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1.
MMWR Recomm Rep ; 72(1): 1-25, 2023 03 10.
Article in English | MEDLINE | ID: mdl-36893044

ABSTRACT

Chronic hepatitis B virus (HBV) infection can lead to substantial morbidity and mortality. Although treatment is not considered curative, antiviral treatment, monitoring, and liver cancer surveillance can reduce morbidity and mortality. Effective vaccines to prevent hepatitis B are available. This report updates and expands CDC's previously published Recommendations for Identification and Public Health Management of Persons with Chronic Hepatitis B Virus Infection (MMWR Recomm Rep 2008;57[No. RR-8]) regarding screening for HBV infection in the United States. New recommendations include hepatitis B screening using three laboratory tests at least once during a lifetime for adults aged ≥18 years. The report also expands risk-based testing recommendations to include the following populations, activities, exposures, or conditions associated with increased risk for HBV infection: persons incarcerated or formerly incarcerated in a jail, prison, or other detention setting; persons with a history of sexually transmitted infections or multiple sex partners; and persons with a history of hepatitis C virus infection. In addition, to provide increased access to testing, anyone who requests HBV testing should receive it, regardless of disclosure of risk, because many persons might be reluctant to disclose stigmatizing risks.


Subject(s)
Hepatitis B, Chronic , Hepatitis B , Hepatitis C , Adult , Humans , United States/epidemiology , Adolescent , Hepatitis B virus , Hepatitis B, Chronic/diagnosis , Hepatitis B, Chronic/epidemiology , Hepatitis B/diagnosis , Hepatitis B/epidemiology , Hepatitis B/prevention & control , Centers for Disease Control and Prevention, U.S.
2.
Hosp Pediatr ; 12(9): 760-783, 2022 09 01.
Article in English | MEDLINE | ID: mdl-35670605

ABSTRACT

OBJECTIVES: To describe coronavirus disease 2019 (COVID-19)-related pediatric hospitalizations during a period of B.1.617.2 (Δ) variant predominance and to determine age-specific factors associated with severe illness. METHODS: We abstracted data from medical charts to conduct a cross-sectional study of patients aged <21 years hospitalized at 6 United States children's hospitals from July to August 2021 for COVID-19 or with an incidental positive severe acute respiratory syndrome coronavirus 2 test. Among patients with COVID-19, we assessed factors associated with severe illness by calculating age-stratified prevalence ratios (PR). We defined severe illness as receiving high-flow nasal cannula, positive airway pressure, or invasive mechanical ventilation. RESULTS: Of 947 hospitalized patients, 759 (80.1%) had COVID-19, of whom 287 (37.8%) had severe illness. Factors associated with severe illness included coinfection with respiratory syncytial virus (RSV) (PR 3.64) and bacteria (PR 1.88) in infants; RSV coinfection in patients aged 1 to 4 years (PR 1.96); and obesity in patients aged 5 to 11 (PR 2.20) and 12 to 17 years (PR 2.48). Having ≥2 underlying medical conditions was associated with severe illness in patients aged <1 (PR 1.82), 5 to 11 (PR 3.72), and 12 to 17 years (PR 3.19). CONCLUSIONS: Among patients hospitalized for COVID-19, factors associated with severe illness included RSV coinfection in those aged <5 years, obesity in those aged 5 to 17 years, and other underlying conditions for all age groups <18 years. These findings can inform pediatric practice, risk communication, and prevention strategies, including vaccination against COVID-19.


