1
|
Viñals C, Conget I, Granados M, Giménez M, Amor AJ. Evaluation of Cardiovascular Risk in People with Type 1 Diabetes: A Comprehensive and Specific Proposed Practical Approach. Diabetes Ther 2024; 15:1831-1844. [PMID: 38976136 PMCID: PMC11263441 DOI: 10.1007/s13300-024-01616-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 06/25/2024] [Indexed: 07/09/2024] Open
Abstract
People living with type 1 diabetes (T1D) have an increased risk of cardiovascular disease (CVD), and it is the leading cause of morbidity and mortality in this population. CVD risk increases with each uncontrolled risk factor, even in individuals with good glycaemic control. Recommendations for assessing CVD risk in the T1D population are extended from those for type 2 diabetes (T2D) even though the physiopathology and underlying mechanisms of atherosclerosis in T1D are poorly understood and differ from those in T2D. Unlike the assessment of microvascular complications, which is well established in T1D, this is far from being the case for the comorbidities and risk associated with CVD. Aside from classical cardiovascular comorbidities, carotid ultrasound can be useful to stratify CVD risk. The utilization of specific risk scales such as the Steno Type 1 Risk Engine can help to more accurately classify cardiovascular risk in these individuals. The cornerstones of the management of cardiovascular risk in T1D are the promotion of the Mediterranean diet, tight glycaemic control (glycated haemoglobin (HbA1c) < 7%), blood pressure < 130/80 mmHg in most patients, and low-density lipoprotein (LDL) cholesterol < 100 mg/dL in moderate-risk individuals, < 70 mg/dL in high-risk individuals, and < 55 mg/dL in very high-risk individuals. Conventional medical follow-up of patients with T1D should be individualized (approximately 2-3 visits per year), and a carotid ultrasound evaluation is recommended every 5 years in the absence of significant preclinical atherosclerosis or more often in those with severe preclinical atherosclerosis. Antithrombotic therapy is recommended in those receiving secondary prevention, those with stenosis > 50% in any arterial bed, and those with an impaired ankle-brachial index. This document is a proposal of a practical approach for the evaluation, classification, and management of CVD risk in individuals living with T1D.
Collapse
Affiliation(s)
- Clara Viñals
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic Barcelona, Villarroel 170, 08036, Barcelona, Spain.
| | - Ignacio Conget
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic Barcelona, Villarroel 170, 08036, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Montse Granados
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic Barcelona, Villarroel 170, 08036, Barcelona, Spain
| | - Marga Giménez
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic Barcelona, Villarroel 170, 08036, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Antonio J Amor
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic Barcelona, Villarroel 170, 08036, Barcelona, Spain.
| |
Collapse
|
2
|
Solà C, Viñals C, Serés-Noriega T, Perea V, Esmatjes E, Boswell L, Pané A, Blanco-Carrasco AJ, Vinagre I, Mesa A, Claro M, Ayala D, Milad C, Conget I, Giménez M, Amor AJ. Dose-Dependent association of cumulative tobacco consumption with the presence of carotid atherosclerosis in individuals with type 1 diabetes. Diabetes Res Clin Pract 2024; 214:111771. [PMID: 38971374 DOI: 10.1016/j.diabres.2024.111771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Revised: 06/29/2024] [Accepted: 07/03/2024] [Indexed: 07/08/2024]
Abstract
AIMS Evaluate the association between cumulative tobacco consumption (CTC; packs-year) and atherosclerosis in type 1 diabetes (T1D), and study whether the inclusion of CTC in the Steno T1 Risk Engine (ST1RE) equation improves the identification of plaques. METHODS Cross-sectional study in T1D patients without cardiovascular disease (CVD), with ≥ 1 of the following: ≥40 years-old, diabetic kidney disease, and/or T1D duration ≥ 10 years + cardiovascular risk factors.Preclinical atherosclerosis was evaluated by carotid ultrasonography. RESULTS N = 584 patients were included (46.1 % women, age 48.7 ± 10.5 years, T1D duration 27.3 ± 10.8 years, 26.2 % active smokers). The overall plaque prevalence was 40.9 %. In models adjusted for age, sex, lipids, blood pressure, kidney function, statin use, microvascular complications and HbA1c, CTC was dose-dependently associated with the number of plaques (none, 1-2, ≥3) overall and in both active and former smokers (p < 0.001). This association remained after adjusting for ST1RE (OR 1.11 [1.02-1.19]). Although the inclusion of CTC in the ST1RE did not improve plaque identification overall (p = 0.180), it did so when analyzing active smokers separately (AUC 0.738 vs. 0.768; p < 0.01). CONCLUSIONS In T1D patients, CTC is dose-dependently associated with atherosclerosis. Further prospective studies are needed to determine if CTC could identify T1D individuals more prone to accelerated atherosclerosis.
Collapse
Affiliation(s)
- Clara Solà
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Clara Viñals
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Tonet Serés-Noriega
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Verónica Perea
- Endocrinology and Nutrition Department, Hospital Universitari Mútua de Terrassa, Terrassa, Spain
| | - Enric Esmatjes
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Laura Boswell
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain; Endocrinology and Nutrition Department, Althaia University Health Network, Manresa, Spain
| | - Adriana Pané
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Antonio-Jesús Blanco-Carrasco
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Irene Vinagre
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Alex Mesa
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain; Endocrinology and Nutrition Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Maria Claro
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Denisse Ayala
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Camila Milad
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Ignacio Conget
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Marga Giménez
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Antonio J Amor
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain.
| |
Collapse
|
3
|
Ahola AJ, Tikkanen-Dolenc H, Harjutsalo V, Groop PH. Clustering of risk behaviours and associations between risk behaviours and cardio-metabolic risk factors in adult individuals with type 1 diabetes. Diabetes Res Clin Pract 2024; 208:111115. [PMID: 38266825 DOI: 10.1016/j.diabres.2024.111115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 01/17/2024] [Accepted: 01/20/2024] [Indexed: 01/26/2024]
Abstract
AIMS To assess clustering of risk behaviours and their health determinants. METHODS Cross-sectional health behaviour and health data were collected from individuals with type 1 diabetes, in the FinnDiane Study. Clustering of risk behaviours was assessed and associations between behaviours and health variables were investigated. RESULTS Data were available from 956 participants (40 % men, mean age 46 years). Altogether, 4.3 % individuals reported no risk behaviours, while 25.7 %, 37.4 %, 24.7 %, 6.8 %, and 1.0 % reported 1, 2, 3, 4, and 5 risk behaviours, respectively. Reporting ≥4 risk behaviours occurred more frequently than expected by chance. Dietary non-adherence was most frequently reported (84.4 %), followed by low LTPA (54.4 %), poor sleep (41.9 %), high alcohol consumption (15.2 %), and smoking (11.2 %). Adjusted for confounders, relative to ≤1 risk behaviour, reporting ≥2 risk behaviours was associated with higher BMI, waist circumference, and diastolic blood pressure. Having ≥3 risk behaviours was associated with larger waist-hip ratio, and higher HbA1c and triglyceride concentration; ≥4 risk behaviours was associated with higher cholesterol concentration. Of the health behaviours, low LTPA had the highest number of deleterious health associations. CONCLUSIONS Accumulation of risk behaviors increases negative health outcomes. Exhibiting ≥2 risk behaviours or low LTPA was associated with multiple adverse outcomes.
