• Intern Emerg Med · Feb 2010

    Acid-base imbalance in uncomplicated ST-elevation myocardial infarction: the clinical role of tissue acidosis.

    • Chiara Lazzeri, Serafina Valente, Marco Chiostri, Claudio Picariello, and Gian Franco Gensini.
    • Intensive Cardiac Coronary Unit, Heart and Vessel Department, Azienda Ospedaliero-Universitaria Careggi, Viale Morgagni 85, 50134, Florence, Italy. lazzeric@libero.it
    • Intern Emerg Med. 2010 Feb 1;5(1):61-6.

    AbstractLittle information is available on acid-base imbalance in uncomplicated ST-elevation myocardial infarction (STEMI) submitted to primary percutaneous intervention (PCI). We therefore assessed acid-base imbalance in 257 consecutive uncomplicated STEMI patients submitted to PCI to determine whether its evaluation could help in identifying patients at higher risk for in-hospital complications (acute pulmonary edema and dysrhythmias). A basic metabolic profile was performed at hospital admission, that is before PCI. After PCI, we measured: creatinine, uric acid and NT-pro BNP and serum electrolytes. Peak troponin I was also considered. Acidemia was present in 11 patients (4.2%), HCO(3) < 22 in 62 (24.1%). Base excess < -3 was detectable in 70 patients (27.2%), anion gap > 12 in 13 (5.1%), Cl/Na < 0.79 in 93 patients (38.5%). Patients with a Cl/Na < 0.79 had a lower LVEF (p = 0.042) and higher values of NT-pro-BNP (p = 0.019) and of latency (p = 0.029) together with a higher length of stay (p = 0.017) and a higher incidence of in-hospital complications (p = 0.017). At backward stepwise regression analysis, the following variables resulted independent predictors of in-hospital complications: base excess OR 1.47 (95% CI 1.04-2.10) p = 0.031; Cl/Na ratio O.R. 1.85 (95% CI 1.05-3.27) p = 0.035. In STEMI patients submitted to mechanical revascularization the evaluation of acid-base status and, in particular the detection of even mild degrees of acidosis may help in risk stratification for in-hospital complications. A Cl/Na < 0.79 ratio and a base excess are independent predictors for in-hospital complications.

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