Development and validation of a Diabetes Risk Score for screening undiagnosed diabetes in Sri Lanka (SLDRISK)

Abstract

BackgroundScreening for undiagnosed diabetes is not widely undertaken due to the high costs and invasiveness of blood sampling. Simple non-invasive tools to identify high risk individuals can facilitate screening. The main objectives of this study are to develop and validate a risk score for screening undiagnosed diabetes among Sri Lankan adults and to compare its performance with the Cambridge Risk Score (CRS), the Indian Diabetes Risk Score (IDRS) and three other Asian risk scores.MethodsData were available from a representative sample of 4276 adults without diagnosed diabetes. In a jack-knife approach two thirds of the sample was used for the development of the risk score and the remainder for the validation. Age, waist circumference, BMI, hypertension, balanitis or vulvitis, family history of diabetes, gestational diabetes, physical activity and osmotic symptoms were significantly associated with undiagnosed diabetes (age most to osmotic symptoms least). Individual scores were generated for these factors using the beta coefficient values obtained in multiple logistic regression. A cut-off value of sum = 31 was determined by ROC curve analysis.ResultsThe area under the ROC curve of the risk score for prevalent diabetes was 0.78 (CI 0.73–0.82). In the sample 36.3 % were above the cut-off of 31. A risk score above 31 gave a sensitivity, specificity, positive predictive value and negative predictive value of 77.9, 65.6, 9.4 and 98.3 % respectively. For Sri Lankans the AUC for the CRS and IDRS were 0.72 and 0.66 repectively.ConclusionsThis simple non-invasive screening tool can identify 80 % of undiagnosed diabetes by selecting 40 % of Sri Lankan adults for confirmatory blood investigations.

Cardiometabolic risk prediction algorithms for young people with psychosis: a systematic review and exploratory analysis

“…The literature search returned 7744 results after removing duplicates. We reviewed 362 full texts, of which 110 studies met inclusion criteria (28‐30, 33‐138). See Fig.…”

Undiagnosed Diabetes Prediction With Development of Scoring System Based on Risk Factors

“…Skor risiko merupakan alat yang tidak mahal, sederhana dan dapat digunakan oleh masyarakat awam serta memotivasi individu dengan nilai risiko tinggi untuk melakukan pemeriksaan [5], [6]. Skor risiko tersebut digunakan sebagai skrining awal untuk mengetahui kemungkinan individu dengan risiko tinggi diabetes tidak terdiagnosis, dengan cara koefisien β dikali 10 pembulatan ke nilai terdekat atau koefisien β dibagi dengan koefisien β terkecil [7], [8] Setelah mendapatkan prediktor utama maka nilai koefisioen β di ubah menjadi skor risiko [10]- [12]. Hal itu pula yang dilakukan pada penelitian ini dengan membuat dua buah model dengan dan tanpa pemeriksaan kimia klinis.…”

Do descendants of families contribute to type 2 diabetes mellitus?

“…Without screening, more any risk with risk undiagnosed T2DM [7] Screening for descendants of patient T2DM is not widely undertaken due to the high costs and did not have care health [8]. Screening is an asymptomatic test to classify a person for their likelihood of having a particular disease [7].…”