Collapse
Affiliation(s)
- Aila J Ahola
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland; Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Finland
| | - Heidi Tikkanen-Dolenc
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland; Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Finland
| | - Valma Harjutsalo
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland; Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Finland; National Institute for Health and Welfare, Helsinki, Finland
| | - Per-Henrik Groop
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland; Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Finland; Department of Diabetes, Central Clinical School, Monash University, Melbourne, Victoria, Australia.
| |
Collapse
|
4
|
Ahn J, Park HS, Cho SJ, Baek S, Rhee Y, Hong N. Association of secondhand smoke with fracture risk in community-dwelling nonsmoking adults in Korea. JBMR Plus 2024; 8:ziae010. [PMID: 38505531 PMCID: PMC10945720 DOI: 10.1093/jbmrpl/ziae010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 01/01/2024] [Accepted: 01/07/2024] [Indexed: 03/21/2024] Open
Abstract
Although the detrimental effects of active smoking on bone health have been widely recognized, the impact of secondhand smoke exposure on fracture risk in non-smokers remains less understood. A total of 4843 nonsmokers aged 40-69 yr, who participated in the Korean Genome and Epidemiology Study from 2001 to 2018, were analyzed. The participants were categorized into two groups based on their exposure status to secondhand smoke: currently exposed and unexposed. The exposure group was subsequently divided into two subgroups based on the median weekly exposure time (high vs low). The incidence of new fractures was determined using self-reported questionnaires. The identified fractures were categorized according to the fracture site: overall, vertebral, hip, non-vertebral, and non-vertebral non-hip fractures. The mean age of the participants was 52.4 yr (84.1% women). Exposure to secondhand smoke was associated with an increased risk of fracture (adjusted hazard ratio [aHR]: 1.27, P = 0.028) after adjusting for multiple covariates including age, sex, BMI, household income, bone density of mid-shaft tibia, C-reactive protein, alcohol consumption, and fracture history. Secondhand smoke remained as a significant risk factor for fracture, independent of the major osteoporotic fracture probabilities estimated using a fracture risk assessment tool (aHR: 1.24, P = 0.038). The high exposure group had higher risk of fracture than that of the unexposed group (aHR: 1.33, P = 0.025), whereas the fracture risk did not differ significantly between low exposure and unexposed groups (aHR: 1.18, P = 0.253), suggesting a potential dose-response relationship. Secondhand smoke showed robust association with increased risk of non-vertebral (aHR: 1.37, P = 0.008) or non-vertebral non-hip fractures (aHR: 1.36, P = 0.013), while its association with vertebral fracture was attenuated (aHR: 1.03, P = 0.908). Secondhand smoke was associated with an elevated risk of fracture in nonsmokers, independent of clinical risk factors.
Collapse
Affiliation(s)
- Junyeong Ahn
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Hye-Sun Park
- Department of Internal Medicine, Yonsei University College of Medicine, Gangnam Severance Hospital, Seoul 03722, Republic of Korea
| | - Sung Joon Cho
- Department of Internal Medicine, Endocrine Research Institute, Yonsei University College of Medicine, Severance Hospital, Seoul 03722, Republic of Korea
| | - Seungjin Baek
- Department of Internal Medicine, Endocrine Research Institute, Yonsei University College of Medicine, Severance Hospital, Seoul 03722, Republic of Korea
| | - Yumie Rhee
- Department of Internal Medicine, Endocrine Research Institute, Yonsei University College of Medicine, Severance Hospital, Seoul 03722, Republic of Korea
| | - Namki Hong
- Department of Internal Medicine, Endocrine Research Institute, Yonsei University College of Medicine, Severance Hospital, Seoul 03722, Republic of Korea
| |
Collapse
|
5
|
Singh S, Jain R, Joshi I, Chandra R, Singh L, Singh PK. Determinants of initiation, continuation and cessation of smokeless tobacco use among pregnant and lactating women: a qualitative study from low-income communities in urban India. Health Policy Plan 2023; 38:907-915. [PMID: 37494416 DOI: 10.1093/heapol/czad056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 06/05/2023] [Accepted: 07/21/2023] [Indexed: 07/28/2023] Open
Abstract
Smokeless tobacco (SLT) consumption increases the risk of cardiovascular diseases and cancer and leads to adverse reproductive health outcomes among women and newborns. This study examines the factors associated with initiation, continuation and cessation of SLT use among women in the reproductive age so as to formulate and include prevention and cessation interventions from its inception. The study was conducted in urban low-income communities in India. Using snowball and purposive sampling techniques, in-depth interviews were conducted with 20 pregnant and 22 lactating women who currently used SLT products. Data were analysed using thematic analysis with the help of QSR NVivo software. Findings revealed that factors such as people influencing usage change with different life stages including pre-marital and post-marital periods. Perceived health benefits, altered taste preferences during pregnancy and social influences were also studied. Women were found to be more aware of the harmful effects of tobacco during pregnancy than during breastfeeding. Social stigma around women consuming tobacco acted as a major driving factor for cessation. Most of the participants were willing to quit but were not aware of any technique or programme for cessation. The findings of the study highlight the need to develop behavioural change intervention tools, which are culturally and locally appropriate and have a gender-sensitive approach. Different socio-cultural factors associated with initiation/cessation at different life stages should also be taken into consideration while developing these tools.
Collapse
Affiliation(s)
- Shalini Singh
- ICMR-National Institute of Cancer Prevention and Research, Noida, Uttar Pradesh 201301, India
| | - Rupal Jain
- Division of Preventive Oncology & Population Health, WHO FCTC Knowledge Hub on Smokeless Tobacco, ICMR-National Institute of Cancer Prevention and Research, Noida, Uttar Pradesh 201301, India
| | - Isha Joshi
- Division of Preventive Oncology & Population Health, WHO FCTC Knowledge Hub on Smokeless Tobacco, ICMR-National Institute of Cancer Prevention and Research, Noida, Uttar Pradesh 201301, India
| | - Rishita Chandra
- Division of Preventive Oncology & Population Health, WHO FCTC Knowledge Hub on Smokeless Tobacco, ICMR-National Institute of Cancer Prevention and Research, Noida, Uttar Pradesh 201301, India
| | - Lucky Singh
- ICMR-National Institute of Medical Statistics, New Delhi 110029, India
| | - Prashant Kumar Singh
- Division of Preventive Oncology & Population Health, WHO FCTC Knowledge Hub on Smokeless Tobacco, ICMR-National Institute of Cancer Prevention and Research, Noida, Uttar Pradesh 201301, India
| |
Collapse
|
6
|
Smoking and diabetes: sex and gender aspects and their impact on vascular diseases. Can J Cardiol 2023; 39:681-692. [PMID: 36702239 DOI: 10.1016/j.cjca.2023.01.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 01/16/2023] [Accepted: 01/17/2023] [Indexed: 01/24/2023] Open
Abstract
Smoking and diabetes mellitus (DM) have been identified as two major cardiovascular risk factors for many years. In the field of cardiovascular diseases, considering sex differences, or gender differences, or both has become an essential element in moving toward equitable and quality healthcare. We reviewed the impact of sex or gender on the link between smoking and DM. The risk of type 2 DM (T2DM) due to smoking has been established in both sexes at the same level. As is the case in the general population, the prevalence of smoking in those with DM is higher in men than in women, although the decrease in smoking observed in recent years is more pronounced in men than in women. Regarding chronic DM complications, smoking is an independent risk factor for all-cause mortality, as well as macrovascular and microvascular complications, in both sexes. Nevertheless, in T2DM, the burden of smoking appears to be greater in women than in men for coronary heart disease morbidity, women having a 50% higher risk of fatal coronary event. Women are more dependent to nicotine, cumulate psychosocial barriers to quitting smoking, and are more likely to gain weight, which might make it more difficult for them to quit smoking. Smoking cessation advice and treatments should take into account gender differences to improve the success and long-term maintenance of abstinence in people with and without DM. This might include interventions that address emotions and stress in women or designed to reach specific populations of men.
Collapse
|
7
|
Boswell L, Serés-Noriega T, Mesa A, Perea V, Pané A, Viñals C, Blanco J, Giménez M, Vinagre I, Esmatjes E, Conget I, Amor AJ. Carotid ultrasonography as a strategy to optimize cardiovascular risk management in type 1 diabetes: a cohort study. Acta Diabetol 2022; 59:1563-1574. [PMID: 36006487 DOI: 10.1007/s00592-022-01959-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 08/09/2022] [Indexed: 11/01/2022]
Abstract
BACKGROUND AND AIMS Although cardiovascular disease (CVD) remains the leading cause of mortality in type 1 diabetes (T1D), the use of cardioprotective drugs is scarce. We aimed to evaluate the impact of carotid ultrasonography (US) on the improvement in cardiovascular risk factors (CVRFs) in T1D. METHODS AND RESULTS T1D patients without CVD meeting criteria for lipid treatment according to guidelines (age ≥ 40 years, nephropathy and/or ≥ 10 years of diabetes duration with ≥ 1 additional CVRFs) were included. The carotid-US group (US-G) underwent a standardized US protocol and CVRF assessment; recommendations were made according to subclinical atherosclerosis status. The control group (CG) followed usual clinical practice. Changes in CVRFs, specially statin use and LDL cholesterol levels, at 1 year were analysed. A total of 318 patients were included (51.3% female, mean age of 49.1 years and 25.5 years of diabetes duration): 211 in the US-G and 107 in the CG. Participants in the US-G had a higher baseline LDL cholesterol than controls (114 vs. 102 mg/dL; p < 0.001). Lipid-lowering treatment was modified in 38.9% in the US-G and 6.5% in the CG (p < 0.001). At 1 year, the US-G was more frequently on statins, had lower LDL cholesterol and 27% had stopped smoking (p < 0.001 for all). Changes were more pronounced in those with plaques (p < 0.001). In multivariate analyses adjusted for age, sex and other CVRFs, belonging to the US-G was independently associated with the intensification of lipid-lowering treatment (OR 10.47 [4.06-27.01]). Propensity score-matching analysis yielded similar results (OR 20.09 [7.86-51.37]). CONCLUSION Carotid-US is independently associated with an intensification of lipid-lowering therapy in a high-risk T1D population.
