High blood pressure in your 30s is associated with worse brain health in your 70s

Having high blood pressure in your 30s is associated with worse brain health around age 75, especially for men, according to a new UC Davis study.

The research, published this week in JAMA Network Open, compared magnetic resonance imaging (MRI) brain scans of older adults who had high blood pressure between the ages of 30 to 40 with older adults who had normal blood pressure.

The researchers found that the high blood pressure group had significantly lower regional brain volumes and worse white matter integrity. Both factors are associated with dementia.

The research also showed that the negative brain changes in some regions — such as decreased grey matter volume and frontal cortex volume — were stronger in men. They note the differences may be related to the protective benefits of estrogen before menopause.

“Treatment for dementia is extremely limited, so identifying modifiable risk and protective factors over the life course is key to reducing disease burden,” said first author Kristen M. George, an assistant professor in the Department of Public Health Sciences.

“High blood pressure is an incredibly common and treatable risk factor associated with dementia. This study indicates hypertension status in early adulthood is important for brain health decades later,” George said.

High blood pressure prevalent in U.S.

High blood pressure, also known as hypertension, is blood pressure that is higher than normal. A normal blood pressure level is less than 130/80 mmHg. The Centers for Disease Control and Prevention estimates that 47% of adults in the United States have hypertension.

The rate of high blood pressure varies by sex and race. About 50% of men have high blood pressure compared to 44% of women. The rate of hypertension is about 56% in Black adults, 48% in white adults, 46% in Asian adults and 39% in Hispanic adults. African Americans ages 35 to 64 years are 50% more likely to have high blood pressure than whites.

Data from healthy aging studies

The researchers looked at data from 427 participants from the Kaiser Healthy Aging and Diverse Life Experiences (KHANDLE) study and the Study of Healthy Aging in African Americans (STAR). This provided them with health data from 1964 to 1985 for a diverse cohort of older Asian, Black, Latino and white adults.

They obtained two blood pressure readings from when the participants were between the ages of 30 to 40. This allowed them to determine if they had been hypertensive, transitioning to hypertensive or had normal blood pressure in young adulthood.

MRI scans of the participants conducted between 2017 and 2022 allowed them to look for late-life neuroimaging biomarkers of neurodegeneration and white matter integrity.

A significant reduction in cerebral gray matter volume is seen in both men and women with hypertension but is stronger in men.

Brain scans reveal differences

Compared to participants with normal blood pressure, the brain scans of those transitioning to high blood pressure or with high blood pressure showed lower cerebral gray matter volume, frontal cortex volume and fractional anisotropy (a measure of brain connectivity). The scores for men with high blood pressure were lower than those for women.

The study joins a growing body of evidence that cardiovascular risk factors in young adulthood are detrimental to late-life brain health.

The researchers note that due to the sample size, they could not examine racial and ethnic differences and recommended interpreting results regarding sex differences with caution. They also note that the MRI data was only available from one time-point late in life. This can only determine physical properties like volumetric differences, not specific evidence of neurodegeneration over time.

“This study truly demonstrates the importance of early life risk factors, and that to age well, you need to take care of yourself throughout life — heart health is brain health,” said Rachel Whitmer, senior author of the study. Whitmer is a professor in the departments of Public Health Sciences and Neurology and chief of the Division of Epidemiology. She’s also the associate director of the UC Davis Alzheimer’s Disease Center.

“We are excited to be able to continue following these participants and to uncover more about what one can do in early life to set yourself up for healthy brain aging in late life,” Whitmer said.

Additional authors of the study include Pauline Maillard, Evan Fletcher, Dan M. Mungas and Charles DeCarli, UC Davis; Paola Gilsanz, Kaiser Permanente Division of Research; Rachel L. Peterson, University of Montana, Missoula; Joseph Fong and Elizabeth Rose Mayeda from UCLA; L. Barnes from Rush Medical College; M. Maria Glymour from UCSF.

Share Button

Covid origins: Chinese scientists publish long-awaited data

A peer-reviewed study connects the virus with animals sold in the market linked with early cases.

Share Button

Physicians should be on alert for group A strep as cases experience historic rise, study finds

The U.S. experienced an unprecedented number of group A streptococcal infections in children from October to December of 2022, which should alert physicians to check for the potentially deadly infectious disease as the country moves out of the pandemic, according to research published by UTHealth Houston.

