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Abstract Background Although recent guidance recommends early surgical debridement for native joint septic arthritis (NJSA), supporting data, particularly on long-term outcomes, remains scarce. Methods We conducted a retrospective multicenter cohort study of adults (≥18 years) with NJSA who underwent surgery across Mayo Clinic campuses between 2012 and 2021. Clinical outcomes at 1 year were assessed using a 9-level Desirability of Outcome Ranking (DOOR) scale, incorporating survival, treatment failure (relapse, reinfection, readmission, or significant surgical events), and joint recovery. Time to surgery from hospital admission was analyzed both as a continuous variable and as categories: < 1, 1–2, or ≥3 days. Results Among 268 patients, 30% underwent surgery <1 day from admission, 47% in 1–2 days, and 24% in ≥3 days. At 1 year, 57% achieved full recovery without unfavorable events (DOOR score 1), while treatment failure occurred in 34%. In unadjusted analyses, longer surgical delay was significantly associated with higher (worse) DOOR scores (per IQR increase [from 0 to 2 days], OR: 1.5; 95% CI: 1.0–2.1; P = .026), increased 1-year mortality (HR: 1.7; 95% CI: 1.1–2.6; P = .019) and treatment failure (HR: 1.5; 95% CI: 1.1–2.0; P = .007). Even after adjusting for age and Charlson comorbidity index, the association between surgical delay and treatment failure remained significant (HR: 1.5; 95% CI, 1.1–2.0; P = .016). Conclusions The finding that delayed surgical intervention is associated with an increased risk of treatment failure reinforces current expert recommendations for timely surgical management in NJSA.

Background Aortic valve stenosis (AVS) represents the most prevalent primary valvular lesion necessitating surgical intervention or transcatheter intervention in Europe and North America. Its prevalence is increasing at a rapid rate as a consequence of the ageing population. A variety of mechanical interventions are available to determine the management of AVS; however, there is currently a paucity of robust data with which to perform a comparative analysis of the efficacy of surgical aortic valve replacement (SAVR) and that of conventional stented xenograft bioprostheses (BP) or sutureless aortic valves (SAV) and transcatheter aortic valve implantation (TAVI). The present study aims to compare the effectiveness and clinical outcomes of SAVR using BP or SAV technique and TAVI in patients with severe AVS. Methods and analysis A collaboration between three cardiac surgery centres across two European countries has resulted in the conception of the Transcatheter Aortic Valve Implantation vs Surgical Aortic Valve Replacement trial. This prospective non-randomised trial is designed to evaluate the long-term outcomes of TAVI in comparison to SAVR for AVS in patients at risk of severe valve obstruction. The registry will enrol successive patients who have undergone mechanical intervention for AVS between January 2015 and December 2025. Investigators will assess the difference between replacement procedures for both the standard surgical approach and the transcatheter procedure. The principal clinical outcome under consideration will be the composite degree of all-cause mortality, ischaemic stroke or rehospitalisation at 10 years. The present study will also have a number of secondary endpoints, including all-cause mortality, followed by functional status, hospitalisation, neurocognition, physiological measures (echocardiographic assessment), adverse events and reoperation. Ethics and dissemination It is hypothesised that the nature of the trials will serve to minimise bias related to institutional volume and surgical experience. Each participating centre is required to have an aortic valve programme that enables proper follow-up and management of any late aortic events following replacement surgery for the AVS. The data collected will provide valuable insight into the comparative effectiveness of various surgical approaches, both standardised and advanced, in aortic valve surgery and TAVI. This comprehensive analysis will contribute significantly to the development of robust international guidelines. Trial registration number Clinical Trial Gov.Com. ID: NCT05261204 IRB. ID: 2022011057