Collapse
Affiliation(s)
- Laura Boswell
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Villarroel 170, 08036, Barcelona, Spain.
- Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain.
- Endocrinology and Nutrition Department, Althaia University Health Network, Manresa, Spain.
| | - Tonet Serés-Noriega
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Villarroel 170, 08036, Barcelona, Spain
| | - Alex Mesa
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Villarroel 170, 08036, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain
| | - Verónica Perea
- Endocrinology and Nutrition Department, Hospital Universitari Mútua de Terrassa, Terrassa, Spain
| | - Adriana Pané
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Villarroel 170, 08036, Barcelona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Clara Viñals
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Villarroel 170, 08036, Barcelona, Spain
| | - Jesús Blanco
- Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Villarroel 170, 08036, Barcelona, Spain
| | - Marga Giménez
- Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Villarroel 170, 08036, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Carlos III Health Institute, Madrid, Spain
| | - Irene Vinagre
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Villarroel 170, 08036, Barcelona, Spain
| | - Enric Esmatjes
- Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Villarroel 170, 08036, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Carlos III Health Institute, Madrid, Spain
| | - Ignacio Conget
- Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Villarroel 170, 08036, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Carlos III Health Institute, Madrid, Spain
| | - Antonio J Amor
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Villarroel 170, 08036, Barcelona, Spain.
| |
Collapse
|
8
|
Durlach V, Vergès B, Al-Salameh A, Bahougne T, Benzerouk F, Berlin I, Clair C, Mansourati J, Rouland A, Thomas D, Thuillier P, Tramunt B, Le Faou AL. Smoking and diabetes interplay: A comprehensive review and joint statement. DIABETES & METABOLISM 2022; 48:101370. [PMID: 35779852 DOI: 10.1016/j.diabet.2022.101370] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 06/28/2022] [Accepted: 06/28/2022] [Indexed: 06/15/2023]
Abstract
Evidence shows that smoking increases the risk of pre-diabetes and diabetes in the general population. Among persons with diabetes, smoking has been found to increase the risk of all-cause mortality and aggravate chronic diabetic complications and glycemic control. The current paper, which is a joint position statement by the French-Speaking Society on Tobacco (Société Francophone de Tabacologie) and the French-Speaking Society of Diabetes (Société Francophone du Diabète), summarizes the data available on the association between smoking and diabetes and on the impact of smoking and smoking cessation among individuals with type 1, type 2, and gestational diabetes mellitus. It also provides evidence-based information about the pharmacological and behavioral strategies for smoking cessation in these patients.
Collapse
Affiliation(s)
- Vincent Durlach
- Champagne-Ardenne University, UMR CNRS 7369 MEDyC & Cardio-Thoracic Department, Reims University Hospital, Reims, France.
| | - Bruno Vergès
- Department of Endocrinology, Diabetology and Metabolic Diseases, CHU Dijon, Dijon, France; INSERM LNC-UMR1231, University of Burgundy, Dijon, France
| | - Abdallah Al-Salameh
- Department of Endocrinology, Diabetes Mellitus and Nutrition, Amiens University Hospital, Amiens, France; PériTox = UMR-I 01, University of Picardy Jules Verne, Amiens, France
| | - Thibault Bahougne
- Department of Endocrinology and Diabetology, Strasbourg University Hospital, Strasbourg, France; Institute of Cellular and Integrative Neuroscience, CNRS UPR-3212, Strasbourg, France
| | - Farid Benzerouk
- Cognition Health and Society Laboratory (EA 6291), University of Reims Champagne-Ardenne, Reims, France; Department of Psychiatry, Reims University Hospital, Reims, France
| | - Ivan Berlin
- Department of Pharmacology, Hôpital Pitié-Salpêtrière, AP-HP, Paris, France
| | - Carole Clair
- Department of Training, Research and Innovation, Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland
| | - Jacques Mansourati
- EA 4324 ORPHY, University of Western Brittany, Brest, France; Department of Cardiology, University Hospital of Brest, Brest, France
| | - Alexia Rouland
- Department of Endocrinology, Diabetology and Metabolic Diseases, CHU Dijon, Dijon, France
| | - Daniel Thomas
- Institute of Cardiology, Hôpital Pitié-Salpêtrière, Sorbonne University, Paris, France
| | - Philippe Thuillier
- Department of Endocrinology, Diabetology and Metabolic Diseases, University Hospital of Brest, Brest, France
| | - Blandine Tramunt
- Institute of Metabolic and Cardiovascular Diseases, UMR1297 INSERM/UPS, Toulouse University, Toulouse, Franc; Department of Diabetology, Metabolic Diseases and Nutrition, Toulouse University Hospital, Toulouse, France
| | - Anne-Laurence Le Faou
- Outpatient Addiction Center, Georges Pompidou European Hospital, AP-HP, Sorbonne Paris Cité, Paris, France
| |
Collapse
|
9
|
Shin J, Paik HY, Joung H, Shin S. Smoking and alcohol consumption influence the risk of cardiovascular diseases in Korean adults with elevated blood pressure. Nutr Metab Cardiovasc Dis 2022; 32:2187-2194. [PMID: 35872101 DOI: 10.1016/j.numecd.2022.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Revised: 05/24/2022] [Accepted: 06/06/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND AND AIMS Cardiovascular disease (CVD) and hypertension are the main causes of global death. We aimed to investigate the independent and combined effects of smoking and alcohol consumption on CVD risk among Koreans with elevated blood pressure (BP). METHODS AND RESULTS Adults aged 20-65 years with elevated BP and without pre-existing CVDs were selected from the National Health Insurance Service-National Sample Cohort version 2.0. We followed up 59,391 men and 35,253 women between 2009 and 2015. The association of CVD incidence with smoking pack-years and alcohol consumption was investigated using the multivariate Cox proportional hazard model. Among women, smokers (10.1-20.0 pack-years) and alcohol drinkers (≥30.0 g/day) had higher CVD risks (hazard ratio [HR] = 1.15, 95% confidence intervals [CI] 1.06-1.25, HR = 1.06, 95% CI 1.00-1.12, respectively) compared to each referent group. However, men who smoked exhibited an increased CVD risk only with pack-years >20.0 (HR = 1.09, 1.03-1.14 and HR = 1.18, 1.11-1.26 for smokers with 20.1-30.0 and ≥ 30.1 pack-years, respectively) compared to nonsmokers. In the combined groups of those smoking and consuming alcohol, only nonsmoking men consuming alcohol 1.0-29.9 g/day had a lower CVD risk than did nonsmoking, nondrinking men (HR = 0.90, 0.83-0.97). Women smoking 1.0-10.0 pack-years and consuming alcohol ≥30.0 g/day had a higher CVD risk (HR = 1.25, 1.11-1.41) than nonsmoking and nondrinking women. CONCLUSION Smoking and alcohol consumption, independently and jointly, were associated with CVD risk in men and women. Women had a greater CVD risk than did men among Korean adults with elevated BP.
