Handheld Capillary Blood Lactate Analyzer as an Accessible and Cost-Effective Prognostic Tool for the Assessment of Death and Heart Failure Occurrence during Long-Term Follow-Up.
Grzegorz M KubiakWojciech JachećCelina WojciechowskaMagdalena TraczewskaAgnieszka KolaszkoLeszek KubiakJoanna JojkoEwa Nowalany-KozielskaPublished in: Disease markers (2016)
Impact of tissue lactate accumulation on prognosis after acute myocardial infarction (AMI) is biased. The study aimed to assess the prognostic role of lactate concentration (LC) in patients with AMI during one year of follow-up. 145 consecutive patients admitted due to AMI were enrolled. The data on the frequency of endpoint occurrence (defined as I, death; II, heart failure (HF); and III, recurrent myocardial infarction (re-MI)) were collected. The patients were divided into group A (LC below the cut-off value) and group B (LC above the cut-off value) for the endpoints according to receiver operating characteristic (ROC) analysis. The cumulative survival rate was 99% in group I-A and 85% in group I-B (p = 0.0004, log-rank test). The HF-free survival rate was 95% in group II-A and 82% in group II-B (p = 0.0095, log-rank test). The re-MI-free survival rate did not differ between groups. A multivariate Cox analysis showed a statistically significant influence of LC on death [Hazard Ratio (HR): 1.41, 95% Confidence Interval (CI) (1.13-1.76), and p = 0.002] and HF [HR: 1.21, 95% CI (1.05-1.4), and p = 0.007] with no impact on re-MI occurrence. LC in capillary blood may be considered a useful prognostic marker of late-onset heart failure and death after AMI.
Keyphrases
- acute myocardial infarction
- free survival
- heart failure
- left ventricular
- late onset
- acute heart failure
- simultaneous determination
- percutaneous coronary intervention
- risk assessment
- mass spectrometry
- end stage renal disease
- ejection fraction
- liquid chromatography
- cardiac resynchronization therapy
- coronary artery disease
- chronic kidney disease
- prognostic factors
- tandem mass spectrometry
- peritoneal dialysis
- big data