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  1. Mohd Tahir NA, Mohd Saffian S, Islahudin FH, Abdul Gafor AH, Makmor-Bakry M
    J Korean Med Sci, 2020 Sep 21;35(37):e306.
    PMID: 32959542 DOI: 10.3346/jkms.2020.35.e306
    BACKGROUND: The objective of this study was to compare the performance of cystatin C- and creatinine-based estimated glomerular filtration rate (eGFR) equations in predicting the clearance of vancomycin.

    METHODS: MEDLINE and Embase databases were searched from inception up to September 2019 to identify all studies that compared the predictive performance of cystatin C- and/or creatinine-based eGFR in predicting the clearance of vancomycin. The prediction errors (PEs) (the value of eGFR equations minus vancomycin clearance) were quantified for each equation and were pooled using a random-effects model. The root mean squared errors were also quantified to provide a metric for imprecision.

    RESULTS: This meta-analysis included evaluations of seven different cystatin C- and creatinine-based eGFR equations in total from 26 studies and 1,234 patients. The mean PE (MPE) for cystatin C-based eGFR was 4.378 mL min-1 (95% confidence interval [CI], -29.425, 38.181), while the creatinine-based eGFR provided an MPE of 27.617 mL min-1 (95% CI, 8.675, 46.560) in predicting clearance of vancomycin. This indicates the presence of unbiased results in vancomycin clearance prediction by the cystatin C-based eGFR equations. Meanwhile, creatinine-based eGFR equations demonstrated a statistically significant positive bias in vancomycin clearance prediction.

    CONCLUSION: Cystatin C-based eGFR equations are better than creatinine-based eGFR equations in predicting the clearance of vancomycin. This suggests that utilising cystatin C-based eGFR equations could result in better accuracy and precision to predict vancomycin pharmacokinetic parameters.

  2. Lee JL, Mohamed Shah N, Makmor-Bakry M, Islahudin FH, Alias H, Noh LM, et al.
    J Clin Immunol, 2020 07;40(5):682-698.
    PMID: 32417999 DOI: 10.1007/s10875-020-00788-5
    PURPOSE: We conducted a systematic review and meta-regression analysis to evaluate the impact of increasing immunoglobulin G (IgG) trough levels on the clinical outcomes in patients with PID receiving intravenous immunoglobulin G (IVIG) treatment.

    METHODS: Systematic search was conducted in PubMed and Cochrane. Other relevant articles were searched by reviewing the references of the reviewed article. All clinical trials with documented IgG trough levels and clinical outcome of interest in patients receiving IVIG treatment were eligible to be included in this review. Meta-regression analysis was conducted using Comprehensive Meta-analysis Software. Additional sensitivity analyses were undertaken to evaluate the robustness of the overall results.

    RESULTS: Twenty-eight clinical studies with 1218 patients reported from year 2001 to 2018 were included. The mean IVIG dose used ranges from 387 to 560 mg/kg every 3 to 4 weekly, and mean IgG trough obtained ranges from 660 to 1280 mg/dL. Random-effects meta-regression slope shows that IgG trough level increases significantly by 73 mg/dL with every increase of 100 mg/kg dose of IVIG (p 

  3. Mohd Tahir NA, Mohd Saffian S, Islahudin FH, Abdul Gafor AH, Othman H, Abdul Manan H, et al.
    Nephron, 2020;144(4):204-212.
    PMID: 32050196 DOI: 10.1159/000505296
    BACKGROUND/AIMS: G73A polymorphism in the CST3 gene of cystatin C has been associated with Alzheimer's disease, age-related macular degeneration, and cardiovascular disease. However, studies investigating the influence of this genetic variability on serum cystatin C and cystatin-based renal function estimate are limited. Therefore, the aim of this study is to investigate the possible association of single-nucleotide polymorphism (rs1064039) of the CST3 gene on the serum cystatin C level and cystatin C-based estimated glomerular filtration rate (eGFR).

    METHODS: Study subjects include patients with various levels of renal function recruited from the nephrology clinic and wards of a tertiary hospital. The blood samples collected were analyzed for serum cystatin C and creatinine levels by particle-enhanced turbidimetric immunoassay and kinetic alkaline picrate method, respectively. DNA was extracted using a commercially available kit. -Polymerase chain reaction results were confirmed by direct DNA Sanger sequencing.

    RESULTS: The genotype percentage (G/G = 73%, G/A = 24.1%, and A/A = 2.9%) adhere to the Hardy-Weinberg equilibrium. The dominant allele found in our population was CST3 73G allele (85%). The regression lines' slope of serum cystatin C against creatinine and cystatin C-based eGFR against creatinine-based eGFR, between G and A allele groups, showed a statistically significant difference (z-score = 3.457, p < 0.001 and z-score = 2.158, p = 0.015, respectively). Patients with A allele had a lower serum cystatin C level when the values were extrapolated at a fixed serum creatinine value, suggesting the influence of genetic factor.

    CONCLUSION: Presence of CST3 gene G73A polymorphism affects serum cystatin C levels.

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