A nomogramic model for predicting the left ventricular ejection fraction of STEMI patients after thrombolysis-transfer PCI
BackgroundThe prognosis of ST-segment elevation myocardial infarction (STEMI) is closely linked to left ventricular ejection fraction (LVEF). In contrast to primary percutaneous coronary intervention (PPCI), thrombolysis-transfer PCI (TTPCI) is influenced by multiple factors that lead to heterogenei...
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| Format: | Article |
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Frontiers Media S.A.
2023-09-01
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| Series: | Frontiers in Cardiovascular Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fcvm.2023.1178417/full |
| _version_ | 1797689890347941888 |
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| author | Shuai Liu Shuai Liu Shuai Liu Zhihui Jiang Zhihui Jiang Zhihui Jiang Yuanyuan Zhang Shuwen Pang Shuwen Pang Yan Hou Yipei Liu Yipei Liu Yuekang huang Yuekang huang Na Peng Na Peng Na Peng Youqing Tang Youqing Tang |
| author_facet | Shuai Liu Shuai Liu Shuai Liu Zhihui Jiang Zhihui Jiang Zhihui Jiang Yuanyuan Zhang Shuwen Pang Shuwen Pang Yan Hou Yipei Liu Yipei Liu Yuekang huang Yuekang huang Na Peng Na Peng Na Peng Youqing Tang Youqing Tang |
| author_sort | Shuai Liu |
| collection | DOAJ |
| description | BackgroundThe prognosis of ST-segment elevation myocardial infarction (STEMI) is closely linked to left ventricular ejection fraction (LVEF). In contrast to primary percutaneous coronary intervention (PPCI), thrombolysis-transfer PCI (TTPCI) is influenced by multiple factors that lead to heterogeneity in cardiac function and prognosis. The aim of this study is to develop a nomogram model for predicting early LVEF in STEMI patients with TTPCI, based on routine indicators at admission.MethodWe retrospectively reviewed data from patients diagnosed with STEMI at five network hospitals of our PCI center who performed TTPCI as door-to-balloon time (the interval between arrival at the hospital and intracoronary balloon inflation) over 120 min, from February 2018 to April 2022. Categorical variables were analyzed using Pearson χ2 tests or Fisher exact tests, while Student's t-test or Mann–Whitney U-test was used to compare continuous variables. Subsequently, independent risk factors associated with reduced LVEF one week after TTPCI were identified through comprehensive analysis by combining All-Subsets Regression with Logistic Regression. Based on these indicators, a nomogram model was developed, and validated using the area under the receiver operating characteristic (ROC) curve and the Bootstrap method.ResultsA total of 288 patients were analyzed, including 60 with LVEF < 50% and 228 with LVEF ≥ 50%. The nomogram model based on six independent risk factors including age, heart rate (HR), hypertension, smoking history, Alanine aminotransferase (ALT), and Killip class, demonstrated excellent discrimination with an AUC of 0.84 (95% CI: 0.78–0.89), predicted C-index of 0.84 and curve fit of 0.713.ConclusionsThe nomogram model incorporating age, HR, hypertension, smoking history, ALT and Killip class could accurately predict the early LVEF ≥ 50% probability of STEMI patients undergoing TTPCI, and enable clinicians' early evaluation of cardiac function in STEMI patients with TTPCI and early optimization of treatment. |
| first_indexed | 2024-03-12T01:52:39Z |
| format | Article |
| id | doaj.art-c9cdeb278e7a4214b82c3ef7f9c3953b |
| institution | Directory Open Access Journal |
| issn | 2297-055X |
| language | English |
| last_indexed | 2024-03-12T01:52:39Z |
| publishDate | 2023-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Cardiovascular Medicine |
| spelling | doaj.art-c9cdeb278e7a4214b82c3ef7f9c3953b2023-09-08T12:07:21ZengFrontiers Media S.A.Frontiers in Cardiovascular Medicine2297-055X2023-09-011010.3389/fcvm.2023.11784171178417A nomogramic model for predicting the left ventricular ejection fraction of STEMI patients after thrombolysis-transfer PCIShuai Liu0Shuai Liu1Shuai Liu2Zhihui Jiang3Zhihui Jiang4Zhihui Jiang5Yuanyuan Zhang6Shuwen Pang7Shuwen Pang8Yan Hou9Yipei Liu10Yipei Liu11Yuekang huang12Yuekang huang13Na Peng14Na Peng15Na Peng16Youqing Tang17Youqing Tang18Graduate School, Guangzhou University of Chinese Medicine, Guangzhou, ChinaDepartment of Emergency Medicine, General Hospital of Southern Theater Command, Guangzhou, ChinaDepartment of Emergency Medicine, Guangdong Second Provincial General Hospital, Guangzhou, ChinaGraduate School, Guangzhou University of Chinese Medicine, Guangzhou, ChinaDepartment of Pharmacy, General Hospital of Southern Theater Command, Guangzhou, ChinaSchool of Pharmaceutical Sciences, Southern Medical University, Guangzhou, ChinaDepartment