Trends in Fatal Opioid-Related Overdose in American Indian and Alaska Native Communities, 1999-2021.

INTRODUCTION: Opioid-related overdose mortality rates have increased sharply in the U.S. over the past two decades, and inequities across racial and ethnic groups have been documented. Opioid-related overdose trends among American Indian and Alaska Natives require further quantification and assessment. METHODS: Observational, U.S. population-based registry data on opioid-related overdose mortality between 1999 and 2021 were extracted in 2023 using ICD-10 codes from the U.S. Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research multiple cause of death file by race, Hispanic ethnicity, sex, and age. Segmented time series analyses were conducted to estimate opioid-related overdose mortality growth rates among the American Indian and Alaska Native population between 1999 and 2021. Analyses were performed in 2023. RESULTS: Two distinct time segments revealed significantly different opioid-related overdose mortality growth rates within the overall American Indian and Alaska Native population, from 0.36 per 100,000 (95% CI=0.32, 0.41) between 1999 and 2019 to 6.5 (95% CI=5.7, 7.31) between 2019 and 2021, with the most pronounced increase among those aged 24-44 years. Similar patterns were observed within the American Indian and Alaska Native population with Hispanic ethnicity, but the estimated growth rates were generally steeper across most age groups than across the overall American Indian and Alaska Native population. Patterns of opioid-related overdose mortality growth rates were similar between American Indian and Alaska Native females and males between 2019 and 2021. CONCLUSIONS: Sharp increases in opioid-related overdose mortality rates among American Indian and Alaska Native communities are evident by age and Hispanic ethnicity, highlighting the need for culturally sensitive fatal opioid-related overdose prevention, opioid use disorder treatment, and harm-reduction efforts. Future research should aim to understand the underlying factors contributing to these high mortality rates and employ interventions that leverage the strengths of American Indian and Alaska Native culture, including the strong sense of community.

Opioid-related mortality: Dynamic temporal and spatial trends by drug type and demographic subpopulations, Massachusetts, 2005-2021.

BACKGROUND: Fatal opioid-related overdoses (OOD) present significant public health challenges. Intuitive and replicable analytical approaches are needed to inform targeted public health responses. METHODS: We obtained fatal OOD data for 2005-2021 from the Massachusetts Registry of Vital Records and Statistics. We conducted heatmap analyses to assess trends in fatal OOD rates per 100,000 residents, visualizing rates by death year and decedent age at one-year intervals, stratifying by race/ethnicity, sex, rurality, and involved substances. We calculated Getis-Ord Gi* statistics to identify spatial clusters of OOD rates. RESULTS: Among 20,774 fatal OODs, rates were higher among males, and highly variable by race/ethnicity, age group, and rurality. While fatal OOD rates increased in urban before rural communities, rates were higher in rural communities by 2018-2019. Stimulant-related fatal OODs were elevated in 2020 and 2021. Fatal OOD rates involving fentanyl and stimulants increased precipitously and simultaneously in the non-Hispanic Black population in 2020 and 2021, with a bimodal age distribution peaking among those in their 40s and 60s. Elevated rates among 30-to-60 year old Hispanic residents were largely tied to synthetic opioids from 2015 to 2021. Spatial clusters were detected for prescription opioids, heroin, and stimulants in western Massachusetts. For synthetic opioids, hotspots became more ubiquitous across the state from 2016 to 2021, intensifying in southeastern Massachusetts. CONCLUSION: Our novel approach uncovered new time varying and spatial patterns in fatal OOD rates not previously reported. Identified shifts in fatal OOD rates by sex, age, and race/ethnicity can inform location-specific field actions targeting subpopulations at disproportionally high risk.

Babesia microti-induced fulminant sepsis in an immunocompromised host: A case report and the case-specific literature review.

Babesia microti is an obligate intra-erythrocytic parasite transmitted by infected ticks. B. microti is a eukaryote much larger than prokaryotic microbes and more similar to human hosts in their biochemistry and metabolism. Moreover, Babesia spp. possess various immune evasion mechanisms leading to persistent and sometimes life-threatening diseases in immunocompromised hosts. Chronic lymphocytic leukemia (CLL) is the most prevalent adult B-cell malignancy, and a small percentage of CLL transforms into aggressive lymphomas. CLL also causes immune dysfunction due to the over-expansion of immature and ineffective B-cells. When our patient with indolent CLL presented with anemia, pancytopenia, and splenomegaly, all his healthcare providers presumptively assumed a malignant transformation of CLL. However, these are also the signs and symptoms of babesiosis. Herein, we report a case where B. microti infection was presumed as a malignant transformation of CLL and narrowly avoided a devastating outcome. Although the patient developed fulminant sepsis, he finally received the correct diagnosis and treatment. Unfortunately, the disease recrudesced twice. Each time, it became more difficult to control the infection. We describe the clinical course of the case and discuss the case-specific literature review. This report highlights the importance of differential diagnoses ruling out infections which include babesiosis, prior to initiating the treatment of B-cell malignancy.

