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1.
MMWR Morb Mortal Wkly Rep ; 70(49): 1700-1705, 2021 Dec 10.
Article in English | MEDLINE | ID: covidwho-1614365

ABSTRACT

The mRNA COVID-19 vaccines (Moderna and Pfizer-BioNTech) provide strong protection against severe COVID-19, including hospitalization, for at least several months after receipt of the second dose (1,2). However, studies examining immune responses and differences in protection against COVID-19-associated hospitalization in real-world settings, including by vaccine product, are limited. To understand how vaccine effectiveness (VE) might change with time, CDC and collaborators assessed the comparative effectiveness of Moderna and Pfizer-BioNTech vaccines in preventing COVID-19-associated hospitalization at two periods (14-119 days and ≥120 days) after receipt of the second vaccine dose among 1,896 U.S. veterans at five Veterans Affairs medical centers (VAMCs) during February 1-September 30, 2021. Among 234 U.S. veterans fully vaccinated with an mRNA COVID-19 vaccine and without evidence of current or prior SARS-CoV-2 infection, serum antibody levels (anti-spike immunoglobulin G [IgG] and anti-receptor binding domain [RBD] IgG) to SARS-CoV-2 were also compared. Adjusted VE 14-119 days following second Moderna vaccine dose was 89.6% (95% CI = 80.1%-94.5%) and after the second Pfizer-BioNTech dose was 86.0% (95% CI = 77.6%-91.3%); at ≥120 days VE was 86.1% (95% CI = 77.7%-91.3%) for Moderna and 75.1% (95% CI = 64.6%-82.4%) for Pfizer-BioNTech. Antibody levels were significantly higher among Moderna recipients than Pfizer-BioNTech recipients across all age groups and periods since vaccination; however, antibody levels among recipients of both products declined between 14-119 days and ≥120 days. These findings from a cohort of older, hospitalized veterans with high prevalences of underlying conditions suggest the importance of booster doses to help maintain long-term protection against severe COVID-19.†.


Subject(s)
2019-nCoV Vaccine mRNA-1273/immunology , Antibodies, Viral/analysis , BNT162 Vaccine/immunology , COVID-19/prevention & control , SARS-CoV-2/immunology , Vaccine Efficacy/statistics & numerical data , 2019-nCoV Vaccine mRNA-1273/administration & dosage , Aged , BNT162 Vaccine/administration & dosage , COVID-19/epidemiology , COVID-19/immunology , Cohort Studies , Female , Hospitalization/statistics & numerical data , Humans , Immunization Schedule , Male , Middle Aged , Patient Acuity , Time Factors , United States/epidemiology , Veterans/statistics & numerical data , Veterans Health Services
2.
Front Public Health ; 9: 739076, 2021.
Article in English | MEDLINE | ID: covidwho-1518570

ABSTRACT

Introduction: Early in the COVID-19 pandemic, the Centers for Disease Control and Prevention (CDC) rapidly initiated COVID-19 surveillance by leveraging existing hospital networks to assess disease burden among hospitalized inpatients and inform prevention efforts. Materials and Methods: The Surveillance Platform for Enteric and Respiratory Infectious Organisms at Veterans Affairs Medical Centers (SUPERNOVA) is a network of five United States Veterans Affairs Medical Centers which serves nearly 400,000 Veterans annually and conducts laboratory-based passive and active monitoring for pathogens associated with acute gastroenteritis and acute respiratory illness among hospitalized Veterans. This paper presents surveillance methods for adapting the SUPERNOVA surveillance platform to prospectively evaluate COVID-19 epidemiology during a public health emergency, including detecting, characterizing, and monitoring patients with and without COVID-19 beginning in March 2020. To allow for case-control analyses, patients with COVID-19 and patients with non-COVID-19 acute respiratory illness were included. Results: SUPERNOVA included 1,235 participants with COVID-19 and 707 participants with other acute respiratory illnesses hospitalized during February through December 2020. Most participants were male (93.1%), with a median age of 70 years, and 45.8% non-Hispanic Black and 32.6% non-Hispanic White. Among those with COVID-19, 28.2% were transferred to an intensive care unit, 9.4% received invasive mechanical ventilation, and 13.9% died. Compared with controls, after adjusting for age, sex, and race/ethnicity, COVID-19 case-patients had significantly higher risk of mortality, respiratory failure, and invasive mechanical ventilation, and longer hospital stays. Discussion: Strengths of the SUPERNOVA platform for COVID-19 surveillance include the ability to collect and integrate multiple types of data, including clinical and illness outcome information, and SARS-CoV-2 laboratory test results from respiratory and serum specimens. Analysis of data from this platform also enables formal comparisons of participants with and without COVID-19. Surveillance data collected during a public health emergency from this key U.S. population of Veterans will be useful for epidemiologic investigations of COVID-19 spectrum of disease, underlying medical conditions, virus variants, and vaccine effectiveness, according to public health priorities and needs.


