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Importance Treatment for cognitive dysfunction due to postacute sequelae of long COVID (ie, symptoms of fatigue, malaise, weakness, confusion that persist beyond 12 weeks after an initial COVID infection) remains a significant unmet need. Objective To test evidence-based rehabilitation strategies for improving cognitive symptoms in persons with long COVID. Design, Setting, and Participants This was a 5-arm, multicenter, randomized clinical trial of 3 remotely delivered interventions conducted between August 17, 2023, and June 10, 2024. The study took place at 22 trial sites and included the screening of individuals with cognitive long COVID. Interventions Participants were randomized to 1 of 5 arms: adaptive computerized cognitive training (BrainHQ [Posit Science]), cognitive-behavioral rehabilitation involving both group and individual counseling sessions (PASC-Cognitive Recovery [PASC-CoRE]) paired with BrainHQ, and transcranial direct current stimulation (tDCS) paired with BrainHQ. Two comparator arms were included as follows: unstructured computer puzzles and games (active comparator) and sham tDCS paired with BrainHQ. The interventions occurred 5 times per week over 10 weeks. Main Outcomes and Measures Cognitive and behavioral in-person assessments were performed at baseline, midintervention, at the end of intervention, and 3 months after the end of the intervention. The primary outcome measure was the modified Everyday Cognition Scale 2 (ECog2) completed at the end of the intervention compared to the baseline visit based on participant self-report looking back over the prior 7 days. Results A total of 378 individuals were screened, from which there were 328 participants (median [IQR] age, 48.0 [37.0-58.0] years; 241 female [73.5%]; race: 15 Asian [4.6%], 47 Black [14.3%], and 235 White [71.6%]; ethnicity: 52 Hispanic [15.9%]). None of the 3 active interventions demonstrated benefits on the modified ECog2 in the intention-to-treat population by the end of the intervention period. The adjusted differences in mean change were 0.0 (95% CI, −0.2 to 0.2) for BrainHQ vs active comparator, 0.1 (95% CI, −0.1 to 0.3) for PASC-CoRE + BrainHQ vs active comparator, 0.0 (95% CI, −0.2 to 0.2) for tDCS-active + BrainHQ vs tDCS-sham + BrainHQ, and 0.1 (95% CI, −0.1 to 0.3) for PASC-CoRE + BrainHQ vs BrainHQ alone. Secondary participant-reported outcomes and neuropsychological tests showed no differential benefits for any treatment arm. All 5 arms demonstrated some improvements over time on the modified ECog2 and on secondary outcomes. There were no serious adverse events attributable to the interventions. Conclusions and Relevance This phase 2 randomized clinical trial failed to demonstrate differential benefits for online cognitive training, a structured cognitive rehabilitation program, and tDCS for cognitive long COVID. Trial Registration ClinicalTrials.gov Identifier: NCT05965739 .

Abstract This brief report details the initial findings from a Phase 1b/2 trial of TN-201, an adeno-associated virus serotype 9 (AAV9) gene therapy for MYBPC3-associated hypertrophic cardiomyopathy (HCM), a condition with significant morbidity, increased risk of mortality, and no approved therapy for the majority of patients. TN-201 was well tolerated, and changes to the management of potential immune responses resulted in a shorter period of immunosuppression. These results show consistent transduction and expression of TN-201 in cardiomyocytes, corresponding with increases in MyBP-C levels, reductions or stabilization of cardiac biomarkers, and reductions in key measures of left ventricular (LV) hypertrophy.

