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Background: Despite effective treatments, blood pressure (BP) control remains suboptimal. Objective: The SIMPLIFY study aimed at identifying key factors related to therapeutic inertia in Belgium and Luxembourg, and evaluating how uncontrolled treated hypertension is managed in primary care. Methods: In a 2017 cross-sectional survey, 245 general practitioners (GP) collected routine clinical data from 1,852 consecutive uncontrolled (Office SBP/DBP ≥ 140/90 mmHg) hypertensive adult patients taking at least one antihypertensive drug. Results: Patients were 64 years old on average, 48% were women, 61% had dyslipidemia, 33% had diabetes mellitus and 22% had established cardiovascular disease. Half of the patients had 2 or more comorbidities. Patients had been treated for hypertension for an average period of 8 years, 40% of patients were in hypertensive stages 2–3, 44% were treated with monotherapy only, 28% with free combinations and 28% with at least one single pill combination (SPC). Therapeutic adherence was rated as 'good' in 62% of patients. AHT treatment was modified in 84% of patients. In the group of patients with stage 2–3 hypertension, treatment remained unchanged in 5%. In the group of patients with stage 1 hypertension, treatment remained unchanged in 23% of patients. Patients treated for longer than 10 years were less likely to undergo treatment change (81%) compared to patients treated for less than 10 years (87%). Patients with 1 or 2 comorbidities were more likely to have their treatment modified (87%) compared to those with no comorbidities (61%) and those with ≥ 3 comorbidities (79%). If treatment was modified, a SPC was introduced in 90% of cases; 91% in stage 1–2 hypertension and 84% in stage 3 hypertension. SPCs were less frequently initiated in patients without comorbidities. Main reasons for the GPs to switch from a free association towards SPC were 'better BP control' (55%), 'better therapeutic compliance' (53%) and 'simplicity for the patient' (50%). Conclusion: The SIMPLIFY study confirms therapeutic inertia in hypertension management. After an average of 8 years hypertension treatment, almost 1 in 2 uncontrolled treated patients are on monotherapy. The key inertia drivers seem to be age, mild grade hypertension, isolated systolic hypertension, longer duration of antihypertensive treatment and better therapeutic adherence. When treatment is updated by the GP, the currently preferred strategy is switching towards SPC based therapy to improve BP control, and enhance therapeutic compliance by simplifying treatment for the patient. Trial registration: pharma.be visa number: VI 17/01/20/01 ISRCTN registered study: ISRCTN16199080. [ABSTRACT FROM AUTHOR]

Background The efficiency of traditional anthropometric measurements such as body mass index ( BMI) or waist circumference (Waist C) used to replace biomedical imaging for assessing visceral adipose tissue ( VAT) is still highly controversial in youth. Hypothesis and Objectives We evaluated the most accurate model predicting VAT in overweight/obese youth, using various anthropometric measurements and their correlation with different body fat compartments, especially by testing, for the first time in youth, the hypothesis that subtracting the anthropometric measurement the most highly correlated with subcutaneous abdominal adipose tissue ( SAAT) and less correlated possible with VAT from an anthropometric abdominal measurement highly correlated with visceral and total abdominal adipose tissue ( TAAT), predicts VAT with higher accuracy. Subjects and Methods VAT and SAAT data resulted from magnetic resonance imaging ( MRI) analysis performed on 181 boys and girls (7-17 y) from Diabetes & Endocrinology Care Paediatrics Clinic in Luxembourg. Height, weight, abdominal diameters, waist, hip, and thigh circumferences were measured with a view to developing the anthropometric VAT predictive algorithms. Results In girls, subtracting proximal thigh circumference (Proximal Thigh C), the most closely correlated anthropometric measurement with SAAT, from Waist C, the most closely correlated anthropometric measurement with VAT was instrumental in improving VAT prediction, in comparison with the most accurate single VAT anthropometric surrogate. [ABSTRACT FROM AUTHOR]