Citations

Background: Statins have been associated with a reduced risk of primary liver cancer (PLC), primarily hepatocellular carcinoma (HCC). However, the optimal use for effective protection and whether benefits vary by patient characteristics remain unclear. We evaluated the association between statin use and PLC risk in metabolic-dysfunction-associated steatotic liver disease (MASLD), considering cumulative exposure and potential effect modifiers. Methods: We conducted a retrospective cohort study using the Veteran Affairs electronic health records. Patients with chronically elevated liver enzymes and metabolic dysfunction, without other chronic liver diseases, were identified between 2007 and 2009 and followed through 2019 for incident PLC. Statin exposure was assessed at baseline and during the follow-up, with dose standardization by LDL-lowering potency (simvastatin-equivalent units). Time to PLC was analyzed using Cox models adjusted for covariates, considering potential interactions. Results: Among 329,577 patients (92% male; median age 62 years), 0.82% developed PLC (median follow-up of 9.7 years). Baseline statin use showed a significantly lower PLC risk (adjusted hazard ratio 0.64; 95% CI, 0.57–0.71; p < 0.0001). No significant interaction was observed with age, sex, metabolic syndrome, or cirrhosis. Higher cumulative statin exposure demonstrated a dose-dependent risk reduction, remaining significant at simvastatin-equivalent doses > 15,561 mg annually after accounting for incident cirrhosis. Atorvastatin/rosuvastatin use provided comparable protection, despite different lipophilicity, and demonstrated stronger effects than others. Conclusions: In MASLD, statin therapy was associated with a dose-dependent PLC risk reduction. High-intensity therapy (simvastatin-equivalent > 40 mg daily) conferred substantial protection regardless of age, sex, insulin resistance, or cirrhosis, supporting a potential statin-based PLC chemoprevention in MASLD.

Background: Revision total hip arthroplasty (THA) rates are increasing, with instability, aseptic loosening, and infection identified as primary indications for surgery. Managing significant acetabular and femoral bone loss remains a complex challenge, requiring standardized classification systems to guide reconstruction strategies. Objective: This article reviews current surgical protocols and clinical outcomes for complex THA revisions, specifically focusing on the management of bone defects and periprosthetic fractures using techniques employed at the Mayo Clinic. Key Points: Preoperative evaluation must prioritize the exclusion of infection via inflammatory markers and joint aspiration. Acetabular reconstructions are categorized by the Paprosky classification; Type 3 defects often necessitate jumbo cups, porous tantalum augments, or custom triflange implants to achieve stability. In cases of pelvic discontinuity, tantalum cup-cage constructs or distraction techniques are utilized, showing high short-term survival despite risks of stress fractures or reduced bone stock. Femoral revisions utilize modular fluted tapered stems (TMFT) for Paprosky Type 3 and 4 defects, providing superior axial and longitudinal stability compared to cemented options. Extended lateral femoral osteotomy is frequently employed to facilitate component removal. Periprosthetic fractures are managed according to the Vancouver classification, with stable stems treated via internal fixation and loose stems requiring TMFT or proximal femoral replacement. Conclusion: Successful THA revision relies on meticulous preoperative planning and the selection of implants that ensure osseointegration and mechanical stability. The shift toward porous metal technology and modular femoral components has improved outcomes in cases of severe bone deficiency.

Objectives Uniformity artifacts caused by defective transducer elements or scanner malfunctions degrade diagnostic image quality. Traditional quality control (QC) methods, such as phantom testing and visual or quantitative image analysis, can be labor‐intensive and limited in test frequency. This study aims to develop a deep learning framework to detect uniformity artifacts and complement traditional QC. Methods Clinical median images were generated by aggregating co‐registered grayscale ultrasound images acquired by each transducer and computing median intensity values across the image stack. A pretrained ResNet‐18 model was fine‐tuned on a dataset consisting of clinical median images from linear and curvilinear transducers. The dataset was divided into training, validation, and testing subsets, ensuring no overlap between training and test transducers. To assess generalizability, the model was also evaluated on an independent test set of 396 phantom‐validated images from linear and curvilinear transducers. Results The model achieved 100% accuracy on the first dataset's test set. On the independent test set, it attained 87.4% accuracy with high sensitivity (0.84) and specificity (0.88), demonstrating robust generalization. Occlusion sensitivity maps confirmed the model's attention to uniformity artifact regions. Conclusion The deep learning framework using clinical median images demonstrated robust performance across several linear and curvilinear transducer models. It could be integrated into the clinical QC workflow by automating artifact detection in an effective and timely manner. In our practice, it can flag median images classified as artifact‐present, reducing human review time by approximately 80% while preserving detection accuracy.

