Regional and Demographic Disparities in Atrial Fibrillation Mortality in the USA.

BACKGROUND: Despite the burden of atrial fibrillation/flutter (AF/AFL) in the USA, an assessment of contemporary mortality trends is scarce in the literature. This study aimed to assess the temporal trends in AF/AFL deaths among US adults by age, sex, race/ethnicity, and census region from 1999 to 2020. METHODS: National mortality data was abstracted from the National Center for Health Statistics to identify decedents whose underlying cause of death was cardiovascular disease and multiple cause of death, AF/AFL. Joinpoint regression assessed mortality trends, and we calculated the average percentage changes (APC) and average annual percentage changes in mortality rates. Results were presented as effect estimates and 95% confidence intervals (95% CI). RESULTS: Between 1999 and 2020, 657,126 adults died from AF/AFL in the USA. Contemporary trends have worsened overall except among individuals from the Northeast region for whom the rates have remained stationary since 2015 (APC = 0.1; 95% CI, - 1.0, 1.1). Regional and demographic disparities were observed, with higher rates noted among younger persons below 65 years of age, women (APC = 2.1; 95% CI, 1.7, 2.5), and non-Hispanic Blacks (APC = 4.5; 95% CI, 3.9, 5.2). CONCLUSIONS: The temporal trends in AF/AFL mortality in the USA have exhibited a worsening pattern in recent years, with regional and demographic disparities. Further investigations are warranted to explore the determinants of AF/AFL mortality in the US population and identify factors that may explain the observed differences. Understanding these factors will facilitate efforts to promote improved and equitable health outcomes for the population.

Revisiting recent trends in stroke death rates, United States, 1999-2020.

BACKGROUND: Prior studies have reported a reversal or stalling of stroke mortality trends in the United States, but the literature has not been updated using recent data. A comprehensive examination of contemporary trends is crucial to informing public health intervention efforts, setting health priorities, and allocating limited health resources. This study assessed the temporal trends in stroke death rates in the United States from 1999 through 2020. METHODS: We used national mortality data from the Underlying Cause of Death files in the Centers for Disease Control and Prevention's Wide-ranging Online Data for Epidemiologic Research (WONDER). Stroke decedents were identified using the International Classification of Diseases Codes, 10th Revision- I60-I69. Crude/age-adjusted mortality rates (AAMR) were abstracted overall and by age, sex, race/ethnicity, and US census region. Joinpoint analysis and five-year simple moving averages assessed mortality trends from 1999 through 2020. Results were expressed as annual percentage changes (APC), average annual percentage changes (AAPC), and 95% confidence interval (CI). RESULTS: Stroke mortality trends declined from 1999 to 2012 but increased by 0.5% annually from 2012 through 2020. Rates increased by 1.3% per year among Non-Hispanic Blacks from 2012 to 2020, 1.7% per year among Hispanics from 2012 to 2020, and stalled among Non-Hispanic Whites (2012-2020), Asians/Pacific Islanders (2014-2020), and American Indians/Alaska Natives (2013-2020). Recent rates have stalled among females from 2012 to 2020 and increased among males at an annual rate of 0.7% during the same period. Based on age, trends have stabilized among older adults since 2012 and grew at an annual rate of 7.1% among persons <35 years and 5.2% among persons 35 to 64 years since 2018. Declining trends were sustained in the Northeastern region only, with rates stalling in the Midwest and increasing in the South and West. CONCLUSIONS: The decline in US stroke mortality trends recorded during previous decades has not been sustained in recent years. While the reasons are unclear, findings might be attributed to changes in stroke risk factors in the US population. Further research should identify social, regional, and behavioral drivers to guide medical and public health intervention efforts.

'Tis Time 'Tis Time: The Importance of Operative Time, Thoroughness, and Shakespeare in Dair Procedures in Total Joint Arthroplasty.

