Doubly Robust Causal Modeling to Evaluate Device Implantation.

This Guide to Statistics and Methods explains doubly robust causal modeling, which offers 2 opportunities to correctly model confounders, when to use it, and discusses its limitations.

Evaluation of Dynamic Effects of Depressive Symptoms on Physical Function in Knee Osteoarthritis.

OBJECTIVE: To assess how changes in depressive symptoms influence physical function over time among those with radiographic knee osteoarthritis (OA). METHODS: Participants from the Osteoarthritis Initiative with radiographic knee OA (n = 2,212) and complete data were identified at baseline. Depressive symptoms were assessed as a time-varying score at baseline and the first three annual follow-up visits using the Center for Epidemiological Studies Depression Scale (CES-D) Scale. Physical function was measured at the first four follow-up visits using 20-meter gait speed meters per second. The following two marginal structural models were fit: one assessing the main effect of depressive symptoms on gait speed and another assessing time-specific associations. RESULTS: Time-adjusted results indicated that higher CES-D scores were significantly associated with slower gait speed (-0.0048; 95% confidence interval -0.0082 to -0.0014), and time-specific associations of CES-D were largest during the first follow-up interval (-0.0082; 95% confidence interval -0.0128 to -0.0035). During subsequent follow-up time points, the influence of depressive symptoms on gait speed diminished. CONCLUSION: The negative effect of depressive symptoms on physical function may decrease over time as knee OA progresses.

Time-varying treatment effect modification of oral analgesic effectiveness by depressive symptoms in knee osteoarthritis: an application of structural nested mean models in a prospective cohort.

BACKGROUND: Depressive symptoms are common in knee osteoarthritis (OA), exacerbate knee pain severity and may influence outcomes of oral analgesic treatments. The aim was to assess whether oral analgesic effectiveness in knee OA varies by fluctuations in depressive symptoms. METHODS: The sample included Osteoarthritis Initiative (OAI) participants not treated with oral analgesics at enrolment (n = 1477), with radiographic disease at the first follow-up visit (defined as the index date). Oral analgesic treatment and depressive symptoms, assessed with the Center for Epidemiological Studies Depression [(CES-D) score ≥16] Scale, were measured over three annual visits. Knee pain severity was measured at visits adjacent to treatment and modifier using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain subscale (rescaled range = 0-100). Structural nested mean models (SNMMs) estimated causal mean differences in knee pain severity comparing treatment versus no treatment. RESULTS: The average causal effects of treated versus not treated for observations without depressive symptoms showed negligible differences in knee pain severity. However, causal mean differences in knee pain severity comparing treatment versus no treatment among observations with depressive symptoms increased over time from -0.10 [95% confidence interval (CI): -9.94, 9.74] to -16.67 (95% CI: -26.33, -7.01). Accordingly, the difference in average causal effects regarding oral analgesic treatment for knee pain severity between person-time with and without depressive symptoms was largest (-16.53; 95% CI: -26.75, -6.31) at the last time point. Cumulative treatment for 2 or 3 years did not yield larger causal mean differences. CONCLUSIONS: Knee OA patients with persistent depressive symptoms and chronic pain may derive more analgesic treatment benefit than those without depressive symptoms and less pain.

Duloxetine plus exercise for knee osteoarthritis and depression: A feasibility study.

Objective: To assess the feasibility of a 24-week, center-based, aerobic exercise program plus duloxetine to treat symptomatic knee osteoarthritis (OA) and major depression. Design: Patients with symptomatic knee OA and major depression were recruited between August 2021 and November 2022 from the University of Maryland and VA Maryland Health Care Systems and Baltimore metropolitan area using medical records and advertisements. The intervention included 1) supervised treadmill walking 3 times weekly and 2) duloxetine starting at 30 â€‹mg each day and titrating up to the optimal dosage of 60 â€‹mg daily. Data collection occurred at baseline and 12- and 24-weeks follow-up. Feasibility was evaluated from recruitment rates, reasons for drop out, and treatment adherence. Clinical measures included the Knee Injury and Osteoarthritis Outcome Score (KOOS) and the Hamilton Depression Rating Scale (HAM-D). Results: Among 377 interested participants, 9 patients were enrolled, and 1 completed treatment. The most common reason reported for not prescreening was time commitment (n â€‹= â€‹39), many patients did not satisfy depression screening criteria (n â€‹= â€‹45), and most enrolled participants were not experiencing a major depressive episode (n â€‹= â€‹6). The single treated participant was 100 â€‹% adherent to duloxetine and depression severity decreased (HAM-D â€‹= â€‹25 to 1), but compliance to supervised exercise was only 26 â€‹%, and knee pain severity changed little (KOOS â€‹= â€‹41.7 to 44.4). Conclusions: This intervention had low feasibility. Time commitment to supervised exercise sessions reduced accessibility, and depression defined by diagnostic criteria precluded knee OA patients with depressive symptoms not a meeting case-level diagnosis from receiving treatment. Clinical trial registration number: NCT04111627.

