American College Research Articles

Hemorrhages and risk factors in patients undergoing thromboprophylaxis in a respiratory critical care unit: a secondary data analysis of a cohort study

ObjectiveTo verify whether the bleeding risk assessment guidelines from the 9th American College of Chest Physicians (ACCP) are prognostic for respiratory intensive care unit (RICU) patients and to explore risk factors for hemorrhages, we conducted a secondary data analysis based on our previously published cohort study of venous thromboembolism.Patients and methodsWe performed a secondary data analysis on the single-center prospective cohort from our previous study. Patients admitted to the RICU at Beijing Chao-Yang Hospital from August 1, 2014 to December 31, 2020 were included and followed up until discharge.ResultsThe study enrolled 931 patients, of which 715 (76.8%) were at high risk of bleeding, while the remaining were at low risk. Of the total, 9.2% (86/931) suffered major bleeding, and no significant difference was found between the two risk groups (p = 0.601). High-risk patients had poor outcomes, including higher mortality and longer stays. Independent risk factors for major bleeding were APACHE II score ≥ 15; invasive pulmonary aspergillosis; therapeutic dose of anticoagulants; extracorporeal membrane oxygenation; and continuous renal replacement therapy. Blood transfusion not related to bleeding appeared to be an independent protective factor for major bleeding (OR 0.099, 95% CI 0.045–0.218, p < 0.001).ConclusionBleeding risk assessment models from the 9th ACCP guidelines may not be suitable for patients in RICU. Building a bleeding risk assessment model that is suitable for patients in all RICUs remains a challenge.Trial registration ClinicalTrials.gov: NCT02213978.

Implementation of Primary Immune Thrombocytopenia Clinical Practice Guidelines for Management of Pregnancy.

Background: Managing primary immune thrombocytopenia (ITP) in pregnancy is challenging. Providers must balance bleeding risk against medication toxicity. The evaluation of the implementation of pregnancy-specific ITP clinical guidelines has not been widely studied. The goal of this study was to describe the implementation of pregnancy-specific ITP guidelines at an academic health center. Methods: We conducted a retrospective chart review at the University of Oklahoma Health system from 2011 to 2020. Descriptive statistics were calculated to summarize the characteristics of the study population. Management, according to the clinical guidelines (American Society of Hematology; American College of Obstetricians and Gynecologists) was evaluated during pregnancy and during/for delivery. Results: A total of 85 pregnant persons with ITP were included. The majority (68%; 58/85) delivered vaginally. There were 0 maternal deaths and 2 infant deaths. No patients had major bleeding during pregnancy. Postpartum hemorrhage was experienced by 14%. The management of thrombocytopenia during pregnancy was 100% adherent to the strong recommendation for severe (n = 13) and mild (n = 11) thrombocytopenia. However, 18/50 (36%) asymptomatic persons with moderate thrombocytopenia received treatment despite the strong recommendation that treatment was unnecessary. Additionally, 8/21 (38%) persons with moderate thrombocytopenia received treatment to increase platelet counts for epidural anesthesia despite the guideline's suggestion that it was unnecessary. Conclusions: During pregnancy, patients with severe thrombocytopenia (i.e., most at risk of bleeding) received treatment. On the other hand, approximately 40% of pregnant persons with ITP received unnecessary treatment for moderate asymptomatic thrombocytopenia either during pregnancy or for an epidural. Utilizing clinical practice guidelines would reduce the overtreatment of pregnant persons which would reduce the potential side effects of therapy for the mother and infant.

A Multi-label Artificial Intelligence Approach for Improving Breast Cancer Detection With Mammographic Image Analysis.

Breast cancer remains a major global health concern. This study aimed to develop a deep-learning-based artificial intelligence (AI) model that predicts the malignancy of mammographic lesions and reduces unnecessary biopsies in patients with breast cancer. In this retrospective study, we used deep-learning-based AI to predict whether lesions in mammographic images are malignant. The AI model learned the malignancy as well as margins and shapes of mass lesions through multi-label training, similar to the diagnostic process of a radiologist. We used the Curated Breast Imaging Subset of Digital Database for Screening Mammography. This dataset includes annotations for mass lesions, and we developed an algorithm to determine the exact location of the lesions for accurate classification. A multi-label classification approach enabled the model to recognize malignancy and lesion attributes. Our multi-label classification model, trained on both lesion shape and margin, demonstrated superior performance compared with models trained solely on malignancy. Gradient-weighted class activation mapping analysis revealed that by considering the margin and shape, the model assigned higher importance to border areas and analyzed pixels more uniformly when classifying malignant lesions. This approach improved diagnostic accuracy, particularly in challenging cases, such as American College of Radiology Breast Imaging-Reporting and Data System categories 3 and 4, where the breast density exceeded 50%. This study highlights the potential of AI in improving the diagnosis of breast cancer. By integrating advanced techniques and modern neural network designs, we developed an AI model with enhanced accuracy for mammographic image analysis.

