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1.
J Hosp Med ; 17(12): 984-989, 2022 12.
Artigo em Inglês | MEDLINE | ID: mdl-36039477

RESUMO

The disruptions of the coronavirus disease 2019 (COVID-19) pandemic impacted the delivery and utilization of healthcare services with potential long-term implications for population health and the hospital workforce. Using electronic health record data from over 700 US acute care hospitals, we documented changes in admissions to hospital service areas (inpatient, observation, emergency room [ER], and same-day surgery) during 2019-2020 and examined whether surges of COVID-19 hospitalizations corresponded with increased inpatient disease severity and death rate. We found that in 2020, hospitalizations declined by 50% in April, with greatest declines occurring in same-day surgery (-73%). The youngest patients (0-17) experienced largest declines in ER, observation, and same-day surgery admissions; inpatient admissions declined the most among the oldest patients (65+). Infectious disease admissions increased by 52%. The monthly measures of inpatient case mix index, length of stay, and non-COVID death rate were higher in all months in 2020 compared with respective months in 2019.


Assuntos
COVID-19 , Pandemias , Humanos , Hospitalização , Serviço Hospitalar de Emergência , Hospitais
2.
MMWR Morb Mortal Wkly Rep ; 70(35): 1228-1232, 2021 Sep 03.
Artigo em Inglês | MEDLINE | ID: mdl-34473684

RESUMO

Viral infections are a common cause of myocarditis, an inflammation of the heart muscle (myocardium) that can result in hospitalization, heart failure, and sudden death (1). Emerging data suggest an association between COVID-19 and myocarditis (2-5). CDC assessed this association using a large, U.S. hospital-based administrative database of health care encounters from >900 hospitals. Myocarditis inpatient encounters were 42.3% higher in 2020 than in 2019. During March 2020-January 2021, the period that coincided with the COVID-19 pandemic, the risk for myocarditis was 0.146% among patients diagnosed with COVID-19 during an inpatient or hospital-based outpatient encounter and 0.009% among patients who were not diagnosed with COVID-19. After adjusting for patient and hospital characteristics, patients with COVID-19 during March 2020-January 2021 had, on average, 15.7 times the risk for myocarditis compared with those without COVID-19 (95% confidence interval [CI] = 14.1-17.2); by age, risk ratios ranged from approximately 7.0 for patients aged 16-39 years to >30.0 for patients aged <16 years or ≥75 years. Overall, myocarditis was uncommon among persons with and without COVID-19; however, COVID-19 was significantly associated with an increased risk for myocarditis, with risk varying by age group. These findings underscore the importance of implementing evidence-based COVID-19 prevention strategies, including vaccination, to reduce the public health impact of COVID-19 and its associated complications.


Assuntos
COVID-19/complicações , Miocardite/virologia , Adolescente , Adulto , Idoso , COVID-19/epidemiologia , Bases de Dados Factuais , Feminino , Humanos , Masculino , Prontuários Médicos , Pessoa de Meia-Idade , Miocardite/epidemiologia , Medição de Risco , Fatores de Risco , Estados Unidos/epidemiologia , Adulto Jovem
3.
MMWR Morb Mortal Wkly Rep ; 70(15): 560-565, 2021 Apr 16.
Artigo em Inglês | MEDLINE | ID: mdl-33857068

RESUMO

Persons from racial and ethnic minority groups are disproportionately affected by COVID-19, including experiencing increased risk for infection (1), hospitalization (2,3), and death (4,5). Using administrative discharge data, CDC assessed monthly trends in the proportion of hospitalized patients with COVID-19 among racial and ethnic groups in the United States during March-December 2020 by U.S. Census region. Cumulative and monthly age-adjusted COVID-19 proportionate hospitalization ratios (aPHRs) were calculated for racial and ethnic minority patients relative to non-Hispanic White patients. Within each of the four U.S. Census regions, the cumulative aPHR was highest for Hispanic or Latino patients (range = 2.7-3.9). Racial and ethnic disparities in COVID-19 hospitalization were largest during May-July 2020; the peak monthly aPHR among Hispanic or Latino patients was >9.0 in the West and Midwest, >6.0 in the South, and >3.0 in the Northeast. The aPHRs declined for most racial and ethnic groups during July-November 2020 but increased for some racial and ethnic groups in some regions during December. Disparities in COVID-19 hospitalization by race/ethnicity varied by region and became less pronounced over the course of the pandemic, as COVID-19 hospitalizations increased among non-Hispanic White persons. Identification of specific social determinants of health that contribute to geographic and temporal differences in racial and ethnic disparities at the local level can help guide tailored public health prevention strategies and equitable allocation of resources, including COVID-19 vaccination, to address COVID-19-related health disparities and can inform approaches to achieve greater health equity during future public health threats.


Assuntos
COVID-19/etnologia , COVID-19/terapia , Etnicidade/estatística & dados numéricos , Disparidades nos Níveis de Saúde , Hospitalização/tendências , Grupos Raciais/estatística & dados numéricos , Adolescente , Adulto , Idoso , Geografia , Humanos , Pessoa de Meia-Idade , Determinantes Sociais da Saúde , Estados Unidos/epidemiologia , Adulto Jovem
4.
J Racial Ethn Health Disparities ; 4(2): 213-222, 2017 04.
Artigo em Inglês | MEDLINE | ID: mdl-27059052

RESUMO

OBJECTIVES: People with disabilities are known to experience disparities in behavioral health risk factors including smoking and obesity. What is unknown is how disability, race/ethnicity, and socioeconomic status combine to affect prevalence of these health behaviors. We assessed the association between race/ethnicity, socioeconomic factors (income and education), and disability on two behavioral health risk factors. METHODS: Data from the 2007-2010 Behavioral Risk Factor Surveillance System were used to determine prevalence of cigarette smoking and obesity by disability status, further stratified by race and ethnicity as well as income and education. Logistic regression was used to determine associations of income and education with the two behavioral health risk factors, stratified by race and ethnicity. RESULTS: Prevalence of disability by race and ethnicity ranged from 10.1 % of Asian adults to 31.0 % of American Indian/Alaska Native (AIAN) adults. Smoking prevalence increased with decreasing levels of income and education for most racial and ethnic groups, with over half of white (52.4 %) and AIAN adults (59.3 %) with less than a high school education reporting current smoking. Education was inversely associated with obesity among white, black, and Hispanic adults with a disability. CONCLUSION: Smoking and obesity varied by race and ethnicity and socioeconomic factors (income and education) among people with disabilities. Our findings suggest that disparities experienced by adults with disabilities may be compounded by disparities associated with race, ethnicity, and socioeconomic factors. This knowledge may help programs in formulating health promotion strategies targeting people at increased risk for smoking and obesity, inclusive of those with disabilities.


Assuntos
Pessoas com Deficiência/estatística & dados numéricos , Escolaridade , Etnicidade/estatística & dados numéricos , Renda/estatística & dados numéricos , Obesidade/etnologia , Fumar/etnologia , Adolescente , Adulto , Negro ou Afro-Americano , Idoso , Asiático , Feminino , Comportamentos de Risco à Saúde , Hispânico ou Latino , Humanos , Indígenas Norte-Americanos , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Fatores de Risco , Fatores Socioeconômicos , Estados Unidos/epidemiologia , População Branca , Adulto Jovem
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