Uso de Propensity Score Matching em pesquisa com pacientes com diabetes Mellitus tipo 2: avaliação do uso de inibidor no tempo de internação

Abstract

Diabetes is a disease that affects one in ten people, whether children, adults or the elderly. It may be related to genetic factors or unhealthy habits. The scientific community has been studying treatments for diabetes for many years. A line of study has stood out in helping treatment, using drugs that reduce the level of glucose in the blood, helping the kidney to despise the excess glucose and sodium that filters from the blood. This group of drugs are called sodium-glucose co-transporter inhibitors (iSGLT2). This work emerged with the objective of assisting in clinical research to validate whether the use of inhibitors in the treatment of type 2 diabetes mellitus (DM2) helps to reduce the length of hospital stay and the cost of the patient’s hospital bill. Data were provided by a referral hospital in the treatment of patients with DM2. In the course of the work, observational data on the average length of stay, cost of the account, as well as the profile of patients will be presented. The Propensity Score Matching method was used to match the samples, where the initial data will be compared with the paired data. The results show that after applying the data pairing method, the scenario changed. With the initial analysis, it was possible to conclude that the inhibitor had a positive impact on the length of hospital stay, with the new scenario, this was not maintained, showing the relevance that the method had for this conclusion.