Study findings could lead to new clinical laboratory diagnostics that give pathologists a more detailed understanding about certain types of cancer
New studies proving artificial intelligence (AI) can be used effectively in clinical laboratory diagnostics and personalized healthcare continue to emerge. Scientists in the UK recently trained an AI model using machine learning and deep learning to enable earlier, more accurate detection of 13 different types of cancer.
DNA stores genetic information in sequences of four nucleotide bases: A (adenine), T (thymine), G (guanine) and C (cytosine). These bases can be modified through DNA methylation. There are millions of DNA methylation markers in every single cell, and they change in the early stages of cancer development.
One common characteristic of many cancers is an epigenetic phenomenon called aberrant DNA methylation. Modifications in DNA can influence gene expression and are observable in cancer cells. A methylation profile can differentiate tumor types and subtypes and changes in the process often come before malignancy appears. This renders methylation very useful in catching cancers while in the early stages.
However, deciphering slight changes in methylation patterns can be extremely difficult. According to the scientists, “identifying the specific DNA methylation signatures indicative of different cancer types is akin to searching for a needle in a haystack.”
Nevertheless, the researchers believe identifying these changes could become a useful biomarker for early detection of cancers, which is why they built their AI models.
“Computational methods such as this model, through better training on more varied data and rigorous testing in the clinic, will eventually provide AI models that can help doctors with early detection and screening of cancers,” said Shamith Samarajiwa, PhD (above), Senior Lecturer and Group Leader, Computational Biology and Genomic Data Science, Imperial College London, in a news release. “This will provide better patient outcomes.” With additional research, clinical laboratories and pathologists may soon have new cancer diagnostics based on these AI models. (Photo copyright: University of Cambridge.)
The researchers then used a combination of machine learning and deep learning techniques to train an AI algorithm to examine DNA methylation patterns of the collected data. The algorithm identified and differentiated specific cancer types, including breast, liver, lung and prostate, from non-cancerous tissue with a 98.2% accuracy rate. The team evaluated their AI model by comparing the results to independent research.
In their Biology Methods and Protocols paper, the authors noted that their model does require further training and testing and stressed that “the important aspect of this study was the use of an explainable and interpretable core AI model.” They also claim their model could help medical professionals understand “the underlying mechanisms that contribute to the development of cancer.”
Using AI to Lower Cancer Rates Worldwide
According to the Centers for Disease Control and Prevention (CDC), cancer ranks as the second leading cause of death in the United States with 608,371 deaths reported in 2022. The leading cause of death in the US is heart disease with 702,880 deaths reported in the same year.
Globally cancer diagnoses and death rates are even more alarming. World Health Organization (WHO) data shows an estimated 20 million new cancer cases worldwide in 2022, with 9.7 million persons perishing from various cancers that year.
The UK researchers are hopeful their new AI model will help lower those numbers. They state in their paper that “most cancers are treatable and curable if detected early enough.”
More research and studies are needed to confirm the results of this study, but it appears to be a very promising line of exploration and development of using AI to detect, identify, and diagnose cancer earlier. This type of probing could provide pathologists with improved tools for determining the presence of cancer and lead to better patient outcomes.
Shortage could disrupt the ability of clinical laboratories in hospitals and health systems to run certain tests for bloodstream infections
US clinical laboratories may soon experience a “disruption of availability” of BACTEC blood culture media bottles distributed by Becton Dickinson (BD). That’s according to the federal Centers for Disease Control and Prevention (CDC) which issued a Health Alert Network (HAN) Health Advisory to all clinical laboratory professionals, healthcare providers and facility administrators, and other stakeholders warning of the potential shortfall of critical testing supplies.
“This shortage has the potential to disrupt patient care by leading to delays in diagnosis, misdiagnosis, or other challenges in the clinical management of patients with certain infectious diseases,” the CDC stated in the health advisory.
The CDC advises healthcare providers and health departments that use the bottles to “immediately begin to assess their situations and develop plans and options to mitigate the potential impact of the shortage on patient care.”
The advisory notes that the bottles are a key component in continuous-monitoring blood culture systems used to diagnose bloodstream infections and related conditions, such as endocarditis, sepsis, and catheter-related infections. About half of all US laboratories use the BD blood culture system, which is compatible only with the BACTEC bottles, the CDC advisory states.