The study, led by senior author Anthony R. Flores, MD, PhD, MPH, associate professor and chief of pediatric infectious diseases at McGovern Medical School at UTHealth Houston, was published this month in Clinical Infectious Diseases.

During the COVID-19 pandemic, the rate of other infectious diseases dropped due to safety measures such as social distancing and mask-wearing, according to researchers. But as those safety measures began to lift, diseases such as respiratory syncytial virus, the flu, and group A strep all experienced a resurgence in cases.

Infectious disease experts first noticed the rise in cases in the UK, now with 355 deaths of which 40 were children dying from severe group A strep infections. Researchers such as Flores then turned to what was occurring in the U.S.

“In 2020 and 2021, the overall number of infections that we saw due to group A strep were far lower than what we had seen before the pandemic,” Flores said. “When we look at the number of infections by quarter, historically, pre-pandemic cases of group A strep were pretty consistent from quarter to quarter with a little variation and more infections in the winter months. But during the last quarter of 2022, the number of infections we saw, including invasive infections, were far greater than what we’d ever seen before.”

In 2022, a total of 318 individual group A strep cases were identified in young children in Houston. Researchers looked at three group A strep disease types: invasive group A strep (iGAS), skin and soft tissue infections (SSTI), and pharyngeal, or throat, infections (PHG). The study found that group A strep strains derived from iGAS accounted for 31.4%, SSTI for 17.6%, and pharyngeal for 50.9%.

“Proportionately speaking, if we just looked at the percentage of all infections that were invasive, it was the same as we had seen in the past,” Flores said. “It wasn’t like, all of a sudden, 75% of our cases are invasive diseases. What we’re seeing is an increase in the total number of infections.”

The study also found that emm12 group A strep strains were disproportionately represented, compared to emm1 group A strep, which was the dominant emm type pre-pandemic. Emm type is a marker that differentiates different strains of group A strep.

“By looking at the molecular epidemiology, we can look at specific things about the bacteria that give us clues as to whether or not something is changing,” Flores said. “What we will be observing as we go forward is whether it will shift back to what it was pre-pandemic, and if it doesn’t, then we hope to have some work underway that is going to tell us why.”

As cases of group A strep continued to be high in the first quarter of 2023 in Houston, the disease is a cause for concern for pediatricians who see children with symptoms of group A strep.

“The reason why this is important is we’re seeing group A strep more frequently than what we have seen in the past, and therefore, if a physician has a child coming in with a sore throat or with a skin infection, we should have a high index of suspicion for group A strep,” Flores said.

Co-authors on the paper from McGovern Medical Schools department of pediatrics infectious diseases division included Aya Aboulhosn, MD; Misu A. Sanson-Iglesias, MD, PhD; Luis Alberto Vega, PhD; and Maria G. Segura, MD.

Share Button

Case for Candida auris wastewater surveillance

A rapid spike in cases of a potentially deadly, drug-resistant fungus has concerned public health officials across the nation. But a team of Southern Nevada researchers hope their new study applying wastewater surveillance can help health officials get a step ahead of this emerging global public health threat.

The Pathogen Problem

Candida auris is a fungus that can cause serious infections, particularly in patients who are immunocompromised, have pre-existing health conditions, are in long-term healthcare settings, or are undergoing treatment with invasive medical devices such as a catheter. Infection prevention and control is challenging because the fungus can grow on both dry and moist surfaces such as furniture, door handles, clothing, and medical equipment in healthcare facilities. It’s also shown resistance to many commonly used surface disinfectants and all three types of antifungal medicines. More than 1 in 3 patients with invasive C. auris infections — which can affect the blood, heart, or brain — dies.

What’s more, Nevada — one of six states with recently high burdens of C. auris — last year experienced outbreaks across multiple healthcare facilities and logged the most U.S. cases of the fungal infection. The Silver State experienced a 16-fold increase from just 24 cases in 2021 to 384 cases in 2022, according to the Centers for Disease Control and Prevention (CDC). Cases have also been reported in dozens of other countries.

What They Found

A research team led by Casey Barber, a UNLV School of Public Health doctoral student and Southern Nevada Water Authority (SNWA) graduate intern, recently published a study in the journal Environmental Science & Technology that analyzed 10 weeks’ worth of wastewater samples from seven Southern Nevada sewersheds.

