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BACKGROUND: In 2019, the EAT-Lancet Commission on healthy diets from sustainable food systems proposed a Planetary Health Diet that seeks to optimise both chronic disease prevention as well as global environmental health. In this study, we aimed to examine the association between a dietary index based on the Planetary Health Diet and risk of cardiovascular disease. METHODS: We included women from the Nurses' Health Study (NHS I; 1986-2016), women from the Nurses' Health Study II (NHS II; 1991-2017), and men from the Health Professionals Follow-up Study (HPFS; 1986-2016) who were free of cardiovascular disease, cancer, and diabetes at baseline. Dietary data were collected every 4 years using a validated, semi-quantitative food frequency questionnaire. The Planetary Health Diet Index (PHDI) was based on 15 food groups: whole grains, vegetables, fruit, fish and shellfish, nuts and seeds, non-soy legumes, soy foods, and unsaturated oils were scored positively; starchy vegetables, dairy, red or processed meat, poultry, eggs, saturated fats and trans fat, and added sugar received negative scores. Scores for each food group were summed to get a total score of 0-140. Higher scores indicated greater adherence to the PHDI. We used Cox proportional hazards regression with time-varying covariates to evaluate the association between PHDI score, cumulatively averaged, and incident cardiovascular disease (defined as fatal and non-fatal myocardial infarction and stroke), adjusting for demographic, health, and lifestyle confounders in all participants with available data. Cohort-specific estimates were combined using inverse variance-weighted fixed effects meta-analyses. FINDINGS: Of the 62 919 women included from the NHS I, 88 535 women included from the NHS II, and 42 164 men included from the HPFS, a total of 9831 cases of cardiovascular disease were confirmed over 4 541 980 person-years of follow-up. Mean PHDI scores ranged from 60·7 (SD 5·1) to 90·6 (5·3) in the lowest versus highest quintile in NHS I, 55·6 (4·9) to 86·3 (6·3) in NHS II, and 59·6 (5·9) to 94 (5·9) in HPFS. In the multivariable-adjusted meta-analysis, participants in the highest quintile of PHDI score had a lower risk of incident cardiovascular disease than did those in the lowest quintile (hazard ratio [HR] 0·83 [95% CI 0·78-0·89]; p-trend <0·0001). When we examined cardiovascular disease subtypes, the highest quintile of PHDI was also associated with a lower risk of coronary heart disease (HR 0·81 [95% CI 0·74-0·88]; p-trend <0·0001) and total stroke (HR 0·86 [0·78-0·95]; p-trend=0·0004) compared with the lowest quintile. INTERPRETATION: We found that adherence to the Planetary Health Diet, designed to be a more environmentally sustainable dietary pattern, was associated with a lower risk of cardiovascular disease in three large cohorts of men and women in the USA. These observations support the Planetary Health Diet as a promising strategy to promote both human and planetary health. FUNDING: National Institutes of Health.

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Background: Systemic immune-inflammation index (SII) is a novel comprehensive inflammatory marker. Inflammation is associated with impaired lung function. We aimed to explore the possible relationship between SII and lung function to examine the potential of SII in predicting lung function decline. Methods: A cross-sectional survey was conducted using the data of the NHANES from 2007 to 2012. Multiple linear regression models were used to analyze the linear relationship between SII and pulmonary functions. Sensitivity analyses, subgroup analyses, and interaction tests were used to examine the robustness of this relationship across populations. Fitted smooth curves and threshold effect analysis were used to describe the nonlinear relationships. Results: A total of 10,125 patients were included in this study. After adjusting for all covariates, multiple linear regression model analysis showed that high Log2-SII level was significantly associated with decreased FVC(ß, -23.4061; 95% CI, -42.2805- -4.5317), FEV1(ß, -46.7730; 95% CI, -63.3371- -30.2089), FEV1%(ß, -0.7923; 95% CI, -1.1635- -0.4211), FEV1/FVC(ß, -0.6366; 95% CI, -0.8328- -0.4404) and PEF(ß, -121.4468; 95% CI,-164.1939- -78.6998). The negative correlation between Log2-SII and pulmonary function indexes remained stable in trend test and stratified analysis. Inverted U-shaped relationships between Log2-SII and FVC, FEV1, FEV1%, and PEF were observed, while a negative linear correlation existed between FEV1/FVC and Log2-SII. The cutoff values of the nonlinear relationship between Log2-SII and FVC, FEV1, FEV1%, PEF were 8.3736, 8.0688, 8.3745, and 8.5255, respectively. When SII exceeded the critical value, the lung function decreased significantly. Conclusion: This study found a close correlation between SII and pulmonary function indicators. This study investigated the SII threshold when lung functions began to decline in the overall population. SII may become a promising serological indicator for predicting lung function decline. However, prospective studies were needed further to establish the causal relationship between these two factors.

