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Rokicka D, Hudzik B, Wróbel M, Stołtny T, Stołtny D, Nowowiejska-Wiewióra A, Rokicka S, Gąsior M, Strojek K. Prognostic value of novel atherogenic indices in patients with acute myocardial infarction with and without type 2 diabetes. J Diabetes Complications 2024; 38:108850. [PMID: 39191064 DOI: 10.1016/j.jdiacomp.2024.108850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 05/28/2024] [Accepted: 08/22/2024] [Indexed: 08/29/2024]
Abstract
AIMS Atherogenic indices: Triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, Atherogenic Index of Plasma (AIP), Atherogenic Coefficient (AC), Castelli's Risk Index I and II (CRI-I, CRI-II) are used in clinical studies as surrogates of major adverse cardiac and cerebrovascular events (MACCE). Risk prediction of MACCE in patients with acute myocardial infarction (AMI) has vital role in clinical practice. We aimed to assess prognostic value of these indices following AMI. METHODS We analyzed patients with AMI with and without T2DM and the prognostic values of atherogenic indices for in-hospital death and MACCE within 12 months after AMI. RESULTS Of 2461 patients, 152 in-hospital deaths (6.2 %) were reported (74 patients [7.4 %] with T2DM and 78 [5.3 %] without T2DM; p = 0.042). MACCE occurred in 22.7 % of patients (29.7 % with T2DM and 17.9 % without T2DM; p < 0.001). TG/HDL-C and AIP were higher in T2DM patients compared to those without T2DM (p < 0.001). Long-term MACCE was more prevalent in patients with T2DM (p < 0.001). The AUC-ROC for predicting in-hospital death based on TG/HDL-C and AIP was 0.57 (p = 0.002). CONCLUSIONS None of the atherogenic indices was an independent risk factor for in-hospital death or MACCE at 12-month follow-up in patients with AMI. AIP was an independent risk factor for death at 12-month follow-up.
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Affiliation(s)
- Dominika Rokicka
- Department of Internal Medicine, Diabetology and Cardiometabolic Disorders, Faculty of Medical Sciences Zabrze, Medical University of Silesia, Katowice, ul. M. Curie-Skłodowskiej 9, 41-800 Zabrze, Poland.
| | - Bartosz Hudzik
- Third Department of Cardiology, Faculty of Medical Sciences Zabrze, Medical University of Silesia, Katowice, ul. M. Curie-Skłodowskiej 9, 41-800 Zabrze, Poland; Department of Cardiovascular Disease Prevention in Bytom, Medical University of Silesia, Katowice, Poland
| | - Marta Wróbel
- Department of Internal Medicine, Diabetology and Cardiometabolic Disorders, Faculty of Medical Sciences Zabrze, Medical University of Silesia, Katowice, ul. M. Curie-Skłodowskiej 9, 41-800 Zabrze, Poland
| | - Tomasz Stołtny
- District Hospital of Orthopaedics and Trauma Surgery Piekary Śląskie, ul. Bytomska 62, 41-940 Piekary Śląskie, Poland
| | - Dorota Stołtny
- Department of Internal Medicine, Diabetology and Cardiometabolic Disorders, Faculty of Medical Sciences Zabrze, Medical University of Silesia, Katowice, ul. M. Curie-Skłodowskiej 9, 41-800 Zabrze, Poland
| | - Alicja Nowowiejska-Wiewióra
- Third Department of Cardiology, Faculty of Medical Sciences Zabrze, Medical University of Silesia, Katowice, ul. M. Curie-Skłodowskiej 9, 41-800 Zabrze, Poland
| | - Sonia Rokicka
- Medical University of Gdańsk, ul. Marii Skłodowskiej-Curie 3a, 80-210 Gdańsk, Poland
| | - Mariusz Gąsior
- Third Department of Cardiology, Faculty of Medical Sciences Zabrze, Medical University of Silesia, Katowice, ul. M. Curie-Skłodowskiej 9, 41-800 Zabrze, Poland
| | - Krzysztof Strojek
- Department of Internal Medicine, Diabetology and Cardiometabolic Disorders, Faculty of Medical Sciences Zabrze, Medical University of Silesia, Katowice, ul. M. Curie-Skłodowskiej 9, 41-800 Zabrze, Poland
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Felix B, Aldoohan F, Kadirage HU, Keelathara Sajeev S, Kayani M, Hag Saeed MAI, Vempatapu S, Nasim K, Pendem H, Armenta AP, Nazir Z. Assessment of the Impact of Comorbidities on Outcomes in Non-ST Elevation Myocardial Infarction (NSTEMI) Patients: A Narrative Review. Cureus 2024; 16:e65568. [PMID: 39192929 PMCID: PMC11348641 DOI: 10.7759/cureus.65568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/26/2024] [Indexed: 08/29/2024] Open
Abstract
