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1.
Infect Control Hosp Epidemiol ; 42(1): 89-92, 2021 01.
Article in English | MEDLINE | ID: covidwho-2096391
2.
Infect Control Hosp Epidemiol ; 41(7): 820-825, 2020 Jul.
Article in English | MEDLINE | ID: covidwho-2096308

ABSTRACT

OBJECTIVES: Patients with COVID-19 may present with respiratory syndromes indistinguishable from those caused by common viruses. Early isolation and containment is challenging. Although screening all patients with respiratory symptoms for COVID-19 has been recommended, the practicality of such an effort has yet to be assessed. METHODS: Over a 6-week period during a SARS-CoV-2 outbreak, our institution introduced a "respiratory surveillance ward" (RSW) to segregate all patients with respiratory symptoms in designated areas, where appropriate personal protective equipment (PPE) could be utilized until SARS-CoV-2 testing was done. Patients could be transferred when SARS-CoV-2 tests were negative on 2 consecutive occasions, 24 hours apart. RESULTS: Over the study period, 1,178 patients were admitted to the RSWs. The mean length-of-stay (LOS) was 1.89 days (SD, 1.23). Among confirmed cases of pneumonia admitted to the RSW, 5 of 310 patients (1.61%) tested positive for SARS-CoV-2. This finding was comparable to the pickup rate from our isolation ward. In total, 126 HCWs were potentially exposed to these cases; however, only 3 (2.38%) required quarantine because most used appropriate PPE. In addition, 13 inpatients overlapped with the index cases during their stay in the RSW; of these 13 exposed inpatients, 1 patient subsequently developed COVID-19 after exposure. No patient-HCW transmission was detected despite intensive surveillance. CONCLUSIONS: Our institution successfully utilized the strategy of an RSW over a 6-week period to contain a cluster of COVID-19 cases and to prevent patient-HCW transmission. However, this method was resource-intensive in terms of testing and bed capacity.


Subject(s)
Coronavirus Infections/transmission , Cross Infection/transmission , Infection Control/methods , Infectious Disease Transmission, Patient-to-Professional/prevention & control , Occupational Diseases/prevention & control , Patient Isolation , Pneumonia, Viral/transmission , Population Surveillance/methods , Adult , Aged , Aged, 80 and over , Betacoronavirus , COVID-19 , Coronavirus Infections/diagnosis , Coronavirus Infections/prevention & control , Cross Infection/diagnosis , Cross Infection/prevention & control , Early Diagnosis , Female , Humans , Length of Stay , Male , Middle Aged , Pandemics/prevention & control , Patients' Rooms/organization & administration , Personal Protective Equipment , Pneumonia/virology , Pneumonia, Viral/diagnosis , Pneumonia, Viral/prevention & control , SARS-CoV-2 , Singapore , Symptom Assessment , Tertiary Care Centers
3.
J Am Heart Assoc ; 9(22): e017364, 2020 11 17.
Article in English | MEDLINE | ID: covidwho-2064368

ABSTRACT

Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) utilizes the angiotensin-converting enzyme-2 (ACE-2) receptor to enter human cells. Angiotensin-converting enzyme inhibitors (ACEI) and angiotensin II receptor antagonists (ARB) are associated with ACE-2 upregulation. We hypothesized that antecedent use of ACEI/ARB may be associated with mortality in coronavirus disease 2019 (COVID-19). Methods and Results We used the Coracle registry, which contains data of patients hospitalized with COVID-19 in 4 regions of Italy, and restricted analyses to those ≥50 years of age. The primary outcome was in-hospital mortality. Among these 781 patients, 133 (17.0%) used an ARB and 171 (21.9%) used an ACEI. While neither sex nor smoking status differed by user groups, patients on ACEI/ARB were older and more likely to have hypertension, diabetes mellitus, and congestive heart failure. The overall mortality rate was 15.1% (118/781) and increased with age (PTrend<0.0001). The crude odds ratios (ORs) for death for ACEI users and ARB users were 0.98, 95% CI, 0.60-1.60, P=0.9333, and 1.13, 95% CI, 0.67-1.91, P=0.6385, respectively. After adjusting for age, hypertension, diabetes mellitus, and congestive heart failure, antecedent ACEI administration was associated with reduced mortality (OR, 0.55; 95% CI, 0.31-0.98, P=0.0436); a similar, but weaker trend was observed for ARB administration (OR, 0.58; 95% CI, 0.32-1.07, P=0.0796). Conclusions In those aged ≥50 years hospitalized with COVID-19, antecedent use of ACEI was independently associated with reduced risk of inpatient death. Our findings suggest a protective role of renin-angiotensin-aldosterone system inhibition in patients with high cardiovascular risk affected by COVID-19.