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Background: The correlation between various insulin resistance surrogates and frailty remains under investigation in the scientific community. Methods: Data from NHANES (1999-2018) were used. We utilized weighted binary logistic regression, trend tests, RCS analysis, and subgroup analysis to comprehensively assess the link between METS-IR, HOMA-IR, and TyG, and frailty risk. Results: The results revealed a significant positive association between high levels of METS-IR, HOMA-IR, and TyG with the risk of frailty in all models. Notably, in model 4, the highest quintile of METS-IR showed the strongest link (OR: 2.960, 95% CI: 2.219-3.949), with HOMA-IR (OR: 2.522, 95% CI: 1.927-3.301) following closely behind. Trend tests revealed a positive trend between METS-IR, HOMA-IR, and TyG with the risk of frailty (P for trend < 0.05). RCS analysis showed a linear relationship between METS-IR and the risk of frailty (P for nonlinearity > 0.05). In contrast, HOMA-IR and TyG exhibited a U-shaped nonlinear relationship (P for nonlinearity < 0.05). Conclusion: The research identified a linear association between METS-IR and frailty risk, whereas HOMA-IR and TyG displayed a U-shaped, nonlinear relationship pattern with the risk of frailty. Among the varying levels examined, the linkage between METS-IR and frailty was most pronounced in the top quintile.

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BACKGROUND: Cocaine-one of the most frequently abused illicit drugs among persons living with HIV [people living with HIV (PLWH)]-slows the decline of viral production after antiretroviral therapy and is associated with higher HIV viral load, more rapid HIV progression, and increased mortality. SETTING: We examined the impact of cocaine use on the CD4+ T-cell HIV latent reservoir (HLR) in virally suppressed PLWH participating in a national, longitudinal cohort study of the natural and treated history of HIV in the United States. METHODS: CD4+ T-cell genomic DNA from 434 women of diverse ancestry (ie, 75% Black, 14% Hispanic, 12% White) who self-reported cocaine use (ie, 160 cocaine users, 59 prior users, 215 non-users) was analyzed using the Intact Proviral HIV DNA Assay, measuring intact provirus per 106 CD4+ T cells. FINDINGS: HIV latent reservoir size differed by cocaine use (ie, median [interquartile range]: 72 [14-193] for never users, 165 [63-387] for prior users, 184 [28-502] for current users), which was statistically significantly larger in both prior (P = 0.023) and current (P = 0.001) cocaine users compared with never users. CONCLUSIONS: Cocaine use may contribute to a larger replication competent HLR in CD4+ T cells among virologically suppressed women living with HIV. Our findings are important because women are underrepresented in HIV reservoir studies and in studies of the impact of cocaine use on outcomes among PLWH.

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The majority of Black women with hypertension in the United States have smartphones or tablets and use social media, and many use wearable activity trackers and health or wellness apps, digital tools that can be used to support lifestyle changes and medication adherence.

