Impact of the Alpha VOC on disease severity in SARS-CoV-2-positive adults in Sweden
Authors: Kristoffer Strålin, Daniel Bruce, Erik Wahlström, Sten Walther, Moa Rehn, AnnaSara Carnahan, Emmi Andersson, Anna M Bennet Bark, Håkan Hanberger
Journal: Journal of Infection (2021)

Variants of concern (VOC) have rapidly become the dominating SARS-CoV-2 viruses worldwide.1Campbell F. Archer B. Laurenson-Schafer H. Jinnai Y. Konings F. Batra N. et al.Increased transmissibility and global spread of SARS-CoV-2 variants of concern as at June 2021.Eurosurveill. 2021; 262100509Crossref Scopus (486) Google Scholar,2European Centre for Disease Prevention and Control (ECDC). Data on SARS-CoV-2 variants in the EU/EEA. Sept. 2, 2021. https://www.ecdc.europa.eu/en/publications-data/data-virus-variants-covid-19-eueea (accessed Sept. 2, 2021).Google Scholar Concerns have been raised that VOC may cause more severe disease than non-VOC.3Cevik M. Mishra S. SARS-CoV-2 variants and considerations of inferring causality on disease severity.Lancet Infect Dis. 2021; (Online ahead of print)Abstract Full Text Full Text PDF Scopus (14) Google Scholar Cevik and Mishra3Cevik M. Mishra S. SARS-CoV-2 variants and considerations of inferring causality on disease severity.Lancet Infect Dis. 2021; (Online ahead of print)Abstract Full Text Full Text PDF Scopus (14) Google Scholar concluded that Alpha VOC (lineage B.1.1.7) positivity was associated with increased risk for hospitalization in four of five, and for death in five of six community-based studies, but was not associated with increased mortality in 3 hospital-based studies. Two of these hospital-based studies4Patone M. Thomas K. Hatch R. San Tan P. Coupland C. Liao W. et al.Mortality and critical unit admission associated with the SARS-CoV-2 lineage B.1.1.7 in England: an observational cohort study.Lancet Infect Dis. 2021; (Online ahead of print)Abstract Full Text Full Text PDF PubMed Scopus (64) Google Scholar,5Frampton D. Ramling T. Cross A. Bailey H. Heaney J. Byott M. et al.Genomic characteristics and clinical effect of the emergent SARS-CoV-2 B1.1.7 lineage in London, UK: a whole-genome sequencing and hospital-based cohort study.Lancet Infect Dis. 2021; (Online ahead of print)Abstract Full Text Full Text PDF PubMed Scopus (266) Google Scholar also evaluated disease severity and did not find an association with Alpha VOC. Accordingly, in this journal, Whittaker et al.6Whittaker R. Bråthen Kristofferson A. Seppälä E. Valcarcel Salamanca B. Veneti L. Larsdatter Storm M. et al.J Infect. 2021; S0163-4453003662Google Scholar reported no difference between hospitalised patients infected with Alpha VOC and those infected with non-VOC, regarding length of stay in hospital, length of stay in the intensive care unit (ICU), and mortality. The discrepancy between these community-based and hospital-based studies regarding the impact of the Alpha VOC on disease severity motivated us to conduct a Swedish study on disease severity in the population and among hospitalised individuals. Our primary analysis was a comparison between two national cohorts from a period prior to VOC introduction and a period of Alpha VOC dominance, respectively. Our secondary analysis included individuals diagnosed with Alpha VOC or non-VOC, respectively. The study was conducted by the Public Health Agency of Sweden and the National Board of Health and Welfare. Three key considerations for studies on the association between specific SARS-CoV-2 lineages and disease severity have been pointed out,3Cevik M. Mishra S. SARS-CoV-2 variants and considerations of inferring causality on disease severity.Lancet Infect Dis. 2021; (Online ahead of print)Abstract Full Text Full Text PDF Scopus (14) Google Scholar these being: handling of confounding factors; avoidance of selection bias regarding population for inclusion; and comparative timing of inclusion to avoid influence from other factors such as change in hospital load. These key considerations were applied in this study. To handle confounding factors, we chose to include SARS-CoV-2 test-positive individuals 20–69 years old without comorbidity and without care dependency. To reduce the risk of selection bias regarding inclusion in the primary analysis, all individuals meeting the inclusion criteria in Sweden were included. To address timing of inclusion in the primary analysis, we designed a comparison analysis of two national cohorts of individuals fulfilling the inclusion criteria, with study periods containing similar numbers of positive