Introduction: Diastolic dysfunction is a hallmark of heart failure with preserved ejection fraction, yet echocardiographic grading is challenging in patients with hypertrophic or amyloid cardiomyopathies due to variable structural and functional remodeling. Consequently, there is a need for additional diagnostic tools to identify patients at increased risk of diastolic dysfunction and enhanced filling pressure. Research Question: What is the accuracy of an artificial intelligence (AI)-enabled electrocardiogram (ECG) model to predict diastolic dysfunction in hypertrophic and amyloid cardiomyopathy? Methods: We included patients with diverse phenotypes of hypertrophic cardiomyopathy (HCM) and cardiac amyloidosis and validated Mayo Clinic's AI-enabled ECG model to grade diastolic function (normal: grade 0/1; abnormal: grade 2/3). Echocardiographic analysis of systolic (LVEF) and diastolic function was performed within 14 days of ECG recording. Diastolic function was graded based on E/e’ (>14), left atrial volume index (>34 mL/m2), pulmonary venous atrial reversal flow duration (≥30 ms), and peak tricuspid regurgitation velocity (>2.8 m/s). Filling pressure was considered increased if ≥3 parameters were abnormal, inconclusive if 2 were abnomal, and normal if ≥3 were normal. Echocardiograms with severe mitral regurgitation were excluded. Results: We identified and matched 840 ECGs from non-obstructive HCM patients (n=125, age 58±19y, 70% male), 145 ECGs from obstructive HCM patients (n=29, age 56±18y, 66% male), 225 ECGs from apical HCM patients (n=33, age 66±14y, 61% male), and 382 ECGs from cardiac amyloidosis patients (n=49, age 70±13y, 57% male). The AI-enabled ECG model predicted diastolic dysfunction with an accuracy of 65% (non-obstructive HCM), 67% (obstructive HCM), 65% (apical HCM), and 75% (cardiac amyloidosis), with sensitivities of 94% and 97% for obstructive HCM and cardiac amyloidosis, respectively, and high positive and negative predictive values for cardiac amyloidosis. Systolic dysfunction (LVEF≤40%) was more common in cardiac amyloidosis (29%) than in all HCM patients (5%). Conclusion: The AI-enabled ECG model demonstrates moderate accuracy but high sensitivity for detecting diastolic dysfunction and increased filling pressure, especially in obstructive HCM and cardiac amyloidosis. The AI-enabled ECG is a useful, widely scalable, and low cost tool to identify patients at increased risk for diastolic dysfunction.

Background: Fontan circulation is characterized by the absence of a subpulmonary ventricle with resultant systemic venous hypertension. Despite exercise intolerance being nearly universal in this population, the determinants of exercise capacity in this population are still poorly understood. Research Question: We investigated the prevalence of peripheral impairment and assessed the contribution of peripheral O 2 extraction versus central hemodynamics to peak O 2 consumption (pVO 2 ) post-Fontan palliation. Methods: This single-center retrospective cross-sectional study compared 52 consecutive adults post-Fontan procedure who underwent exercise catheterization to patients with heart failure with preserved ejection fraction (HFpEF) and non-cardiac dyspnea (NCD) at 1:1 ratio. Several previously reported measures for peripheral O 2 extraction were evaluated in the absence of a golden standard. Correlates of pVO 2 were identified by multivariate linear regression analyses using the backward selection method. Results: Patients with Fontan circulation were younger [age 32 (24;36) years] and tended to have a lower body mass index [26 (23; 29) kg/m 2 ] compared to patients with HFpEF [70 (57; 75) years, p<0.001 and 33 (27; 39) kg/m 2 , p<0.001] and NCD [48 (38; 61) years, p<0.001 and 27 (24; 35) kg/m 2 , p=0.08]. Peak heart rate [108 (85;126) vs 108 (95;125) bpm] and indexed stroke volume [46 (39;54) vs 45 (40;53) ml/m 2 ] were similar in the Fontan and HFpEF groups but lower compared to NCD [126 (108;141) bpm, p<0.001 and 51 (45;59) ml/m 2 , p<0.001]. Peak mean pulmonary artery pressures were highest in HFpEF [45 (41;50) mmHg, p<0.001], followed by Fontan and NCD [26 (22;31) vs 23 (19;25) mmHg, p=0.03]. Median peak O 2 extraction post-Fontan was comparable to HFpEF [12 (10;14) vs 11 (10;13) ml/dl, p=0.17] but higher than in NCD [10 (9;12) ml/dl, p<0.001]. It was <14 ml/dl in 73% compared to 94% and 98% of patients with HFpEF and NCD [p<0.001]. O 2 extraction ratio was <70% in 62% compared to 60% in HFpEF and 96% in NCD [p<0.001]. Correlates of pVO 2 post-Fontan were peak O 2 extraction [β 0.5±0.1 per ml/dl; p<0.001], mean pulmonary artery pressures [β -0.2±0.05 per mmHg; p=0.002], heart rate [β 0.03±0.01 per bpm; p=0.01], and systolic arterial blood pressure [β 0.03±0.01 per mmHg; p=0.02]. Conclusion: Impaired O 2 extraction is prevalent amongst adults post-Fontan. Whether exercise can modulate this important determinant of exercise capacity post-Fontan merits further investigation.