Background: Prosthetic joint infections (PJIs), while rare, are a devasting complication of both total joint arthroplasty (TJA). With most patients undergoing surgical treatment for PJI, options vary between one-stage or two-stage (the gold standard) procedures. Debridement, antibiotics, and implant retention (DAIR) procedures are a common, less morbid alternative to two-stage revisions, but patients undergoing DAIR procedures more often experience reinfections. This is likely in part due to non-standardized irrigation and debridement (I&D) methods within these procedures. Furthermore, DAIR procedures are often desired due to their cost effectiveness and lesser operative times, but no investigations have occurred regarding operative-time-based outcomes. This study aimed to compare reinfection incidence with procedure time in DAIR procedures. In addition, this study aimed to introduce the novel Macbeth Protocol for the I&D portion of DAIR procedures and assess its efficacy. Methods: Records of unilateral DAIR procedures for primary TJA PJI performed by arthroplasty surgeons from 2015-2022 were retrospectively reviewed for patient demographics, select medical history, body mass index (BMI), joint, microbiology, and follow-up data. In addition, a single surgeon's DAIR procedures (for primary and revision TJA) were reviewed and use of The Macbeth Protocol was noted. Results: A total of 71 patients (mean age 64.00 ± 12.81 years) who underwent unilateral DAIR were included. Patients with reinfections following their DAIR procedure had significantly (p = 0.034) lower procedure times (93.72 ± 15.01 min) compared to those without reinfections (105.87 ± 21.91 min). Twenty-two patients underwent 28 DAIR procedures by the senior author, where 11 (39.3%) DAIR procedures utilized The Macbeth Protocol. The use of this protocol did not significantly affect reinfection rate (p = 0.364). Conclusion: This study concluded that increased operative time led to less reinfections for DAIR procedures treating unilateral primary TJA PJIs. Additionally, this study introduced The Macbeth Protocol, which demonstrated promising potential as an I&D technique despite not showing statistical significance. Arthroplasty surgeons should not sacrifice patient outcomes determined by reinfection rate for decreased operative time. Level of Evidence: III.

HIV mortality trends among older adults in the United States, 1999-2020.

BACKGROUND: Despite the progress made in managing HIV, the mortality trends among older adults in the US remains understudied. The lack of evidence in this demographic hampers the ability to implement evidence-based interventions. Our aim is to analyze the trends in HIV-related mortality among US citizens aged 65 years and above by demographic characteristics such as age, gender, race/ethnicity, and census region. METHODS: We abstracted national mortality data from the underlying cause of death files in the CDC WONDER database. The ICD-10 Codes- B20-B24 were used to identify HIV deaths among US older adults from 1999 to 2020. Trends in age-adjusted mortality rate (AAMR) were assessed using a five-year simple moving average and Joinpoint analysis. Results were expressed as annual percentage changes (APC), average annual percentage changes, and 95% confidence intervals (CI). RESULTS: Between 1999 and 2020, a total of 15,694 older adults died from HIV in the US (AAMR= 1.7 per 100,000; 95% CI: 1.6 - 1.7). Overall mortality trends increased at an annual rate of 1.5% (95% CI: 1.2, 1.8) from 1999 through 2020. The trends increased among Non-Hispanic Whites, stabilized among Non-Hispanic Blacks, and decreased among Hispanics from 1999 to 2020. Further, the trends increased consistently across categories of age (65 to 74 years; 75 to 84 years), sex, and census region. CONCLUSIONS: HIV mortality among older adults in the US has risen overall from 1999 to 2020, but with varying trends by race and ethnicity. This highlights the need for enhanced public health surveillance to better understand the scope of HIV mortality among older adults and identify high-risk demographic and regional subgroups for targeted interventions. Improving timely diagnosis, managing comorbidities, and stigma surrounding HIV among older adults are crucial to reducing HIV mortality in this population.

Analysis of contemporary mortality trends in pulmonary embolism, United States, 1999-2020.

BACKGROUND: A contemporary and comprehensive examination of mortality trends in pulmonary embolism (PE) is needed for the United States (US), as previous studies were either based on preceding data or limited to specific demographic subgroups. We aimed to assess the trends in PE deaths by age, sex, race/ethnicity, and census region in the US from 1999 through 2020. METHODS: We analyzed national mortality data using the CDC WONDER database. PE deaths were identified using the ICD-10 Code- I-26. Age adjusted mortality rates (AAMR) were abstracted by age, sex, race/ethnicity, and census region. Temporal trends were assessed using five-year moving averages and Joinpoint regression models. Annual percentage changes (APC) in AAMR were estimated using Monte Carlo Permutation, and 95 % confidence intervals using the Parametric Method. RESULTS: Overall mortality trends have stabilized since 2009 (APC = 0.6; 95 % CI: -0.3, 1.6), as were trends among Non-Hispanic Whites (APC = 0.6; 95 % CI: -0.2, 1.4), Non-Hispanic Blacks (APC = 0.7; 95 % CI: -0.2, 1.6), and Hispanics (APC = 1.4; 95 % CI: -0.7, 3.6). AAMR declined by 1.7 % per year (95 % CI: -2.8, -0.7) among Asians/Pacific Islanders and by 1.4 % per year (95 % CI: -2.8, -0.0) among American Indians/Alaska Natives, from 1999 to 2020. Contemporary trends have increased among males (APC = 1.0; 95 % CI: 0.2, 1.9), persons below 65 years of age (APC = 18.6; 95 % CI: 18.6, 18.6; APC = 2.3; 95 % CI: 1.4, 3.1), and persons from the Northeastern (APC = 1.0; 95 % CI: 0.1, 2.0) and Western regions (APC = 1.6; 95 % CI: 0.7, 2.6). CONCLUSIONS: The decline in PE mortality recorded from 1999 through the mid-2000s has not been sustained in the last decade-overall trends have stabilized since 2009. However, there were differences by age, sex, race/ethnicity, and the US census region, with some subgroups demonstrating stationary, increasing, or declining trends. Further studies should examine the drivers of differential trends in the US population to inform evidence-based and culturally competent public health intervention efforts.

