scholarly journals Risk factors of different congenital heart defects in Guangdong, China

2015 ◽  
Vol 79 (4) ◽  
pp. 549-558 ◽  
Author(s):  
Yanqiu Ou ◽  
Jinzhuang Mai ◽  
Jian Zhuang ◽  
Xiaoqing Liu ◽  
Yong Wu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Congenital Heart Defects ◽  
Congenital Heart ◽  
Heart Defects

Congenital heart defects according to the types of the risk factors – a single center experience

2018 ◽  
Vol 32 (21) ◽  
pp. 3606-3611 ◽  
Author(s):  
Jan Pavlicek ◽  
Eva Klaskova ◽  
Martin Prochazka ◽  
Erika Dolezalkova ◽  
David Matura ◽  
...  
Keyword(s):  
Risk Factors ◽  
Congenital Heart Defects ◽  
Congenital Heart ◽  
Heart Defects ◽  
Single Center ◽  
Single Center Experience

Maternal risk factors for congenital heart defects in infants with Down syndrome from Western Mexico

2019 ◽  
Author(s):  
Jorge Román Corona‐Rivera ◽  
Rafael Nieto‐García ◽  
Andrea S. Gutiérrez‐Chávez ◽  
Lucina Bobadilla‐Morales ◽  
Izabel M. Rios‐Flores ◽  
...  
Keyword(s):  
Risk Factors ◽  
Down Syndrome ◽  
Congenital Heart Defects ◽  
Congenital Heart ◽  
Heart Defects ◽  
Maternal Risk Factors ◽  
Maternal Risk ◽  
Western Mexico

Gestational and family risk factors for carriers of congenital heart defects in southern Brazil

2011 ◽  
Vol 53 (4) ◽  
pp. 551-557 ◽  
Author(s):  
Tatiana Diehl Zen ◽  
Rafael Fabiano Machado Rosa ◽  
Paulo Ricardo Gazzola Zen ◽  
Patrícia Trevisan ◽  
Alessandra Pawelec da Silva ◽  
...  
Keyword(s):  
Risk Factors ◽  
Congenital Heart Defects ◽  
Congenital Heart ◽  
Heart Defects ◽  
Southern Brazil ◽  
Family Risk Factors ◽  
Family Risk

scholarly journals Risk factors of acute cardiac surgery-associated kidney injury in newborns and infants with congenital heart defects

2019 ◽  
Vol 64 (2) ◽  
pp. 63-67
Author(s):  
A. A. Seliverstova ◽  
N. D. Savenkova ◽  
S. P. Marchenko
Keyword(s):  
Risk Factors ◽  
Cardiac Surgery ◽  
Blood Plasma ◽  
Congenital Heart Defects ◽  
Congenital Heart ◽  
Heart Defects ◽  
Significant Risk ◽  
Kidney Injury ◽  
Lung Ventilation ◽  
In Blood Plasma

Objective. To identify risk factors for acute cardiac surgery-associated kidney damage in 214 newborns and infants with congenital heart defects. Results. 54.7% of 95 newborns and 46.2% of 119 infants have acute cardiac surgery-associated kidney injury. There have been determined statistically significant risk factors of acute cardiac surgery-associated kidney injury: in newborns – the level of lactate in blood plasma more than 2.5 mmol/l and artificial lung ventilation (87.1% as compared to 39.1% without these factors; 93.8 and 46.8% accordingly; р<0.001), in infants – level of lactate in blood plasma more than 2.5 mmol/l before surgery as compared to those without these factors (96.4% as compared to 30.8% without this factor; р<0.001).

scholarly journals Profile and risk factors for congenital heart defects: A study in a tertiary care hospital

2016 ◽  
Vol 9 (3) ◽  
pp. 216 ◽  
Author(s):  
Shaad Abqari ◽  
Akash Gupta ◽  
Tabassum Shahab ◽  
MU Rabbani ◽  
SManazir Ali ◽  
...  
Keyword(s):  
Risk Factors ◽  
Congenital Heart Defects ◽  
Congenital Heart ◽  
Tertiary Care Hospital ◽  
Heart Defects ◽  
Tertiary Care ◽  
Care Hospital

scholarly journals Maternal sociodemographic characteristics, early pregnancy behaviours, and livebirth outcomes as congenital heart defects risk factors - Northern Ireland 2010-2014

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hafi Saad ◽  
Marlene Sinclair ◽  
Brendan Bunting
Keyword(s):  
Risk Factors ◽  
Northern Ireland ◽  
Birth Outcomes ◽  
Congenital Heart Defects ◽  
Early Pregnancy ◽  
Gestational Age ◽  
Congenital Heart ◽  
Heart Defects ◽  
Sociodemographic Characteristics ◽  
History Of

