Centers For Control Research Articles

Implementation and evaluation of a SARI surveillance system in a tertiary hospital in Scotland in 2021/2022

ObjectiveTo set up and evaluate a new surveillance system for severe acute respiratory infection (SARI) in Scotland. Study designCross-sectional study and evaluation of surveillance system. MethodsThe SARI case definition comprised patients aged 16 years or over with an acute respiratory illness presentation requiring testing for influenza and SARS-CoV-2 and hospital admission. Data were collected from SARI cases by research nurses in one tertiary teaching hospital using a bespoke data collection tool from November 2021 to May 2022. Descriptive analyses of SARI cases were carried out. The following attributes of the surveillance system were evaluated according to Centers for Disease Control and Prevention (CDC) guidelines: stability, data quality, timeliness, positive predictive value, representativeness, simplicity, acceptability and flexibility. ResultsThe final surveillance dataset comprised 1163 records, with cases peaking in ISO week 50 (week ending 19/12/2021). The system produced a stable stream of surveillance data, with the proportion of SARI records with sufficient information for effective surveillance increasing from 65.4% during the first month to 87.0% over time. Similarly, the proportion where data collection was completed promptly was low initially, but increased to 50%–65% during later periods. ConclusionSARI surveillance was successfully established in one hospital, but for a national system, additional sentinel hospital sites across Scotland, with flexibility to ensure consistently high data completeness and timeliness are needed. Data collection should be automated where possible, and demands on clinicians minimised. SARI surveillance should be embedded and resourced as part of a national respiratory surveillance strategy.

Examining whether the impact of different types of interpersonal violence and mental disorders on attempted suicide is greater for bisexual women.

This national study examined whether different types of interpersonal violence and mental disorders were associated with greater risk for attempted suicide among bisexual women than heterosexual women. Data were used from participants in Wave II of the National Epidemiologic Survey on Alcohol and Related Conditions in the United States of America who identified as female and either heterosexual or bisexual (N = 19,261; 71% White). Logistic regression models tested the main and interactive effects of three types of interpersonal violence (i.e., childhood abuse, childhood neglect, or intimate partner violence [IPV]), four types of mental disorders (i.e., mood, anxiety, substance use, and posttraumatic stress) and sexual orientation (i.e., bisexual vs. heterosexual) on attempted suicide. A post hoc logistic regression also tested the main and interactive effects of four types of anxiety disorders (i.e., panic disorder, social phobia, specific phobia, and generalized anxiety disorder [GAD]) and sexual orientation on attempted suicide. Sexual orientation moderated the impact of childhood neglect, IPV, and anxiety disorders on attempted suicide. Bisexual women who experienced childhood neglect, IPV, or an anxiety disorder had 3.75, 1.43, and 6.24 greater odds, respectively, of attempted suicide, compared to heterosexual women who reported these problems. Additionally, bisexual women who had GAD had 1.66 greater odds of attempting suicide compared to heterosexual women who had GAD. Findings elucidate factors that may increase suicide risk in vulnerable populations as called for by the Centers for Disease Control and Prevention's suicide prevention strategic plan. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Sex and Racial Disparities in Proportionate Mortality of Premature Myocardial Infarction in the United States: 1999 to 2020.

The incidence of premature myocardial infarction (PMI) in women (<65 years and men <55 years) is increasing. We investigated proportionate mortality trends in PMI stratified by sex, race, and ethnicity. CDC WONDER (Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research) was queried to identify PMI deaths within the United States between 1999 and 2020, and trends in proportionate mortality of PMI were calculated using the Joinpoint regression analysis. We identified 3 017 826 acute myocardial infarction deaths, with 373 317 PMI deaths corresponding to proportionate mortality of 12.5% (men 12%, women 14%). On trend analysis, proportionate mortality of PMI increased from 10.5% in 1999 to 13.2% in 2020 (average annual percent change of 1.0 [0.8-1.2, P <0.01]) with a significant increase in women from 10% in 1999 to 17% in 2020 (average annual percent change of 2.4 [1.8-3.0, P <0.01]) and no significant change in men, 11% in 1999 to 10% in 2020 (average annual percent change of -0.2 [-0.7 to 0.3, P=0.4]). There was a significant increase in proportionate mortality in both Black and White populations, with no difference among American Indian/Alaska Native, Asian/Pacific Islander, or Hispanic people. American Indian/Alaska Natives had the highest PMI mortality with no significant change over time. Over the last 2 decades, there has been a significant increase in the proportionate mortality of PMI in women and the Black population, with persistently high PMI in American Indian/Alaska Natives, despite an overall downtrend in acute myocardial infarction-related mortality. Further research to determine the underlying cause of these differences in PMI mortality is required to improve the outcomes after acute myocardial infarction in these populations.

