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The Toxicology Investigators Consortium (ToxIC) Case Registry was established in 2010 by the American College of Medical Toxicology. The Registry includes all medical toxicology consultations performed at participating sites. This report summarizes the Registry data for 2013. A query of the ToxIC Registry was carried out for the dates of January 1 through December 31, 2013. Specific data reviewed for analysis included demographics (age, gender), source of consultation, reasons for consultation, agents involved in toxicological exposures, signs, symptoms and clinical findings, and treatment. A total of 8,598 cases were entered into the Registry in 2013. Females accounted for 49.2 % of cases, males for 47.7 %, and gender was not reported in 3.1 %. The majority of patients (63.4 %) were adults between the ages of 19 and 65 years. There were 93 fatalities (1.1 %). Most referrals for medical toxicology consultation originated from the emergency department (59.7 %) or inpatient services (16.7 %). Exposures to pharmaceutical products (intentional and unintentional) made up 50.0 % of cases. Illicit drug abuse (8.0 %) and adverse drug reactions (ADRs) (4.8 %) were the next most frequent reasons for consultation. Similar to past years, nonopioid analgesics, sedative-hypnotics, and opioids were the most commonly encountered agents. Symptoms or clinical findings were documented in 71.1 % of patients. Of all cases, 54.6 % required some form of medical treatment (antidotes, antivenom, chelation, specific types of supportive care). This report serves as a comprehensive survey of medical toxicology practice within participating institutions. Prior trends continued to apply this year and indicate analgesic (opioid and nonopioid), sedative-hypnotic/muscle relaxant agents, illicit drug use, and ADRs continue to be major toxicological problems. Cases requiring medical toxicology consultation in 2013 predominantly involved pharmaceuticals and illicit drugs. Reasons for these drug exposures were diverse and included intentional overdose, unintentional exposure, withdrawal syndromes, and ADRs. Nonopioid analgesics, sedative-hypnotic agents, and opioids remained the most frequently encountered agent classes. While over half of cases required some form of medical treatment, fatalities were uncommon.  相似文献   
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According to the NIH, about 275 000 patients receive treatment with 5-Fluorouracil (5-FU) and more than 1300 die from 5-FU toxicity every year from life-threatening myelosuppression, gastrointestinal complications, and neurotoxicity. Immunocompromised persons are at higher risk of developing toxicity. Recently uridine triacetate (Vistagard®) has been approved by the Food and Drug Administration (FDA) as the only specific antidote available for 5-FU poisoning. In a clinical trial (n = 135), 96% of patients with 5-FU toxicity recovered after treatment, where as in a historical control group only 10% survived. This is the first published case report of survival after 5-FU overdose who also was immunocompromised from HIV/AIDs. A 52 year old male with history of HIV/AIDS (CD4 70), CNS toxoplasmosis and anal cancer presented to the emergency department after realizing he had received an entire course of 5-FU in 24 instead of 96 h. Treatment with uridine triacetate was arranged in the emergency department. After receiving treatment the patient was asymptomatic and had an uncomplicated hospital course. 5-FU poisoning must be recognized early as uridine triacetate is approved by the FDA for use within 96 h following the end of 5-FU administration. Emergency medicine physicians should promptly recognize and treat 5-FU poisoning. However, this may be challenging as patients may not seek medical attention until many hours or several days after last administration since symptoms are often delayed with 5-FU poisoning.  相似文献   