The scientists detected the genetic material of C. auris in at least one untreated sewage sample from each Southern Nevada wastewater treatment facility and nearly 80% of all untreated sewage samples in the study. The sewersheds serving healthcare facilities involved in the outbreak also showed higher detection frequencies for the fungus. Researchers noted that no fungus was detected in untreated sewage samples from a wastewater treatment facility in Utah, an area with no known C. auris cases at the time. The fungus was not detected in the Las Vegas Wash, which contains treated wastewater effluent, nor in Lake Mead, indicating that there is no sign that C. auris poses a risk to drinking water.

“These results show that wastewater surveillance may help monitor the spread of C. auris and could serve as an early warning system for public health action,” Barber said.

Other Takeaways

The first human case of C. auris was reported in 2009, but it’s become more prevalent in recent years. The fungus is often spread via contaminated surfaces or skin-to-skin contact with infected individuals, including with those who are asymptomatic.

Scientists called the Southern Nevada fungus flare-up — which erupted in August 2021 and has now affected over 30 healthcare facilities — one of the largest recent outbreaks of healthcare-associated C. auris in the U.S. The research team formally launched C. auris-specific monitoring and data collection in late June 2022, as part of a larger ongoing UNLV wastewater surveillance collaboration with SNWA.

In addition to implications for large-scale C. auris detection and prevention, researchers said the study is groundbreaking in its progress towards helping establish new procedures for sewage sample processing, preparation, and analysis to look for C. auris.

Wastewater surveillance, they said, may provide a more accurate estimate of C. auris prevalence than traditional public health surveillance methods, in part because traditional methods may not accurately identify C. auris, leading to delays in targeted intervention measures. The team also anticipates that their previously established approach to monitoring COVID-19 levels in wastewater could be applied to watching for mutations and new strains of C. auris.

“Detection of Candida auris through wastewater surveillance has already prompted expanded screenings in Southern Nevada healthcare facilities in an effort to prevent larger outbreaks,” said SNWA principal research microbiologist Daniel Gerrity. “This demonstrates how wastewater surveillance can be applied to emerging public health threats beyond COVID-19.”

Share Button

New atomic-scale understanding of catalysis could unlock massive energy savings

In an advance they consider a breakthrough in computational chemistry research, University of Wisconsin-Madison chemical engineers have developed model of how catalytic reactions work at the atomic scale. This understanding could allow engineers and chemists to develop more efficient catalysts and tune industrial processes — potentially with enormous energy savings, given that 90% of the products we encounter in our lives are produced, at least partially, via catalysis.

Catalyst materials accelerate chemical reactions without undergoing changes themselves. They are critical for refining petroleum products and for manufacturing pharmaceuticals, plastics, food additives, fertilizers, green fuels, industrial chemicals and much more.

Scientists and engineers have spent decades fine-tuning catalytic reactions — yet because it’s currently impossible to directly observe those reactions at the extreme temperatures and pressures often involved in industrial-scale catalysis, they haven’t known exactly what is taking place on the nano and atomic scales. This new research helps unravel that mystery with potentially major ramifications for industry.

In fact, just three catalytic reactions — steam-methane reforming to produce hydrogen, ammonia synthesis to produce fertilizer, and methanol synthesis — use close to 10% of the world’s energy.

“If you decrease the temperatures at which you have to run these reactions by only a few degrees, there will be an enormous decrease in the energy demand that we face as humanity today,” says Manos Mavrikakis, a professor of chemical and biological engineering at UW-Madison who led the research. “By decreasing the energy needs to run all these processes, you are also decreasing their environmental footprint.”

Mavrikakis and postdoctoral researchers Lang Xu and Konstantinos G. Papanikolaou along with graduate student Lisa Je published news of their advance in the April 7, 2023 issue of the journal Science.

In their research, the UW-Madison engineers develop and use powerful modeling techniques to simulate catalytic reactions at the atomic scale. For this study, they looked at reactions involving transition metal catalysts in nanoparticle form, which include elements like platinum, palladium, rhodium, copper, nickel, and others important in industry and green energy.

According to the current rigid-surface model of catalysis, the tightly packed atoms of transition metal catalysts provide a 2D surface that chemical reactants adhere to and participate in reactions. When enough pressure and heat or electricity is applied, the bonds between atoms in the chemical reactants break, allowing the fragments to recombine into new chemical products.

