Problem-solving in virtual environment simulations prior to direct instruction for differential diagnosis in medical education: An experimental study.

Background: Despite acquiring vast content knowledge about the functioning of the human body through university teaching, medical students struggle to transfer that knowledge to one of the core disciplinary practices - differential diagnosis. The authors aimed to overcome this problem by implementing computer-based virtual environment simulations in medical education courses. Methods: In an experimental study, the authors compared problem-solving in medical computer-based virtual environment simulations prior to instruction with an instruction-first approach. They compared the effects on isomorphic testing and transfer performance of clinical knowledge and clinical reasoning skills as well as evoked learning mechanisms. The study took place in spring 2021 with undergraduate medical students in the scope of a medical trajectory course. Due to Corona-Virus-19 measures participants completed all study activities remotely from home. Results: The authors did not find any learning activity sequence to be superior to the other. However, when looking at the two learning activities individually, they found that problem-solving in computer-based virtual environment simulations and direct instruction might be equally effective for learning content knowledge. Nevertheless, problem-solving in computer-based virtual environment simulations with formative feedback might be more effective for learning clinical reasoning skills than mere instruction. Conclusions: The findings indicate that problem-solving in computer-based virtual environment simulations might be more effective for learning clinical reasoning skills than mere theoretical instruction. The present study has a high level of ecological validity because it took place in a realistic setting where students had to perform all learning and testing tasks autonomously.

Clinical impact of repolarization changes in supine versus upright body position.

BACKGROUND: The impact of postural changes on various electrocardiography (ECG) characteristics has only been assessed in a few small studies. This large prospective trial was conducted to confirm or refute preliminary data and add important results with immediate impact on daily clinical practice. METHODS: ECGs in supine and upright position from 1028 patients were analyzed. Evaluation was made according to changes in T-wave vector and direction, ST-segment deviation, heart rate, QT interval and QTc interval was performed. Findings were correlated with the medical history of patients. RESULTS: Positional change from supine to upright resulted in a significantly increased heart rate (8.05 ± 7.71 bpm) and a significantly increased QTc interval after Bazetts (18 ± 23.45 ms) and Fridericas (8.84 ± 17.30) formula. In the upright position significantly more T-waves turned negative (14.7%) than positive (5.7%). ST elevation was recorded in only 0.4% and ST depression in not more than 0.2% of all patients. CONCLUSIONS: The majority of the patients do not show significant morphological changes in their ECG by changing the body position from supine to upright. Changes of QTc time instead, are significant and the interval might be overestimated in upright. Therefore assessment of the QTc interval should strictly be done in a supine position.

Robot-assisted training for heart failure patients - a small pilot study.

OBJECTIVE: The objective of this study was assess robot-assisted gait therapy with the Lokomat® system in heart failure patients. METHODS: Patients (n = 5) with stable heart failure and a left ventricular ejection fraction of less than 45% completed a four-week aerobic training period with three trainings per week and an integrated dynamic resistance training of the lower limbs. Patients underwent testing of cardiac and inflammatory biomarkers. A cardiopulmonary exercise test, a quality of life score and an evaluation of the muscular strength by measuring the peak quadriceps force was performed. RESULTS: No adverse events occurred. The combined training resulted in an improvement in peak work rate (range: 6% to 36%) and peak quadriceps force (range: 3% to 80%) in all participants. Peak oxygen consumption (range: ­3% to + 61%) increased in three, and oxygen pulse (range: ­7% to + 44%) in four of five patients. The quality of life assessment indicated better well-being in all participants. NT-ProBNP (+233 to ­733 ng/ml) and the inflammatory biomarkers (hsCRP and IL6) decreased in four of five patients (IL 6: +0.5 to ­2 mg/l, hsCRP: +0.2 to ­6.5 mg/l). CONCLUSIONS: Robot-assisted gait therapy with the Lokomat® System is feasible in heart failure patients and was safe in this trial. The combined aerobic and resistance training intervention with augmented feedback resulted in benefits in exercise capacity, muscle strength and quality of life, as well as an improvement of cardiac (NT-ProBNP) and inflammatory (IL6, hsCRP) biomarkers. Results can only be considered as preliminary and need further validation in larger studies. (ClinicalTrials.gov number, NCT 02146196)