Evaluation of the reproducibility of retinal nerve fiber layer thickness and optic nerve head parameters with optical coherence tomography

OBJETIVO: Determinar a reprodutibilidade da espessura da camada de fibras nervosas da retina peripapilar e dos parâmetros da cabeça do nervo óptico em olhos normais, utilizando a tomografia de coerência óptica de domínio espectral (SD-OCT). MÉTODOS: Trinta e quatro olhos de 34 indivíduos saudáveis foram incluídos no estudo. O protocolo do cubo do disco óptico 200x200 do OCT Cirrus foi utilizado para gerar 3 imagens de cada olho para avaliar a reprodutibilidade. O coeficiente de correlação intraclasse (ICC) foi calculado para as medidas da espessura da camada de fibras nervosas da retina e da cabeça do nervo óptico. RESULTADOS: A correlação foi excelente para todas as medidas da espessura da camada de fibras nervosas da retina (ICC entre 0,87 e 0,98). O mesmo ocorreu com os parâmetros da cabeça do nervo óptico que, com exceção da razão E/D vertical (ICC 0,56), apresentou ICC entre 0,83 e 0,99. CONCLUSÃO: As medidas de espessura da camada de fibras nervosas da retina peripapilar e os parâmetros da cabeça no nervo óptico demonstraram uma excelente reprodutibilidade com o OCT Cirrus, indicando que este aparelho poderá ser uma ferramenta útil no estudo do glaucoma. Este estudo apresenta algumas limitações, como o pequeno número de casos avaliados, sendo necessários maiores estudos para corroborar nossos achados

Logistic regression analysis in the combination of diagnostic methods in glaucoma

PURPOSES: In this research was studied the diagnostic ability of the Heidelberg Retinal Tomograph (HRT II), GDx nerve fiber analyzer (GDx), Short-wavelenght Automated Perimetry (SWAP) and Frequency-doubling technology (FDT), all of them together and also separately in the diagnosis of glaucoma. METHODS: Sixty glaucomatous patients and 60 normal ones were submitted to examination with the technology of HRT II, GDx, FDT and SWAP. In the interpretation of HRT, based on the Moorfields regression analysis, were considered abnormal when at least one area of the neuroretinal ring was outside the bounds of normality. GDx was defined as altered, when it was observed that at least one index was considered by equipment program as outside of normal limits, excluding the index symmetry, or when the deviation from normal graph appeared a quadrant with significance below 5%. The FDT was considered abnormal when at least one region tested presented with severe defects, or two contiguous moderate defects in at least two reliable tests. For SWAP was adopted the abnormality criteria proposed by Anderson. Logistic regression analysis was performed. RESULTS: When the technologies were studied separately, the Logistic regression analysis showed better odds ratio rates to test positive for glaucoma with HRT (22.49), followed by EAP (21.71), FDT (3.97) and GDx (2.73). When positive tests were associated with different technologies, the odds ratios increased. In cases with HRT, FDT and PAA tests, outside normal bounds, the odds ratio was 252.6. Concerning the HRT, GDx and PAA the result have changed to 173.1. When we associate positive tests from different technologies, the odds ratio of glaucomatous patients have increased considerably, reaching 689.7 with all the tests outside normal bounds, which have happened with 26 patients of this study. CONCLUSIONS: The Logistic Regression analysis confirmed that the abnormal tests of HRT and PAA have shown to be the highest reasons for glaucoma occurrence. The association of abnormal tests increased the odds ratio, especially when the HRT and PAA were out of normal bounds.OBJETIVOS: Estudar a habilidade diagnóstica do tomógrafo retiniano de Heidelberg (HRT II), GDx analisador de fibras nervosas (GDx), perimetria azul-amarelo (SWAP), tecnologia de frequência duplicada (FDT) isoladamente e em conjunto no diagnóstico do glaucoma. MÉTODOS: Sessenta glaucomatosos e 60 pacientes normais foram submetidos a exames de HRT II, GDx, SWAP e FDT. HRT foi considerado alterado quando pelo menos uma região do anel neurorretiniano esteve fora dos limites da normalidade, conforme a análise de regressão de Moorfields. GDx alterado foi definido quando pelo menos um índice foi considerado pelo programa do equipamento como fora dos limites normais, excluindo-se o índice simetria, ou ainda quando no gráfico the deviation from normal graph apareceu um quadrante com significância abaixo de 5%. O FDT foi considerado anormal quando pelo menos uma região testada apresentou-se com defeito severo ou com a presença de dois defeitos moderados contíguos. Para o SWAP foram adotados os critérios de anormalidade propostos por Anderson. Análise de regressão logística foi realizada. RESULTADOS: Quando foram estudadas as tecnologias isoladamente, a análise de regressão logística apresentou melhores índices de razão das chances para glaucoma com exames positivos para o HRT (22,49), seguido pelo SWAP (21,71). FDT (3,97) e GDx (2,73). Quando se associaram exames positivos de diferentes tecnologias, as razões das chances aumentaram. Nos casos com exames de HRT, FDT e SWAP fora dos limites normais, a razão das chances foi de 252,6 e com HRT, SWAP e GDx alterados, 173,1. Quando associamos exames positivos de diferentes tecnologias, a razão das chances dos pacientes serem glaucomatosos aumentou consideravelmente, chegando a 689,7 com todos os exames fora dos limites normais, o que ocorreu em 26 pacientes deste estudo. CONCLUSÕES: A análise de regressão logística confirmou que a presença de exames alterados de HRT ou SWAP apresentam as maiores razões das chances de glaucoma. A associação de exames alterados aumentou a razão das chances, principalmente, quando o HRT e o SWAP estavam fora dos limites normais.Universidade Federal de São Paulo (UNIFESP) Escola Paulista de Medicina Departamento de OftalmologiaUniversidade Federal de São Paulo (UNIFESP)Universidade Federal do Triângulo MineiroUNIFESP, EPM, Depto. de OftalmologiaUNIFESPSciEL

