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Pulmonary embolism (PE) presents with a spectrum of symptoms, ranging from asymptomatic cases to life-threatening events. Common symptoms include sudden dyspnea, chest pain, limb swelling, syncope, and hemoptysis. Clinical presentation varies based on thrombus burden, demographics, and time to presentation. Diagnostic evaluation involves assessing symptoms, physical examination findings, and utilizing laboratory tests, including D-dimer. Risk stratification using tools like Wells score, Pulmonary Embolism Severity Index, and Hestia criteria aids in determining the severity of PE. PE is categorized based on hemodynamic status, temporal patterns, and anatomic locations of emboli to guide in making treatment decisions. Risk stratification plays a crucial role in directing management strategies, with elderly and comorbid individuals at higher risk. Early identification and appropriate risk stratification are essential for effective management of PE. As we delve into this review article, we aim to enhance the knowledge base surrounding PE, contributing to improved patient outcomes through informed decision-making in clinical practice.
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INTRODUCTION: As digital health expands, reliance on digital endpoints is rapidly increasing to improve diagnostic accuracy and management in the healthcare field. Digital endpoints are beneficial to monitor how patient's clinical information is processed outside of a clinical setting. AREAS COVERED: Implications of cardiac digital endpoints play a role in allowing patients to track their clinical data outside of a clinical setting. Advances in cardiac digital endpoints involve advanced devices and implants, trackers, and artificial intelligence. We will explore further digital endpoints within cardiology and threats as well as security concerns for policies to focus on the maintenance of safe patient health data analysis, transmission, and processing. EXPERT OPINION: As digital endpoints evolve and expand, policymakers must ensure there is adequate cybersecurity surrounding them. We believe guidelines should be in place to make sure data is accessed solely on a secure connection and access to digital literacy for patients should be readily available.
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Seguridad Computacional , Humanos , Inteligencia ArtificialRESUMEN
Background: The Hispanic/Latino population has greater risk (estimated >50%) of developing type 2 diabetes (T2D) and developing it at a younger age. The American Diabetes Association estimates costs of diagnosed diabetes in 2017 was $327 billion; with medical costs 2.3x higher than patients without diabetes. The purpose of this manuscript is to describe the methodology utilized in a randomized controlled trial aimed at evaluating the efficacy of a diabetes telemanagement (DTM) program for Hispanic/Latino patients with T2D. The intent is to provide information for future investigators to ensure that this study can be accurately replicated. Methods: This study was a randomized controlled trial with 240 participants. Eligible patients (Hispanic/Latino, aged 18+, living with T2D) were randomized to Comprehensive Outpatient Management (COM) or DTM. DTM was comprised of usual care, including routine clinic visits every three months, as well as: Biometrics (a tablet, blood glucose meter, blood pressure monitor, and scale); Weekly Video Visits (facilitated in the patient's preferred language); and Educational Videos (including culturally congruent diabetes self-management education and quizzes). COM consisted of usual care including routine clinic visits every three months. For this study, COM patients received a glucometer, glucose test strips, and lancets. Establishing a therapeutic nurse-patient relationship was a fundamental component of our study for both groups. First contact (post-enrollment) centered on ensuring that patients and caregivers understood the program, building trust and rapport, creating a non-judgmental environment, determining language preference, and establishing scheduling availability (including evenings and weekends). DTM were provided with a tablet which allowed for self-paced education through videos and weekly video visits. The research team and Community Advisory Board identified appropriate educational video content, which was incorporated in diabetes educational topics. Video visits allowed us to assess patient involvement, motivation, and nonverbal communication. Communicating in Spanish, and awareness of diverse Hispanic/Latino backgrounds was critical, as using relevant and commonly-used terms can increase adherence and improve outcomes. Shared decision-making was encouraged to make realistic health care choices. Conclusion: Key elements discussed above provide a framework for future dissemination of an evidence-based DTM intervention to meet the needs of underserved Hispanic/Latino people living with T2D.