Collapse
Affiliation(s)
- Jiae Shin
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea
| | - Hee Young Paik
- Korea Center for Gendered Innovations for Science and Technology Research (GISTeR), 22 Teheran-ro 7-gil, Gangnam-gu, Seoul 06130, Republic of Korea
| | - Hyojee Joung
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea
| | - Sangah Shin
- Department of Food and Nutrition, School of Food Science and Technology, Chung-Ang University, 4726 Seodong-daero, Daedeok-myeon, Anseong, Gyeonggi-do 17546, Republic of Korea.
| |
Collapse
|
10
|
Soulimane S, Balkau B, Vogtschmidt YD, Toeller M, Fuller JH, Soedamah-Muthu SS. Incident cardiovascular disease by clustering of favourable risk factors in type 1 diabetes: the EURODIAB Prospective Complications Study. Diabetologia 2022; 65:1169-1178. [PMID: 35411407 PMCID: PMC9174122 DOI: 10.1007/s00125-022-05698-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 03/04/2022] [Indexed: 11/30/2022]
Abstract
AIMS The aim of this prospective study was to examine CVD risk reduction in type 1 diabetes (1) for people with favourable cardiovascular health metrics and (2) by clustering of these metrics. METHODS Data from 2313 participants from the EURODIAB Prospective Complications Study were analysed. All had type 1 diabetes (51% men, mean ± SD age 32 ± 9 years). Seven cardiovascular health metrics were studied-smoking, BMI, physical activity, a diet score, total cholesterol/HDL-cholesterol ratio, combined systolic and diastolic BP and HbA1c-divided into favourable/less favourable categories. Cox proportional hazards models were used to calculate HRs (95% CIs) of incident CVD for each metric. Clusters were made by scoring each individual by the number of favourable metrics. RESULTS A total of 163 people developed incident CVD during a mean ± SD follow-up of 7.2 ± 1.3 years. Participants with more favourable HbA1c levels of <57 mmol/mol (<7.4%) had a 37% significantly lower CVD risk than those with a less favourable HbA1c (HR [95% CI] 0.63 [0.44, 0.91]), and participants with a more favourable BP (systolic BP <112 mmHg and diastolic BP <70 mmHg) had a 44% significantly lower CVD risk than participants in the less favourable BP group (HR [95% CI] 0.56 [0.34, 0.92]). There was a dose-response relation with a lower HR observed with greater clustering of more favourable metrics: people with four or more favourable metrics had an HR of 0.37 (95% CI 0.18, 0.76), adjusted for sex and age at diabetes diagnosis, compared with those with no favourable metrics. CONCLUSIONS/INTERPRETATION Low HbA1c and low BP were protective cardiovascular health metrics in our study of people with type 1 diabetes. Targeting all cardiovascular health metrics could be more effective in preventing CVD than targeting single metrics.
Collapse
Affiliation(s)
- Soraya Soulimane
- Center of Research on Psychological disorders and Somatic diseases (CoRPS), Department of Medical and Clinical Psychology, Tilburg University, Tilburg, the Netherlands
| | - Beverley Balkau
- Clinical Epidemiology, Université Paris-Saclay, UVSQ, Inserm, CESP, Villejuif, France
| | - Yakima D Vogtschmidt
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, Reading, UK
- Institute for Food, Nutrition and Health, University of Reading, Reading, UK
| | - Monika Toeller
- Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - John H Fuller
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Sabita S Soedamah-Muthu
- Center of Research on Psychological disorders and Somatic diseases (CoRPS), Department of Medical and Clinical Psychology, Tilburg University, Tilburg, the Netherlands.
- Institute for Food, Nutrition and Health, University of Reading, Reading, UK.
| |
Collapse
|
11
|
Mokhayeri Y, Nazemipour M, Mansournia MA, Naimi AI, Kaufman JS. Does weight mediate the effect of smoking on coronary heart disease? Parametric mediational g-formula analysis. PLoS One 2022; 17:e0262403. [PMID: 35025942 PMCID: PMC8757910 DOI: 10.1371/journal.pone.0262403] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Accepted: 12/22/2021] [Indexed: 11/19/2022] Open
Abstract
Background
In settings in which there are time-varying confounders affected by previous exposure and a time-varying mediator, natural direct and indirect effects cannot generally be estimated unbiasedly. In the present study, we estimate interventional direct effect and interventional indirect effect of cigarette smoking as a time-varying exposure on coronary heart disease while considering body weight as a time-varying mediator.
Methods
To address this problem, the parametric mediational g-formula was proposed to estimate interventional direct effect and interventional indirect effect. We used data from the Multi-Ethnic Study of Atherosclerosis to estimate effect of cigarette smoking on coronary heart disease, considering body weight as time-varying mediator.
Results
Over a 11-years period, smoking 20 cigarettes per day compared to no smoking directly (not through weight) increased risk of coronary heart disease by an absolute difference of 1.91% (95% CI: 0.49%, 4.14%), and indirectly decreased coronary heart disease risk by -0.02% (95% CI: -0.05%, 0.04%) via change in weight. The total effect was estimated as an absolute 1.89% increase (95% CI: 0.49%, 4.13%).
Conclusion
The overall absolute impact of smoking to incident coronary heart disease is modest, and we did not discern any important contribution to this effect relayed through changes to bodyweight. In fact, changes in weight because of smoking have no meaningful mediating effect on CHD risk.
Collapse
Affiliation(s)
- Yaser Mokhayeri
- Cardiovascular Research Center, Shahid Rahimi Hospital, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Maryam Nazemipour
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Ali Mansournia
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- * E-mail:
| | - Ashley I. Naimi
- Department of Epidemiology, Emory University, Atlanta, GA, United States of America
| | - Jay S. Kaufman
- Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| |
Collapse
|
12
|
Penlioglou T, Stoian AP, Papanas N. Diabetes, Vascular Aging and Stroke: Old Dogs, New Tricks? J Clin Med 2021; 10:jcm10194620. [PMID: 34640636 PMCID: PMC8509285 DOI: 10.3390/jcm10194620] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 10/04/2021] [Accepted: 10/06/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Stroke remains a leading cause of death and disability throughout the world. It is well established that Diabetes Mellitus (DM) is a risk factor for stroke, while other risk factors include dyslipidaemia and hypertension. Given that the global prevalence of diabetes steadily increases, the need for adequate glycaemic control and prevention of DM-related cardiovascular events remains a challenge for the medical community. Therefore, a re-examination of the latest data related to this issue is of particular importance. OBJECTIVE This review aims to summarise the latest data on the relationship between DM and stroke, including epidemiology, risk factors, pathogenesis, prevention and biomarkers. METHODS For this purpose, comprehensive research was performed on the platforms PubMed, Google Scholar and EMBASE with a combination of the following keywords: diabetes mellitus, stroke, macrovascular complications, diabetic stroke, cardiovascular disease. CONCLUSIONS Much progress has been made in stroke in people with DM in terms of prevention and early diagnosis. In the field of prevention, the adaptation of the daily habits and the regulation of co-morbidity of individuals play a particularly important role. Simultaneously, the most significant revolution has been brought by the relatively new treatment options that offer protection to the cardiovascular system. Moreover, many prognostic and diagnostic biomarkers have been identified, paving the way for early and accurate diagnoses. However, to date, there are crucial points that remain controversial and need further clarification.
Collapse
Affiliation(s)
- Theano Penlioglou
- Diabetes Centre, Second Department of Internal Medicine, Democritus University of Thrace, 68132 Alexandroupolis, Greece;
| | - Anca Pantea Stoian
- Diabetes, Nutrition and Metabolic Diseases Department, “Carol Davila” University of Medicine, 020021 Bucharest, Romania;
| | - Nikolaos Papanas
- Diabetes Centre, Second Department of Internal Medicine, Democritus University of Thrace, 68132 Alexandroupolis, Greece;
- Correspondence: ; Fax: +30-25513-51723
| |
Collapse
|
13
|
Parente EB, Harjutsalo V, Forsblom C, Groop PH. The impact of central obesity on the risk of hospitalization or death due to heart failure in type 1 diabetes: a 16-year cohort study. Cardiovasc Diabetol 2021; 20:153. [PMID: 34315479 PMCID: PMC8314504 DOI: 10.1186/s12933-021-01340-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 07/09/2021] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Obesity and type 2 diabetes are well-known risk factors for heart failure (HF). Although obesity has increased in type 1 diabetes, studies regarding HF in this population are scarce. Therefore, we investigated the impact of body fat distribution on the risk of HF hospitalization or death in adults with type 1 diabetes at different stages of diabetic nephropathy (DN). METHODS From 5401 adults with type 1 diabetes in the Finnish Diabetic Nephropathy Study, 4668 were included in this analysis. The outcome was HF hospitalization or death identified from the Finnish Care Register for Health Care or the Causes of Death Register until the end of 2017. DN was based on urinary albumin excretion rate. A body mass index (BMI) ≥ 30 kg/m2 defined general obesity, whilst WHtR ≥ 0.5 central obesity. Multivariable Cox regression was used to explore the associations between central obesity, general obesity and the outcome. Then, subgroup analyses were performed by DN stages. Z statistic was used for ranking the association. RESULTS During a median follow-up of 16.4 (IQR 12.4-18.5) years, 323 incident cases occurred. From 308 hospitalizations due to HF, 35 resulted in death. Further 15 deaths occurred without previous hospitalization. The WHtR showed a stronger association with the outcome [HR 1.51, 95% CI (1.26-1.81), z = 4.40] than BMI [HR 1.05, 95% CI (1.01-1.08), z = 2.71]. HbA1c [HR 1.35, 95% CI (1.24-1.46), z = 7.19] was the most relevant modifiable risk factor for the outcome whereas WHtR was the third. Individuals with microalbuminuria but no central obesity had a similar risk of the outcome as those with normoalbuminuria. General obesity was associated with the outcome only at the macroalbuminuria stage. CONCLUSIONS Central obesity associates with an increased risk of heart failure hospitalization or death in adults with type 1 diabetes, and WHtR may be a clinically useful screening tool.
