Last Posted: Apr 25, 2024
Spotlight
Latest News and Publications
Identifying dementia from cognitive footprints in hospital records among Chinese older adults: a machine-learning study.
Jiayi Zhou et al. Lancet Reg Health West Pac 2024 46101060
Discovery of common molecular signatures and drug repurposing for COVID-19/Asthma comorbidity: ACE2 and multi-partite networks.
Xu Jiajun, et al. Cell cycle (Georgetown, Tex.) 2024 0 0. 1-30
The role of colchicine in the management of COVID-19: a Meta-analysis.
Elshiwy Kholoud, et al. BMC pulmonary medicine 2024 0 0. (1) 190
Diagnosing Cystic Fibrosis in the 21st Century-A Complex and Challenging Task.
Dana-Teodora Anton-Paduraru et al. Diagnostics (Basel) 2024 14(7)
Family cascade screening for equitable identification of familial hypercholesterolemia: study protocol for a hybrid effectiveness-implementation type III randomized controlled trial.
Christina Johnson et al. Implement Sci 2024 19(1) 30
Impact of Race, Socioeconomic Status, and Geography on Healthcare Outcomes for Children With Sickle Cell Disease in the United States: A Scoping Review.
Sameerah Wahab et al. Cureus 2024 16(3) e56089
Prevalence of elevated lipoprotein(a) in cardiac rehabilitation patients - results from a large-scale multicentre registry in Germany.
Christoph Altmann et al. Clin Res Cardiol 2024
The Evolution of Genetic Testing from Focused Testing to Panel Testing and from Patient Focused to Population Testing: Are We There Yet?
Lauren Gima et al. Clin Colon Rectal Surg 2024 37(3) 133-139
Assessing Biological Age: The Potential of ECG Evaluation Using Artificial Intelligence: JACC Family Series.
Francisco Lopez-Jimenez et al. JACC Clin Electrophysiol 2024
Deep learning evaluation of echocardiograms to identify occult atrial fibrillation.
Neal Yuan et al. NPJ Digit Med 2024 7(1) 96
Development of a Non-Invasive Machine-Learned Point-of-Care Rule-Out Test for Coronary Artery Disease.
Timothy Burton et al. Diagnostics (Basel) 2024 14(7)
Infodemiology of Influenza-like Illness: Utilizing Google Trends' Big Data for Epidemic Surveillance.
Dong-Her Shih et al. J Clin Med 2024 13(7)
Many Models, Little Adoption-What Accounts for Low Uptake of Machine Learning Models for Atrial Fibrillation Prediction and Detection?
Yuki Kawamura et al. J Clin Med 2024 13(5)
Non-Invasive Heart Failure Evaluation Using Machine Learning Algorithms.
Odeh Adeyi Victor et al. Sensors (Basel) 2024 24(7)
Scalable Approach to Consumer Wearable Postmarket Surveillance: Development and Validation Study.
Richard M Yoo et al. JMIR Med Inform 2024 12e51171
Unlocking new potential of clinical diagnosis with artificial intelligence: Finding new patterns of clinical and lab data.
Pradeep Kumar Dabla et al. World J Diabetes 2024 15(3) 308-310
Pulmonary alveolar proteinosis following severe COVID - 19 infection: A case report.
Martin Samina, et al. Respiratory medicine case reports 2024 0 0. 102017
Characteristics of SARS-CoV-2 Omicron BA.5 variants in Shanghai after ending the zero-COVID policy in December 2022: a clinical and genomic analysis.
Liu Pengcheng, et al. Frontiers in microbiology 2024 0 0. 1372078
Next-generation sequencing of host genetics risk factors associated with COVID-19 severity and long-COVID in Colombian population.
Angulo-Aguado Mariana, et al. Scientific reports 2024 0 0. (1) 8497
A focused update to the 2019 NLA scientific statement on use of lipoprotein(a) in clinical practice.
Marlys L Koschinsky et al. J Clin Lipidol 2024
Cystic Fibrosis Foundation Evidence-Based Guideline for the Management of CRMS/CFSPID.
Deanna M Green et al. Pediatrics 2024
Ethical use of artificial intelligence to prevent sudden cardiac death: an interview study of patient perspectives.
Menno T Maris et al. BMC Med Ethics 2024 25(1) 42
Evaluating thromboprophylaxis in the sickle cell disease population: Navigating the evidence gap.
Jennifer Davila et al. Br J Haematol 2024
Genetic testing in cardiovascular disease.
