Citations

Abstract Background In this longitudinal cohort study, we examined the socio-demographic and psychological predictors of alcohol use initiation during the COVID-19 pandemic in a sample of never alcohol users aged ≥21 prior to COVID-19. Methods Our study population consisted of 56 930 patients aged ≥21, as of 30 March 2019 were collected from a pre-COVID period of 1 year before 31 March 2020, and during-COVID, a period between 1 April 2020 and 30 March 2021. Univariable and multivariable logistic regression models were utilized to examine the roles of socio-demographic variables (gender, age, education, Area Deprivation Index and rural residence) changes in anxiety and depression severity as predictors of alcohol use initiation. Results Age, gender, race, ethnicity, education and rural status were significant predictors in multivariable analysis. A subgroup analysis showed neither anxiety nor depression had a significant association with alcohol use initiation. Conclusion Women, younger individuals, those living in a rural area and people who smoke cigarettes were more likely to initiate alcohol use during the pandemic. Our study has public health and clinical implications such as the need for targeted alcohol use screening and intervention for vulnerable individuals.

Abstract Background Although telehealth holds promise in expanding access to orthopaedic surgical care, high-speed internet connectivity remains a major limiting factor for many communities. Despite persistent federal efforts to study and address the health information technology needs of patients, there is limited information regarding the current high-speed internet landscape as it relates to access to orthopaedic surgical care. Questions/purposes (1) What is the distribution of practicing orthopaedic surgeons in the United States relative to the presence of broadband internet access? (2) What geographic, demographic, and socioeconomic factors are associated with the absence of high-speed internet and access to a local orthopaedic surgeon? Methods The Federal Communications Commission (FCC) Mapping Broadband in America interactive tool was used to determine the proportion of county residents with access to broadband-speed internet for all 3141 US counties. Data regarding the geographic distribution of orthopaedic surgeons and county-level characteristics were obtained from the 2015 Physician Compare National Downloadable File and the Area Health Resource File, respectively. The FCC mapping broadband public use files are considered the most comprehensive datasets describing high-speed internet infrastructure within the United States. The year 2015 represents the most recently available FCC data for which county-level broadband penetration estimates are available. Third-party audits of the FCC data have shown that broadband expansion has been slow over the past decade and that many large improvements have been driven by changes in the reporting methodology. Therefore, we believe the 2015 FCC data still hold relevance. The primary outcome measure was the simultaneous absence of at least 50% broadband penetration and at least one orthopaedic surgeon practicing in county limits. Statistical analyses using Kruskal-Wallis tests and multivariable logistic regression were conducted to assess for factors associated with inaccessibility to orthopaedic telehealth. All statistical tests were two-sided with a significance threshold of p < 0.05. Results In 2015, 14% (448 of 3141) of counties were considered “low access” in that they both had no orthopaedic surgeons and possessed less than 50% broadband access. A total of 4,660,559 people lived within these low-access counties, representing approximately 1.4% (4.6 million of 320.7 million) of the US population. After controlling for potential confounding variables, such as the age, sex, income level, and educational attainment, lower population density per square mile (OR 0.92 [95% confidence interval (CI) 0.90 to 0.94]; p < 0.01), a lower number of primary care physicians per 100,000 (OR 0.88 [95% CI 0.81 to 0.97]; p < 0.01), a higher unemployment level (OR 1.3 [95% CI 1.2 to 1.4]; p < 0.01), and greater number preventable hospital stays per 100,000 (OR 1.01 [95% CI 1.01 to 1.02]; p < 0.01) were associated with increased odds of being a low-access county (though the effect size of the finding was small for population density and number of primary care physicians). Stated another way, each additional person per square mile was associated with an 8% (95% CI 6% to 10%; p < 0.01) decrease in the odds of being a low-access county, and each additional percentage point of unemployment was associated with a 30% (95% CI 20% to 40%) increase in the odds of being a low-access county. Conclusion Despite the potential for telehealth programs to improve the delivery of high-quality orthopaedic surgical care, broadband internet access remains a major barrier to implementation. Until targeted investments are made to expand broadband infrastructure across the country, health systems, policymakers, and surgeon leaders must capitalize on existing federal subsidy programs, such as the lifeline or affordability connectivity initiatives, to reach unemployed patients living in economically depressed regions. The incorporation of internet access questions into clinic-based social determinants screening may facilitate the development of alternative follow-up protocols for patients unable to participate in synchronous videoconferencing. Clinical Relevance Some orthopaedic patients lack the broadband capacity necessary for telehealth visits, in which case surgeons may pursue alternative methods of follow-up such as mobile phone–based surveillance of postoperative wounds, surgical sites, and clinical symptoms.

