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Objective: To determine whether visuospatial perception (VSP) testing is correlated to simulated or intraoperative surgical performance as rated by the American College of Graduate Medical Education (ACGME) milestones., Design: (Canadian Task Force classification II-2)., Setting: Two academic training institutions., Participants: Forty-one residents, including 19 from Brigham and Women's Hospital and 22 from the Mayo Clinic, from 3 different specialties: obstetrics and gynecology, general surgery, and urology., Intervention: Participants underwent 3 different tests: visuospatial perception testing (VSP), Fundamentals of Laparoscopic Surgery (FLS) peg transfer, and da Vinci robotic simulation peg transfer. Surgical grading from the ACGME milestones tool was obtained for each participant. Demographic and background information was also collected, including specialty, year of training, previous experience with simulated skills, and surgical interest. Standard statistical analyses were performed using Student's t test, and correlations were determined using adjusted linear regression models., Measurements and Main Results: In univariate analysis, Brigham and Women's Hospital and Mayo Clinic training programs differed in times and overall scores for both the FLS peg transfer and da Vinci robotic simulation peg transfer tests (p < .05 for all). In addition, type of residency training affected time and overall score on the robotic peg transfer test. Familiarity with tasks correlated with higher score and faster task completion (p = .05 for all except VSP score). There were no differences in VSP scores by program, specialty, or year of training. In adjusted linear regression modeling, VSP testing was correlated only to robotic peg transfer skills (average time, p = .006; overall score, p = .001). Milestones did not correlate to either VSP or surgical simulation testing., Conclusion: VSP score was correlated with robotic simulation skills, but not with FLS skills or ACGME milestones. This suggests that the ability of VSP score to predict competence differs between tasks. Therefore, further investigation of aptitude testing is needed, especially before its integration as an entry examination into a surgical subspecialty., (Copyright © 2018 American Association of Gynecologic Laparoscopists. Published by Elsevier Inc. All rights reserved.)

Several formulas have been proposed to adjust the QT interval for heart rate, the most commonly used being the QT correction formula (QTc = QT/square root of RR) proposed in 1920 by Bazett. The QTc formula was derived from observations in only 39 young subjects. Recently, the adequacy of Bazett's formula has been questioned. To evaluate the heart rate QT association, the QT interval was measured on the initial baseline electrocardiogram of 5,018 subjects (2,239 men and 2,779 women) from the Framingham Heart Study with a mean age of 44 years (range 28 to 62). Persons with coronary artery disease were excluded. A linear regression model was developed for correcting QT according to RR cycle length. The large sample allowed for subdivision of the population into sex-specific deciles of RR intervals and for comparison of QT, Bazett's QTc and linear corrected QT (QTLC). The mean RR interval was 0.81 second (range 0.5 to 1.47) heart rate 74 beats/min (range 41 to 120), and mean QT was 0.35 second (range 0.24 to 0.49) in men and 0.36 second (range 0.26 to 0.48) in women. The linear regression model yielded a correction formula (for a reference RR interval of 1 second): QTLC = QT + 0.154 (1-RR) that applies for men and women. This equation corrects QT more reliably than the Bazett's formula, which overcorrects the QT interval at fast heart rates and undercorrects it at low heart rates. Lower and upper limits of normal QT values in relation to RR were generated.(ABSTRACT TRUNCATED AT 250 WORDS)

The baseline electrocardiograms of 5,125 original subjects of the Framingham Heart Study were measured to examine the relation of the QT interval corrected for heart rate (QTc) to risk of total mortality, sudden cardiac death, and death due to coronary artery disease over a 30-year follow-up period. Quintiles of QTc (seconds) less than or equal to 0.36, 0.36 to 0.38, 0.39 to 0.40, 0.41 to 0.43 and greater than or equal to 0.44 were studied in relation to these outcomes. There were no significant differences in the risk of total mortality, sudden cardiac death or death due to coronary artery disease according to QTc. A similar lack of significant association between QTc and these 3 outcomes was observed among all persons studied and in the 2 sexes after using a multiple regression analysis to control for several potentially confounding characteristics including age, gender, cigarette smoking, serum total cholesterol, systolic systemic blood pressure and Framingham relative weight. The results of this study fail to demonstrate an association between baseline QTc and overall mortality, and deaths due to sudden cardiac events or coronary artery disease in a large population-based cohort of essentially healthy persons in whom pathologic forms of QTc prolongation are uncommon.