scholarly journals Cardiovascular risk factors early in the course of treatment in people with type 2 diabetes without established cardiovascular disease: a population‐based observational retrospective cohort study

2021 ◽  
Author(s):  
Kamlesh Khunti ◽  
Christin L. Hertz ◽  
Lise Lotte N. Husemoen ◽  
Emina Mocevic ◽  
Rikke B. Nordsborg ◽  
...  
Author(s):  
Concepción Carratala-Munuera ◽  
Adriana Lopez-Pineda ◽  
Domingo Orozco-Beltran ◽  
Jose A. Quesada ◽  
Jose L. Alfonso-Sanchez ◽  
...  

Evidence shows that objectives for detecting and controlling cardiovascular risk factors are not being effectively met, and moreover, outcomes differ between men and women. This study will assess the gender-related differences in diagnostic inertia around the three most prevalent cardiovascular risk factors: dyslipidemia, arterial hypertension, and diabetes mellitus, and to evaluate the consequences on cardiovascular disease incidence. This is an epidemiological and cohort study. Eligible patients will be adults who presented to public primary health care centers in a Spanish region from 2008 to 2011, with hypertension, dyslipidemia, or/and diabetes and without cardiovascular disease. Participants’ electronic health records will be used to collect the study variables in a window of six months from inclusion. Diagnostic inertia of hypertension, dyslipidemia, and/or diabetes is defined as the registry of abnormal diagnostic parameters—but no diagnosis—on the person’s health record. The cohort will be followed from the date of inclusion until the end of 2019. Outcomes will be cardiovascular events, defined as hospital admission due to ischemic cardiopathy, stroke, and death from any cause. The results of this study could inform actions to rectify the structure, organization and training of health care teams in order to correct the inequality.


Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Charlotte A Larsson ◽  
Bledar Daka ◽  
Margareta I Hellgren ◽  
Maria C Eriksson ◽  
Lennart Råstam ◽  
...  

Introduction: Clusters of metabolic variables and their effects on incidence of type 2 diabetes have been studied previously; however, little is known about the effects on diabetes from risk factor clusters including lifestyle and self-rated health. Hypothesis: We assessed the hypothesis that clusters of common cardiovascular risk factors, including lifestyle and self-rated health, can predict development of type 2 diabetes in men and women, respectively. Methods: In 2002-2005, 2816 men and women, 30-74 years, were randomly selected from two municipalities in southwestern Sweden and assessed with regard to cardiovascular/metabolic risk factors within the Skaraborg Project (76% participation). Participants performed an OGTT, had blood samples drawn, had anthropometric measurements and blood pressure taken, and answered validated questionnaires about e.g. leisure-time physical activity (with four answer alternatives from intensive to sedentary) and self-rated health (with five alternatives from excellent to very poor). Using the same protocol, 1332 participants from the baseline survey where re-examined in 2011-2014. After excluding those with diabetes at baseline, 1268 participants were included in this prospective population-based study. Results: Factor analysis (using varimax rotation) identified significant loadings (≥0.40) on the following three identical factors in men and women: the metabolic factor , comprising HOMA-ir, WHR, systolic blood pressure, and apolipoprotein B-to-A1 ratio; the vitality factor , comprising physical activity and self-rated health; and the addiction factor , comprising smoking and alcohol consumption. After a mean follow-up of 9.7±1.4 years, 76 cases of diabetes were identified; 46 in men and 30 in women. In a logistic regression analysis adjusted for all principal components, age, and educational level, the metabolic factor significantly predicted type 2 diabetes in both men (OR: 3.3, CI: 2.3-5.0) and women (OR: 3.5, CI: 2.2-5.6). Furthermore, a predictive effect of the vitality factor was also seen in women (OR: 1.8, CI: 1.2-2.9), but not in men (OR: 1.1, CI: 0.8-1.6), whereas the addiction factor had no effect in either men or women. Conclusions: This is to our knowledge the first time principle components of cardiovascular risk factors, including both metabolic and lifestyle variables, have been used to predict incidence of type 2 diabetes. The gender difference observed with regard to the combined impact of self-rated health and physical activity are novel and indicates a mechanism beside the metabolic syndrome that warrants further gender-specific exploration in future studies.


