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1.
Braz. J. Anesth. (Impr.) ; 72(6): 729-735, Nov.-Dec. 2022. tab, graf
Article in English | LILACS | ID: biblio-1420609

ABSTRACT

Abstract Background Pancreaticoduodenectomy is associated with high morbidity. Many preoperative variables are risk factors for postoperative complications, but they are primarily non-modifiable. It is not clear whether an intraoperative goal-directed fluid regimen might be associated with fewer postoperative surgical complications compared to current conservative, non-goal-directed fluid practices. We hypothesize that the use of Systolic Volume Variation (SVV)-guided intraoperative fluid administration might be beneficial. Methods Data from 223 patients who underwent pancreaticoduodenectomy in our institution between 2015 and 2019 were reviewed. Patients were classified into two groups based on the use of intraoperative use of SVV to guide the administration of fluids. The decision to use SVV or not was made by the attending anesthesiologist. Subjects were classified into SVV-guided intraoperative fluid therapy (SVV group) and non-SVV-guided intraoperative fluid therapy (non-SVV group). Uni and multivariate regression analyses were conducted to determine if SVV-guided fluid therapy was significantly associated with a lower incidence of postoperative surgical complications, such as Postoperative Pancreatic Fistula (POPF), Delayed Gastric Emptying (DGE), among others, after adjusting for confounders. Results Baseline, demographic, and intraoperative characteristics were similar between SVV and non-SVV groups. In the multivariate analysis, the use of SVV guidance was significantly associated with fewer postoperative surgical complications (OR = 0.48; 95% CI 0.25-0.91; p= 0.025), even after adjusting for significant covariates, such as perioperative use of epidural, pancreatic gland parenchyma texture, and diameter of the pancreatic duct. Conclusions VV-guided intraoperative fluid administration might be associated with fewer postoperative surgical complications after pancreaticoduodenectomy.


Subject(s)
Humans , Pancreaticoduodenectomy , Fluid Therapy , Postoperative Complications/etiology , Postoperative Complications/prevention & control , Postoperative Complications/epidemiology , Retrospective Studies , Risk Factors , Treatment Outcome
2.
Rev. bras. ter. intensiva ; 32(1): 72-80, jan.-mar. 2020. tab, graf
Article in English, Portuguese | LILACS | ID: biblio-1138457

ABSTRACT

RESUMO Objetivo: Analisar a distribuição das unidades de terapia intensiva para adultos, segundo a região geográfica e o setor sanitário no Rio de Janeiro, e investigar a mortalidade por infecção respiratória aguda grave no setor público e sua associação com a capacidade de terapia intensiva no setor público. Métodos: Avaliamos a variação da disponibilidade de terapia intensiva e a mortalidade por infecção respiratória aguda grave no setor público em diferentes áreas da cidade em 2014. Utilizamos as bases de dados do Cadastro Nacional de Estabelecimentos de Saúde, do Instituto Brasileiro de Geografia e Estatística, do Sistema de Informações sobre Mortalidade e do Sistema de Informações Hospitalares do SUS. Resultados: Foi ampla a variação na disponibilidade de leitos em unidades de terapia intensiva per capita (desde 4,0 leitos de terapia intensiva por 100 mil habitantes em hospitais públicos na zona oeste até 133,6 leitos em unidades de terapia intensiva por 100 mil habitantes nos hospitais privados na zona central) na cidade do Rio de Janeiro. O setor privado respondeu pelo suprimento de quase 75% dos leitos em unidades de terapia intensiva. Uma análise espacial com base em mapas mostrou falta de leitos em unidades de terapia intensiva em vastas extensões territoriais nas regiões menos desenvolvidas da cidade. Houve correlação inversa (r = -0,829; IC95% -0,946 - -0,675) entre a quantidade de leitos públicos em unidade de terapia intensiva per capita em diferentes áreas de planejamento em saúde na cidade e a mortalidade por infecção respiratória aguda grave em hospitais públicos. Conclusão: Nossos resultados mostram disponibilidade desproporcional de leitos em unidades de terapia intensiva na cidade do Rio de Janeiro e a necessidade de uma distribuição racional da terapia intensiva.


ABSTRACT Objective: To analyze the distribution of adult intensive care units according to geographic region and health sector in Rio de Janeiro and to investigate severe acute respiratory infection mortality in the public sector and its association with critical care capacity in the public sector. Methods: We evaluated the variation in intensive care availability and severe acute respiratory infection mortality in the public sector across different areas of the city in 2014. We utilized databases from the National Registry of Health Establishments, the Brazilian Institute of Geography and Statistics, the National Mortality Information System and the Hospital Admission Information System. Results: There is a wide range of intensive care unit beds per capita (from 4.0 intensive care unit beds per 100,000 people in public hospitals in the West Zone to 133.6 intensive care unit beds per 100,000 people in private hospitals in the Center Zone) in the city of Rio de Janeiro. The private sector accounts for almost 75% of the intensive care unit bed supply. The more developed areas of the city concentrate most of the intensive care unit services. Map-based spatial analysis shows a lack of intensive care unit beds in vast territorial extensions in the less developed regions of the city. There is an inverse correlation (r = -0.829; 95%CI -0.946 to -0.675) between public intensive care unit beds per capita in different health planning areas of the city and severe acute respiratory infection mortality in public hospitals. Conclusion: Our results show a disproportionate intensive care unit bed provision across the city of Rio de Janeiro and the need for a rational distribution of intensive care.


Subject(s)
Humans , Adult , Respiratory Tract Infections/therapy , Critical Care/statistics & numerical data , Healthcare Disparities/statistics & numerical data , Intensive Care Units/statistics & numerical data , Severity of Illness Index , Brazil , Urban Health , Delivery of Health Care/organization & administration , Spatial Analysis
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