Pre-diabetes in a real-world endocrine/diabetes clinic registry in Najaf, Iraq: a retrospective registry-based analysis

Abstract Prediabetes is a high-risk dysglycemic state. We used a real-world endocrine/diabetes clinic registry from Najaf, Iraq to characterize patients labeled as having pre-diabetes and to explore factors associated with follow-up engagement. We identified prediabetes visits using keyword-based case finding (English and Arabic terms including prediabetes/pre-diabetes, IFG, IGT, and impaired fasting glucose/tolerance) across semi-structured registry fields. Visit-level data were collapsed to patient-level records. Binary indicators of hypertension, dyslipidemia/statin use, obesity/weight management, smoking, and common glucose-lowering therapies were derived from registry text using keyword/brand-name matching. The primary outcome was follow-up engagement defined as ≥2 recorded visits. The prediabetes subset comprised 242 unique patients and 302 visits. Median age was 45 years (IQR 35–55); 47 patients (19.4%) had ≥2 visits. Median follow-up duration was 0 days (maximum 321). Obesity/weight-management indicators were frequent (71.1%), as were hypertension (43.4%) and dyslipidemia/statin indicators (46.3%). In multivariable logistic regression, no evaluated predictor reached conventional statistical significance for follow-up engagement. Registry enhancements to capture laboratory confirmation and standardized follow-up fields may improve the ability to evaluate diabetes prevention pathways.