245 related articles for article (PubMed ID: 36972970)
1. 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]
2. 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]
3. [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]
4. Establishment and external validation of an online dynamic nomogram for predicting in-hospital death risk in sepsis-associated acute kidney disease.
Li M; Zhao S; Huang L; Hu C; Zhang B; Hou Q
Curr Med Res Opin; 2022 Oct; 38(10):1705-1713. PubMed ID: 35856713
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Mortality and differential predictive factors of transient and persistent sepsis-associated acute kidney injury.
Xia W; Yi F; Wang Q
Clin Nephrol; 2023 Mar; 99(3):119-127. PubMed ID: 36546763
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Nomogram predictive model for in-hospital mortality risk in elderly ICU patients with urosepsis.
Wei J; Liang R; Liu S; Dong W; Gao J; Hua T; Xiao W; Li H; Zhu H; Hu J; Cao S; Liu Y; Lyu J; Yang M
BMC Infect Dis; 2024 Apr; 24(1):442. PubMed ID: 38671376
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. Machine Learning for Predicting Risk and Prognosis of Acute Kidney Disease in Critically Ill Elderly Patients During Hospitalization: Internet-Based and Interpretable Model Study.
Li M; Han S; Liang F; Hu C; Zhang B; Hou Q; Zhao S
J Med Internet Res; 2024 May; 26():e51354. PubMed ID: 38691403
[TBL] [Abstract][Full Text] [Related]
13. [Effect of early initiation of continuous renal replacement therapy based on the KDIGO classification on the prognosis of critically ill patients with acute kidney injury].
Chen M; Hu B; Li Q; Liu J
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2016 Mar; 28(3):246-51. PubMed ID: 29917340
[TBL] [Abstract][Full Text] [Related]
14. Acute Kidney Injury Can Predict In-Hospital Mortality in Elderly Patients with COVID-19 in the ICU: A Single-Center Study.
Li Q; Zhang T; Li F; Mao Z; Kang H; Tao L; Zhou F; Cai Y
Clin Interv Aging; 2020; 15():2095-2107. PubMed ID: 33204075
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. A nomogram for predicting hospital mortality of critical ill patients with sepsis and cancer: a retrospective cohort study based on MIMIC-IV and eICU-CRD.
Yuan ZN; Xue YJ; Wang HJ; Qu SN; Huang CL; Wang H; Zhang H; Xing XZ
BMJ Open; 2023 Sep; 13(9):e072112. PubMed ID: 37696627
[TBL] [Abstract][Full Text] [Related]
18. Development and external validation of a nomogram for the early prediction of acute kidney injury in septic patients: a multicenter retrospective clinical study.
Su QY; Chen WJ; Zheng YJ; Shi W; Gong FC; Huang SW; Yang ZT; Qu HP; Mao EQ; Wang RL; Zhu DM; Zhao G; Chen W; Wang S; Wang Q; Zhu CQ; Yuan G; Chen EZ; Chen Y
Ren Fail; 2024 Dec; 46(1):2310081. PubMed ID: 38321925
[No Abstract] [Full Text] [Related]
19. 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]
20. Risk factor analysis and nomogram for predicting in-hospital mortality in ICU patients with sepsis and lung infection.
Ren Y; Zhang L; Xu F; Han D; Zheng S; Zhang F; Li L; Wang Z; Lyu J; Yin H
BMC Pulm Med; 2022 Jan; 22(1):17. PubMed ID: 34991569
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
