Schwan’s concerns about inaccurate or unreliable COVID-19 serology tests were supported when the FDA issued more restrictive rules for these medical laboratory tests on May 4
During a conference call with investors about the company’s first-quarter results, Schwan said of the recently-launched COVID-19 antibody assays, “These tests are not worth anything, or have very little use,” according to reporting from Reuters and other publications. “Some of these companies, I tell you, this is ethically very questionable to get out with this stuff.”
On May 3, Roche announced that its own Elecsys Anti-SARS-CoV-2 antibody test for SARS-CoV-2, the coronavirus that causes the COVID-19 illness, had obtained an emergency use authorization (EUA) from the federal Food and Drug Administration (FDA). In its news release, Roche stated that “the serology test has a specificity greater than 99.8% and sensitivity of 100% (14 days post-PCR confirmation).”
In a separate interview with Bloomberg, Schwan said about antibody testing, “It is very important to pick the right test and then to validate those tests with enough patients.” He then returned to the issue of poor quality in some antibody tests for the SARS-CoV-2 virus, saying, “Unfortunately, there are a number of tests already out there in the market which are not reliable simply because they haven’t been tested sufficiently.”
A ‘Wild West’ of Unregulated Assays
Prior to issuing tougher rules for how a manufacturer can market a COVID-19 serological test, the FDA had listed about 200 serological tests designed to identify antibodies produced by the human immune system in response to a SARS-CoV-2 infection. This is the process of seroconversion, which is the development of detectable antibodies in a patient’s blood against a pathogen. Detection of IgG antibodies indicates exposure to SARS-CoV-2, according to ARUP Laboratories.
Public health experts have raised questions about the proliferation of such tests for the new coronavirus. Under the FDA’s previous March 16 rules—which were more relaxed than those FDA applied when granting EUAs—the agency was swamped with requests to review more than 200 COVID-19 antibody tests. The looser regulations resulted in nearly no oversight of those tests, reported the Associated Press (AP).
In comments to the AP, Eric Blank, DrPH, Senior Director of Public Health Systems and Programs for the Association for Public Health Laboratories (APHL), said, “Right now it’s a wild west show out there. It really has created a mess that’s going to take a while to clean up.”
“In the meantime,” Blank added, “you’ve got a lot of companies marketing a lot of stuff and nobody has any idea of how good it is.” Blank confirmed to Dark Daily that he made these comments and stands by them.
Calls for Closer Scrutiny of Serological Antibody Tests
In response to the FDA’s March 16 rules for COVID-19 serology tests, APHL requested the federal agency to review its looser approach to reviewing these tests. The impact of the FDA’s much tougher COVID-19 serological testing rules released on May 4 was immediate.
In a press release issued on May 2, the FDA said, “to date, the FDA has authorized 105 tests under EUAs, which include 92 molecular tests, 12 antibody tests, and one antigen test.”
Clinical laboratories in the United States still face difficult challenges if they plan to launch their own COVID-19 serology testing programs. They must select one or more tests from among the antibody and antigen tests that have an FDA EUA. However, data for each of these tests is not as comprehensive as is the data for diagnostic test kits reviewed by the FDA and cleared for market under the pre-market approval process.
This webinar was conducted by James O. Westgard, PhD, and Sten Westgard of Westgard QC, Inc., and the full program is available for free download by clicking here, or by placing this URL in your web browser: https://www.darkdaily.com/webinar/quality-issues-your-clinical-laboratory-should-know-before-you-buy-or-select-covid-19-serology-tests/.
In the webinar recording, the Westgards provide a detailed overview of what elements are required for a clinical lab to have confidence that its COVID-19 serology testing program is producing accurate, reliable results. They explain that labs must understand the unique aspects of the populations they are testing in their communities. All of these factors can then be used by labs to evaluate the different COVID-19 serology tests available for them to purchase, and to select the test that best fits their lab’s capabilities and the characteristics of the patient population that will be tested.
Another important requirement for clinical laboratories to understand is the list of steps necessary to bring up a COVID-19 serological testing program. That starts with validating the test, then bringing it into daily production. As that happens, issues associated with quality control (QC), proficiency testing (PT), and regulatory compliance take center stage, so that the clinical lab has high confidence in the accuracy and reproducibility of the COVID-19 serology test results they are using in patient care or in support of employers who are screening employees for COVID-19.