Machine learning-based outcome prediction and novel hypotheses generation for substance use disorder treatment.

OBJECTIVE: Substance use disorder is a critical public health issue. Discovering the synergies among factors impacting treatment program success can help governments and treatment facilities develop effective policies. In this work, we propose a novel data analytics approach using machine learning models to discover interaction effects that might be neglected by traditional hypothesis-generating approaches. MATERIALS AND METHODS: A patient-episode-level substance use treatment discharge dataset and a Federal Bureau of Investigation crime dataset were joined using core-based statistical area codes. Random forests, artificial neural networks, and extreme gradient boosting were applied with a nested cross-validation methodology. Interaction effects were identified based on the machine learning model with the best performance. These interaction effects were analyzed and tested using traditional logistic regression models on unseen data. RESULTS: In predicting patient completion of a treatment program, extreme gradient boosting performed the best with an area under the curve of 89.31%. Based on our procedure, 73 interaction effects were identified. Among these, 14 were tested using traditional logistic regression models where 12 were statistically significant (P<.05). CONCLUSIONS: We identified new interaction effects among the length of stay, frequency of substance use, changes in self-help group attendance frequency, and other factors. This work provides insights into the interactions between factors impacting treatment completion. Further traditional statistical analysis can be employed by practitioners and policy makers to test the effects discovered by our novel machine learning approach.

Gut microbiotas and immune checkpoint inhibitor therapy response: a causal or coincidental relationship?

As the largest immune organ, human gut microbiome could influence the efficacy of immune checkpoint inhibitor therapy (ICI). However, identifying contributory microbes from over 35,000 species is virtually impossible and the identified microbes are not consistent among studies. The reason for the disparity may be that the microbes found in feces are markers of other factors that link immune response and microbiotas. Notably, gut microbiome is influenced by stool consistency, diet and other lifestyle factors. Therefore, the ICI and microbiotas relationship must be adjusted for potential confounders and analyzed longitudinally. Moreover, a recent study where 11 low-abundance commensal bacteria induced interferon-γ-producing CD8 T cells, challenges the validity of the abundance-oriented microbiotas investigations. This study also confirmed the hierarchy in immunogenic roles among microbiotas. Fecal transplantation trials in germ-free mice provided "the proof of principle" that germ-free mice reproduce the donor's microbiome and corresponding ICI efficacy. However, species-specific biological differences prevent direct extrapolation between the results in murine and human models. Fecal transplantation or supplementation with microbes found in ICI responders requires caution due to potential adverse events.

Oral and Systemic Effects of Xylitol Consumption.

Recent results of randomized trials testing the efficacy of xylitol in caries prevention have been conflicting. This narrative review reveals the sources of discrepancy. The following databases were searched for the terms "xylitol" or "artificial sweeteners" restricted to the English language: PubMed, Web of Science, Evidenced-Based Medicine, Scopus, and the Cochrane database. In a separate search, the terms "dental caries" or "cariogenicity" or "glucosyltransferase" or "low glycemic" or "low insulinemic" or "dysbiosis" or "gut microbiome" were used and then combined. In section I, findings regarding the role of xylitol in dental caries prevention, the appropriateness of research methods, and the causes for potential biases are summarized. In section II, the systemic effects of xylitol on gut microbiota as well as low-glycemic/insulinogenic systemic effects are evaluated and summarized. The substitution of a carbonyl group with an alcohol radical in xylitol hinders its absorption and slowly releases sugar into the bloodstream. This quality of xylitol is beneficial for diabetic patients to maintain a constant glucose level. Although this quality of xylitol has been proven in in vitro and animal studies, it has yet to be proven in humans. Paradoxically, recent animal studies reported hyperglycemia and intestinal dysbiosis with artificial sweetener consumption. Upon careful inspection of evidence, it was revealed that these reports may be due to misinterpretation of original references or flaws in study methodology. Any systemic benefits of xylitol intake must be weighed in consideration with the well-established adverse gastrointestinal consequences. The contribution of xylitol to gut dysbiosis that may affect systemic immunity warrants further research.

Is there a greater maternal than paternal influence on offspring adiposity in India?

