Subscribe to RSS
DOI: 10.1055/a-2293-8132
Prevalence and prognostic role of thoracic lymphadenopathy in Covid-19
Article in several languages: English | deutsch Supported by: Bundesministerium für Bildung und Forschung Funded by “NUM 2.0” (FKZ: 01KX2121)
Abstract
Purpose The prevalent coronavirus disease 2019 (COVID-19) pandemic has spread throughout the world and is considered a serious threat to global health. The prognostic role of thoracic lymphadenopathy in COVID-19 is unclear. The aim of the present meta-analysis was to analyze the prognostic role of thoracic lymphadenopathy for the prediction of 30-day mortality in patients with COVID-19.
Materials and Methods The MEDLINE library, Cochrane, and SCOPUS databases were screened for associations between CT-defined features and mortality in COVID-19 patients up to June 2021. In total, 21 studies were included in the present analysis. The quality of the included studies was assessed by the Newcastle-Ottawa Scale. The meta-analysis was performed using RevMan 5.3. Heterogeneity was calculated by means of the inconsistency index I2. DerSimonian and Laird random-effect models with inverse variance weights were performed without any further correction.
Results The included studies comprised 4621 patients. The prevalence of thoracic lymphadenopathy varied between 1 % and 73.4 %. The pooled prevalence was 16.7 %, 95 % CI = (15.6 %; 17.8 %). The hospital mortality was higher in patients with thoracic lymphadenopathy (34.7 %) than in patients without (20.0 %). The pooled odds ratio for the influence of thoracic lymphadenopathy on mortality was 2.13 (95 % CI = [1.80–2.52], p < 0.001).
Conclusion The prevalence of thoracic lymphadenopathy in COVID-19 is 16.7 %. The presence of thoracic lymphadenopathy is associated with an approximately twofold increase in the risk for hospital mortality in COVID-19.
Key Points
-
The prevalence of lymphadenopathy in COVID-19 is 16.7 %.
-
Patients with lymphadenopathy in COVID-19 have a higher risk of mortality during hospitalization.
-
Lymphadenopathy nearly doubles mortality and plays an important prognostic role.
Citation Format
-
Bucher AM, Sieren M, Meinel F et al. Prevalence and prognostic role of thoracic lymphadenopathy in Covid-19. Rofo 2025; 197: 163 – 171
Publication History
Received: 04 January 2024
Accepted: 15 March 2024
Article published online:
22 July 2024
© 2024. Thieme. All rights reserved.
Georg Thieme Verlag KG
Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany
-
References
- 1 Chopra V, Flanders SA, Vaughn V. et al. Variation in COVID-19 characteristics, treatment and outcomes in Michigan: an observational study in 32 hospitals. BMJ Open 2021; 11: e044921
- 2 Besutti G, Ottone M, Fasano T. et al. The value of computed tomography in assessing the risk of death in COVID-19 patients presenting to the emergency room. Eur Radiol 2021; 31: 9164-9175
- 3 Wang D, Hu B, Hu C. et al. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. JAMA 2020; 323: 1061-1069
- 4 Huang C, Wang Y, Li X. et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. The Lancet 2020; 395: 497-506
- 5 Fernandes Q, Inchakalody VP, Merhi M. et al. Emerging COVID-19 variants and their impact on SARS-CoV-2 diagnosis, therapeutics and vaccines. Ann Med 2022; 54: 524-540
- 6 Liu B, Spokes P, He W. et al. High risk groups for severe COVID-19 in a whole of population cohort in Australia. BMC Infect Dis 2021; 21: 685
- 7 Zheng Z, Peng F, Xu B. et al. Risk factors of critical & mortal COVID-19 cases: A systematic literature review and meta-analysis. J Infect 2020; 81: e16-e25
