435 related articles for article (PubMed ID: 36434509)
1. A simple APACHE IV risk dynamic nomogram that incorporates early admitted lactate for the initial assessment of 28-day mortality in critically ill patients with acute myocardial infarction.
Song J; Yu T; Yan Q; Wu L; Li S; Wang L
BMC Cardiovasc Disord; 2022 Nov; 22(1):502. PubMed ID: 36434509
[TBL] [Abstract][Full Text] [Related]
2. A Nomogram for Predicting Hospital Mortality in Intensive Care Unit Patients with Acute Myocardial Infarction.
Tan L; Xu Q; Shi R
Int J Gen Med; 2021; 14():5863-5877. PubMed ID: 34566426
[TBL] [Abstract][Full Text] [Related]
3. Machine learning prediction models and nomogram to predict the risk of in-hospital death for severe DKA: A clinical study based on MIMIC-IV, eICU databases, and a college hospital ICU.
Xie W; Li Y; Meng X; Zhao M
Int J Med Inform; 2023 Jun; 174():105049. PubMed ID: 37001474
[TBL] [Abstract][Full Text] [Related]
4. Development and validation of a nomogram for predicting in-hospital mortality of patients with cervical spine fractures without spinal cord injury.
Xing Z; Cai L; Wu Y; Shen P; Fu X; Xu Y; Wang J
Eur J Med Res; 2024 Jan; 29(1):80. PubMed ID: 38287435
[TBL] [Abstract][Full Text] [Related]
5. A NOMOGRAM FOR PREDICTING PATIENTS WITH SEVERE HEATSTROKE.
Wei D; Gu T; Yi C; Tang Y; Liu F
Shock; 2022 Aug; 58(2):95-102. PubMed ID: 35953457
[TBL] [Abstract][Full Text] [Related]
6. Development and Validation of a Dynamic Nomogram for Predicting in-Hospital Mortality in Patients with Acute Pancreatitis: A Retrospective Cohort Study in the Intensive Care Unit.
Zou K; Huang S; Ren W; Xu H; Zhang W; Shi X; Shi L; Zhong X; Peng Y; Lü M; Tang X
Int J Gen Med; 2023; 16():2541-2553. PubMed ID: 37351008
[TBL] [Abstract][Full Text] [Related]
7. Predictors and nomogram of in-hospital mortality in sepsis-induced myocardial injury: a retrospective cohort study.
Xu KZ; Xu P; Li JJ; Zuo AF; Wang SB; Han F
BMC Anesthesiol; 2023 Jul; 23(1):230. PubMed ID: 37420185
[TBL] [Abstract][Full Text] [Related]
8. Early prediction of in-hospital mortality in acute pancreatitis: a retrospective observational cohort study based on a large multicentre critical care database.
Li C; Ren Q; Wang Z; Wang G
BMJ Open; 2020 Dec; 10(12):e041893. PubMed ID: 33361165
[TBL] [Abstract][Full Text] [Related]
9. DEVELOPMENT AND VALIDATION OF A NOMOGRAM FOR PREDICTING 28-DAY IN-HOSPITAL MORTALITY IN SEPSIS PATIENTS BASED ON AN OPTIMIZED ACUTE PHYSIOLOGY AND CHRONIC HEALTH EVALUATION II SCORE.
Yuan Y; Meng Y; Li Y; Zhou J; Wang J; Jiang Y; Ma L
Shock; 2024 May; 61(5):718-727. PubMed ID: 38517232
[TBL] [Abstract][Full Text] [Related]
10. [Risk factors analysis of central venous catheter-related thrombosis in critically ill patients and development of nomogram prediction model].
Wang N; Guo Z; Zhang Y; Wang J; Guo W; Wang J; Cui Z
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2021 Sep; 33(9):1047-1051. PubMed ID: 34839859
[TBL] [Abstract][Full Text] [Related]
11. Development of a novel tool: a nomogram for predicting in-hospital mortality of patients in intensive care unit after percutaneous coronary intervention.
Yuan M; Ren BC; Wang Y; Ren F; Gao D
BMC Anesthesiol; 2023 Jan; 23(1):5. PubMed ID: 36609220
[TBL] [Abstract][Full Text] [Related]
12. Development and validation of a nomogram to predict the 30-day mortality risk of patients with intracerebral hemorrhage.
Zou J; Chen H; Liu C; Cai Z; Yang J; Zhang Y; Li S; Lin H; Tan M
Front Neurosci; 2022; 16():942100. PubMed ID: 36033629
[TBL] [Abstract][Full Text] [Related]
13. The prognostic nutritional index predicts all-cause mortality in critically ill patients with acute myocardial infarction.
Huang Y; Zhang Q; Li P; Chen M; Wang R; Hu J; Chi J; Cai H; Wu N; Xu L
BMC Cardiovasc Disord; 2023 Jul; 23(1):339. PubMed ID: 37403066
[TBL] [Abstract][Full Text] [Related]
14. APACHE II score for critically ill patients with a solid tumor: A reclassification study.
Martos-Benítez FD; Cordero-Escobar I; Soto-García A; Betancourt-Plaza I; González-Martínez I
Rev Esp Anestesiol Reanim (Engl Ed); 2018 Oct; 65(8):447-455. PubMed ID: 29779786
[TBL] [Abstract][Full Text] [Related]
15. A nomogram incorporating functional and tubular damage biomarkers to predict the risk of acute kidney injury for septic patients.
Ma J; Deng Y; Lao H; Ouyang X; Liang S; Wang Y; Yao F; Deng Y; Chen C
BMC Nephrol; 2021 May; 22(1):176. PubMed ID: 33985459
[TBL] [Abstract][Full Text] [Related]
16. Development and verification of a predictive nomogram to evaluate the risk of complicating ventricular tachyarrhythmia after acute myocardial infarction during hospitalization: A retrospective analysis.
Zheng X; Huang R; Liu G; Jia Z; Chen K; He Y
Am J Emerg Med; 2021 Aug; 46():462-468. PubMed ID: 33214022
[TBL] [Abstract][Full Text] [Related]
17. Establishment and validation of a prognosis nomogram for MIMIC-III patients with liver cirrhosis complicated with hepatic encephalopathy.
Yan W; Yao Z; Ou Q; Ye G
BMC Gastroenterol; 2023 Sep; 23(1):335. PubMed ID: 37770848
[TBL] [Abstract][Full Text] [Related]
18. A nomogram to predict left atrial appendage thrombus and spontaneous echo contrast in non-valvular atrial fibrillation patients.
Sun S; Su B; Lin J; Zhao C; Ma C
BMC Cardiovasc Disord; 2022 Jul; 22(1):311. PubMed ID: 35820838
[TBL] [Abstract][Full Text] [Related]
19. A nomogram based on the expression level of angiopoietin-like 4 to predict the severity of community-acquired pneumonia.
Chen S; Jiang J; Su M; Chen P; Liu X; Lei W; Zhang S; Wu Q; Rong F; Li X; Zheng X; Xiao Q
BMC Infect Dis; 2023 Oct; 23(1):677. PubMed ID: 37821811
[TBL] [Abstract][Full Text] [Related]
20. Development and validation of a nomogram for predicting in-hospital mortality in patients with nonhip femoral fractures.
Xing Z; Xu Y; Wu Y; Fu X; Shen P; Che W; Wang J
Eur J Med Res; 2023 Nov; 28(1):539. PubMed ID: 38001553
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
