Postcardiac arrest myocardial dysfunction (PCAMD) is a frequent complication faced during post-resuscitation care that adversely impacts survival and neurological outcome.  https://www.selleckchem.com/products/Sunitinib-Malate-(Sutent).html  Both mechanical and electrical factors contribute to the occurrence of PCAMD. Prearrest ventricular function, the cause of cardiac arrest, global ischemia, resuscitation factors, ischemia/reperfusion injury and post-resuscitation treatments contribute to the severity of PCMAD. The pathophysiology of PCAMD is complex and include myocytes energy failure, impaired contractility, cardiac edema, mitochondrial damage, activation of inflammatory pathways and the coagulation cascade, persistent ischemic injury and myocardial stiffness. Hypotension and low cardiac output with vasopressor/inotropes need are frequent after resuscitation. However, clinical, hemodynamic and laboratory signs of shock are frequently altered by cardiac arrest pathophysiology and post-resuscitation treatment, potentially being misleading and not fully reflecting the severity of postcardiac arrest syndrome. Even if validated criteria are lacking, an extensive hemodynamic evaluation is useful to define a "benign" and a "malign" form of myocardial dysfunction and circulatory shock, potentially having treatment and prognostic implications. Cardiac output is frequently decreased after cardiac arrest, particularly in patients treated with target temperature management (TTM); however, it is not independently associated with outcome. Sinus bradycardia during TTM seems independently associated with survival and good neurological outcome, representing a promising prognostic indicator. Higher mean arterial pressure (MAP) seems to be associated with improved survival and cerebral function after cardiac arrest; however, two recent randomized clinical trials failed to replicate these results. Recommendations on hemodynamic optimization are relatively poor and are largely based on general principle of intensive care medicine.
  Thrombocytopenia is associated with worse outcomes in critically ill patients. The clinical relevance of other platelets indices is less studied. We investigated the ability of the platelets distribution width (PDW) and the mean platelet volume (MPV) to predict mortality in critically ill patients. We hypothesized that the prognostic values of PDW and MPV could be different in septic and non-septic patients.
 
  We prospectively analyzed patients with an expected ICU length of stay ≥48 hours. Repeated measurements of PDW and MPV were considered (on ICU admission and up to day 5 thereafter). The primary outcome was to investigate the ability of PDW and MPV to predict 90-day mortality in septic and non-septic patients.
 
  We included in the study 234 patients of which 31% patients were septic. 90-day mortality was 39% in septic and 27% non-septic patients. PDW and MPV values on admission were 12.5±2.5% and 10.7±1.1 fL, respectively. The AUROC of PDW values on admission to predict 90-day mortality in septic patients was 0.813, being higher than those in non-septic patients (0.550, P<0.001). Similarly, the AUROC for MPV in septic patients was higher than non-septic patients (0.55, P<0.001). The combined analysis of platelets morphological indices and lactate improved the predictive accuracy (PDW and lactate AUROC=0.870; MPV and lactate AUROC=0.867).
 
  Platelet morphological indices are independent predictor of 90-day mortality in septic patients but not in non-septic patients. A combined analysis of platelets morphological indices and lactate in septic patients resulted in improved prediction of mortality.
 Platelet morphological indices are independent predictor of 90-day mortality in septic patients but not in non-septic patients. A combined analysis of platelets morphological indices and lactate in septic patients resulted in improved prediction of mortality.
  Myocardial injury after non-cardiac surgery (MINS) is a frequent perioperative event in vascular surgery, associated both with worse outcome and subsequent cardiovascular events. Current guidelines advocate troponin (hs-cTnT) and NT-proBNP measurements in selected patients before surgery, but accurate preoperative identification of patients at risk for MINS is an unmet clinical need. Focused lung ultrasound (LUS) might help to select patients at increased risk for MINS, because it can visualize B-line artifacts correlating to cardiopulmonary disease. Therefore, we investigated whether quantification of B-line artifacts improves perioperative risk predictive accuracy for MINS.
 
  In this prospective single-center observational study, 136 consecutive open vascular surgery patients underwent conventional preoperative assessment expanded by lung ultrasound. Lung ultrasound B-lines were counted in each of 28 bilateral scan fields of the anterior and lateral chest. Improvement of risk predictive accuracy was quantified with area under receiver operating characteristic (ROC) curve analysis and net reclassification improvement (NRI).
 
  We included 118 patients into the final analysis. Twenty-three (19%) patients fulfilled the criteria for the primary endpoint MINS. Three or more bilateral positive B-line fields were calculated as the best ROC-derived cutoff associated with an increased incidence of MINS (odds ratio 4.4; 95% confidence interval [CI] 1.5 to 12.7; P=0.007). Adding LUS to hs-cTnT measurements improved risk predictive accuracy for MINS (NRI 0.36, P=0.043).
 
  Lung ultrasound in combination with hs-cTnT showed a better test accuracy than hs-cTnT alone and might guide clinicians to identify vascular patients at increased risk for MINS.
 Lung ultrasound in combination with hs-cTnT showed a better test accuracy than hs-cTnT alone and might guide clinicians to identify vascular patients at increased risk for MINS.
  Preliminary reports suggested that presepsin was a powerful biomarker for sepsis in a general population. However, presepsin levels change with age. This study aimed to investigate the diagnostic and prognostic value of presepsin among elderly patients with sepsis in the intensive care unit (ICU).
 
  A total of 142 elderly patients were enrolled and assorted into three groups non-infection, infection, and sepsis. Blood samples were collected on days 1, 3 and 7 during the first week of ICU stay for presepsin measurement. Diagnostic and prognostic utilities were tested by receiver operating characteristic, cutoff levels, Kaplan Meier survival curves and hazard ratios.
 
  The presepsin level on days 1 and 3 were significantly higher in sepsis compared with infection (P<0.01) and non-infection (P<0.01). The diagnostic area under the curve (AUC) of presepsin was comparable to that of procalcitonin (P>0.05) and higher than that of C-reactive protein or interleukin 6 (P<0.05) on days 1 and 3. In AUC and Kaplan-Meier survival curves, presepsin on day 3 showed a significant prognostic value for 30-day mortality but was not superior to other biomarkers.