WHO GETS SCREENED? PATTERNS AND PREDICTORS OF CHRONIC KIDNEY DISEASE SCREENING IN SRI LANKA – A MULTICENTER STUDY

 

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WHO GETS SCREENED? PATTERNS AND PREDICTORS OF CHRONIC KIDNEY DISEASE SCREENING IN SRI LANKA – A MULTICENTER STUDY

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RA
Abeysekera
RA Abeysekera rajithaasa55@gmail.com Faculty of Medicine, University of Peradeniya, Sri Lanka Center for Education Research Training in Kidney Disease Peradeniya Sri Lanka *
KMSP Bandara sumudupbandara@gmail.com Faculty of Medicine, University of Peradeniya, Sri Lanka Center for Education Research Training in Kidney Disease Peradeniya Sri Lanka -
TD Karunatilake thisari97@gmail.com Faculty of Medicine, University of Peradeniya, Sri Lanka Department of Medicine Peradeniya Sri Lanka -
KMC Wijerathna maheshicha@gmail.com Faculty of Medicine, University of Peradeniya, Sri Lanka Center for Education Research Training in Kidney Disease Peradeniya Sri Lanka -
SN Palliyaguru snpalliyaguruge96@gmail.com Faculty of Medicine, University of Peradeniya Center for Education Research Training in Kidney Disease Peradeniya Sri Lanka -
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A significant burden of the patients with chronic kidney disease (CKD) is detected in non-nephrology medical settings. Early detection of CKD through screening, especially in primary care health settings is extremely important for better outcomes. However, CKD screening, even among high-risk individuals (e.g. diabetes, hypertension) remains sub-optimal. This study aims to study patterns of CKD screening and associated factors in non-nephrology medical settings in Sri Lanka. 

A cross-sectional, observational study with systematic sampling was conducted from February to August 2025 in general medical outpatient clinics of seven categories of hospitals in the Central province, which represented all levels of healthcare institutions in Sri Lanka. These are categorized based on availability of facilities and in a hierarchical order include from lowest to highest : Divisional Hospital with no laboratory facilities (DH), Divisional Hospital with laboratory facilities (DHL), Base Hospital-type A (BHA), Base Hospital-type B(BHB), District General Hospital (DGH), Teaching Hospital (TH) and National Hospital (NH) being the highest level. One representative hospital from each category was selected. Adult patients ≥18 years, who had indications for CKD screening were included. CKD screening was considered as having at least one urine protein/albumin evaluation and/or serum creatinine within the last 1 year of follow-up. 

A total of 2,727 participants were studied (Table 1). Screening for CKD had been conducted in 65.4% (n=1784). Multiple logistic regression identified category of hospital, income level, education level, and presence of diabetes mellitus as factors significantly associated with CKD screening.

DH and DHL category of hospitals (primary care hospitals) had the lowest rates for CKD screening with only 19.2% and 41.2% being screened respectively. All other category of hospitals had the majority of patients (>65%) being screened. Compared to DHL, patients attending all other categories of hospitals had significantly higher odds of being screened for CKD. Participants with a monthly income above Rs. 50,000 were 2.6 times more likely to be screened compared to dependents without income. Education was also positively associated with CKD screening, with OR of 1.7, 1.6, and 6.8 for those with secondary, advanced-level, and higher education respectively, compared to individuals with no education. Participants with diabetes mellitus had a 2.3 fold higher odds of being screened compared to non-diabetic individuals.  

No significant associations were observed between being screened for CKD and sex, age category, ethnicity, marital status, occupation, distance from hospital, hypertension, or ischemic heart disease.

Table 1. Demographic characteristics of participants by screening status

This is the first study of its kind in Sri Lanka evaluating screening patterns of CKD in Sri Lanka. Screening was significantly lower in primary care hospitals (DH, DHL) which are the frontline hospitals caring for these high risk patients requiring high screening rates. Higher income, better education, and having diabetes had higher chance of getting screening for CKD. These findings highlight the socioeconomic disparities and the need for strengthening infrastructure of primary care level, establishing standardized screening protocols, and improving public awareness of CKD screening.

Kewords