Current Problems in Cardiology最新文献

英文中文

An Artificial Intelligence-Informed Proof of Concept Model for an Ecological Framework of Healthy Longevity Forcing Factors in the United States.

IF 3 3区医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS

Current Problems in Cardiology

Pub Date : 2025-03-13 DOI: 10.1016/j.cpcardiol.2025.103035

Ross Arena, Shuaijie Wang, Nicolaas P Pronk, Colin Woodard, Tanvi Bhatt

Unhealthy lifestyle behaviors are a doorway to downstream health consequences characterized by the following: 1) poor quality of life and diminished mobility; 2) increased likelihood of chronic disease risk factors and diagnoses; and, ultimately, 3) a shorter lifespan and healthspan. The aim of the current study is to assess if an ecological framework can predict U.S. lifespan via the use of artificial intelligence. The current study utilized several U.S. county-level datasets representing the predictive variables of the ecologic framework. A non-linear artificial intelligence statistical approach was used to assess the ability of these variables to predict life expectancy, death rate, and years of life lost. The R² values demonstrated that the performance of Extra trees models was different across the three outcomes, however, death rate always exhibited the highest R² for each feature number, indicating superior model accuracy for this outcome. Generally, an increase in the number of features led to improved model performance. Variables from all factors included in the proposed ecological framework were retained in the final predictive models. There is a need to understand why individuals/families/community, connected by shared cultural beliefs, decide to make one lifestyle behavior decision over another.

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Editor’s Message

IF 3 3区医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS

Current Problems in Cardiology

Pub Date : 2025-03-04 DOI: 10.1016/j.cpcardiol.2025.103032

引用次数: 0

Guidelines for Authors

IF 3 3区医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS

Current Problems in Cardiology

Pub Date : 2025-03-04 DOI: 10.1016/j.cpcardiol.2025.103033

引用次数: 0

Information for Readers

IF 3 3区医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS

Current Problems in Cardiology

Pub Date : 2025-03-04 DOI: 10.1016/S0146-2806(25)00049-0

引用次数: 0

Title Page

IF 3 3区医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS

Current Problems in Cardiology

Pub Date : 2025-03-04 DOI: 10.1016/S0146-2806(25)00048-9

引用次数: 0

Identifying low-risk in patients with worsening heart failure with short hospital stay: A comparison of risk scores in predicting 30-day risk events 在住院时间较短的心力衰竭恶化患者中识别低风险：风险评分在预测 30 天风险事件方面的比较。

IF 3 3区医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS

Current Problems in Cardiology

Pub Date : 2025-02-27 DOI: 10.1016/j.cpcardiol.2025.103023

Lucrecia María Burgos , Rocío Consuelo Baro Vila , María Antonella de Bortoli , Ramiro Arias , Damian Malano , Franco Nicolás Ballari , Mirta Diez

Introduction

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.

Objective

We aimed to evaluate the accuracy of multiple scores in predicting the risk of 30-day events in patients WHF who underwent brief hospitalizations.

Methods

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.

Results

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 >0.05). Among the low-risk patients (n = 76, OPTIMIZE-HF score <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 p < 0.006).

Conclusion

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.

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引用次数: 0

Future of magnetic sensors applications in early prediction of cardiac health status 磁传感器在早期预测心脏健康状况方面的应用前景。

IF 3 3区医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS

Current Problems in Cardiology

Pub Date : 2025-02-27 DOI: 10.1016/j.cpcardiol.2025.103022

Muhammad Shah Zeb Khan , Shahid Ullah Khan , Faris Alrumaihi , Wanian M. Alwanian , Hajed Obaid Alharbi , Somayah Mohammad Alfifi , Layal Khaled Makki , Majed Sahli , Abdulmajeed Abdullah AL-Nafjan , Matthew Jackson

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.

健康监测技术的发展突显了对精确可靠传感器的需求，尤其是在心脏健康方面。本综述探讨了磁传感器在早期预测心脏健康状况方面替代光学传感器的潜力。光学传感器面临着巨大的挑战，尤其是对于肤色较深的人来说，光吸收的增加会对测量的准确性产生不利影响。此外，传感器-皮肤耦合和运动伪影等问题也进一步影响了光学设备的性能。相比之下，磁传感器提供了一个引人注目的解决方案，它能提供一致的读数，而不受肤色的影响，从而提高了健康监测的包容性。这些传感器利用磁场，不依赖光的穿透，从而改善了与皮肤表面的耦合，并在运动过程中保持准确性。本文讨论了磁传感器技术的最新进展及其对心脏健康应用的影响，强调了提高预测心脏结果的准确性和可靠性的潜力。随着医疗保健向更个性化、更精确的监测解决方案转变，磁传感器成为一个前景广阔的前沿领域，解决了当前健康状况预测方法中的关键难题。通过关注这些创新技术，我们旨在为当前有关加强心脏健康监测和促进更公平的医疗保健解决方案的讨论做出贡献。

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引用次数: 0

Non-invasive imaging assessment in angina with non-obstructive coronary arteries (ANOCA)

IF 3 3区医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS

Current Problems in Cardiology

Pub Date : 2025-02-25 DOI: 10.1016/j.cpcardiol.2025.103021

Luca Bergamaschi MD , Antonio De Vita MD , Angelo Villano MD , Saverio Tremamunno MD , Matteo Armillotta MD , Francesco Angeli MD , Marta Belmonte MD , Pasquale Paolisso MD, PhD , Alberto Foà MD, PhD , Emanuele Gallinoro MD, PhD , Alberto Polimeni MD , Vincenzo Sucato MD , Doralisa Morrone MD, PhD , Domenico Tuttolomondo MD , Anna Giulia Pavon MD , Marco Guglielmo MD , Nicola Gaibazzi MD , Saima Mushtaq MD , Pasquale Perrone Filardi MD, PhD , Ciro Indolfi MD, PhD , Carmine Pizzi MD

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.

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引用次数: 0

Hereditary transthyretin amyloidosis (ATTRv)

IF 3 3区医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS

Current Problems in Cardiology

Pub Date : 2025-02-13 DOI: 10.1016/j.cpcardiol.2025.103019

Filippos Triposkiadis , Alexandros Briasoulis , Randall C. Starling , Dimitrios E. Magouliotis , Christos Kourek , George E Zakynthinos , Efstathios K. Iliodromitis , Ioannis Paraskevaidis , Andrew Xanthopoulos

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.

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引用次数: 0

Editor’s Message

IF 3 3区医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS

Current Problems in Cardiology

Pub Date : 2025-02-08 DOI: 10.1016/S0146-2806(25)00037-4

引用次数: 0

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