BRCA Mutation in Ovarian Cancer: Implications for Screening, Diagnosis, and Preventive Measures

Ovarian cancer is the most common gynaecological malignancy and the seventh most common malignancy in women. Inherited ovarian cancer is caused by mutations in certain genes, such as BRCA1 and BRCA2, as well as many minor genes. The pathology of ovarian cancer involves damage to the cell cycle mechanism secondary to mutations in BRCA1/2 protective genes. These mutations provide a meaningful marker for screening and diagnosing hereditary ovarian cancer. Classification of ovarian cancer is based on histology, depending on which layers of the ovary are affected. The authors conducted an electronic search using keywords and selected the included studies based on pre-established inclusion criteria. To avoid bias in the data extraction process, three reviewers extracted information independently. Risk assessment models provided by the National Comprehensive Cancer Network (NCCN) and American College of Obstetricians and Gynecologists (ACOG) are mostly used in clinical practice. The combination of serial serum cancer antigen-125 (CA-125) levels and transvaginal ultrasound is the only evidence-based screening approach available to patients at increased risk for ovarian cancer. Strong evidence has made salpingo-oophorectomy the gold standard for risk-reducing surgery. Bilateral salpingectomy, in contrast, is restricted to clinical trials currently. The protective effects of oral contraceptives have made them suitable agents for chemoprevention. Whilst the potential benefits of aspirin and certain other drugs have been investigated, further research is required to address the gap in data for them to be used in clinical practice for the purpose of ovarian cancer prevention.

Femtosecond Laser-Assisted Graft Preparation and Implantation of Corneal Allogeneic Intrastromal Ring Segments for Corneal Ectasia: 1-Year Results.

To evaluate the outcomes of patients treated with corneal allogeneic intrastromal ring segments cut with femtosecond laser (Femto-CAIRS) without concomitant corneal crosslinking. Patients with keratoconus treated with Femto-CAIRS at the American University of Beirut Medical Center were included (May 2022-January 2023). A proprietary software program was developed on the femtosecond laser to cut allogeneic segments. Visual, refractive, tomographic, aberrometric, and epithelial data by anterior segment optical coherence tomography were measured at baseline and 1, 3, 6, and 12 months postoperatively. 20 eyes of 15 patients were included and followed up for 12 months. The manifest refraction spherical equivalent and cylinder improved from -6.79 ± 4.9 diopter (D) and -4.25 ± 1.8 D to -1.88 ± 2.9 D (P < 0.001) and -2.64 ± 1.4 D (P = 0.01) 12 months postoperatively, respectively. 75% of eyes gained 3 or more corrected distance visual acuity lines, most of which (65%) gained 4 lines or more 12 months postoperatively. The maximum keratometry and vertical coma decreased by 5.2 D (P < 0.001) and 1 μm (P = 0.001), respectively, 3 months postoperatively and remained stable until 12 months. The largest anterior stromal elevation over the central 5-mm diameter decreased from 36.0 ± 18.2 μm preoperatively to 19.9 ± 9.25 μm at 1 week postoperatively (P < 0.001) and remained relatively stable. Epithelial thickness over the cone increased relative to baseline starting 1 month postoperatively and becoming stable after 6 months while the mean epithelial thickness central to the ring peaked at 1 month after which it decreased to reach a plateau at 6 months. The Femto-CAIRS procedure improves visual and tomographic parameters and allows repeatable and safe results with the possibility of customization for individualized management.

A Comparative Study on ERNIE Bot 4.0 Turbo and ChatGPT 4o’s Performance in Evaluating First-Year Undergraduate Persuasive Essays

This study compares the performance of two prominent AI language models, ERNIE Bot 4.0 Turbo and ChatGPT 4o, in evaluating first-year undergraduate persuasive essays within the social sciences domain. Drawing from the Louvain Corpus of Native English Essays, a comprehensive collection of academic writings by British and American university students, this study aims to examine the models’ capabilities in assessing the grammatical correctness, vocabulary usage, coherence, content depth, and writing style of the essays. This study adopts a structured evaluation framework based on IELTS writing criteria to assess the models’ performance. A 40 persuasive essays from the Louvain Corpus were evaluated by both AI models and compared with human raters’ evaluations to ensure validity. The findings reveal distinct differences in the assessment styles of the two models. ChatGPT 4o exhibits a more critical approach, pinpointing areas for improvement, such as lack of argument development, coherence issues, and grammatical errors. Conversely, ERNIE Bot 4.0 Turbo offers a more balanced assessment, acknowledging essays’ strengths and suggesting improvement areas. Notably, ERNIE Bot’s evaluation highlights potential biases in AI-based assessment systems, particularly in its unequal emphasis on viewpoints. This comparative examination offers valuable perspectives on the advantages and constraints of AI models in assessing scholarly compositions, underscoring the significance of amalgamating varied AI functionalities to establish more all-inclusive and efficient feedback systems for learners. By understanding these differences, researchers and educators can better utilize AI-assisted essay evaluation systems to enhance student learning experiences.

