Risk Factor Analysis For Sars-Cov-2 Seropositivity Within Assisted Reproductive.

Objective: Making decisions about how to fight the SARS-CoV-2 pandemic without completely disrupting our activity requires better tools that inform the extent of transmission Understanding risk factors of virus susceptibility could help us to establish intervention policies The objective of our work is to assess risk factors and seroprevalence in our patients in order to plan evidence-based strategies Design: Multicenter retrospective, anonymized cohort analysis performed in 11 private clinics belonging to the IVIRMA group in Spain Materials and Methods: Between April 27th and June 26th, 2020, 6140 individuals undergoing an assisted reproductive treatment were tested for SARS-CoV-2 Before tested, a symptomatic triage had been carried out and only patients classified with a negative triage attended the clinic for further testing SARS-CoV-2 specific IgG and IgM antibodies in serum were detected using EDI Novel Coronavirus COVID-19 ELISA kit (Epitope Diagnostics, USA) according to the manufacturer’s instructions We divided our clinics into two different geographic areas: region A (seroprevalence 5%) based on the results obtained in our population Statistical analyses were performed using the Statistical Package for Social Sciences 19 0 (IBM Corporation, Armonk, NY, USA) Results: Of the 6140 persons tested for SARS-CoV-2, 4470 (72 8%) were women and 1670 (27 2%) men Over the course of the study, 42 (0 7%) tested positive for SARS-CoV-2 IgM antibodies Seropositivity does not vary significantly with age and we did not observe differences regarding gender or blood group However, we found that individuals with negative rhesus (Rh) factor had a slightly greater risk of being seropositive (RR 2 5 [129-2 13]) than those Rh positive There are no differences in the percentage of people in the active phase of the disease depending on the geographical area (RR 0 8 [0 43-1 52]) However, when we analysed the data according to time, the rate of positive individuals does not vary throughout the weeks in region A, while for the region B the incidence of IgM drops significantly (p=0 003) from the first week of the study (3 7%) to the last (0 0%), which would indicate decline of the virus transmission over time When we analysed the seropositivity rate according the partner’s serological status, the data showed that there is approximately 10 times more incidence of being positive IgG in couples than in random population Conclusions: We show that in areas with higher prevalence of the disease, the percentage of IgM positive individuals is also higher Also, there is a greater risk of being infected when the couple is already seropositive No differences were observed according the age and there is higher prevalence in Rh-negative individuals