- 8 Dessie ZG, Zewotir T. Mortality-related risk factors of COVID-19: a systematic review and meta-analysis of 42 studies and 423,117 patients. BMC Infect Dis 2021; 21: 855
- 9 Kwee TC, Kwee RM. Chest CT in COVID-19: What the Radiologist Needs to Know. RadioGraphics 2020; 40: 1848-1865
- 10 Salehi S, Abedi A, Balakrishnan S. et al. Coronavirus Disease 2019 (COVID-19): A Systematic Review of Imaging Findings in 919 Patients. Am J Roentgenol 2020; 215: 87-93
- 11 Machnicki S, Patel D, Singh A. et al. The Utility of Chest CT imaging in suspected or diagnosed COVID-19 Patients – a review of literature. Chest 2021;
- 12 Li K, Wu J, Wu F. et al. The Clinical and Chest CT Features Associated With Severe and Critical COVID-19 Pneumonia. Invest Radiol 2020; 55: 327-331
- 13 Meyer H-J, Wienke A, Surov A. Extrapulmonary CT Findings Predict In-Hospital Mortality in COVID-19. A Systematic Review and Meta-Analysis. Acad Radiol 2022; 29: 17-30
- 14 Page M, McKenzie J, Bossuyt P. et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021; 372: n71
- 15 Strang A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol 2010; 25: 603-605
- 16 Leeflang MMG, Deeks JJ, Gatsonis C. et al. Systematic reviews of diagnostic test accuracy. Ann Intern Med 2008; 149: 889-897
- 17 Zamora J, Abraira V, Muriel A. et al. Meta-DiSc: a software for meta-analysis of test accuracy data. BMC Med Res Methodol 2006; 6: 31
- 18 DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials 1986; 7: 177-188
- 19 Egger M, Smith G, Schneider M. et al. Bias in meta-analysis detected by a simple, graphical test. BMJ 1997; 315: 629-634
- 20 Abbasi B, Akhavan R, Ghamari Khameneh A. et al. Evaluation of the relationship between inpatient COVID-19 mortality and chest CT severity score. Am J Emerg Med 2021; 45: 458-463
- 21 Abrishami A, Eslami V, Arab-Ahmadi M. et al. Prognostic value of inflammatory biomarkers for predicting the extent of lung involvement and final clinical outcome in patients with COVID-19. J Res Med Sci Off J Isfahan Univ Med Sci 2021; 26: 115
- 22 Ashtari S, Vahedian-Azimi A, Shojaee S. et al. Computed tomographic features of coronavirus disease-2019 (COVID-19) pneumonia in three groups of Iranian patients: A single center study. Radiologia 2021; 63: 314-323
- 23 Collado-Chagoya R, Hernández-Chavero H, Ordinola Navarro A. et al. CT findings in survivors and non-survivors of COVID-19 and clinical usefulness of a CT scoring system. Radiologia 2022; 64: 11-16
- 24 Colombi D, Villani GD, Maffi G. et al. Qualitative and quantitative chest CT parameters as predictors of specific mortality in COVID-19 patients. Emerg Radiol 2020; 27: 701-710
- 25 Eslami V, Abrishami A, Zarei E. et al. The Association of CT-measured Cardiac Indices with Lung Involvement and Clinical Outcome in Patients with COVID-19. Acad Radiol 2021; 28: 8-17
- 26 Gunduz Y, Karacan A, Karabay O. et al. Can Chest Computed Tomography Findings of Symptomatic COVID-19 Patients Upon Admission Indicate Disease Prognosis and Clinical Outcome?. Curr Med Imaging 2022; 18: 658-665
- 27 Kavosi H, Nayebi Rad S, Atef Yekta R. et al. Cardiopulmonary predictors of mortality in patients with COVID-19: What are the findings?. Arch Cardiovasc Dis 2022; 115: 388-396
- 28 Kaya F, Konya PŞ, Demirel E. et al. Visual and Quantitative Assessment of COVID-19 Pneumonia on Chest CT: The Relationship with Disease Severity and Clinical Findings. Curr Med Imaging 2021; 17: 1142-1150
- 29 Khosravi B, Aghaghazvini L, Sorouri M. et al. Predictive value of initial CT scan for various adverse outcomes in patients with COVID-19 pneumonia. Heart Lung J Crit Care 2021; 50: 13-20
