241 related articles for article (PubMed ID: 37498349)
1. Development and validation of a nomogram to predict the risk of renal replacement therapy among acute kidney injury patients in intensive care unit.
Peng JC; Wu Y; Xing SP; Zhu ML; Gao Y; Li W
Clin Exp Nephrol; 2023 Nov; 27(11):951-960. PubMed ID: 37498349
[TBL] [Abstract][Full Text] [Related]
2. Nomogram to predict the risk of acute kidney injury in patients with diabetic ketoacidosis: an analysis of the MIMIC-III database.
Fan T; Wang H; Wang J; Wang W; Guan H; Zhang C
BMC Endocr Disord; 2021 Mar; 21(1):37. PubMed ID: 33663489
[TBL] [Abstract][Full Text] [Related]
3. A novel risk-predicted nomogram for sepsis associated-acute kidney injury among critically ill patients.
Yang S; Su T; Huang L; Feng LH; Liao T
BMC Nephrol; 2021 May; 22(1):173. PubMed ID: 33971853
[TBL] [Abstract][Full Text] [Related]
4. Development and validation of a prognostic nomogram among patients with acute exacerbation of chronic obstructive pulmonary disease in intensive care unit.
Peng JC; Gong WW; Wu Y; Yan TY; Jiang XY
BMC Pulm Med; 2022 Aug; 22(1):306. PubMed ID: 35945553
[TBL] [Abstract][Full Text] [Related]
5. Construction and validation of a risk assessment model for acute kidney injury in patients with acute pancreatitis in the intensive care unit.
Jiang Z; An X; Li Y; Xu C; Meng H; Qu Y
BMC Nephrol; 2023 Oct; 24(1):315. PubMed ID: 37884898
[TBL] [Abstract][Full Text] [Related]
6. Construction and Validation of a Risk Prediction Model for Acute Kidney Injury in Patients Suffering from Septic Shock.
Yue S; Li S; Huang X; Liu J; Hou X; Wang Y; Wu J
Dis Markers; 2022; 2022():9367873. PubMed ID: 35035614
[TBL] [Abstract][Full Text] [Related]
7. Nomogram to predict the risk of septic acute kidney injury in the first 24 h of admission: an analysis of intensive care unit data.
Deng F; Peng M; Li J; Chen Y; Zhang B; Zhao S
Ren Fail; 2020 Nov; 42(1):428-436. PubMed ID: 32401139
[No Abstract] [Full Text] [Related]
8. Construction and evaluation of a risk prediction model for pulmonary infection-associated acute kidney injury in intensive care units.
Cao X; Liang Y; Feng H; Chen L; Liu S
Clin Transl Sci; 2023 Oct; 16(10):1923-1934. PubMed ID: 37488744
[TBL] [Abstract][Full Text] [Related]
9. [Development and validation of a nomogram for predicting 3-month mortality risk in patients with sepsis-associated acute kidney injury].
Yue X; Li Z; Wang L; Huang L; Zhao Z; Wang P; Wang S; Gong X; Zhang S; Wang Z
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 May; 36(5):465-470. PubMed ID: 38845491
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. A nomogram for predicting 28-day mortality in elderly patients with acute kidney injury receiving continuous renal replacement therapy: a secondary analysis based on a retrospective cohort study.
Li X; Li Y; Fan CJ; Jiao ZF; Zhang YM; Luo NN; Ma XF
BMC Nephrol; 2024 Jun; 25(1):195. PubMed ID: 38862887
[TBL] [Abstract][Full Text] [Related]
12. [Development and validation of a prognostic model for patients with sepsis in intensive care unit].
Jiang Z; Wang H; Wang S; Guan C; Qu Y
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Aug; 35(8):800-806. PubMed ID: 37593856
[TBL] [Abstract][Full Text] [Related]
13. A nomogram for predicting the mortality of patients with type 2 diabetes mellitus complicated with acute kidney injury in the intensive care unit.
Liu S; Qiu C; Li X; Yu Z; Liu F; Hu G
BMC Anesthesiol; 2023 Jan; 23(1):4. PubMed ID: 36600212
[TBL] [Abstract][Full Text] [Related]
14. Development and validation of a risk nomogram for postoperative acute kidney injury in older patients undergoing liver resection: a pilot study.
Yu Y; Zhang C; Zhang F; Liu C; Li H; Lou J; Xu Z; Liu Y; Cao J; Mi W
BMC Anesthesiol; 2022 Jan; 22(1):22. PubMed ID: 35026992
[TBL] [Abstract][Full Text] [Related]
15. Dynamic nomogram for predicting acute kidney injury in patients with acute ischemic stroke: A retrospective study.
Zhu G; Fu Z; Jin T; Xu X; Wei J; Cai L; Yu W
Front Neurol; 2022; 13():987684. PubMed ID: 36176552
[TBL] [Abstract][Full Text] [Related]
16. 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.
Wang H; Ou Y; Fan T; Zhao J; Kang M; Dong R; Qu Y
Front Public Health; 2021; 9():818439. PubMed ID: 35004604
[No Abstract] [Full Text] [Related]
17. Development and validation of a nomogram for predicting in-hospital mortality of elderly patients with persistent sepsis-associated acute kidney injury in intensive care units: a retrospective cohort study using the MIMIC-IV database.
Jiang W; Zhang C; Yu J; Shao J; Zheng R
BMJ Open; 2023 Mar; 13(3):e069824. PubMed ID: 36972970
[TBL] [Abstract][Full Text] [Related]
18. A novel nomogram to predict perioperative acute kidney injury following isolated coronary artery bypass grafting surgery with impaired left ventricular ejection fraction.
Lin H; Hou J; Tang H; Chen K; Sun H; Zheng Z; Hu S
BMC Cardiovasc Disord; 2020 Dec; 20(1):517. PubMed ID: 33302875
[TBL] [Abstract][Full Text] [Related]
19. Development and validation of prognostic nomogram for cirrhotic patients with acute kidney injury upon ICU admission.
Liao T; Lu Y; Su T; Bei L; Li X; Lu Y; Ren S; Huang L; Feng LH
Intern Emerg Med; 2024 Jan; 19(1):49-58. PubMed ID: 37796371
[TBL] [Abstract][Full Text] [Related]
20. Construction and validation of an early warning model for predicting the acute kidney injury in elderly patients with sepsis.
Xin Q; Xie T; Chen R; Wang H; Zhang X; Wang S; Liu C; Zhang J
Aging Clin Exp Res; 2022 Dec; 34(12):2993-3004. PubMed ID: 36053443
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