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INTRODUCTION: Dietary habits, such as the Mediterranean diet and the Dietary Approaches to Stop Hypertension (DASH), have been shown to improve cardiac health. Another more recent popular form of dieting incorporates periods of fasting known as intermittent fasting. The two main forms are alternate-day fasting and time-restricted eating. METHODS: PubMed search and literature review was undertaken. This review evaluates the current literature regarding the effects of the fasting dietary model and other types of fasting upon the lipid panel. RESULTS: There have been studies that have shown that intermittent fasting does provide a benefit in cardiovascular health, weight loss, and hypertension. However, the effect on cholesterol and triglyceride levels during intermittent fasting is in question. CONCLUSION: The effect that fasting has on one's lipid panel is unclear, there are studies that show that different forms of fasting affect the lipid panel in various ways. There are studies that show that intermittent fasting does improve one's lipid profile and provides health benefits. Randomized controlled clinical trials with a large sample size are needed to evaluate the effects that intermittent fasting has based on race, ethnicity, gender, obesity, dyslipidemia, diabetic and healthy patients, and will lead to definitive evidence of lipid panel outcomes beyond current evidence based solely upon observational cohorts with numerous and multifactorial confounding factors and biases.
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Ayuno , Lípidos , Humanos , Ayuno/fisiología , Lípidos/sangre , Enfermedades Cardiovasculares/prevención & controlRESUMEN
Cardiovascular diseases exert a significant burden on the healthcare system worldwide. This narrative literature review discusses the role of artificial intelligence (AI) in the field of cardiology. AI has the potential to assist healthcare professionals in several ways, such as diagnosing pathologies, guiding treatments, and monitoring patients, which can lead to improved patient outcomes and a more efficient healthcare system. Moreover, clinical decision support systems in cardiology have improved significantly over the past decade. The addition of AI to these clinical decision support systems can improve patient outcomes by processing large amounts of data, identifying subtle associations, and providing a timely, evidence-based recommendation to healthcare professionals. Lastly, the application of AI allows for personalized care by utilizing predictive models and generating patient-specific treatment plans. However, there are several challenges associated with the use of AI in healthcare. The application of AI in healthcare comes with significant cost and ethical considerations. Despite these challenges, AI will be an integral part of healthcare delivery in the near future, leading to personalized patient care, improved physician efficiency, and anticipated better outcomes.
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OBJECTIVES: The triple aim of population health focuses on providing the right care to the right patient at the right time. Patient use of digital health tools may reduce the overuse of emergency services. We tested the safety and clinical applicability of a patient-facing, automated digital urgent care triage tool (UCTT) for patients with chest pain. METHODS: The automated digital health UCTT (IVisitMD, Roslyn, NY) uses evidence-based algorithms to curate on-demand patient access to physicians, health facilities, and emergency departments (EDs). A retrospective observational study was performed on patients who presented to the ED before the coronavirus disease 2019 pandemic with the complaint of chest pain. We evaluated 1372 patients who presented to the ED for chest pain; 383 patients met the criteria for the final diagnostic-related group (DRG) that reflected acute coronary syndrome. In total, 109 patients who had electronic records documenting all of the components of clinical history, medical decision making, and patient disposition were assigned to the study. Two physicians not involved in patient care independently reviewed records and determined whether the ED visit was warranted (ED+) or not (ED-), which was then compared with the UCTT recommendation. RESULTS: Most patients had coronary artery disease or cardiac risk factors. Cardiac DRGs were observed in 84.3% of participants; 86 patients had no high-risk DRG, with ED- 9.7% by UCTT, and 19.8% by a medical doctor (MD) (P < 0.05). The high-risk DRG patients had an acute infarction, stroke, or pulmonary embolism. Twenty-three patients with a high-risk DRG were 100% ED+ by the UCTT and MD. The estimated savings, assuming the average cost of an emergency evaluation for chest pain is $7000/patient, were $70,000 with UCTT per 100 patient visits. CONCLUSIONS: No high-risk conditions were missed by the UCTT. Our UCTT was more conservative than MD decision making, providing a sizable safety margin and adequate patient triage.