Infectious disease specialist Krutika Kuppalli, MD (above), Chair of the Infectious Diseases Society of America (IDSA) and a Medical Officer for COVID-19 Health Operations at the World Health Organization, outlined the potential impact of the shortage on healthcare providers and clinical laboratories. “Without the ability to identify pathogens or [their susceptibility to specific antibiotics], patients may remain on broad antibiotics, increasing the risk of antibiotic resistance and Clostridium difficile-associated diarrhea,” she told STAT. “Shortages may also discourage ordering blood cultures, leading to missed infections that need treatment.” (Photo copyright: Loyola University Health System.)
FDA Advises Conservation of Existing BACTEC Supplies
The CDC advisory followed a July 10 notice from the US Food and Drug Administration (FDA) that also warned healthcare providers of “interruptions in the supply” of the bottles. The supply disruption “is expected to impact patient diagnosis, follow up patient management, and antimicrobial stewardship efforts,” the FDA’s letter states. “The FDA recommends laboratories and healthcare providers consider conservation strategies to prioritize the use of blood culture media bottles, preserving the supply for patients at highest risk.”
Hospitals have been warned that the bottle shortage could last until September, STAT reported.
BD issued a press release in which BD Worldwide Diagnostic Solutions President Nikos Pavlidis cast blame for the shortage on an unnamed supplier.
“We understand the critical role that blood culture testing plays in diagnosing and treating infections and are taking all available measures to address this important issue, including providing the supplier our manufacturing expertise, using air shipments, modifying BD manufacturing schedules for rapid production, and collaborating with the US Food and Drug Administration to review all potential options to mitigate delays in supply,” Pavlidis said. “As an additional stopgap measure, our former supplier of glass vials will restart production to help fill the intermittent gap in supply.”
Steps Clinical Laboratories Can Take
The CDC and FDA both suggested steps that clinical laboratories and other providers can take to conserve their supplies of the bottles.
Laboratories should strive to prevent contamination of blood cultures, which “can negatively affect patient care and may require the collection of more blood cultures to help determine whether contamination has occurred,” the CDC advised.
In addition, providers should “ensure that the appropriate volume is collected when collecting blood for culture,” the advisory states. “Underfilling bottles decreases the sensitivity to detect bacteremia/fungemia and may require additional blood cultures to be drawn to diagnose an infection.”
Laboratories should also explore alternative options, such as “sending samples out to a laboratory not affected by the shortage.”
The FDA advised providers to collect blood cultures “when medically necessary” in compliance with clinical guidelines, giving priority to patients exhibiting signs of a bloodstream infection.
In an email to STAT, Andrew T. Pavia, MD, Professor of Internal Medicine and Pediatrics at the University of Utah, offered examples of situations where blood culture tests are unnecessary according to clinical guidelines.
“There are conditions like uncomplicated community acquired pneumonia or skin infections where blood cultures are often obtained but add very little,” he told STAT. “It will be critical though that blood cultures are obtained from patients with sepsis, those likely to have bloodstream infections, and very vulnerable patients.”
Hospitals Already Addressing Shortage
STAT reported that some hospitals have already taken measures to reduce the number of tests they run. And some are looking into whether they can safely use bottles past their expiration dates.
Sarah Turbett, MD, Associate Director of Clinical Microbiology Laboratories at Massachusetts General Hospital in Boston, told STAT that her team tested bottles “that were about 100 days past their expiration date to see if they were still able to detect pathogens with the same efficacy as bottles that had not yet expired. They saw no difference in the time to bacterial growth—needed to detect the cause of an infection—in the expired bottles when compared to bottles that had not expired.”
Turbett pointed to a letter in the Journal of Clinical Microbiology and Infection in which European researchers found that bottles from a different brand “were stable for between four and seven months after their expiration dates,” STAT reported.
During a Zoom call hosted by the CDC and the IDSA, hospital representatives asked if the FDA would permit use of expired bottles. However, “a representative of the agency was not able to provide an immediate answer,” STAT reported.
With sepsis being the leading cause of death in hospitals, these specimen bottles for blood culture testing are essential in diagnosing patients with relevant symptoms. This is a new example of how the supply chain for clinical laboratory instruments, tests, and consumables—which was a problem during the SARS-CoV-2 pandemic—continues to be problematic in unexpected ways.