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INTRODUCTION: Vehicles play an important role in pedestrian injury risk in crashes. This study examined the association between vehicle front-end geometry and the risk of fatal pedestrian injuries in motor vehicle crashes. METHOD: A total of 17,897 police-reported crashes involving a single passenger vehicle and a single pedestrian in seven states were used in the analysis. Front-end profile parameters of vehicles (2,958 vehicle makes, series, and model years) involved in these crashes were measured from vehicle profile photos, including hood leading edge height, bumper lead angle, hood length, hood angle, and windshield angle. We defined a front-end-shape indicator based on the hood leading edge height and bumper lead angle. Logistic regression analysis evaluated the effects of these parameters on the risk that a pedestrian was fatally injured in a single-vehicle crash. RESULTS: Vehicles with tall and blunt, tall and sloped, and medium-height and blunt front ends were associated with significant increases of 43.6%, 45.4%, and 25.6% in pedestrian fatality risk, respectively, when compared with low and sloped front ends. There was a significant 25.1% increase in the risk if a hood was relatively flat as defined in this study. A relatively long hood and a relatively large windshield angle were associated with 5.9% and 10.7% increases in the risk, respectively, but the increases were not significant. CONCLUSIONS: Vehicle front-end profiles that were significantly associated with increased pedestrian fatal injury risk were identified. PRACTICAL APPLICATIONS: Automakers can make vehicles more pedestrian friendly by designing vehicle front ends that are lower and more sloped. The National Highway Traffic Safety Administration (NHTSA) can consider evaluations that account for the growing hood heights and blunt front ends of the vehicle fleet in the New Car Assessment Program or regulation.

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BACKGROUND: Differences in social and environmental factors contribute to disparities in fatal injury rates. This study assessed the relationship between social vulnerability and homicide and suicide rates across United States counties. METHODS: County-level age-adjusted homicide and suicide rates for 2016-2020 were linked with data from the Centers for Disease Control and Prevention's 2020 Social Vulnerability Index (SVI), a dataset identifying socially vulnerable communities. We conducted negative binomial regressions to examine the association between SVI and homicide and suicide rates, overall and by Census region/division. We mapped county-level data for SVI and homicide and suicide rates in bivariate choropleth maps. RESULTS: Overall SVI was associated with homicide rates across U.S. counties. While no association was found for overall SVI and suicide rates, Socioeconomic Status and Racial & Ethnic Minority Status domains were associated. The geographic distribution of SVI and homicide and suicide rates varied spatially; notably, counties in the South had the greatest levels of social vulnerability and greatest homicide rates. CONCLUSIONS: Our findings demonstrate county-level social vulnerability is associated with homicide rates but may be more nuanced for suicide rates. A modified SVI for injury should include additional social and structural determinants and exclude variables not applicable to injuries. PRACTICAL APPLICATIONS: This study combines the SVI with homicide and suicide data, enabling researchers to examine related social and environmental factors. Modifying the SVI to include relevant predictors could improve injury prevention strategies by prioritizing efforts in areas with high social vulnerability.

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INTRODUCTION: This study presents a comprehensive analysis of wrong-way driving (WWD) fatal crashes on divided highways in the United States over a 17-year period, from 2004 to 2020. The study aims to uncover trends, distribution patterns, and factors contributing to these fatal crashes. Data were extracted from the National Highway Traffic Safety Administration (NHTSA) Fatality Analysis Reporting System (FARS) database. METHODS: Descriptive statistical analysis was used to reveal general crash characteristics, while trends were updated through an examination of the annual occurrence of WWD fatal crashes. The study further employed binomial logistic regression to compute odds ratios, identifying significant contributing factors. These factors encompassed temporal variables, crash characteristics, and driver characteristics. The odds ratios shed light on the relationship between WWD fatal crashes and other fatal crashes, allowing for the identification of key elements that drive WWD incidents. RESULTS: On average, 302 WWD fatal crashes occurred annually, resulting in 6,953 fatalities during the study period. The frequency of WWD fatal crashes remained relatively stable, with a slight increase over time. According to the model, variables include day of week, time of day, month, lighting conditions, weather conditions, roadway profile, collision type, passenger presence, driver age, gender, license status, and driver injury severity were found to significantly impact the occurrence of WWD fatal crashes. One significant finding is that road profiles like sag curves or hillcrests can increase the likelihood of WWD fatal crashes. PRACTICAL APPLICATION: The findings of this study contribute to an improved understanding of WWD fatal crashes on divided highways, thereby aiding in the development of strategies for prevention and mitigation.

