{"title":"Severe Left Main Coronary Artery Stenosis as the First Finding in Newly Diagnosed Chronic Coronary Syndrome: Incidence and Clinical Predictors.","authors":"Armin Attar, Mehrab Sayadi, Alireza Hosseinpour, Kasra Assadian, Mahya Beykihosseinabadi, Javad Abtahian, Davar Aldavood, Milad Nasri, Alireza Khosravi, Nizal Sarrafzadegan, Feridoun Noohi, Ahmadreza Assareh, Toba Kazemi, Hossein Farshidi, Arsalan Khaledifar, Maryam Abbaszadeh, Maryam Boshtam, Mansour Jannati","doi":"10.1177/00033197241312940","DOIUrl":"https://doi.org/10.1177/00033197241312940","url":null,"abstract":"<p><p>Severe left main coronary artery (LMCA) lesions (≥50% stenosis) portend a poor prognosis and require urgent revascularization. In this study, we identified the incidence and clinical predictors of severe LMCA stenosis in patients with chronic coronary syndrome (CCS) who had undergone coronary angiography for the first time. Using a nationwide database registry, all the patients with CCS who had undergone coronary angiography were included. Patients were classified based on having severe LMCA stenosis and they were compared based on the recommended therapeutic strategy after angiography. A multivariable binary logistic regression model was developed to identify the potential predictors of a severe LMCA lesion. Among 40,161 patients with CCS, a severe LMCA lesion was detected in a total of 1556 participants (3.87% [3.69; 6.07]). The multivariable logistic regression identified age (odds ratio [OR]: 1.04 [1.03;1.04]), male gender (OR:2.56 [2.28; 2.89]), dyslipidemia (OR:1.19 [1.06; 1.34]), and peripheral arterial disease (PAD) (OR:3.68 [1.06;12.83]) as predictors of a severe LMCA stenosis. Approximately 4% of patients with newly diagnosed CCS may suffer from severe LMCA disease. Age, male gender, dyslipidemia, and PAD are among the predicting factors of a severe LMCA stenosis and can be utilized in risk stratification of patients with CCS at greater risk of severe LMCA stenosis.</p>","PeriodicalId":8264,"journal":{"name":"Angiology","volume":" ","pages":"33197241312940"},"PeriodicalIF":2.6,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142999012","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}
AngiologyPub Date : 2025-01-17DOI: 10.1177/00033197241310572
Sebastien Goffart, Hervé Delingette, Andrea Chierici, Lisa Guzzi, Bahaa Nasr, Fabien Lareyre, Juliette Raffort
{"title":"Artificial Intelligence Techniques for Prognostic and Diagnostic Assessments in Peripheral Artery Disease: A Scoping Review.","authors":"Sebastien Goffart, Hervé Delingette, Andrea Chierici, Lisa Guzzi, Bahaa Nasr, Fabien Lareyre, Juliette Raffort","doi":"10.1177/00033197241310572","DOIUrl":"https://doi.org/10.1177/00033197241310572","url":null,"abstract":"<p><p>Peripheral artery disease (PAD) is a major public health concern worldwide, associated with high risk of mortality and morbidity related to cardiovascular and adverse limb events. Despite significant advances in both medical and interventional therapies, PAD often remains under-diagnosed, and the prognosis of patients can be difficult to predict. Artificial intelligence (AI) has brought a wide range of opportunities to improve the management of cardiovascular diseases, from advanced imaging analysis to machine-learning (ML)-based predictive models, and medical data management using natural language processing (NLP). The aim of this review is to summarize and discuss current techniques based on AI that have been proposed for the diagnosis and the evaluation of the prognosis in patients with PAD. The review focused on clinical studies that proposed AI-methods for the detection and the classification of PAD as well as studies that used AI-models to predict outcomes of patients. Through evaluation of study design, we discuss model choices including variability in dataset inputs, model complexity, interpretability, and challenges linked to performance metrics used. In the light of the results, we discuss potential interest for clinical decision support and highlight future directions for research and clinical practice.</p>","PeriodicalId":8264,"journal":{"name":"Angiology","volume":" ","pages":"33197241310572"},"PeriodicalIF":2.6,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142998860","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}
AngiologyPub Date : 2025-01-16DOI: 10.1177/00033197241306515
Serdar Gökhan Nurkoç, Turab Yakışan