Analyzing risk factors for post-acute recovery in older adults with Alzheimer's disease and related dementia: A new semi-parametric model for large-scale medicare claims.

Nearly 300,000 older adults experience a hip fracture every year, the majority of which occur following a fall. Unfortunately, recovery after fall-related trauma such as hip fracture is poor, where older adults diagnosed with Alzheimer's disease and related dementia (ADRD) spend a particularly long time in hospitals or rehabilitation facilities during the post-operative recuperation period. Because older adults value functional recovery and spending time at home versus facilities as key outcomes after hospitalization, identifying factors that influence days spent at home after hospitalization is imperative. While several individual-level factors have been identified, the characteristics of the treating hospital have recently been identified as contributors. However, few methodological rigorous approaches are available to help overcome potential sources of bias such as hospital-level unmeasured confounders, informative hospital size, and loss to follow-up due to death. This article develops a useful tool equipped with unsupervised learning to simultaneously handle statistical complexities that are often encountered in health services research, especially when using large administrative claims databases. The proposed estimator has a closed form, thus only requiring light computation load in a large-scale study. We further develop its asymptotic properties with stabilized inference assisted by unsupervised clustering. Extensive simulation studies demonstrate superiority of the proposed estimator compared to existing estimators.

Integrating compositional and functional content to describe vaginal microbiomes in health and disease.

BACKGROUND: A Lactobacillus-dominated vaginal microbiome provides the first line of defense against adverse genital tract health outcomes. However, there is limited understanding of the mechanisms by which the vaginal microbiome modulates protection, as prior work mostly described its composition through morphologic assessment and marker gene sequencing methods that do not capture functional information. To address this gap, we developed metagenomic community state types (mgCSTs) which use metagenomic sequences to describe and define vaginal microbiomes based on both composition and functional potential. RESULTS: MgCSTs are categories of microbiomes classified using taxonomy and the functional potential encoded in their metagenomes. MgCSTs reflect unique combinations of metagenomic subspecies (mgSs), which are assemblages of bacterial strains of the same species, within a microbiome. We demonstrate that mgCSTs are associated with demographics such as age and race, as well as vaginal pH and Gram stain assessment of vaginal smears. Importantly, these associations varied between mgCSTs predominated by the same bacterial species. A subset of mgCSTs, including three of the six predominated by Gardnerella vaginalis mgSs, as well as mgSs of L. iners, were associated with a greater likelihood of bacterial vaginosis diagnosed by Amsel clinical criteria. This L. iners mgSs, among other functional features, encoded enhanced genetic capabilities for epithelial cell attachment that could facilitate cytotoxin-mediated cell lysis. Finally, we report a mgSs and mgCST classifier for which source code is provided and may be adapted for use by the microbiome research community. CONCLUSIONS: MgCSTs are a novel and easily implemented approach to reduce the dimension of complex metagenomic datasets while maintaining their functional uniqueness. MgCSTs enable the investigation of multiple strains of the same species and the functional diversity in that species. Future investigations of functional diversity may be key to unraveling the pathways by which the vaginal microbiome modulates the protection of the genital tract. Importantly, our findings support the hypothesis that functional differences between vaginal microbiomes, including those that may look compositionally similar, are critical considerations in vaginal health. Ultimately, mgCSTs may lead to novel hypotheses concerning the role of the vaginal microbiome in promoting health and disease, and identify targets for novel prognostic, diagnostic, and therapeutic strategies to improve women's genital health. Video Abstract.

Associations of Days Spent at Home Before Hip Fracture With Postfracture Days at Home and 1-Year Mortality Among Medicare Beneficiaries Living With Alzheimer's Disease or Related Dementias.