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INTRODUCTION: Road death risk is often characterized as deaths per volume of traffic in geographic regions, the denominator in miles or kilometers supposedly indicative of the magnitude of risk exposure. This paper reports an examination of the differences in the predictive value of factors hypothesized to influence traffic volume and road death risk. METHOD: The association of 11 risk factors in U.S. counties during the first 7 months of 2020 was examined for consistency of predictions of road death and traffic volume measured by cell phone and vehicle location data. The study employed least squares regression for traffic volume and Poisson regression for deaths with the population as the offset variable. RESULTS: The directions of the regression coefficients for traffic volume and odds of road deaths per population were opposite from one another for 9 of the 11 variables in the analysis of vehicle occupant deaths. Only the coefficients for maximum daily temperature and Saturday travel were in the same direction. The confidence intervals of three risk ratios for pedestrian deaths indicated low reliability but most of the predictor variables were opposite in association with traffic volume and odds of death. Although traffic volume plunged in the first weeks of the pandemic, the results for the months before and during the COVID-19 pandemic were similar. PRACTICAL APPLICATIONS: Traffic volume is an inverse risk factor for road deaths at the local level, likely the result of lower speeds on congested roads. Without the application of countermeasures aimed at reducing speed and other risk factors, the reduction of road congestion is likely to increase deaths.

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The community population based studies on the relationship between obstructive sleep apnea and liver injury are limited. The study aimed to clarify the association between sleep apnea (SA) and liver injury by using the data in The National Health and Nutrition Examination Survey. SA was assessed by the sleep questionnaire and liver injury was evaluated by liver function test, hepatic steatosis index, and fibrosis-4. Weighted multivariable linear regression was performed to examine the association between SA and liver injury. Subgroup analyses and sensitivity analysis were also conducted. A total of 19,362 eligible participants were included in the study. After adjusting for confounders, the presence of SA was significantly associated with increased levels of lnALT, lnAST/alanine aminotransferase, lnGGT, and lnHSI (all P values < .05), but not with lnFIB-4 (P > .05). There is a dose-response relationship between the severity of SA and increased levels of lnALT, lnGGT, and decreased levels of lnAST/alanine aminotransferase (test for trend, all P values < .05). Subgroup analyses revealed that the positive association between SA and liver function, liver steatosis showed a tendency to exist in nonobese, younger, non-Hispanic Black, and male populations. Sensitive analysis showed the relationship between SA and liver injury was stable. Self-reported SA was independently associated with elevated liver enzymes and liver steatosis among US population. The association was more pronounced among nonobese, younger, non-Hispanic Black, and male populations.

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PURPOSE: This retrospective real-world study compared overall survival (OS) between patients with BRCA wild-type (BRCAwt) recurrent epithelial ovarian cancer (OC) who received niraparib second-line maintenance (2LM) versus active surveillance (AS) using target trial emulation, cloning, inverse probability of censoring weighting (IPCW) methodology to minimize immortal time bias. METHODS: Eligible patients from a United States-based, deidentified, electronic health record-derived database were diagnosed with epithelial OC (January 1, 2011-May 31, 2021), were BRCAwt, and completed second-line (2L) therapy (January 1, 2017-March 2, 2022). Patient data were cloned at index (2L last treatment date), assigned to niraparib 2LM and AS cohorts, and censored when treatment deviated from clone assignment. Follow-up was measured from index to earliest of study end (May 31, 2022), last activity, or death. Median OS (mOS) and hazard ratios were estimated from stabilized IPCW Kaplan-Meier curves and Cox regression models. RESULTS: Overall, 199 patients received niraparib 2LM, and 707 had their care managed with AS. Key characteristics were balanced across cohorts after cloning and stabilized IPCW. Median follow-up was 15.6- and 9.3-months pre-cloning. IPCW mOS was 24.1 months (95% CI: 20.9-29.5) and 18.4 months (95% CI: 15.1-22.8) in niraparib 2LM and AS cohorts, respectively (hazard ratio, 0.77; 95% CI: 0.66-0.89). CONCLUSIONS: This real-world study provides supportive evidence of an OS benefit for patients with BRCAwt recurrent OC who received 2LM niraparib monotherapy compared with those whose care was managed with AS. The analytic strategies implemented were useful in minimizing immortal time bias and measured confounding.

