Anesthesia and analgesia
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When adding new markers to existing prediction models, it is necessary to evaluate the models to determine whether the additional markers are useful. The net reclassification improvement (NRI) has gained popularity in this role because of its simplicity, ease of estimation, and understandability. Although the NRI provides a single-number summary describing the improvement new markers bring to a model, it also has several potential disadvantages. ⋯ Also, overfitting, or otherwise misspecified training models, produce overly positive NRI results. Because of the unaccounted for uncertainty in the model coefficient estimation, investigators should rely on bootstrapped confidence intervals rather than on tests of significance. Keeping in mind the limitations and drawbacks, the NRI can be helpful when used correctly.
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Anesthesia and analgesia · Mar 2016
R-Duloxetine and N-Methyl Duloxetine as Novel Analgesics Against Experimental Postincisional Pain.
Antidepressant S-duloxetine alleviates intractable pain associated with diabetic peripheral neuropathy and fibromyalgia. It also reduces both acute and persistent pain in various animal models. This study addresses whether the enantiomer, R-duloxetine, and the homolog, N-methyl duloxetine, could act as analgesics and whether they block neuronal Na⁺ channels. ⋯ R-Duloxetine and N-methyl duloxetine are highly effective against postoperative pain using the skin incision model, and they elicit both tonic and use-dependent block of neuronal Na⁺ channels. Our results suggest that R-duloxetine and N-methyl duloxetine are applicable as novel analgesics.