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Association between prognostic factors and the outcomes of patients infected with SARS-CoV-2 harboring multiple spike protein mutations
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 C...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560824/ https://www.ncbi.nlm.nih.gov/pubmed/34725366 http://dx.doi.org/10.1038/s41598-021-00459-4 |
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author | Gunadi Hakim, Mohamad Saifudin Wibawa, Hendra Marcellus Trisnawati, Ika Supriyati, Endah Afiahayati Khair, Riat El Iskandar, Kristy Siswanto Irene Anggorowati, Nungki Daniwijaya, Edwin Widyanto Nugrahaningsih, Dwi Aris Agung Puspadewi, Yunika Simanjaya, Susan Puspitarani, Dyah Ayu Hanifin, Hana Fauzyyah Setiawan, Alvina Alexandra Tania, Irene Amalia, Cita Shafira Artayasa, I. Putu Aditio Rachman, Haries Mulyawan, Herdiyanto Ananda, Nur Rahmi Arguni, Eggi Nuryastuti, Titik Wibawa, Tri |
author_facet | Gunadi Hakim, Mohamad Saifudin Wibawa, Hendra Marcellus Trisnawati, Ika Supriyati, Endah Afiahayati Khair, Riat El Iskandar, Kristy Siswanto Irene Anggorowati, Nungki Daniwijaya, Edwin Widyanto Nugrahaningsih, Dwi Aris Agung Puspadewi, Yunika Simanjaya, Susan Puspitarani, Dyah Ayu Hanifin, Hana Fauzyyah Setiawan, Alvina Alexandra Tania, Irene Amalia, Cita Shafira Artayasa, I. Putu Aditio Rachman, Haries Mulyawan, Herdiyanto Ananda, Nur Rahmi Arguni, Eggi Nuryastuti, Titik Wibawa, Tri |
author_sort | Gunadi |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-8560824 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-85608242021-11-03 Association between prognostic factors and the outcomes of patients infected with SARS-CoV-2 harboring multiple spike protein mutations Gunadi Hakim, Mohamad Saifudin Wibawa, Hendra Marcellus Trisnawati, Ika Supriyati, Endah Afiahayati Khair, Riat El Iskandar, Kristy Siswanto Irene Anggorowati, Nungki Daniwijaya, Edwin Widyanto Nugrahaningsih, Dwi Aris Agung Puspadewi, Yunika Simanjaya, Susan Puspitarani, Dyah Ayu Hanifin, Hana Fauzyyah Setiawan, Alvina Alexandra Tania, Irene Amalia, Cita Shafira Artayasa, I. Putu Aditio Rachman, Haries Mulyawan, Herdiyanto Ananda, Nur Rahmi Arguni, Eggi Nuryastuti, Titik Wibawa, Tri Sci Rep Article 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. Nature Publishing Group UK 2021-11-01 /pmc/articles/PMC8560824/ /pubmed/34725366 http://dx.doi.org/10.1038/s41598-021-00459-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Gunadi Hakim, Mohamad Saifudin Wibawa, Hendra Marcellus Trisnawati, Ika Supriyati, Endah Afiahayati Khair, Riat El Iskandar, Kristy Siswanto Irene Anggorowati, Nungki Daniwijaya, Edwin Widyanto Nugrahaningsih, Dwi Aris Agung Puspadewi, Yunika Simanjaya, Susan Puspitarani, Dyah Ayu Hanifin, Hana Fauzyyah Setiawan, Alvina Alexandra Tania, Irene Amalia, Cita Shafira Artayasa, I. Putu Aditio Rachman, Haries Mulyawan, Herdiyanto Ananda, Nur Rahmi Arguni, Eggi Nuryastuti, Titik Wibawa, Tri Association between prognostic factors and the outcomes of patients infected with SARS-CoV-2 harboring multiple spike protein mutations |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560824/ https://www.ncbi.nlm.nih.gov/pubmed/34725366 http://dx.doi.org/10.1038/s41598-021-00459-4 |
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