compare CCS versus PPC. Performance is assessed by solute concentrations while safety is assessed by microbial count, endotoxin level and adverse event reporting.

    RESULTS: Microbial counts and endotoxin levels were monitored on 48 occasions during the 8-week study for the CCS arm of the study. The levels were all below the action limit during the study. No patient reported any adverse events. Dialysate Sodium, Chloride and Bicarbonate concentrations were measured on a total of 128 occasions for each arm of the study. The relative deviations of Sodium, Chloride and Bicarbonate concentration were within ±5% of their nominal values for both. The 95% Confidence Intervals for the ratio of the mean solute concentrations on the CCS to PPC lie within the tolerance limit of ±5%.

    CONCLUSION: Modern CCS is bacteriologically safe and its performance statistically equivalent to PPC.

  4. Koh KH, Wong HS, Go KW, Morad Z
    Perit Dial Int, 2010 06 30;31(5):574-82.
    PMID: 20592100 DOI: 10.3747/pdi.2009.00140
    BACKGROUND: While phase angle of bioimpedance analysis (BIA) has great survival-predicting value in dialysis populations, it is known to be higher in male than in female subjects. In this study, we aimed to explore the factors influencing the predictive value of phase angle and to identify the appropriate physics terms for normalizing capacitance (C) and resistance (R).

    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.

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