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Impact of Regional Collaborative Network on the Rescue of Patients with ST-Elevation Myocardial Infarction First Visit to non-PCI Hospitals.
Article em En | MEDLINE | ID: mdl-37632973
ABSTRACT

Objective:

To assess the effect of a regional collaborative network on the treatment of ST-elevation myocardial infarction (STEMI) patients first admitted to non- percutaneous coronary intervention (PCI) hospitals.

Methods:

Using data from Kunshan Hospital of Traditional Chinese Medicine's chest pain center database, patients were grouped based on the establishment of the regional collaborative rescue network. Key timepoints and in-hospital complications were analyzed.

Results:

A total of 152 ST-elevation myocardial infarction patients were included in the study. Compared to control group, symptom-to-balloon time (S-B), time of first medical contact to balloon and inter-hospital referral time in observation group were significantly shorter [(314.03 ± 209.26) min vs (451.27 ± 290.44) min, P = .001], [(115.32 ± 54.73) min vs (191.67 ± 130.30) min, P = .001], [(55.09 ± 37.23) min vs (112.67 ± 95.90) min, P = .001], but time of symptom to first medical contact were not statistically significant[(210.27±217.07) min vs (239.61 ± 200.92) min, P = .136].The incidence of heart failure and total complications during hospitalization decreased [7 (8.14%) vs 13 (19.70%), P = .037] and [14 (16.28%) vs 24 (36.36%), P = .004]. However no statistically significant difference were observed in rate of death during hospitalization [2 (2.33%) vs 3 (4.55%), P = .450], ventricular fibrillation [2 (2.33%) vs 3 (4.55%), P = .450], left ventricular thrombosis [2 (2.33%) vs 4 (6.06%), P = .244] and recurrent myocardial infarction[1 (1.16%) vs 1 (1.52%), P = .851].

Conclusions:

The regional cooperative rescue network notably reduces ischemic and referral times for STEMI patients, lowering the incidence of heart failure during their hospital stay.
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Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Buscar no Google
Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article