“The prevailing assumption is that these metal atoms are strongly bonded to each other and simply provide ‘landing spots’ for reactants. What everybody has assumed is that metal-metal bonds remain intact during the reactions they catalyze,” says Mavrikakis. “So here, for the first time, we asked the question, ‘Could the energy to break bonds in reactants be of similar amounts to the energy needed to disrupt bonds within the catalyst?'”

According to Mavrikakis’s modeling, the answer is yes. The energy provided for many catalytic processes to take place is enough to break bonds and allow single metal atoms (known as adatoms) to pop loose and start traveling on the surface of the catalyst. These adatoms combine into clusters, which serve as sites on the catalyst where chemical reactions can take place much easier than the original rigid surface of the catalyst.

Using a set of special calculations, the team looked at industrially important interactions of eight transition metal catalysts and 18 reactants, identifying energy levels and temperatures likely to form such small metal clusters, as well as the number of atoms in each cluster, which can also dramatically affect reaction rates.

Their experimental collaborators at the University of California, Berkeley, used atomically-resolved scanning tunneling microscopy to look at carbon monoxide adsorption on nickel (111), a stable, crystalline form of nickel useful in catalysis. Their experiments confirmed models that showed various defects in the structure of the catalyst can also influence how single metal atoms pop loose, as well as how reaction sites form.

Mavrikakis says the new framework is challenging the foundation of how researchers understand catalysis and how it takes place. It may apply to other non-metal catalysts as well, which he will investigate in future work. It is also relevant to understanding other important phenomena, including corrosion and tribology, or the interaction of surfaces in motion.

“We’re revisiting some very well-established assumptions in understanding how catalysts work and, more generally, how molecules interact with solids,” Mavrikakis says.

Manos Mavrikakis is Ernest Micek Distinguished Chair, James A. Dumesic Professor, and Vilas Distinguished Achievement Professor in Chemical and Biological Engineering at the University of Wisconsin-Madison.

Other authors include Barbara A.J. Lechner of the Technical University of Munich, and Gabor A. Somorjai and Miquel Salmeron of Lawrence Berkeley National Laboratory and the University of California, Berkeley.

The authors acknowledge support from the U.S. Department of Energy, Basic Energy Sciences, Division of Chemical Sciences, Catalysis Science Program, Grant DE-FG02-05ER15731; the Office of Basic Energy Sciences, Division of Materials Sciences and Engineering, of the U.S. Department of Energy under contract no. DE-AC02-05CH11231, through the Structure and Dynamics of Materials Interfaces program (FWP KC31SM).

Mavrikakis acknowledges financial support from the Miller Institute at UC Berkeley through a Visiting Miller Professorship with the Department of Chemistry.

The team also used the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231 using NERSC award BES- ERCAP0022773.

Part of the computational work was carried out using supercomputing resources at the Center for Nanoscale Materials, a DOE Office of Science User Facility located at Argonne National Laboratory, supported by DOE contract DE-AC02-06CH11357.

Share Button

AI-Enhanced Personal Growth: My Journey with ChatGPT and Goal Planning

This year I’ve been working extensively with AI tools, especially ChatGPT and Stable Diffusion. Most recently, I used ChatGPT to conduct our quarterly goal planning reviews in Conscious Growth Club. So this is the first time our members received the AI’s feedback on their goals in addition to mine. I shared these reviews on a Zoom call on Tuesday.

Here are some thoughts about the personal growth aspect of working with AI tools professionally.

Working with AI Can Be Slow and Tiring

I’m sure some people approach AI like a personal content farm, so in that case it can be faster for them, especially if they’re not too particular about the output.

For me it’s the opposite because my priorities are different. I have no need to use AI to write for me since I don’t find the AI’s basic output that impressive most of the time, and I don’t find that aspect of it very interesting. I also think a lot of people don’t really want to see an Internet flooded with AI-generated material.

The way I use it – mostly for ideation work and to consider and explore many more options – is slower but also gives me the chance to increase the quality of my work in one or more dimensions. I like using AI to be smarter, not to be faster or more voluminous.

