scholarly journals Diagnostic Accuracy of Machine Learning Models to Identify Congenital Heart Disease: A Meta-Analysis

2021 ◽  
Vol 4 ◽  
Author(s):  
Zahra Hoodbhoy ◽  
Uswa Jiwani ◽  
Saima Sattar ◽  
Rehana Salam ◽  
Babar Hasan ◽  
...  
Keyword(s):  
Machine Learning ◽  
Neural Networks ◽  
Congenital Heart Disease ◽  
Heart Disease ◽  
Diagnostic Accuracy ◽  
Congenital Heart ◽  
Meta Analysis ◽  
Risk Of Bias ◽  
Cochrane Library ◽  
Reference Standard

Background: With the dearth of trained care providers to diagnose congenital heart disease (CHD) and a surge in machine learning (ML) models, this review aims to estimate the diagnostic accuracy of such models for detecting CHD.Methods: A comprehensive literature search in the PubMed, CINAHL, Wiley Cochrane Library, and Web of Science databases was performed. Studies that reported the diagnostic ability of ML for the detection of CHD compared to the reference standard were included. Risk of bias assessment was performed using Quality Assessment for Diagnostic Accuracy Studies-2 tool. The sensitivity and specificity results from the studies were used to generate the hierarchical Summary ROC (HSROC) curve.Results: We included 16 studies (1217 participants) that used ML algorithm to diagnose CHD. Neural networks were used in seven studies with overall sensitivity of 90.9% (95% CI 85.2–94.5%) and specificity was 92.7% (95% CI 86.4–96.2%). Other ML models included ensemble methods, deep learning and clustering techniques but did not have sufficient number of studies for a meta-analysis. Majority (n=11, 69%) of studies had a high risk of patient selection bias, unclear bias on index test (n=9, 56%) and flow and timing (n=12, 75%) while low risk of bias was reported for the reference standard (n=10, 62%).Conclusion: ML models such as neural networks have the potential to diagnose CHD accurately without the need for trained personnel. The heterogeneity of the diagnostic modalities used to train these models and the heterogeneity of the CHD diagnoses included between the studies is a major limitation.

scholarly journals A systematic review examining the clinical and health-care outcomes for congenital heart disease patients using home monitoring programmes

2021 ◽  
pp. 1357633X2098405
Author(s):  
Rachel Crawford ◽  
Ciara Hughes ◽  
Sonyia McFadden ◽  
Jacqui Crawford
Keyword(s):  
Systematic Review ◽  
Health Care ◽  
Congenital Heart Disease ◽  
Heart Disease ◽  
Congenital Heart ◽  
Case Series ◽  
Home Monitoring ◽  
Risk Of Bias ◽  
Health Care Outcomes ◽  
Care Outcomes

Objectives This review aimed to present the clinical and health-care outcomes for patients with congenital heart disease (CHD) who use home monitoring technologies. Methods Five databases were systematically searched from inception to November 2020 for quantitative studies in this area. Data were extracted using a pre-formatted data-collection table which included information on participants, interventions, outcome measures and results. Risk of bias was determined using the Cochrane Risk of Bias 2 tool for randomised controlled trials (RCTs), the Newcastle–Ottawa Quality Assessment Scale for cohort studies and the Institute of Health Economics quality appraisal checklist for case-series studies. Data synthesis: Twenty-two studies were included in this systematic review, which included four RCTs, 12 cohort studies and six case-series studies. Seventeen studies reported on mortality rates, with 59% reporting that home monitoring programmes were associated with either a significant reduction or trend for lower mortality and 12% reporting that mortality trended higher. Fourteen studies reported on unplanned readmissions/health-care resource use, with 29% of studies reporting that this outcome was significantly decreased or trended lower with home monitoring and 21% reported an increase. Impact on treatment was reported in 15 studies, with 67% of studies finding that either treatment was undertaken significantly earlier or significantly more interventions were undertaken in the home monitoring groups. Conclusion The use of home monitoring programmes may be beneficial in reducing mortality, enabling earlier and more timely detection and treatment of CHD complication. However, currently, this evidence is limited due to weakness in study designs.

scholarly journals Role of TEE in Improving Diagnostic Accuracy of Congenital Heart Disease

2014 ◽  
Vol 2 (2) ◽  
pp. 68-70
Author(s):  
Sandeep Singh Rana ◽  
Balbir Kumar ◽  
Sethu Madhavan J
Keyword(s):  
Congenital Heart Disease ◽  
Heart Disease ◽  
Diagnostic Accuracy ◽  
Multimodal Imaging ◽  
Congenital Heart ◽  
Heart Diseases ◽  
Associated Lesions ◽  
Cardiac Lesions ◽  
Intraoperative Period

ABSTRACT Complex congenital heart diseases (CHD) often present as multiple cardiac lesions. The presence of one anomaly should stimulate the physician to perform a comprehensive assessment and look for other associated anomalies.1 Multimodal imaging may be necessary to diagnose such associated lesions as single imaging may occasionally miss them. Transthoracic echocardiography (TTE) and transesophageal echocardiography (TEE) are complimentary to each other. Routine use of TEE during intraoperative period may help us to refine diagnosis, detect the missing components and guide effective surgical repair. We present one such case where diagnosis and management were optimized by multimodal imaging. How to cite this article Kumar B, Madhavan JS, Puri GD, Rana SS. Role of TEE in Improving Diagnostic Accuracy of Congenital Heart Disease. J Perioper Echocardiogr 2014;2(2):68-70.

