Progress in cardiovascular diseases最新文献

{"title":"Coronary microvascular dysfunction beyond the spectrum of chronic coronary syndromes","authors":"Marta Belmonte ,&nbsp;Alberto Foà ,&nbsp;Pasquale Paolisso ,&nbsp;Luca Bergamaschi ,&nbsp;Emanuele Gallinoro ,&nbsp;Alberto Polimeni ,&nbsp;Roberto Scarsini ,&nbsp;Saverio Muscoli ,&nbsp;Sara Amicone ,&nbsp;Antonio De Vita ,&nbsp;Angelo Villano ,&nbsp;Francesco Angeli ,&nbsp;Matteo Armillotta ,&nbsp;Vincenzo Sucato ,&nbsp;Saverio Tremamunno ,&nbsp;Doralisa Morrone ,&nbsp;Ciro Indolfi ,&nbsp;Pasquale Perrone Filardi ,&nbsp;Flavio Ribichini ,&nbsp;Gaetano Antonio Lanza ,&nbsp;Carmine Pizzi","doi":"10.1016/j.pcad.2024.10.006","DOIUrl":"10.1016/j.pcad.2024.10.006","url":null,"abstract":"<div><div>The prevalence of coronary microvascular dysfunction (CMD) beyond the spectrum of chronic coronary syndromes (CCS) is non-negligible, pertaining to pathophysiological and therapeutical implications. Thanks to the availability of accurate and safe non-invasive technique, CMD can be identified as a key player in heart failure, cardiomyopathies, Takotsubo syndrome, aortic stenosis. While CMD is widely recognized as a cause of myocardial ischemia leading to a worse prognosis even in the absence of obstructive coronary artery disease, the characterization of CMD patterns beyond CCS might provide valuable insights on the underlying disease progression, being potentially a “red flag” of adverse cardiac remodeling and a major determinant of response to therapy and outcomes. In this review, we aimed to provide an overview of the latest evidence on the prevalence, mechanistic and prognostic implications of CMD beyond the spectrum of CCS (i.e. heart failure, cardiomyopathies, Takotsubo syndrome, aortic stenosis).</div></div>","PeriodicalId":21156,"journal":{"name":"Progress in cardiovascular diseases","volume":"87 ","pages":"Pages 73-82"},"PeriodicalIF":5.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142515600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Of meat & molecules","authors":"Edward Archer ,&nbsp;Urska Dobersek","doi":"10.1016/j.pcad.2024.10.013","DOIUrl":"10.1016/j.pcad.2024.10.013","url":null,"abstract":"","PeriodicalId":21156,"journal":{"name":"Progress in cardiovascular diseases","volume":"87 ","pages":"Pages 16-17"},"PeriodicalIF":5.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142564929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cover 2 (Masthead)","authors":"","doi":"10.1016/S0033-0620(24)00155-5","DOIUrl":"10.1016/S0033-0620(24)00155-5","url":null,"abstract":"","PeriodicalId":21156,"journal":{"name":"Progress in cardiovascular diseases","volume":"87 ","pages":"Page IFC"},"PeriodicalIF":5.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cardiovascular-kidney-metabolic syndrome – An integrative review","authors":"Katiana Simões Kittelson ,&nbsp;Arquimedes Gasparotto Junior ,&nbsp;Natasha Fillmore ,&nbsp;Roberto da Silva Gomes","doi":"10.1016/j.pcad.2024.10.012","DOIUrl":"10.1016/j.pcad.2024.10.012","url":null,"abstract":"<div><div>The American Heart Association recently defined the complex interactions among the cardiovascular, renal, and metabolic systems as CKM syndrome. To promote better patient outcomes, having a more profound understanding of CKM pathophysiology and pursuing holistic preventative and therapy strategies is critical. Despite many gaps in understanding CKM syndrome, this study attempts to elucidate two of these gaps: the new emerging biomarkers for screening and the role of inflammation in its pathophysiology. For this review, an extensive search for specific terms was conducted in the following databases: PubMed, Scopus, Web of Science, and Google Scholar. Studies were first assessed by title, abstract, keywords, and selected for portfolio according to eligibility criteria, which led to 38 studies. They provided background information about CKM syndrome; data suggested that serum uric acid, leptin, aldosterone, bilirubin, soluble neprilysin, lipocalin-type-prostaglandin-D-synthase, and endocan could be valuable biomarkers for CKM screening; and finally, the inflammation role in CKM.