Normalized sensitivity of multi-dimensional body composition biomarkers for risk change prediction.

The limitations of BMI as a measure of adiposity and health risks have prompted the introduction of many alternative biomarkers. However, ranking diverse biomarkers from best to worse remains challenging. This study aimed to address this issue by introducing three new approaches: (1) a calculus-derived, normalized sensitivity score (NORSE) is used to compare the predictive power of diverse adiposity biomarkers; (2) multiple biomarkers are combined into multi-dimensional models, for increased sensitivity and risk discrimination; and (3) new visualizations are introduced that convey complex statistical trends in a compact and intuitive manner. Our approach was evaluated on 23 popular biomarkers and 6 common medical conditions using a large database (National Health and Nutrition Survey, NHANES, N ~ 100,000). Our analysis established novel findings: (1) regional composition biomarkers were more predictive of risk than global ones; (2) fat-derived biomarkers had stronger predictive power than weight-related ones; (3) waist and hip are always elements of the strongest risk predictors; (4) our new, multi-dimensional biomarker models yield higher sensitivity, personalization, and separation of the negative effects of fat from the positive effects of lean mass. Our approach provides a new way to evaluate adiposity biomarkers, brings forth new important clinical insights and sets a path for future biomarker research.

Comparison of clinical outcomes of influenza A and B at the 2017-2018 influenza season: a cohort study.

Influenza has significant morbidity and mortality. Some experts consider infection with influenza B as milder than that with influenza A. The objective of this study is to evaluate the outcomes of hospitalized patients with laboratory-confirmed influenza A or B in 2017-2018 influenza season. All hospitalized patients between October 2017 and April 2018 with laboratory-confirmed influenza A and B were included. The primary composite outcomes were pneumonia/myocarditis/encephalitis, mechanical ventilation, ICU admission, and 30-day mortality. Secondary outcomes were 30-/90-day mortality, length of hospital stay, and readmission rates. The study included 201 influenza A and 325 influenza B. For the primary composite outcome, no significant difference was demonstrated between influenza A and B. Rates of mortality were similar at 30 and 90 days. Influenza A had higher pneumonia rates and mechanical ventilation. On multivariate analysis, higher Charlson's score, hypoalbuminemia, and vasopressor use were associated with 30-day mortality, while infection with either influenza A or B was not. Influenza A was associated with higher pneumonia and mechanical ventilation rates. However, influenza B resulted with similar 30-day mortality rate as influenza A.

Aluminium modifies the electrical response of neuroblastoma cells to a short hypertonic pulse.

The effect of aluminium (50-100 micrograms/ml) on the electrical response of N1E-115 neuroblastoma cells to a short hypertonic pulse was examined using conventional electrophysiological techniques and computer assisted analysis. Application of a small dose of hypertonic solution in the vicinity of the cell evoked depolarization of the membrane potential and a biphasic change in input resistance: an initial increase followed by a profound decrease. Upon washout of the hypertonic stimulus, repolarization of membrane potential and complete recovery of the input resistance were observed. In the presence of aluminium application of hypertonic solution had a reversible effect which showed a prolonged duration of the response without a change in its amplitude. It is suggested that the retardation in recovery from hypertonically induced shock may be due to rigidification of the plasma membrane in the presence of aluminium. Possible implications to human diseases associated with accumulation of aluminium in brain tissue are discussed.