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1.
JMIR Public Health Surveill ; 7(6): e28265, 2021 06 03.
Article in English | MEDLINE | ID: covidwho-2197911

ABSTRACT

BACKGROUND: Despite the limitations in the use of cycle threshold (CT) values for individual patient care, population distributions of CT values may be useful indicators of local outbreaks. OBJECTIVE: We aimed to conduct an exploratory analysis of potential correlations between the population distribution of cycle threshold (CT) values and COVID-19 dynamics, which were operationalized as percent positivity, transmission rate (Rt), and COVID-19 hospitalization count. METHODS: In total, 148,410 specimens collected between September 15, 2020, and January 11, 2021, from the greater El Paso area were processed in the Dascena COVID-19 Laboratory. The daily median CT value, daily Rt, daily count of COVID-19 hospitalizations, daily change in percent positivity, and rolling averages of these features were plotted over time. Two-way scatterplots and linear regression were used to evaluate possible associations between daily median CT values and outbreak measures. Cross-correlation plots were used to determine whether a time delay existed between changes in daily median CT values and measures of community disease dynamics. RESULTS: Daily median CT values negatively correlated with the daily Rt values (P<.001), the daily COVID-19 hospitalization counts (with a 33-day time delay; P<.001), and the daily changes in percent positivity among testing samples (P<.001). Despite visual trends suggesting time delays in the plots for median CT values and outbreak measures, a statistically significant delay was only detected between changes in median CT values and COVID-19 hospitalization counts (P<.001). CONCLUSIONS: This study adds to the literature by analyzing samples collected from an entire geographical area and contextualizing the results with other research investigating population CT values.


Subject(s)
COVID-19 Nucleic Acid Testing/statistics & numerical data , COVID-19/epidemiology , Hospitalization/statistics & numerical data , Adult , COVID-19/transmission , Female , Humans , Male , Middle Aged , Pandemics , SARS-CoV-2 , Texas , Time Factors
2.
Cancer Epidemiol Biomarkers Prev ; 30(10): 1884-1894, 2021 10.
Article in English | MEDLINE | ID: covidwho-2194255

ABSTRACT

BACKGROUND: We described the demographics, cancer subtypes, comorbidities, and outcomes of patients with a history of cancer and coronavirus disease 2019 (COVID-19). Second, we compared patients hospitalized with COVID-19 to patients diagnosed with COVID-19 and patients hospitalized with influenza. METHODS: We conducted a cohort study using eight routinely collected health care databases from Spain and the United States, standardized to the Observational Medical Outcome Partnership common data model. Three cohorts of patients with a history of cancer were included: (i) diagnosed with COVID-19, (ii) hospitalized with COVID-19, and (iii) hospitalized with influenza in 2017 to 2018. Patients were followed from index date to 30 days or death. We reported demographics, cancer subtypes, comorbidities, and 30-day outcomes. RESULTS: We included 366,050 and 119,597 patients diagnosed and hospitalized with COVID-19, respectively. Prostate and breast cancers were the most frequent cancers (range: 5%-18% and 1%-14% in the diagnosed cohort, respectively). Hematologic malignancies were also frequent, with non-Hodgkin's lymphoma being among the five most common cancer subtypes in the diagnosed cohort. Overall, patients were aged above 65 years and had multiple comorbidities. Occurrence of death ranged from 2% to 14% and from 6% to 26% in the diagnosed and hospitalized COVID-19 cohorts, respectively. Patients hospitalized with influenza (n = 67,743) had a similar distribution of cancer subtypes, sex, age, and comorbidities but lower occurrence of adverse events. CONCLUSIONS: Patients with a history of cancer and COVID-19 had multiple comorbidities and a high occurrence of COVID-19-related events. Hematologic malignancies were frequent. IMPACT: This study provides epidemiologic characteristics that can inform clinical care and etiologic studies.


