Favorable Antiviral Effect of Metformin on Severe Acute Respiratory Syndrome Coronavirus 2 Viral Load in a Randomized, Placebo-Controlled Clinical Trial of Coronavirus Disease 2019.

BACKGROUND: Metformin has antiviral activity against RNA viruses including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The mechanism appears to be suppression of protein translation via targeting the host mechanistic target of rapamycin pathway. In the COVID-OUT randomized trial for outpatient coronavirus disease 2019 (COVID-19), metformin reduced the odds of hospitalizations/death through 28 days by 58%, of emergency department visits/hospitalizations/death through 14 days by 42%, and of long COVID through 10 months by 42%. METHODS: COVID-OUT was a 2 × 3 randomized, placebo-controlled, double-blind trial that assessed metformin, fluvoxamine, and ivermectin; 999 participants self-collected anterior nasal swabs on day 1 (n = 945), day 5 (n = 871), and day 10 (n = 775). Viral load was quantified using reverse-transcription quantitative polymerase chain reaction. RESULTS: The mean SARS-CoV-2 viral load was reduced 3.6-fold with metformin relative to placebo (-0.56 log10 copies/mL; 95% confidence interval [CI], -1.05 to -.06; P = .027). Those who received metformin were less likely to have a detectable viral load than placebo at day 5 or day 10 (odds ratio [OR], 0.72; 95% CI, .55 to .94). Viral rebound, defined as a higher viral load at day 10 than day 5, was less frequent with metformin (3.28%) than placebo (5.95%; OR, 0.68; 95% CI, .36 to 1.29). The metformin effect was consistent across subgroups and increased over time. Neither ivermectin nor fluvoxamine showed effect over placebo. CONCLUSIONS: In this randomized, placebo-controlled trial of outpatient treatment of SARS-CoV-2, metformin significantly reduced SARS-CoV-2 viral load, which may explain the clinical benefits in this trial. Metformin is pleiotropic with other actions that are relevant to COVID-19 pathophysiology. CLINICAL TRIALS REGISTRATION: NCT04510194.

Characterizing the spectrum of bladder health and lower urinary tract symptoms among men: Results from the CARDIA study.

OBJECTIVES: To operationalize a new definition for bladder health, we examined the distribution and impact of lower urinary tract symptoms (LUTS), along with risk factors, among men in the Coronary Artery Risk Development in Young Adults (CARDIA) study. METHODS: LUTS were defined by American Urologic Association Symptom Index (AUASI) scores and impact on quality of life (QoL). Separate questions assessed urinary incontinence (UI) and postvoid dribbling. We performed cluster analyses using AUASI scores, with and without urine incontinence and postvoid dribbling, and impact collected in 2010-11. We performed analyses to evaluate sociodemographic and cardiovascular risk factors between clusters. RESULTS: Among CARDIA men (mean age: 50.0, SD = 3.6; range: 42-56 years) with complete LUTS data (n = 929), we identified and compared four clusters: men who reported no or very mild symptoms and no impact on well-being (bladder health, n = 696, 75%), men with moderate symptoms and moderate impact on well-being (moderate symptoms/impact, n = 84, 9%), men with high symptoms and high impact on well-being (severe symptoms/impact, n = 117, 13%), and a separate group that reported moderate symptoms and UI with a high impact on well-being (UI + moderate symptoms/severe impact, n = 32, 3%). Exploration of the groupings showed a large percentage of postvoid dribbling across groups (overall 69%). Sociodemographic and cardiovascular risk factors were not associated with symptom/impact groups. CONCLUSIONS: Bladder health clustered into four categories. A majority of middle-aged men in the community showed no or mild bladder symptoms without impact on QoL. Postvoid dribbling is pervasive but did not cluster with a specific LUTS or impact category.

Financial strain across 25 years and women's bladder health: a life course perspective.

BACKGROUND: A small number of cross-sectional studies have found that financial insecurity-a social determinant of health-is associated with lower urinary tract symptoms. OBJECTIVE: This study aimed to examine (1) whether women in the Coronary Artery Risk Development in Young Adult Study with higher levels of financial strain, assessed at 7 time points across 25 years beginning in 1985-1986, were more likely to report lower urinary tract symptoms and impact after the 2010-2011 financial strain assessment and (2) whether healthcare access and comorbidities mediated potential associations. STUDY DESIGN: This prospective cohort study recruited Black and White participants aged 18 to 30 years at baseline (1985-1986) from the populations of 4 US cities. The analytical sample was composed of women with complete data for analyses involving financial strain trajectories across 7 assessments (n=841) and mediation tests of data collected at 4 assessments (n=886). The outcome variable was previously developed through a cluster analysis of urinary incontinence severity, urinary incontinence impact, other lower urinary tract symptoms severity, and their impact in 2012-2013, which yielded 4 lower urinary tract symptoms and impact cluster categories: women with no symptom or very mild symptoms and no impact vs women with mild, moderate, or severe symptoms and impact. Financial strain was defined as finding it "very hard," "hard," or "somewhat hard" (vs "not very hard") to pay for the very basics, such as food, heating, and medical care. Using proportional odds logistic regression, cluster categories were regressed on the financial strain trajectory group, adjusting for age, race, education, and parity. For mediation analyses, separate financial strain variables (difficulty paying for the very basics, such as food and heating, and difficulty paying for medical care) were created by combining 1995-1996 and 2000-2001 values. Two healthcare access variables (difficulty receiving care and underutilization of care) and a single comorbidity index (smoking, physical inactivity, body mass index, hypertension, diabetes mellitus, and depressive symptoms) were created by combining 2005-2006 and 2010-2011 values. Regression analyses and structural equation modeling were used to test whether healthcare access and comorbidities mediated associations between financial strain and lower urinary tract symptoms and impact cluster categories. RESULTS: In comparison to women who were consistently not financially strained, women who were consistently strained (odds ratio, 2.10; 95% confidence interval, 1.13-3.91), shifted into being strained (odds ratio, 2.00; 95% confidence interval, 1.29-3.10), or experienced >1 shift in strain (odds ratio, 1.99; 95% confidence interval, 1.46-2.71) had roughly twice the odds of reporting greater lower urinary tract symptoms and impact. Underutilization of healthcare and comorbidities mediated the association between difficulty paying for medical care and lower urinary tract symptoms and impact. In the structural equation model, difficulty paying for medical care and underutilization of care were associated (ß=.31; P<.01), as was underutilization of care and greater lower urinary tract symptoms and impact (ß=.09; P<.01). Moreover, difficulty paying for medical care and the comorbidity index were associated (ß=.34; P<.01), as was the comorbidity index and greater lower urinary tract symptoms and impact (ß=.24; P<.01). Collectively, these mediation pathways eliminated a direct association between difficulty paying for medical care and lower urinary tract symptoms and impact. CONCLUSION: Underutilization of healthcare and comorbidities explained an association between financial strain (difficulty paying for medical care) and lower urinary tract symptoms and impact. Research is needed to confirm the findings and examine other mechanisms that may further explain the association. Accumulated evidence may inform future policies and practices.

Causally interpretable meta-analysis: Clearly defined causal effects and two case studies.

Meta-analysis is commonly used to combine results from multiple clinical trials, but traditional meta-analysis methods do not refer explicitly to a population of individuals to whom the results apply and it is not clear how to use their results to assess a treatment's effect for a population of interest. We describe recently-introduced causally interpretable meta-analysis methods and apply their treatment effect estimators to two individual-participant data sets. These estimators transport estimated treatment effects from studies in the meta-analysis to a specified target population using the individuals' potentially effect-modifying covariates. We consider different regression and weighting methods within this approach and compare the results to traditional aggregated-data meta-analysis methods. In our applications, certain versions of the causally interpretable methods performed somewhat better than the traditional methods, but the latter generally did well. The causally interpretable methods offer the most promise when covariates modify treatment effects and our results suggest that traditional methods work well when there is little effect heterogeneity. The causally interpretable approach gives meta-analysis an appealing theoretical framework by relating an estimator directly to a specific population and lays a solid foundation for future developments.

Neurosurgery residency match for international medical graduates in the United States.

OBJECTIVE: Training of international medical graduates (IMGs) offers opportunities for the US neurosurgery community to engage the global talent pool and impact national and international healthcare. Here, the authors analyzed the time trend of IMGs matching into US neurosurgery programs and identified potential opportunities for enhancing IMG engagement. METHODS: The authors analyzed the National Resident Matching Program (NRMP) match results, NRMP program director (PD) surveys, and applicant surveys from 2013 to 2022. Regression methods were used to analyze time trends. RESULTS: Between 2013 and 2022, the number of US neurosurgery residency positions increased by 17.6% (from 204 to 240). During this period, the percentage of IMGs matching into neurosurgery increased from 3.5% to 7%, translating into a 6.8% increase in the likelihood of a successful IMG match per year (95% CI 0.3%-13.8%, p = 0.042). The likelihoods of a successful match for US MDs and IMGs scoring > 260 on the USMLE Step 1 were > 90% and approximately 55%, respectively. In PD surveys, approximately 90% of PDs indicated that they seldom/never interview or rank IMGs. In terms of factors that influenced the PD decision for interviewing/ranking, IMGs are disadvantaged in several categories, including the ability to secure an audition elective/rotation, and proper letters of recommendation, as well as the influence of the culture on the preconceived perception of poor interpersonal skills. CONCLUSIONS: The number of IMGs matching successfully in neurosurgery has increased marginally during the past decade. The authors outline the challenges that IMGs encounter in this process and suggest strategies for considerations of IMG training in NRMP-associated institutions.

Job strain, occupation, and bladder health among women.

OBJECTIVES: Lower urinary tract symptoms (LUTS) are common among employed women. An underexplored topic is whether characteristics of women's occupations may influence LUTS. The present study examined whether job strain and its individual components (psychological demands, decision latitude) were associated with greater LUTS and their impact and whether, compared to managerial and professional occupations, occupations characterized by manual labor, sales, service, nursing, and teaching were associated with greater LUTS and their impact. METHODS: Coronary Artery Risk Development in Young Adults cohort study data were analyzed. Job strain and occupation were assessed in 1987-88 and 1995-96. In 2012-13, LUTS and their impact were assessed. LUTS/impact category (a composite variable ranging from bladder health to mild, moderate, and severe LUTS/impact) was regressed on job strain and occupation in separate analyses, adjusting for age, race, parity, education, and financial hardship (n = 1006). RESULTS: Job strain and its individual components were not associated with LUTS/impact. In comparison to managerial and professional occupations, service occupations in 1987-88 and 1995-96 were both associated with greater odds of LUTS/impact in proportional odds logistic regression analyses. Employment as a nurse, health assistant, or health aide in 1995-96 was associated with greater odds of any LUTS/impact versus bladder health. Support positions in 1987-88 and sales positions in 1995-96 were associated with greater odds of moderate or severe LUTS/impact versus bladder health or mild LUTS/impact. CONCLUSIONS: Future research should examine characteristics of workplaces that may promote or constrain bladder health (e.g., time and autonomy to void when desired, infrastructure to void).

Discrimination and bladder health among women in the CARDIA cohort study: Life course and intersectionality perspectives.

OBJECTIVE: This study examines whether discriminatory experiences are associated with lower urinary tract symptoms (LUTS) and their impact among 972 women in the Coronary Artery Risk Development in Young Adults (CARDIA) cohort study, which recruited participants from 4 cities in the United States. METHOD: Exposure to discrimination was assessed 3 times (1992-93, 2000-01, 2010-11) and averaged across assessments. Participants separately reported whether they experienced discrimination on the basis of their gender, race or color, and socioeconomic position or social class. For each social identity, discrimination was assessed in 6-7 settings (e.g., when getting a job, medical care, or housing). At different time points, women who reported discriminatory experiences for a given social identity were asked how frequently the discrimination occurred and how stressful experience(s) were. Following the 2010-11 assessment, data on LUTS and their impact were collected. Women were classified into bladder health versus mild, moderate, or severe symptoms/impact clusters. RESULTS: More Black than White women reported discriminatory experiences across all social identities and most settings. Perceived stress of discriminatory experiences did not differ between Black and White women. In analyses stratified by race and social identity, White women reported LUTS/impact with discriminatory experiences in more settings, more frequent discriminatory experiences across settings, and each additional social identity for which discrimination was experienced. Black women reported LUTS/impact with more frequent discriminatory experiences across settings. For Black women, greater perceived stress of both gender and race discrimination were associated with LUTS/impact. For White women, only greater perceived stress of race discrimination was associated with LUTS/impact. CONCLUSIONS: This is one of the first studies to examine discrimination in relation to LUTS/impact. Additional research is needed to better understand differences in how discriminatory experiences based on potentially intersecting identities may be related to bladder health among women.

An intersectional framework for counterfactual fairness in risk prediction.

Along with the increasing availability of health data has come the rise of data-driven models to inform decision making and policy. These models have the potential to benefit both patients and health care providers but can also exacerbate health inequities. Existing "algorithmic fairness" methods for measuring and correcting model bias fall short of what is needed for health policy in two key ways. First, methods typically focus on a single grouping along which discrimination may occur rather than considering multiple, intersecting groups. Second, in clinical applications, risk prediction is typically used to guide treatment, creating distinct statistical issues that invalidate most existing techniques. We present novel unfairness metrics that address both challenges. We also develop a complete framework of estimation and inference tools for our metrics, including the unfairness value ("u-value"), used to determine the relative extremity of unfairness, and standard errors and confidence intervals employing an alternative to the standard bootstrap. We demonstrate application of our framework to a COVID-19 risk prediction model deployed in a major Midwestern health system.

Metformin reduces SARS-CoV-2 in a Phase 3 Randomized Placebo Controlled Clinical Trial.

Current antiviral treatment options for SARS-CoV-2 infections are not available globally, cannot be used with many medications, and are limited to virus-specific targets.1-3 Biophysical modeling of SARS-CoV-2 replication predicted that protein translation is an especially attractive target for antiviral therapy.4 Literature review identified metformin, widely known as a treatment for diabetes, as a potential suppressor of protein translation via targeting of the host mTor pathway.5 In vitro, metformin has antiviral activity against RNA viruses including SARS-CoV-2.6,7 In the COVID-OUT phase 3, randomized, placebo-controlled trial of outpatient treatment of COVID-19, metformin had a 42% reduction in ER visits/hospitalizations/death through 14 days; a 58% reduction in hospitalizations/death through 28 days, and a 42% reduction in Long COVID through 10 months.8,9 Here we show viral load analysis of specimens collected in the COVID-OUT trial that the mean SARS-CoV-2 viral load was reduced 3.6-fold with metformin relative to placebo (-0.56 log10 copies/mL; 95%CI, -1.05 to -0.06, p=0.027) while there was no virologic effect for ivermectin or fluvoxamine vs placebo. The metformin effect was consistent across subgroups and with emerging data.10,11 Our results demonstrate, consistent with model predictions, that a safe, widely available,12 well-tolerated, and inexpensive oral medication, metformin, can be repurposed to significantly reduce SARS-CoV-2 viral load.

Outpatient treatment of COVID-19 and incidence of post-COVID-19 condition over 10 months (COVID-OUT): a multicentre, randomised, quadruple-blind, parallel-group, phase 3 trial.

BACKGROUND: Post-COVID-19 condition (also known as long COVID) is an emerging chronic illness potentially affecting millions of people. We aimed to evaluate whether outpatient COVID-19 treatment with metformin, ivermectin, or fluvoxamine soon after SARS-CoV-2 infection could reduce the risk of long COVID. METHODS: We conducted a decentralised, randomised, quadruple-blind, parallel-group, phase 3 trial (COVID-OUT) at six sites in the USA. We included adults aged 30-85 years with overweight or obesity who had COVID-19 symptoms for fewer than 7 days and a documented SARS-CoV-2 positive PCR or antigen test within 3 days before enrolment. Participants were randomly assigned via 2 × 3 parallel factorial randomisation (1:1:1:1:1:1) to receive metformin plus ivermectin, metformin plus fluvoxamine, metformin plus placebo, ivermectin plus placebo, fluvoxamine plus placebo, or placebo plus placebo. Participants, investigators, care providers, and outcomes assessors were masked to study group assignment. The primary outcome was severe COVID-19 by day 14, and those data have been published previously. Because the trial was delivered remotely nationwide, the a priori primary sample was a modified intention-to-treat sample, meaning that participants who did not receive any dose of study treatment were excluded. Long COVID diagnosis by a medical provider was a prespecified, long-term secondary outcome. This trial is complete and is registered with ClinicalTrials.gov, NCT04510194. FINDINGS: Between Dec 30, 2020, and Jan 28, 2022, 6602 people were assessed for eligibility and 1431 were enrolled and randomly assigned. Of 1323 participants who received a dose of study treatment and were included in the modified intention-to-treat population, 1126 consented for long-term follow-up and completed at least one survey after the assessment for long COVID at day 180 (564 received metformin and 562 received matched placebo; a subset of participants in the metformin vs placebo trial were also randomly assigned to receive ivermectin or fluvoxamine). 1074 (95%) of 1126 participants completed at least 9 months of follow-up. 632 (56·1%) of 1126 participants were female and 494 (43·9%) were male; 44 (7·0%) of 632 women were pregnant. The median age was 45 years (IQR 37-54) and median BMI was 29·8 kg/m2 (IQR 27·0-34·2). Overall, 93 (8·3%) of 1126 participants reported receipt of a long COVID diagnosis by day 300. The cumulative incidence of long COVID by day 300 was 6·3% (95% CI 4·2-8·2) in participants who received metformin and 10·4% (7·8-12·9) in those who received identical metformin placebo (hazard ratio [HR] 0·59, 95% CI 0·39-0·89; p=0·012). The metformin beneficial effect was consistent across prespecified subgroups. When metformin was started within 3 days of symptom onset, the HR was 0·37 (95% CI 0·15-0·95). There was no effect on cumulative incidence of long COVID with ivermectin (HR 0·99, 95% CI 0·59-1·64) or fluvoxamine (1·36, 0·78-2·34) compared with placebo. INTERPRETATION: Outpatient treatment with metformin reduced long COVID incidence by about 41%, with an absolute reduction of 4·1%, compared with placebo. Metformin has clinical benefits when used as outpatient treatment for COVID-19 and is globally available, low-cost, and safe. FUNDING: Parsemus Foundation; Rainwater Charitable Foundation; Fast Grants; UnitedHealth Group Foundation; National Institute of Diabetes, Digestive and Kidney Diseases; National Institutes of Health; and National Center for Advancing Translational Sciences.

Trajectories of depressive symptoms over 20 years and subsequent lower urinary tract symptoms and impact among women.

OBJECTIVE: The aim of the study is to examine the association between depressive symptoms and subsequent lower urinary tract symptoms (LUTS) and impact (a composite outcome) among women (N = 1,119) from the Coronary Artery Risk Development in Young Adults study. METHODS: The Center for Epidemiologic Studies-Depression Scale (CES-D) was administered in 1990-1991 and every 5 years through 2010-2011. In 2012-2013, LUTS and impact data were collected for the first time. Accumulation of risk was examined in the following three ways: (1) mean CES-D score across 20 years (5 observations); (2) depressive symptom trajectory group, determined by group-based trajectory modeling; and (3) intercepts and slopes obtained from women's individual CES-D score trajectories through two-stage mixed effects modeling. For each approach, ordinal logistic regression analyses examined odds of having "greater LUTS/impact" for each unit change in a depressive symptom variable. RESULTS: (1) With each one-unit increase in mean CES-D score over the 20-year period, women were 9% more likely to report greater LUTS/impact (odds ratio [OR] = 1.09, 95% CI = 1.07-1.11). (2) In comparison with women with consistently low depressive symptoms, women with consistently threshold depression or consistently high depressive symptoms were twice (OR = 2.07, 95% CI = 1.59-2.69) and over five times (OR = 5.55, 95% CI = 3.07-10.06) as likely, respectively, to report greater LUTS/impact. (3) Women's individual symptom intercept and slope interacted. Increases in depressive symptoms across 20 years (greater slopes) were associated with greater LUTS/impact when women's initial CES-D score (intercept) was in the moderate-to-high range relative to the sample. CONCLUSIONS: Depressive symptoms over 20 years, examined with different degrees of nuance, were consistently associated with subsequently measured LUTS and impact.

Using Billing Codes to Create a Pediatric Functional Status e-Score for Children Receiving Inpatient Rehabilitation.

OBJECTIVE: Provide proof-of-concept for development of a Pediatric Functional Status eScore (PFSeS). Demonstrate that expert clinicians rank billing codes as relevant to patient functional status and identify the domains that codes inform in a way that reliably matches analytical modeling. DESIGN: Retrospective chart review, modified Delphi, and nominal group techniques. SETTING: Large, urban, quaternary care children's hospital in the Midwestern United States. PARTICIPANTS: Data from 1955 unique patients and 2029 hospital admissions (2000-2020); 12 expert consultants representing the continuum of rehabilitation care reviewed 2893 codes (procedural, diagnostic, pharmaceutical, durable medical equipment). MAIN OUTCOME MEASURES: Consensus voting to determine whether codes were associated with functional status at discharge and, if so, what domains they informed (self-care, mobility, cognition/ communication). RESULTS: The top 250 and 500 codes identified by statistical modeling were mostly composed of codes selected by the consultant panel (78%-80% of the top 250 and 71%-78% of the top 500). The results provide evidence that clinical experts' selection of functionally meaningful codes corresponds with codes selected by statistical modeling as most strongly associated with WeeFIM domain scores. The top 5 codes most strongly related to functional independence ratings from a domain-specific assessment indicate clinically sensible relationships, further supporting the use of billing data in modeling to create a PFSeS. CONCLUSIONS: Development of a PFSeS that is predicated on billing data would improve researchers' ability to assess the functional status of children who receive inpatient rehabilitation care for a neurologic injury or illness. An expert clinician panel, representing the spectrum of medical and rehabilitative care, indicated that proposed statistical modeling identifies relevant codes mapped to 3 important domains: self-care, mobility, and cognition/communication.

Doubly structured sparsity for grouped multivariate responses with application to functional outcome score modeling.

This work is motivated by the need to accurately model a vector of responses related to pediatric functional status using administrative health data from inpatient rehabilitation visits. The components of the responses have known and structured interrelationships. To make use of these relationships in modeling, we develop a two-pronged regularization approach to borrow information across the responses. The first component of our approach encourages joint selection of the effects of each variable across possibly overlapping groups of related responses and the second component encourages shrinkage of effects towards each other for related responses. As the responses in our motivating study are not normally-distributed, our approach does not rely on an assumption of multivariate normality of the responses. We show that with an adaptive version of our penalty, our approach results in the same asymptotic distribution of estimates as if we had known in advance which variables have non-zero effects and which variables have the same effects across some outcomes. We demonstrate the performance of our method in extensive numerical studies and in an application in the prediction of functional status of pediatric patients using administrative health data in a population of children with neurological injury or illness at a large children's hospital.

Interpersonal Stressors and Resources for Support: Associations with Lower Urinary Tract Symptoms and Impact Among Women.

Background: This study utilizes Coronary Artery Risk Development in Young Adults (CARDIA) data to examine whether women's perceived emotional support and interpersonal stressors are associated with lower urinary tract symptoms (LUTS) and their impact on quality of life. Materials and Methods: Emotional support was assessed at baseline/year 0 (1985-86), year 2 (1987-88), year 15 (2000-01), and year 20 (2005-06); interpersonal stressors were assessed at years 15 and 20. In 2012-13, LUTS and impact were assessed. LUTS/impact category (a composite variable ranging from bladder health to mild, moderate, and severe LUTS/impact) was regressed on trajectory groups of emotional support from years 0 to 20. Separately, LUTS/impact was regressed on mean emotional support and interpersonal stressors across years 15-20. Analyses were adjusted for age, race, education, and parity (n = 1104). Results: In comparison to women whose support trajectory from years 0 to 20 was consistently high, women whose support decreased from high to low had over twice the odds (odds ratio [OR] = 2.72; 95% confidence interval [CI] = 1.76-4.20) of being classified into a more burdensome LUTS/impact category. Mean support and interpersonal stressors across years 15-20 were independently associated with lower odds (OR = 0.59; 95% CI = 0.44-0.77) and greater odds (OR = 1.52; 95% CI = 1.19-1.94), respectively, of being classified into a more burdensome LUTS/impact category. Conclusions: In the CARDIA cohort, quality of women's interpersonal relationships, assessed between 1985-86 and 2005-06, was associated with LUTS/impact assessed in 2012-13. Additional research collecting LUTS/impact data at multiple time points is needed to test potential bidirectional associations of emotional support and interpersonal stressors with LUTS/impact, as well as potential mechanisms of association.

Comparable safety profile between neuro-oncology procedures involving stereotactic needle biopsy (SNB) followed by laser interstitial thermal therapy (LITT) and LITT alone procedures.

INTRODUCTION: Tissue diagnosis through stereotactic needle biopsy (SNB) is often needed prior to laser interstitial thermal therapy (LITT). Whether these procedures should be performed in the same surgery or in separate settings remain unclear. As a first step to address this question, we assess safety profile of procedures involving LITT alone versus SNB + LITT. METHODS: Using International Classification of Disease (ICD) codes, we queried the National Readmissions Database (NRD, 2010-2018) for malignant brain tumor patients who underwent either (1) LITT alone or (2) elective LITT in combination with SNB (SNB + LITT). Survey regression methods were utilized. Additionally, the procedural outcome of LITT or SNB + LITT performed by the senior surgeon (2014-2022) were reviewed. RESULTS: During the study period, an estimated 678 malignant brain tumor patients underwent LITT alone versus 373 patients that underwent SNB + LITT. Patients undergoing LITT and SNB + LITT exhibited statistically comparable median lengths of hospital stay (IQR; LITT = 2 day [1, 3]; SNB + LITT = 1 day [1, 3]; p = 0.405) and likelihood of routine discharge (LITT = 73.5%; SNB + LITT = 81.1%; p = 0.068). The odds of 30-day medical or neurological readmissions were comparable between LITT and SNB + LITT treated patients (all p ≥ 0.793). In the single surgeon experience of 218 procedures performed over an eight year period (2014-2022), the complications (LITT = 3.9%; SNB + LITT = 2.6%, p = 0.709), discharge within 48 h (LITT = 84.5%; SNB + LITT = 87.8%; p = 0.556), routine discharge (LITT = 91.3%; SNB + LITT = 93.9%; p = 0.604), and unplanned 30-day readmission (LITT = 3.9%; SNB + LITT = 1.7%; p = 0.423) were similarly comparable between LITT and SNB + LITT. CONCLUSION: The length of hospital stay, the likelihood of routine discharge, and 30-day readmission for malignant brain tumor patients who underwent LITT and SNB + LITT were comparable.

Adverse Childhood Experiences and Lower Urinary Tract Symptoms and Impact Among Women.

PURPOSE: This study utilizes CARDIA (Coronary Artery Risk Development in Young Adults) cohort study data to examine whether (1) family-based adverse childhood experiences, recalled by women aged 32 to 47, are associated with lower urinary tract symptoms and their impact, a composite variable with 4 levels (bladder health and mild, moderate, or severe lower urinary tract symptoms/impact), and (2) extensiveness of women's social networks in adulthood attenuates an association between adverse childhood experiences and lower urinary tract symptoms/impact. MATERIALS AND METHODS: In 2000-2001, frequency of adverse childhood experiences exposure was retrospectively assessed. In 2000-2001, 2005-2006, and 2010-2011, extensiveness of social networks was assessed; scores were averaged. In 2012-2013, lower urinary tract symptoms/impact data were collected. Logistic regression analyses examined whether adverse childhood experiences, extensiveness of social networks, and their interaction were associated with lower urinary tract symptoms/impact, adjusting for age, race, education, and parity (n=1,302). RESULTS: Recall of more frequent family-based adverse childhood experiences was associated with report of more lower urinary tract symptoms/impact over 10 years later (OR=1.26, 95% CI=1.07, 1.48). Social networks during adulthood appeared to attenuate the association between adverse childhood experiences and lower urinary tract symptoms/impact (OR=0.64, 95% CI=0.41, 1.02). Among women with less extensive social networks, estimated probability of experiencing moderate or severe lower urinary tract symptoms/impact vs bladder health or mild lower urinary tract symptoms/impact was 0.29 and 0.21 for those reporting an adverse childhood experiences frequency corresponding to more than "a little" vs "rarely or none of the time," respectively. Among women with more extensive social networks, estimated probabilities were 0.20 and 0.21, respectively. CONCLUSIONS: Family-based adverse childhood experiences are related to lower urinary tract symptoms/impact vs bladder health in adulthood. Additional research is needed to corroborate the potentially attenuating effect of social networks.

A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative.

Healthcare datasets obtained from Electronic Health Records have proven to be extremely useful for assessing associations between patients' predictors and outcomes of interest. However, these datasets often suffer from missing values in a high proportion of cases, whose removal may introduce severe bias. Several multiple imputation algorithms have been proposed to attempt to recover the missing information under an assumed missingness mechanism. Each algorithm presents strengths and weaknesses, and there is currently no consensus on which multiple imputation algorithm works best in a given scenario. Furthermore, the selection of each algorithm's parameters and data-related modeling choices are also both crucial and challenging. In this paper we propose a novel framework to numerically evaluate strategies for handling missing data in the context of statistical analysis, with a particular focus on multiple imputation techniques. We demonstrate the feasibility of our approach on a large cohort of type-2 diabetes patients provided by the National COVID Cohort Collaborative (N3C) Enclave, where we explored the influence of various patient characteristics on outcomes related to COVID-19. Our analysis included classic multiple imputation techniques as well as simple complete-case Inverse Probability Weighted models. Extensive experiments show that our approach can effectively highlight the most promising and performant missing-data handling strategy for our case study. Moreover, our methodology allowed a better understanding of the behavior of the different models and of how it changed as we modified their parameters. Our method is general and can be applied to different research fields and on datasets containing heterogeneous types.

Rituximab is associated with worse COVID-19 outcomes in patients with rheumatoid arthritis: A retrospective, nationally sampled cohort study from the U.S. National COVID Cohort Collaborative (N3C).

OBJECTIVE: To assess whether rituximab (RTX) is associated with worse COVID-19 outcomes among patients with rheumatoid arthritis (RA). METHODS: We used the National COVID Cohort Collaborative (N3C), the largest US cohort of COVID-19 cases and controls, to identify patients with RA (International Classification of Diseases (ICD)-10 code, M05.X or M06.X). Key outcomes were COVID-19-related hospitalization, intensive care unit (ICU) admission, 30-day mortality, and World Health Organization (WHO) classification for COVID-19 severity. We used multivariable logistic regression models to assess the association between RTX use and the odds of COVID-19 outcomes compared with the use of conventional synthetic disease modifying anti-rheumatic drugs (csDMARDs), adjusting for demographics, medical comorbidities, smoking status, body mass index, US region and COVID-19 treatments. RESULTS: A total of 69,549 patients met our eligibility criteria of which 22,956 received a COVID-19 positive diagnosis between 1/1/2020 and 9/16/2021. Median (IQR) age of the cohort was 63 (52-72) years, 76% of the cohort was female, 68% was non-Hispanic/Latinx White, and 73% was non-smokers. Prior to their first COVID-19 diagnosis, 364 patients were exposed to RTX. Compared to the use of csDMARDs, RTX use was associated with an increased odds of COVID-19-related hospitalization (adjusted odds ratio [aOR] 2.1, 95% confidence interval 1.5-3.0), ICU admission (aOR 5.2, 1.8-15.4) and invasive ventilation (aOR 2.7, 1.4-5.5). Results were confirmed in multiple sensitivity analyses. CONCLUSION: Our findings can guide patients, providers, and policymakers regarding the increased risks associated with RTX use during the COVID-19 pandemic. These results can help risk stratification and prognosis-assessment.