Hestia to Demeter: Reducing Agrochemical Pollution to Empower Women Farmers

The 2020 Farm to Fork strategy by the European Commission aimed to reduce agrochemical pollutants and protect biodiversity but stirred controversy due to conflicts between intensive agriculture demands and environmental priorities. Strict limits on agrochemical residues required farmers to produce less. The de-intensification and agroecology prone policy impacted livelihoods, sparking political upheaval. Due to lack of pesticide alternatives and extension services, Lebanese exports have faced challenges complying with residue restrictions. Agricultural laborers and consumers are exposed to high levels of pesticide residue. Undocumented refugee women form a significant part of the agricultural workforce, and women led agricultural cooperatives have minimal access to funding, exacerbating gender inequity. The American University of Beirut (AUB) has played a pivotal role in agroecology research, rural development, and gender equity. Knowledge transfer promotes civic awareness and private sector partnerships. Local Natural enemies and parasites emerged as a residue-free alternative to agrochemicals. Biocontrol-based integrated pest management holds great potential for mitigating pesticides hazards to human and environmental health. Launching the “natural predators” initiative from women-run farms holds a great promise in dually resolving the problems of agrochemical pollution and gender equity in the agricultural sector. Empowering women in agriculture aims to transform their role from care work to farm management. This paper focuses on the technical aspects of developing “natural enemies” as pesticides alternative for Lebanese agriculture, aiming to overcome export challenges and revitalize the economy. "Farm to Fork meets Hestia to Demeter" underscores AUB's commitment to sustainability aligns climate action with gender equity. By supporting women entrepreneurs and addressing climate change's impact on public health, the initiative contributes to AUB's broader mission of advancing Lebanon and the region through Education for Sustainable Development.

Public health resilience and recovery in Ukraine: Academic partnerships to improve population health

Abstract Background Strengthening the public health workforce is among top priorities for the transformation of Ukraine’s public health system. As part of the USAID Public Health System Recovery and Resilience Activity, an Academic Partnership Collaborative brought together three Ukrainian universities (National University Kyiv-Mohyla Academy, I. Horbachevsky Ternopil National Medical University, Sumy State University), two American universities (Temple University and Drexel University), and the All-Ukrainian Association of Public Health Specialists (UPHA) to enhance the competencies of public health graduates in Ukraine. Objectives The collaborative focuses on strengthening the Ukrainian universities’ public health curricula and the teaching and research competencies of the Ukrainian faculty, making the curricular changes in Ukraine better aligned with US and European academic standards. The university partners are collaborating with the newly established UPHA in building partnerships with peer organizations in the US (American Public Health Association) and Europe (EuPHA) and sharing advancements in public health education with the broader community of public health practitioners in Ukraine to enhance their competencies to improve population health and align with European systems of public health. Results We have established linkages among all partners via an initial meeting in Uzhhorod, Ukraine in April 2024. We anticipate results by November 2024 to include curriculum review recommendations, coaching on prioritized topics for the Ukrainian partners, faculty development plans, and the establishment of continuing professional development programs in collaboration with UPHA. Conclusions Through this partnership, selected Ukrainian universities will have an enhanced and sustainable capacity to train the public health workforce and will become leading examples for other public health programs to simulate and collaborate with beyond the project. Key messages • Ukraine’s resilience and recovery relies upon the strength of the current and future public health workforce; mechanisms for building public health training are essential to a healthy population. • A collaborative process of strategic activities among American and Ukrainian universities and professional associations can be effective in building a resilient public health system in Ukraine.

Institutional Examples of Applying the SHAPE Appropriate Instructional Practice Guidelines for Higher Education Physical Activity Programs

This educational brief provides examples of applications of the recently updated Society of Health and Physical Educators (SHAPE) Appropriate Instructional Practice Guidelines for Higher Education Physical Activity Programs across several institutions (SHAPE America, 2022). Research has shown that movement and physical activity are essential for managing physical and mental health; therefore, the current low level of physical activity among college students is concerning (American College Health Association, 2024; Rodríguez-Romo et al., 2022). Academic instructional physical activity programs (IPAPs) provide students with quality learning environments that promote and support opportunities for lifelong physical activity and movement. Empowering physical activity instructors with appropriate instructional practices increases the likelihood of positive experiences for both students and instructors. The intent of this brief is to demonstrate how SHAPE IPAP Guidelines are incorporated in universities today. The institutional examples can serve as models to facilitate discussions within other colleges and universities. The information provided will assist program administrators and faculty in developing, better aligning, and supporting their respective IPAP with teaching, administrative, and instructional practices as identified in the SHAPE IPAP Guidelines document.

