Histological and biological assessment of vitrified ovarian follicles from large animals

[摘要] Background: Corona Virus Deases 2019 (COVID-19) is an infectious disease caused by the corona virus. COVID-19 is currently a challenge for diabetes patients. Diabetes mellit­us predisposes to a very severe disease course and increases the risk of death from COVID-19. This study aims to estimate the average mag­ni­tude of the effect of diabetes mellitus comor­bi­dity on the risk of death of COVID-19 patients. Subjects and Method: This was a systematic review and meta-analysis. This research was conducted using secondary data that will be conducted by searching and selecting data from the results of clinical trials conducted around the world. Search for articles through syste­matic and comprehensive databases from Pub­med, Google Scholar, Springer Link. The ana­lysis in this study was carried out using the Review Manager 5.3 software. The results of the analysis are the effect size, heterogeneity and then the study model. Variations between studies are used to determine the analysis model which is divided into two models, namely the fixed effect model (FEM) and the random effect model (REM). Results: Based on the results of the analysis, there was high heterogeneity between experi­ments (I 2 = 85%; p= 0.04), so that the Random Effects Model (REM) was used. COVID-19 patients with comorbid diabetes mellitus were 2.17 times more likely to die than patients without comorbid diabetes mellitus (aOR 2.17; 95% CI 1.04 to 4.54). Conclusion: Diabetes mellitus co-morbidity increases 2.17 times the risk of death in COVID-19 patients compared to patients without dia­betes mellitus comorbidity.

[学科分类] 工业工程学

[关键词] Bovine Ovarian follicle Porcine SCID mouse Vitrification