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BackgroundRecent evidence suggests hospitals fail to meet guideline specified time to percutaneous coronary intervention (PCI) for a proportion of ST elevation myocardial infarction (STEMI) presentations. Implicit in achieving this time is the rapid assembly of crucial catheter laboratory staff. As a proof-of-concept, we set out to create regional maps that graphically show the impact of traffic congestion and distance to destination on staff recall travel times for STEMI, thereby producing a resource that could be used by staff to improve reperfusion time for STEMI.MethodsTravel times for staff recalled to one inner and one outer metropolitan hospital at midnight, 6 p.m., and 7 a.m. were estimated using Google Maps Application Programming Interface. Computer modeling predictions were overlaid on metropolitan maps showing color coded staff recall travel times for STEMI, occurring within non-peak and peak hour traffic congestion times.ResultsInner metropolitan hospital staff recall travel times were more affected by traffic congestion compared with outer metropolitan times, and the latter was more affected by distance. The estimated mean travel times to hospital during peak hour were greater than midnight travel times by 13.4 min to the inner and 6.0 min to the outer metropolitan hospital at 6 p.m. (p < 0.001). At 7 a.m., the mean difference was 9.5 min to the inner and 3.6 min to the outer metropolitan hospital (p < 0.001). Only 45% of inner metropolitan staff were predicted to arrive within 30 min at 6 p.m. compared with 100% at midnight (p < 0.001), and 56% of outer metropolitan staff at 6 p.m. (p = 0.021).ConclusionOur results show that integration of map software with traffic congestion data, distance to destination and travel time can predict optimal residence of staff when on-call for PCI.

Background: Glycoprotein IIb/IIIa inhibitors (GPIs) are a treatment option in the management of acute coronary syndromes (ACSs). Evidence supporting the use of GPIs predates trials establishing the benefits of P2Y12 inhibitors, routine early invasive therapy, and thrombectomy devices in patients with ACS. Objective: The aim of this study was to determine trends in GPI use and their associated outcomes in contemporary practice. Methods: We assessed GPI use in patients with ACS undergoing percutaneous coronary intervention (PCI) from the Melbourne Interventional Group registry (2005-2013). The primary endpoint was the 30-day incidence of major adverse cardiovascular events (MACE). The safety endpoint was in-hospital major bleeding. Results: GPIs were used in 40.5% of 12 357 patients with ACS undergoing PCI. GPI use decreased over the study period ( P for trend <0.0001). Patients were more likely to receive GPIs if they were younger, presented with a ST-elevation myocardial infarction (STEMI), had more complex (B2/C-type) lesions, and when thrombectomy devices were used (all P < 0.0001). MACE were higher in patients receiving GPI (4.9% vs 4.1%, P = 0.03). Propensity score matching revealed no difference in 30-day mortality and 30-day MACE (odds ratio [OR] = 1.00; 95% CI = 0.99-1.004 and OR = 1.01; 95% CI = 0.99-1.02, respectively). GPI use was associated with more bleeding complications (3.6% vs 1.8%, P < 0.0001). Conclusion and Relevance: GPI use in ACS patients undergoing PCI has declined, and use appears to be dictated by ACS type and lesion complexity, as opposed to high-risk comorbidities. GPI use was associated with a doubling in bleeding complications.

Aims We sought to investigate if sex disparity exists for secondary prevention pharmacotherapy following acute coronary syndrome (ACS) and impact on long-term clinical outcomes. Methods and results We analysed data on medical management 30-day post-percutaneous coronary intervention (PCI) for ACS in 20 976 patients within the multicentre Melbourne Interventional Group registry (2005–2017). Optimal medical therapy (OMT) was defined as five guideline-recommended medications, near-optimal medical therapy (NMT) as four medications, sub-optimal medical therapy (SMT) as ≤3 medications. Overall, 65% of patients received OMT, 27% NMT and 8% SMT. Mean age was 64 ± 12 years; 24% (4931) were female. Women were older (68 ± 12 vs. 62 ± 12 years) and had more comorbidities. Women were less likely to receive OMT (61% vs. 66%) and more likely to receive SMT (10% vs. 8%) compared to men, P &lt; 0.001. On long-term follow-up (median 5 years, interquartile range 2–8 years), women had higher unadjusted mortality (20% vs. 13%, P &lt; 0.001). However, after adjusting for medical therapy and baseline risk, women had lower long-term mortality [hazard ratio (HR) 0.88, 95% confidence interval (CI) 0.79–0.98; P = 0.02]. NMT (HR 1.17, 95% CI 1.05–1.31; P = 0.004) and SMT (HR 1.79, 95% CI 1.55–2.07; P &lt; 0.001) were found to be independent predictors of long-term mortality. Conclusion Women are less likely to be prescribed optimal secondary prevention medications following PCI for ACS. Lower adjusted long-term mortality amongst women suggests that as well as baseline differences between gender, optimization of secondary prevention medical therapy amongst women can lead to improved outcomes. This highlights the need to focus on minimizing the gap in secondary prevention pharmacotherapy between sexes following ACS.