FELIPE YU MATSUSHITA
Projetos de Pesquisa
Unidades Organizacionais
Instituto da Criança, Hospital das Clínicas, Faculdade de Medicina - Médico
Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina - Médico
LIM/36 - Laboratório de Pediatria Clínica, Hospital das Clínicas, Faculdade de Medicina
Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina - Médico
LIM/36 - Laboratório de Pediatria Clínica, Hospital das Clínicas, Faculdade de Medicina
4 resultados
Resultados de Busca
Agora exibindo 1 - 4 de 4
- Identifying clinical phenotypes in extremely low birth weight infants-an unsupervised machine learning approach(2022) MATSUSHITA, Felipe Yu; KREBS, Vera Lucia Jornada; CARVALHO, Werther Brunow deThere is increasing evidence that patient heterogeneity significantly hinders advancement in clinical trials and individualized care. This study aimed to identify distinct phenotypes in extremely low birth weight infants. We performed an agglomerative hierarchical clustering on principal components. Cluster validation was performed by cluster stability assessment with bootstrapping method. A total of 215 newborns (median gestational age 27 (26-29) weeks) were included in the final analysis. Six clusters with different clinical and laboratory characteristics were identified: the ""Mature"" (Cluster 1; n= 60, 27.9%), the mechanically ventilated with ""adequate ventilation"" (Cluster 2; n=40, 18.6%), the mechanically ventilated with ""poor ventilation"" (Cluster 3; n=39, 18.1%), the ""extremely immature"" (Cluster 4; n= 39, 18.1%%), the neonates requiring ""Intensive Resuscitation"" in the delivery room (Cluster 5; n=20, 9.3%), and the ""Early septic"" group (Cluster 6; n= 17, 7.9%). In-hospital mortality rates were 11.7%, 25%, 56.4%, 61.5%, 45%, and 52.9%, while severe intraventricular hemorrhage rates were 1.7%, 5.3%, 29.7%, 47.2%, 44.4%, and 28.6% in clusters 1, 2, 3, 4, 5, and 6, respectively (p<0.001). Conclusion: Our cluster analysis in extremely preterm infants was able to characterize six distinct phenotypes. Future research should explore how better phenotypic characterization of neonates might improve care and prognosis.
- Artificial intelligence and machine learning in pediatrics and neonatology healthcare(2022) MATSUSHITA, Felipe Yu; KREBS, Vera Lucia Jornada; CARVALHO, Werther Brunow de
- Association between fluid overload and mortality in newborns: a systematic review and meta-analysis(2022) MATSUSHITA, Felipe Yu; KREBS, Vera Lucia Jornada; CARVALHO, Werther Brunow deFluid overload (FO) is associated with higher rates of mortality and morbidity in pediatric and adult populations. The aim of this systematic review and meta-analysis was to investigate the association between FO and mortality in critically ill neonates. Systematic search of Ovid MEDLINE, EMBASE, Cochrane Library, trial registries, and gray literature from inception to January 2021. We included all studies that examined neonates admitted to neonatal intensive care units and described FO and outcomes of interest. We identified 17 observational studies with a total of 4772 critically ill neonates who met the inclusion criteria. FO was associated with higher mortality (OR, 4.95 [95% CI, 2.26-10.87]), and survivors had a lower percentage of FO compared with nonsurvivors (WMD, - 4.33 [95% CI, - 8.34 to - 0.32]). Neonates who did not develop acute kidney injury (AKI) had lower FO compared with AKI patients (WMD, - 2.29 [95% CI, - 4.47 to - 0.10]). Neonates who did not require mechanical ventilation on postnatal day 7 had lower fluid balance (WMD, - 1.54 [95% CI, - 2.21 to - 0.88]). FO is associated with higher mortality, AKI, and need for mechanical ventilation in critically ill neonates in the intensive care unit. Strict control of fluid balance to prevent FO is essential.
- Gastroschisis and late-onset neonatal sepsis in a tertiary referral center in Southeastern Brazil(2022) BIGIO, Juliana Zoboli Del; TANNURI, Ana Cristina Aoun; FALCAO, Mario Cicero; CARVALHO, Werther Brunow de; MATSUSHITA, Felipe YuObjectives: To analyze late-onset sepsis and to describe the etiological agents in newborns with gastroschisis. Methods: A retrospective cohort, including newborns with gastroschisis whose admissions occurred in the period between January 2012 to December 2018 in a tertiary referral center. Maternal and newborn characteristics, surgical procedures and evolution in hospitalization were verified. A bivariate analysis was performed with patients with proven late-onset neonatal sepsis and according to the simple or complex gastroschisis category, the prevalent microorganisms in positive cultures were identified, statistical tests were carried out and the significance level adopted was p < 0,05. Results are presented in proportions, averages and standard deviation or medians. The level of significance adopted was p < 0.05. Results: 101 newborns were analyzed, 45 (44.5%) were confirmed late-onset sepsis. The median birth weight was 2285+498 grams, and the gestational age was 35.9 +1.74weeks. The incidence of complex gastroschisis was 17.8%, the hospitalization time was 48.2+29.67 days and mortality was 9.9%. The newborns were divided into 2 groups: Group 1: late-onset sepsis (44.6%), and Group 2: no late-onset sepsis. The presence of complex gastroschisis was a factor associated with infection (p < 0.009). Fasting time (p < 0.001), parenteral nutrition time (p < 0.001), time to achieve full diet (p < 0.001), and hospitalization stay (p < 0.001) were higher in group 2. Gram-positive were the most frequent (51.1%), followed by Gram-negative (20%), and fungi (4.4%). Conclusions: Newborns with gastroschisis have a higher risk of evolving with late-onset sepsis, despite this study did not calculate the risk of sepsis statistically, and the main germs detected by cultures were gram-positive bacteria, specifically Staphylococcus epidermidis. (C) 2021 Sociedade Brasileira de Pediatria.