Previous research has provided conflicting evidence regarding fetal roots of adiposity in India. To compare the strength of association between maternal and paternal body mass indexes (BMIs) corrected for height with offspring BMI in India to examine the potential for intrauterine mechanisms to influence offspring adiposity in India, we analysed a sample of 16,528 mother-father-offspring trios from the 2005 to 2006 Indian National Family Health Survey. Children were aged 0-59 months with parents aged 15-49 years (mothers) and 15-54 years (fathers). Linear and logistic regression models, specified in multiple ways, were used to estimate associations between parental BMI* (BMI redefined by power term x (kg/m(x)) to be independent from height), and child BMI/top decile of child BMI. Higher values of maternal BMI and paternal BMI were associated with higher values of offspring BMI. In comparing the effects of maternal BMI and paternal BMI, however, no consistent differences were found in the strength of these parental influences on offspring BMI. In the fully adjusted linear model, the standardised coefficient was 0.131 (95% CI 0.110 to 0.154) for maternal BMI* and 0.079 (95% CI 0.056 to 0.103) for paternal BMI*; with evidence of heterogeneity between maternal-offspring and paternal-offspring associations (p=0.005). This was not robust in the unstandardised regression (ß=0.056, 95% CI 0.044 to 0.067 for maternal BMI and ß=0.039, 95% CI 0.025 to 0.053 for paternal BMI, p=0.093). Mixed results indicate that compared with paternal BMI, maternal BMI did not have a consistently stronger influence on offspring BMI in India.

What is passing through toll gate 4: lipids or infection?

In this issue of the journal, Zhou and colleagues reported that hyperlipidemia might play a role in the expression of pro-inflammatory cytokines such as TNF-α and IL-1ß which are associated with type 2 diabetes (T2D) and periodontitis. Not only hyperlipidemia but many obesity-related conditions such as hyperglycemia, insulin resistance, and metabolic syndrome are perceived as "threats" or as a "danger" by the innate immune system and express these cytokines. T2D is one of these conditions that elicit metabolic inflammation (meta-inflammation) and the hallmark of meta-inflammation is low grade inflammation. In addition, T2D and periodontitis are strongly correlated to each other and to innate immunity. This creates a confounding relationship. The dental research community is now required to acknowledge the concept that infection is not the only trigger for innate immune activation. The review by Zhou et al. may be the first step in the right direction to establish the orthogonal contribution of oral infection independent of meta-inflammation.

Adequacy of lymph node examination in colorectal surgery: contribution of the hospital versus the surgeon.

BACKGROUND: Examination of at least 12 lymph nodes (LNs) in the staging of colon cancer (CC) was recommended by the National Comprehensive Cancer Network in 2000; however, rates of an adequate examination remain low. This study compares the impact of the hospital contextual variance against that of the operating surgeon on delivery of an adequate LN examination. STUDY DESIGN: Retrospective analysis of California Cancer Registry data for all CC operations (2001-2006). Hierarchical models predicted the adequacy of LN examination as a function of patient, surgeon, and hospital characteristics. Models were created using penalized quasi-likelihood approximation with second order Taylor linearization as implemented in MLwiN 2.15. RESULTS: A total of 25,606 resections involving 3376 surgeons operating in 346 hospitals were analyzed. Half of cases had an adequate examination. Hierarchical models showed the median odds of an adequate examination associated with the hospital context [(MORhosp 2.05; 95% confidence interval, 1.9-2.2) was much higher than that associated with the surgeon (MORsurg 1.34; 95% confidence interval, 1.2-1.4)]. Hospital characteristics teaching and high volume predicted higher odds of an adequate examination. There was no association with hospital revenue. CONCLUSIONS: Approximately half of patients undergoing surgery for CC received an adequate LN examination. Hospital contextual factors had a stronger association with receipt of an adequate examination than surgeon factors. Our results suggest that quality improvement initiatives and incentives should be targeted at the hospital level to achieve the highest impact. Furthermore, we have identified nonteaching and low volume settings as rational targets for these efforts.

Social disparities, communication inequalities, and HIV/AIDS-related knowledge and attitudes in India.

Promoting awareness, increasing knowledge, and eliminating stigma is important for stopping the spread of HIV/AIDS. The relation of social determinants and communication inequalities with HIV/AIDS-related cognitive processes has not been studied previously in India. Gender-stratified Poisson regression models of 123,459 women and 73,908 men in the 2005-2006 National Family Health Survey were used to calculate relative risk estimates and 95% confidence intervals for these associations. Results indicated that there are significant inequalities in mass media use among different social classes. Education and wealth are strongly and positively associated with awareness of HIV/AIDS and knowledge about prevention and transmission of AIDS and negatively associated with HIV/AIDS-related stigma. These associations attenuated when use of various mass media types were added to the models with television showing the strongest effect. Mass media may be helpful in reducing social disparities in HIV/AIDS outcomes.

