| Literature DB >> 33800429 |
Angel Liviu Trifan1, Liliana Dragomir1, Mihaela Anghele1, Eva Maria Elkan1, Sorina Munteanu1, Cosmina Moscu1, Valerian-Ionuț Stoian1, Anca Telehuz1, Monica Laura Zlati2, Mihaiela Lungu1, Doina Carina Voinescu1, Diana Carmen Cimpoesu3, Gabriela Stoleriu1,4, Ion Sandu5,6,7, Violeta Sapira1.
Abstract
The aim of this study was to assess the delays that can potentially occur in the emergency transfer of patients with ST-elevation myocardial infarction (STEMI) to percutaneous coronary intervention (PCI) centers. We conducted a retrospective study using the medical reports pertaining to 97 patients who presented to the Emergency Department of the Emergency County Hospital of Galati during the year of 2018 with the diagnosis of STEMI and meeting eligibility criteria for PCI, thus warranting transfer to a hospital with PCI facilities. The pick-up time of patients diagnosed with acute myocardial infarction from the emergency department by the transfer crew is significantly shorter (p < 0.05) than those transferred by air, regardless of the PCI center to which the transfer was performed, Iasi or Bucharest, when compared to the time required to process the patients transferred by land to the same PCI centers. The results of the study shows that the helicopter use for transferring acute myocardial infarction patients to a PCI center must be considered, given the distance between non-PCI and PCI centers is over 200 km.Entities:
Keywords: ST-segment elevation myocardial infarction; ground emergency medical systems; helicopter emergency medical service; percutaneous coronary intervention
Year: 2021 PMID: 33800429 PMCID: PMC8000528 DOI: 10.3390/healthcare9030299
Source DB: PubMed Journal: Healthcare (Basel) ISSN: 2227-9032
Characteristics of the study population.
| Patients Characteristics | HEMS ** | GEMS *** | ||||
|---|---|---|---|---|---|---|
| Bucharest | Iasi | Bucharest | Iasi | |||
| Distance, km | 190 | 194 | 240 | 226 | ||
| Nr. of patients, no * (%) | 30 (30.93%) | 15 (15.46%) | 21 (21.65%) | 31 (31.96%) | 0.543 a | |
| Age (M ± SD) | 63.63 ± 8.07 | 65.67 ± 13.83 | 61.90 ± 15.53 | 64 ± 12.39 | 0.659 b | |
| Sex, no* (%) | Male | 24 (80.00%) | 10 (66.66%) | 13 (61.90%) | 23 (74.19%) | 0.488 c |
| Female | 6 (20.00%) | 5 (33.33%) | 8 (38.09%) | 8 (25.80%) | ||
| Environment, no * (%) | Urban | 32 (71.11%) | 35 (67.30%) | 0.686 c | ||
| Rural | 13 (28.89%) | 17 (32.69%) | ||||
| Fibrinolysis, no * (% of 97) | YES | 25 (25.77%) | 6 (6.19%) | 18 (18.56%) | 2 (2.06%) | 0.003 c |
| NO | 5 (5.15%) | 9 (9.28%) | 3 (3.09%) | 29 (29.90%) | ||
| Comorbidities, no * (% of 97) | Current smoker | 4 (4.12%) | 1 (1.03%) | 1 (1.03%) | 1 (1.03%) | 0.244 d |
| Ischemic heart disease | 5 (5.15%) | 4 (4.12%) | 5 (5.15%) | 4 (4.12%) | 0.734 c | |
| Coronary angioplasty in the past | 1 (1.03%) | 0 (0%) | 0 (0%) | 0 (0%) | 0.464 d | |
