Impact of SARS-CoV-2 genetic variants on hospitalization of patients with COVID-19 from the national surveillance of the Nicaraguan Ministry of Health, March 2020 - September 2022

Authors

DOI:

https://doi.org/10.5377/esteli.v13i50.18474

Keywords:

SARS CoV-2, COVID-19, secuenciation, RT-PCR

Abstract

SARS-CoV-2 spread rapidly around the world, causing high morbidity and mortality, making genome sequencing essential. Numerous studies have shown how variants can influence hospitalization. This study aimed to identify the impact of SARS-CoV-2 genetic variants on the probability of hospitalization. A total of 1069 samples from COVID-19 patients across the country were sequenced using Illumina and Oxford Nanopore technologies. Descriptive analyses and logistic regression models were performed to determine associations between virus characteristics and the risk of hospitalization. The main results showed that the most frequent variants were Omicron and Delta (21.32%) and 19B (21.2%). The less common variants were 21C (Epsilon) and 21H (Mu). Mutations were identified in the N, M, ORFs, and S regions of the SARS-CoV-2 genome, including the S:D614G mutation. Significant differences were found in the age of people infected with different variants. There was a negative association between increasing age and the risk of infection with the 19B variant, and a positive association with the 20B and Delta variants. Additionally, associations were found between the 20A, 20B, 20C, and Delta variants and the risk of hospitalization. Age was a determining factor in the risk of infection by certain variants. Some variants increased the risk of hospitalization, and age, in combination with the genetic characteristics of the variants, influenced this risk. The study concludes that mutations of epidemiological importance were identified, especially the S:D614G mutation, and that certain mutations and genetic characteristics of the virus can confer a higher risk of hospitalization.

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References

Al-Rohaimi, A. H., & Al Otaibi, F. (2020). Novel SARS-CoV-2 outbreak and COVID19 disease; a systemic review on the global pandemic. Genes & Diseases, 7(4), 491–501. https://doi.org/10.1016/j.gendis.2020.06.004

Artic Network. (2020). Artic Network. https://artic.network/1-about.html

ARTIC SARS-CoV-2 Workflow. (2023). [Groovy]. EPI2ME Labs. https://github.com/epi2me-labs/wf-artic (Original work published 2021)

Brito, A. F., Semenova, E., Dudas, G., Hassler, G. W., Kalinich, C. C., Kraemer, M. U. G., Ho, J., Tegally, H., Githinji, G., Agoti, C. N., Matkin, L. E., Whittaker, C., Howden, B. P., Sintchenko, V., Zuckerman, N. S., Mor, O., Blankenship, H. M., de Oliveira, T., Lin, R. T. P., … Faria, N. R. (2022). Global disparities in SARS-CoV-2 genomic surveillance. Nature Communications, 13(1), Article 1. https://doi.org/10.1038/s41467-022-33713-y

Butt, A. A., Dargham, S. R., Chemaitelly, H., Al Khal, A., Tang, P., Hasan, M. R., Coyle, P. V., Thomas, A. G., Borham, A. M., Concepcion, E. G., Kaleeckal, A. H., Latif, A. N., Bertollini, R., Abou-Samra, A.-B., & Abu-Raddad, L. J. (2022). Severity of Illness in Persons Infected With the SARS-CoV-2 Delta Variant vs Beta Variant in Qatar. JAMA Internal Medicine, 182(2), 197–205. https://doi.org/10.1001/jamainternmed.2021.7949

Castañeda, S., Patiño, L. H., Muñoz, M., Ballesteros, N., Guerrero-Araya, E., Paredes-Sabja, D., Flórez, C., Gomez, S., Ramírez-Santana, C., Salguero, G., Gallo, J. E., Paniz-Mondolfi, A. E., & Ramírez, J. D. (2021). Evolution and Epidemic Spread of SARS-CoV-2 in Colombia: A Year into the Pandemic. Vaccines, 9(8), 837. https://doi.org/10.3390/vaccines9080837

El-Shabasy, R. M., Nayel, M. A., Taher, M. M., Abdelmonem, R., Shoueir, K. R., & Kenawy, E. R. (2022). Three waves changes, new variant strains, and vaccination effect against COVID-19 pandemic. International Journal of Biological Macromolecules, 204, 161–168. https://doi.org/10.1016/j.ijbiomac.2022.01.118

