Abstract:
It is intended with this article, to collaborate with the clinician of the Guatemalan Social Security Institute (IGSS), for the study of their cases in chronic diseases such as diabetes, hypertension and cardiovascular diseases, kidney problems, etc. but mainly in this Covid-19 emergency where the treatments carried out are evaluated according to mortality. Survival analysis is also used in Actuarial, so this technique could be applied to large data handled by the IGSS, in relation to the survival trends of its members. In the present investigation, the selected groups were two, one aged 20-30 years (n = 1903) and the second aged 50-60 years (n = 1244). Each group was ordered by days of hospital stay and the frequency of survivors and deaths in each category was compared. In the group of elderly people, the shortest hospital stay was less than 24 hours and the longest was 94 days, the losses observed were 210. Of the 1903 patients in the range between 20 and 30 years, 14 died, the shortest hospital stay was less 24 hours and the longest was 119 days. The non-parametric treatment of the data for the losses reported in the group of older people is 19.51, while in those under 11.48. The survival of each patient was obtained. Survival curves (not shown) and log-rank analyzes (Table 1) were performed. The data from both groups were then treated with the Chi-square test to evaluate the null hypothesis of belonging to a single group or accept the alternative hypothesis that significantly demonstrated the difference between one group and another. The groups generated, in turn, allowed a risk estimate (OR) to be made. Patients aged between 20 and 30 years survive 8.83 times longer than patients aged between 50 and 60 years.
