Centers For Disease Control Research Articles

A Cross-Sectional Study of Health-Related Quality of Life in Patients with Predominantly Antibody Deficiency.

Health-related quality of life (HRQoL) measures individual well-being across physical, psychological, and social domains. Patients with predominantly antibody deficiency (PAD) are at risk for morbidity and mortality, however, the effect of these complications on HRQoL requires additional study. Patients with PAD were asked to voluntarily complete the Centers for Disease Control (CDC) HRQoL-14 Healthy Days Measure questionnaire. These results were compared to data from the CDC-initiated Behavioral Risk Factor Surveillance System (BRFSS), a cross-sectional questionnaire including questions from CDC-HRQOL-14. Statistical analyses included two-proportion Z-test, t-tests, and analysis of variance. 83 patients with PAD completed the survey. Patients were sub-stratified into mild (23.7%), moderate (35.5%), severe (40.8%), and secondary (8.4%) PAD. "Fair or poor" health status was reported in 52.6% of PAD patients. Mental health challenges ≥ 14 days/month occurred in 25% of patients. Physical health issues ≥ 14 days/month was reported in 44.7% of patients. Activity limitations were noted by 80.3% of patients. There were no statistically significant differences by PAD severity. Patients with autoinflammatory disease co-morbidities reported more mental health challenges compared to those without (78% vs. 54.3%, p = 0.02). Compared to the CDC-BRFSS data, significantly more patients with PAD reported "fair or poor" health status (53% vs 12.0%; p < 0.0001), mental health challenges (24.1% vs 14.7%; p = 0.02), and poor physical health (44.6% vs 8.0%; p < 0.0001). Patients with PAD had significantly reduced HRQoL compared to CDC-BRFSS respondents from a similar geographical region. Decreased HRQoL was prevalent across all PAD severity levels. Additional research is needed to improve HRQoL for patients with PAD.

DESCRIPTIVE CHARACTERISTICS, ETIOLOGICAL AGENTS, AND RISK FACTORS FOR MORTALITY OF URINARY TRACT INFECTIONS IN OLDER ADULTS

OBJECTIVE: Urinary tract infections are common in older adults and associated with significant morbidity and mortality. This study aimed to characterize the clinical features, bacterial etiologies, antimicrobial resistance patterns, and risk factors for mortality in elderly patients hospitalized with urinary tract infection. MATERIAL AND METHODS: Data were retrospectively analyzed from 118 patients aged ≥65 years hospitalized with a diagnosis of urinary tract infection between January 2018 and December 2022. Urinary tract infections were defined according to Centers for Disease Control and Prevention criteria. Isolated microorganisms in urine cultures and antimicrobial resistance rates were determined. Risk factors associated with mortality were evaluated by logistic regression analysis. RESULTS: 50.8% of patients were female; the mean age was 72.5±7.0 years. The most common symptoms were dysuria (65.3%), anorexia (65.3%), and flank pain (57.6%). Forty-nine patients (41.5%) had nosocomial urinary tract infections. All cause in hospital mortality was observed in 48 patients (40.6%), and 22 patients (18.6%) had in-hospital mortality directly related to urinary tract infection. Urosepsis (OR: 13.518, 95% CI: 1.711-106.793, p=0.014), kidney stones (OR: 7.529, 95% CI: 1.596-35.525, p=0.011) and urinary tract infections caused by multidrug-resistant organisms (OR: 18. 612, 95% CI: 1.564-4.283, p&amp;lt;0.001) were independent risk factors for mortality, and appropriate treatment (OR: 0.090, 95% CI: -3.736--1.085, p&amp;lt;0.001) was an independent protective factor for mortality. CONCLUSIONS: Urinary tract infections in elderly adults present with a wide range of symptoms and are predominantly caused by drug-resistant Escherichia coli. Urosepsis and kidney stones are critical determinants of mortality, emphasizing the need for rapid and appropriate management strategies. Understanding the etiology, clinical features, and mortality risk factors of urinary tract infections in elderly adults is crucial for optimizing infection management in this vulnerable population.

CDC's Laboratory Activities to Support Newborn Screening for Spinal Muscular Atrophy.

