Metabolic Syndrome
What's New
Last Posted: May 09, 2024
- Genetic counseling access and service delivery in New York State is variable for parents of infants with complex CFTR genotypes conferring uncertain phenotypes.
Denise M Kay et al. Pediatr Pulmonol 2024 - International Perspectives of Extended Genetic Sequencing When Used as Part of Newborn Screening to Identify Cystic Fibrosis.
Corinna C A Clark et al. Int J Neonatal Screen 2024 10(2) - Cardiovascular Risk Factors Among First-Degree Relatives of Patients with Premature Cardiovascular Disease in Malta. Baseline Findings from the CRISO Project.
Justin Lee Mifsud et al. Vasc Health Risk Manag 2024 20167-176 - Cystic Fibrosis Foundation Evidence-Based Guideline for the Management of CRMS/CFSPID.
Deanna M Green et al. Pediatrics 2024 - Stakeholder Views of the Proposed Introduction of Next Generation Sequencing into the Cystic Fibrosis Screening Protocol in England.
Pru Holder et al. Int J Neonatal Screen 2024 10(1) - The Psychological Impact on Parents of Children who Receive an Inconclusive Diagnosis for Cystic Fibrosis following Newborn Screening: A Systematic Mini-Review.
Ioanna Loukou et al. Children (Basel) 2024 11(1) - Metabolic syndrome prediction using non-invasive and dietary parameters based on a support vector machine.
Sahar Mohseni-Takalloo et al. Nutr Metab Cardiovasc Dis 2023 - Optimization of performance of Dutch newborn screening for cystic fibrosis.
M J Bouva et al. J Cyst Fibros 2023 - Hepatic Involvement across the Metabolic Syndrome Spectrum: Non-Invasive Assessment and Risk Prediction Using Machine Learning.
Adelaida Solomon et al. J Clin Med 2023 12(17) - Use of Apolipoprotein B in the Era of Precision Medicine: Time for a Paradigm Change?
Justine Cole et al. J Clin Med 2023 12(17) - Diagnostic challenges in CFTR-related metabolic syndrome: Where the guidelines fall short.
Erin F Kallam et al. Paediatr Respir Rev 2023 - Children with cystic fibrosis are still receiving inconclusive diagnosis despite undergoing newborn screening.
Ioanna Loukou et al. Acta Paediatr 2023 - Machine learning framework for atherosclerotic cardiovascular disease risk assessment.
Parya Esmaeili et al. J Diabetes Metab Disord 2023 22(1) 423-430 - Applications of artificial intelligence-machine learning for detection of stress: a critical overview.
Alexios-Fotios A Mentis et al. Molecular psychiatry 2023 - Outcomes of children with cystic fibrosis screen positive, inconclusive diagnosis/CFTR related metabolic syndrome.
Mohini A Gunnett et al. Frontiers in pediatrics 2023 111127659 - Immunoreactive Trypsinogen in Infants Born to Women with Cystic Fibrosis Taking Elexacaftor-Tezacaftor-Ivacaftor.
Payal Patel et al. International journal of neonatal screening 2023 9(1) - Association of triglyceride-glucose index with atherosclerotic cardiovascular disease and mortality among familial hypercholesterolemia patients.
Jun Wen et al. Diabetology & metabolic syndrome 2023 15(1) 39 - Artificial intelligence and body composition.
Prasanna Santhanam et al. Diabetes & metabolic syndrome 2023 17(3) 102732 - The Progress and Pitfalls of Pharmacogenetics-Based Precision Medicine in Schizophrenia Spectrum Disorders: A Systematic Review and Meta-Analysis
Y Teng et al, J Per Med, March 4, 2023 - A Multicentre Italian Study on the Psychological Impact of an Inconclusive Cystic Fibrosis Diagnosis after Positive Neonatal Screening.
Antonella Tosco et al. Children (Basel, Switzerland) 2023 10(2)
More
About HLBS-PopOmics
HLBS-PopOmics is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to Heart and Vascular Diseases(H), Lung Diseases(L), Blood Diseases(B), and Sleep Disorders(S)...more
Content Summary
Common HLBS Health Categories
Site Citation:
Mensah GA, Yu W, Barfield WL, Clyne M, Engelgau MM, Khoury MJ. HLBS-PopOmics: an online knowledge base to accelerate dissemination and implementation of research advances in population genomics to reduce the burden of heart, lung, blood, and sleep disorders. Genet Med. 2018 Sep 10. doi: 10.1038/s41436-018-0118-1
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
- Page last updated:May 18, 2024
- Content source: