Perspective from the CTP Director: FDA’s Preparations for the Sept. 9 Submission Deadline |
Today, FDA Center for Tobacco Products (CTP) Director Mitch Zeller published a perspective piece on preparations that the center has been taking for the upcoming Sept. 9, 2020 premarket review submission deadline for deemed new tobacco products and the guiding principles for allocating product review resources. As the result of a court order (and a subsequent extension due to the unique circumstances of the COVID-19 pandemic), applications for deemed new tobacco products on the market as of Aug. 8, 2016 are due to FDA by Sept. 9, 2020. The court order also provided a one-year period during which products with timely-filed applications might remain on the market pending FDA review. Director Zeller’s statement covers several important topics, such as:
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Since Congress authorized FDA to regulate tobacco products in 2009, CTP’s staff has increased from just a handful to over 950 today. During that time, CTP has built product review expertise and refined its premarket review processes, enhanced technical capabilities, issued rules and guidances, met with stakeholders to get a better understanding of tobacco products and applicants’ needs for information about the process, invested in tobacco product research, and provided resources to help industry prepare and submit premarket applications. These actions have prepared the center to receive, process, and review applications in a timely manner. FDA strives to review as many applications as possible during this one-year period and the agency has been developing a review process aimed at maximizing the number of products reviewed while ensuring the greatest public health impact. As always, FDA intends to be fair in allocating resources to reviewing different types of applications—for different types of products and companies—and as transparent as possible while meeting all necessary requirements. FDA plans to update the public and release information regularly as the agency refines plans for allocating product review resources and the process by which products would move into scientific review. |
lunes, 31 de agosto de 2020
Perspective: FDA’s Preparations for the September 9 Submission Deadline | FDA
Perspective: FDA’s Preparations for the September 9 Submission Deadline | FDA
CMS NEWS: CMS Acts to Spur Innovation for America’s Seniors
CMS NEWS
FOR IMMEDIATE RELEASE
August 31, 2020
August 31, 2020
Contact: CMS Media Relations
(202) 690-6145 | CMS Media Inquiries
(202) 690-6145 | CMS Media Inquiries
CMS Acts to Spur Innovation for America’s Seniors
Proposed rule would bring new treatments, tests and medical technologies to Medicare beneficiaries faster
Today, under President Trump’s leadership, the Centers for Medicare & Medicaid Services (CMS) issued a proposed rule that unleashes innovative technology so Medicare beneficiaries have access to the latest, most cutting-edge devices. Today’s action represents a step forward that will help demolish the existing bureaucratic barriers that have created a “valley of death” for innovative products, resulting in lag times and lack of access for America’s seniors. This proposed rule delivers on President Trump’s direction to cut government red tape so seniors can access the latest treatments, which he issued in his Executive Order on Protecting and Improving Medicare for Our Nation’s Seniors.
“President Trump is delivering on the promise he made to Americans: a better, stronger Medicare program for today and the years ahead,” said U.S. Department of Health and Human Services (HHS) Secretary Alex Azar. “This new proposal would give Medicare beneficiaries faster access to the latest lifesaving technologies and provide more support for breakthrough innovations by finally delivering Medicare reimbursement at the same time as FDA approval.”
“For new technologies, CMS coverage approval has been a chicken and egg issue. Innovators had to prove their technologies were appropriate for seniors, but that was almost impossible since the technology was not yet covered by Medicare and thus not widely used enough to demonstrate their suitability for Medicare beneficiaries,” said CMS Administrator Seema Verma. “These efforts will ensure seniors get access to the latest technologies while lowering costs for innovators. Arcane bureaucratic requirements have no business preventing seniors’ access to a technology that might save their lives.”
Today’s announcement of the Medicare Coverage of Innovative Technology (MCIT) (CMS-3372-P) proposed rule, would provide Medicare beneficiaries access to the latest medical technology faster than ever. Under current rules, FDA approval of a device is followed by an often lengthy and costly process for Medicare coverage. The lag time between the two has been called the “valley of death” for innovative products, with innovators spending time and resources on FDA approval, only to be forced to spend additional time and money on the Medicare coverage process. This represents not only an unnecessary waste of resources for innovators, but also a significant problem for America’s seniors, who are prevented access to these potentially lifesaving technologies during the existing Medicare coverage determination process.
The MCIT proposal would eliminate this lag time for both seniors and innovators. It would create a new, accelerated Medicare coverage process for innovative products that the FDA deems “breakthrough,” which FDA approves on an expedited basis and could include devices harnessing new technologies like implants or gene-based tests to diagnose or treat life-threatening or irreversibly debilitating diseases or conditions like cancer and heart disease. Under the proposal, Medicare would provide national coverage simultaneously with FDA approval, for a period of four years. After that time, CMS may reevaluate the device based on clinical and real-world evidence of improvement in health outcomes among Medicare beneficiaries. This four-year timeline would incentivize the manufacturers of these breakthrough devices to develop additional evidence regarding the applicability of their products to the Medicare population, so they might continue Medicare coverage beyond the initial four years.
Importantly, because the MCIT rule would provide national Medicare coverage for four years, it would streamline identical local coverage decisions (LCDs), promoting equal access for seniors and helping innovators focus on getting their devices to patients and clinicians. Currently, under the LCD process, 16 Medicare Administrative Contractors (MACs) make Medicare coverage decisions on the local level – 12 for Medicare Parts A and B, and four for Durable Medical Equipment. Each MAC’s decisions apply only to that MAC’s jurisdiction. In the absence of national Medicare coverage for an innovative product, the product could be covered by a patchwork of LCDs, meaning a senior in one area could have access, while another senior in a different area would not. Additionally, to secure these LCDs, innovators can be forced to seek separate decisions from several MACs. MCIT breaks through this bureaucracy to help innovators and seniors alike. Under MCIT, breakthrough devices are given automatic national coverage for four years, simultaneous with FDA approval, meaning innovators do not need to seek coverage from the MACs.
This proposed rule would also allow Medicare to cover eligible breakthrough devices the FDA has approved for use in 2019 or 2020, giving Medicare beneficiaries immediate access to these innovative and potentially life-saving devices.
Additionally, the MCIT proposed rule would clarify the standard CMS uses to determine whether Medicare should cover a product, like a drug, device, or biologic. Under the Medicare law, the program can only pay for items or services that are “reasonable and necessary” for the Medicare population. If finalized, the MCIT proposal would clarify CMS’ definition of reasonable and necessary in regulation to give innovators a clearer understanding of CMS standards.
Today’s announcement also implements a major CMS effort to provide better customer service for innovators seeking Medicare coverage for their products. This takes the form of a coordinated, one-stop-shop internal structure that harmonizes the coverage, coding, and payment processes. This new internal coordination will help CMS better assist innovators as they seek to secure Medicare coverage and payment for their newly FDA-approved products. This effort includes a new pilot project under which knowledgeable CMS staff will guide innovators through the coverage, coding, and payment processes to cut through confusion and, ultimately, help Medicare deliver critical new technologies to seniors more quickly.
In addition to the proposed rule and the internal changes, CMS is also announcing that, in an effort to ensure certainty and clarity for stakeholders, the agency has significantly reduced a backlog of requests for National Coverage Determinations (NCDs), some of which have been on a list awaiting approval since 2014. In 2019 there were 11 NCD applications waiting for CMS review. By the end of 2020, CMS will have addressed nine of those 11. One of the remaining two is being handled by local Medicare Administrative Contractors (MACs) and the second is undergoing additional clinical trials.
Public comments on the proposed rule will be accepted until November 2, 2020.
For a fact sheet on the proposed rule (CMS-3372-P), please visit: https://www.cms.gov/newsroom/ fact-sheets/proposed-medicare- coverage-innovative- technology-cms-3372-p
The proposed rule (CMS-3372-P) can be downloaded from the Federal Register at:
What's New at HCUP User Support
Save these Dates for Upcoming HCUP Webinars
Learn About HCUP During the September 16 and September 23 Webinar Series
Registration opens September 9, 2020 for the 2020 Healthcare Cost and Utilization Project (HCUP) Fall Webinar Series sponsored by the Agency for Healthcare Research and Quality (AHRQ). The webinars are open to the public and geared to health services and policy researchers and other users interested in hospital inpatient and hospital outpatient use and cost data. Space will be limited.
Overview of the HCUP Databases
Wednesday, September 16, from 2:00-3:00 PM ET.
This session will introduce health services and policy researchers to HCUP with a project overview, explain the HCUP Partnership, discuss the making of the HCUP State and nationwide databases, and finally review how to obtain and access the data as well as other HCUP resources.
Overview of the HCUP Products and Tools
Wednesday, September 23, from 2:00-3:00 PM ET.
This session will introduce health services and policy researchers to the HCUP products and tools, including the free online query tools HCUPnet and Fast Stats, explain how to add value to your data with HCUP Supplemental files and software, and provide an overview of our publications and associated resources. Additional time will be dedicated to reviewing HCUP's newest tool, the Clinical Classifications Software Refined (CCSR) for ICD-10-CM Diagnoses.
For complete information, please visit the HCUP-US website at www.hcup-us.ahrq.gov/hcup_web_ wkshop.jsp. For questions, please contact hcup@ahrq.gov.
CMS Acts to Spur Innovation for America’s Seniors | CMS
CMS Acts to Spur Innovation for America’s Seniors | CMS
CMS Acts to Spur Innovation for America’s Seniors
Today, under President Trump’s leadership, the Centers for Medicare & Medicaid Services (CMS) issued a proposed rule that unleashes innovative technology so Medicare beneficiaries have access to the latest, most cutting-edge devices. A copy of today’s announcement can be found here.
Digital health [NEW TOPIC PAGE]
Hot Topics of the Day|PHGKB
Last Posted: Aug 29, 2020
Last Posted: Aug 29, 2020
- Challenges for the evaluation of digital health solutions—A call for innovative evidence generation approaches
C Guo et al, NPJ Digital Medicine, August 27, 2020 - The Role of Digital Health Technologies in Drug Development: Proceedings of a Workshop
NASEM Roundtable on Genomics and Precision Health Workshop, 2020 - The Need for Developing Technology-enabled, Safe and Ethical Workforce for Healthcare Delivery.
Sarbadhikari S N et al. Safety and health at work 2020 Aug - Bridging digital health divides
A Agrawal, Science, August 28, 2020 - Artificial intelligence in medical imaging: switching from radiographic pathological data to clinically meaningful endpoints
O Oren et al, Lancet Digital Health, September 1, 2020 - From Patient Engagement to Precision Oncology: Leveraging Informatics to Advance Cancer Care.
Griffin Ashley C et al. Yearbook of medical informatics 2020 Aug 29(1) 235-242 - Regulatory, safety, and privacy concerns of home monitoring technologies during COVID-19
S Gerke et al, Nature Medicine, August 7, 2020 - Health Policy and Privacy Challenges Associated With Digital Technology
D Grande et al, JAMA Network Open, August 9, 2020 - Build trust in digital health
Nature Medicine editorial, August 7, 2020 - Use of electronic tools for evidence-based preparedness and response to the COVID-19 pandemic in the WHO African region
B Impouma et al Lancet Digital Health, August 7, 2020
Genetic risk score [NEW TOPIC PAGE]
Hot Topics of the Day|PHGKB
Last Posted: Aug 28, 2020
Last Posted: Aug 28, 2020
- Genetic Disease Risk Impacted by Entire Genome, Study Reveals
J Kent, Health Analytics, August 27, 2020 - Polygenic background modifies penetrance of monogenic variants for tier 1 genomic conditions
AC Fahed et al, Nature Communications, August 20, 2020 - A single nucleotide polymorphism genetic risk score to aid diagnosis of coeliac disease: a pilot study in clinical care.
Sharp Seth A et al. Alimentary pharmacology & therapeutics 2020 Aug - Next steps in the identification of gene targets for type 1 diabetes.
Grant Struan F A et al. Diabetologia 2020 Aug - Genetic risk scores for coronary artery disease and its traditional risk factors: Their role in the progression of coronary artery calcification-Results of the Heinz Nixdorf Recall study.
Pechlivanis Sonali et al. PloS one 2020 15(5) e0232735 - A Four Gene-Based Risk Score System Associated with Chemoradiotherapy Response and Tumor Recurrence in Rectal Cancer by Co-Expression Network Analysis.