Collapse
Affiliation(s)
- Erika B Parente
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Valma Harjutsalo
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,National Institute for Health and Welfare, Helsinki, Finland
| | - Carol Forsblom
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Per-Henrik Groop
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland. .,Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland. .,Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland. .,Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC, Australia.
| | | |
Collapse
|
14
|
Serés-Noriega T, Giménez M, Perea V, Blanco J, Vinagre I, Pané A, Ruiz S, Cofán M, Mesa A, Esmatjes E, Conget I, Ortega E, Amor AJ. Quantification of glycoproteins by nuclear magnetic resonance associated with preclinical carotid atherosclerosis in patients with type 1 diabetes. Nutr Metab Cardiovasc Dis 2021; 31:2099-2108. [PMID: 34039504 DOI: 10.1016/j.numecd.2021.03.021] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 03/23/2021] [Accepted: 03/23/2021] [Indexed: 12/25/2022]
Abstract
BACKGROUND AND AIMS Glycoproteins play a key role in inflammatory and cardiometabolic processes. Their implication in atherosclerosis in type 1 diabetes (T1D) is unknown. We assessed the relationships between classic inflammatory markers, glycoproteins measured by nuclear magnetic resonance (1H-NMR), and preclinical atherosclerosis in these patients. METHODS AND RESULTS We selected patients with T1D, without cardiovascular disease (CVD), with: age ≥40 years, nephropathy (micro/macroalbuminuria), or ≥10 years of evolution with another risk factor. The presence of plaque (intima-media thickness >1.5 mm) was determined by ultrasonography. Concentrations of high-sensitive C-reactive protein (hsCRP), circulating leukocytes (classical inflammation markers) and 1H-NMR-glycoproteins (GlycA, GlycB, GlycF, and the height/width [H/W] ratios of GlycA and GlycB) were determined. We included 189 patients (58% male, age 47.0 [40.7-55.2] years). Thirty-five percent presented plaques (22%, ≥2 plaques). There was no association between hsCRP or leukocytes and atherosclerosis. However, in age- and sex-adjusted models, GlycA, GlycF, and the H/W ratios of GlycA and GlycB gradually increased with the number of plaques (0, 1, ≥2 plaques) only in patients without statins (p < 0.05), with no association in patients receiving this drug (p for interaction <0.05; in ≥2 plaques). Finally, in models adjusted for other classical and T1D-specific risk factors, GlycA and GlycB H/W ratios remained associated with carotid plaque (OR 1.39 [1.12-1.90] and OR 6.89 [1.85-25.62], respectively). CONCLUSION In T1D individuals without lipid-lowering treatment, 1H-NMR-glycoproteins were independently associated with the presence and amount of carotid atherosclerosis, unlike other classical inflammatory markers. Further studies are needed to ascertain their utility as CVD biomarkers.
Collapse
Affiliation(s)
- Tonet Serés-Noriega
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Marga Giménez
- Diabetes Unit, Endocrinology and Nutrition Department, Institut d'Investigacions BiomèdiquesAugust Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Verónica Perea
- Endocrinology and Nutrition Department, Hospital Universitari Mútua de Terrassa, Terrassa, Spain
| | - Jesús Blanco
- Diabetes Unit, Endocrinology and Nutrition Department, Institut d'Investigacions BiomèdiquesAugust Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Irene Vinagre
- Diabetes Unit, Endocrinology and Nutrition Department, Institut d'Investigacions BiomèdiquesAugust Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Adriana Pané
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Sabina Ruiz
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Monserrat Cofán
- Endocrinology and Nutrition Department, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Alex Mesa
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Enric Esmatjes
- Diabetes Unit, Endocrinology and Nutrition Department, Institut d'Investigacions BiomèdiquesAugust Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Ignacio Conget
- Diabetes Unit, Endocrinology and Nutrition Department, Institut d'Investigacions BiomèdiquesAugust Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Emilio Ortega
- Endocrinology and Nutrition Department, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
| | - Antonio J Amor
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain.
| |
Collapse
|
15
|
Sun X, Gan H, Xia Y. Changes of serum advanced glycation end products (AGEs), matrix metalloprotein-2 (MMP-2), and urinary microalbuminuria (mALB) in diabetic nephropathy and their predictive value for heart failure. Transl Androl Urol 2021; 10:1279-1285. [PMID: 33850762 PMCID: PMC8039578 DOI: 10.21037/tau-21-35] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
Background Diabetic nephropathy is a common complication in diabetic patients, with a high rate of disability and mortality. This study aims to explore the changes in serum advanced glycation end products (AGEs), matrix metalloprotein-2 (MMP-2), and urinary microalbuminuria (mALB) in diabetic nephropathy and their predictive value for heart failure. Methods The 134 patients with diabetic nephropathy treated in our hospital from January 2014 to December 2017 were enrolled and divided into two groups resulting in 64 cases in an observation group with heart failure, and 70 cases without heart failure in a control group. In addition, 80 patients with simple diabetes who were treated during the same period were selected as the simple diabetes group. Levels of AGEs, MMP-2, and mALB between the groups were compared, risk factors affecting diabetic nephropathy patients with heart failure were analyzed, and an ROC curve was drawn to evaluate the predictive value of AGEs, MMP-2, and mALB for heart failure Results The levels of AGEs and mALB in the diabetic nephropathy group were significantly higher than those in the simple diabetes group, and the levels of MMP-2 were significantly lower than those in the simple diabetes group (P<0.05). The levels of AGEs and mALB in the observation group were significantly higher than those in the control group, and the levels of MMP-2 were significantly lower than that in the control group (P<0.05). Smoking history hypertension history, blood creatinine (abnormal increase), blood uric acid (abnormal increase), AGEs (abnormal increase), MMP-2 (abnormal decrease), and mALB (abnormal increase) were independent risk factors affecting diabetic nephropathy patients with heart failure. The area under the ROC curve of AGEs, MMP-2, mALB, and their combined detection were: 0.821, 0.909, 0.897, and 0.991, respectively, showing the area under the curve of combined detection to be the largest. Conclusions AGEs, MMP-2, and mALB have high predictive value for heart failure in patients with diabetic nephropathy. Their sensitivity and specificity are high, indicating they may hold considerable clinical value.
Collapse
Affiliation(s)
- Xieyi Sun
- Chongqing Medical University, Chongqing, China.,Department of Nephrology, the People's Hospital of Rongchang District, Chongqing, China
| | - Hua Gan
- Department of Nephrology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yunfeng Xia
- Department of Nephrology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| |
Collapse
|
16
|
Lachin JM, Bebu I, Braffett B. Models to Assess the Association of a Semiquantitative Exposure With Outcomes. Am J Epidemiol 2020; 189:1573-1582. [PMID: 32556076 DOI: 10.1093/aje/kwaa071] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 04/19/2020] [Accepted: 04/22/2020] [Indexed: 11/12/2022] Open
Abstract
A semiquantitative risk factor has 2 components: any exposure (yes/no) and the quantitative amount of exposure (if exposed). We describe the statistical properties of alternative analyses with such a risk factor using linear, logistic, or Cox proportional hazards models. Often analyses employ the amount exposed as a single quantitative covariate, including the nonexposed with value zero. However, this analysis provides a biased estimate of the exposure coefficient (slope) and we describe the magnitude of the bias. This bias can be eliminated by adding a binary covariate for exposed versus not to the model. This 2-factor analysis captures the full risk-factor effect on the outcome. However, the coefficient for any exposure versus not does not have a meaningful interpretation. Alternatively, when exposure values among those exposed are centered (by subtracting the mean), the estimate of this coefficient represents the difference in the outcome between those exposed versus not in aggregate. We also show that the biased model provides biased estimates of the coefficients for other covariates added to the model. Proper analysis of a semiquantitative risk factor should start with a 2-factor model, with centering, to assess the joint contributions of the 2 components of the risk-factor exposure. Properties of models were illustrated using data from a multisite study in North America (1983-2019).