To register for the June 11 webinar, click here, or place this URL in your web browser: https://www.darkdaily.com/webinar/achieving-high-confidence-levels-in-the-quality-and-accuracy-of-your-clinical-labs-chosen-covid-19-serology-tests/.
New COVID-19 Intelligence from Dark Daily
Announcing Dark Daily’s new COVID-19 STAT Intelligence Briefings! This free service for clinical laboratories, anatomic pathology groups, and diagnostics companies features:
daily breaking news,
business intelligence, and
innovations that clinical labs are using to respond to the COVID-19 pandemic.
This critical information includes effective ways labs can restore their cash flow to pre-pandemic levels and get test claims paid by government and private payers.
One popular feature is the COVID-19 Live! conference calls that happen every Tuesday and Thursday for 30 minutes at 1 PM, EDT. Visit the COVID-19 STAT Intelligence Briefings website and join us for the live calls.
Scientist described the speed at which SARS-CoV-2’s full sequence of genetic material was made public as ‘unprecedented’ and medical labs are rushing to validate tests for this new disease
In the United States, headlines scream about the lack of
testing for the novel Coronavirus
disease 2019 (COVID-19). News reporters ask daily why it is taking so long
for the US healthcare system to begin testing large numbers of patients for
SARS-CoV-2, the virus that causes COVID-19. Yet, pathologists
and clinical
laboratory scientists know that new technologies for gene sequencing
and diagnostic testing are helping public health laboratories bring up tests
for a previously unknown new disease faster than at any time in the past.
At the center of the effort to develop accurate new assays
to detect SARS-CoV-2 and help diagnose cases of the COVID-19 disease are medical laboratory
scientists working in public health
laboratories, in academic medical centers, and in research labs across the
United States. Their collective efforts are producing results on a faster
timeline than in any previous discovery of a new infectious disease.
For example, during the severe
acute respiratory syndrome (SARS) outbreak in 2003, five months passed
between the first recognized case of the disease in China and when a team of
Canadian scientists cracked the genetic code of the virus, which was needed to
definitively diagnose SARS patients, ABC
News reported.
In contrast, Chinese scientists sequenced this year’s
coronavirus (originally named 2019-nCoV) and made it available on Jan. 10,
2020, just weeks after public health officials in Wuhan, China, reported the
first case of pneumonia from the unknown virus to the World Health Organization
(WHO), STAT
reported.
Increases in sequencing speed enabled biotechnology
companies to quickly create synthetic copies of the virus needed for research. Roughly
two weeks later, scientists completed sequencing nearly two dozen more samples
from different patients diagnosed with COVID-19.
Lower Sequencing Costs Speed COVID-19 Diagnostics Research
Additionally, a significant decline in the cost of genetic synthesis is playing an equally important role in helping scientists slow the spread of COVID-19.In its coverage of the SARS-CoV-2 outbreak, The Verge noted that two decades ago “it cost $10 to create a synthetic copy of one single nucleotide, the building block of genetic material. Now, it’s under 10 cents.” Since the coronavirus gene is about 30,000 nucleotides long, that price reduction is significant.
Faster sequencing and cheaper access to synthetic copies is
contributing to the development of diagnostic tests for COVID-19, an important
step in slowing the disease.
“This continues to be an evolving situation and the ability to distribute this diagnostic test to qualified medical laboratories is a critical step forward in protecting the public health,” FDA Commissioner Stephen M. Hahn, MD, said in an FDA statement.
However, the Washington Post soon reported that the government-created coronavirus test kits contained a “faulty component,” which as of February 25 had limited testing in the US to only 426 people, not including passengers who returned to the US on evacuation flights. The Post noted that the nation’s public health laboratories took “the unusual step of appealing to the FDA for permission to develop and use their own [laboratory-developed] tests” for the coronavirus.
“This is an extraordinary request, but this is an extraordinary time,” Scott Becker,
Parallel efforts to develop and validate tests for COVID-19
are happening at the clinical laboratories of academic medical centers and in a
number of commercial laboratory companies. As these labs show their tests meet
FDA criteria, they become available for use by physicians and other healthcare
providers.
Dark Daily’s sister publication, The Dark Report just published an intelligence briefing about the urgent effort at the clinical laboratory of Northwell Health to develop both a manual COVID-19 assay and a test that can be run on the automated analyzers already in use in the labs at Northwell Health’s 23 hospitals. (See TDR, “Northwell Lab Team Validates COVID-19 Test on Fast Timeline,” March 9, 2020.)
