Sex and gender differences in COVID-19: an Italian local register-based study

Author:

Fortunato FrancescaORCID,Martinelli Domenico,Lo Caputo Sergio,Santantonio Teresa,Dattoli Vitangelo,Lopalco Pier Luigi,Prato RosaORCID

Abstract

ObjectivesThe present study aimed to explore differences in COVID-19 outcomes between male and female cases in the Apulian District of Foggia, Italy.Design and settingWe performed a retrospective epidemiological study among all COVID-19 confirmed cases that occurred in the Apulian District of Foggia from 29 February to 30 June 2020. The surveillance data from a regional registry (GIAVA-COVID) were used.Main outcomesThe main outcome measures were the proportion of hospitalisations, virus clearance and the case fatality rate.ResultsA total of 1175 cases (50.7% female; median age: 55 years) were identified among 55 131 tests performed. The proportion of hospitalisation with COVID-19 diagnosis was 45.4% in men versus 37.9% in women (p<0.01), while the average length of stay in hospitals was 31.3±14.6 days in women versus 26.8±14.4 days in men (p<0.01). The proportion of cases who achieved virus clearance was higher in women (84.2%; days to clearance: 28.0±12.1) than in men (79.3%; days to clearance: 29.4±12.9; p<0.05). Men were associated with a significantly higher risk of dying from COVID-19 than women (case fatality rate 16.1% vs 10.4%; p<0.01). The mean time, from diagnosis to death, was 14.5±14.4 days in women compared with 10.6±10.7 days in men (p<0.01). The male sex, age ≥55 years and presence of at least one underlying comorbidity significantly raised the risk of hospitalisation, persistent infection and death (p<0.05).ConclusionsThis study suggests that more attention should be paid to sex as a variable for the interpretation of COVID-19 data. Sex-disaggregated data will help clinicians to make appropriate patient-tailored medical decisions.

Publisher

BMJ

Subject

General Medicine

Reference41 articles.

1. COVID-19 integrated surveillance data in Italy. Available: https://www.epicentro.iss.it/en/coronavirus/sars-cov-2-dashboard [Accessed 10 Mar 2021].

2. Sex and gender differences in the outcome of patients with COVID-19;Falahi;J Med Virol,2021

3. Impact of age, sex, comorbidities and clinical symptoms on the severity of COVID-19 cases: a meta-analysis with 55 studies and 10014 cases;Barek;Heliyon,2020

4. Case-Fatality rate and characteristics of patients dying in relation to COVID-19 in Italy;Onder;JAMA,2020

5. Risk factors associated with acute respiratory distress syndrome and death in patients with coronavirus disease 2019 pneumonia in Wuhan, China;Wu;JAMA Intern Med,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3