Michael P Gray et al. Med J Aust 2024
Newborn Screening for Severe T and B Cell Lymphopenia Using TREC/KREC Detection: A Large-Scale Pilot Study of 202,908 Newborns.
Andrey V Marakhonov et al. J Clin Immunol 2024 44(4) 93
The outcome of genetic and non-genetic pediatric cardiomyopathies.
Ali AlAlakhfash et al. Egypt Heart J 2024 76(1) 43
A comprehensive review on efficient artificial intelligence models for classification of abnormal cardiac rhythms using electrocardiograms.
Utkarsh Gupta et al. Heliyon 2024 10(5) e26787
Artificial intelligence-guided detection of under-recognized cardiomyopathies on point-of-care cardiac ultrasound.
Evangelos K Oikonomou et al. medRxiv 2024
Automated Extraction of Stroke Severity from Unstructured Electronic Health Records using Natural Language Processing.
Marta Fernandes et al. medRxiv 2024
Comprehensive evaluation and performance analysis of machine learning in heart disease prediction.
Halah A Al-Alshaikh et al. Sci Rep 2024 14(1) 7819
Machine learning methods, applications and economic analysis to predict heart failure hospitalisation risk: a scoping review protocol.
Joana Seringa et al. BMJ Open 2024 14(4) e083188
Machine Learning-Based Prediction of Stroke in Emergency Departments.
Vida Abedi et al. Ther Adv Neurol Disord 2024 1717562864241239108
Performance of risk models to predict mortality risk for patients with heart failure: evaluation in an integrated health system.
Faraz S Ahmad et al. Clin Res Cardiol 2024
Towards classification and comprehensive analysis of AI-based COVID-19 diagnostic techniques: A survey.
Kosar Amna, et al. Artificial intelligence in medicine 2024 0 0. 102858
Use of artificial intelligence to develop predictive algorithms of cough and PCR-confirmed COVID-19 infections based on inputs from clinical-grade wearable sensors.
Walter Jessica R, et al. Scientific reports 2024 0 0. (1) 8072
Adapting, restarting, and terminating a randomised control trial for people with cystic fibrosis: Reflections on the impact of the COVID-19 pandemic upon research in a clinical population.
Tomlinson Owen W, et al. Contemporary clinical trials communications 2024 0 0. 101294
COVID-19 Vaccination in Patients with Inborn Errors of Immunity Reduces Hospitalization and Critical Care Needs Related to COVID-19: a USIDNET Report.
McDonnell John, et al. Journal of clinical immunology 2024 0 0. (4) 86
Immunoglobulin G4-related disease and B-cell malignancy due to an IKZF1 gain-of-function variant.
García-Solís Blanca, et al. The Journal of allergy and clinical immunology 2024 0 0.
Novel genetic association of the Furin gene polymorphism rs1981458 with COVID-19 severity among Indian populations.
Pandey Rudra Kumar, et al. Scientific reports 2024 0 0. (1) 7822
A scoping review of web-based, interactive, personalized decision-making tools available to support breast cancer treatment and survivorship care.
Kaitlyn M Wojcik et al. J Cancer Surviv 2024
Spotlight
Exagamglogene Autotemcel for Severe Sickle Cell Disease
(Posted Apr 25, 2024 8AM)
From the abstract: "We conducted a phase 3, single-group, open-label study of exa-cel in patients 12 to 35 years of age with sickle cell disease who had had at least two severe vaso-occlusive crises in each of the 2 years before screening. CD34+ HSPCs were edited with the use of CRISPR-Cas9...A total of 44 patients received exa-cel, and the median follow-up was 19.3 months...Treatment with exa-cel eliminated vaso-occlusive crises in 97% of patients with sickle cell disease for a period of 12 months or more. "
Impact of Race, Socioeconomic Status, and Geography on Healthcare Outcomes for Children With Sickle Cell Disease in the United States: A Scoping Review
(Posted Apr 19, 2024 10AM)
From the abstract: "A large proportion of patients with sickle cell disease (SCD) identify as Black or African American (AA). Social bias and stigma in healthcare outcomes for children with SCD are impossible to explore without considering the impact of racial/cultural identity, socioeconomic status (SES), and geography. It is important to understand the current influences of social movements, expanded health insurance coverage, and telehealth on these variables when considering healthcare outcomes for patients with SCD. "
Family cascade screening for equitable identification of familial hypercholesterolemia: study protocol for a hybrid effectiveness-implementation type III randomized controlled trial
(Posted Apr 19, 2024 10AM)
From the abstract: " Familial hypercholesterolemia (FH) is a heritable disorder affecting 1.3 million individuals in the USA. Eighty percent of people with FH are undiagnosed, particularly minoritized populations including Black or African American people, Asian or Asian American people, and women across racial groups. Family cascade screening is an evidence-based practice that can increase diagnosis and improve health outcomes but is rarely implemented in routine practice, representing an important care gap. In pilot work, we leveraged best practices from behavioral economics and implementation science—including mixed-methods contextual inquiry with clinicians, patients, and health system constituents—to co-design two patient-facing implementation strategies to address this care gap..."
