Multi-method assessment of feeding problems among children with autism spectrum disorders

Estimates suggest that atypical eating is pervasive among children with autism spectrum disorders (ASD); however, much remains unknown regarding the nature and prevalence of feeding problems in this population due to methodological limitations, including lack of adequate assessment methods and empirical evaluation of existing measures. In the current study, a sample of 30 children ages 3–8 years completed a multi-method assessment battery involving a standardized mealtime observation, a food preference inventory, and the Brief Autism Mealtime Behavior Inventory (BAMBI), which represents the first attempt to assess the correspondence between direct observation and parent-report measures of feeding concerns and dietary intake in ASD. During the mealtime observation, fourteen participants either rejected (n = 8) or accepted (n = 6) all bites, while the remaining 16 participants demonstrated selective patterns of acceptance by type and/or texture. Among this subgroup, vegetables were the most frequently rejected food type during the behavioral observation. Vegetables were also the most frequently rejected food based on parent report for the sample. Increased food selectivity was positively correlated with problem behaviors during the observation, while ASD symptom severity and growth parameters were unrelated to feeding data. We discuss findings in relation to clinical and research activities and recommend strategies to achieve more systematic research in this area.     

Disease-based mortality after percutaneous endoscopic gastrostomy: utility of the enterprise data warehouse

Background

Percutaneous endoscopic gastrostomy (PEG) remains a mainstay of enteral access. Thirty-day mortality for PEG has ranged from 16 to 43 %. This study aims to discern patient groups that demonstrate limited survival after PEG placement. The Enterprise Data Warehouse (EDW) concept allows an efficient means of integrating administrative, clinical, and quality-of-life data. On the basis of this concept, we developed the Vanderbilt Procedural Outcomes Database (VPOD) and analyzed these data for evaluation of post-PEG mortality over time.

Methods

Patients were identified using the VPOD from 2008 to 2010 and followed for 1 year after the procedure. Patients were categorized according to common clinical groups for PEG placement: stroke/CNS tumors, neuromuscular disorders, head and neck cancers, other malignancies, trauma, cerebral palsy, gastroparesis, or other indications for PEG. All-cause mortality at 30, 60, 90, 180, and 360 days was determined by linking VPOD information with the Social Security Death Index. Chi-square analysis was used to determine significance across groups.

Results

Nine hundred fifty-three patients underwent PEG placement during the study period. Mortality over time (30-, 60-, 90-, 180-, and 360-day mortality) was greatest for patients with malignancies other than head and neck cancer (29, 45, 57, 66, and 72 %) and least for cerebral palsy or patients with gastroparesis (7 % at all time points). Patients with neuromuscular disorders had a similar mortality curve as head and neck cancer patients. Stroke/CNS tumor patients and patients with other indications had the second highest mortality, while trauma patients had low mortality.

Conclusions

PEG mortality was much higher in patients with malignancies other than head and neck cancer compared to previously published rates. PEG should be used with great caution in this and other high-risk patient groups. This study demonstrates the power of an EDW-based database to evaluate large numbers of patients with clinically meaningful results.     

Arthroplasty for ochronotic arthritisNo failure of 11 replacements in 3 patients followed 6–12 years

Background?Alkaptonuria is a rare single-gene disorder characterized by black pigmentation of cartilage and other connective tissues. Premature degenerative arthritis affects the large joints in many of these of patients. Medical treatment is limited to a protein-restricted diet (phenylalanine and tyrosine) with surgery reserved for end-stage joint disease. As in other metabolic bone diseases, there are concerns about the quality and strength of affected bones and therefore the suitability and longevity of replacement arthroplasty. The histopathology and outcome of joint replacement for alkaptonuric arthritis is unknown and limited to sporadic case reports.Patients and results?We describe 11 joint replacements in 3 patients with alkaptonuric polyarthropathy, including shoulder and elbow replacements not previously reported. No prosthetic failures occurred in up to 12 years of follow-up.Interpretation?Total joint replacement is an acceptable treatment for degenerative joint disease in alkaptonuric patients, with implant survival comparable to that found in patients with osteoarthritis.     

Relationships Between Health Care Disparities and Coverage Policies for Breast,Colon, and Lung Cancer Screening

Disparities in outcomes exist for breast, colon, and lung cancer among diverse populations, particularly racial and ethnic underrepresented minorities (URMs) and individuals from lower socioeconomic status. For example, blacks experience mortality rates up to about 42% higher than whites for these cancers. Furthermore, although overall death rates have been declining, the differential access to screening and care has aggravated disparities. Our purpose is to assess how the coverage policies of CMS and the United States Preventive Services Task Force (USPSTF) influence these disparities. Additionally, barriers are often encountered in accessing screening tests and receiving prompt treatment. To narrow, and potentially eliminate, outcomes disparities, CMS and USPSTF could consider revising their decision-making processes regarding coverage. Some options include (1) extending their evidence base to include observational studies that involve groups at higher risk; (2) lowering the threshold ages for screening to encompass differences in incidence; (3) CMS approving screening CT colonography coverage, which can even increase compliance with other screening tests; (4) clarifying and streamlining guidelines; (5) supporting research on improving access to screening; and (6) encouraging the development of more navigation services for URMs.     

Kinetic Modeling of Contrast-Enhanced MRI: An Automated Technique for Assessing Inflammation in the Rheumatoid Arthritis Wrist

In recent years, development of rheumatoid arthritis (RA) drug therapy has been more directly targeted to counteract specific mechanisms of inflammation, and it is now believed that early aggressive treatment with disease modifying drugs is important to inhibit future structural joint damage. The development of these new treatments has increased the need for methodologies to assess disease activity in RA and monitor the effectiveness of drug therapy. Unlike X-ray, which shows only structural bone damage, magnetic resonance imaging (MRI) can depict soft tissue damage and synovitis, the primary pathology of RA. Recent studies have also indicated that MRI is sensitive to pathophysiologic changes that may predate radiographic erosions and may predict future joint damage. In this study, we have developed a computer automated analysis technique for MR wrist images that provides an objective measure of RA synovitis. This method applies a two-compartment pharmacokinetic model to every voxel of a dynamic contrast-enhanced MRI (DCE-MRI) dataset and outputs resulting parametric images. The aim of this technique is to not only objectively quantify the severity of rheumatoid synovitis, but to also locally determine where areas of serious disease activity are situated through kinetic modeling of blood-tissue exchange. Preliminary results show good correlation to early enhancement rate, which has previously been shown to be a useful clinical marker of RA activity. However, the use of tracer kinetic modeling methods potentially provides more specific information regarding underlying RA physiology. This approach could provide a useful new tool in RA patient management and could substantially improve RA therapeutic studies by calculating objective biomarkers of the disease state.     

GPU-based streaming architectures for fast cone-beam CT image reconstruction and demons deformable registration

This paper shows how to significantly accelerate cone-beam CT reconstruction and 3D deformable image registration using the stream-processing model. We describe data-parallel designs for the Feldkamp, Davis and Kress (FDK) reconstruction algorithm, and the demons deformable registration algorithm, suitable for use on a commodity graphics processing unit. The streaming versions of these algorithms are implemented using the Brook programming environment and executed on an NVidia 8800 GPU. Performance results using CT data of a preserved swine lung indicate that the GPU-based implementations of the FDK and demons algorithms achieve a substantial speedup--up to 80 times for FDK and 70 times for demons when compared to an optimized reference implementation on a 2.8 GHz Intel processor. In addition, the accuracy of the GPU-based implementations was found to be excellent. Compared with CPU-based implementations, the RMS differences were less than 0.1 Hounsfield unit for reconstruction and less than 0.1 mm for deformable registration.