BACKGROUND: Hip fracture is a disabling event experienced disproportionately by older adults with Alzheimer's disease or related dementias (ADRD). Claims information recorded prior to a hip fracture could provide valuable insights into recovery potential for these patients. Thus, our objective was to identify distinct trajectories of claims-based days at home (DAH) before a hip fracture among older adults with ADRD and evaluate associations with postfracture DAH and 1-year mortality. METHODS: We conducted a cohort study of 16 576 Medicare beneficiaries living with ADRD who experienced hip fracture between 2010 and 2017. Growth mixture modeling was used to estimate trajectories of DAH assessed from 180 days prior to fracture until index fracture admission, and their joint associations with postfracture DAH trajectories and 1-year mortality. RESULTS: Before a hip fracture, a model with 3 distinct latent DAH trajectories was the best fit. Trajectories were characterized based on their temporal patterns as Consistently High (n = 14 980, 90.3%), Low but Increasing (n = 809, 5.3%), or Low and Decreasing (n = 787, 4.7%). Membership in the Low and Decreasing prefracture DAH trajectory was associated with less favorable postfracture DAH trajectories, and a 65% higher 1-year mortality rate (hazard ratio 1.65, 95% confidence interval 1.45-1.87) as compared to those in the Consistently High trajectory. Similar albeit weaker associations with these outcomes were observed for hip fracture survivors in the Low but Improving prefracture DAH trajectory. CONCLUSIONS: Distinct prefracture DAH trajectories among hip fracture survivors with ADRD are strongly linked to postfracture DAH and 1-year mortality, which could guide development of tailored interventions.

Bacterial Vaginosis and Spontaneous Clearance of Chlamydia trachomatis in the Longitudinal Study of Vaginal Flora.

BACKGROUND: Up to 26% of urogenital Chlamydia trachomatis infections spontaneously resolve between detection and treatment. Mechanisms governing natural resolution are unknown. We examined whether bacterial vaginosis (BV) was associated with greater chlamydia persistence versus spontaneous clearance in a large, longitudinal study. METHODS: Between 1999 and 2003, the Longitudinal Study of Vaginal Flora followed reproductive-age women quarterly for 1 year. Baseline chlamydia screening and treatment were initiated after ligase chain reaction testing became available midstudy, and unscreened endocervical samples were tested after study completion. Chlamydia clearance and persistence were defined between consecutive visits without chlamydia-active antibiotics (n = 320 persistence/n = 310 clearance). Associations between Nugent score (0-3, no BV; 4-10, intermediate/BV), Amsel-BV, and chlamydia persistence versus clearance were modeled with alternating and conditional logistic regression. RESULTS: Of chlamydia cases, 48% spontaneously cleared by the next visit (310/630). Nugent-intermediate/BV was associated with higher odds of chlamydia persistence (adjusted odds ratio [aOR] = 1.89; 95% confidence interval [CI], 1.30-2.74), and the findings were similar for Amsel-BV (aOR 1.39; 95% CI, .99-1.96). The association between Nugent-intermediate/BV and chlamydia persistence was stronger in a within-participant analysis of 67 participants with both clearance/persistence intervals (aOR = 4.77; 95% CI, 1.39-16.35). BV symptoms did not affect any results. CONCLUSIONS: BV is associated with greater chlamydia persistence. Optimizing the vaginal microbiome may promote chlamydia clearance.

Plasma metabolomic signatures of dual decline in memory and gait in older adults.

Older adults experiencing dual decline in memory and gait have greater dementia risk than those with memory or gait decline only, but mechanisms are unknown. Dual decline may indicate specific pathophysiological pathways to dementia which can be reflected by circulating metabolites. We compared longitudinal changes in plasma metabolite biomarkers of older adults with and without dual decline in the Baltimore Longitudinal Study of Aging (BLSA). Participants were grouped into 4 phenotypes based on annual rates of decline in verbal memory and gait speed: no decline in memory or gait, memory decline only, gait decline only, and dual decline. Repeated measures of plasma metabolomics were measured by biocrates p500 kit during the same time of memory and gait assessments. In BLSA, 18 metabolites differed across groups (q-value < 0.05). Metabolites differentially abundant were enriched for lysophosphatidylcholines (lysoPC C18:0,C16:0,C17:0,C18:1,C18:2), ceramides (d18:2/24:0,d16:1/24:0,d16:1/23:0), and amino acids (glycine) classes. Compared to no decline, the dual decline group showed greater declines in lysoPC C18:0, homoarginine synthesis, and the metabolite module containing mostly triglycerides, and showed a greater increase in indoleamine 2,3-dioxygenase (IDO) activity. Metabolites distinguishing dual decline and no decline groups were implicated in metabolic pathways of the aminoacyl-tRNA biosynthesis, valine, leucine and isoleucine biosynthesis, histidine metabolism, and sphingolipid metabolism. Older adults with dual decline exhibit the most extensive alterations in metabolic profiling of lysoPCs, ceramides, IDO activity, and homoarginine synthesis. Alterations in these metabolites may indicate mitochondrial dysfunction, compromised immunity, and elevated burden of cardiovascular and kidney pathology.