Resultados clínicos na facoemulsificação utilizando a fórmula SRK/T

PURPOSE: To evaluate the prediction of refraction using the SRK/T formula for intraocular lens (IOL) calculation in eyes with medium axial length after phacoemulsification. METHODS: This prospective study enrolled 33 eyes with nuclear cataract that underwent phacoemulsification. All procedures were performed by one surgeon with the intraocular lens placed within the capsular bag. The same technician who was unaware of the purpose of the study made all the measurements. The achieved refractive error one month after surgery was compared to the predicted postoperative refractive error by the SRK/T formula. RESULTS: The ocular axial length varied between 22.2 mm and 24.5 mm. The mean predicted refraction was -0.431 ± 0.181 D and the mean achieved postoperative spherical equivalent was -0.220 ± 0.732 D. Eighteen eyes (55%) had a refractive error between ± 0.50 D and thirty eyes (91%) between ± 1.00 D of the predicted refraction. There was a tendency toward hyperopic shift (mean ± SD: 0.211 ± 0.708 D, p=0.009). CONCLUSION: The SRK/T formula demonstrated a satisfactory accuracy to calculate the error of refraction in eyes with medium axial length.OBJETIVO: Avaliar resultados refracionais utilizando a fórmula SRK/T no cálculo de lentes intraoculares (LIO) em olhos com comprimento axial médio após facoemulsificação. MÉTODOS: Este estudo prospectivo envolveu 33 olhos com catarata nuclear que foram submetidos a facoemulsificação. Todas as cirurgias foram realizadas pelo mesmo cirurgião com lentes intraoculares no saco capsular. O mesmo tecnólogo, o qual não sabia o objetivo do estudo, realizou todas as medidas biométricas. O erro refracional atingido um mês após a cirurgia foi comparado ao erro refracional pós-operatório previsto pela fórmula SRK/T. RESULTADOS: O comprimento axial variou entre 22,2 mm e 24,5 mm. A refração média prevista foi -0,431 ± 0,181 dioptrias (D) e o equivalente esférico pós-operatório alcançado foi -0,220 ± 0,732 D. Dezoito olhos (55%) obtiveram erro refracional de ± 0,50 D e 30 olhos (91%) entre ± 1,00 D da refração prevista. Houve tendência a um erro hipermetrópico (média±SD: 0,211 ± 0,708 D, p=0,009). CONCLUSÃO: A fórmula SRK/T demonstrou acurácia satisfatória no cálculo do erro refracional em olhos de comprimento axial médio.Universidade Federal de São Paulo (UNIFESP) Department of OphthalmologyUniversidade Federal de São Paulo (UNIFESP) Department of OphthalmologyUNIFESP, Department of OphthalmologyUNIFESP, Department of OphthalmologySciEL

Health-related quality of life in patients with type 1 diabetes mellitus in the different geographical regions of Brazil : data from the Brazilian Type 1 Diabetes Study Group

Background: In type 1 diabetes mellitus (T1DM) management, enhancing health-related quality of life (HRQoL) is as important as good metabolic control and prevention of secondary complications. This study aims to evaluate possible regional differences in HRQoL, demographic features and clinical characteristics of patients with T1DM in Brazil, a country of continental proportions, as well as investigate which variables could influence the HRQoL of these individuals and contribute to these regional disparities. Methods: This was a retrospective, cross-sectional, multicenter study performed by the Brazilian Type 1 Diabetes Study Group (BrazDiab1SG), by analyzing EuroQol scores from 3005 participants with T1DM, in 28 public clinics, among all geographical regions of Brazil. Data on demography, economic status, chronic complications, glycemic control and lipid profile were also collected. Results: We have found that the North-Northeast region presents a higher index in the assessment of the overall health status (EQ-VAS) compared to the Southeast (74.6 ± 30 and 70.4 ± 19, respectively; p < 0.05). In addition, North- Northeast presented a lower frequency of self-reported anxiety-depression compared to all regions of the country (North-Northeast: 1.53 ± 0.6; Southeast: 1.65 ± 0.7; South: 1.72 ± 0.7; Midwest: 1.67 ± 0.7; p < 0.05). These findings could not be entirely explained by the HbA1c levels or the other variables examined. Conclusions: Our study points to the existence of additional factors not yet evaluated that could be determinant in the HRQoL of people with T1DM and contribute to these regional disparities

