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1.
Daniela Matuozzo; Estelle Talouarn; Astrid Marchal; Jeremy Manry; Yoann Seeleuthner; Yu Zhang; Alexandre Bolze; Matthieu Chaldebas; Baptiste Milisavljevic; Peng Zhang; Adrian Gervais; Paul Bastard; Takaki Asano; Lucy Bizien; Federica Barzaghi; Hassan Abolhassani; Ahmad Abou Tayoun; Alessandro Aiuti; Ilad Alavi Darazam; Luis Allende; Rebeca Alonso-Arias; Andres Augusto Arias; Gokhan Aytekin; Peter Bergman; Simone Bondesan; Yenan Bryceson; Ingrid Bustos; Oscar Cabrera-Marante; Sheila Carcel; Paola Carrera; Giorgio Casari; Khalil Chaibi; Roger Colobran; Antonio Condino-Neto; Laura Covill; Loubna El Zein; Carlos Flores; Peter Gregersen; Marta Gut; Filomeen Haerynck; Rabih Halwani; Selda Hancerli; Lennart Hammarstrom; Nevin Hatipoglu; Adem Karbuz; Sevgi Keles; Christele Kyheng; Rafael Leon-Lopez; Jose Luis Franco; Davood Mansouri; Javier Martinez-Picado; Ozge Metin Akcan; Isabelle Migeotte; Pierre-Emmanuel Morange; Guillaume Morelle; Andrea Martin-Nalda; Giuseppe Novelli; Antonio Novelli; Tayfun Ozcelik; Figen Palabiyik; Qiang Pan-Hammarstrom; Rebeca Perez de Diego; Laura Planas-Serra; Daniel Pleguezuelo; Carolina Prando; Aurora Pujol; Luis Felipe Reyes; Jacques Riviere; Carlos Rodriguez-Gallego; Julian Rojas; Patrizia Rovere-Querini; Agatha Schluter; Mohammad Shahrooei; Ali Sobh; Pere Soler-Palacin; Yacine Tandjaoui-Lambiotte; Imran Tipu; Cristina Tresoldi; Jesus Troya; Diederik van de Beek; Mayana Zatz; Pawel Zawadzki; Saleh Zaid Al-Muhsen; Hagit Baris-Feldman; Manish Butte; Stefan Constantinescu; Megan Cooper; Clifton Dalgard; Jacques Fellay; James Heath; Yu-Lung Lau; Richard Lifton; Tom Maniatis; Trine Mogensen; Horst von Bernuth; Alban Lermine; Michel Vidaud; Anne Boland; Jean-Francois Deleuze; Robert Nussbaum; Amanda Kahn-Kirby; France Mentre; Sarah Tubiana; Guy Gorochov; Florence Tubach; Pierre Hausfater; Isabelle Meyts; Shen-Ying Zhang; Anne Puel; Luigi Notarangelo; Stephanie Boisson-Dupuis; Helen Su; Bertrand Boisson; Emmanuelle Jouanguy; Jean-Laurent Casanova; Qian Zhang; Laurent Abel; Aurelie Cobat.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-22281221

RESUMO

BackgroundWe previously reported inborn errors of TLR3- and TLR7-dependent type I interferon (IFN) immunity in 1-5% of unvaccinated patients with life-threatening COVID-19, and auto-antibodies against type I IFN in another 15-20% of cases. MethodsWe report here a genome-wide rare variant burden association analysis in 3,269 unvaccinated patients with life-threatening COVID-19 (1,301 previously reported and 1,968 new patients), and 1,373 unvaccinated SARS-CoV-2-infected individuals without pneumonia. A quarter of the patients tested had antibodies against type I IFN (234 of 928) and were excluded from the analysis. ResultsNo gene reached genome-wide significance. Under a recessive model, the most significant gene with at-risk variants was TLR7, with an OR of 27.68 (95%CI:1.5-528.7, P=1.1x10-4), in analyses restricted to biochemically loss-of-function (bLOF) variants. We replicated the enrichment in rare predicted LOF (pLOF) variants at 13 influenza susceptibility loci involved in TLR3-dependent type I IFN immunity (OR=3.70 [95%CI:1.3-8.2], P=2.1x10-4). Adding the recently reported TYK2 COVID-19 locus strengthened this enrichment, particularly under a recessive model (OR=19.65 [95%CI:2.1-2635.4]; P=3.4x10-3). When these 14 loci and TLR7 were considered, all individuals hemizygous (n=20) or homozygous (n=5) for pLOF or bLOF variants were patients (OR=39.19 [95%CI:5.2-5037.0], P=4.7x10-7), who also showed an enrichment in heterozygous variants (OR=2.36 [95%CI:1.0-5.9], P=0.02). Finally, the patients with pLOF or bLOF variants at these 15 loci were significantly younger (mean age [SD]=43.3 [20.3] years) than the other patients (56.0 [17.3] years; P=1.68x10-5). ConclusionsRare variants of TLR3- and TLR7-dependent type I IFN immunity genes can underlie life-threatening COVID-19, particularly with recessive inheritance, in patients under 60 years old.

