The human heart is a complex organ in which many complicated congenital defects may happen and some of them require surgical intervention. Due to the vast complexity of varied anatomical presentations, establishing an accurate and consistent nomenclature system is utmost important to facilitate effective communication among pediatric cardiologists, cardiothoracic surgeons and radiologists. The Van Praagh segmental approach to the complex congenital heart disease (CHD) was developed in the 1960s and has been used widely as the language for describing complex anatomy of CHD over the decades. It utilizes a systematic and sequential method to describe the cardiac segments and connections which in turn allows accurate, comprehensive and unambiguous description of CHD. It can also be applied to multiple imaging modalities such as echocardiogram, cardiac CT and MRI. The Van Praagh notation demonstrates a group of three letters, with each letter representative for a key embryologic region of cardiac anatomy: the atria, ventricles and great vessels. By using a 3-steps approach, we can evaluate complex CHD precisely and have no difficulties in communicating with other medial colleague. This pictorial essay revisits the logical steps of segmental approach, followed by a pictorial illustration of its application.
Congenital Abnormalities ; Heart ; Heart Defects, Congenital* ; Humans ; Logic ; Magnetic Resonance Imaging

INTRODUCTION: With Singapore's ageing population, there are increasing numbers of elderly cyclists and motorcyclists. Compared to younger riders, this cohort sustains more injuries and has poorer outcomes. This study aimed to describe and compare patient demographics, injury patterns and outcomes among elderly cyclists and motorcyclists at a Level 1 trauma centre. METHODS: Data of all cyclists, motorcyclists and pillion riders aged 65 years and above who presented to the emergency department after accidents from 1 January 2013 to 31 December 2017 was extracted from the hospital's trauma registry and reviewed. RESULTS: Cyclists and motorcyclists formed 42.0% and 58.0%, respectively, of 157 recruited patients. At the time of the accident, 40.8% of the patients were employed. The mean age of the patients was 71.6 ± 5.8 years. Extremities and pelvic girdle injuries (61.1%) were the most frequent, followed by chest injuries (48.4%), and head and neck injuries (40.1%). Among severe injuries (defined as Abbreviated Injury Scale score ≥ 3), chest injuries (39.5%) were the most common, followed by head and neck injuries (36.3%). The overall mortality rate was 9.6%, with cyclists at nearly three times the risk compared to motorcyclists. More cyclists than motorcyclists (18.2% vs. 11.0%) required intensive care. There were no significant differences in the length of hospital stay between cyclists and motorcyclists. CONCLUSION Elderly riders have unique injury patterns and consume significant healthcare resources. Trauma systems need to acknowledge this changing injury epidemiology and equip trauma centres with the necessary resources targeted at elderly patients. Future work should focus on strategies to minimise extremity and chest injuries.

Introduction: During the COVID-19 pandemic, healthcare providers have been in great fear due to the high risk of contracting COVID-19 infection at any time. This study aimed to determine the mediating role of resilience on the relationship between fear of COVID-19 and burnout in primary care healthcare providers in Malaysia. Methods: This was an online cross-sectional study involving 1280 healthcare providers aged 18 years and older from 30 government primary care clinics in Malaysia. We used the COVID-19 Fear Scale, the Copenhagen Burnout Inventory Scale, and the Short Brief Resilience Scale to collect data from the respondents. Smart-PLS was used to perform mediation analysis. Results: The mean age of the respondents was 36 years old and mean duration of working experience was 11 years. The majority of the respondents were female (82.4%) and Malays (82.3%). The study population consisted of nurses (47.4%), doctors (26%), medical assistants (11.9), healthcare assistant (7.1%), medical laboratory technicians (6.4%) and drivers(1.3).The results show that fear of COVID-19 positively predicts burnout. According to the results, resilience mediates the relationship between fear of COVID-19 and all the three burnout domains, namely personal burnout (β=0.175,p<0.001), work-related burnout (β=0.175,p<0.001) and client-related burnout (β=0.172,p<0.001). Additionally, resilience reduces the impact of COVID-19 fear on the three domains of burnout. Conclusion: Our study has reported a mediating effect of resilience on the relationship between fear of COVID-19 and burnout.