High-resolution functional description of vaginal microbiomes in health and disease.

Background: A Lactobacillus-dominated vaginal microbiome provides the first line of defense against numerous adverse genital tract health outcomes. However, there is limited understanding of the mechanisms by which the vaginal microbiome modulates protection, as prior work mostly described its composition through morphologic assessment and marker gene sequencing methods that do not capture functional information. To address this limitation, we developed metagenomic community state types (mgCSTs) which uses metagenomic sequences to describe and define vaginal microbiomes based on both composition and function. Results: MgCSTs are categories of microbiomes classified using taxonomy and the functional potential encoded in their metagenomes. MgCSTs reflect unique combinations of metagenomic subspecies (mgSs), which are assemblages of bacterial strains of the same species, within a microbiome. We demonstrate that mgCSTs are associated with demographics such as age and race, as well as vaginal pH and Gram stain assessment of vaginal smears. Importantly, these associations varied between mgCSTs predominated by the same bacterial species. A subset of mgCSTs, including three of the six predominated by Gardnerella mgSs, as well as a mgSs of L. iners, were associated with a greater likelihood of Amsel bacterial vaginosis diagnosis. This L. iners mgSs, among other functional features, encoded enhanced genetic capabilities for epithelial cell attachment that could facilitate cytotoxin-mediated cell lysis. Finally, we report a mgSs and mgCST classifier as an easily applied, standardized method for use by the microbiome research community. Conclusions: MgCSTs are a novel and easily implemented approach to reducing the dimension of complex metagenomic datasets, while maintaining their functional uniqueness. MgCSTs enable investigation of multiple strains of the same species and the functional diversity in that species. Future investigations of functional diversity may be key to unraveling the pathways by which the vaginal microbiome modulates protection to the genital tract. Importantly, our findings support the hypothesis that functional differences between vaginal microbiomes, including those that may look compositionally similar, are critical considerations in vaginal health. Ultimately, mgCSTs may lead to novel hypotheses concerning the role of the vaginal microbiome in promoting health and disease, and identify targets for novel prognostic, diagnostic, and therapeutic strategies to improve women's genital health.

Predictors of mobility status one year post hip fracture among community-dwelling older adults prior to fracture: A prospective cohort study.

BACKGROUND: Orthopedists and other clinicians assess recovery potential of hip fracture patients at 2 months post-fracture for care planning. It is unclear if examining physical performance (e.g., balance, gait speed, chair stand) during this follow-up visit can identify individuals at a risk of poor functional recovery, especially mobility, beyond available information from medical records and self-report. METHODS: Data came from 162 patients with hip fracture enrolled in the Baltimore Hip Studies-7th cohort. Predictors of mobility status (ability to walk 1 block at 12 months post-fracture) were the Short Physical Performance Battery (SPPB) comprising balance, walking and chair rise tasks at 2 months; baseline medical chart information (sex, age, American Society of Anesthesiologist physical status rating, type of fracture and surgery, and comorbidities); and self-reported information about the physical function (ability to walk 10 feet and 1 block at pre-fracture and at 2 months post-fracture). Prediction models of 12-month mobility status were built using two methods: (1) logistic regression with least absolute shrinkage and selection operator (LASSO) regularization, and (2) classification and regression trees (CART). Area under ROC curves (AUROC) assessed discrimination. RESULTS: The participants had a median age of 82 years, and 49.3% (n = 80) were men. Two-month SPPB and gait speed were selected as predictors of 12-month mobility by both methods. Compared with an analytic model with medical chart and self-reported information, the model that additionally included physical performance measures had significantly better discrimination for 12-month mobility (AUROC 0.82 vs. 0.88, p = 0.004). CONCLUSION: Assessing SPPB and gait speed at 2 months after a hip fracture in addition to information from medical records and self-report significantly improves prediction of 12-month mobility. This finding has important implications in providing tailored clinical care to patients at a greater risk of being functionally dependent who would not otherwise be identified using regularly measured clinical markers.