Birth Prevalence of Sickle Cell Disease and County-Level Social Vulnerability - Sickle Cell Data Collection Program, 11 States, 2016-2020.
Mariam Kayle et al. MMWR Morb Mortal Wkly Rep 2024 3 (12) 248-254 (Posted Apr 02, 2024 10AM)
From the abstract: " Sickle cell disease (SCD) remains a public health priority in the United States because of its association with complex health needs, reduced life expectancy, lifelong disabilities, and high cost of care. A cross-sectional analysis was conducted to calculate the crude and race-specific birth prevalence for SCD using state newborn screening program records during 2016-2020 from 11 Sickle Cell Data Collection program states. The percentage distribution of birth mother residence within Social Vulnerability Index quartiles was derived. Among 3,305 newborns with confirmed SCD (including 57% with homozygous hemoglobin S or sickle ß-null thalassemia across 11 states, 90% of whom were Black or African American [Black], and 4% of whom were Hispanic or Latino), the crude SCD birth prevalence was 4.83 per 10,000 (one in every 2,070) live births and 28.54 per 10,000 (one in every 350) non-Hispanic Black newborns. "
Latest News and Publications
Jiayi Zhou et al. Lancet Reg Health West Pac 2024 46101060
Discovery of common molecular signatures and drug repurposing for COVID-19/Asthma comorbidity: ACE2 and multi-partite networks.
Xu Jiajun, et al. Cell cycle (Georgetown, Tex.) 2024 0 0. 1-30
The role of colchicine in the management of COVID-19: a Meta-analysis.
Elshiwy Kholoud, et al. BMC pulmonary medicine 2024 0 0. (1) 190
Diagnosing Cystic Fibrosis in the 21st Century-A Complex and Challenging Task.
Dana-Teodora Anton-Paduraru et al. Diagnostics (Basel) 2024 14(7)
Family cascade screening for equitable identification of familial hypercholesterolemia: study protocol for a hybrid effectiveness-implementation type III randomized controlled trial.
Christina Johnson et al. Implement Sci 2024 19(1) 30
Impact of Race, Socioeconomic Status, and Geography on Healthcare Outcomes for Children With Sickle Cell Disease in the United States: A Scoping Review.
Sameerah Wahab et al. Cureus 2024 16(3) e56089
Prevalence of elevated lipoprotein(a) in cardiac rehabilitation patients - results from a large-scale multicentre registry in Germany.
Christoph Altmann et al. Clin Res Cardiol 2024
The Evolution of Genetic Testing from Focused Testing to Panel Testing and from Patient Focused to Population Testing: Are We There Yet?
Lauren Gima et al. Clin Colon Rectal Surg 2024 37(3) 133-139
Assessing Biological Age: The Potential of ECG Evaluation Using Artificial Intelligence: JACC Family Series.
Francisco Lopez-Jimenez et al. JACC Clin Electrophysiol 2024
Deep learning evaluation of echocardiograms to identify occult atrial fibrillation.
Neal Yuan et al. NPJ Digit Med 2024 7(1) 96
Development of a Non-Invasive Machine-Learned Point-of-Care Rule-Out Test for Coronary Artery Disease.
Timothy Burton et al. Diagnostics (Basel) 2024 14(7)
Infodemiology of Influenza-like Illness: Utilizing Google Trends' Big Data for Epidemic Surveillance.
Dong-Her Shih et al. J Clin Med 2024 13(7)
Many Models, Little Adoption-What Accounts for Low Uptake of Machine Learning Models for Atrial Fibrillation Prediction and Detection?
Yuki Kawamura et al. J Clin Med 2024 13(5)
Non-Invasive Heart Failure Evaluation Using Machine Learning Algorithms.
Odeh Adeyi Victor et al. Sensors (Basel) 2024 24(7)
Scalable Approach to Consumer Wearable Postmarket Surveillance: Development and Validation Study.
Richard M Yoo et al. JMIR Med Inform 2024 12e51171
Unlocking new potential of clinical diagnosis with artificial intelligence: Finding new patterns of clinical and lab data.