Draft genome sequences from 127 Legionella spp. strains isolated in water systems linked to legionellosis outbreaks.

Legionnaires' disease is a severe form of pneumonia caused by Legionella spp. bacteria. According to the European Centre for Disease Prevention and Control, problems related to this pathogen showed a significant surge in recent years, making its monitoring critical.

Minimally Invasive Blood Collection for an Mpox Serosurvey among People Experiencing Homelessness.

People experiencing homelessness (PEH) are underrepresented in public health and clinical research. Study methods that can improve participation by this group are needed. In late 2022, the Centers for Disease Control and Prevention conducted an mpox serological survey using venipuncture among PEH in San Francisco, California. Blood collection by a minimally invasive device was offered if venipuncture was not possible or preferred. Participants who had a successful blood draw using the device were asked about device acceptability. Of the 209 successful blood collections, 137 (66%) were among participants who underwent venipuncture and 72 (34%) were among participants who used the device. Use of the device increased overall blood collection participation by 53%. Participants reported high acceptability and preference for the device over venipuncture. Minimally invasive blood collection devices may increase participation and representation of PEH in serosurveys.

The Association Between Sexual Violence and Suicidal Ideation Among Transgender Women and the Role of Gender-Affirming Healthcare Providers in Seven Urban Areas in the United States, 2019 to 2020.

Transgender women are disproportionately affected by sexual violence and corresponding mental health sequelae; however, many do not access healthcare due to experiences with transphobia. This analysis evaluated the association between sexual violence and suicidal ideation and the moderating effect of having a healthcare provider (HCP) with whom transgender women were comfortable discussing gender-related issues ("gender-affirming HCP"). We analyzed cross-sectional data from the Centers for Disease Control and Prevention's National HIV Behavioral Surveillance among Transgender Women (NHBS-Trans). Transgender women were recruited using respondent-driven sampling from seven urban areas from 2019 to 2020 and participated in an HIV biobehavioral survey. This analysis was restricted to transgender women who visited a HCP in the past 12 months ("healthcare-seeking transgender women" [HSTW]) (N = 1,489). Log-linked Poisson regression models provided adjusted prevalence ratios (aPRs) and 95% confidence intervals (CIs) to estimate the association between sexual violence and suicidal ideation in the past 12 months. The interaction between sexual violence and having a gender-affirming HCP was statistically significant (p-value = .034). Among 1,489 HSTW, 225 (15.1%) experienced sexual violence and 261 (17.5%) reported suicidal ideation; 1,203 (80.8%) reported having a gender-affirming HCP. Sexual violence was associated with suicidal ideation (aPR = 2.65, 95% CI [2.08, 3.38]); the association was notably higher among those who did not have a gender-affirming HCP (aPR = 3.61, [2.17, 6.02]) than among those who did (aPR = 1.87, [1.48, 2.37]). Eliminating transphobia and promoting trauma- and violence-informed approaches in healthcare are necessary for sexual violence and suicide prevention among HSTW.

Neighborhood Social Vulnerability and Premature Cardiovascular Disease in Haiti

Higher social vulnerability is associated with premature cardiovascular disease (CVD) and mortality but is understudied in low-income countries that have both the highest magnitude of social vulnerability and a growing CVD epidemic. To evaluate the association between social vulnerability and hypertension, CVD, and CVD subtypes in Haiti as a model for similar low-income countries. This population-based cohort study used enrollment data from adults participating in the Haiti Cardiovascular Disease Cohort Study. Recruitment occurred via multistage random sampling throughout slum and urban neighborhoods in Port-au-Prince, Haiti, from March 2019 to August 2021. Data were analyzed from May 2022 to December 2023. A modified Haitian Social Vulnerability Index (SVI-H) was created following the US Centers for Disease Control and Prevention Social Vulnerability Index method. Twelve variables across the domains of socioeconomic status, household characteristics, and social and community context were included. The SVI-H was calculated for each study neighborhood block and then stratified into SVI-H quartiles (quartile 1 was the least vulnerable; quartile 4, the most vulnerable). Prevalent hypertension and total CVD, defined as heart failure (HF), stroke, transient ischemic attack (TIA), angina, or myocardial infarction (MI). Age-adjusted Poisson regression analysis yielded prevalence ratios (PRs) comparing the prevalence of hypertension, total CVD, and CVD subtypes across SVI-H quartiles. Among 2925 adults (1704 [58.3%] female; mean [SD] age, 41.9 [15.9] years), the prevalence of hypertension was 32.8% (95% CI, 31.1%-34.5%) and the prevalence of CVD was 14.7% (95% CI, 13.5%-16.0%). Hypertension prevalence ranged from 26.2% (95% CI, 23.1%-29.3%) to 38.4% (95% CI, 34.8%-42.0%) between quartiles 1 and 4, while CVD prevalence ranged from 11.1% (95% CI, 8.8%-13.3%) to 19.7% (95% CI, 16.8%-22.6%). SVI-H quartile 4 vs 1 was associated with a greater prevalence of hypertension (PR, 1.17; 95% CI, 1.02-1.34) and CVD (PR, 1.48; 95% CI, 1.16-1.89). Among CVD subtypes, SVI-H was significantly associated with HF (PR, 1.64; 95% CI, 1.23-2.18) but not with combined stroke and TIA or combined angina and MI. In urban Haiti, individuals living in neighborhoods with the highest social vulnerability had greater prevalence of hypertension and HF. Understanding CVD disparities in low-income countries is essential for targeting prevention and treatment interventions toward populations at highest risk globally.

