Association between prognostic factors and the outcomes of patients infected with SARS-CoV-2 harboring multiple spike protein mutations

Gunadi, Gunadi and Hakim, Mohamad Saifudin and Wibawa, Hendra and Marcellus, Marcellus and Trisnawati, Ika and Supriyati, Endah and Afiahayati, Afiahayati and El Khair, Riat and Iskandar, Kristy and Siswanto, Siswanto and Irene, Irene and Anggorowati, Nungki and Daniwijaya, Edwin Widyanto and Nugrahaningsih, Dwi Aris Agung and Puspadewi, Yunika and Simanjaya, Susan and Puspitarani, Dyah Ayu and Hanifin, Hana Fauzyyah and Setiawan, Alvina Alexandra and Tania, Irene and Amalia, Cita Shafira and Artayasa, Putu Aditio and Rachman, Haries and Mulyawan, Herdiyanto and Ananda, Nur Rahmi and Arguni, Eggi and Nuryastuti, Titik and Wibawa, Tri (2021) Association between prognostic factors and the outcomes of patients infected with SARS-CoV-2 harboring multiple spike protein mutations. SCIENTIFIC REPORTS, 11 (1). ISSN 2045-2322

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Abstract

The outcome of SARS-CoV-2 infection is determined by multiple factors, including the viral, host genetics, age, and comorbidities. This study investigated the association between prognostic factors and disease outcomes of patients infected by SARS-CoV-2 with multiple S protein mutations. Fifty-one COVID-19 patients were recruited in this study. Whole-genome sequencing of 170 full-genomes of SARS-CoV-2 was conducted with the Illumina MiSeq sequencer. Most patients (47%) had mild symptoms of COVID-19 followed by moderate (19.6%), no symptoms (13.7%), severe (4%), and critical (2%). Mortality was found in 13.7% of the COVID-19 patients. There was a significant difference between the age of hospitalized patients (53.4 +/- 18 years) and the age of non-hospitalized patients (34.6 +/- 19) (p = 0.001). The patients' hospitalization was strongly associated with hypertension, diabetes, and anticoagulant and were strongly significant with the OR of 17 (95% CI 2-144; p = 0.001), 4.47 (95% CI 1.07-18.58; p = 0.039), and 27.97 (95% CI 1.54-507.13; p = 0.02), respectively; while the patients' mortality was significantly correlated with patients' age, anticoagulant, steroid, and diabetes, with OR of 8.44 (95% CI 1.5-47.49; p = 0.016), 46.8 (95% CI 4.63-472.77; p = 0.001), 15.75 (95% CI 2-123.86; p = 0.009), and 8.5 (95% CI 1.43-50.66; p = 0.019), respectively. This study found the clade: L (2%), GH (84.3%), GR (11.7%), and O (2%). Besides the D614G mutation, we found L5F (18.8%), V213A (18.8%), and S689R (8.3%). No significant association between multiple S protein mutations and the patients' hospitalization or mortality. Multivariate analysis revealed that hypertension and anticoagulant were the significant factors influencing the hospitalization and mortality of patients with COVID-19 with an OR of 17.06 (95% CI 2.02-144.36; p = 0.009) and 46.8 (95% CI 4.63-472.77; p = 0.001), respectively. Moreover, the multiple S protein mutations almost reached a strong association with patients' hospitalization (p = 0.07). We concluded that hypertension and anticoagulant therapy have a significant impact on COVID-19 outcomes. This study also suggests that multiple S protein mutations may impact the COVID-19 outcomes. This further emphasized the significance of monitoring SARS-CoV-2 variants through genomic surveillance, particularly those that may impact the COVID-19 outcomes.

Item Type: Article
Subjects: R Medicine > RP Public Health and Nutrition
Divisions: Faculty of Medicine, Public Health and Nursing > Public Health and Nutrition
Depositing User: Sri JUNANDI
Date Deposited: 14 Oct 2024 08:33
Last Modified: 14 Oct 2024 08:33
URI: https://ir.lib.ugm.ac.id/id/eprint/9360

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