Equity and representation in cardiology research: a comprehensive analysis of authorship from low and low-middle income countries in leading cardiology journals

Abstract Background Cardiovascular disease is the leading global cause of mortality, with low-income and low-middle-income countries (LICs/LMICs) bearing a disproportionate burden. Despite this, research output is skewed towards affluent regions. This study aims to assess the authorship trends from LICs/LMICs in cardiology research in 5 of the leading cardiology journals. Methods PubMed authorship affiliation was obtained from 2000-2022 in (1) Journal of the American College of Cardiology (JACC), (2) Circulation, (3) Journal of the American Medical Association (JAMA) Cardiology, (4) Nature Reviews Cardiology, (NRC) and (5) European Heart Journal (EHJ). Countries were classified according to the World Bank. Results 62873 original research, clinical cases, editorials, and reviews were published in all five journals (2000-2022). The percentage of articles with at least one author affiliated with an institution from a LIC or LMIC was 1.03% (N=652): 0.96% (N=190) in JACC, 0.82% (N=198) in Circulation, 2.42% (N=51) in JAMA Cardiology, 0.84% (N=22) in NRC, and 1.33% (N=191) in EHJ. There has been an increase in the representation of authorship from LICs and LMICs in the last decade. However, the distribution of authorship between LMICs and LICs is uneven, represented mainly -by Mozambique, Uganda, Sudan, and Ethiopia for LICs, and India, Iran, Egypt, Pakistan and Lebanon for LMICs. Discussion: Our findings reveal an underrepresentation of authors from institutions from LICs and LMICs in these 5 leading cardiology journals. Efforts to enhance funding, access, and inclusion of authors from LICs and LMICs are imperative to advance global cardiovascular outcomes and promote equity in medical research.

Unlocking equity: assessing for gaps in cardiovascular guidelines for pregnant women

Abstract Introduction Cardiovascular disease is the primary contributor to pregnancy-related fatalities in the United States, displaying a gradual rise over the years. Pregnancy introduces unique physiological changes that can impact pre-existing cardiovascular conditions and trigger new complications. Considerable inequalities in pregnancy-related mortality built on race and ethnicity are unmistakable, with the highest rates observed in black non-Hispanic women. Purpose This study aims to evaluate current gaps in racial/ethnic minority participation in randomized control trials (RCTs) cited in major cardiology guidelines. Methods Citations in the 2018 ESC Guidelines for the Management of Cardiovascular Diseases During Pregnancy were evaluated for RCTs. The American Heart Association and American College of Cardiology guidelines were also examined. Manuscripts and supplementary data were examined for participant-level racial or ethnic data, including age, race, and ethnicity. Results Thirteen RCTs, representing 20,665 participants, spanning the period from 2002 to 2017, were reviewed. European guidelines referenced thirteen of the RCTS, while American guidelines referenced two RCTs. The average age of participants was 31 years old. Most of the trials were conducted in Europe (46%). Forty-six percent of RCTs reported race/ethnicity breakdowns, with pooled participation showing a majority of non-Hispanic white participants (76.7%), with limited representation from other racial groups (table). Eight trials focused on hypertension, two on venous thromboembolism, and one on heart failure. Conclusion Pregnant women are frequently excluded from RCTs due to concerns about potential harm to the developing fetus. Consequently, current guidelines lack robust RCTs tailored to pregnant women with various cardiovascular diseases. The underrepresentation of ethnic minorities in cardiovascular disease trials contributes to a scarcity of evidence-based recommendations for managing these conditions during pregnancy and postpartum. Future clinical practice guidelines should advocate for a more personalized and evidence-based approach to managing cardiovascular diseases in pregnancy.

Ischemic Stroke Unveiling Takayasu Arteritis Complicated by Coronary Arteritis: A Case Study

Context: We present the case of a 38-year-old woman admitted for ischemic stroke. Etiological evaluation revealed halo signs on transesophageal echocardiography (TEE), suggestive of Takayasu arteritis. Case Presentation: During hospitalization, the patient developed chest pain, elevated troponin levels (300 ng/L), left ventricular hypokinesia on echocardiography, and T-wave inversions on electrocardiogram (ECG), indicating coronary arteritis. High-dose corticosteroid therapy led to rapid improvement in inflammatory markers. The diagnosis of Takayasu arteritis was confirmed based on the American College of Rheumatology (ACR) criteria. This case highlights the variable clinical presentation of Takayasu arteritis, including coronary involvement, and underscores the effectiveness of corticosteroid therapy in controlling inflammation. Conclusion: Takayasu arteritis, though rare, can manifest with ischemic stroke and coronary arteritis. Prompt recognition and corticosteroid treatment are essential in managing this potentially life-threatening condition.

Efficacy of combination lipid lowering therapy in achieving low density lipoprotein cholesterol targets after one month of event in patients with acute coronary syndrome

