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Chest CT-derived pulmonary artery enlargement at the admission predicts overall survival in COVID-19 patients: insight from 1461 consecutive patients in Italy

Authors :
Esposito, A
Palmisano, A
Toselli, M
Vignale, D
Cereda, A
Rancoita, P
Leone, R
Nicoletti, V
Gnasso, C
Monello, A
Biagi, A
Turchio, P
Landoni, G
Gallone, G
Monti, G
Casella, G
Iannopollo, G
Nannini, T
Patelli, G
Di Mare, L
Loffi, M
Sergio, P
Ippolito, D
Sironi, S
Pontone, G
Andreini, D
Mancini, E
Di Serio, C
De Cobelli, F
Ciceri, F
Zangrillo, A
Colombo, A
Tacchetti, C
Giannini, F
Esposito, Antonio
Palmisano, Anna
Toselli, Marco
Vignale, Davide
Cereda, Alberto
Rancoita, Paola Maria Vittoria
Leone, Riccardo
Nicoletti, Valeria
Gnasso, Chiara
Monello, Alberto
Biagi, Andrea
Turchio, Piergiorgio
Landoni, Giovanni
Gallone, Guglielmo
Monti, Giacomo
Casella, Gianni
Iannopollo, Gianmarco
Nannini, Tommaso
Patelli, Gianluigi
Di Mare, Luisa
Loffi, Marco
Sergio, Pietro
Ippolito, Davide
Sironi, Sandro
Pontone, Gianluca
Andreini, Daniele
Mancini, Elisabetta Maria
Di Serio, Clelia
De Cobelli, Francesco
Ciceri, Fabio
Zangrillo, Alberto
Colombo, Antonio
Tacchetti, Carlo
Giannini, Francesco
Esposito, A
Palmisano, A
Toselli, M
Vignale, D
Cereda, A
Rancoita, P
Leone, R
Nicoletti, V
Gnasso, C
Monello, A
Biagi, A
Turchio, P
Landoni, G
Gallone, G
Monti, G
Casella, G
Iannopollo, G
Nannini, T
Patelli, G
Di Mare, L
Loffi, M
Sergio, P
Ippolito, D
Sironi, S
Pontone, G
Andreini, D
Mancini, E
Di Serio, C
De Cobelli, F
Ciceri, F
Zangrillo, A
Colombo, A
Tacchetti, C
Giannini, F
Esposito, Antonio
Palmisano, Anna
Toselli, Marco
Vignale, Davide
Cereda, Alberto
Rancoita, Paola Maria Vittoria
Leone, Riccardo
Nicoletti, Valeria
Gnasso, Chiara
Monello, Alberto
Biagi, Andrea
Turchio, Piergiorgio
Landoni, Giovanni
Gallone, Guglielmo
Monti, Giacomo
Casella, Gianni
Iannopollo, Gianmarco
Nannini, Tommaso
Patelli, Gianluigi
Di Mare, Luisa
Loffi, Marco
Sergio, Pietro
Ippolito, Davide
Sironi, Sandro
Pontone, Gianluca
Andreini, Daniele
Mancini, Elisabetta Maria
Di Serio, Clelia
De Cobelli, Francesco
Ciceri, Fabio
Zangrillo, Alberto
Colombo, Antonio
Tacchetti, Carlo
Giannini, Francesco
Publication Year :
2021

Abstract

Objectives Enlarged main pulmonary artery diameter (MPAD) resulted to be associated with pulmonary hypertension and mortality in a non-COVID-19 setting. The aim was to investigate and validate the association between MPAD enlargement and overall survival in COVID-19 patients. Methods This is a cohort study on 1469 consecutive COVID-19 patients submitted to chest CT within 72 h from admission in seven tertiary level hospitals in Northern Italy, between March 1 and April 20, 2020. Derivation cohort (n = 761) included patients from the first three participating hospitals; validation cohort (n = 633) included patients from the remaining hospitals. CT images were centrally analyzed in a core-lab blinded to clinical data. The prognostic value of MPAD on overall survival was evaluated at adjusted and multivariable Cox's regression analysis on the derivation cohort. The final multivariable model was tested on the validation cohort. Results In the derivation cohort, the median age was 69 (IQR, 58-77) years and 537 (70.6%) were males. In the validation cohort, the median age was 69 (IQR, 59-77) years with 421 (66.5%) males. Enlarged MPAD (>= 31 mm) was a predictor of mortality at adjusted (hazard ratio, HR [95%CI]: 1.741 [1.253-2.418], p < 0.001) and multivariable regression analysis (HR [95%CI]: 1.592 [1.154-2.196], p = 0.005), together with male gender, old age, high creatinine, low well-aerated lung volume, and high pneumonia extension (c-index [95%CI] = 0.826 [0.796-0.851]). Model discrimination was confirmed on the validation cohort (c-index [95%CI] = 0.789 [0.758-0.823]), also using CT measurements from a second reader (c-index [95%CI] = 0.790 [0.753;0.825]). Conclusion Enlarged MPAD (>= 31 mm) at admitting chest CT is an independent predictor of mortality in COVID-19.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1308937625
Document Type :
Electronic Resource