scholarly journals Incidence and risk factors of congenital heart disease in Qingdao: a prospective cohort study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiao Jin ◽  
Wei Ni ◽  
Guolan Wang ◽  
Qin Wu ◽  
Jun Zhang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Congenital Heart Disease ◽  
Logistic Regression ◽  
Cohort Study ◽  
Heart Disease ◽  
Congenital Heart ◽  
First Trimester ◽  
Chd Risk ◽  
Positive Rate ◽  
Chd Risk Factors

Abstract Background Many studies have been conducted to assess the incidence of congenital heart disease (CHD). However, results were greatly inconsistent among these studies with a broad range of findings. Methods A prospective census-based cohort study was conducted in Qingdao, China, from August 1, 2018 to April 30, 2019. All of the local registered pregnant women were continuously investigated and followed from 15 to 20 weeks of gestation to delivery, tracking the CHD cases in both the fetal and neonatal stages. A logistic regression model was applied to assess the association between CHD and possible risk factors. Results The positive rate of prenatal CHD screening was 14.36 per 1000 fetuses and the incidence of CHD was 9.38 per 1000 live births. Results from logistic regression indicated that, living in the countryside (odds ratio, (OR): 0.771; 95% confidence interval, (CI): 0.628–0.946) and having a childbearing history (OR: 0.802; 95%CI: 0.676–0.951) were negatively associated with CHD. However, twin pregnancy (OR: 1.957, 95% CI: 1.245–3.076), illness in the first trimester (OR: 1.306; 95% CI: 1.048–1.628), a family history of CHD (OR: 7.156; 95% CI: 3.293–15.552), and having a child with a birth defect (OR: 2.086; 95% CI: 1.167–3.731) were positively associated with CHD. Conclusion CHD is a serious health problem in Qingdao. The CHD incidence found in this study was similar to existing research. The positive rate of prenatal CHD screening was higher than the incidence of neonatal CHD. Moreover, CHD risk factors were identified in our study, and our findings may have great implications for formation CHD intervention strategies.

Abstract P192: Metabolomic Profiles Associated with Coronary Heart Disease in Women

Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Nina P Paynter ◽  
Raji Balasubramanian ◽  
Shuba Gopal ◽  
Franco Giulianini ◽  
Leslie Tinker ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Logistic Regression ◽  
Heart Disease ◽  
Tier 2 ◽  
Validation Data ◽  
Data Set ◽  
Chd Risk ◽  
Tier 1 ◽  
Chd Risk Factors

Background: Prior studies of metabolomic profiles and coronary heart disease (CHD) have been limited by relatively small case numbers and scant data in women. Methods: The discovery set examined 371 metabolites in 400 confirmed, incident CHD cases and 400 controls (frequency matched on age, race/ethnicity, hysterectomy status and time of enrollment) in the Women’s Health Initiative Observational Study (WHI-OS). All selected metabolites were validated in a separate set of 394 cases and 397 matched controls drawn from the placebo arms of the WHI Hormone Therapy trials and the WHI-OS. Discovery used 4 methods: false-discovery rate (FDR) adjusted logistic regression for individual metabolites, permutation corrected least absolute shrinkage and selection operator (LASSO) algorithms, sparse partial least squares discriminant analysis (PLS-DA) algorithms, and random forest algorithms. Each method was performed with matching factors only and with matching plus both medication use (aspirin, statins, anti-diabetics and anti-hypertensives) and traditional CHD risk factors (smoking, systolic blood pressure, diabetes, total and HDL cholesterol). Replication in the validation set was defined as a logistic regression coefficient of p<0.05 for the metabolites selected by 3 or 4 methods (tier 1), or a FDR adjusted p<0.05 for metabolites selected by only 1 or 2 methods (tier 2). Results: Sixty-seven metabolites were selected in the discovery data set (30 tier 1 and 37 tier 2). Twenty-six successfully replicated in the validation data set (21 tier 1 and 5 tier 2), with 25 significant with adjusting for matching factors only and 11 significant after additionally adjusting for medications and CHD risk factors. Validated metabolites included amino acids, sugars, nucleosides, eicosanoids, plasmologens, polyunsaturated phospholipids and highly saturated triglycerides. These include novel metabolites as well as metabolites such as glutamate/glutamine, which have been shown in other populations. Conclusions: Multiple metabolites in important physiological pathways with robust associations for risk of CHD in women were identified and replicated. These results may offer insights into biological mechanisms of CHD as well as identify potential markers of risk.