Spinal muscular atrophy (SMA) was added to the HHS Secretary's Recommended Uniform Screening Panel for newborn screening (NBS) in 2018, enabling early diagnosis and treatment of impacted infants to prevent irreversible motor neuron damage. In anticipation of supporting SMA newborn screening, scientists at the U.S. Centers for Disease Control and Prevention (CDC) have worked towards building resources for public health laboratories in four phases since 2013. In Phase 1, CDC established a real-time PCR assay, which uses a locked nucleic acid probe to attain the needed specificity, to detect SMN1 exon 7. In Phase 2, we developed quality assurance dried blood spot materials made with transduced lymphoblast cell lines established from de-identified SMA patients, carriers, and unaffected donors. In 2021, CDC implemented Phase 3, a proficiency testing program, that now supports 115 NBS labs around the world. We are currently completing Phase 4, which includes the implementation of an external SMA quality control material program. Also, during this time, CDC has provided individual technical assistance to NBS programs and bench training to NBS scientists during our annual molecular workshop. These CDC-led activities have contributed to the rapid and full implementation of SMA screening in all 50 U.S. states as of February 2024.

Neurological manifestations of ehrlichiosis among a cohort of patients: prevalence and clinical symptoms

BackgroundEhrlichiosis is a potentially fatal tick-borne disease that can progress to involve the central nervous system (CNS) (i.e., neuro-ehrlichiosis), particularly in cases where diagnosis and treatment are delayed. Despite a six-fold national increase in the incidence of ehrlichiosis over the past 20 years, recent data on the prevalence and manifestations of neuro-ehrlichiosis are lacking.MethodsWe conducted a retrospective chart review of all patients tested for ehrlichiosis at University of North Carolina Health facilities between 2018 and 2021 and identified patients who met epidemiological criteria for ehrlichiosis as established by the Council of State and Territorial Epidemiologists and employed by the Centers for Disease Control and Prevention. We estimated the prevalence of neurological symptoms and described the spectrum of neurological manifestations in acute ehrlichiosis, documenting select patient cases in more detail in a case series.ResultsOut of 55 patients with confirmed or probable ehrlichiosis, five patients (9.1%) had neurologic symptoms, which is notably lower than previous estimates. Neurological presentations were highly variable and included confusion, amnesia, seizures, focal neurological deficits mimicking ischemic vascular events, and an isolated cranial nerve palsy, though all patients had unremarkable neuroimaging at time of presentation. All but one patient had risk factors for severe ehrlichiosis (i.e., older age, immunosuppression).ConclusionsNeuro-ehrlichiosis may lack unifying patterns in clinical presentation that would otherwise aid in diagnosis. Clinicians should maintain a high index of suspicion for neuro-ehrlichiosis in patients with acute febrile illness, diverse neurological symptoms, and negative neuroimaging in lone star tick endemic regions.

Opportunities to strengthen respiratory virus surveillance systems in Australia: lessons learned from the COVID-19 response.

Disease surveillance data was critical in supporting public health decisions throughout the coronavirus disease 2019 (COVID-19) pandemic. At the same time, the unprecedented circumstances of the pandemic revealed many shortcomings of surveillance systems for viral respiratory pathogens. Strengthening of surveillance systems was identified as a priority for the recently established Australian Centre for Disease Control, which represents a critical opportunity to review pre-pandemic and pandemic surveillance practices, and to decide on future priorities, during both pandemic and inter-pandemic periods. On 20 October 2022, we ran a workshop with experts from the academic and government sectors who had contributed to the COVID-19 response in Australia on 'The role of surveillance in epidemic response', at the University of New South Wales, Sydney, Australia. Following the workshop, we developed five recommendations to strengthen respiratory virus surveillance systems in Australia, which we present here. Our recommendations are not intended to be exhaustive. We instead chose to focus on data types that are highly valuable yet typically overlooked by surveillance planners. Three of the recommendations focus on data collection activities that support the monitoring and prediction of disease impact and the effectiveness of interventions (what to measure) and two focus on surveillance methods and capabilities (how to measure). Implementation of our recommendations would enable more robust, timely, and impactful epidemic analysis.

