Trends in Opioid and Nonsteroidal Anti-Inflammatory Drug Use for Patients with Kidney Stones in United States Emergency Departments from 2015 to 2021.

Introduction: Renal colic is frequently treated with opioids; however, narcotic analgesic use can lead to dependence and abuse. We evaluated use trends of opioids and nonsteroidal anti-inflammatory drugs (NSAIDs) for pain management of kidney stones in United States emergency departments (EDs) from 2015 to 2021. Methods: Kidney stone encounters were identified using National Hospital Ambulatory Medical Care Survey data. We applied a multistage survey weighting procedure to account for selection probability, nonresponse, and population weights. Medication use trends were estimated through logistic regressions on the timing of the encounter, adjusted for selected demographic and clinical characteristics. Results: Between 2015 and 2021, there were an estimated 9,433,291 kidney stone encounters in United States EDs. Opioid use decreased significantly (annual odds ratio [OR]: 0.87, p = 0.003), and there was no significant trend in NSAID use. At discharge, male patients were more likely than females (OR: 1.93, p = 0.001) to receive opioids, and Black patients were less likely than White patients (OR: 0.34, p = 0.010) to receive opioids. Regional variation was also observed, with higher odds of discharge prescriptions in the West (OR: 3.15, p = 0.003) and Midwest (OR: 2.49, p = 0.010), compared with the Northeast. Thirty-five percent of patients received opioids that were stronger than morphine. Conclusion: These results suggest improved opioid stewardship from ED physicians in response to the national opioid epidemic. However, regional variation as well as disparities in discharge prescriptions for Black and female patients underscore opportunities for continued efforts.

Cardiac Biomarkers Predict Long-term Survival After Cardiac Surgery.

BACKGROUND: Cardiac biomarkers soluble ST-2 (sST-2) and N-terminal prohormone B-type natriuretic peptide (NT-proBNP) may be associated with long-term survival after cardiac surgery. This study explored the relationship between long-term survival after cardiac surgery and serum biomarker levels. METHODS: Patients undergoing cardiac surgery from 2004 to 2007 were enrolled in a prospective biomarker cohort in the Northern New England Cardiovascular Disease Study Group Registry. Preoperative serum biomarker levels, postoperative serum biomarker levels, and the change in serum biomarker levels were categorized by quartile. The study used Kaplan-Meier survival analysis and Cox regression models adjusted for variables in the American College of Cardiology Foundation-Society of Thoracic Surgeons Collaboration on the Comparative Effectiveness of Revascularization Strategy (ASCERT) long-term survival calculator to study the association of biomarker levels with long-term survival. After Kaplan-Meier analysis, quartiles 2 and 3 were found to have similar survival and were therefore combined into 1 category. RESULTS: In the study cohort (n = 1648), median follow-up time was 8.5 years (interquartile range, 7.6-9.7 years), during which there were 227 deaths. The 10-year survival rate was 86%. Kaplan-Meier survival analysis demonstrated a significant (P < .001) difference across quartiles of each biomarker level measurement. After adjustment, preoperative levels, postoperative levels, and the change in biomarker levels in quartile 4 (highest serum levels or change) were significantly predictive of worse survival (hazard ratio range, 1.77-2.89; all P < .05) compared with quartile 1; however, levels of sST-2 and NT-proBNP in quartiles 2 and 3 demonstrated a nonstatistically significant trend with long-term survival. CONCLUSIONS: Elevated preoperative and postoperative levels of sST-2 or NT-proBNP and large changes in these biomarkers' levels are associated with an increased risk of worse survival after cardiac surgery. These biomarkers can be used for risk stratification or assessing postsurgical prognosis.