Clinical laboratories and microbiologists will want to be on the alert for this deadly infectious agent that has killed patients through blood infections
Healthcare continues to struggle with the issue of how much to disclose to the public when new and deadly infectious agents are identified in a limited number of patients. Timely disclosure of new pathogens is a matter of great concern to clinical laboratory scientists, microbiologists, and clinical pathologists because their laboratories get specimens from infected patients and they must correctly identify rare or emerging pathogens to help minimize the spread of disease.
This is why many medical laboratory professionals were surprised to see national news headlines recently about a particularly deadly new form of a pathogen. The Centers for Disease Control and Prevention (CDC) has been dealing with one particularly nasty example of Candida auris, or C. auris. This “superbug” fungus has been appearing in hospitals and healthcare clinics across the globe and it has killed people.
The news coverage of C. auris focused on two
elements:
First, how the pathogen was recognized by such
healthcare agencies as the CDC.
Second, why CDC and others did not issue a
public alert to hospitals, physicians, and other caregivers once it was known
that C. auris was responsible for the death of several patients.
Once C. auris takes hold, it can enter a patient’s bloodstream or wounds and cause life- threatening complications like sepsis. When hospitals rooms are not properly decontaminated, life-threatening hospital-acquired infections (HAIs), also known as nosocomial infections, can occur.
Incidences of HAIs have been on the rise in the past few
years. Dark Dailyhas reported
on this disturbing trend many times.
The New York Times (NYT) reported on one such HAI that had tragic consequences. A patient admitted to Mount Sinai Hospital in New York for abdominal surgery was later discovered to have contracted C. auris. He was immediately isolated and spent 90 days in the hospital before passing away. Tests showed that Candida auris was everywhere in his room.
“Everything was positive—the walls, the bed, the doors, the curtains, the phones, the sink, the whiteboard, the poles, the pump,” Scott Lorin, MD, President and Chief Operating Officer at Mount Sinai Brooklyn Hospital, told the NYT. “The mattress, the bed rails, the canister holes, the window shades, the ceiling, everything in the room was positive,” he said.
The hospital had to use special cleaning equipment to
sterilize the room and even found it necessary to tear out some ceiling and
floor tiles to annihilate the fungus, the NYT reported.
Media News Coverage of ‘Culture of Secrecy’
When this deadly fungus first emerged in America, it was not
disclosed to the public for a lengthy period of time. Then, when details of
deaths in hospitals due to the superbug went public, the national news media
reacted but then went silent. Why?
In that article, the NYT states that “under its
agreement with states, the CDC is barred from publicly identifying hospitals
that are battling to contain the spread of dangerous pathogens.” So, the CDC is
prevented from revealing to the public the names and locations of facilities
that are dealing with C. auris. And state governments typically do not
share that information either.
The NYT article also states, “The CDC declined to
comment, but in the past officials have said their approach to confidentiality
is necessary to encourage the cooperation of hospitals and nursing homes, which
might otherwise seek to conceal infectious outbreaks.”
And that, “Those pushing for increased transparency say they
are up against powerful medical institutions eager to protect their
reputations, as well as state health officials who also shield hospitals from
public scrutiny.”
Common Yeast Infection or Killer Superbug? Both!
C. auris grows as a common yeast infection. However,
it can be life threatening if it enters the bloodstream.
“The average person calls Candida infections yeast infections,” William Schaffner, MD, Professor and Chair, Department of Preventative Medicine at Vanderbilt University Medical Center, told Prevention. “However, Candida auris infections are much more serious than your standard yeast infection. They’re a variety of so-called superbugs [that] can complicate the therapy of very sick people.”
The CDC reports that, as of May 31, 2019, there have been a total of 685 cases of C. auris reported in the US. The majority of those cases occurred in Illinois (180), New Jersey (124), and New York (336). Twenty more cases were reported in Florida, and eight other states—California, Connecticut, Indiana, Maryland, Massachusetts, Oklahoma, Texas, and Virginia—each had less than 10 confirmed cases of C. auris.
The CDC states the infection seems to be most prominent among populations that have had extended stays in hospitals or nursing facilities. Patients who have had lines or tubes such as breathing tubes, feeding tubes, or central venous catheters entering their body, and those who have recently been given antibiotics or antifungal medications, seem to be the most vulnerable to contracting C. auris.