Non-ST-segment elevation myocardial infarction (NSTEMI) is associated with significant morbidity and mortality, occurring when the heart's need for oxygen cannot be met. It is defined by elevated cardiac biomarkers without ST-segment elevation and often carries a poorer prognosis than most ST-segment elevation events. NSTEMI usually results from severe coronary artery narrowing, transient occlusion, or microembolization of thrombus/atheromatous material. Patients with NSTEMI often have multiple comorbidities, which can worsen their prognosis and complicate treatment. This study aims to investigate the impact of comorbidities such as hypertension (HTN), diabetes mellitus (DM), chronic obstructive pulmonary disease (COPD), obesity, dyslipidemia, and smoking on patients with NSTEMI. The prevalence of each comorbidity is examined individually within the NSTEMI population to provide a clearer picture of how frequently these conditions co-occur with NSTEMI and how they affect the established NSTEMI treatment protocols. This paper sheds light on the interaction between NSTEMI and commonly associated comorbidities through a comprehensive literature review and data analysis. This is critical for optimizing clinical decision-making and enhancing patient care, ultimately improving outcomes in this high-risk patient population.
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Affiliation(s)
- Bryan Felix
- Medical Student, Avalon University School of Medicine, Los Angeles, USA
| | - Fawaz Aldoohan
- Internal Medicine, American Academy of Research and Academics, Delaware, USA
| | | | | | - Maryam Kayani
- Cardiology, Shifa College of Medicine, Shifa Tameer-e-Millat University, Islamabad, PAK
| | | | - Sruthi Vempatapu
- Internal Medicine, Nandamuri Taraka Rama Rao (NTR) University of Health Sciences, Hyderabad, IND
| | - Khadija Nasim
- Medicine, Jinnah Sindh Medical University, Karachi, PAK
| | - Harini Pendem
- Internal Medicine, Chalmeda Anand Rao Institute of Medical Sciences, Karimnagar, IND
| | - Annia P Armenta
- Internal Medicine, Universidad Autónoma de Guadalajara, Guadalajara, MEX
| | - Zahra Nazir
- Internal Medicine, Combined Military Hospital (CMH), Quetta, PAK
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Beckmann C, Foster-Witassek F, Brutsche M, Maeder MT, Eberli F, Roffi M, Pedrazzini G, Radovanovic D, Rickli H. Treatment and outcomes of patients with chronic lung disease and acute myocardial infarction: Insights from the nationwide AMIS plus registry. Eur J Clin Invest 2024; 54:e14193. [PMID: 38481088 DOI: 10.1111/eci.14193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 02/25/2024] [Accepted: 02/25/2024] [Indexed: 05/15/2024]
Abstract
BACKGROUND Limited data are available on patients with chronic lung disease (CLD) presenting with acute myocardial infarction (AMI). We aimed to analyse baseline characteristics, treatment and outcome of those patients enrolled in the Swiss nationwide prospective AMIS Plus registry. METHODS All AMI patients enrolled between January 2002 and December 2021 with data on CLD, as defined in the Charlson Comorbidity Index, were included. The primary endpoints were in-hospital mortality and major adverse cardiac and cerebrovascular events (MACCE), defined as all-cause death, reinfarction and cerebrovascular events. Baseline characteristics, in-hospital treatments and outcomes were analysed using descriptive statistics and logistic regression. RESULTS Among 53,680 AMI patients enrolled during this time, 5.8% had CLD. Compared with patients without CLD, CLD patients presented more frequently with non-ST-elevation myocardial infarction (MI) and type 2 MI (12.8% vs. 6.5%, p < 0.001). With respect to treatment, CLD patients were less likely to receive P2Y12 inhibitors (p < 0.001) and less likely to undergo percutaneous coronary interventions (68.7% vs. 82.5%; p < 0.001). In-hospital mortality declined in AMI patients with CLD over time (from 12% in 2002 to 7.3% in 2021). Multivariable regression analysis showed that CLD was an independent predictor for MACCE (adjusted OR was 1.28 [95% CI 1.07-1.52], p = 0.006). CONCLUSION Patients with CLD and AMI were less likely to receive evidence-based pharmacologic treatments, coronary revascularization and had a higher incidence of MACCE during their hospital stay compared to those without CLD. Over 20 years, in-hospital mortality was significantly reduced in AMI patients, especially in those with CLD.