Subject(s)
Angiotensin Receptor Antagonists/therapeutic use , Angiotensin-Converting Enzyme Inhibitors/therapeutic use , COVID-19/therapy , Hospitalization , Age Factors , Aged , Aged, 80 and over , COVID-19/diagnosis , COVID-19/mortality , Female , Hospital Mortality , Humans , Italy , Male , Middle Aged , Protective Factors , Registries , Retrospective Studies , Risk Assessment , Risk Factors , Time Factors , Treatment Outcome
4.
Ann Med ; 53(1): 295-301, 2021 12.
Article in English | MEDLINE | ID: covidwho-1575822

ABSTRACT

INTRODUCTION: Critically ill patients with COVID-19 are at increased risk of developing a hypercoagulable state due to haemostatic changes directly related to the SARS-CoV-2 infection or to the consequence of the cytokine storm. Anticoagulation is now recommended to reduce the thrombotic risk. Ilio-psoas haematoma (IPH) is a potentially lethal condition that can arise during the hospitalization, especially in intensive care units (ICUs) and frequently reported as a complication of anticoagulation treatment. MATERIALS AND METHODS: We report a case series of seven subjects with SARS-CoV-2 pneumonia complicated by Ilio-psoas haematomas (IPHs) at our COVID-Hospital in Rome, Italy. RESULTS: Over the observation period, 925 subjects with confirmed SARS-CoV-2 infection were admitted to our COVID-hospital. Among them, we found seven spontaneous IPHs with an incidence of 7.6 cases per 1000 hospitalization. All the reported cases had a severe manifestation of COVID-19 pneumonia, with at least one comorbidity and 5/7 were on treatment with low weight molecular heparin for micro or macro pulmonary thrombosis. CONCLUSIONS: Given the indications to prescribe anticoagulant therapy in COVID-19 and the lack of solid evidences on the optimal dose and duration, it is important to be aware of the iliopsoas haematoma as a potentially serious complication in COVID-19 inpatients. KEY MESSAGE Critically ill patients with COVID-19 are at increased risk of hypercoagulability state and anticoagulation therapy is recommended. Ilio-psoas haematoma (IPH) is found to be a complication of anticoagulation regimen especially in severe COVID-19 cases. An incidence of 7.6 cases per 1000 admission of IPHs was reported. Hypoesthesia of the lower limbs, pain triggered by femoral rotation, hypovolaemia and anaemia are the most common symptoms and signs of IPHs that should alert physician.


Subject(s)
Anticoagulants/adverse effects , COVID-19/complications , Hematoma/epidemiology , Psoas Muscles/diagnostic imaging , Thrombophilia/drug therapy , Aged , Aged, 80 and over , COVID-19/diagnosis , COVID-19/drug therapy , COVID-19/virology , Critical Illness/mortality , Critical Illness/therapy , Female , Glucocorticoids/therapeutic use , Hematoma/chemically induced , Hematoma/diagnosis , Hematoma/drug therapy , Heparin, Low-Molecular-Weight , Hospital Mortality , Humans , Incidence , Intensive Care Units , Italy/epidemiology , Magnetic Resonance Imaging , Male , Middle Aged , Muscular Diseases , SARS-CoV-2/isolation & purification , SARS-CoV-2/pathogenicity , Severity of Illness Index , Thrombophilia/etiology , Tomography, X-Ray Computed , Treatment Outcome
5.
Clin Infect Dis ; 73(11): e4005-e4011, 2021 12 06.
Article in English | MEDLINE | ID: covidwho-1562130

