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

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. Fi...

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Autores principales: 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
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Publicado: Nature Portfolio 2021
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spelling oai:doaj.org-article:03dd6700a2bb455db1202e0751b44a6c2021-11-08T10:54:57ZAssociation between prognostic factors and the outcomes of patients infected with SARS-CoV-2 harboring multiple spike protein mutations10.1038/s41598-021-00459-42045-2322https://doaj.org/article/03dd6700a2bb455db1202e0751b44a6c2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-00459-4https://doaj.org/toc/2045-2322Abstract 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.GunadiMohamad Saifudin HakimHendra WibawaMarcellusIka TrisnawatiEndah SupriyatiAfiahayatiRiat El KhairKristy IskandarSiswantoIreneNungki AnggorowatiEdwin Widyanto DaniwijayaDwi Aris Agung NugrahaningsihYunika PuspadewiSusan SimanjayaDyah Ayu PuspitaraniHana Fauzyyah HanifinAlvina Alexandra SetiawanIrene TaniaCita Shafira AmaliaI. Putu Aditio ArtayasaHaries RachmanHerdiyanto MulyawanNur Rahmi AnandaEggi ArguniTitik NuryastutiTri WibawaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-24 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
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
Association between prognostic factors and the outcomes of patients infected with SARS-CoV-2 harboring multiple spike protein mutations
description 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.
format article
author 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
author_facet 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
author_sort Gunadi
title Association between prognostic factors and the outcomes of patients infected with SARS-CoV-2 harboring multiple spike protein mutations
title_short Association between prognostic factors and the outcomes of patients infected with SARS-CoV-2 harboring multiple spike protein mutations
title_full Association between prognostic factors and the outcomes of patients infected with SARS-CoV-2 harboring multiple spike protein mutations
title_fullStr Association between prognostic factors and the outcomes of patients infected with SARS-CoV-2 harboring multiple spike protein mutations
title_full_unstemmed Association between prognostic factors and the outcomes of patients infected with SARS-CoV-2 harboring multiple spike protein mutations
title_sort association between prognostic factors and the outcomes of patients infected with sars-cov-2 harboring multiple spike protein mutations
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/03dd6700a2bb455db1202e0751b44a6c
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