4.5 Article

Evidence of Gender Differences in the Diagnosis and Management of Coronavirus Disease 2019 Patients: An Analysis of Electronic Health Records Using Natural Language Processing and Machine Learning

期刊

JOURNAL OF WOMENS HEALTH
卷 30, 期 3, 页码 393-404

出版社

MARY ANN LIEBERT, INC
DOI: 10.1089/jwh.2020.8721

关键词

artificial intelligence; sex differences; COVID-19; natural language processing; SARS-CoV-2

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  1. Savana

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The study found that female patients with COVID-19 were younger on average than male patients and there were more female cases in specific age ranges. Female patients were more likely to experience headache, anosmia, and ageusia at diagnosis, but received chest X-ray or blood tests less frequently. In terms of hospital resource use, female patients had lower rates of hospitalization and intensive care unit admission compared to male patients.
Background: The impact of sex and gender in the incidence and severity of coronavirus disease 2019 (COVID-19) remains controversial. Here, we aim to describe the characteristics of COVID-19 patients at disease onset, with special focus on the diagnosis and management of female patients with COVID-19. Methods: We explored the unstructured free text in the electronic health records (EHRs) within the SESCAM Healthcare Network (Castilla La-Mancha, Spain). The study sample comprised the entire population with available EHRs (1,446,452 patients) from January 1st to May 1st, 2020. We extracted patients' clinical information upon diagnosis, progression, and outcome for all COVID-19 cases. Results: A total of 4,780 patients with a confirmed diagnosis of COVID-19 were identified. Of these, 2,443 (51%) were female, who were on average 1.5 years younger than male patients (61.7 +/- 19.4 vs. 63.3 +/- 18.3, p = 0.0025). There were more female COVID-19 cases in the 15-59-year-old interval, with the greatest sex ratio (95% confidence interval) observed in the 30-39-year-old range (1.69; 1.35-2.11). Upon diagnosis, headache, anosmia, and ageusia were significantly more frequent in females than males. Imaging by chest X-ray or blood tests were performed less frequently in females (65.5% vs. 78.3% and 49.5% vs. 63.7%, respectively), all p < 0.001. Regarding hospital resource use, females showed less frequency of hospitalization (44.3% vs. 62.0%) and intensive care unit admission (2.8% vs. 6.3%) than males, all p < 0.001. Conclusion: Our results indicate important sex-dependent differences in the diagnosis, clinical manifestation, and treatment of patients with COVID-19. These results warrant further research to identify and close the gender gap in the ongoing pandemic.

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