Subject(s)
COVID-19 , Veterans , Adult , Aged , Hospitals , Humans , Male , Pandemics , SARS-CoV-2 , United States/epidemiology
3.
MMWR Morb Mortal Wkly Rep ; 70(37): 1294-1299, 2021 Sep 17.
Article in English | MEDLINE | ID: covidwho-1417367

ABSTRACT

COVID-19 mRNA vaccines (Pfizer-BioNTech and Moderna) have been shown to be highly protective against COVID-19-associated hospitalizations (1-3). Data are limited on the level of protection against hospitalization among disproportionately affected populations in the United States, particularly during periods in which the B.1.617.2 (Delta) variant of SARS-CoV-2, the virus that causes COVID-19, predominates (2). U.S. veterans are older, more racially diverse, and have higher prevalences of underlying medical conditions than persons in the general U.S. population (2,4). CDC assessed the effectiveness of mRNA vaccines against COVID-19-associated hospitalization among 1,175 U.S. veterans aged ≥18 years hospitalized at five Veterans Affairs Medical Centers (VAMCs) during February 1-August 6, 2021. Among these hospitalized persons, 1,093 (93.0%) were men, the median age was 68 years, 574 (48.9%) were non-Hispanic Black (Black), 475 were non-Hispanic White (White), and 522 (44.4%) had a Charlson comorbidity index score of ≥3 (5). Overall adjusted vaccine effectiveness against COVID-19-associated hospitalization was 86.8% (95% confidence interval [CI] = 80.4%-91.1%) and was similar before (February 1-June 30) and during (July 1-August 6) SARS-CoV-2 Delta variant predominance (84.1% versus 89.3%, respectively). Vaccine effectiveness was 79.8% (95% CI = 67.7%-87.4%) among adults aged ≥65 years and 95.1% (95% CI = 89.1%-97.8%) among those aged 18-64 years. COVID-19 mRNA vaccines are highly effective in preventing COVID-19-associated hospitalization in this older, racially diverse population of predominately male U.S. veterans. Additional evaluations of vaccine effectiveness among various age groups are warranted. To prevent COVID-19-related hospitalizations, all eligible persons should receive COVID-19 vaccination.


Subject(s)
COVID-19 Vaccines/administration & dosage , COVID-19/prevention & control , Hospitalization/statistics & numerical data , Veterans/statistics & numerical data , Adolescent , Adult , Aged , COVID-19/epidemiology , COVID-19/therapy , Female , Hospitals, Veterans , Humans , Male , Middle Aged , United States/epidemiology , United States Department of Veterans Affairs , Vaccines, Synthetic , Young Adult
4.
J Occup Environ Med ; 63(4): 291-295, 2021 04 01.
Article in English | MEDLINE | ID: covidwho-1153276

ABSTRACT

OBJECTIVE: We investigated COVID-19 infection and death among healthcare personnel (HCP) in the United States Veterans Health Administration. METHODS: HCP with positive Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) reverse transcription polymerase chain reaction tests between March 1 and August 31, 2020 were included. Risk ratios were calculated for sex, age, race/ethnicity, Veteran status, occupation category, facility of employment by inpatient COVID-19 test percent positivity and death. RESULTS: Five thousand nine hundred twenty five HCP were COVID-19-infected out of 131,606 tested (4.5% positivity). Highest risk for COVID-19 infection included: HCP working in hospitals with more than 15% inpatient COVID-19 test positivity, nursing staff, non-Hispanic Black, and Hispanic or Latino HCP and HCP who were Veterans. Among 18 HCP who died after COVID-19 infection, male sex, age more than or equal to 65 years, and Veteran status were significant risk factors. CONCLUSIONS: Robust national surveillance testing methods are needed to accurately monitor HCP COVID-19 infections and deaths to improve HCP safety.