Association of Subjective and Objective Measures of Sleep With Gut Microbiota Composition and Diversity in Older Men: The Osteoporotic Fractures in Men Study.

BACKGROUND: Growing evidence suggests bidirectional links between gut microbiota and sleep quality as shared contributors to health. Little is known about the relationship between microbiota and sleep among older persons. METHODS: We used 16S rRNA sequencing to characterize stool microbiota among men (n = 606, mean [standard deviation] age = 83.9 [3.8]) enrolled in the Osteoporotic Fractures in Men (MrOS) study from 2014 to 2016. Sleep was assessed concurrently by a questionnaire (Pittsburgh Sleep Quality index [PSQI]), and activity monitor to examine timing (acrophase) and regularity of patterns (F-statistic). Alpha diversity was measured using Faith's phylogenetic diversity (PD). Beta diversity was calculated with robust Aitchison distance with matrix completion (RPCA) and phylogenetic-RPCA (PRPCA). Their association with sleep variables was tested with partial distance-based redundancy analysis (dbRDA). Predictive-ratio biomarkers associated with sleep measurements were identified with CoDaCoRe. RESULTS: In unadjusted analyses, men with poor sleep (PSQI >5) tended to have lower alpha diversity compared to men with normal sleep (Faith's PD, beta = -0.15; 95% confidence interval [CI]: -0.30 to 0.01, p = .06). Sleep regularity was significantly associated with RPCA and PRPCA, even after adjusting for site, batch, age, ethnicity, body mass index, diabetes, antidepressant and sleep medication use, and health behaviors (RPCA/PRPCA dbRDA; p = .033/.002). In taxonomic analysis, ratios of 7:6 bacteria for better regularity (p = .0004) and 4:7 for worse self-reported sleep (p = .005) were differentially abundant: some butyrate-producing bacteria were associated with better sleep characteristics. CONCLUSIONS: Subjective and objective indicators of sleep quality suggest that older men with better sleep patterns are more likely to harbor butyrate-producing bacteria associated with better health.

Traumatic Brain Injury and Risk of Long-Term Nursing Home Entry among Older Adults: An Analysis of Medicare Administrative Claims Data.

Traumatic brain injury (TBI) is a leading cause of injury-related disability among older adults, and there is increasing interest in post-discharge management as this population grows. We evaluated the association between TBI and long-term nursing home (NH) entry among a nationally representative sample of older adults. We identified 207,355 adults aged ≥65 years who received a diagnosis of either a TBI, non-TBI trauma, or were uninjured between January 2008 and June 2015 from a 5% sample of Medicare beneficiaries. The NH entry was operationalized as the first NH admission that resulted in a stay ≥100 days. Time to NH entry was calculated as the difference between the NH entry date and the index date (the date of TBI, non-TBI trauma, or inpatient/outpatient visit in the uninjured group). We used cause-specific Cox proportional hazards models with stabilized inverse probability of exposure weights to model time to NH entry as a function of injury in the presence of death as a competing risk and generated hazard ratios (HR) and 95% confidence intervals (CI). After excluding beneficiaries living in a NH at index, there were 60,600 TBI, 63,762 non-TBI trauma, and 69,893 uninjured beneficiaries in the sample. In weighted models, beneficiaries with TBI entered NHs at higher rates relative to the non-TBI trauma (HR 1.15; 95% CI 1.10, 1.20) and uninjured (HR 1.67; 95% CI 1.60, 1.74) groups. Future research should focus on interventions to retain older adult TBI survivors within the community.

Douching cessation and molecular bacterial vaginosis: a reanalysis of archived specimens.

