BACKGROUND: Studies on the association between vegetarian diets and nonalcoholic fatty liver disease (NAFLD) are limited and have inconsistent results. This study aims to explore the association between vegetarian diets and NAFLD and compare the stage of fibrosis between vegetarians and nonvegetarians in a US representative sample.
METHODS: Cross-sectional data from 23,130 participants aged ≥20 years were obtained from the National Health and Nutrition Examination Survey, 2005-2018. Vegetarian status was classified based on two 24-h dietary recalls. We examined the association between vegetarian diets and the risk of NAFLD using the propensity score weighting method.
RESULTS: Vegetarian diets were significantly associated with decreases in hepatic steatosis index (HSI), US fatty liver index and nonalcoholic fatty liver disease fibrosis score with mean differences of -2.70 (95% confidence interval [CI]: -3.69, -1.70), -3.03 (95% CI: -7.15, -0.91) and -0.12 (95% CI: -0.26, -0.01), respectively. While modelling the risk of NAFLD, we estimated that vegetarians were 53% less likely to have NAFLD assessed by HSI (odds ratios [OR]: 0.47; 95% CI: 0.34, 0.65). The effect of vegetarian diets was higher among individuals with lower waist circumferences (OR: 0.20) than among those with higher waist circumferences (OR: 0.53, p interaction ${p}_{\\text{interaction}}\\,$ = 0.004). However, the association was largely attenuated after adjusting for body mass index and diabetes status. No significant association was identified between vegetarian diets and advanced fibrosis.
CONCLUSIONS: Vegetarian diets were associated with a lower prevalence of NAFLD among US adults, and the association appeared to be stronger in people with lower waist circumferences. Further studies are warranted to replicate our findings.

Comparative safety of direct oral anticoagulants vs. warfarin in patients undergoing tooth extraction remains unclear. We compared the incidence of post-extraction bleeding between patients taking warfarin and those taking direct oral anticoagulants (DOACs) using administrative claims data.
We identified outpatients on anticoagulant therapy who underwent permanent tooth extraction between 2015 and 2020 and categorized them into the warfarin and DOAC groups based on medication prescribed within six months prior to tooth extraction. We used the overlap propensity score weighting method to balance the baseline characteristics between the groups and compared the incidence of post-extraction bleeding within seven days after tooth extraction.
Among 5253 eligible patients, those in the DOAC group (n = 3696) were older and less frequently prescribed antiplatelets than those in the warfarin group (n = 1557). The distribution of tooth extraction type and number of teeth extracted in a single procedure did not differ between the groups. The unadjusted incidences of post-extraction bleeding in the warfarin and DOAC groups were 35 (2.2 %) and 71 (1.9 %), respectively. Moreover, the overlap weighting analysis showed that the adjusted odds ratio of post-extraction bleeding in the DOAC group in comparison with that in the warfarin group was 0.84 (95 % confidence interval, 0.54-1.31).
The incidence of post-extraction bleeding in patients taking DOACs was comparable to that in patients taking warfarin. The findings suggest that dentists and physicians should exercise the same degree of caution when extracting teeth in patients on DOACs and those on warfarin in terms of post-extraction bleeding.

UNASSIGNED: Anemia is a worldwide common condition during pregnancy, conferring a number of health risks to mothers. However, very little is known about the association between severity of anemia and severe maternal outcomes. This study aimed to assess the association between severity of anemia during pregnancy and the risk of severe maternal outcomes.
UNASSIGNED: This retrospective cohort study was based on data from China\'s National Maternal Near Miss Surveillance System for the period 2017-2018, which included 18 hospitals in southern China. Pregnant women admitted for delivery were divided into 4 groups based on severity of anemia during pregnancy: no anemia, mild anemia, moderate anemia, and severe anemia groups. Severe maternal outcomes were a composite of life-threatening conditions (ie, organ dysfunction) as defined by the WHO criteria, occurring at any time after admission until discharge or death. Modified Poisson regression analyses and propensity score-weighted regression analyses were used to estimate the relative risks (RRs) and 95% confidence intervals (CIs) of severe maternal outcomes among women with anemia of varying severity during pregnancy.
UNASSIGNED: The incidence of severe maternal outcomes was 0.3% (417/138,556) in total, and the rates were 0.1% (85/99,755), 0.2% (30/18,502), 1.2% (234/19,697) and 11.3% (68/602) in no anemia, mild anemia, moderate anemia and severe anemia group, respectively. Compared with no anemia, the adjusted RR for severe maternal outcomes was 4.19 (95% CI, 3.20-5.50) in moderate anemia group and 22.12 (95% CI, 15.43-31.69) in severe anemia group; the weighted RR was 1.01 (95% CI, 1.01-1.01) in moderate anemia group and 1.11 (95% CI, 1.07-1.14) in severe anemia group.
UNASSIGNED: Moderate to severe anemia during pregnancy was independently associated with an increased risk of severe maternal outcomes. Maternal health care providers and pregnant women themselves should give more attention to the prevention and treatment of anemia during pregnancy, especially moderate to severe anemia.