Abstract RATIONALE. Significant sex-differences exist in asthma across the lifespan. Asthma prevalence and severity are greater in pre-pubescent boys compared to girls but greater in women after puberty. In women, asthma may improve after menopause when sex hormones wane. To address potential mechanisms underlying these changes, we compared the airway transcriptomics signatures of post-menopausal vs. premenopausal women. METHODS. We used bulk RNA seq data from bronchial epithelial cells from three different cohorts (SARP III, GEO-GSE85567, GEO-GSE201955) to perform a comprehensive analysis of differential gene expression and regulation. Data were combined into a meta-analysis, to compare pre-menopausal (n=114 cases with asthma, 48 controls) to post-menopausal women (n=52 cases with asthma, 13 controls). Differential gene expression between pre- and postmenopausal women was analyzed separately for asthma (Figure 1A) and control groups (not shown). Significant differentially expressed genes (DEGs) were identified by contrasting effect sizes (log fold-changes) between asthma and control groups using a Z-score interaction test. Accordingly, a scatter plot (Figure 1B) was created to represent whether differential gene expression between pre- and post-menopausal conditions is modified by disease status (asthma vs. control). The scatter plot also highlights that these findings are related to asthma per. se. and not to normal aging and menopausal transition. Pathway enrichment analysis was conducted using the differential expression data, followed by differential regulation analysis of the identified pathways. Statistical significance was assessed using a false discovery rate (FDR) threshold of 5%. RESULTS. Out of 15,468 genes that passed quality control, 19 genes were differentially expressed in bronchial epithelial cells from pre- and post-menopausal women with asthma (as compared to controls) (Figure 1A). Of these, 5 genes were down-regulated (ITLN1, POSTN, FCRL3, CCL22, PCSK6), and 14 genes were up-regulated (SPP1, S100A9, A2ML1, TNFRSF10C, CSF3R, OLFM1, C1QL2, NLRP3, HAL, PI3, RNASE1, TMEM178B, TNNI3, RNF175) when comparing pre- and post-menopausal women with asthma (Figure 1A). Of these 19 DEGs, 14 were differentially expressed in pre- as compared to post-menopausal women with asthma, but not in controls (Figure 1B). Comparing pre- to post-menopausal women with asthma, biologic pathways related to the innate and adaptive immune system activation and mitochondrial function (Electron transport Chain oxidative phosphorylation and ATP production) were both differentially regulated and expressed. CONCLUSIONS. This analysis highlights several DEGs and pathways that characterize asthma pathogenesis when comparing pre- and post-menopausal women, and emphasize the role of female sex hormones on the immune system response and mitochondrial function in asthma pathogenesis.

Abstract Rationale: MUC5B and MUC5AC are neighboring genes on chromosome 11p15 that encode the two predominant mucins secreted in the respiratory airways. Increased airway mucin concentrations and an imbalance between these two mucins drive COPD symptoms and the development of airflow obstruction or COPD, but the epigenomic regulation of this loci has not been characterized in the airways. Methods: We isolated DNA from bronchial airway brushings of 72 participants with >20 pack-years smoking history from the Subpopulations and Intermediate Outcomes Measures in COPD Study (SPIROMICS). 36 participants had GOLD-based moderate-to-severe COPD (FEV1/FVC<0.70, FEV1<80%) and 36 were without or with mild COPD. We used the Illumina Infinium Methylation EPIC BeadChip Array to assess proportion of DNA methylation (β) spanning 689,937 CpG sites. We evaluated proportional DNA methylation (β) at 96 CpG loci within a 103kB region using matrixQTL for cis-expression quantitative trait methylation (eQTM: 10kB flanks relative to MUC5AC/MUC5B) integrating bulk RNA-seq data and mQTL models integrating gene sequencing data to identify DNA variation associated with proportion eQTM methylation. Models included age, sex, BMI, clinical site, current smoking vs past smoking, total pack-years, three ancestral components of ancestry, chipset, and position. Results: We identified a top eQTM, cg00524486, marginally associated with MUC5B expression (coefficient estimate=8.75, punadjusted=0.0014, pFDR=0.065, Figure 1B). This eQTM was associated with CT scan parametric response mapping-based functional small airways disease (PRM-fSAD, beta coefficient[β]=3.64, p=0.011). We tested for DNA variation associated with methylation of this top eQTM which identified two methylation quantitative trait loci (mQTL: rs885454 [β=0.044, minor allele frequency[MAF]=0.09, pFDR=0.01], rs868902 [β=0.020, MAF=0.43, pFDR=0.08, Figure 1A) associated with cg00524486 methylation, of which the more frequent mQTL, rs868902, was marginally associated with PRM-fSAD (p=0.07) in the larger SPIROMICS cohort with MUC5B DNA sequencing data. Conclusions: This preliminary multi-omic study of the lower airway epithelium demonstrates that the expression of MUC5B is epigenetically regulated by neighboring CpG probe methylation (eQTM) represented by DNA variation (mQTL). These studies require further confirmation in a larger dataset of airway samples and support a role for epigenetic variation as a biologic contributor and biomarker of early COPD pathogenesis.

