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13.01.2022 | COVID-19 | Chest Zur Zeit gratis

Lung vessel volume evaluated with CALIPER software is an independent predictor of mortality in COVID-19 patients: a multicentric retrospective analysis

verfasst von: Chiara Romei, Zeno Falaschi, Pietro S. C. Danna, Chiara Airoldi, Michele Tonerini, Erika Rocchi, Salvatore C. Fanni, Claudio D’Amelio, Greta Barbieri, Giusy Tiseo, Roberto Arioli, Alessio Paschè, Ronald A. Karwoski, Annalisa De Liperi, Brian J. Bartholmai, Alessandro Carriero

Erschienen in: European Radiology | Ausgabe 6/2022

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Abstract

Introduction

Computer-Aided Lung Informatics for Pathology Evaluation and Ratings (CALIPER) software has already been widely used in the evaluation of interstitial lung diseases (ILD) but has not yet been tested in patients affected by COVID-19. Our aim was to use it to describe the relationship between Coronavirus Disease 2019 (COVID-19) outcome and the CALIPER-detected pulmonary vascular-related structures (VRS).

Materials and methods

We performed a multicentric retrospective study enrolling 570 COVID-19 patients who performed a chest CT in emergency settings in two different institutions. Fifty-three age- and sex-matched healthy controls were also identified. Chest CTs were analyzed with CALIPER identifying the percentage of VRS over the total lung parenchyma. Patients were followed for up to 72 days recording mortality and required intensity of care.

Results

There was a statistically significant difference in VRS between COVID-19-positive patients and controls (median (iqr) 4.05 (3.74) and 1.57 (0.40) respectively, p = 0.0001). VRS showed an increasing trend with the severity of care, p < 0.0001. The univariate Cox regression model showed that VRS increase is a risk factor for mortality (HR 1.17, p < 0.0001). The multivariate analysis demonstrated that VRS is an independent explanatory factor of mortality along with age (HR 1.13, p < 0.0001).

Conclusion

Our study suggests that VRS increases with the required intensity of care, and it is an independent explanatory factor for mortality.

Key Points

• The percentage of vascular-related structure volume (VRS) in the lung is significatively increased in COVID-19 patients.

• VRS showed an increasing trend with the required intensity of care, test for trend p< 0.0001.

• Univariate and multivariate Cox models showed that VRS is a significant and independent explanatory factor of mortality.

Guan WJ, Ni ZY, Hu Y et al (2020) Clinical Characteristics of Coronavirus Disease 2019 in China. N Engl J Med 382(18):1708–1720. https://doi.org/10.1056/NEJMoa2002032CrossRefPubMed

COVID-19 Situation update worldwide, as of 18 October 2020. https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases. Accessed November 2020

Huang C, Wang Y, Li X et al (2020) Clinical features of patients infected with 2019 novel coronavirus in Wuhan. China Lancet 325:497–506CrossRef

Teuwen LA, Geldhof V, Pasut A, Carmeliet P (2020) COVID-19: the vasculature unleashed. Nat Rev Immunol 20(7):389–391. https://doi.org/10.1038/s41577-020-0343-0CrossRefPubMedPubMedCentral

Stebbing J, Sánchez Nievas G, Falcone M et al (2021) JAK inhibition reduces SARS-CoV-2 liver infectivity and modulates inflammatory responses to reduce morbidity and mortality. Sci Adv 7(1):eabe4724CrossRefPubMedPubMedCentral

Ackermann M, Verleden SE, Kuehnel M et al (2020) Pulmonary vascular endothelialitis, thrombosis, and angiogenesis in Covid-19. N Engl J Med. 383(2):120–128. https://doi.org/10.1056/NEJMoa2015432CrossRefPubMedPubMedCentral

Falcone M, Tiseo G, Barbieri G et al (2020) Role of low-molecular-weight heparin in hospitalized patients with severe acute respiratory syndrome coronavirus 2 pneumonia: a prospective observational study. Open Forum Infect Dis 7:ofaa563CrossRefPubMedPubMedCentral

Polak SB, Van Gool IC, Cohen D et al (2020) A systematic review of pathological findings in COVID-19: a pathophysiological timeline and possible mechanisms of disease progression. Mod Pathol. 33(11):2128–2138. https://doi.org/10.1038/s41379-020-0603-3CrossRefPubMedPubMedCentral

Nägele MP, Haubner B, Tanner FC, Ruschitzka F, Flammer AJ (2020) Endothelial dysfunction in COVID-19: current findings and therapeutic implications. Atherosclerosis. 314:58–62. https://doi.org/10.1016/j.atherosclerosis.2020.10.014CrossRefPubMedPubMedCentral

10.