Review of the U.S. Air Force Academy Hepatitis C Virus Screening Program to Ensure High-Value Care.

Hepatitis C virus (HCV) is primarily transmitted through blood-to-blood contact. Leading health agencies have called for the elimination of HCV as a public health threat, with universal screening considered a part of the strategy. Hepatitis C virus screening among incoming cadets and cadet candidates at the United States Air Force Academy (USAFA) was implemented in 2023. The purpose of this quality improvement project was to determine the results of this screening and the associated fiscal costs, benefits, and harms to make a recommendation for future incoming classes. The prevalence of HCV antibody positivity and confirmed HCV infections were calculated among the incoming cadets and cadet candidates at USAFA in summer 2023. Screening was conducted with a highly sensitive HCV total antibody test, and those who screened positive were further tested with a quantitative HCV polymerase chain reaction. The screening and follow-up care costs were calculated, and the potential harm of receiving a false positive notification was considered. Of the 1,360 persons screened at USAFA in 2023, no confirmed HCV infections were identified. There was one false positive on screening in the cadet population (n = 1,131) and one false positive in the cadet candidate population (n = 229). The fiscal cost of universal HCV screening upon accession of cadets and cadet candidates, including medical follow-up, was at least $5,279. The opportunity cost was minimal because blood was drawn for other mandatory programs, although screening may have caused social and psychological harm to those receiving a false positive notification. The prevalence of chronic HCV infection among incoming USAFA cadets and cadet candidates was 0%, below the population screening threshold that warrants screening, according to the Centers for Disease Control and Prevention. The harms of screening, including fiscal costs and potential psychological harm to individuals with a false positive screen, likely outweigh the benefits. We recommend against universal HCV screening in 2024 upon accession of USAFA cadets and cadet candidates.

Tuberculosis Disease Among Nonimmigrant Visa Holders Reported to US Quarantine Stations, January 2011-June 2016.

US-bound immigrants and refugees undergo a mandatory overseas medical examination that includes tuberculosis screening; this exam is not routinely required for temporary visitors applying for non-immigrant visas (NIV) to visit, work, or study in the United States. US health departments and foreign ministries of health report tuberculosis cases in travelers to Centers for Disease Control and Prevention Quarantine Stations. We reviewed cases reported to this passive surveillance system from January 2011 to June 2016. Of 1252 cases of tuberculosis in travelers reported to CDC, 114 occurred in travelers with a long-term NIV. Of these, 83 (73%) were infectious; 18 (16%) with multidrug-resistant tuberculosis (MDR TB) and one with extensively drug-resistant tuberculosis (XDR TB). We found evidence that NIV holders are diagnosed with tuberculosis disease in the United States. Given that long-term NIV holders were over-represented in this data set, despite the small proportion (4%) of overall non-immigrant admissions they represent, expanding the US overseas migration health screening program to this population might be an efficient intervention to further reduce tuberculosis in the United States.

Body Roundness Index and All-Cause Mortality Among US Adults

Obesity, especially visceral obesity, is an established risk factor associated with all-cause mortality. However, the inadequacy of conventional anthropometric measures in assessing fat distribution necessitates a more comprehensive indicator, body roundness index (BRI), to decipher its population-based characteristics and potential association with mortality risk. To evaluate the temporal trends of BRI among US noninstitutionalized civilian residents and explore its association with all-cause mortality. For this cohort study, information on a nationally representative cohort of 32 995 US adults (age ≥20 years) was extracted from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018 and NHANES Linked Mortality File, with mortality ascertained through December 31, 2019. Data were analyzed between April 1 and September 30, 2023. Biennial weighted percentage changes in BRI were calculated. Restricted cubic spline curve was used to determine optimal cutoff points for BRI. The survival outcome was all-cause mortality. Mortality data were obtained from the Centers for Disease Control and Prevention website and linked to the NHANES database using the unique subject identifier. Weibull regression model was adopted to quantify the association between BRI and all-cause mortality. Among 32 995 US adults, the mean (SD) age was 46.74 (16.92) years, and 16 529 (50.10%) were women. Mean BRI increased gradually from 4.80 (95% CI, 4.62-4.97) to 5.62 (95% CI, 5.37-5.86) from 1999 through 2018, with a biennial change of 0.95% (95% CI, 0.80%-1.09%; P < .001), and this increasing trend was more obvious among women, elderly individuals, and individuals who identified as Mexican American. After a median (IQR) follow-up of 9.98 (5.33-14.33) years, 3452 deaths (10.46% of participants) from all causes occurred. There was a U-shaped association between BRI and all-cause mortality, with the risk increased by 25% (hazard ratio, 1.25; 95% CI, 1.05-1.47) for adults with BRI less than 3.4 and by 49% (hazard ratio, 1.49; 95% CI, 1.31-1.70) for those with BRI of 6.9 or greater compared with the middle quintile of BRI of 4.5 to 5.5 after full adjustment. This national cohort study found an increasing trend of BRI during nearly 20-year period among US adults, and importantly, a U-shaped association between BRI and all-cause mortality. These findings provide evidence for proposing BRI as a noninvasive screening tool for mortality risk estimation, an innovative concept that could be incorporated into public health practice pending consistent validation in other independent cohorts.

Overdose prevention activities led by local public health departments, 2019–2023

BackgroundDrug overdose deaths in the United States increased to historic levels in recent years, with provisional estimates indicating more than 111,000 deaths in the 12 months ending July 2023. In 2019, the Centers for Disease Control and Prevention’s Division of Overdose Prevention in collaboration with the National Association of City and County Health Officials, funded local health departments (LHDs) to work on overdose prevention activities. This paper aims to: 1) describe the overdose prevention activities that LHDs implemented during the four eighteen-month funding cycles; 2) identify programmatic successes and areas of opportunity for LHDs to consider when implementing future overdose prevention activities; and to 3) inform policy considerations and future overdose prevention programming at the local level.MethodsWe used programmatic data to identify overdose prevention activities implemented by 45 LHDs. Activities were double-coded according to the social-ecological model and the U.S. Department of Health and Human Services Overdose Prevention Strategies and Guiding Principles. We analyzed final codes to identify distribution and overlap of the Strategies and Guiding Principles across the social ecological model co-occurrences.ResultsApproximately 55.9% (n=123) of the 220 overdose prevention activities that were coded took place at the community level, 32.3% (n=71) at the individual level, 8.6% (n=19) at the relationship level, and 3.2% (n=7) at the policy level. Most of the activities were coded as coordination, collaboration, and integration (n=52, 23.6%), harm reduction (n=51, 23.1%), data and evidence (n=47, 21.4%) or reducing stigma (n=24, 10.9%). Few activities were related to primary prevention (n=14, 6.4%), equity (n=14, 6.4%), recovery support (n=11, 5.0%), and evidence-based treatment (n=7, 3.2%).ConclusionsLocalities have primarily implemented activities focused on the community and individual levels, with most of these centered around coordination, collaboration, and integration; harm reduction; or data and evidence. This study identified gaps in overdose prevention for LHDs related to treatment and health equity and that more interventions should be implemented at the relationship and policy levels. Continuing these efforts is important as LHDs explore opportunities to enhance and expand their work in various strategy areas across the social ecology. Findings from this study may be used to inform localities as they design and implement future overdose prevention activities.

Preconceptional paternal obesity may increase the risk of congenital urogenital anomalies in offspring: A case-control study.

Congenital urogenital anomalies affect 4-60 per 10,000 births. Maternal obesity, along with other risk factors, is well documented as a contributing factor. However, the impact of paternal obesity on risk is unclear. Obesity is prevalent among men of reproductive age, highlighting the need for further research into the potential association between paternal obesity and offspring congenital urogenital anomalies. This study aims to determine the association between paternal obesity and the risk of congenital urogenital malformations in offspring. Case-control study conducted on 179 newborns (91 cases, 88 controls) selected from the Notre Dame des Secours-university hospital database. Cases were identified as newborns presenting at least one congenital urogenital abnormality, defined as developmental anomalies that can result in a variety of malformations affecting the kidneys, ureters, bladder, and urethra. Controls were identified as newborns without any congenital abnormalities. The exclusion criteria were maternal obesity, infections during pregnancy, chronic diseases, prematurity, growth retardation, assisted reproductive technologies for conception, substance abuse, down syndrome, and other malformations. Data were collected through phone interviews, medical records, and questionnaires. In this study, the exposure was the preconceptional paternal body mass index (BMI), which was calculated based on self-reported height and weight. According to guidelines from the US Centers for Disease Control and Prevention (CDC), individuals are considered to be in the healthy weight range if their BMI (kg/m2) is between 18.5 and<25. They are classified as overweight if their BMI is ≥ 25, obese class I if their BMI is between 30 and<35, obese class II if their BMI is between 35 and<40, and obese class III if their BMI is 40 or higher. Logistic regression analysis was employed to quantify the association between paternal obesity and urogenital conditions in offspring. Significant differences in median (minimum-maximum) paternal BMI values were noted between the cases and controls at the time of conception (cases: 27.7 (43-20.1), controls: 24.8 (40.7-19.6); p<0.0001). Logistic regression analysis confirmed that at the time of conception, compared to normal-weight fathers, overweight fathers displayed a heightened risk of offspring congenital malformations, with an odds ratio (OR) of 4.44 (95% CI=2.1-9.1). Similarly, fathers categorized as obese Class I at conception had approximately eight times higher odds (OR=8.62, 95% CI=2.91-25.52) of having offspring with urogenital conditions compared to normal-weight fathers. Additionally, fathers classified as obese Class II at conception exhibited 5.75 times higher odds (OR=5.75, 95% CI=0.96-34.44) of having offspring with urogenital conditions in comparison to normal-weight fathers. We found that the risk of urogenital malformations increased with paternal BMI during the preconceptional period. The findings suggest the importance of addressing paternal obesity in efforts to reduce the risk of urogenital congenital malformations in offspring.

Innovative house structures for malaria vector control in Nampula district, Mozambique: assessing mosquito entry prevention, indoor comfort, and community acceptance.

Insecticide-treated mosquito bed nets and indoor residual spraying are widely used for malaria vector control. However, their effectiveness can be affected by household members' habits, requiring alternative approaches toward malaria vector control. To assess the effectiveness of modified houses in preventing mosquito entry; to assess the impact of house modifications on indoor air conditions and evaluate the acceptability of modified houses in the community where the study was conducted. Five traditional and five modified houses were constructed in Nampula district, Mozambique and underwent a 90-day overnight indoor mosquito collection using Centers for Disease Control and nitride ultraviolet light traps during the rainy season. Mosquitoes were identified morphologically. Indoor temperature, relative humidity, carbon dioxide levels and wind speed were also collected. The Student's t-test was used to compare the means of the number of mosquitos and environmental factors between both house types. A binomial form of the Generalized Linear Model identified the factors associated with the community volunteer's preference for house type. Modified houses reduced the number of Anopheles by an average of 14.97 mosquitos (95% CI, 11.38-18.56, p < 0.000) and non-Anopheles by 16.66 mosquitoes (95% CI, 8.23-25.09, p < 0.000). Although fewer mosquitoes were trapped in modified houses compared to traditional ones, the modifications were more effective against Anopheles (94% reduction) than for non-Anopheles (71% reduction). The average temperature increased at 0.25°C in modified houses but was not statistically significant (95% CI, -0.62 to 0.12, p = 0.181). Community volunteers preferred modified houses due to reduced mosquito buzzing. The efficacy of modified houses including its acceptability by community, highlight its potential to lower malaria risk. Effective integration of modified houses into the vector control strategy will require raising awareness among communities about malaria risks associated with house structure and training them to modify their houses.

Demographic Disparities in Lung Cancer Mortality and Trends in the United States From 1999 Through 2020: A Population-Based CDC Database Analysis.

