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Cheng X, Liu M, Wang Q, Xu Y, Liu R, Li X, Jiang H, Jiang S. Enhanced predictive performance of the GRACE risk score by incorporating lipoprotein(a) for major adverse cardiac events in acute myocardial infarction patients undergoing PCI. INTERNATIONAL JOURNAL OF CARDIOLOGY. CARDIOVASCULAR RISK AND PREVENTION 2024; 22:200315. [PMID: 39157191 PMCID: PMC11327944 DOI: 10.1016/j.ijcrp.2024.200315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 06/05/2024] [Accepted: 07/25/2024] [Indexed: 08/20/2024]
Abstract
Background As scientific research advances, the landscape of detection indicators and methodologies evolves continuously. Our current study aimed to identify some novel perioperative indicators that can enhance the predictive accuracy of the Global Registry of Acute Coronary Events (GRACE) score for the in-hospital major adverse cardiovascular events (MACEs) in patients with acute myocardial infarction. Methods A total of 647 adult patients with AMI admitted to the emergency department were consecutively enrolled in the retrospective research starting from June 2016 to September 2019. The endpoint was in-hospital MACE. Stepwise regression analysis and multivariate logistic regression were performed to select the indicators for the union model established by nomogram. Bootstrap with 1000 replicates was chosen as the internal validation of the union model. The area under the receiver operating curve (AUC) and calibration plot were used to evaluate the discrimination and calibration. Decision curve analysis (DCA) was performed to evaluate the clinical sufficiency of the nomogram. Akaike's information criterion (AIC) and Bayesian Information Criterion (BIC) were used to evaluate the goodness of fit. Results Lipoprotein(a) combined with serum uric acid, fasting blood glucose, and hemoglobin could improve the GRACE risk score. The AUC of the union model was 0.86, which indicated a better discriminative ability than the GRACE risk score alone (AUC, 0.81; P < 0.05). The calibration plots of the union model showed favorable consistency between the prediction of the model and actual observations, which was better than the GRACE risk score. DCA plots suggested that the union model had better clinical applicability than the GRACE risk score. Conclusion Lipoprotein(a) has shown promise in augmenting the predictive capability of the GRACE risk score, however, it may be beneficial to integrate it with other commonly used indicators.
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Affiliation(s)
- Xuelin Cheng
- Department of Health Management Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Department of General Practice, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Ming Liu
- Department of Health Management Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Innovative Center for New Drug Development of Immune Inflammatory Diseases, Ministry of Education, Fudan University, Shanghai, 201203, China
- Shanghai Engineering Research Center of AI Technology for Cardiopulmonary Diseases, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Qizhe Wang
- Department of Health Management Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Department of General Practice, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Yaxin Xu
- Department of Health Management Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Department of General Practice, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Ru Liu
- Department of Health Management Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Department of General Practice, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Xiaopan Li
- Department of Health Management Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Hong Jiang
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- National Clinical Research Center for Interventional Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Innovative Center for New Drug Development of Immune Inflammatory Diseases, Ministry of Education, Fudan University, Shanghai, 201203, China
- Shanghai Engineering Research Center of AI Technology for Cardiopulmonary Diseases, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Sunfang Jiang
- Department of Health Management Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Department of General Practice, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
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Wang S, Zhang Y, Qi D, Wang X, Zhu Z, Yang W, Li M, Hu D, Gao C. Age and gender mediated the association between anemia and 30-day outcomes in patients with ST-segment elevated myocardial infarction. IJC HEART & VASCULATURE 2024; 51:101377. [PMID: 38464962 PMCID: PMC10920728 DOI: 10.1016/j.ijcha.2024.101377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 02/09/2024] [Accepted: 02/25/2024] [Indexed: 03/12/2024]
Abstract
Background The higher prevalence of anemia in females and elderly may be attributed to its association with worsened outcomes in ST-elevation myocardial infarction (STEMI) patients. We aimed to evaluate the precise effects of age and gender on the association between anemia and 30-day outcomes. Method We identified 4350 STEMI patients and divided into anemia and non-anemia. Effects were analyzed as categories using Cox proportional-hazards regression and as continuous using restricted cubic splines. Propensity score matching (PSM) and mediation analysis were applied to identify intermediate effects. Results Anemic patients were older, more likely to be female, and experienced doubled all-cause death (7.3 % versus 15.0 %), main adverse cardiovascular and cerebrovascular events (MACCE, 11.1 % versus 20.2 %), heart failure (HF, 5.1 % versus 8.6 %), and bleeding events (2.7 % versus 5.4 %). After adjustment, the association between anemia and all-cause death (Hazard ratio (HR) 1.15, 95 % confidence interval (95 %CI) 0.93-1.14), MACCE (HR 1.14, 95 %CI 0.95-1.36) and HF (HR 1.19, 95 %CI 0.92-1.55) were insignificant, the effects persisted nullified across age classes (P-interaction > 0.05) and PSM (P > 0.05). Ulteriorly, age mediated 77.6 %, 66.2 %, 48.0 %, gender mediated 38.1 %, 15.0 %, 3.2 %, age and gender together mediated 99.8 % 72.9 %, 48.1 % of the relationship. Anemia was independently associated with bleeding events (HR 2.02, 95 %CI 1.42-2.88), the effects consisted significant regardless of PSM (P < 0.05), age, and gender classes (P-interaction > 0.05), and no mediating role of age and gender were observed. Conclusions In STEMI patients, age and gender largely mediated the relationship between anemia and all-cause death, MACCE, and HF, anemia was independently associated with bleeding complications.