Subject(s)
COVID-19/mortality , Neoplasms/epidemiology , Outcome Assessment, Health Care/statistics & numerical data , Adolescent , Adult , Aged , Aged, 80 and over , Child , Cohort Studies , Comorbidity , Databases, Factual , Female , Hospitalization/statistics & numerical data , Humans , Influenza, Human/epidemiology , Male , Middle Aged , Pandemics , Prevalence , Risk Factors , SARS-CoV-2 , Spain/epidemiology , United States/epidemiology , Young Adult
3.
Elife ; 92020 08 13.
Article in English | MEDLINE | ID: covidwho-2155738

ABSTRACT

As of 1 May 2020, there had been 6808 confirmed cases of COVID-19 in Australia. Of these, 98 had died from the disease. The epidemic had been in decline since mid-March, with 308 cases confirmed nationally since 14 April. This suggests that the collective actions of the Australian public and government authorities in response to COVID-19 were sufficiently early and assiduous to avert a public health crisis - for now. Analysing factors that contribute to individual country experiences of COVID-19, such as the intensity and timing of public health interventions, will assist in the next stage of response planning globally. We describe how the epidemic and public health response unfolded in Australia up to 13 April. We estimate that the effective reproduction number was likely below one in each Australian state since mid-March and forecast that clinical demand would remain below capacity thresholds over the forecast period (from mid-to-late April).


Subject(s)
Betacoronavirus , Coronavirus Infections/epidemiology , Pandemics , Pneumonia, Viral/epidemiology , Adolescent , Adult , Age Distribution , Aged , Aged, 80 and over , Australia/epidemiology , COVID-19 , Child , Child, Preschool , Communicable Disease Control/methods , Communicable Disease Control/organization & administration , Communicable Disease Control/statistics & numerical data , Coronavirus Infections/prevention & control , Female , Forecasting , Geography, Medical , Hospitalization/statistics & numerical data , Humans , Infant , Infant, Newborn , Male , Middle Aged , Pandemics/prevention & control , Pneumonia, Viral/prevention & control , Public Health , Quarantine , SARS-CoV-2 , Travel , Young Adult
4.
JMIR Public Health Surveill ; 7(9): e28005, 2021 09 21.
Article in English | MEDLINE | ID: covidwho-2141326

ABSTRACT

BACKGROUND: The clinical, laboratory, and imaging features of COVID-19 disease are variable. Multiple factors can affect the disease progression and outcome. OBJECTIVE: This study aimed to analyze the clinical, laboratory, and imaging features of COVID-19 in Jordan. METHODS: Clinical, laboratory, and imaging data were collected for 557 confirmed COVID-19 patients admitted to Prince Hamzah Hospital (PHH), Jordan. Analysis was performed using appropriate statistical tests with SPSS version 24. RESULTS: Of the 557 COVID-19 polymerase chain reaction (PCR)-positive cases admitted to PHH, the mean age was 34.4 years (SD 18.95 years; range 5 weeks to 87 years), 86.0% (479/557) were male, 41% (29/70) were blood group A+, and 57.1% (93/163) were overweight or obese. Significant past medical history was documented in 25.9% (144/557), significant surgical history in 12.6% (70/557), current smoking in 14.9% (83/557), and pregnancy in 0.5% (3/557). The mean duration of hospitalization was 16.4 (SD 9.3; range 5 to 70) days; 52.6% (293/557) were asymptomatic, and 12.9% (72/557) had more than 5 symptoms, with generalized malaise and dry cough the most common symptoms. Only 2.5% (14/557) had a respiratory rate over 25 breaths/minute, and 1.8% (10/557) had an oxygen saturation below 85%. Laboratory investigations showed a wide range of abnormalities, with lymphocytosis and elevated C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), and D-dimer the most common abnormalities. Ground glass opacity was the most common imaging finding. Men had a significantly higher frequency of symptoms, incidence of smoking, reduced hemoglobin, increased monocyte %, elevated creatinine levels, and intensive care unit admissions compared with women (P<.05). Hospitalization duration was associated with increased age, male gender, symptom score, history of smoking, elevated systolic blood pressure, elevated respiratory rate, and elevated monocyte %, CRP, ESR, creatinine, and D-dimer (P<.05). CONCLUSIONS: Most COVID-19 cases admitted to PHH were asymptomatic. Variabilities in symptoms, signs, laboratory results, and imaging findings should be noted. Increased age, male gender, smoking history, and elevated inflammatory markers were significantly associated with longer duration of hospitalization.