Abstract Introduction Rapid reduction in low-density lipoprotein cholesterol (LDL-C) levels reduces the risk of recurrent events in patients with acute coronary syndrome (ACS) with benefits proportional to LDL-C reduction. Early use of combination lipid-lowering therapy (LLT) is therefore recommended. Proprotein convertase subtilisin/kexin type-9 inhibitors (PCSK9i) combined with high-intensity statins (HIS) improve LDL-C goal attainment but are unaffordable for many patients in India and worldwide. Purpose We share our experience with the use of dual RE (rosuvastatin plus ezetimibe) and triple REB (rosuvastatin plus ezetimibe and bempedoic acid) combination LLT in patients admitted with ACS. Methods All ACS patients admitted to our institute over one year (January 2023 to December 2023) were considered in this retrospective analysis. Those with unavailable lipid profile reports, either at the time of ACS or at 1-month follow-up, were excluded. Clinical and laboratory details were obtained from hospital records. The primary objective was to assess the percentage change in LDL-C levels from index event to 4 weeks follow-up. Results A total of 299 patients were included, out of which 60 were on HIS alone, 71 were on RE, and 168 were on REB (Figure). The majority (99%) of patients in the REB group were statin naïve, compared to the other two groups. The baseline mean LDL-C levels at the time of the index event were 95.3+30.5, 103.2+39.6, and 115.6+32.9 mg/dl, respectively (p&amp;lt;0.001) (Table). The mean LDL-C levels at four weeks post-ACS reduced to 52.9+21.2, 45.9+20.5, and 43.7+15.4 mg/dl, respectively (p&amp;lt;0.01). The percentage reduction in LDL-C level was 44.4%, 55.5%, and 62.2%, respectively (p&amp;lt;0.001). REB enabled 70.8% and 95.2% of patients to achieve the Lipid Association of India, and American College of Cardiology recommended LDL-C targets of &amp;lt;50 mg/dl and &amp;lt;70 mg/dl within 4 weeks. These target levels were achieved in 67.6% and 88.7% of patients on the dual RE therapy and 50% and 81.6% of patients, respectively, on HIS alone. Conclusion Our study demonstrates the capacity to rapidly achieve LDL-C goals after ACS with triple REB therapy, an affordable regimen compared to costly PCSK9i therapy.Figure.Lipid lowering strategies usedComparison of study groups

Internet-Based Social Connections of Black American College Students in Pre-COVID-19 and Peri-COVID-19 Pandemic Periods: Network Analysis.

A global-scale pandemic, such as the COVID-19 pandemic, greatly impacted communities of color. Moreover, physical distancing recommendations during the height of the COVID-19 pandemic negatively affected people's sense of social connection, especially among young individuals. More research is needed on the use of social media and communication about depression, with a specific focus on young Black Americans. This paper aims to examine whether there are any differences in social-networking characteristics before and during the pandemic periods (ie, pre-COVID-19 pandemic vs peri-COVID-19 pandemic) among the students of historically black colleges and universities (HBCUs). For the study, the researchers focus on the students who have posted a depression-related tweet or have retweeted such posts on their timeline and also those who have not made such tweets. This is done to understand the collective patterns of both groups. This paper analyzed the social networks on Twitter (currently known as X; X Corp) of HBCU students through comparing pre-COVID-19 and peri-COVID-19 pandemic data. The researchers quantified the structural properties, such as reciprocity, homophily, and communities, to test the differences in internet-based socializing patterns between the depression-related and non-depression related groups for the 2 periods. During the COVID-19 pandemic period, the group with depression-related tweets saw an increase in internet-based friendships, with the average number of friends rising from 1194 (SD 528.14) to 1371 (SD 824.61; P<.001). Their mutual relationships strengthened (reciprocity: 0.78-0.8; P=.01), and they showed higher assortativity with other depression-related group members (0.6-0.7; P<.001). In a network with only HBCU students, internet-based and physical affiliation memberships aligned closely during the peri-COVID-19 pandemic period, with membership entropy decreasing from 1.0 to 0.5. While users without depression-related tweets engaged more on the internet with other users who shared physical affiliations, those who posted depression-related tweets maintained consistent entropy levels (modularity: 0.75-0.76). Compared with randomized networks before and during the COVID-19 pandemic (P<.001), the users also exhibited high homophily with other members who posted depression-related tweets. The findings of this study provided insight into the social media activities of HBCU students' social networks and communication about depression on social media. Future social media interventions focused on the mental health of Black college students may focus on providing resources to students who communicate about depression. Efforts aimed at providing relevant resources and information to internet-based communities that share institutional affiliation may enhance access to social support, particularly for those who may not proactively seek assistance. This approach may contribute to increased social support for individuals within these communities, especially those with a limited social capacity.

Association of third-trimester N-terminal pro-brain natriuretic peptide levels and pre-eclampsia development