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Affiliation(s)
- C Beckmann
- AMIS Plus Data Center, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - F Foster-Witassek
- AMIS Plus Data Center, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - M Brutsche
- Lung Center, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - M T Maeder
- Department of Cardiology, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - F Eberli
- Division of Cardiology, Triemli Hospital, Zurich, Switzerland
| | - M Roffi
- Division of Cardiology, Geneva University Hospitals, Geneva, Switzerland
| | - G Pedrazzini
- Department of Cardiology, Cardiocentro Ticino, Lugano, Switzerland
| | - D Radovanovic
- AMIS Plus Data Center, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - H Rickli
- Department of Cardiology, Kantonsspital St. Gallen, St. Gallen, Switzerland
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Rokicka D, Hudzik B, Wróbel M, Stołtny T, Stołtny D, Nowowiejska-Wiewióra A, Rokicka S, Gąsior M, Strojek K. The prognostic impact of insulin resistance surrogates in patients with acute myocardial infarction with and without type 2 diabetes. Cardiovasc Diabetol 2024; 23:147. [PMID: 38685054 PMCID: PMC11059609 DOI: 10.1186/s12933-024-02240-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 04/19/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND Cardiovascular disease is the major cause of morbidity and mortality, particularly in type 2 diabetes mellitus (T2DM). Novel markers of insulin resistance and progression of atherosclerosis include the triglycerides and glucose index (TyG index), the triglycerides and body mass index (Tyg-BMI) and the metabolic score for insulin resistance (METS-IR). Establishing independent risk factors for in-hospital death and major adverse cardiac and cerebrovascular events (MACCE) in patients with myocardial infarction (MI) remains critical. The aim of the study was to assess the risk of in-hospital death and MACCE within 12 months after ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI) in patients with and without T2DM based on TyG index, Tyg-BMI and METS-IR. METHODS Retrospective analysis included 1706 patients with STEMI and NSTEMI hospitalized between 2013 and 2021. We analyzed prognostic value of TyG index, Tyg-BMI and METS-IR for in-hospital death and MACCE as its components (death from any cause, MI, stroke, revascularization) within 12 months after STEMI or NSTEMI in patients with and without T2DM. RESULTS Of 1706 patients, 58 in-hospital deaths were reported (29 patients [4.3%] in the group with T2DM and 29 patients [2.8%] in the group without T2DM; p = 0.1). MACCE occurred in 18.9% of the total study population (25.8% in the group with T2DM and 14.4% in the group without T2DM; p < 0.001). TyG index, Tyg-BMI and METS-IR were significantly higher in the group of patients with T2DM compared to those without T2DM (p < 0.001). Long-term MACCE were more prevalent in patients with T2DM (p < 0.001). The area under the ROC curve (AUC-ROC) for the prediction of in-hospital death and the TyG index was 0.69 (p < 0.001). The ROC curve for predicting in-hospital death based on METS-IR was 0.682 (p < 0.001). The AUC-ROC values for MACCE prediction based on the TyG index and METS-IR were 0.582 (p < 0.001) and 0.57 (p < 0.001), respectively. CONCLUSIONS TyG index was an independent risk factor for in-hospital death in patients with STEMI or NSTEMI. TyG index, TyG-BMI and METS-IR were not independent risk factors for MACCE at 12 month follow-up. TyG index and METS-IR have low predictive value in predicting MACCE within 12 months after STEMI and NSTEMI.