ABSTRACT

BACKGROUND: Racial disparities are central in the national conversation about coronavirus disease 2019 (COVID-19) , with Black/African Americans being disproportionately affected. We assessed risk factors for death from COVID-19 among Black inpatients at an urban hospital in Detroit, Michigan. METHODS: This was a retrospective, single-center cohort study. We reviewed the electronic medical records of patients positive for severe acute respiratory syndrome coronavirus 2 (the COVID-19 virus) on qualitative polymerase chain reaction assay who were admitted between 8 March 2020 and 6 May 2020. The primary outcome was in-hospital mortality. RESULTS: The case fatality rate was 29.1% (122/419). The mean duration of symptoms prior to hospitalization was 5.3 (3.9) days. The incidence of altered mental status on presentation was higher among patients who died than those who survived, 43% vs 20.0%, respectively (P < .0001). From multivariable analysis, the odds of death increased with age (≥60 years), admission from a nursing facility, Charlson score, altered mental status, higher C-reactive protein on admission, need for mechanical ventilation, presence of shock, and acute respiratory distress syndrome. CONCLUSIONS: These demographic, clinical, and laboratory factors may help healthcare providers identify Black patients at highest risk for severe COVID-19-associated outcomes. Early and aggressive interventions among this at-risk population may help mitigate adverse outcomes.


Subject(s)
COVID-19 , African Americans , Cohort Studies , Hospital Mortality , Hospitalization , Humans , Middle Aged , Retrospective Studies , Risk Factors , SARS-CoV-2
6.
Clin Infect Dis ; 73(11): e4113-e4123, 2021 12 06.
Article in English | MEDLINE | ID: covidwho-1561415

ABSTRACT

BACKGROUND: The relationship between common patient characteristics, such as sex and metabolic comorbidities, and mortality from coronavirus disease 2019 (COVID-19) remains incompletely understood. Emerging evidence suggests that metabolic risk factors may also vary by age. This study aimed to determine the association between common patient characteristics and mortality across age-groups among COVID-19 inpatients. METHODS: We performed a retrospective cohort study of patients discharged from hospitals in the Premier Healthcare Database between April-June 2020. Inpatients were identified using COVID-19 ICD-10-CM diagnosis codes. A priori-defined exposures were sex and present-on-admission hypertension, diabetes, obesity, and interactions between age and these comorbidities. Controlling for additional confounders, we evaluated relationships between these variables and in-hospital mortality in a log-binomial model. RESULTS: Among 66 646 (6.5%) admissions with a COVID-19 diagnosis, across 613 U.S. hospitals, 12 388 (18.6%) died in-hospital. In multivariable analysis, male sex was independently associated with 30% higher mortality risk (aRR, 1.30, 95% CI: 1.26-1.34). Diabetes without chronic complications was not a risk factor at any age (aRR 1.01, 95% CI: 0.96-1.06), and hypertension without chronic complications was a risk factor only in 20-39 year-olds (aRR, 1.68, 95% CI: 1.17-2.40). Diabetes with chronic complications, hypertension with chronic complications, and obesity were risk factors in most age-groups, with highest relative risks among 20-39 year-olds (respective aRRs 1.79, 2.33, 1.92; P-values ≤ .002). CONCLUSIONS: Hospitalized men with COVID-19 are at increased risk of death across all ages. Hypertension, diabetes with chronic complications, and obesity demonstrated age-dependent effects, with the highest relative risks among adults aged 20-39.


Subject(s)
COVID-19 , Adult , COVID-19 Testing , Hospitals , Humans , Inpatients , Male , Retrospective Studies , SARS-CoV-2
7.
Epidemiol Infect ; 148: e168, 2020 08 04.
Article in English | MEDLINE | ID: covidwho-1537262

ABSTRACT

This study aimed to identify clinical features for prognosing mortality risk using machine-learning methods in patients with coronavirus disease 2019 (COVID-19). A retrospective study of the inpatients with COVID-19 admitted from 15 January to 15 March 2020 in Wuhan is reported. The data of symptoms, comorbidity, demographic, vital sign, CT scans results and laboratory test results on admission were collected. Machine-learning methods (Random Forest and XGboost) were used to rank clinical features for mortality risk. Multivariate logistic regression models were applied to identify clinical features with statistical significance. The predictors of mortality were lactate dehydrogenase (LDH), C-reactive protein (CRP) and age based on 500 bootstrapped samples. A multivariate logistic regression model was formed to predict mortality 292 in-sample patients with area under the receiver operating characteristics (AUROC) of 0.9521, which was better than CURB-65 (AUROC of 0.8501) and the machine-learning-based model (AUROC of 0.4530). An out-sample data set of 13 patients was further tested to show our model (AUROC of 0.6061) was also better than CURB-65 (AUROC of 0.4608) and the machine-learning-based model (AUROC of 0.2292). LDH, CRP and age can be used to identify severe patients with COVID-19 on hospital admission.


