Current Problems in Cardiology最新文献

{"title":"Title Page","authors":"","doi":"10.1016/S0146-2806(25)00048-9","DOIUrl":"10.1016/S0146-2806(25)00048-9","url":null,"abstract":"","PeriodicalId":51006,"journal":{"name":"Current Problems in Cardiology","volume":"50 4","pages":"Article 103026"},"PeriodicalIF":3.0,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143534534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifying low-risk in patients with worsening heart failure with short hospital stay: A comparison of risk scores in predicting 30-day risk events","authors":"Lucrecia María Burgos ,&nbsp;Rocío Consuelo Baro Vila ,&nbsp;María Antonella de Bortoli ,&nbsp;Ramiro Arias ,&nbsp;Damian Malano ,&nbsp;Franco Nicolás Ballari ,&nbsp;Mirta Diez","doi":"10.1016/j.cpcardiol.2025.103023","DOIUrl":"10.1016/j.cpcardiol.2025.103023","url":null,"abstract":"<div><h3>Introduction</h3><div>Heart failure (HF) is a leading cause of hospitalization worldwide, with high mortality rates and significant economic burden. To address the issue outpatient strategies (day-care diuretics) to avoid unplanned ED visits and reduce HF hospitalizations. However, the identification of low risk patients worsening heart failure (WHF) who could benefit from outpatient treatment remains poorly documented.</div></div><div><h3>Objective</h3><div>We aimed to evaluate the accuracy of multiple scores in predicting the risk of 30-day events in patients WHF who underwent brief hospitalizations.</div></div><div><h3>Methods</h3><div>We conducted a retrospective analysis of a prospective and consecutive cohort of WHF patients with hospitalizations of less than 72 h at a tertiary care hospital between 2015 and 2020. The risk of 30-day all-cause mortality was evaluated using the OPTIMIZE-HF, GWTG-HF, and ADHERE risk scores. And the secondary endpoint was the combined unplanned visit or readmission for worsening HF or death at 30 days. The risk of events in low-risk populations was analyzed by tertiles within the most predictive model.</div></div><div><h3>Results</h3><div>Among the 200 included patients (mean age: 75.5 ± 12 years; 62% male), 95.9% had a 30-day follow-up, with an overall mortality rate of 4% and a secondary composite endpoint of 14%. AUC-ROC for the prediction of 30-day all-cause mortality were 0.76 (95% CI 0.59-0.93), 0.66 (95% CI 0.46-0.86), and 0.64 (95% CI 0.44-0.85) for OPTIMIZE-HF, GWTG-HF, and ADHERE, respectively. For the secondary combined event, the AUC-ROC was 0.70 (95% CI 0.59-0.79) for OPTIMIZE-HF, GWTG-HF 0.67 (0.56-0.77) and ADHERE 0.67 (0.56 -0.77). The three scores had good calibration (Hosmer-Lemeshow goodness-of-fit test &gt;0.05). Among the low-risk patients (<em>n</em> = 76, OPTIMIZE-HF score &lt;32), the incidence of mortality and combined events at 30 days was 1.3% and 5.3%, respectively. Kaplan-Meier survival analysis showed that low risk patients had lower risk of the combined event (log rank <em>p</em> &lt; 0.006).</div></div><div><h3>Conclusion</h3><div>Among WHF patients with short hospital stays, the OPTIMIZE-HF score exhibited superior predictive ability compared to other scores and may serve as a valuable tool for assessing the risk of death or combined events at 30 days. Utilizing the OPTIMIZE-HF risk score could aid in identifying low-risk patients who might benefit from outpatient management of AHF in a day-care diuretic clinic.</div></div>","PeriodicalId":51006,"journal":{"name":"Current Problems in Cardiology","volume":"50 5","pages":"Article 103023"},"PeriodicalIF":3.0,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143537997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Future of magnetic sensors applications in early prediction of cardiac health status","authors":"Muhammad Shah Zeb Khan ,&nbsp;Shahid Ullah Khan ,&nbsp;Faris Alrumaihi ,&nbsp;Wanian M. Alwanian ,&nbsp;Hajed Obaid Alharbi ,&nbsp;Somayah Mohammad Alfifi ,&nbsp;Layal Khaled Makki ,&nbsp;Majed Sahli ,&nbsp;Abdulmajeed Abdullah AL-Nafjan ,&nbsp;Matthew Jackson","doi":"10.1016/j.cpcardiol.2025.103022","DOIUrl":"10.1016/j.cpcardiol.2025.103022","url":null,"abstract":"<div><div>The evolution of health monitoring technologies has highlighted the need for accurate and reliable sensors, particularly in the context of cardiac health. This review examines the potential of magnetic sensors as a superior alternative to optical sensors for the early prediction of cardiac health status. Optical sensors face significant challenges, especially for individuals with darker skin tones, where increased light absorption adversely