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1.
CHEST ; 162(4):A646-A647, 2022.
Article in English | Academic Search Complete | ID: covidwho-2060658
2.
Intern Emerg Med ; 17(7): 1879-1889, 2022 10.
Article in English | MEDLINE | ID: covidwho-1906508

ABSTRACT

Predictive models for key outcomes of coronavirus disease 2019 (COVID-19) can optimize resource utilization and patient outcome. We aimed to design and internally validate a web-based calculator predictive of hospitalization and length of stay (LOS) in a large cohort of COVID-19-positive patients presenting to the Emergency Department (ED) in a New York City health system. The study cohort consisted of consecutive adult (> 18 years) patients presenting to the ED of Mount Sinai Health System hospitals between March 2020 and April 2020, diagnosed with COVID-19. Logistic regression was utilized to construct predictive models for hospitalization and prolonged (> 3 days) LOS. Discrimination was evaluated using area under the receiver operating curve (AUC). Internal validation with bootstrapping was performed, and a web-based calculator was implemented. From 5859 patients, 65% were hospitalized. Independent predictors of hospitalization and extended LOS included older age, chronic kidney disease, elevated maximum temperature, and low minimum oxygen saturation (p < 0.001). Additional predictors of hospitalization included male sex, chronic obstructive pulmonary disease, hypertension, and diabetes. AUCs of 0.881 and 0.770 were achieved for hospitalization and LOS, respectively. Elevated levels of CRP, creatinine, and ferritin were key determinants of hospitalization and LOS (p < 0.05). A calculator was made available under the following URL: https://covid19-outcome-prediction.shinyapps.io/COVID19_Hospitalization_Calculator/ . This study yielded internally validated models that predict hospitalization risk in COVID-19-positive patients, which can be used to optimize resource allocation. Predictors of hospitalization and extended LOS included older age, CKD, fever, oxygen desaturation, elevated C-reactive protein, creatinine, and ferritin.


Subject(s)
COVID-19 , Adult , C-Reactive Protein , COVID-19/epidemiology , COVID-19/therapy , Creatinine , Ferritins , Hospitalization , Humans , Length of Stay , Male , New York City/epidemiology , Oxygen , Retrospective Studies , SARS-CoV-2
4.
Expert Rev Respir Med ; 15(11): 1377-1386, 2021 11.
Article in English | MEDLINE | ID: covidwho-1437786

ABSTRACT

INTRODUCTION: Asthma is one of the most common chronic diseases worldwide. As a disease of the respiratory tract, the site of entry for the SARS-CoV-2 virus, there may be an important interplay between asthma and COVID-19 disease. AREAS COVERED: We report asthma prevalence among hospitalized cohorts with COVID-19. Those with non-allergic and severe asthma may be at increased risk of a worsened clinical outcome from COVID-19 infection. We explore the epidemiology of asthma as a risk factor for the severity of COVID-19 infection. We then consider the role COVID-19 may play in leading to exacerbations of asthma. The impact of asthma endotype on outcome is discussed. Lastly, we address the safety of common asthma therapeutics. A literature search was performed with relevant terms for each of the sections of the review using PubMed, Google Scholar, and Medline. EXPERT OPINION: Asthma diagnosis may be a risk factor for severe COVID-19 especially for those with severe disease or nonallergic phenotypes. COVID-19 does not appear to provoke asthma exacerbations and asthma therapeutics should be continued for patients with exposure to COVID-19. Clearly much regarding this topic remains unknown and we identify some key questions that may be of interest for future researchers.[Figure: see text].


Subject(s)
Asthma , COVID-19 , Asthma/diagnosis , Asthma/epidemiology , Humans , Prevalence , Risk Factors , SARS-CoV-2
6.
J Thromb Thrombolysis ; 52(4): 1061-1067, 2021 Nov.
Article in English | MEDLINE | ID: covidwho-1220016

ABSTRACT

Coronavirus disease 2019 (COVID-19) is associated with abnormal hemostasis, autopsy evidence of systemic microthrombosis, and a high prevalence of venous thromboembolic disease. Tissue plasminogen activator (tPA) has been used in patients with critically ill COVID-19 with high clinical suspicion of pulmonary embolism (PE). A retrospective cohort study of 6095 hospitalized COVID-19 patients at 5 acute care hospitals in New York was conducted. 57 patients received tPA for presumed PE during March 10th to April 27th. The mean age was 60.8 ± 10.8 years, and 71.9% (41/57) were male. We defined strongly suspected PE among 75.4% (43/57) of patients who had acute worsening of hypoxia and acute hypotension requiring pressors. The findings suggestive of PE included right ventricular (RV) strain in 15.8% (9/57), deep venous thrombosis (DVT) in 7.0% (4/57), increased dead space ventilation (Vd) in 31.6% (18/57) of patients, respectively. RV strain and RV thrombus were present in 3.5% (2/57), RV strain and DVT in 5.3% (3/57), RV strain and increased Vd in 8.8% (5/57), and DVT and increased Vd in 3.5% (2/57) of patients. Chest CT Angiography was not performed in any of the patients. Following tPA infusion, 49.1% (28/57) of patients demonstrated improvement. Six patients (10.5%) survived to discharge, of whom 2 received extracorporeal membrane oxygenation and were transferred to other facilities for lung transplant, 2 were discharged home, and 2 were discharged to a rehabilitation facility. However, overall mortality was 89.5%. The utility of tPA for critically ill patients with COVID-19 and presumed PE warrants further studies.


