Respiratory Failure
What's New
Last Posted: Nov 14, 2023
- Robust airway microbiome signatures in acute respiratory failure and hospital-acquired pneumonia.
Emmanuel Montassier et al. Nat Med 2023 11 - Prediction of respiratory failure risk in patients with pneumonia in the ICU using ensemble learning models.
Guanqi Lyu et al. PLoS One 2023 18(9) e0291711 - Machine learning links unresolving secondary pneumonia to mortality in patients with severe pneumonia, including COVID-19.
Catherine A Gao et al. J Clin Invest 2023 - Discriminating Acute Respiratory Distress Syndrome from other forms of respiratory failure via iterative machine learning.
Afshin-Pour Babak et al. Intelligence-based medicine 2023 100087 - Genomics and phenomics of body mass index reveals a complex disease network.
Huang Jie et al. Nature communications 2022 12 (1) 7973 - Risk Variants in the Exomes of Children With Critical Illness.
Motelow Joshua E et al. JAMA network open 2022 5(10) e2239122 - Gene Therapy for Duchenne Muscular Dystrophy: Unlocking the Opportunities in Countries in the Middle East and Beyond.
Elbashir Haitham et al. Journal of neuromuscular diseases 2022 - Current Practices for Genetic Testing in Neonatal Extracorporeal Membrane Oxygenation: Findings from a National survey.
Wild K Taylor et al. Perfusion 2022 2676591221130178 - Evaluating High-Dimensional Machine Learning Models to Predict Hospital Mortality Among Older Patients With Cancer.
Qiao Edmund M et al. JCO clinical cancer informatics 2022 6e2100186 - Outcome prediction during an ICU surge using a purely data-driven approach: A supervised machine learning case-study in critically ill patients from COVID-19 Lombardy outbreak.
Greco Massimiliano et al. International journal of medical informatics 2022 164104807 - HLA and amyotrophic lateral sclerosis: a systematic review and meta-analysis.
Nona R J et al. Amyotrophic lateral sclerosis & frontotemporal degeneration 2022 1-9 - Early prediction of moderate-to-severe condition of inhalation-induced acute respiratory distress syndrome via interpretable machine learning.
Wu Junwei et al. BMC pulmonary medicine 2022 22(1) 193 - Machine learning-based in-hospital mortality prediction of HIV/AIDS patients with Talaromyces marneffei infection in Guangxi, China.
Shi Minjuan et al. PLoS neglected tropical diseases 2022 16(5) e0010388 - Combining chest X-rays and electronic health record (EHR) data using machine learning to diagnose acute respiratory failure.
Jabbour Sarah et al. Journal of the American Medical Informatics Association : JAMIA 2022 - Genome-wide analysis provides genetic evidence that ACE2 influences COVID-19 risk and yields risk scores associated with severe disease
JE Horowitz et al, Nature Genetics, March 4, 2022 - HLA-B*07:02 and HLA-C*07:02 are associated with trimethoprim-sulfamethoxazole respiratory failure
JL Goldman et al, The PGX journal, February 2022 - New antisense oligonucleotide therapies reach first base in ALS
A Lopez, Nature Medicine, January 24, 2022 - Machine Learning Algorithms to Predict Mortality of Neonates on Mechanical Intubation for Respiratory Failure.
Hsu Jen-Fu et al. Biomedicines 2021 9(10) - Remote-Management of COPD: Evaluating the Implementation of Digital Innovation to Enable Routine Care (RECEIVER): the protocol for a feasibility and service adoption observational cohort study.
Taylor Anna et al. BMJ open respiratory research 2021 8(1) - Risdiplam-Treated Infants with Type 1 Spinal Muscular Atrophy versus Historical Controls.
Darras Basil T et al. The New England journal of medicine 2021 385(5) 427-435
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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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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.
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- Page last updated:May 03, 2024
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