affects measurement accuracy. Additionally, issues such as sensor-skin coupling and motion artifacts further compromise the performance of optical devices. In contrast, magnetic sensors offer a compelling solution by providing consistent readings irrespective of skin tone, thereby enhancing inclusivity in health monitoring. These sensors leverage magnetic fields, which do not rely on light penetration, allowing for improved coupling with the skin's surface and maintaining accuracy during motion. This paper discusses recent advancements in magnetic sensor technology and their implications for cardiac health applications, emphasizing the potential for increased accuracy and reliability in predicting cardiac outcomes. As healthcare shifts toward more personalized and precise monitoring solutions, magnetic sensors emerge as a promising frontier, addressing critical challenges in current health status prediction methods. By focusing on these innovative technologies, we aim to contribute to the ongoing discourse on enhancing cardiac health monitoring and fostering more equitable healthcare solutions.</div></div>","PeriodicalId":51006,"journal":{"name":"Current Problems in Cardiology","volume":"50 5","pages":"Article 103022"},"PeriodicalIF":3.0,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143537878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Non-invasive imaging assessment in angina with non-obstructive coronary arteries (ANOCA)","authors":"Luca Bergamaschi MD ,&nbsp;Antonio De Vita MD ,&nbsp;Angelo Villano MD ,&nbsp;Saverio Tremamunno MD ,&nbsp;Matteo Armillotta MD ,&nbsp;Francesco Angeli MD ,&nbsp;Marta Belmonte MD ,&nbsp;Pasquale Paolisso MD, PhD ,&nbsp;Alberto Foà MD, PhD ,&nbsp;Emanuele Gallinoro MD, PhD ,&nbsp;Alberto Polimeni MD ,&nbsp;Vincenzo Sucato MD ,&nbsp;Doralisa Morrone MD, PhD ,&nbsp;Domenico Tuttolomondo MD ,&nbsp;Anna Giulia Pavon MD ,&nbsp;Marco Guglielmo MD ,&nbsp;Nicola Gaibazzi MD ,&nbsp;Saima Mushtaq MD ,&nbsp;Pasquale Perrone Filardi MD, PhD ,&nbsp;Ciro Indolfi MD, PhD ,&nbsp;Carmine Pizzi MD","doi":"10.1016/j.cpcardiol.2025.103021","DOIUrl":"10.1016/j.cpcardiol.2025.103021","url":null,"abstract":"<div><div>Due to its significant prevalence and clinical implications, angina with non-obstructive coronary arteries (ANOCA) has become a major focus in modern cardiology. In fact, diagnosing ANOCA presents a significant challenge. The final diagnosis is often difficult, delayed, and frequently necessitates an invasive assessment through coronary angiography. However, recent improvements in non-invasive cardiac imaging allow a diagnosis of ANOCA using a combination of clinical evaluation, anatomical coronary imaging, and functional testing. This narrative review aims to critically assess various non-invasive diagnostic methods and propose a multimodal approach to diagnose ANOCA and tailor appropriate treatments.</div></div>","PeriodicalId":51006,"journal":{"name":"Current Problems in Cardiology","volume":"50 5","pages":"Article 103021"},"PeriodicalIF":3.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143524948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hereditary transthyretin amyloidosis (ATTRv)","authors":"Filippos Triposkiadis ,&nbsp;Alexandros Briasoulis ,&nbsp;Randall C. Starling ,&nbsp;Dimitrios E. Magouliotis ,&nbsp;Christos Kourek ,&nbsp;George E Zakynthinos ,&nbsp;Efstathios K. Iliodromitis ,&nbsp;Ioannis Paraskevaidis ,&nbsp;Andrew Xanthopoulos","doi":"10.1016/j.cpcardiol.2025.103019","DOIUrl":"10.1016/j.cpcardiol.2025.103019","url":null,"abstract":"<div><div>Hereditary transthyretin (TTR) amyloidosis (ATTRv amyloidosis) is a devastating disease characterized by broad range of clinical manifestations, including predominantly neurological, predominantly cardiac, and mixed phenotypes. This wide phenotypic variability hindered timely disease diagnosis and risk stratification in the past, especially in individuals with absent or uncharted family history. However, recent advances in noninvasive testing have led to greater awareness and earlier diagnosis. Further, medications have been discovered which proved effective in controlling the disease and improving outcomes including stabilizing TTR, silencing TTR variants, and removing TTR amyloid from affected tissues. Importantly, CRISPR gene editing, a groundbreaking technology, offers the unique potential to cure ATTRv amyloidosis, transforming lives and opening new doors in medical science. This review provides an update on ATTRv amyloidosis mechanisms, diagnosis, and management emphasizing the importance of early diagnosis as the steadfast underpinning for the capitalization of the advances in medical treatment to the benefit of the patients.