Following the FDA’s March 13 EUA for the Thermo Fisher test,
Hahn said, “We have been engaging with test developers and encouraging them to
come to the FDA and work with us. Since the beginning of this outbreak, more
than 80 test developers have sought our assistance with development and
validation of tests they plan to bring through the Emergency Use Authorization
process. Additionally,” he continued, “more than 30 laboratories have notified
us they are testing or intend to begin testing soon under our new policy for
laboratory-developed tests for this emergency. The number of products in the
pipeline reflects the significant role diagnostics play in this outbreak and
the large number of organizations we are working with to bring tests to
market.”
Pharma Company Uses Sequencing Data to Develop Vaccine in
Record Time
Even as clinical laboratories work to develop and validate diagnostic tests for COVID-19, drug manufacturers are moving rapidly to develop a COVID-19 vaccine. In February, Massachusetts-based biotechnology company Moderna Therapeutics (NASDAQ:MRNA) announced it had shipped the first vials of its potential coronavirus vaccine (mRNA-1273) to the National Institute of Allergy and Infectious Disease (NIAID) for use in a Phase One clinical trial.
“The collaboration across Moderna, with NIAID, and with CEPI [Coalition for Epidemic Preparedness Innovations] has allowed us to deliver a clinical batch in 42 days from sequence identification,” Juan Andres, Chief Technical Operations and Quality Officer at Moderna, stated in a news release.
The Wall Street Journal (WSJ) reported that NIAID expects to start a clinical trial of about 20 to 25 healthy volunteers by the end of April, with results available as early as July or August.
“Going into a Phase One trial within three months of getting the sequence is unquestionably the world indoor record,” NIAID Director Anthony Fauci, MD, told the WSJ. “Nothing has ever gone that fast.”
There are no guarantees that Moderna’s coronavirus vaccine
will work. Furthermore, it will require further studies and regulatory
clearances that could delay widespread distribution until next year.
Nonetheless, Fauci told the WSJ, “The only way you
can completely suppress an emerging infectious disease is with a vaccine. If
you want to really get it quickly, you’re using technologies that are not as
time-honored as the standard, what I call antiquated, way of doing it.”
In many ways, the news media has overlooked all the important
differences in how fast useful diagnostic and therapeutic solutions for
COVID-19 are moving from research settings into clinical use, when compared to
early episodes of the emergence of a new infectious disease, such as SARS in
2003.
The story the American public has yet to learn is how new
genetic sequencing technologies, improved diagnostic methods, and enhanced
informatics capabilities are being used by researchers, pathologists, and
clinical laboratory professionals to understand this new disease and give
healthcare professionals the tools they need to diagnose, treat, and monitor
patients with COVID-19.
Data generated by medical laboratories and diagnostic providers takes an increasing role in treatment and precision medicine and allows greater analysis of data and integration of data into the care process
Most anatomic pathologists recognize that the unstructured data that makes up most pathology reports also represents a barrier to more sophisticated use of the information in those pathology reports. One solution is for pathology groups to adopt synoptic reporting as a way to get a pathology report’s essential data into structured fields.
The healthcare marketplace recognizes the value of structured data. In 2012, venture capitalists funded a new company called Flatiron Health. Flatiron’s goal was to access the medical records of cancer patients specifically to extract the relevant—and generally unstructured—data and put it into a structured database. This structured database could then be used to support both research and clinical care for cancer patients.
How valuable is structured healthcare data? Just this February, Roche paid $1.9 billion to acquire Flatiron. At that point, Flatiron had assembled information about the health records of two million cancer patients.
But Roche (ROG.S), recognizing the value of data, was not done. In July, it entered into an agreement to pay $2.4 billion for the remaining shares of cancer-testing company Foundation Medicine that it did not own. Foundation Medicine sequences tumors and uses that genetic data to assist physicians in diagnosing cancer, making treatment decisions, and identifying cancer patients who qualify for specific clinical trials.
Anatomic pathologists play a central role in the diagnosis, treatment, and monitoring of cancer patients. It behooves the pathology profession to recognize that generating, storing, analyzing, and reporting the data generated from examinations of tumor biopsies is a critical success factor moving forward. Otherwise, other players and stakeholders will move past the pathology profession and stake their own claim to capturing, owning, and using that data to add value in patient care.