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Affiliation(s)
- Dominika Rokicka
- Department of Internal Medicine, Diabetology and Cardiometabolic Disorders, Faculty of Medical Sciences Zabrze , Medical University of Silesia, Katowice, ul. M. Curie-Skłodowskiej 9, 41-800, Zabrze, Poland.
| | - Bartosz Hudzik
- Third Department of Cardiology Faculty of Medical Sciences Zabrze, Medical University of Silesia, Katowice, ul. M. Curie-Skłodowskiej 9, 41-800, Zabrze, Poland
- Department of Cardiovascular Disease Prevention in Bytom, Medical University of Silesia, Katowice, Poland
| | - Marta Wróbel
- Department of Internal Medicine, Diabetology and Cardiometabolic Disorders, Faculty of Medical Sciences Zabrze , Medical University of Silesia, Katowice, ul. M. Curie-Skłodowskiej 9, 41-800, Zabrze, Poland
| | - Tomasz Stołtny
- District Hospital of Orthopaedics and Trauma Surgery Piekary Śląskie, ul. Bytomska 62, 41-940, Piekary Śląskie, Poland
| | - Dorota Stołtny
- Department of Internal Medicine, Diabetology and Cardiometabolic Disorders, Faculty of Medical Sciences Zabrze , Medical University of Silesia, Katowice, ul. M. Curie-Skłodowskiej 9, 41-800, Zabrze, Poland
| | - Alicja Nowowiejska-Wiewióra
- Third Department of Cardiology Faculty of Medical Sciences Zabrze, Medical University of Silesia, Katowice, ul. M. Curie-Skłodowskiej 9, 41-800, Zabrze, Poland
| | - Sonia Rokicka
- Medical University of Gdańsk, ul. Marii Skłodowskiej-Curie 3a, 80-210, Gdańsk, Poland
| | - Mariusz Gąsior
- Third Department of Cardiology Faculty of Medical Sciences Zabrze, Medical University of Silesia, Katowice, ul. M. Curie-Skłodowskiej 9, 41-800, Zabrze, Poland
| | - Krzysztof Strojek
- Department of Internal Medicine, Diabetology and Cardiometabolic Disorders, Faculty of Medical Sciences Zabrze , Medical University of Silesia, Katowice, ul. M. Curie-Skłodowskiej 9, 41-800, Zabrze, Poland
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Louis M, Vassy M, Gherasim C, Singh H. Managing Mesenteric-Side Small Bowel Perforation in the Setting of Non-ST Elevation Myocardial Infarction: A Dual Challenge. Cureus 2023; 15:e49226. [PMID: 38143633 PMCID: PMC10739299 DOI: 10.7759/cureus.49226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 11/22/2023] [Indexed: 12/26/2023] Open
Abstract
Small bowel perforations are critical surgical emergencies, and those occurring on the mesenteric side are particularly uncommon. These perforations can lead to significant morbidity due to potential vascular compromise and the rapid spread of intraluminal contents. When a patient concurrently presents with a non-ST elevation myocardial infarction (NSTEMI), the clinical management becomes even more intricate. Balancing the urgency of surgical intervention for bowel perforation with the potential cardiac risks associated with surgery, especially in the context of a concurrent NSTEMI, poses a significant clinical challenge. An 86-year-old male with an extensive cardiac history presented with a complaint of abdominal pain, primarily localized to the left lower quadrant. Diagnostic investigations, including a contrast-enhanced computerized tomography (CT) scan, identified extraluminal air and pronounced inflammation adjacent to a loop of small bowel, consistent with perforation. Simultaneously, elevated troponin levels and specific electrocardiogram (ECG) changes confirmed an NSTEMI diagnosis. Following a multidisciplinary discussion, the patient underwent exploratory laparotomy, resulting in small bowel resection. Postoperative cardiac monitoring managed a brief episode of supraventricular tachycardia effectively. This case highlights the intricacies involved in managing a patient with a rare mesenteric-side small bowel perforation while also dealing with an NSTEMI. While the causes of spontaneous small bowel perforations can vary, this case presented an added layer of complexity without a clear predisposing factor. The presence of NSTEMI introduced challenges in determining the timing and approach to surgical intervention. The necessity for collaboration between surgical and cardiology teams was evident, ensuring a comprehensive assessment of the patient's cardiac risk and optimizing cardiac medications. Managing a patient with concurrent small bowel perforation and NSTEMI demands meticulous clinical judgment and inter-specialty collaboration. This case offers valuable insights into the considerations and challenges faced in such unique clinical scenarios, emphasizing the importance of individualized patient care.