Abstract Background Congenital Heart Defects (CHD) is the most commonly occurring congenital anomaly in Europe and a major paediatric health care concern. Investigations are needed to enable identification of CHD risk factors as studies have given conflicting results. This study aim was to identify maternal sociodemographic characteristics, behaviours, and birth outcomes as risk factors for CHD. This was a population based, data linkage cohort study using anonymised data from Northern Ireland (NI) covering the period 2010-2014. The study cohort composed of 94,067 live births with an outcome of 1162 cases of CHD using the International Statistical Classification of Diseases and Related Health Problems (ICD)-10 codes and based on the European Surveillance of Congenital Anomalies (EUROCAT) grouping system for CHD. CHD cases were obtained from the HeartSuite database (HSD) at the Royal Belfast Hospital for Sick Children (RBHSC), maternal data were extracted from the Northern Ireland Maternity System (NIMATS), and medication data were extracted from the Enhanced Prescribing Database (EPD). STATA version 14 was used for the statistical analysis in this study, Odds Ratio (OR), 95% Confident intervals (CI), P value, and logistic regression were used in the analysis. Ethical approval was granted from the National Health Service (NHS) Research Ethics Committee. Result In this study, a number of potential risk factors were assessed for statistically significant association with CHD, however only certain risk factors demonstrated a statistically significant association with CHD which included: gestational age at first booking (AOR = 1.21; 95% CI = 1.04-1.41; P < 0.05), family history of CHD or congenital abnormalities and syndromes (AOR = 4.14; 95% CI = 2.47-6.96; P < 0.05), woman’s smoking in pregnancy (AOR = 1.22; 95% CI = 1.04-1.43; P < 0.05), preterm birth (AOR = 3.01; 95% CI = 2.44-3.01; P < 0.05), multiple births (AOR = 1.89; 95% CI = 1.58-2.60; P < 0.05), history of abortion (AOR = 1.12; 95% CI = 1.03-1.28; P < 0.05), small for gestational age (SGA) (AOR = 1.44; 95% CI = 1.22-1.78; P < 0.05), and low birth weight (LBW) (AOR = 3.10; 95% CI = 2.22-3.55; P < 0.05). Prescriptions and redemptions of antidiabetic (AOR = 2.68; 95% CI = 1.85-3.98; P < 0.05), antiepileptic (AOR = 1.77; 95% CI = 1.10-2.81; P < 0.05), and dihydrofolate reductase inhibitors (DHFRI) (AOR = 2.13; 95% CI = 1.17-5.85; P < 0.05) in early pregnancy also showed evidence of statistically significant association with CHD. Conclusion The results of this study suggested that there are certain maternal sociodemographic characteristics, behaviours and birth outcomes that are statistically significantly associated with higher risk of CHD. Appropriate prevention policy to target groups with higher risk for CHD may help to reduce CHD prevalence. These results are important for policy makers, obstetricians, cardiologists, paediatricians, midwives and the public.

scholarly journals Noninherited Risk Factors of Congenital Heart Defects in Offspring: A Revi

2017 ◽  
Vol 41 (1) ◽  
pp. 40-52
Author(s):  
Mohammad Abdullah Al Mamun ◽  
Manzoor Hussain ◽  
Mohammad Nurul Akhtar Hasan ◽  
Rezoana Rima
Keyword(s):  
Risk Factors ◽  
Congenital Heart Defects ◽  
Low Socioeconomic Status ◽  
Congenital Heart ◽  
Burden Of Illness ◽  
Heart Defects ◽  
Environmental Exposures ◽  
Population Based ◽  
Cardiovascular Development ◽  
Lack Of Information

Prognosis of children with congenital heart defects (CHDs) continues to improve with advancement in technology and training in pediatric cardiology and cardiac surgery; however, lack of information about risk factors for malformations in cardiovascular development impeded the prevention of CHDs. Etiology of CHDs are complex and possibly lies within the interaction of environmental exposures and inherited factors. Studies found multiple maternal environmental exposures, including living in newly renovated rooms, residential proximity to main traffic, smoking and maternal occupation as manual worker significantly associated with CHDs. Advanced maternal age, low socioeconomic status, maternal perinatal diseases including maternal fever, diabetes, influenza, maternal certain medication use and alcohol intake were also significantly associated with CHDs. Isolated CHDs and multiple defects have different profiles of risk factors, while subtype of CHDs share common risk factors. Because of differences in methods, these studies are only suggestive. Relatively less information has been reported on noninherited factors that may have an adverse effect on the cardiovascular development, which has made it difficult to create population-based strategies to reduce the burden of illness from CHDs and for couples to choose lifestyles to reduce the risk of delivering a child with CHDs.Bangladesh J Child Health 2017; VOL 41 (1) :40-52

scholarly journals Patterns, prevalence, risk factors, and survival of newborns with congenital heart defects in a Saudi population: a three-year, cohort case-control study

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Muhammad Ali Majeed-Saidan ◽  
Merna Atiyah ◽  
Amer N. Ammari ◽  
Amal M. AlHashem ◽  
Maha S. Rakaf ◽  
...  
Keyword(s):  
Risk Factors ◽  
Congenital Heart Defects ◽  
Congenital Heart ◽  
Case Control Study ◽  
Heart Defects ◽  
Case Control ◽  
Saudi Population ◽  
Control Study

Nongenetic Risk Factors and Congenital Heart Defects

2013 ◽  
Vol 34 (7) ◽  
pp. 1535-1555 ◽  
Author(s):  
Sonali S. Patel ◽  
Trudy L. Burns
Keyword(s):  
Risk Factors ◽  
Congenital Heart Defects ◽  
Congenital Heart ◽  
Heart Defects

scholarly journals Results from a Case-Control Study of Risk Factors for Congenital Heart Defects in Saudi Arabian Infants

2006 ◽  
Vol 163 (suppl_11) ◽  
pp. S57-S57 ◽  
Author(s):  
A L Sandridge ◽  
P Doyle ◽  
M Al-Jufan ◽  
I Al-Khalifa
Keyword(s):  
Risk Factors ◽  
Congenital Heart Defects ◽  
Congenital Heart ◽  
Case Control Study ◽  
Heart Defects ◽  
Saudi Arabian ◽  
Case Control ◽  
Control Study
Sign in / Sign up

Export Citation Format

Share Document