The predictive value of the epicardial adipose thickness in the rate of expansion of the aortic root.

BACKGROUND: Epicardial adipose tissue (ECAT) is metabolically active and is involved in the development of atherosclerosis. The thickness of ECAT has been positively correlated with the dimensions of the ascending aorta. We aimed to examine whether ECAT thickness predicted the expansion of the aortic dimensions. METHODS: The imaging results of patients who had undergone transthoracic echocardiographic (TTE) examinations more than twice during the period 2005-2015 were surveyed. We included adult patients who had undergone TTE examinations at least 1 year apart. The ECAT was measured in the parasternal long-axis view from the index TTE study. End-diastolic dimensions in three consecutive beats were averaged for all measurements. The annulus, root, and sinotubular junction (STJ) were also measured. The amount of increase (if any) in aortic dimensions per year was calculated and the correlation of this increase with the initial thickness of the ECAT was analyzed. RESULTS: In total, 429 examinations were performed with 197 patients (17 females), from which 394 examinations were analyzed. The ECAT thickness was 8.6 ± 3.6 mm. In the initial examinations, the annulus, STJ, and root measured 23 ± 4, 28 ± 4, and 34 ± 4 mm, respectively. In univariate analysis, for every 1 mm of ECAT thickness, the STJ expanded 0.056 (95% CI: 0.001-0.112 mm/year; p = 0.030) and the aortic root expanded 0.088 mm/year (p < 0.001). In multivariate analysis, ECAT thickness remained an independent predictor of the aortic root expansion. For every 1­mm increase in ECAT thickness, the aortic root expanded by 0.036 mm (95% CI: 0.010-0.062) per year (p = 0.007). CONCLUSION: The thickness of the ECAT is a predictor of more rapid increases in the dimensions of the aortic root. Further studies of patients with established aortic aneurysm are warranted.

Anesthetic Immunomodulation of the Neuroinflammation in Postoperative Cognitive Dysfunction.

Postoperative delirium and cognitive dysfunction are phenomena that are associated with increases in morbidity, mortality, and resource utilization after surgery. This review scrutinized a number of studies in order to better characterize the biochemical basis for associated cognitive dysfunction and delirium, with particular focus paid to the interactions of the cholinergic system with innate immunity and how the modulation of the immune system contributes to associated neuroinflammation. Despite the clinical impact of postoperative cognitive dysfunction, evidence-based protocols for the prevention and treatment of these disorders are still lacking. Several previous trials have attempted to prevent or treat clinical manifestation by modulation of the cholinergic system with acetylcholinesterase inhibitors, the results of which have been largely ambiguous at best. As the biochemical basis of postoperative cognitive dysfunction becomes more clearly defined, future research into therapeutics based on immune modulation and treatment of neuroinflammation may prove to be very promising.

Postanesthesia emergence in patients with post-traumatic stress disorder.

STUDY OBJECTIVE: Recovery from anesthesia may be complicated with development of severe panic symptoms and anxiety. Preexisting anxiety disorder has been reported as a risk factor for development of these symptoms. We aimed to examine the frequency of emergence delirium (EDL) among veterans diagnosed with posttraumatic stress disorders (PTSDs). DESIGN: Retrospective cohort. SETTING: Postoperative recovery area. PATIENTS: Perioperative information of 1763 consecutive patients who underwent a surgical procedure requiring general anesthesia were collected. The patients were grouped on the basis of previous diagnosis of PTSD. A total of 317 patients were identified with a positive history of PTSD and were compared to 1446 patients without such a history for the occurrence of EDL in the postanesthesia care unit (PACU) as the primary endpoint. MEASUREMENTS: Duration of stay in PACU in minutes and the frequency of hospital admission were the secondary endpoints. Multivariate binary logistic regression analysis was performed to identify the predictors of EDL among the veteran population. MAIN RESULTS: Emergence delirium was reported in 37 cases (2.1%) after general anesthesia. Fifteen (4.7%) of 317 patients with PTSD and 22 (1.5%) of 1446 patients without history of PTSD demonstrated symptoms related to EDL in the PACU (P=.002). After propensity matching, there were 8 patients with EDL in the PTSD group whereas there were only 2 patients with EDL among controls. Posttraumatic stress disorder was also an independent predictor of EDL in multivariate analysis with an odds ratio of 6.66 and a 95% confidence interval of 2.04 to 21.72 (P=.002). CONCLUSIONS: Posttraumatic stress disorder independently predicted the frequency of EDL even after correcting for preexisting depression and anxiety disorders. A relatively longer duration of PACU stay in PTSD patients may reflect raised awareness of the health care workers about this debilitating mental disorder.