2.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21257898

RESUMO

Facing the COVID-19 pandemic, testing individuals in order to promptly isolate positive people is one of the key actions. One approach to rapid testing might be to consider the olfactory capacities of trained detection dogs in order to develop a non-invasive, rapid and cheap mass detection approach, through the Volatile Organic Compounds (VOCs) signature of SARS-CoV-2 infection. The goal of this study was to determine the individual values of sensitivity and specificity of trained dogs when performing olfactory detection of COVID-19 on axillary sweat samples. Seven dogs were used to sniff a total of 218 samples (62 COVID-19 positive and 156 COVID-19 negative samples), based on a randomised and double-blinded protocol carried out on olfaction cone line-ups. To ensure a wide olfactory range as close as possible to operational conditions, the samples were retrieved from 13 different sites. Sensitivities varied from 87% to 94% for 6 dogs, and were above 90% for 3 of them. Only one dog, whose sensitivity was 60%, was not selected to subsequently enter the operational stage. Specificities varied from 78% to 92%, with 6 dogs over 85% and 4 dogs over 90%. Based on the calculated sensitivity and specificity for each dog, positive and negative predictive values (PPV and NPV) were calculated according to several prevalence rates of SARS-CoV-2 scenarii, and were compared to PPV and NPV of an "almost perfect" diagnostic tool. For 6 out of the 7 dogs, and for a prevalence rate of SARS-CoV-2 lower or equal than 40%, the NPV of the dogs were virtually the same as the one of the "almost perfect" tool. Along with other studies on olfactory detection of COVID-19 by dogs these positive and encouraging results suggest that olfactory dogs may play an important part in mass COVID-19 pre-testing situations.

3.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21253200

RESUMO

BackgroundWith the COVID-19 pandemic, documenting whether health care workers (HCWs) are at increased risk of SARS-CoV-2 contamination and identifying risk factors is of major concern. MethodsIn this multicenter prospective cohort study, HCWs from frontline departments were included in March and April 2020 and followed for 3 months. SARS-CoV-2 serology was performed at month 0 (M0), M1, and M3 and RT-PCR in case of symptoms. The primary outcome was laboratory-confirmed SARS-CoV-2 infection at M3. Risk factors of laboratory-confirmed SARS-CoV-2 infection at M3 were identified by multivariate logistic regression. ResultsAmong 1,062 HCWs (median [interquartile range] age, 33 [28-42] years; 758 [71.4%] women; 321 [30.2%] physicians), the cumulative incidence of SARS-CoV-2 infection at M3 was 14.6% (95% confidence interval [CI] [12.5; 16.9]). Risk factors were the working department specialty, with increased risk for intensive care units (odds ratio 1.80, 95%CI [0.38; 8.58]), emergency departments (3.91 [0.83; 18.43]) and infectious diseases departments (4.22 [0.92; 18.28]); active smoking was associated with reduced risk (0.36 [0.21; 0.63]). Age, sex, professional category, number of years of experience in the job or department, and public transportation use were not significantly associated with laboratory-confirmed SARS-CoV-2 infection at M3. ConclusionThe rate of SARS-CoV-2 infection in frontline HCWs was 14.6% at the end of the first COVID-19 wave in Paris and occurred mainly early. The study argues for an origin of professional in addition to private life contamination and therefore including HCWs in the first-line vaccination target population. It also highlights that smokers were at lower risk. Key messagesO_LIDuring the first epidemic wave, 14.6% of 1,062 first-line Health Care Workers had a positive serology and/or RT-PCR test for SARS-CoV-2. C_LIO_LIMost infections occurred early C_LIO_LIRisk was increased by working in infectious diseases (OR 4.22, 95% confidence interval [0.92; 18.28]), emergency (3.91 [0.83; 18.43]) and intensive care units (1.80, [0.38; 8.58]) C_LIO_LIBeing an active smoker was protective (0.36 [0.21; 0.3]). C_LI

4.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20127514

RESUMO

BackgroundIdentification of prognostic factors in COVID-19 remains a global challenge. The role of smoking is still controversial. ObjectiveTo evaluate the rate of daily smokers in patients with COVID-19. MethodsCOVID-19 in-and outpatients from a large French university hospital were systematically interviewed for their smoking status, use of e-cigarette and nicotinic substitutes. The rates of daily smokers in in-and outpatients were compared to those in the 2019 French general population, after standardization for sex and age. ResultsThe inpatient group was composed of 340 patients, median age 66 years: 203 men (59.7%) and 137 women (40.3%), median age for both 66 years, with a daily smokers rate of 4.1 % CI95% [2.3-6.9] (5.4% of men, 2.2% of women). The outpatient group was composed of 139 patients, median age 44 years: 62 men (44.6%, median age 43 years), and 77 women (55.4%, median age 44 years). The daily smoker rate was 6.1 % CI 95% [2.7 - 11.6] (5.1% of men, 6.8% of women). In the 2019 French population, the daily smoker rate was 24.0% (27.5% of men, 20.7% of women). Among inpatients, daily smokers represented 2.2% and 3.4% of the 45 dead patients and of the 29 patients transferred to ICU, respectively. The rate of daily smokers was significantly lower in COVID-19 patients, as compared to that in the French general population after standardization by age and sex, with Standardized Incidence Ratios of 0.24 [0.12-0.48] for outpatients and 0.24 [0.14-0.40] for inpatients. ConclusionDaily smokers rate in patients with symptomatic COVID-19 is lower as compared to the general population

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