OBJECTIVES: Observational studies demonstrate an association between vaginal douching and bacterial vaginosis (BV) characterised by Gram stain. We sought to describe the effect of a douching cessation intervention on the composition and structure of the vaginal microbiota and molecular-BV, a state defined by low levels of Lactobacillus spp evaluated by molecular tools. METHODS: 33 women self-collected mid-vaginal swabs twice weekly (982 samples) during a douching observation phase (4 weeks) followed by a douching cessation phase (12 weeks) in a 2005 single crossover pilot study conducted in Baltimore, Maryland. Vaginal microbiota were characterised by 16S rRNA gene amplicon sequencing (V3-V4) and clustered into community state types (CSTs). Conditional logistic regression modelling allowed each participant to serve as their own control. Wilcoxon signed-rank tests were used to evaluate changes in microbiota between phases. Broad-range qPCR assays provided estimates of bacterial absolute abundance per swab in a subsample of seven participants before and after douching. A piecewise linear mixed effects model was used to assess rates of change in bacterial absolute abundance before and after douching. RESULTS: There was no statistically significant change in the odds of molecular-BV versus Lactobacillus-dominated CSTs comparing the douching cessation interval to douching observation (adjusted OR 1.77, 95% CI 0.89 to 3.55). Removal of L. iners-dominated CST III from the outcome did not affect the results. There were no significant changes in the relative abundance of four Lactobacillus spp and no meaningful changes in other taxa investigated. There was no significant change in bacterial absolute abundance between a participant's sample collected 3 days prior to and following douching (p=0.46). CONCLUSIONS: In this pilot study, douching cessation was not associated with major changes in vaginal microbiota. Douching cessation alone may not durably shift the vaginal microbiota and additional interventions may be needed to restore optimal vaginal microbiota among those who douche.

Factors Associated With Incidence and Spontaneous Clearance of Molecular-Bacterial Vaginosis: Results From a Longitudinal Frequent-Sampling Observational Study.

BACKGROUND: We sought to assess time-independent and time-varying factors associated with incidence and spontaneous clearance of molecular-bacterial vaginosis (BV; without treatment). METHODS: Midvaginal samples were self-collected daily by 100 participants recruited at the University of Alabama Birmingham for 10 weeks (4778 samples). Vaginal microbiota was characterized by 16S rRNA gene amplicon sequencing and clustered into community state types (CSTs). A low-Lactobacillus CST defined the molecular-BV outcome in this study. Factors associated with molecular-BV incidence and spontaneous clearance were modeled using Andersen-Gill recurrent event Cox models. Community class identified the predominant CST of a participant during follow-up. RESULTS: Menstruations (adjusted odds ratio [aHR], 2.09 [95% confidence interval, 1.51-2.89] in the prior 24 hours) and CST III (Lactobacillus iners dominated) at the previous sample (aHR, 2.25 [1.48-3.40]) were associated with increased molecular-BV incidence. Participants with a majority of L. iners-dominated samples longitudinally (community class LI) displayed less stable patterns of vaginal microbiota. In LI participants, reduced molecular-BV spontaneous clearance was observed in African American participants (aHR, 0.44 [0.26-0.75]) compared with White participants, older participants (age, 40-49 years [aHR, 0.38; 0.23-0.61]; age, 30-39 years [aHR, 0.48; 0.28-0.83]) compared with participants aged 18 to 29 years, and after douching (0.45 [0.28-0.73] within prior 72 hours). CONCLUSIONS: Although it is now well documented that vaginal microbiota are dynamic, there are few available data on factors associated with spontaneous clearance of molecular-BV. Lactobacillus iners-dominated vaginal microbiota are more likely to be dynamic and associated with different risk factors for incidence and clearance of BV. Among L. iners-dominated participants, age, race, and douching were linked to reduced clearance. Most transitions to molecular-BV during menstruations were short-lived.

GDF15 and Cortisol Response to Meal Tolerance Test in Post-Sleeve Gastrectomy Patients with Weight Regain.