| Hypertension | 13 (13.40%) | 4 (4.12%) | 6 (6.19%) | 11 (11.34%) | 0.601 c | |
| Acute pulmonary oedema | 1 (1.03%) | 1 (1.03%) | 0 (0%) | 0 (0%) | 0.213 d | |
| Obesity | 9 (9.28%) | 5 (5.15%) | 1 (1.03%) | 3 (3.09%) | 0.003 c | |
| Atrial Fibrillation | 1 (1.03%) | 0 (0%) | 0 (0%) | 2 (2.06%) | 1.000 d | |
| Neoplastic diseases | 2 (2.06%) | 0 (0%) | 0 (0%) | 0 (0%) | 0.213 d | |
| Diabetes | 2 (2.06%) | 2 (2.06%) | 3 (3.09%) | 5 (5.15%) | 0.333 c | |
| Dyslipidemia | 10 (10.31%) | 6 (6.19%) | 3 (3.09%) | 9 (9.28%) | 0.176 c | |
| Permanent cardiostimulation | 0 (0%) | 1 (1.03%) | 0 (0%) | 0 (0%) | 0.464 d | |
| Atrioventricular block grade III | 0 (0%) | 1 (1.03%) | 0 (0%) | 2 (2.06%) | 1.000 d | |
| Chronic kidney disease | 0 (0%) | 0 (0%) | 1 (1.03%) | 3 (3.09%) | 0.121 d | |
| Ischemia localization, no * (% of 97) | Anteroseptal | 5 (5.15%) | 0 (0%) | 3 (3.09%) | 3 (3.09%) | 0.947 c |
| Inferior | 4 (4.12%) | 1 (1.03%) | 2 (2.06%) | 8 (8.25%) | 0.386 c | |
| Infero-posterior | 2 (2.06%) | 3 (3.09%) | 4 (4.12%) | 2 (2.06%) | 0.947 c | |
| Infero-lateral | 10 (10.31%) | 5 (5.15%) | 3 (3.09%) | 5 (5.15%) | 0.038 c | |
| Anterior | 7 (7.22%) | 5 (5.15%) | 7 (7.22%) | 11 (11.34%) | 0.398 c | |
| Postero-lateral | 2 (2.06%) | 1 (1.03%) | 2 (2.06%) | 2 (2.06%) | 1.000 d | |
| Killip classification, no * (% of 97) | Killip I | 20 (20.62%) | 8 (8.25%) | 12 (12.37%) | 19 (19.59%) | 0.982 d |
| Killip II | 7 (7.22%) | 4 (4.12%) | 5 (5.15%) | 9 (9.28%) | ||
| Killip III | 0 (0%) | 3 (3.09%) | 1 (1.03%) | 2 (2.06%) | ||
| Killip IV | 3 (3.09%) | 0 (0%) | 3 (3.09%) | 1 (1.03%) | ||
* no—number of patients, ** GEMS—Ground Emergency Medical Services, *** HEMS—Helicopter Emergency Medical Services, M—mean, SD—standard deviation, the p-value was obtained with: a—binomial test, b—Student t test, c—Chi-Square test, d—Fisher’s Exact test.
Comparative analysis of the GEMS and HEMS transfer times of STEMI patients to Bucharest and Iasi PCI centers.
| PCI Center | T1 (min) | T2 (min) | Comparative Analysis | T1 | T2 |
|---|---|---|---|---|---|
|
| 8(7–45) | 57.50(54–60) | 0.000 a | 0.000 b | |
| 21.27 ± 20.42 | 57.26 ± 4.29 | ||||
|
| 56(38–83) | 191(185–201) | |||
| 80.57 ± 80.78 | 195.38 ± 30.42 | ||||
| 44(5–67) | 60(55–65) | 0.004 a | 0.000 b | ||
| 37.67 ± 32.35 | 60.67 ± 7.80 | ||||
|
| 73(47–93) | 222(205–248) | |||
| 80.29 ± 65.55 | 224.65 ± 28.48 | ||||
|
| 8(7–53) | 58(54–62) | 0.000 a | 0.000 b | |
| 26.73 ± 25.86 | 58.40 ± 5.84 | ||||
|
| 71.50(38.50–89.50) | 207.50(192.50–234.50) | |||
| 80.40 ± 71.32 | 212.83 ± 32.40 |
B—Bucharest PCI center, IS—Iasi PCI center, the p-value was obtained with: a—Mann–Whitney test, b—Student t test.
Figure 1Response time (T1) when taking the patient from the emergency department for transfer by air or land.
Figure 2Effective air and ground transfer time (T2) to PCI centers.