Subject(s)
COVID-19/diagnosis , COVID-19/therapy , Adolescent , Adult , Aged , Aged, 80 and over , COVID-19/diagnostic imaging , COVID-19/epidemiology , Child , Child, Preschool , Cohort Studies , Cross-Sectional Studies , Female , Hospitalization/statistics & numerical data , Humans , Infant , Jordan/epidemiology , Laboratories , Male , Middle Aged , Pregnancy , Young Adult
5.
JMIR Public Health Surveill ; 7(4): e25075, 2021 04 30.
Article in English | MEDLINE | ID: covidwho-2141297

ABSTRACT

BACKGROUND: Risk assessment of patients with acute COVID-19 in a telemedicine context is not well described. In settings of large numbers of patients, a risk assessment tool may guide resource allocation not only for patient care but also for maximum health care and public health benefit. OBJECTIVE: The goal of this study was to determine whether a COVID-19 telemedicine risk assessment tool accurately predicts hospitalizations. METHODS: We conducted a retrospective study of a COVID-19 telemedicine home monitoring program serving health care workers and the community in Atlanta, Georgia, with enrollment from March 24 to May 26, 2020; the final call range was from March 27 to June 19, 2020. All patients were assessed by medical providers using an institutional COVID-19 risk assessment tool designating patients as Tier 1 (low risk for hospitalization), Tier 2 (intermediate risk for hospitalization), or Tier 3 (high risk for hospitalization). Patients were followed with regular telephone calls to an endpoint of improvement or hospitalization. Using survival analysis by Cox regression with days to hospitalization as the metric, we analyzed the performance of the risk tiers and explored individual patient factors associated with risk of hospitalization. RESULTS: Providers using the risk assessment rubric assigned 496 outpatients to tiers: Tier 1, 237 out of 496 (47.8%); Tier 2, 185 out of 496 (37.3%); and Tier 3, 74 out of 496 (14.9%). Subsequent hospitalizations numbered 3 out of 237 (1.3%) for Tier 1, 15 out of 185 (8.1%) for Tier 2, and 17 out of 74 (23%) for Tier 3. From a Cox regression model with age of 60 years or older, gender, and reported obesity as covariates, the adjusted hazard ratios for hospitalization using Tier 1 as reference were 3.74 (95% CI 1.06-13.27; P=.04) for Tier 2 and 10.87 (95% CI 3.09-38.27; P<.001) for Tier 3. CONCLUSIONS: A telemedicine risk assessment tool prospectively applied to an outpatient population with COVID-19 identified populations with low, intermediate, and high risk of hospitalization.


Subject(s)
Ambulatory Care , COVID-19/therapy , Hospitalization/statistics & numerical data , Risk Assessment/methods , Telemedicine , Adolescent , Adult , Aged , Female , Humans , Male , Middle Aged , Reproducibility of Results , Retrospective Studies , Young Adult
6.
JMIR Public Health Surveill ; 7(1): e22794, 2021 01 12.
Article in English | MEDLINE | ID: covidwho-2141286

ABSTRACT

BACKGROUND: COVID-19, a viral respiratory disease first reported in December 2019, quickly became a threat to global public health. Further understanding of the epidemiology of the SARS-CoV-2 virus and the risk perception of the community may better inform targeted interventions to reduce the impact and spread of COVID-19. OBJECTIVE: In this study, we aimed to examine the association between chronic diseases and serious outcomes following COVID-19 infection, and to explore its influence on people's self-perception of risk for worse COVID-19 outcomes. METHODS: This study draws data from two databases: (1) the nationwide database of all confirmed COVID-19 cases in Portugal, extracted on April 28, 2020 (n=20,293); and (2) the community-based COVID-19 Barometer survey, which contains data on health status, perceptions, and behaviors during the first wave of COVID-19 (n=171,087). We assessed the association between relevant chronic diseases (ie, respiratory, cardiovascular, and renal diseases; diabetes; and cancer) and death and intensive care unit (ICU) admission following COVID-19 infection. We identified determinants of self-perception of risk for severe COVID-19 outcomes using logistic regression models. RESULTS: Respiratory, cardiovascular, and renal diseases were associated with mortality and ICU admission among patients hospitalized due to COVID-19 infection (odds ratio [OR] 1.48, 95% CI 1.11-1.98; OR 3.39, 95% CI 1.80-6.40; and OR 2.25, 95% CI 1.66-3.06, respectively). Diabetes and cancer were associated with serious outcomes only when considering the full sample of COVID-19-infected cases in the country (OR 1.30, 95% CI 1.03-1.64; and OR 1.40, 95% CI 1.03-1.89, respectively). Older age and male sex were both associated with mortality and ICU admission. The perception of risk for severe COVID-19 disease in the study population was 23.9% (n=40,890). This was markedly higher for older adults (n=5235, 46.4%), those with at least one chronic disease (n=17,647, 51.6%), or those in both of these categories (n=3212, 67.7%). All included diseases were associated with self-perceptions of high risk in this population. CONCLUSIONS: Our results demonstrate the association between some prevalent chronic diseases and increased risk of worse COVID-19 outcomes. It also brings forth a greater understanding of the community's risk perceptions of serious COVID-19 disease. Hence, this study may aid health authorities to better adapt measures to the real needs of the population and to identify vulnerable individuals requiring further education and awareness of preventive measures.


