Impacto na epidemiologia da sepse tardia após a mudança do protocolo de antimicrobianos em uma UTIN de um serviço universitário

Advances in neonatology resulted in reducing the mortality rate and the consequent increase in survival of newborn pre terms (PTN). On the other hand, there was also a considerable increase in the risk of developing health care-related infection (HAI) in its most invasive, especially for bloodstream. This situation is worrying, and prevent the occurrence of it is a challenge and becomes one of the priorities in the Neonatal Intensive Care Unit (NICU). Sepsis is the main cause of death in critical neonates and affects more than one million newborns each year, representing 40% of all deaths in neonates. The incidence of late sepsis can reach 50% in NICUs. Currently the major responsible for the occurrence of sepsis in developed countries is the coagulase negative Staphylococcus (CoNS), followed by S. aureus. The cases of HAIs caused by resistant isolates for major classes of antimicrobial agents have been increasingly frequent in the NICU. Therefore, vancomycin has to be prescribed more frequently, and, today, the first option in the treatment of bloodstream infections by resistant Staphylococcus. The objectives of this study were to assess the impact on late sepsis in epidemiology III NICU after the change of the use of antimicrobials protocol; check the frequency of multiresistant microorganisms; assess the number of neonates who came to death. This study was conducted in NICU Level III HC-UFU. three study groups were formed based on the use of the proposed late sepsis treatment protocol, with 216 belonging to the period A, 207 B and 209 to the C. The work was divided into three stages: Period A: data collected from neonates admitted to the unit between September 2010 to August 2011. was using treatment of late sepsis: with oxacillin and gentamicin, oxacillin and amikacin, oxacillin and cefotaxime. Period B: data were collected from March 2012 to February 2013. Data collection was started six months after protocol change. Due to the higher prevalence of CoNS, the initial protocol was changed to vancomycin and cefotaxime. Period C: data were collected from newborns inteerne in the unit from September 2013 to August 2014. Data collection was started six months after the protocol change, which occurred in March 2013. From the 632 neonates included in this study, 511 (80,8%) came from the gynecology and obstetrics department of the HC-UFU. The mean gestational age was 33 weeks and the prevailing sex was male (55,7%). Seventy-nine percent of the studied neonates were hospitalized at the NICU HC-UFU III because of complications related to the respiratory system. Suspicion of sepsis took to hospitalization in the unit of 1,9% of newborns. In general, the infection rate was 34,5%, and the most frequent infectious sepsis syndrome 81,2%. There was a tendency to reduce the number of neonates who died between periods A 11 and C (p = 0,053). From the 176 cases of late sepsis, 73 were clinical sepsis and 103 had laboratory confirmation, with greater representation of Gram positive bacteria, which corresponded to 67.2% of the isolates and CoNS the most frequent micro-organism (91,5%). There was a statistically significant difference in the reduction of isolation of Gram positive microorganisms between periods A and C (p = 0,0365) as well as in reducing multidrug-resistant CoNS (A and B period p = 0,0462 and A and C period, p = 0,158). This study concluded that: the CoNS was the main microorganism responsible for the occurrence of late sepsis in neonates in the NICU of HC-UFU; the main risk factors for the occurrence of late sepsis were: birth weight <1500 g, use of PICC and CUV, need for mechanical ventilation and parenteral nutrition, SNAPPE> 24 and length of stay more than seven days; the new empirical treatment protocol late sepsis, based on the use of vancomycin associated cefepime, it was effective, since promoted a reduction in insulation CoNS blood cultures between the pre and post implementation of the Protocol (A and C, respectively); just as there was a reduction in the number of newborns who evolved to death between periods A and C.

Classificação de nódulos pulmonares em imagens tomográficas utilizando redes neurais artificiais em cascata

Lung cancer is the most common of malignant tumors, with 1.59 million new cases worldwide in 2012. Early detection is the main factor to determine the survival of patients affected by this disease. Furthermore, the correct classification is important to define the most appropriate therapeutic approach as well as suggest the prognosis and the clinical disease evolution. Among the exams used to detect lung cancer, computed tomography have been the most indicated. However, CT images are naturally complex and even experts medical are subject to fault detection or classification. In order to assist the detection of malignant tumors, computer-aided diagnosis systems have been developed to aid reduce the amount of false positives biopsies. In this work it was developed an automatic classification system of pulmonary nodules on CT images by using Artificial Neural Networks. Morphological, texture and intensity attributes were extracted from lung nodules cut tomographic images using elliptical regions of interest that they were subsequently segmented by Otsu method. These features were selected through statistical tests that compare populations (T test of Student and U test of Mann-Whitney); from which it originated a ranking. The features after selected, were inserted in Artificial Neural Networks (backpropagation) to compose two types of classification; one to classify nodules in malignant and benign (network 1); and another to classify two types of malignancies (network 2); featuring a cascade classifier. The best networks were associated and its performance was measured by the area under the ROC curve, where the network 1 and network 2 achieved performance equal to 0.901 and 0.892 respectively.