Purpose: To investigate and compare the morphological features and differences among Gaussian, Sagittal, and Tangential anterior corneal curvature maps obtained with an anterior segment optical coherence tomographer combined with a Placido disc MS-39 device in keratoconus (KC) and normal eyes.
Methods: Prospective, cross-sectional study including 37 KC and 51 healthy eyes. The pattern of astigmatism and maximum keratometry (Kmax), keratometry at the thinnest point (Ktp) and 2 mm diameter (K 2mm ), and inferior-superior dioptric asymmetry values were obtained and calculated from Gaussian, Tangential, and Sagittal curvature maps using the MS-39 (CSO).
Purpose: To assess the repeatability of corneal dynamic response (CDR) parameters in normal and keratoconus (KC) eyes using ultra high-speed Scheimpflug imaging.
Methods: Prospective, comparative, observational study, including eyes of 112 patients that underwent high-speed Scheimpflug imaging analysis (Corvis ST, OCULUS). Twenty-one CDR parameters were evaluated to asses repeatability using: coefficient of repeatability (CR), coefficient of variation, intraclass correlation coefficient (ICC) and within-subject SD.
Rev Peru Med Exp Salud Publica
May 2018
RESUMEN Diseases like diabetes mellitus (DM) and hypertension (HT) generate high costs and are the most common cause of mortality in the Americas. In the case of Peru, given demographic and epidemiological changes, particularly the alarming increase in overweight and obesity, the burden of these diseases is constantly increasing, resulting in the need to budget more financial resources to the health services. The total care costs of these diseases and their complications represent a financial burden that should be considered very carefully by health institutions when they draft their budgets.
View Article and Find Full Text PDFIntroduction: Dengue fever is a major impact on public health vector-borne disease, and its transmission is influenced by entomological, sociocultural and economic factors. Additionally, climate variability plays an important role in the transmission dynamics. A large scientific consensus has indicated that the strong association between climatic variables and disease could be used to develop models to explain the incidence of the disease.
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