Abstract Background. Sarcopenia (i.e. skeletal muscle loss) and physical frailty are significant contributors to adverse clinical outcomes in lung cancer patients. Nutritional intake and physical activity influence skeletal muscle mass and strength. We determined the impact of lung cancer on clinical outcomes in hospitalized patients with sarcopenia, frailty, or sarcopenia+frailty. Design. The Nationwide Inpatient Sample (NIS) (years 2018-2020) from the United States was analyzed to study adult hospitalized patients with a diagnosis of lung cancer. Sarcopenia and frailty were defined by ICD10 codes that have been previously validated. Multivariate regression models were generated to determine the clinical impact of sarcopenia, frailty, or sarcopenia+frailty in patients with a diagnosis of lung cancer as compared to a general medical population (GMP) without lung cancer. Age was restricted to >40 years old for both cohorts because lung cancer is rare in those less than 40 years old. Models were adjusted for age, race, sex, and comorbidities (cardiovascular disease, anemia, coagulopathy, HIV, depression, diabetes mellitus, and COPD). Results. Compared to the GMP (n=126,099), patients with lung cancer (n=241,913) were older (mean+SD age: 69.6+10.0 vs. 67.6+13.3 years, p<0.001), and had a higher prevalence of sarcopenia (22.5% vs 9.0%, p<0.001), frailty (53.4% versus 49.8%, p<0.001), and sarcopenia+frailty (15.3% versus 6.8%, p<0.001). COPD was common and found in 52.3% of lung cancer patients and 20.2% of the GMP. In lung cancer patients, the most common medical reasons for admission were sepsis, pneumonia, and COPD exacerbation. In GMP patients, the most common medical reasons for admission were sepsis, congestive heart failure, and acute kidney injury. In lung cancer patients, frailty had the greatest association with mortality (unadj OR 3.12, 95% CI: 3.02-3.23; adj OR 3.04, 95% CI: 2.91-3.17). Sarcopenia+frailty was most associated with greater healthcare utilization including greater healthcare cost (unadj OR 1.31, 95% CI: 1.29-1.32; adj OR 1.28, 95% CI: 1.26-1.30) and length of stay (unadj OR 1.57, 95% CI: 1.55-1.58; adj OR 1.50, 95% CI: 1.48-1.52). Sarcopenia+frailty were more likely to require additional healthcare facilities upon discharge and were the least likely to be discharged to home (unadj OR 0.32, 95% CI: 0.32-0.33; adj OR 0.35, 95% CI: 0.33-0.36). (see Table 1). Conclusion. While frailty was most associated with in-hospital mortality in lung cancer patients, sarcopenia+frailty was most associated with greater healthcare utilization. Our findings highlight the need to develop targeted interventions to improve clinical outcomes in lung cancer patients with sarcopenia and/or frailty.

Abstract RATIONALE: Significant sex differences exist in the prevalence and severity of asthma across the lifespan. Asthma is more prevalent and severe in pubescent boys compared to girls but worse in girls and women after puberty. The transition to menopause brings significant reductions in estrogen and progesterone levels. In this study, we test the hypothesis that the effect of menopause on asthma prevalence and outcomes is modified by the use of female sex hormones. METHODS: We used data from nine two-year cycles (1999-2000 to 2015-2016) from NHANES to determine the association between menopause and asthma outcomes. We defined severe asthma based on GINA treatment classes 4&5. We used analytic sample weights to compute national estimates according to NHANES guidelines. Adult (age >18 years) women were considered to be menopaused if (1) they reported to be menopaused during the NHANES survey, (2) they had bilateral oophorectomy, or (3) they were ≥52 years. Weighted logistic regression analyses were used to adjust for age, race, body mass index (BMI), smoking, blood eosinophil count, female hormone therapy, and oral contraceptives. Analyses were performed using the SURVEY package in R. RESULTS: The cohorts’ clinical characteristics are listed in table 1. Compared to pre-menopause (weighted n=60,394,897), menopause (weighted n=52,364,594) was associated with higher rates of active asthma (9.2 vs. 8.9%, p=0.004) and severe asthma (5% vs. 1.8%, p<0.001), but not lifetime asthma (15.1 vs. 16.3%, p=0.063). Notably, postmenopausal women had higher BMIs (weighted median [IQR]: 28.1 [24.2-33.1] vs. 26.1 [22.6-32.1], p<0.001), longer asthma durations (weighted median [IQR]: 20.0 [7.0-41.0] vs. 15.0 [8.0-24.0], p<0.001), and lower lung functions (p<0.001) (table 1). Adjusted analysis did not show significant associations between menopause and lifetime asthma (adjusted OR, 1.074; 95% CI, 0.901-1.280), active asthma (adjusted OR, 1.072; 95% CI, 0.865-1.328), or severe asthma (adjusted OR, 1.369; 95% CI, 0.958-1.954). Interestingly, a history of female hormone therapy and oral contraceptives use was associated with a higher risk of lifetime asthma (adjusted OR, 1.191; 95% CI, 1.031-1.375 and adjusted OR, 1.287; 95% CI, 1.169-1.417 respectively). Among women with active asthma, menopause was not associated with non-severe exacerbations (adjusted OR, 1.335; 95% CI, 0.883-2.021) or with severe exacerbations requiring ER visits (adjusted OR, 1.416; 95% CI, 0.818-2.451). Conclusion: The increased prevalence of active asthma and severe asthma among menopausal women can largely be attributed to age-related changes, comorbidities, and hormone therapy use rather than menopause alone.

Abstract RATIONALE: Women are more likely to develop asthma after puberty, and their symptoms can fluctuate during the menstrual cycle, pregnancy, and menopause. Menopausal women with asthma face unique challenges, as hormonal fluctuations during this stage can impact respiratory health. About one-third of women undergo hysterectomy before age 60, with most procedures occurring before natural menopause. While half of these surgeries preserve the ovaries, the other half include oophorectomy, creating distinct hormonal environments. Despite the traditional view of the uterus as hormonally inactive, there remains a critical gap in our understanding of the potential impact of hysterectomy on respiratory health.METHODS: We used data from nine two-year cycles (1999-2000 to 2015-2016) from NHANES to determine the association between hysterectomy and asthma phenotypes. Severe asthma was defined based on GINA treatment classes 4&5. Analytic sample weights were used according to published NHANES guidelines to create national estimates. Asthma status (lifetime, active, severe) was obtained for women without (weighted n=90,348,593) or with a history of hysterectomy (weighted n=22,310,898). Weighted logistic regression analyses were used to determine the impact of hysterectomy on asthma prevalence, severity, exacerbations, and asthma-related emergency room (ER) visits adjusting for age, race, body mass index (BMI), smoking history, blood eosinophil count, a history of unilateral or bilateral oophorectomy, female hormone therapy, and oral contraceptive use. Analyses were performed using the SURVEY package in R.RESULTS: Clinical characteristics of women with and without a history of hysterectomy are listed in Table 1. Overall, hysterectomy was associated with higher asthma prevalence (18.1 vs. 15.1%) and severity (5.1 vs. 2.9%). For all women, hysterectomy was associated with a higher risk for lifetime asthma (adjusted OR, 1.262; 95% CI, 1.1079-1.477) but not for active asthma (adjusted OR, 1.146; 95% CI, 0.93-1.412) or severe asthma (adjusted OR, 0.996; 95% CI, 0.748-1.325). Interestingly, oophorectomy was associated with a higher risk for lifetime asthma (adjusted OR, 1.228; 95% CI, 1.102-1.368 for unilateral; adjusted OR, 1.232; 95% CI, 1.232-1.513 for bilateral) and active asthma (adjusted OR, 1.417; 95% CI, 1.232-1.629 for unilateral; adjusted OR, 1.507; 95% CI, 1.143-1.986 for bilateral). Among women with active asthma, hysterectomy was associated with severe exacerbations requiring ER visits (adjusted OR, 1.845; 95% CI, 1.157-2.941) but not with non-severe exacerbations (adjusted OR, 1.176; 95% CI, 0.811-1.705).CONCLUSIONS: This study highlights the influence of hysterectomy on asthma risk and severity and emphasizes the role of female hormones in asthma pathogenesis.