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Affiliation(s)
- Shan Wang
- Department of Cardiology, Central China Fuwai Hospital of Zhengzhou University, Henan Provincial People's Hospital Heart Center, Zhengzhou, Henan, China
- Henan Institute of Cardiovascular Epidemiology, Zhengzhou, Henan, China
- Henan Key Lab for Prevention and Control of Coronary Heart Disease, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - You Zhang
- Department of Cardiology, Central China Fuwai Hospital of Zhengzhou University, Henan Provincial People's Hospital Heart Center, Zhengzhou, Henan, China
- Henan Institute of Cardiovascular Epidemiology, Zhengzhou, Henan, China
- Henan Key Lab for Prevention and Control of Coronary Heart Disease, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Datun Qi
- Department of Cardiology, Central China Fuwai Hospital of Zhengzhou University, Henan Provincial People's Hospital Heart Center, Zhengzhou, Henan, China
- Henan Key Lab for Prevention and Control of Coronary Heart Disease, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xianpei Wang
- Department of Cardiology, Central China Fuwai Hospital of Zhengzhou University, Henan Provincial People's Hospital Heart Center, Zhengzhou, Henan, China
- Henan Key Lab for Prevention and Control of Coronary Heart Disease, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Zhongyu Zhu
- Department of Cardiology, Central China Fuwai Hospital of Zhengzhou University, Henan Provincial People's Hospital Heart Center, Zhengzhou, Henan, China
- Henan Key Lab for Prevention and Control of Coronary Heart Disease, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Wei Yang
- Department of Cardiology, Central China Fuwai Hospital of Zhengzhou University, Henan Provincial People's Hospital Heart Center, Zhengzhou, Henan, China
- Henan Key Lab for Prevention and Control of Coronary Heart Disease, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Muwei Li
- Department of Cardiology, Central China Fuwai Hospital of Zhengzhou University, Henan Provincial People's Hospital Heart Center, Zhengzhou, Henan, China
- Henan Key Lab for Prevention and Control of Coronary Heart Disease, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Dayi Hu
- Henan Institute of Cardiovascular Epidemiology, Zhengzhou, Henan, China
- Institute of Cardiovascular Disease, Peking University People's Hospital, Beijing, China
| | - Chuanyu Gao
- Department of Cardiology, Central China Fuwai Hospital of Zhengzhou University, Henan Provincial People's Hospital Heart Center, Zhengzhou, Henan, China
- Henan Institute of Cardiovascular Epidemiology, Zhengzhou, Henan, China
- Henan Key Lab for Prevention and Control of Coronary Heart Disease, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, Henan, China
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Sivkov OG. Factors Associated With Hospital Mortality in Acute Myocardial Infarction. KARDIOLOGIIA 2023; 63:29-35. [PMID: 38088110 DOI: 10.18087/cardio.2023.11.n2406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 02/10/2023] [Indexed: 12/18/2023]
Abstract
Aim To determine clinical and laboratory parameters associated with in-hospital mortality in patients with acute myocardial infarction and to develop a multifactorial prognostic model of in-hospital mortality.Material and methods This was a study based on the 2019-2020 Registry of acute coronary syndrome of the Tyumen Cardiology Research Center, a branch of the Tomsk National Research Medical Center. The study included 477 patients with ST-segment elevation acute myocardial infarction (AMI), 617 patients with non-ST segment elevation AMI, and 26 patients with unspecified AMI. In-hospital mortality was 6.0 % (n=67). Clinical and laboratory parameters were assessed on the day of admission. The separation power of indicators associated with in-hospital mortality was determined using a ROC analysis. The data array of each quantitative parameter was converted into a binary variable according to the obtained cut-off thresholds, followed by creation of a multifactorial model for predicting in-hospital mortality using a stepwise analysis with backward inclusion (Wald). The null hypothesis was rejected at p<0.05.Results The multivariate model for prediction of in-hospital mortality included age (cut-off, 72 years), OR 3.0 (95 % CI: 1.5-5.6); modified shock index (cut-off threshold, 0.87), OR 1.5 (95 % CI: 1.1-2.0); creatine phosphokinase-MB (cut-off threshold, 32.8 U / L), OR 4.1 (95 % CI: 2.2-7.7); hemoglobin (121.5 g / l), OR 1.7 (95 % CI: 1.2-2.3); leukocytes (11.5×109 / l), OR 1.9 (95 % CI: 1.3-2.6); glomerular filtration rate (60.9 ml / min), OR 1.7 (95 % CI: 1.2-2.2); left ventricular ejection fraction (42.5 %), OR 4.1 (95 % CI: 2.0-8.3); and size of myocardial asynergy (32.5 %), OR 2.6 (95 % CI: 1.4-5.0).Conclusions Independent predictors of in-hospital mortality in AMI are age, modified shock index, creatine phosphokinase-MB, peripheral blood leukocyte count, hemoglobin concentration, left ventricular ejection fraction, size of myocardial asynergy, and glomerular filtration rate. The in-hospital mortality model had a high predictive potential: AUC 0.930 (95 % CI: 0.905-0.954; p <0.001) with a cutoff threshold of 0.15; sensitivity 0.851, and specificity 0.850.