Upsurge of Crimean-Congo Hemorrhagic Fever During Eid-Al-Adha Period 2023 in Iraq

Background: Crimean-Congo Hemorrhagic Fever (CCHF) is a tick-borne zoonotic disease. It has a case fatality rate of up to 40%. Animal sacrifices during the Eid-Al-Adha period are a common religious tradition in the country. Since 2021, Iraq has been plagued by a continuous epidemic. Objectives: To investigate the upsurge of CCHF cases during the Eid-Al-Adha period in 2023 and determine the times of high incidence and related risk factors. Methods: A cross-sectional study was conducted using data derived from the Communicable Disease Control Center in Iraq during the period from June 19 to July 30, 2023, and included all laboratory-confirmed cases during the study period. The studied variables were categorized according to before, during and after the Eid period. The chi-square test and regression analysis were used to analyze the variables. Results: CCHF cases increased during the Eid period (118, compared to 63 before and 23 after). Slaughtering activities during the Eid period increased by more than 45%. Being a butcher and participating in slaughtering activities significantly contributed to the increase in cases during the Eid period. The only significant predictor identified was the presence of slaughtering activities before and after Eid, compared to the Eid period itself. Conclusions: CCHF cases increased during the Eid-Al-Adha period, which may be due to animal sacrifice activities during this Islamic festival.

Interactions Between Forced Sexual Intercourse Victimization and Gender on Violent Behaviors: Youth Risk Behavior Survey 2017-2019.

In recent years, the United States has seen an increase in gun-related violence and school shootings. The Centers for Disease Control and Prevention (CDC) estimates that the incidence of gun carrying among high-school students has declined. Nevertheless, an examination of the underlying factors that increase the risk of violence-related behaviors is necessary to develop interventions to decrease gun use among high-school students. General Strain Theory (GST) predicts that victims of violence are (a) significantly more likely to engage in violent behaviors and (b) the increased risk of violent behavior by persons who experience violence is significantly greater among male victims. This research aims to test these predictions of the strain theory with data from the Youth Risk Behavior Survey (YRBS). To that end, it investigates whether the relationship between forced sexual intercourse victimization (FSIV) and gun or weapon carrying or physical fighting is significantly greater among male students. Using R and pooled data from the nationally representative YRBS (2017 and 2019), additive interactions were estimated according to Strengthening the Reporting of Observational Studies in Epidemiology guidelines to determine the association between FSIV and weapon carry, gun carry, or physical fighting. Multiplicative interactions and odds ratios were also estimated for comparison. Results show a high risk of gun and weapon carrying and physical fighting among both male and female students who experience FSIV and a significant relationship between FSIV and increased risk of these violence-related behaviors. Additive interactions show that the relationship between FSIV and these violent behaviors is each significantly greater among male students than female students. Results confirm the predictions of GST and show that FSIV significantly increases the risk of gun carrying and other violence-related behaviors among male and female U.S. high-school students; the increased risk is significantly greater among male students.

Bionomic characterization of Anopheles mosquitoes in the Ethiopian highlands and lowlands

BackgroundThe protective effectiveness of vector control in malaria relies on how the implemented tools overlap with mosquito species-specific compositions and bionomic traits. In Ethiopia, targeted entomological data enabling strategic decision-making are lacking around high-risk migrant worker camps in the lowlands and resident communities in the highlands—resulting in suboptimal malaria control strategies for both populations. This study investigates spatial and temporal mosquito behavior, generating baseline evidence that will improve malaria control for both migrant workers in the lowlands and their home communities in the highlands.MethodsHourly Centers for Disease Control and Prevention (CDC) light trap collections were performed indoors and outdoors during the peak (October to December 2022) and minor (March to May 2023) malaria transmission seasons. These seasons coincide with the post-long rain and post-short rain seasons, respectively. Eight resident households were sampled from each of four villages in the highlands and eight households/farm structures on and near farms in four villages in the lowlands. The sampling occurred between 18:00 and 06:00. Spatiotemporal vector behaviors and hourly indoor and outdoor mosquito capture rates, used as a proxy for human biting rates, were calculated for overall catches and for individual species. Adult mosquitoes were identified using morphological keys, and a subset of samples were confirmed to species by sequencing ribosomal DNA internal transcribed spacer region 2 (ITS2) and/or mitochondrial DNA cytochrome c oxidase subunit 1 (Cox1).ResultsIn the highlands, 4697 Anopheles mosquitoes belonging to 13 morphologically identified species were collected. The predominant species of Anopheles identified in the highlands was An. gambiae sensu lato (s.l.) (n = 1970, 41.9%), followed by An. demeilloni (n = 1133, 24.1%) and An. cinereus (n = 520, 11.0%). In the lowland villages, 3220 mosquitoes belonging to 18 morphological species were collected. Anopheles gambiae s.l. (n = 1190, 36.9%), An. pretoriensis (n = 899, 27.9%), and An. demeilloni (n = 564, 17.5%) were the predominant species. A total of 20 species were identified molecularly, of which three could not be identified to species through comparison with published sequences. In highland villages, the indoor Anopheles mosquito capture rate was much greater than the outdoor rate. This trend reversed in the lowlands, where the rate of outdoor captures was greater than the indoor rate. In both highlands and lowlands, Anopheles mosquitoes showed early biting activities in the evening, which peaked between 18:00 and 21:00, for both indoor and outdoor locations.ConclusionsThe high diversity of Anopheles vectors and their variable behaviors result in a dynamic and resilient transmission system impacting both exposure to infectious bites and intervention effectiveness. This creates gaps in protection allowing malaria transmission to persist. To achieve optimal control, one-size-fits-all strategies must be abandoned, and interventions should be tailored to the diverse spatiotemporal behaviors of different mosquito populations.Graphical