Isolated and skeptical: social engagement and trust in information sources among smokers.

Our study compared indicators of social engagement and trust among current, former, and never smokers. Multinomial regression analyses of data from the 2005 U.S. Health Information National Trends Survey (n = 5586) were conducted to identify independent associations between social engagement, trust in health information sources, and smoking status. Never smokers (odds ratio (OR) = 2.08) and former smokers (OR = 2.48) were significantly more likely to belong to community organizations than current smokers. Never (OR = 4.59) and former smokers (OR = 1.96) were more likely than current smokers to attend religious services. Never smokers (OR = 1.38) were significantly more likely than current smokers to use the Internet. Former smokers (OR = 1.41) were more likely than current smokers to be married. Compared to current smokers, never smokers were significantly more likely to trust health care professionals (OR = 1.52) and less likely to trust the Internet (OR=0.59) for health information. Current smokers are less socially engaged and less trusting of information resources than non-smokers.

Race, ethnicity, language, social class, and health communication inequalities: a nationally-representative cross-sectional study.

BACKGROUND: While mass media communications can be an important source of health information, there are substantial social disparities in health knowledge that may be related to media use. The purpose of this study is to investigate how the use of cancer-related health communications is patterned by race, ethnicity, language, and social class. METHODOLOGY/PRINCIPAL FINDINGS: In a nationally-representative cross-sectional telephone survey, 5,187 U.S. adults provided information about demographic characteristics, cancer information seeking, and attention to and trust in health information from television, radio, newspaper, magazines, and the Internet. Cancer information seeking was lowest among Spanish-speaking Hispanics (odds ratio: 0.42; 95% confidence interval: 0.28-0.63) compared to non-Hispanic whites. Spanish-speaking Hispanics were more likely than non-Hispanic whites to pay attention to (odds ratio: 3.10; 95% confidence interval: 2.07-4.66) and trust (odds ratio: 2.61; 95% confidence interval: 1.53-4.47) health messages from the radio. Non-Hispanic blacks were more likely than non-Hispanic whites to pay attention to (odds ratio: 2.39; 95% confidence interval: 1.88-3.04) and trust (odds ratio: 2.16; 95% confidence interval: 1.61-2.90) health messages on television. Those who were college graduates tended to pay more attention to health information from newspapers (odds ratio: 1.98; 95% confidence interval: 1.42-2.75), magazines (odds ratio: 1.86; 95% confidence interval: 1.32-2.60), and the Internet (odds ratio: 4.74; 95% confidence interval: 2.70-8.31) and had less trust in cancer-related health information from television (odds ratio: 0.44; 95% confidence interval: 0.32-0.62) and radio (odds ratio: 0.54; 95% confidence interval: 0.34-0.86) compared to those who were not high school graduates. CONCLUSIONS/SIGNIFICANCE: Health media use is patterned by race, ethnicity, language and social class. Providing greater access to and enhancing the quality of health media by taking into account factors associated with social determinants may contribute to addressing social disparities in health.

Parental BMI and childhood undernutrition in India: an assessment of intrauterine influence.

OBJECTIVE: The objective of this study was to examine the influence of parental BMI on childhood undernutrition in India. METHODS: The study population was a nationally representative cross-sectional sample of singleton children (n = 15976) who were aged 0 to 59 months from the 2005-2006 Indian National Family Health Survey. Information was obtained by a face-to-face interview with the mother with a 94.5% response rate. Modified Poisson regression models that account for multistage survey design and sampling weights were applied to estimate the associations between parental BMI and childhood undernutrition. The outcome measures were child underweight, stunting, and wasting; parental BMI was the primary exposure. RESULTS: In mutually adjusted models, an increase in 1 unit of maternal BMI was associated with a lower relative risk (RR) for childhood undernutrition (underweight RR: 0.957 [95% confidence interval [CI]: 0.947-0.967]; stunting RR: 0.985 [95% CI: 0.977-0.993]; wasting RR: 0. 941 [95% CI: 0.926-0.958]). The association between paternal BMI and childhood undernutrition was similar to that observed for maternal BMI (underweight RR: 0.961 [95% CI: 0.951-0.971]; stunting RR: 0.986 [95% CI: 0.978-0.995]; wasting RR: 0.965 [95% CI: 0.947-0.982]). CONCLUSIONS: Similarity in the association between paternal/maternal BMI and childhood undernutrition suggests that intergenerational associations in nutritional status are not driven by maternal intrauterine influences.

