Your browser doesn't support javascript.
loading
Increase in COVID-19 inpatient survival following detection of Thromboembolic and Cytokine storm risk from the point of admission to hospital by a near real time Traffic-light System (TraCe-Tic)
Vizcaychipi, Marcela P.; Shovlin, Claire L.; McCarthy, Alex; Godfrey, Andrew; Patel, Sheena; Shah, Pallav L.; Hayes, Michelle; Keays, Richard T.; Beveridge, Iain; Davies, Gary.
Afiliação
  • Vizcaychipi, Marcela P.; NHS Foundation Trust, Anaesthesia and Intensive Care. Chelsea & Westminster Hospital. London. GB
  • Shovlin, Claire L.; Imperial College London. NHLI Vascular Science. London. GB
  • McCarthy, Alex; NHS Foundation Trust, Information, Data Quality and Clinical Coding. Chelsea & Westminster Hospital. London. GB
  • Godfrey, Andrew; NHS Foundation Trust, Haematology. Chelsea & Westminster Hospital. London. GB
  • Patel, Sheena; NHS Foundation Trust, Pharmacy. Chelsea & Westminster Hospital. London. GB
  • Shah, Pallav L.; NHS Foundation Trust, Respiratory Medicine. Chelsea & Westminster Hospital. London. GB
  • Hayes, Michelle; NHS Foundation Trust, Anaesthesia and Intensive Care. Chelsea & Westminster Hospital. London. GB
  • Keays, Richard T.; NHS Foundation Trust, Anaesthesia and Intensive Care. Chelsea & Westminster Hospital. London. GB
  • Beveridge, Iain; NHS Foundation Trust. West Middlesex University Hospital. Department of Anaesthesia & Intensive Care Medicine. Isleworth. GB
  • Davies, Gary; NHS Foundation Trust, Respiratory Medicine. Chelsea & Westminster Hospital. London. GB
Braz. j. infect. dis ; 24(5): 412-421, Sept.-Oct. 2020. tab, graf
Artigo em Inglês | LILACS, Coleciona SUS | ID: biblio-1142550
Biblioteca responsável: BR1.1
ABSTRACT
Abstract Introduction Our goal was to evaluate if traffic-light driven personalized care for COVID-19 was associated with improved survival in acute hospital settings. Methods Discharge outcomes were evaluated before and after prospective implementation of a real-time dashboard with feedback to ward-based clinicians. Thromboembolism categories were "medium-risk" (D-dimer >1000 ng/mL or CRP >200 mg/L); "high-risk" (D-dimer >3000 ng/mL or CRP >250 mg/L) or "suspected" (D-dimer >5000 ng/mL). Cytokine storm risk was categorized by ferritin. Results 939/1039 COVID-19 positive patients (median age 67 years, 563/939 (60%) male) completed hospital encounters to death or discharge by 21st May 2020. Thromboembolism flag criteria were reached by 568/939 (60.5%), including 238/275 (86.6%) of the patients who died, and 330/664 (49.7%) of the patients who survived to discharge, p < 0.0001. Cytokine storm flag criteria were reached by 212 (22.6%) of admissions, including 80/275 (29.1%) of the patients who died, and 132/664 (19.9%) of the patients who survived, p < 0.0001. The maximum thromboembolism flag discriminated completed encounter mortality (no flag 37/371 [9.97%] died; medium-risk 68/239 [28.5%]; high-risk 105/205 [51.2%]; and suspected thromboembolism 65/124 [52.4%], p < 0.0001). Flag criteria were reached by 535 consecutive COVID-19 positive patients whose hospital encounter completed before traffic-light

introduction:

173/535 (32.3% [95% confidence intervals 28.0, 36.0]) died. For the 200 consecutive admissions after implementation of real-time traffic light flags, 46/200 (23.0% [95% confidence intervals 17.1, 28.9]) died, p = 0.013. Adjusted for age and sex, the probability of death was 0.33 (95% confidence intervals 0.30, 0.37) before traffic light implementation, 0.22 (0.17, 0.27) after implementation, p < 0.001. In subgroup analyses, older patients, males, and patients with hypertension (p ≤ 0.01), and/or diabetes (p = 0.05) derived the greatest benefit from admission under the traffic light system. Conclusion Personalized early interventions were associated with a 33% reduction in early mortality. We suggest benefit predominantly resulted from early triggers to review/enhance anticoagulation management, without exposing lower-risk patients to potential risks of full anticoagulation therapy.
Assuntos


Texto completo: Disponível Coleções: Bases de dados nacionais / Brasil Contexto em Saúde: ODS3 - Meta 3.3 Acabar com as doenças tropicais negligenciadas e combater as doenças transmissíveis / ODS3 - Meta 3.4 Reduzir as mortes prematuras devido doenças não transmissíveis Problema de saúde: COVID-19 / Pneumonía / Doença Cardiovascular / Outras Doenças Respiratórias Base de dados: LILACS / Coleciona SUS Assunto principal: Pneumonia Viral / Tromboembolia / Infecções por Coronavirus / Pandemias Tipo de estudo: Estudo diagnóstico / Estudo de etiologia / Fatores de risco Limite: Idoso / Humanos / Masculino Idioma: Inglês Revista: Braz. j. infect. dis Ano de publicação: 2020 Tipo de documento: Artigo Instituição/País de afiliação: Imperial College London/GB / NHS Foundation Trust/GB / NHS Foundation Trust, Anaesthesia and Intensive Care/GB / NHS Foundation Trust, Haematology/GB / NHS Foundation Trust, Information, Data Quality and Clinical Coding/GB / NHS Foundation Trust, Pharmacy/GB / NHS Foundation Trust, Respiratory Medicine/GB

Texto completo: Disponível Coleções: Bases de dados nacionais / Brasil Contexto em Saúde: ODS3 - Meta 3.3 Acabar com as doenças tropicais negligenciadas e combater as doenças transmissíveis / ODS3 - Meta 3.4 Reduzir as mortes prematuras devido doenças não transmissíveis Problema de saúde: COVID-19 / Pneumonía / Doença Cardiovascular / Outras Doenças Respiratórias Base de dados: LILACS / Coleciona SUS Assunto principal: Pneumonia Viral / Tromboembolia / Infecções por Coronavirus / Pandemias Tipo de estudo: Estudo diagnóstico / Estudo de etiologia / Fatores de risco Limite: Idoso / Humanos / Masculino Idioma: Inglês Revista: Braz. j. infect. dis Ano de publicação: 2020 Tipo de documento: Artigo Instituição/País de afiliação: Imperial College London/GB / NHS Foundation Trust/GB / NHS Foundation Trust, Anaesthesia and Intensive Care/GB / NHS Foundation Trust, Haematology/GB / NHS Foundation Trust, Information, Data Quality and Clinical Coding/GB / NHS Foundation Trust, Pharmacy/GB / NHS Foundation Trust, Respiratory Medicine/GB
...