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"These are the first quantitatively based freshwater predictions for invasive species," says Lodge.
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Moreover, this may in part explain why circulating oestrogen levels consistently have been observed to increase risk, as well as risk prediction for invasive postmenopausal breast cancer [ 61], but the association between endogenous oestrogen levels and breast cancer among premenopausal women is less clear [ 3].
The prediction rules were applied to our patient population, and the primary outcomes were sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of each of the clinical prediction rules for invasive candidiasis.
This study served as an external validation and comparison of two previously published clinical prediction rules for invasive candidiasis [ 15, 16].
In 2005, Paphitou and colleagues [ 15] published a prediction rule for invasive candidiasis in ICU patients that incorporated risk factors of hemodialysis, TPN, diabetes mellitus and broad-spectrum antibiotics.
This study serves as an external validation and comparison of two clinical prediction rules for invasive candidiasis previously published by Paphitou et al. [ 15] and Ostrosky-Zeichner et al. [ 16].
See related research by Hermsen et al., http://ccforum.com/content/15/4/R198 In the previous issue of Critical Care, Hermsen and colleagues [ 1] presented a validation of two clinical prediction rules for invasive candidiasis (IC) and propose a new one based on common risk factors found in ICU patients.
Multivariate analysis for prediction of invasive adenocarcinoma among clinical Stage IA patients.
Accurate and reliable predictions of invasive species distributions are urgently needed by land managers for developing management plans and monitoring new potential areas of establishment.
Nevertheless, using a logistic regression analysis, these variables were not identified as confounding factors for TEE Doppler prediction of invasive PAOP in patients studied in protocol A. Although conventional Doppler parameters were derived from an inhomogeneous group of patients (protocol A), they were prospectively tested in a subset of patients with respiratory failure (protocol B).
Predictions of where climatically suitable habitats for invasive species are, or will be located in the future, and how the present habitats respond to climate change provide critical information for preventing biological invasions and the ecological restoration of invaded areas [9].
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