Lower socioeconomic factors are associated with higher mortality in patients with septic shock.

BACKGROUND: Previous studies have explored the relationship between socioeconomic status and sepsis outcomes OBJECTIVES: The purpose of this investigation is to determine if race, ethnicity, economic stability, neighborhood environment, and access to health care are predictive of mortality in patients with septic shock. METHODS: Retrospective study of septic shock patients admitted to two medical centers. RESULTS: Caucasian patients had higher proportion of outpatient physician visits in the year prior to admission and were less likely to be Medicare or Medicaid beneficiaries. Thirty-day mortality was lower for the Caucasian cohort (39.3% vs. 48.7%, p < 0.01). Multivariate logistic regression found several predictors of 30-day mortality including Minority race/ethnicity (OR 1.44, 95% CI 1.12-1.86), unemployment (OR 1.40, 95% CI 1.09-1.81), and neighborhood poverty rate ≥10% (OR 1.43, 95% CI 1.01-2.01). CONCLUSIONS: Minority patients, unemployed patients, and those living in neighborhoods with poverty rates greater than 10% suffered from higher 30-day mortality when admitted for septic shock.

Thromboelastometry-guided anticoagulation reversal in a patient with ventricular assist device with intracranial hemorrhage.

Intracranial hemorrhage (ICH) is a known complication in patients with ventricular assist devices (VAD). We present a case of a 42-year-old male with a VAD and on warfarin who presented to the emergency department with ICH necessitating anticoagulant reversal. An attenuated dose of 15 units/kg of 4-factor prothrombin complex-concentrates (4F-PCC) was given and the patient's coagulation profile was subsequently assessed using rotational thromboelastometry (ROTEM®) to determine appropriateness of reversal. ROTEM® analysis showed adequate reversal at the time of assessment and the patient ultimately returned home without further functional deficits, highlighting the role of ROTEM® to guide anticoagulation reversal in the VAD patient population.

The HIVToolbox 2 web system integrates sequence, structure, function and mutation analysis.

There is enormous interest in studying HIV pathogenesis for improving the treatment of patients with HIV infection. HIV infection has become one of the best-studied systems for understanding how a virus can hijack a cell. To help facilitate discovery, we previously built HIVToolbox, a web system for visual data mining. The original HIVToolbox integrated information for HIV protein sequence, structure, functional sites, and sequence conservation. This web system has been used for almost 40,000 searches. We report improvements to HIVToolbox including new functions and workflows, data updates, and updates for ease of use. HIVToolbox2, is an improvement over HIVToolbox with new functions. HIVToolbox2 has new functionalities focused on HIV pathogenesis including drug-binding sites, drug-resistance mutations, and immune epitopes. The integrated, interactive view enables visual mining to generate hypotheses that are not readily revealed by other approaches. Most HIV proteins form multimers, and there are posttranslational modification and protein-protein interaction sites at many of these multimerization interfaces. Analysis of protease drug binding sites reveals an anatomy of drug resistance with different types of drug-resistance mutations regionally localized on the surface of protease. Some of these drug-resistance mutations have a high prevalence in specific HIV-1 M subtypes. Finally, consolidation of Tat functional sites reveals a hotspot region where there appear to be 30 interactions or posttranslational modifications. A cursory analysis with HIVToolbox2 has helped to identify several global patterns for HIV proteins. An initial analysis with this tool identifies homomultimerization of almost all HIV proteins, functional sites that overlap with multimerization sites, a global drug resistance anatomy for HIV protease, and specific distributions of some DRMs in specific HIV M subtypes. HIVToolbox2 is an open-access web application available at [http://hivtoolbox2.bio-toolkit.com].