OBJECTIVE: To investigate the effect of sensory impairment on quality of life in older adults and to assess the role of physical function as a mediator of the effect of the sensory impairment on quality of life.
METHODS: A cross-sectional study.
METHODS: Older adults aged ≥65 years (N = 600) were recruited from January 2019 to May 2020. Hearing and visual function were measured with pure-tone audiometry and Snellen visual acuity tests, respectively. Quality of life (World Health Organization Quality of Life Scale Brief Version), physical function (Multidimensional Functional Assessment Questionnaire) and sociodemographic characteristics were reported by participants using interviewer-administered questionnaires. Propensity score weighting analysis was conducted based on generalized propensity scores via multinominal logistic regression for age, gender, education, income, and comorbidities. The difference in the quality of life was tested by applying a one-way analysis of variance. Multiple mediation analysis was conducted to explore the direct, indirect, and total effects of sensory impairment on quality of life through physical function.
RESULTS: After propensity score weighting adjustment, when compared with participants with no sensory impairment, participants with dual sensory impairment had the worst quality of life, followed by visual impairment and then hearing impairment. Physical function statistically significantly mediated the effect of hearing impairment, visual impairment and dual sensory impairment on quality of life in older adults.
CONCLUSIONS: Our findings demonstrated that the negative effect of the sensory impairment on quality of life in older adults was mediated through physical function.
CONCLUSIONS: The convergence of an increasing ageing population and the prevalence of sensory impairment presents a significant global health burden. This study demonstrated that physical function was a mediator of quality of life in older adults. Designing appropriate physical activity interventions for older adults with sensory impairment could serve to enhance physio-psychological health and improve quality of life.

Studying the relationship between unemployment and health raises many methodological challenges. In the current study, the aim was to evaluate the sensitivity of estimates based on different ways of measuring unemployment and the choice of statistical model.
The Northern Swedish cohort was used, and two follow-up surveys thereof from 1995 and 2007, as well as register data about unemployment. Self-reported current unemployment, self-reported accumulated unemployment and register-based accumulated unemployment were used to measure unemployment and its effect on self-reported health was evaluated. Analyses were conducted with G-computation, logistic regression and three estimators for the inverse probability weighting propensity scores, and 11 potentially confounding variables were part of the analyses. Results were presented with absolute differences in the proportion with poor self-reported health between unemployed and employed individuals, except when logistic regression was used alone.
Of the initial 1083 pupils in the cohort, our analyses vary between 488-693 individuals defined as employed and 61-214 individuals defined as unemployed. In the analyses, the deviation was large between the unemployment measures, with a difference of at least 2.5% in effect size when unemployed was compared with employed for the self-reported and register-based unemployment modes. The choice of statistical method only had a small influence on effect estimates and the deviation was in most cases lower than 1%. When models were compared based on the choice of potential confounders in the analytical model, the deviations were rarely above 0.6% when comparing models with 4 and 11 potential confounders. Our variable for health selection was the only one that strongly affected estimates when it was not part of the statistical model.
How unemployment is measured is highly important when the relationship between unemployment and health is estimated. However, misspecifications of the statistical model or choice of analytical method might not matter much for estimates except for the inclusion of a variable measuring health status before becoming unemployed. Our results can guide researchers when analysing similar research questions. Model diagnostics is commonly lacking in publications, but they remain very important for validation of analyses.

OBJECTIVE: To examine whether housing instability-inclusive of eviction, homelessness, moving in with others, moving for cost reasons, or frequent moves-is associated with mental health among renters in the aftermath of the Great Recession of 2007-09.
METHODS: A panel survey study.
METHODS: We used data from the Michigan Recession and Recovery Study (2009-10, 2011 and 2013), a population-representative sample of working-aged adults, and logistic regression with propensity score weights to examine the association between housing instability over a year and a half and anxiety attack or depression symptoms at follow-up.
RESULTS: Respondents with any housing instability were 14 percentage points more likely to have had a recent anxiety attack, and those who had moved for cost reasons were 16 percentage points more likely. Respondents who experienced eviction were significantly more likely to meet criteria for major or minor depression at follow-up, by 13 percentage points.
CONCLUSIONS: Prior evidence of an association between housing instability and mental health is supported by these findings, which are robust to potential confounders, including financial and life shocks, housing quality, and neighborhood poverty concentration.