Subject(s)
COVID-19/therapy , Chronic Disease/epidemiology , Health Knowledge, Attitudes, Practice , Aged , Aged, 80 and over , COVID-19/epidemiology , COVID-19/mortality , Comorbidity , Databases, Factual , Female , Hospitalization/statistics & numerical data , Humans , Intensive Care Units/statistics & numerical data , Male , Middle Aged , Portugal/epidemiology , Risk Assessment , Surveys and Questionnaires , Treatment Outcome
7.
Eur Respir Rev ; 31(166)2022 Dec 31.
Article in English | MEDLINE | ID: covidwho-2139129

ABSTRACT

BACKGROUND: As mortality from coronavirus disease 2019 (COVID-19) is strongly age-dependent, we aimed to identify population subgroups at an elevated risk for adverse outcomes from COVID-19 using age-/gender-adjusted data from European cohort studies with the aim to identify populations that could potentially benefit from booster vaccinations. METHODS: We performed a systematic literature review and meta-analysis to investigate the role of underlying medical conditions as prognostic factors for adverse outcomes due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), including death, hospitalisation, intensive care unit (ICU) admission and mechanical ventilation within three separate settings (community, hospital and ICU). Cohort studies that reported at least age and gender-adjusted data from Europe were identified through a search of peer-reviewed articles published until 11 June 2021 in Ovid Medline and Embase. Results are presented as odds ratios with 95% confidence intervals and absolute risk differences in deaths per 1000 COVID-19 patients. FINDINGS: We included 88 cohort studies with age-/gender-adjusted data from 6 653 207 SARS-CoV-2 patients from Europe. Hospital-based mortality was associated with high and moderate certainty evidence for solid organ tumours, diabetes mellitus, renal disease, arrhythmia, ischemic heart disease, liver disease and obesity, while a higher risk, albeit with low certainty, was noted for chronic obstructive pulmonary disease and heart failure. Community-based mortality was associated with a history of heart failure, stroke, diabetes and end-stage renal disease. Evidence of high/moderate certainty revealed a strong association between hospitalisation for COVID-19 and solid organ transplant recipients, sleep apnoea, diabetes, stroke and liver disease. INTERPRETATION: The results confirmed the strong association between specific prognostic factors and mortality and hospital admission. Prioritisation of booster vaccinations and the implementation of nonpharmaceutical protective measures for these populations may contribute to a reduction in COVID-19 mortality, ICU and hospital admissions.


Subject(s)
COVID-19 , Hospitalization , Intensive Care Units , Humans , Cohort Studies , COVID-19/mortality , COVID-19/therapy , Hospitalization/statistics & numerical data , Prognosis , Europe/epidemiology , Male , Female
8.
Ann Intern Med ; 173(7): 536-541, 2020 10 06.
Article in English | MEDLINE | ID: covidwho-2110869

