RESUMO
BACKGROUND: Cancer antigen (CA) 125 (CA-125) is used in ovarian cancer detection and monitoring, whose serum level has a positive correlation with tumor stage. The aim of this study was to obtain a prediction metastasis equation in a group of patients with ovarian cancer based on Ca-125. METHODS: A 2-group comparative observational study was conducted at a single oncologic institution (SOLCA) in Cuenca-Ecuador. All patients who were diagnosed with ovarian cancer between January 1996 and December 2016 were included in the current study. Group 1 (G1) patients with the I and II International Federation of Gynecology and Obstetrics (FIGO) stage and Metastasis Group (MG), with III and IV stage, were subdivided. A logistic regression equation was performed to predict metastasis based on Logarithm of serum Ca-125 levels. RESULTS: We included 85 cases in G1 and 64 patients in MG, with 47.8 ± 15 years (G1) and 57.5 ± 13.6 years (MG) of age (P < 0.001). Mortality in G1 was 2 cases (3.1%) and 53 cases (62.4%) in MG (P < 0.001). The CA-125 serum level was 163.5 ± 236 in G1 and 1220.9 ± 1940 u / ml in MG (P < 0.001). The equation to predict metastasis = (Age*0.053) + [(Logarithm Ca-125 value) * 1.078] - 8.163 with an OR 2.940 (CI 95% 2.046-4.223) P < 0.001. The sensitivity of the equation was 82.4% and the specificity was 79.7%. CONCLUSIONS: It is possible to predict the presence of metastasis in a group of patients with ovarian cancer based on Ca-125.
Assuntos
Biomarcadores Tumorais/sangue , Antígeno Ca-125/sangue , Proteínas de Membrana/sangue , Modelos Biológicos , Neoplasias Ovarianas/patologia , Adulto , Idoso , Feminino , Humanos , Pessoa de Meia-Idade , Estadiamento de Neoplasias , Neoplasias Ovarianas/sangue , Valor Preditivo dos Testes , Sensibilidade e EspecificidadeRESUMO
Intensive care represents the critical care setting of a hospital, where fundamental, precise, and fast decisions have to be made. These decisions will affect the outcome of the patients in a matter of few hours. The knowledge of the therapeutic interventions applied in this setting is evolving, thus the perspective of Big Data may provide a new paradigm in the ICU. The conformation of a multidisciplinary team is essential to develop Big Data in the ICU.
Assuntos
Cuidados Críticos , Unidades de Terapia Intensiva , Estatística como Assunto , Argentina , Hospitais , HumanosRESUMO
The Big Data paradigm can be applied in intensive care unit, in order to improve the treatment of the patients, with the aim of customized decisions. This poster is about the infrastructure necessary to built a Big Data system for the ICU. Together with the infrastructure, the conformation of a multidisciplinary team is essential to develop Big Data to use in critical care medicine.