BACKGROUND: Hormonal factors behind weight regain (WR) after surgical weight loss remain inadequately understood. Growth/differentiation factor 15 (GDF15) has emerged as a potential therapeutic target in obesity treatment. Cortisol, another stress hormone, has also been associated with weight gain at both low and high circulating concentrations. We aimed to compare meal-stimulated GDF15 and cortisol response in adults with and without WR after sleeve gastrectomy (SG). We hypothesized that GDF15 and cortisol response to meal tolerance test (MTT) will be lower in those with versus without WR after SG. METHODS: Cross-sectional study comprised 21 adults without diabetes, who underwent SG. WR was defined as 100 × (current weight - nadir)/(preoperative weight - nadir) > 10%. GDF15, cortisol, insulin, glucose, and incretins (total glucagon-like peptide (GLP)-1 and glucose-dependent insulinotropic polypeptide (GIP) circulating concentrations) were measured during MTT (0-240 min) after 3-6 years post-bariatric surgery. RESULTS: All participants were 48% White, 85% female, with mean (SD) age: 43(10) years, and BMI: 36.2(7.6) kg/m2. Compared to the non-WR group (n = 6), the WR group (n = 15) had significantly higher BMI (WR: 38.6 ± 7.6 kg/m2, non-WR: 30.3 ± 3.5 kg/m2, p = 0.02) and showed lower GDF15 response (WR AUC vs non-WR AUC (116143 ± 13973 vs 185798 ± 38884 ng*min/L, p = 0.047)) and lower cortisol response (WR AUC vs non-WR AUC (3492 ± 210 vs 4880 ± 655 µg*min/dL, p = 0.015)). Incretin response did not differ between the groups. CONCLUSIONS: GDF15 and cortisol responses to MTT were lower in those who regained the weight after SG compared to those who did not, suggesting that dysregulation in GDF15 and cortisol response following bariatric surgery.

Long-term sex differences in all-cause and infection-specific mortality post hip fracture.

BACKGROUND: Mortality rates among men are double that of women in the first 2 years after hip fracture and may be related to more infections. Research has only examined differences in short-term mortality after hip fracture. Thus, the objective was to determine if long-term all-cause mortality and infection-specific mortality rates are higher in men compared to women. METHODS: Data come from a prospective cohort study (Baltimore Hip Studies 7th [BHS-7]) with up to 10.2 years of follow-up (2006-2018). The participants were selected from eight acute care hospitals in the 25-hospital BHS network. Enrolled women were frequency-matched (1:1) to men on timing of admission for hip fracture that yielded an analytic sample size of 300 participants (155 women, 145 men). Associations between sex and mortality were analyzed using Cox proportional hazard models and cause-specific Cox models adjusted for age, cognition, body mass index, pre-fracture lower extremity activities of daily living limitation, depressive symptoms, and comorbidity. RESULTS: Participants had a mean age of 80 years, 48% (n = 145) were men and the median follow-up was 4.9 (interquartile range = 2.3-8.7) years. Over the follow-up period after hospital admission for hip fracture, 237 (79.0%) participants died of all causes (132 men and 105 women) and 38 (12.7%) died of infection-specific causes (25 men and 13 women). Men had significantly higher rates of all-cause mortality [hazard ratio (HR) = 2.31(95% confidence interval [CI] 2.02-2.59)] and infection-specific mortality (HR = 4.43, CI 2.07-9.51) compared to women. CONCLUSIONS: Men had a two-fold higher rate of all-cause mortality and four-fold higher rate of infection-specific mortality compared to women over a follow-up period of up to 10.2 years. Findings suggest that interventions to prevent and treat infections, tailored by sex, may be needed to narrow significant differences in long-term mortality rates between men and women after hip fracture.

Sex Differences in Recovery Across Multiple Domains Among Older Adults With Hip Fracture.

BACKGROUND: Hip fractures are a public health problem among older adults, but most research on recovery after hip fracture has been limited to females. With growing numbers of hip fractures among males, it is important to determine how recovery outcomes may differ between the sexes. METHODS: 168 males and 171 females were enrolled within 15 days of hospitalization with follow-up visits at 2, 6, and 12 months postadmission to assess changes in disability, physical performance, cognition, depressive symptoms, body composition, and strength, and all-cause mortality. Generalized estimating equations examined whether males and females followed identical outcome recovery assessed by the change in each outcome. RESULTS: The mean age at fracture was similar for males (80.4) and females (81.4), and males had more comorbidities (2.5 vs 1.6) than females. Males were significantly more likely to die over 12 months (hazard ratio 2.89, 95% confidence interval: 1.56-5.34). Changes in outcomes were significantly different between males and females for disability, gait speed, and depressive symptoms (p < .05). Both sexes improved from baseline to 6 months for these measures, but only males continued to improve between 6 and 12 months. There were baseline differences for most body composition measures and strength; however, there were no significant differences in change by sex. CONCLUSIONS: Findings confirm that males have higher mortality but suggest that male survivors have continued functional recovery over the 12 months compared to females. Research is needed to determine the underlying causes of these sex differences for developing future prognostic information and rehabilitative interventions.