| Literature DB >> 28377538 |
Mingzhu Xu, Jialiang Xu, Xiangjun Yang1.
Abstract
BACKGROUND: Previous studies have demonstrated that asthma might be associated with an increase in cardiovascular disease (CVD) and death. However, this relationship differs by gender.Entities:
Mesh:
Year: 2017 PMID: 28377538 PMCID: PMC6150547 DOI: 10.5144/0256-4947.2017.99
Source DB: PubMed Journal: Ann Saudi Med ISSN: 0256-4947 Impact factor: 1.526
Figure 1Flow chart of study selection process.
Baseline characteristics of the ten cohort studies of asthma and cardiovascular diseases and all-cause mortality.
| First author, year | Location | Study design | Participant | Age | CVD event | Assessment of asthma | Duration (years) | Adjustment for covariates |
|---|---|---|---|---|---|---|---|---|
|
| ||||||||
| Iribarren, 2004 | USA | Retrospective | M 70047 | 18–85 | CHD | Self-reported doctor diagnosis or inpatient admission for asthma | 27 | Age, race/ethnicity, education level, smoking status, alcohol consumption, BMI, TC, WBC, HTN, diabetes, parental history of CHD, and occupational exposures |
| Marco, 2005 | Italy | Prospective | 6031 | 20–44 | CVD and all-cause mortality | Self-reported doctor diagnosis | 7 | Age, sex and centre |
| Schanen, 2005 | USA | Prospective | 13501 | 45–64 | CVD | Self-reported doctor diagnosis | 14 | Age, sex, race/centre, HDL-C, LDL-C, SBP, hypertension medication use, smoking status, pack years, W/H ratio, diabetes diagnosis, sport score |
| Bellia, 2007 | Italy | Prospective | 1233 | ≥65 | CVD and all-cause mortality | Respiratory questionnaire | 5 | Smoking, comorbidity, and underweight |
| Onufrak, 2008 | USA | Prospective | 14567 | 45–64 | CVD | Self-reported doctor diagnosis | 13 | Age, BMI, black race, diabetes, HTN, education level, LDL-C, HDL-C, physical activity |
| Hyun, 2012 | USA | Retrospective | 7176 | - | CHD | Rochester epidemiology project | Asthma 7 | Race, diabetes, RA and IBD |
| Chung (ACS), 2014 | Taiwan | Retrospective | 38840 | ≥18 | ACS | Physicians | 16 | Age, sex, HTN, diabetes, hyperlipidemia, Stroke, heart failure, COPD and smoking |
| Chung (Stroke), 2014 | Taiwan | Retrospective | 72587 | ≥18 | Stroke | Physicians | Asthma 7.21 | Age, sex, AF, HTN, hyperlipidemia, heart failure, alcoholism, obesity, COPD, DVT, CAD |
| Matthew, 2015 | USA | Prospective | 6792 | 62 | CVD and all-cause mortality | Self-reported doctor diagnosis | 5 | Age, race, sex, TC, HDL-C, SBP, smoking, diabetes, antihypertensive and lipid-lowering medication used at baseline, BMI, family history of CVD, income |
| Yunus, 2015 | Denmark | Prospective | 94079 | 20–100 | CVD and all-cause mortality | Self-reported doctor diagnosis | 4.5 | Age, BMI, physical activity in leisure-time, education, income, alcohol consumption, smoking, SBP, DBP, TC, LDL-C, HDL-C, TG, diabetes, use of cholesterol-lowing medication, presence of diabetes |
BMI:body mass index; TC: total cholesterol; WBC: white blood cell; HTN: hypertension; CHD: coronary heart disease; HDL-C: high-density lipoprotein cholesterol; LDL-C: low-density lipoprotein cholesterol; SBP: systolic blood pressure; RA: rheumatoid arthritis; IBD: inflammatory bowel disease; COPD: chronic obstructive pulmonary disease; DVT: deep vein thrombosis; CAD: coronary artery disease;
Study quality of included studies based on the Newcastle-Ottawa scale.
| Author | Represent activeness of the exposed cohort | Selection of the non-exposed cohort | Ascertainment of exposure | Demonstration that outcome of interest was not present at start of study | Comparability of cohorts on the basis of the design or analysis | Ascertainment of outcome | Was follow-up long enough for outcomes to occur | Adequacy of follow up of cohort | Total scores |
|---|---|---|---|---|---|---|---|---|---|
|
| |||||||||
| Iribarren, 2004 | ★ | ★ | ★ | ★ | ★★ | ★ | ★ | ★ | 9 |
| Marco, 2005 | ★ | ★ | ★ | ⋆ | ★⋆ | ★ | ★ | ★ | 7 |
| Schanen, 2005 | ★ | ★ | ★ | ⋆ | ★★ | ★ | ★ | ★ | 8 |
| Bellia, 2007 | ★ | ★ | ★ | ⋆ | ★⋆ | ★ | ★ | ★ | 7 |
| Onufrak, 2008 | ★ | ★ | ★ | ⋆ | ★★ | ★ | ★ | ⋆ | 7 |
| Hyun, 2012 | ★ | ★ | ★ | ★ | ★⋆ | ★ | ★ | ★ | 8 |
| Chung(ACS), 2014 | ★ | ★ | ★ | ★ | ★★ | ★ | ★ | ⋆ | 8 |
| Chung(Stroke)m 2014 | ★ | ★ | ★ | ★ | ★★ | ★ | ★ | ⋆ | 8 |
| Matthew, 2015 | ★ | ★ | ★ | ⋆ | ★★ | ★ | ★ | ★ | 8 |
| Yunus, 2015 | ★ | ★ | ★ | ⋆ | ★★ | ★ | ★ | ★ | 8 |
See quality assessment in methods for explanation of ratings.
Figure 2Forest plot for random-effect analysis of the association between asthma and cardiovascular diseases for eight studies.
Figure 3Forest plot for random-effect analysis of the association between asthma and all-cause mortality from four studies.
Figure 4Forest plot for random-effect analysis of association between cardiovascular diseases and men and women with asthma.
Figure 5Funnel plot to examine publication bias in eight studies.