scholarly journals Discontinuity of Cardiac Follow‐Up in Young People With Congenital Heart Disease Transitioning to Adulthood: A Systematic Review and Meta‐Analysis

2021 ◽  
Author(s):  
Philip Moons ◽  
Sandra Skogby ◽  
Ewa‐Lena Bratt ◽  
Liesl Zühlke ◽  
Ariane Marelli ◽  
...  
Keyword(s):  
United States ◽  
Systematic Review ◽  
Congenital Heart Disease ◽  
Heart Disease ◽  
Congenital Heart ◽  
Heart Defects ◽  
Meta Analysis ◽  
Transition Programs ◽  
The United States

Background The majority of people born with congenital heart disease require lifelong cardiac follow‐up. However, discontinuity of care is a recognized problem and appears to increase around the transition to adulthood. We performed a systematic review and meta‐analysis to estimate the proportion of adolescents and emerging adults with congenital heart disease discontinuing cardiac follow‐up. In pooled data, we investigated regional differences, disparities by disease complexity, and the impact of transition programs on the discontinuity of care. Methods and Results Searches were performed in PubMed, Embase, Cinahl, and Web of Science. We identified 17 studies, which enrolled 6847 patients. A random effects meta‐analysis of single proportions was performed according to the DerSimonian‐Laird method. Moderator effects were computed to explore sources for heterogeneity. Discontinuity proportions ranged from 3.6% to 62.7%, with a pooled estimated proportion of 26.1% (95% CI, 19.2%–34.6%). A trend toward more discontinuity was observed in simple heart defects (33.7%; 95% CI, 15.6%–58.3%), compared with moderate (25.7%; 95% CI, 15.2%–40.1%) or complex congenital heart disease (22.3%; 95% CI, 16.5%–29.4%) ( P =0.2372). Studies from the United States (34.0%; 95% CI, 24.3%–45.4%), Canada (25.7%; 95% CI, 17.0%–36.7%), and Europe (6.5%; 95% CI, 5.3%–7.9%) differed significantly ( P =0.0004). Transition programs were shown to have the potential to reduce discontinuity of care (12.7%; 95% CI, 2.8%–42.3%) compared with usual care (36.2%; 95% CI, 22.8%–52.2%) ( P =0.1119). Conclusions This meta‐analysis showed that there is a high proportion of discontinuity of care in young people with congenital heart disease. The highest discontinuity proportions were observed in studies from the United States and in patients with simple heart defects. It is suggested that transition programs have a protective effect. Registration URL: www.crd.york.ac.uk/prospero . Unique identifier: CRD42020182413.

scholarly journals Oximetry and neonatal examination for the detection of critical congenital heart disease: a systematic review and meta-analysis

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 242 ◽  
Author(s):  
Hernán Camilo Aranguren Bello ◽  
Dario Londoño Trujillo ◽  
Gloria Amparo Troncoso Moreno ◽  
Maria Teresa Dominguez Torres ◽  
Alejandra Taborda Restrepo ◽  
...  
Keyword(s):  
Systematic Review ◽  
Congenital Heart Disease ◽  
Heart Disease ◽  
Physical Examination ◽  
Congenital Heart ◽  
Heart Defects ◽  
Meta Analysis ◽  
Review Of The Literature ◽  
Critical Congenital Heart Disease ◽  
Operational Characteristics

Background: Undiagnosed congenital heart disease in the prenatal stage can occur in approximately 5 to 15 out of 1000 live births; more than a quarter of these will have critical congenital heart disease (CCHD). Late postnatal diagnosis is associated with a worse prognosis during childhood, and there is evidence that a standardized measurement of oxygen saturation in the newborn by cutaneous oximetry is an optimal method for the detection of CCHD. We conducted a systematic review of the literature and meta-analysis comparing the operational characteristics of oximetry and physical examination for the detection of CCHD. Methods: A systematic review of the literature was conducted on the following databases including published studies between 2002 and 2017, with no language restrictions: Pubmed, Science Direct, Ovid, Scopus and EBSCO, with the following keywords: oximetry screening, critical congenital heart disease, newborn OR oximetry screening heart defects, congenital, specificity, sensitivity, physical examination. Results: A total of 419 articles were found, from which 69 were selected based on their titles and abstracts. After quality assessment, five articles were chosen for extraction of data according to inclusion criteria; data were analyzed on a sample of 404,735 newborns in the five included studies. The following values were found, corresponding to the operational characteristics of oximetry in combination with the physical examination: sensitivity: 0.92 (CI 95%, 0.87-0.95), specificity: 0.98 (CI 95%, 0.89-1.00), for physical examination alone sensitivity: 0.53 (CI 95%, 0.28-0.78) and specificity: 0.99 (CI 95%, 0.97-1.00). Conclusions: Evidence found in different articles suggests that pulse oximetry in addition to neonatal physical examination presents optimal operative characteristics that make it an adequate screening test for detection of CCHD in newborns, above all this is essential in low and middle-income settings where technology medical support is not entirely available.

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