Abstract Background Pre-eclampsia shares numerous risk factors with cardiovascular diseases and is associated with postpartum cardiovascular complications. Natriuretic peptides, outside pregnancy valid biomarkers for detecting subclinical cardiac dysfunction, are typically elevated at the time of pre-eclampsia diagnosis. However, their role before disease manifestation is still puzzling. Aims To assess whether third-trimester natriuretic peptide levels are associated with a diagnosis of pre-eclampsia in pregnant individuals. Methods This study measured NT-proBNP levels in third-trimester samples of 1454 pregnant individuals prior to disease manifestation. Pre-eclampsia was diagnosed using the American College of Obstetrics and Gynecology (ACOG) criteria. Linear regression analyses were performed, and multivariable adjustments were done for age, body mass index (BMI), preexisting hypertension, diabetes, and chronic kidney disease. Odds ratios were calculated per doubling of NT-proBNP levels. Results Of the 1454 individuals, 118 (7.6 %) developed pre-eclampsia. The median week of gestation for blood sampling was 29.0 (IQR 28.4 – 29.4) in both groups (p = 0.68). Individuals with pre-eclampsia manifestation had higher BMI, were more often nulliparous, and had lower placental growth factor levels (all p &amp;lt; 0.01). Higher NT-proBNP levels were associated with a lower risk of pre-eclampsia, which persisted after controlling for confounders (adjusted odds ratio (OR), 0.84; 95 % CI, 0.70 - 1.00). This inverse relationship was particularly pronounced in cases of late-onset pre-eclampsia, defined as onset after 34 + 0 weeks of gestation. Specifically, for preterm pre-eclampsia between weeks 34 + 0 and 36 + 9, the adjusted OR was 0.78 (95 % CI, 0.56-1.09), and for term pre-eclampsia at or after week 37 + 0, the adjusted OR was 0.77 (95 % CI, 0.61 - 0.95). Conversely, a positive association was observed between NT-proBNP levels and the occurrence of early-onset pre-eclampsia &amp;lt; 34 + 0 weeks, with an adjusted OR of 1.69 (95 % CI, 1.00 - 2.91). Causal mediation analyses indicated that the association between higher BMI and pre-eclampsia mediated only a minor fraction (11.5 % [95 % CI, 4.3 % - 36.0 %, p &amp;lt; 0.01]) of the observed association. Conclusion These findings reveal the complex interplay between third-trimester NT-proBNP levels and the risk of pre-eclampsia. They unravel an inverse association for late-onset disease but a contrasting positive correlation for early-onset cases in temporal proximity to NT-proBNP assessment. The latter may reflect acute physiological responses to pre-eclampsia nearing diagnosis. However, the inverse relationship observed for later manifestations underscores the importance of further research to dissect the underlying pathophysiological mechanisms, which suggest cardiovascular maladaption to pregnancy prior to pre-eclampsia manifestation.

Comparison of mortality scores performance in transcatheter aortic valve replacement: suiting up to percutaneous intervention

Abstract Introduction As transcatheter aortic valve replacement (TAVR) is increasingly relevant for patients with severe symptomatic aortic stenosis, having a reliable procedure specific risk-prediction tool is paramount to provide high-quality care. Surgical scores as the EuroScore II and the Society of Thoracic Surgeons (STS) score II have been widely used to identify patients with high surgical risk in whom percutaneous treatment might be more favorable. However, current literature lacks a consensual specific predictive model for short-term and mid-term prognosis in patients undergoing transcatheter aortic valve implantation (TAVI). Purpose We aimed to access short and midterm (30 days and one year) mortality and to access the ability of a directly adapted score in estimating mortality in a real-world population. Methods We conducted a retrospective observational study in patients who implanted TAVR in a single center. Surgical mortality scores – EUROSCORE II and STS score II – and adapted score Society of Thoracic Surgeons (STS)/American College of Cardiology (ACC) transcatheter valve therapy (TVT) score were used to estimate mortality. Predictive abilities of these three scores were compared using area under the receiver operating characteristics (ROC) curve for 30-day and one year mortality. Results From January 2018 to December 2021, 416 patients were submitted to TAVR procedure in our center. The mean age was 83+-6 years old and 229 (55%) were female. 94% had hypertension, 80% dyslipidemia, 40% diabetes mellitus, 35% coronary artery disease, 32% chronic kidney disease. Mean ejection fraction was 56%. During a mean follow-up (FUP) of 816 ± 492 days, 30-day mortality was 1,7% and after 1 year mortality rate was 12,2% (higher than reported in PARTNER 3 trial, 8,5%). The Mean EuroSCORE was 3,4±3,2, mean STS-II 3,9±1,8 and mean value for STS/ACC-TVT score was 3,55±1,34. ROC curve analysis showed a significantly higher discriminative power of STS/ACC-TVT (AUC 0,749, 95% CI 0,681-0,818) compared with surgical scores (p=0,001) – figure 1. We also divided population into quartiles and compared the mortality rate at 30 days and 1 year in each quartile using either STSII or STS/ACC-TVT; As can be seen in figure 2, mortality rates correlated better with the STS/ACC-TVT score than with the STS score. Conclusion A score adapted to a TAVI population showed better predictive capacity than traditional surgical scores. Less preponderance of previous surgical status, relevance of access site and more adapted weight of age might explain the best performance of STS/ACC-TVT score. Surgical scores are helpful in choosing treatment option, but adapted scores are better to predict pos-TAVR mortality.