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Affiliation(s)
- Mena Louis
- General Surgery, Northeast Georgia Medical Center Gainsville, Gainesville, USA
| | - Matthew Vassy
- Trauma and Acute Care Surgery, Northeast Georgia Medical Center Gainsville, Gainesville, USA
| | - Claudia Gherasim
- Pathology, Northeast Georgia Medical Center Gainsville, Gainsville, USA
| | - Hardeep Singh
- Research, Northeast Georgia Medical Center Gainsville, Gainsville, USA
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Zamani B, Golabchi A, Ghadakkar N, Motedayyen H. C-reactive protein and uric acid roles in distinguishing ST-segment elevation myocardial infarction from non-ST-elevation acute coronary syndrome. J Immunoassay Immunochem 2023; 44:66-75. [PMID: 36073558 DOI: 10.1080/15321819.2022.2119866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Acute coronary syndrome (ACS) is defined as a range of conditions which the blood flow to the heart was reduced or stopped. This disorder is correlated to a systemic inflammatory response and some biochemical factors. Therefore, the aim of this study was investigations of serum C-reactive protein (CRP) and uric acid levels in ST-segment elevation myocardial infarction (STEMI) and non-ST-elevation ACS (NSTE ACS), as common subtypes of ACS. Patients with ACS (n = 140) were assessed with coronary arteriography and divided into STEMI and NSTE ACS groups. The serum levels of hs-CRP and uric acid were investigated using a routine clinical chemistry analyzer. Patients with STEMI showed a significant increase in uric acid level compared to those with NSTE ACS (P < .0001). Other data indicated that hs-CRP level in patients with STEMI was significantly higher than individuals with NSTE ACS (P < .0001). Modeling analysis revealed that the increased levels of acid uric and hs-CRP in patients with STEMI were independent of the effects of age, gender, background diseases, and familial history (P < .001). The current study provides further evidence to indicate that hs-CRP and uric acid may be considered as biofactors for comparing STEMI from NSTE ACS and determining disease outcome.
