截至2020年5月20日,墨西哥瓜纳华托州COVID-19的临床数据、合并症和死亡率

Central Asian Journal of Global Health Pub Date : 2020-03-31 eCollection Date: 2020-01-01 DOI:10.5195/cajgh.2020.527
Nicolás Padilla-Raygoza, Efraín Navarro-Olivos, María de Jesús Gallardo-Luna, Francisco J Magos-Vázquez, Daniel Alberto Díaz-Martínez, Cuauhtémoc Sandoval-Salazar, Luis Antonio Díaz-Becerril
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引用次数: 3

摘要

导语:2019年12月,中国武汉出现不明原因肺炎病例。病原体随后被确定为2019-nCoV,后来被称为SARS-CoV-2。在墨西哥,自2020年1月报告第一例病例以来,感染已在全国蔓延。位于该国中部的瓜纳华托州于2020年3月采取了隔离措施,并关闭了公共场所。本研究的目的是分析COVID-19确诊病例的演变、症状、合并症和死亡人数。方法:利用瓜纳华托州新冠肺炎确诊病例数据库设计生态研究。计算确诊病例死亡的症状和合并症的优势比和95%置信区间。采用Logistic回归模型对年龄组和性别进行调整。结果:在该州838例确诊病例中,呼吸困难和发绀对死亡的影响更为显著。年龄和性别是影响因素。对于几乎所有的合并症(包括糖尿病、高血压、心血管疾病、慢性肾脏疾病和免疫抑制),对COVID-19的死亡率有显著影响(优势比大于2)。年龄组别对合并症和死亡有混淆影响,但性别没有。结论:确诊病例出现合并症的可能性是未死亡病例的两倍多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Clinical Data, Comorbidities, and Mortality of COVID-19 in the State of Guanajuato, Mexico until May 20, 2020.

Clinical Data, Comorbidities, and Mortality of COVID-19 in the State of Guanajuato, Mexico until May 20, 2020.

Clinical Data, Comorbidities, and Mortality of COVID-19 in the State of Guanajuato, Mexico until May 20, 2020.

Clinical Data, Comorbidities, and Mortality of COVID-19 in the State of Guanajuato, Mexico until May 20, 2020.

Introduction: In December 2019, cases of pneumonia of unknown cause arose in Wuhan, China. The causative agent was subsequently identified as 2019-nCoV and later called SARS-CoV-2. In Mexico, since January 2020 when the first cases were reported, the spread of the infection has occurred throughout the country. The state of Guanajuato, which is located in the center of the country, has taken isolation measures and closed public places in March 2020. The objective of this study was to analyze the evolution, symptoms, co-morbidities and deaths due to confirmed cases of COVID-19.

Methods: An ecological study was designed from the database of confirmed cases of COVID-19 in the state of Guanajuato. Odds ratios and 95% confidence intervals were calculated for symptoms and co-morbidities in deaths of confirmed cases. Logistic regression models were generated adjusting for age group and gender.

Results: Among the 838 confirmed cases in the state, cases with dyspnea and cyanosis showed more significant effect on death. Age group and gender had little involvement as confounders. For practically all comorbidities (including diabetes, hypertension, cardiovascular disease, chronic kidney disease, and immunosuppression), there was a significant effect (odds ratio greater than 2) on mortality from COVID-19. Age group showed a confounding effect on comorbidities and death, but not gender.

Conclusions: The confirmed cases had more than twice the possibility of having comorbidities, compared with those who did not die.

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Central Asian Journal of Global Health
Central Asian Journal of Global Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
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