Limited visibility and uptake of the clopidogrel pharmacogenomic guidelines among cardiologists

Abstract Background Clopidogrel is an antiplatelet agent widely utilised in the treatment of acute coronary syndromes and following coronary interventions. Clopidogrel is a prodrug activated in the liver, mostly by cytochrome P450 2C19 that is encoded by a gene (CYP2C19). Variability in CYPC2C19 affects enzymatic activity and leads to variability in the activation and efficacy of clopidogrel. In 2011, the Clinical Pharmacogenetics Implementation Consortium (CPIC) produced the first set of detailed guidelines on the use of genetic testing to guide the clinical utilization of clopidogrel. Updates on these guidelines were published in 2013 and 2022. However, pre-prescription genetic testing is seldom performed. Purpose To establish whether these pharmacogenomics guidelines have visibility within the cardiovascular (CVD)community and have been incorporated into CVD guidelines. Methods (i) We examine the impact of the CPIC Clopidogrel guidelines released in 2013 and 2022 by looking at the citation patterns in CVD journals indexed in PubMed. (ii) We reviewed the guidelines released by the European Society of Cardiology and the American College of Cardiology on the management of coronary interventions and coronary artery disease over the last 15 years to establish whether CPIC guidelines are making any impact on practice. Results The CPIC 2022 guidelines were cited by 88 articles (49 journals) of which 13 citations (14.7%) appear in CVD journals. None of these citations are in the five major journals in which CVD guideline statements are most frequently published (Nature Review Cardiology, European Heart Journal, Circulation, Journal of the American College of Cardiology, and Journal of the American Medical Association - Cardiology). The 2013 guideline received 366 citations (183 PubMed journals). Of these, 47 were in cardiology journals (12.8%), but only 4 citations were in one of the same five major cardiology journals (2 in Nature Review Cardiology, 1 in Circulation and 1 in JAMA Cardiology). Of the 14 guidelines published by the ESC and ACC over the last 14 years, none cited the CPIC clopidogrel guidelines. Only 6 out of the 14 guidelines mentioned that the efficacy of clopidogrel was modulated by genetic factors but none of them included details or practical implications. Conclusion(s) Whilst sufficient time has not yet elapsed for the 2022 CPIC guidelines to have an impact on the specialist literature, the 2013 guidelines have had limited visibility within the CVD community. Undoubtedly, given the potential contribution of PGx, discussions on its uptakes are ongoing thus far, without resolution. Some considerations of clopidogrel genetics are diffusing into the specialty; however, from the citation evidence, it appears that CPIC clopidogrel guidelines of any vintage have had limited impact in terms of adoption and/or endorsement by cardiologists.

The Mutscore metapredictor: a new application of artificial intelligence in cardiogenetics

Abstract Introduction The rapid development of high-throughput next generation sequencing has shifted the limits of genetic knowledge from variant sequencing to variant interpretation. The current standards recommend that sequence variants are interpreted according to a comprehensive analysis including, among others, computational data. The two major types of in-silico predictive tools encompass those predicting the theoretical variant effect on splicing and algorithms predicting the potential damage of missense variants. However, overall for missense variants, prediction accuracy is often limited and results are sometimes inconsistent between software programs. Purpose We aimed at testing the predictive performance of a new predictive algorithm (Mutscore) for missense variants based on a machine learning approach, in our cohort of families referred for hereditary cardiac diseases. Methods We retrospectively reviewed DNA sequencing results from 230 families (from 01.07.2014 till 01.07.2023) addressed to our center for channelopathy or hereditary cardiomyopathy. Missense variants were identified and evaluated according to the current standards of the American College of Medical Genetics and Genomics. Variants were analysed with the commonly used in-silico tools CADD, Polyphen, Alpha-missense and Revel. We further applied the Mutscore, a new metapredictor integrating 16 existing predictive tools to data on variant topographical location. Results Among our 230 families, we detected 252 missense variants (class I-II 2.4%, class III 62.3%, class IV and V 15.9% and 19.4% respectively). We observed a significant positive correlation (r = 0.59, p=0.000) between the Mutscore and the interpretation of variants according to standards. The Mutscore had a better predictive performance than Polyphen (AUC 0.83 vs 0.67, p=0.007), Alpha-missense (AUC 0.87 vs 0.79, p=0.047) and CADD (AUC 0.87 vs 0.70, p=0.0001). Compared to Revel, the Mutscore had a comparable predictive performance (0.89 vs 0.87, p=NS), but a better sensitivity (75% vs 66%) at the maximum tolerated false positive rate of 10%. Figure 1. Focusing on variants of uncertain significance (VUS), we applied Mutscore cut-off values which were identified to reclassify variants in our previous study (1). Importantly, the Mutscore reclassified 45% of VUS into likely benign/pathogenic variants. Figure 2. Conclusions The Mutscore, through its metaprediction approach integrating data on variant topographical location, improves the accuracy of pathogenicity prediction as compared to three out of four algorithms commonly used in clinical practice, and seems to represent a valuable tool contributing to VUS disambiguation.