</div></div>","PeriodicalId":21156,"journal":{"name":"Progress in cardiovascular diseases","volume":"87 ","pages":"Pages 26-36"},"PeriodicalIF":5.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142564836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recommendations on the use of artificial intelligence in health promotion","authors":"Andy Smith ,&nbsp;Ross Arena ,&nbsp;Simon L. Bacon ,&nbsp;Mark A. Faghy ,&nbsp;Giovanni Grazzi ,&nbsp;Andrea Raisi ,&nbsp;Amber L. Vermeesch ,&nbsp;Martin Ong'wen ,&nbsp;Dejana Popovic ,&nbsp;Nicolaas P. Pronk","doi":"10.1016/j.pcad.2024.10.003","DOIUrl":"10.1016/j.pcad.2024.10.003","url":null,"abstract":"<div><div>The purpose of this perspective is to provide recommendations on the use of Artificial Intelligence (AI) in health promotion. To arrive at these recommendations, we followed a 6-step process. The first step was to recruit an international authorship team from the Healthy Living for Pandemic Event Protection (HL- PIVOT) network. This enabled us to achieve an international perspective with insights from Canada, Great Britain, Kenya, Italy, and the US. A philosophical inquiry was conducted addressing 5 questions. What should the relationship be between humans and AI in health promotion? How can the public and professionals trust AI? How can we ensure AI is aligned with our values? How can we ensure the ethical use of data by AI? How can we control AI? 4 hypothetical scenarios were also developed to provide perspectives on: i) Artificial ‘Versus’ Human Intelligence; ii) AI Empowerment in Self-Care; iii) Could AI Improve Patient Provider Relationship; and iii) The Kenyan Cancer Patient at the Height of a Pandemic. Based on the philosophical inquiry and the scenarios 11 recommendations are made by the HL-PIVOT on the use of AI in health promotion. The golden thread running through these recommendations is a human centric approach. The recommendations begin by suggesting that workforce planning should take account of AI. They conclude with the statement that any serious incidents involving an AI in Health Promotion should be reported to the relevant regulatory authority.</div></div>","PeriodicalId":21156,"journal":{"name":"Progress in cardiovascular diseases","volume":"87 ","pages":"Pages 37-43"},"PeriodicalIF":5.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142402519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ChatGPT-4 extraction of heart failure symptoms and signs from electronic health records","authors":"T. Elizabeth Workman ,&nbsp;Ali Ahmed ,&nbsp;Helen M. Sheriff ,&nbsp;Venkatesh K. Raman ,&nbsp;Sijian Zhang ,&nbsp;Yijun Shao ,&nbsp;Charles Faselis ,&nbsp;Gregg C. Fonarow ,&nbsp;Qing Zeng-Treitler","doi":"10.1016/j.pcad.2024.10.010","DOIUrl":"10.1016/j.pcad.2024.10.010","url":null,"abstract":"<div><h3>Background</h3><div>Natural language processing (NLP) can facilitate research utilizing data from electronic health records (EHRs). Large language models can potentially improve NLP applications leveraging EHR notes. The objective of this study was to assess the performance of zero-shot learning using Chat Generative Pre-trained Transformer 4 (ChatGPT-4) for extraction of symptoms and signs, and compare its performance to baseline machine learning and rule-based methods developed using annotated data.