Abstract Cirrhosis is complicated by a high rate of nosocomial infections (NIs), which result in poor outcomes and are challenging to predict using clinical variables alone. Our aim was to determine predictors of NI using admission serum metabolomics and gut microbiota in inpatients with cirrhosis. In this multicenter inpatient cirrhosis study, serum was collected on admission for liquid chromatography–mass spectrometry metabolomics, and a subset provided stool for 16SrRNA analysis. Hospital course, including NI development and death, were analyzed. Metabolomic analysis using analysis of covariance (ANCOVA) (demographics, Model for End‐Stage Liver Disease [MELD] admission score, white blood count [WBC], rifaximin, and infection status adjusted) and random forest analyses for NI development were performed. Additional values of serum metabolites over clinical variables toward NI were evaluated using logistic regression. Stool microbiota and metabolomic correlations were compared in patients with and without NI development. A total of 602 patients (231 infection admissions) were included; 101 (17%) developed NIs, which resulted in worse inpatient outcomes, including intensive care unit transfer, organ failure, and death. A total of 127 patients also gave stool samples, and 20 of these patients developed NIs. The most common NIs were spontaneous bacterial peritonitis followed by urinary tract infection, Clostridioides difficile, and pneumonia. A total of 247 metabolites were significantly altered on ANCOVA. Higher MELD scores (odds ratio, 1.05; p < 0.0001), admission infection (odds ratio, 3.54; p < 0.0001), and admission WBC (odds ratio, 1.05; p = 0.04) predicted NI (area under the curve, 0.74), which increased to 0.77 (p = 0.05) with lower 1‐linolenoyl‐glycerolphosphocholine (GPC) and 1‐stearoyl‐GPC and higher N‐acetyltryptophan and N‐acetyl isoputreanine. Commensal microbiota were lower and pathobionts were higher in those who developed NIs. Microbial–metabolite correlation networks were complex and dense in patients with NIs, especially sub‐networks centered on Ruminococcaceae and Pseudomonadaceae. NIs are common and associated with poor outcomes in cirrhosis. Admission gut microbiota in patients with NIs showed higher pathobionts and lower commensal microbiota. Microbial–metabolomic correlations were more complex, dense, and homogeneous among those who developed NIs, indicating greater linkage strength. Serum metabolites and gut microbiota on admission are associated with NI development in cirrhosis.

Nosocomial infections (NIs) in critically ill patients with cirrhosis result in higher death and transplant delisting. NIs are promoted by staff, visitors, and the environment, all of which were altered to reduce pathogen transmission after COVID-19. Two cohorts of intensive care unit patients with cirrhosis from March 2019 to February 2020 (pre-COVID, n = 234) and March 2020 to March 2021 (COVID era, n = 296) were included. We found that despite a higher admission MELD-Na, qSOFA, and WBC count and requiring a longer intensive care unit stay, COVID-era patients developed lower NIs (3% vs 10%, P < 0.001) and had higher liver transplant rates vs pre-COVID patients. COVID-era restrictions could reduce NIs in critically ill patients with cirrhosis.

Background: Olfactory identification (OI) impairment appears early in the course of Alzheimer’s disease dementia (AD), prior to detectable cognitive impairment. However, the neuroanatomical correlates of impaired OI in cognitively normal older adults (CN) and persons with mild cognitive impairment (MCI) are not fully understood. Objective: We examined the neuroanatomic correlates of OI impairment in older adults from the Atherosclerosis Risk in Communities Neurocognitive Study (ARIC-NCS). Methods: Our sample included 1,600 older adults without dementia who completed clinical assessment and structural brain imaging from 2011 to 2013. We characterized OI impairment using the 12-item Sniffin’ Sticks odor identification test (score ≤6). We used voxel-based morphometry (VBM) and region of interest (ROI) analyses to examine the neuroanatomic correlates of impaired OI in CN and MCI, after adjusting for potential confounders. Analyses were also separately stratified by race and sex. Results: In CN, OI impairment was associated with smaller amygdala gray matter (GM) volume ( p < 0.05). In MCI, OI impairment was associated with smaller GM volumes of the olfactory cortex, amygdala, entorhinal cortex, hippocampus, and insula (ps < 0.05). Differential associations were observed by sex in MCI; OI impairment was associated with lower insular GM volumes among men but not among women (p-interaction = 0.04). There were no meaningful interactions by race. Conclusion: The brain regions associated with OI impairment in individuals without dementia are specifically those regions known to be the primary targets of AD pathogenic processes. These findings highlight the potential utility of olfactory assessment in the identification and stratification of older adults at risk for AD.

