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Copyright of Revista Praxis & Saber is the property of Universidad Pedagogica y Tecnologica de Colombia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Formación Universitaria is the property of Centro de Informacion Tecnologica (CIT) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objectives: To estimate the best cutoff point of the Mannheim Prognostic Index (MPI) to predict ROC curve mortality in patients with generalized peritonitis. Material and Methods. A retrospective, descriptive, cross-sectional study was performed in 53 patients operated on with the diagnosis of generalized peritonitis in the HRL during the period from 2013 to 2016. Clinical histories were obtained for data collection, analyzed using Microsoft Excel 2010, SPSS and EPIDAT 3.1. Results. We worked with 53 medical records, with 41.5% female and 58.49% male. 54.72% <50 years old, 45.28%> = 50 years old. 86.79% disease time> 24 hours. 37.74% presented multiorgan failure, and 9.43% presented malignancy. With generalized peritonitis represents 88.68%, being of colonic origin 54.72%; With acute appendicitis, 37.73%. A mortality rate of 18.86% was found. Setting the best cut point for the MPI greater than 27 points, with S = 100%, E = 67.44%, VPP = 41.67%, NPV = 100%, CP + = 3.07%, and one IY = 0.67%; No CP-value was recorded at this cut-off level. IPM <27 it was found that 54.72% presented survival; While IPM> = 27, 71.14% had survival. The ROC curve for IPM showed an area under the curve = 0.8523, with a significant value p <0.05, EE = 0.0526, and 95% CI (0.749 to 0.955). Conclusion. The best cutoff point according to ROC curve for predicting mortality is 27, being a good tool for the prognosis of mortality in patients with generalized peritonitis. [ABSTRACT FROM AUTHOR]

The Green Macaw (Ara ambiguus) is one of the 15 parrots (parakeet, parrot and macaw) found in the humid tropical forests of Honduras. Its rarity and scarce information limits knowledge about its population status and conservation. In the present article, we describe its distribution and some threats. We model its potential distribution using the MaxEnt program, through which it is estimated that its habitat is restricted to the Honduran Moskitia and very specifically in the lowland, well-drained, evergreen broadleaved tropical forest. We suggest urgently population for this species must be studied, which would contribute to propose strategies for their ecological viability and conservation in the Honduran Moskitia region. [ABSTRACT FROM AUTHOR]

This paper presents a guide for the design of virtual learning objects (VLO) to guide teachers in implementing teaching strategies that improve teaching-learning process, supported by the information and communications technology (ict). It is designed from the conceptualization of a virtual learning object (VLO) and its characteristics, its components and steps for its construction are determined; framed in the pedagogical dimension and content components and technology. An example of application to the design of a VLO in integral calculus, specifically to study the concept of area under the curve, in the virtual learning environment Moodle, where it was shown that the guidance provided teachers with the creation of the VLO is presented as sequentially ordered the configuration process for the content, learning activities and pedagogical strategy, and students enabled them to learn. [ABSTRACT FROM AUTHOR]

In the treatment of critically ill patient, antibiotic choice and dosage are influenced by factors related to the pathogen, the drug and the patient's health status. The relationship of pharmacokinetic and pharmacodynamic parameters such as maximum concentration (Cmax), area under the curve (AUC) and minimum inhibitory concentration (MIC) can assist in decision-making to choose the drug and the correct dose. According to these parameters, antibiotics are classified into time-dependent and concentration-dependent. The first ones (betalactams, glycopeptides) could require adjustments in the infusion time; while concentration-dependent ones (aminoglycosides, fluoroquinolones) are based on the Cmax / MIC. [ABSTRACT FROM AUTHOR]