Sun Yanwu et al. OncoTargets and therapy 2020 136721-6733 - A combined risk score enhances prediction of type 1 diabetes among susceptible children
LA Ferrat et al, Nature Medicine, August 7, 2020 - Genome-wide Modeling of Polygenic Risk Score in Colorectal Cancer Risk.
Thomas Minta et al. American journal of human genetics 2020 Jul - Validation of a Genome-Wide Polygenic Score for Coronary Artery Disease in South Asians
M Wang et al, JACC, August 6, 2020 - Combined Utility of 25 Disease and Risk Factor Polygenic Risk Scores for Stratifying Risk of All-Cause Mortality
A Meisner et al, AJHG, August 5, 2020
Artificial intelligence [NEW TOPIC PAGE]
Hot Topics of the Day|PHGKB
Last Posted: Aug 31, 2020
Last Posted: Aug 31, 2020
- Artificial intelligence manages congenital cataract with individualized prediction and telehealth computing
E Long et al, NPJ Digital Medicine, August 28, 2020 - External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms
JM Salim et al, JAMA Oncology, August 27, 2020 - Is Artificial Intelligence Better Than Human Clinicians in Predicting Patient Outcomes?
Lee Joon et al. Journal of medical Internet research 2020 Aug (8) e19918 - [Application of artificial intelligence for the prediction of health examination results of workers: a pilot study].
Uchida Mitsuo et al. Sangyo eiseigaku zasshi = Journal of occupational health 2020 Aug - [Multimodal imaging and evaluation in the age of artificial intelligence].
Morelle Olivier et al. Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft 2020 Aug - Advances in FAI Imaging: a Focused Review.
Mascarenhas Vasco V et al. Current reviews in musculoskeletal medicine 2020 Aug - Artificial intelligence for decision support in acute stroke - current roles and potential.
Bivard Andrew et al. Nature reviews. Neurology 2020 Aug - Continuous Learning AI in Radiology: Implementation Principles and Early Applications.
Pianykh Oleg S et al. Radiology 2020 Aug 200038 - Development and Validation of a Deep Learning-Based Model Using Computed Tomography Imaging for Predicting Disease Severity of Coronavirus Disease 2019.
Xiao Lu-Shan et al. Frontiers in bioengineering and biotechnology 2020 8898 - Early experience utilizing artificial intelligence shows significant reduction in transfer times and length of stay in a hub and spoke model.
Hassan Ameer E et al. Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences 2020 Aug 1591019920953055
Disparities [NEW TOPIC PAGE]
Hot Topics of the Day|PHGKB
Last Posted: Aug 29, 2020
Last Posted: Aug 29, 2020
- Revisiting Health Care System Data Priorities to Improve Population Health and Address Inequity
CC Kenyon et al, JAMA Health Forum, August 28 2020 - US racial inequality may be as deadly as COVID-19.
Wrigley-Field Elizabeth et al. Proceedings of the National Academy of Sciences of the United States of America 2020 Aug - Hidden in Plain Sight — Reconsidering the Use of Race Correction in Clinical Algorithms
DA Vyas et al, NEJM, August 27, 2020 - Willingness to Participate in Health Research Among Community-Dwelling Middle-Aged and Older Adults: Does Race/Ethnicity Matter?
Milani Sadaf Arefi et al. Journal of racial and ethnic health disparities 2020 Aug - Alaska Native genomic research: perspectives from Alaska Native leaders, federal staff, and biomedical researchers.
Hiratsuka Vanessa Y et al. Genetics in medicine : official journal of the American College of Medical Genetics 2020 Aug - Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities.
Paulus Jessica K et al. NPJ digital medicine 2020 399 - Health Disparities and COVID-19: A Retrospective Study Examining Individual and Community Factors Causing Disproportionate COVID-19 Outcomes in Cook County, Illinois, March 16-May 31, 2020
L Unruh et al, MEDRXIV, August 24, 2020 - Bias at Warp Speed: How AI may Contribute to the Disparities Gap in the Time of COVID-19.