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Enfermedad de la Arteria Coronaria , Servicios Médicos de Urgencia , Humanos , Triaje , Sistemas de Atención de Punto , Dolor en el Pecho/diagnóstico , Dolor en el Pecho/etiología , Servicio de Urgencia en HospitalRESUMEN
Carbon monoxide (CO) poisoning accounts for over 50,000 estimated emergency room visits and approximately 1200 deaths per year in the US. Despite the high prevalence, there is a paucity of data looking at the association between laboratory biomarkers and clinical outcomes. Our study investigates the association between myocardial injury as assessed by increased troponin levels and its effect on in-hospital outcomes in CO poisoning. A total of 900 sequential charts of patients presenting with CO poisoning between 1 January 2012, and 31 August 2019, at our tertiary center with regional hyperbaric chamber and burn unit, were reviewed. Of the 900, a total of 488 patients had elevated carboxyhemoglobin levels. Of these 488 patients, 119 (24.4%) also had blood troponin levels measured. Patients were stratified based on the presence or absence of myocardial injury as evidenced by highly sensitive serum troponin I (TnI) level > 0.5 ng/mL to determine if a correlation exists relating to myocardial injury and risk of major adverse events. Mean age was 51.2 years, 58.8% were males, 35.3% were non-White, and 10.1% were intentional CO poisonings. Comorbidities included hypertension: 37%, diabetes: 21%, smoking: 21%, hyperlipidemia: 17.6%, coronary artery disease: 11.8%, asthma: 5.9%, heart failure: 5%, atrial fibrillation: 4.2%, and chronic obstructive pulmonary disease: 4.2%. Myocardial injury occurred in 22 patients (18.5%) and was associated with increased likelihood of requiring intensive care admission (54.5% vs. 20.6%, p = 0.002) and intubation (40.9% vs. 14.4%, p = 0.008). TnI elevation was associated with higher in-hospital mortality (p = 0.008, OR 21.3) compared to patients without TnI elevation. Older age was independently associated with increased in-hospital mortality (p = 0.03, OR 1.08). When controlling for age, in-hospital mortality remained statistically significant (p = 0.01, OR 21.37). No significant difference was found with respect to age, comorbidities, gender, race, ethnicity, or hospital length of stay in patients with and without myocardial injury. Myocardial injury induced by CO exposure occurs frequently and adversely affects clinical outcomes. Further research is needed to help guide physicians in the management of CO poisoning and associated myocardial injury to improve patient outcomes.
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Zachary Lowy was not included as an author in the original publication [...].
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Many components of required skills and competencies exist, and are felt to contribute to the successful completion of training for independent practice in the medical field as a physician. These requirements are documented and detailed in a temporal fashion during the training period and used for advancement during training as well as documentation of successful completion of that training. While clinical skill development that allows optimal care and treatment of patients is of utmost importance during this training, other components of the training are important and contribute to the ideal development of a well-rounded and credentialed physician. One of these other components which is very important and needs to be recognized is the engagement of medical trainees across disciplines in academic and research scholarly activity. This engagement is an important component of medical training, and the development of skills and didactics geared toward efficient and accurate performance of research is essential.
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Artificial intelligence (AI) and language models such as ChatGPT-4 (Generative Pretrained Transformer) have made tremendous advances recently and are rapidly transforming the landscape of medicine. Cardiology is among many of the specialties that utilize AI with the intention of improving patient care. Generative AI, with the use of its advanced machine learning algorithms, has the potential to diagnose heart disease and recommend management options suitable for the patient. This may lead to improved patient outcomes not only by recommending the best treatment plan but also by increasing physician efficiency. Language models could assist physicians with administrative tasks, allowing them to spend more time on patient care. However, there are several concerns with the use of AI and language models in the field of medicine. These technologies may not be the most up-to-date with the latest research and could provide outdated information, which may lead to an adverse event. Secondly, AI tools can be expensive, leading to increased healthcare costs and reduced accessibility to the general population. There is also concern about the loss of the human touch and empathy as AI becomes more mainstream. Healthcare professionals would need to be adequately trained to utilize these tools. While AI and language models have many beneficial traits, all healthcare providers need to be involved and aware of generative AI so as to assure its optimal use and mitigate any potential risks and challenges associated with its implementation. In this review, we discuss the various uses of language models in the field of cardiology.
