Optimal door-to-balloon time for primary percutaneous coronary intervention for ST-elevation myocardial infarction.

BACKGROUND: Door-to-balloon time (DTBT) for ST-elevation myocardial infarction (STEMI) is a performance metric by which primary percutaneous coronary intervention (PPCI) services are assessed. METHODS: Consecutive patients presenting with STEMI undergoing PPCI between January 2007 to December 2019 from the Singapore Myocardial Infarction Registry were included. Patients were stratified based on DTBT (≤60 min, 61-90 min, 91-180 min) and Killip status (I-III vs. IV). Outcomes assessed included all-cause mortality and major adverse cardiovascular events (MACE) at 30-days and 1-year. RESULTS: In total, 13,823 patients were included, with 82.59% achieving DTBT ≤90 min and 49.77% achieving DTBT ≤60 min. For Killip I-III (n = 11,591,83.85%), the median DTBT was 60[46-78]min. The 30-day all-cause mortality for DTBT of ≤60 min, 61-90 min and 91-180 min was 1.08%, 2.17% and 4.33% respectively (p < 0.001). On multivariate analysis, however, there was no significant difference for 30-day and 1-year outcomes across all DTBT (p > 0.05). For Killip IV, the median DTBT was 68[51-91]min. The 30-day all-cause mortality for DTBT of ≤60 min, 61-90 min and 91-180 min was 11.74%, 20.48% and 35.06% respectively (p < 0.001). On multivariate analysis for 30-day and 1-year outcomes, DTBT 91-180 min was an independent predictor of worse outcomes (p < 0.05), but there was no significant difference between DTBT of ≤60 min and 61-90 min (p > 0.05). CONCLUSION: In Killip I-III patients, DTBT had no significant impact on outcomes upon adjustment for confounders. Conversely, for Killip IV patients, a DTBT of >90 min was associated with significantly higher adverse outcomes, with no differences between a DTBT of ≤60 min vs. 61-90 min. Outcomes in STEMI involve a complex interplay of factors and recommendations of a lowered DTBT of ≤60 min will require further evaluation.

Residents' Report of COVID-19 Associated Training Disruptions, Stressors, and Opportunities During the Pandemic-The Singapore Experience.

Background: The COVID-19 pandemic has disrupted residency training. Several studies have been performed to investigate the impact of the pandemic on residency training in Accreditation Council for Graduate Medical Education-International (ACGME-I)-accredited institutions. However, these were either limited to certain specialties or failed to consider possible opportunities from the pandemic. Objective: To determine the stressors on residents as well as the opportunities that arose from the COVID-19 pandemic across multiple specialities in Singapore. Methods: A cross-sectional survey among SingHealth residents was conducted between July and September 2020. The survey assessed the balance between service and training during hospital postings, the pandemic's influence on examination and teaching, the psychological impact of the pandemic, the level of burnout, and the effect on morale of residents during the pandemic. Results: The response rate was 27.1% (253 of 934). Out of the 253 residents, 136 (53.8%) felt stressed during the pandemic. Concerns about family's health and safety pertaining to potential COVID-19 infection, progression in training, and completion of examinations were the top 3 stressors. One-hundred and three residents (40.7%) had their training disrupted either by being placed in an interim posting not part of their residency requirements or being deployed to care for patients with COVID-19. Although administrative support and information for virtual teaching were sufficient, only 108 (42.7%) agreed it had the same value as face-to-face sessions. Despite the challenges, 179 (70.8%) thought that experiencing this crisis provided more meaning in their career. Conclusions: The COVID-19 pandemic has brought about challenges and learning opportunities for residents.

Clinical outcomes in end stage renal disease on dialysis and severe coronary artery disease: A real-world study.

BACKGROUND: The optimal management of patients with end-stage renal disease (ESRD) on dialysis with severe coronary artery disease (CAD) has not been determined. METHODS: Between 2013 and 2017, all patients with ESRD on dialysis who had left main (LM) disease, triple vessel disease (TVD) and/or severe CAD for consideration of coronary artery bypass graft (CABG) were included. Patients were divided into 3 groups based on final treatment modality: CABG, percutaneous coronary intervention (PCI), optimal medical therapy (OMT). Outcome measures include in-hospital, 180-day, 1-year and overall mortality and major adverse cardiac events (MACE). RESULTS: In total, 418 patients were included (CABG 11.0%, PCI 65.6%, OMT 23.4%). Overall, 1-year mortality and MACE rates were 27.5% and 55.0% respectively. Patients who underwent CABG were significantly younger, more likely to have LM disease and have no prior heart failure. In this non-randomized setting, treatment modality did not impact on 1-year mortality, although the CABG group had significantly lower 1-year MACE rates (CABG 32.6%, PCI 57.3%, OMT 59.2%; CABG vs. OMT p < 0.01, CABG vs. PCI p < 0.001). Independent predictors of overall mortality include STEMI presentation (HR 2.31, 95% CI 1.38-3.86), prior heart failure (HR 1.84, 95% CI 1.22-2.75), LM disease (HR 1.71, 95% CI 1.26-2.31), NSTE-ACS presentation (HR 1.40, 95% CI 1.03-1.91) and increased age (HR 1.02, 95% CI 1.01-1.04). CONCLUSION: Treatment decisions for patients with severe CAD with ESRD on dialysis are complex. Understanding independent predictors of mortality and MACE in specific treatment subgroups may provide valuable insights into the selection of optimal treatment options.

