Variability in the Control of Type 2 Diabetes in Primary Care and Its Association with Hospital Admissions for Vascular Events. The APNA Study

Type 2 diabetes (T2D) is associated with increased cardiovascular morbidity, mortality, and hospital admissions. This study aimed to analyze how the differences in delivered care (variability of glycosylated hemoglobin (HbA1c) achieved targets) affect hospital admissions for cardiovascular events (C...

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Veröffentlicht in:Journal of clinical medicine 2021-12, Vol.10 (24), p.5854
Hauptverfasser: Guillen-Aguinaga, Sara, Forga, Luis, Brugos-Larumbe, Antonio, Guillen-Grima, Francisco, Guillen-Aguinaga, Laura, Aguinaga-Ontoso, Ines
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container_issue 24
container_start_page 5854
container_title Journal of clinical medicine
container_volume 10
creator Guillen-Aguinaga, Sara
Forga, Luis
Brugos-Larumbe, Antonio
Guillen-Grima, Francisco
Guillen-Aguinaga, Laura
Aguinaga-Ontoso, Ines
description Type 2 diabetes (T2D) is associated with increased cardiovascular morbidity, mortality, and hospital admissions. This study aimed to analyze how the differences in delivered care (variability of glycosylated hemoglobin (HbA1c) achieved targets) affect hospital admissions for cardiovascular events (CVEs) in T2D patients. Methods: We analyzed the electronic records in primary care health centers at Navarra (Spain) and hospital admission for CVEs. We followed 26,435 patients with T2D from 2012 to 2016. The variables collected were age, sex, health center, general practitioner practice (GPP), and income. The clinical variables were diagnosis of T2D, weight, height, body mass index (BMI), blood pressure (BP), HbA1c, low-density lipoprotein cholesterol (LDL-C), smoking, and antecedents of CVEs. We calculated, in each GPP practice, the proportion of patients with HbA1c ≥ 9. A non-hierarchical K-means cluster analysis classified GPPs into two clusters according to the level of compliance with HbA1C ≥ 9% control indicators. We used logistic and Cox regressions. Results: T2D patients had a higher probability of admission for CVEs when they belonged to a GPP in the worst control cluster of HbA1C ≥ 9% (HR = 1.151; 95% CI, 1.032-1.284).
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The APNA Study</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central Open Access</source><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>PubMed Central</source><creator>Guillen-Aguinaga, Sara ; Forga, Luis ; Brugos-Larumbe, Antonio ; Guillen-Grima, Francisco ; Guillen-Aguinaga, Laura ; Aguinaga-Ontoso, Ines</creator><creatorcontrib>Guillen-Aguinaga, Sara ; Forga, Luis ; Brugos-Larumbe, Antonio ; Guillen-Grima, Francisco ; Guillen-Aguinaga, Laura ; Aguinaga-Ontoso, Ines</creatorcontrib><description>Type 2 diabetes (T2D) is associated with increased cardiovascular morbidity, mortality, and hospital admissions. This study aimed to analyze how the differences in delivered care (variability of glycosylated hemoglobin (HbA1c) achieved targets) affect hospital admissions for cardiovascular events (CVEs) in T2D patients. Methods: We analyzed the electronic records in primary care health centers at Navarra (Spain) and hospital admission for CVEs. We followed 26,435 patients with T2D from 2012 to 2016. The variables collected were age, sex, health center, general practitioner practice (GPP), and income. The clinical variables were diagnosis of T2D, weight, height, body mass index (BMI), blood pressure (BP), HbA1c, low-density lipoprotein cholesterol (LDL-C), smoking, and antecedents of CVEs. We calculated, in each GPP practice, the proportion of patients with HbA1c ≥ 9. A non-hierarchical K-means cluster analysis classified GPPs into two clusters according to the level of compliance with HbA1C ≥ 9% control indicators. We used logistic and Cox regressions. Results: T2D patients had a higher probability of admission for CVEs when they belonged to a GPP in the worst control cluster of HbA1C ≥ 9% (HR = 1.151; 95% CI, 1.032-1.284).</description><identifier>ISSN: 2077-0383</identifier><identifier>EISSN: 2077-0383</identifier><identifier>DOI: 10.3390/jcm10245854</identifier><identifier>PMID: 34945149</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Age ; Body mass index ; Clinical medicine ; Cluster analysis ; Compliance ; Diabetes ; Disease prevention ; Family physicians ; Health facilities ; Hospitals ; Low income groups ; Medical records ; Medical referrals ; Mortality ; Obesity ; Patient admissions ; Population ; Primary care ; Risk factors ; Socioeconomic factors ; Software</subject><ispartof>Journal of clinical medicine, 2021-12, Vol.10 (24), p.5854</ispartof><rights>2021 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/). 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The APNA Study</title><title>Journal of clinical medicine</title><addtitle>J Clin Med</addtitle><description>Type 2 diabetes (T2D) is associated with increased cardiovascular morbidity, mortality, and hospital admissions. This study aimed to analyze how the differences in delivered care (variability of glycosylated hemoglobin (HbA1c) achieved targets) affect hospital admissions for cardiovascular events (CVEs) in T2D patients. Methods: We analyzed the electronic records in primary care health centers at Navarra (Spain) and hospital admission for CVEs. We followed 26,435 patients with T2D from 2012 to 2016. The variables collected were age, sex, health center, general practitioner practice (GPP), and income. The clinical variables were diagnosis of T2D, weight, height, body mass index (BMI), blood pressure (BP), HbA1c, low-density lipoprotein cholesterol (LDL-C), smoking, and antecedents of CVEs. We calculated, in each GPP practice, the proportion of patients with HbA1c ≥ 9. A non-hierarchical K-means cluster analysis classified GPPs into two clusters according to the level of compliance with HbA1C ≥ 9% control indicators. We used logistic and Cox regressions. 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The clinical variables were diagnosis of T2D, weight, height, body mass index (BMI), blood pressure (BP), HbA1c, low-density lipoprotein cholesterol (LDL-C), smoking, and antecedents of CVEs. We calculated, in each GPP practice, the proportion of patients with HbA1c ≥ 9. A non-hierarchical K-means cluster analysis classified GPPs into two clusters according to the level of compliance with HbA1C ≥ 9% control indicators. We used logistic and Cox regressions. 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subjects Age
Body mass index
Clinical medicine
Cluster analysis
Compliance
Diabetes
Disease prevention
Family physicians
Health facilities
Hospitals
Low income groups
Medical records
Medical referrals
Mortality
Obesity
Patient admissions
Population
Primary care
Risk factors
Socioeconomic factors
Software
title Variability in the Control of Type 2 Diabetes in Primary Care and Its Association with Hospital Admissions for Vascular Events. The APNA Study
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