Subject(s)
Coronavirus Infections/mortality , Coronavirus Infections/therapy , Logistic Models , Machine Learning , Pneumonia, Viral/mortality , Pneumonia, Viral/therapy , Adolescent , Adult , Aged , COVID-19 , China/epidemiology , Female , Hospitalization , Humans , Male , Middle Aged , Pandemics , Prognosis , ROC Curve , Reproducibility of Results , Retrospective Studies , Risk Assessment/methods , Young Adult
9.
J Gen Intern Med ; 36(11): 3456-3461, 2021 11.
Article in English | MEDLINE | ID: covidwho-1525593

ABSTRACT

BACKGROUND: Medical centers across the country have had to rapidly adapt clinician staffing strategies to accommodate large influxes of patients with the coronavirus disease 2019 (COVID-19). OBJECTIVE: We sought to understand the adaptations and staffing strategies that US academic medical centers employed in the inpatient setting early in the spread of COVID-19, and to assess whether those changes were sustained during the first phase of the pandemic. DESIGN: Cross-sectional survey assessing organization-level, team-level, and clinician-level inpatient workforce adaptations. PARTICIPANTS: Hospital medicine leadership at 27 academic medical centers in the USA. KEY RESULTS: Twenty-seven of 36 centers responded to the survey (75%). Widespread practices included frequent staffing reassessment, organization-level changes such as geographic cohorting and redeployment of non-hospitalists, and exempting high-risk healthcare workers from direct care of patients with COVID-19. Several practices were implemented but discontinued, such as reduction of non-essential services, indicating that they were less sustainable for large centers. CONCLUSION: These findings provide guidance for inpatient leaders seeking to identify sustainable practices for COVID-19 inpatient workforce planning.


Subject(s)
COVID-19 , Inpatients , Cross-Sectional Studies , Humans , SARS-CoV-2 , Workforce
10.
J Thromb Thrombolysis ; 52(4): 1032-1035, 2021 Nov.
Article in English | MEDLINE | ID: covidwho-1525576

ABSTRACT

There is a need to discriminate which COVID-19 inpatients are at higher risk for venous thromboembolism (VTE) to inform prophylaxis strategies. The IMPROVE-DD VTE risk assessment model (RAM) has previously demonstrated good discrimination in non-COVID populations. We aimed to externally validate the IMPROVE-DD VTE RAM in medical patients hospitalized with COVID-19. This retrospective cohort study evaluated the IMPROVE-DD VTE RAM in adult patients with COVID-19 admitted to one of thirteen Northwell Health hospitals in the New York metropolitan area between March 1, 2020 and April 27, 2020. VTE was defined as new-onset symptomatic deep venous thrombosis or pulmonary embolism. To assess the predictive value of the RAM, the receiver operating characteristic (ROC) curve was plotted and the area under the curve (AUC) was calculated. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. Of 9407 patients who met study criteria, 274 patients developed VTE with a prevalence of 2.91%. The VTE rate was 0.41% for IMPROVE-DD score 0-1 (low risk), 1.21% for score 2-3 (moderate risk), and 5.30% for score ≥ 4 (high risk). Approximately 45.7% of patients were classified as high VTE risk, 33.3% moderate risk, and 21.0% low risk. Discrimination of low versus moderate-high VTE risk demonstrated sensitivity 0.971, specificity 0.215, PPV 0.036, and NPV 0.996. ROC AUC was 0.703. In this external validation study, the IMPROVE-DD VTE RAM demonstrated very good discrimination to identify hospitalized COVID-19 patients at low, moderate, and high VTE risk.


