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Introduction: Sleep deprivation impacts clinical performance. However, literature is conflicting, with insufficient focus on patient outcomes. The aim of this study was to assess if patient satisfaction and prescription errors in outpatient clinics were adversely affected when consulting post-call versus non-post-call registrars. Methods: This prospective, quantitative study was set in a large teaching hospital in Singapore. Between November 2015 and February 2016, patients from clinics run by a registrar after 24-hour shift were recruited to post-call group. Patients from nonpost-call clinics run by the same registrar were controls. Outcome measures were patient satisfaction, using 5-item 4-point Likert scale questionnaire, and prescribing error rate, defined as number of errors over number of orders. Differences were analysed using chi-squared test. Results: 103 of 106 (97%) patients in 9 post-call clinics and 93 of 105 (90%) patients in 9 non-post-call clinics were recruited. Questionnaire completion rate was 99%. 536 and 526 prescriptions were ordered in post-call and non-post-call groups, respectively. Percentage of top-box responses (greatest satisfaction) was higher in post-call group overall (79.3% versus 62.4%, p<0.001), and for each questionnaire item. There was no significant difference in prescribing errors (1.31% versus 2.28%, p=0.23). Conclusion: Patient satisfaction and prescribing error rates in outpatient clinics were not detrimentally affected. This provides some objective evidence that patients may safely consult post-call registrars. True impacts of sleep deprivation remain poorly understood, and larger, longer term, multicentre studies would inform generalisability. Qualitative studies of fatigue may shed light on complex interactions of emotions that compensate for tiredness. [ABSTRACT FROM AUTHOR]

Proper inlet boundary conditions are essential for accurate computational fluid dynamics (CFD) modeling. We developed methodology to derive noninvasive FFRB using CFD and computed tomography coronary angiography (CTCA) images. This study aims to assess the influence of brachial mean blood pressure (MBP) and total coronary inflow on FFRB computation. Twenty-two patients underwent both CTCA and FFR measurements. Total coronary flow was computed from left ventricular mass (LVM) measured from CTCA. A total of 286 CFD simulations were run by varying MBP and LVM at 70, 80, 90, 100, 110, 120, and 130% of the measured values. FFRB increased with incrementally higher input values of MBP: 0.78 ± 0.12, 0.80 ± 0.11, 0.82 ± 0.10, 0.84 ± 0.09, 0.85 ± 0.08, 0.86 ± 0.08, and 0.87 ± 0.07, respectively. Conversely, FFRB decreased with incrementally higher inputs value of LVM: 0.86 ± 0.08, 0.85 ± 0.08, 0.84 ± 0.09, 0.84 ± 0.09, 0.83 ± 0.10, 0.83 ± 0.10, and 0.82 ± 0.10, respectively. Noninvasive FFRB calculated using measured MBP and LVM on a total of 30 vessels was 0.84 ± 0.09 and correlated well with invasive FFR (0.83 ± 0.09) (r = 0.92, P < 0.001). Positive association was observed between FFRB and MBP input values (mmHg) and negative association between FFRB and LVM values (g). Respective slopes were 0.0016 and −0.005, respectively, suggesting potential application of FFRB in a clinical setting. Inaccurate MBP and LVM inputs differing from patient-specific values could result in misclassification of borderline ischemic lesions. NEW & NOTEWORTHY While brachial mean blood pressure (MBP) and left ventricular mass (LVM) measured from CTCA are the two CFD simulation input parameters, their effects on noninvasive fractional flow reserve (FFRB) have not been systematically investigated. We demonstrate that inaccurate MBP and LVM inputs differing from patient-specific values could result in misclassification of borderline ischemic lesions. This is important in the clinical application of noninvasive FFR in coronary artery disease diagnosis. [ABSTRACT FROM AUTHOR]

Background: Resident attrition is costly but literature studying the motivations behind it in obstetrics and gynaecology (OBGYN) is lacking. Objectives: We aimed to study the relationship between prior specialty-appropriate work experience and risk of attrition amongst OBGYN residents in Singapore, and identify factors placing residents at greater risk of attrition. Methods: This nationwide mixed methods case control study studied all OBGYN residents in Singapore for the 2011 and 2012 intakes. A pre-piloted questionnaire was used to identify work experience and risk factors related to resident attrition. Structured interviews were conducted with a subgroup of participants chosen for diversity of educational background, work experience, and position towards residency. Results: 28 of 33 (84.8%) eligible residents participated in this study. Female (40.9% vs. 0%), married (50.0% vs. 22.2%) and Singaporean (38.1% vs.14.3%) residents more often considered attrition from training. Those accepted into residency after graduation were 33% less likely to have considered leaving. No statistical difference was observed between residents with prior work experience and those without (38.9% vs. 20.0%, p=0.417). All interviewees believed that prior experience informs expectations and eases initial learning. Low job satisfaction related to mismatched expectations was the most quoted reason for considering attrition. 85.7% of interviewed residents were concerned about competing work and family demands. Conclusions: Lack of specialty-appropriate work experience contributes to misinformed training expectations and increased attrition risk. Residents who have considered attrition may still desire career longevity in their specialty. Reduction in mismatched expectations promises to improve job satisfaction and translate to career longevity. [ABSTRACT FROM AUTHOR]

Aims: Near-infrared spectroscopy (NIRS) has been employed to assess the composition of the atherosclerotic plaques in native coronary arteries. However, little is known about the detection of neoatherosclerosis by NIRS in in-stent restenosis (ISR). The aim of the study was to assess the relationship between the distribution of lipid determined by NIRS and morphology of ISR on optical coherence tomography (OCT). Methods and results: We performed both NIRS and OCT in 39 drug-eluting stents with ISR. Values of lipid-core burden index (LCBI) derived by NIRS were compared with the OCT-derived thickness of the fibrous cap covering neoatherosclerotic lesions. A total of 22 (49%) in-stent neointimas were identified as lipid rich by both NIRS and OCT. There was good agreement between OCT and NIRS in identifying lipid within in-stent neointima (kappa = 0.60, 95% CI: 0.34-0.86). OCT identified thin-cap neoatheromas (TCNA) (<65 µm) in 12 stents (23%). The minimal cap thickness of in-stent neoatherosclerotic plaque measured by OCT correlated with the maxLCBI4mm (maximal LCBI per 4 mm) within the stent (r = -0.77, P< 0.01). Moreover, maxLCBI4mm was able to accurately predict TCNA with a cut-off value of >144. Conclusion: NIRS correlates with OCT identification of lipids in stented vessels and is able to predict the presence of thin fibrous cap neoatheroma. [ABSTRACT FROM AUTHOR]