</div></div><div><h3>Methods and results</h3><div>From unstructured clinical notes of the national EHR data of the Veterans healthcare system, we extracted 1999 text snippets containing relevant keywords for heart failure symptoms and signs, which were then annotated by two clinicians. We also created 102 synthetic snippets that were semantically similar to snippets randomly selected from the original 1999 snippets. The authors applied zero-shot learning, using two different forms of prompt engineering in a symptom and sign extraction task with ChatGPT-4, utilizing the synthetic snippets. For comparison, baseline models using machine learning and rule-based methods were trained using the original 1999 annotated text snippets, and then used to classify the 102 synthetic snippets.</div><div>The best zero-shot learning application achieved 90.6 % precision, 100 % recall, and 95 % F1 score, outperforming the best baseline method, which achieved 54.9 % precision, 82.4 % recall, and 65.5 % F1 score. Prompt style and temperature settings influenced zero-shot learning performance.</div></div><div><h3>Conclusions</h3><div>Zero-shot learning utilizing ChatGPT-4 significantly outperformed traditional machine learning and rule-based NLP. Prompt type and temperature settings affected zero-shot learning performance. These findings suggest a more efficient means of symptoms and signs extraction than traditional machine learning and rule-based methods.</div></div>","PeriodicalId":21156,"journal":{"name":"Progress in cardiovascular diseases","volume":"87 ","pages":"Pages 44-49"},"PeriodicalIF":5.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142515599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Safety outcomes of oral anticoagulants in patients with an indication of anti-coagulants after TAVR: A meta-analysis","authors":"Ahmed Abdelaziz ,&nbsp;Karim Atta ,&nbsp;Ahmed Farid Gadelmawla ,&nbsp;Mohamed Abdelaziz ,&nbsp;Muhammad Desouky ,&nbsp;Yasmin Negida ,&nbsp;Ahmed A. Ibrahim ,&nbsp;Dua Abdelraouf Eldosoky ,&nbsp;Ahmed Helmi ,&nbsp;Shrouk Ramadan ,&nbsp;Emad Singer ,&nbsp;Jose Tafur-Soto","doi":"10.1016/j.pcad.2024.10.014","DOIUrl":"10.1016/j.pcad.2024.10.014","url":null,"abstract":"","PeriodicalId":21156,"journal":{"name":"Progress in cardiovascular diseases","volume":"87 ","pages":"Pages 97-99"},"PeriodicalIF":5.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142564933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assorted topics III 2024","authors":"Carl J. Lavie","doi":"10.1016/j.pcad.2024.11.001","DOIUrl":"10.1016/j.pcad.2024.11.001","url":null,"abstract":"","PeriodicalId":21156,"journal":{"name":"Progress in cardiovascular diseases","volume":"87 ","pages":"Page 1"},"PeriodicalIF":5.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142640470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A review of the interplay between Takotsubo cardiomyopathy and adrenal insufficiency: Catecholamine surge and glucocorticoid deficiency","authors":"Afshin Heidari ,&nbsp;Mohammad Ghorbani ,&nbsp;Sara Hassanzadeh ,&nbsp;Elham Rahmanipour","doi":"10.1016/j.pcad.2024.10.001","DOIUrl":"10.1016/j.pcad.2024.10.001","url":null,"abstract":"<div><h3>Background</h3><div>Takotsubo Cardiomyopathy (TCM) is a transient heart condition often precipitated by stress and characterized by atypical ventricular ballooning. The interplay between TCM and Adrenal Insufficiency (AI), particularly the influence of catecholamine excess and glucocorticoid deficiency on TCM's pathogenesis in individuals with AI, warrants comprehensive exploration for a better understanding of TCM pathophysiology and establishment of potential therapeutic strategies.</div></div><div><h3>Methods</h3><div>We conducted an extensive literature search via PubMed and Google Scholar, targeting reports on AI, heart failure, and cardiomyopathy, supplemented by forward and backward citation tracing. We analyzed 46 cases from 45 reports, assessing the clinical presentation and outcomes in the context of AI categorization.