Synthetic datasets for open software development in rare disease research

BackgroundGlobally, researchers are working on projects aiming to enhance the availability of data for rare disease research. While data sharing remains critical, developing suitable methods is challenging due to the specific sensitivity and uniqueness of rare disease data. This creates a dilemma, as there is a lack of both methods and necessary data to create appropriate approaches initially. This work contributes to bridging this gap by providing synthetic datasets that can form the foundation for such developments.MethodsUsing a hierarchical data generation approach parameterised with publicly available statistics, we generated datasets reflecting a random sample of rare disease patients from the United States (US) population. General demographics were obtained from the US Census Bureau, while information on disease prevalence, initial diagnosis, survival rates as well as race and sex ratios were obtained from the information provided by the US Centers for Disease Control and Prevention as well as the scientific literature. The software, which we have named SynthMD, was implemented in Python as open source using libraries such as Faker for generating individual data points.ResultsWe generated three datasets focusing on three specific rare diseases with broad impact on US citizens, as well as differences in affected genders and racial groups: Sickle Cell Disease, Cystic Fibrosis, and Duchenne Muscular Dystrophy. We present the statistics used to generate the datasets and study the statistical properties of output data. The datasets, as well as the code used to generate them, are available as Open Data and Open Source Software.ConclusionThe results of our work can serve as a starting point for researchers and developers working on methods and platforms that aim to improve the availability of rare disease data. Potential applications include using the datasets for testing purposes during the implementation of information systems or tailored privacy-enhancing technologies.

An investigation of an outbreak of Salmonella Typhimurium infections linked to cantaloupe – United States, 2022

In 2022, the Food and Drug Administration (FDA), the Centers for Disease Control and Prevention (CDC), and state health and regulatory partners investigated an outbreak of Salmonella enterica serovar Typhimurium infections linked to cantaloupes from southwest Indiana, resulting in 87 ill persons and 32 hospitalizations reported in 11 states. Epidemiologic and traceback evidence confirmed cantaloupe as the vehicle for these infections. Based on records collected by FDA, traceback of cantaloupe exposures for 14 ill people converged on a packing house in southwest Indiana, which supplied cantaloupe to eight of the 11 points of service where ill people purchased cantaloupe. Salmonella isolates were recovered from environmental samples collected by FDA from three growers and a packing house in southwest Indiana. Whole genome sequencing analyses of these isolates found that isolates collected from one grower matched the Salmonella Typhimurium outbreak strain, and samples collected from the other two growers and the packing house matched a 2020 Salmonella Newport outbreak strain. State and federal public health and agricultural partners identified potential conditions and practices that could have possibly resulted in the contamination of cantaloupe, including the presence of Salmonella spp. in on-farm, post-harvest, and off-farm environments. This is the third outbreak of salmonellosis confirmed to be linked to melons, sourced from southwest Indiana in the last decade. The 2012, 2020, and 2022 outbreaks of reoccurring and persisting strains of Salmonella illustrate the need for additional efforts to determine the source and extent of environmental contamination in the melon growing region of southwest Indiana and for outreach and education to help promote practices to reduce contamination of melons.