{"title":"Letter: Replying to the Letter Entitled \"Mean Platelet Volume/Platelet Count Ratio and Dipper/Non-Dipper Hypertensive Patients\".","authors":"Serdar Gökhan Nurkoç, Turab Yakışan","doi":"10.1177/00033197241306515","DOIUrl":"https://doi.org/10.1177/00033197241306515","url":null,"abstract":"","PeriodicalId":8264,"journal":{"name":"Angiology","volume":" ","pages":"33197241306515"},"PeriodicalIF":2.6,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142998985","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}
AngiologyPub Date : 2025-01-16DOI: 10.1177/00033197241311949
Ahmet Kıvrak, Samuray Zekeriyayev, Uğur Canpolat, Fedan Hajizade, Çiğdem Deniz, Cem Çöteli, Ahmet Hakan Ateş, Kudret Aytemir
{"title":"Percutaneous Balloon Pericardiotomy: A Safe and Effective Approach for Managing Recurrent Massive Pericardial Effusion.","authors":"Ahmet Kıvrak, Samuray Zekeriyayev, Uğur Canpolat, Fedan Hajizade, Çiğdem Deniz, Cem Çöteli, Ahmet Hakan Ateş, Kudret Aytemir","doi":"10.1177/00033197241311949","DOIUrl":"https://doi.org/10.1177/00033197241311949","url":null,"abstract":"<p><p>Percutaneous balloon pericardiotomy (PBP) has emerged as a less invasive alternative to surgical interventions for recurrent severe pericardial effusion (PE), particularly in patients with malignancies. This study evaluates the safety and efficacy of PBP in patients with recurrent severe PE. A total of 42 patients with recurrent severe PE underwent PBP between March 2008 and July 2024. PBP was performed under conscious sedation with fluoroscopic guidance using a 20-mm by 60-mm balloon. Data were collected on patient demographics, echocardiographic findings, procedural details, and follow-up outcomes. The study population had a mean age of 58.4 ± 11.2 years, with 54.8% being female. Most patients (76.2%) had malignant PEs. The procedure was technically successful in all cases, with no immediate complications. The median hospital stay was 4 days. Post-procedural transthoracic echocardiography showed no residual effusion in 40.5% of patients and minimal effusion in 50%. Over a median follow-up of 353 days, 54.8% of patients died due to the progression of underlying malignancies, and four patients experienced recurrent effusions requiring additional intervention. PBP is a safe and effective treatment for recurrent severe PE, particularly in patients with malignancies. The procedure's high success rate and favorable safety profile suggest it might be considered a first-line treatment option in appropriate clinical settings.</p>","PeriodicalId":8264,"journal":{"name":"Angiology","volume":" ","pages":"33197241311949"},"PeriodicalIF":2.6,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142999007","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}
AngiologyPub Date : 2025-01-16DOI: 10.1177/00033197241310571
Ankit Agrawal, Aro Daniela Arockiam, Joseph El Dahdah, Bianca Honnekeri, Mary Schleicher, Shashank Shekhar, Elio Haroun, James Witten, Muhammad Majid, Gosta Pettersson, Brian Griffin, Shinya Unai, Tom Kai Ming Wang
{"title":"Comparisons of Risk Scores for Infective Endocarditis Surgery: A Meta-Analysis.","authors":"Ankit Agrawal, Aro Daniela Arockiam, Joseph El Dahdah, Bianca Honnekeri, Mary Schleicher, Shashank Shekhar, Elio Haroun, James Witten, Muhammad Majid, Gosta Pettersson, Brian Griffin, Shinya Unai, Tom Kai Ming Wang","doi":"10.1177/00033197241310571","DOIUrl":"https://doi.org/10.1177/00033197241310571","url":null,"abstract":"<p><p>While multiple scoring systems exist to predict mortality in cardiac surgery, their utility in infective endocarditis (IE) remains uncertain, prompting this study to compare their prognostic accuracy. We conducted a comprehensive review using Ovid Medline, Embase, and Cochrane Central Register of Controlled Trials. Data were pooled using Open-Meta[Analyst] software, and calibration analysis was performed with Review Manager 5.4. Among 620 articles identified, 570 were screened, leading to 15 included studies. Twelve risk scores were analyzed for operative mortality discrimination in IE surgery, with the area under the curve (AUC) ranging from 0.64 to 0.83. Among the IE-specific risk scores, AUCs (95% confidence interval) were highest for ANCLA (Anemia, NYHA class IV, critical state, large intracardiac destruction, surgery on thoracic aorta) 0.838 (0.803-0.873), AEPEI (Association pour l'Etude et la Prevention de l'Endocadite Infectieuse) 0.764 (0.726-0.802), RISK-E (Risk Endocarditis) (0.752 (0.662-0.842) and APORTEI (Análisis de los factores PROnósticos en el Tratamiento quirúrgico de la Endocarditis Infecciosa) 0.750 (0.726-0.774) scores. Regarding traditional risk scores, EuroSCORE II performed at 0.750 (0.725-0.775) but underestimated mortality compared with EuroSCORE I in calibration analysis. In conclusion, EuroSCORE II and several endocarditis-specific scores had moderate discrimination (AUC > 0.75) in predicting mortality after IE surgery.</p>","PeriodicalId":8264,"journal":{"name":"Angiology","volume":" ","pages":"33197241310571"},"PeriodicalIF":2.6,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142998917","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}
