MATERIALS AND METHODS: This is a cross-sectional study of patients referred for 99mTc-DTPA scan at the Nuclear Medicine Centre of International Islamic University Malaysia. The record was taken from patients visiting the centre from January 2016 to December 2019.

RESULTS: The mean measured GFR by 99mTc-DTPA scan was 42.2 ± 20.38 ml/min. These were lower than that estimated by CG, MDRD, and CKD-EPI equations. CKD-EPI had the highest correlation of 0.72, least bias (mean bias of 11.08 ± 23.08) and was more precise (r2 = 0.4) as compared to MDRD and CG. In patients < 65 years old, CKD-EPI had the highest correlation; however, MDRD had the least bias and highest accuracy. In terms of BMI, CKD-EPI had the least bias and highest accuracy for BMI >30 and with the highest correlation for all classes of BMI.

Methods: One hundred and fifty hard-working agricultural farmers from high-prevalence area for CKDu (Madawachchiya) were screened three times for proteinuria; 66 proteinuric and 21 non-proteinuric were identified as the baseline classification. Selected individuals were analysed further for creatinine, protein and cystatin C in urine and creatinine, cystatin C in serum. Urine protein-to-creatinine ratio (UP/UC) was calculated.

Results: Based on creatinine and cystatin C cut-off levels in serum, individuals were classified as high or normal. Diagnosis of two functional markers (creatinine and cystatin C) were evaluated using receiver operating characteristic (ROC) curve and in terms of sensitivity and specificity using UP/UC as the baseline. Creatinine and cystatin C-based eGFR (estimated Glomerular filtration rate) levels were calculated, and Pearson's correlation coefficient was determined between different eGFR measurements using UP/UC. Mean (SD) UP/UC ratio, serum creatinine, and serum cystatin C levels of the proteinuric subjects were 129.0 (18.4) mg/mmol, 1.35 (0.39) mg/dL, 1.69 (0.58) mg/L. For non-proteniuric individuals, the results were found to be 14.4 (2.28), 1.22 (0.40) mg/dL, 0.82 (0.25) mg/L. The ROC analysis showed excellent accuracy in using cystatin C for identifying proteinuric patients than creatinine area under the curve (AUC): 0.9675, P < 0.001). Cut-off points were identified as 1.015 mg/dL for serum creatinine and 0.930mg/L for cystatin C. Furthermore, cystatin C based Hoek formula showed the better correlation (0.635, P < 0.001) with UP/UC compared with creatinine based modification of diet in renal disease (MDRD) formula.

METHODS: We used data from the TREAT Asia HIV Observational Database. Patients were included if they started antiretroviral therapy during or after 2003, had a serum creatinine measurement at antiretroviral therapy initiation (baseline), and had at least 2 follow-up creatinine measurements taken ≥3 months apart. Patients with a baseline estimated glomerular filtration rate (eGFR) ≤60 mL/min/1.73 m2 were excluded. Chronic kidney disease was defined as 2 consecutive eGFR values ≤60 mL/min/1.73 m2 taken ≥3 months apart. Generalized estimating equations were used to identify factors associated with eGFR change. Competing risk regression adjusted for study site, age and sex, and cumulative incidence plots were used to evaluate factors associated with chronic kidney disease (CKD).

RESULTS: Of 2547 patients eligible for this analysis, tenofovir was being used by 703 (27.6%) at baseline. Tenofovir use, high baseline eGFR, advanced HIV disease stage, and low nadir CD4 were associated with a decrease in eGFR during follow-up. Chronic kidney disease occurred at a rate of 3.4 per 1000 patient/years. Factors associated with CKD were tenofovir use, old age, low baseline eGFR, low nadir CD4, and protease inhibitor use.

MATERIALS AND METHODS: The CKD-CHECK (CKD-CHECK EGFR Chart in Kidney disease) is a toolkit that was developed to auto-generate patients' eGFR trend using a line graph, displaying the trend visually over a year. It identifies patients with rapid CKD progression, triggers the doctors to order appropriate tests (proteinuria quantification or renal imaging) and helps in decision making (continued monitoring at primary care level or referral to nephrologist). The toolkit was piloted among medical officers practising in a hospital-based primary care clinic treating patients with eGFR<60ml/min/1.73m2 using an interventional before-after study design from February to May 2022. In the preintervention period, the CKD patients were managed based on standard practice. The doctors then used the CKDCHECK toolkit on the same group of CKD patients during the intervention period. The feasibility and acceptability of the toolkit was assessed at the end of the study period using the Acceptability of Intervention Measure (AIM) and Feasibility of Intervention Measure (FIM) questionnaires. All patients' clinical data and referral rate were collected retrospectively through medical files and electronic data systems. Comparison between the pre- and post-intervention group were analysed using paired t-test and McNemar test, with statistical significance p value of <0.05.

RESULTS: A total of 25 medical officers used the toolkit on 60 CKD patients. The medical officers found the CKD-CHECK toolkit to be highly acceptable and feasible in primary care setting. The baseline characteristics of the patients were a mean age of 72 years old, predominantly females and Chinese ethnicity. Majority of the CKD patients had diabetes mellitus, hypertension and dyslipidemia. The numbers of CKD rapid progressors was similar (26.7% in the preintervention group vs 33.3% in the post-intervention group). There were no significant differences in terms of proteinuria assessment and ultrasound kidney for CKD rapid progressors before and after the intervention. However, a significant number of CKD rapid progressors were referred to nephrologists after the use of CKD-CHECK toolkit (p=0.016).