The Effect of Global Surgery Fellowship for Tertiary Hospital Professionals from Myanmar: Current Issues and Future Challenges.

OBJECTIVE: As the surgical burden of diseases grows higher than ever, the development of skilled surgeons and surgery teams is of fundamental importance. However, there is scarce evidence of the effectiveness of surgical training programs. Our study aims to evaluate the effectiveness of a global surgery fellowship program. DESIGN: In 2018, Myanmar subspecialty surgeons were trained for a 3-month in tertiary hospital of Korea. We evaluated the reactions, learning, and transfer of the 11 trainees using Kirkpatrick's Evaluation Model. SETTING: Myanmar and Korean tertiary hospital. PARTICIPANTS: Eleven participants of fellowship from Myanmar. RESULTS: Participants' overall reaction scores were 4.45 ± 0.52 out of 5.00. Regarding overall competency, the trainees assessed themselves as at an "advanced beginner level" (3.63 ± 1.38 out of 10.00) at the beginning and at a "competent level" (5.40 ± 1.70 out of 10.00) after the training (p for difference = 0.014). The trainees stated that their transfer in clinical practice was between "quite applicable" and "I am very sure that I can do this" (3.39 ± 0.61 out of 4.00). Their transfer in education was second, ranked around "quite applicable" (3.21 ± 0.77 out of 4.00), and their transfer in research was last and ranked "applicable, but just a little" (2.81 ± 0.67 out of 4.00). However, in our online survey, native and foreign trainers had mixed opinions about the transfer of training and were not entirely confident in the trainees' competency. Trainees felt that there were multifactorial challenges for transfer and cited infrastructure, facilities, human resources, perioperative care, and financing. CONCLUSIONS: Surgical trainees reported high-level satisfaction and increased knowledge after training. However, further onsite surgical experiences are necessary for a successful transfer to the real setting. Challenges for such transfers were multifactorial, and surgical care must be systemically strengthened.

Prognostic Value of Cardiac MR Imaging for Preoperative Assessment of Patients with Severe Functional Tricuspid Regurgitation.

Purpose To explore the prognostic value of cardiac magnetic resonance (MR) imaging in predicting postoperative cardiac death in patients with severe functional tricuspid regurgitation (TR). Materials and Methods This study was approved by the institutional review board, and written informed consent was obtained from all patients. Prospectively collected data included cardiac MR images, New York Heart Association (NYHA) functional class, a comprehensive laboratory test, and clinical events over the follow-up period in 75 consecutive patients (61 women and 14 men; mean age ± standard deviation, 59 years ± 9) undergoing corrective surgery for severe functional TR. Cox proportional hazards models were used to assess the association between cardiac MR parameters and outcomes. Results During a median follow-up period of 57 months (range, 21-82 months), cardiac mortality and all-cause mortality were 17.3% and 26.7%, respectively, with a surgical mortality of 6.7%. Cardiac death risk was lower with a higher right ventricular (RV) ejection fraction (EF) on cardiac MR images (hazard ratio per 5% higher EF = 0.790, P = .048). By adjusting for confounding variables, RV EF remained a significant predictor for cardiac death (P < .05) and major postoperative cardiac events (P < .05). The area under the receiver operating characteristic curve (AUC) confirmed the incremental role of RV EF on cardiac MR images in the prediction of postoperative cardiac death (AUC, 0.681-0.771; P = .041) and major postoperative cardiac events (AUC, 0.660-0.745; P = .044) on top of NYHA class. RV end-systolic volume index was also independently associated with these outcomes but failed to increase the AUC significantly. Conclusion Preoperative assessment of cardiac MR imaging-based RV EF provides independent and incremental prognostic information in patients undergoing corrective surgery for severe functional TR. (©) RSNA, 2016 Online supplemental material is available for this article.

Modeling and analysis of an energy-efficient mobility management scheme in IP-based wireless networks.

An energy-efficient mobility management scheme in IP-based wireless networks is proposed to reduce the battery power consumption of mobile hosts (MHs). The proposed scheme manages seven MH states, including transmitting, receiving, attention/cell-connected, attention/paging area(PA)-connected, idle, off/attached, and detached states, to efficiently manage battery power, radio resources, and network load. We derive the stationary probabilities and steady state probabilities of the seven MH states for the proposed scheme in IP-based wireless networks in compact form. The effects of various input parameters on MH steady state probabilities and power consumption are investigated in the proposed scheme compared to the conventional scheme. Network costs such as cell updates, PA updates, binding-lifetime-based registrations, and paging messages are analyzed in the proposed and conventional schemes. The optimal values of PA size and registration interval are derived to minimize the network cost of the proposed scheme. The combined network and power costs are investigated for the proposed and conventional schemes. The results provide guidelines to select the proper system parameters in IP-based wireless networks.