RESUMO
The increase in blood pressure (BP) during somatic growth might have direct determinants but also mediating factors. We investigated whether uric acid (UA) and other metabolic factors would mediate the association between body composition components and BP. A cross-sectional study was conducted in 928 children and adolescents (aged 6-18 years), in which body composition and blood biochemistry were evaluated. Structural equation modeling was performed to test the direct and indirect pathways between systolic blood pressure (SBP) and body composition parameters. Muscle mass (MM) showed a strong direct effect on BP, regardless of sex. In girls, a mediating pathway through UA was not significant, but the association between fat mass (FM) and MM with SBP was mediated by the cluster of metabolic factors. In boys, both MM and FM were associated with SBP through a mediating pathway via UA, but not via the cluster of metabolic factors. The association between body composition and BP in children and adolescents has a complex design and also has a sex-specific mediating component. The increase in the UA levels may affect BP levels early in boys. Also, metabolic changes elicited by FM contribute to the increase in BP at an early age in girls. Novelty: MM showed a strong direct effect on BP, regardless of sex. In girls, the association between FM and MM with SBP was mediated by the cluster of metabolic factors. In boys, both MM and FM were associated with SBP through a mediating pathway via UA.
RESUMO
OBJECTIVES: Achieving glycated hemoglobin (A1C) and blood pressure targets is an important strategy for preventing chronic vascular complications in diabetes. Our aim in this study was to determine the proportion of type 2 diabetes patients who meet the recommended A1C and arterial blood pressure targets and to identify the determinants of failure to do so. METHODS: A cross-sectional study was conducted in an outpatient endocrine clinic at a university hospital. The A1C goal was 7% in general and 8% for patients with advanced chronic complications. Regarding blood pressure, the overall expected target was 140/90 mmHg. RESULTS: A total of 602 type 2 diabetes patients were analyzed: 62% were female, 14% self-reported as black, mean age was 63±11 years, mean diabetes duration was 17±9 years and median A1C was 8.0% (interquartile range, 7.0% to 9.5%). Macrovascular disease was present in 33% of the patients, diabetic retinopathy in 47%, peripheral neuropathy in 43% and diabetic kidney disease in 56%. Regarding metabolic control, 403 (67%) patients were not at the adjusted target A1C level, and being female, black, young and an insulin user were the main determinants of poor glycemic control. Regarding blood pressure, 348 (58%) patients were not at the recommended targets, and a more advanced age was the main associated factor. CONCLUSIONS: Because more than half of type 2 diabetes outpatients do not meet the recommended A1C and blood pressure target values, there is a major call to overcome the therapeutic inertia and target treatment of patients on an individual basis.
Assuntos
Pressão Sanguínea/fisiologia , Diabetes Mellitus Tipo 2/terapia , Hemoglobinas Glicadas/análise , Adulto , Idoso , Estudos Transversais , Diabetes Mellitus Tipo 2/sangue , Diabetes Mellitus Tipo 2/fisiopatologia , Feminino , Humanos , Masculino , Pessoa de Meia-IdadeRESUMO
BACKGROUND AND PURPOSE: In Guadeloupe, data on the relationships between arterial hypertension and obstructive sleep apnea are unavailable. The aim of this study was: to assess the frequency of hypertension and non-dipper pattern evaluated by 48-hour ambulatory blood pressure monitoring in an adult population identified obstructive sleep apnea/non-obstructive sleep apnea during overnight polygraphy ; to determine the cardio-metabolic factors associated with obstructive sleep apnea. DESIGN AND METHOD: A cross-sectional study was realized at Pointe-à-Pitre Hospital. Patients were referred for suspected sleep apnea to sleep specialist and performed a nocturnal polygraphy. Diagnosis was confirmed if the apnea-hypopnea index was ≥ 5. We obtained two groups: sleep apnea/non-sleep apnea. All patients underwent 48-hour ambulatory blood pressure monitoring. The cardio-metabolic factors were identified and assessed (fasten level of hs-CRP and Homa-IR index). RESULTS: A total of 204 patients were included. Mean age at diagnosis was 54 ± 10 years, 63% were women. OSA was present in 69.6% with a higher frequency in men than in women. Difference was not significant between the two groups for hypertension frequency (84.5% vs 77%; P=0.22), non-dipper pattern (77.5% vs 76%; P=0.79) and hs-CRP. Differences for age, snoring, body max index, mean waist circumference, Homa-IR index, obesity, dyslipidemia, and type 2 diabetes were significant. CONCLUSIONS: Our data highlight raised frequency of cardiovascular metabolic factors in patients with obstructive sleep apnea and confirm their high cardiovascular risk.