Collapse
|
17
|
Viñals C, Conget I, Pané A, Boswell L, Perea V, Blanco AJ, Ruiz S, Giménez M, Vinagre I, Esmatjes E, Ortega E, Amor AJ. Steno type 1 risk engine and preclinical atherosclerosis in Mediterranean individuals with type 1 diabetes. Diabetes Metab Res Rev 2020; 36:e3320. [PMID: 32239693 DOI: 10.1002/dmrr.3320] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 01/31/2020] [Accepted: 03/18/2020] [Indexed: 01/11/2023]
Abstract
BACKGROUND AND AIMS Tools to detect type 1 diabetes (T1D) individuals at overt cardiovascular disease (CVD) risk are scarce. We aimed to assess the usefulness of the score 'Steno Type 1 Risk Engine' (Steno-Risk) to identify T1D patients with advanced carotid atherosclerosis. MATERIAL AND METHODS T1D patients without CVD with at least one of the following were included: ≥40 years, diabetic nephropathy, or diabetes duration ≥10 years with ≥1 CVD risk factor. Intima-media thickness (IMT) and plaque presence (IMT ≥1.5 mm) were assessed by standardized B-mode ultrasonography. Steno-Risk was used to estimate 10-year risk (<10% low; 10%-20% moderate; ≥20% high risk). Associations between Steno-Risk and preclinical atherosclerosis were assessed after adjusting for other CVD risk factors. RESULTS We evaluated 302 patients (55% men, age 47.8 ± 9.8 years, T1D duration 26.3 ± 9.3 years). The prevalence of carotid plaque and ≥2 plaques were 36.4% and 19.2%, respectively; without sex differences. Age (57.4 ± 7.4 vs 37.1 ± 6.2 years), T1D duration (31.3 ± 10.4 vs 21.5 ± 7.1 years), hypertension (52.3% vs 6.3%), nephropathy (25.6% vs 5.1%) and retinopathy (53.5% vs 32.9%) were higher in high-risk (n = 86) vs low-risk participants (n = 79; P < .001 for all). Preclinical atherosclerosis (IMT and plaque) increased in parallel with Steno-Risk (P < .001). In logistic regression analysis, both age ≥40 years and Steno-Risk ≥20% were associated with the presence of plaque (OR 4.22 [1.57-11.36] and 3.79 [1.61-6.80]; respectively), but only high Steno-Risk remained independently associated with ≥2 plaques (OR 3.31 [1.61-6.80]). CONCLUSION Steno-Risk is independently associated with preclinical atherosclerosis. Further studies are needed to ascertain its usefulness in this high-risk population.
Collapse
Affiliation(s)
- C Viñals
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
| | - I Conget
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
- Institut d'investigacions biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - A Pané
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
| | - L Boswell
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
| | - V Perea
- Endocrinology and Nutrition Department, Hospital Universitari Mútua de Terrassa, Terrassa, Spain
| | - A J Blanco
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
- Institut d'investigacions biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - S Ruiz
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
| | - M Giménez
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
- Institut d'investigacions biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - I Vinagre
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
- Institut d'investigacions biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - E Esmatjes
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
- Institut d'investigacions biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - E Ortega
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
- Institut d'investigacions biomèdiques August Pi i Sunyer, Barcelona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - A J Amor
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
| |
Collapse
|
18
|
Gyeong Son H. Effects of smoking behaviour changes on depression in older people: a retrospective study. Australas J Ageing 2020; 40:e37-e43. [PMID: 32881229 DOI: 10.1111/ajag.12842] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2020] [Revised: 06/30/2020] [Accepted: 07/05/2020] [Indexed: 01/11/2023]
Abstract
OBJECTIVE This study aimed to identify the effects of changes in smoking behaviour on the presence of depression in participants aged 65 years and over. METHODS Data from the 1st to 6th Korean Longitudinal Study of Aging were used in this study. The participants comprised 374 older adults aged 65 years and over, who had smoked in the past. Logistic regression analysis was conducted to identify the effects of smoking behaviour change on the presence of depression. RESULTS Changes in smoking behaviour were categorised into three groups: (1) dramatically reduced (66.8%), (2) slightly reduced (19.8%), and (3) increased (13.4%). Those participants who showed significantly reduced smoking were more likely to have depression than those who increased smoking. CONCLUSION It is necessary to develop practical protocols and educational programs aimed at preventing and managing depression in older adults aged 65 years and above.
Collapse
|
19
|
Sismanlar Eyuboglu T, Aslan AT, Kose M, Pekcan S, Hangul M, Gulbahar O, Cingirt M, Bedir Demirdag T, Tezer H, Budakoglu II. Passive Smoking and Disease Severity in Childhood Pneumonia Under 5 Years of Age. J Trop Pediatr 2020; 66:412-418. [PMID: 31774539 DOI: 10.1093/tropej/fmz081] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
OBJECTIVE To objectively investigate the effect of passive smoking on pneumonia and disease severity in children aged less than 5 years by using cotinine as an indicator of passive smoking. METHODS Between December 2015 and April 2016, children aged less than 5 years with pneumonia and age-matched healthy controls were included in this study, which was conducted at three tertiary pediatric pulmonology centers. A questionnaire was given to the parents regarding demographic data and smoking status at home. Urinary cotinine/creatinine ratio (CCR) was measured. The data from the pneumonia and control groups, as well as children with mild and severe pneumonia within the pneumonia group, were compared. RESULTS A total of 227 subjects were included in the study; there were 74 children in the pneumonia group and 153 in the control group. The mean age of all the children was 33.4 ± 1.28 months. Of all subjects, 140 were male and 102 were exposed to passive smoking by their parents at home. There were statistically significant differences in age, number of people in the home, and mother's and father's age between the control and pneumonia groups (p < 0.05). No difference was found in the CCR in the control and pneumonia group (p > 0.05). Age and urinary CCR were significantly different between children with mild and severe pneumonia (p < 0.05). CONCLUSION We showed that passive smoking exposure was associated with the development of severe pneumonia in children. Further studies are needed to examine the underlying cause in detail.
Collapse
Affiliation(s)
- Tugba Sismanlar Eyuboglu
- Department of Pediatric Pulmonology, Dr Sami Ulus Maternity and Children Research and Training Hospital, Ankara, Turkey 06080
| | - Ayse Tana Aslan
- Department of Pediatric Pulmonology, Faculty of Medicine, Gazi University, Ankara, Turkey 06560
| | - Mehmet Kose
- Department of Pediatric Pulmonology, Faculty of Medicine, Erciyes University, Kayseri, Turkey 38030
| | - Sevgi Pekcan
- Department of Pediatric Pulmonology, Meram Medicine Faculty, Necmettin Erbakan University, Konya, Turkey 42090
| | - Melih Hangul
- Department of Pediatric Pulmonology, Faculty of Medicine, Erciyes University, Kayseri, Turkey 38030
| | - Ozlem Gulbahar
- Department of Medical Biochemistry, Faculty of Medicine, Gazi University, Ankara, Turkey 06560
| | - Mehmet Cingirt
- Department of Medical Biochemistry, Faculty of Medicine, Gazi University, Ankara, Turkey 06560
| | - Tuga Bedir Demirdag
- Department of Pediatric Infectious Diseases, Faculty of Medicine, Gazi University, Ankara, Turkey 06560
| | - Hasan Tezer
- Department of Pediatric Infectious Diseases, Faculty of Medicine, Gazi University, Ankara, Turkey 06560
| | - Isıl Irem Budakoglu
- Department of Medical Education, Faculty of Medicine, Gazi University, Ankara, Turkey 06560
| |
Collapse
|
20
|
Wu J, Pan G, Huang YT, Liu DK, Zeng HX, Zhou XJ, Lai XY, Liu JP. Effects of passive smoking and its duration on the prevalence of prediabetes and type 2 diabetes mellitus in Chinese women. Aging (Albany NY) 2020; 12:9440-9446. [PMID: 32453705 PMCID: PMC7288907 DOI: 10.18632/aging.103217] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 04/18/2020] [Indexed: 12/27/2022]
Abstract
Several studies have shown that active smoking is a risk factor for type 2 diabetes mellitus (T2DM). However, the effects of passive smoking on T2DM remains unknown. In this study, we investigated the effects of passive smoking and its duration on the prevalence of prediabetes and T2DM. According to passive smoking status, participants were divided into Group A (passive smokers) and Group B (controls). Furthermore, Group A was divided into three subgroups according to the duration of passive smoking: Group A1 (≤10 years), Group A2 (10–20 years), and Group A3 (>20 years). We found that the prevalence of impaired glucose tolerance (IGT) in Group A (26.6%), Group A2 (28%), and Group A3 (37.8%) was significantly higher than that in Group B (19.6%), and the prevalence gradually increased with an increase in the duration of passive smoking. Multiple logistic regression analysis showed that passive smoking for >10 years was a risk factor for impaired fasting glucose (IFG), IGT, and T2DM. Therefore, passive smoking not only increases the prevalence of IGT in a time-dependent manner, but also a risk factor for IFG, IGT, and T2DM when its duration is over 10 years.