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Cardiología , Sistema Cardiovascular , Cardiopatías , Humanos , Inteligencia Artificial , LenguajeRESUMEN
PURPOSE: To evaluate awareness about cardiovascular (CVD) risk among a racially and ethnically diverse cohort of health system employees. DESIGN: Cross-sectional study. SETTING: Voluntary survey of health system employees during an annual CVD awareness and screening event. SUBJECTS: 759 health system employees. MEASURES: We performed initial CVD screening measurements (blood pressure, body mass index) and collected patient-reported answers to questions about their own CVD risk factors (hypertension, high cholesterol, diabetes, overweight, smoking, physical inactivity and family history of CVD) and whether or not they believed that CVD is preventable. Subjects were offered in-depth follow-up CVD screening (lipid panel, hs-CRP, hemoglobin A1c), if interested. ANALYSIS: Continuous measures were compared across sex and racial/ethnic subsets using a t test and analysis of variance technique. Univariable and multivariable logistic regression models were used to estimate the employee's willingness to undergo further comprehensive screening. RESULTS: African American, Hispanic, and Asian employees were younger than white employees (P < .0001). More than one-quarter of African Americans reported a history of hypertension, a higher rate than for other subgroups (P = .001). The rate of self-reported diabetes was highest in African American and Asian employees (P = .001). African Americans had a 54% reduced odds of electing to pursue follow-up CVD screening (odds ratio: .46, 95% confidence interval = .24-.91, P = .025). CONCLUSION: Presence of CVD risk factors and knowledge of their importance differ among racial and ethnic groups of health system employees in our cohort as does interest in pursuing follow-up screening once risk factors are identified. Development of evidence-based customization strategies by racial and ethnic group may improve understanding of and interest in CVD risk factors and advance prevention. The data from this study will inform future research and strategies for employee health promotion.
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Enfermedades Cardiovasculares , Diabetes Mellitus , Hipertensión , Humanos , Estados Unidos , Enfermedades Cardiovasculares/epidemiología , Factores de Riesgo , Prevalencia , Estudios Transversales , Hipertensión/complicaciones , Diabetes Mellitus/epidemiología , Factores de Riesgo de Enfermedad Cardiaca , BlancoRESUMEN
Background: The presence of permanent pacemakers (PPM) is common among the elderly population. Trauma literature has shown that the inability to augment cardiac output by at least 30% after injury portends a higher mortality. The presence of a PPM may be a surrogate marker to identify patients who are unable to increase cardiac output. We aimed to evaluate the association between the presence of PPM and clinical outcomes in elderly patients presenting with traumatic injuries. Methods: A total of 4505 patients aged ≥65 years admitted with acute trauma from 2009 to 2019 at our Level I Trauma center were evaluated and stratified into two groups using propensity matching on age, sex, injury severity score (ISS), and year of admission based on the presence of PPM. Logistic regression was performed to analyze the impact of the presence of PPM on mortality, surgical intensive care unit (SICU) admission, operative intervention, and length of stay. Prevalence of cardiovascular comorbidities was compared using χ2 analysis. Results: Data from 208 patients with PPM and 208 propensity-matched controls were evaluated. Charlson Comorbidity Index, mechanism of injury, intensive care unit admission, and rate of operative intervention were comparable in the two groups. PPM patients had more coronary artery disease (p=0.04), heart failure with reduced ejection fraction (p=0.003), atrial fibrillation (AF, p<0.0001), and antithrombotic use (p<0.0001). We found no association between mortality amongst the groups after controlling for influencing variables (OR=2.1 (0.97 to 4.74), p=0.061). Patient characteristics associated with survival included female sex (p=0.009), lower ISS (p<0.0001), lower revised trauma score (p<0.0001), and lower SICU admission (p=0.001). Conclusion: Our study shows no association between mortality among patients with PPM admitted for treatment of trauma. Presence of a PPM may be an indicator of cardiovascular disease, but this does not translate into increased risk in the modern era of trauma management in our patient population. Level of evidence: Level III.
