Italian
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Diabetes and Vascular Disease Research 2007-Sep

Effect of glucose-insulin-potassium (GIK) infusion on biomarkers of cardiovascular risk in ST elevation myocardial infarction (STEMI): insight into the failure of GIK.

Solo gli utenti registrati possono tradurre articoli
Entra registrati
Il collegamento viene salvato negli appunti
Shailja V Parikh
Shuaib M Abdullah
Ellen C Keeley
Joaquin E Cigarroa
Tayo A Addo
John J Warner
Amit Khera
James A de Lemos
Darren K McGuire

Parole chiave

Astratto

Glucose-insulin-potassium (GIK) infusion favourably affects several biomarkers associated with risk in the setting of myocardial infarction (MI). In the context of a recent trial demonstrating no benefit of GIK, we assessed the impact of GIK on inflammation, neurohormonal activation and myonecrosis in ST elevation myocardial infarction (STEMI). In a local substudy of an international randomised trial, 25 patients with STEMI were randomised to receive a 24-hour infusion of GIK vs. no GIK. C-reactive protein (hs-CRP), N-terminal pro-brain natriuretic peptide (NT-proBNP) and troponin T (TnT) were assayed at baseline and at 24 hours. The two groups were well matched for baseline characteristics and infarct location. There were no statistically significant differences at baseline or at 24 hours in levels of hs-CRP, NT-proBNP or cTnT, with similar and significant increases in all three biomarkers by 24 hours in both groups. In conclusion, GIK had no discernible effect on biomarkers associated with inflammation, neurohormonal activation or myonecrosis, three pathways associated with adverse outcomes in STEMI.

Unisciti alla nostra
pagina facebook

Il database di erbe medicinali più completo supportato dalla scienza

  • Funziona in 55 lingue
  • Cure a base di erbe sostenute dalla scienza
  • Riconoscimento delle erbe per immagine
  • Mappa GPS interattiva - tagga le erbe sul luogo (disponibile a breve)
  • Leggi le pubblicazioni scientifiche relative alla tua ricerca
  • Cerca le erbe medicinali in base ai loro effetti
  • Organizza i tuoi interessi e tieniti aggiornato sulle notizie di ricerca, sperimentazioni cliniche e brevetti

Digita un sintomo o una malattia e leggi le erbe che potrebbero aiutare, digita un'erba e osserva le malattie ei sintomi contro cui è usata.
* Tutte le informazioni si basano su ricerche scientifiche pubblicate

Google Play badgeApp Store badge