Journal of Cardiac Failure. Intersections最新文献

{"title":"Challenges in Identifying Heart Failure Diagnoses from the Electronic Health Record.","authors":"Sharon Klein, Amrita Mukhopadhyay, Carine E Hamo, Samrachana Adhikari, Lipika Samal, Saul Blecker","doi":"10.1016/j.yjcafi.2026.06.009","DOIUrl":"10.1016/j.yjcafi.2026.06.009","url":null,"abstract":"<p><strong>Background: </strong>To leverage the EHR effectively for clinical operations, quality improvement, and research, patients with a specific clinical condition such as heart failure are often identified through ICD diagnosis codes and structured data. These diagnoses are validated by clinician chart review, which is considered the gold standard for confirming true cases from the EHR. The purpose of the study was to explore obstacles that clinicians encounter when using chart review to validate heart failure diagnoses from the EHR.</p><p><strong>Methods: </strong>In prior work, a team of eight clinicians performed chart review to validate heart failure diagnosis based on the \"Universal Definition of Heart Failure.\" A portion of the charts were reviewed by two independent reviewers, and we assessed inter-rater reliability using Cohen's kappa (κ). We conducted a content analysis of documents from the clinician chart review to understand challenges in validating EHR-based definitions of heart failure.</p><p><strong>Results: </strong>Clinicians reviewed 528 charts, with a κ of 0.62 among the 35% of charts with double review. In qualitative analysis, we identified two overarching themes related to challenges in validation of heart failure: 1) challenges in applying the Universal Definition of Heart Failure to real-world patient data, and 2) EHR interoperability and usability barriers impacting validation of heart failure diagnoses.</p><p><strong>Conclusions: </strong>Our study highlights clinical and technological limitations of clinician chart review for identifying heart failure patients. This has implications for patient care, quality improvement, and population health. Policies and digital solutions aimed at improving EHR data collection, organization, and data extraction are needed.</p>","PeriodicalId":521074,"journal":{"name":"Journal of Cardiac Failure. Intersections","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13618696/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149077508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring Associations Between Social Risk Factors and Physical Frailty in Heart Failure: A Cross-Sectional Analysis.","authors":"Quin E Denfeld, Christopher V Chien, Zijiao Wang, Shirin O Hiatt, Mary Roberts Davis, Christopher S Lee","doi":"10.1016/j.yjcafi.2026.01.009","DOIUrl":"10.1016/j.yjcafi.2026.01.009","url":null,"abstract":"","PeriodicalId":521074,"journal":{"name":"Journal of Cardiac Failure. Intersections","volume":"2 4","pages":"387-390"},"PeriodicalIF":0.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13484283/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148805450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recruitment Strategies in Registry-Based Observational Research: A Single-Center Experience in the United States from the HeartShare Study.","authors":"Vaishnavi Krishnan, Ramzi B Kibbi, Quan Mai, Elizabeth Marquez, Lili Zhao, Nicole Cyrille-Superville, Gregory D Lewis, Faraz S Ahmad, Neela Thangada, Sadiya S Khan, Laura J Rasmussen-Torvik","doi":"10.1016/j.yjcafi.2026.03.010","DOIUrl":"10.1016/j.yjcafi.2026.03.010","url":null,"abstract":"<p><strong>Background: </strong>Recruiting a representative sample of US adults is challenging, and strategies to improve recruitment have not been well evaluated. This study examined differences in consent rates across 3 recruitment approaches for the HeartShare registry at a single academic center.</p><p><strong>Methods: </strong>The HeartShare registry is a multicenter observational cohort enrolling adults age ≥30 years with or without heart failure. We included participants contacted at a single academic center between August 1, 2023 and August 1, 2024, comparing consent rates across 3 recruitment methods: (1) telephone; (2) electronic health record (EHR) messaging; or (3) in-person. Secondary analyses evaluated differences in consent rates within recruitment strategies by sociodemographic factors.