| Literature DB >> 32676681 |
Karl Heinrich Scholz1, Björn Lengenfelder2, Christian Thilo3, Andreas Jeron4, Stefan Stefanow5, Uwe Janssens6, Johann Bauersachs7, P Christian Schulze8, Klaus Dieter Winter9, Jörg Schröder10, Jürgen Vom Dahl11, Nicolas von Beckerath12, Karlheinz Seidl13, Tim Friede14, Thomas Meyer15.
Abstract
AIMS: To assess the impact of the lockdown due to coronavirus disease 2019 (COVID-19) on key quality indicators for the treatment of ST-segment elevation myocardial infarction (STEMI) patients.Entities:
Keywords: COVID-19; Contact-to-balloon time; Key quality indicators; Mortality; Percutaneous coronary intervention (PCI); ST-segment elevation myocardial infarction (STEMI)
Mesh:
Year: 2020 PMID: 32676681 PMCID: PMC7364412 DOI: 10.1007/s00392-020-01703-z
Source DB: PubMed Journal: Clin Res Cardiol ISSN: 1861-0684 Impact factor: 5.460
Fig. 1Catchment area maps showing home postcodes for all STEMI patients included in the FITT-STEMI study (a) and regional hot spots of the COVID-19 outbreak during the initial phase of the epidemic in Germany (b). The maps depict the overlap of the two distributions particularly in the Lower Rhine area in North-West Germany
Baseline characteristics of the total study cohort of STEMI patients treated from January 2017 to March 2020 in 41 German hospitals participating in the FITT-STEMI trial
| Total study cohort | Patients included in the March months 2017/2018/2019 ( | Patients included in March 2020 ( | ||
|---|---|---|---|---|
| Demographic data | ||||
| Male gender ( | 11,558 (73%) | 953 (72%) | 277 (72%) | 0.960 |
| Age ± SD (years) (mean, SEM) ( | 63.9 ± 0.1 | 63.6 ± 0.4 | 64.5 ± 0.7 | 0.226 |
| Transport routes | ||||
| EMS | 12,070 (76.4%) | 1008 (75.8%) | 320 (82.7%) | 0.017 |
| Inter-facility transports | 1733 (11.0%) | 160 (12.0%) | 29 (7.5%) | |
| Self-referral | 1598 (10.1%) | 125 (9.4%) | 33 (8.5%) | |
| Intra-hospital infarct | 399 (2.5%) | 36 (2.7%) | 5 (1.3%) | |
| Clinical data | ||||
| Hypertension | 9245 (59%) | 791 (60%) | 229 (59%) | 0.903 |
| Diabetes mellitus | 2842 (18%) | 264 (20%) | 79 (20%) | 0.812 |
| Previous angina pectoris | 1604 (10%) | 147 (11%) | 31 (8%) | 0.083 |
| Hyperlipidemia | 4385 (28%) | 372 (28%) | 119 (31%) | 0.291 |
| Family history of cardiovascular events | 2979 (19%) | 225 (17%) | 74 (19%) | 0.317 |
| Current smoker | 6380 (40%) | 523 (39%) | 155 (40%) | 0.805 |
| Previous myocardial infarction | 1793 (11%) | 153 (12%) | 47 (12%) | 0.733 |
| Previous stroke | 681 (4%) | 53 (4%) | 17 (4%) | 0.723 |
| Previous angioplasty | 1936 (12%) | 160 (12%) | 58 (15%) | 0.125 |
| Previous CABG | 354 (2%) | 28 (2%) | 10 (3%) | 0.575 |
| Renal failure | 779 (5%) | 61 (5%) | 26 (7%) | 0.093 |
| Out-of-hospital cardiac arrest | 1461 (9%) | 127 (10%) | 41 (11%) | 0.545 |
| Cardiogenic shock | 1984 (13%) | 169 (13%) | 50 (13%) | 0.916 |
| TIMI risk score | 3.89 ± 0.02 | 3.88 ± 0.07 | 3.87 ± 1.31 | 0.464 |
| ECG (STEMI site) ( | ||||
| Anterior | 7044 (45%) | 601 (46%) | 176 (46%) | 0.978 |
| Inferior | 7414 (47%) | 603 (46%) | 175 (46%) | |
| Lateral | 965 (6%) | 83 (6%) | 22 (6%) | |
| LBBB | 271 (2%) | 32 (2%) | 10 (3%) | |
| Thrombolytic therapy ( | 122 (0.8%) | 10 (0.8%) | 3 (0.8%) | 0.964 |
| Primary PCI treatment ( | 14,186 (89.8%) | 1,205 (90.7%) | 352 (91.0%) | 0.864 |
| Hospital mortality ( | 1388 (8.8%) | 118 (8.9%) | 37 (9.6%) | 0.680 |
| Angiographic results | ||||
| No. coronary arteries narrowed ( | ||||
| 0 | 588 (4%) | 47 (4%) | 11 (3%) | 0.382 |