Subject(s)
COVID-19/epidemiology , Health Personnel/statistics & numerical data , United States Department of Veterans Affairs/statistics & numerical data , Adult , Aged , COVID-19/diagnosis , COVID-19/prevention & control , COVID-19 Testing/statistics & numerical data , Female , Humans , Male , Middle Aged , Occupational Health , Risk Factors , SARS-CoV-2 , United States/epidemiology
5.
JMIR Public Health Surveill ; 7(1): e24502, 2021 01 22.
Article in English | MEDLINE | ID: covidwho-1041395

ABSTRACT

BACKGROUND: COVID-19 has disproportionately affected older adults and certain racial and ethnic groups in the United States. Data quantifying the disease burden, as well as describing clinical outcomes during hospitalization among these groups, are needed. OBJECTIVE: We aimed to describe interim COVID-19 hospitalization rates and severe clinical outcomes by age group and race and ethnicity among US veterans by using a multisite surveillance network. METHODS: We implemented a multisite COVID-19 surveillance platform in 5 Veterans Affairs Medical Centers located in Atlanta, Bronx, Houston, Palo Alto, and Los Angeles, collectively serving more than 396,000 patients annually. From February 27 to July 17, 2020, we actively identified inpatient cases with COVID-19 by screening admitted patients and reviewing their laboratory test results. We then manually abstracted the patients' medical charts for demographics, underlying medical conditions, and clinical outcomes. Furthermore, we calculated hospitalization incidence and incidence rate ratios, as well as relative risk for invasive mechanical ventilation, intensive care unit admission, and case fatality rate after adjusting for age, race and ethnicity, and underlying medical conditions. RESULTS: We identified 621 laboratory-confirmed, hospitalized COVID-19 cases. The median age of the patients was 70 years, with 65.7% (408/621) aged ≥65 years and 94% (584/621) male. Most COVID-19 diagnoses were among non-Hispanic Black (325/621, 52.3%) veterans, followed by non-Hispanic White (153/621, 24.6%) and Hispanic or Latino (112/621, 18%) veterans. Hospitalization rates were the highest among veterans who were ≥85 years old, Hispanic or Latino, and non-Hispanic Black (430, 317, and 298 per 100,000, respectively). Veterans aged ≥85 years had a 14-fold increased rate of hospitalization compared with those aged 18-29 years (95% CI: 5.7-34.6), whereas Hispanic or Latino and Black veterans had a 4.6- and 4.2-fold increased rate of hospitalization, respectively, compared with non-Hispanic White veterans (95% CI: 3.6-5.9). Overall, 11.6% (72/621) of the patients required invasive mechanical ventilation, 26.6% (165/621) were admitted to the intensive care unit, and 16.9% (105/621) died in the hospital. The adjusted relative risk for invasive mechanical ventilation and admission to the intensive care unit did not differ by age group or race and ethnicity, but veterans aged ≥65 years had a 4.5-fold increased risk of death while hospitalized with COVID-19 compared with those aged <65 years (95% CI: 2.4-8.6). CONCLUSIONS: COVID-19 surveillance at the 5 Veterans Affairs Medical Centers across the United States demonstrated higher hospitalization rates and severe outcomes among older veterans, as well as higher hospitalization rates among Hispanic or Latino and non-Hispanic Black veterans than among non-Hispanic White veterans. These findings highlight the need for targeted prevention and timely treatment for veterans, with special attention to older aged, Hispanic or Latino, and non-Hispanic Black veterans.


Subject(s)
COVID-19/therapy , Hospitalization/statistics & numerical data , Hospitals, Veterans , Population Surveillance/methods , Veterans/statistics & numerical data , Black or African American/statistics & numerical data , Age Distribution , Aged , Aged, 80 and over , COVID-19/ethnology , COVID-19/mortality , Female , Health Status Disparities , Hispanic or Latino/statistics & numerical data , Humans , Male , Treatment Outcome , United States/epidemiology , White People/statistics & numerical data
6.
Diagn Microbiol Infect Dis ; 100(1): 115312, 2021 May.
Article in English | MEDLINE | ID: covidwho-1039330

ABSTRACT

Reporting of Coronavirus disease 2019 (COVID-19) co-infections with other respiratory pathogens has varied. We evaluated 825,280 molecular and/or viral culture respiratory assays within the Veterans Health Administration from September 29, 2019 to May 31, 2020. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was detected in 10,222 of 174,746 (5.8%) individuals. 30,063 (17.2%) of 174,746 individuals tested for SARS-CoV-2 had additional respiratory pathogen testing; co-infection was identified in 56 of 3757 (1.5%) individuals positive for SARS-CoV-2. Among those negative for SARS-CoV-2, 1022 of 26,306 (3.9%) were positive for at least 1 respiratory pathogen. Compared to COVID-19 mono-infection, individuals with COVID-19 co-infection had lower odds of being female. Compared to non-COVID-19 respiratory pathogen infection, individuals with COVID-19 co-infection had lower odds of being female, were hospitalized more frequently, had higher odds of death, and were younger at death. Our findings suggest COVID-19 co-infections were rare; however, not all COVID-19 patients were concurrently tested for other respiratory pathogens and seasonal decreases in other respiratory pathogens were occurring as COVID-19 emerged.