The fungus typically attacks people who are already sick or have weakened immune systems, which can make it challenging to diagnose, the CDC notes. C. auris infections are typically diagnosed with special clinical laboratory testing of blood specimens or other body fluids. Infections have been found in patients of all ages, from infants to the elderly.
Data from the CDC indicates that C. auris can cause
bloodstream infections, wound infections, and ear infections. Common symptoms
that indicate a person has Candida auris include fever, chills,
weakness, low blood pressure, and general malaise that do not improve with
antibiotics.
“A patient’s temperature may go up, their blood pressure can
go down, and they have complications of a pre-existing illness because of Candida
auris,” Schaffner told Prevention.
The CDC reports that more than one in three patients with
invasive C. auris dies. Even though the mortality rates for Candida
auris are high, it is unclear whether patients are dying from the infection
or from their underlying illnesses. “Whatever the cause, having Candida
auris doesn’t help a patient in any way,” Schaffner noted.
The CDC states that it and its public health partners are
working hard to discover more about this fungus, and to devise ways to protect
people from contracting it. Average healthy people probably don’t need to worry
about becoming infected with Candida auris. However, individuals who are
at high risk, and healthcare professionals, microbiologists, and pathologists,
should be on the alert for this new superbug strain of fungus.
Scientists worldwide engaged in research to develop a biomarker for dementia are predicting success, though some say additional research will be needed
Could a blood test for Alzheimer’s disease soon be on clinical laboratory test menus nationwide? Perhaps so. A recent Associated Press (AP) article that was picked up by NBC News and other healthcare publications reported that experimental test results presented during the Alzheimer’s Association International Conference (AAIC) in July suggest the Holy Grail of dementia tests—one where the specimen can be collected in a doctor’s office during a routine screening exam—may be close at hand.
The AP story noted that “half a dozen research groups gave new results on various experimental tests, including one that seems 88% accurate at indicating Alzheimer’s risk.” And Richard Hodes, MD, Director of the National Institute on Aging, told AP, “In the past year, we’ve seen a dramatic acceleration in progress [on Alzheimer’s tests]. This has happened at a pace that is far faster than any of us would have expected.”
This could be a boon for medical laboratories seeking way to contribute more value to patient care. Especially among Alzheimer’s patients, who account for as many as 70% of all dementia cases.
Plasma Biomarker for Predicting Alzheimer’s
One of the experimental blood tests presented at the AAIC involved a 2018 study into “the potential clinical utility of plasma biomarkers in predicting brain amyloid-β burden at an individual level. These plasma biomarkers also have cost-benefit and scalability advantages over current techniques, potentially enabling broader clinical access and efficient population screening,” the researchers stated an article they published in Nature.
AP also reported that Japanese scientists at the AAIC
presented results of a validation test conducted on 201 people who had either
Alzheimer’s, other types of dementia, or little or no symptoms. They found that
the test “correctly identified 92% of people who had Alzheimer’s and correctly
ruled out 85% who did not have it, for an overall accuracy of 88%.”
Akinori Nakamura, MD, PhD, of the National Center for
Geriatrics and Gerontology in Obu, Japan, was a member of the research team and
first author of the research paper. He told the AP that the test results “closely
matched those from the top tests used now—three types of brain scans and a
mental assessment exam.”
Koichi Tanaka is a Japanese engineer who won the Nobel prize winner for chemistry. He heads the Koichi Tanaka Research Lab at Shimadzu Corp. (OTCMKTS:SHMZF) in Kyoto, Japan, and was on the team that developed the Amyloid beta biomarker test that was presented at AAIC. He told Bloomberg, “Our finding overturned the common belief that it wouldn’t be possible to estimate amyloid accumulation in the brain from blood. We’re now being chased by others, and the competition is intensifying.”
But Tanaka cautions that the test needs further study before
it is ready for clinical use, and that for now “it belongs in the hands of drug
developers and research laboratories,” Bloomberg reported.
Other Studies into Developing an Alzheimer’s Biomarker
Alzheimer’s is usually diagnosed after symptoms appear, such
as memory loss. To arrive at their diagnoses, doctors often rely on medical
history, brain imaging (MRI, CT), PET, and measurement of amyloid in spinal
fluid.
