Dataset Information

Perinatal outcomes and congenital heart defect prognosis in 53313 non-selected perinatal infants.

ABSTRACT:

Objective

To evaluate perinatal outcomes and congenital heart defect (CHD) prognosis in a non-selected population.

Methods

The population-based surveillance data used in this assessment of CHDs were based on birth defect surveillance data collected from 2010-2012 in Liuyang City, China. Infants living with CHDs were followed up for 5 years to determine their prognosis. Prevalence, prenatal diagnosis, perinatal outcomes, and total and type-specific prognosis data were assessed using SPSS 18.0.

Results

In total, 190 CHD cases were identified among the 53313 included perinatal infants (PIs), indicating a CHD prevalence of 35.64 per 10000 PIs in this non-selected population. The five most frequently identified types of CHDs were ventricular septal defects (VSDs, 38.95%), atrial septal defects (ASDs, 15.79%), cardiomegaly (7.89%), tetralogy of Fallot (TOF, 5.79%), and atrioventricular septal defects (AVSDs, 5.26%). Of the 190 CHD cases, 110 (57.89%) were diagnosed prenatally, 30 (15.79%) were diagnosed with associated malformations, and 69 (36.32%) resulted in termination of pregnancy (TOP). Moreover, 15 (7.89%) PIs died within 7 days after delivery, and 42 (22.10%) died within 1 year. In contrast, 79 (41.58%) were still alive after 5 years. When TOP cases were included, the 5-year survival rate of PIs with prenatally detected CHDs was lower than that of PIs with postnatally detected CHDs (25.45% vs. 63.75%). The CHD subtype associated with the highest rate of infant (less than 1 year old) mortality was transposition of the great arteries (100%). The subtypes associated with higher 5-year survival rates were patent ductus arteriosus (80%), ASD (63.33%), VSD (52.70%) and AVSD (50%).

Conclusions

The rates of prenatal CHD detection and TOP were high in this study population, and the 5-year survival rate of PIs with CHDs was low. The government should strengthen efforts to educate pediatricians regarding this issue and provide financial assistance to improve the prognosis of infants living with CHDs, especially during the first year of life.

SUBMITTER: Xie D

PROVIDER: S-EPMC5462529 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Publications

Perinatal outcomes and congenital heart defect prognosis in 53313 non-selected perinatal infants.

Xie Donghua D Wang Hua H Liu Zhiyu Z Fang Junqun J Yang Tubao T Zhou Shujin S Wang Aihua A Qin Jiabi J Xiong Lili L

PloS one 20170607 6

<h4>Objective</h4>To evaluate perinatal outcomes and congenital heart defect (CHD) prognosis in a non-selected population.<h4>Methods</h4>The population-based surveillance data used in this assessment of CHDs were based on birth defect surveillance data collected from 2010-2012 in Liuyang City, China. Infants living with CHDs were followed up for 5 years to determine their prognosis. Prevalence, prenatal diagnosis, perinatal outcomes, and total and type-specific prognosis data were assessed usin ...[more]

PMID: 28591192

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Project description:BACKGROUND:The relationship between healthcare system inputs (e.g., human resources and infrastructure) and mortality has been extensively studied. However, the association between healthcare system inputs and patient-reported outcomes remains unclear. Hence, we explored the predictive value of human resources and infrastructures of the countries' healthcare system on patient-reported outcomes in adults with congenital heart disease. METHODS:This cross-sectional study included 3588 patients with congenital heart disease (median age?=?31y; IQR?=?16.0; 52% women; 26% simple, 49% moderate, and 25% complex defects) from 15 countries. The following patient-reported outcomes were measured: perceived physical and mental health, psychological distress, health behaviors, and quality of life. The assessed inputs of the healthcare system were: (i) human resources (i.e., density of physicians and nurses, both per 1000 people) and (ii) infrastructure (i.e., density of hospital beds per 10,000 people). Univariable, multivariable, and sensitivity analyses using general linear mixed models were conducted, adjusting for patient-specific variables and unmeasured country differences. RESULTS:Sensitivity analyses showed that higher density of physicians was significantly associated with better self-reported physical and mental health, less psychological distress, and better quality of life. A greater number of nurses was significantly associated with better self-reported physical health, less psychological distress, and less risky health behavior. No associations between a higher density of hospital beds and patient-reported outcomes were observed. CONCLUSIONS:This explorative study suggests that density of human resources for health, measured on country level, are associated with patient-reported outcomes in adults with congenital heart disease. More research needs to be conducted before firm conclusions about the relationships observed can be drawn. TRIAL REGISTRATION:ClinicalTrials.gov: NCT02150603. Registered 30 May 2014.

Dataset Information

Perinatal outcomes and congenital heart defect prognosis in 53313 non-selected perinatal infants.

Objective

Methods

Results

Conclusions

Publications

Perinatal outcomes and congenital heart defect prognosis in 53313 non-selected perinatal infants.

Similar Datasets

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