of Geriatrics, General Hospital of Southern Theater Command, Guangzhou, ChinaGraduate School, Guangzhou University of Chinese Medicine, Guangzhou, ChinaDepartment of Emergency Medicine, Guangdong Second Provincial General Hospital, Guangzhou, ChinaDepartment of Emergency Medicine, General Hospital of Southern Theater Command, Guangzhou, ChinaDepartment of Emergency Medicine, General Hospital of Southern Theater Command, Guangzhou, ChinaThe First School of Clinical Medicine, Southern Medical University Guangzhou, Guangzhou, ChinaDepartment of Emergency Medicine, General Hospital of Southern Theater Command, Guangzhou, ChinaThe First School of Clinical Medicine, Southern Medical University Guangzhou, Guangzhou, ChinaGraduate School, Guangzhou University of Chinese Medicine, Guangzhou, ChinaDepartment of Emergency Medicine, General Hospital of Southern Theater Command, Guangzhou, ChinaThe First School of Clinical Medicine, Southern Medical University Guangzhou, Guangzhou, ChinaDepartment of Emergency Medicine, General Hospital of Southern Theater Command, Guangzhou, ChinaDepartment of Emergency Medicine, Guangdong Second Provincial General Hospital, Guangzhou, ChinaBackgroundThe prognosis of ST-segment elevation myocardial infarction (STEMI) is closely linked to left ventricular ejection fraction (LVEF). In contrast to primary percutaneous coronary intervention (PPCI), thrombolysis-transfer PCI (TTPCI) is influenced by multiple factors that lead to heterogeneity in cardiac function and prognosis. The aim of this study is to develop a nomogram model for predicting early LVEF in STEMI patients with TTPCI, based on routine indicators at admission.MethodWe retrospectively reviewed data from patients diagnosed with STEMI at five network hospitals of our PCI center who performed TTPCI as door-to-balloon time (the interval between arrival at the hospital and intracoronary balloon inflation) over 120 min, from February 2018 to April 2022. Categorical variables were analyzed using Pearson χ2 tests or Fisher exact tests, while Student's t-test or Mann–Whitney U-test was used to compare continuous variables. Subsequently, independent risk factors associated with reduced LVEF one week after TTPCI were identified through comprehensive analysis by combining All-Subsets Regression with Logistic Regression. Based on these indicators, a nomogram model was developed, and validated using the area under the receiver operating characteristic (ROC) curve and the Bootstrap method.ResultsA total of 288 patients were analyzed, including 60 with LVEF < 50% and 228 with LVEF ≥ 50%. The nomogram model based on six independent risk factors including age, heart rate (HR), hypertension, smoking history, Alanine aminotransferase (ALT), and Killip class, demonstrated excellent discrimination with an AUC of 0.84 (95% CI: 0.78–0.89), predicted C-index of 0.84 and curve fit of 0.713.ConclusionsThe nomogram model incorporating age, HR, hypertension, smoking history, ALT and Killip class could accurately predict the early LVEF ≥ 50% probability of STEMI patients undergoing TTPCI, and enable clinicians' early evaluation of cardiac function in STEMI patients with TTPCI and early optimization of treatment.https://www.frontiersin.org/articles/10.3389/fcvm.2023.1178417/fullSTEMITTPCILVEFprediction modelnomogram |
| spellingShingle | Shuai Liu Shuai Liu Shuai Liu Zhihui Jiang Zhihui Jiang Zhihui Jiang Yuanyuan Zhang Shuwen Pang Shuwen Pang Yan Hou Yipei Liu Yipei Liu Yuekang huang Yuekang huang Na Peng Na Peng Na Peng Youqing Tang Youqing Tang A nomogramic model for predicting the left ventricular ejection fraction of STEMI patients after thrombolysis-transfer PCI Frontiers in Cardiovascular Medicine STEMI TTPCI LVEF prediction model nomogram |
| title | A nomogramic model for predicting the left ventricular ejection fraction of STEMI patients after thrombolysis-transfer PCI |
| title_full | A nomogramic model for predicting the left ventricular ejection fraction of STEMI patients after thrombolysis-transfer PCI |
| title_fullStr | A nomogramic model for predicting the left ventricular ejection fraction of STEMI patients after thrombolysis-transfer PCI |
| title_full_unstemmed | A nomogramic model for predicting the left ventricular ejection fraction of STEMI patients after thrombolysis-transfer PCI |
| title_short | A nomogramic model for predicting the left ventricular ejection fraction of STEMI patients after thrombolysis-transfer PCI |
| title_sort | nomogramic model for predicting the left ventricular ejection fraction of stemi patients after thrombolysis transfer pci |
| topic | STEMI TTPCI LVEF prediction model nomogram |
| url | https://www.frontiersin.org/articles/10.3389/fcvm.2023.1178417/full |
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