Pradeep Kumar Dabla et al. World J Diabetes 2024 15(3) 308-310
Pulmonary alveolar proteinosis following severe COVID - 19 infection: A case report.
Martin Samina, et al. Respiratory medicine case reports 2024 0 0. 102017
Characteristics of SARS-CoV-2 Omicron BA.5 variants in Shanghai after ending the zero-COVID policy in December 2022: a clinical and genomic analysis.
Liu Pengcheng, et al. Frontiers in microbiology 2024 0 0. 1372078
Next-generation sequencing of host genetics risk factors associated with COVID-19 severity and long-COVID in Colombian population.
Angulo-Aguado Mariana, et al. Scientific reports 2024 0 0. (1) 8497
A focused update to the 2019 NLA scientific statement on use of lipoprotein(a) in clinical practice.
Marlys L Koschinsky et al. J Clin Lipidol 2024
Cystic Fibrosis Foundation Evidence-Based Guideline for the Management of CRMS/CFSPID.
Deanna M Green et al. Pediatrics 2024
Ethical use of artificial intelligence to prevent sudden cardiac death: an interview study of patient perspectives.
Menno T Maris et al. BMC Med Ethics 2024 25(1) 42
Evaluating thromboprophylaxis in the sickle cell disease population: Navigating the evidence gap.
Jennifer Davila et al. Br J Haematol 2024
Genetic testing in cardiovascular disease.
Michael P Gray et al. Med J Aust 2024
Newborn Screening for Severe T and B Cell Lymphopenia Using TREC/KREC Detection: A Large-Scale Pilot Study of 202,908 Newborns.
Andrey V Marakhonov et al. J Clin Immunol 2024 44(4) 93
The outcome of genetic and non-genetic pediatric cardiomyopathies.
Ali AlAlakhfash et al. Egypt Heart J 2024 76(1) 43
A comprehensive review on efficient artificial intelligence models for classification of abnormal cardiac rhythms using electrocardiograms.
Utkarsh Gupta et al. Heliyon 2024 10(5) e26787
Artificial intelligence-guided detection of under-recognized cardiomyopathies on point-of-care cardiac ultrasound.
Evangelos K Oikonomou et al. medRxiv 2024
Automated Extraction of Stroke Severity from Unstructured Electronic Health Records using Natural Language Processing.
Marta Fernandes et al. medRxiv 2024
Comprehensive evaluation and performance analysis of machine learning in heart disease prediction.
Halah A Al-Alshaikh et al. Sci Rep 2024 14(1) 7819
Machine learning methods, applications and economic analysis to predict heart failure hospitalisation risk: a scoping review protocol.
Joana Seringa et al. BMJ Open 2024 14(4) e083188
Machine Learning-Based Prediction of Stroke in Emergency Departments.
Vida Abedi et al. Ther Adv Neurol Disord 2024 1717562864241239108
Performance of risk models to predict mortality risk for patients with heart failure: evaluation in an integrated health system.
Faraz S Ahmad et al. Clin Res Cardiol 2024
Towards classification and comprehensive analysis of AI-based COVID-19 diagnostic techniques: A survey.
Kosar Amna, et al. Artificial intelligence in medicine 2024 0 0. 102858
Use of artificial intelligence to develop predictive algorithms of cough and PCR-confirmed COVID-19 infections based on inputs from clinical-grade wearable sensors.
Walter Jessica R, et al. Scientific reports 2024 0 0. (1) 8072
Adapting, restarting, and terminating a randomised control trial for people with cystic fibrosis: Reflections on the impact of the COVID-19 pandemic upon research in a clinical population.
Tomlinson Owen W, et al. Contemporary clinical trials communications 2024 0 0. 101294
COVID-19 Vaccination in Patients with Inborn Errors of Immunity Reduces Hospitalization and Critical Care Needs Related to COVID-19: a USIDNET Report.
McDonnell John, et al. Journal of clinical immunology 2024 0 0. (4) 86
Immunoglobulin G4-related disease and B-cell malignancy due to an IKZF1 gain-of-function variant.
García-Solís Blanca, et al. The Journal of allergy and clinical immunology 2024 0 0.
Novel genetic association of the Furin gene polymorphism rs1981458 with COVID-19 severity among Indian populations.
Pandey Rudra Kumar, et al. Scientific reports 2024 0 0. (1) 7822
A scoping review of web-based, interactive, personalized decision-making tools available to support breast cancer treatment and survivorship care.
Kaitlyn M Wojcik et al. J Cancer Surviv 2024
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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
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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:Apr 25, 2024
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