Exploring the Predictive Value of Inflammatory Biomarkers in COVID-19 Patients: A Prospective Cohort Study in Malang, Indonesia

https://doi.org/10.22146/ijc.85738

Agustin Iskandar(1), Hambiah Hari Oki(2), Catur Suci Sutrisnani(3), Novi Khila Firani(4), Nur Samsu(5), Agustina Tri Endharti(6*), Edi Widjajanto(7)

(1) Doctoral Program in Medical Science, Faculty of Medicine, Universitas Brawijaya, Jl. Veteran, Malang 65145, Indonesia; Department of Clinical Pathology, Faculty of Medicine, Universitas Brawijaya, Jl. Veteran, Malang 65145, Indonesia; Department of Parasitology, Faculty of Medicine, Universitas Brawijaya, Jl. Veteran, Malang 65145, Indonesia; Saiful Anwar General Hospital, Jl. Jaksa Agung Suprapto No. 2, Malang 65112, Indonesia
(2) Department of Clinical Pathology, Faculty of Medicine, Universitas Brawijaya, Jl. Veteran, Malang 65145, Indonesia; Saiful Anwar General Hospital, Jl. Jaksa Agung Suprapto No. 2, Malang 65112, Indonesia
(3) Department of Clinical Pathology, Faculty of Medicine, Universitas Brawijaya, Jl. Veteran, Malang 65145, Indonesia; Saiful Anwar General Hospital, Jl. Jaksa Agung Suprapto No. 2, Malang 65112, Indonesia
(4) Department of Clinical Pathology, Faculty of Medicine, Universitas Brawijaya, Jl. Veteran, Malang 65145, Indonesia; Saiful Anwar General Hospital, Jl. Jaksa Agung Suprapto No. 2, Malang 65112, Indonesia
(5) Saiful Anwar General Hospital, Jl. Jaksa Agung Suprapto No. 2, Malang 65112, Indonesia; Department of Internal Medicine, Faculty of Medicine, Universitas Brawijaya, Jl. Veteran, Malang 65145, Indonesia
(6) Department of Parasitology, Faculty of Medicine, Universitas Brawijaya, Jl. Veteran, Malang 65145, Indonesia
(7) Department of Clinical Pathology, Faculty of Medicine, Universitas Brawijaya, Jl. Veteran, Malang 65145, Indonesia; Saiful Anwar General Hospital, Jl. Jaksa Agung Suprapto No. 2, Malang 65112, Indonesia
(*) Corresponding Author

Abstract


The objective of this study was to assess the predictive value of inflammatory biomarkers in COVID-19 patients, namely the CRP/albumin ratio (CAR), interleukin 6 (IL-6), IL-6/lymphocyte ratio (IL-6/LY), and neutrophil/lymphocyte ratio (NLR). A prospective cohort study was conducted between January to June 2021 at Dr. Saiful Anwar General Hospital, Malang, East Java, Indonesia. CRP and albumin levels were measured using COBAS C6000. IL-6 was measured using the enzymatic chemiluminescence immunoassay (ECLIA) method and NLR was calculated based on flow cytometry evaluation of neutrophil and lymphocyte. Patient outcomes were obtained from medical records. Out of the 102 COVID-19 patients, 60 were non-survivors. The findings revealed that the area under the receiver (AUC) for CAR, IL-6, IL-6/LY, and NLR were 0.71, 0.77, 0.75, and 0.65, respectively. Kaplan-Meier curve analysis demonstrated significant differences between the groups stratified by these cut-off values. Notably, CAR and IL-6 exhibited the most accurate predictive values for mortality in COVID-19 patients. These findings suggest that CAR and IL-6 may serve as valuable biomarkers for predicting mortality in COVID-19 patients. Importantly, CAR offers an advantage over IL-6 as it is relatively more affordable, making it a viable option even if COVID-19 becomes endemic.


Keywords


CAR; IL-6; IL-6/LY; mortality; COVID-19

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References

[1] WHO, 2021, COVID-19 Weekly Epidemiological Update, https://covid19.who.int/, accessed on March 20, 2023.

[2] Indonesian Ministry of Health, 2023, COVID-19 Distribution Map, https://covid19.go.id/peta-sebaran, accessed on February 5, 2023.

[3] Zeng, F., Huang, Y., Guo, Y., Yin, M., Chen, X., Xiao, L., and Deng, G., 2020, Association of inflammatory markers with the severity of COVID-19: A meta-analysis, Int. J. Infect. Dis., 96, 467–474.