Adverse Events of COVID-19 Vaccines in the United States: Temporal and Spatial Analysis.

The COVID-19 pandemic, caused by SARS-CoV-2, has had a profound impact worldwide, leading to widespread morbidity and mortality. Vaccination against COVID-19 is a critical tool in controlling the spread of the virus and reducing the severity of the disease. However, the rapid development and deployment of COVID-19 vaccines have raised concerns about potential adverse events following immunization (AEFIs). Understanding the temporal and spatial patterns of these AEFIs is crucial for an effective public health response and vaccine safety monitoring. This study aimed to analyze the temporal and spatial characteristics of AEFIs associated with COVID-19 vaccines in the United States reported to the Vaccine Adverse Event Reporting System (VAERS), thereby providing insights into the patterns and distributions of the AEFIs, the safety profile of COVID-19 vaccines, and potential risk factors associated with the AEFIs. We conducted a retrospective analysis of administration data from the Centers for Disease Control and Prevention (n=663,822,575) and reports from the surveillance system VAERS (n=900,522) between 2020 and 2022. To gain a broader understanding of postvaccination AEFIs reported, we categorized them into system organ classes (SOCs) according to the Medical Dictionary for Regulatory Activities. Additionally, we performed temporal analysis to examine the trends of AEFIs in all VAERS reports, those related to Pfizer-BioNTech and Moderna, and the top 10 AEFI trends in serious reports. We also compared the similarity of symptoms across various regions within the United States. Our findings revealed that the most frequently reported symptoms following COVID-19 vaccination were headache (n=141,186, 15.68%), pyrexia (n=122,120, 13.56%), and fatigue (n=121,910, 13.54%). The most common symptom combination was chills and pyrexia (n=56,954, 6.32%). Initially, general disorders and administration site conditions (SOC 22) were the most prevalent class reported. Moderna exhibited a higher reporting rate of AEFIs compared to Pfizer-BioNTech. Over time, we observed a decreasing reporting rate of AEFIs associated with COVID-19 vaccines. In addition, the overall rates of AEFIs between the Pfizer-BioNTech and Moderna vaccines were comparable. In terms of spatial analysis, the middle and north regions of the United States displayed a higher reporting rate of AEFIs associated with COVID-19 vaccines, while the southeast and south-central regions showed notable similarity in symptoms reported. This study provides valuable insights into the temporal and spatial patterns of AEFIs associated with COVID-19 vaccines in the United States. The findings underscore the critical need for increasing vaccination coverage, as well as ongoing surveillance and monitoring of AEFIs. Implementing targeted monitoring programs can facilitate the effective and efficient management of AEFIs, enhancing public confidence in future COVID-19 vaccine campaigns.

Development of Interoperable Computable Phenotype Algorithms for Adverse Events of Special Interest to Be Used for Biologics Safety Surveillance: Validation Study.

Adverse events associated with vaccination have been evaluated by epidemiological studies and more recently have gained additional attention with the emergency use authorization of several COVID-19 vaccines. As part of its responsibility to conduct postmarket surveillance, the US Food and Drug Administration continues to monitor several adverse events of special interest (AESIs) to ensure vaccine safety, including for COVID-19. This study is part of the Biologics Effectiveness and Safety Initiative, which aims to improve the Food and Drug Administration's postmarket surveillance capabilities while minimizing public burden. This study aimed to enhance active surveillance efforts through a rules-based, computable phenotype algorithm to identify 5 AESIs being monitored by the Center for Disease Control and Prevention for COVID-19 or other vaccines: anaphylaxis, Guillain-Barré syndrome, myocarditis/pericarditis, thrombosis with thrombocytopenia syndrome, and febrile seizure. This study examined whether these phenotypes have sufficiently high positive predictive value (PPV) to ensure that the cases selected for surveillance are reasonably likely to be a postbiologic adverse event. This allows patient privacy, and security concerns for the data sharing of patients who had nonadverse events can be properly accounted for when evaluating the cost-benefit aspect of our approach. AESI phenotype algorithms were developed to apply to electronic health record data at health provider organizations across the country by querying for standard and interoperable codes. The codes queried in the rules represent symptoms, diagnoses, or treatments of the AESI sourced from published case definitions and input from clinicians. To validate the performance of the algorithms, we applied them to electronic health record data from a US academic health system and provided a sample of cases for clinicians to evaluate. Performance was assessed using PPV. With a PPV of 93.3%, our anaphylaxis algorithm performed the best. The PPVs for our febrile seizure, myocarditis/pericarditis, thrombocytopenia syndrome, and Guillain-Barré syndrome algorithms were 89%, 83.5%, 70.2%, and 47.2%, respectively. Given our algorithm design and performance, our results support continued research into using interoperable algorithms for widespread AESI postmarket detection.