</p><p><strong>Results: </strong>Among 9712 patients contacted (mean age, 72.0; standard deviation [SD] 13.1 years; 46.5% female), 4.2% consented. Of the 1439 patients contacted by telephone, 175 (12.1%) consented. Of the 8080 patients contacted through EHR messaging, 144 (1.8%) consented. Of the 193 contacted in-person, 79 (41%) consented. Compared with phone recruitment, EHR had the lowest consent rate (adjusted odds ratio [aOR], 0.13; 95% confidence interval [CI], 0.10-0.17) while in-person contact had the highest consent rate (aOR, 6.49; 95% CI, 4.42-9.53). In-person recruitment showed no significant differences in consent rates between Black and White participants (aOR, 0.69; 95% CI, 0.30-1.56). Among those approached via EHR or phone, Black individuals had significantly lower odds of consenting compared with White individuals (EHR: aOR, 0.31; 95% CI, 0.12-0.67; Phone: aOR, 0.36; 95% CI, 0.18-0.67).</p><p><strong>Conclusions: </strong>In-person recruitment achieved the highest consent rates across groups in this observational registry-based cohort. Although less time intensive, automated EHR recruitment was less effective in engaging underrepresented groups.</p>","PeriodicalId":521074,"journal":{"name":"Journal of Cardiac Failure. Intersections","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13576520/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148979346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Before Heart Failure Diagnosis, Adults Are Frail and Symptomatic.","authors":"Mary Roberts Davis, Shirin O Hiatt, Yasmine Robles, Elise Erickson, Jackilen Shannon, Nabil Alkayed, Lissi Hansen, Nathan F Dieckmann, Christopher V Chien, Quin E Denfeld","doi":"10.1016/j.yjcafi.2026.04.004","DOIUrl":"https://doi.org/10.1016/j.yjcafi.2026.04.004","url":null,"abstract":"<p><strong>Background: </strong>Few studies have examined comprehensively the characteristics of patients leading up to new diagnoses of heart failure (HF). This study quantified symptoms and clinical characteristics before HF diagnosis, including sex differences.</p><p><strong>Methods and results: </strong>Adults with new diagnoses of NewYork Heart Association class 1-4 HF within the prior 3 months were enrolled. Clinical characteristics and comorbidities were abstracted from the electronic health record, and the Meta-analysis Global Group in Chronic HF (MAGGIC) score was calculated. Participants reported symptoms in the month prior to diagnosis and health care use in the preceding year. Dyspnea was assessed by using the Heart Failure Somatic Perception Scale-Dyspnea (HFSPS-D) subscale. Frailty was assessed by using the Fatigue Resistance Ambulation Illness Loss of weight (FRAIL) scale. Descriptive and comparative statistics were used to characterize the sample overall and by sex; multiple linear regression was used to identify predictors of dyspnea. The sample (n = 95) was 60.3 ± 16.0 years of age and 47% female. The characteristics of HF were similar according to sex. Nearly half of participants were frail, with higher prevalence among females (P = 0.004). Dyspnea scores averaged 12.0 (IQR 3--22). Pain interference was greater among females (P = 0.05). Nearly 20% of participants had received no health care in the prior year Frailty, but not sex or MAGGIC score, predicted greater dyspnea (P = 0.005).</p><p><strong>Conclusion: </strong>Adults experience substantial frailty and symptom burdens in the month prior to HF diagnosis. Females had a higher prevalence of frailty. Frailty may be a key target for early HF risk identification.</p>","PeriodicalId":521074,"journal":{"name":"Journal of Cardiac Failure. Intersections","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13730218/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149330137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vasoreactivity Test With Nitrate-Hydralazine by Linking Gas Exchange and Hemodynamics in PH-HFpEF.","authors":"Ahmed El Shaer, Anas Abed, Mariana Garcia-Arango, Waxnin Tu, Justin Jan, Margaret Cochrane, Aria Kenarsary, Arthur R Gallegos, Zahra Mahmood, Muhammad Usman, Umbish Dino, Abdul Wahab Arif, Babak Tehrani, Kathryn S Jones, James Runo, Farhan Raza","doi":"10.1016/j.yjcafi.2025.09.008","DOIUrl":"10.1016/j.yjcafi.2025.09.008","url":null,"abstract":"","PeriodicalId":521074,"journal":{"name":"Journal of Cardiac Failure. Intersections","volume":"2 3","pages":"268-273"},"PeriodicalIF":0.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13322304/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148371818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Life-Space Mobility in Heart Failure With Preserved Ejection Fraction.","authors":"Dylan Marshall, Omar Zainul, Musarrat Nahid, Kyle Lapenna, Ashkan Hashemi, Princess Osma, Alexandra Reich, Aidan Sinha, Emily Kim, Kate Zarzuela, Parag Goyal","doi":"10.1016/j.yjcafi.2025.12.013","DOIUrl":"10.1016/j.yjcafi.2025.12.013","url":null,"abstract":"<p><strong>Background: </strong>Life-space mobility quantifies an individual's movement within their environment, ranging from one's bedroom to outside of one's geographic region. This makes life-space mobility an appealing yet understudied summary evaluation that can effectively integrate multiple health domains inclusive of conditions that are prevalent in heart failure with preserved ejection fraction (HFpEF). Whether life-space mobility is associated with adverse outcomes among patients with HFpEF who are ambulatory is unknown.