An article published on Alzforum, a website and news service dedicated to the research and treatment for Alzheimer’s and other related disorders, noted a study by King’s College London researchers who, using mass spectrometry, “found a panel of biomarkers that predicted with almost 90% accuracy whether cognitively normal people had a positive amyloid scan.”
Nicholas Ashton, PhD, neuroscientist and Wallenberg Postdoctoral Fellow at University of Gothenburg in Sweden, and first author of the King’s College study, explained that “Amyloid-burden and neurofilament light polypeptide (NFL) peptides were important in predicting Alzheimer’s, but alone they weren’t as predictable as when we combined them with novel proteins related to amyloid PET.”
The researchers published their study earlier this year in Science Advances. “Using an unbiased mass spectrometry approach, we have found and replicated with high accuracy, specificity, and sensitivity a plasma protein classifier reflecting amyloid-beta burden in a cognitively unimpaired cohort,” the researchers wrote.
Meanwhile, researchers at Washington University School of Medicine St. Louis, along with the German Center for Neurodegenerative Diseases, a member of the Helmholtz Association, stated in a news release that a blood test they developed works by detecting leaks of NFL before the onset of symptoms. When the protein is found in cerebrospinal fluid, it could be a sign that Alzheimer’s may develop, as well as point to other neurodegenerative conditions such as multiple sclerosis, brain injury, or stroke, the researchers stated.
“This is something that would be easy to incorporate into a screening test in a neurology clinic,” Brian Gordon, PhD, Assistant Professor of Radiology at Washington University’s Mallinckrodt Institute of Radiology, and an author of the study, stated in the news release.
These parallel studies into screening for Alzheimer’s by
researchers worldwide are intriguing. The favorable results suggest that
someday there may be a screen for Alzheimer’s using a clinical laboratory blood
test.
With Alzheimer’s affecting nearly six million Americans of all ages, such an assay would enable clinical laboratories to help many people.
Especially for busy hospital emergency departments, avoiding blood culture contamination is a constant challenge for those tasked with collecting blood culture specimens
Better, faster diagnosis and treatment of sepsis continues to be a major
goal at hospitals, health networks, and other medical facilities throughout the
United States. Yet microbiologists
and clinical
laboratory managers continue to be frustrated with how frequently
contaminated blood culture specimens show up in the laboratory.
A recent poll of more than 200 healthcare professionals who
attended a
sponsored webinar hosted by Dark Daily, showed that nearly 10% of
those who responded reported an overall blood culture contamination rate in
their hospitals at above 4%.
However, the arrival of new technology may provide hospital
staff with a way to reduce contamination rates in blood culture specimens, in
ways that improve patient outcomes.
The effectiveness of a new tool, the Steripath Initial Specimen Diversion
Device (ISDD), is being demonstrated in a growing number of prominent
hospitals in different regions of the United States. What will be particularly
intriguing to clinical laboratory professionals is that the ISDD is capable of
collecting blood while minimizing the problems caused by human factors, micro-organisms,
and skin plugs or fragments. This device was developed by Magnolia Medical Technologies
of Seattle, Wash.
The ISDD isolates the initial 1.5
to 2.0 mL aliquot of the blood culture sample, which is most likely to be
contaminated with microscopic skin fragments colonized with bacteria. The device diverts this initial aliquot into a sequestration
chamber, mechanically isolating it from the rest of the sample, and then
automatically opens an independent sterile pathway into blood culture collection
bottles.
Such technology may be welcomed by medical laboratory
professionals based in hospitals and other healthcare facilities. That’s
because it is the lab staff that typically identifies a contaminated blood
culture specimen and must go back to the nurses, staffers, and physicians on
the wards to have them redraw an acceptable specimen that will produce an
accurate, reliable result. Patients under these circumstances generally
continue on unnecessary broad-spectrum antibiotics, and their length of stays
have been reported to increase by two days on average.
Problem of Decentralized Phlebotomy
One problem contributing to high blood culture rates is
that, in many hospitals and health networks, phlebotomy has been decentralized
and is no longer managed by the clinical laboratory.
