Bone mass measurement (BMM) is useful to identify persons with low bone mass who are at increased risk for fracture. Given the increased emphasis that is being placed on preventive services such as screening for osteoporosis, we evaluated trends in BMM among Medicare beneficiaries. We studied a 5% sample of Medicare beneficiaries Ն65 yr of age in 1999-2005. We identified claims for BMM tests performed in both facility and nonfacility settings, evaluated temporal trends in use of these tests, and described the proportion of tests attributable to each specialty of physicians submitting claims. We also assessed patterns of serial testing among individuals who were tested more than once. Claims data from all years were pooled to describe the proportion of persons in the population ever tested. From 1999 to 2005, use of central DXA increased by ∼50%, and use of peripheral DXA declined. The greatest increases in central DXA occurred among internists, family practitioners, and gynecologists. In 1999, the proportion of 65-yr-old women tested was 8.4%; this increased to 12.9% in 2005. Corresponding proportions for men were 0.6% and 1.7%, respectively. Between 40% and 73% of persons receiving central DXA were retested, most at ∼2-yr intervals. Aggregating data across all years for whites and blacks, 30.0% of women and 4.4% of men underwent central DXA at least once. We conclude that, although use of DXA steadily increased from 1999 to 2005, only ∼30% of women and 4% of men at least 65 yr old had a central DXA study. Given the importance of central DXA to assess the risk of osteoporotic fractures, strategies to increase central DXA use to test at-risk persons are warranted. ONE MASS MEASUREMENT (BMM) is a well-validated and widely accepted screening test to identify patients with low bone mass who are at increased risk for fragility fractures. Because osteoporosis is clinically asymptomatic until a fracture occurs, the importance of screening during the asymptomatic phase is critical to identify opportunities to mitigate risk.(1) There are many types of BMM testing technologies, including ultrasound, QCT, and both singleand dual-energy X-ray absorptiometry. Among these, DXA of central sites (lumbar spine, femoral neck, total hip) is preferred because of its precision, minimal radiation exposure, relatively low cost, and largest evidence base to support diagnostic and treatment guidelines.Numerous international agencies recommend primary screening with DXA for at-risk persons. In the United States, the National Osteoporosis Foundation and the U.S. Preventive Task Force recommend population-wide DXA for all women at least 65 yr old and for younger women with risk factors.(2-4) Screening with central DXA for all women Ն65 yr of age also is recommended by Medicare as one of the reimbursable quality measures that is part of the 2007 Physician Quality Reporting Initiative (PQRI). There is less consensus on the appropriate screening age for men at average risk, although the International Society for Clinical Densitometr...

Findings show that simulation-based team training (SBTT) is effective at increasing teamwork skills. Postpediatric cardiac surgery cardiac arrest (PPCS-CA) is a high-risk clinical situation with high morbidity and mortality. Whereas adult guidelines managing cardiac arrest after cardiac surgery are available, little exists for pediatric cardiac surgery. The authors developed a post-PPCS-CA algorithm and used SBTT to improve identification and management of PPCS-CA in the pediatric cardiovascular intensive care unit. Their goal was to determine whether participation aids in improving teamwork, confidence, and communication during these events. The authors developed a simulation-based training course using common postcardiac surgical emergency scenarios with specific learning objectives. Simulated scenarios are followed by structured debriefings. Participants were evaluated based on critical performance criteria, key elements in the PPCS-CA algorithm, and Team Strategies and Tools to Enhance Performance and Patient Safety (Team STEPPS) principles. Surveys performed before, immediately after, and 3 months after participation evaluated perception of skill, knowledge, and confidence. The study had 37 participants (23 nurses, 5 cardiology/critical care trainees, 5 respiratory therapists, and 4 noncategorized subjects). Confidence and skill in the roles of team leader, advanced airway management, and cardioversion/defibrillation were increased significantly (p < 0.05) immediately after training and 3 months later. A significant increase (p < 0.05) also was observed in the use of Team STEPPS concepts immediately after training and 3 months later. This study showed SBTT to be effective in improving communication and increasing confidence among members of a multidisciplinary team during crisis scenarios. Thus, SBTT provides an excellent tool for teaching and implementing new processes.

The use of spironolactone is inversely associated with fractures in men with CHF.

We sought to create a screening tool with improved predictive value for pediatric severe sepsis (SS) and septic shock that can be incorporated into the electronic medical record and actively screen all patients arriving at a pediatric emergency department (ED). “Gold standard” SS cases were identified using a combination of coded discharge diagnosis and physician chart review from 7,402 children who visited a pediatric ED over 2 months. The tool’s identification of SS was initially based on International Consensus Conference on Pediatric Sepsis (ICCPS) parameters that were refined by an iterative, virtual process that allowed us to propose successive changes in sepsis detection parameters in order to optimize the tool’s predictive value based on receiver operating characteristics (ROC). Age-specific normal and abnormal values for heart rate (HR) and respiratory rate (RR) were empirically derived from 143,603 children seen in a second pediatric ED over 3 years. Univariate analyses were performed for each measure in the tool to assess its association with SS and to characterize it as an “early” or “late” indicator of SS. A split-sample was used to validate the final, optimized tool. The final tool incorporated age-specific thresholds for abnormal HR and RR and employed a linear temperature correction for each category. The final tool’s positive predictive value was 48.7%, a significant, nearly threefold improvement over the original ICCPS tool. False positive systemic inflammatory response syndrome identifications were nearly sixfold lower.

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