key: cord-0820946-a1lt565j authors: Courjon, Johan; Contenti, Julie; Demonchy, Elisa; Levraut, Jacques; Barbry, Pascal; Rios, Géraldine; Dellamonica, Jean; Chirio, David; Bonnefoy, Caroline; Giordanengo, Valérie; Carles, Michel title: COVID-19 patients age, comorbidity profiles and clinical presentation related to the SARS-CoV-2 UK-variant spread in the Southeast of France date: 2021-09-16 journal: Sci Rep DOI: 10.1038/s41598-021-95067-7 sha: 4e61819134c0e355fc3371d77ca746066429d5f3 doc_id: 820946 cord_uid: a1lt565j The variant 20I/501Y.V1, associated to a higher risk of transmissibility, emerged in Nice city (Southeast of France, French Riviera) during January 2021. The pandemic has resumed late December 2020 in this area. A high incidence rate together with a fast turn-over of the main circulating variants, provided us the opportunity to analyze modifications in clinical profile and outcome traits. We performed an observational study in the University hospital of Nice from December 2020 to February 2021. We analyzed data of sequencing of SARS-CoV-2 from the sewage collector and PCR screening from all positive samples at the hospital. Then, we described the characteristics of all COVID-19 patients admitted in the emergency department (ED) (n = 1247) and those hospitalized in the infectious diseases ward or ICU (n = 232). The UK-variant was absent in this area in December, then increasingly spread in January representing 59% of the PCR screening performed mid-February. The rate of patients over 65 years admitted to the ED decreased from 63 to 50% (p = 0.001). The mean age of hospitalized patients in the infectious diseases ward decreased from 70.7 to 59.2 (p < 0.001) while the proportion of patients without comorbidity increased from 16 to 42% (p = 0.007). Spread of the UK-variant in the Southeast of France affects younger and healthier patients. www.nature.com/scientificreports/ At the same time, the UK-variant, emerged in January in our area. The specific epidemiologic trends of COVID-19 epidemic in our area, i.e., a high incidence rate together with a fast turn-over of the main circulating variants, provided us the opportunity to analyze the UK-variant-related clinical profile and outcome traits. Timeline of UK-variant spreading. The Consistent with these data, the random sequencing of positive PCR recorded from December 18th to 26th at Nice University hospital showed no identification of the UK-variant. This analysis was coordinated by the French National Center for Coronavirus (Institut des Agents Infectieux, CNR, HCL-Lyon) and was performed on 25% all the 73 positive patient's samples isolated during this period. Finally, a systematic screening PCR to identified latent variants was scheduled starting late January, on governmental recommendation. At this time, all positive PCR done at the Nice Hospital were screened. The rate of UK-variant during Aft1-F was 20% of all positive PCR, then 59% during Aft2-F. Altogether, these data suggested that the UK-variant was absent in our area in December 2020, then increasingly spread in January 2021. Cohort profile of Covid-19 patients admitted in ED, overtime. From December 1st to February 28th, 1247 patients were admitted for a suspected or diagnosed SARS-CoV-2 infection (Elderly Care Facilities people not included), aged 66.1 ± 17.9 years, 54.0% male gender. Six patients (0.5%) died in the ED, while n = 731 patients (58.6%) were hospitalized in a medical ward and n = 109 (8.7%) in ICU; the remaining, n = 401 (32.1%) were sent back home (ambulatory follow-up). Patients and clinical characteristics are reported (Table 1) . Trends in patient's age (overall) and hospital location after ED (following the initial medical assessment) over these 3-month period are reported (Fig. 1) . Until February 22nd, we identified 29 hospitalized patients bearing the UK-variant. After pairing cases (n = 29) versus controls (n = 58) on age (61.0 ± 10.7 vs 61.6 ± 11.9 years) and gender (51.7% male in each group), we compared time 1st symptoms-ED admission and the ED NEWS-2 score (cases vs controls) respectively: 7.3 ± 3.5 vs 6.8 ± 3.9, p = 0.424 and 6.2 ± 2.4 vs 6.4 ± 3.0, p = 0.642. Patients admitted in the ED required immediate ICU management in respectively 10.3% (3/29) and 12.0% (7/58), p = 0.810. Hospitalized patients in the infectious diseases and ICU departments: a three-periods assessment comparison. The three a posteriori