AngiologyPub Date : 2025-01-01Epub Date: 2023-11-23DOI: 10.1177/00033197231218622
Theofanis T Papas
{"title":"Patient Selection Is Essential for Explantation of Infected Abdominal Aortic Endografts.","authors":"Theofanis T Papas","doi":"10.1177/00033197231218622","DOIUrl":"10.1177/00033197231218622","url":null,"abstract":"","PeriodicalId":8264,"journal":{"name":"Angiology","volume":" ","pages":"94"},"PeriodicalIF":2.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138294545","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}
AngiologyPub Date : 2025-01-01Epub Date: 2023-11-07DOI: 10.1177/00033197231213192
Jiaxin Zhang, Maoning Shi, Jing Wang, Fei Li, Chenxu Du, Gang Su, Xiaodong Xie, Shiweng Li
{"title":"Novel Strategies for Angiogenesis in Tissue Injury: Therapeutic Effects of iPSCs-Derived Exosomes.","authors":"Jiaxin Zhang, Maoning Shi, Jing Wang, Fei Li, Chenxu Du, Gang Su, Xiaodong Xie, Shiweng Li","doi":"10.1177/00033197231213192","DOIUrl":"10.1177/00033197231213192","url":null,"abstract":"<p><p>Regeneration after tissue injury is a dynamic and complex process, and angiogenesis is necessary for normal physiological activities and tissue repair. Induced pluripotent stem cells are a new approach in regenerative medicine, which provides good model for the study of difficult-to-obtain human tissues, patient-specific therapy, and tissue repair. As an innovative cell-free therapeutic strategy, the main advantages of the treatment of induced pluripotent stem cells (iPSCs)-derived exosomes are low in tumorigenicity and immunogenicity, which become an important pathway for tissue injury. This review focuses on the mechanism of the angiogenic effect of iPSCs-derived exosomes on wound repair in tissue injury and their potential therapeutic targets, with a view to providing a theoretical basis for the use of iPSCs-derived exosomes in clinical therapy.</p>","PeriodicalId":8264,"journal":{"name":"Angiology","volume":" ","pages":"5-16"},"PeriodicalIF":2.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71477383","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":"Clinical Outcomes of Patients With Cholesterol Crystal Embolism Accompanied by Lower Extremity Wound.","authors":"Yosuke Hata, Osamu Iida, Shin Okamoto, Takayuki Ishihara, Kiyonori Nanto, Takuya Tsujimura, Naoko Higashino, Taku Toyoshima, Sho Nakao, Masashi Fukunaga, Daizo Kawasaki, Masahiko Fujihara, Mitsuyoshi Takahara, Toshiaki Mano","doi":"10.1177/00033197231195671","DOIUrl":"10.1177/00033197231195671","url":null,"abstract":"<p><p>Cholesterol crystal embolism (CCE) accompanied by a lower extremity wound is occasionally difficult to differentiate from chronic limb-threatening ischemia (CLTI) and treat. The present multi-center retrospective observational study investigated the clinical characteristics and prognosis of CCE with lower extremity wounds. Consecutive patients (n = 58) clinically diagnosed as CCE with lower extremity wounds between April 2010 and December 2019 were studied. CCE was diagnosed using histological findings, foot condition, renal impairment, and eosinophilia. The primary outcome was 1-year wound healing rate. Patients with CCE were compared with 1309 patients diagnosed with CLTI with tissue loss during the same study period. The CCE group had a significantly more severe Wound, Ischemia, and foot Infection (WIfI) classification compared with the CLTI group. After Kaplan-Meier analysis, the CCE group had a similar 1-year wound healing (55.1 vs 58.3%, <i>P</i> = .096) as the CLTI group. In multivariate stratified Cox regression analysis by WIfI stages, CCE was significantly associated with poor wound healing compared with CLTI [hazard ratio .36 (95% confidence interval .21-.62)]. In conclusion, among the similar WIfI clinical stages, wound healing was significantly worse in the CCE group than in the CLTI group.</p>","PeriodicalId":8264,"journal":{"name":"Angiology","volume":" ","pages":"32-39"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10435102","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}