Li Y, Xia L (2020) Coronavirus Disease 2019 (COVID-19): Role of chest CT in diagnosis and management. AJR Am J Roentgenol 214:1280–1286CrossRefPubMed

11.

Shi H, Han X, Jiang N et al (2020) Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study. Lancet Infect Dis 20:425–434CrossRefPubMedPubMedCentral

12.

Chung M, Bernheim A, Mei X et al (2020) CT imaging features of 2019 novel coronavirus (2019-nCoV). Radiology 295:202–207CrossRefPubMed

13.

Bernheim A, Mei X, Huang M et al (2020) Chest CT findings in coronavirus disease 2019 (COVID-19): relationship to duration of infection. Radiology 295:685–691CrossRef

14.

Endeman H, van der Zee P, van Genderen ME, van den Akker JPC, Gommers D (2020) Progressive respiratory failure in COVID-19: a hypothesis. Lancet Infect Dis. 20(12):1365. https://doi.org/10.1016/S1473-3099(20)30366-2CrossRefPubMedPubMedCentral

15.

Patel BV, Arachchillage DJ, Ridge CA et al (2020) Pulmonary angiopathy in severe COVID-19: physiologic, imaging, and hematologic observations. Am J Respir Crit Care Med 202(5):690–699. https://doi.org/10.1164/rccm.202004-1412OC.PMID:32667207;PMCID:PMC7462405CrossRefPubMedPubMedCentral

16.

Ciccarese F, Coppola F, Spinelli D et al (2020) Diagnostic accuracy of North America expert consensus statement on reporting CT findings in patients with suspected COVID-19 infection: an Italian single center experience radiology. Cardiothoracic Imaging 2:4

17.

Lanza E, Muglia R, Bolengo I et al (2020) Quantitative chest CT analysis in COVID-19 to predict the need for oxygenation support and intubation. Eur Radiol 30(12):6770–6778. https://doi.org/10.1007/s00330-020-07013-2CrossRefPubMedPubMedCentral

18.

Colombi D, Bodini FC, Petrini M et al (2020) Well-aerated lung on admitting chest CT to predict adverse outcome in COVID-19 pneumonia. Radiology 296:E86–E96CrossRefPubMed

19.

Pu J, Leader JK, Bandos A et al (2021) Automated quantification of COVID-19 severity and progression using chest CT images. Eur Radiol 31(1):436–446. https://doi.org/10.1007/s00330-020-07156-2CrossRefPubMed

20.

Romei C, Tavanti LM, Taliani A et al (2020) Automated computed tomography analysis in the assessment of idiopathic pulmonary fibrosis severity and progression. Eur J Radiol. 124:108852CrossRefPubMed

21.

Coronavirus disease (COVID-19) technical guidance: laboratory testing for 2019-nCoV in humans (2020) https://www.who.int/emergencies/diseases/novel-coronavirus-2019/technical-guidance/laboratory-guidance/. Accessed 03/01/2021

22.

Jacob J, Bartholmai BJ, Rajagopalan S et al (2018) Predicting outcomes in idiopathic pulmonary fibrosis using automated CT analysis. Am J Respir Crit Care Med 198:767–776. https://doi.org/10.1164/rccm.201711-2174OCCrossRefPubMedPubMedCentral

23.

Li K, Fang Y, Li W, Pan C et al (2020) CT image visual quantitative evaluation and clinical classification of coronavirus disease (COVID-19). Eur Radiol. 30(8):4407–4416. https://doi.org/10.1007/s00330-020-06817-6CrossRefPubMedPubMedCentral

24.

Cuzick J (1985) A Wilcoxon-type test for trend. Stat Med 4:87–90CrossRefPubMed

25.

