| Literature DB >> 23702814 |
Luis Cláudio Lemos Correia1, Mariana Brito, Felipe Kalil, Michael Sabino, Guilherme Garcia, Felipe Ferreira, Iracy Matos, Peter Jacobs, Liliana Ronzoni, Márcia Noya-Rabelo.
Abstract
BACKGROUND: An adequate door-to-balloon time (<120 minutes) is the necessary condition for the efficacy of primary angioplasty in infarction to translate into effectiveness.Entities:
Mesh:
Year: 2013 PMID: 23702814 PMCID: PMC3998180 DOI: 10.5935/abc.20130108
Source DB: PubMed Journal: Arq Bras Cardiol ISSN: 0066-782X Impact factor: 2.000
Population characteristics
| Age (years) | 60 ± 13 |
| Male gender | 39 (78%) |
| Skin color black/mixed | 21 (42%) |
| Non-business hours (5pm-7am) | 24 (48%) |
| Weekends | 15 (30%) |
| Rush hour (7am-9am and 5pm-7pm) | 9 (18%) |
| Diabetes mellitus | 14 (28%) |
| Previous coronary artery disease | 6 (12%) |
| Time of onset of symptoms at arrival | 5.0 (1.1 - 6.0) |
| Anterior infarction | 27 (54%) |
| Magnitude of ST elevation (mm) | 3.1 (1.5 - 4.4) |
| Killip class > 1 | 6 (12%) |
| GRACE score | 139 (114 - 158) |
Figure 1Comparison of door-to-balloon time means at each sequential group of 10 patients, showing a progressive reduction on times after protocol implementation.
Evolution of the door-to-balloon time and of its two main components, according to periods relative to the implementation of a care protocol
| Door-to-balloon | 200 ± 77 | 142 ± 78 | 150 ± 50 | 131 ± 37 | 116 ± 29 | 42 |
| Door-to-diagnosis | 30 ± 6.9 | 11 ± 3.6 | 15 ± 7.1 | 10 ± 22 | 8.5 ± 2.7 | 72 |
| Diagnosis-to-balloon | 170 ± 70 | 131 ± 78 | 135 ± 41 | 109 ± 12 | 107 ± 7.9 | 37 |
Pre-protocol corresponds to the 10 patients before protocol implementation; each subsequent period corresponds to 10 sequential patients. P values were not calculated for the differences between groups, because this is a population, not a population sample.
Figure 2Comparison of the proportion of individuals with adequate door-to-balloon time (< 120 minutes) at each sequential group of 10 patients, showing a favorable outcome after protocol implementation.
Figure 3Linear regression analysis describing the influence of each patient in the time sequence (variable X, predictive) on the door‑to‑balloon time (variable Y, endpoint).
Association of the door-to-balloon time with patients characteristics described as dichotomous variables
| Female gender | 190 ± 86 | 136 ± 49 | 0.01 |
| Skin color black/mixed | 48 ± 11 | 59 ± 12 | 0.58 |
| Night shift | 174 ± 68 | 124 ± 49 | 0.007 |
| Weekends | 174 ± 84 | 138 ± 49 | 0.08 |
| Rush hour | 156 ± 36 | 149 ± 70 | 0.77 |
* p value calculated using the non-paired Student t test.
Correlation of the door-to-balloon time with patients characteristics described as numerical variables
| Age | - 0.07 | 0.63 |
| Creatinine | - 0.02 | 0.89 |
| Time of onset of symptoms | 0.45 | 0.001 |
| Magnitude of ST elevation | 0.03 | 0.87 |
| GRACE score | - 0.10 | 0.51 |