ArticleMedicine and pharmacy reports2024
The biomarkers associated with non-dipper pattern in patients with type 2 diabetes with 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 1 paper.
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Who cites it
1 citing paper in PubMed.
- Association Between Metabolic and Atherogenic Indices and Circadian Blood Pressure Patterns in White-Coat Hypertension.Medicina (Kaunas, Lithuania) · 2026Article
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4 authors.
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Abstract
Background and aims: The non-dipper pattern is present in about 50 percent of patients with type 2 diabetes (T2D) and hypertension, a status associated with more frequent cardiovascular complications and restrained prognosis. This study aimed to identify simple biomarkers that can be used for the classification of dipper and non-dipper individuals with type 2 diabetes and hypertension. Method: 138 consecutive patients with type 2 diabetes mellitus (DM) and hypertension underwent 24-hour ambulatory blood pressure monitoring (ABPM), 54 (39.1%) dippers and 84 (60.9%) non-dippers; CBC and determinations of different biomarkers, as well as their ratio was also performed, for comparing the two dipper profiles. The different dipper profiles were established by ABPM, which highlights the mean arterial pressure (MAP), the mean heart rate (MHR), and the mean pulse pressure (MPP). The area under the receiver operating characteristic curve (AUC) was used to evaluate the ability of biomarkers to differentiate dippers from non-dippers. Results: The study included 54 dipper and 84 non-dipper patients. The median age was 64 years (interquartile range 58-74), ranging from 24 to 85 years. The comparison between dipper and non-dipper in patients with type 2 diabetes and hypertension concerning different biomarkers found only two that were statistically significant: triglycerides to hemoglobin A1c (HbA1c) ratio and triglycerides to glucose ratio. For both biomarkers, the dippers had higher values than non-dippers. The best AUCs were found for triglycerides (Trig) to glucose ratio of 0.774 (95% confidence interval 0.601 - 0.92), statistically significant, followed at a distance by lymphocytes, platelets-lymphocytes ratio (PLR), platelet distribution width (PDW-SD), mean platelet volume (MPV) /Lymphocytes, and others, none of them being statistically significant. Conclusions: This study offers valuable insights into the classification of dipper and non-dipper individuals with type 2 diabetes and hypertension using several biomarkers. Notably, the triglyceride-to-glucose ratio appeared as a significant marker with considerable discriminative capacity, indicating its potential therapeutic value in risk stratification and personalized treatment strategies.
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