Jacob J, Hirani N, van Moorsel CHM et al (2019) Predicting outcomes in rheumatoid arthritis related interstitial lung disease. Eur Respir J. 53(1):1800869. https://doi.org/10.1183/13993003.00869-2018CrossRefPubMedPubMedCentral

26.

Jacob J, Bartholmai BJ, Rajagopalan S et al (2017) Automated computer-based CT stratification as a predictor of outcome in hypersensitivity pneumonitis. Eur Radiol 27(9):3635–3646. https://doi.org/10.1007/s00330-016-4697-4 (Epub 2017 Jan 27 PMID: 28130610)CrossRefPubMed

27.

Bohn MK, Hall A, Sepiashvili L, Jung B, Steele S, Adeli K (2020) Pathophysiology of COVID-19: mechanisms underlying disease severity and progression. Physiology (Bethesda) 35(5):288–301. https://doi.org/10.1152/physiol.00019.2020.PMID:32783610;PMCID:PMC7426542CrossRef

28.

Crews MS, Bartholmai BJ, Adegunsoye A et al (2020) Automated CT analysis of major forms of interstitial lung disease. J Clin Med. 9(11):3776. https://doi.org/10.3390/jcm9113776CrossRefPubMedCentral

29.

Jacob J, Bartholmai BJ, Rajagopalan S et al (2016) Evaluation of computer-based computer tomography stratification against outcome models in connective tissue disease-related interstitial lung disease: a patient outcome study. BMC Med. 14(1):190. https://doi.org/10.1186/s12916-016-0739-7CrossRefPubMedPubMedCentral

30.

Pagnesi M, Baldetti L, Beneduce A et al (2020) Pulmonary hypertension and right ventricular involvement in hospitalised patients with COVID-19. Heart 106(17):1324–1331. https://doi.org/10.1136/heartjnl-2020-317355CrossRefPubMed

31.

Menter T, Haslbauer JD, Nienhold R et al (2020) Postmortem examination of COVID-19 patients reveals diffuse alveolar damage with severe capillary congestion and variegated findings in lungs and other organs suggesting vascular dysfunction. Histopathology. 77(2):198–209. https://doi.org/10.1111/his.14134CrossRefPubMedPubMedCentral

32.

Grasselli G, Greco M, Zanella A et al (2020) Risk factors associated with mortality among patients with COVID-19 in intensive care units in Lombardy, Italy. JAMA Intern Med 180(10):1345–1355. https://doi.org/10.1001/jamainternmed.2020.3539CrossRefPubMed

33.

Chao H, Fang X, Zhang J et al (2021) Integrative analysis for COVID-19 patient outcome prediction. Med Image Anal. 67:101844CrossRefPubMed

34.

Percivale I, Danna PSC, Falaschi Z et al (2020) Men and women affected by Sars-CoV-2 pneumonia: same CT features but different outcome. Clin Radiol. 11:S0009-9260(20)30629–2. https://doi.org/10.1016/j.crad.2020.11.119CrossRef

35.

Zhou F, Yu T, Du R et al (2020) Clinical course and risk factors for mortality of adult inpatients with COVID-19 inWuhan, China: a retrospective cohort study. Lancet 395(10229):1054–1062CrossRefPubMedPubMedCentral

Titel: Lung vessel volume evaluated with CALIPER software is an independent predictor of mortality in COVID-19 patients: a multicentric retrospective analysis
verfasst von: Chiara Romei
Zeno Falaschi
Pietro S. C. Danna
Chiara Airoldi
Michele Tonerini
Erika Rocchi
Salvatore C. Fanni
Claudio D’Amelio
Greta Barbieri
Giusy Tiseo
Roberto Arioli
Alessio Paschè
Ronald A. Karwoski
Annalisa De Liperi
Brian J. Bartholmai
Alessandro Carriero
Publikationsdatum: 13.01.2022
Verlag: Springer Berlin Heidelberg
Schlagwort: COVID-19
Erschienen in: European Radiology / Ausgabe 6/2022
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-021-08485-6

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Springer Medizin

Lung vessel volume evaluated with CALIPER software is an independent predictor of mortality in COVID-19 patients: a multicentric retrospective analysis

Abstract

Introduction

Materials and methods

Results

Conclusion

Key Points

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Abstract

Introduction

Materials and methods

Results

Conclusion

Key Points

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