Taking a wider view of supply chain issues that can be disruptive to normal operations of clinical laboratories and anatomic pathology groups, the market concentration of in vitro diagnostics (IVD) manufacturers means fewer vendors offering the same types of products. Consequently, if a lab’s prime vendor has a supply chain issue, there are few options available to swiftly purchase comparable products.
A separate but related issue in the supply chain involves “just in time” (JIT) inventory management—made famous by Taiichi Ohno of Toyota back in the 1980s. This management approach was designed to deliver components and products to the user hourly, daily, and weekly, as appropriate. The goal was to eliminate the cost of carrying large amounts of inventory. This concept evolved into what today is called the “Lean Manufacturing” method.
However, as was demonstrated during the SARS-CoV-2 pandemic, manufacturers and medical laboratories that had adopted JIT found themselves with inadequate numbers of components and finished products.
In the case of the current shortage of BD blood culture media bottles, this is a real-world example of how market concentration limited the number of vendors offering comparable products. At the same time, if this particular manufacturer was operating with the JIT inventory management approach, it found itself with minimal inventories of these media bottles to ship to lab clients while it addressed the manufacturing problems that caused this shortage.
Study results from Switzerland come as clinical laboratory scientists seek new ways to tackle the problem of antimicrobial resistance in hospitals
Microbiologists and clinical laboratory scientists engaged in the fight against antibiotic-resistant (aka, antimicrobial resistant) bacteria will be interested in a recent study conducted at the University of Basel and University Hospital Basel in Switzerland. The epidemiologists involved in the study discovered that some of these so-called “superbugs” can remain in the body for as long as nine years continuing to infect the host and others.
The researchers wanted to see how two species of drug-resistant bacteria—K. pneumoniae and E. coli—changed over time in the body, according to a press release from the university. They analyzed samples of the bacteria collected from patients who were admitted to the hospital over a 10-year period, focusing on older individuals with pre-existing conditions. They found that K. pneumoniae persisted for up to 4.5 years (1,704 days) and E. coli persisted for up to nine years (3,376 days).
“These patients not only repeatedly become ill themselves, but they also act as a source of infection for other people—a reservoir for these pathogens,” said Lisandra Aguilar-Bultet, PhD, the study’s lead author, in the press release.
“This is crucial information for choosing a treatment,” explained Sarah Tschudin Sutter, MD, Head of the Division of Infectious Diseases and Hospital Epidemiology, and of the Division of Hospital Epidemiology, who specializes in hospital-acquired infections and drug-resistant pathogens. Sutter led the Basel University study.
“The issue is that when patients have infections with these drug-resistant bacteria, they can still carry that organism in or on their bodies even after treatment,” said epidemiologist Maroya Spalding Walters, MD (above), who leads the Antimicrobial Resistance Team in the Division of Healthcare Quality Promotion at the federal Centers for Disease Control and Prevention (CDC). “They don’t show any signs or symptoms of illness, but they can get infections again, and they can also transmit the bacteria to other people.” Clinical laboratories working with microbiologists on antibiotic resistance will want to follow the research conducted into these deadly pathogens. (Photo copyright: Centers for Disease Control and Prevention.)
COVID-19 Pandemic Increased Antibiotic Resistance
The Basel researchers looked at 76 K. pneumoniae isolates recovered from 19 patients and 284 E. coli isolates taken from 61 patients, all between 2008 and 2018. The study was limited to patients in which the bacterial strains were detected from at least two consecutive screenings on admission to the hospital.
“DNA analysis indicates that the bacteria initially adapt quite quickly to the conditions in the colonized parts of the body, but undergo few genetic changes thereafter,” the Basel University press release states.
The researchers also discovered that some of the samples, including those from different species, had identical mechanisms of drug resistance, suggesting that the bacteria transmitted mobile genetic elements such as plasmids to each other.
One limitation of the study, the authors acknowledged, was that they could not assess the patients’ exposure to antibiotics.
Meanwhile, recent data from the World Health Organization (WHO) suggests that the COVID-19 pandemic might have exacerbated the challenges of antibiotic resistance. Even though COVID-19 is a viral infection, WHO scientists found that high percentages of patients hospitalized with the disease between 2020 and 2023 received antibiotics.