This extra AI exploration can be very mentally tiring though. I find it engaging while I’m doing it, but by the end of the day, I often feel spent. I think that’s mainly because I don’t have the long-term experience in working with AI to make these mental processes more efficient yet. I’d say I’ve reached the point of being consciously competent but not yet unconsciously competent. I still need to bring a lot of focus and concentration to this kind of work to make it productive. I do think I’m improving though.

I need to learn how the AI thinks to some extent (or how the underlying model behaves), so I can anticipate the best ways to prompt it to get closer to the results I’m seeking. That takes a lot of experimentation.

For now I’m okay with feeling like I have “AI brain” at the end of a day when I’m deeply engaging with it. I see it as a form of strength training for my mental circuits. It wouldn’t surprise me if other people experience this kind of fatigue as well, and there might be more of that on the horizon as these tools continue to evolve and we have to keep updating our mental models.

AI Brings a Fresh Perspective

One of my favorite aspects of working with AI is that it extends my mental capabilities in different directions. I can generate, consider, and explore more ideas and variations with its help. I can be way more thorough.

Often the AI will generate ideas I wouldn’t necessarily have thought of. Most are weak ideas, but those are easy to sort through. I will often have it generate 30 or more ideas along a certain line of thinking, and even though most may be shallow or obvious, I only need 1 or 2 good ones to make it worth scanning the list.

I often use AI to generate hundreds of ideas in a certain direction, and then I pick the best. Sometimes I even ask it to pick the top 5, and it does a pretty decent job of that most of the time. It’s especially good when I pick my favorites first and compare them to the AI’s favorites.

AI Can Be Very Supportive and Empathetic

I especially noticed that when doing the quarterly goal reviews, ChatGPT was good at suggesting ways to create more balanced goals, to practice self-care, and to suggest alternative goals that might be more accessible. I wrote the detailed prompts for it to do its part of the review, but I also invited it to share from its own best wisdom. From a human perspective, it looked like the AI really made an effort to help the humans improve their goals to be more achievable.

Sometimes I find the AI’s default tone a bit bland (too neutral), and I like that I can tell it to adopt a different tone to make interactions with it more lively and interesting. I may not mind the blandness if I just want to focus on the ideas, but I like that it can match my mood when I direct it to.

AI Can Suffer From Major Confirmation Bias

This is a known issue, as reported by teams that researched ChatGPT. I think of ChatGPT as being very obedient to the “yes, and” rule from improv. It has a penchant for being super agreeable, which can be fine if you want that, but this can really get in the way of doing intelligent knowledge work.

I can give ChatGPT the fuzziest and most unclear goal and have it comment on the goal’s specificity, and most of the time, it will claim that the goal is nice and specific. Even when I’m looking for constructive criticism, it has a huge bias towards being a people pleaser and not wanting to say anything remotely negative. I really had to tweak my prompts to get this aspect of the goal review process to work well, and even then I still had to sort through some drivel in its responses to extract the interesting bits.

I think it’s important to be aware of this bias when doing knowledge work because if you’re not careful, the AI can too easily agree and extend in the most agreeable and least resistant direction, even if that isn’t the most truthful or useful direction. I find that telling it to be surprising, divergent, or non-obvious helps to nudge it out of mirror mode. Another tip is to ask it to predict the negative consequences of an idea, and compare those to its default generations.

Working with AI Shows Great Promise

I see a lot of promise in working with AI tools, especially GPT-4. I hope they remain available and continue to evolve and that the downsides in how people use them don’t overwhelm the positive benefits.

I especially like that working with these tools is a growth experience for me creatively. It greatly extends the variety of what I can explore, and I’m keen to keep finding more ways to flow that into the service side of my work, like I did with the recent quarterly reviews in CGC.

I’m still using ChatGPT to help me co-create the new Engage course. That’s been slow-going since it wasn’t obvious to me how to best leverage ChatGPT for this kind of experience. I’m gradually figuring it out though. I anticipate launching Engage this month. My intention is to share the first few lessons of the course for free via my blog, so people can try it out and then decide if they want to enroll in the full course. If you want to be notified when Engage launches, be sure you’re subscribed to the newsletter.