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.

Importance Adverse events in otolaryngology–head and neck surgery (OHNS) are inconsistently reported. The Clavien-Dindo Classification has been modified and validated in several surgical subspecialties but has yet to be validated in OHNS. Objective To create and validate a modified Clavien-Dindo Classification for OHNS that reflects the severity and duration of harm for complications experienced by patients undergoing OHNS. Design, Setting, and Participants This is a multicenter survey study of subject matter experts (SMEs) from OHNS subspecialties from academic institutions within the US. A literature review identified publications reporting surgical complications in OHNS in the English language between January 2019 and April 2020. Complications were summarized and used to inform a modified Clavien-Dindo Classification. Feedback from internal SMEs was incorporated. Thirty-five clinical vignettes were created, and an electronic survey was sent to SMEs at outside institutions. Each SME was randomly assigned to 1 of 4 groups to evaluate 8 to 9 vignettes. The survey was conducted in September 2023, and data were analyzed from February to May 2024. Exposure Participation in the electronic survey. Main Outcomes and Measures Vignette scores were assessed and the Comprehensive Complication Index (CCI) calculator was used to assess cumulative morbidity. The scale is based on the grading by the Clavien-Dindo Classification and reflects overall morbidity on a scale from 0 (no complication) to 100 (death). Variability of the CCIs between reviewers, the primary outcome, was summarized with the SD. The percentage of reviewers with a high (≥26.2) or low (&amp;lt;26.2) CCI within a vignette was reported. Reliability was summarized using Krippendorff α. Results Of 106 SMEs, 43 (response rate, 40.6%) completed at least 1 vignette. Eighteen of 35 vignettes (51.4%; 95% CI, 34.9%-68.0%) had unanimous high CCI, and 8 of 35 vignettes (22.9%; 95% CI, 8.9%-36.8%) had unanimous low CCI (overall categorical agreement, 74.3%; 95% CI, 59.8%-88.8%). On average, the Krippendorff α was 0.74, indicating moderate reliability. A total of 21 850 OHNS complications were reviewed and categorized as surgical or medical with 12 including subcategorization for specificity. Each category was then assigned a modified OHNS Clavien Dindo classification grade. Conclusions and Relevance In this survey study of OHNS experts, a modified OHNS Clavien-Dindo Classification was developed and validated using case vignettes. The modified Clavien-Dindo Classification provided a granular subcategorization for each complication category and grade, duration of harm, and an overall summary complication score (CCI). Results suggest the modified OHNS Clavien-Dindo Classification reliably differentiated between high-grade and low-grade OHNS complications and could be utilized for assessing surgical outcomes.