“While only 8% of hospitalized patients with COVID-19 had bacterial co-infections requiring antibiotics, three out of four or some 75% of patients have been treated with antibiotics ‘just in case’ they help,” the WHO stated in a press release.
WHO uses an antibiotic categorization system known as AWaRe (Access, Watch, Reserve) to classify antibiotics based on risk of resistance. The most frequently prescribed antibiotics were in the “Watch” group, indicating that they are “more prone to be a target of antibiotic resistance and thus prioritized as targets of stewardship programs and monitoring.”
“When a patient requires antibiotics, the benefits often outweigh the risks associated with side effects or antibiotic resistance,” said Silvia Bertagnolio, MD, Unit Head in the Antimicrobial resistance (AMR) Division at the WHO in the press release. “However, when they are unnecessary, they offer no benefit while posing risks, and their use contributes to the emergence and spread of antimicrobial resistance.”
Citing research from the National Institutes of Health (NIH), NPR reported that in the US, hospital-acquired antibiotic-resistant infections increased 32% during the pandemic compared with data from just before the outbreak.
“While that number has dropped, it still hasn’t returned to pre-pandemic levels,” NPR noted.
The UPenn researchers have already developed an antimicrobial treatment derived from guava plants that has proved effective in mice, Vox reported. They’ve also trained an AI model to scan the proteomes of extinct organisms.
“The AI identified peptides from the woolly mammoth and the ancient sea cow, among other ancient animals, as promising candidates,” Vox noted. These, too, showed antimicrobial properties in tests on mice.
These findings can be used by clinical laboratories and microbiologists in their work with hospital infection control teams to better identify patients with antibiotic resistant strains of bacteria who, after discharge, may show up at the hospital months or years later.
Infection control teams and clinical laboratory managers may want to look at this new product designed to improve the diagnosis and treatment of sepsis
Accurate and fast diagnosis of sepsis for patients arriving in emergency departments is the goal of a new product that was just cleared by the federal Food and Drug Administration (FDA). It is also the newest example of how artificial intelligence (AI) continues to find its way into pathology and clinical laboratory medicine.
Sepsis is one of the deadliest killers in US hospitals. That is why there is interest in the recent action by the FDA to grant marketing authorization for an AI-powered sepsis detection software through the agency’s De Novo Classification Request. The DNCR “provides a marketing pathway to classify novel medical devices for which general controls alone, or general and special controls, provide reasonable assurance of safety and effectiveness for the intended use, but for which there is no legally marketed predicate device,” the FDA’s website states.
Unlike a single analyte assay that is run in a clinical laboratory, Prenosis’ AI/ML software uses 22 diagnostic and predictive parameters, along with ML algorithms, to analyze data and produce a clinically actionable answer on sepsis.
It is important for clinical laboratory managers and pathologists to recognize that this diagnostic approach to sepsis brings together a number of data points commonly found in a patient’s electronic health record (EHR), some of which the lab generated and others the lab did not generate.
“Sepsis is a serious and sometimes deadly complication. Technologies developed to help prevent this condition have the potential to provide a significant benefit to patients,” said Jeff Shuren, MD, JD, Director of the FDA’s Center for Devices and Radiological Health, in a statement. “The FDA’s authorization of the Prenosis Sepsis ImmunoScore software establishes specific premarket and post-market requirements for this device type.” Clinical laboratory EHRs contain some of the data points Prenosis’ diagnostic software uses. (Photo copyright: US Food and Drug Administration.)
How it Works
To assist doctors diagnose sepsis, the ImmunoScore software is first integrated into the patient’s hospital EHR. From there, it leverages 22 parameters including:
White blood cell count to produce a score that informs caregivers of the patient’s risk for sepsis within 24 hours, MedTech Dive reported.
Instead of requiring a doctor or nurse to look at each parameter separately, the SaMD tool uses AI “to evaluate all those markers at once”, CNBC noted. It then produces a risk score and four discrete risk stratification categories (low, medium, high, and very high) which correlate to “a patient’s risk of deterioration” represented by:
By sharing these details—a number from one to 100 for each of the 22 diagnostic and predictive parameters—Sepsis ImmunoScore helps doctors determine which will likely contribute most to the patient’s risk for developing sepsis, MedTech Dive reported.