“I’ve seen the havoc decentralized phlebotomy wreaks on contamination rates of blood culture rates,” stated Dennis Ernst, Director of the Center for Phlebotomy Education based in Mio, Mich. “That staffing model, which swept through the hospital industry in the late 1990s, may have looked good on paper, but I can count the number of facilities that have successfully decentralized on the fingers of one hand. And I don’t know of any decentralized setting that has an acceptable blood culture contamination rate.”
Ernst, a medical
technologist and educator, has seen the
difficulty in lowering contamination rates in a decentralized,
multidisciplinary workforce. He has worked for more than 20 years advocating
for best practices in the diagnostic blood collection industry and has helped clinical
laboratory facilities achieve a 90% reduction in their contamination rates. Ernst considers blood
culture contamination to be among the “low-hanging fruit” in every laboratory
that can be easily and permanently corrected with the proper approach.
“One statistic we’ve heard over and over again is that the American Society of Microbiology established the ‘threshold’ for blood culture contamination to be 3%,” Ernst said. “I believe strongly that a 1% contamination rate or less is what should be required and that it’s not only achievable, but sustainable.”
Regardless of
staffing mix, blood culture contamination is a common problem in the emergency
department, Ernst explained during his presentation, “Evidence-Based
Technology to Reduce Blood Culture Contamination, Improve Patient Care, and
Reduce Costs in Your Clinical Lab or Hospital,” which is available
free for streaming.
Improving Patient Care and Reducing Avoidable Costs
With unnecessary
antibiotic use, increased length of stay, and the cost of unnecessary
laboratory testing at issue, hospitals are tracking blood culture collection
results and exploring ways to reduce episodes of blood culture contamination. On these and other healthcare quality
improvement aims, providers are publishing study results on contamination
reduction and potential direct and indirect hospital cost savings. For example:
At the University of Nebraska, a
prospective, controlled, matched-pair clinical study showed an 88% reduction in
blood culture contamination with a 12-month sustained rate of 0.2% when
Steripath was used by phlebotomists in the ED. The author estimated the institution
would save approximately $1.8 million if the technology was adopted
hospitalwide, reported an article in Clinical
Infectious Diseases in July 2017.
Florida-based Lee
Health system’s microbiology laboratory reported an 83% reduction in
contamination rates comparing their standard method to ISDD for a seven-month
trial period. Their systemwide potential cost avoidance estimates ranged from
$4.35 million to nearly $11 million, reported an article in the Journal of Emergency
Nursing in November 2018.
Researchers from Massachusetts General reported that
ISDD is the single most effective intervention so far explored for reducing
costs related to false-positive blood cultures, potentially saving the typical
250- to 400-bed hospital $1.9 million or $186 per blood culture and preventing
34 hospital-acquired conditions (including three C.
difficile cases). The recent article “Model to Evaluate the Impact of
Hospital-based Interventions Targeting False-Positive Blood Cultures on
Economic and Clinical Outcomes” in the Journal
of Hospital Infection explains more.
Blood Facilities Should be Tracking Their Contamination
Rate
One of the biggest challenges faced during blood sample
collection is making sure an organism is not inadvertently introduced into the
blood. Therefore, importance has been placed on clinical laboratories and other healthcare providers
developing policies and procedures to limit the introduction of likely
contaminants.
“I believe most places monitor blood culture contamination,
but they are not doing much that is effective to reduce it,” Ernst said.
“That’s a real problem.”
To assist healthcare providers in blood culture quality
improvement, the free webinar, “Evidence-Based Technology to Reduce Blood
Culture Contamination, Improve Patient Care, and Reduce Costs in Your Clinical
Lab or Hospital,” available on-demand through Dark Daily, can be
downloaded by clicking here,
or by pasting the URL “https://darkintelligenceprogramsondemand.uscreen.io/programs/evidence-based-technology-to-reduce-blood-culture-contamination-improve-patient-care-and-reduce-costs-in-your-clinical-lab-or-hospital”
into a web browser.
This program, which polled more than 200 healthcare
professionals, explores the clinical and economic significance of blood culture
contamination, the downstream impact of false-positive blood cultures, and case-study
evidence of sustained reductions in contamination.