How Lack of Standards Impact Transfer of Patient Data
DATAMARK Inc., a business process outsourcing (BPO) company headquartered in El Paso, Texas, reports that analysts from Merrill Lynch, Gartner, and IBM estimate unstructured data comprises roughly 80% of the information in the average electronic medical record. This data could be the key to improving outcomes, tailoring precision medicine treatments, or early diagnosis of chronic diseases.
From narrative descriptions of biopsies to dictated entries surrounding preventative care appointments, these entries hold data that might have value but are difficult to collate, organize, or analyze using software or reporting tools.
To further complicate matters, each service provider in a patient’s chain of care might hold different standards or preferred methods for recording data.
“At this point, [standards] are not to a level that helps with the detailed clinical data that we need for the scientific questions we want to ask,” Nikhil Wagle, MD, Assistant Professor of Medicine, Dana-Farber Cancer Institute, Harvard Medical School, and Associate Member, Broad Institute, told the New York Times.
An oncologist at the Dana Farber Cancer Institute in Boston, Wagle and his colleagues are creating a database of metastatic breast cancer patients capable of linking medical records, treatments, and outcomes with their genetic backgrounds and the genetics of their tumors. Despite best efforts, they’ve only collected 450 records for 375 patients in 2.5 years.
Nikhil Wagle, MD (above), Assistant Professor of Medicine, Dana-Farber Cancer Institute, Harvard Medical School, and Associate Member, Broad Institute, is building databases that link patient outcomes and experiences with their EHRs. But sharing that information has proved problematic, he told the New York Times. “Patients are incredibly engaged and excited,” he said, “[But] right now there isn’t a good solution. Even though the patients are saying, ‘I have consented for you to obtain my medical records,’ there is no good way to get them.” (Photo copyright: Dana-Farber Cancer Institute.)
Additionally, once records are obtained, the information—sometimes spanning hundreds of faxed pages—must still be processed into data compatible with Dana-Farber’s database. And updating and maintaining the database requires a full-time staff of experts that must review the information and accurately enter it as required.
When critical concerns arise—such as a cancer diagnosis—information that could yield valuable clues about treatment options and improve outcomes might be held in any number of data silos in any number of formats.
This doesn’t account for the complexity of organizing such information for researchers who are developing new treatments, applying data to less targeted approaches, or dealing with privacy concerns between care providers.
Moving forward, those who can create and interact with data in a way that requires minimal human touch to make it suitable for analysis, further processing, or archiving, could communicate data more effectively and glean value from the growing trove of data silos created by laboratories around the world.
Big Pharma Making Big Bets on Structured Data
These are all the reasons why the recent moves by Roche show the importance and perceived value of structured medical records data as it takes an increasingly important role in precision medicine treatments and diagnosis.
With its acquisition of both Flatiron Health and Foundation Medicine, Roche has secured the ability to generate data, convert said data into a structured format to drive decisions, improve core data-related services, and promote the value of their offerings. This positions Roche to maximize the value of its data for internal use and marketing to researchers and other interested parties.
For clinical laboratories, pathology groups, and other diagnostics providers generating untold amounts of data daily, this highlights a critical opportunity to stay ahead of future trends and position themselves as valuable sources of information as healthcare data continues to play an essential role in modern healthcare.
Genetic testing, gene sequencing done by clinical laboratories and anatomic pathology groups underpin how first-mover hospitals, health networks are improving patient outcomes
In just a few weeks, an unprecedented gathering will bring together the nation’s most prominent first-mover health networks, hospitals, and companies operating programs that deliver precision medicine daily to patients in clinical care settings.
On Sept. 12-13, 2018, “Breakthroughs with Genetic and Precision Medicine: What All Health Network CEOs Need to Know,” will take place at the Hutton Hotel in Nashville, Tenn. “What differentiates these sessions is the emphasis on each organization’s strategy, how it launched its precision medicine programs, what is improving in patient outcomes, and how payers are reimbursing for these services,” stated Robert L. Michel, Executive Director of the Precision Medicine Institute in Austin, Texas. “This is not about the science of precision medicine. Rather, it is about the practical elements required for any hospital, health system, or physician group to actually set up and deliver a precision medicine service to patients on a daily basis.”
Precision Medicine’s First-Mover Hospitals and Providers to Speak
Health systems and hospitals headlining this special conference are:
Exhibitors include the above, plus: Thermo Fisher, Philips, Sunquest, and MyGenetx.