“A lot of clinicians don’t trust AI products for multiple reasons. We are trying very hard to counter that skepticism by making a tool that was validated by the FDA first, and then the second piece is we’re not trying to replace the clinician,” Bobby Reddy Jr., PhD, Prenosis co-founder and CEO, told MedTech Dive.
Big Biobank and Blood Sample Data
Prenosis, which says its goal is the “enabling [of] precision medicine in acute care” developed Sepsis ImmunoScore using the company’s own biobank and a dataset of more than 100,000 blood samples from more than 25,000 patients.
AI algorithms drew on this biological/clinical dataset—the largest in the world for acute care patients suspected of having serious infections, according to Prenosis—to “elucidate patterns in rapid immune response.”
“It does not work without data, and the data started at Carle,” said critical care specialist Karen White, MD, PhD, Carle Foundation Hospital, St. Louis, MO, in the news release. “The project involved a large number of physicians, research staff, and internal medicine residents at Carle who helped recruit patients, collect data, and samples,” she said.
Opportunity for Clinical Laboratories
Sepsis is a life-threatening condition based on an “extreme response to an infection” that affects nearly 1.7 million adults in the US each year and is responsible for 350,000 deaths, according to US Centers for Disease Control and Prevention (CDC) data.
A non-invasive diagnostic tool like Sepsis ImmunoScore will be a boon to emergency physicians and the patients they treat. Now that the FDA has authorized the SaMD diagnostic tool to go to market, it may not be long before physicians can use the information it produces to save lives.
Clinical laboratory managers inspired by the development of Sepsis ImmunoScore may want to look for similar ways they can take certain lab test results and combine them with other data in an EHR to create intelligence that physicians can use to better treat their patients. The way forward in laboratory medicine will be combining lab test results with other relevant sets of data to create clinically actionable intelligence for physicians, patients, and payers.
Clinical laboratory managers should prepare for an increase in demand for measles testing, especially for children
Clinical laboratory managers should be on the alert for new cases of measles. The US Centers for Disease Control and Prevention (CDC) has reported a surge in the highly infectious disease. Public health experts pointed to declining vaccination coverage as the primary cause. Officials in other countries have also reported outbreaks.
In 2000, the US declared that measles had been eliminated, meaning it “is no longer constantly present in this country,” the CDC stated on its website. However, the agency noted travelers can still bring the disease into the country and that there have been sporadic outbreaks since then.
In a new study, published April 11, 2024, in the CDC’s Morbidity and Mortality Weekly Report (MMWR), the agency reported that it was notified of 97 confirmed cases in the first quarter of 2024. That compares to an average of five cases during the first quarters of 2020 through 2023, the agency stated. In total, 338 cases were reported to the CDC between Jan. 1, 2020, and March 28, 2024, so the latest outbreaks amount to 29%—nearly a third—of the total.
“While the risk for measles for the majority of the US population still remains low, it’s crucial that we take the necessary steps now to prevent the continued spread of measles and maintain elimination in the US,” Adria D. Mathis, MSPH, lead author of the CDC report, told Healthline. Mathis is affiliated with the CDC’s Division of Viral Diseases at the National Center for Immunization and Respiratory Diseases (NCIRD).
“We have seen, in the region, not only a 30-fold increase in measles cases, but also nearly 21,000 hospitalizations and five measles-related deaths. This is concerning,” Hans Henri P. Kluge, MD (above), WHO Regional Director for Europe, told BBC News. “Vaccination is the only way to protect children from this potentially dangerous disease.” Clinical laboratories in the US that identify a case of measles from a positive test must report that result to public health labs. Thus, wise lab managers will track the rise in measles cases and prepare for increased demand for measles testing. (Photo copyright: World Health Organization.)
Renewed Threat to the US, Other Countries
The recent cases “represent a renewed threat to the US elimination status,” and “underscore the need for additional efforts to increase measles, mumps, and rubella (MMR) vaccination coverage, especially among close-knit and under-vaccinated communities,” Mathis told Healthline.
