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Background: Contemporary definitions of bleeding endpoints are restricted mostly to clinically overt events. Whether hemoglobin drop per se, with or without overt bleeding, adversely affects the prognosis of patients with acute coronary syndrome (ACS) remains unclear.Objectives: The aim of this study was to examine in the MATRIX (Minimizing Adverse Haemorrhagic Events by Transradial Access Site and Systemic Implementation of Angiox) trial the incidence, predictors, and prognostic implications of in-hospital hemoglobin drop in patients with ACS managed invasively stratified by the presence of in-hospital bleeding.Methods: Patients were categorized by the presence and amount of in-hospital hemoglobin drop on the basis of baseline and nadir hemoglobin values and further stratified by the occurrence of adjudicated in-hospital bleeding. Hemoglobin drop was defined as minimal (<3 g/dl), minor (≥3 and <5 g/dl), or major (≥5 g/dl). Using multivariate Cox regression, we modeled the association between hemoglobin drop and mortality in patients with and without overt bleeding.Results: Among 7,781 patients alive 24 h after randomization with available hemoglobin data, 6,504 patients (83.6%) had hemoglobin drop, of whom 5,756 (88.5%) did not have overt bleeding and 748 (11.5%) had overt bleeding. Among patients without overt bleeding, minor (hazard ratio [HR]: 2.37; 95% confidence interval [CI]: 1.32 to 4.24; p = 0.004) and major (HR: 2.58; 95% CI: 0.98 to 6.78; p = 0.054) hemoglobin drop were independently associated with higher 1-year mortality. Among patients with overt bleeding, the association of minor and major hemoglobin drop with 1-year mortality was directionally similar but had wider CIs (minor: HR: 3.53 [95% CI: 1.06 to 11.79]; major: HR: 13.32 [95% CI: 3.01 to 58.98]).Conclusions: Among patients with ACS managed invasively, in-hospital hemoglobin drop ≥3 g/dl, even in the absence of overt bleeding, is common and is independently associated with increased risk for 1-year mortality. (Minimizing Adverse Haemorrhagic Events by Transradial Access Site and Systemic Implementation of Angiox; NCT01433627). [ABSTRACT FROM AUTHOR]

Assessing quality of care is essential for improving the management of patients experiencing traumatic brain injury (TBI). This study aimed at devising a rigorous framework to evaluate the quality of TBI care provided by intensive care units (ICUs) and applying it to the Collaborative Research on Acute Traumatic Brain Injury in Intensive Care Medicine in Europe (CREACTIVE) consortium, which involved 83 ICUs from seven countries. The performance of the centers was assessed in terms of patients' outcomes, as measured by the 6-month Glasgow Outcome Scale-Extended (GOS-E). To account for the between-center differences in the characteristics of the admitted patients, we developed a multinomial logistic regression model estimating the probability of a four-level categorization of the GOS-E: good recovery (GR), moderate disability (MD), severe disability (SD), and death or vegetative state (D/VS). A total of 5928 patients admitted to the participating ICUs between March 2014 and March 2019 were analyzed. The model included 11 predictors and demonstrated good discrimination (area under the receiver operating characteristic [ROC] curve in the validation set for GR: 0.836, MD: 0.802, SD: 0.706, D/VS: 0.890) and calibration, both overall (Hosmer-Lemeshow test p value: 0.87) and in several subgroups, defined by prognostically relevant variables. The model was used as a benchmark for assessing quality of care by comparing the observed number of patients experiencing GR, MD, SD, and D/VS to the corresponding numbers expected in each category by the model, computing observed/expected (O/E) ratios. The four center-specific ratios were assembled with polar representations and used to provide a multidimensional assessment of the ICUs, overcoming the loss of information consequent to the traditional dichotomizations of the outcome in TBI research. The proposed framework can help in identifying strengths and weaknesses of current TBI care, triggering the changes that are necessary to improve patient outcomes.

Individualized patient care is essential to reduce the global burden of traumatic brain injury (TBI). This pilot study focused on TBI patients admitted to intensive care units (ICUs) and aimed at identifying patterns of circulating biomarkers associated with the disability level at 6 months from injury, measured by the extended Glasgow Outcome Scale (GOS-E). The concentration of 107 biomarkers, including proteins related to inflammation, innate immunity, TBI, and central nervous system, were quantified in blood samples collected on ICU admission from 80 patients. Patients were randomly selected among those prospectively enrolled in the Collaborative Research on Acute Traumatic Brain Injury in Intensive Care Medicine in Europe (CREACTIVE) observational study. Six biomarkers were selected to be associated with indicators of primary or secondary brain injury: three glial proteins (glial cell-derived neurotrophic factor, glial fibrillary acidic protein, and S100 calcium-binding protein B) and three cytokines (stem cell factor, fibroblast growth factor [FGF] 23 and FGF19). The subjects were grouped into three clusters according to the expression of these proteins. The distribution of the 6-month GOS-E was significantly different across clusters ( p  < 0.001). In two clusters, the number of 6-month deaths or vegetative states was significantly lower than expected, as calculated according to a customization of the corticosteroid randomization after significant head injury (CRASH) scores (observed/expected [O/E] events = 0.00, 95% confidence interval [CI]: 0.00-0.90 and 0.00, 95% CI: 0.00-0.94). In one cluster, less-than-expected unfavorable outcomes (O/E = 0.50, 95% CI: 0.05-0.95) and more-than-expected good recoveries (O/E = 1.55, 95% CI: 1.05-2.06) were observed. The improved prognostic accuracy of the pattern of these six circulating biomarkers at ICU admission upon established clinical parameters and computed tomography results needs validation in larger, independent cohorts. Nonetheless, the results of this pilot study are promising and will prompt further research in personalized medicine for TBI patients.