</p><p><strong>Methods: </strong>We examined 175 consecutive patients with HFpEF seen at the Weill Cornell Medicine HFpEF program (November 2018 through March 2022). Life-space mobility was quantified via the Life-Space Assessment (LSA) and a simplified version of the LSA. The Kansas City Cardiomyopathy Questionnaire-12 and EuroQol 5-Dimension 5-level were used to examine the quality of life. The primary outcome was a 12-month composite of all-cause mortality and hospitalization. A Cox proportional-hazard model was used to examine the association between life-space mobility and the primary outcome, adjusting for race and the Meta-Analysis Global Group in Chronic Heart Failure score.</p><p><strong>Results: </strong>The median age was 76.8 years (interquartile range, 69.7-84.6 years). Most patients were female (67.4%) and of White race (65.1%). Those with low life-space mobility (based on both the LSA and simplified LSA) reported a worse quality of life (as measured by the Kansas City Cardiomyopathy Questionnaire-12 and EuroQol 5-Dimension 5-level). In addition, low life-space mobility (based on both the LSA and simplified LSA) was independently associated with all-cause hospitalization at 12-months in a fully adjusted model (LSA: hazard ratio, 2.41; 95% confidence interval, 1.23-4.69, <i>P</i> = .01; simplified LSA: hazard ratio, 2.46; 95% confidence interval, 1.19-4.31, <i>P</i> = .013).</p><p><strong>Conclusion: </strong>Among adults with HFpEF, life-space mobility tracks with multiple health deficits, parallels quality of life, and is associated with adverse clinical outcomes. The LSA and simplified LSA provide comparable prognostic information, suggesting that either could serve as a summary score of health and prognostic indicator among HFpEF.</p>","PeriodicalId":521074,"journal":{"name":"Journal of Cardiac Failure. Intersections","volume":"2 3","pages":"233-242"},"PeriodicalIF":0.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13410940/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148623644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Functional Limitations in Heart Failure and Cancer: An Analysis of the Medicare Health Outcomes Survey 2016-2020.","authors":"Havisha Pedamallu, Sadiya S Khan, Carol Haywood, Abigail S Baldridge, Kathleen L Grady, Sarah Chuzi, Parag Goyal, Gregg C Fonarow, Tara Lagu, Faraz S Ahmad","doi":"10.1016/j.yjcafi.2025.08.008","DOIUrl":"https://doi.org/10.1016/j.yjcafi.2025.08.008","url":null,"abstract":"","PeriodicalId":521074,"journal":{"name":"Journal of Cardiac Failure. Intersections","volume":"2 2","pages":"157-161"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13480385/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148805481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Antihypertensive Dosing During Mavacamten Therapy for Obstructive Hypertrophic Cardiomyopathy.","authors":"Nosheen Reza, Nadim Mahmud, Melissa A Austin, Estherland Duqueney, Parth Patel, Ellen Boakye, Nicole Hornsby, Alejandro DE Feria, Amy Marzolf, Anjali Tiku Owens","doi":"10.1016/j.yjcafi.2025.12.010","DOIUrl":"10.1016/j.yjcafi.2025.12.010","url":null,"abstract":"","PeriodicalId":521074,"journal":{"name":"Journal of Cardiac Failure. Intersections","volume":"2 2","pages":"176-178"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13053145/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147635651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Prospective Study of Quality of Life After an Ambulatory Visit for Heart Failure.","authors":"Andrew P Ambrosy, Rishi V Parikh, Elisha A Garcia, Kelly M Wetzel, Alan S Go","doi":"10.1016/j.yjcafi.2025.10.003","DOIUrl":"10.1016/j.yjcafi.2025.10.003","url":null,"abstract":"","PeriodicalId":521074,"journal":{"name":"Journal of Cardiac Failure. Intersections","volume":"2 1","pages":"72-77"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13289684/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148321524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Art of Healing and the Healing of Art.","authors":"Jason N Katz, Alanna R Katz, Nosheen Reza","doi":"10.1016/j.yjcafi.2025.12.005","DOIUrl":"10.1016/j.yjcafi.2025.12.005","url":null,"abstract":"","PeriodicalId":521074,"journal":{"name":"Journal of Cardiac Failure. Intersections","volume":"2 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12889138/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146169268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}