Citations

Background: Sex differences in coronary physiology have been reported, particularly with regard to higher resting coronary flow in women. Resting flow is independently associated with clinical outcomes, irrespective of the presence of coronary microvascular dysfunction (CMD), but its sex-specific prognostic significance remains unclear. Aims: This study aimed to compare the prognostic implications of resting flow and CMD between sexes among patients with angina and non-obstructive coronary arteries (ANOCA). Methods: We studied 1194 patients with ANOCA undergoing coronary reactivity testing. Endothelium-independent microvascular function was assessed by coronary flow reserve (CFR) during adenosine-induced hyperemia, and endothelium-dependent function by coronary blood flow (CBF) increase during intracoronary acetylcholine infusion. Endothelium-dependent CMD was defined as <50% CBF increase, and endothelium-independent CMD as CFR <2.5. Cardiovascular events were defined as a composite of all-cause death, myocardial infarction and heart failure. Results: The median age of the study population was 52 years, and 71.1% were women. Resting average peak velocity (rAPV) and baseline CBF (bCBF) were significantly higher in women (p<0.001 and p=0.006, respectively). Survival analysis revealed that both elevated rAPV and bCBF were significantly associated with worse outcomes in men (p<0.001 and p=0.036, respectively, Figure 1), whereas no such associations were observed in women. In Cox proportional hazard analysis, sex showed a significant interaction effect with elevated rAPV (interaction p=0.014). Furthermore, endothelium-independent CMD was significantly associated with adverse outcomes in both men and women (p=0.011 and p=0.004, respectively), whereas endothelium-dependent CMD was significantly associated with prognosis only in men (p=0.006). Among men with endothelium-dependent CMD, the subtype characterized by higher bCBF was particularly associated with worse prognosis (p=0.001, Figure 2). Conclusions: In patients with ANOCA, men had lower resting coronary flow than women. However, its association with adverse outcomes was observed only in men, especially in those with impaired endothelial function. These results suggest that coronary physiology should be interpreted differently by sex, and that clinical decisions should be adjusted accordingly.

Background: Pathogenic/likely pathogenic (P/LP) variants in the RBM20-encoded RNA-binding protein motif 20 splicing factor result in a penetrant form of arrhythmogenic/dilated cardiomyopathy (ACM/DCM) characterized by ventricular arrhythmias (VA) and early-onset heart failure. The role of cardiac magnetic resonance (CMR) imaging in characterizing RBM20 cardiomyopathy and guiding risk stratification remains inadequately defined. Objectives: To characterize CMR phenotypes in patients with RBM20 cardiomyopathy and explore associations between variant type, CMR phenotype, and VA risk. Methods: Retrospective analysis of 1,061 genotype-positive ACM/DCM patients was used to identify individuals with P/LP arginine/serine-rich domain-localizing missense (RBM20msv) or truncating (RBM20tv) variants in RBM20. Clinical outcomes, including major VA (MVA; sudden cardiac arrest, sustained ventricular arrhythmia, or appropriate ICD therapy) events, were compared between RBM20msv and RBM20tv-positive patients. When available, CMR findings were also analyzed by variant type and correlated with MVA events. Results: Overall, 64 of 1,061 (6%) ACM/DCM patients possessed an RBM20msv or RBM20tv. Of those, 35 (mean age 38±16 years, 54% female, 94% Caucasian) underwent CMR. Late gadolinium enhancement (LGE) was present in 9/35 (26%), typically in a mid-myocardial septal or inferolateral pattern. Left ventricular (LV) noncompaction was noted in 9/35 (26%). Within the CMR subgroup, RBM20msv accounted for 29/35 (83%) of cases, while RBM20tv was observed in 6/35 (17%). No significant difference in LV ejection fraction (36±7% vs. 42±13%, p=0.358), LV end-diastolic volume index (100±32 mL/m2 vs. 118±44 mL/m2, p=0.342), or LGE prevalence (1/6 [17%] vs. 8/29 [28%], p=1.000) was observed between RBM20tv- and RBM20msv-positive patients. However, MVA events were more frequent among RBM20tv-positive patients in the CMR subset (3/6 [50%] vs. 2/29 [7%], p=0.026) and the overall cohort (7/15 [47%] vs. 6/49 [12%], p=0.008). Conclusions: RBM20tv-positive patients experienced a higher rate of MVA events despite similar rates of LGE and structural remodeling compared to those with RBM20msv. Future studies are needed to determine whether mechanisms independent of fibrosis/re-entry drive arrhythmogenesis in RBM20tv-positive patients and to establish if RBM20tv represents an independent risk factor for MVA events that merits incorporation into genotype-specific risk stratification strategies.