Subject(s)
COVID-19 , Coinfection , Respiratory Syncytial Virus Infections , COVID-19/epidemiology , COVID-19/therapy , Child , Cross-Sectional Studies , Hospitalization , Humans , Infant , Obesity , Respiratory Syncytial Virus Infections/epidemiology , SARS-CoV-2 , United States/epidemiology
3.
Subst Use Misuse ; 57(5): 665-673, 2022.
Article in English | MEDLINE | ID: mdl-35240921

ABSTRACT

BACKGROUND: Hepatitis C virus (HCV) infection has been increasing among people who inject drugs (PWID), younger than 30 years, and living in rural or suburban areas. We examined injection-related behaviors of young PWID to determine factors associated with HCV infection. METHODS: From September 2013-May 2015, respondent-driven and snowball sampling were used in 3 suburban areas of Wisconsin to recruit PWID 18-29 years who reported injection drug use in the previous 12 months. Participants were tested for HCV antibody (anti-HCV) and reported injection-related behaviors/practices via self-administered computer-based survey. We calculated anti-HCV prevalence and assessed associated factors using multivariable logistic regression. RESULTS: Forty-two percent (117/280) of participants were male, 83% (231/280) were white, and median age was 23 years. Overall HCV prevalence was 33%, but HCV prevalence among males was 39%. Adjusting for age, sex, race/ethnicity, education, relationship status, insurance status and income, anti-HCV positivity was associated with higher injection frequency (> 100 times in the past six months) (aOR = 3.07; 95% Confidence Interval (95% CI): 1.72-5.45), ever shared syringes (aOR = 5.15; 95% CI: 2.52-10.51), past week/last use receptive rinse water sharing (aOR = 1.88; 95% CI: 1.06-3.33), past week/last use receptive filter sharing (aOR = 3.25; 95% CI: 1.61-6.54), reusing syringes (aOR = 1.91, 95% CI: 1.08-3.37), history of overdose (aOR = 8.82; 95% CI: 2.26-3.95), and having ever injected another PWID (aOR = 8.82; 95%CI 3.94-19.76). DISCUSSION: Anti-HCV positivity is associated with high-risk injection practices. Young PWID would benefit from access to evidence-based interventions that reduce their risk of infection, link those infected to HCV treatment, and provide education to reduce further transmission.


Subject(s)
HIV Infections , Hepatitis C , Substance Abuse, Intravenous , Adult , Cities/epidemiology , Cross-Sectional Studies , Female , HIV Infections/epidemiology , Hepacivirus , Hepatitis C/epidemiology , Humans , Male , Prevalence , Risk-Taking , Substance Abuse, Intravenous/epidemiology , Wisconsin/epidemiology , Young Adult
4.
Open Forum Infect Dis ; 9(1): ofab599, 2022 Jan.
Article in English | MEDLINE | ID: mdl-34988259

ABSTRACT

BACKGROUND: Clinical severity of coronavirus disease 2019 (COVID-19) may vary over time; trends in clinical severity at admission during the pandemic among hospitalized patients in the United States have been incompletely described, so a historical record of severity over time is lacking. METHODS: We classified 466677 hospital admissions for COVID-19 from April 2020 to April 2021 into 4 mutually exclusive severity grades based on indicators present on admission (from most to least severe): Grade 4 included intensive care unit (ICU) admission and invasive mechanical ventilation (IMV); grade 3 included non-IMV ICU and/or noninvasive positive pressure ventilation; grade 2 included diagnosis of acute respiratory failure; and grade 1 included none of the above indicators. Trends were stratified by sex, age, race/ethnicity, and comorbid conditions. We also examined severity in states with high vs low Alpha (B.1.1.7) variant burden. RESULTS: Severity tended to be lower among women, younger adults, and those with fewer comorbidities compared to their counterparts. The proportion of admissions classified as grade 1 or 2 fluctuated over time, but these less-severe grades comprised a majority (75%-85%) of admissions every month. Grades 3 and 4 consistently made up a minority of admissions (15%-25%), and grade 4 showed consistent decreases in all subgroups, including states with high Alpha variant burden. CONCLUSIONS: Clinical severity among hospitalized patients with COVID-19 has varied over time but has not consistently or markedly worsened over time. The proportion of admissions classified as grade 4 decreased in all subgroups. There was no consistent evidence of worsening severity in states with higher vs lower Alpha prevalence.