Abstract Background. Pain drives disability and medication use in autoimmune rheumatic diseases (ARDs), even when inflammation is controlled. The extent of pain-related polypharmacy across ARDs and chronic overlapping pain conditions (COPCs) remains poorly characterized. We aimed to quantify first-year pain medication burden following ARD diagnosis and examine variations by disease, COPC status, and time. Methods. Using the Merative MarketScan Commercial Claims database, we identified adults newly diagnosed with rheumatoid arthritis, systemic lupus erythematosus, ankylosing spondylitis, psoriatic arthritis, Sjögren’s disease, or systemic sclerosis (2008–2021). We analyzed pain-related medications across ten pharmacologic categories during the first year post-diagnosis. Polypharmacy measures included distinct medication counts, medication categories, ≥ 5 and ≥ 10 medication thresholds, and the Medication Quantification Scale. Findings. Among 149,742 adults with newly diagnosed ARDs, 57.6% had at least one COPC. During the first year after diagnosis, patients filled a mean of 9.0 distinct pain medications and 47.9% met criteria for ≥ 5 medications; 30.5% met criteria for ≥ 10 medications. Ankylosing spondylitis demonstrated the highest medication burden (mean 11.6 medications; 57.5% with ≥ 5 medications; 37.9% with ≥ 10 medications). Patients with fibromyalgia had consistently higher medication burden across ARDs and were the only COPC group in whom prescribing increased after 2015. Overall medication burden rose from 2008 to 2014–2015 and declined thereafter; however, absolute levels remained high. Interpretation. Pain-related polypharmacy is common early after ARD diagnosis and varies substantially by disease and pain phenotype. Despite modest declines after 2015, medication burden remains high, underscoring the need for phenotype-informed, nonpharmacologic, and deprescribing strategies in rheumatology. Funding. NIAMS (K01AR079039).

ABSTRACT Background Sodium‐glucose cotransporter‐2 (SGLT2) inhibitors improve glycemic and cardiovascular outcomes in type 2 diabetes mellitus (T2DM). However, their impact on quality of life (QoL) and patient‐reported outcomes (PROs) has not been systematically evaluated. We conducted a systematic review and meta‐analysis to assess the effect of SGLT2 inhibitors on QoL in patients with T2DM. Methods MEDLINE, Embase, Scopus, Cochrane and ClinicalTrials.gov were searched until 18 August 2025 for randomised controlled trials and post hoc analyses of SGLT2 inhibitors reporting validated QoL or PRO outcomes in adults with T2DM. A random‐effects model was used to estimate mean differences (MD) or odds ratios (OR) with 95% CIs. Subgroup analyses compared SGLT2 inhibitors with placebo and active comparators. Risk of bias was assessed using the Cochrane RoB‐2 tool. Results Ten studies including 5294 patients (SGLT2i: 2807; control: 2487) were included. SGLT2 inhibitors significantly improved: EQ‐5D Index score versus placebo (MD: 0.04, p = 0.008), DTR‐QoL against active comparators (MD: 6.99; p = 0.0006), DTSQ compared to active comparators (MD: 0.54; p = 0.006) and IWQoL (MD: 1.44; p = 0.005) versus placebo. Improvements were also observed in SHIELD WQ‐9 overall QoL (OR: 2.11; p = 0.005), emotional health (OR: 2.16; p = 0.006), self‐esteem (OR: 2.26; p = 0.006) and work performance (OR: 1.99; p = 0.04) compared with placebo. Conclusion Randomised evidence suggests SGLT2 inhibitors enhance EQ‐5D Index score, diabetes‐specific QoL and several PROs in T2DM, particularly in physical, emotional and treatment satisfaction domains, supporting their earlier use in this population.

Background Hypermobile Ehlers–Danlos syndrome (hEDS) and hypermobility spectrum disorders (HSDs) are heritable connective tissue disorders characterized by widespread fragile soft connective tissue affecting the skin, ligaments, joints, vasculature, and internal organs. Although hEDS and HSD are autosomal-dominant conditions and would be expected to display a 1:1 sex ratio, studies report higher prevalence in women. Objectives The purpose of this exploratory study was to determine whether self-reported sexual problems differed between females and males diagnosed with hEDS or HSD compared with controls with chronic pain but no hypermobility. Methods In this exploratory retrospective study, we examined 1,407 patients diagnosed with hEDS or HSD according to the 2017 diagnostic criteria for eight indicators of sexual problems based on a validated screening tool. Results Patients in each diagnosis primarily self-reported as White, non-Hispanic females (90%). Of the 1,407 patients who attended the EDS Clinic, 976 (69%) were diagnosed with HSD, 240 (17%) with hEDS, and 191 (14%) were chronic pain controls with neither diagnosis. For HSD, 937 (96%) were females vs. 39 (4%) males (24:1 females to males), while for hEDS, 210 (88%) were females vs. 30 (13%) males (7:1 females to males), and controls were 165 (86%) females vs. 26 (14%) males (6:1 females to males). Females with hEDS reported significantly higher rates of sexual issues than chronic pain controls, including sexual problems (69%, p = 0.018), problems with sexual interest (41%, p = 0.023), sexual pain (45%, p = 0.006), and orgasm difficulty (34%, p = 0.022) compared with males with hEDS or males or females with HSD. In contrast, males diagnosed with hEDS did not report any sexual problems over controls, and males and females diagnosed with HSD reported only one issue—more problems with sexual interest—compared with controls (females p = 0.019, males p = 0.018). However, the small number of males in this study limits conclusions that can be drawn for them. Conclusions This study is unique because we examine sex differences in sexual problems in patients with hEDS and HSD. Our findings indicate a higher percentage of sexual problems in females with hEDS than chronic pain controls without hypermobility, but this was not observed for females with HSD.

