153 related articles for article (PubMed ID: 35991127)
1. Ultrasonic Image Features under the Intelligent Algorithm in the Diagnosis of Severe Sepsis Complicated with Renal Injury.
Xu L; Wang X; Pu P; Li S; Shao Y; Li Y
Comput Math Methods Med; 2022; 2022():2310014. PubMed ID: 35991127
[TBL] [Abstract][Full Text] [Related]
2. Artificial Intelligence Pulse Coupled Neural Network Algorithm in the Diagnosis and Treatment of Severe Sepsis Complicated with Acute Kidney Injury under Ultrasound Image.
Ying F; Chen S; Pan G; He Z
J Healthc Eng; 2021; 2021():6761364. PubMed ID: 34336164
[TBL] [Abstract][Full Text] [Related]
3. [Clinical value of renal artery resistance index and urinary angiotensinogen in early diagnosis of acute kidney injury in patients with sepsis].
Zhou W; Zhang N; Ma S; Ma X
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2022 Nov; 34(11):1183-1187. PubMed ID: 36567563
[TBL] [Abstract][Full Text] [Related]
4. [Risk factors for mortality in intensive care unit patients with sepsis combined with acute kidney injury after continuous renal replacement therapy: secondary analysis of the data from a multicenter observational study].
Zhang Q; Fei Y; Jiang L
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2019 Feb; 31(2):155-159. PubMed ID: 30827301
[TBL] [Abstract][Full Text] [Related]
5. Account of Deep Learning-Based Ultrasonic Image Feature in the Diagnosis of Severe Sepsis Complicated with Acute Kidney Injury.
Lv Y; Huang Z
Comput Math Methods Med; 2022; 2022():8158634. PubMed ID: 35140807
[TBL] [Abstract][Full Text] [Related]
6. [Application of a risk stratification-based model for prediction of acute kidney injury combined with hemoperfusion in patients with sepsis: a prospective, observational, pilot study].
Feng F; Chen Y; Chen W; Yang H; Yang W; Du J; Li M
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2020 Jul; 32(7):814-818. PubMed ID: 32788015
[TBL] [Abstract][Full Text] [Related]
7. [Analysis of factors influencing recovery of renal functions in septic shock patients in intensive care unit with acute kidney injury].
He L; Su L; Zhang J; Peng Z
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2020 Feb; 32(2):199-203. PubMed ID: 32275006
[TBL] [Abstract][Full Text] [Related]
8. [Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients].
Tang CQ; Li JQ; Xu DY; Liu XB; Hou WJ; Lyu KY; Xiao SC; Xia ZF
Zhonghua Shao Shang Za Zhi; 2018 Jun; 34(6):343-348. PubMed ID: 29961290
[No Abstract] [Full Text] [Related]
9. [Clinical value of nutritional risk scores in patients with sepsis associated acute renal injury].
Wang N; Qin Z; Liu H; Shang N; Wang Y; Xi X
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2022 Mar; 34(3):245-249. PubMed ID: 35574739
[TBL] [Abstract][Full Text] [Related]
10. The clinical application of ultrasound for acute kidney injury during sepsis-from macroscopic to microscopic renal perfusion perspectives.
Liu P; Cai X; Zhang Y; Li Y; Liu L
Ultrasound Med Biol; 2023 Sep; 49(9):2017-2024. PubMed ID: 37277303
[TBL] [Abstract][Full Text] [Related]
11. [The value of renal color Doppler ultrasound in evaluating the severity and prognosis of patients with acute organophosphorus pesticide poisoning complicated by acute kidney injury].
Jiang JX; Guo LH; Cai CZ; Luo Q
Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi; 2021 Nov; 39(11):862-865. PubMed ID: 34886650
[No Abstract] [Full Text] [Related]
12. Diagnostic value of multi-parameter ultrasound evaluation in sepsis complicated by acute kidney injury.
Wang L; Wang X
Ren Fail; 2024 Dec; 46(1):2313861. PubMed ID: 38344995
[TBL] [Abstract][Full Text] [Related]
13. [Renal echography and cystatin C for prediction of acute kidney injury: very different in patients with cardiac failure or sepsis].
Zhi H; Zhang M; Cui X; Li Y
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2019 Oct; 31(10):1258-1263. PubMed ID: 31771725
[TBL] [Abstract][Full Text] [Related]
14. [Effect of admission mode of septic patients in intensive care unit on acute kidney injury and prognosis].
Chen D; Jiang L; Wang Z; Bayin C; Yang D; Jiang C; Xiao D
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2022 Mar; 34(3):250-254. PubMed ID: 35574740
[TBL] [Abstract][Full Text] [Related]
15. [Construction of a predictive model for early acute kidney injury risk in intensive care unit septic shock patients based on machine learning].
Zhang S; Tang S; Rong S; Zhu M; Liu J; Hu Q; Hao C
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2022 Mar; 34(3):255-259. PubMed ID: 35574741
[TBL] [Abstract][Full Text] [Related]
16. The development an artificial intelligence algorithm for early sepsis diagnosis in the intensive care unit.
Yuan KC; Tsai LW; Lee KH; Cheng YW; Hsu SC; Lo YS; Chen RJ
Int J Med Inform; 2020 Sep; 141():104176. PubMed ID: 32485555
[TBL] [Abstract][Full Text] [Related]
17. [Clinical characteristics and prognosis of acute kidney injury in elderly patients with sepsis].
Wang J; Li J; Wang Y
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2019 Jul; 31(7):837-841. PubMed ID: 31441406
[TBL] [Abstract][Full Text] [Related]
18. [A multicenter confirmatory study about precision and practicability of Sepsis-3].
Hu X; Wu M; Fang Q
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2017 Feb; 29(2):99-105. PubMed ID: 28625254
[TBL] [Abstract][Full Text] [Related]
19. [Prognostic value of coagulation function combined with acute physiology and chronic health evaluation II and sequential organ failure assessment scores for patients with bloodstream infection].
Yang M; Yang X; Jing P; Yang X; Zhao Z
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2021 Dec; 33(12):1434-1439. PubMed ID: 35131009
[TBL] [Abstract][Full Text] [Related]
20. SOFA score is superior to APACHE-II score in predicting the prognosis of critically ill patients with acute kidney injury undergoing continuous renal replacement therapy.
Wang H; Kang X; Shi Y; Bai ZH; Lv JH; Sun JL; Pei HH
Ren Fail; 2020 Nov; 42(1):638-645. PubMed ID: 32660294
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]