Determinants of intensive insulin therapeutic regimens in patients with type 1 diabetes: data from a nationwide multicenter survey in Brazil

Background: To evaluate the determinants of intensive insulin regimens (ITs) in patients with type 1 diabetes (T1D).Methods: This multicenter study was conducted between December 2008 and December 2010 in 28 public clinics in 20 Brazilian cities. Data were obtained from 3,591 patients (56.0% female, 57.1% Caucasian). Insulin regimens were classified as follows: group 1, conventional therapy (CT) (intermediate human insulin, one to two injections daily); group 2 (three or more insulin injections of intermediate plus regular human insulin); group 3 (three or more insulin injections of intermediate human insulin plus short-acting insulin analogues); group 4, basal-bolus (one or two insulin injections of long-acting plus short-acting insulin analogues or regular insulin); and group 5, basal-bolus with continuous subcutaneous insulin infusion (CSII). Groups 2 to 5 were considered IT groups.Results: We obtained complete data from 2,961 patients. Combined intermediate plus regular human insulin was the most used therapeutic regimen. CSII was used by 37 (1.2%) patients and IT by 2,669 (90.2%) patients. More patients on IT performed self-monitoring of blood glucose and were treated at the tertiary care level compared to CT patients (p < 0.001). the majority of patients from all groups had HbA1c levels above the target. Overweight or obesity was not associated with insulin regimen. Logistic regression analysis showed that economic status, age, ethnicity, and level of care were associated with IT (p < 0.001).Conclusions: Given the prevalence of intensive treatment for T1D in Brazil, more effective therapeutic strategies are needed for long term-health benefits.Farmanguinhos/Fundacao Oswaldo Cruz/National Health MinistryBrazilian Diabetes SocietyFundacao do Amparo a Pesquisa do Estado do Rio de JaneiroConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Univ Estado Rio de Janeiro, Unit Diabet, BR-20551030 Rio de Janeiro, BrazilBaurus Diabet Assoc, São Paulo, BrazilFed Univ São Paulo State, Diabet Unit, São Paulo, BrazilFed Univ Hosp Porto Alegre, Porto Alegre, BrazilUniv Hosp São Paulo, Diabet Unit, São Paulo, BrazilUniv Fed Rio de Janeiro, Rio de Janeiro, BrazilUniv Fed Ceara, Fortaleza, Ceara, BrazilSanta Casa Misericordia, Belo Horizonte, MG, BrazilSanta Casa Misericordia São Paulo, São Paulo, BrazilUniv Fed Amazonas, Manaus, Amazonas, BrazilHosp Geral de Bonsucesso, Rio de Janeiro, BrazilHosp Univ Clementino Fraga Filho IPPMG, Rio de Janeiro, BrazilUniv Hosp São Paulo, São Paulo, BrazilFac Ciencias Med Santa Casa São Paulo, São Paulo, BrazilUniv São Paulo, Inst Crianca, Hosp Clin, São Paulo, BrazilUniv São Paulo, Fac Med Ribeirao Preto, Hosp Clin, Ribeirao Preto, BrazilAmbulatorio Fac Estadual Med Sao Jose Rio Preto, Ribeirao Preto, BrazilEscola Paulista Med, Ctr Diabet, Ribeirao Preto, BrazilClin Endocrinol Santa Casa Belo Horizonte, Belo Horizonte, MG, BrazilUniv Estadual Londrina, Londrina, BrazilUniv Fed Parana, Hosp Clin, Porto Alegre, RS, BrazilInst Crianca Com Diabet Rio Grande Sul, Rio Grande Do Sul, RS, BrazilGrp Hosp Conceicao, Inst Crianca Com Diabet, Porto Alegre, RS, BrazilHosp Univ Santa Catarina, Florianopolis, SC, BrazilInst Diabet Endocrinol Joinville, Joinville, BrazilHosp Reg Taguatinga, Brasilia, DF, BrazilHosp Geral Goiania, Goiania, Go, BrazilCtr Diabet & Endocrinol Estado Bahia, Goiania, Go, BrazilUniv Fed Maranhao, Sao Luis, BrazilCtr Integrado Diabet & Hipertensao Ceara, Fortaleza, Ceara, BrazilUniv Fed Sergipe, Aracaju, BrazilHosp Univ Alcides Carneiro, Campina Grande, BrazilHosp Univ Joao de Barros Barreto, Belem, Para, BrazilFed Univ São Paulo State, Diabet Unit, São Paulo, BrazilUniv Hosp São Paulo, Diabet Unit, São Paulo, BrazilUniv Hosp São Paulo, São Paulo, BrazilEscola Paulista Med, Ctr Diabet, Ribeirao Preto, BrazilWeb of Scienc

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio