Cargando…

A novel nomogram to predict mortality in patients with stroke: a survival analysis based on the MIMIC-III clinical database

BACKGROUND: Stroke is a disease characterized by sudden cerebral ischemia and is the second leading cause of death worldwide. We aimed to develop and validate a nomogram model to predict mortality in intensive care unit patients with stroke. METHODS: All data involved in this study were extracted fr...

Descripción completa

Detalles Bibliográficos
Autores principales:	Li, Xiao-Dan, Li, Min-Min
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2022
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988376/ https://www.ncbi.nlm.nih.gov/pubmed/35387672 http://dx.doi.org/10.1186/s12911-022-01836-3

Ejemplares similares

A Novel Nomogram for Predicting Survival in Patients with Severe Acute Pancreatitis: An Analysis Based on the Large MIMIC-III Clinical Database
por: Han, Didi, et al.
Publicado: (2021)

Development of a Nomogram to Predict 28-Day Mortality of Patients With Sepsis-Induced Coagulopathy: An Analysis of the MIMIC-III Database
por: Lu, Zongqing, et al.
Publicado: (2021)

Predicting in-hospital mortality for MIMIC-III patients: A nomogram combined with SOFA score
por: Liu, Ran, et al.
Publicado: (2022)

A nomogram to predict 28-day mortality in neonates with sepsis: a retrospective study based on the MIMIC-III database
por: Liang, Yongzhou, et al.
Publicado: (2023)

Development and validation of a novel nomogram of 1-year mortality in the elderly with hip fracture: a study of the MIMIC-III database
por: Chen, Qian, et al.
Publicado: (2023)

Nomogram to predict the risk of acute kidney injury in patients with diabetic ketoacidosis: an analysis of the MIMIC-III database
por: Fan, Tingting, et al.
Publicado: (2021)

A Novel Nomogram for Predicting Morbidity Risk in Patients with Secondary Malignant Neoplasm of Bone and Bone Marrow: An Analysis Based on the Large MIMIC-III Clinical Database
por: Miao, Guiqiang, et al.
Publicado: (2022)

Admission NLPR predicts long-term mortality in patients with acute ischemic stroke: A retrospective analysis of the MIMIC-III database
por: Su, Xiao, et al.
Publicado: (2023)

A nomogram for predicting sepsis-associated delirium: a retrospective study in MIMIC III
por: Gu, Qiong, et al.
Publicado: (2023)

Development and Internal Validation of a Nomogram to Predict Mortality During the ICU Stay of Thoracic Fracture Patients Without Neurological Compromise: An Analysis of the MIMIC-III Clinical Database
por: Wang, Haosheng, et al.
Publicado: (2021)

Timing of vasopressin initiation and mortality in patients with septic shock: analysis of the MIMIC-III and MIMIC-IV databases
por: Xu, Jun, et al.
Publicado: (2023)

Association between platelet-lymphocyte ratio and 90-day mortality in patients with intracerebral hemorrhage: data from the MIMIC-III database
por: Yuan, Min, et al.
Publicado: (2023)

Association between Mean Arterial Pressure during the First 24 Hours and Clinical Outcome in Critically Ill Stroke Patients: An Analysis of the MIMIC-III Database
por: Zhang, Sheng, et al.
Publicado: (2023)

337. Association of atrial fibrillation burden with in-hospital mortality in patients with sepsis: Analysis of MIMIC-III database
por: Lee, Yongseop, et al.
Publicado: (2023)

Machine Learning Prediction Models for Mechanically Ventilated Patients: Analyses of the MIMIC-III Database
por: Zhu, Yibing, et al.
Publicado: (2021)

MIMIC-III, a freely accessible critical care database
por: Johnson, Alistair E.W., et al.
Publicado: (2016)

Mortality prediction among ICU inpatients based on MIMIC-III database results from the conditional medical generative adversarial network
por: Yang, Wei, et al.
Publicado: (2023)

Admission oxygen saturation and all-cause in-hospital mortality in acute myocardial infarction patients: data from the MIMIC-III database
por: Yu, Yue, et al.
Publicado: (2020)