Subject(s)
COVID-19 , Risk Assessment , Venous Thromboembolism , COVID-19/complications , Humans , Inpatients , New York City , Retrospective Studies , Risk Factors , Venous Thromboembolism/diagnosis , Venous Thromboembolism/epidemiology
11.
Rheumatology (Oxford) ; 60(SI): SI59-SI67, 2021 10 09.
Article in English | MEDLINE | ID: covidwho-1462480

ABSTRACT

OBJECTIVES: To estimate the incidence of COVID-19 hospitalization in patients with inflammatory rheumatic disease (IRD); in patients with RA treated with specific DMARDs; and the incidence of severe COVID-19 infection among hospitalized patients with RA. METHODS: A nationwide cohort study from Denmark between 1 March and 12 August 2020. The adjusted incidence of COVID-19 hospitalization was estimated for patients with RA; spondyloarthritis including psoriatic arthritis; connective tissue disease; vasculitides; and non-IRD individuals. Further, the incidence of COVID-19 hospitalization was estimated for patients with RA treated and non-treated with TNF-inhibitors, HCQ or glucocorticoids, respectively. Lastly, the incidence of severe COVID-19 infection (intensive care, acute respiratory distress syndrome or death) among hospital-admitted patients was estimated for RA and non-IRD sp - individudals. RESULTS: Patients with IRD (n = 58 052) had an increased partially adjusted incidence of hospitalization with COVID-19 compared with the 4.5 million people in the general population [hazard ratio (HR) 1.46, 95% CI: 1.15, 1.86] with strongest associations for patients with RA (n = 29 440, HR 1.72, 95% CI: 1.29, 2.30) and vasculitides (n = 4072, HR 1.82, 95% CI: 0.91, 3.64). There was no increased incidence of COVID-19 hospitalization associated with TNF-inhibitor, HCQ nor glucocorticoid use. COVID-19 admitted patients with RA had a HR of 1.43 (95% CI: 0.80, 2.53) for a severe outcome. CONCLUSION: Patients with IRD were more likely to be admitted with COVID-19 than the general population, and COVID-19 admitted patients with RA could be at higher risk of a severe outcome. Treatment with specific DMARDs did not affect the risk of hospitalization.


Subject(s)
COVID-19/epidemiology , Hospitalization/statistics & numerical data , Rheumatic Diseases/epidemiology , SARS-CoV-2 , Severity of Illness Index , Adult , Aged , Antirheumatic Agents/therapeutic use , COVID-19/complications , Cohort Studies , Denmark/epidemiology , Female , Humans , Incidence , Male , Middle Aged , Rheumatic Diseases/virology
12.
J Med Virol ; 93(10): 5908-5916, 2021 10.
Article in English | MEDLINE | ID: covidwho-1432424

ABSTRACT

The main entry receptor of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is angiotensin-converting enzyme 2 (ACE2). SARS-CoV-2 interactions with ACE2 may increase ectodomain shedding but consequences for the renin-angiotensin system and pathology in Coronavirus disease 2019 (COVID-19) remain unclear. We measured soluble ACE2 (sACE2) and sACE levels by enzyme-linked immunosorbent assay in 114 hospital-treated COVID-19 patients compared with 10 healthy controls; follow-up samples after four months were analyzed for 58 patients. Associations between sACE2 respectively sACE and risk factors for severe COVID-19, outcome, and inflammatory markers were investigated. Levels of sACE2 were higher in COVID-19 patients than in healthy controls, median 5.0 (interquartile range 2.8-11.8) ng/ml versus 1.4 (1.1-1.6) ng/ml, p < .0001. sACE2 was higher in men than women but was not affected by other risk factors for severe COVID-19. sACE2 decreased to 2.3 (1.6-3.9) ng/ml at follow-up, p < .0001, but remained higher than in healthy controls, p = .012. sACE was marginally lower during COVID-19 compared with at follow-up, 57 (45-70) ng/ml versus 72 (52-87) ng/ml, p = .008. Levels of sACE2 and sACE did not differ depending on survival or disease severity. sACE2 during COVID-19 correlated with von Willebrand factor, factor VIII and D-dimer, while sACE correlated with interleukin 6, tumor necrosis factor α, and plasminogen activator inhibitor 1. Conclusions: sACE2 was transiently elevated in COVID-19, likely due to increased shedding from infected cells. sACE2 and sACE during COVID-19 differed in correlations with markers of inflammation and endothelial dysfunction, suggesting release from different cell types and/or vascular beds.