Patterning in birthweight in India: analysis of maternal recall and health card data.

BACKGROUND: National data on birthweight from birth certificates or medical records are not available in India. The third Indian National Family Health Survey included data on birthweight of children obtained from health cards and maternal recall. This study aims to describe the population that these data represent and compares the birthweight obtained from health cards with maternal recall data in terms of its socioeconomic patterning and as a risk factor for childhood growth failure. METHODOLOGY/PRINCIPAL FINDINGS: The analytic sample consisted of children aged 0 to 59 months with birthweight data obtained from health cards (n = 3227) and maternal recall (n = 16,787). The difference between the card sample and the maternal recall sample in the distribution across household wealth, parental education, caste, religion, gender, and urban residence was compared using multilevel models. We also assessed the ability of birthweight to predict growth failure in infancy and childhood in the two groups. The survey contains birthweight data from a majority of household wealth categories (>5% in every category for recall), both genders, all age groups, all caste groups, all religion groups, and urban and rural dwellers. However, children from the lowest quintile of household wealth were under-represented (4.73% in card and 8.62% in recall samples). Comparison of data across health cards and maternal recall revealed similar social patterning of low birthweight and ability of birthweight to predict growth failure later in life. Children were less likely to be born with low birthweight if they had mothers with over 12 years of education compared to 1-5 years of education with relative risk (RR) of 0.79 (95% confidence interval [CI]: 0.52, 1.2) in the card sample and 0.70 (95% CI: 0.59, 0.84) in the recall sample. A 100 gram difference in a child's birthweight was associated with a decreased likelihood of underweight in both the card (RR: 0.95; 95% CI: 0.94, 0.96) and recall (RR: 0.96; 95% CI: 0.96, 0.97) samples. CONCLUSIONS: Our results suggest that in the absence of other sources, the data on birthweight in the third Indian National Family Health Survey is valuable for epidemiologic research.

Movies and TV influence tobacco use in India: findings from a national survey.

BACKGROUND: Exposure to mass media may impact the use of tobacco, a major source of illness and death in India. The objective is to test the association of self-reported tobacco smoking and chewing with frequency of use of four types of mass media: newspapers, radio, television, and movies. METHODOLOGY/PRINCIPAL FINDINGS: We analyzed data from a sex-stratified nationally-representative cross-sectional survey of 123,768 women and 74,068 men in India. All models controlled for wealth, education, caste, occupation, urbanicity, religion, marital status, and age. In fully-adjusted models, monthly cinema attendance is associated with increased smoking among women (relative risk [RR]: 1.55; 95% confidence interval [CI]: 1.04-2.31) and men (RR: 1.17; 95% CI: 1.12-1.23) and increased tobacco chewing among men (RR: 1.15; 95% CI: 1.11-1.20). Daily television and radio use is associated with higher likelihood of tobacco chewing among men and women, while daily newspaper use is related to lower likelihood of tobacco chewing among women. CONCLUSION/SIGNIFICANCE: In India, exposure to visual mass media may contribute to increased tobacco consumption in men and women, while newspaper use may suppress the use of tobacco chewing in women. Future studies should investigate the role that different types of media content and media play in influencing other health behaviors.

Media attention and public perceptions of cancer and eastern equine encephalitis.

Previous research has found that members of the public have a skewed sense of health risk. The purpose of this research was to investigate how mass media use influences perceptions of threat from cancer and eastern equine encephalitis (EEE). Investigators performed a media content analysis of 253 health-related articles from 11 Massachusetts newspapers, then used logistic regression to analyze responses to a health communication survey of 613 Massachusetts adults. A greater proportion of cancer articles compared to those about EEE mentioned progress in combating the disease (61.0% vs. 16.2%, P < 0.0001), while a greater proportion of EEE articles mentioned new incidents of illness (35.4%, vs. 4.6% P < 0.0001). Over half of all respondents perceived EEE as an equal or greater threat than cancer. Paying a lot of attention to health media was related to higher odds of perceiving EEE as a threat (OR 2.14; 95% CI 1.03-4.45), and of perceiving EEE as a threat compared to cancer (OR 2.18; 95% CI 1.24-3.84). Media treatment of health stories that emphasize the novelty and unpredictability of EEE compared to cancer may lead to distorted perceptions of threat among news consumers.