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Background Radionuclide SPECT/computed tomography (CT) is standard for diagnosing transthyretin cardiac amyloidosis (ATTR-CM), but the prognostic value of quantitative metrics remains incompletely defined. We investigated their prognostic utility and additive value beyond existing staging systems. Methods Retrospective study of patients undergoing technetium-99m-pyrophosphate (PYP) SPECT/CT, including consecutive clinically referred patients (October 2023 to 2024) and trial participants with positive scans from January 2022. Myocardial PYP was quantified using standardized uptake values (SUV mean and SUV max ) and volumetric measures [percent injected dose (%ID), cardiac amyloid activity (CAA)]. Major adverse cardiovascular events (MACEs) comprised heart failure hospitalization or death. Cox and Kaplan–Meier analyses assessed associations; likelihood ratio testing and change in area under the curve (AUC) evaluated the additive prognostic value to existing staging systems. Results Among 43 patients with ATTR-CM, 16 experienced MACE over a median 518 days. AUCs ranged from 0.74 to 0.88 at 3 months and 0.56–0.62 at 12 months. All variables trended toward association with MACE: SUV mean ( P = 0.02), SUV max ( P = 0.03), %ID ( P = 0.06), and CAA ( P = 0.06). After age adjustment, cut-points for SUV max (5.8) and SUV mean (3.5) remained associated with MACE. Adding imaging variables to the National Amyloidosis Centre and Columbia staging systems did not significantly improve prognostic accuracy (Δ χ 2 : 0.40–2.48, P = 0.11–0.53). Interobserver reproducibility was high (intraclass correlation coefficients = 0.89–0.99). Conclusion Quantitative Tc-99m–PYP SPECT/CT metrics were associated with short-term outcomes in ATTR-CM, but did not improve established staging systems. Findings are hypothesis-generating and require validation in larger cohorts.

Importance Opioid prescribing has decreased in the US for more than a decade. However, less is known about how prescribing trends differ by prescriber specialty and separately for short-term and long-term opioid prescribing for which the indications, clinical decision-making, and potential for harm vary substantially. Objective To characterize opioid analgesic prescribing trends in the US between January 1, 2010, and December 31, 2024, by prescriber specialty, analyzing short-term and long-term opioid use episodes separately. Design, Setting, and Participants This cross-sectional study used administrative claims data for commercially insured and Medicare Advantage patients (aged ≥65 years and <65 years with long-term disability) with at least 90 days of enrollment in medical and prescription coverage. Statistical analysis was performed from May 2025 to September 2025. Main Outcomes and Measures Prescribing volume, daily dose, and prescription duration. Results The study identified 110 288 218 opioid fills by 14 959 612 patients during the 15-year study period. Among opioid fills, 59.4% were attributed to female patients; the median (IQR) age at opioid fill was 61 (50-71) years. From 2010 to 2024, decreases in opioid prescribing were greater for long-term than short-term opioid use episodes (eg, commercial cohort: 81.3% reduction [from 33.2 fills per 100-person years in 2010 to 6.2 in 2024] and 74.6% reduction [from 36.2 fills per 100-person years in 2010 to 9.2 in 2024]), respectively. The proportion of all opioid fills written by primary care clinicians decreased (eg, Medicare Advantage with disability cohort: from 52.2% to 47.2%), whereas those written by pain medicine specialists increased (eg, Medicare Advantage with disability cohort: from 17.1% to 25.7%). Distinct trends for short-term and long-term opioid use episodes were observed in prescription characteristics, such as daily dose and duration. Conclusions and Relevance In this cross-sectional study of opioid prescribing trends in the US between 2010 and 2024, decreases in prescribing were greatest in long-term opioid use episodes, and prescribing was increasingly concentrated among pain medicine specialists. These findings suggest the need to balance reductions in opioid prescribing with provision of nonopioid pain treatments and raise concerns about access to care for patients taking opioids for chronic pain management.