Background: Lytic or malpositioned tunnels may require bone grafting during revision anterior cruciate ligament reconstruction (rACLR) surgery. Patient characteristics and effects of grafting on outcomes after rACLR are not well described. Purpose: To describe preoperative characteristics, intraoperative findings, and 2-year outcomes for patients with rACLR undergoing bone grafting procedures compared with patients with rACLR without grafting. Study Design: Cohort study; Level of evidence, 3. Methods: A total of 1234 patients who underwent rACLR were prospectively enrolled between 2006 and 2011. Baseline revision and 2-year characteristics, surgical technique, pathology, treatment, and patient-reported outcome instruments (International Knee Documentation Committee [IKDC], Knee injury and Osteoarthritis Outcome Score [KOOS], Western Ontario and McMaster Universities Osteoarthritis Index, and Marx Activity Rating Scale [Marx]) were collected, as well as subsequent surgery information, if applicable. The chi-square and analysis of variance tests were used to compare group characteristics. Results: A total of 159 patients (13%) underwent tunnel grafting—64 (5%) patients underwent 1-stage and 95 (8%) underwent 2-stage grafting. Grafting was isolated to the femur in 31 (2.5%) patients, the tibia in 40 (3%) patients, and combined in 88 patients (7%). Baseline KOOS Quality of Life (QoL) and Marx activity scores were significantly lower in the 2-stage group compared with the no bone grafting group ( P≤ .001). Patients who required 2-stage grafting had more previous ACLRs ( P < .001) and were less likely to have received a bone–patellar tendon–bone or a soft tissue autograft at primary ACLR procedure ( P≤ .021) compared with the no bone grafting group. For current rACLR, patients undergoing either 1-stage or 2-stage bone grafting were more likely to receive a bone–patellar tendon–bone allograft ( P≤ .008) and less likely to receive a soft tissue autograft ( P≤ .003) compared with the no bone grafting group. At 2-year follow-up of 1052 (85%) patients, we found inferior outcomes in the 2-stage bone grafting group (IKDC score = 68; KOOS QoL score = 44; KOOS Sport/Recreation score = 65; and Marx activity score = 3) compared with the no bone grafting group (IKDC score = 77; KOOS QoL score = 63; KOOS Sport/Recreation score = 75; and Marx activity score = 7) ( P≤ .01). The 1-stage bone graft group did not significantly differ compared with the no bone grafting group. Conclusion: Tunnel bone grafting was performed in 13% of our rACLR cohort, with 8% undergoing 2-stage surgery. Patients treated with 2-stage grafting had inferior baseline and 2-year patient-reported outcomes and activity levels compared with patients not undergoing bone grafting. Patients treated with 1-stage grafting had similar baseline and 2-year patient-reported outcomes and activity levels compared with patients not undergoing bone grafting.

Abstract Background Continuous positive airway pressure (CPAP) is a common mode of respiratory support used in neonatal intensive care units. In preterm infants, nasal CPAP (nCPAP) therapy is often delivered via soft, biocompatible nasal mask suitable for long-term direct-skin contact and held firmly against face. Limited sizes of nCPAP mask contribute to mal-fitting related complications and adverse outcomes in this fragile population. We hypothesized that custom-fit nCPAP masks will improve the fit with less skin pressure and strap tension improving efficacy and reducing complications associated with nCPAP therapy in neonates. Methods After IRB approval and informed consent we evaluated several methods to develop 3D facial models to test custom 3D nCPAP masks. These methods included camera-based photogrammetry, laser scanning and structured light scanning using a Bellus3D Face Camera Pro and iPhone X running either Bellus3D FaceApp for iPhone, or Heges application. This data was used to provide accurate 3D neonatal facial models. Using CAD software nCPAP inserts were designed to be placed between proprietary nCPAP mask and the model infant’s face. The resulted 3D designed nCPAP mask was form fitted to the model face. Subsequently, nCPAP masks were connected to a ventilator to provide CPAP and calibrated pressure sensors and co-linear tension sensors were placed to measures skin pressure and nCPAP mask strap tension. Results Photogrammetry and laser scanning were not suited to the neonatal face. However, structured light scanning techniques produced accurate 3D neonatal facial models. Individualized nCPAP mask inserts manufactured using 3D printed molds and silicon injection were effective at decreasing surface pressure and mask strap pressure in some cases by more than 50% compared to CPAP masks without inserts. Conclusions We found that readily available structured light scanning devices such as the iPhoneX are a low cost, safe, rapid, and accurate tool to develop accurate models of preterm infant facial topography. Structured light scanning developed 3D nCPAP inserts applied to commercially available CPAP masks significantly reduced skin pressure and strap tension at clinically relevant CPAP pressures when utilized on model neonatal faces. This workflow maybe useful at producing individualized nCPAP masks for neonates reducing complications due to malfit.

Abstract Aims The objective of this study is to longitudinally assess sociodemographic and psychological correlates of increased alcohol use during the coronavirus disease of 2019 (COVID-19) period among adolescents and young adults. Methods Pre-COVID period is defined as the 1-year period on or before 31 March 2020, and during-COVID period is defined as the period from 1st April 2020 to 30 March 2021. Univariable logistic regression models are used to evaluate the association of demographic characteristics, Area Deprivation Index (ADI), rurality, changes in Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder (GAD-7) scale severity, and the risk of increased alcohol consumption (binge drinking, number of drinks and drinking regularity) from pre-COVID to during-COVID period. Results and conclusion Our study found that worsened anxiety symptoms, older age, being in college and current cigarette smoking status were associated with increased alcohol use among youth during the pandemic year. Socioeconomic position (measured by ADI) and rural status were not found to be associated with increased alcohol use among adolescents and young adults.