ABSTRACT

BACKGROUND: The incidence and severity of coronavirus disease 2019 (COVID-19) among HIV-positive persons receiving antiretroviral therapy (ART) have not been characterized in large populations. OBJECTIVE: To describe the incidence and severity of COVID-19 by nucleos(t)ide reverse transcriptase inhibitor (NRTI) use among HIV-positive persons receiving ART. DESIGN: Cohort study. SETTING: HIV clinics in 60 Spanish hospitals between 1 February and 15 April 2020. PARTICIPANTS: 77 590 HIV-positive persons receiving ART. MEASUREMENTS: Estimated risks (cumulative incidences) per 10 000 persons and 95% CIs for polymerase chain reaction-confirmed COVID-19 diagnosis, hospitalization, intensive care unit (ICU) admission, and death. Risk and 95% CIs for COVID-19 diagnosis and hospital admission by use of the NRTIs tenofovir disoproxil fumarate (TDF)/emtricitabine (FTC), tenofovir alafenamide (TAF)/FTC, abacavir (ABC)/lamivudine (3TC), and others were estimated through Poisson regression models. RESULTS: Of 77 590 HIV-positive persons receiving ART, 236 were diagnosed with COVID-19, 151 were hospitalized, 15 were admitted to the ICU, and 20 died. The risks for COVID-19 diagnosis and hospitalization were greater in men and persons older than 70 years. The risk for COVID-19 hospitalization was 20.3 (95% CI, 15.2 to 26.7) among patients receiving TAF/FTC, 10.5 (CI, 5.6 to 17.9) among those receiving TDF/FTC, 23.4 (CI, 17.2 to 31.1) among those receiving ABC/3TC, and 20.0 (CI, 14.2 to 27.3) for those receiving other regimens. The corresponding risks for COVID-19 diagnosis were 39.1 (CI, 31.8 to 47.6), 16.9 (CI, 10.5 to 25.9), 28.3 (CI, 21.5 to 36.7), and 29.7 (CI, 22.6 to 38.4), respectively. No patient receiving TDF/FTC was admitted to the ICU or died. LIMITATION: Residual confounding by comorbid conditions cannot be completely excluded. CONCLUSION: HIV-positive patients receiving TDF/FTC have a lower risk for COVID-19 and related hospitalization than those receiving other therapies. These findings warrant further investigation in HIV preexposure prophylaxis studies and randomized trials in persons without HIV. PRIMARY FUNDING SOURCE: Instituto de Salud Carlos III and National Institutes of Health.


Subject(s)
Antiretroviral Therapy, Highly Active , Coronavirus Infections/epidemiology , HIV Infections/drug therapy , Pneumonia, Viral/epidemiology , Adenine/analogs & derivatives , Adult , Aged , Betacoronavirus , COVID-19 , Coronavirus Infections/mortality , Dideoxynucleosides , Drug Combinations , Emtricitabine , Female , HIV Infections/mortality , Hospitalization/statistics & numerical data , Humans , Incidence , Intensive Care Units/statistics & numerical data , Lamivudine , Male , Middle Aged , Pandemics , Pneumonia, Viral/mortality , Reverse Transcriptase Polymerase Chain Reaction , SARS-CoV-2 , Severity of Illness Index , Spain/epidemiology , Tenofovir
9.
Ann Intern Med ; 173(11): 870-878, 2020 12 01.
Article in English | MEDLINE | ID: covidwho-2110823

ABSTRACT

BACKGROUND: Low-dose glucocorticoids are frequently used for the management of rheumatoid arthritis (RA) and other chronic conditions, but the safety of long-term use remains uncertain. OBJECTIVE: To quantify the risk for hospitalized infection with long-term use of low-dose glucocorticoids in patients with RA receiving stable disease-modifying antirheumatic drug (DMARD) therapy. DESIGN: Retrospective cohort study. SETTING: Medicare claims data and Optum's deidentified Clinformatics Data Mart database from 2006 to 2015. PATIENTS: Adults with RA receiving a stable DMARD regimen for more than 6 months. MEASUREMENTS: Associations between glucocorticoid dose (none, ≤5 mg/d, >5 to 10 mg/d, and >10 mg/d) and hospitalized infection were evaluated using inverse probability-weighted analyses, with 1-year cumulative incidence predicted from weighted models. RESULTS: 247 297 observations were identified among 172 041 patients in Medicare and 58 279 observations among 44 118 patients in Optum. After 6 months of stable DMARD use, 47.1% of Medicare patients and 39.5% of Optum patients were receiving glucocorticoids. The 1-year cumulative incidence of hospitalized infection in Medicare patients not receiving glucocorticoids was 8.6% versus 11.0% (95% CI, 10.6% to 11.5%) for glucocorticoid dose of 5 mg or less per day, 14.4% (CI, 13.8% to 15.1%) for greater than 5 to 10 mg/d, and 17.7% (CI, 16.5% to 19.1%) for greater than 10 mg/d (all P < 0.001 vs. no glucocorticoids). The 1-year cumulative incidence of hospitalized infection in Optum patients not receiving glucocorticoids was 4.0% versus 5.2% (CI, 4.7% to 5.8%) for glucocorticoid dose of 5 mg or less per day, 8.1% (CI, 7.0% to 9.3%) for greater than 5 to 10 mg/d, and 10.6% (CI, 8.5% to 13.2%) for greater than 10 mg/d (all P < 0.001 vs. no glucocorticoids). LIMITATION: Potential for residual confounding and misclassification of glucocorticoid dose. CONCLUSION: In patients with RA receiving stable DMARD therapy, glucocorticoids were associated with a dose-dependent increase in the risk for serious infection, with small but significant risks even at doses of 5 mg or less per day. Clinicians should balance the benefits of low-dose glucocorticoids with this potential risk. PRIMARY FUNDING SOURCE: National Institute of Arthritis and Musculoskeletal and Skin Diseases.