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BACKGROUND: Cannabis legalization has made cannabis accessible via dispensaries which sell a wide variety of cannabis products. Importantly, the various routes of administration are associated with differing consequences. As such, it's crucial to understand the prevalence and correlates of different cannabis products. Unfortunately, research has yet to examine the prevalence of certain forms of cannabis use, and little is known about the prevalence of using multiple forms of cannabis, and whether individual-level factors are associated with using different forms of cannabis. METHODS: The current study uses data from the 2022 National Survey on Drug Use and Health (NSDUH) to examine the prevalence and correlates of eight different types of cannabis use (smoking, vaping, eating/drinking, dabbing, drops/lozenges, topical, pills, and other), as well as a cannabis variety scale, on samples of adult and adolescent cannabis users. RESULTS: The results suggest that certain routes of administration are more prevalent than others and that these patterns are fairly consistent between adults and adolescents. Similarly, for both adults and adolescents, the majority of users used more than one cannabis product. Lastly, several individual-level factors are associated with the various forms of cannabis use and many of these associations vary by the route of administration examined. CONCLUSIONS: The results of the current study demonstrate that there are differences among cannabis users. If we can develop an understanding of who uses the various forms of cannabis, we could identify the users of the more dangerous forms and provide these individuals with more resources.

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Surprisingly, the 1977 "Russian flu" H1N1 pandemic influenza virus was genetically indistinguishable from strains that had circulated decades earlier but had gone extinct in 1957. This essay puts forward the most plausible chronology to explain the reemergence of the 1977 H1N1 pandemic virus: (1) in January-February 1976, a self-limited small outbreak of a swine H1N1 influenza virus occurred among Army personnel at Fort Dix, New Jersey; (2) in March 1976, the US launched a nationwide H1N1 swine influenza vaccine program; (3) other countries then also launched their own H1N1 R&D efforts; (4) a new H1N1 outbreak, genetically unrelated to the Fort Dix swine virus but indistinguishable from previously extinct H1N1 viruses, was detected early in 1977 in China; (5) the leading Chinese influenza virologist later disclosed that the Chinese military had conducted large H1N1 vaccine R&D studies in 1976. It is likely that the resurrected H1N1 influenza viruses were laboratory-stored strains that were unfrozen and studied as part of the emergency response to a perceived epidemic threat, and that accidentally escaped. The fear of a possible H1N1 pandemic was the critical factor that gave rise to the actual H1N1 pandemic, resulting in an avoidable "self-fulfilling prophecy pandemic."

