Mariano E. Menendez

The Elixhauser Comorbidity Method Outperforms the Charlson Index in Predicting Inpatient Death After Orthopaedic Surgery

BackgroundScores derived from comorbidities can help with risk adjustment of quality and safety data. The Charlson and Elixhauser comorbidity measures are well-known risk adjustment models, yet the optimal score for orthopaedic patients remains unclear.Questions/purposesWe 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.MethodsAmong an estimated 14,007,813 patients undergoing orthopaedic surgery identified in the National Hospital Discharge Survey (1990–2007), 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.ResultsElixhauser 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, 0.83–0.84) 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).ConclusionsProvider-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 Charlson and Elixhauser measures in predicting long-term outcomes would be of value.Level of EvidenceLevel II, prognostic study. See the Instructions for Authors for a complete description of levels of evidence.

The influence of psychiatric comorbidity on perioperative outcomes after shoulder arthroplasty.

BACKGROUND Psychiatric comorbidity has been associated with increased health risks and poor long-term treatment outcomes in numerous medical disciplines, but its effect in short-term perioperative settings is incompletely understood. The purpose of this study was to evaluate the influence of a preoperative diagnosis of depressive disorder, anxiety disorder, schizophrenia, or dementia on in-hospital (1) adverse events, (2) blood transfusion, and (3) nonroutine discharge in patients undergoing shoulder arthroplasty. METHODS Using the National Hospital Discharge Survey (NHDS) database, we identified 348,824 discharges having undergone partial or total shoulder arthroplasty from 1990 to 2007. Multivariable regression analysis was performed for each of the outcome variables. RESULTS The prevalence of diagnosed depressive disorder was 4.4%, anxiety disorder, 1.6%; schizophrenia, 0.6%; and dementia, 1.5%. Preoperative psychiatric disorders, with the exception of schizophrenia, were associated with higher rates of adverse events. Depression and schizophrenia were associated with higher perioperative rates of blood transfusion. Any preoperative psychiatric illness was associated with higher rates of nonroutine discharge. CONCLUSIONS Patients with preoperative psychiatric illness undergoing shoulder arthroplasty are at increased risk for perioperative morbidity and posthospitalization care. Preoperative screening of psychiatric illness might help with planning of shoulder arthroplasty.

Psychiatric disorders and major spine surgery: epidemiology and perioperative outcomes.

Study Design. Analysis of the National Hospital Discharge Survey database from 1990 to 2007. Objective. To evaluate the influence of preoperative depression, anxiety, schizophrenia, or dementia on in-hospital (1) adverse events, (2) mortality, and (3) nonroutine discharge in patients undergoing major spine surgery. Summary of Background Data. Psychiatric comorbidity is a known risk factor for impaired health-related quality of life and poor long-term outcomes after spine surgery, yet little is known about its impact in the perioperative spine surgery setting. Methods. Using the National Hospital Discharge Survey database, all patients undergoing either spinal fusion or laminectomy between 1990 and 2007 were identified and separated into groups with and without psychiatric disorders. Multivariable regression analysis was performed for each of the outcome variables. Results. Between 1990 and 2007, a total estimated number of 5,382,343 spinal fusions and laminectomies were performed. The prevalence of diagnosed depression, anxiety, and schizophrenia among the study population increased significantly over time. Depression, anxiety, schizophrenia, and dementia were associated with higher rates of nonroutine discharge. Depression, schizophrenia, and dementia were associated with higher rates of adverse events. Dementia was the only psychiatric disorder associated with a higher risk of in-hospital mortality. Conclusion. Patients with preoperative psychiatric disorders undergoing major spine surgery are at increased risk for perioperative adverse events and posthospitalization care, but its effect in perioperative mortality is more limited. Presurgical psychological screening of candidates undergoing spine surgery might ultimately lead to the enhancement of perioperative outcomes in this growing segment of the US population. Level of Evidence: N/A

Emerging Technology in Surgical Education: Combining Real-Time Augmented Reality and Wearable Computing Devices

The authors describe the first surgical case adopting the combination of real-time augmented reality and wearable computing devices such as Google Glass (Google Inc, Mountain View, California). A 66-year-old man presented to their institution for a total shoulder replacement after 5 years of progressive right shoulder pain and decreased range of motion. Throughout the surgical procedure, Google Glass was integrated with the Virtual Interactive Presence and Augmented Reality system (University of Alabama at Birmingham, Birmingham, Alabama), enabling the local surgeon to interact with the remote surgeon within the local surgical field. Surgery was well tolerated by the patient and early surgical results were encouraging, with an improvement of shoulder pain and greater range of motion. The combination of real-time augmented reality and wearable computing devices such as Google Glass holds much promise in the field of surgery.