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Background and aimsThe objectives were to evaluate the relationship between ketogenic diets, the ketone body beta-hydroxybutyrate (BHB), parameters known to increase risk for cardiovascular and metabolic diseases in both sexes, using a pre-clinical model of obesity.Methods and resultsRats had access to a diet high in fat and sugar (HFS) for 12 weeks. After HFS, they switched to chow (HFS–CH) or ketogenic diet (HFS-KD) for 3 weeks to model a dietary intervention. Body weight, adiposity, and food intake were measured. Glucose tolerance and corticosterone response to stress were measured after HFS, then again after the intervention. Both sexes increased body weight, food intake, and adiposity compared to control (CTL) while on HFS. HFS females showed impaired glucose tolerance. HFS males developed a dampened corticosterone to stress, whereas HFS females developed an exacerbated response. The effects of HFS on adiposity and corticosterone were reversed in HFS–CH males. These same improvements were observed in HFS–CH females, although they still had impaired glucose tolerance. HFS-KD males showed some improvements, however, they still had higher body weight and adiposity than CTL. The same pattern was observed in females. These beneficial effects of KD correlated with plasma BHB levels in females but not in males.ConclusionsThese data model effects reported in clinical literature and serve as a valuable translational tool to further test causal mechanisms that lead to desirable outcomes of KD. These sex-specific relationships are important, as KD could potentially affect endocrine mechanisms differently in males and females.  相似文献   
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ObjectivesTo compare the prognostic capabilities and clinical utility of the cell cycle progression (CCP) gene expression classifier test, multiparametric magnetic resonance imaging (mpMRI) with Prostate Imaging Reporting and Data System (PI-RADS) scoring, and clinicopathologic data in select prostate cancer (PCa) medical management scenarios.Patients and methodsRetrospective, observational analysis of patients (N = 222) ascertained sequentially from a single urology practice from January 2015 to June 2018. Men were included if they had localized PCa, a CCP score, and an mpMRI PI-RADS v2 score. Cohort 1 (n = 156): men with newly diagnosed PCa, with or without a previous negative biopsy. Cohort 2 (n = 66): men who initiated active surveillance (AS) without CCP testing, but who received the test during AS. CCP was combined with the UCSF Cancer of the Prostate Risk Assessment (CAPRA) score to produce a clinical cell-cycle risk (CCR) score, which was reported in the context of a validated AS threshold. Spearman's rank correlation test was used to evaluate correlations between variables. Generalized linear models were used to predict binary Gleason score category and medical management selection (AS or curative therapy). Likelihood-ratio tests were used to determine predictor significance in both univariable and multivariable models.ResultsIn the combined cohorts, modest but significant correlations were observed between PI-RADS score and CCP (rs = 0.22, P = 8.1 × 10?4), CAPRA (rs= 0.36, P = 4.8 × 10?8), or CCR (rs = 0.37, P = 2.0 × 10?8), suggesting that much of the prognostic information captured by these measures is independent. When accounting for CAPRA and PI-RADS score, CCP was a significant predictor of higher-grade tumor after radical prostatectomy, with the resected tumor approximately 4 times more likely to harbor Gleason ≥4+3 per 1-unit increase in CCP in Cohort 1 (Odds Ratio [OR], 4.10 [95% confidence interval [CI], 1.46, 14.12], P = 0.006) and in the combined cohorts (OR, 3.72 [95% CI, 1.39, 11.88], P = 0.008). On multivariable analysis, PI-RADS score was not a significant predictor of post-radical prostatectomy Gleason score. Both CCP and CCR were significant and independent predictors of AS versus curative therapy in Cohort 1 on multivariable analysis, with each 1-unit increase in score corresponding to an approximately 2-fold greater likelihood of selecting curative therapy (CCP OR, 2.08 [95% CI, 1.16, 3.94], P = 0.014) (CCR OR, 2.33 [95% CI, 1.48, 3.87], P = 1.5 × 10?4). CCR at or below the AS threshold significantly reduced the probability of selecting curative therapy over AS (OR, 0.28 [95% CI, 0.13, 0.57], P = 4.4 × 10?4), further validating the clinical utility of the AS threshold.ConclusionCCP was a better predictor of both tumor grade and subsequent patient management than was PI-RADS. Even in the context of targeted biopsy, molecular information remains essential to ensure precise risk assessment for men with newly diagnosed PCa.  相似文献   
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