METHODOLOGY: Seven isolates of the C. rugosa complex and one isolate of C. pararugosa were obtained from two tertiary referral hospitals in Malaysia. Their antifungal susceptibilities, biofilm, proteinase, phospholipase, esterase and haemolysin activities were characterized. Biofilms were quantified using crystal violet (CV) and tetrazolium (XTT) reduction assays at 1.5, 6, 18, 24, 48 and 72 h.Results/Key findings. The E-test antifungal tests showed that both species have elevated MICs compared to C. albicans and C. tropicalis. The highest biomass was observed in one of the C. rugosa isolates (0.237), followed by C. pararugosa (0.206) at 18 h of incubation. However, the highest bioactivity was observed in the C. rugosa ATCC 10571 strain at 24 h (0.075), followed by C. pararugosa at 48 h (0.048) and the same C. rugosa strain at 24 h (0.046), with P<0.05. All isolates exhibited high proteinase activity (+++) whereas six isolates showed very strong esterase activity (++++). All the isolates were alpha haemolytic producers. None of the isolates exhibited phospholipase activity.
CONCLUSION: Elevated MICs were shown for the C. rugosa complex and C. pararugosa for commonly used antifungal drugs. Further studies to identify virulence genes involved in the pathogenesis and genes that confer reduced drug susceptibility in these species are proposed.
MATERIALS AND METHODS: A total of 140 patients who had compatible ABO blood type with negative T-cell lymphocytotoxicity crossmatch were included in the study and 25% of them were spousal transplant donors. No remarkable differences in acute rejection rate, graft survival, patient survival and serum creatinine level were observed between the spousal and living-related donor groups.
RESULTS: The spousal donor group had a higher degree of HLA mismatch than the living-related donor group. HLA-A mismatch was associated with increased rejection risk at 6 months (odds ratio [OR], 2.75; P = 0.04), 1 year (OR, 2.54; P = 0.03) and 3 years (OR, 3.69; P = 0.001). It was also observed in the deleterious effects of HLA-B and HLA-DQ loci when the number of antigen mismatches increased. The risk was 7 times higher in patients with ≥1 mismatch at HLA-A, HLA-B and HLA-DR loci than those who did not have a mismatch at these loci at 6 months (P = 0.01), 1 year (P = 0.03) and 3 years (P = 0.003).
CONCLUSION: A good match for HLA-A, HLA-B, HLA-DR and HLA-DQ can prevent acute rejection risk in renal transplant patients. Consequently, spousal donor transplants could be a safe intervention in renal patients.
Methodology: A total of 362 renal allograft protocol biopsies were performed in adult recipients of kidney transplantation between 2012 and 2017. After excluding those with poor quality or those performed with a baseline serum creatinine level >200 umol/L, we analyzed 334 (92.3%) biopsies. Histology reports were reviewed and categorized into histoimmunological and nonimmunological changes. The immunological changes were subcategorized into the following: (1) no acute rejection (NR), (2) borderline changes (BC), and (3) subclinical rejection (SCR). Nonimmunological changes were subcategorized into the following: (1) chronicity including interstitial fibrosis/tubular atrophy (IFTA), chronic T-cell-mediated rejection (TCMR), unspecified chronic lesions, and arterionephrosclerosis, (2) de novo glomerulopathy/recurrence of primary disease (RP), and (3) other clinically unsuspected lesions (acute pyelonephritis, calcineurin inhibitors toxicity, postinfective glomerulonephritis, and BK virus nephropathy). Risk factors associated with SCR were assessed.
Results: For the histoimmunological changes, 161 (48.2%) showed NR, 145 (43.4%) were BC, and 28 (8.4%) were SCR. These clinical events were more pronounced for the first 5 years; our data showed BC accounted for 59 (36.4%), 64 (54.2%), and 22 (40.7%) biopsies within <1 year, 1-5 years, and > 5 years, respectively (p = 0.011). Meanwhile, the incidence for SCR was 6 (3.7%) biopsies in <1 year, 18 (15.3%) in 1-5 years, and 4 (7.4%) in >5 years after transplantation (p=0.003). For the nonimmunological changes, chronicity, de novo glomerulopathy/RP, and other clinically unsuspected lesions were seen in 40 (12%), 10 (3%), and 12 (3.6%) biopsies, respectively. Living-related donor recipients were associated with decreased SCR (p=0.007).
Conclusions: Despite having a stable renal function, our transplant recipients had a significant number of subclinical rejection on renal allograft biopsies.
METHODS: We performed a cross-sectional study on KTRs with functioning renal allograft and at least 3 months post transplant. Dietary protein, salt, and dietary acid load were estimated using 24-hour urine collection. Demographic characteristics, concomitant medications, medical history, and laboratory results were obtained from electronic medical records.
RESULTS: A total of 204 KTRs were recruited with median age of 48 years (interquartile range [IQR], 18 years); male to female ratio was 61:39. A total of 79.9% (n = 163) were living related kidney transplants. The median duration after transplant was 71 months (IQR, 131 months), and median eGFR was 65 mL/min/1.73 m2 (IQR, 25 mL/min/1.73 m2). The prevalence rates of proteinuria (defined as ≥ 0.5 g/d) and metabolic acidosis (defined as at least 2 readings of serum bicarbonate ≤ 22 mmol/L in the past 6 months) were 17.7 % and 6.2%, respectively. High dietary protein of > 1.2 g/kg ideal body weight (adjusted odds ratio, 3.13; 95% CI, 1.35-7.28; P = .008) was significantly associated with proteinuria. Dietary protein, salt, and acid load did not correlate with chronic metabolic acidosis.
CONCLUSIONS: The prevalence rate of proteinuria is consistent with published literature, but metabolic acidosis rate is extremely low in our cohort. High protein intake (> 1.2 g/kg ideal body weight) is a risk factor of proteinuria and may have negative impact on KTR outcome.
OBJECTIVE: We explore the use of CrCl and combined urea and creatinine clearance as an alternative for GFR assessment.
METHODS: A retrospective study involving 81 kidney donors from 2007 to 2020, with mGFR collected by chromium 51-labeled ethylenediaminetetraacetic acid (51Cr-EDTA) and CrCl and combined urea and creatinine clearance. We analyzed the performance of CrCl and combined urea and creatinine clearance against 51Cr-EDTA. Adequacy of urine volume was taken into consideration.
RESULTS: A total of 81 candidates with a mean age of 44.80 ± 10.77 years were enrolled. Mean mGFR from 51Cr-EDTA was 123.66 ± 26.91 mL/min/1.73 m2, and combined urea and creatinine clearance and CrCl were 122.13 ± 47.07 and 133.40 ± 36.32 mL/min/1.73 m2, respectively. CrCl overestimated 51Cr-EDTA. Though combined urea and creatinine clearance had minimal bias, it had a lower correlation coefficient (0.25 vs 0.43), lower precision (49.51 vs 38.10), and slightly lower accuracy within 30% of 51Cr-EDTA (74.07% vs 76.54%).
CONCLUSIONS: Combined urea and creatinine clearance did not improve the performance of CrCl. Nevertheless, it can potentially be used as first-line GFR assessment, followed by mGFR in selected donors, to ascertain threshold of safe kidney donation. A stringent urine collection method is essential to ensure accurate measurement.
METHODS: This is a retrospective, single-centre study comprising 105 living kidney donor candidates from the year 2007 to 2020. By comparing against 51-Chromium ethylenediamine-tetraacetic acid (51Cr-EDTA), we analysed creatinine clearance for correlation, bias, precision and accuracy.
RESULTS: The study group had a mean age of 45.68 ± 10.97 years with a mean serum creatinine of 64.43 ± 17.68 µmol/L and a urine volume of 2.06 ± 0.83 L. Mean measured GFR from 51Cr-EDTA was 124.37 ± 26.83 ml/min/1.73m2 whereas mean creatinine clearance was 132.35 ± 38.18 ml/min/1.73m2. Creatinine clearance overestimated 51Cr-EDTA significantly with a correlation coefficient of 0.48 (p
METHODS: A total of 394 nasopharyngeal swabs were collected prospectively from children age 0-5 years old with ARTIs from hospitals in Kuala Lumpur. Respiratory viral panel (RVP) assay was used to identify the viral aetiology of respiratory infections.
RESULTS: From a total of 394 samples, the positive detection rate was 79.9% (n=315). A total of 15 types of RNA viruses and a single type of DNA virus were detected. Enterovirus/rhinovirus (n=112, 28.4%), respiratory syncytial virus (RSV) (n=85, 21.6%), adenovirus (n=64, 16.2%), human bocavirus (n=34, 8.6%), and human metapneumovirus (n=29, 7.4%) were the five predominant viruses. Enterovirus/rhinovirus and RSV constituted most of the viral respiratory infections among young children, especially among children less than 1 year old. No coronavirus was detected among children between 3 and 5 years old. Co-infection caused by 2 or 3 respiratory viruses were detected in 52 patients (13.2%). Enterovirus/rhinovirus, adenovirus, and human bocavirus demonstrated pronounced seasonality. The infection rate peaked during mid-year, while the lowest activity occurred during early of the year.
CONCLUSIONS: The use of molecular assay as a routine diagnostic in the hospitals can improve the diagnosis and management of respiratory tract infections among children.