Scientific Reports (Nov 2021)

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

  • Gunadi,
  • Mohamad Saifudin Hakim,
  • Hendra Wibawa,
  • Marcellus,
  • Ika Trisnawati,
  • Endah Supriyati,
  • Afiahayati,
  • Riat El Khair,
  • Kristy Iskandar,
  • Siswanto,
  • Irene,
  • Nungki Anggorowati,
  • Edwin Widyanto Daniwijaya,
  • Dwi Aris Agung Nugrahaningsih,
  • Yunika Puspadewi,
  • Susan Simanjaya,
  • Dyah Ayu Puspitarani,
  • Hana Fauzyyah Hanifin,
  • Alvina Alexandra Setiawan,
  • Irene Tania,
  • Cita Shafira Amalia,
  • I. Putu Aditio Artayasa,
  • Haries Rachman,
  • Herdiyanto Mulyawan,
  • Nur Rahmi Ananda,
  • Eggi Arguni,
  • Titik Nuryastuti,
  • Tri Wibawa

DOI
https://doi.org/10.1038/s41598-021-00459-4
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 24

Abstract

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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.