</div></div><div><h3>Results</h3><div>In patients with AI, a glucocorticoid deficit appears to exacerbate the myocardial vulnerability to catecholamine toxicity, precipitating TCM. Most conditions were reversible; however, three pre-1990 cases resulted in irreversible outcomes.</div></div><div><h3>Conclusions</h3><div>The investigation into the AI and TCM intersection highlights the pathogenic significance of catecholamines in the absence of glucocorticoids. The data consolidates the hypothesis that glucocorticoid scarcity exacerbates the cardiac susceptibility to catecholaminergic toxicity, potentially triggering TCM. The study affirms glucocorticoids' cardioprotective roles and elucidates how catecholamine surges contribute to TCM pathogenesis, suggesting strategic clinical management adjustments for AI patients to reduce TCM incidence.</div></div>","PeriodicalId":21156,"journal":{"name":"Progress in cardiovascular diseases","volume":"87 ","pages":"Pages 18-25"},"PeriodicalIF":5.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142402517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The ventilatory efficiency parameters outperform peak oxygen consumption in monitoring the therapy effects in patients with hypertrophic cardiomyopathy","authors":"Stefan Seman ,&nbsp;Milorad Tesic ,&nbsp;Marija Babic ,&nbsp;Lidija Mikic ,&nbsp;Lazar Velicki ,&nbsp;Nduka C Okwose ,&nbsp;Sarah J Charman ,&nbsp;Maria Tafelmeier ,&nbsp;Iacopo Olivotto ,&nbsp;Nenad Filipovic ,&nbsp;Arsen Ristic ,&nbsp;Ross Arena ,&nbsp;Marco Guazzi ,&nbsp;Djordje Jakovljevic ,&nbsp;Thomas G Allison ,&nbsp;Dejana Popovic ,&nbsp;on behalf of SILICOFCM study investigators","doi":"10.1016/j.pcad.2024.10.005","DOIUrl":"10.1016/j.pcad.2024.10.005","url":null,"abstract":"<div><h3>Aim</h3><div>We sought the cardiopulmonary exercise testing (CPET) parameter that most accurately reflected therapeutic efficacy in patients with hypertrophic cardiomyopathy (HCM).</div></div><div><h3>Methods</h3><div>Well-being questionnaire, N-terminal brain natriuretic peptide measurements, echocardiography, and CPET were performed in patients with symptomatic non-obstructive HCM during phase II, randomized, open-label multicentre study, before and after 16 weeks of traditional or sacubitril/valsartan treatment. Patients were followed 36 months after the initial CPET. Primary endpoints were changes in: 1) peak oxygen consumption (VO₂); 2) VO₂ at anaerobic threshold (AT); 3) oxygen pulse; 4) minute ventilation (VE)/carbon-dioxide (CO₂) production slope; 5) VE/VCO₂ at AT (VE/VCO₂_AT); 6) VE/VCO₂ nadir; 7) VE/VCO₂ intercept; and 8) partial end-tidal pressure of carbon-dioxide (P_ETCO₂) change during CPET.</div></div><div><h3>Results</h3><div>Of 115 screened patients, 61 (52 ± 14 years, 43 % women) were included. Within subject therapy effects were detected only by the VE/VCO₂ intercept and P_ETCO₂ change, whereas the differences between medical regimens were detected by differences in VE/VCO₂ nadir and VE/VCO₂_AT changes after the treatment. The best predictors of the change in well-being were left ventricular outflow tract maximal gradient and VE/VCO₂ intercept (B = 0.41,0.36; SE = 0.16,0.30; CI = 0.14–0.79, 0.15–1.14; <em>p</em> = 0.006,0.016, respectively). Adverse cardiac events were best predicted by the initial VE/VCO₂ nadir.</div></div><div><h3>Conclusion</h3><div>Ventilatory efficiency parameters outperform peak VO₂ in gauging therapy effects in patients with HCM.</div></div>","PeriodicalId":21156,"journal":{"name":"Progress in cardiovascular diseases","volume":"87 ","pages":"Pages 90-96"},"PeriodicalIF":5.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142484625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}