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. 2022 Jul 11;114(7):979-987.
doi: 10.1093/jnci/djac057.

COVID-19 Sequelae and the Host Proinflammatory Response: An Analysis From the OnCovid Registry

Alessio Cortellini  1 Alessandra Gennari  2 Fanny Pommeret  3 Grisma Patel  4 Thomas Newsom-Davis  5 Alexia Bertuzzi  6 Margarita Viladot  7 Juan Aguilar-Company  8   9 Oriol Mirallas  8 Eudald Felip  10 Alvin J X Lee  4 Alessia Dalla Pria  5 Rachel Sharkey  5 Joan Brunet  11 MCarmen Carmona-García  11 John Chester  12   13 Uma Mukherjee  14 Lorenza Scotti  15 Saoirse Dolly  16 Ailsa Sita-Lumsden  16 Daniela Ferrante  15 Mieke Van Hemelrijck  17 Charlotte Moss  17 Beth Russell  17 Elia Seguí  7 Federica Biello  2 Marco Krengli  18 Javier Marco-Hernández  7 Gianluca Gaidano  19 Andrea Patriarca  19 Riccardo Bruna  19 Elisa Roldán  9 Laura Fox  20 Anna Pous  10 Franck Griscelli  21   22 Ramon Salazar  23 Clara Martinez-Vila  24 Anna Sureda  25 Angela Loizidou  26 Clara Maluquer  25 Annabelle Stoclin  3 Maria Iglesias  27 Paolo Pedrazzoli  28   29 Gianpiero Rizzo  28 Armando Santoro  6   30 Lorenza Rimassa  6   30 Sabrina Rossi  6 Nadia Harbeck  31 Ana Sanchez de Torre  32 Bruno Vincenzi  33 Michela Libertini  34 Salvatore Provenzano  35 Daniele Generali  36   37 Salvatore Grisanti  38 Rossana Berardi  39 Marco Tucci  40   41 Francesca Mazzoni  42 Matteo Lambertini  43   44 Marco Tagliamento  43   44 Alessandro Parisi  45 Federica Zoratto  46 Paola Queirolo  47 Raffaele Giusti  48 Annalisa Guida  49 Alberto Zambelli  50 Carlo Tondini  50 Antonio Maconi  51 Marta Betti  51 Emeline Colomba  3 Nikolaos Diamantis  15 Alasdair Sinclair  4 Mark Bower  5 Isabel Ruiz-Camps  9 David J Pinato  1   2 OnCovid study group
Collaborators, Affiliations

COVID-19 Sequelae and the Host Proinflammatory Response: An Analysis From the OnCovid Registry

Alessio Cortellini et al. J Natl Cancer Inst. .

Abstract

Background: Fifteen percent of patients with cancer experience symptomatic sequelae, which impair post-COVID-19 outcomes. In this study, we investigated whether a proinflammatory status is associated with the development of COVID-19 sequelae.

Methods: OnCovid recruited 2795 consecutive patients who were diagnosed with Severe Acute Respiratory Syndrome Coronavirus 2 infection between February 27, 2020, and February 14, 2021. This analysis focused on COVID-19 survivors who underwent a clinical reassessment after the exclusion of patients with hematological malignancies. We evaluated the association of inflammatory markers collected at COVID-19 diagnosis with sequelae, considering the impact of previous systemic anticancer therapy. All statistical tests were 2-sided.

Results: Of 1339 eligible patients, 203 experienced at least 1 sequela (15.2%). Median baseline C-reactive protein (CRP; 77.5 mg/L vs 22.2 mg/L, P < .001), lactate dehydrogenase (310 UI/L vs 274 UI/L, P = .03), and the neutrophil to lymphocyte ratio (NLR; 6.0 vs 4.3, P = .001) were statistically significantly higher among patients who experienced sequelae, whereas no association was reported for the platelet to lymphocyte ratio and the OnCovid Inflammatory Score, which includes albumin and lymphocytes. The widest area under the ROC curve (AUC) was reported for baseline CRP (AUC = 0.66, 95% confidence interval [CI]: 0.63 to 0.69), followed by the NLR (AUC = 0.58, 95% CI: 0.55 to 0.61) and lactate dehydrogenase (AUC = 0.57, 95% CI: 0.52 to 0.61). Using a fixed categorical multivariable analysis, high CRP (odds ratio [OR] = 2.56, 95% CI: 1.67 to 3.91) and NLR (OR = 1.45, 95% CI: 1.01 to 2.10) were confirmed to be statistically significantly associated with an increased risk of sequelae. Exposure to chemotherapy was associated with a decreased risk of sequelae (OR = 0.57, 95% CI: 0.36 to 0.91), whereas no associations with immune checkpoint inhibitors, endocrine therapy, and other types of systemic anticancer therapy were found.

Conclusions: Although the association between inflammatory status, recent chemotherapy and sequelae warrants further investigation, our findings suggest that a deranged proinflammatory reaction at COVID-19 diagnosis may predict for sequelae development.

