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

被引:42
|
作者
Esposito, Antonio [1 ,2 ]
Palmisano, Anna [1 ,2 ]
Toselli, Marco [3 ]
Vignale, Davide [1 ,2 ]
Cereda, Alberto [3 ]
Rancoita, Paola Maria Vittoria [2 ,4 ]
Leone, Riccardo [1 ,2 ]
Nicoletti, Valeria [1 ,2 ]
Gnasso, Chiara [1 ,2 ]
Monello, Alberto [5 ]
Biagi, Andrea [5 ]
Turchio, Piergiorgio [5 ]
Landoni, Giovanni [2 ,6 ]
Gallone, Guglielmo [7 ]
Monti, Giacomo [6 ]
Casella, Gianni [8 ]
Iannopollo, Gianmarco [8 ]
Nannini, Tommaso [8 ]
Patelli, Gianluigi [9 ]
Di Mare, Luisa [9 ]
Loffi, Marco [10 ]
Sergio, Pietro [10 ]
Ippolito, Davide [11 ]
Sironi, Sandro [12 ]
Pontone, Gianluca [13 ]
Andreini, Daniele [13 ]
Mancini, Elisabetta Maria [13 ]
Di Serio, Clelia [2 ,4 ]
De Cobelli, Francesco [1 ,2 ]
Ciceri, Fabio [2 ,14 ]
Zangrillo, Alberto [2 ,6 ]
Colombo, Antonio [3 ]
Tacchetti, Carlo [1 ,2 ]
Giannini, Francesco [3 ]
机构
[1] IRCCS San Raffaele Sci Inst, Expt Imaging Ctr, Via Olgettina 60, Milan, Italy
[2] Univ Vita Salute San Raffaele, Sch Med, Via Olgettina 58, Milan, Italy
[3] GVM Care & Res Maria Cecilia Hosp, Cotignola, Italy
[4] Univ Vita Salute San Raffaele, Ctr Univ Stat Sci Biomed, Milan, Italy
[5] Guglielmo da Saliceto Hosp, Piacenza, Italy
[6] IRCCS San Raffaele Sci Inst, Anesthesia & Intens Care Dept, Milan, Italy
[7] Citta Salute & Sci, Div Cardiol, Dept Internal Med, Turin, Italy
[8] Osped Maggiore Bologna, Bologna, Italy
[9] ASST Bolognini Hosp, Bergamo Est, Italy
[10] Osped Cremona, Cremona, Italy
[11] San Gerardo Hosp, Monza, Italy
[12] ASST Papa Giovanni XXIII, Bergamo, Italy
[13] Ctr Cardiol Monzino IRCCS, Milan, Italy
[14] IRCCS San Raffaele Sci Inst, Dept Hematol & Bone Marrow Transplantat, Milan, Italy
关键词
COVID-19; Thorax; Tomography; X-ray computed; Hypertension; pulmonary; Pulmonary artery; COMPUTED-TOMOGRAPHY; HYPERTENSION; PROGNOSIS; METRICS;
D O I
10.1007/s00330-020-07622-x
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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.
引用
收藏
页码:4031 / 4041
页数:11
相关论文
共 50 条
  • [31] Chest CT severity score and radiological patterns as predictors of disease severity, ICU admission, and viral positivity in COVID-19 patients
    Bellos, Ioannis
    Tavernaraki, Kyriaki
    Stefanidis, Konstantinos
    Michalopoulou, Olympia
    Lourida, Giota
    Korompoki, Eleni
    Thanou, Ioanna
    Thanos, Loukas
    Pefanis, Angelos
    Argyraki, Aikaterini
    RESPIRATORY INVESTIGATION, 2021, 59 (04) : 436 - 445
  • [32] Retrospective evaluation of the effects of pulmonary artery and aortic diameters on hospitalization duration and survival in patients hospitalized with COVID-19
    Dogan, Derya
    Tasci, Canturk
    Dogan, Deniz
    Ocal, Nesrin
    Arslan, Yakup
    Bozlar, Ugur
    TUBERKULOZ VE TORAKS-TUBERCULOSIS AND THORAX, 2024, 72 (02): : 137 - 144
  • [33] Unsupervised survival prediction model from CT images of patients with COVID-19
    Uemura, Tomoki
    Nappi, Janne J.
    Watari, Chinatsu
    Kamiya, Tohru
    Yoshida, Hiroyuki
    MEDICAL IMAGING 2021: COMPUTER-AIDED DIAGNOSIS, 2021, 11597
  • [34] Low Sensitivity of Admission Lung US Compared to Chest CT for Diagnosis of Lung Involvement in a Cohort of 82 Patients with COVID-19 Pneumonia
    Quarato, Carla Maria Irene
    Mirijello, Antonio
    Lacedonia, Donato
    Russo, Raffaele
    Maggi, Michele Maria
    Rea, Gaetano
    Simeone, Annalisa
    Borelli, Cristina
    Feragalli, Beatrice
    Scioscia, Giulia
    Barbaro, Maria Pia Foschino
    Massa, Valentina
    De Cosmo, Salvatore
    Sperandeo, Marco
    MEDICINA-LITHUANIA, 2021, 57 (03): : 1 - 14
  • [35] Quantifying prognosis severity of COVID-19 patients from deep learning based analysis of CT chest images
    Rana, Ashish
    Singh, Harpreet
    Mavuduru, Ravimohan
    Pattanaik, Smita
    Rana, Prashant Singh
    MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 81 (13) : 18129 - 18153
  • [36] DEEP ACTIVE LEARNING FOR FIBROSIS SEGMENTATION OF CHEST CT SCANS FROM COVID-19 PATIENTS
    Liu, Xiaohong
    Wang, Kai
    Chen, Ting
    2021 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2021, : 175 - 179
  • [37] Predictors for imaging progression on chest CT from coronavirus disease 2019 (COVID-19) patients
    Yang, Zongguo
    Shi, Jia
    He, Zhang
    Lu, Ying
    Xu, Qingnian
    Ye, Chen
    Chen, Shishi
    Tang, Bozong
    Yin, Keshan
    Lu, Yunfei
    Chen, Xiaorong
    AGING-US, 2020, 12 (07): : 6037 - 6048
  • [38] Impact of the COVID-19 Pandemic on Admission of Acute Coronary Syndrome Patients: A Local Insight from iSTEMI Registry
    Nugraha, Krishna Ari
    Nurudinulloh, Akhmad Isna
    Satrijo, Budi
    Anjarwani, Setyasih
    EUROPEAN HEART JOURNAL SUPPLEMENTS, 2021, 23 (0F)
  • [39] Quantitative chest CT imaging characteristics and outcome of patients with COVID-19 associated pulmonary artery thrombosis: A single-center retrospective cohort study
    Niculae, Cristian-Mihail
    Hristea, Adriana
    Albulescu, Andreea Simona
    Petre, Vladimir Bogdan
    Anghel, Ana-Maria-Jennifer
    Damalan, Anca-Cristina
    Bel, Adela-Abigaela
    Lazar, Mihai
    MEDICINE, 2023, 102 (27) : E34250
  • [40] Pulmonary fibrotic-like changes on follow-up chest CT exam in patients recovering from COVID-19 pneumonia
    Vural, Ahmet
    Kahraman, Ahmet Nedim
    TUBERKULOZ VE TORAKS-TUBERCULOSIS AND THORAX, 2021, 69 (04): : 492 - 498