cases per week in both cohorts – a non-VOC cohort (second national wave; weeks 45–51 2020; n = 186 313 [average 26 600/week]; median age 42 years, 53% females) and an Alpha VOC dominated cohort (third national wave; weeks 12–16 2021; n = 137 999 [average 27 600/week]; median age 41 years, 49% females). Among whole genome sequenced SARS-CoV-2-positive cases in Sweden, no case of Alpha VOC was identified during weeks 45–51 (the first case was identified in week 52),7Public Health Agency of Sweden. Statistik om SARS-CoV-2 virusvarianter av särskild betydelse: Januari-februari 2021. March 15, 2021. https://www.folkhalsomyndigheten.se/smittskydd-beredskap/utbrott/aktuella-utbrott/covid-19/statistik-och-analyser/sars-cov-2-virusvarianter-av-sarskild-betydelse/tidigare-statistik/januari-februari-2021/ (accessed Sept. 2, 2021).Google Scholar but was identified in 87–95% of cases during weeks 12–16.8Public Health Agency of Sweden. Statistik om SARS-CoV-2 virusvarianter av särskild betydelse. Aug. 27, 2021. https://www.folkhalsomyndigheten.se/smittskydd-beredskap/utbrott/aktuella-utbrott/covid-19/statistik-och-analyser/sars-cov-2-virusvarianter-av-sarskild-betydelse/ (accessed Sept. 2, 2021).Google Scholar Until week 16, the vaccination against Covid-19 in Sweden had mainly covered persons with high age, care dependency, and/or comorbidity. The secondary analysis was based on a nationwide typing project of individuals who were SARS-CoV-2 positive during weeks 5–12 (2021). Using targeted typing PCR, 12 321 individuals meeting the inclusion criteria were confirmed to be either Alpha VOC positive (n = 8273; median age 42 years, 55% females) or VOC negative (n = 4048; median age 41 years, 51% females). Nationwide register data on demographic factors, country of birth, care dependency, comorbidity, hospitalization, ICU admission, mortality, discharge codes, SARS-CoV-2 positivity, and related variables were compiled, using the unique national personal identification number, as described previously.9Strålin K. Wahlström E. Walther S. Bennet-Bark A.M. Heurgren M. Lindén T. et al.Mortality trends among hospitalised COVID-19 patients in Sweden: a nationwide observational study.Lancet Reg Health Eur. 2021; 4100054Abstract Full Text Full Text PDF PubMed Scopus (32) Google Scholar Individuals who were admitted to hospital for any reason 5 days prior until 14 days after the first SARS-CoV-2 positive test were considered hospitalised due to COVID-19. Those who either received high-flow nasal oxygen (according to a specific national discharge code) or were admitted to an ICU during their hospital stay were considered to have severe illness due to COVID-19. The results of the two analyses are displayed in Table 1. Compared to the non-VOC cohort, the Alpha VOC dominated cohort had significantly higher rates of hospitalisation, severe illness, and death overall, and a significantly higher rate of severe illness among hospitalised individuals. In the secondary analysis, Alpha VOC positive individuals had significantly higher rates of hospitalisation and severe illness than VOC negative individuals overall, but the numbers were too small to evaluate differences in severity rate among hospitalised individuals.Table 1Outcome frequencies and odds ratios (OR) for national cohort and variant of concern (VOC) status comparisons, among SARS-CoV-2 positive individuals 20–69 years old without comorbidity and without care dependency in Sweden.OutcomeNational cohort comparisonVOC status comparisonNon-VOC cohortAlpha VOC dominated cohortAlpha VOC dominated cohort vs. Non-VOC cohortVOC negative individualsAlpha VOC positive individualsAlpha VOC positive individuals vs. VOC negative individualsNo. with outcome/ No. at risk (%)No. with outcome/ No. at risk (%)OR1From a logistic regression model adjusted for age, sex, country of birth, and healthcare region. (95% CI)No. with outcome/ No. at risk (%)No. with outcome/ No. at risk (%)OR2From a logistic regression model adjusted for age, sex, country of birth, healthcare region, and week of positive test. (95% CI)SARS-CoV-2 positive individuals (overall study population)Hospitalisation3730/186,313 (2.0)4420/137,999 (3.2)1.71 (1.64–1.79)49/4048 (1.2)217/8273 (2.6)2.38 (1.66–3.41)Severe illness3High-flow nasal oxygen or admission to an intensive care unit during hospital stay.638/186,313 (0.34)1001/137,999 (0.73)2.09 (1.89–2.32)6/4048 (0.15)37/8273 (0.45)2.85 (1.08–7.46)Death4All-cause death within 45 days from the first SARS-CoV-2 positive test.87/186,313 (0.047)98/137,999 (0.071)1.54 (1.15–2.07)2/4048 (0.049)6/8273 (0.073)NA5NA, not analysed, due to low numbers of the outcome.Hospitalised SARS-CoV-2 positive individualsSevere illness3High-flow nasal oxygen or admission to an intensive care unit during hospital stay.638/3730 (17)1001/4420 (23)1.33 (1.18–1.50)6/49 (12)37/217 (17)NA5NA, not analysed, due to low numbers of the outcome.Death6All-cause death within 45 days from hospital admission.62/3730 (1.7)80/4420 (1.8)1.14 (0.80–1.61)2/49 (4.1)4/217 (1.8)NA5NA, not analysed, due to low numbers of the outcome.1 From a logistic regression model adjusted for age, sex, country of birth, and healthcare region.2 From a logistic regression model adjusted for age, sex, country of birth, healthcare region, and week of positive test.3 High-flow nasal oxygen or admission to an intensive care unit during hospital stay.4 All-cause death within 45 days from the first SARS-CoV-2 positive test.5 NA, not analysed, due to low numbers of the outcome.6 All-cause death within 45 days from hospital admission. Open table in a new tab In conclusion, in this Swedish population of SARS-CoV-2-positive adult individuals, without risk factors, infection with the Alpha VOC was associated with greater disease severity in the overall population which is in agreement with most other community based studies3Cevik M. Mishra S. SARS-CoV-2 variants and considerations of inferring causality on disease severity.Lancet Infect Dis. 2021; (Online ahead of print)Abstract Full Text Full Text PDF Scopus (14) Google Scholar. However, among hospitalised individuals, we found a higher frequency of severe illness in the Alpha VOC dominated cohort than in the non-VOC cohort, indicating greater severity of Alpha VOC also in hospitalised individuals. This finding was in contrast to those of other hospital-based studies4Patone M. Thomas K. Hatch R. San Tan P. Coupland C. Liao W. et al.Mortality and critical unit admission associated with the SARS-CoV-2 lineage B.1.1.7 in England: an observational cohort study.Lancet Infect Dis. 2021; (Online ahead of print)Abstract Full Text Full Text PDF PubMed Scopus (64) Google Scholar, 5Frampton D. Ramling T. Cross A. Bailey H. Heaney J. Byott M. et al.Genomic characteristics and clinical effect of the emergent SARS-CoV-2 B1.1.7 lineage in London, UK: a whole-genome sequencing and hospital-based cohort study.Lancet Infect Dis. 2021; (Online ahead of print)Abstract Full Text Full Text PDF PubMed Scopus (266) Google Scholar, 6Whittaker R. Bråthen Kristofferson A. Seppälä E. Valcarcel Salamanca B. Veneti L. Larsdatter Storm M. et al.J Infect. 2021; S0163-4453003662Google Scholar, and may be due to a greater number of individuals at risk in the present study. Continued surveillance of virus evolution and its influence on disease severity is crucial in the continued response to the pandemic. A model similar to that of the present study, in combination with vaccination data, could be used to assess the impact of Delta VOC on disease severity. The study was approved by the Swedish Ethics Review Authority, Uppsala (Dnr 2020–04,278). Kristoffer Strålin: Conceptualization, Visualization, Data curation, Formal analysis, Methodology, Writing – original draft, Writing – review & editing. Daniel Bruce: Conceptualization, Visualization, Data curation, Formal analysis, Writing – review & editing. Erik Wahlström: Conceptualization, Visualization, Data curation, Formal analysis, Writing – review & editing. Sten Walther: Conceptualization, Visualization, Data curation, Formal analysis, Writing – review & editing. Moa Rehn, AnnaSara Carnahan: Conceptualization, Visualization, Data curation, Formal analysis, Writing – review & editing. Emmi Andersson: Conceptualization, Visualization, Data curation, Formal analysis, Writing – review & editing. Anna M Bennet Bark: Conceptualization, Visualization, Data curation, Formal analysis, Writing – review & editing. Håkan Hanberger: Conceptualization, Visualization, Data curation, Formal analysis, Writing – review & editing. The authors declare no competing interests. The authors wish to thank Johanna Holm, Thomas Lindén, and Mona Heurgren at the National Board of Health and Welfare for valuable discussions regarding study design, and Shaman Muradrasoli and Mia Brytting at the Public Health Agency of Sweden for their invaluable work on the virological surveillance of SARS-CoV-2 in Sweden. All clinical microbiological laboratories contributing with diagnostics and PCR-typing of the samples are greatly acknowledged.