[Urban prophylaxis against the cholera outbreak in Arica, Chile, 1886-1888].

The objective of this research is to analyze the outbreak of cholera that occurred in the city of Arica, located on the northern border of Chile-Peru, at the end of the 1880s. The study focuses on the impact generated by the epidemics in society, medical diagnoses and the rapid spread of contagion. The creation of an institutional framework to face the health emergency and the policies that were implemented to prevent the arrival of the condition to the port are addressed.

YABBY transcription factor family in the octoploid Fragaria × ananassa and five diploid Fragaria species.

YABBY genes encode specific TFs of seed plants involved in development and formation of leaves, flowers, and fruit. In the present work, genome-wide and expression analyses of the YABBY gene family were performed in six species of the Fragaria genus: Fragaria × ananassa, F. daltoniana, F.

Individualized dose of anti-thymocyte globulin based on weight and pre-transplantation lymphocyte counts in pediatric patients: a single center experience.

Anti-thymocyte globulin (ATG) has become a standard in preventing GVHD in related and unrelated donor transplantation, but there is no consensus on the best administration schedule. The PARACHUTE trial reported excellent CD4 immune reconstitution (CD4 IR) using a dosing schedule based on the patient's weight and pre-conditioning absolute lymphocyte count (ALC). In 2015 we introduced the PARACHUTE dosing schedule for pediatric patients at our center.

[Monitoring of anticoagulant treatment with Unfractionated Heparin in pediatrics].

Unlabelled: Unfractionated heparin (UFH) is the most widely used anticoagulant in hospitalized patients. The therapeutic range (TR) was defined in adults according to the prolongation of the activated Partial Thromboplastin Time (aPTT). However, the recommendation is to maintain a therapeutic range with anti-factor Xa assay (antiFXa).

Efficacy of AI Chats to Determine an Emergency: A Comparison Between OpenAI's ChatGPT, Google Bard, and Microsoft Bing AI Chat.

Background The escalating overload and saturation of emergency services, primarily caused by non-urgent cases overwhelming the system, have spurred a critical necessity for innovative solutions that can effectively differentiate genuine emergencies from situations that could be managed through alternative means, such as using AI chatbots. This study aims to evaluate and compare the accuracy in differentiating between a medical emergency and a non-emergency of three of the most popular AI chatbots at the moment. Methods In this study, patient questions from the online forum r/AskDocs on Reddit were collected to determine whether their clinical cases were emergencies.