Lung cancer is the leading cause of cancer-related mortality in the United States and is projected to account for 127,070 deaths in 2023. Although the lung cancer mortality rate has been decreasing over the last decade, demographic disparities in mortality still exist. We sought to determine the impact of demographic factors on lung cancer mortality and trends in the United States. We queried the Centers for Disease Control and Prevention (CDC) database for mortality statistics with an underlying cause of death of lung and bronchus cancer from 1999 through 2020. Age-adjusted mortality rates (AAMR) were calculated per 100,000 people. We assessed the AAMR by demographic variables, including race, geographic density, sex, age, and US census region. Temporal trends were evaluated using Joinpoint regression software, and average annual percent change (APC) was calculated. From 1999 through 2020, lung cancer led to 3,380,830 deaths. The AAMR decreased by 55.1 to 31.8, with an associated average APC of -2.6%. In 1999, men had an AAMR almost twice as high as women, but these differences became less pronounced over time. Rural populations experienced the highest AAMR and the slowest rate of decrease compared with urban populations, who experienced the lowest AAMR and fastest decrease. Non-Hispanic Black individuals experienced the highest AAMR, with an annual decrease of -3.0%. The West experienced the fastest decrease at -3.1% annually, whereas the Midwest experienced the slowest decrease at -2.0% annually. Although the mortality rate of lung cancer has been decreasing since 1999, not all demographic groups have experienced the same rates of decrease, and disparities in outcomes are still prevalent. Vulnerable subgroups need targeted interventions, such as the incorporation of patient navigators, improved screening chest CT scan access and follow-up, and telehealth expansion, which will improve the likelihood of earlier-stage diagnoses and the potential for curative treatments.

Unpacking WHO and CDC Bottle Bioassay Methods: A Comprehensive Literature Review and Protocol Analysis Revealing Key Outcome Predictors

Background Resistance monitoring is a key element in controlling vector-borne diseases. The World Health Organization (WHO) and Centres for Disease Control and Prevention (CDC) have each developed bottle bioassay methods for determining insecticide susceptibility in mosquito vectors which are used globally. Methods This study aimed to identify variations in bottle bioassay methodologies and assess the potential impact on the data that is generated. Our approach involved a systematic examination of existing literature and protocols from WHO and CDC, with a focus on the specifics of reported methodologies, variation between versions, and reported outcomes. Building on this, we experimentally evaluated the impact of several variables on bioassay results. Results Our literature review exposed a significant inconsistency in the how bioassay methods are reported, hindering reliable interpretation of data and the ability to compare results between studies. The experimental research provided further insight by specifically identifying two key factors that influence the outcomes of bioassays: mosquito dry weight and relative humidity (RH). This finding not only advances our comprehension of these assays but also underscores the importance of establishing precisely defined methodologies for resistance monitoring. The study also demonstrates the importance of controlling bioassay variables, noting the significant influence of wing length, as an indicator of mosquito size, on mortality rates in standardized bioassays. Conclusions Generating data with improved protocol consistency and precision will not only deepen our understanding of resistance patterns but also better inform vector control measures. We call for continued research and collaboration to refine and build consensus on bioassay techniques, to help bolster the global effort against vector-borne diseases like malaria.

Clinical Outcomes After Admission of Patients With COVID-19 to Skilled Nursing Facilities

During the COVID-19 pandemic, stabilized COVID-19-positive patients were discharged to skilled nursing facilities (SNFs) to alleviate hospital crowding. These discharges generated controversy due to fears of seeding outbreaks, but there is little empirical evidence to inform policy. To assess the association between the admission to SNFs of COVID-19-positive patients and subsequent COVID-19 cases and death rates among residents. This cohort study analyzed survey data from the National Healthcare Safety Network of the Centers for Disease Control and Prevention. The cohort included SNFs in the US from June 2020 to March 2021. Exposed facilities (ie, with initial admission of COVID-19-positive patients) were matched to control facilities (ie, without initial admission of COVID-19-positive patients) in the same county and with similar preadmission case counts. Data were analyzed from June 2023 to February 2024. The week of the first observable admission of COVID-19-positive patients (defined as those previously diagnosed with COVID-19 and continued to require transmission-based precautions) during the study period. Weekly counts of new cases of COVID-19, COVID-19-related deaths, and all-cause deaths per 100 residents in the week prior to the initial admission. A stacked difference-in-differences approach was used to compare outcomes for 10 weeks before and 15 weeks after the first admission. Additional analyses examined whether outcomes differed in facilities with staff or personal protective equipment (PPE) shortages. A matched group of 264 exposed facilities and 518 control facilities was identified. Over the 15-week follow-up period, exposed SNFs had a cumulative increase of 6.94 (95% CI, 2.91-10.98) additional COVID-19 cases per 100 residents compared with control SNFs, a 31.3% increase compared with the sample mean (SD) of 22.2 (26.4). Exposed facilities experienced 2.31 (95% CI, 1.39-3.24) additional cumulative COVID-19-related deaths per 100 residents compared with control facilities, representing a 72.4% increase compared with the sample mean (SD) of 3.19 (5.5). Exposed facilities experiencing potential staff shortage and PPE shortage had larger increases in COVID-19 cases per 100 residents (additional 10.97 [95% CI, 2.76-19.19] cases and additional 14.81 [95% CI, 2.38-27.25] cases, respectively) compared with those without such shortages. This cohort study suggests that admission of COVID-19-positive patients into SNFs early in the pandemic was associated with preventable COVID-19 cases and mortality among residents, particularly in facilities with potential staff and PPE shortages. The findings speak to the importance of equipping SNFs to adhere to infection-control best practices as they continue to face COVID-19 strains and other respiratory diseases.