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Figures

Figure 1.
Figure 1.
Study flow diagram. CRP = C-reactive protein; LDH = lactate dehydrogenase; NLR = neutrophil to lymphocyte ratio; OIS = OnCovid Inflammatory Score; PLR = platelet to lymphocyte ratio; ROC = receiver operating characteristics; SACT = systemic anticancer therapy.
Figure 2.
Figure 2.
Fixed multivariable analysis according to categorized baseline inflammatory markers or indices for COVID-19 sequelae. A) COVID-19 sequelae overall, B) respiratory sequelae, and C) post–COVID-19 fatigue. Adjusting covariates for each analysis were sex (male vs female), age (≥65 vs <65 years), number of comorbidities (0-1 vs ≥2), primary tumor (clustered as breast, gastrointestinal, gynecological or genitourinary, thoracic, and others), receipt of systemic anticancer therapy within 4 weeks of COVID-19 diagnosis (yes vs no), tumor stage (defined as advanced vs nonadvanced), tumor status (presence of active vs nonactive disease), experience of at least 1 COVID-19 complication (yes vs no), receipt of any COVID-19–specific therapy (yes vs no), hospitalization (preexisting for whatever cause, including cancer vs due to COVID-19 vs not required), and country (United Kingdom; Spain; Italy; and France, Belgium, or Germany). CI = confidence interval; CRP = C-reactive protein; LDH = lactate dehydrogenase; NLR = neutrophil to lymphocyte ratio; OIS = OnCovid Inflammatory Score; OR = odds ratio; PLR = platelet to lymphocyte ratio.
Figure 3.
Figure 3.
Fixed multivariable analysis including different type of systemic anticancer therapy (SACT) as covariate (1237 patients) for COVID-19 sequelae. A) COVID-19 sequelae overall, B) respiratory sequelae, and C) post–COVID-19 fatigue. CDKi = cyclin dependent kinase inhibitors; CI = confidence interval; GI = gastrointestinal; GU = genitourinary; GY = gynecological; ICIs = immune checkpoint inhibitors; MABs = monoclonal antibodies; OR = odds ratio; PARPi = poly adenosine diphosphate-ribose polymerase inhibitors; TKIs = tyrosine kinase inhibitors; UK = United Kingdom.
Figure 4.
Figure 4.
Median baseline inflammatory markers or indices according to different types of systemic anticancer therapy (SACT) regimens at COVID-19 diagnosis. A) C-reactive protein (CRP); no SACT: 33.0 mg/L (interquartile range [IQR] = 8.5-101.7 mg/L), chemotherapy = 18.8 mg/L (IQR = 6.1-68.8 mg/L), immune checkpoint inhibitors (ICIs) = 42.0 mg/L (IQR = 0.8-101.1 mg/L), endocrine therapy = 23.5 mg/L (IQR = 3.9-90 mg/L), tyrosine kinase inhibitors (TKIs) or monoclonal antibodies (MABs) = 12.0 mg/L (IQR = 4.6-53.5 mg/L), poly adenosine diphosphate-ribose polymerase inhibitors (PARPi) or cyclin dependent kinase inhibitors (CDKi) = 6.8 mg/L (IQR = 2.9-29.1 mg/L). B) Neutrophil to lymphocyte ratio (NLR); no SACT = 4.8 (IQR = 2.6-9.2), chemotherapy = 3.5 (IQR = 2.0-8.8), ICIs = 3.6 (IQR = 1.9-7.1), endocrine therapy = 5.4 (IQR = 1.8-11.3), TKIs or MABs = 4.2 (IQR = 2.2-6.9), PARPi or CDKi = 4.0 (IQR = 1.0-8.4). Median values are presented as Log10. Two-sided P values calculated with the Kruskal–Wallis test.

References

    1. Rao S, Benzouak T, Gunpat S, et al. Fatigue symptoms associated with COVID-19 in convalescent or recovered COVID-19 patients; a systematic review and meta-analysis. Ann Behav Med. 2022;56(3):219–234. - PMC - PubMed
    1. Boyton RJ, Altmann DM.. The immunology of asymptomatic SARS-CoV-2 infection: what are the key questions? Nat Rev Immunol. 2021;21(12):762–768. - PMC - PubMed
    1. Sandler CX, Wyller VBB, Moss-Morris R, et al. Long COVID and post-infective fatigue syndrome: a review. Open Forum Infect Dis. 2021;8(10):ofab440. - PMC - PubMed
    1. Huang C, Huang L, Wang Y, et al. 6-Month consequences of COVID-19 in patients discharged from hospital: a cohort study. Lancet. 2021;397(10270):220–232. - PMC - PubMed
    1. Daugherty SE, Guo Y, Heath K, et al. Risk of clinical sequelae after the acute phase of SARS-CoV-2 infection: retrospective cohort study. BMJ. 2021;373:n1098. - PMC - PubMed

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