[4] Mazzoni, A., Salvati, L., Maggi, L., Capone, M., Vanni, A., Spinicci, M., Mencarini, J., Caporale, R., Peruzzi, B., Antonelli, A., Trotta, M., Zammarchi, L., Ciani, L., Gori, L., Lazzeri, C., Matucci, A., Vultaggio, A., Rossi, O., Almerigogna, F., Parronchi, P., Fontanari, P., Lavorini, F., Peris, A., Rossolini, G.M., Bartoloni, A., Romagnani, S., Liotta, F., Annunziato, F., and Cosmi, L., 2020, Impaired immune cell cytotoxicity in severe COVID-19 is IL-6 dependent, J. Clin. Invest., 130 (9), 4694–4703.

[5] Wang, L., 2020, C-reactive protein levels in the early stage of COVID-19, Med. Mal. Infect., 50 (4), 332–334.

[6] Huang, W., Li, C., Wang, Z., Wang, H., Zhou, N., Jiang, J., Ni, L., Zhang, X.A., and Wang, D.W., 2020, Decreased serum albumin level indicates poor prognosis of COVID-19 patients: Hepatic injury analysis from 2,623 hospitalized cases, Sci. China Life Sci., 63 (11), 1678–1687.

[7] Soy, M., Keser, G., Atagündüz, P., Tabak, F., Atagündüz, I., and Kayhan, S., 2020, Cytokine storm in COVID-19: Pathogenesis and overview of anti-inflammatory agents used in treatment, Clin. Rheumatol., 39 (7), 2085–2094.

[8] Yuki, K., Fujiogi, M., and Koutsogiannaki, S., 2020, COVID-19 pathophysiology: A review, Clin. Immunol., 215, 108427.

[9] Borges, L., Pithon-Curi, T.C., Curi, R., and Hatanaka, E., 2020, COVID-19 and neutrophils: The relationship between hyperinflammation and neutrophil extracellular traps, Mediators Inflammation, 2020, 8829674.

[10] Didangelos, A., 2020, COVID-19 hyperinflammation: What about neutrophils?, mSphere, 5 (3), e00367-20.

[11] Rabaan, A.A., Al-Ahmed, S.H., Garout, M.A., Al-Qaaneh, A.M., Sule, A.A., Tirupathi, R., Mutair, A.A., Alhumaid, S., Hasan, A., Dhawan, M., Tiwari, R., Sharun, K., Mohapatra, R.K., Mitra, S., Emran, T.B., Bilal, M., Singh, R., Alyami, S., Moni, M.A., and Dhama, K., 2021, Diverse immunological factors influencing pathogenesis in patients with COVID-19: A review on viral dissemination, immunotherapeutic options to counter cytokine storm and inflammatory responses, Pathogens, 10 (5), 565.

[12] Pál, K., Molnar, A.A., Huțanu, A., Szederjesi, J., Branea, I., Timár, Á., and Dobreanu, M., 2022, Inflammatory biomarkers associated with in-hospital mortality in critical COVID-19 patients, Int. J. Mol. Sci., 23 (18), 10423.

[13] Zhou, J., He, W., Liang, J., Wang, L., Yu, X., Bao, M., and Liu, H., 2021, Association of interleukin-6 levels with morbidity and mortality in patients with coronavirus disease 2019 (COVID-19), Jpn. J. Infect. Dis., 74 (4), 293–298.

[14] El-Shabrawy, M., Alsadik, M.E., El-Shafei, M., Abdelmoaty, A.A., Alazzouni, A.S., Esawy, M.M., and Shabana, M.A., 2021, Interleukin-6 and C-reactive protein/albumin ratio as predictors of COVID-19 severity and mortality, Egypt. J. Bronchol., 15 (1), 5.

[15] Sabaka, P., Koščálová, A., Straka, I., Hodosy, J., Lipták, R., Kmotorková, B., Kachlíková, M., and Kušnírová, A., 2021, Role of interleukin 6 as a predictive factor for a severe course of Covid-19: Retrospective data analysis of patients from a long-term care facility during Covid-19 outbreak, BMC Infect. Dis., 21 (1), 308.

[16] Liu, B., Li, M., Zhou, Z., Guan, X., and Xiang, Y., 2020, Can we use interleukin-6 (IL-6) blockade for coronavirus disease 2019 (COVID-19)-induced cytokine release syndrome (CRS)?, J Autoimmun., 111, 102452.