Using animal blood, the researchers hope to improve the accuracy of AI driven diagnostic technology
What does a cheetah, a tortoise, and a Humboldt penguin have
in common? They are zoo animals helping scientists at Saarland University in
Saarbrücken, Germany, find biomarkers that can help computer-assisted diagnoses
of diseases in humans at early stages. And they are not the only animals
lending a paw or claw.
In their initial research, the scientists used blood samples
that had been collected during routine examinations of 21 zoo animals between
2016 and 2018, said a news
release. The team of bioinformatics
and human genetics experts
worked with German zoos Saarbrücken and Neunkircher for the study. The project
progresses, and thus far, they’ve studied the blood of 40 zoo animals, the
release states.
This research work may eventually add useful biomarkers and
assays that clinical
laboratories can use to support physicians as they diagnose patients,
select appropriate therapies, and monitor the progress of their patients. As medical
laboratory scientists know, for many decades, the animal kingdom has been
the source of useful insights and biological materials that have been
incorporated into laboratory assays.
“Measuring the molecular blood profiles of animals has never
been done before this way,” said Andreas
Keller, PhD, Saarland University Bioinformatics Professor and Chair for
Clinical Bioinformatics, in the news release. The Saarland researchers published
their findings in Nucleic Acids
Research, an Oxford
Academic journal.
“Studies on sncRNAs [small non-coding RNAs] are often largely based on homology-based information, relying on genomic sequence similarity and excluding actual expression data. To obtain information on sncRNA expression (including miRNAs, snoRNAs, YRNAs and tRNAs), we performed low-input-volume next-generation sequencing of 500 pg of RNA from 21 animals at two German zoological gardens,” the article states.
Can Animals Improve the Accuracy of AI to Detect Disease
in Humans?
However, the researchers perceived an inability for AI and machine learning to
discern real biomarker patterns from those that just seemed to fit.
“The machine learning methods recognize the typical
patterns, for example for a lung tumor or Alzheimer’s disease. However, it is
difficult for artificial intelligence to learn which biomarker patterns are
real and which only seem to fit the respective clinical picture. This is where
the blood samples of the animals come into play,” Keller states in the news
release.
“If a biomarker is evolutionarily conserved, i.e. also
occurs in other species in similar form and function, it is much more likely
that it is a resilient biomarker,” Keller explained. “The new findings are now
being incorporated into our computer models and will help us to identify the
correct biomarkers even more precisely in the future.”
“Because blood can be obtained in a standardized manner and
miRNA expression patterns are technically very stable, it is easy to accurately
compare expression between different animal species. In particular, dried blood
spots or microsampling devices appear to be well suited as containers for
miRNAs,” the researchers wrote in Nucleic Acids Research.
Animal species that participated in the study include:
Additionally, human volunteers contributed blood specimens
for a total of 19 species studied. The scientists reported success in capturing
data from all of the species. They are integrating the information into their
computer models and have developed a public database of their
findings for future research.
“With our study, we provide a large collection of small RNA
NGS expression data of species that have not been analyzed before in great
detail. We created a comprehensive publicly available online resource for
researchers in the field to facilitate the assessment of evolutionarily
conserved small RNA sequences,” the researchers wrote in their paper.
Clinical Laboratory Research and Zoos: A Future
Partnership?
This novel involvement of zoo animals in research aimed at improving
the ability of AI driven diagnostics to isolate and identify human disease is
notable and worth watching. It is obviously pioneering work and needs much
additional research. At the same time, these findings give evidence that there
is useful information to be extracted from a wide range of unlikely sources—in
this case, zoo animals.
Also, the use of artificial intelligence to search for
useful patterns in the data is a notable part of what these researchers
discovered. It is also notable that this research is focused on sequencing DNA
and RNA of the animals involved with the goal of identifying sequences that are
common across several species, thus demonstrating the common, important
functions they serve.
In coming years, those clinical laboratories doing genetic
testing in support of patient care may be incorporating some of this research
group’s findings into their interpretation of certain gene sequences.
Kaiser
Health News (KHN) recently
reported on investigations by the OIG into hospitals allegedly offering
unusually high salaries and other perks to specialists because they attract highly
profitable business.