Background: Arrhythmogenic and dilated cardiomyopathies (ACM/DCM) are associated with adverse cardiovascular outcomes, including sudden death. Artificial intelligence (AI)-enabled electrocardiographic aging algorithms estimate biological age from 12-lead tracings and predict cardiovascular outcomes in the general population. However, their utility in genetic ACM/DCM has not been studied. Methods: Retrospective review of 1,045 genotype-positive ACM/DCM patients was used to identify those with a pathogenic/likely pathogenic variant in ClinGen-classified definitive/strong evidence ACM/DCM-susceptibility genes. Following exclusion of patients without a baseline ECG for analysis (e.g. paced rhythms), the AI-ECG age gap (AI-EAG) was calculated by subtracting chronological from AI-ECG age. Genes were grouped into functional categories: desmosomal ( PKP2, DSP, DSG2, DSC2, JUP ), nuclear envelope ( LMNA ), sarcomeric ( TTN, MYH7, TNNT2 ), cytoskeleton/Z-disc ( FLNC, DES, DMD, BAG3 ), and regulatory/ion channel ( PLN, RBM20, SCN5A ). Cardiac MRI data included left ventricular structure, function, and late gadolinium enhancement (LGE) presence and pattern. Mann-Whitney U was used for group comparisons; results are shown as median (IQR). Results: Overall, 824 patients (52.8% male; median age of 40.7 years, IQR 26.5–53.4; and median AI-EAG of 7.49 years, IQR 0.43–15.26) were included. DES variant-positive patients had the highest (19.98 years, IQR 9.66–23.21) and BAG3 variant-positive patients the lowest (–0.95 years, IQR -6.05–7.61) AI-EAGs. Among gene groups, nuclear envelope had the highest (15.12 years, IQR 6.79–25.17) and sarcomeric the lowest (5.75 years, IQR -0.69-14.01) AI-EAGs. Cardiac MRI was available for 538/824 (65%) of which 233/538 (43.3%) had LGE. No significant difference in AI-EAG was observed between LGE-positive and -negative patients (6.99 vs. 7.94 years; p=0.831). However, several LGE patterns were associated with significantly higher AI-EAGs: subepicardial (9.88 vs. 6.84; p=0.004), transmural (13.83 vs. 7.25; p=0.012), apical (12.89 vs. 7.17; p=0.002), and septal (8.91 vs. 7.19; p=0.016). Conclusion: AI-EAG varies by gene and functional group, possibly reflecting gene-specific myocardial remodeling. While certain LGE patterns were linked to increased biological aging, overall LGE status was not. These findings suggest AI-EAG may capture disease activity that is distinct from LGE and could serve as a complementary, non-invasive biomarker in genetic ACM/DCM.

Treatment-induced ovarian function loss is a significant concern for many young patients with breast cancer. Accurately predicting this risk is crucial for counselling young patients and informing their fertility-related decision-making. However, current risk prediction models for treatment-related ovarian function loss have limitations. To provide a broader representation of patient cohorts and improve feature selection, we combined retrospective data from six datasets within the FoRECAsT (Infertility after Cancer Predictor) databank, including 2679 pre-menopausal women diagnosed with breast cancer. This combined dataset presented notable missingness, prompting us to employ cross imputation using the k-nearest neighbours (KNN) machine learning (ML) algorithm. Employing Lasso regression, we developed an ML model to forecast the risk of treatment-related amenorrhea as a surrogate marker of ovarian function loss at 12 months after starting chemotherapy. Our model identified 20 variables significantly associated with risk of developing amenorrhea. Internal validation resulted in an area under the receiver operating characteristic curve (AUC) of 0.820 (95% CI: 0.817–0.823), while external validation with another dataset demonstrated an AUC of 0.743 (95% CI: 0.666–0.818). A cutoff of 0.20 was chosen to achieve higher sensitivity in validation, as false negatives—patients incorrectly classified as likely to regain menses—could miss timely opportunities for fertility preservation if desired. At this threshold, internal validation yielded sensitivity and precision rates of 91.3% and 61.7%, respectively, while external validation showed 92.9% and 60.0%. Leveraging ML methodologies, we not only devised a model for personalised risk prediction of amenorrhea, demonstrating substantial enhancements over existing models but also showcased a robust framework for maximally harnessing available data sources.

Background: HIV outcomes in people with HIV (PWH) are suboptimal and inequitably distributed in the United States. Long-acting injectable antiretroviral therapy (LAI-ART) has potential to make important contributions to improving HIV outcomes and quality of life for PWH. Methods: The SELIGO Study used a 1-time, 20-minute survey of 801 PWH from the Center for AIDS Research Network of Integrated Clinical Systems cohort in 3 US cities (Boston, MA; Chapel Hill, NC; San Diego, CA) that included 54 items. Using multinomial and binary logistic regression, we assessed factors associated with LAI-ART versus daily oral ART preferences. Results: Most participants were cisgender men (82.3%); 57.0% identified as racial and/or ethnic minorities; mean years of age, 52.2; mean years living with HIV, 18.1; 2.8% were using LAI-ART. Compared with daily oral ART, 56.9% preferred LAI-ART administered monthly, and 68.0% preferred LAI-ART administered every 2 months. Factors associated with greater odds of LAI-ART preference included medication/contraception injection experience, pill burden, no medication other than ART, 4 or more clinic visits per year, detectable viral load, reporting a higher number of HIV treatment considerations, and identifying as Black. Factors associated with decreased odds of LAI-ART preference included older age, identifying as neither gay nor straight, living > 1 hour from the clinic, and considerable/extreme needle fear. Conclusions: Findings demonstrate that although there is considerable interest in LAI-ART, HIV treatment modality preferences are multifaceted. Shared decision making can ensure that conversations about ART options consistently address specific factors across diverse groups to facilitate equitable LAI-ART uptake.

Abstract Background and Aims Although the choice of dialysis technique is based on several factors, patient survival is undoubtedly one of the most relevant. In a context where randomization to either peritoneal dialysis (PD) or hemodialysis (HD) proved to be extremely challenging, previous meta-analyses were greatly limited due to the inclusion of historical studies. Method We performed a systematic review by searching multiple databases up to April 22nd, 2022. We included studies meeting the following criteria: adult patients (&gt;18 years) with end-stage kidney disease on dialysis; comparison of PD versus HD; reporting mortality data via intention-to-treat analysis; initiation of dialysis after 2000; patient classification by dialysis modality at 90 days post-initiation; and ≥50 patients per group (Figs 1 and 2). The primary outcome was the association between dialysis modality (PD vs HD) and mortality assessed via hazard ratios (HR) [Fig. 3]. Subgroup analyses were conducted to explore potential sources of heterogeneity, including sex, age, diabetes, dialysis vintage, geographical location, HD access, and study cohort inclusion period [Figs 4 and 5]. Results Database search yielded 5317 citations, from which, 27 observational studies met the eligibility criteria, including 1 033 362 incident dialysis patients [Figs 1 and 2]. The pooled mortality HR for PD versus HD was 1.01 (95% CI 0.93–1.10 [Fig. 3]). Heterogeneity was substantial (I2 = 94%) and was largely explained by different baseline features of the included populations. A statistically significant subgroup effect was demonstrated for age (&gt;65 vs.&lt;65 years; P = 0.01), geographical location of the studies (Oceania vs. Europe vs. Asia vs. North America; P &lt; 0.01), and HD vascular access (central venous catheter vs. arteriovenous fistula; P &lt; 0.01, only one study included) [Figs 4 and 5]. Conclusion This meta-analysis suggests that overall PD and incentre HD likely carry equivalent survival benefits. However, differences were detected among subgroups based on age, geographic location, HD access type, but not on sex, diabetes status, dialysis vintage and study cohort inclusion period.

Multiple myeloma (MM) is consistently preceded by monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM). While these precursor conditions are asymptomatic, they are not entirely benign and carry a lifelong risk of progression to MM. Unlike other cancers defined by pathology, malignant transformation from MGUS or SMM to MM has so far relied on demonstration of clinical end-organ damage as morphology and cytogenetics cannot reliably distinguish them. In this study, using genomic data from 374 patients with MGUS or SMM (277 training, 97 validation), to our knowledge, we demonstrate for the first time the ability to identify malignant transformation in MGUS and SMM. We introduce the concept of genomic MM and genomic MGUS to differentiate the subsets of MGUS and SMM that are biologically malignant with genomic features indistinguishable from MM from the subset that is premalignant and unlikely to progress to malignancy. Importantly, we find that most SMM has biological features of malignant transformation indistinguishable from MM. As expected, this subset that we consider having genomic MM is associated with a high risk of progression to MM although some patients remained progression-free beyond 5 years. Conversely, 60% of MGUS and 10% of SMM have no evidence of malignant transformation (genomic MGUS), with no progression during follow-up. Integration of genomic features with the 2/20/20 International Myeloma Working Group model significantly improved the prediction of progression among genomic MM. These findings support the use of genomic criteria to refine the classification and the risk stratification in myeloma precursor conditions.

ABSTRACT Background and Objectives Neoadjuvant chemoimmunotherapy (NACI) for node‐positive breast cancer may induce immune cell activation in regional lymph nodes (LN), confounding post‐NACI imaging. Here we evaluated RECIST 1.1 criteria to predict post‐NACI pathologic LN status. Methods We studied patients with biopsy‐proven cN+ non‐distant metastatic breast cancer receiving NACI operated on 03/2020–09/2024 with both pre‐ and post‐NACI cross‐sectional imaging. Per RECIST 1.1, LN short axis diameter (SAD) was measured in target (defined as SAD ≥ 15 mm) and nontarget (SAD 10–14.9 mm) LNs. Groups were compared using Fisher′s exact test. Results 75 patients, median age 53 years, were studied: 61% cN1, 12% cN2, and 27% cN3. Baseline median number of imaging‐suspicious LN was 4 (IQR 2‐5). Post‐NACI, 64% had a nodal pathologic complete response (pCR/ypN0). 55% met RECIST 1.1 LN assessment criteria. 21 of 32 (66%) with an imaging CR (iCR) were ypN0, while 8 of 9 (89%) without an iCR were ypN0. Neither target ( p = 0.24) nor combined target/nontarget LN iCR ( p = 0.76) predicted ypN status. Nodal pCR rates were higher in those with ≤ 1 versus > 1 suspicious LN post‐NACI (71% vs. 42%, p = 0.03). Conclusions RECIST 1.1 criteria did not predict nodal pCR for NACI‐treated node‐positive breast cancer patients. Other post‐NACI imaging assessment strategies are needed.

Importance Multiparametric magnetic resonance imaging (MRI), with or without prostate biopsy, has become the standard of care for diagnosing clinically significant prostate cancer. Resource capacity limits widespread adoption. Biparametric MRI, which omits the gadolinium contrast sequence, is a shorter and cheaper alternative offering time-saving capacity gains for health systems globally. Objective To assess whether biparametric MRI is noninferior to multiparametric MRI for diagnosis of clinically significant prostate cancer. Design, Setting, and Participants A prospective, multicenter, within-patient, noninferiority trial of biopsy-naive men from 22 centers (12 countries) with clinical suspicion of prostate cancer (elevated prostate-specific antigen [PSA] level and/or abnormal digital rectal examination findings) from April 2022 to September 2023, with the last follow-up conducted on December 3, 2024. Interventions Participants underwent multiparametric MRI, comprising T2-weighted, diffusion-weighted, and dynamic contrast–enhanced (DCE) sequences. Radiologists reported abbreviated biparametric MRI first (T2-weighted and diffusion-weighted), blinded to the DCE sequence. After unblinding, radiologists reported the full multiparametric MRI. Patients underwent a targeted biopsy with or without systematic biopsy if either biparametric MRI or multiparametric MRI was suggestive of clinically significant prostate cancer. Main outcomes and measures The primary outcome was the proportion of men with clinically significant prostate cancer. Secondary outcomes included the proportion of men with clinically insignificant cancer. The noninferiority margin was 5%. Results Of 555 men recruited, 490 were included for primary outcome analysis. Median age was 65 (IQR, 59-70) years and median PSA level was 5.6 (IQR, 4.4-8.0) ng/mL. The proportion of patients with abnormal digital rectal examination findings was 12.7%. Biparametric MRI was noninferior to multiparametric MRI, detecting clinically significant prostate cancer in 143 of 490 men (29.2%), compared with 145 of 490 men (29.6%) (difference, −0.4 [95% CI, −1.2 to 0.4] percentage points; P = .50). Biparametric MRI detected clinically insignificant cancer in 45 of 490 men (9.2%), compared with 47 of 490 men (9.6%) with the use of multiparametric MRI (difference, −0.4 [95% CI, −1.2 to 0.4] percentage points). Central quality control demonstrated that 99% of scans were of adequate diagnostic quality. Conclusion and relevance In men with suspected prostate cancer, provided image quality is adequate, an abbreviated biparametric MRI scan, with or without targeted biopsy, could become the new standard of care for prostate cancer diagnosis. With approximately 4 million prostate MRIs performed globally annually, adopting biparametric MRI could substantially increase scanner throughput and reduce costs worldwide. Trial registration ClinicalTrials.gov Identifier: NCT04571840