Elaboración y validación de una regla de predicción clinica para identificar compromiso sistemico en casos de loxoscelismo: Preparation and validation of a systemic loxoscelism prediction protocol

Introduction: Systemic loxoscelism is the most severe complication of loxoscelism. The management of the cadre by health personnel presents a high variability due to factors that are currently unknown. There is no standard of reference or a clinical prediction model that can guide our decisions when approaching a spider bite patient. Objective: Develop and validate a clinical prediction rule for systemic loxoscelism. Methods: An observational study of derivation and validation of a clinical prediction model was carried out with diagnostic test validation based on a historical single-arm cohort in patients treated at Vitarte Hospital between 2007 and 2016 and international clinical reports published. Results: Systemic loxoscelism occurred only in 32.9% (n = 24) of cases. For the bivariate analysis, the variables that showed a statistically significant association (P <0.05) were sex, bite in an independent abdomen in relation to other parts of the body, bite in other parts of the body than the abdomen, vomiting , fever and hemoglobinuria. The regression analysis included in the analysis the variables: sex, vomit, fever and hemoglobinuria. Bootstrapping determined the internal validity of the model. The area under the curve was 0.91 (P <0.05) and the sensitivity, specificity, LR + and LR- were 79.1%, 93.8%, 12.9 and 0.22 respectively. Conclusions: The protocol of prediction of systemic derived loxoscelism is valid, for the moment.Introducción: El loxoscelismo sistémico es la complicación más severa del loxoscelismo. El manejo del cuadro por parte del personal de salud presenta una alta variabilidad por factores que se desconocen actualmente. No se cuenta con un estándar de referencia ni con un modelo de predicción clínica que pueda guiar nuestras decisiones al momento del abordaje de un paciente con mordedura de araña. Objetivo: Elaborar y validar una regla de predicción clínica para loxoscelismo sistémico. Métodos: Se llevó a cabo un estudio observacional de derivación y validación de un modelo de predicción clínica con validación de prueba diagnóstica basada en una cohorte histórica de un solo brazo en pacientes atendidos en el Hospital Vitarte entre los años 2007 al 2016 y reportes clínicos internacionales publicados. Resultados: El loxoscelismo sistémico se presentó solo en el 32,9 % (n=24) de casos. Para el análisis bivariado, las variables que demostraron presentar una asociación estadísticamente significativa (P<0,05) fueron el sexo, mordedura en abdomen independiente en relación a otras partes del cuerpo, mordedura en otras partes del cuerpo que no sea el abdomen, vómito, fiebre y hemoglobinuria. El análisis de regresión incluyó en el análisis a las variables: sexo, vómito, fiebre y hemoglobinuria. El bootstrapping determinó la validez interna del modelo. El área bajo la curva fue de 0,91 (P<0,05) y la sensibilidad, espeficidad, LR+ y LR- fueron de 79,1%, 93,8%, 12,9 y 0,22 respectivamente. Conclusiones: El protocolo de predicción del loxoscelismo sistémico derivado es válido, por el momento

Socio-spatial heterogeneity in participation in mass dog rabies vaccination campaigns, Arequipa, Peru.

To control and prevent rabies in Latin America, mass dog vaccination campaigns (MDVC) are implemented mainly through fixed-location vaccination points: owners have to bring their dogs to the vaccination points where they receive the vaccination free of charge. Dog rabies is still endemic in some Latin-American countries and high overall dog vaccination coverage and even distribution of vaccinated dogs are desired attributes of MDVC to halt rabies virus transmission. In Arequipa, Peru, we conducted a door-to-door post-campaign survey on >6,000 houses to assess the placement of vaccination points on these two attributes. We found that the odds of participating in the campaign decreased by 16% for every 100 m from the owner's house to the nearest vaccination point (p = 0.041) after controlling for potential covariates. We found social determinants associated with participating in the MDVC: for each child under 5 in the household, the odds of participating in the MDVC decreased by 13% (p = 0.032), and for each decade less lived in the area, the odds of participating in the MDVC decreased by 8% (p<0.001), after controlling for distance and other covariates. We also found significant spatial clustering of unvaccinated dogs over 500 m from the vaccination points, which created pockets of unvaccinated dogs that may sustain rabies virus transmission. Understanding the barriers to dog owners' participation in community-based dog-vaccination programs will be crucial to implementing effective zoonotic disease preventive activities. Spatial and social elements of urbanization play an important role in coverage of MDVC and should be considered during their planning and evaluation

Integrating evidence, models and maps to enhance Chagas disease vector surveillance.

BackgroundUntil recently, the Chagas disease vector, Triatoma infestans, was widespread in Arequipa, Perú, but as a result of a decades-long campaign in which over 70,000 houses were treated with insecticides, infestation prevalence is now greatly reduced. To monitor for T. infestans resurgence, the city is currently in a surveillance phase in which a sample of houses is selected for inspection each year. Despite extensive data from the control campaign that could be used to inform surveillance, the selection of houses to inspect is often carried out haphazardly or by convenience. Therefore, we asked, how can we enhance efforts toward preventing T. infestans resurgence by creating the opportunity for vector surveillance to be informed by data?Methodology/principal findingsTo this end, we developed a mobile app that provides vector infestation risk maps generated with data from the control campaign run in a predictive model. The app is intended to enhance vector surveillance activities by giving inspectors the opportunity to incorporate the infestation risk information into their surveillance activities, but it does not dictate which houses to surveil. Therefore, a critical question becomes, will inspectors use the risk information? To answer this question, we ran a pilot study in which we compared surveillance using the app to the current practice (paper maps). We hypothesized that inspectors would use the risk information provided by the app, as measured by the frequency of higher risk houses visited, and qualitative analyses of inspector movement patterns in the field. We also compared the efficiency of both mediums to identify factors that might discourage risk information use. Over the course of ten days (five with each medium), 1,081 houses were visited using the paper maps, of which 366 (34%) were inspected, while 1,038 houses were visited using the app, with 401 (39%) inspected. Five out of eight inspectors (62.5%) visited more higher risk houses when using the app (Fisher's exact test, p Conclusions/significanceWithout staying vigilant to remaining and re-emerging vector foci following a vector control campaign, disease transmission eventually returns and progress achieved is reversed. Our results suggest that, when provided the opportunity, most inspectors will use risk information to direct their surveillance activities, at least over the short term. The study is an initial, but key, step toward evidence-based vector surveillance