Computerized adaptive testing of psychological factors: relation to upper-extremity disability.

BACKGROUND Psychological factors are important mediators of the differences between impairment and disability. The most commonly used measures of disability and psychological factors are lengthy and are usually administered as paper questionnaires. The aim of this study was to assess the correlation between perceived disability and psychological factors with use of the user-friendly, web-based Patient Reported Outcomes Measurement Information System initiative, and to compare its correlation with a frequently used, paper-based, pain self-efficacy questionnaire. METHODS A cohort of 213 patients completed a web-based version of the abbreviated version of the Disabilities of the Arm, Shoulder and Hand questionnaire (QuickDASH), the pain self-efficacy questionnaire, the Patient Reported Outcomes Measurement Information System-based computerized adaptive testing Pain Interference questionnaire, and the Patient Reported Outcomes Measurement Information System-based computerized adaptive testing Depression questionnaire. Bivariate and multivariable analyses measured the correlation of these psychological measures with QuickDASH. RESULTS There was large correlation between QuickDASH and the Pain Interference computerized adaptive testing (r = 0.74; p < 0.001), between the Pain Interference computerized adaptive testing and the pain self-efficacy questionnaire (r = -0.72; p < 0.001), and between QuickDASH and the pain self-efficacy questionnaire (r = -0.76; p < 0.001). The Depression computerized adaptive testing showed a medium correlation both with QuickDASH (r = 0.37; p < 0.001) and with the Pain Interference computerized adaptive testing (r = 0.40; p < 0.001). The best multivariable model for QuickDASH included the Pain Interference computerized adaptive testing, prior treatment received, and smoking, and accounted for 57% of the variability. Fifty-one percent of the variability in the QuickDASH was explained by pain interference alone. CONCLUSIONS Maladaptive responses to upper-extremity pain are accurately measured by the relatively user-friendly Patient Reported Outcomes Measurement Information System-based computerized adaptive testing questionnaire.

Physician Empathy as a Driver of Hand Surgery Patient Satisfaction

PURPOSE To examine the relationship between patient-rated physician empathy and patient satisfaction after a single new hand surgery office visit. METHODS Directly after the office visit, 112 consecutive new patients rated their overall satisfaction with the provider and completed the Consultation and Relational Empathy Measure, the Newest Vital Sign health literacy test, a sociodemographic survey, and 3 Patient-Reported Outcomes Measurement Information System-based questionnaires: Pain Interference, Upper-Extremity Function, and Depression. We also measured the waiting time in the office to see the physician, the duration of the visit, and the time from booking until appointment. Multivariable logistic and linear regression models were used to identify factors independently associated with patient satisfaction. RESULTS Patient-rated physician empathy correlated strongly with the degree of overall satisfaction with the provider. After controlling for confounding effects, greater empathy was independently associated with patient satisfaction, and it alone accounted for 65% of the variation in satisfaction scores. Older patient age was also associated with satisfaction. There were no differences between satisfied and dissatisfied patients with regard to waiting time in the office, duration of the appointment, time from booking until appointment, and health literacy. CONCLUSIONS Physician empathy was the strongest driver of patient satisfaction in the hand surgery office setting. As patient satisfaction plays a growing role in reimbursement, targeted educational programs to enhance empathic communication skills in hand surgeons merit consideration. TYPE OF STUDY/LEVEL OF EVIDENCE Prognostic II.

Trends in Gout and Rheumatoid Arthritis Hospitalizations in the United States, 1993-2011.

This population epidemiology study uses Nationwide Inpatient Sample data to describe trends in US hospitalizations for gout and rheumatoid arthritis between 1993 and 2011.