defined groups, i.e., Bef-F, Aft1-F and Aft2-F respectively, included 51, 72 and 54 patients. Comparison of main data between groups are reported ( Table 2) . At the time of analysis, some data were not analyzed because of missing points due to shortness of follow-up with patients still hospitalized (length of stay, mortality). In patients under 65 years old hospitalized in ID department (n = 76), the rate of patients without any comorbidity rose from 21% (Bef-F) to 50% (Aft2-F), p = 0.029. The occurrence of UK-variant at the end of 2020 is of major concern, because of the contagiousness issue 1,4 and therefore the risk of an increased number of patients requiring an ICU bed. Beyond the good organization of the flow of an increased number of patients, the question arises as to whether this lineage is also associated with a more severe clinical presentation, which could involve younger patients. Our results show that patients admitted in January and February 2021 in ED for a COVID-19 and therefore hospitalized for a COVID-19-related www.nature.com/scientificreports/ pneumonia are significantly younger with around 50% of them aged less than 65 years old. Our data strongly support the increased risk of SARS-CoV-2-related severe pneumonia in younger patients contemporaneously to the spread of the UK-variant in our area. The severity issue is less conclusive. The rate of ED patients admitted in ICU increases, but an increased clinical severity is not obvious, as neither the NEWS-2 score nor the main signs of clinical severity (oxygen requirement, respiratory rate) have changed over time. Even when UK-variant patients were paired on age and gender, no difference in term of early-stage severity was evidenced. In the same way, patients hospitalized in the ID department did not show a more severe inflammatory response or extended CT scan lung injuries at later times, i.e., after the spread of the UK-variant. Finally, for ICU patients, neither the severity score at admission (SAPSII) www.nature.com/scientificreports/ nor the depth of the respiratory distress seemed to increase by the variant. Altogether, there is no evidence to support a different and/or more severe clinical picture of the SARS-CoV-2-related pneumonia with the UK-variant. The occurrence and severity of COVID-19 has been related to comorbidities like diabetes, hypertension or obesity 6, 7 . Importantly, we provide herein data in favor of an increased ratio of healthy patients (i.e., without comorbidities) hospitalized for a SARS-CoV-2 related pneumonia associated to the spread of the UK-variant in the fifth-largest city of France. Combined to the patient's younger age, this brings several concerns. The most immediate is about the risk of having a pandemic evolving toward young and healthy populations, with even greater social consequences. Another consequence, supported by our data is the increase of patients with younger age/comorbidity free-related ICU requirement. So far, older patients with comorbidities have a greater risk of ICU admission 8, 9 . The increase of younger people admitted in ED for a COVID-19, in our cohort, is associated with a trend of increased ICU ratio requirement afterward. The same trend was noticed in the ID department. As the severity is not obviously increased, a likely explanation is that physicians, after months of fighting against the pandemic with critical patients mainly over 65 years old, have been surprised to receive younger patients with severe pneumonia, leading possibly to a higher ICU demand. As the pandemic rises concerns about ICU being overwhelmed, such change in patient's profile brings new insights in the debate about ICU triage 10, 11 . Furthermore, according to the country of interest, the vaccination strategy may have to be reconsidered in order to include a younger part of the population at risk of severe or critical COVID-19. Finally, the effect of the UKvariant on SARS-Cov-2-related mortality cannot be appropriately assessed here because, giving a mortality rate under 0.5%, the required sample size needs to be thousands of patients 2 . The number of patients managed in our hospital and the duration of follow-up available do not allowed us to consider the final outcome for comparison between study periods. Until today, reports of a relationship between SARS-CoV-2 genetic specificities among variants and clinical presentation are scarce. One variant