We’ll also be doing our once-a-year invitation week for new members to join Conscious Growth Club in the last week of this month. We’ll be starting CGC Year 7 together on May 1st. I want to create an even better offer for CGC for Year 7, so I’m using ChatGPT to help me explore new features and benefits to include. I’ve already been hearing from readers who are eager to join CGC this year, so you only have a few more weeks till we open. In combination with the Engage course, I want to make CGC Year 7 our most engaging ever. 😀

Share Button

Covid jabs for under fives in at-risk groups

Jabs will be offered from mid-June, after government vaccine experts made the recommendation.

Share Button

Love for Dame Deborah James breathtaking, says husband

The late campaigner’s family vow to do all they can to prevent cancer deaths, as fund raises £11.3m.

Share Button

Air pollution may increase risk for dementia

Exposure to fine particulate air pollutants (PM2.5) may increase the risk of developing dementia, according to a new meta-analysis from Harvard T.H. Chan School of Public Health.

“This is a big step in providing actionable data for regulatory agencies and clinicians in terms of making sense of the state of the literature on this hugely important health topic. The results can be used by organizations like the Environmental Protection Agency, which is currently considering strengthening limits on PM2.5 exposure,” said lead author Marc Weisskopf, Cecil K. and Philip Drinker Professor of Environmental Epidemiology and Physiology. “Our findings support the public health importance of such a measure.”

The study is the first systematic review and meta-analysis to use the new Risk of Bias In Non-Randomized Studies of Exposure (ROBINS-E) tool, which addresses bias in environmental studies in greater detail than other assessment approaches. It also is the first to include newer studies that used “active case ascertainment,” a method that involved screening of entire study populations followed by in-person evaluation for dementia among individuals who did not have dementia at baseline.

The study will be published online April 5, 2023, in The BMJ.

More than 57 million people worldwide are currently living with dementia, and estimates suggest that number will increase to 153 million by 2050. Up to 40% of these cases are thought to be linked to potentially modifiable risk factors, such as exposure to air pollutants.

Weisskopf and his co-authors, Elissa Wilker, researcher in the Harvard Chan-NIEHS Center for Environmental Health, and Marwa Osman, a doctoral student in the Biological Science in Public Health program, scanned more than 2,000 studies and identified 51 that evaluated an association between ambient air pollution and clinical dementia, all published within the last 10 years. Those studies were assessed for bias using ROBINS-E, and 16 of them met the criteria for the meta-analysis. The majority of the research was about PM2.5, with nitrogen dioxide and nitrogen oxide being the next most common pollutants studied. Of the studies used in the meta-analysis, nine used active case ascertainment.

The researchers found consistent evidence of an association between PM2.5 and dementia, even when annual exposure was less than the current EPA annual standard of 12 micrograms per cubic meter of air (μg/m3). In particular, among the studies using active case ascertainment, the researchers found a 17% increase in risk for developing dementia for every 2 μg/m3 increase in average annual exposure to PM2.5. They also found evidence suggesting associations between dementia and nitrogen oxide (5% increase in risk for every 10 μg/m3 increase in annual exposure) and nitrogen dioxide (2% increase in risk for every 10 μg/m3 increase in annual exposure), though the data was more limited.

The researchers noted that air pollution’s estimated association with risk of dementia is smaller than that of other risk factors, such as education and smoking. However, because of the number of people exposed to air pollution, the population-level health implications could be substantial.

“Given the massive numbers of dementia cases, identifying actionable modifiable risk factors to reduce the burden of disease would have tremendous personal and societal impact,” Weisskopf said. “Exposure to PM2.5 and other air pollutants is modifiable to some extent by personal behaviors — but more importantly through regulation.”

Funding for the study came from Biogen and from National Institutes of Health grants P30 ES000002 and T32 HL007118.

Share Button

Healthy lifestyle associated with reduced mortality risk in childhood cancer survivors

A report from the Childhood Cancer Survivor Study (CCSS) provides strong evidence of the importance of a healthy lifestyle for adults who were treated for cancer as children. The study is the first to find that the specific primary causes of death in long term survivors are many of the same leading causes of death in the U.S. population, often occurring at younger than expected ages. It also found that adult survivors of childhood cancer experience four times the risk of late mortality as the general population, even 40 years after diagnosis. However, the study contains reason for hope: survivors without certain modifiable lifestyle and cardiovascular risk factors had a lower risk of death, suggesting survivors may be able to improve their odds. For example, survivors maintaining a healthy lifestyle had a 20% lower risk of mortality than those following an unhealthy lifestyle. The findings were published today in The Lancet.

