ArticleBMJ open2020
Development and validation of a prognostic nomogram for myocardial infarction patients in intensive care units: a retrospective cohort study.
Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Factors contributing to 1-year dissatisfaction after total knee arthroplasty: a nomogram prediction model.Journal of orthopaedic surgery and research · 2022Trial
- Development and validation of a prediction model for in-hospital mortality of patients with severe thrombocytopenia.Scientific reports · 2022Trial
- Risk factors and prediction models for bronchitis obliterans after severe Mycoplasma pneumoniae pneumonia with plastic bronchitis in children.Pakistan journal of medical sciences · 2026Article
- Development and validation of nomogram model predicting overall survival and cancer specific survival in glioblastoma patients.Discover oncology · 2025Article
- Individualized drug therapy and survival prediction in ICU patients with acute kidney injury: construction and validation of a nomogram.European journal of medical research · 2025Article
- Predicting In-Hospital Mortality in Myocardial Infarction: A Nomogram-Based Retrospective Analysis of the MIMIC-IV Database.Vascular health and risk management · 2025Article
- Article
- Preventing secondary screw perforation following proximal humerus fracture after locking plate fixation: a new clinical prognostic risk stratification model.Archives of orthopaedic and trauma surgery · 2024Article
- Development and validation of a nomogram for predicting in-hospital mortality of patients with cervical spine fractures without spinal cord injury.European journal of medical research · 2024Article
- Development and validation of a nomogram for arterial stiffness.Journal of clinical hypertension (Greenwich, Conn.) · 2023Article
- Short-Term Prognostic Value of the Culprit-SYNTAX Score in Patients with Acute Myocardial Infarction.Journal of cardiovascular development and disease · 2023Article
- Article
- Development, validation, and visualization of a web-based nomogram to predict 5-year mortality risk in older adults with hypertension.BMC geriatrics · 2022Article
- Identifying the risk features for occupational stress in medical workers: a cross-sectional study.International archives of occupational and environmental health · 2022Article
- Sequential Data-Based Patient Similarity Framework for Patient Outcome Prediction: Algorithm Development.Journal of medical Internet research · 2022Article
- The Application of a Multidimensional Prediction Model in the Recurrence of Female Pelvic Organ Prolapse after Surgery.Applied bionics and biomechanics · 2022Article
- Development and External Validation of a Nomogram for Predicting Acute Kidney Injury in Cardiogenic Shock Patients in Intensive Care Unit.International journal of general medicine · 2022Article
- A novel nomogram for predicting 3-year mortality in critically ill patients after coronary artery bypass grafting.BMC surgery · 2021Article
- Clinical features and risk factors analysis of bronchitis obliterans due to refractory Mycoplasma pneumoniae pneumonia in children: a nomogram prediction model.BMC infectious diseases · 2021Article
- Development and Validation of Nomogram to Predict Long-Term Prognosis of Critically Ill Patients with Acute Myocardial Infarction.International journal of general medicine · 2021Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesWe aimed to develop and validate a prognostic nomogram and evaluate the discrimination of the nomogram model in order to improve the prediction of 30-day survival of critically ill myocardial infarction (MI) patients.
designA retrospective cohort study.
settingData were collected from the Medical Information Mart for Intensive Care (MIMIC)-III database, consisting of critically ill participants between 2001 and 2012 in the USA.
participantsA total of 2031 adult critically ill patients with MI were enrolled from the MIMIC-III database. PRIMARY AND SECONDARY OUTCOME: Thirty-day survival.
resultsIndependent prognostic factors, including age, heart rate, white blood cell count, blood urea nitrogen and bicarbonate, were identified by Cox regression model and used in the nomogram. Good agreement between the prediction and observation was indicated by the calibration curve for 30-day survival. The nomogram exhibited reasonably accurate discrimination (area under the receiver operating characteristic curve, 0.765, 95% CI, 0.716 to 0.814) and calibration (C-index, 0.758, 95% CI, 0.712 to 0.804) in the validation cohort. Decision curve analysis demonstrated that the nomogram was clinically beneficial. Additionally, participants could be classified into two risk groups by the nomogram, and the 30-day survival probability was significantly different between them (p<0.001).
conclusionThis five-factor nomogram can achieve a reasonable degree of accuracy to predict 30-day survival in critically ill MI patients and might be helpful for risk stratification and decision-making for MI patients.
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