Malaria prevalence and transmission in the Zakpota sub-district of central Benin: baseline characteristics for a community randomised trial of a new insecticide for indoor residual spraying

BackgroundMalaria transmission is known to be perennial and heterogeneous in Benin. Studies assessing local malaria prevalence, transmission levels and vector characteristics are critical for designing, monitoring and evaluating new vector control interventions in community trials. We conducted a study in the Zakpota sub-district of central Benin to collect baseline data on household characteristics, malaria prevalence, vector characteristics and transmission dynamics in preparation for a randomised controlled trial to evaluate the community impact of VECTRON™ T500, a new broflanilide indoor residual spraying (IRS) product.MethodsA total of 480 children under 5 years of age from the 15 villages of the sub-district were tested for malaria by rapid diagnostic tests (RDTs). Mosquitoes were collected by human landing catches (HLCs), pyrethrum spray catches (PSCs) and Centers for Disease Control and Prevention miniature light traps (CDC-LTs) in selected houses in each village to assess vector density, composition, vector infectivity and prevalence of insecticide resistance markers. Bioassays were performed to detect vector susceptibility to pyrethroids, broflanilide (6 µg/bottle) and clothianidin (90 µg/bottle).ResultsA total of 9080 households were enumerated in the 15 study villages. Insecticide-treated net (ITN) usage was > 90%, with 1–2 ITNs owned per household. Houses were constructed mainly with cement (44%) and mud (38%) substrates or a mixture of cement and mud (18%), and 60% of them had open eaves. The overall prevalence of P. falciparum infection was 19% among surveyed children: 20% among females and 18% among males. The haemoglobin rate showed an anaemia (< 11 g/dl) prevalence of 66%. Anopheles coluzzii and An. gambiae sensu stricto (s.s.) were the two vector species present at an overall proportion of 46% versus 54%, respectively. The human biting rate was 2.3 bites per person per night (b/p/n) and biting occurred mostly indoors compared with outdoors (IRR = 0.776; P = 0.001). The overall proportion of outdoor biting was 44% and exceeded indoor biting in three villages. The sporozoite rate was 2% with a combined yearly entomological inoculation rate (EIR) of 16.1 infected bites per person per year (ib/p/y). There was great variability in malaria transmission risk across the villages, with EIR ranging from 0 to 29.3 ib/p/y. The vector population showed a high intensity of resistance to pyrethroids across the study villages but was largely susceptible to broflanilide and clothianidin.ConclusionsThis study found high levels of malaria prevalence, vector density and transmission in the Zakpota sub-district despite the wide use of insecticide-treated nets. The vector population was mostly indoor resting and showed a high intensity of pyrethroid resistance but was generally fully susceptible to broflanilide. These findings demonstrated the suitability of the study area for the assessment of VECTRON™ T500 in a community randomised trial.Graphical

Disparities in unintentional drowning fatalities in Texas, USA, 1999–2020

BackgroundDrowning is the third-leading cause of unintentional injury death worldwide. Although the USA as a whole bears a heavy burden, with approximately 4000 drowning fatalities annually, Texas stands out as...

Veteran's Health Administration HIV Care Continuum: 2019 vs 2022.