“This meeting will give you the insider’s understanding about delivering precision medicine in real patient care settings that cannot be accessed at other venues,” noted Michel. “The goal is to have first-mover providers share their experiences, thus providing a road map that other hospitals, physician practices, and other providers at this conference can take back and follow with confidence.”
Michel said that sessions will be dedicated to precision medicine strategies, how it is being used in oncology, primary care, the role of pharmacogenomics, and use of healthcare big data. Speakers will describe the clever ways innovative health networks and hospitals are using healthcare big data to inform physicians in ways that improve outcomes, lower the cost of care and, in two real-world case studies, are generating seven-figure reimbursement from shared savings programs with certain health plans.
This year’s keynote address is by Jeffrey R. Balser, MD, PhD (above), President and CEO, Vanderbilt University Medical Center and Dean of the Vanderbilt University School of Medicine, one of the most progressive and innovative health systems in the country. (Photo copyright: Vanderbilt University.)
Using Healthcare Big Data to Achieve Precision Medicine Success, Shared Savings
“Shared savings successes will be one of the breakthrough achievements reported at the Nashville event,” he explained. “We’ve invited two prominent provider organizations to share how they are using healthcare big data to support physicians in achieving improved patient outcomes while at the same time impressively reducing the overall cost of care. To my knowledge, this is the first time these precision medicine case studies have been presented at a national meeting.”
One such presentation will be delivered by Philip Chen, MD, PhD, Chief Healthcare Informatics Officer at Sonic Healthcare USA Austin, Texas. Their precision medicine goal was to use healthcare big data to help physicians better manage diabetes and other chronic conditions in their practices. This program involved a large primary care practice and a major health insurer. Now in its fourth year, Sonic Healthcare USA is earning six- and seven-figure payments as part of a shared savings arrangement with the insurer.
“Shared savings is definitely a Holy Grail for all large health networks and physician groups as payers drop fee-for-service and switch providers to value-based payments,” said Michel. “The experience of Sonic Healthcare in this innovative three-way collaboration with an insurer and a very large physician group demonstrates that a strong data analytics capability and engagement with physicians can simultaneously bend the cost-of-care-curve downward while improving patient outcomes, as measured year-by-year. This is a presentation every C-Suite executive should attend.
Strategic, Business, Operational, and Financial Aspects of Precision Medicine
“This conference—centered upon the strategic, business, operational, and financial aspects of a precision medicine program—came to be because it is the unmet need of every health network CEO and C-Suite administrator,” observed Michel. “Every healthcare leader tasked with developing an effective clinical and financial strategy for his or her institution knows that the real challenge in launching a precision medicine program for patient care is not the science.
“Rather, the true challenges come from how to support clinical needs with the availability of capital, recruiting experienced clinicians, and putting the right informatics capabilities in place,” he stated. “Most hospital and health network administrators recognize the risk of launching a precision medicine program too early. They know such programs can suck up huge amounts of resources without producing significant improvements in patient care. What adds to the risk is that payers may be slow to reimburse for precision medicine.”
Register by September 1 and save $300 on tuition! Plus, take advantage of our special Team Discount Program, so you and your key team members can get the most out of the conference by attending together.
“Breakthroughs with Genetic and Precision Medicine: What All Health Network CEOs Need to Know” is the gold-standard summit for everyone active or interested in succeeding with precision medicine programs. Don’t miss out—register today!
Radiology poised to be disrupted as entrepreneurs work to create smaller, cheaper imaging devices that perform as well or better than big, expensive imaging systems
Handheld ultra-sound scanners that are as “cheap as a stethoscope” is the goal of a $100 million development project. Just as the clinical laboratory industry is seeing entrepreneurs pour hundreds of millions of dollars into projects intended to create miniature medical laboratory testing devices, so also is radiology and imaging a target for ambitious entrepreneurs.
The vision of biotechnology entrepreneur Jonathan Rothberg, Ph.D. is to have patients take a trip to their neighborhood drugstore rather than an imaging center the next time they need an ultrasound or MRI.
Rothberg is the driving force behind a $100 million startup called Butterfly Network. He hopes to disrupt the status quo in radiology by creating an ultrasound scanner that “is as cheap as a stethoscope” and would allow physicians or other healthcare professionals to do imaging studies using a device not much larger than a smartphone, MIT Technology Review reports. (more…)