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URI permanente desta comunidadehttps://repositorioacademico.universidadebrasil.edu.br/handle/123456789/30
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Resultados da Pesquisa
Item Tempo de permanência na Unidade de Terapia Intensiva e o uso de Redes Bayesianas como ferramenta de gestão(Universidade Brasil, 2020) Santos, Patrícia Couto Macedo dos; Baptista, Alessandra; Magalhães, Daniel Souza FerreiraThe lack of beds in intensive care units (ICU) is a public health problem. The length of stay in these units contributes to reducing bed turnover, which slows down the admission of other critical patients who end up receiving inadequate care, increasing hospital mortality rates. The general objective of this work is to statistically analyze the possible causal relationships using probabilistic inferences between factors related to the length of stay in an intensive care environment through the use of Bayesian Networks for management strategies and support to decision making. A retrospective study was carried out in the general ICU of Hospital Calixto Midlej Filho de Itabuna, with a qualitative and quantitative approach with 49 patients aged between 14 and 92 years. Data collection was performed through the patients' medical records via the hospital's audit department and / or Medical and Statistical File Service (SAME). The variables collected were: gender, age, APACHE II (English: Acute Physiology and Chronic Health Evaluation II), presence of mechanical ventilation, development of infection and length of stay in the unit. The collected data were inserted and tabulated in an Excel® spreadsheet. and used in the manufacture of Bayesian Networks (RB) using GeNIe 2.0 software. The results showed that gender, age, mechanical ventilation and APACHE II classification factors influence the length of stay in the ICU. Therefore, the use of Bayesian methods that, through probabilistic reasoning, have a good performance to work with causes and effects relationships, can be used as a tool to support management for decision making and optimization of the time spent in critical ICU patients.Item Uso da terapia por fotobiomodulação a laser no tratamento do paciente com covid-19 em unidade de terapia intensiva(Universidade Brasil, 2022) Neves Neto, Messias Augusto das; Tim, Carla Roberta; Garcia, Lívia AssisThe pandemic context ended up causing the exploration of new treatment methods in the face of the conditions presented by patients in this period. In this bias, photobiomodulation therapy has been characterized as a viable therapeutic aspect for the treatment of patients with COVID-19 in the Intensive Care Unit, since it has great potential for biological alteration. To demonstrate the feasibility of the treatment, a case report was carried out that aimed to evaluate the effects of photobiomodulation as an adjuvant treatment in a patient with COVID-19 admitted to an intensive care unit (ICU). A 68-year-old man with severe COVID-19 received 5 sessions of PBMT by laser, once daily. The treatment protocol consisted of the association of the application of local PBMT with 808 nm laser and the application of a transdermal laser in the radial artery with a 660 nm laser. The patient was evaluated before and after treatment through radiological evaluation, blood tests and oxygen requirement. Oxygen saturation (SpO2) increased from 92% in the support of oxygen with a mask without rebreathing 13 L/min to 95% in the delivery of O2 2 L/min in a nasal catheter, tolerating the withdrawal of oxygen therapy for 20 minutes. This case report showed that the use of photobiomodulation therapy in the adjuvant treatment of a patient with COVID-19 decreases oxygen needs over several days and without the need for a ventilator. Future controlled clinical trials are needed to assess the effects of PBMT on clinical outcomes in patients with acute lung injury (ALI) and acute respiratory distress syndrome (ARDS).