2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
M V Fangel ◽  
P B Nielsen ◽  
J K Kristensen ◽  
T B Larsen ◽  
T F Overvad ◽  
...  

Abstract Background Risk stratification in patients with type 2 diabetes continues to be an important priority in the management of diabetes-related morbidity and mortality. International guidelines generally recognize patients with diabetes and cardiovascular disease as high-risk patients. Risk stratification is, however, more uncertain in diabetes patients without cardiovascular disease. Micro- and macroalbuminuria have previously been identified as predictors of cardiovascular events and mortality in general cohorts of diabetes patients. However, less is known about the predictive value of albuminuria in patients with diabetes but without established cardiovascular disease. Purpose We aimed to examine the association between albuminuria level and the risk of ischemic stroke, myocardial infarction, and all-cause mortality in patients with type 2 diabetes and without a diagnosis of cardiovascular disease. Methods We linked Danish nationwide registries to identify patients with type 2 diabetes and without cardiovascular disease from May 2005 through June 2015. Based on two consecutive measurements of the urinary albumin excretion rate or albumin-to-creatinine ratio patients were stratified in categories of normoalbuminuria, microalbuminuria, and macroalbuminuria. Patients were followed for the outcomes ischemic stroke, myocardial infarction, and all-cause mortality until December 31, 2015. Five-year risk of outcomes were presented as cumulative incidence functions (with death as a competing event). Associations between albuminuria level and incidence of ischemic stroke, myocardial infarction, and all-cause mortality were evaluated with Cox proportional hazard regression adjusted for cardiovascular risk factors. Results The study population included 78,841 patients with type 2 diabetes (44.7% females, mean age 63.2). When comparing patients with microalbuminuria to patients with normoalbuminuria in an age- and sex-adjusted analysis, we found hazard ratios (HRs) of 1.45 (95% CI: 1.24–1.69), 1.45 (95% CI: 1.24–1.70), and 1.50 (95% CI: 1.39–1.61) for ischemic stroke, myocardial infarction, and all-cause mortality, respectively. Furthermore, macroalbuminuria was associated with HRs of 2.05 (95% CI: 1.70–2.48), 2.25 (95% CI: 1.86–2.71), and 2.03 (95% CI: 1.85–2.23) for ischemic stroke, myocardial infarction, and all-cause mortality, respectively. Similar results were found after adjusting for cardiovascular risk factors. Conclusions In this nationwide cohort study of patients with type 2 diabetes but without cardiovascular disease, patients with micro- and macroalbuminuria had a higher risk of incident ischemic stroke, myocardial infarction, and all-cause mortality. This finding supports that patients with micro- or macroalbuminuria should be screened regularly and followed closely in clinical practice. Moreover, these findings suggest that patients with type 2 diabetes and micro- or macroalbuminuria may benefit from intensive vascular risk reduction.


2015 ◽  
Vol 24 (21-22) ◽  
pp. 3077-3083 ◽  
Author(s):  
Zalika Klemenc-Ketis ◽  
Alenka Terbovc ◽  
Bostjan Gomiscek ◽  
Janko Kersnik

2013 ◽  
Vol 10 (6) ◽  
pp. 505-513 ◽  
Author(s):  
Nathan D Wong ◽  
Christopher Patao ◽  
Kalina Wong ◽  
Shaista Malik ◽  
Stanley S Franklin ◽  
...  

Diabetes Care ◽  
2018 ◽  
Vol 41 (6) ◽  
pp. 1134-1141 ◽  
Author(s):  
Eric Yuk Fai Wan ◽  
Esther Yee Tak Yu ◽  
Weng Yee Chin ◽  
Colman Siu Cheung Fung ◽  
Daniel Yee Tak Fong ◽  
...  

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