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Affiliation(s)
- Batool Zamani
- Autoimmune Diseases Research Center, Kashan University of Medical Sciences, Kashan, Iran
| | - Allahyar Golabchi
- The Advocate Center for Clinical Research, Ayatollah Yasrebi Hospital, Kashan, Iran
| | - Nasrin Ghadakkar
- Autoimmune Diseases Research Center, Kashan University of Medical Sciences, Kashan, Iran
| | - Hossein Motedayyen
- Autoimmune Diseases Research Center, Kashan University of Medical Sciences, Kashan, Iran
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Dai G, Wang J, Gao F, Liu W, Li P, Wei B, Yang J. The Predictive Value of Barthel Score, Sequential Organ Failure Assessment Score, and D-Dimer in the 28-Day Prognosis of Patients with Non-ST Elevation Myocardial Infarction: A Retrospective Study of 358 Patients. Int J Gen Med 2022; 15:7241-7248. [PMID: 36124103 PMCID: PMC9482411 DOI: 10.2147/ijgm.s379628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 09/07/2022] [Indexed: 11/23/2022] Open
Abstract
Purpose To investigate the nursing prediction value of Barthel score, sequential organ failure assessment (SOFA) score and D-dimer on non-ST-elevation myocardial infarction (NSTEMI) inpatients. Methods The clinical data of 358 NSTEMI patients admitted to the emergency department were analyzed using logistic regression equation and a ROC curve was drawn. The area under ROC curve (AUC) of different indicators was compared. A COX regression model was created, and a survival curve was drawn. Results There were significant differences in age, D-dimer, WBC, NT-proBNP, EF (%), BI score, MEWS score, and SOFA score between the 28-day death group and the survival group (P < 0.05). The results showed that D-dimer (P = 0.002), SOFA score (P = 0.017), BI score (P < 0.001), and chest pain symptoms (P < 0.001) were independent predictors of 28-day death. When chest pain symptoms (AUC = 0.585), D-dimer (AUC = 0.945, Z = 8.00, P < 0.01), BI score (AUC = 0.145, Z = 5.36, P < 0.01), and SOFA score (AUC = 0.847, Z = 4.93, P < 0.01) were compared, the results showed that BI score (HR = 0.961, P < 0.01) and SOFA score (HR = 1.316, P < 0.001) had statistical significance on the 28-day survival time of the dead patients. Conclusion The Barthel score, SOFA score, and D-dimer are all essential in predicting the severity of NSTEMI patients, with a high nursing evaluation value. The Barthel and SOFA scores are associated with the risk of death within 28 days.
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Affiliation(s)
- GuiYing Dai
- Emergency Medicine Clinical Research Center, Beijing Chao-Yang Hospital, Capital Medical University, & Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing, People’s Republic of China
| | - JunYu Wang
- Emergency Medicine Clinical Research Center, Beijing Chao-Yang Hospital, Capital Medical University, & Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing, People’s Republic of China
| | - FengLi Gao
- Nursing Department, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - WenHong Liu
- Emergency Medicine Clinical Research Center, Beijing Chao-Yang Hospital, Capital Medical University, & Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing, People’s Republic of China
| | - Ping Li
- Emergency Medicine Clinical Research Center, Beijing Chao-Yang Hospital, Capital Medical University, & Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing, People’s Republic of China
| | - Bing Wei
- Emergency Medicine Clinical Research Center, Beijing Chao-Yang Hospital, Capital Medical University, & Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing, People’s Republic of China
| | - Jun Yang
- Emergency Medicine Clinical Research Center, Beijing Chao-Yang Hospital, Capital Medical University, & Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing, People’s Republic of China
- Correspondence: Jun Yang, Emergency Medicine Clinical Research Center, Beijing Chao-Yang Hospital, Capital Medical University, & Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing, People’s Republic of China, Tel +86-13581846750, Fax +86-51718170, Email
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Cui Y, Wang H, Peng P, Zhang F, Liu Q, Zhao G. Intelligent Algorithm-Based Coronary Angiography Characteristics of Acute Non-ST-Segment Elevation Myocardial Infarction Patients with Different Genders. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:6447472. [PMID: 35178116 PMCID: PMC8843781 DOI: 10.1155/2022/6447472] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 01/17/2022] [Accepted: 01/20/2022] [Indexed: 11/17/2022]
Abstract
OBJECTIVE This study was aimed at comparing the characteristics of coronary angiography based on intelligent algorithm in patients with acute non-ST-segment elevation myocardial infarction (NSTEMI) of different genders. METHODS Eighty patients were selected to segment the coronary angiogram using the convolutional neural network (CNN) algorithm, the input layer of the CNN was used to receive the image dataset, and three-dimensional data were input during semantic segmentation to achieve automatic segmentation of the target features. Segmentation results were quantitatively assessed by accuracy (Acc), sensitivity (Se), specificity (Sp), and Dice coefficient (Dice). The characteristics of coronary angiography were compared between the two groups. RESULTS The CNN algorithm had good segmentation effect, complete vessel extraction, and little noise, and Acc, Se, Sp, and Dice were 90.32%, 93.39%, 91.25%, and 89.75%, respectively. The proportion of diabetes mellitus was higher in female patients with NSTEMI (68.8%) than that in male patients (46.3%); the proportion of the left main coronary artery (LM) and left anterior descending artery (LAD) was lower in the female group (7.5%, 41.3%) than that in the male group (13.8%, 81.3%), and the difference between the two groups was statistically significant (P < 0.05). CONCLUSION The CNN algorithm achieves accurate extraction of vessels from coronary angiographic images, and women with diabetes and hyperlipidemia are more likely to have NSTEMI than men, especially the elderly.