Empowering survivors with the numbers

Despite the finding of excess mortality in survivors, the investigators found that patients’ health behaviors had an impact on their risk. Maintaining a healthy lifestyle (defined as having a healthy weight, not drinking more than moderate amount of alcohol, not smoking and exercising at or above the intensity recommended by the Centers for Disease Control guidelines) was associated with a 20% reduction in the risk of mortality, compared to those who did not.

“These findings provide important evidence that the high-risk for mortality that this population faces may be able to be reduced through changes in their health behaviors,” said senior author Greg Armstrong, M.D., M.S.C.E., St. Jude Department of Epidemiology and Cancer Control chair. “This is important because our goal is to extend the lifespan of survivors and to improve their healthspan as well.”

In addition to lifestyle, several major risk factors for heart disease and related issues were associated with mortality risk. Survivors with hypertension or diabetes had a significantly higher mortality rate than survivors without those conditions. However, these conditions are modifiable — patients can improve or prevent them, and physicians can provide treatments effective against these diseases.

“Much research has demonstrated that survivors are vulnerable to early onset of chronic disease and mortality,” said co-author Melissa Hudson, M.D., St. Jude Cancer Survivorship Division director. “The study highlights the importance of encouraging survivors to practice healthy behaviors and maintain good control of cardiovascular disease risk factors to improve their healthspan and lifespan.”

Excess mortality and cause of death in survivors

In addition to the importance of potentially modifiable risk factors, this report is the first to detail that the specific primary causes of death in long term survivors are similar to the leading causes of death in the U.S. population, occurring earlier in survivors.

“We identified that long-term survivors of childhood cancer are experiencing a large number of deaths in excess of what would be expected for the general, aging population,” said the first and corresponding author Stephanie Dixon, M.D., MPH, St. Jude Department of Oncology. “We were the first to find that decades after treatment, these excess deaths are predominantly due to the same leading causes of death as in the general population, including second cancers, heart disease, cerebrovascular disease/stroke, chronic liver and kidney disease and infectious causes of death, experienced at a younger age and higher rate, in childhood cancer survivors,” Dixon said.

Treatments for childhood cancers have improved to the point where over 85% of U.S. patients are effectively cured of their primary tumor after frontline treatment. As more patients survive their childhood cancer, there is a growing population of adult survivors. By comparing the CCSS cohort to the public, the researchers found that decades after treatment survivors still experience four times the expected risk of death.

The largest cancer survivor cohort feeds discovery

The researchers were able to understand the problems affecting survivors using detailed health data from thousands of CCSS participants. The CCSS is the largest cohort of cancer survivors in North America, representing an estimated 20% of all childhood cancer survivors in that region. The scientists were able to take this vast swath of data to statistically isolate variables affecting survivor mortality. The group showed that even when common confounders, such as sociodemographic features, were controlled for, the gap in mortality between survivors and the general public persisted, but so did the protective effects of a healthy life.

“What was most exciting to see was that, independent of prior treatment exposures and sociodemographic factors, a healthy lifestyle and absence of hypertension or diabetes were each associated with a reduced risk of health-related mortality,” Dixon said. “This suggests that while continued efforts to reduce treatment intensity while maintaining (or improving) 5-year survival are needed, future research should also focus on interventions for modifiable lifestyle and cardiovascular risk factors which may need to be specifically tailored to survivors with the goal of reducing chronic disease development and extending the lifespan of survivors of childhood cancer.”

Intensive treatments continue to tax childhood cancer survivors

Patients treated with more intensive therapies continued to experience higher mortality than other survivors. Much research has focused on minimizing the harms of therapy, but many survivors in the CCSS were treated before improved techniques were widely available. This study showed that physicians and researchers need to consider interventions that can decrease risk for the vulnerable population of survivors that were treated with aggressive therapies in their youth.

“The Childhood Cancer Survivors Study continues to provide important insights into the long-term outcomes of the growing number of children successfully treated for cancer,” said co-author Leslie Robison, emeritus St. Jude Department of Epidemiology and Cancer Control chair. “The findings from the current analysis further emphasize the need to expand our efforts to reduce acute, chronic and late-onset toxicities of treatment, particularly those toxicities that can directly or indirectly result in premature mortality.”

Share Button