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意大利新冠肺炎发病率比例的性别分布随时间的变化。

Time-related changes in sex distribution of COVID-19 incidence proportion in Italy.

作者信息

Bianconi Vanessa, Mannarino Massimo R, Bronzo Paola, Marini Ettore, Pirro Matteo

机构信息

Unit of Internal Medicine, Department of Medicine, University of Perugia, Perugia, Italy.

出版信息

Heliyon. 2020 Oct 17;6(10):e05304. doi: 10.1016/j.heliyon.2020.e05304. eCollection 2020 Oct.

Abstract

BACKGROUND

Variable sex-disaggregated data on Coronavirus disease 2019 (COVID-19) incidence proportion (IP) have been reported in different datasets and studies. Factors explaining the inconsistent distribution of COVID-19 among sexes are still unclear.

OBJECTIVES

This study aimed to analyse time-related variation of sex-disaggregated COVID-19 IP in Italy since March 9 to May 11 2020, and to test its association with the frequency of swab testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

STUDY DESIGN

Sex-disaggregated data on COVID-19 cases were collected from Italian publicly accessible databases along with undisaggregated data on the number of reverse transcriptase-polymerase chain reaction (RT-PCR) SARS-CoV-2 tests. Crude and adjusted associations between the frequency of RT-PCR SARS-CoV-2 testing and male-to-female (M/F) ratio of COVID-19 IP were performed.

RESULTS

COVID-19 IP increased progressively in both sexes. Sex prevalence of COVID-19 IP reversed over time, with the M/F ratio of COVID-19 IP having passed from 1,73 to 0,91. The mean number of daily swabs for RT-PCR SARS-CoV-2 test increased progressively until reaching a plateau in the last three weeks of the study period. The M/F ratio of COVID-19 IP inversely correlated with the number of daily swabs for RT-PCR SARS-CoV-2 test (r = -0,87, p < 0.001), even after adjusting for the median age of COVID-19 cases (β = -0,66, p < 0,001).

CONCLUSIONS

Time-related changes of sex distribution of COVID-19 IP in Italy are strongly influenced by the number of swabs testing for SARS-CoV-2. Whether gender-related disparities in the access to the diagnosis of COVID-19 may explain such a result need to be explored.

摘要

背景

不同数据集和研究报告了关于2019冠状病毒病(COVID-19)发病率比例(IP)的性别分类数据。解释COVID-19在性别间分布不一致的因素仍不清楚。

目的

本研究旨在分析2020年3月9日至5月11日意大利按性别分类的COVID-19发病率比例随时间的变化,并检验其与严重急性呼吸综合征冠状病毒2(SARS-CoV-2)拭子检测频率的关联。

研究设计

从意大利可公开获取的数据库中收集COVID-19病例的性别分类数据以及逆转录聚合酶链反应(RT-PCR)SARS-CoV-2检测数量的未分类数据。对RT-PCR SARS-CoV-2检测频率与COVID-19发病率比例的男女性别比(M/F)之间进行了粗关联和校正关联分析。

结果

COVID-19发病率比例在两性中均逐渐增加。COVID-19发病率比例的性别流行情况随时间逆转,COVID-19发病率比例的M/F比从1.73降至0.91。RT-PCR SARS-CoV-2检测的每日拭子平均数量逐渐增加,直至在研究期的最后三周达到平稳状态。即使在对COVID-19病例的年龄中位数进行校正后,COVID-19发病率比例的M/F比仍与RT-PCR SARS-CoV-2检测的每日拭子数量呈负相关(r = -0.87,p < 0.001)(β = -0.66,p < 0.001)。

结论

意大利COVID-19发病率比例的性别分布随时间的变化受到SARS-CoV-2拭子检测数量的强烈影响。是否COVID-19诊断获取方面的性别相关差异可以解释这一结果有待探索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b550/7578687/8c1bbfd4191f/gr1.jpg

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