Intracranial pseudoaneurysms account for about 1% of intracranial aneurysms with a high mortality. The natural history of intracranial pseudoaneurysm is not well-understood, and its management remains controversial. This review provides an overview of the etiology, pathophysiology, clinical presentation, imaging, and management of intracranial pseudoaneurysms. Especially, this article emphasizes the factors that should be considered for the most appropriate management strategy based on the risks and benefits of each treatment option.
BACKGROUND Methods for predicting the prognosis of patients undergoing surgery for recurrent hepatolithiasis after biliary surgery are currently lacking. AIM To establish a nomogram to predict the prognosis of patients with recurrent hepatolithiasis after biliary surgery. METHODS In this multicenter, retrospective study, data of consecutive patients in four large medical centers who underwent surgery for recurrent hepatolithiasis after biliary surgery were retrospectively analyzed. We constructed a nomogram to predict the prognosis of recurrent hepatolithiasis in a training cohort of 299 patients, following which we independently tested the nomogram in an external validation cohort of 142 patients. Finally, we used the concordance index (C-index), calibra-tion, area under curve, decision curve analysis, clinical impact curves, and visual fit indices to evaluate the accuracy of the nomogram. RESULTS Multiple previous surgeries [2 surgeries: Odds ratio (95% confidence interval), 1.451 (0.719-2.932); 3 surgeries: 4.573 (2.015-10.378); ≥ 4 surgeries: 5.741 (1.347-24.470)], bilateral hepatolithiasis [1.965 (1.039-3.717)], absence of immediate clearance [2.398 (1.304-4.409)], neutrophil-to-lymphocyte ratio ≥ 2.462 [1.915 (1.099-3.337)], and albumin-to-globulin ratio ≤ 1.5 [1.949 (1.056-3.595)] were found to be independent factors influencing the prognosis. The nomogram constructed on the basis of these variables showed good reliability in the training (C-index: 0.748) and validation (C-index: 0.743) cohorts. Compared with predictions using traditional classification models, those using our nomogram showed better agreement with actual observations in the calibration curve for the probability of endpoints and the receiver operating characteristic curve. Dichloroacetate and clinical impact curves showed a larger net benefit of the nomogram. CONCLUSION The nomogram developed in this study demonstrated superior performance and discriminative power compared to the three traditional classifications. It is easy to use, highly accurate, and shows excellent calibration.
The purpose of this study was to develop a rapid and sensitive method utilizing the state-of-the-art protein arrays technique to detect urinary anabolic steroids (ASs) in athletes. Three experiments were designed to investigate the feasibility of the protein arrays for ASs testing. Firstly, androgen receptor (AR) and estrogen receptor (ER) protein arrays were prepared on polysaccharide-coated slides to investigate whether they can bind to ASs (affinity tests). Secondly, in comparison to adrenergic receptor (the receptor of beta-blockers) and opioid receptor (the receptor of narcotic analgesics) arrays, AR and ER protein arrays were used to test whether they can determine the ASs positive urine sample specifically (specific binding tests). At last protein arrays were used to estimate qualitatively the ASs in positive urine samples (qualitative tests). From the results of the affinity tests the shape of the dose-dependence curve suggested a positive cooperative binding of ASs with the protein arrays. The AR and ER protein arrays showed affinities for fluorescence labelled testosterone and estradiol that were similar to those of literatures (0.65 vs. 0.89 nM, 5.96 vs. 10.3 nM, respectively). Based on the data, the sensitivity of testing can reach 0.1 nM that was much better than the World Anti-Doping Code (WADA) standard. Specific binding tests showed that the prohibited substance in positive urine samples belonged to the anabolic estrogenic inhibitor of ASs. From the results of qualitative tests, we could estimate that there were anabolic androgenic steroids in the positive urine samples and their concentration was lower than 50 microM Methyltestosterone. The total time of the test process for ASs in urine needed less than 1 h. In summary, the present study showed that the protein arrays method provided a highly sensitive and rapid alternative to screen urine samples for the detection of the misuse of ASs in athletes and was suitable for testing in both weekly training sessions as well as large-scale competition events.
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