Farhud, D. D., & Mojahed, N. (2022). SARS-COV-2 Notable Mutations and Variants: A Review Article. Iranian Journal of Public Health, 51(7), 1494–1501. https://doi.org/10.18502/ijph.v51i7.10083

Freitas, A. R. R., Beckedorff, O. A., Cavalcanti, L. P. de G., Siqueira, A. M., Castro, D. B. de, Costa, C. F. da, Lemos, D. R. Q., & Barros, E. N. C. (2021). The emergence of novel SARS-CoV-2 variant P.1 in Amazonas (Brazil) was temporally associated with a change in the age and sex profile of COVID-19 mortality: A population based ecological study. The Lancet Regional Health - Americas, 1, 100021. https://doi.org/10.1016/j.lana.2021.100021

GISAID. (2022, April 4). GISAID - hCov19 Variants. hCov19 Variants. https://www.gisaid.org/hcov19-variants/

Greene, S. K., Levin-Rector, A., Kyaw, N. T. T., Luoma, E., Amin, H., McGibbon, E., Mathes, R. W., & Ahuja, S. D. (2023). Comparative hospitalization risk for SARS-CoV-2 Omicron and Delta variant infections, by variant predominance periods and patient-level sequencing results, New York City, August 2021–January 2022. Influenza and Other Respiratory Viruses, 17(1), e13062. https://doi.org/10.1111/irv.13062

Harris, J. E. (2022). COVID-19 Incidence and hospitalization during the delta surge were inversely related to vaccination coverage among the most populous U.S. Counties. Health Policy and Technology, 11(2), 100583. https://doi.org/10.1016/j.hlpt.2021.100583

Ihaka, R., & Gentleman, R. (1996). R: A Language for Data Analysis and Graphics. Journal of Computational and Graphical Statistics, 5(3), 299–314. https://doi.org/10.1080/10618600.1996.10474713

Korber, B., Fischer, W. M., Gnanakaran, S., Yoon, H., Theiler, J., Abfalterer, W., Hengartner, N., Giorgi, E. E., Bhattacharya, T., Foley, B., Hastie, K. M., Parker, M. D., Partridge, D. G., Evans, C. M., Freeman, T. M., de Silva, T. I., McDanal, C., Perez, L. G., Tang, H., … Montefiori, D. C. (2020). Tracking Changes in SARS-CoV-2 Spike: Evidence that D614G Increases Infectivity of the COVID-19 Virus. Cell, 182(4), 812-827.e19. https://doi.org/10.1016/j.cell.2020.06.043

Maier, H. E., Balmaseda, A., Saborio, S., Ojeda, S., Barilla, C., Sanchez, N., Lopez, R., Plazaola, M., Cerpas, C., van Bakel, H., Kubale, J., Harris, E., Kuan, G., & Gordon, A. (2022). Protection Associated with Previous SARS-CoV-2 Infection in Nicaragua. New England Journal of Medicine, 387(6), 568–570. https://doi.org/10.1056/NEJMc2203985

Maslo, C., Friedland, R., Toubkin, M., Laubscher, A., Akaloo, T., & Kama, B. (2022). Characteristics and Outcomes of Hospitalized Patients in South Africa During the COVID-19 Omicron Wave Compared With Previous Waves. JAMA, 327(6), 583–584. https://doi.org/10.1001/jama.2021.24868

Mishra, S., Mindermann, S., Sharma, M., Whittaker, C., Mellan, T. A., Wilton, T., Klapsa, D., Mate, R., Fritzsche, M., Zambon, M., Ahuja, J., Howes, A., Miscouridou, X., Nason, G. P., Ratmann, O., Semenova, E., Leech, G., Sandkühler, J. F., Rogers-Smith, C., … Flaxman, S. (2021). Changing composition of SARS-CoV-2 lineages and rise of Delta variant in England. EClinicalMedicine, 39, 101064. https://doi.org/10.1016/j.eclinm.2021.101064