The diagnosis-based Human Immunodeficiency Virus (HIV) Care Continuum offers a well-established framework for measuring HIV care quality. It is used by the government agencies, community organizations, and health care institutions to "guide the nation's response to HIV" and assesses HIV care from the time of HIV diagnosis through viral suppression. Our objective is to present the Veteran Health Administration's (VHA) HIV Care Continuum, assess postpandemic versus prepandemic performance, and compare VHA performance to Centers for Disease Control and Prevention-published data. We conducted a nationwide retrospective cohort analysis examining the care continuum for people with HIV (PWH) in VHA care in 2019 versus 2022. Measurements included linkage to care, receipt of care, retention in care, and viral suppression. We used multivariable logistic regression of virological suppression to identify factors associated with viral suppression. In VHA in 2019, 83% of individuals newly diagnosed with HIV were linked to care, 84% of PWH received care, 76% were retained in care, and viral suppression was 76% among those with HIV and 93% of those with viral load (VL) results. In 2022, 74% were linked to care, 79% received care, 67% were retained in care, and viral suppression was 70% among those with HIV and 94% of those with a VL result. VHA has achieved >90% viral suppression among those with a VL result. Among all PWH, viral suppression decreased an absolute 5.2% between 2019 and 2022. VHA's performance on the HIV Care Continuum exceeds the national HIV Care Continuum reported by the Centers for Disease Control and Prevention.

A Framework for Response Escalation and Emergency Response Asset Management.

The Centers for Disease Control and Prevention (CDC) responds to public health emergencies at various levels within its organization. Overtime, CDC's response capabilities have matured across the organization due to years of emergency management investment and experience across the agency. In 2019, CDC began to implement the Graduated Response Framework to formalize an approach for managing public health emergencies that recognizes its response capabilities and meets the evolving needs of the country. This brief report summarizes CDC's Graduated Response Framework structure, and how response management escalates and de-escalates according to resource needs and complexity.

Higher unemployment benefits are associated with reduced drug overdose mortality in the United States before and during the COVID-19 pandemic

ObjectivesOverdose mortality rates in the United States remain critical to population health. Economic , such as unemployment, are noted risk factors for drug overdoses. The COVID-19 pandemic exacerbated economic hardship; as a result, the US government enacted income protection programs in conjunction with existing unemployment insurance (UI) to dampen COVID-19-related economic consequences. We investigate whether UI, operationalized as the weekly benefit allowance (WBA) replacement rate, is negatively associated with drug-related overdoses. MethodsData from the pooled 2014–2020 Detailed Restricted Mortality files for all counties from the Centers for Disease Control and Prevention, restricted to people ≥18 years of age, aggregated at the county-quarter level (n = 89,914). We included any fatal drug, opioid, and stimulant overdose. We modeled the association between WBA replacement rate (e.g., a greater proportion of weekly earnings replaced by UI) on each county-level age-adjusted mortality outcome using separate linear regression models during 2014–2020, pre-COVID (2014–2018), and post-COVID (2019-2020). We conducted sensitivity analyses using multi-level linear regression models. ResultsResults indicated that a more robust WBA replacement rate any drug (Risk Difference [RD]: −0.06, 95 % Confidence Interval [CI]: −0.08, −0.05), opioid (RD: −0.04, 95 % CI: −0.06, −0.03), and stimulant (RD: −0.03, 95 % CI: −0.04, −0.02) across the entire study period (2014–2020). A more robust WBA replacement rate was associated with fewer fatal drug, opioid and stimulant overdoses in the pre-COVID-19 period and on fatal any drug and stimulant overdoses in the COVID-19 period. ConclusionsFindings support the notion that income protection policies, such as robust UI, can have a supportive role in preventing fatal drug overdoses, calling for a broader discussion onthe role of the safety net programs to buffer drug-related harms.

Building Capacity of Community Health Centers to Improve the Provision of Postpartum Care Services Through Data-Driven Health Information Technology and Innovation.

Maternal morbidity and mortality remain significant challenges in the United States, with substantial burden during the postpartum period. The Centers for Disease Control and Prevention, in partnership with the National Association of Community Health Centers, began an initiative to build capacity in Federally Qualified Health Centers to (1) improve the infrastructure for perinatal care measures and (2) use perinatal care measures to identify and address gaps in postpartum care. Two partner health center-controlled networks implemented strategies to integrate evidence-based recommendations into the clinic workflow and used data-driven health information technology (HIT) systems to improve data standardization for quality improvement of postpartum care services. Ten measures were created to capture recommended care and services. To support measure capture, a data cleaning algorithm was created to prioritize defining pregnancy episodes and delivery dates and address data inconsistencies. Quality improvement activities targeted postpartum care delivery tailored to patients and care teams. Data limitations, including inconsistencies in electronic health record documentation and data extraction practices, underscored the complexity of integrating HIT solutions into postpartum care workflows. Despite challenges, the project demonstrated continuous quality improvement to support data quality for perinatal care measures. Future solutions emphasize the need for standardized data elements, collaborative care team engagement, and iterative HIT implementation strategies to enhance perinatal care quality. Our findings highlight the potential of HIT-driven interventions to improve postpartum care within health centers, with a focus on the importance of addressing data interoperability and documentation challenges to optimize and monitor initiatives to improve postpartum health outcomes.

