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Can the ADO Index Be Used as a Predictor of Mortality from COVID-19 in Patients with COPD?
Yazar, Esra Ertan; Gunluoglu, Gulsah; Arpinar Yigitbas, Burcu; Calikoglu, Mukadder; Gulbas, Gazi; Yilmaz Demirci, Nilgün; Sarioglu, Nurhan; Bozkus, Fulsen; Hoca, Nevin Taci; Ogan, Nalan; Tural Onur, Seda; Turan, Muzaffer Onur; Kosar, Filiz; Akpinar, Evrim Eylem; Mete, Burak; Ozturk, Can.
Afiliação
  • Yazar EE; Department of Chest Diseases, Istanbul Medeniyet University, Medical Faculty, Istanbul, Turkey.
  • Gunluoglu G; Department of Chest Diseases, Yedikule Chest Disease and Chest Surgery Research and Training Hospital, Istanbul, Turkey.
  • Arpinar Yigitbas B; Department of Chest Diseases, Istanbul Medeniyet University, Medical Faculty, Istanbul, Turkey.
  • Calikoglu M; Department of Chest Diseases, Mersin University, Medical Faculty, Mersin, Turkey.
  • Gulbas G; Department of Chest Diseases, Inonu University, Medical Faculty, Malatya, Turkey.
  • Yilmaz Demirci N; Department of Chest Diseases, Gazi University, Medical Faculty, Ankara, Turkey.
  • Sarioglu N; Department of Chest Diseases, Balikesir University, Medical Faculty, Balikesir, Turkey.
  • Bozkus F; Department of Chest Diseases, Kahramanmaras Sutcu Imam University, Medical Faculty, Kahramanmaras, Turkey.
  • Hoca NT; Department of Chest Diseases, Gazi University, Medical Faculty, Ankara, Turkey.
  • Ogan N; Department of Chest Diseases, Ufuk University, Medical Faculty, Ankara, Turkey.
  • Tural Onur S; Department of Chest Diseases, Yedikule Chest Disease and Chest Surgery Research and Training Hospital, Istanbul, Turkey.
  • Turan MO; Department of Chest Diseases, Prof Dr, Izmir Katip Celebi University, Atatürk Research and Training Hospital, Izmir, Turkey.
  • Kosar F; Department of Chest Diseases, Yedikule Chest Disease and Chest Surgery Research and Training Hospital, Istanbul, Turkey.
  • Akpinar EE; Department of Chest Diseases, Ufuk University, Medical Faculty, Ankara, Turkey.
  • Mete B; Department of Public Health Çukurova University, Medical Faculty, Adana, Turkey.
  • Ozturk C; Department of Chest Diseases, Gazi University, Medical Faculty, Ankara, Turkey.
Article em En | MEDLINE | ID: mdl-38596202
ABSTRACT

Background:

Several studies have shown that the risk of mortality due to COVID-19 is high in patients with COPD. However, evidence on factors predicting mortality is limited. Research Question Are there any useful markers to predict mortality in COVID-19 patients with COPD?. Study Design and

Methods:

A total of 689 patients were included in this study from the COPET study, a national multicenter observational study investigating COPD phenotypes consisting of patients who were followed up with a spirometry-confirmed COPD diagnosis. Patients were also retrospectively examined in terms of COVID-19 and their outcomes.

Results:

Among the study patients, 105 were diagnosed with PCR-positive COVID-19, and 19 of them died. Body mass index (p= 0.01) and ADO (age, dyspnoea, airflow obstruction) index (p= 0.01) were higher, whereas predicted FEV1 (p< 0.001) and eosinophil count (p= 0.003) were lower in patients who died of COVID-19. Each 0.755 unit increase in the ADO index increased the risk of death by 2.12 times, and each 0.007 unit increase in the eosinophil count decreased the risk of death by 1.007 times. The optimum cut-off ADO score of 3.5 was diagnostic with 94% sensitivity and 40% specificity in predicting mortality.

Interpretation:

Our study suggested that the ADO index recorded in the stable period in patients with COPD makes a modest contribution to the prediction of mortality due to COVID-19. Further studies are needed to validate the use of the ADO index in estimating mortality in both COVID-19 and other viral respiratory infections in patients with COPD.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença Pulmonar Obstrutiva Crônica / COVID-19 Limite: Humans Idioma: En Revista: Int J Chron Obstruct Pulmon Dis Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença Pulmonar Obstrutiva Crônica / COVID-19 Limite: Humans Idioma: En Revista: Int J Chron Obstruct Pulmon Dis Ano de publicação: 2024 Tipo de documento: Article