Abstract Adipose‐derived cellular therapies (AD‐CTs) are increasingly used in orthopedics, yet the field lacks a standardized framework for classifying these heterogeneous products. Although prior efforts have standardized platelet‐rich plasma and bone marrow‐derived mesenchymal stromal cells, AD preparations remain inconsistently defined and poorly characterized. AD‐CTs encompass a range of products including enzymatically derived stromal vascular fraction, culture‐expanded adipose‐derived mesenchymal stromal cells (AD‐MSCs), and mechanically processed adipose tissue (AD‐MPT),each with distinct regulatory, cellular, and structural profiles. Unlike stromal vascular fraction and AD‐MSCs, which can be quantified using conventional assays, the intact extracellular matrix in AD‐MPTs complicates objective characterization. This paper introduces the Mechanical Processing (Harvesting) of Adipose Tissue classification system as a novel framework for standardizing the reporting of AD‐MPT harvesting and processing techniques that provides a structured approach to nomenclature and reporting. The system aims to enhance study comparability, facilitate research replication, and support the responsible advancement of adipose‐based therapies in musculoskeletal medicine.

ABSTRACT In normal health, the liver and lungs enjoy a close anatomic, physiologic, and functional relationship. In the context of pulmonary vascular disease, however, there is accumulating evidence that the interplay between the gut microbiome, hepatic system, and pulmonary vasculature (so‐called “gut‐liver‐lung” axis) plays an important role in driving disease pathogenesis and determining clinical outcomes. Despite recognizing the importance of the gut‐liver‐lung axis in pulmonary vascular disease however, little is known about the clinical characteristics, circulating factors, and physiologic pathways that mediate this important axis of communication. In this clinical and translationally focused review, we provide an overview of liver‐lung communication in normal physiology, and contrast this with gut‐liver‐lung derangements in pulmonary arterial hypertension, portopulmonary hypertension, and hepatopulmonary syndrome. We conclude with identifying key gaps in knowledge that will need to be addressed in order to manipulate the gut‐liver‐lung axis to prevent worsening pulmonary vascular disease, develop novel therapeutics, and improve patient outcomes.

Abstract Methods that map genetic risk to cells do not directly test whether spatially organized ligand–receptor (LR) gene annotations carry conditional heritability association. Here we introduce EdgeMap, which scores each gene by the spatial activity of its LR contexts in spatial transcriptomics data, maps these scores alongside cell-intrinsic annotations to SNP-level LD scores, and tests both jointly against GWAS summary statistics. Across 17 traits and five human tissues, edge z -scores are systematically higher in biologically matched tissues: all 15 traits with both matched and unmatched tissue classes show this ordering (median Δ z = 1.51 ; sign P = 3.1 × 10 −5 ), and 11 of 13 nominal-positive associations concentrate in the biologically matched set ( P = 1 × 10 −4 ). The pattern survives broad LR-gene-class and cell-type composition controls. Donor-level cross-section summaries, independent GWAS replication for LDL and CAD, and cell-segmented Visium HD liver data provide convergent support. A secondary analysis prioritizes constituent genes within active LR contexts; sixteen of 31 prioritized genes are absent from standard gene-level methods. These results establish spatially weighted LR-gene annotations as a complementary layer for interpreting complex-trait genetic architecture.

Objective: To evaluate the current literature on the role of collagen peptide supplementation in bone health, focusing on changes in bone turnover markers (BTMs) and bone mineral density (BMD). Data Sources: A search was conducted following PRISMA guidelines in the databases Academic Search Premier, APA PsychInfo, CINAHL Plus, GreenFILE, MEDLINE, and SPORTDiscus. Keywords included “collagen supplementation,” “bone turnover,” and “bone structure.” Studies published between January 2000 and March 2024 were included if they involved human subjects, oral collagen supplementation, and skeletal-related outcomes (BTMs or BMD). Risk of bias was assessed using the modified Physiotherapy Evidence Database (PEDro) scale. Main Results: Fifteen studies met the inclusion criteria. Collagen supplementation was associated with improvements in BTMs such as procollagen type I N-terminal propeptide and C-terminal telopeptide of type I collagen, as well as increases in BMD at whole body, femoral neck, and lumbar spine sites, particularly in postmenopausal women. However, neutral findings and substantial heterogeneity in study design, population characteristics, and dosing protocols were also observed. Conclusions: Collagen supplementation shows promise for supporting bone health, particularly in postmenopausal women, but the evidence remains inconsistent. Future research should address these gaps by focusing on premenopausal populations, standardizing dosing protocols, and exploring broader orthopedic applications, such as reducing stress fractures and enhancing recovery from musculoskeletal injuries.