Subject(s)
COVID-19/epidemiology , Respiratory Tract Infections/epidemiology , Veterans Health/statistics & numerical data , Adolescent , Adult , Aged , Aged, 80 and over , Child , Child, Preschool , Coinfection/epidemiology , Female , Humans , Influenza, Human/epidemiology , Male , Middle Aged , Prevalence , Respiratory Tract Infections/microbiology , Respiratory Tract Infections/virology , United States/epidemiology , United States Department of Veterans Affairs , Veterans Health Services , Young Adult
7.
Open Forum Infectious Diseases ; 7(Supplement_1):S267-S268, 2020.
Article in English | Oxford Academic | ID: covidwho-1010468
8.
MMWR Morb Mortal Wkly Rep ; 69(42): 1528-1534, 2020 Oct 23.
Article in English | MEDLINE | ID: covidwho-890759

ABSTRACT

Coronavirus disease 2019 (COVID-19) is primarily a respiratory illness, although increasing evidence indicates that infection with SARS-CoV-2, the virus that causes COVID-19, can affect multiple organ systems (1). Data that examine all in-hospital complications of COVID-19 and that compare these complications with those associated with other viral respiratory pathogens, such as influenza, are lacking. To assess complications of COVID-19 and influenza, electronic health records (EHRs) from 3,948 hospitalized patients with COVID-19 (March 1-May 31, 2020) and 5,453 hospitalized patients with influenza (October 1, 2018-February 1, 2020) from the national Veterans Health Administration (VHA), the largest integrated health care system in the United States,* were analyzed. Using International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes, complications in patients with laboratory-confirmed COVID-19 were compared with those in patients with influenza. Risk ratios were calculated and adjusted for age, sex, race/ethnicity, and underlying medical conditions; proportions of complications were stratified among patients with COVID-19 by race/ethnicity. Patients with COVID-19 had almost 19 times the risk for acute respiratory distress syndrome (ARDS) than did patients with influenza, (adjusted risk ratio [aRR] = 18.60; 95% confidence interval [CI] = 12.40-28.00), and more than twice the risk for myocarditis (2.56; 1.17-5.59), deep vein thrombosis (2.81; 2.04-3.87), pulmonary embolism (2.10; 1.53-2.89), intracranial hemorrhage (2.85; 1.35-6.03), acute hepatitis/liver failure (3.13; 1.92-5.10), bacteremia (2.46; 1.91-3.18), and pressure ulcers (2.65; 2.14-3.27). The risks for exacerbations of asthma (0.27; 0.16-0.44) and chronic obstructive pulmonary disease (COPD) (0.37; 0.32-0.42) were lower among patients with COVID-19 than among those with influenza. The percentage of COVID-19 patients who died while hospitalized (21.0%) was more than five times that of influenza patients (3.8%), and the duration of hospitalization was almost three times longer for COVID-19 patients. Among patients with COVID-19, the risk for respiratory, neurologic, and renal complications, and sepsis was higher among non-Hispanic Black or African American (Black) patients, patients of other races, and Hispanic or Latino (Hispanic) patients compared with those in non-Hispanic White (White) patients, even after adjusting for age and underlying medical conditions. These findings highlight the higher risk for most complications associated with COVID-19 compared with influenza and might aid clinicians and researchers in recognizing, monitoring, and managing the spectrum of COVID-19 manifestations. The higher risk for certain complications among racial and ethnic minority patients provides further evidence that certain racial and ethnic minority groups are disproportionally affected by COVID-19 and that this disparity is not solely accounted for by age and underlying medical conditions.


Subject(s)
Coronavirus Infections/complications , Coronavirus Infections/therapy , Hospitalization , Influenza, Human/complications , Influenza, Human/therapy , Pneumonia, Viral/complications , Pneumonia, Viral/therapy , Aged , COVID-19 , Coronavirus Infections/epidemiology , Coronavirus Infections/ethnology , Female , Health Status Disparities , Hospital Mortality/trends , Humans , Influenza, Human/epidemiology , Male , Middle Aged , Pandemics , Pneumonia, Viral/epidemiology , Pneumonia, Viral/ethnology , Respiratory Tract Diseases/epidemiology , Respiratory Tract Diseases/virology , Risk Assessment , United States/epidemiology , United States Department of Veterans Affairs
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