5.
MMWR Morb Mortal Wkly Rep ; 70(36): 1235-1241, 2021 Sep 10.
Article in English | MEDLINE | ID: mdl-34499626

ABSTRACT

Long-term symptoms often associated with COVID-19 (post-COVID conditions or long COVID) are an emerging public health concern that is not well understood. Prevalence of post-COVID conditions has been reported among persons who have had COVID-19 (range = 5%-80%), with differences possibly related to different study populations, case definitions, and data sources (1). Few studies of post-COVID conditions have comparisons with the general population of adults with negative test results for SARS-CoV-2, the virus that causes COVID-19, limiting ability to assess background symptom prevalence (1). CDC used a nonprobability-based Internet panel established by Porter Novelli Public Services* to administer a survey to a nationwide sample of U.S. adults aged ≥18 years to compare the prevalence of long-term symptoms (those lasting >4 weeks since onset) among persons who self-reported ever receiving a positive SARS-CoV-2 test result with the prevalence of similar symptoms among persons who reported always receiving a negative test result. The weighted prevalence of ever testing positive for SARS-CoV-2 was 22.2% (95% confidence interval [CI] = 20.6%-23.8%). Approximately two thirds of respondents who had received a positive test result experienced long-term symptoms often associated with SARS-CoV-2 infection. Compared with respondents who received a negative test result, those who received a positive test result reported a significantly higher prevalence of any long-term symptom (65.9% versus 42.9%), fatigue (22.5% versus 12.0%), change in sense of smell or taste (17.3% versus 1.7%), shortness of breath (15.5% versus 5.2%), cough (14.5% versus 4.9%), headache (13.8% versus 9.9%), and persistence (>4 weeks) of at least one initially occurring symptom (76.2% versus 69.6%). Compared with respondents who received a negative test result, a larger proportion of those who received a positive test result reported believing that receiving a COVID-19 vaccine made their long-term symptoms better (28.7% versus 15.7%). Efforts to address post-COVID conditions should include helping health care professionals recognize the most common post-COVID conditions and optimize care for patients with persisting symptoms, including messaging on potential benefits of COVID-19 vaccination.


Subject(s)
COVID-19 Testing/statistics & numerical data , COVID-19/complications , COVID-19/diagnosis , SARS-CoV-2/isolation & purification , Adolescent , Adult , Aged , COVID-19/epidemiology , Female , Humans , Male , Middle Aged , United States/epidemiology , Young Adult , Post-Acute COVID-19 Syndrome
6.
MMWR Morb Mortal Wkly Rep ; 70(27): 967-971, 2021 07 09.
Article in English | MEDLINE | ID: mdl-34237048

ABSTRACT

As of June 30, 2021, 33.5 million persons in the United States had received a diagnosis of COVID-19 (1). Although most patients infected with SARS-CoV-2, the virus that causes COVID-19, recover within a few weeks, some experience post-COVID-19 conditions. These range from new or returning to ongoing health problems that can continue beyond 4 weeks. Persons who were asymptomatic at the time of infection can also experience post-COVID-19 conditions. Data on post-COVID-19 conditions are emerging and information on rehabilitation needs among persons recovering from COVID-19 is limited. Using data acquired during January 2020-March 2021 from Select Medical* outpatient rehabilitation clinics, CDC compared patient-reported measures of health, physical endurance, and health care use between patients who had recovered from COVID-19 (post-COVID-19 patients) and patients needing rehabilitation because of a current or previous diagnosis of a neoplasm (cancer) who had not experienced COVID-19 (control patients). All patients had been referred to outpatient rehabilitation. Compared with control patients, post-COVID-19 patients had higher age- and sex-adjusted odds of reporting worse physical health (adjusted odds ratio [aOR] = 1.8), pain (aOR = 2.3), and difficulty with physical activities (aOR = 1.6). Post-COVID-19 patients also had worse physical endurance, measured by the 6-minute walk test† (6MWT) (p<0.001) compared with control patients. Among patients referred to outpatient rehabilitation, those recovering from COVID-19 had poorer physical health and functional status than those who had cancer, or were recovering from cancer but not COVID-19. Patients recovering from COVID-19 might need additional clinical support, including tailored physical and mental health rehabilitation services.