- 30 Lee JE, Jeong WG, Nam BD. et al. Impact of Mediastinal Lymphadenopathy on the Severity of COVID-19 Pneumonia: A Nationwide Multicenter Cohort Study. J Korean Med Sci 2022; 37: e78
- 31 Li H, Luo S, Zhang Y. et al. Longitudinal Chest CT Features in Severe/Critical COVID-19 Cases and the Predictive Value of the Initial CT for Mortality. J Inflamm Res 2021; 14: 1111-1124
- 32 Meyer H-J, Melekh B, Wienke A. et al. Clinical importance of thoracal lymphadenopathy in COVID-19. J Infect Public Health 2023; 16: 1244-1248
- 33 Mruk B, Walecki J, Górecki A. et al. Chest computed tomography (CT) as a predictor of clinical course in coronavirus disease. Med Sci Monit 2021; 27: e931285
- 34 Pilechian S, Pirsalehi A, Arabkoohi A. Mediastinal lymphadenopathy and prognosis of COVID-19 disease. Iran J Microbiol 2021; 13: 495-501
- 35 Qayyum W, Khan SA, Saeed L. et al. Corona Virus Disease-19 Clinical And Laboratory Characteristics Associated With Disease Severity In Patients Presenting At A Tertiary Care Hospital Of Peshawar. J Ayub Med Coll Abbottabad 2021; 33: 507-512
- 36 Sampsonas F, Lagadinou M, Kalogeropoulou C. et al. CTPA imaging findings, beyond pulmonary embolism, in patients with Severe Acute Respiratory Syndrome Corona Virus-2 infection and their relation to clinical outcome – a single center experience. Eur Rev Med Pharmacol Sci 2022; 26: 4520-4527
- 37 Sardanelli F, Cozzi A, Monfardini L. et al. Association of mediastinal lymphadenopathy with COVID-19 prognosis. Lancet Infect Dis 2020; 20: 1230-1231
- 38 Satici C, Cengel F, Gurkan O. et al. Mediastinal lymphadenopathy may predict 30-day mortality in patients with COVID-19. Clin Imaging 2021; 75: 119-124
- 39 Tharwat S, Saleh GA, Saleh M. et al. Chest CT Total Severity Score on Admission to Predict In-Hospital Mortality in COVID-19 Patients with Acute and Chronic Renal Impairment. Diagn Basel 2022; 12
- 40 Yang W, Cao Q, Qin L. et al. Clinical characteristics and imaging manifestations of the 2019 novel coronavirus disease (COVID-19):A multi-center study in Wenzhou city, Zhejiang, China. J Infect 2020; 80: 388-393
- 41 Charpentier E, Soulat G, Fayol A. et al. Visual lung damage CT score at hospital admission of COVID-19 patients and 30-day mortality. Eur Radiol 2021; 31: 8354-8363
- 42 Zakariaee SS, Salmanipour H, Naderi N. et al. Association of chest CT severity score with mortality of COVID-19 patients: a systematic review and meta-analysis. Clin Transl Imaging 2022; 10: 663-676
- 43 Bao C, Liu X, Zhang H. et al. Coronavirus Disease 2019 (COVID-19) CT Findings: A Systematic Review and Meta-analysis. J Am Coll Radiol 2020; 17: 701-709
- 44 Zeng Z, Wu C, Lin Z. et al. Development and validation of a simple-to-use nomogram to predict the deterioration and survival of patients with COVID-19. BMC Infect Dis 2021; 21: 356
- 45 Hassanipour S, Azadbakht O, Dehnavi Z. et al. Meta-analysis: COVID-19 diagnosis in chest CT – master key for radiologists. Egypt J Radiol Nucl Med 2021; 52: 86
- 46 Cömert RG, Cingöz E, Meşe S. et al. Radiological Imaging of Viral Pneumonia Cases Identified Before the COVİD-19 Pandemic Period and COVİD-19 Pneumonia Cases Comparison of Characteristics. 2022;
- 47 Erturk SM, Durak G, Ayyildiz H. et al. Covid-19: Correlation of Early Chest Computed Tomography Findings With the Course of Disease. J Comput Assist Tomogr 2020; 44: 633-639
- 48 Haslbauer JD, Matter MS, Stalder AK. et al. Histomorphological patterns of regional lymph nodes in COVID-19 lungs. Pathol 2021; 42: 89-97