Röösli Eliane et al. Journal of the American Medical Informatics Association : JAMIA 2020 Aug - Race Disparities in the COVID-19 Pandemic—Solutions Lie in Policy, Not Biology
LE Boulware, JAMA Network Open, AUgust 18, 2020 - Disparities in Incidence of COVID-19 Among Underrepresented Racial/Ethnic Groups in Counties Identified as Hotspots During June 5–18, 2020 — 22 States, February–June 2020
JT Moore et al, CDC MMWR, August 14, 2020
CDC-Authored Publications Update|PHGKB
CDC-Authored Publications Update|PHGKB
Publication Date: Aug 26, 2020
CDC-Authored Publications Update
The latest CDC publications in genomics and precision health.
- The distribution and spread of susceptible and resistant Neisseria gonorrhoeae across demographic groups in a major metropolitan center.
Tatum D Mortimer, Preeti Pathela, Addie Crawley, Jennifer L Rakeman, Ying Lin, Simon R Harris, Susan Blank, Julia A Schillinger, and Yonatan H Grad
Clinical infectious diseases : an official publication of the Infectious Diseases Society of America 2020 Aug - Malaria Risk and Prevention in Asian Migrants to Angola.
José Franco Martins, Cátia Marques, Benjamin Nieto-Andrade, Julia Kelley, Dhruviben Patel, Doug Nace, Camelia Herman, Joel Barratt, Gabriel Ponce de Léon, Eldin Talundzic, Eric Rogier, Eric S Halsey, and Mateusz M Plucinski
The American journal of tropical medicine and hygiene 2020 Aug - Exploratory analysis of machine learning approaches for surveillance of Zika-associated birth defects.
Richard Lusk, John Zimmerman, Kelley VanMaldeghem, Suzanna Kim, Nicole M Roth, James Lavinder, Anna Fulton, Meghan Raycraft, Sascha R Ellington, and Romeo R Galang
Birth defects research 2020 Aug - Hepatitis A Virus Survival on Drug Paraphernalia.
Magdalena Medrzycki, Saleem Kamili, and Michael A Purdy
Journal of viral hepatitis 2020 Aug
Genomics & Precision Health Database| the Genomics & Health Impact Weekly Scan|PHGKB
Genomics & Precision Health Database| the Genomics & Health Impact Weekly Scan|PHGKB
Disclaimer: Articles listed in Non-Genomics Precision Health Update are selected by the CDC Office of Public Health Genomics to provide current awareness of the scientific 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 Clips, 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.
Last Update Date: Aug 31, 2020
Non-Genomics Precision Health Update
The latest information and publications on the impact of big data science, machine learning and predictive analytics on public health.
- Predicting risk of late age-related macular degeneration using deep learning
Y Peng et al, NPJ Digital Medicine, August 27, 2020 - Artificial intelligence manages congenital cataract with individualized prediction and telehealth computing
E Long et al, NPJ Digital Medicine, August 28, 2020 - Digital advantage in the COVID-19 response: perspective from Canada’s largest integrated digitalized healthcare system
DC Baumgart et al, NPJ Digital Medicine, August 31, 2020 - IL-6 and IL-10 as predictors of disease severity in COVID 19 patients: Results from Meta-analysis and Regression
SK Dhar et al, MEDRXIV, August 29, 2020 - Real-time Nowcasting and Forecasting of COVID-19 Dynamics in England: the first wave?
PJ Birrell et al, NEDRXIV, August 31, 2020 - Predicting critical state after COVID-19 diagnosis: Model development using a large US electronic health record dataset
MD Rinderknecht et al, MEDRXIV, August 31, 2020 - External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms
JM Salim et al, JAMA Oncology, August 27, 2020 - SciLens News Platform: A System for Real-Time Evaluation of News Articles
A Romanou et al, ARXIV, AUgust 27, 2020 - Using mobile phone data for epidemiological simulations of lockdowns: government interventions, behavioral changes, and resulting changes of reinfections
SM Muller et al, MEDRXIV, August 28, 2020 - Laboratory findings associated with severe illness and mortality among hospitalized individuals with coronavirus disease 2019 in Eastern Massachusetts
VM Castro et al, MEDRXIV, August 28, 2020 - People with intellectual and developmental disabilities disproportionately affected by COVID-19
NIH, August 28, 2020 - Challenges for the evaluation of digital health solutions—A call for innovative evidence generation approaches
C Guo et al, NPJ Digital Medicine, August 27, 2020 - Revisiting Health Care System Data Priorities to Improve Population Health and Address Inequity
CC Kenyon et al, JAMA Health Forum, August 28 2020 - US racial inequality may be as deadly as COVID-19.