Subject(s)
Antirheumatic Agents/adverse effects , Arthritis, Rheumatoid/drug therapy , Glucocorticoids/adverse effects , Infections/chemically induced , Aged , Antirheumatic Agents/administration & dosage , Antirheumatic Agents/therapeutic use , Female , Glucocorticoids/administration & dosage , Glucocorticoids/therapeutic use , Hospitalization/statistics & numerical data , Humans , Male , Retrospective Studies , Risk Factors
10.
Infect Control Hosp Epidemiol ; 42(2): 228-229, 2021 Feb.
Article in English | MEDLINE | ID: covidwho-2096442

ABSTRACT

Coronavirus disease 2019 (COVID-19) has migrated to regions that were initially spared, and it is likely that different populations are currently at risk for illness. Herein, we present our observations of the change in characteristics and resource use of COVID-19 patients over time in a national system of community hospitals to help inform those managing surge planning, operational management, and future policy decisions.


Subject(s)
COVID-19/epidemiology , COVID-19/therapy , Hospitalization/statistics & numerical data , Adult , Age Factors , Aged , Aged, 80 and over , COVID-19/ethnology , COVID-19/mortality , Female , Hospitals, Community , Humans , Male , Middle Aged , SARS-CoV-2/isolation & purification , Virginia/epidemiology , Young Adult
11.
Infect Control Hosp Epidemiol ; 42(1): 89-92, 2021 01.
Article in English | MEDLINE | ID: covidwho-2096391
13.
JAMA ; 328(14): 1427-1437, 2022 10 11.
Article in English | MEDLINE | ID: covidwho-2084928

ABSTRACT

Importance: Evidence describing the incidence of severe COVID-19 illness following vaccination and booster with BNT162b2, mRNA-1273, and Ad26.COV2.S vaccines is needed, particularly for high-risk populations. Objective: To describe the incidence of severe COVID-19 illness among a cohort that received vaccination plus a booster vaccine dose. Design, Setting, and Participants: Retrospective cohort study of adults receiving care at Veterans Health Administration facilities across the US who received a vaccination series plus 1 booster against SARS-CoV-2, conducted from July 1, 2021, to May 30, 2022. Patients were eligible if they had received a primary care visit in the prior 2 years and had documented receipt of all US Food and Drug Administration-authorized doses of the initial mRNA vaccine or viral vector vaccination series after December 11, 2020, and a subsequent documented booster dose between July 1, 2021, and April 29, 2022. The analytic cohort consisted of 1 610 719 participants. Exposures: Receipt of any combination of mRNA-1273 (Moderna), BNT162b2 (Pfizer-BioNTech), and Ad26.COV2.S (Janssen/Johnson & Johnson) primary vaccination series and a booster dose. Main Outcomes and Measures: Outcomes were breakthrough COVID-19 (symptomatic infection), hospitalization with COVID-19 pneumonia and/or death, and hospitalization with severe COVID-19 pneumonia and/or death. A subgroup analysis of nonoverlapping populations included those aged 65 years or older, those with high-risk comorbid conditions, and those with immunocompromising conditions. Results: Of 1 610 719 participants, 1 100 280 (68.4%) were aged 65 years or older and 132 243 (8.2%) were female; 1 133 785 (70.4%) had high-risk comorbid conditions, 155 995 (9.6%) had immunocompromising conditions, and 1 467 879 (91.1%) received the same type of mRNA vaccine (initial series and booster). Over 24 weeks, 125.0 (95% CI, 123.3-126.8) per 10 000 persons had breakthrough COVID-19, 8.9 (95% CI, 8.5-9.4) per 10 000 persons were hospitalized with COVID-19 pneumonia or died, and 3.4 (95% CI, 3.1-3.7) per 10 000 persons were hospitalized with severe pneumonia or died. For high-risk populations, incidence of hospitalization with COVID-19 pneumonia or death was as follows: aged 65 years or older, 1.9 (95% CI, 1.4-2.6) per 10 000 persons; high-risk comorbid conditions, 6.7 (95% CI, 6.2-7.2) per 10 000 persons; and immunocompromising conditions, 39.6 (95% CI, 36.6-42.9) per 10 000 persons. Subgroup analyses of patients hospitalized with COVID-19 pneumonia or death by time after booster demonstrated similar incidence estimates among those aged 65 years or older and with high-risk comorbid conditions but not among those with immunocompromising conditions. Conclusions and Relevance: In a US cohort of patients receiving care at Veterans Health Administration facilities during a period of Delta and Omicron variant predominance, there was a low incidence of hospitalization with COVID-19 pneumonia or death following vaccination and booster with any of BNT162b2, mRNA-1273, or Ad26.COV2.S vaccines.


