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Aims Optimal outcome after cardiogenic shock (CS) depends on a coordinated healing response in which both debris removal and extracellular matrix tissue repair play a crucial role. Excessive inflammation can perpetuate a vicious circle, positioning leucocytes as central protagonists and potential therapeutic targets. High levels of circulating Triggering Receptor Expressed on Myeloid cells-1 (TREM-1), were associated with death in acute myocardial infarction confirming excessive inflammation as determinant of bad outcome. The present study aims to describe the association of soluble TREM-1 with 90-day mortality and with various organ injuries in patients with CS. Methods and results This is a post-hoc study of CardShock, a prospective, multicenter study assessing the clinical presentation and management in patients with CS. At the time of this study, 87 patients had available plasma samples at either baseline, and/or 48 h and/or 96-120 h for soluble TREM-1 (sTREM-1) measurements. Plasma concentration of sTREM-1 was higher in 90-day non-survivors than survivors at baseline [median: 1392 IQR: (724-2128) vs. 621 (525-1233) pg/mL, p = 0.008), 48 h (p = 0.019) and 96-120 h (p = 0.029). The highest tertile of sTREM-1 at baseline (threshold: 1347 pg/mL) was associated with 90-day mortality with an unadjusted HR 3.08 CI 95% (1.48-6.42). sTREM-1 at baseline was not associated to hemodynamic parameters (heart rate, blood pressure, use of vasopressors or inotropes) but rather with organ injury markers: renal (estimated glomerular filtration rate, p = 0.0002), endothelial (bio-adrenomedullin, p = 0.018), myocardial (Suppression of Tumourigenicity 2, p = 0.002) or hepatic (bilirubin, p = 0.008). Conclusion In CS patients TREM-1 pathway is highly activated and gives an early prediction of vital organ injuries and outcome. [GRAPHICS] .

Introduction The prevalence of hypoalbuminemia, early changes of plasma albumin (P-Alb) levels, and their effects on mortality in cardiogenic shock are unknown. Materials and methods P-Alb was measured from serial blood samples in 178 patients from a prospective multinational study on cardiogenic shock. The association of hypoalbuminemia with clinical characteristics and course of hospital stay including treatment and procedures was assessed. The primary outcome was all-cause 90-day mortality. Results Hypoalbuminemia (P-Alb < 34g/L) was very frequent (75%) at baseline in patients with cardiogenic shock. Patients with hypoalbuminemia had higher mortality than patients with normal albumin levels (48% vs. 23%, p = 0.004). Odds ratio for death at 90 days was 2.4 [95% CI 1.5-4.1] per 10 g/L decrease in baseline P-Alb. The association with increased mortality remained independent in regression models adjusted for clinical risk scores developed for cardiogenic shock (CardShock score adjusted odds ratio 2.0 [95% CI 1.1-3.8], IABP-SHOCK II score adjusted odds ratio 2.5 [95% CI 1.2-5.0]) and variables associated with hypoalbuminemia at baseline (adjusted odds ratio 2.9 [95% CI 1.2-7.1]). In serial measurements, albumin levels decreased at a similar rate between 0h and 72h in both survivors and nonsurvivors (Delta P-Alb -4.6 g/L vs. 5.4 g/L, p = 0.5). While the decrease was higher for patients with normal P-Alb at baseline (p

Background and Purpose - Plasma GFAP (glial fibrillary acidic protein) has recently emerged as a potential biomarker for the differentiation of acute intracerebral hemorrhage (ICH) from acute ischemic stroke (AIS). We prospectively assessed the diagnostic accuracy of GFAP in the differential diagnosis of ICH. Methods - Consecutive patients presenting to the emergency department within 6 hours from symptom onset were evaluated. All patients underwent extensive diagnostic work-up and were classified according to discharge diagnosis in AIS, ICH, subarachnoid hemorrhage, and stroke mimics. GFAP was also measured in healthy volunteers (controls). Baseline stroke severity was evaluated using National Institutes of Health Stroke Scale. Receiver operating characteristic curve analysis was used to identify the optimal cutoff point for the differentiation between subgroups. Correlation analyses of GFAP plasma concentrations with baseline National Institutes of Health Stroke Scale and onset to sampling time were performed with the nonparametric Spearman rank test and fractional polynomial regression, respectively. Results - Our study population consisted of 270 individuals (AIS: 121, ICH: 34, stroke mimics: 31, subarachnoid hemorrhage: 5, controls: 79). No differences on baseline stroke severity and onset to sampling time were detected between AIS and ICH. Higher median plasma GFAP values were documented in ICH compared with AIS, stroke mimics, and controls (P

Aims: To correlate the values of MBG to HbA1c in Greek patients with Type 2 diabetes and/or metabolic syndrome. Methods: We followed up 140 Greek adult patients: 92 patients with Type 2 diabetes treated with insulin or oral glucose-lowering medication, and 48 patients with newly diagnosed Type 2 diabetes or metabolic syndrome not receiving any treatment. MBG was calculated for each patient from self-measurements of blood glucose using a portable glucometer, made six times a day (before eating and 2 h after a meal), three times a week for 1 month. HbA1c was determined by HPLC at 0 and 12 weeks. Results: HbA1c at 0 (x) and 12 weeks (y) correlated strongly (y = 0.790x + 1.115, r = 0.92), confirming that the patient's glycaemic status remained stable during the whole period of follow-up. Linear regression was performed on MBG values; HbA1c at 12 weeks, sex, age, body mass index (BMI) and patient status (Type 2 diabetes treated or not) were used as independent variables. None of the independent variables reached statistical significance in the model, with the exception of HbA1c at 12 weeks. The final model was: MBG (mg/dl) = (34.74 × HbA1c) - 79.21, r = 0.93; or MBG (mmol/l) = 1.91 × HbA1c - 4.36, r = 0.93. Conclusions: Our results establish for the first time a strong correlation between MBG and HbA1c in Type 2 diabetic patients and support the idea of expressing HbA1c results as MBG. This will help patients to gain a clearer interpretation of the result, with less confusion. This simplification will allow every person with diabetes using home glucose-monitoring to understand his or her own target level. © 2008 The Authors.