Collapse
Affiliation(s)
- Juan Wu
- Department of Endocrinology, The Second Affiliated Hospital of Nanchang University, Nanchang 330000, Jiangxi, China
| | - Gui Pan
- Department of Pulmonary and Critical Care Medicine, The Second People's Hospital of Jingdezhen, Jingdezhen 100191, Jiangxi, China
| | - Yan-Ting Huang
- Department of Endocrinology, The Second Affiliated Hospital of Nanchang University, Nanchang 330000, Jiangxi, China
| | - Deng-Ke Liu
- Department of Endocrinology, The Second Affiliated Hospital of Nanchang University, Nanchang 330000, Jiangxi, China
| | - Hai-Xia Zeng
- Department of Endocrinology, The Second Affiliated Hospital of Nanchang University, Nanchang 330000, Jiangxi, China
| | - Xiao-Jun Zhou
- School of Public Health, Nanchang University, Nanchang 330000, Jiangxi, China
| | - Xiao-Yang Lai
- Department of Endocrinology, The Second Affiliated Hospital of Nanchang University, Nanchang 330000, Jiangxi, China
| | - Jian-Ping Liu
- Department of Endocrinology, The Second Affiliated Hospital of Nanchang University, Nanchang 330000, Jiangxi, China
| |
Collapse
|
21
|
Miller RG, Orchard TJ, Costacou T. Risk factors differ by first manifestation of cardiovascular disease in type 1 diabetes. Diabetes Res Clin Pract 2020; 163:108141. [PMID: 32277955 PMCID: PMC7269839 DOI: 10.1016/j.diabres.2020.108141] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 03/17/2020] [Accepted: 04/01/2020] [Indexed: 01/09/2023]
Abstract
AIMS We compared risk factors for three CVD manifestations and a composite outcome over 25 years' follow-up in the Pittsburgh Epidemiology of Diabetes Complications (EDC) prospective cohort study of childhood-onset (<17 years) type 1 diabetes (n = 658). METHODS First CVD manifestations examined were: (1) major atherosclerotic cardiovascular event (MACE, i.e. CVD death, myocardial infarction, stroke), (2) coronary revascularization, (3) soft coronary artery disease (CAD, i.e. ischemia ECG, angina), and a (4) composite (MACE + revascularization) outcome. Baseline and time-varying mean and current risk factors, including medication use, were assessed, in diabetes duration-adjusted models. RESULTS MACE (n = 107) was predicted by ln(albumin excretion rate) (AER, HR = 1.3, p < 0.0001), systolic BP (SBP, HR = 1.03, p < 0.0001), white blood cell count (WBC, HR = 1.2, p < 0.0001), HbA1c (HR = 1.2p = 0.03), LDLc (HR = 1.01, p = 0.03). Soft CAD (n = 91) was predicted by ln(AER) (HR = 1.2, p = 0.004), SBP (HR = 1.03, p = 0.0002), WBC (HR = 1.2, p = 0.0003), HbA1c (HR = 1.2, p = 0.005). Revascularization (n = 38) was predicted by LDLc (HR = 1.03, p < 0.0001), eGFR (HR = 0.98, p = 0.002), HbA1c (HR = 1.3, p = 0.03). Adding revascularization to MACE enhanced the role of LDLc, while diminishing that of HbA1c, compared to MACE alone. CONCLUSIONS Important risk factor associations may be affected by examining composite CVD outcomes. More research is needed to determine how to best incorporate revascularization into composite CVD definitions.
Collapse
Affiliation(s)
- Rachel G Miller
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA 15260, United States.
| | - Trevor J Orchard
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA 15260, United States
| | - Tina Costacou
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA 15260, United States
| |
Collapse
|
22
|
Son YJ, Lee HJ. Association between persistent smoking after a diagnosis of heart failure and adverse health outcomes: A systematic review and meta-analysis. Tob Induc Dis 2020; 18:05. [PMID: 31997987 PMCID: PMC6986333 DOI: 10.18332/tid/116411] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Revised: 11/15/2019] [Accepted: 01/09/2020] [Indexed: 12/16/2022] Open
Abstract
INTRODUCTION Heart failure (HF) is associated with increased mortality worldwide. Adverse health outcomes in HF are commonly attributed to poor adherence to self-care, including smoking cessation. Smoking is the major modifiable risk factor for HF. Patients have been observed to continue smoking even after diagnosis with HF. Despite the possible association between persistent smoking and adverse health outcomes among HF populations, no consensus has been reached. We aimed to review the literature to determine the association between smoking status after HF diagnosis and adverse health outcomes. METHODS A systematic literature search was performed in PubMed, PsycINFO, Web of Science, and Embase. Hand searching was also performed. In total, 9 articles (n=70461) were included in the review for meta-analysis, including seven cohort studies and two cross-sectional studies. Quality was assessed using the modified version of the Newcastle-Ottawa Scale. RESULTS Approximately 16% of HF patients continued smoking after HF diagnosis. Persistent smoking increased the hazard ratio (HR) of mortality by 38.4% (HR=1.384; 95% CI: 1.139-1.681) and readmission by 44.8% (HR=1.448; 95% CI: 1.086-1.930). Our review also found that persistent smoking was associated with poor health status, ventricular tachycardia, and arterial stiffness. CONCLUSIONS This review highlights the importance of assessment for any history of smoking before and after HF diagnosis. There is a need for smoking cessation programs to be established as crucial components of care for patients with HF. More studies are needed to investigate the possible mechanisms underlying relations among smoking patterns and health consequences.