Leveraging ChatGPT to aid patient education on coronary angiogram.

Natural-language artificial intelligence (AI) is a promising technological advancement poised to revolutionise the delivery of healthcare. We aim to explore the quality of ChatGPT in providing medical information regarding a common cardiology procedure-the coronary angiogram-and evaluating the potential opportunities and challenges of patient education through this natural-language AI model in the broader context. In a conversational manner, we asked ChatGPT common questions about undergoing a coronary angiogram according to the areas of: description of procedure, indications, contraindications, complications, alternatives, and follow-up. The strengths of the answers given by ChatGPT were that they were generally presented in a comprehensive and systematic fashion, covering most of the major information fields that are required. However, there were certain deficiencies in its responses. These include occasional factual inaccuracies, significant omissions, inaccurate assumptions, and lack of flexibility in recommendations beyond the line of questioning, resulting in the answers being focused solely on the topic. We would expect an increasing number of patients who may choose to seek information about their health through these platforms given their accessibility and perceived reliability. Consequently, it is prudent for healthcare professionals to be cognisant of both the strengths and deficiencies of such models. While these models appear to be good adjuncts for patients to obtain information, they cannot replace the role of a healthcare provider in delivering personalised health advice and management.

Impact of aortic annular size and valve type on haemodynamics and clinical outcomes after transcatheter aortic valve implantation.

INTRODUCTION: Data on patients with small aortic annuli (SAA) undergoing transcatheter aortic valve implantation (TAVI) are limited. We aim to describe the impact of aortic annular size, particularly SAA and TAVI valve type on valve haemodynamics, durability and clinical outcomes. METHOD: All patients in National Heart Centre Singapore who underwent transfemoral TAVI for severe symptomatic native aortic stenosis from July 2012 to December 2019 were included. Outcome measures include valve haemodynamics, prosthesis-patient mismatch (PPM), structural valve degeneration (SVD) and mortality. RESULTS: A total of 244 patients were included. The mean Society of Thoracic Surgeons score was 6.22±6.08, with 52.5% patients with small aortic annulus (<23mm), 33.2% patients with medium aortic annulus (23-26mm) and 14.3% patients with large aortic annulus (>26mm). There were more patients with self-expanding valve (SEV) (65.2%) versus balloon-expandable valve (BEV) (34.8%). There were no significant differences in indexed aortic valve area (iAVA), mean pressure gradient (MPG), PPM, SVD or mortality across all aortic annular sizes. However, specific to the SAA group, patients with SEV had larger iAVA (SEV 1.19±0.35cm2/m2 vs BEV 0.88±0.15cm2/m2, P<0.01) and lower MPG (SEV 9.25±4.88 mmHg vs BEV 14.17±4.75 mmHg, P<0.01) at 1 year, without differences in PPM or mortality. Aortic annular size, TAVI valve type and PPM did not predict overall mortality up to 7 years. There was no significant difference in SVD between aortic annular sizes up to 5 years. CONCLUSION: Valve haemodynamics and durability were similar across the different aortic annular sizes. In the SAA group, SEV had better haemodynamics than BEV at 1 year, but no differences in PPM or mortality. There were no significant differences in mortality between aortic annular sizes, TAVI valve types or PPM.

Subacute thyroiditis associated with COVID-19.

We report a case of a hospitalised patient with COVID-19 who developed subacute thyroiditis in association with SARS-COV-2 infection. The patient presented with tachycardia, anterior neck pain and thyroid function tests revealing hyperthyroidism together with consistent ultrasonographic evidence suggesting subacute thyroiditis. Treatment with corticosteroids resulted in rapid clinical resolution. This case illustrates that subacute thyroiditis associated with viruses such as SARS-CoV-2 should be recognised as a complication of COVID-19 and considered as a differential diagnosis when infected patients present with tachycardia without evidence of progression of COVID-19 illness.