BACKGROUND: Aortic enlargement is a powerful predictor of dissection and rupture, yet it is rarely evaluated during routine myocardial perfusion imaging, despite the widespread availability of computed tomography (CT) attenuation correction scans. The aim of this study was to determine whether fully automated, opportunistically derived, artificial intelligence-based aortic measurements from myocardial perfusion imaging CT attenuation correction scans are associated with adverse outcomes in a large multicenter cohort. METHODS: CT attenuation correction scans from patients undergoing positron emission tomography/CT and single-photon emission CT/CT myocardial perfusion imaging across 10 centers were included. A deep learning model automatically segmented the thoracic aorta, and a postprocessing algorithm extracted maximum ascending and descending diameters. The aortic size index was calculated by indexing the diameter to body surface area. RESULTS: A total of 29 339 patients (56% men; median age, 66 years [interquartile range, 58–75 years]) were included. Over a median follow-up of 3.5 years (interquartile range, 1.9–5.0 years), 5083 (17.3%) patients died. Median ascending and descending aortic size index values were 1.8 cm/m 2 (interquartile range, 1.6–2.0) and 1.5 cm/m 2 (interquartile range, 1.4–1.6), respectively, with an increase with age and higher values in females. Elevated aortic size index thresholds (ascending >2.2 cm/m 2 ; descending >1.6 cm/m 2 ) were significantly associated with increased all-cause mortality (ascending: adjusted hazard ratio, 1.16 [95% CI, 1.07–1.26], P <0.001; descending: adjusted hazard ratio, 1.23 [95% CI, 1.14–1.31]; P <0.001). Notably, the prognostic value of an abnormal aortic size index persisted independent of age, sex, and perfusion abnormalities. CONCLUSIONS: Artificial intelligence can unlock previously unused information within routine myocardial perfusion imaging CT attenuation correction scans by rapidly and automatically quantifying aortic size at scale. Opportunistic aortic measurements derived from CT attenuation correction may serve as an adjunctive risk biomarker and could add prognostic value to standard myocardial perfusion imaging without additional imaging or radiation.

Background/Objectives: In the United States, HF prevalence is projected to progressively rise by 2030. Prior research suggests a strong association between reduced sleep duration and increased cardiovascular disease and HF risk. This study introduces an alternative parameter, the weekend sleep recovery (WSR), measured by the weekend-to-weekday sleep duration ratio (SDR), to evaluate its association with HF risk. Methods: We conducted a cross-sectional analysis of NHANES (National Health and Nutrition Examination Survey) 2017–2023 to examine self-reported sleep patterns. Participants were classified as WSR (SDR > 1) or non-WSR (SDR ≤ 1). Multivariate logistic regression assessed the association between WSR and HF, adjusting for demographics and comorbidities. Results: Among 8320 participants included in the fully adjusted analysis, WSR was associated with lower odds of HF compared with non-WSR (adjusted OR 0.73, 95% CI 0.55–0.96; p = 0.026). A significant interaction was observed between WSR and weekday sleep duration (P for interaction = 0.003), whereas no interaction was found with weekend sleep duration. In exploratory subgroup analyses, nominally significant associations were observed in several clinical subgroups; however, after correction for multiple comparisons, only participants without dyslipidemia retained statistical significance. No significant effect modification by race/ethnicity was observed (P for interaction = 0.436). Conclusions: Weekend sleep recovery was associated with lower odds of HF in this cross-sectional study. The association varied according to weekday sleep duration but was generally consistent across racial/ethnic groups. Given the observational design, these findings should be interpreted as associative rather than causal and warrant confirmation in prospective studies.

Background: Patients with spina bifida are living longer and more productive lives; however, many continue to experience functional limitations in adulthood. This study evaluated long-term functional progression and ambulatory status using the combined Myelomeningocele Functional Classification (MMFC) and Functional Mobility Scale (FMS), and examined factors associated with long-term changes. Methods: A retrospective review at a tertiary care rehabilitation center identified 168 patients with spina bifida. MMFC and FMS classifications were recorded at initial and final visits. A subgroup of ambulatory patients who underwent 3D-gait analysis was analyzed to assess the relationship between MMFC, body mass index (BMI), and functional speed (FS) using multiple linear regression. Results: The average follow-up was 15±10.31 years. The mean age at final follow-up was 20 years (range, 5 to 52), with 52% of patients being male. Fifty-two percent of patients were ≥18 years of age at final follow-up. Within the MMFC1 cohort, 48% used wheelchair mobility (FMS 1,1,1) at initial presentation; this increased to 80% at final follow-up. Eighty percent of the MMFC2 patients were able to complete the 50-yard walk test at initial classification, whereas only 60% were able to complete it at final follow-up. Within the MMFC3 cohort, there was a decline in patients requiring no external support (FMS 6,6,6) from 90% to 78%. All MMFC4 patients maintained an FMS of 6,6,6. A statistically significant relationship was found between functional speed (FS) and MMFC (with MMFC4 faster than MMFC3 and MMFC2) ( P =0.01414). Conclusions: Long-term follow-up demonstrates that functional classification may decline over time in MMFC1 to 3 cohorts, whereas MMFC4 remains stable. In addition, within individual cohorts (MMFC1 to 3), there was also a decline in FMS and functional walk testing. A positive and statistically significant relationship was observed between gait analysis FS and MMFC, and a negative and statistically significant relationship was observed between BMI and MMFC. The combined use of MMFC and FMS provides a structured framework for longitudinal functional assessment in patients with spina bifida. Level of evidence: Level III.

Through a Delphi process, all 33 panelists reached consensus on topics relating to MRI reporting of knee meniscus lesions, demonstrating that interdisciplinary and multi-institutional standardization is possible.