Wrigley-Field Elizabeth et al. Proceedings of the National Academy of Sciences of the United States of America 2020 Aug - The coronavirus is most deadly if you are older and male — new data reveal the risks
S Mallapaty, Nature News, August 28, 2020 - Implementation of an Artificial Intelligence-Based Double Read System in Capturing Pulmonary Nodule Discrepancy in CT Studies.
Tan Jin Rong et al. Current problems in diagnostic radiology 2020 Jul - Artificial intelligence for decision support in acute stroke - current roles and potential.
Bivard Andrew et al. Nature reviews. Neurology 2020 Aug - The Need for Developing Technology-enabled, Safe and Ethical Workforce for Healthcare Delivery.
Sarbadhikari S N et al. Safety and health at work 2020 Aug - Latest Advancements in Artificial Intelligence-Enabled Technologies in Treating Type 1 Diabetes.
Qian Feng et al. Journal of diabetes science and technology 2020 Aug 1932296820949940 - Continuous Learning AI in Radiology: Implementation Principles and Early Applications.
Pianykh Oleg S et al. Radiology 2020 Aug 200038
Disclaimer: Articles listed in Non-Genomics Precision Health Update are selected by the CDC Office of Public Health Genomics to provide current awareness of the scientific 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 Clips, 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.
Advanced Molecular Detection Clips Database|AMD Clips|PHGKB
Advanced Molecular Detection Clips Database|AMD Clips|PHGKB
Note: indicates that at least one CDC-affiliated author; indicates that the article addresses aspects of implementation or evaluation in clinical or public health practice.
Disclaimer: Articles listed in the Advanced Molecular Detection Clips are selected by the CDC Office of Public Health Genomics to provide current awareness of the scientific literature and news. Inclusion in the clips 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 Clips, 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.
Publication Date: Aug 27, 2020
Advanced Molecular Detection Clips Content
NEWS
- A Plan to Use Modern Data Tools to Fight Foodborne Illness
Jaklevic MC. JAMA, Aug 18, 2020. - First Case of COVID-19 Reinfection Confirmed - Viral sequence disparity indicates Hong Kong case not simply prolonged infection
Walker M. MedPage Today, Aug 24, 2020. - For Quick Coronavirus Testing, Israel Turns to a Clever Algorithm
Halbfinger DM. New York Times, Aug 21, 2020. - Genetic data show how a single superspreading event sent coronavirus across Massachusetts--and the nation
Kaplan S, Mooney C. Washington Post, Aug 25, 2020. - FDA and Lab-Developed Tests: The Saga Continues
Walker M. MedPage Today, Aug 25, 2020. - Russia vaccine roll-out plan prompts virus mutation worries
Kelland K. Reuters, Aug 21, 2020. - A Woman May Have Been Cured of H.I.V. Without Medical Treatment
Mandavilli A. New York Times, Aug 26, 2020. - Florida releasing genetically modified mosquitoes to prevent diseases like Zika
Lanese N. Live Science, Aug 21, 2020.
CONCEPTS / COMMENTS
- Application of Next Generation Sequencing in Laboratory Medicine.
Zhong Yiming et al. Annals of laboratory medicine 2021 Jan (1) 25-43
METHODS / TOOLS
- Protoblock - A biological standard for formalin fixed samples.
Flores Bueso Yensi et al. Microbiome 2020 Aug (1) 122 - Bactopia: a Flexible Pipeline for Complete Analysis of Bacterial Genomes.
Petit Robert A et al. mSystems 2020 Aug (4) - FLAVi: An Enhanced Annotator for Viral Genomes of Flaviviridae .
de Bernadi Schneider Adriano et al. Viruses 2020 Aug (8) - Temporal signal and the phylodynamic threshold of SARS-CoV-2
Duchene S. Virus Evol, Aug 19, 2020. - Whole Genome Sequencing of SARS-CoV-2: Adapting Illumina Protocols for Quick and Accurate Outbreak Investigation during a Pandemic.
Pillay Sureshnee et al. Genes 2020 08 (8) - A Comparison of Whole Genome Sequencing of SARS-CoV-2 Using Amplicon-Based Sequencing, Random Hexamers, and Bait Capture.