Subject(s)
2019-nCoV Vaccine mRNA-1273 , Ad26COVS1 , BNT162 Vaccine , COVID-19 , Immunization, Secondary , 2019-nCoV Vaccine mRNA-1273/therapeutic use , Ad26COVS1/therapeutic use , Adult , Aged , BNT162 Vaccine/therapeutic use , COVID-19/epidemiology , COVID-19/mortality , COVID-19/prevention & control , Female , Hospitalization/statistics & numerical data , Humans , Immunization, Secondary/statistics & numerical data , Incidence , Male , Pneumonia/epidemiology , Pneumonia/etiology , Retrospective Studies , SARS-CoV-2 , United States/epidemiology , Vaccination , Veterans Health Services/statistics & numerical data
15.
J Clin Psychiatry ; 82(2)2021 Mar 16.
Article in English | MEDLINE | ID: covidwho-2066787

ABSTRACT

BACKGROUND: Most research evaluating telehealth psychiatric treatment has been conducted in outpatient settings. There is a great lack of research assessing the efficacy of telehealth treatment in more acute, intensive treatment settings such as a partial hospital. In the face of the COVID-19 pandemic, much of behavioral health treatment has transitioned to a virtual format. In the present report from the Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) project, we examined the effectiveness of our partial hospital program (PHP). METHOD: The sample included 207 patients who were treated virtually from May 2020 to September 2020 and a comparison group of 207 patients who were treated in the in-person partial program a year earlier. Patients completed self-administered measures of patient satisfaction, symptoms, coping ability, functioning, and general well-being. RESULTS: For both the in-person and telehealth methods of delivering partial hospital level of care, patients were highly satisfied with treatment and reported a significant reduction in symptoms and suicidality from admission to discharge. On the modified Remission from Depression Questionnaire, the primary outcome measure, both groups reported a significant (P < .01) improvement in functioning, coping ability, positive mental health, and general well-being. A large effect size of treatment (Cohen d > 0.8) was found in both treatment groups. The only significant difference in outcome between the patients treated in the different formats was a greater length of stay (mean ± SD of 13.5 ± 8.1 vs 8.5 ± 5.0 days, t = 7.61, P < .001) and greater likelihood of staying in treatment until completion (72.9% vs 62.3%, χ2 = 5.34, P < .05) in the virtually treated patients. CONCLUSIONS: Telehealth partial hospital treatment was as effective as in-person treatment in terms of patient satisfaction, symptom reduction, suicidal ideation reduction, and improved functioning and well-being. The treatment completion rate was higher in the telehealth cohort, and several patients who were treated virtually commented that they never would have presented for in-person treatment even if there was no pandemic. Telehealth PHPs should be considered a viable treatment option even after the pandemic has resolved.


Subject(s)
Behavior Therapy , COVID-19 , Emergency Services, Psychiatric , Mental Disorders , Telemedicine , Adult , Behavior Therapy/methods , Behavior Therapy/trends , COVID-19/epidemiology , COVID-19/prevention & control , Emergency Service, Hospital/statistics & numerical data , Emergency Services, Psychiatric/methods , Emergency Services, Psychiatric/trends , Female , Hospitalization/statistics & numerical data , Humans , Infection Control/methods , Male , Mental Disorders/diagnosis , Mental Disorders/epidemiology , Mental Disorders/therapy , Mental Health/trends , Patient Safety , Patient Satisfaction , SARS-CoV-2 , Telemedicine/methods , Telemedicine/organization & administration , United States/epidemiology
16.
J Clin Psychiatry ; 82(3)2021 04 06.
Article in English | MEDLINE | ID: covidwho-2066783

