Biocompatible implant mimicking cartilage: A new horizon for reconstructive facial field

Cartilage is avascular with limited to no regenerative capacity, so its loss could be a challenge for reconstructive surgery. Current treatment options for damaged cartilage are also limited. In this aspect there is a tremendous need to develop an ideal cartilage-mimicking biomaterial that could repair maxillofacial defects. Considering this fact in this study we have prepared twelve silicone-based materials (using Silicone 40, 60, and 80) reinforced with hydroxyapatite, tri-calcium phosphate, and titanium dioxide which itself has proven their efficacy in several studies and able to complement the shortcomings of using silicones. Among the mechanical properties (Young’s modulus, tensile strength, percent elongation, and hardness), hardness of Silicone-40 showed similarities with goat ear (P > .05). Silicone peaks have been detected in FTIR. Both AFM morphology and SEM images of the samples confirmed more roughed surfaces. All the materials were nonhemolytic in hemocompatibility tests, but among the twelve materials S2, S3, S5, and S6 showed the least hemolysis. For all tested bacterial strains, adherence was lower on each material than that grown on the plain industrial silicone material which was used as a positive control. S2, S3, S5, and S6 samples were selected as the best based on mechanical characterizations, surface characterizations, in vitro hemocompatibility tests and bacterial adherence activity. So, outcomes of this present study would be promising when developing ideal cartilage-mimicking biocomposites and their emerging applications to treat maxillofacial defects due to cartilage damage.     

Chronic low-level arsenic exposure reduces lung function in male population without skin lesions

Objectives

The respiratory effects of chronic low-level arsenic exposure from groundwater have been investigated in West Bengal, India.

Methods

The participants (834 non-smoking adult males) were subdivided in two groups: an arsenic-exposed group (n = 446, mean age 35.3 years) drinking arsenic-contaminated groundwater (11–50 μg/L) and a control group of 388 age-matched men drinking water containing <10 μg/L of arsenic. Arsenic in water samples was measured by atomic absorption spectroscopy. The prevalence of respiratory symptoms was documented by structured, validated questionnaire. Pulmonary function test (PFT) was assessed by portable spirometer.

Results

Compared with control, the arsenic-exposed subjects had higher prevalence of upper and lower respiratory symptoms, dyspnea, asthma, eye irritation and headache. Besides, 20.6 % of arsenic-exposed subjects had lung function deficits (predominantly restrictive and combined types) compared with 13.6 % of control (p < 0.05). A positive association was observed between arsenic concentration in drinking water and the prevalence of respiratory symptoms, while a negative association existed between arsenic level and spirometric parameters.

Conclusions

The findings suggest that even low-level arsenic exposure has deleterious respiratory effects.     

A rare image of post-CTRT iatrogenic tracheoesophageal fistula

A tracheoesophageal fistula may occur due to direct extension of tumour tissue in the trachea and oesophagus, pressure necrosis by a tracheostomy tube in apposition to a nasogastric tube, or tracheoesophageal injury due to other sorts of instrumentation. Bevacizumab is known to cause post-chemotherapy tracheoesophageal fistulae. We present barium swallow x-rays of a female with squamous cell carcinoma of the middle third of the oesophagus; she was being treated weekly with a 6-week regimen of concurrent chemoradiotherapy (CTRT). The x-rays show the formation of a tracheoesophageal fistula at the mid-oesophagus with dye traversing in both directions. It is likely that the tracheoesophageal fistula was formed by trauma due to food matter on a friable sloughed off post-CTRT oesophageal mass. In the majority of cases, these fistulae do not form during chemoradiotherapy, but manifest about six months later. However, in the case presented herein, the fistula was formed in the immediate post-radiation phase.     

Reclassification of predictions for uncovering subgroup specific improvement

Risk prediction models play an important role in prevention and treatment of several diseases. Models that are in clinical use are often refined and improved. In many instances, the most efficient way to improve a successful model is to identify subgroups for which there is a specific biological rationale for improvement and tailor the improved model to individuals in these subgroups, an approach especially in line with personalized medicine. At present, we lack statistical tools to evaluate improvements targeted to specific subgroups. Here, we propose simple tools to fill this gap. First, we extend a recently proposed measure, the Integrated Discrimination Improvement, using a linear model with covariates representing the subgroups. Next, we develop graphical and numerical tools that compare reclassification of two models, focusing only on those subjects for whom the two models reclassify differently. We apply these approaches to BRCAPRO, a genetic risk prediction model for breast and ovarian cancer, using data from MD Anderson Cancer Center. We also conduct a simulation study to investigate properties of the new reclassification measure and compare it with currently used measures. Our results show that the proposed tools can successfully uncover subgroup specific model improvements. Copyright © 2013 John Wiley & Sons, Ltd.