| 1 | 5185 (34%) | 447 (34%) | 129 (35%) | |
| 2 | 4538 (29%) | 367 (28%) | 120 (32%) | |
| 3 | 4981 (32%) | 431 (33%) | 110 (29%) | |
| LMCA | 96 (0.6%) | 5 (0.4%) | 3 (0.8%) | |
| CTO in NIRA ( | 1802 (12%) | 156 (12%) | 44 (11%) | 0.829 |
| Recanalized vessel ( | ||||
| LAD | 6271 (40%) | 541 (45%) | 154 (44%) | 0.521 |
| RCA | 5685 (36%) | 480 (40%) | 136 (39%) | |
| LCX | 1939 (12%) | 165 (14%) | 52 (15%) | |
| LMCA | 179 (1%) | 10 (1%) | 6 (2%) | |
| Graft | 89 (1%) | 8 (1%) | 4 (1%) | |
| TIMI angiographic flow grade before PCI ( | ||||
| Score 0–2 | 13,284 (92%) | 1138 (92) | 325 (91%) | 0.358 |
| Score 3 | 1185 (8%) | 92 (7%) | 32 (9%) | |
| TIMI angiographic flow grade after PCI ( | ||||
| Score 0–2 | 876 (6%) | 78 (6%) | 20 (6%) | 0.591 |
| Score 3 | 13,298 (94%) | 1127 (94%) | 332 (94%) | |
Data are presented as percentages or means and standard errors of the mean for the total study cohort. Angiographic data refer to patients in whom an angiogram was performed. A comparison between the subgroups of patients treated in March 2020 at the peak of the COVID-19 crisis during the German lockdown and the preceding three March months from 2017 to 2019 is included
CABG coronary artery bypass grafting, CTO chronic total occlusion, ECG electrocardiogram, EMS transport by emergency medical service, LAD left anterior descending artery, LBBB left bundle branch block, LCX left circumflex artery, LMCA left main coronary artery, NIRA non-infarct-related arteries, PCI percutaneous coronary intervention, RCA right coronary artery, SD standard deviation, TIMI Thrombolysis in Myocardial Infarction
Fig. 2Modes of admission to hospitals for STEMI patients during the corona virus crisis. a Total numbers of STEMI patients admitted to PCI hospitals by the indicated modes in March 2020 compared to the March months in the three preceding years 2017–2020. b Increased percentage of patients admitted by emergency medical service (EMS) during the COVID-19 outbreak in March 2020 as compared to the previous March months in 2017–2019, whereas the proportion of non-EMS transports was reduced
Changes in reported key quality indicators for EMS-transported and PCI-treated STEMI patients who had treatment times from first medical contact to balloon inflation of equal to or less than 360 min
| Total study cohort ( | Patients treated in the March months 2017–2019 ( | Patients treated in the March month 2020 ( | Difference [95%-confidence interval] | ||
|---|---|---|---|---|---|
| Symptom-to-contact time (min) ( | 159.1 ± 2.3 | 163.1 ± 7.9 | 150.4 ± 13.6 | 12.7 [− 19.1; 44.5] | 0.433 |
| Duration of EMS at scene ( | 23.1 ± 0.1 | 23.1 ± 0.4 | 22.5 ± 0.8 | 0.6 [− 1.1; 2.3] | 0.502 |
| Transport time by EMS ( | 16.8 ± 0.1 | 16.7 ± 0.3 | 17.0 ± 0.6 | − 0.2 [− 1.5; 1.0] | 0.705 |
| Contact-to-door time (min) ( | 39.9 ± 0.2 | 39.9 ± 0.5 | 39.4 ± 1.0 | 0.5 [− 1.6; 2.7] | 0.629 |
| Door-to-cath time (min) ( | 19.8 ± 0.3 | 18.7 ± 0.9 | 18.9 ± 1.7 | − 0.2 [− 4.0; 3.7] | 0.925 |
| Cath-to-puncture time (min) ( | 13.2 ± 0.1 | 12.9 ± 0.3 | 14.1 ± 0.5 | − 1.2 [− 2.3; − 0.1] | 0.029 |
| Puncture-to-balloon (min) ( | 20.4 ± 0.1 | 19.7 ± 0.4 | 20.2 ± 0.8 | − 0.47 [− 2.21; 1.27] | 0.594 |
| Door-to-balloon time (min) ( | 53.0 ± 0.3 | 51.3 ± 1.1 | 53.2 ± 2.0 | − 1.9 [− 6.3; 2.6] | 0.407 |
| Contact-to-balloon time (min) ( | 92.9 ± 0.4 | 91.3 ± 1.2 | 92.6 ± 2.2 | − 1.3 [− 6.2; 3.5] | 0.592 |
| ECG before arrival at the hospital ( | 10,348 (97%) | 876 (97%) | 261 (97%) | 0.2 [− 2.2; 2.7] | 0.846 |