Whole-body phase angle correlates with pre-operative markers in total joint arthroplasty.

Background: Bioimpedance derived whole body phase angle (ϕ), a measure of cellular integrity, has been identified as an independent marker of morbidity and mortality in many medical and surgical specialties. While similar measures of water homeostasis like extracellular edema (EE) have been associated with pre-operative risk, ϕ has not been studied in orthopaedics, despite potential to serve as a pre-operative marker. This study aims to identify relationships between ϕ, EE, and body composition metrics, laboratory values, patient reported outcomes, and comorbidities. Methods: Multi-frequency bioimpedance analysis (BIA) records, laboratory values, and patient reported outcomes of adult patients presenting to an academic arthroplasty clinic were retrospectively reviewed. Correlation coefficients between ϕ, EE, and reviewed information were conducted. Results: ϕ was significantly correlated (p<0.001) most positively with measures of lean tissue such as skeletal muscle mass (r=0.48), appendicular skeletal muscle index (r=0.39), lean body mass (r=0.43), and dry lean mass (r=0.47), while it held negative correlations (p<0.001) with age (r= -0.55), and body fat mass (r= -0.11). ϕ was not correlated with body mass index (BMI, p = 0.204). In contrast, EE demonstrated its strongest positive correlations (p<0.001) with body fat mass (r=0.32), age (r=0.50), and BMI (r=0.26), and its strongest negative correlations (p<0.001) with serum albumin (r= -0.37) and total protein (r= -0.23). Conclusions: Based on their associations with markers of health and fitness, BIA determined ϕ and EE demonstrate relationships to markers currently implemented in orthopaedic practice. This likely indicates that ϕ has potential as a comprehensive surrogate for several commonly used markers to quantify pre-operative risk. In the future, ϕ may aid in developing risk-stratifications for intervention and prevention of complications.

Body Composition Changes in the Immediate Peri-operative Period Following Total Joint Arthroplasty.

Background: Bioimpedance analysis (BIA) is a readily available tool to assess body composition in a clinical setting. BIA has received little attention in orthopaedics and namely joint arthroplasty. This study aims to quantify changes in body composition in the immediate peri-operative period following total joint arthroplasty. Methods: Adults scheduled for elective total joint arthroplasty were recruited to participate. Patients underwent BIA scans in the immediate peri-operative period: pre-operative on their day of surgery, post-operative day 0, and post-operative day 1. Results: 67 patients were enrolled to undergo BIA scans. Mean age was 62.64 ± 10.28 years old, and 49.2% were females. The all-supine cohort exhibited a 0.36 ± 0.61 kg increase in dry lean mass (p < 0.001) and 1.30 ± 2.14 kg increase in lean body mass on postoperative day 0 (p < 0.001). Patients received to 1.16 ± 0.58 kg of fluid mass, on average. Conclusion: BIA is a rapid, portable tool that allows for body composition analysis of an inpatient surgical population. This study demonstrated that BIA can detect net fluid changes and may approximate implant mass following total joint arthroplasty. This may aid surgeons in interpreting post-operative body composition changes.

Sex differences in the association between short sleep duration and obesity among US adults: findings from NHANES, 2015-2020.