Predictors of extended length of stay after elective shoulder arthroplasty

BACKGROUND With policymakers and hospitals increasingly looking to cut costs, length of stay after surgery has come into focus as an area for improvement. Despite the increasing popularity of total shoulder arthroplasty, there is limited research about the factors contributing to prolonged hospital stay. We sought to identify preoperative and postoperative predictors of prolonged hospital stay in patients undergoing anatomic total shoulder arthroplasty (ATSA) and reverse total shoulder arthroplasty (RTSA). METHODS Using the 2011 Nationwide Inpatient Sample, we identified an estimated 40,869 patients who underwent elective total shoulder arthroplasty (62.5% ATSA; 37.5% RTSA) and separated them into those with normal length of stay (<75th percentile) and prolonged length of stay (>75th percentile). Multivariate logistic regression modeling was performed to identify factors associated with prolonged length of stay. RESULTS Patient-level factors associated with prolonged length of stay common to patients undergoing ATSA or RTSA included increasing age, female sex, congestive heart failure, renal failure, chronic pulmonary disease, and preoperative anemia. Provider-related factors were lower volume and location in the South or Northeast. Postoperative complications showed a significant influence as well. CONCLUSION Our data can be used to promptly identify patients at higher risk of prolonged hospitalization after elective shoulder arthroplasty and to ultimately improve quality of care and cost containment.

Inpatient surgical site infection after shoulder arthroplasty

BACKGROUND Surgical site infection (SSI) after joint arthroplasty is associated with prolonged hospitalization, reoperation, inferior outcomes, and substantial resource utilization. As the number of shoulder replacements performed in the United States continues to rise, measuring the incidence of inpatient SSI after hemiarthroplasty (HSA) and total shoulder arthroplasty (TSA), and associated risk factors for infection is worthwhile. METHODS Using the Nationwide Inpatient Sample (NIS), we reviewed 241,193 patients undergoing TSA or reverse TSA and 159,795 undergoing HSA between 2002 and 2011 and identified patients with an associated diagnosis of SSI during the admission. Demographic characteristics, preoperative diagnoses, further surgical procedures, associated comorbidities, and in-hospital events associated with SSI were sought in multivariable logistic regression analysis. RESULTS An in-hospital SSI developed in 0.08% of patients undergoing TSA or reverse TSA and in 0.11% of patients undergoing HSA. Independent risk factors for inpatient SSI included TSA vs HSA (odds ratio [OR], 1.83), Medicaid insurance vs private insurance (OR, 3.93), diagnosis of fracture nonunion (OR, 5.76), avascular necrosis (OR 2.71), or proximal humeral fracture (OR, 2.62) vs primary osteoarthritis, comorbidities, in-hospital events (blood transfusion, pneumonia, and acute renal failure), and increased duration of hospital stay. CONCLUSIONS The small percentage of SSI that occurs during the initial inpatient stay after shoulder arthroplasty is related to diagnoses other than primary osteoarthritis in more infirm patients with low-income government insurance (Medicaid). Patients considering shoulder arthroplasty can use this information to help decide between the potential improvement in comfort and function of the shoulder and the potential for major adverse events such as infection.

Health Literacy in Hand Surgery Patients: A Cross-Sectional Survey

PURPOSE To determine the prevalence of and factors associated with limited health literacy among outpatients presenting to an urban academic hospital-based hand surgeon. METHODS A cohort of 200 English- and Spanish-speaking patients completed the Newest Vital Sign (NVS) health literacy assessment tool, a sociodemographic survey, and 2 Patient-Reported Outcomes Measurement Information System-based computerized adaptive testing questionnaires: Patient-Reported Outcomes Measurement Information System Pain Interference and Upper-Extremity Function. The NVS scores were divided into limited (0-3) and adequate (4-6) health literacy. Multivariable regression modeling was used to identify independent predictors of limited health literacy. RESULTS A total of 86 patients (43%) had limited health literacy (English-speaking: 33%; Spanish-speaking: 100%). Factors associated with limited health literacy were advanced age, lower income, and being publicly insured or uninsured. Increasing years of education was a protective factor. Primary language was not included in the logistic regression model because all Spanish-speaking patients had limited health literacy. When evaluating health literacy on a continuum, primary language was the factor that most influenced the NVS scores, accounting for 14% of the variability. CONCLUSIONS Limited health literacy was commonplace among patients seeing a hand surgeon, more so in elderly and disadvantaged individuals. We hope our study raises awareness of this issue among hand surgeons and encourages providers to simplify messages and improve communication strategies. TYPE OF STUDY/LEVEL OF EVIDENCE Prognostic II.