Objective: The specialty of critical care in the United States currently lacks a single, broad, unified database. We conducted a scoping review of existing established national ICU databases, describing national and international patterns of critical care delivery. Data Sources: A systematic literature search was undertaken using MEDLINE, Embase, and Web of Science search engines. Study Selection: Projects describing national critical care delivery (including any subspecialty) published in any language were included. Titles, abstracts, and full-text manuscripts were reviewed in duplicate for inclusion. Data Extraction: National database characteristics were collected, including the number and subspecialty of ICUs, the inaugural year, data entry methodology, the number of episodes of care included, and captured clinical data elements. Data Synthesis: Of 24,003 abstracts screened, 185 manuscripts were eligible for inclusion. Thirty countries were identified as having established national ICU registries: Argentina, Australia/New Zealand, Austria, Belgium, Brazil, Canada, Denmark, Ecuador, Finland, Germany, Iceland, India, Ireland, Italy, Japan, Kenya, Malaysia, Mexico, Nepal, Netherlands, Norway, Pakistan, Paraguay, Spain, Sri Lanka, Sweden, Switzerland, United Kingdom, United States and Uruguay. Data entry commonly incorporates a combination of automated data abstraction from electronic healthcare systems and manual data entry, followed by independent validation. Frequently recorded variables include patient demographics; admission vital signs and laboratory data; comorbidities; admission source and diagnoses; ICU diagnoses, treatments, and complications; illness severity scores; and clinically relevant outcomes including discharge disposition, functional status, lengths of stay, and mortality. Conclusions: Insights and experience gained from the study of mature national ICU registries may be used to guide an equivalent U.S. multidisciplinary program aimed at benchmarking, needs assessment, quality improvement, and research facilitation

ImportanceReceipt of anthracycline-based chemotherapy and statin therapy have been found to be associated with deterioration of cognitive function in patients with cancer.ObjectiveTo assess the association of statins with attention, verbal fluency, and executive function in patients receiving doxorubicin treatment for cancer.Design, Setting, and ParticipantsThis secondary analysis of the Preventing Anthracycline Cardiovascular Toxicity With Statins randomized clinical trial, conducted across 31 US community and academic sites from February 5, 2014, through September 24, 2020, involved participants with stage I to IV lymphoma or stage I to III breast cancer undergoing doxorubicin treatment. The data analysis was conducted between August 1, 2024, and April 4, 2025.InterventionsParticipants were randomized (1:1) to receive a daily 40-mg dose of atorvastatin or placebo before initiating doxorubicin treatment and then continued for 24 months.Main Outcomes and MeasuresAttention, executive function, and verbal fluency were assessed using the Trail Making Test part A (TMT-A) and part B (TMT-B) and the Controlled Oral Word Association test, respectively. Time to complete the assessments were modeled using a linear mixed model, while errors (counts) were modeled using a generalized linear mixed model assuming a Poisson distribution.ResultsA total of 238 participants (mean [SD] age, 49 [12] years; 217 female [91.2%]) were randomized to the statin (n = 118) or placebo (n = 120) groups. Values for TMT-A at 6 and 24 months were similar between the statin group (mean, 32.5 seconds [95% CI, 29.4-35.7 seconds] and 29.8 seconds [95% CI, 26.4-33.2 seconds], respectively) and the placebo group (mean, 28.4 seconds [95% CI, 25.2-31.5 seconds] and 27.8 seconds [95% CI, 24.5-31.0 seconds], respectively). From before treatment to 24 months after treatment, statin recipients had a significant mean improvement of 10.2 seconds for TMT-B (95% CI, 1.9-18.5 seconds), whereas placebo recipients had a nonsignificant improvement of only 0.2 seconds for TMT-B (95% CI, −8.5 to 8.1 seconds). Analysis of the time-by-treatment interaction showed no significant difference between groups. For Controlled Oral Word Association scores in the same period, both the placebo and statin groups showed a mean improvement of 3.62 points (95% CI, 1.71-5.54 points) and 4.74 points (95% CI, 2.69-6.79 points), respectively, with no difference between groups.Conclusions and RelevanceThis secondary analysis of a randomized clinical trial suggests that the receipt of statins during doxorubicin therapy for lymphoma or breast cancer was not associated with worsening cognitive functions over 24 months. Within-group analyses suggested that statins may have contributed to better executive function on the TMT-B.Trial RegistrationClinicalTrials.gov Identifier: NCT01988571