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Affiliation(s)
- Yulong Cui
- Department of Cardiology, The First Affiliated Hospital of Jiamusi University, Jiamusi, 154007 Heilongjiang, China
| | - Hui Wang
- Department of Cardiology, The First Affiliated Hospital of Jiamusi University, Jiamusi, 154007 Heilongjiang, China
| | - Peng Peng
- Department of Cardiology, The First Affiliated Hospital of Jiamusi University, Jiamusi, 154007 Heilongjiang, China
| | - Feng Zhang
- Department of Cardiology, The First Affiliated Hospital of Jiamusi University, Jiamusi, 154007 Heilongjiang, China
| | - Qing Liu
- Department of Cardiology, The First Affiliated Hospital of Jiamusi University, Jiamusi, 154007 Heilongjiang, China
| | - Guangyang Zhao
- Department of Cardiology, The First Affiliated Hospital of Jiamusi University, Jiamusi, 154007 Heilongjiang, China
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9
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Cao G, Zhao Z, Xu Z. Distribution Characteristics of ST-Segment Elevation Myocardial Infarction and Non-ST-Segment Elevation Myocardial Infarction Culprit Lesion in Acute Myocardial Infarction Patients Based on Coronary Angiography Diagnosis. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:2420586. [PMID: 35154358 PMCID: PMC8828330 DOI: 10.1155/2022/2420586] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 12/10/2021] [Accepted: 01/07/2022] [Indexed: 12/18/2022]
Abstract
This research was aimed at exploring the application value of coronary angiography (CAG) based on a convolutional neural network algorithm in analyzing the distribution characteristics of ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI) culprit lesions in acute myocardial infarction (AMI) patients. Methods. Patients with AMI treated in hospital from June 2019 to December 2020 were selected as subjects. According to the results of an echocardiogram, the patients were divided into the STEMI group (44 cases) and the NSTEMI group (36 cases). All patients received CAG. All images were denoised and edge detected by a convolutional neural network algorithm. Then, the number of diseased vessels, the location of diseased vessels, and the degree of stenosis of diseased vessels in the two groups were compared and analyzed. Results. The number of patients with complete occlusion (3 cases vs. 12 cases) and collateral circulation (5 cases vs. 20 cases) in the NSTEMI group was significantly higher than that in the STEMI group, and the difference was statistically significant, P < 0.05. There was a statistically significant difference in the number of lesions between the distal LAD (1 case vs. 10 cases) and the distal LCX (4 cases vs. 11 cases), P < 0.05. There was a statistically significant difference in the number of patients with one lesion branch (1 vs. 18) and three lesion branches (25 vs. 12) between the two groups, P < 0.05. The image quality after the convolution neural network algorithm is significantly improved, and the lesion is more prominent. Conclusion. The convolutional neural network algorithm has good performance in DSA image processing of AMI patients. STEMI and NSTEMI as the starting point of AMI disease analysis to determine the treatment plan have high clinical application value. This work provided reference and basis for the application of the convolutional neural network algorithm and CAG in the analysis of the distribution characteristics of STEMI and NSTEMI culprit lesions in AMI patients.
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Affiliation(s)
- Guanglin Cao
- Department of Cardiovascular Disease, Cangzhou Central Hospital of Tianjin Medical University, Tianjin 300000, China
| | - Zheng Zhao
- Department of Cardiovascular Disease, First Central Clinical College of Tianjin Medical University, Tianjin 300000, China
- Department of Cardiology, Tianjin First Central Hospital, Tianjin 300000, China
| | - Zesheng Xu
- Department of Cardiovascular Disease, Cangzhou Central Hospital of Tianjin Medical University, Tianjin 300000, China
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