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673 related items for PubMed ID: 32275006
1. [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 [Abstract] [Full Text] [Related]
2. [Lactic acid, lactate clearance and procalcitonin in assessing the severity and predicting prognosis in sepsis]. Zhao M, Duan M. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2020 Apr; 32(4):449-453. PubMed ID: 32527351 [Abstract] [Full Text] [Related]
5. [Value of the combination of renal resistive index and central venous pressure to predict septic shock induced acute kidney injury]. Fu Y, He C, Bai Y, Zhang N, Zhao H. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2020 Apr; 32(4):473-477. PubMed ID: 32527356 [Abstract] [Full Text] [Related]
8. [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 [Abstract] [Full Text] [Related]
9. [A model based on random forests in prediction of 28-day prognosis in patients with severe sepsis/septic shock]. Wang Y, Chen S, Hu C, Chen C, Yan J, Cai G. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2017 Dec; 29(12):1071-1076. PubMed ID: 29216938 [Abstract] [Full Text] [Related]
10. [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 [Abstract] [Full Text] [Related]
11. [Predictive value of glycemic variability within 6 hours on the short-term prognosis of patients with septic shock]. Sun C, Zhong B, Shen H, Zhu J. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2021 Jan; 33(1):28-32. PubMed ID: 33565396 [Abstract] [Full Text] [Related]
12. [Combined predictive value of the risk factors influencing the short-term prognosis of sepsis]. Chen R, Zhou X, Rui Q, Wang X. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2020 Mar; 32(3):307-312. PubMed ID: 32385994 [Abstract] [Full Text] [Related]
13. [Establishment of multiple organ dysfunction syndrome early warning score in patients with severe trauma and its clinical significance: a multicenter study]. Huang W, Qin S, Sun Y, Yin S, Fan X, Huang Q, Chen T, Liang H. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2018 Jan; 30(1):41-46. PubMed ID: 29308756 [Abstract] [Full Text] [Related]
14. [A new warning scoring system establishment for prediction of sepsis in patients with trauma in intensive care unit]. Huang Q, Sun Y, Luo L, Meng S, Chen T, Ai S, Jiang D, Liang H. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2019 Apr; 31(4):422-427. PubMed ID: 31109414 [Abstract] [Full Text] [Related]
17. SOFA Score in relation to Sepsis: Clinical Implications in Diagnosis, Treatment, and Prognostic Assessment. Liu C, Suo S, Luo L, Chen X, Ling C, Cao S. Comput Math Methods Med; 2022 Apr; 2022():7870434. PubMed ID: 35991153 [Abstract] [Full Text] [Related]
18. [Risk factors for death and their predictive value on diabetic kidney disease patients in intensive care unit based on MIMIC-III database]. Zhang S, Sun R, Mao Z, Yang H, Liu D, Liu Z. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2020 Sep; 32(9):1085-1090. PubMed ID: 33081895 [Abstract] [Full Text] [Related]
19. [Early diagnostic value of neutrophil gelatinase-associated lipocalin and interleukin-18 in patients with sepsis-induced acute kidney injury]. Zhu L, Shi D. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2016 Aug; 28(8):718-22. PubMed ID: 27434563 [Abstract] [Full Text] [Related]
20. [Risk factors and their predictive value for intensive care unit acquired weakness in patients with sepsis]. Li M, Shao H, Wang C, Chen C, Ye L, Ding M, Ren S, Zhao X, Wang X, Qin B. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2021 Jun; 33(6):648-653. PubMed ID: 34296680 [Abstract] [Full Text] [Related] Page: [Next] [New Search]