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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Cardiovascular risk factors such as high glucose, LDL-cholesterol, blood pressure, and impaired kidney function are particularly frequent in old-aged individuals. However, population-based data on the extent of cardiovascular risk factor control in the old-aged population is limited. AugUR is a cohort of the mobile “70+”-year-old population of/near Regensburg, recruited via population registries. We conducted cross-sectional analyses assessing the proportion of AugUR participants with LDL-cholesterol, HbA1c, or blood pressure beyond recommended levels and their association with impaired creatinine- and cystatin-based estimated glomerular filtration rate (eGFR, <60 mL/min/1.73 m2) or urine albumin–creatinine ratio (UACR, ≥30 mg/g). Among 2215 AugUR participants, 74.7% were taking lipid-, glucose-, blood-pressure-lowering, or diuretic medication. High LDL-cholesterol at ≥116 mg/dL was observed for 76.1% (51.1% among those with prior cardiovascular events). We found HbA1c ≥ 7.0% for 6.3%, and high or low systolic blood pressure for 6.8% or 26.5%, respectively (≥160, <120 mmHg). Logistic regression revealed (i) high HbA1c levels associated with increased risk for impaired kidney function among those untreated, (ii) high blood pressure with increased UACR, and (iii) low blood pressure with impaired eGFR, which was confined to individuals taking diuretics. Our results provide important insights into cardiovascular risk factor control in individuals aged 70–95 years, which are understudied in most population-based studies.

Details

Title
Cardiovascular Risk Factor Control in 70- to 95-Year-Old Individuals: Cross-Sectional Results from the Population-Based AugUR Study
Author
Donhauser, Ferdinand J 1 ; Zimmermann, Martina E 1   VIAFID ORCID Logo  ; Steinkirchner, Anna B 1 ; Wiegrebe, Simon 2 ; Dietl, Alexander 3 ; Brandl, Caroline 4   VIAFID ORCID Logo  ; Burkhardt, Ralph 5   VIAFID ORCID Logo  ; Gessner, André 6 ; Schweda, Frank 7 ; Bergler, Tobias 8 ; Schäffner, Elke 9   VIAFID ORCID Logo  ; Böger, Carsten A 10 ; Kronenberg, Florian 11   VIAFID ORCID Logo  ; Luchner, Andreas 12 ; Stark, Klaus J 1 ; Heid, Iris M 1   VIAFID ORCID Logo 

 Department of Genetic Epidemiology, University of Regensburg, 93053 Regensburg, Germany 
 Department of Genetic Epidemiology, University of Regensburg, 93053 Regensburg, Germany; Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, 80539 Munich, Germany 
 Department of Internal Medicine II, University Hospital Regensburg, 93053 Regensburg, Germany 
 Department of Genetic Epidemiology, University of Regensburg, 93053 Regensburg, Germany; Department of Ophthalmology, University Hospital Regensburg, 93053 Regensburg, Germany 
 Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Regensburg, 93053 Regensburg, Germany 
 Institute of Clinical Microbiology and Hygiene, University Hospital Regensburg, 93053 Regensburg, Germany 
 Institute of Physiology, University of Regensburg, 93053 Regensburg, Germany 
 Department of Nephrology, University Hospital Regensburg, 93053 Regensburg, Germany 
 Institute of Public Health, Charité Universitätsmedizin Berlin, 10117 Berlin, Germany 
10  Department of Nephrology, University Hospital Regensburg, 93053 Regensburg, Germany; Department of Nephrology, Hospital Traunstein, 83278 Traunstein, Germany 
11  Institute of Genetic Epidemiology, Medical University of Innsbruck, 6020 Innsbruck, Austria 
12  Department of Cardiology, Hospital Barmherzige Brüder Regensburg, 93049 Regensburg, Germany 
First page
2102
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
20770383
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2791652276
Copyright
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.