Rates of operative intervention for infection after synthetic or autologous cranioplasty: a National Readmissions Database analysis.

OBJECTIVE: The aim of this study was to characterize the clinical utilization and associated charges of autologous bone flap (ABF) versus synthetic flap (SF) cranioplasty and to characterize the postoperative infection risk of SF versus ABF using the National Readmissions Database (NRD). METHODS: The authors used the publicly available NRD to identify index hospitalizations from October 2015 to December 2018 involving elective ABF or SF cranioplasty after traumatic brain injury (TBI) or stroke. Subsequent readmissions were further characterized if patients underwent neurosurgical intervention for treatment of infection or suspected infection. Survey Cox proportional hazards models were used to assess risk of readmission. RESULTS: An estimated 2295 SF and 2072 ABF cranioplasties were performed from October 2015 to December 2018 in the United States. While the total number of cranioplasty operations decreased during the study period, the proportion of cranioplasties utilizing SF increased (p < 0.001), particularly in male patients (p = 0.011) and those with TBI (vs stroke, p = 0.012). The median total hospital charge for SF cranioplasty was $31,200 more costly than ABF cranioplasty (p < 0.001). Of all first-time readmissions, 20% involved surgical treatment for infectious reasons. Overall, 122 SF patients (5.3%) underwent surgical treatment of infection compared with 70 ABF patients (3.4%) on readmission. After accounting for confounders using a multivariable Cox model, female patients (vs male, p = 0.003), those discharged nonroutinely (vs discharge to home or self-care, p < 0.001), and patients who underwent SF cranioplasty (vs ABF, p = 0.011) were more likely to be readmitted for reoperation. Patients undergoing cranioplasty during more recent years (e.g., 2018 vs 2015) were less likely to be readmitted for reoperation because of infection (p = 0.024). CONCLUSIONS: SFs are increasingly replacing ABFs as the material of choice for cranioplasty, despite their association with increased hospital charges. Female sex, nonroutine discharge, and SF cranioplasty are associated with increased risk for reoperation after cranioplasty.

Impact of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Vaccination and Booster on Coronavirus Disease 2019 (COVID-19) Symptom Severity Over Time in the COVID-OUT Trial.

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination has decreasing protection from acquiring any infection with emergence of new variants; however, vaccination continues to protect against progression to severe coronavirus disease 2019 (COVID-19). The impact of vaccination status on symptoms over time is less clear. METHODS: Within a randomized trial on early outpatient COVID-19 therapy testing metformin, ivermectin, and/or fluvoxamine, participants recorded symptoms daily for 14 days. Participants were given a paper symptom diary allowing them to circle the severity of 14 symptoms as none (0), mild (1), moderate (2), or severe (3). This is a secondary analysis of clinical trial data on symptom severity over time using generalized estimating equations comparing those unvaccinated, SARS-CoV-2 vaccinated with primary vaccine series only, or vaccine-boosted. RESULTS: The parent clinical trial prospectively enrolled 1323 participants, of whom 1062 (80%) prospectively recorded some daily symptom data. Of these, 480 (45%) were unvaccinated, 530 (50%) were vaccinated with primary series only, and 52 (5%) vaccine-boosted. Overall symptom severity was least for the vaccine-boosted group and most severe for unvaccinated at baseline and over the 14 days (P < .001). Individual symptoms were least severe in the vaccine-boosted group including cough, chills, fever, nausea, fatigue, myalgia, headache, and diarrhea, as well as smell and taste abnormalities. Results were consistent over Delta and Omicron variant time periods. CONCLUSIONS: SARS-CoV-2 vaccine-boosted participants had the least severe symptoms during COVID-19, which abated the quickest over time. Clinical Trial Registration. NCT04510194.