Wheeling, KHN reported, paid one anesthesiologist $1.2
million per year, which, Rau notes, is higher than the salaries of 90% of the
pain management specialists around the country. Rau went on to describe how
Wheeling also paid one obstetrician-gynecologist $1.3 million per year, and a
cardiothoracic surgeon $770,000 per year along with 12 weeks of vacation time.
In each of those cases, the whistleblower who prompted the qui tam investigation reported
that the specialists’ various departments were frequently in the red, reported KHN.
“The problem, according to the government, is that the
efforts run counter to federal self-referral bans and anti-kickback laws that
are designed to prevent financial considerations from warping physicians’
clinical decisions,” wrote Rau.
Wheeling not only contests the lawsuits brought against it,
but also has filed a countersuit against the whistleblower. KHN said the
hospital claims “its generous salaries were not kickbacks but the only way it
could provide specialized care to local residents who otherwise would have to
travel to other cities for services such as labor and delivery that are best
provided near home.”
OIG’s Fraud and Abuse Laws: A Roadmap for Physicians
The KHN article mentions
five laws the OIG lists on
its website that are particularly important for physicians to be aware of. They
include the:
False Claims Act: states that it’s illegal to file false Medicare or Medicaid claims.
Anti-Kickback Statute: states that paying for referrals is illegal, that physicians can’t provide free or discounted services to uninsured people, and that money and gifts from drug and device makers to physicians are prohibited.
Stark Law(physician self-referral): says that referrals to entities with whom the physician has a familial or financial relationship are off-limits.
Exclusion Statue: describes who cannot participate in federal programs, such as Medicare.
Civil Monetary Penalties Law: authorizes the Secretary of Health and Human Services, which operates the OIG, to impose penalties in cases of fraud and abuse that involve Medicare or Medicaid.
“Together, these rules are intended to remove financial
incentives that can lead doctors to order up extraneous tests and treatments
that increase costs to Medicare and other insurers and expose patients to
unnecessary risks,” KHN said.
Other Hospitals Under Investigation
Wheeling Hospital is not the only healthcare institution
facing investigation. The Dallas
Morning News (DMN) reported on a case involving Forest
Park Medical Center (FPMC) in Dallas that resulted in the conviction of
seven defendants, including four doctors. Prosecutors outlined the scheme in
court, saying that FPMC illegally paid for surgeries.
“Prosecutors said the surgeons agreed to refer patients to
the Dallas hospital in exchange for money to market their practices,” DMN
reported, adding “Patients were a valuable commodity sold to the highest
bidder, according to the government.”
One of the convicted physicians, Michael Rimlawi, MD,
told DMN, “I’m in disbelief. I thought we had a good system, a fair
system.” His statement may indicate the level to which some healthcare
providers at FPMC did not clearly understand how anti-kickback laws work.
“The verdict in the Forest Park case is a reminder to
healthcare practitioners across the district that patients—not payments—should
guide decisions about how and where doctors administer treatment,” US Attorney Erin Nealy Cox told DMN.
Know What Is and Is Not a Kickback
Both the Wheeling Hospital investigation and the Forest Park
Medical Center case make it clear that kickbacks don’t always look like
kickbacks. Becker’s Hospital Review
published an article titled “Four
Biggest Anti-Kickback Settlements Involving Hospitals in 2018” that details
cases in which hospitals chose to settle.
These four incidents involved hospitals in Tennessee,
Montana, Pennsylvania, and New York. This demonstrates that kickback schemes
take place nationwide. And they show that violations of the Stark Law, the
False Claims Act, and the Anti-Kickback Statute can happen in numerous ways.
Whether in a clinical laboratory or an enterprisewide health
network, violating laws written to prevent money—rather than appropriate
patient care—from being the primary motivator in hiring decisions, may result
in investigation, charges, fines, and even conviction.
“If we’re going to solve the healthcare pricing problem,
these kinds of practices are going to have to go away,” Vikas Saini, MD, President
of the Lown Institute, a Massachusetts
nonprofit that advocates for affordable care, told KHN.
Though these recent OIG investigations target hospitals,
clinical laboratory leaders know from past experience that they also must be
vigilant and ensure their hiring practices do not run afoul of anti-kickback
legislation.