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BACKGROUND: Mucormycosis is a rare but critical infection. Due to its rarity, there is scarce evidence about the longitudinal changes in the epidemiology of mucormycosis in the US. OBJECTIVES: We investigated the longitudinal epidemiology, detailed clinical characteristics, treatment and outcomes of patients with mucormycosis within the US Veterans Health Administration (VHA) over 20-year period. PATIENTS/METHODS: All adult patients who were admitted to an acute-care hospital with a diagnosis of mucormycosis within the VHA from January 2003 to December 2022. RESULTS: Our study included 201 patients from 68 hospitals. Incidence rates of mucormycosis increased from 1.9 per 100,000 hospitalisations in 2003 to 3.3 per 100,000 hospitalisations in 2022, with a peak incidence at 5.9 per 100,000 hospitalisations in 2021, when the Delta wave of COVID-19 hit the US. Rhino-orbital (37.3%) and pulmonary mucormycosis (36.8%) were the most common types of infection. Diabetes mellitus (59.1%) and leukaemia (28.9%) were most common comorbidities predisposing to mucormycosis. Use of posaconazole or isavuconazole increased over time. The 90-day and 1-year mortalities were 35.3% and 49.8%, respectively. The mortality was lower in more recent years (2013-2017, 2018-2022) compared to earlier years (2003-2007). Age ≥65 (adjusted odds ratio [aOR]: 3.47, 95% CI 1.59-7.40), leukaemia as a comorbidity (aOR: 2.66, 95% CI 1.22-5.89) and central nervous system infection (aOR: 10.59, 95% CI 2.81-44.57) were significantly associated with higher 90-day mortality. CONCLUSIONS: Our longitudinal cohort study suggests the increasing incidence rates but lower mortality of mucormycosis over this 20-year period.

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Measles is a viral illness considered eliminated in the United States; however, outbreaks still occur even in this modern era where vaccines are readily available for every child under government-sponsored financing programs. The most recent measles outbreak was reported in March 2024 in Chicago, Illinois. Many of these patients were children younger than age 5 years with unvaccinated or unknown vaccine status, and this outbreak was associated with a migrant shelter. Measles bears a resemblance to other exanthemic diseases of childhood. In populations where there is high vaccine coverage, measles is less likely to be in the differential diagnosis for most physicians; however, cases of vaccine failure have been described, and populations have risk factors for developing complications associated with measles. Therefore, this quick review aims to describe an illustrative case, followed by epidemiology, clinical manifestations, complications, diagnosis, and vaccines associated with measles. By the end of this article, clinicians should be able to recognize a potential measles case, select the most appropriate test to confirm the diagnosis, and thus, prevent the spreading of this highly contagious disease. [Pediatr Ann. 2024;53(9):e345-e350.].

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PURPOSE: To compare outcomes of radical (RN) and partial nephrectomy (PN) in Sarcomatoid Renal Cell Carcinoma (sRCC) utilizing a large national cohort. As RN is the reference standard for localized RCC with clinically aggressive features, PN in sRCC has been seldom studied. METHODS: We performed a retrospective cohort analysis of the National Cancer Database from 2004 to 2019 for patients who underwent PN and RN for sRCC (T1-T3N0-N1M0). We performed multivariable analyses (MVA) to determine factors associated with PN and all-cause mortality (ACM), and Kaplan-Meier Analysis (KMA) for overall survival (OS) in Charlson 0 patients who underwent PN vs. RN according to clinical stage. RESULTS: The cohort consisted of 5,265 patients [RN 4,582 (87.0%)/PN 683 (13.0%)]. Increased odds of receiving PN was associated with papillary RCC (OR = 1.69, p = 0.015); inversely with increasing age (OR = 0.99, p = 0.004), cT2-cT3 (OR = 0.23, p < 0.001), and cN1 (OR = 0.2, p < 0.001). Worsened ACM was associated with positive margins (HR = 1.59, p < 0.001), male (HR = 1.1, p = 0.044), Charlson [Formula: see text]2 (HR = 1.47, p < 0.001), cT2-cT3 (HR 1.17-1.39, p < 0.001-0.035), and cN1 (HR = 1.59, p < 0.001). Improved ACM was noted with PN (HR = 0.64, p < 0.001), increasing household income (HR = 0.77-0.79, p < 0.001), and private insurance (HR = 0.80, p = 0.018). KMA showed PN had improved 5-year OS compared to RN in cT1 (86.5% vs. 63.2%, p < 0.001), and cT3 (61.0% vs. 44.0% p < 0.001), but not cT2 (p = 0.67). CONCLUSION: In select patients, PN with negative margins may not compromise outcomes and may provide benefit when indicated. Patients with private insurance and highest income experienced improved survival suggesting disparity in care.

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