scholarly journals High carbohydrate intake increases risk of coronary heart disease in adults: a prospective cohort study

2019 ◽  
Vol 38 (2) ◽  
pp. 90
Author(s):  
Sulistyowati Tuminah Darjoko ◽  
Tri Wahyuningsih ◽  
Sudikno Sudikno
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Cohort Study ◽  
Heart Disease ◽  
Total Energy ◽  
Carbohydrate Intake ◽  
Health Examination ◽  
Chd Risk ◽  
History Of ◽  
Chd Risk Factors

Background<br />Coronary heart disease (CHD) ranks second after diabetes mellitus (DM) based on hazard rate, and after stroke (based on number of deaths caused). Our aim was to determine the risk factor and magnitude of CHD among adults. <br /><br />Methods <br />A cohort study on risk factors of non-communicable diseases (CS-RFNCD) was conducted on subjects aged ≥25 years. Initiated by screening, follow-up (FU) was done 3 times yearly and complete health examination every 2 years. CHD cases screened by electrocardiographic examination on subjects aged ≥40 years and &lt;40 years with history of hypertension and/or heart disease. Screening results found 840 of 5690 subjects with CHD diagnosis who were excluded from cohort study sample. Non-CHD subjects and those aged &lt;40 years without a history of hypertension and/or heart disease, totalling 4840 people, were included in study sample and followed up for 6 years. Data were analyzed using Cox regression.<br /><br />Results<br />Carbohydrate intake of ≥60% of total energy had a 2.8-fold higher CHD risk [HR=2.790; 95% CI: 1.962 - 3.967; p=0.000] than that of an intake of &lt;60% of total energy. Age of ≥55 years had 2.6-fold higher CHD risk [HR=2.573; 95% CI: 1.803 - 3.671; p=0.000] than age of &lt;55 years. Blood total cholesterol of <span style="text-decoration: underline;">≥</span>200 mg/dL had 1.9-fold higher CHD risk [HR=1.893; 95% CI: 1.319 - 2.715; p=0.001] than that of &lt;200 mg/dL.<br /><br />Conclusion<br />Higher intake of carbohydrate increases CHD incidence among adults. Efforts in controlling CHD risk factors are still needed especially in consumption behavior through a family approach.

scholarly journals 488 Candidacy for heart transplantation in adult congenital heart disease patients: a single-centre, retrospective, cohort study

2021 ◽  
Vol 23 (Supplement_G) ◽  
Author(s):  
Emanuela Concetta D’Angelo ◽  
Emanuela Angeli ◽  
Luca Ragni ◽  
Gaetano Domenico Gargiulo ◽  
Andrea Donti ◽  
...  
Keyword(s):  
Risk Factors ◽  
Congenital Heart Disease ◽  
Cohort Study ◽  
Heart Disease ◽  
High Risk ◽  
Retrospective Cohort ◽  
Congenital Heart ◽  
Adult Congenital Heart Disease ◽  
Adult Congenital ◽  
End Stage