Subject(s)
Angiotensin-Converting Enzyme 2/blood , COVID-19/blood , Adult , Aged , Biomarkers/blood , Female , Follow-Up Studies , Humans , Inflammation , Male , Middle Aged , Peptidyl-Dipeptidase A/blood , Renin-Angiotensin System , Risk Factors , SARS-CoV-2
14.
Eur J Endocrinol ; 185(2): 299-311, 2021 Jul 05.
Article in English | MEDLINE | ID: covidwho-1398974

ABSTRACT

OBJECTIVE: Male sex is one of the determinants of severe coronavirus diseas-e-2019 (COVID-19). We aimed to characterize sex differences in severe outcomes in adults with diabetes hospitalized for COVID-19. METHODS: We performed a sex-stratified analysis of clinical and biological features and outcomes (i.e. invasive mechanical ventilation (IMV), death, intensive care unit (ICU) admission and home discharge at day 7 (D7) or day 28 (D28)) in 2380 patients with diabetes hospitalized for COVID-19 and included in the nationwide CORONADO observational study (NCT04324736). RESULTS: The study population was predominantly male (63.5%). After multiple adjustments, female sex was negatively associated with the primary outcome (IMV and/or death, OR: 0.66 (0.49-0.88)), death (OR: 0.49 (0.30-0.79)) and ICU admission (OR: 0.57 (0.43-0.77)) at D7 but only with ICU admission (OR: 0.58 (0.43-0.77)) at D28. Older age and a history of microvascular complications were predictors of death at D28 in both sexes, while chronic obstructive pulmonary disease (COPD) was predictive of death in women only. At admission, C-reactive protein (CRP), aspartate amino transferase (AST) and estimated glomerular filtration rate (eGFR), according to the CKD-EPI formula predicted death in both sexes. Lymphocytopenia was an independent predictor of death in women only, while thrombocytopenia and elevated plasma glucose concentration were predictors of death in men only. CONCLUSIONS: In patients with diabetes admitted for COVID-19, female sex was associated with lower incidence of early severe outcomes, but did not influence the overall in-hospital mortality, suggesting that diabetes mitigates the female protection from COVID-19 severity. Sex-associated biological determinants may be useful to optimize COVID-19 prevention and management in women and men.


Subject(s)
COVID-19/diagnosis , COVID-19/epidemiology , Diabetes Mellitus/diagnosis , Diabetes Mellitus/epidemiology , Sex Characteristics , Aged , Aged, 80 and over , COVID-19/complications , COVID-19/therapy , Diabetes Complications/diagnosis , Diabetes Complications/epidemiology , Female , France/epidemiology , Hospital Mortality , Hospitalization/statistics & numerical data , Humans , Incidence , Inpatients , Intensive Care Units/statistics & numerical data , Male , Middle Aged , Prognosis , Respiration, Artificial/statistics & numerical data , Retrospective Studies , Risk Factors , SARS-CoV-2/physiology , Severity of Illness Index
15.
Clin Infect Dis ; 73(Suppl 1): S5-S16, 2021 07 15.
Article in English | MEDLINE | ID: covidwho-1364773

ABSTRACT

BACKGROUND: Late sequelae of COVID-19 have been reported; however, few studies have investigated the time course or incidence of late new COVID-19-related health conditions (post-COVID conditions) after COVID-19 diagnosis. Studies distinguishing post-COVID conditions from late conditions caused by other etiologies are lacking. Using data from a large administrative all-payer database, we assessed type, association, and timing of post-COVID conditions following COVID-19 diagnosis. METHODS: Using the Premier Healthcare Database Special COVID-19 Release (release date, 20 October 2020) data, during March-June 2020, 27 589 inpatients and 46 857 outpatients diagnosed with COVID-19 (case-patients) were 1:1 matched with patients without COVID-19 through the 4-month follow-up period (control-patients) by using propensity score matching. In this matched-cohort study, adjusted ORs were calculated to assess for late conditions that were more common in case-patients than control-patients. Incidence proportion was calculated for conditions that were more common in case-patients than control-patients during 31-120 days following a COVID-19 encounter. RESULTS: During 31-120 days after an initial COVID-19 inpatient hospitalization, 7.0% of adults experienced ≥1 of 5 post-COVID conditions. Among adult outpatients with COVID-19, 7.7% experienced ≥1 of 10 post-COVID conditions. During 31-60 days after an initial outpatient encounter, adults with COVID-19 were 2.8 times as likely to experience acute pulmonary embolism as outpatient control-patients and also more likely to experience a range of conditions affecting multiple body systems (eg, nonspecific chest pain, fatigue, headache, and respiratory, nervous, circulatory, and gastrointestinal symptoms) than outpatient control-patients. CONCLUSIONS: These findings add to the evidence of late health conditions possibly related to COVID-19 in adults following COVID-19 diagnosis and can inform healthcare practice and resource planning for follow-up COVID-19 care.


