Predictors of progression of arterial hypertension in patients with type 2 diabetes

Abstract Background Arterial hypertension (aHT) is a common comorbidity in patients with type 2 diabetes (T2D). The aim of the present analysis was to determine which predictors are associated with the progression of aHT in participants with T2D. Methods We analyzed data from the sleep-disordered breathing (SDB) sub-study of the DIACORE study, a prospective cohort study of participants with T2D. Blood pressure values were determined at baseline and after a mean follow-up of 2.7 years in a standardized manner with three repeated measurements at rest. Arterial hypertension was defined as blood pressure ≥140/80 mm Hg. Progression of aHT was defined as systolic blood pressure ≥140 mm Hg at follow-up with a concomitant increase of at least 10 mm Hg. Results Of 1122 participants (41% female, age 66 ± 9 years, body mass index 30.7 ± 5.3 kg/m 2 ), 925 had pre-existing aHT at baseline. At follow-up, 280 had aHT with additional progression. Multivariate regression analysis revealed that systolic blood pressure at baseline (odds ratio [95% confidence interval]: 0.984 [0.976;0.993]; p < 0.001) and age (OR [95%CI]: 1.024 [1.002;1.047]; p = 0.015) were associated with progression of aHT, independently of known modulators. Neither SDB nor its treatment were associated with progression of aHT. Conclusion In participants with T2D, lower systolic blood pressure at baseline and age but not SDB were associated with progression of aHT.

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Publication Details

Journal
Somnologie - Schlafforschung und Schlafmedizin
Published
2024-11-08
DOI
https://doi.org/10.1007/s11818-024-00490-3
Primary Topic
Blood Pressure and Hypertension Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Predictors of progression of arterial hypertension in patients with type 2 diabetes

Lukasz Kmiec, Michael Arzt, Tabea Zagorski, Klaus Stark et al.
Somnologie - Schlafforschung und Schlafmedizin
Blood Pressure and Hypertension Studies
article

Predictors of progression of arterial hypertension in patients with type 2 diabetes

Lukasz Kmiec, Michael Arzt, Tabea Zagorski, Klaus Stark, Sarah Driendl, Stefan Stadler
article en

Abstract

Abstract Background Arterial hypertension (aHT) is a common comorbidity in patients with type 2 diabetes (T2D). The aim of the present analysis was to determine which predictors are associated with the progression of aHT in participants with T2D. Methods We analyzed data from the sleep-disordered breathing (SDB) sub-study of the DIACORE study, a prospective cohort study of participants with T2D. Blood pressure values were determined at baseline and after a mean follow-up of 2.7 years in a standardized manner with three repeated measurements at rest. Arterial hypertension was defined as blood pressure ≥140/80 mm Hg. Progression of aHT was defined as systolic blood pressure ≥140 mm Hg at follow-up with a concomitant increase of at least 10 mm Hg. Results Of 1122 participants (41% female, age 66 ± 9 years, body mass index 30.7 ± 5.3 kg/m 2 ), 925 had pre-existing aHT at baseline. At follow-up, 280 had aHT with additional progression. Multivariate regression analysis revealed that systolic blood pressure at baseline (odds ratio [95% confidence interval]: 0.984 [0.976;0.993]; p < 0.001) and age (OR [95%CI]: 1.024 [1.002;1.047]; p = 0.015) were associated with progression of aHT, independently of known modulators. Neither SDB nor its treatment were associated with progression of aHT. Conclusion In participants with T2D, lower systolic blood pressure at baseline and age but not SDB were associated with progression of aHT.

Somnologie - Schlafforschung und Schlafmedizin
University Hospital Regensburg (DE), University of Regensburg (DE)
ResMed, Bundesministerium für Bildung und Forschung, Universitätsklinikum Regensburg
Good health and well-being
Openalex Percentile: Top 64%
Blood Pressure and Hypertension Studies
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Predictors of progression of arterial hypertension in patients with type 2 diabetes — Lukasz Kmiec, Michael Arzt, et al. · Somnologie - Schlafforschung und Schlafmedizin (2024) | TGRS Research Map | TGRS