scholarly journals Does helicopter transport delay prehospital transfer for STEMI patients in rural areas? Findings from the CRAC France PCI registry

2019 ◽  
Vol 9 (8) ◽  
pp. 958-965 ◽  
Author(s):  
Radwan Hakim ◽  
Eric Revue ◽  
Christophe Saint Etienne ◽  
Pierre Marcollet ◽  
Stephan Chassaing ◽  
...  

Aims: The aim of this study was to analyse delays in emergency medical system transfer of ST-segment elevation myocardial infarction (STEMI) patients to percutaneous coronary intervention (PCI) centres according to transport modality in a rural French region. Methods and results: Data from the prospective multicentre CRAC / France PCI registry were analysed for 1911 STEMI patients: 410 transferred by helicopter and 1501 by ground transport. The primary endpoint was the percentage of transfers with first medical contact to primary percutaneous coronary intervention within the 90 minutes recommended in guidelines. The secondary endpoint was time of first medical contact to primary percutaneous coronary intervention. With helicopter transport, time of first medical contact to primary percutaneous coronary intervention in under 90 minutes was less frequently achieved than with ground transport (9.8% vs. 37.2%; odds ratio 5.49; 95% confidence interval 3.90; 7.73; P<0.0001). Differences were greatest for transfers under 50 km (13.7% vs. 44.7%; P<0.0001) and for primary transfers (22.4% vs. 49.6%; P<0.0001). The median time from first medical contact to primary percutaneous coronary intervention and from symptom onset to primary percutaneous coronary intervention (total ischaemic time) were significantly higher in the helicopter transport group than in the ground transport group (respectively, 137 vs. 103 minutes; P<0.0001 and 261 vs. 195 minutes; P<0.0001). There was no significant difference in inhospital mortality between the helicopter and ground transport groups (6.9% vs. 6.6%; P=0.88). Conclusions: Helicopter transport of STEMI patients was five times less effective than ground transport in maintaining the 90-minute first medical contact to primary percutaneous coronary intervention time recommended in guidelines, particularly for transfer distances less than 50 km.

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
K Yamaji ◽  
S Kohsaka ◽  
T Inohara ◽  
Y Numasawa ◽  
H Ishii ◽  
...  

Abstract Background Despite progress in acute myocardial infarction (MI) treatment, data on geographical disparities in its care remain limited. Purpose We aimed to assess the discrepancy by population density (PD) on the quality and clinical outcomes of patients with primary percutaneous coronary intervention (PCI) after ST-segment elevation MI (STEMI). Methods The J-PCI registry is a prospective procedural registry conducted by the Japanese Association of Cardiovascular Intervention and Therapeutics (CVIT) to assure the quality of delivered care. Between January 2014 and December 2018, 209,521 patients underwent PCI for STEMI in 1,126 institutes. Population of administrative municipal-level districts was determined through the complete population census. The patients were divided into tertiles according to the PD of the PCI institution location (low: &lt;951.7/km2, n=69,797; middle: 951.7–4,729.7/km2, n=69,750; high: ≥4,729.7/km2, n=69,974). Results Patients treated in high PD administrative districts were younger (low: 69.1±12.9, middle: 68.7±12.9, high: 68.0±13.1) and likely to be male (low: 75.6%, middle: 76.0%, high: 76.6%). No significant correlation was observed between PD and door-to-balloon time (DTB: regression coefficients: 0.036 per 1000 people/km2, 95% CI: −0.232 to 0.304, P=0.79). Patients treated in low PD areas had higher crude in-hospital mortality rates than those treated in high PD areas (low: 2.89%, middle: 2.60%, high: 2.38%; P&lt;0.001). Moreover, PD and in-hospital mortality had a significantly inverse association, before and after adjusting for baseline characteristics (crude odds ratio [OR]: 0.983 per 1,000/km2, 95% confidence interval [CI]: 0.973–0.992, P&lt;0001; adjusted OR: 0.980 per 1,000/km2, 95% CI: 0.964–0.996, P=0.01, respectively). Higher PD districts had more operators per institute (low: 6, interquartile range [IQR] 3–10; middle: 7, IQR 3–13; high: 8, IQR 5–13, P&lt;0.001), suggesting an inverse association with in-hospital mortality (OR: 0.992, 95% CI: 0.986–0.999, P=0.03). Conclusions Marked geographical inequality was observed in immediate case fatality; patients treated in population-dense areas had a lower in-hospital mortality than those treated in less dense areas. Variation in the number of operators per institute, rather than traditional quality indicators (e.g. DTB) may explain the difference in in-hospital mortality. Funding Acknowledgement Type of funding source: None


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