Nasir Jalees A et al. Viruses 2020 08 (8) - Real-time public health communication of local SARS-CoV-2 genomic epidemiology.
Kalinich Chaney C et al. PLoS biology 2020 Aug (8) e3000869 - Employing Molecular Phylodynamic Methods to Identify and Forecast HIV Transmission Clusters in Public Health Settings: A Qualitative Study.
Rich Shannan N et al. Viruses 2020 Aug (9)
EVOLUTION / ECOLOGY / POPULATIONS
- Virulence genes and previously unexplored gene clusters in four commensal Neisseria spp. isolated from the human throat expand the neisserial gene repertoire.
Calder Alan et al. Microbial genomics 2020 Aug - SARS-CoV-2 exhibits intra-host genomic plasticity and low-frequency polymorphic quasispecies.
Karamitros Timokratis et al. Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology 2020 Aug 104585 - Genetic diversity and evolution of Hantaan virus in China and its neighbors.
Li Naizhe et al. PLoS neglected tropical diseases 2020 Aug (8) e0008090 - Molecular characterisation of Influenza C viruses from outbreaks in Hong Kong SAR, China.
Daniels Rodney S et al. Journal of virology 2020 Aug - Species-Specific Evolution of Ebola Virus during Replication in Human and Bat Cells.
Whitfield Zachary J et al. Cell reports 2020 Aug (7) 108028 - Broad host range of SARS-CoV-2 predicted by comparative and structural analysis of ACE2 in vertebrates.
Damas Joana et al. Proceedings of the National Academy of Sciences of the United States of America 2020 Aug
PATHOGENICITY / ANTIMICROBIAL RESISTANCE
- Emergence of Transferable mcr-9 Gene-Carrying Colistin-Resistant Salmonella enterica Dessau ST14 Isolated from Retail Chicken Meat in Korea.
Cha Min-Hyeok et al. Foodborne pathogens and disease 2020 Aug - Comprehensive genome data analysis establishes a triple whammy of carbapenemases, ICEs and multiple clinically relevant bacteria.
Botelho João et al. Microbial genomics 2020 Aug - Effects of a major deletion in the SARS-CoV-2 genome on the severity of infection and the inflammatory response: an observational cohort study.
Young Barnaby E et al. Lancet (London, England) 2020 Aug
DETECTION / DIAGNOSIS
- Tracking of Antibiotic Resistance Transfer and Rapid Plasmid Evolution in a Hospital Setting by Nanopore Sequencing.
Peter Silke et al. mSphere 2020 Aug (4) - Comparing serotyping with whole-genome sequencing for subtyping of non-typhoidal Salmonella enterica : a large-scale analysis of 37 serotypes with a public health impact in the USA.
Elnekave Ehud et al. Microbial genomics 2020 Aug - Comprehensive Surveillance of SARS-CoV-2 Spread Using Wastewater-based Epidemiology Studies
Manupati H, et al. medRxiv, Aug 21, 2020. - First study on surveillance of SARS-CoV-2 RNA in wastewater systems and related environments in Wuhan: Post-lockdown
Zhao L, et al. medRxiv, Aug 21, 2020. - Building the National SARS-CoV-2 Laboratory Diagnostic Capacity in Taiwan.
Yang Ji-Rong et al. Health security 2020 Aug - SARS-CoV-2 has been circulating in northern Italy since December 2019: Evidence from environmental monitoring.
La Rosa Giuseppina et al. The Science of the total environment 2020 Aug 141711 - Accelerating genomics-based surveillance for COVID-19 response in Africa.
Tessema Sofonias K et al. The Lancet. Microbe 2020 Aug - Detection and Discovery of Coronaviruses in Wild Bird Populations.
Snoeck Chantal J et al. Methods in molecular biology (Clifton, N.J.) 2020 41-53 - Monitoring COVID-19 transmission risks by RT-PCR tracing of droplets in hospital and living environments
Piana A, et al. medRxiv, Aug 25, 2020. - Outbreak of Trichophyton soudanense causing tinea capitis in an orphanage in Myanmar.