ABSTRACT

OBJECTIVE: By forcing closure of schools, curtailing outpatient services, and imposing strict social distancing, the COVID-19 pandemic has abruptly affected the daily life of millions worldwide, with still unclear consequences for mental health. This study aimed to evaluate if and how child and adolescent psychiatric visits to hospital emergency departments (EDs) changed during the pandemic lockdown, which started in Italy on February 24, 2020. METHODS: We examined all ED visits by patients under 18 years of age in the 7 weeks prior to February 24, 2020, and in the subsequent 8 weeks of COVID-19 lockdown at two urban university hospitals, in Turin and Rome, Italy. ED visits during the corresponding periods of 2019 served as a comparison using Poisson regression modeling. The clinician's decision to hospitalize or discharge home the patient after the ED visit was examined as an index of clinical severity. RESULTS: During the COVID-19 lockdown, there was a 72.0% decrease in the number of all pediatric ED visits (3,395) compared with the corresponding period in 2019 (12,128), with a 46.2% decrease in psychiatric visits (50 vs 93). The mean age of psychiatric patients was higher in the COVID-19 period (15.7 vs 14.1 years). No significant changes were found in hospitalization rate or in the prevalence distribution of the primary reason for the psychiatric ED visit (suicidality, anxiety/mood disorders, agitation). CONCLUSIONS: In the first 8 weeks of the COVID-19-induced social lockdown, the number of child and adolescent psychiatric ED visits significantly decreased, with an increase in patient age. This decrease does not appear to be explained by severity-driven self-selection and might be due to a reduction in psychiatric emergencies or to the implementation of alternative ways of managing acute psychopathology.


Subject(s)
Ambulatory Care/statistics & numerical data , COVID-19 , Emergencies/epidemiology , Emergency Services, Psychiatric , Hospitalization/statistics & numerical data , Mental Disorders , Physical Distancing , Adolescent , Age Factors , COVID-19/epidemiology , COVID-19/prevention & control , COVID-19/psychology , Child , Communicable Disease Control/methods , Education, Distance , Emergency Services, Psychiatric/organization & administration , Emergency Services, Psychiatric/statistics & numerical data , Female , Humans , Italy/epidemiology , Male , Mental Disorders/epidemiology , Mental Disorders/psychology , Mental Disorders/therapy , Mental Health/statistics & numerical data , Organizational Innovation , SARS-CoV-2
17.
J Clin Psychiatry ; 82(1)2020 12 08.
Article in English | MEDLINE | ID: covidwho-2066784

ABSTRACT

OBJECTIVE: To assess the prevalence of and risk factors for posttraumatic stress disorder (PTSD) in patients with COVID-19. METHODS: We conducted a cohort study between March and May 2020 at the Lille University Hospital (France), including all patients with laboratory-confirmed COVID-19. Psychological distress symptoms were measured 3 weeks after onset of COVID-19 symptoms using the Impact of Event Scale-6 items (IES-6). The evaluation of PTSD symptoms using the PTSD Checklist for DSM-5 (PCL-5) took place 1 month later. Bivariate analyses were performed to analyze the relationship between PCL-5 scores and the demographic and health variables. The significant variables were then introduced into a multivariable linear regression analysis to establish their relative contributions to the severity of PTSD symptoms. RESULTS: 180 patients were included in this study, and 138 patients completed the 2 evaluations. Among the 180 patients, 70.4% patients required hospitalization, and 30.7% were admitted to the intensive care unit. The prevalence of PTSD was 6.5%, and the predictive factors of PTSD included psychological distress at the onset of the illness and a stay in an intensive care unit. CONCLUSIONS: The prevalence of PTSD in patients with COVID-19 is not as high as that reported among patients during previous epidemics. Initial psychological responses were predictive of a PTSD diagnosis, even though most patients showing acute psychological distress (33.5% of the sample) improved in the following weeks. PTSD symptoms also increased following a stay in an intensive care unit. Future studies should assess the long-term consequences of COVID-19 on patients' mental health.


Subject(s)
COVID-19 , Hospitalization/statistics & numerical data , Intensive Care Units/statistics & numerical data , Psychological Distress , Stress Disorders, Post-Traumatic , Acute Disease , Adult , Aged , Aged, 80 and over , COVID-19/complications , COVID-19/epidemiology , COVID-19/psychology , COVID-19/therapy , Female , Follow-Up Studies , France/epidemiology , Humans , Male , Middle Aged , Prevalence , Severity of Illness Index , Stress Disorders, Post-Traumatic/diagnosis , Stress Disorders, Post-Traumatic/epidemiology , Stress Disorders, Post-Traumatic/etiology
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