ArticleMedicine and pharmacy reports2024
The predictive risk factors associated with non-dipper profile in patients with type 2 diabetes and hypertension.
Article in Medicine and pharmacy reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- The comparison of cardiac and body morphometry in patients with non-dipper and reverse-dipper hypertension: a retrospective cross-sectional study.BMC cardiovascular disorders · 2026Article
- Disrupted renal clock and blood pressure rhythms in type 2 diabetic nephropathy.Clinical science (London, England : 1979) · 2026Article
- Association Between the Aggregate Index of Systemic Inflammation and Non-Dipper Blood Pressure Pattern in Hypertensive Patients with Type 2 Diabetes Mellitus.Journal of inflammation research · 2026Article
- Non-Dipping Pattern Is Associated with Periprocedural Myocardial Infarction in Hypertensive Patients Undergoing Elective Percutaneous Coronary Intervention.Medicina (Kaunas, Lithuania) · 2025Observational
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Abstract
Background and aims: The non-dipper status represented by blood pressure reduction by less than 10 percent during sleep is present in about 50 percent of patients with type 2 diabetes (T2D) and hypertension, a pattern associated with more frequent cardiovascular complications and reserved prognosis. This study analyzed the predictive risk factors associated with the different dipper profiles, especially with the nocturnal pattern, following the mean arterial pressure (MAP), the mean heart rate (MHR), and the mean pulse pressure (MPP) in patients with T2D and hypertension, established by ambulatory blood pressure monitoring (ABPM). Method: 166 consecutive patients with type 2 diabetes mellitus and hypertension were included in a cross-sectional study, and they underwent 24-hour ABPM. We excluded patients with secondary hypertension, acute coronary disease and heart failure, with oncologic or endocrine disease. The simple and multiple linear regression models were performed predicting 24-hour, day and night MAP, MHR, and MPP according to various predictors, using software R version 4.3.1. Results: There were 80 non-dippers (48.20%), 57 dippers (34.34%), 22 reverse-dippers (13.25%) and seven extreme-dippers (4.21%). A statistically significant association was observed between MAP 24-hour and total cholesterol (TC) (higher TC values were associated with higher MAP /24 h values): adjusted coefficient B of the regression slope: 0.09, 95% confidence interval CI (0.04-0.15), p=0.003. In the multivariate analysis: adjusted B: 8.64, 95% CI (-14.67-2.61), p=0.006, beta-blockers reached the threshold of statistical significance in relation to MHR/24 h, their presence decreasing the heart rate. PP/24 hours was associated in the multivariate analysis with age: adjusted B: 0.45, 95% CI (0.05-0.85), p=0.28; abdominal circumference: 0.26, 95% CI (0.03-0.49), p=0.028, and total cholesterol: 0.1, 95% CI (0.02-0.17), p=0.013. Diabetic nephropathy was statistically significantly associated with PP/24 h: adjusted B: 10.19, 95% CI (1.24-19.14), p=0.027. Conclusions: High cholesterol was associated with higher values of MAP and PP. Beta-blocker treatment lowered non-dipper MHR. Age and AC were correlated with increased PP values. These are predictive risk factors associated with the status of non-dippers established by ABPM, and they represent a veritable link to the non-dipper pattern in patients with T2D and hypertension.
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