Lipid lowering therapy and the unmet targets in Indian patients with angiographically proven coronary artery disease: results from the OLS registry

Abstract Introduction The Lipid Association of India (LAI) 2020 guidelines classify patients with established atherosclerotic cardiovascular disease in either very high-risk or extreme-risk groups and recommend that intensive lipid-lowering therapy (LLT) should be administered to such patients to achieve a target low-density lipoprotein cholesterol (LDL-C) level below 50 mg/dl at least (preferably &amp;lt; 30 mg/dl in extreme risk groups). Purpose This study aimed to assess the achievement of the LAI-recommended LDL-C goals in patients with angiographically proven coronary artery disease (CAD). Methods The Optimization of LDL-C in the Stable CAD (OLS) registry started in August 2023 in 10 interventional cardiology centers across Northern India. Interventional cardiologists (ICs) were treating all enrolled patients with angiographically proven stable CAD, and data were collected at a single visit, including the most recent LDL-C and the LLT in the preceding three months of that LDL-C reading. The primary outcome was achieving the LAI-recommended LDL-C goal of &amp;lt;50 mg/dl. The achievement of the American College of Cardiology (ACC) recommended goal of &amp;lt;70 mg/dl was also assessed. Results A total of 1860 patients with angiographically proven CAD were enrolled in this ongoing registry over four months (August 2023- November 2023). The mean age of the study population was 60.2 + 9.2 years, and 79% were males. 30.3% of patients had Diabetes mellitus (DM), 36.1% had hypertension (HTN), 42.3% were obese (body mass index &amp;gt; 25kg/m2), and 17.8% of patients were current smokers. 74.2% of patients had a history of myocardial infarction, while 76.7% had undergone prior percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG). Rosuvastatin was the statin prescribed in 59.4% of patients, while atorvastatin was prescribed in 37.2%. 1270 (68.3%) of patients were taking high-intensity statin (HIS) therapy (either 20-40 mg rosuvastatin or 40-80 mg atorvastatin). Only 22 (1.2%) patients took other lipid-lowering agents, including ezetimibe, bempedoic acid, and fibrates. None of the patients were using PCSK9 Inhibitors. Only 482(25.9%) patients achieved their LAI recommended goal of LDL-C &amp;lt;50 mg/dl, 113(6.1%) achieved LDL-C &amp;lt; 30 mg/dl, while 863(46.4%) achieved ACC goal of &amp;lt;70 mg/dl. Notably, only 62(3.3%) patients were not taking any lipid-lowering treatment. Conclusion Results of the OLS study demonstrate the high-risk status of CAD in Indian patients with a high prevalence of DM, HTN, and obesity. Most patients were post-PCI/CABG, mainly because ICs did enrolments. More than two-thirds of patients were taking HIS and very few were not taking any treatment. Despite this, only one-fourth of patients achieved the target LDL-C goals. Greater and early utilization of combination LLT, including HIS and non-statin LLT, is likely needed to reduce these gaps for patients at the highest risk.

Social determinants of health, blood pressure classification, and incident stroke in community-dwelling adults: a prospective cohort study

Abstract Objective To determine whether the association of blood pressure (BP) categories, defined by the 2017 American College of Cardiology (ACC)/American Heart Association (AHA) BP guideline, with stroke differ among Chinese adults with low or high burden of unfavorable social determinants of health (SDOH). Design and Methods: Analyses were conducted in the prospective sub-cohort of the China Patient-Centered Evaluative Assessment of Cardiac Events Million Persons Project, started in 1, July 2017 and followed stroke events until 31, June 2023. Participants were divided into groups with low and high burden of unfavorable SDOH, which consisted of educational attainment, economic stability, health care access, social support, and neighborhood relationship. Within each group, participants were categorized as having normal BP (systolic BP [SBP] &amp;lt;120 mm Hg and diastolic BP [DBP] &amp;lt;80 mm Hg), elevated BP (SBP 120-129 mm Hg and DBP &amp;lt;80 mm Hg), stage 1 hypertension (SBP 130-139 mm Hg or DBP 80-89 mm Hg), and stage 2 hypertension (SBP ≥140 mm Hg or DBP ≥90mm Hg). The association between BP categories and stroke risk were examined within each SDOH group, separately, using multivariable-adjusted Cox proportional hazards models. Results Of the 96,686 adults included in this study (mean [SD] age, 53.8 [10.1] years; 59,080 [61.1%] women), 64,823 (67.0%) were categorized as having high burden of unfavorable SDOH. Over a median follow-up of 5.0 years, 4,673 (4.8%) incident stroke events occurred. In the group of low burden of SDOH, hazard ratios (95% CI) for stroke events for elevated BP, stage 1 hypertension, and stage 2 hypertension vs normal BP were 1.09 (0.86-1.37), 1.14 (0.94-1.37), and 1.59 (1.33-1.90), respectively. In the group of high burden of SDOH, hazard ratios for stroke events for elevated BP, stage 1 hypertension, and stage 2 hypertension vs normal BP were 1.20 (1.04-1.38), 1.45 (1.29-1.62), and 1.71 (1.53-1.91), respectively. Results were similar after excluding those taking antihypertensive medications. Conclusion Lower BP categories were closely associated with increased risk of stroke in the context of high burden of SDOH. Early counseling and surveillance of high BP should be emphasized within socioeconomically disadvantaged populations.