Collapse
Affiliation(s)
- Youn-Jung Son
- Red Cross College of Nursing, Chung-Ang University, Seoul, Republic of Korea
| | - Hyeon-Ju Lee
- Department of Nursing, Tongmyong University, Busan, Republic of Korea
| |
Collapse
|
23
|
Garofolo M, Gualdani E, Giannarelli R, Aragona M, Campi F, Lucchesi D, Daniele G, Miccoli R, Francesconi P, Del Prato S, Penno G. Microvascular complications burden (nephropathy, retinopathy and peripheral polyneuropathy) affects risk of major vascular events and all-cause mortality in type 1 diabetes: a 10-year follow-up study. Cardiovasc Diabetol 2019; 18:159. [PMID: 31733651 PMCID: PMC6858978 DOI: 10.1186/s12933-019-0961-7] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 11/01/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Microvascular complications (MC) have been claimed to increase the risk for cardiovascular disease in diabetic subjects. However, the effect of MC burden on the risk of major vascular outcomes and all-cause mortality in type 1 diabetes is still poorly explored. We evaluated the relationship between microvascular complications burden and incidence of major cardiovascular events and all-cause mortality in subjects with type 1 diabetes. METHODS We recruited 774 participants with type 1 diabetes in a single-center observational study over a follow-up of 10.8 ± 2.5 years. Hazard ratios (HR) for cardiovascular outcomes and all-cause death associated with microvascular complications were determined by unadjusted and adjusted Cox regression analysis. RESULTS Out of 774 individuals, 54.9% had no-MC, 32.3% 1 MC, 9.7% 2 MC and 3.1% 3 MC. A total of 54 deaths (7.0%) occurred. Death rate increased from no-MC 2.1% (Ref) to 1 MC 7.2% (HR 3.54 [95% CI 1.59-7.87]), 2 MC 14.7% (HR 6.41 [95% CI 2.65-15.49]) and 3 MC 66.7% (HR 41.73 [95% CI 18.42-94.57], p < 0.0001). After adjustments, HRs were: 1 MC 2.05 (95% CI 0.88-4.76), 2 MC 1.98 (95% CI 0.75-5.21), 3 MC 7.02 (95% CI 2.44-20.20, p = 0.002). Forty-nine subjects (6.7%) had at least one cardiovascular event, and cumulative incidence went from no-MC 2.2% (Ref) to 1 MC 5.0%; (HR 2.27 [95% CI 0.96-5.38]), 2 MC 26.8% (HR 12.88 [95% CI 5.82-28.50]) and 3 MC 40.9% (HR 29.34 [95% CI 11.59-74.25], p < 0.0001). Upon adjustments, HRs were: 1 MC 1.59 (95% CI 0.65-3.88), 2 MC 4.33 (95% CI 1.75-10.74), 3 MC 9.31 (95% CI 3.18-27.25, p < 0.0001). Thirty-five individuals (4.8%) had at least one coronary event, which cumulative incidence increased with MC burden (p < 0.0001). CONCLUSIONS In type 1 diabetes, microvascular complications burden increases in an independent dose-dependent manner the risk of major cardiovascular outcomes and all-cause mortality. The presence and number of microvascular complications should be considered in stratifying overall cardiovascular risk in type 1 diabetes.
Collapse
Affiliation(s)
- Monia Garofolo
- Section of Diabetes and Metabolic Disease, Department of Clinical and Experimental Medicine, University of Pisa and Azienda Ospedaliero-Universitaria Pisana, Via Paradisa, 2, 56124, Pisa, Italy
| | - Elisa Gualdani
- Epidemiology Unit, Regional Health Agency (ARS) of Tuscany, Florence, Italy
| | - Rosa Giannarelli
- Section of Diabetes and Metabolic Disease, Department of Clinical and Experimental Medicine, University of Pisa and Azienda Ospedaliero-Universitaria Pisana, Via Paradisa, 2, 56124, Pisa, Italy
| | - Michele Aragona
- Section of Diabetes and Metabolic Disease, Department of Clinical and Experimental Medicine, University of Pisa and Azienda Ospedaliero-Universitaria Pisana, Via Paradisa, 2, 56124, Pisa, Italy
| | - Fabrizio Campi
- Section of Diabetes and Metabolic Disease, Department of Clinical and Experimental Medicine, University of Pisa and Azienda Ospedaliero-Universitaria Pisana, Via Paradisa, 2, 56124, Pisa, Italy
| | - Daniela Lucchesi
- Section of Diabetes and Metabolic Disease, Department of Clinical and Experimental Medicine, University of Pisa and Azienda Ospedaliero-Universitaria Pisana, Via Paradisa, 2, 56124, Pisa, Italy
| | - Giuseppe Daniele
- Section of Diabetes and Metabolic Disease, Department of Clinical and Experimental Medicine, University of Pisa and Azienda Ospedaliero-Universitaria Pisana, Via Paradisa, 2, 56124, Pisa, Italy
| | - Roberto Miccoli
- Section of Diabetes and Metabolic Disease, Department of Clinical and Experimental Medicine, University of Pisa and Azienda Ospedaliero-Universitaria Pisana, Via Paradisa, 2, 56124, Pisa, Italy
| | - Paolo Francesconi
- Epidemiology Unit, Regional Health Agency (ARS) of Tuscany, Florence, Italy
| | - Stefano Del Prato
- Section of Diabetes and Metabolic Disease, Department of Clinical and Experimental Medicine, University of Pisa and Azienda Ospedaliero-Universitaria Pisana, Via Paradisa, 2, 56124, Pisa, Italy.
| | - Giuseppe Penno
- Section of Diabetes and Metabolic Disease, Department of Clinical and Experimental Medicine, University of Pisa and Azienda Ospedaliero-Universitaria Pisana, Via Paradisa, 2, 56124, Pisa, Italy
| |
Collapse
|
24
|
Influence of Smoking Status on Risk of Incident Heart Failure: A Systematic Review and Meta-Analysis of Prospective Cohort Studies. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16152697. [PMID: 31362333 PMCID: PMC6696428 DOI: 10.3390/ijerph16152697] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Revised: 07/13/2019] [Accepted: 07/22/2019] [Indexed: 12/25/2022]
Abstract
Smoking is a well-known risk factor for atherosclerotic cardiovascular disease. However, there are insufficient data regarding the predictive influence of smoking status on the risk of incident heart failure (HF). This study involved a systematic review and meta-analysis of prospective cohort studies to identify the association of smoking status with incident risk of HF. Peer-reviewed articles published in PubMed, Embase, Web of Science, Cochrane, and CINAHL up to May 2019 were identified. Seven studies, based on 42,759 participants and 4826 HF cases, were included. Pooled hazard ratios (HRs) and their 95% confidence intervals (CI) were estimated using the fixed effects model. Subgroup analyses were conducted to define possible sources of heterogeneity. Current smokers aged 18 years and over had a greater risk of HF incidence compared with non-smokers (never or former smokers) (HR = 1.609, 95% CI, 1.470–1.761). Additionally, former smokers had a greater risk of HF incidence compared with never smokers (HR = 1.209, 95% CI, 1.084–1.348). The present study highlighted that never smokers have more obvious cardiovascular benefits than current or former smokers. Therefore, health professionals should support cessation at the earliest among current smokers and encourage young people and non-smokers not to start smoking.
Collapse
|
25
|
Wang S, Chen J, Wang Y, Yang Y, Zhang D, Liu C, Wang K. Cigarette Smoking Is Negatively Associated with the Prevalence of Type 2 Diabetes in Middle-Aged Men with Normal Weight but Positively Associated with Stroke in Men. J Diabetes Res 2019; 2019:1853018. [PMID: 31612146 PMCID: PMC6755302 DOI: 10.1155/2019/1853018] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Revised: 08/05/2019] [Accepted: 08/23/2019] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND The prevalence of diabetes and potentially related complications, including stroke, is rapidly increasing in China. The long-term effects of lifestyle may affect glucose metabolism in the general population. Although some studies have shown an association between smoking and the risk of type 2 diabetes mellitus (T2DM), the relationship remains unclear. Furthermore, the relationship between smoking and stroke in patients with T2DM has not been fully elucidated. OBJECTIVE We investigated the influence of cigarette smoking on T2DM and stroke in China. Detailed questionnaires about smoking status and anthropometric measurement were completed by participants, and oral glucose tolerance testing (OGTT), hemoglobin A1c (HbA1c), homeostasis model assessment of IR (HOMA-IR), and blood lipids were measured. RESULTS In total, 8196 adults aged 40 years or older were included. We found a reduced risk of impaired glucose regulation (IGR) and T2DM in male smokers with normal weight (body mass index (BMI) < 25 kg/m2 or waist circumference (WC) < 90 cm) compared with nonsmokers after adjusting for age, alcohol intake, physical activity, educational level, family history of diabetes, SBP, DBP, TG, TC, HDL-C, and LDL-C. However, no significant association was detected in male current smokers with overweight/obesity or female smokers. In addition, compared with nonsmokers without T2DM, current smokers with T2DM had a significantly higher risk of stroke (odds ratio: 2.64, 95% confidence interval: 1.25-5.57; P = 0.011) after adjusting for confounders. CONCLUSIONS Smoking was negatively associated with T2DM in Chinese men of normal body weight, but no significant association was found for men with overweight/obesity or women. In addition, smoking was positively associated with nonfatal stroke, especially in patients with T2DM. Further prospective studies are needed to examine the association between smoking, diabetes, and stroke in different ethnic groups.
Collapse
Affiliation(s)
- Su Wang
- Department of Endocrinology, Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, China
| | - Jie Chen
- Department of Endocrinology, Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Yuzhong Wang
- Department of Geriatrics, Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, China
| | - Yu Yang
- Department of Endocrinology, Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, China
| | - Danyu Zhang
- Department of Endocrinology, Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Chao Liu
- Department of Endocrinology, Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Kun Wang
- Department of Endocrinology, Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, China
| |
Collapse
|