The Nomogram Model Predicting Overall Survival and Guiding Clinical Decision in Patients With Glioblastoma Based on the SEER Database
por: Li, Hongjian, et al.
Publicado: (2020)

Analysis of adult disease characteristics and mortality on MIMIC-III
por: Dai, Zheng, et al.
Publicado: (2020)

Serum Anion Gap Predicts All-Cause Mortality in Critically Ill Patients with Acute Kidney Injury: Analysis of the MIMIC-III Database
por: Cheng, Bihuan, et al.
Publicado: (2020)

Machine Learning Prediction Models for Postoperative Stroke in Elderly Patients: Analyses of the MIMIC Database
por: Zhang, Xiao, et al.
Publicado: (2022)

Nomogram for predicting overall survival in stage II‐III colorectal cancer
por: Liu, Jungang, et al.
Publicado: (2020)

Development and validation of a nomogram for predicting overall survival in patients with stage III-N2 lung adenocarcinoma based on the SEER database
por: Zhang, Shengchao, et al.
Publicado: (2023)

Nomogram for predicting overall survival in children with neuroblastoma based on SEER database
por: Liang, Song-Wu, et al.
Publicado: (2020)

Mean arterial pressure and mortality in patients with distributive shock: a retrospective analysis of the MIMIC-III database
por: Vincent, Jean-Louis, et al.
Publicado: (2018)

Survival nomograms for stage III colorectal cancer
por: Li, Chenglong, et al.
Publicado: (2018)

The association between neutrophil-to-lymphocyte count ratio and mortality in septic patients: a retrospective analysis of the MIMIC-III database
por: Ye, Weiyan, et al.
Publicado: (2020)

Prediction model of in-hospital mortality in intensive care unit patients with heart failure: machine learning-based, retrospective analysis of the MIMIC-III database
por: Li, Fuhai, et al.
Publicado: (2021)

Minimum heart rate and mortality in critically ill myocardial infarction patients: an analysis of the MIMIC-III database
por: Wang, Junjie, et al.
Publicado: (2021)

Association between normalized lactate load and mortality in patients with septic shock: an analysis of the MIMIC-III database
por: Chen, Han, et al.
Publicado: (2021)

Survival Prediction in Patients with Hypertensive Chronic Kidney Disease in Intensive Care Unit: A Retrospective Analysis Based on the MIMIC-III Database
por: Xia, Zuoxun, et al.
Publicado: (2022)

Admission Hyperglycemia Predicts Long-Term Mortality in Critically Ill Patients With Subarachnoid Hemorrhage: A Retrospective Analysis of the MIMIC-III Database
por: Liu, Dongliang, et al.
Publicado: (2021)

Nomograms for predicting overall survival and cancer-specific survival in young patients with pancreatic cancer in the US based on the SEER database
por: Shi, Min, et al.
Publicado: (2020)

The relationship between transthoracic echocardiography and mortality in adult patients with multiple organ dysfunction syndrome: analysis of the MIMIC-III database
por: Fu, Haiyan, et al.
Publicado: (2022)

Minimum heart rate and mortality after cardiac surgery: retrospective analysis of the Multi-parameter Intelligent Monitoring in Intensive Care (MIMIC-III) database
por: Luo, Chaodi, et al.
Publicado: (2023)

Effect of mean heart rate on 30-day mortality in ischemic stroke with atrial fibrillation: Data from the MIMIC-IV database
por: Yao, Shao-li, et al.
Publicado: (2022)

Prognostic factors and survival prediction in hepatocellular carcinoma: development and validation of a novel nomogram based on the SEER database
por: Huang, Shanshan, et al.
Publicado: (2023)

Predicting risk for trauma patients using static and dynamic information from the MIMIC III database
por: Tsiklidis, Evan J., et al.
Publicado: (2022)

Lower serum chloride concentrations are associated with increased risk of mortality in critically ill cirrhotic patients: an analysis of the MIMIC-III database
por: Ji, Yun, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_tuo96cd9fkouhha51i5ra1umms