</div></div>","PeriodicalId":51006,"journal":{"name":"Current Problems in Cardiology","volume":"50 4","pages":"Article 103019"},"PeriodicalIF":3.0,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143426707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editor’s Message","authors":"","doi":"10.1016/S0146-2806(25)00037-4","DOIUrl":"10.1016/S0146-2806(25)00037-4","url":null,"abstract":"","PeriodicalId":51006,"journal":{"name":"Current Problems in Cardiology","volume":"50 3","pages":"Article 103014"},"PeriodicalIF":3.0,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143349433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Title Page","authors":"","doi":"10.1016/S0146-2806(25)00032-5","DOIUrl":"10.1016/S0146-2806(25)00032-5","url":null,"abstract":"","PeriodicalId":51006,"journal":{"name":"Current Problems in Cardiology","volume":"50 3","pages":"Article 103009"},"PeriodicalIF":3.0,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143349432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Information for Readers","authors":"","doi":"10.1016/S0146-2806(25)00033-7","DOIUrl":"10.1016/S0146-2806(25)00033-7","url":null,"abstract":"","PeriodicalId":51006,"journal":{"name":"Current Problems in Cardiology","volume":"50 3","pages":"Article 103010"},"PeriodicalIF":3.0,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143349436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Guidelines for Authors","authors":"","doi":"10.1016/S0146-2806(25)00038-6","DOIUrl":"10.1016/S0146-2806(25)00038-6","url":null,"abstract":"","PeriodicalId":51006,"journal":{"name":"Current Problems in Cardiology","volume":"50 3","pages":"Article 103015"},"PeriodicalIF":3.0,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143349434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnostic accuracy of artificial-intelligence-based electrocardiogram algorithm to estimate heart failure with reduced ejection fraction: A systematic review and meta-analysis","authors":"André Luiz Carvalho Ferreira MD ,&nbsp;Luanna Paula Garcez de Carvalho Feitoza ,&nbsp;Maria E. Benitez MD ,&nbsp;Buena Aziri MD ,&nbsp;Edin Begic MD ,&nbsp;Luciana Vergara Ferraz de Souza MD ,&nbsp;Elísio Bulhões ,&nbsp;Sarah O.N. Monteiro ,&nbsp;Maria L.R. Defante ,&nbsp;Roberto Augusto Mazetto Silva Vieira ,&nbsp;Camila Guida MD","doi":"10.1016/j.cpcardiol.2025.103004","DOIUrl":"10.1016/j.cpcardiol.2025.103004","url":null,"abstract":"<div><h3>Introduction</h3><div>AI-based ECG has shown good accuracy in diagnosing heart failure. However, due to the heterogeneity of studies regarding cutoff points, its precision for specifically detecting heart failure with left ventricle reduced ejection fraction (LVEF &lt;40 %) is not yet well established. What is the sensitivity and specificity of artificial-based electrocardiogram to diagnose heart failure with low ejection fraction (cut-off of 40 %. Aims: We conducted a meta-analysis and systematic review to evaluate the accuracy of artificial intelligence electrocardiograms in estimating an ejection fraction below 40 %.</div></div><div><h3>Methods</h3><div>We searched PubMed, Embase, and Cochrane Library for studies evaluating the performance of AI ECGs in diagnosing heart failure with reduced ejection fraction. We computed true positives, true negatives, false positives, and false negatives events to estimate pooled sensitivity, specificity, and area under the curve, using R software version 4.3.1, under a random-effects model.</div></div><div><h3>Results</h3><div>We identified 9 studies, including patients with a paired artificial intelligence-enabled electrocardiogram with an echocardiography. patients had an ejection fraction below 40 % according to the echocardiogram. The AI-ECG data yielded areas under the receiver operator of, the sensitivity of), specificity of, and area under the curve of. The mean/median age ranged from 60±9 to 68.05± 11.9 years.</div></div><div><h3>Conclusions</h3><div>In this systematic review and meta-analysis, the use of electrocardiogram-based artificial intelligence models demonstrated high sensitivity and specificity to estimate a left ventricular ejection fraction below 40 %.</div></div>","PeriodicalId":51006,"journal":{"name":"Current Problems in Cardiology","volume":"50 4","pages":"Article 103004"},"PeriodicalIF":3.0,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143257315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}