Back

Exploring Disparities and Novel Insights into Metabo-Nutritional Comorbidities among COVID-19 Patients in Mexico

Lopez-Cuevas, A.; Martinez-Garcia, M.; Hernandez-Lemus, E.; de Anda-Jauregui, G.

2023-08-04 public and global health
10.1101/2023.07.31.23293471 medRxiv
Show abstract

During the previous years, particularly at the beginning of the COVID-19 pandemic, the potential role of metabo-nutritional comorbidities in the severity and lethality of SARS-CoV2 infection has been widely discussed, often describing ambiguous outcomes. Here we investigate the prevalence of metabo-nutritional comorbidities among COVID-19 patients in Mexico. Using a retrospective observational study design, data was collected from official databases of COVID-19 patients admitted to public and private hospitals in Mexico City. Our study found a discordant prevalence of metabo-nutritional comorbidities among COVID-19 patients, particularly obesity, hypertension, and diabetes. Discordance consists in geographic location-dependent over and under-representation phenomena, that is the prevalence of such comorbidities in COVID-19 patients was significantly over or under the reported value for the general population in each location. These findings highlight the importance of screening for metabo-nutritional comorbidities in COVID-19 patients and suggest the need for tailored interventions for this population. The study also provides insights into the complex relationships between COVID-19 and metabo-nutritional comorbidities, which may inform future research and clinical practice.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.