Regional variability of cardiovascular magnetic resonance access and utilization in the United States

Clinical guidelines and scientific data increasingly support the appropriate use of cardiovascular magnetic resonance (CMR) . The extent of CMR adoption across the United States (US) remains unclear. This observational analysis aims to capture CMR practice patterns in the US. Commissioned reports from the Society for Cardiovascular Magnetic Resonance (SCMR), pre-existing survey data from CMR centers, and socioeconomic and coronary heart disease data from the Centers for Disease Control and Prevention were used. The location of imaging centers performing CMR was based on 2018 Medicare claims. Secondary analysis was performed on center-specific survey data from 2017-2019, which were collected by members of the SCMR US Advocacy Subcommittee for quality improvement purposes. The correlation between the number of imaging centers billing for CMR services per million persons, socioeconomic determinants, and coronary heart disease epidemiology was determined. A total of 591 imaging centers billed the Center for Medicare & Medicaid Services for CMR services in 2018 and 112 (of 155) unique CMR centers responded to the survey. In 2018, CMR services were available in almost all 50 states. Minnesota was the state with the highest number of CMR centers per million Medicare beneficiaries (52.6 centers per million), and Maine had the lowest (4.4 per million). The total density of CMR centers was 16 per million for US Medicare beneficiaries. Sixty-eight percent (83 of 112) of survey responders were cardiologists, and 28% (31/112) were radiologists. In 72% (71/112) of centers, academic health care systems performed 81%-100% of CMR exams. The number of high-volume centers (>500 scans per year) increased by seven between 2017 and 2019. In 2019, 53% (59/112) of centers were considered high-volume centers and had an average of 19years of experience. Centers performing <50 scans had on average 3.5years of experience. Approximate patient wait time for a CMR exam was 2weeks to 1month. Despite increasing volume and availability in almost all 50 states, CMR access remains geographically variable. Advocacy efforts to improve access and innovations that reduce imaging time and exam complexity have the potential to increase the adoption of CMR technology.

Building Partnerships Out of Barriers: Lessons Learned From Partnerships Between Centers for Independent Living and Health Departments During the COVID-19 Pandemic.

People with disabilities were left behind in the beginning of the COVID-19 vaccination rollout. More work needs to be done to connect people with disabilities to public health initiatives. Centers for Independent Living (CILs) are an important and under-utilized community partner for health departments and should be engaged as a trusted source when working to reach people with disabilities and improve access to public health programs and services. The National Foundation for the Centers for Disease Control and Prevention (CDC Foundation), through funding from the CDC, launched the Leveraging CILs to Increase Vaccine Access for People with Disabilities project. The primary goal was to increase accessibility of the COVID-19 vaccination among people with disabilities through (1) outreach and education, (2) service linkage and barrier removal through increasing accessible, (3) widespread education about the vaccine, and (4) improved partnerships between disability-led organizations and local health care providers. A grant program resulted in 39 awards distributed to CILs across the United States totaling $2 955 294.00 between November 2021 and March 2023. The project successfully resulted in reported improvements in partnerships between funded CILs and local health providers and a reported reduction in barriers to accessing vaccinations faced by people with disabilities. A suite of resources was also created to address targeted needs identified throughout partner implementation. Successful outreach to the targeted population resulted in 27 044 consumers being directly reached by CILs and 3 675 655 people reached through communication and outreach activities. Catalytic funding to disability-led organizations during public health emergency response and including people with disabilities as subject matter experts in program design can successfully strengthen access to care via trust building, message dissemination, and partnership. Building the capacity of community-based and consumer-led partners to implement evidence-based public health programming can provide a foundation for improved care for people with disabilities, particularly during an emergency response.