Subject(s)
Ambulatory Care Facilities , COVID-19/rehabilitation , Referral and Consultation , Adolescent , Adult , Aged , Aged, 80 and over , COVID-19/diagnosis , Case-Control Studies , Female , Humans , Male , Middle Aged , Treatment Outcome , United States , Young Adult
7.
Emerg Infect Dis ; 27(4): 1164-1168, 2021.
Article in English | MEDLINE | ID: mdl-33754981

ABSTRACT

We compared the characteristics of hospitalized and nonhospitalized patients who had coronavirus disease in Atlanta, Georgia, USA. We found that risk for hospitalization increased with a patient's age and number of concurrent conditions. We also found a potential association between hospitalization and high hemoglobin A1c levels in persons with diabetes.


Subject(s)
COVID-19 , Diabetes Mellitus , Glycated Hemoglobin/analysis , Hospitalization/statistics & numerical data , Hypertension , Obesity , Patient Care Management , Age Factors , COVID-19/epidemiology , COVID-19/psychology , COVID-19/therapy , Diabetes Mellitus/blood , Diabetes Mellitus/epidemiology , Disease Progression , Female , Georgia/epidemiology , Humans , Hypertension/drug therapy , Hypertension/epidemiology , Male , Middle Aged , Multimorbidity , Obesity/diagnosis , Obesity/epidemiology , Patient Acceptance of Health Care , Patient Care Management/methods , Patient Care Management/standards , Patient Care Management/statistics & numerical data , Risk Assessment/methods , Risk Assessment/statistics & numerical data , Risk Factors , SARS-CoV-2
8.
Open Forum Infect Dis ; 8(1): ofaa596, 2021 Jan.
Article in English | MEDLINE | ID: mdl-33537363

ABSTRACT

BACKGROUND: The epidemiological features and outcomes of hospitalized adults with coronavirus disease 2019 (COVID-19) have been described; however, the temporal progression and medical complications of disease among hospitalized patients require further study. Detailed descriptions of the natural history of COVID-19 among hospitalized patients are paramount to optimize health care resource utilization, and the detection of different clinical phenotypes may allow tailored clinical management strategies. METHODS: This was a retrospective cohort study of 305 adult patients hospitalized with COVID-19 in 8 academic and community hospitals. Patient characteristics included demographics, comorbidities, medication use, medical complications, intensive care utilization, and longitudinal vital sign and laboratory test values. We examined laboratory and vital sign trends by mortality status and length of stay. To identify clinical phenotypes, we calculated Gower's dissimilarity matrix between each patient's clinical characteristics and clustered similar patients using the partitioning around medoids algorithm. RESULTS: One phenotype of 6 identified was characterized by high mortality (49%), older age, male sex, elevated inflammatory markers, high prevalence of cardiovascular disease, and shock. Patients with this severe phenotype had significantly elevated peak C-reactive protein creatinine, D-dimer, and white blood cell count and lower minimum lymphocyte count compared with other phenotypes (P < .01, all comparisons). CONCLUSIONS: Among a cohort of hospitalized adults, we identified a severe phenotype of COVID-19 based on the characteristics of its clinical course and poor prognosis. These findings need to be validated in other cohorts, as improved understanding of clinical phenotypes and risk factors for their development could help inform prognosis and tailored clinical management for COVID-19.