[17] Liu, X., Wang, H., Shi, S., and Xiao, J., 2022, Association between IL-6 and severe disease and mortality in COVID-19 disease: A systematic review and meta-analysis, Postgrad. Med. J., 98 (1165), 871–879.

[18] Masotti, L., Grifoni, E., Pelagalli, G., Cioni, E., Mattaliano, C., Cioffi, E., Mattaliano, C., Cioffi, E., Maggi, F., Pinto, G., Madonia, E.M., Micheletti, I., Gelli, A.M.G., Ciambotti, B., Mannucci, A., Bello, R., Cei, F., Dolenti, S., Tarquini, R., Montenora, I., Spina, R., and Vanni, S., 2022, Prognostic role of Interleukin-6/lymphocytes ratio in SARS-CoV2 related pneumonia, Int. Immunopharmacol., 103, 108435.

[19] Rotundo, S., Borelli, M., Scaglione, V., Lionello, R., Biamonte, F., Olivadese, V., Quirino, A., Morrone, H.L., Matera, G., Costanzo, F.S., Russo, A., Trecarichi, E.M., Torti, C., and IDTM UMG COVID-19 Group, 2023, Interleukin-62/lymphocyte as a proposed predictive index for COVID-19 patients treated with monoclonal antibodies, Clin. Exp. Med., 1–7.

[20] Palladino, M., 2021, Complete blood count alterations in COVID-19 patients: A narrative review, Biochem. Med., 31 (3), 030501.

[21] Bellan, M., Azzolina, D., Hayden, E., Gaidano, G., Pirisi, M., Acquaviva, A., Aimaretti, G., Aluffi Valletti, P., Angilletta, R., Arioli, R., Avanzi, G.C., Avino, G., Balbo, P.E., Baldon, G., Baorda, F., Barbero, E., Baricich, A., Barini, M., Barone-Adesi, F., Battistini, S., Beltrame, M., Bertoli, M., Bertolin, S., Bertolotti, M., Betti, M., Bobbio, F., Boffano, P., Boglione, L., Borrè, S., Brucoli, M., Calzaducca, E., Cammarata, E., Cantaluppi, V., Cantello, R., Capponi, A., Carriero, A., Casciaro, G.F., Castello, L.M., Ceruti, F., Chichino, G., Chirico, E., Cisari, C., Cittone, M.G., Colombo, C., Comi, C., Croce, E., Daffara, T., Danna, P., Della Corte, F., De Vecchi, S., Dianzani, U., Di Benedetto, D., Esposto, E., Faggiano, F., Falaschi, Z., Ferrante, D., Ferrero, A., Gagliardi, I., Galbiati, A., Gallo, S., Garavelli, P.L., Gardino, C.A., Garzaro, M., Gastaldello, M.L., Gavelli, F., Gennari, A., Giacomini, G.M., Giacone, I., Giai Via, V., Giolitti, F., Gironi, L.C., Gramaglia, C., Grisafi, L., Inserra, I., Invernizzi, M., Krengli, M., Labella, E., Landi, I.C., Landi, R., Leone, I., Lio, V., Lorenzini, L., Maconi, A., Malerba, M., Manfredi, G.F., Martelli, M., Marzari, L., Marzullo, P., Mennuni, M., Montabone, C., Morosini, U., Mussa, M., Nerici, I., Nuzzo, A., Olivieri, C., Padelli, S.A., Panella, M., Parisini, A., Paschè, A., Patrucco, F., Patti, G., Pau, A., Pedrinelli, A.R., Percivale, I., Ragazzoni, L., Re, R., Rigamonti, C., Rizzi, E., Rognoni, A.,Roveta, A., Salamina, L., Santagostino, M., Saraceno, M., Savoia, P., Sciarra, M., Schimmenti, A., Scotti, L., Spinoni, E., Smirne, C., Tarantino, V., Tillio, P.A., Tonello, S.,Vaschetto, R., Vassia, V., Zagaria, D., Zavattaro, E., Zeppegno, P., Zottarelli, F., and Sainaghi, P.P., 2021, Simple parameters from complete blood count predict in-hospital mortality in COVID-19, Dis. Markers, 2021, 8863053.

[22] Tadesse, Z., Bekele Bayissa, A., Diriba, T., Chernet, N., Tsegaye, S., and Tsega, M., 2022, Neutrophil-to-lymphocyte ratio and cut-off values as predictor of severity and mortality in COVID-19 patients in millennium COVID-19 care center, Addis Ababa, Ethiopia, Int. J. Gen. Med., 15, 6739–6755.



DOI: https://doi.org/10.22146/ijc.85738

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