Subject(s)
COVID-19 , Outpatients , Adult , COVID-19 Testing , Cohort Studies , Humans , Inpatients , SARS-CoV-2 , United States/epidemiology
16.
Neuropsychiatr Dis Treat ; 17: 413-422, 2021.
Article in English | MEDLINE | ID: covidwho-1328031

ABSTRACT

PURPOSE: COVID-19 patients faced first-hand the life-threatening consequences of the disease, oftentimes involving prolonged hospitalization in isolation from family and friends. This study aimed at describing the psychological intervention to address the psychological difficulties and issues encountered by the hospitalized post-acute COVID-19 patients in a rehabilitation setting. PATIENTS AND METHODS: Patients' demographics, medical diagnosis, and neuro-psychological information were collected from March 2nd to May 12th, 2020. The main psychological issues and intervention strategies were collected. RESULTS: A total of 181 patients were hospitalized during this period. Among them, the 47.5% underwent psychological assessment (N=86; age: 74.58±13.39; 54.7% females). The most common psychological issues were acute stress disorders (18.6%), anxious and demoralization symptoms (26.7%), depression (10.5%%), and troublesome grief (8.1%). Once recovered from COVID-19, many patients were discharged home (38.4%), some received further rehabilitation in non-COVID-19 wards (41.9%), mostly due to pre-existent diseases (72.2%) rather than to COVID-19 complications (27.8%). CONCLUSION: A great number of the hospitalized post-acute COVID-19 patients showed psychological issues requiring psychological intervention, the most common were anxiety, demoralization, acute stress, depression, and grief. The proposed psychological treatment for hospitalized COVID-19 patients was conducted in a Cognitive Behavioral framework. In particular, during the COVID-19 pandemic, psychological intervention is an important part of rehabilitation in the post-acute phase of the illness to reduce distress symptoms and improve psychological health.

17.
Med (N Y) ; 2(6): 755-772.e5, 2021 06 11.
Article in English | MEDLINE | ID: covidwho-1300946

ABSTRACT

BACKGROUND: Sexual dimorphisms in immune responses contribute to coronavirus disease 2019 (COVID-19) outcomes, but the mechanisms governing this disparity remain incompletely understood. METHODS: We carried out sex-balanced sampling of peripheral blood mononuclear cells from hospitalized and non-hospitalized individuals with confirmed COVID-19, uninfected close contacts, and healthy control individuals for 36-color flow cytometry and single-cell RNA sequencing. FINDINGS: Our results revealed a pronounced reduction of circulating mucosal-associated invariant T (MAIT) cells in infected females. Integration of published COVID-19 airway tissue datasets suggests that this reduction represented a major wave of MAIT cell extravasation during early infection in females. Moreover, MAIT cells from females possessed an immunologically active gene signature, whereas cells from males were pro-apoptotic. CONCLUSIONS: Our findings uncover a female-specific protective MAIT cell profile, potentially shedding light on reduced COVID-19 susceptibility in females. FUNDING: This work was supported by NIH/NIAID (U01AI066569 and UM1AI104681), the Defense Advanced Projects Agency (DARPA; N66001-09-C-2082 and HR0011-17-2-0069), the Veterans Affairs Health System, and Virology Quality Assurance (VQA; 75N93019C00015). The content is solely the responsibility of the authors and does not necessarily represent the official view of the National Institutes of Health. COVID-19 samples were processed under Biosafety level 2 (BSL-2) with aerosol management enhancement or BSL-3 in the Duke Regional Biocontainment Laboratory, which received partial support for construction from NIH/NIAID (UC6AI058607).