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Affiliation(s)
- O G Sivkov
- Surgut State University, Khanty-Mansi Autonomous District
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Sun J, Jin X, Zhang L, Shen H, Yu H. Rosuvastatin plus ticagrelor decreases the risk of major adverse cardiovascular events and elevates cardiac function compared with ticagrelor alone in patients undergoing percutaneous coronary intervention: A meta‑analysis. Exp Ther Med 2023; 26:525. [PMID: 37869634 PMCID: PMC10587883 DOI: 10.3892/etm.2023.12224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 09/13/2023] [Indexed: 10/24/2023] Open
Abstract
Several previous studies have reported that rosuvastatin plus ticagrelor is superior to ticagrelor monotherapy in patients receiving percutaneous coronary intervention (PCI); several others, however, dispute this. The present meta-analysis summarized relevant studies, aiming to comprehensively explore the efficacy of rosuvastatin plus ticagrelor vs. ticagrelor monotherapy in patients receiving PCI. Published studies comparing the efficacy between rosuvastatin plus ticagrelor and ticagrelor alone among patients receiving PCI were searched in the CNKI, Wanfang, CQVIP, EMBASE, Cochrane and PubMed databases until January 2023. The present meta-analysis included 3 cohort studies and 4 randomized controlled trials with 426 patients receiving rosuvastatin plus ticagrelor and 424 patients receiving ticagrelor monotherapy. Rosuvastatin plus ticagrelor decreased the occurrence of major adverse cardiovascular events (MACE) compared with ticagrelor [relative risk (RR), 0.29; 95% confidence interval (CI), 0.18-0.47]. Subgroup analysis revealed similar findings in studies with a follow-up of <6 months (RR, 0.24; 95% CI, 0.13-0.47) and ≥6 months (RR, 0.36; 95% CI, 0.18-0.70), as well as in studies using 10 mg rosuvastatin (RR, 0.27; 95% CI, 0.15-0.50) and 20 mg rosuvastatin (RR, 0.33; 95% CI, 0.16-0.69). In addition, rosuvastatin plus ticagrelor decreased the left ventricular (LV) end-systolic diameter [mean difference (MD), -0.71; 95% CI, -(1.36-0.07)], LV end-diastolic diameter [MD, -1.17; 95% CI, -(1.91-0.43)] and N-terminal pro-B-type natriuretic peptide [MD, -2.97; 95% CI, -(4.55-1.38)], and increased the LV ejection fraction (MD, 0.99; 95% CI, 0.74-1.25). In conclusion, rosuvastatin plus ticagrelor was shown to decrease the risk of MACE and elevate cardiac function compared with ticagrelor monotherapy in patients receiving PCI.
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Affiliation(s)
- Jinling Sun
- Department of Geriatrics, Zibo Central Hospital, Zibo, Shandong 255036, P.R. China
| | - Xiaodong Jin
- Department of Geriatrics, Zibo Central Hospital, Zibo, Shandong 255036, P.R. China
| | - Limei Zhang
- Department of Endocrinology, Zibo Central Hospital, Zibo, Shandong 255036, P.R. China
| | - Hongshuai Shen
- Department of Geriatrics, Zibo Central Hospital, Zibo, Shandong 255036, P.R. China
| | - Hui Yu
- Department of Endocrinology, Zibo Central Hospital, Zibo, Shandong 255036, P.R. China
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