Screening Accuracy of BMI for Adiposity Among 8- to 19-Year-Olds.

Although the limitations of BMI have long been recognized, there are recent concerns that it is not a good screening tool for adiposity. We therefore examined the cross-sectional relation of BMI to adiposity among 6923 8- to 19-year-olds in the National Health and Nutrition Survey from 2011 through 2018. Participants were scanned with dual-energy x-ray absorptiometry. Adiposity was expressed as fat mass index (FMI, fat mass kg ÷ m2) and percentage of body fat (%fat). Lean mass was expressed as lean mass index (LMI, lean mass ÷ m2). Regression models and 2 × 2 tables were used to assess the relation of BMI to FMI, %fat, and LMI. Age and BMI accounted (R2) for 90% to 94% of the variability of FMI and LMI in each sex. Associations with %fat were weaker (R2s ∼0.70). We also examined the screening abilities of a BMI ≥ Centers for Disease Control and Prevention 95th percentile for high levels of adiposity and LMI. Cut points were chosen so that prevalences of high values of these variables would be similar to that for high BMI. Of participants with a high BMI, 88% had a high FMI, and 76% had a high %fat. Participants with a high BMI were 29 times more likely to have a high FMI than those with lower BMIs; comparable relative risks were 12 for high %fat and 14 for high LMI. Despite its limitations, a high BMI is a very good screening tool for identifying children and adolescents with elevated adiposity.

Prevalence and associated Factors of Anemia in Diabetic Patients

Introduction: Diabetes presents a significant global health challenge due to its association with a range of pathological changes, such as metabolic, cellular, and blood disturbances, that lead to long-term microvascular and macrovascular complications. Healthcare providers often underestimate anemia as a co-morbidity in diabetes, despite the wide range of prevalence estimates reported in the literature. Addressing anemia in diabetes patients early can reduce the incidence of these complications, as has been demonstrated. Aim of the study: The study aimed to estimate the prevalence of anemia and its associated factors among patients with type 2 diabetes mellitus (T2DM). Methods: This is a cross-sectional prospective study with a retrospective review of diabetic patient medical records attending family medicine clinics at four military hospitals (King Hussien Medical Center, Prince Rashed Military Hospital, Queen Aliah Military Hospital, and Prince Hashem Military Hospital) at Royal Medical Services. Adult patients over the age of 18 diagnosed with type 2 diabetes mellitus for more than one year will be included in the study. However, those patients with diseases (such as thalassemia and leukemia) or other systemic disorders (such as infectious diseases) that could result in anemia, those with acute conditions such as acute hemorrhage, those who received blood transfusions in the last three months, pregnant women, or type 1 diabetes will be excluded. Anemia will be defined as hemoglobin level &lt; 13 g/dl in men and 12g/dl in females (Harrison TR, 2011). Type 2 DM will be defined glycated hemoglobin (HbA1c &gt; 6.5%), fasting blood glucose (FBG &gt; 126 mg/dl), random blood glucose (RBG &gt; 200 mg/dl) (American Diabetes Association, 2012). Patients’ medical records will be reviewed for patient medications, duration of diabetes, diabetic complications, and glycemic control. Furthermore, to exclude any patients who have one or more of the aforementioned conditions reported in the exclusion criteria. Meanwhile, researcher will collect the following data in the clinic after patients’ agreement to participate in the study which include: age, sex, marital status, smoking status, comorbidities, anthropometric measurements including weight, height and body mass index (BMI). Moreover, patient will ask to withdraw complete blood count (CBC) blood sample which include hemoglobin, mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH) and mean corpuscular hemoglobin concentration (MCHC) for diagnosing anemia if its present. Patients will be divided into two groups based on the presence of anemia; anemic group and non-anemic group. Regarding study variables. Glycemic control will be classified into two categories based on HbA1c result (controlled diabetic group comprised those whose HbA1c level was equal to or &lt;7.5% and poorly controlled diabetic group comprised those whose HbA1c level was &gt;7.5%). Body mass index will classify according to Center of Disease Control (CDC) as follow: BMI score &lt; 18.5 Kg/m2 is underweight, 18.5–24.9 Kg/m2 is normal, 25–29.9 Kg/m2 is overweight and BMI ≥ 30 Kg/m2 is obese. The sample size will be calculated based on Cohran’s sample size formula as: n=Z2 pq /e2. Here, p will be the anticipation of anemia prevalence in the diabetic population, q=1 - p; e is an acceptable error (5%); and Z= 1.96. A simple random sampling (systematic procedure) will be used to choose patients with type 2 diabetes in order to reduce the possibility of selection bias. With this technique, we randomly choose the first subject and then select the next subjects in a periodic manner according to K (interval). K will be determined based on the sampling frame prepared by researchers divided by n. Descriptive analysis will be used with the mean (standard deviation) for normally distributed variables and the median (inter-quartile range) for highly skewed distributions. The t-test and the Mann-Whitney test will be used to compare the baseline characteristics of quantitative variables between anemic and non-anemic groups for variables with a normal and highly skewed distribution, respectively. Categorical variables will be compared between the groups using the chi-square test. Logistic regression analyses will be employed to find out how these variables are associated with anemia. The results will be given as odds ratios (ORs) with a 95% confidence interval (CI). We will select only covariates with a p-value &lt;0.20 in the univariate analysis to enter the logistic analysis.