9.
Clin Infect Dis ; 73(11): e4141-e4151, 2021 12 06.
Article in English | MEDLINE | ID: mdl-32971532

ABSTRACT

BACKGROUND: Coronavirus disease (COVID-19) can cause severe illness and death. Predictors of poor outcome collected on hospital admission may inform clinical and public health decisions. METHODS: We conducted a retrospective observational cohort investigation of 297 adults admitted to 8 academic and community hospitals in Georgia, United States, during March 2020. Using standardized medical record abstraction, we collected data on predictors including admission demographics, underlying medical conditions, outpatient antihypertensive medications, recorded symptoms, vital signs, radiographic findings, and laboratory values. We used random forest models to calculate adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for predictors of invasive mechanical ventilation (IMV) and death. RESULTS: Compared with age <45 years, ages 65-74 years and ≥75 years were predictors of IMV (aORs, 3.12 [95% CI, 1.47-6.60] and 2.79 [95% CI, 1.23-6.33], respectively) and the strongest predictors for death (aORs, 12.92 [95% CI, 3.26-51.25] and 18.06 [95% CI, 4.43-73.63], respectively). Comorbidities associated with death (aORs, 2.4-3.8; P < .05) included end-stage renal disease, coronary artery disease, and neurologic disorders, but not pulmonary disease, immunocompromise, or hypertension. Prehospital use vs nonuse of angiotensin receptor blockers (aOR, 2.02 [95% CI, 1.03-3.96]) and dihydropyridine calcium channel blockers (aOR, 1.91 [95% CI, 1.03-3.55]) were associated with death. CONCLUSIONS: After adjustment for patient and clinical characteristics, older age was the strongest predictor of death, exceeding comorbidities, abnormal vital signs, and laboratory test abnormalities. That coronary artery disease, but not chronic lung disease, was associated with death among hospitalized patients warrants further investigation, as do associations between certain antihypertensive medications and death.


Subject(s)
COVID-19 , Aged , Hospitalization , Humans , Middle Aged , Respiration, Artificial , Retrospective Studies , Risk Factors , SARS-CoV-2 , United States
10.
MMWR Morb Mortal Wkly Rep ; 69(18): 545-550, 2020 May 08.
Article in English | MEDLINE | ID: mdl-32379729

ABSTRACT

SARS-CoV-2, the novel coronavirus that causes coronavirus disease 2019 (COVID-19), was first detected in the United States during January 2020 (1). Since then, >980,000 cases have been reported in the United States, including >55,000 associated deaths as of April 28, 2020 (2). Detailed data on demographic characteristics, underlying medical conditions, and clinical outcomes for persons hospitalized with COVID-19 are needed to inform prevention strategies and community-specific intervention messages. For this report, CDC, the Georgia Department of Public Health, and eight Georgia hospitals (seven in metropolitan Atlanta and one in southern Georgia) summarized medical record-abstracted data for hospitalized adult patients with laboratory-confirmed* COVID-19 who were admitted during March 2020. Among 305 hospitalized patients with COVID-19, 61.6% were aged <65 years, 50.5% were female, and 83.2% with known race/ethnicity were non-Hispanic black (black). Over a quarter of patients (26.2%) did not have conditions thought to put them at higher risk for severe disease, including being aged ≥65 years. The proportion of hospitalized patients who were black was higher than expected based on overall hospital admissions. In an adjusted time-to-event analysis, black patients were not more likely than were nonblack patients to receive invasive mechanical ventilation† (IMV) or to die during hospitalization (hazard ratio [HR] = 0.63; 95% confidence interval [CI] = 0.35-1.13). Given the overrepresentation of black patients within this hospitalized cohort, it is important for public health officials to ensure that prevention activities prioritize communities and racial/ethnic groups most affected by COVID-19. Clinicians and public officials should be aware that all adults, regardless of underlying conditions or age, are at risk for serious illness from COVID-19.


Subject(s)
Coronavirus Infections/epidemiology , Coronavirus Infections/therapy , Pneumonia, Viral/epidemiology , Pneumonia, Viral/therapy , Adolescent , Adult , Black or African American/statistics & numerical data , Aged , Aged, 80 and over , COVID-19 , Cohort Studies , Comorbidity , Coronavirus Infections/ethnology , Georgia/epidemiology , Hospitalization/statistics & numerical data , Humans , Middle Aged , Pandemics , Pneumonia, Viral/ethnology , Risk Factors , Treatment Outcome , Young Adult
11.
Int J Environ Res Public Health ; 13(1): ijerph13010039, 2015 Dec 22.
Article in English | MEDLINE | ID: mdl-26703674