BACKGROUND: Obesity is an important public health problem in the United States. Identifying modifiable risk factors could guide public health intervention efforts. In this study, we leveraged a nationally representative sample of the US population to examine sex differences in the association between short sleep and obesity among US adults. METHODS: Publicly available cross-sectional national data were extracted from the National Health and Nutrition Examination Survey, 2015 through 2020. A multivariable survey logistic regression model was fitted for the association between short sleep (defined as less than 7 h of sleep in 24 h) and obesity, accounting for sample stratification, clustering, and weighing. Heterogeneity was assessed using interaction terms overall and by fitting a sex-stratified model. RESULTS: A total of 15,562 persons aged 18 years and older were included in the study. The majority were non-Hispanic whites, 18-44 years of age, with at most a high school education. Short sleepers tended to be female (55.9%; 95% CI: 53.9, 57.9) while long (59.6%; 95% CI: 57.4, 61.7) and normal sleepers (51.9%; 95% CI: 50.5, 53.2) tended to be male. As compared with normal sleep duration, 7-9 h, short sleep duration was not significantly associated with obesity in the study population overall (OR = 0.95; 95% CI: 0.83-1.08) or among males (OR = 0.98; 95% CI: 0.86-1.12). However, short sleep was associated with increased odds of obesity among females (OR = 1.22; 95% CI: 1.01-1.49). CONCLUSIONS: There is sex-based heterogeneity in the association between short sleep and obesity among US adults. Further research should explore the factors responsible, and investigate the underlying mechanism.

Sex Differences in the Association Between Cannabis Use and Diabetes Mellitus among U.S. Adults: The National Health and Nutritional Examination Survey, 2013-2018.

Background: Diabetes mellitus is an important public health problem in the United States, accounting for 87,647 deaths in 2019. This study aimed to assess the association between cannabis use and diabetes mellitus by sex among U.S. adults. Methods: Data were abstracted from the National Health and Nutrition Examination Survey (NHANES) from 2013 through 2018. Cannabis use was estimated using exposure status and frequency of use. Diabetes mellitus was assessed based on physician diagnosis or laboratory results, per the American Diabetes Association guidelines. A multivariable survey logistic regression model was fitted to estimate adjusted odds ratios (aOR) and confidence intervals (95% CIs). Results: A total of 15,062 participants were included in this study. The majority were female (n=7845; 51.1%), >40 years of age (n=8564; 56.3%), non-Hispanic white (n=4873; 61.5%), with at least a college-level education (n=8239; 62.5%). Female participants who used cannabis heavily were less likely to be diagnosed with diabetes mellitus than female noncannabis users (aOR=0.49; 95% CI: 0.30-0.81; aOR=0.51; 95% CI: 0.31-0.84). However, no significant association was found for female adults who engaged in light use of cannabis (aOR=0.98; 95% CI: 0.55-1.75; aOR=1.01; 95% CI: 0.57-1.79). Among male adults, cannabis use, irrespective of the degree of exposure, was not significantly associated with diabetes mellitus (heavy users: aOR=0.89; 95% CI=0.56-1.41; light users: aOR=0.53; 95% CI=0.22-1.29). Conclusions: Heavy cannabis use is inversely associated with diabetes mellitus in females but not males. Further studies are needed to explore the sex-based heterogeneity-and individual and contextual factors responsible-in the association between cannabis use and diabetes mellitus.

Who receives influenza vaccinations at the Pharmacy? An analysis of the Texas Behavioral Risk Factor Surveillance System.

INTRODUCTION: Vaccination helps to prevent influenza infection and reduce associated costs but the influenza vaccination rate in Texas for adults between the ages of 18 to 64 years old is the lowest in the US. Pharmacies and alternative locations have been shown to help increase vaccination rates but many adults still go unvaccinated. OBJECTIVE: This research aims to determine the factors associated with obtaining influenza vaccination at the pharmacy compared to non-pharmacy locations in Texas. METHOD: This study used pooled Texas Behavior Risk Factor Surveillance System datasets (2014 to 2018) for this assessment. The main outcome variable was categorized into pharmacy and non-pharmacy vaccination locations and analyzed using a logistic regression analysis. Further statistical analysis was done using a multinomial logistic regression after re-categorizing the outcome variable into pharmacy, doctor office, and other locations. RESULT: Blacks were 63% (AOR 0.37, C.I. 0.26, 0.50) and Hispanics were 38% (AOR 0.62, C.I. 0.48, 0.80) less likely to receive influenza vaccinations at the pharmacy respectively when compared to Whites. Furthermore, those who did not live in a Metropolitan Statistical Area (MSA) were 33% (AOR 0.67, C.I 0.53, 0.84) less likely to receive influenza vaccinations at the pharmacy compared to those who lived in an MSA. While there was no observed difference in the likelihood of receiving influenza vaccination, the unemployed population were 40% (AOR 1.40, C.I 1.15, 1.71) more likely to be vaccinated in the pharmacy compared to the employed population. CONCLUSION: There is potential for increased utilization of pharmacies as a source of influenza vaccination in Texas. Racial differences exist both for receiving influenza vaccinations and being vaccinated in the pharmacy. Influenza vaccination advocacy and education efforts may be necessary to improve pharmacy-based vaccination in Texas, especially for minorities and rural-dwelling Texans.