Molina-Mora, J. A., Cordero-Laurent, E., Godínez, A., Calderón-Osorno, M., Brenes, H., Soto-Garita, C., Pérez-Corrales, C., Drexler, J. F., Moreira-Soto, A., Corrales-Aguilar, E., & Duarte-Martínez, F. (2021). SARS-CoV-2 genomic surveillance in Costa Rica: Evidence of a divergent population and an increased detection of a spike T1117I mutation. Infection, Genetics and Evolution, 92, 104872. https://doi.org/10.1016/j.meegid.2021.104872

Nanoporetech. (2022). Medaka [Python]. Oxford Nanopore Technologies. https://github.com/nanoporetech/medaka (Original work published 2017)

Nonaka, C. K. V., Gräf, T., Barcia, C. A. de L., Costa, V. F., de Oliveira, J. L., Passos, R. da H., Bastos, I. N., de Santana, M. C. B., Santos, I. M., de Sousa, K. A. F., Weber, T. G. L., Siqueira, I. C. de, Rocha, C. A. G., Mendes, A. V. A., & Souza, B. S. de F. (2021). SARS-CoV-2 variant of concern P.1 (Gamma) infection in young and middle-aged patients admitted to the intensive care units of a single hospital in Salvador, Northeast Brazil, February 2021. International Journal of Infectious Diseases, 111, 47–54. https://doi.org/10.1016/j.ijid.2021.08.003

Organización Mundial de la Salud. (2020, March 11). Alocución de apertura del Director General de la OMS en la rueda de prensa sobre la COVID-19 celebrada el 11 de marzo de 2020. https://www.who.int/es/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020

Organización Panamericana de la Salud. (2022, December 28). Weekly COVID-19 Epidemiological Update -EW51- 28 December 2022—PAHO/WHO. PAHO. https://www.paho.org/en/documents/paho-weekly-covid-19-epidemiological-update-ew51-28-december-2022

Oxford Nanopore Technolgies. (2021). Oxford Nanopore launches ‘Midnight kit’, suitable for low to high-throughput SARS-CoV-2 sequencing, enabling rapid, low-cost, large-scale genomic surveillance of COVID-19. Oxford Nanopore Technologies. http://nanoporetech.com/about-us/news/oxford-nanopore-launches-midnight-kit-suitable-low-high-throughput-sars-cov-2

Prüβ, B. M. (2022). Variants of SARS CoV-2: Mutations, transmissibility, virulence, drug resistance, and antibody/vaccine sensitivity. Frontiers in Bioscience-Landmark, 27(2), Article 2. https://doi.org/10.31083/j.fbl2702065

Thulin, M. (2021). Chapter 8.3: Generalised linear models. In Modern Statistics with R (pp. 315–326). Eos Chasma Press.

Van Goethem, N., Chung, P. Y. J., Meurisse, M., Vandromme, M., De Mot, L., Brondeel, R., Stouten, V., Klamer, S., Cuypers, L., Braeye, T., Catteau, L., Nevejan, L., van Loenhout, J. A. F., & Blot, K. (2022). Clinical Severity of SARS-CoV-2 Omicron Variant Compared with Delta among Hospitalized COVID-19 Patients in Belgium during Autumn and Winter Season 2021–2022. Viruses, 14(6), Article 6. https://doi.org/10.3390/v14061297

Wick, R. (2022). Adapter trimmer for Oxford Nanopore reads [C++]. https://github.com/rrwick/Porechop (Original work published 2017)

Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., Niu, P., Zhan, F., Ma, X., Wang, D., Xu, W., Wu, G., Gao, G. F., & Tan, W. (2020). A Novel Coronavirus from Patients with Pneumonia in China, 2019. New England Journal of Medicine, 382(8), 727–733. https://doi.org/10.1056/NEJMoa2001017

Published

08-08-2024

How to Cite

Vásquez Alemán, G., Cerpas Cruz, C., Moreira Tijerino, H., Mayorga-Marín, F., Juárez, J., Arguello, S., … Balmaseda, Ángel. (2024). Impact of SARS-CoV-2 genetic variants on hospitalization of patients with COVID-19 from the national surveillance of the Nicaraguan Ministry of Health, March 2020 - September 2022. Revista Científica Estelí, 13(50), 70–85. https://doi.org/10.5377/esteli.v13i50.18474

Issue

Section

PUBLIC HEALTH

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