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This report discusses the case of a patient with a past medical history of Poland syndrome and dextrocardia who was admitted for a transient ischemic attack. Poland syndrome is a rare genetic condition characterized by underdevelopment of chest wall musculature that presents with a variety of associations that may or may not be present in each case. This case report intends to discuss a unique presentation of Poland syndrome with dextrocardia, one of the rare conditions associated with Poland syndrome, as well as the treatment of Poland syndrome as a whole and possible associated complications.
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Background and aim: During the early stages of the COVID-19 pandemic, nationwide lockdowns caused disruption in the diets, physical activities, and lifestyles of patients with type 2 diabetes. Previous reports on the possible association between race/ethnicity, COVID-19, and mortality have shown that Hispanic/Latino patients with type 2 diabetes who are socioeconomically disadvantaged are disproportionately affected by this novel virus. The aim of this study was to explore stressors associated with changes in diabetes self-management behaviors. Our goal was to highlight the health disparities in these vulnerable racial/ethnic minority communities and underscore the need for effective interventions. Methods and participants: Participants were enrolled in part of a larger randomized controlled trial to compare diabetes telehealth management (DTM) with comprehensive outpatient management (COM) in terms of critical patient-centered outcomes among Hispanic/Latino patients with type 2 diabetes. We conducted a thematic analysis using patient notes collected from two research nurses between March 2020 and March 2021. Two authors read through the transcripts independently to identify overarching themes. Once the themes had been identified, both authors convened to compare themes and ensure that similar themes were identified within the transcripts. Any discrepancies were discussed by the larger study team until a consensus was reached. Results: Six themes emerged, each of which can be categorized as either a source or an outcome of stress. Sources of stress associated with the COVID-19 pandemic were (1) fear of contracting COVID-19, (2) disruptions from lockdowns, and (3) financial stressors (e.g., loss of income). Outcomes of COVID-19 stressors were (1) reduced diabetes management (e.g., reduced diabetes monitoring and physical activity), (2) suboptimal mental health outcomes (e.g., anxiety and depression), and (3) outcomes of financial stressors. Conclusion: The findings indicated that underserved Hispanic/Latino patients with type 2 diabetes encountered a number of stressors that led to the deterioration of diabetes self-management behaviors during the pandemic.
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Echocardiography is the gold standard clinical tool for the evaluation of left ventricular diastolic dysfunction (LVDD) and is used to validate other cardiac imaging modalities in measuring diastolic dysfunction. We examined Cardiac Magnetic Resonance Imaging (CMR) in detecting diastolic dysfunction using the time-volume curve-derived parameters compared to echocardiographic diastolic parameters. We evaluated patients who underwent both CMR and transthoracic echocardiography (TTE) within 2 ± 1 weeks of each other. On echo, Doppler/Tissue Doppler Imaging (TDI) measurements were obtained. On CMR, peak filling rate (PFR), time to PFR (TPFR), 1/3 filling fraction (1/3FF), and 1/3 filling rate (1/3FR) were calculated from the time-volume curve. Using the commonly employed E/A ratio, 44.4% of patients were found to have LVDD. Using septal E/E' and lateral E/E', 29.6% and 48.1% of patients had LVDD, respectively. Correlation was found between left atrial (LA) size and E/A ratio (R = -0.36). Using LVDD criteria for CMR, 63% of patients had diastolic dysfunction. CMR predicted LVDD in 66.7% of the cases. CMR-derived diastolic filling parameters provided a relatively easy and promising method for the assessment of LVDD and can predict the presence of LVDD as assessed by traditional Doppler and TDI methods.