Zika Virus Infection Knowledge and Communication Preferences Among Women of Reproductive Age in Central Brooklyn, New York: A Thematic Analysis.

The 2016 outbreak of Zika virus (ZIKV) infected millions and resulted in thousands of infants born with malformations. Though the clusters of severe birth defects resulting from this outbreak have subsided, ZIKV continues to be a concern throughout much of Latin America and the Caribbean. Travel and sexual intercourse remain the dominant transmission risk factors for women of reproductive age and their partners. This is particularly true for communities in Brooklyn, New York, that comprise large immigrant and foreign-born populations. Practitioners of public health understand little about how women at risk for ZIKV are most likely to receive information about the virus or who they trust most to provide that information. In the context of five focus group discussions, this study explored the knowledge and communication preferences of 20 women of reproductive age in Central Brooklyn. Results derived from a thematic analysis suggest that while most women are familiar with mosquitos as ZIKV vectors, knowledge of sexual transmission is considerably lower. Many respondents believe that only women who are pregnant or trying to become pregnant are at risk, and public health agencies, such as the U.S. Centers for Disease Control and Prevention, remain the most trusted sources of information. These findings can support more effective communication about the risks of ZIKV infection and other vector-borne diseases to women in New York City and similar urban communities.

Esophageal cancer in the United States: A 21-year mortality analysis (1999-2020).

e23258 Background: Esophageal cancer (EC) is the sixth leading cause of cancer-related deaths in the United States, with a mere 20% survival rate in the first five years, making it a significant public health concern. Considering the lack of comprehensive evaluations of mortality trends that are undergoing substantial transformations on a global scale, this study aims to provide an update on the mortality rates of esophageal cancer and its trends in the United States. Methods: The mortality trends among adults with EC were analyzed using data from the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiological Research (CDC WONDER) database, where EC was presented as a contributing or the underlying cause of death. Code C15 “Malignant Neoplasms of Esophagus” in the International Classification of Disease, tenth revision (ICD-10) was used to identify the data. Crude and age-adjusted mortality rates (AAMRs) per 100,000 people were extracted. Annual percent changes (APCs) in AAMRs with 95% CI were obtained using joint point regression analysis across different demographic (sex, race/ethnicity, and age) and geographic (state, urban-rural, and regional) subgroups. Results: Between 1999 and 2020, 309,725 documented deaths were attributed to esophageal cancer. The overall AAMR decreased from 1999-2020 (6.69 to 5.68). Males had higher consistently higher AAMRs than females (10.96 vs. 2.24). NH White had the highest overall AAMR (6.88), followed by NH Black (6.46), NH American Indian (4.95), Hispanic or Latino (3.31), and NH Asian or Pacific Islander (2.57). CMRs also increased with advancing age and were greatest in individuals over the age of 85 years. AAMR also varied by region (overall AAMR: Midwest: 7.18; Northeast: 6.75; South: 6.07; West: 5.76), and non-metropolitan areas had higher AAMR (non-core areas: 7.09; micropolitan areas: 7.19) than metropolitan areas (large central metropolitan areas: 5.75; large fringe areas: 6.33). The states in the upper 90th percentile of esophageal cancer-related AAMR were Vermont, District of Columbia, West Virginia, Ohio, New Hampshire, and Maine, and exhibited an approximately two-fold increase in AAMRs, compared to states falling in the lower 10th percentile. Conclusions: Over the last two decades, there has been an overall decline in mortality related to EC in the United States. However, demographic and geographic discrepancies in EC-related mortality persist, necessitating additional exploration and development of specifically directed treatments.