| Pre-announcement by telephone ( | 9,037 (85%) | 774 (86%) | 231 (86%) | 0.1 [− 4.7; 4.8] | 0.979 |
| Emergency department bypass ( | 7,016 (66%) | 613 (68%) | 179 (66%) | 1.5 [− 4.9; 7.9] | 0.641 |
| Contact-to-balloon time ≤ 90 min ( | 6,235 (58.6%) | 527 (58.3%) | 156 (57.8%) | 0.5 [− 6.2; 7.2] | 0.879 |
| Hospital mortality ( | 914 (8.6%) | 83 (9.2%) | 23 (8.5%) | 0.7 [− 3.2; 4.5] | 0.739 |
Data are given as numbers and percentages or means and standard errors of the mean
Fig. 3Percentages of achieved key quality indicators for STEMI treatment over the 39-month period from January 2017 to March 2020 in all the 41 participating FITT-STEMI study centres (a) and a subgroup thereof with seven centers in the Lower Rhine area heavily engaged in fighting the SARS-CoV-2 pandemic (b). March months are indicated by the red letter “M”. The last point in each curve corresponds to the lockdown month with high COVID-19 case numbers (March 2020)
Subgroup analysis of key quality indicators for STEMI management in seven FITT-STEMI clinics in the Lower Rhine areal located in a hot spot of COVID-19 outbreak during the pandemic as compared to the three preceding March months
| STEMI patients treated in the Lower Rhine area ( | Patients treated in the March month 2017/2018/ 2019 ( | Patients treated in March month 2020 ( | 95%-confidence interval | ||
|---|---|---|---|---|---|
| Symptom-to-contact time (min) ( | 155.1 ± 6.1 | 178.1 ± 22.2 | 105.4 ± 23.1 | 72.7 [− 17.5; 162.8] | 0.113 |
| Duration of EMS at scene ( | 21.8 ± 0.3 | 22.1 ± 0.9 | 21.7 ± 2.4 | 0.3 [− 3.8; 4.5] | 0.873 |
| Transport time by EMS ( | 14.7 ± 0.2 | 15.1 ± 0.7 | 12.1 ± 1.2 | 2.97 [0.04; 5.90] | 0.047 |
| Contact-to-door time (min) ( | 36.6 ± 0.3 | 37.5 ± 1.1 | 33.9 ± 2.5 | 3.6 [− 1.4; 8.7] | 0.190 |
| Door-to-cath time (min) ( | 19.8 ± 1.1 | 18.2 ± 2.5 | 23.4 ± 6.0 | − 5.2 [− 16.7; 6.3] | 0.376 |
| Cath-to-puncture time (min) ( | 13.3 ± 0.2 | 13.4 ± 0.6 | 14.0 ± 1.3 | − 0.6 [− 3.5; 2.2] | 0.657 |
| Puncture-to-balloon (min) ( | 19.0 ± 0.3 | 17.2 ± 0.7 | 18.9 ± 1.5 | − 1,7 [− 4.8; 1.35] | 0.258 |
| Door-to-balloon time (min) ( | 51.1 ± 0.8 | 48.7 ± 2.5 | 56.3 ± 6.0 | − 7.6 [− 19.2; 4.0] | 0.200 |
| Contact-to-balloon time (min) ( | 87.6 ± 0.8 | 86.3 ± 2.6 | 90.2 ± 6.3 | − 3.9 [− 16.0; 8.2] | 0.524 |
| ECG before arrival at the hospital ( | 1474 (95.8%) | 132 (93.6%) | 33 (94.3%) | − 0.6 [− 9.4; 8.0] | 0.884 |
| Pre-announcement by telephone ( | 1253 (81.5%) | 114 (80.9%) | 27 (77.1%) | 3.7 [− 11.6; 19.1] | 0.623 |
| Emergency department bypass ( | 847 (55.1%) | 85 (60.3%) | 18 (51.4%) | 8.9 [− 9.6; 27.3] | 0.341 |
| Contact-to-balloon time ≤ 90 min ( | 991 (64.4%) | 91 (64.5%) | 22 (62.9%) | 1.7 [− 19.5; 16.2] | 0.853 |
| Hospital mortality ( | 135 (8.8%) | 12 (8.5%) | 4 (11.4%) | − 2.9 [− 14.4; 8.6] | 0.591 |
Data and patients included are given as numbers or means and percentages or standard errors of the mean including the 95%-confidence interval for EMS-transported and PCI-treated STEMI patients with contact-to-balloon times reported equal to or less than 360 min
Fig. 4Monthly contact-to-balloon times, as presented by their means and standard errors of the mean, in STEMI patients treated within 360 min from first medical contact to balloon inflation in the total study group (a) and the subgroup of clinics in the Lower Rhine area with high case numbers of COVID-19 (b). The last point in each curve corresponds to the lockdown March month 2020 with a high prevalence of COVID-19 in Germany