Abstract Aims End-stage heart failure (HF) is the leading cause of death in adult congenital heart disease (ACHD) population. Heart transplantation (HTx) improves prognosis in ACHD end-stage HF but candidacy evaluation, referral pattern, and correct listing timing are not fully elucidated in this population. To evaluate factors associated to refusal from Htx in ACHD patients with end-stage HF referred for HTx evaluation. Methods and results This retrospective cohort study enrolled consecutive ACHD patients considered for HTx in our institution between 2014 and 2020 and patients undergone HTx between 2000 and 2013. Refusal from HTx served as primary study endpoint. Between 2014 and 2020, 46 ACHD patients were evaluated for HTx, 14 ACHD patients underwent HTx between 2001 and 2013. The main indication to HTx in patients with single ventricle physiology was Fontan failure, while in patients with systemic left ventricle and systemic right ventricle physiology, it was systemic ventricular dysfunction. We compared clinical, anatomical and demographic data of 41 patients accepted for transplantation with 15 patients refused after screening. Risk factors for refusal were: coexistence of multiple high risk features [odds ratio (OR): 3.6; 95% confidence interval (CI): 1.1–12.9; P 0.048]; anatomical factors (OR: 14.5; 95% CI: 3.1–68.4; P 0.001), out-of-centre ACHD/HTx program referral (OR: 5.3; 95% CI: 1.5 to 19.0; p 0.01). Survival in patients accepted for HTx was significantly higher than survival in patients declined from HTx with landmark comparison at 20, 40 and 60 months of 87%, 78%, and 72% vs. 70%, 59%, and 20%, respectively. HTx refusal identifies a high risk ACHD patient subgroup (hazard ratio for overall mortality: 3.1; 95% CI: 1.1–8.3; P 0.02). Conclusions In our study risk factors for refusal from HTx are adverse anatomical features, coexistence of multiple conventional HTx high risk factors and out-of-centre referral. ACHD patients refused from HTx present shorter time to death. Efforts to increase HTx candidacy and to reduce referral delay in tertiary centre are strongly necessary for this growing population.

scholarly journals Neighbourhood maternal socioeconomic status indicators and risk of congenital heart disease

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Qun Miao ◽  
Sandra Dunn ◽  
Shi Wu Wen ◽  
Jane Lougheed ◽  
Jessica Reszel ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Congenital Heart Disease ◽  
Heart Disease ◽  
Household Income ◽  
Congenital Heart ◽  
Population Based ◽  
Income Poverty ◽  
Lower Odds ◽  
Logistic Regression Models ◽  
Chd Risk

Abstract Background This study aimed to examine the relationships between various maternal socioeconomic status (SES) indicators and the risk of congenital heart disease (CHD). Methods This was a population-based retrospective cohort study, including all singleton stillbirths and live births in Ontario hospitals from April 1, 2012 to March 31, 2018. Multivariable logistic regression models were performed to examine the relationships between maternal neighbourhood household income, poverty, education level, employment and unemployment status, immigration and minority status, and population density and the risk of CHD. All SES variables were estimated at a dissemination area level and categorized into quintiles. Adjustments were made for maternal age at birth, assisted reproductive technology, obesity, pre-existing maternal health conditions, substance use during pregnancy, rural or urban residence, and infant’s sex. Results Of 804,292 singletons, 9731 (1.21%) infants with CHD were identified. Compared to infants whose mothers lived in the highest income neighbourhoods, infants whose mothers lived in the lowest income neighbourhoods had higher likelihood of developing CHD (adjusted OR: 1.29, 95% CI: 1.20–1.38). Compared to infants whose mothers lived in the neighbourhoods with the highest percentage of people with a university or higher degree, infants whose mothers lived in the neighbourhoods with the lowest percentage of people with university or higher degree had higher chance of CHD (adjusted OR: 1.34, 95% CI: 1.24–1.44). Compared to infants whose mothers lived in the neighbourhoods with the highest employment rate, the odds of infants whose mothers resided in areas with the lowest employment having CHD was 18% higher (adjusted OR: 1.18, 95% CI: 1.10–1.26). Compared to infants whose mothers lived in the neighbourhoods with the lowest proportion of immigrants or minorities, infants whose mothers resided in areas with the highest proportions of immigrants or minorities had 18% lower odds (adjusted OR: 0.82, 95% CI: 0.77–0.88) and 16% lower odds (adjusted OR: 0.84, 95% CI: 0.78–0.91) of CHD, respectively. Conclusion Lower maternal neighbourhood household income, poverty, lower educational level and unemployment status had positive associations with CHD, highlighting a significant social inequity in Ontario. The findings of lower CHD risk in immigrant and minority neighbourhoods require further investigation.

