{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["2022"],"submitter":["Wang Y"],"pubmed_abstract":["<h4>Background</h4>Mortality after percutaneous coronary intervention (PCI) in ST-elevation myocardial infarction (STEMI) patients with cardiogenic shock (CS) remains high. However, the real-world risk factors for mortality in these patients are poorly defined.<h4>Objective</h4>The aim of this study is to establish a clinical prognostic nomogram for predicting in-hospital mortality after primary PCI in STEMI patients with CS.<h4>Methods</h4>This retrospective, multicenter, observational study included STEMI patients with CS who underwent PCI at 39 hospitals in Hebei Province from January 2018 to December 2019. A multivariate logistic regression model was used to identify the factors associated with in-hospital mortality. These factors were then incorporated into a nomogram and its performance was evaluated by discrimination, calibration, and clinical utility.<h4>Results</h4>This study included 274 patients, among whom 179 died in hospital. Sex, random blood glucose on admission, ejection fraction after PCI, no-reflow, and intra-aortic balloon pump (IABP) were independently associated with in-hospital mortality (all <i>P</i> < 0.05). In the training set, the nomogram showed a C-index of 0.819, goodness-of-fit of 0.08, and area under the receiver operating characteristic curve (AUC) of 0.819 (95%CI = 0.759-0.879). In the testing set, the C-index was 0.842, goodness-of-fit was 0.585, and AUC was 0.842 (95%CI = 0.715-0.970). The results indicate that the nomogram had good discrimination and good prediction accuracy and could achieve a good net benefit.<h4>Conclusion</h4>We established and validated a nomogram that provided individual prediction of in-hospital mortality for STEMI patients with CS after PCI in a Chinese population."],"journal":["Journal of interventional cardiology"],"pagination":["8994106"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8934239"],"repository":["biostudies-literature"],"pubmed_title":["Nomogram for Predicting In-Hospital Mortality in Patients with Acute ST-Elevation Myocardial Infarction Complicated by Cardiogenic Shock after Primary Percutaneous Coronary Intervention."],"pmcid":["PMC8934239"],"pubmed_authors":["Li X","Li Y","Liu L","Qi X","Wang Y","Dang Y","Wang J"],"additional_accession":[]},"is_claimable":false,"name":"Nomogram for Predicting In-Hospital Mortality in Patients with Acute ST-Elevation Myocardial Infarction Complicated by Cardiogenic Shock after Primary Percutaneous Coronary Intervention.","description":"<h4>Background</h4>Mortality after percutaneous coronary intervention (PCI) in ST-elevation myocardial infarction (STEMI) patients with cardiogenic shock (CS) remains high. However, the real-world risk factors for mortality in these patients are poorly defined.<h4>Objective</h4>The aim of this study is to establish a clinical prognostic nomogram for predicting in-hospital mortality after primary PCI in STEMI patients with CS.<h4>Methods</h4>This retrospective, multicenter, observational study included STEMI patients with CS who underwent PCI at 39 hospitals in Hebei Province from January 2018 to December 2019. A multivariate logistic regression model was used to identify the factors associated with in-hospital mortality. These factors were then incorporated into a nomogram and its performance was evaluated by discrimination, calibration, and clinical utility.<h4>Results</h4>This study included 274 patients, among whom 179 died in hospital. Sex, random blood glucose on admission, ejection fraction after PCI, no-reflow, and intra-aortic balloon pump (IABP) were independently associated with in-hospital mortality (all <i>P</i> < 0.05). In the training set, the nomogram showed a C-index of 0.819, goodness-of-fit of 0.08, and area under the receiver operating characteristic curve (AUC) of 0.819 (95%CI = 0.759-0.879). In the testing set, the C-index was 0.842, goodness-of-fit was 0.585, and AUC was 0.842 (95%CI = 0.715-0.970). The results indicate that the nomogram had good discrimination and good prediction accuracy and could achieve a good net benefit.<h4>Conclusion</h4>We established and validated a nomogram that provided individual prediction of in-hospital mortality for STEMI patients with CS after PCI in a Chinese population.","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2025-05-31T22:23:42.365Z","creation":"2025-05-31T22:23:42.365Z"},"accession":"S-EPMC8934239","cross_references":{"pubmed":["35356419"],"doi":["10.1155/2022/8994106"]}}