Abstract Introduction: The airway inflammation of asthma is characterized by immune phenotypes, often classified as Type 2 inflammation high or low. Social determinants of health (SDoH) can influence asthma risk and severity, but whether or not SDoH influence immune phenotypes is unclear. The social deprivation index (SDI) is a composite measure of seven neighborhood level characteristics: poverty level, less than 12 years of education, single parent household, living in rented housing unit, living in overcrowded housing unit, households without a car, and non-employed adults under 65 years of age. The scale of SDI ranges from 1 to 100, correlating with increasing deprivation. We hypothesized that social deprivation influences immune phenotype of asthma, and that deprivation effects vary by sex and race. Methods: Using the American Community Survey summary file spanning 2015 to 2019, we linked SDI to participant zip codes for 680 Black and White participants in the Severe Asthma Research Program (SARP), a NHLBI-multicenter network phenotyping asthma across the US from 2001-2024 (table 1). We compared SDI among the cohort by sex, race and asthma severity, and correlated SDI to superoxide dismutase (SOD) and T2-high biomarkers, such as eosinophils, IgE and Fraction of Exhaled Nitric Oxide (FENO). Results: SDI is similar across healthy and asthmatic participants (SDI: median [interquartile range]: healthy: 40 [56]; asthmatics: 51 [53], P = 0.53). When evaluated by race, SDI is significantly higher in Black asthmatics, independent of sex (SDI: Black male: 76 [4], White male: 35 [45]; P<0.0001; Black females: 77 [35], White females: 40 [45]; P<0.00010). Within SARP asthmatics, SDI shows a positive association with the T2 inflammatory markers, log IgE (R=0.13 [90%CI: 0.1, 0.2)] and log FENO (R=0.15 [90%CI: 0.1, 0.2]), while it correlates negatively with log of absolute neutrophil count (R= -0.12 [90%CI: -0.19,-0.1]). The antioxidant enzyme SOD increases with SDI (R=0.11, [90% CI: 0.04, 0.17]). Notably, within Black asthmatic males only, SDI is associated with Type 2 biomarkers, showing a positive correlation with log FENO (R=0.24 [90%CI: 0.1,0.4]) and negative correlation with log IgE levels (R= -0.25, [90% CI: -0.4, -0.1]). No association was found between SDI and eosinophils or with SOD in Black males. Conclusions: Neighborhood level social deprivation is associated with a unique asthma phenotype in Black males. Black males living at high social deprivation have a lower IgE and higher FENO, with no change in SOD activity.

Abstract Background. Sarcopenia (i.e. skeletal muscle loss) is a significant contributor to adverse clinical outcomes in patients with COPD. Nutritional intake and physical activity influence sarcopenia and frailty. There is increasing recognition that social determinants of health (SDOH) play critical roles in nutritional status. We evaluated the impact of SDOH on clinical outcomes in hospitalized patients with COPD and sarcopenia and/or frailty. Design. The Nationwide Inpatient Sample (NIS) (years 2018-2020) was analyzed to study adult hospitalized patients with a primary diagnosis of COPD (J43, J44). SDOH was defined by ICD-10 Z-codes as a composite sum of problems related to housing and economic status, unemployment, occupation, psychosocial, family, and healthcare access. Sarcopenia and frailty were defined by a composite of ICD10 codes that have been previously validated in the literature. Multivariate regression models were generated to determine the impact of sarcopenia, frailty, and sarcopenia+frailty on clinical outcomes in COPD patients, which were adjusted for age, race, sex, SDOH, and comorbidities (cardiovascular disease, anemia, coagulopathy, HIV, depression, diabetes mellitus). Results. Of the 282,164 COPD patients that were analyzed, 7254 (2.6%) had codes related to SDOH, 21,035 (7.5%) had sarcopenia, 106,995 (37.9%) had frailty, and 11,293 (4%) had both sarcopenia and frailty. The predominant SDOH code was related to housing (70.9%) followed by social environment (11.5%). SDOH codes were more prevalent in patients with sarcopenia alone (3.6%), compared with frailty (2.5%) or sarcopenia+frailty (2.6%) (p<0.001). When adjusted for demographics including age, race, and sex, SDOH was associated with greater odds of sarcopenia (adj OR 1.64, 95% CI: 1.51-1.79), frailty (adj OR 1.17, 95% CI: 1.11-1.24), and sarcopenia+frailty (adj OR 1.72; 95% CI: 1.54-1.90). COPD patients with sarcopenia+frailty had the greatest association with adverse clinical outcomes (i.e. in-hospital mortality, higher healthcare cost, and higher length of stay), followed by frailty alone, and sarcopenia alone (Table 1). Conclusion. In COPD patients, SDOH increased the odds for a diagnosis of sarcopenia, frailty, and sarcopenia+frailty. Sarcopenia+frailty had the greatest association with adverse outcomes in COPD patients, followed by frailty alone, and sarcopenia alone.