The MMWR report notes that most of the new cases were in persons under age 20, and that almost all were “in persons who were unvaccinated or whose vaccination status was unknown.” Most of the importations, the report states, were “among persons traveling to and from countries in the Eastern Mediterranean and African WHO [World Health Organization] regions; these regions experienced the highest reported measles incidence among all WHO regions during 2021–2022.”
In the US, vaccination coverage has been below 95% for three consecutive years. That is the “estimated population-level immunity necessary to prevent sustained measles transmission,” according to the federal agency. In 12 states and the District of Columbia, the coverage rate is below 90%. In total, “approximately 250,000 kindergarten children [are] susceptible to measles each year,” the CDC report states.
Measles vaccination coverage has declined globally, “from 86% in 2019 to 83% in 2022.” This left nearly 22 million children under the age of one susceptible to the disease, the report notes.
Earlier Measles Outbreaks in the US
The CDC performed its latest analysis following two larger measles outbreaks in 2019 among under-vaccinated populations in New York state.
The Associated Press (AP) reported that the 2019 epidemic, which totaled 1,274 cases nationwide, “was the worst in almost three decades and threatened the United States’ status as a country that has eliminated measles by stopping the continual spread of the measles virus.”
A vaccine for the disease first became available in 1963. Prior to its availability, “there were some three million to four million cases per year,” AP reported. Most people recover, but “in the decade before the vaccine was available, 48,000 people were hospitalized per year. … About 1,000 people developed dangerous brain inflammation from measles each year, and 400 to 500 died,” AP noted, citing CDC data.
US Not Alone in Fight against Measles
Other countries also are reporting spikes in measles cases. In a recently published rapid risk assessment, the Canadian government reported a total of 29 cases as of March 15, 2024, of which 21 were reported since Feb. 28.
“That’s already the largest annual total since 2019 and more than double the number of cases reported last year, as medical experts fear the number will rise while more Canadians travel in and out of the country this month for March break,” CBC News reported.
“New projections from a team at Simon Fraser University (SFU) in British Columbia show the grim possibilities,” CBC News reported. “The modelling suggests that vaccine coverage of less than 85% can lead to dozens of cases within small communities—or even hundreds if immunization rates are lower.”
Numbers are far worse in parts of Europe. In a February 2024 news release, the World Health Organization reported that in 2023, more than 58,000 people in its European region were infected by the disease, “resulting in thousands of hospitalizations and 10 measles-related deaths.”
According to WHO epidemiological data, countries in Central Asia, which is part of WHO’s European region, reported some of the highest numbers:
15,111 in Kazakhstan,
13,735 in Azerbaijan, and
7,044 in Kyrgyzstan.
The Russian Federation reported 12,723 cases and Turkey reported 4,559.
A WHO European Region Measles and Rubella Monthly Update notes that more than half of the regionwide cases—31,428—were reported in the last three months of 2023. More than 15,000 cases were reported in December. That compares to just 163 cases reported in 2021 and 942 in 2022. Nearly half of the cases were among children under the age of five.
Lack of Vaccinations among Children Blamed for Outbreaks
One factor that has led to the increase in measles cases was the disruption to immunization services caused by the COVID-19 pandemic. “This has resulted in a significant accumulation of susceptible children who have missed their routine vaccinations against measles and other vaccine-preventable diseases,” the WHO reported.
Among the region’s 53 member states, 33 had eliminated measles, WHO reported, but “this achievement remains fragile. To retain this status, a country must ensure that transmission of the virus following any importation is stopped within 12 months from the first reported case.”
In the UK, which reported 231 cases last year, the National Health Service has launched a campaign to improve vaccination rates, the BBC reported, noting that “more than 3.4 million children aged under 16 are unprotected and at risk of becoming ill.”
However, a public health campaign built on vaccination is successful only if a high rate of individuals get vaccinated. The Baby Boomer and Gen X generations had high rates of vaccination for smallpox, polio, etc. because the parents saw individuals in their family and neighborhood who became infected and suffered lifechanging consequences. They recognized that vaccination was a simple thing to provide protection from a potentially deadly infection.
Clinical laboratory managers and pathologists will want to follow the CDC’s ongoing reports of the number of cases of measles in this country. Today, the absolute number of new measles cases is relatively small. At the same time, in communities experiencing an outbreak of even a few measles cases, physicians may want to increase the volume of measles tests they order for their patients.
