Loading...
A definitive prognostication system for patients with thoracic malignancies diagnosed with COVID-19: an update from the TERAVOLT registry
Whisenant, J. G. ; Baena, J. ; Cortellini, A. ; Huang, L. C. ; Lo Russo, G. ; Porcu, L. ; Wong, S. K. ; Bestvina, C. M. ; Hellmann, M. D. ; Roca, E. ... show 10 more
Whisenant, J. G.
Baena, J.
Cortellini, A.
Huang, L. C.
Lo Russo, G.
Porcu, L.
Wong, S. K.
Bestvina, C. M.
Hellmann, M. D.
Roca, E.
Citations
Altmetric:
Abstract
Background: Patients with thoracic malignancies are at increased risk for mortality from 4 Coronavirus disease 2019 (COVID-19) and large number of intertwined prognostic variables have 5 been identified so far. 6 Methods: Capitalizing data from the TERAVOLT registry, a global study created with the aim of 7 describing the impact of COVID-19 in patients with thoracic malignancies, we used a clustering 8 approach, a fast-backward step-down selection procedure and a tree-based model to screen and 9 optimize a broad panel of demographics, clinical COVID-19 and cancer characteristics. 10 Results: As of April 15, 2021, 1491 consecutive evaluable patients from 18 countries were 11 included in the analysis. With a mean observation period of 42 days, 361 events were reported 12 with an all-cause case fatality rate of 24.2%. The clustering procedure screened approximately 13 73 covariates in 13 clusters. A further multivariable logistic regression for the association between 14 clusters and death was performed, resulting in five clusters significantly associated with the 15 outcome. The fast-backward step-down selection then identified seven major determinants of 16 death ECOG-PS (OR 2.47 1.87-3.26), neutrophil count (OR 2.46 1.76-3.44), serum procalcitonin 17 (OR 2.37 1.64-3.43), development of pneumonia (OR 1.95 1.48-2.58), c-reactive protein (CRP) 18 (OR 1.90 1.43-2.51), tumor stage at COVID-19 diagnosis (OR 1.97 1.46-2.66) and age (OR 1.71 19 1.29-2.26). The ROC analysis for death of the selected model confirmed its diagnostic ability 20 (AUC 0.78; 95%CI: 0.75 – 0.81). The nomogram was able to classify the COVID-19 mortality in 21 an interval ranging from 8% to 90% and the tree-based model recognized ECOG-PS, neutrophil 22 count and CRP as the major determinants of prognosis. 23 Conclusion: From 73 variables analyzed, seven major determinants of death have been 24 identified. Poor ECOG-PS demonstrated the strongest association with poor outcome from 25 COVID-19. With our analysis we provide clinicians with a definitive prognostication system to help 26 determine the risk of mortality for patients with thoracic malignancies and COVID-19.
Authors
Whisenant, J. G.
Baena, J.
Cortellini, A.
Huang, L. C.
Lo Russo, G.
Porcu, L.
Wong, S. K.
Bestvina, C. M.
Hellmann, M. D.
Roca, E.
Rizvi, H.
Monnet, I.
Boudjemaa, A.
Rogado, J.
Pasello, G.
Leighl, N. B.
Arrieta, O.
Aujayeb, A.
Batra, U.
Azzam, A. Y.
Unk, M.
Azab, M. A.
Zhumagaliyeva, A. N.
Gomez-Martin, C.
Blaquier, J. B.
Geraedts, E.
Mountzios, G.
Serrano-Montero, G.
Reinmuth, N.
Coate, L.
Marmarelis, M.
Presley, C. J.
Hirsch, F. R.
Garrido, P.
Khan, H.
Baggi, A.
Mascaux, C.
Halmos, B.
Ceresoli, G. L.
Fidler, M. J.
Scotti, V.
Métivier, A. C.
Falchero, L.
Felip, E.
Genova, C.
Mazieres, J.
Tapan, U.
Brahmer, J.
Bria, E.
Puri, S.
Popat, S.
Reckamp, K. L.
Morgillo, F.
Nadal, E.
Mazzoni, F.
Agustoni, F.
Bar, J.
Grosso, F.
Avrillon, V.
Patel, J. D.
Gomes, F.
Ibrahim, E.
Trama, A.
Bettini, A. C.
Barlesi, F.
Dingemans, A. M.
Wakelee, H.
Peters, S.
Horn, L.
Garassino, M. C.
Torri, V.
Baena, J.
Cortellini, A.
Huang, L. C.
Lo Russo, G.
Porcu, L.
Wong, S. K.
Bestvina, C. M.
Hellmann, M. D.
Roca, E.
Rizvi, H.
Monnet, I.
Boudjemaa, A.
Rogado, J.
Pasello, G.
Leighl, N. B.
Arrieta, O.
Aujayeb, A.
Batra, U.
Azzam, A. Y.
Unk, M.
Azab, M. A.
Zhumagaliyeva, A. N.
Gomez-Martin, C.
Blaquier, J. B.
Geraedts, E.
Mountzios, G.
Serrano-Montero, G.
Reinmuth, N.
Coate, L.
Marmarelis, M.
Presley, C. J.
Hirsch, F. R.
Garrido, P.
Khan, H.
Baggi, A.
Mascaux, C.
Halmos, B.
Ceresoli, G. L.
Fidler, M. J.
Scotti, V.
Métivier, A. C.
Falchero, L.
Felip, E.
Genova, C.
Mazieres, J.
Tapan, U.
Brahmer, J.
Bria, E.
Puri, S.
Popat, S.
Reckamp, K. L.
Morgillo, F.
Nadal, E.
Mazzoni, F.
Agustoni, F.
Bar, J.
Grosso, F.
Avrillon, V.
Patel, J. D.
Gomes, F.
Ibrahim, E.
Trama, A.
Bettini, A. C.
Barlesi, F.
Dingemans, A. M.
Wakelee, H.
Peters, S.
Horn, L.
Garassino, M. C.
Torri, V.
Description
Date
2022
Publisher
Collections
Files
Loading...
From UNPAYWALL
Adobe PDF, 1.55 MB
Keywords
Type
Article
Citation
Whisenant JG, Baena J, Cortellini A, Huang L-C, Lo Russo G, Porcu L, et al. A definitive prognostication system for patients with thoracic malignancies diagnosed with COVID-19: an update from the TERAVOLT registry.. Journal of Thoracic Oncology. Elsevier BV; 2022.