Background Scores derived from comorbidities can help with risk adjustment of quality and safety data. The Charlson and Elixhauser comorbidity measures are wellknown risk adjustment models, yet the optimal score for orthopaedic patients remains unclear. Questions/purposes We determined whether there was a difference in the accuracy of the Charlson and Elixhauser comorbidity-based measures in predicting (1) in-hospital mortality after major orthopaedic surgery, (2) in-hospital adverse events, and (3) nonroutine discharge. Methods Among an estimated 14,007,813 patients undergoing orthopaedic surgery identified in the National Hospital Discharge Survey (1990Survey ( -2007, 0.80% died in the hospital. The association of each Charlson comorbidity measure and Elixhauser comorbidity measure with mortality was assessed in bivariate analysis. Two main multivariable logistic regression models were constructed, with in-hospital mortality as the dependent variable and one of the two comorbidity-based measures (and age, sex, and year of surgery) as independent variables. A base model that included only age, sex, and year of surgery also was evaluated. The discriminative ability of the models was quantified using the area under the receiver operating characteristic curve (AUC). The AUC quantifies the ability of our models to assign a high probability of mortality to patients who die. Values range from 0.50 to 1.0, with 0.50 indicating no ability to discriminate and 1.0 indicating perfect discrimination. Results Elixhauser comorbidity adjustment provided a better prediction of in-hospital case mortality (AUC, 0.86; 95% CI, 0.86-0.86) compared with the Charlson model (AUC, 0.83; 95% CI, and to the base model with no comorbidities (AUC, 0.81; 95% CI, 0.81-0.81). In terms of relative improvement in predictive performance, the Elixhauser measure performed 60% better than the Charlson score in predicting mortality. The Elixhauser model discriminated inpatient morbidity better than the Charlson measure, but the discriminative ability of the model was poor and the difference in the absolute improvement in predictive power between the two models (AUC, 0.01) is of dubious clinical importance. Both comorbidity models exhibited the same degree of discrimination for estimating nonroutine discharge (AUC, 0.81; 95% CI, 0.81-0.82 for both models). Conclusions Provider-specific outcomes, particularly inpatient mortality, may be evaluated differently depending on the comorbidity risk adjustment model selected. Future research assessing and comparing the performance of the

Background Many patients having discretionary orthopaedic surgery take opioids daily, either with a prescription or illicitly, however little is known regarding the prevalence and effect of high-risk opioid use (eg, abuse, dependence) in the perioperative orthopaedic setting. Questions/purposes We sought (1) to determine the prevalence of opioid abuse and dependence in patients undergoing major elective orthopaedic surgery; (2) to characterize the relationship of opioid abuse and dependence with in-hospital postoperative mortality and adverse events, failure to rescue, prolonged length of stay, and nonroutine disposition; and (3) to identify factors associated with high-risk opioid use.

Humans are one of the few species undergoing an adolescent growth spurt. Because children enter the spurt at different ages making age a poor maturity measure, longitudinal studies are necessary to identify the growth patterns and identify commonalities in adolescent growth. The standard maturity determinant, peak height velocity (PHV) timing, is difficult to estimate in individuals due to diurnal, postural, and measurement variation. Using prospective longitudinal populations of healthy children from two North American populations, we compared the timing of the adolescent growth spurt’s peak height velocity to normalized heights and hand skeletal maturity radiographs. We found that in healthy children, the adolescent growth spurt is standardized at 90% of final height with similar patterns for children of both sexes beginning at the initiation of the growth spurt. Once children enter the growth spurt, their growth pattern is consistent between children with peak growth at 90% of final height and skeletal maturity closely reflecting growth remaining. This ability to use 90% of final height as easily identified important maturity standard with its close relationship to skeletal maturity represents a significant advance allowing accurate prediction of future growth for individual children and accurate maturity comparisons for future studies of children’s growth.

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Background In the midst of rapid expansion of medical knowledge and decision-support tools intended to benefit diverse patients, patients with limited health literacy (the ability to obtain, process, and understand information and services to make health decisions) will benefit from asking questions and engaging actively in their own care. But little is known regarding the relationship between health literacy and question-asking behavior during outpatient office visits. Questions/purposes (1) Do patients with lower levels of health literacy ask fewer questions in general, and as stratified by types of questions? (2) What other patient characteristics are associated with the number of questions asked? (3) How often do surgeons prompt patients to ask questions during an office visit? Methods We audio-recorded office visits of 84 patients visiting one of three orthopaedic hand surgeons for the first time. Patient questions were counted and coded using an adaptation of the Roter Interaction Analysis System in 11 categories: (1) therapeutic regimen; (2) medical condition; (3) lifestyle; (4) requests for services or medications; (5) psychosocial/feelings; (6) nonmedical/procedural; (7) asks for understanding; (8) asks for reassurance; (9) paraphrase/ checks for understanding; (10) bid for repetition; and (11) personal remarks/social conversation. Directly after the visit, patients completed the Newest Vital Sign (NVS) health literacy test, a sociodemographic survey (including age, sex, race, work status, marital status, insurance status), and three Patient-Reported Outcomes Measurement Information System-based questionnaires: Upper-Extremity Function, Pain Interference, and Depression. The NVS scores were divided into limited (0-3) and adequate (4-6) health literacy as done by the tool's creators. We also assessed whether the surgeons prompted patients to ask questions during the encounter. Results Patients with limited health literacy asked fewer questions than patients with adequate health literacy (5 ± 4 versus 9 ± 7; mean difference, À4; 95% CI, À7 to À1; p = 0.002). More specifically, patients with limited health literacy asked fewer questions regarding medical-care issues such as their therapeutic regimen (1 ± 2 versus 3 ± 4; Each author certifies that he or she, or a member of his or her immediate family, has no funding or commercial associations (eg, consultancies, stock ownership, equity interest, patent/licensing arrangements, etc) that might pose a conflict of interest in connection with the submitted article. All ICMJE Conflict of Interest Forms for authors and Clinical Orthopaedics and Related Research 1 editors and board members are on file with the publication and can be viewed on request. Each author certifies that his or her institution approved the human protocol for this investigation, that all investigations were conducted in conformity with ethical principles of research, and that informed consent for participation in the study was obtained. This work was performed at

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