ABSTRACT

Worldwide, diarrheal disease is a leading cause of death affecting over 1.7 million individuals annually. Much of this can be attributed to lack of clean water, sanitation and hygiene. Nearly all of these deaths occur in countries with developing economies. This public health problem is apparent in the island of Hispaniola; the island that is shared by Haiti and the Dominican Republic. Significant gaps in income between the countries have resulted in Haitians migrating into the Dominican Republic. While there has been increased migration into the Dominican Republic, many of the neighborhoods remain segregated. A cross-sectional analysis was conducted at 49 sites in the Dominican Republic. Samples were classified as being from a Haitian neighborhood or Dominican neighborhood and analyzed for microbial contamination. Overall, Haitian neighborhoods were found to have statistically significantly higher levels of contamination of both coliform and E. coli. The odds of having E. coli contaminated water in Haitian neighborhoods are 4.25 times as high as Dominican neighborhoods. The odds of having coliform contaminated water in Haitian neighborhoods are 4.78 times as high as Dominican neighborhoods. This study provides evidence of the disparity in access to clean drinking water for Haitian immigrants and highlights the need for further investigation.


Subject(s)
Escherichia coli/isolation & purification , Health Status Disparities , Healthcare Disparities/ethnology , Urban Health/ethnology , Water Microbiology , Water Quality , Cross-Sectional Studies , Dominican Republic/epidemiology , Haiti/ethnology , Humans , Pilot Projects
12.
Interv. psicosoc. (Internet) ; 24(2): 89-95, ago. 2015. tab
Article in English | IBECS | ID: ibc-140884

ABSTRACT

Little is known about how the knowledge, attitudes, and behaviors of the public child welfare workforce influence implementation of evidence-based practice (EBP) as most research has focused on the private workforce. This paper reports on public child welfare staff knowledge, attitudes, and practices in a state implementing the EBP, SafeCare. A survey of public child welfare staff (N = 222) was conducted to assess knowledge, familiarity, and referral barriers and practices. Knowledge of and familiarity with SafeCare were low, especially among front line staff (case managers). Attitudes toward SafeCare were fairly positive, but somewhat less so than attitudes toward a standard, non-evidenced based parenting program. Case managers were significantly less likely to have made a referral (15%) than other staff (46%). Job tenure had few effects on familiarity, knowledge, attitudes, or referrals. The strongest predictors of having made referrals were familiarity with SafeCare and job position


Se sabe poco sobre cómo influyen el conocimiento, las actitudes y las conductas de los profesionales del sistema público de protección infantil en la implantación de programas basados en la evidencia (PBE), ya que gran parte de la investigación sobre este tema se ha centrado en el ámbito privado. Este artículo informa acerca de los conocimientos, las actitudes y las prácticas de un equipo público de protección infantil que lleva la implantación en un Estado de EE.UU. de un PBE (SafeCare). Se aplicó una encuesta a 222 profesionales que trabajaban en protección infantil para evaluar el conocimiento, la familiaridad y las dificulta- des y prácticas de derivación de casos. El conocimiento y la familiaridad con SafeCare® era bajo, especialmente entre profesionales de primera línea (responsables de casos). Las actitudes hacia SafeCare eran bastante positivas, pero un poco menos que las actitudes hacia un programa utilizado habitualmente y no basado en la evidencia. Los responsables de casos tenían significativamente menos posibilidades de derivar (15%) que otros profesionales (46%). La antigüedad en el trabajo influye poco en el conocimiento, las actitudes o las derivaciones al programa. Los predictores que más influyeron en el número de derivaciones a SafeCare fueron la familiaridad con el programa y el tipo de contrato laboral


Subject(s)
Child , Female , Humans , Male , Therapeutics/methods , Therapeutics/psychology , Health Knowledge, Attitudes, Practice , Evidence-Based Practice/methods , Evidence-Based Practice/statistics & numerical data , Evidence-Based Practice/trends , Parenting/psychology , Child Welfare/psychology , Child Welfare/trends , Parenting/trends , Child Health/statistics & numerical data , Child Care/methods , Child Care/psychology , Self Care/methods , Self Care/psychology
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