with a deletion (∆382) in the open reading frame 8 have been associated to milder infections in Singapore 12 and may have play a role in the very low case fatality rate in this country 13 . Spike mutation D614G that probably occurs in China before its diffusion in Europe is associated with a decreased age of COVID-19 patients possibly due to an increased viral load in younger patients 14 . The N501Y mutation is associated with adaptation to rodent, for instance mice 15 and may increase SARS-CoV-2 Spike protein binding to ACE2 because of conformational changes, thus increasing its transmissibility 1 . The role of ∆69/∆70 on the spike protein is also potentially involved in the increased transmissibility 16 . The spread of the UK-variant was found associated with a higher transmissibility as reported by others 4 . Since our data are mainly on hospitalized patients, the carriage of the UK-variant in a younger population bears further studies about the clinical fraction associated to the variant in the population 17 outside the hospital. A puzzling question is why younger patients need now to be hospitalized, which was not the case before? The higher transmissibility of UK-variant is supposed to be similar among all age groups 18 . As of 26th of February, 60,000 inhabitants of Alpes Maritimes had received two doses of vaccine. Increased herd immunity after vaccination of the old community and mortality during the two previous epidemic peaks in France that has affected the most fragile elderly may have independently contributed to the observation of fewer patients over 75-year-old requiring hospitalization. Our study has some limitations. First, data are retrospective. Then, data on the UK-variant spread results from analysis of sewage or selected hospital samples and not from a systematic survey. Data on hospitalized patients (variant versus "common" strain) are incomplete. Finally, patient's data were extracted from ED, ID, and a medical ICU of the University hospital of Nice, but patients hospitalized in other hospitals from the ED were not included in the study, leading to incomplete analysis of involved patients. Our study does not allow to distinguish an effect of the UK-variant at the individual level, that is a higher probability to develop pneumonia after a contact with the virus due to the Spike protein RBD mutations, from a modification of virus diffusion in the Southeast of France population leading to a higher exposure of younger inhabitants which could be related to the virus itself or to a modification in non-pharmaceutical interventions adherence. Finally, the effect of the UK-variant on SARS-Cov-2-related mortality cannot be assessed here because, giving a mortality rate under 0.5%, the required sample size needs to be thousands of patients 2 and our study wasn't designed on purpose. In summary, our data alerts on the consequences of the UK-variant spreading with younger and healthier patients requiring hospitalization for a SARS-CoV-2 pneumonia. Health system impact (with the risk of overwhelming ICU and medical units) as well as social consequences should be assessed in larger prospective studies. The spread of SARS-CoV-2 variants displaying a higher transmissibility may be associated with an increased diffusion across younger ages groups. Therefore, vaccination strategies and preventive nonpharmaceutical interventions need to integrate people less than 65 years-old even those without any medical history. We designed an observational study to assess the clinical profile and outcome of patients infected with the SARS-CoV-2, before and during the spread of the UK-variant. Patients admitted in the Emergency department (ED), in the Infectious Diseases department (IDD) and the ICU at Nice University Hospital (Cote d' Azur University UCA), France, were part of this study. Data were extracted from the hospital electronic database (n°410) of patient's record, registered on clinicaltrial.gov NCT04779021, also from the hospital Virology Lab and the Institut de Pharmacologie Moléculaire et Cellulaire, UMR7275 CNRS/UNS (for sewage samples analysis). In the way to quickly characterize the clinical consequences of the spread of these new variants, we designed a three-step approach. First step: Spread of the UK-variant in our area and among hospitalized patients. Data of the sequencing of SARS-CoV-2 identified from the sewage collector of the city of Nice (overall gathering) in December and January, www.nature.com/scientificreports/ and PCR screening from all positive samples analyzed at the hospital Virology Lab from newly admitted and diagnosed patients (starting late January 2021). Second step: Concomitant epidemiology and clinical characteristics at hospital admission of COVID-19 overtime, by an evaluation over a three-month period, from December 1st, 2020, to February 22nd, 2021, of all patients admitted in the ED for COVID-19. Demographic data, clinical severity as recorded by the NEWS-2 scoring system and the follow-up (ward admission versus ambulatory follow-up). Patients coming from Elderly Care facilities clusters or transferred from another hospital with a SARS-CoV-2 positive PCR were not included in the study. Third step: Clinical severity and follow-up of hospitalized patients for a SARS-CoV-2 pneumonia, in the IDD or ICU over three fortnights: • the two fortnights after starting a PCR screening from all positive samples analyzed at the hospital Virology Lab from newly admitted and diagnosed patients ) kits, following manufacturer's instructions. Identification of the 20I/501Y.V1 variant was further verified by sequencing by sequencing a random set of samples in which the reliability of the RT-PCR screening tests was checked. Briefly, Spike protein regions covering ∆69/70 and ∆144 deletions, as well as the N501Y substitution, were amplified through RT-PCR, and amplicons were sequenced by the Sanger method. Patients who were hospitalized with an identification of the UK-variant at the Virology Lab (see upper) were paired (1:2) with patients hospitalized during the three first weeks of December (variant-free period), on age and gender. News-2 score, time 1st symptoms-ED admission and further hospital orientation (ICU versus medical ward) were the main evaluated criteria. Data were expressed as mean ± standard deviation SD Early transmissibility assessment of the N501Y mutant strains of SARS-CoV-2 in the United Kingdom Risk of mortality in patients infected with SARS-CoV-2 variant of concern 202012/1: Matched cohort study Threat Assessment Brief: Rapid increase of a SARS-CoV-2 variant with multiple spike protein mutations observed in the United Kingdom Early assessment of diffusion and possible expansion of SARS-CoV-2 Lineage 20I/501Y.V1 (B.1.1.7, variant of concern 202012/01) in France COVID 19 point épidémiologique Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: A retrospective cohort study Prevalence of comorbidity in Chinese patients with COVID-19: Systematic review and metaanalysis of risk factors Global impact of Coronavirus Disease 2019 infection requiring admission to the ICU: A systematic review and meta-analysis Demographic risk factors for COVID-19 infection, severity, ICU admission and death: A meta-analysis of 59 studies Which factors should be included in triage? An online survey of the attitudes of the UK general public to pandemic triage dilemmas Adult ICU triage during the Coronavirus Disease 2019 Pandemic: Who will live and who will die? Recommendations to improve survival Effects of a major deletion in the SARS-CoV-2 genome on the severity of infection and the inflammatory response: An observational cohort study A comparison of case fatality risk of COVID-19 between Singapore and Japan Evaluating the effects of SARS-CoV-2 spike mutation D614G on transmissibility and pathogenicity Adaptation of SARS-CoV-2 in BALB/c mice for testing vaccine efficacy Neutralising antibodies in Spike mediated SARS-CoV-2 adaptation Age-dependent effects in the transmission and control of COVID-19 epidemics Investigation of novel SARS-CoV-2 variant: Variant of Concern 202012/01. GOV We thank Rainer Waldmann for fruitful discussions. J.Cou., M.C. initiated the study. J.Cou., J.Con., P.B., V.G., M.C. contributed to the study design. E.D., J.L., G.R., J.D., D.C. contributed to the implementation and supervision of the study. J.Cou., J.Con., M.C. analysed the data and takes responsibility for the accuracy of the data analysis. J.Cou., J.Con., P.B., V.G., M.C. drafted the manuscript. All authors read and approved the final manuscript. Data are available upon reasonable request. The study was carried out as part of our routine work. The authors declare no competing interests. Correspondence and requests for materials should be addressed to J.C. 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