Risk Factors for Gross Motor Dysfunction in Infants With Congenital Heart Disease

2011 ◽  
Vol 24 (3) ◽  
pp. 246-258 ◽  
Author(s):  
Suzanne H. Long ◽  
Bev J. Eldridge ◽  
Mary P. Galea ◽  
Susan R. Harris
Keyword(s):  
Risk Factors ◽  
Congenital Heart Disease ◽  
Heart Disease ◽  
Congenital Heart ◽  
Motor Dysfunction ◽  
Gross Motor

Nineteen Years of Adult Congenital Heart Surgery in a Single Center

2017 ◽  
Vol 8 (2) ◽  
pp. 182-188
Author(s):  
Madurra Perinpanayagam ◽  
Signe H. Larsen ◽  
Kristian Emmertsen ◽  
Marianne B. Møller ◽  
Vibeke E. Hjortdal
Keyword(s):  
Risk Factors ◽  
Congenital Heart Disease ◽  
Cardiac Surgery ◽  
Heart Disease ◽  
Postoperative Complications ◽  
Adverse Events ◽  
Congenital Heart ◽  
Postoperative Bleeding ◽  
Registration System ◽  
Growing Population

Background: Adults with congenital heart disease are a growing population. We describe surgical interventions, short- and long-term mortality and morbidity, and risk factors for adverse events in a population-based cohort. Methods: Patients over or equal to 18 years with congenital heart disease who underwent cardiac surgery at Aarhus University Hospital, Denmark, from 1994 to 2012 were included in the study. Diagnoses, surgical procedures, postoperative complications, and survival were identified in hospital databases, medical records, and the Danish Civil Registration System. Results: Four hundred seventy-four surgeries were performed in 445 adults (50% men). The median age was 39 years (range 18-83). Thirty-nine percent had previous surgical or catheter-based interventions. Thirty-day and in-hospital mortality were 1.1%. Postoperative complications occurred in 50% of cases, most were minor such as temporary arrhythmias and pneumonia. Major complications included postoperative bleeding necessitating intervention (6%), stroke (2%), and acute temporary renal failure (1%). Multivariate analysis identified RACHS-1 categories over or equal to 3 compared to category 1 (odds ratio (OR) = 2.3; 95% confidence interval (CI): 1.5-3.7), New York Heart Association functional class III and IV compared to class I (OR = 2.2; 95% CI: 1.3-3.7) and age at surgery (OR = 1.03, 95% CI: 1.01-1.04), as risk factors for adverse events. Survival during a median follow-up of 7.8 years (range 0 days-21.4 years) was 85% (95% CI: 80%-89%). Conclusion: Adults with congenital heart disease constitute a growing population with the need for cardiac surgery. Postoperative complications are frequent but early and late mortality are low.

scholarly journals The Impact of Risk Factors for Coronary Heart Disease on Related Disability in Older Irish Adults

2017 ◽  
Vol 31 (1) ◽  
pp. 165-184 ◽  
Author(s):  
Sharon M. Cruise ◽  
John Hughes ◽  
Kathleen Bennett ◽  
Anne Kouvonen ◽  
Frank Kee
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Northern Ireland ◽  
Physical Inactivity ◽  
Relative Risks ◽  
Chd Risk ◽  
Health And Social Care ◽  
Chd Risk Factors ◽  
The Impact

Objective: The aim of this study is to examine the prevalence of coronary heart disease (CHD)–related disability (hereafter also “disability”) and the impact of CHD risk factors on disability in older adults in the Republic of Ireland (ROI) and Northern Ireland (NI). Method: Population attributable fractions were calculated using risk factor relative risks and disability prevalence derived from The Irish Longitudinal Study on Ageing and the Northern Ireland Health Survey. Results: Disability was significantly lower in ROI (4.1% vs. 8.8%). Smoking and diabetes prevalence rates, and the fraction of disability that could be attributed to smoking (ROI: 6.6%; NI: 6.1%), obesity (ROI: 13.8%; NI: 11.3%), and diabetes (ROI: 6.2%; NI: 7.2%), were comparable in both countries. Physical inactivity (31.3% vs. 54.8%) and depression (10.2% vs. 17.6%) were lower in ROI. Disability attributable to depression (ROI: 16.3%; NI: 25.2%) and physical inactivity (ROI: 27.5%; NI: 39.9%) was lower in ROI. Discussion: Country-specific similarities and differences in the prevalence of disability and associated risk factors will inform public health and social care policy in both countries.

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