Subject(s)
COVID-19 , Pulmonary Embolism , Thrombolytic Therapy , Thrombosis , Aged , COVID-19/complications , COVID-19/mortality , Critical Illness , Female , Humans , Male , Middle Aged , New York City , Pulmonary Embolism/drug therapy , Retrospective Studies , Thrombosis/drug therapy , Tissue Plasminogen Activator
7.
BMJ Open Respir Res ; 8(1)2021 04.
Article in English | MEDLINE | ID: covidwho-1166518

ABSTRACT

BACKGROUND: Corticosteroids are a potential therapeutic agent for patients with COVID-19 pneumonia. The RECOVERY (Randomised Trials in COVID-19 Therapy) trial provided data on the mortality benefits of corticosteroids. The study aimed to determine the association between corticosteroid use on mortality and infection rates and to define subgroups who may benefit from corticosteroids in a real-world setting. METHODS: Clinical data were extracted that included demographic, laboratory data and details of the therapy, including the administration of corticosteroids, azithromycin, hydroxychloroquine, tocilizumab and anticoagulation. The primary outcome was in-hospital mortality. Secondary outcomes included intensive care unit (ICU) admission and invasive mechanical ventilation. Outcomes were compared in patients who did and did not receive corticosteroids using the multivariate Cox regression model. RESULTS: 4313 patients were hospitalised with COVID-19 during the study period, of whom 1270 died (29.4%). When administered within the first 7 days after admission, corticosteroids were associated with reduced mortality (OR 0.73, 95% CI 0.55 to 0.97, p=0.03) and decreased transfers to the ICU (OR 0.72, 95% CI 0.47 to 1.11, p=0.02). This mortality benefit was particularly impressive in younger patients (<65 years of age), females and those with elevated inflammatory markers, defined as C reactive protein ≥150 mg/L (p≤0.05), interleukin-6 ≥20 pg/mL (p≤0.05) or D-dimer ≥2.0 µg/L (p≤0.05). Therapy was safe with similar rates of bacteraemia and fungaemia in corticosteroid-treated and non-corticosteroid-treated patients. CONCLUSION: In patients hospitalised with COVID-19 pneumonia, corticosteroid use within the first 7 days of admission decreased mortality and ICU admissions with no associated increase in bacteraemia or fungaemia.


Subject(s)
Adrenal Cortex Hormones/therapeutic use , COVID-19 Drug Treatment , Hospitalization , Adult , Aged , Aged, 80 and over , Anti-Inflammatory Agents/therapeutic use , COVID-19/complications , COVID-19/mortality , Cohort Studies , Female , Hospital Mortality , Humans , Male , Middle Aged , New York City , Survival Rate
8.
Ann Allergy Asthma Immunol ; 127(1): 42-48, 2021 07.
Article in English | MEDLINE | ID: covidwho-1155397

ABSTRACT

BACKGROUND: The impact of asthma diagnosis and asthma endotype on outcomes from coronavirus disease 2019 (COVID-19) infection remains unclear. OBJECTIVE: To describe the association between asthma diagnosis and endotype and clinical outcomes among patients diagnosed as having COVID-19 infection. METHODS: Retrospective multicenter cohort study of outpatients and inpatients presenting to 6 hospitals in the Mount Sinai Health System New York metropolitan region between March 7, 2020, and June 7, 2020, with COVID-19 infection, with and without a history of asthma. The primary outcome evaluated was in-hospital mortality. Secondary outcomes included hospitalization, intensive care unit admission, mechanical ventilation, and hospital length of stay. The outcomes were compared in patients with or without asthma using a multivariate Cox regression model. The outcomes stratified by blood eosinophilia count were also evaluated. RESULTS: Of 10,523 patients diagnosed as having COVID-19 infection, 4902 were hospitalized and 468 had a diagnosis of asthma (4.4%). When adjusted for COVID-19 disease severity, comorbidities, and concurrent therapies, patients with asthma had a lower mortality (adjusted odds ratio [OR], 0.64 (0.53-0.77); P < .001) and a lower rate of hospitalization and intensive care unit admission (OR, 0.43 (0.28-0.64); P < .001 and OR, 0.51 (0.41-0.64); P < .001, respectively). Those with blood eosinophils greater than or equal to 200 cells/µL, both with and without asthma, had lower mortality. CONCLUSION: Patients with asthma may be at a reduced risk of poor outcomes from COVID-19 infection. Eosinophilia, both in those with and without asthma, may be associated with reduced mortality risk.


Subject(s)
Asthma/epidemiology , COVID-19/epidemiology , COVID-19/therapy , Eosinophilia/epidemiology , Adult , Aged , Asthma/mortality , COVID-19/mortality , Comorbidity , Eosinophilia/mortality , Female , Hospital Mortality , Hospitalization/statistics & numerical data , Humans , Intensive Care Units/statistics & numerical data , Length of Stay/statistics & numerical data , Male , Middle Aged , Multivariate Analysis , New York/epidemiology , Proportional Hazards Models , Respiration, Artificial/statistics & numerical data , Retrospective Studies , Severity of Illness Index
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