Subject(s)
COVID-19 , Mucosal-Associated Invariant T Cells , Female , Flow Cytometry , Humans , Leukocytes, Mononuclear , Lymphocyte Activation , Male , United States
18.
J Psychiatr Pract ; 27(2): 131-136, 2021 Mar 05.
Article in English | MEDLINE | ID: covidwho-1291391

ABSTRACT

INTRODUCTION: Coronavirus Disease 2019 (COVID-19) is a pandemic infection caused by the Severe Acute Respiratory Syndrome 2 Coronavirus (SARS-2-CoV). Although most prominently associated with pulmonary manifestations, COVID-19 is increasingly implicated in neuropsychiatric complications, including delirium and psychosis. There is a potential causal link between COVID-19 infection and psychotic symptoms; however, case reports to date have been incomplete, as the patients described had known psychiatric histories or other plausible medical causes for altered mental status. We present a longitudinal case of COVID-19 psychosis in a patient who underwent comprehensive diagnostic evaluation. This case is a contribution to the inchoate characterization of neuropsychiatric manifestations of COVID-19 infection. CASE REPORT: We present a case of late-onset psychosis in a middle-aged man with no psychiatric history who tested positive for COVID-19 on admission following a recently resolved upper respiratory illness. His acute presentation-characterized by delusions, hallucinations, and disorganized thought and behavior, for which he required inpatient medical admission and subsequent inpatient psychiatric hospitalization-was successfully treated. During his hospitalization, he underwent comprehensive medical and neurological workup (including neuroimaging; electroencephalography; and serum and cerebrospinal fluid testing) that was grossly unremarkable. DISCUSSION: Despite myriad potential causes of the patient's psychosis, this patient's diagnostic workup was largely unrevealing, apart from his nasopharyngeal SARS-2-CoV reverse transcriptase polymerase chain reaction assay. As such, psychosis secondary to COVID-19 infection emerged as the presumptive diagnosis.


Subject(s)
COVID-19/complications , COVID-19/psychology , Psychotic Disorders/complications , Psychotic Disorders/psychology , Acute Disease , Antipsychotic Agents/therapeutic use , COVID-19/diagnosis , COVID-19 Nucleic Acid Testing , Humans , Longitudinal Studies , Male , Middle Aged , Psychotic Disorders/drug therapy , Risperidone/therapeutic use , SARS-CoV-2
20.
Turk Thorac J ; 22(2): 149-153, 2021 Mar.
Article in English | MEDLINE | ID: covidwho-1285489

ABSTRACT

OBJECTIVE: This study aimed to focus on non-COVID-19 patients during the process when all physicians focused on COVID-19 patients. Patients with pulmonary diseases in the COVID-19 pandemic period were analyzed. MATERIAL AND METHODS: Non-COVID-19 cases who were hospitalized in the pulmonology clinic, outpatients, and patients who applied to the non-COVID-19 emergency service and requested a pulmonology consultation in the period from March 16, 2020 to May 15, 2020 and in the same period of the previous year (i.e., from March 16, 2019 to May 15, 2019) were included in this study. RESULTS: In the pandemic period, it was found that there was an 84% decrease in outpatient admissions, a 43% decrease in inpatients, and a 75% decrease in emergency services. During the pandemic period, in outpatient setting, male and younger case admissions increased, admissions with chronic obstructive pulmonary disease (COPD), and interstitial lung diseases decreased, whereas the frequency of admission to asthma, pneumonia, and pulmonary thromboembolism increased. In the period of the pandemic, patients with asthma, COPD, and lung cancer were less hospitalized, whereas patients with pulmonary thromboembolism, pneumonia, and pleural effusion were hospitalized more. In non-COVID-19 patient treatments during the pandemic period, usage of a metered dose inhaler increased. CONCLUSION: During the COVID-19 pandemic, non-COVID pulmonary pathologies decreased significantly, and there was a change in the profile of the patients. From now on, to be prepared for pandemic and similar extraordinary situations, to organize hospitals for the epidemic, to determine health institutions to which nonepidemic patients can apply, to make necessary plans in order not to neglect the nonepidemic patients, and to develop digital health service methods, especially telemedicine, would be appropriate.

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