The Centers for Medicare and Medicaid Services Severe Sepsis and Septic Shock Management Bundle (SEP-1) assesses antibiotic administration, lactate measurement, and blood culture collection within 3 h of severe sepsis onset. The impact of the SEP-1 3-hour bundle among patients with severe sepsis is not extensively described. This investigation aimed to describe the impact of 3-hour bundle compliance on 28-day in-hospital mortality in patients with severe sepsis.
This was a retrospective, propensity adjusted, nested case-control study assessing the impact of compliance with a 3-hour sepsis bundle among patients with severe sepsis.
This study was conducted at a large, academic, tertiary care medical center in Detroit, Michigan from July 1, 2017 to December 31, 2019.
Cases were defined as those suffering 28-day in-hospital mortality. Controls were defined as those surviving at or discharged by 28 days. Patients were separated based on 3-hour bundle compliance or noncompliance. Nested and overall cohorts were assessed. Severe sepsis time zero was manually validated. Patients with shock, requiring vasopressors within 8 h of time zero, or those not meeting SEP-1 inclusion criteria were excluded.
The primary outcome was the propensity adjusted odds of 28-day in-hospital mortality among 3-hour bundle compliant versus noncompliant patients. Secondary outcomes included mortality for individual bundle element compliance, progression to septic shock, and predictors of mortality according to logistic regression.
A total of 325 compliant and 325 noncompliant patients were included. The median Sequential Organ Failure Assessment (SOFA) score was three in each group. There was no difference in propensity adjusted odds of mortality among those compliant versus noncompliant with the 3-hour bundle (odds-ratio [OR] 1.039; 95% CI: 0.721-1.497; p = 0.838) or with individual bundle elements. SOFA score and female sex were predictors of mortality.
Three-hour bundle compliance did not impact 28-day in-hospital mortality in patients with severe sepsis. Further research is needed to understand the impact of 3-hour bundle compliance on mortality in severe sepsis.

Ensuring access to pre-kindergarten (Pre-K) education remains a pressing policy issue in the United States. Prior research has shown the positive effects that Pre-K has on children\'s cognitive development. However, studies on its effects on children\'s health outcomes are scarce. This study aimed to investigate the effects of the Pre-K program on pediatric asthma. Children\'s individual data from existing research conducted in North Carolina were linked with state Medicaid claims data from 2011-2017. There were 51,408 observations (person-month unit) of 279 children enrolled in Pre-K and 333 unenrolled children. Asthma was identified using the ICD 9/10 codes. A difference-in-differences model was adopted using a panel analysis with three time periods: before, during, and after Pre-K. The explanatory variables were interaction terms between Pre-K enrollment and (a) before vs. during period and (b) during vs. after period. The results indicated that children enrolled in Pre-K had a greater risk of asthma diagnosis during Pre-K (b = 0.0145, p = 0.058). Conversely, in the post-intervention period, the enrolled children had a lower of receiving an asthma diagnosis (b = -0.0216, p = 0.002). These findings indicate that Pre-K may increase the use of asthma-related health services in the short term and decrease the service use after participants leave the program.

This paper describes Project Harmony, a Virtual Clinical Trial (VCT) funded by the National Institute on Alcohol Abuse and Alcoholism (NIAAA) to harmonize and analyze data from over 40 independent psychological, pharmacologic and/or combined pharmacological treatment studies for posttraumatic stress disorder and comorbid alcohol and other drug use disorders (PTSD/AOD). The study attends to three distinct analysis challenges: (1) variation in measurement of PTSD/AOD across studies, time, populations and reporters, (2) cross-study variation in treatment effect sizes and (3) non-randomized, cross-study variation in the classification of treatments (despite within-study randomization of treatment arms). To address these challenges, the study combines meta-analysis of individual patient data (MIPD), integrative data analysis (IDA) and propensity score weighting (PSW) to integrate raw data from these clinical trials. This protocol shows how this VCT analytic framework was used to (1) develop commensurate scale scores of PTSD and AOD severity when measures vary across studies, (2) compare the efficacy of evidence-based treatment models for PTSD/AOD, (3) test for potential mediators of treatment effects on AOD and PTSD across treatment models, and (4) explore individual- and study-level moderators to inform for whom each of the treatment models works best. The advantages of the general VCT approach are juxtaposed against the limitations of single randomized controlled trials and conventional meta-analysis.

Propensity score methods are increasingly being used in the infectious diseases literature to estimate causal effects from observational data. However, there remains a general gap in understanding among clinicians on how to critically review observational studies that have incorporated these analytic techniques.
Using a cohort of 4967 unique patients with Enterobacterales bloodstream infections, we sought to answer the question \"Does transitioning patients with gram-negative bloodstream infections from intravenous to oral therapy impact 30-day mortality?\" We conducted separate analyses using traditional multivariable logistic regression, propensity score matching, propensity score inverse probability of treatment weighting, and propensity score stratification using this clinical question as a case study to guide the reader through (1) the pros and cons of each approach, (2) the general steps of each approach, and (3) the interpretation of the results of each approach.
2161 patients met eligibility criteria with 876 (41%) transitioned to oral therapy while 1285 (59%) remained on intravenous therapy. After repeating the analysis using the 4 aforementioned methods, we found that the odds ratios were broadly similar, ranging from 0.84-0.95. However, there were some relevant differences between the interpretations of the findings of each approach.
Propensity score analysis is overall a more favorable approach than traditional regression analysis when estimating causal effects using observational data. However, as with all analytic methods using observational data, residual confounding will remain; only variables that are measured can be accounted for. Moreover, propensity score analysis does not compensate for poor study design or questionable data accuracy.