Spatiotemporal and Ecological Patterns of Mycobacterium microti Infection in Wild Boar (Sus scrofa).

Mycobacterium microti has recently been described as the causative agent of tuberculosis-like lesions in wild boar (Sus scrofa), a reservoir specie of Mycobacterium tuberculosis complex (MTBC) in some European Mediterranean ecosystem. Through a five-year survey on tuberculosis in free-living wild boars, the epidemiological trend of M. microti infections and the host and population risk factors linked with its occurrence were described. Retropharyngeal and mandibular lymph nodes of 3041 hunted wild boars from six different districts were macroscopically inspected. The sex and age of each animal were registered, as well as the animal abundance in each district. Lesions compatible with tuberculosis (190) were collected and analysed using a gyrB PCR-RFLP assay. M. microti was identified directly in 99 tissue samples (Prev = 3.26%; 95% CI: 2.67-3.97%), while neither Mycobacterium bovis, nor other members of the MTBC were detected. The probability of being M. microti positive showed spatio-temporal variability, with 26% of increase of risk of being infected for each year. Moreover, a positive effect of wild boar abundance and age on the prevalence was detected. The generalized increase in the European wild boar population, coupled with its sensitivity to M. microti infection, poses a future concern for the identification and management of MTBC members in wild boar.

Development and validation of a nomogram to predict survival in incurable cachectic cancer patients on home parenteral nutrition.

BACKGROUND: The use of home parenteral nutrition (HPN) in incurable cancer patients is extremely varied across different countries and institutions. In order to assess the clinical impact implied, we previously conducted a survey of incurable cancer patients receiving HPN, which shows that survival was markedly affected by Karnofsky performance status (KPS), tumor spread, Glasgow prognostic score (GPS) and tumor site. The aim of this study was to develop a nomogram incorporating the above factors for survival prediction. PATIENTS AND METHODS: We gathered a series of 579 patients, all receiving HPN, which was randomly split into a training and a testing sample. Using Cox proportional hazard regression modeling, a nomogram was built in the training sample, in order to estimate median survival or survival probability at 3 and 6 months according to individual patient characteristics. The nomogram performance was then verified in the testing sample. RESULTS: In the training sample, median survival was 3.2 (95% CI 3.0-3.7) months. GPS, KPS, tumor site and spread were confirmed to be significant prognostic factors. A significant interaction was also shown between the site and spread while weight loss (WL), adjusted for body mass index, failed to provide any substantial prognostic contribution. In the testing sample, nomogram performance was good in terms of calibration and discreet regarding discrimination. CONCLUSION: With the growing availability of new oncological treatments and their tendency to transform the trajectory of the advanced cancer into a chronic condition characterized by progressive WL and poor nutrients intake, an increasing number of patients are expected to receive HPN. In such a setting, tools for predicting the survival outcome may play a role toward personalized medicine and for investigating novel experimental therapies. Our proposed nomogram is a step forward in this direction but needs to be made stronger in order to definitely have clinical utility.