RESUMO
BACKGROUND: Outcomes instruments are used to measure patients' subjective assessment of health status. The Patient-Reported Outcomes Measurement Information System (PROMIS) Global-10 was developed to be a concise yet comprehensive instrument that provides physical and mental health scores and an estimated EuroQol-5 Dimension (EQ-5D) score. METHODS: A total of 175 prospectively enrolled patients with shoulder instability completed the PROMIS Global-10, EQ-5D, American Shoulder and Elbow Surgeons (ASES), Single Assessment Numeric Evaluation (SANE), and Western Ontario Shoulder Instability Index. Spearman correlations between PROMIS scores and the legacy instruments were calculated. Bland-Altman analysis assessed agreement between estimated and actual EQ-5D scores. Floor and ceiling effects were recorded. RESULTS: Correlation between actual and estimated EQ-5D was excellent-good (0.64/p < 0.0005), but Bland-Altman agreement revealed high variability for estimated EQ-5D scores (95% CI: -0.30 to +0.34). Correlation of PROMIS physical scores was excellent-good with ASES (0.69/p < 0.0005), good with SANE (0.43/p<0.0005), and poor with WOSI (0.17/p = 0.13). Correlation between PROMIS mental scores and all legacy instruments was poor. CONCLUSIONS: PROMIS Global-10 physical function scores show high correlation with ASES but poor correlation with other legacy instruments, suggesting it is an unreliable outcomes instrument in populations with shoulder instability. The PROMIS Global-10 cannot replace actual EQ-5D scores for cost-effectiveness assessment in this population. LEVEL OF EVIDENCE: Level II, study of diagnostic test.
RESUMO
BACKGROUND: Understanding risk factors associated with prolonged opioid use to help mitigate abuse and develop presurgical screening programs to identify at-risk patients is paramount. The purpose of this study was to develop and validate a clinical risk assessment tool to preoperatively predict prolonged opioid use after shoulder surgery. METHODS: A total of 561 patients who underwent shoulder surgery within a tertiary health care system were identified, and opioid prescription data were retrospectively collected from the Connecticut Prescription Monitoring and Reporting System. The inclusion criteria were patients aged 18 years or older, and the exclusion criteria were patients not registered in the Connecticut Prescription Monitoring and Reporting System. Quantities of opioids prescribed were documented. Demographic characteristics, surgery type, medications, and medical comorbidities were identified by chart abstraction. Logistic regression was used to calculate odds ratios of patients using opioids longer than 6 weeks, and multivariate analysis was performed on 10 identified patient factors. A concordance index was used to calculate the discriminatory ability of a nomogram to predict prolonged opioid use. RESULTS: Multivariate analysis demonstrated that opioid use prior to surgery, insurance type, procedure type, body mass index, smoking status, and psychiatric disorders were responsible for prolonged opioid use. The prediction accuracy of this model was good, with a calculated concordance index of 0.766 (95% confidence interval, 0.736-0.820). CONCLUSIONS: We present a preoperative predictive calculator to help identify at-risk patients and quantify their risk of prolonged opioid use after shoulder surgery. This is a valuable clinical decision-making tool to identify patients benefitting from referral to pain management specialists and to possibly reduce the risk of opioid abuse and addiction.
