Hyperbaric oxygen therapy in necrotising soft tissue infections: a study of patients in the United States Nationwide Inpatient Sample.

PURPOSE: Necrotising soft tissue infection (NSTI) is a deadly disease associated with a significant risk of mortality and long-term disability from limb and tissue loss. The aim of this study was to determine the effect of hyperbaric oxygen (HBO(2)) therapy on mortality, complication rate, discharge status/location, hospital length of stay and inflation-adjusted hospitalisation cost in patients with NSTI. METHODS: This was a retrospective study of 45,913 patients in the Nationwide Inpatient Sample (NIS) from 1988 to 2009. RESULTS: A total of 405 patients received HBO(2) therapy. The patients with NSTI who received HBO(2) therapy had a lower mortality (4.5 vs. 9.4 %, p = 0.001). After adjusting for predictors and confounders, patients who received HBO(2) therapy had a statistically significantly lower risk of dying (odds ratio (OR) 0.49, 95 % confidence interval (CI) 0.29-0.83), higher hospitalisation cost (US$52,205 vs. US$45,464, p = 0.02) and longer length of stay (LOS) (14.3 days vs. 10.7 days, p < 0.001). CONCLUSIONS: This retrospective analysis of HBO(2) therapy in NSTI showed that despite the higher hospitalisation cost and longer length of stay, the statistically significant reduction in mortality supports the use of HBO(2) therapy in NSTI.

Patterns of herbal combination for the treatment of insomnia commonly employed by highly experienced Chinese medicine physicians.

OBJECTIVE: To explore the most effective herbal combinations commonly used by highly experienced Chinese medicine (CM) physicians for the treatment of insomnia. METHODS: We collected and analyzed data related to insomnia treatment from the clinics of 7 highly experienced CM physicians in Beijing. The sample included 162 patients and 460 consultations in total. Patient outcomes, such as sleep quality and sleep time per day, were manually collected from the medical records by trained CM clinicians. Three data mining methods, support vector machine (SVM), logistic regression and decision tree, and multifactor dimensionality reduction (MDR), were used to determine and confirm the herbal combinations that resulted in positive outcomes in patients suffering from insomnia. RESULTS: Results show that MDR is the most efficient method to predict the effective herbal combinations. Using the MDR model, we identified several combinations of herbs with 100% positive outcomes, such as stir-fried spine date seed, Szechwan lovage rhizome, and prepared thinleaf milkwort root; white peony root, golden thread, and stir-fried spine date seed; and Asiatic cornelian cherry fruit with fresh rehmannia. CONCLUSIONS: Results indicate that herbal combinations are effective treatments for patients with insomnia compared with individual herbs. It is also shown that MDR is a potent data mining method to identify the herbal combination with high rates of positive outcome.