Blending clinical and technical skills at the bedside

The brave new world will find a richer blending of clinical and technical skill development as scenario-based simulation training emerges on the web. The benefits of competency assessment, standards-based education, and just-in-time decision-making support will help organizations serve the patient with greater skill. This is the bridge to crossing the quality chasm that exists today. And, it is the promise for a safer tomorrow.     

Proteomic analysis at the bedside: early detection of cancer

Proteomic technologies promise to accelerate rapidly a new era in molecular medicine, especially in the detection and discovery of disease-related biomarkers. These technologies have no bigger impact than in the field of human cancer research. Beyond lifestyle-associated prevention strategies, early detection of cancer has the most profound impact on the ultimate course of the disease: the earlier the cancer is detected, the better the prognosis. Today, new proteomic technologies are being used to discover new diagnostic and prognostic biomarkers for the early detection and treatment of cancer that will have important implications at the bedside.     

The Immune Tolerance Network at 10 years: tolerance research at the bedside

Immune tolerance-inducing therapies reprogramme immune cells to eliminate pathogenic immune responses while preserving protective immunity. The Immune Tolerance Network (ITN), sponsored by the US National Institutes of Health, was established in 1999 to evaluate new tolerance-inducing therapies and carry out mechanistic studies using a unique interactive approach in partnership with industry, academia and foundations. Ten years later, the ITN has carried out approximately 36 clinical trials and tolerance studies examining innovative tolerogenic approaches in the settings of allergy, autoimmune diseases and organ transplantation. ITN investigators have published more than 80 original research papers based on this work. This Timeline article summarizes the progress and challenges of clinical research in the ITN.     

A portable near infrared spectroscopy system for bedside monitoring of newborn brain

Background  

Newborns with critical health conditions are monitored in neonatal intensive care units (NICU). In NICU, one of the most important problems that they face is the risk of brain injury. There is a need for continuous monitoring of newborn's brain function to prevent any potential brain injury. This type of monitoring should not interfere with intensive care of the newborn. Therefore, it should be non-invasive and portable.     

Assessment of body cell mass at bedside in critically ill patients

Critical illness affects body composition profoundly, especially body cell mass (BCM). BCM loss reflects lean tissue wasting and could be a nutritional marker in critically ill patients. However, BCM assessment with usual isotopic or tracer methods is impractical in intensive care units (ICUs). We aimed to modelize the BCM of critically ill patients using variables available at bedside. Fat-free mass (FFM), bone mineral (Mo), and extracellular water (ECW) of 49 critically ill patients were measured prospectively by dual-energy X-ray absorptiometry and multifrequency bioimpedance. BCM was estimated according to the four-compartment cellular level: BCM = FFM - (ECW/0.98) - (0.73 × Mo). Variables that might influence the BCM were assessed, and multivariable analysis using fractional polynomials was conducted to determine the relations between BCM and these data. Bootstrap resampling was then used to estimate the most stable model predicting BCM. BCM was 22.7 ± 5.4 kg. The most frequent model included height (cm), leg circumference (cm), weight shift (Δ) between ICU admission and body composition assessment (kg), and trunk length (cm) as a linear function: BCM (kg) = 0.266 × height + 0.287 × leg circumference + 0.305 × Δweight - 0.406 × trunk length - 13.52. The fraction of variance explained by this model (adjusted r(2)) was 46%. Including bioelectrical impedance analysis variables in the model did not improve BCM prediction. In summary, our results suggest that BCM can be estimated at bedside, with an error lower than ±20% in 90% subjects, on the basis of static (height, trunk length), less stable (leg circumference), and dynamic biometric variables (Δweight) for critically ill patients.     

Scleroma of the Nose and Pharynx

Scleroma of the respiratory tract was first recognized just over a century ago. The disease is endemic in a number of North African, Central American and Latin American countries. However, it has been only rarely seen in the United States. The progression of scleroma takes place through three stages. The first stage of rhinitis has an early catarrhal phase which progresses to one of atrophic rhinitis. The second stage is seen as a proliferative granulomatous growth which obliterates the nasal fossae. The third cicatricial stage is usually accompanied by pronounced scarring and retraction of the tissues involved.Because of the increased ease of international travel by both sea and air, more cases can be expected to occur in the United States. This paper is presented to alert physicians to suspect scleroma in any case of granulomatous disease of the respiratory tract.