Norrenberg S et al. Journal de mycologie medicale 2020 Jul 101013 - Comparison of a Novel Rapid Lateral Flow Assay to Enzyme Immunoassay Results for Early Diagnosis of Coccidioidomycosis.
Donovan Fariba M et al. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America 2020 Aug
EPIDEMIOLOGY / OUTBREAKS / TRANSMISSION
- The distribution and spread of susceptible and resistant Neisseria gonorrhoeae across demographic groups in a major metropolitan center.
Mortimer Tatum D et al. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America 2020 Aug - Polyclonal Burkholderia cepacia Complex Outbreak in Peritoneal Dialysis Patients Caused by Contaminated Aqueous Chlorhexidine.
Wong Sally C Y et al. Emerging infectious diseases 2020 Sep (9) 1987-1997 - Saprochaete clavata Outbreak Infecting Cancer Center through Dishwasher.
Menu Estelle et al. Emerging infectious diseases 2020 Sep (9) 2031-2038 - Clinical and Economic Outcomes of Genome Sequencing Availability on Containing a Hospital Outbreak of Resistant Escherichia coli in Australia.
Lee Xing J et al. Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research 2020 Aug (8) 994-1002 - An outbreak of cutaneous abscesses caused by Panton-Valentine leukocidin-producing methicillin-susceptible Staphylococcus aureus among gold mine workers, South Africa, November 2017 to March 2018.
Ismail Husna et al. BMC infectious diseases 2020 Aug (1) 621 - COVID-19 re-infection by a phylogenetically distinct SARS-coronavirus-2 strain confirmed by whole genome sequencing.
To Kelvin Kai-Wang et al. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America 2020 Aug - SARS-CoV-2 Community Transmission disproportionately affects Latinx population during Shelter-in-Place in San Francisco.
Chamie Gabriel et al. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America 2020 Aug - Phylogenetic analysis of SARS-CoV-2 in the Boston area highlights the role of recurrent importation and superspreading events
Lemieux J, et al. medRxiv, Aug 25, 2020. - Geographical reconstruction of the SARS-CoV-2 outbreak in Lombardy (Italy) during the early phase.
Micheli Valeria et al. Journal of medical virology 2020 Aug - Molecular Epidemiology Analysis of SARS-CoV-2 Strains Circulating in Romania during the First Months of the Pandemic.
Surleac Marius et al. Life (Basel, Switzerland) 2020 Aug (8) - Neutralizing antibodies correlate with protection from SARS-CoV-2 in humans during a fishery vessel outbreak with high attack rate.
Addetia Amin et al. Journal of clinical microbiology 2020 Aug
ANTIMICROBIALS / VACCINES / INTERVENTIONS
- The Application of Single-Cell RNA Sequencing in Vaccinology.
Noé Andrés et al. Journal of immunology research 2020 8624963 - RNA-Based COVID-19 Vaccine BNT162b2 Selected for a Pivotal Efficacy Study
Walsh EE, et al. medRxiv, Aug 20, 2020.
HOST-MICROBE INTERACTIONS
- The current landscape of coronavirus-host protein-protein interactions.
Perrin-Cocon Laure et al. Journal of translational medicine 2020 08 (1) 319 - Maternal bacteria to correct abnormal gut microbiota in babies born by C-section.
Butler Éadaoin M et al. Medicine 2020 Jul (30) e21315 - Heritability jointly explained by host genotype and microbiome: will improve traits prediction?
Awany Denis et al. Briefings in bioinformatics 2020 Aug - Host genomics of the HIV-1 reservoir size and its decay rate during suppressive antiretroviral treatment.
Thorball Christian W et al. Journal of acquired immune deficiency syndromes (1999) 2020 Aug - A Genome-Wide Association Study Identifies SERPINB10, CRLF3, STX7, LAMP3, IFNG-AS1 and KRT80 As Risk Loci Contributing to Cutaneous Leishmaniasis In Brazil.
Castellucci Léa C et al. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America 2020 Aug
Note: indicates that at least one CDC-affiliated author; indicates that the article addresses aspects of implementation or evaluation in clinical or public health practice.
Disclaimer: Articles listed in the Advanced Molecular Detection Clips are selected by the CDC Office of Public Health Genomics to provide current awareness of the scientific literature and news. Inclusion in the clips 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 Clips, 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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