391 related articles for article (PubMed ID: 34955125)
1. [Analysis of clinical features and risk factors for mortality in patients with culture-negative sepsis: a single-center retrospective cohort study based on MIMIC-IV].
Ou Q; Cai G; Zhou Y; Wen M
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2021 Oct; 33(10):1181-1186. PubMed ID: 34955125
[TBL] [Abstract][Full Text] [Related]
2. [Comparison of the predictive value of the Oxford acute severity of illness score and simplified acute physiology score II for in-hospital mortality in intensive care unit patients with sepsis: an analysis based on MIMIC-IV database].
Luo C; Gu H; Jin Y; Liu B
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2022 Apr; 34(4):352-356. PubMed ID: 35692197
[TBL] [Abstract][Full Text] [Related]
3. [Time-related association between fluid balance and prognosis in sepsis patients: a cohort study based on MIMIC-IV database].
Huang R; Dong Y; Zhou Y; Zhang L; Xiong J; Fu J
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Nov; 35(11):1182-1187. PubMed ID: 37987129
[TBL] [Abstract][Full Text] [Related]
4. [Monocyte/lymphocyte ratio as a predictor of 30-day mortality and adverse events in critically ill patients: analysis of the MIMIC-III database].
Li Y; Liu Y; Zhou C; Zhang Z; Zuo X; Li J; Cao Q
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2021 May; 33(5):582-586. PubMed ID: 34112297
[TBL] [Abstract][Full Text] [Related]
5. [Prognostic value of Charlson weighted index of comorbidities combined with sequential organ failure assessment score and procalcitonin in patients with sepsis].
Zhang X; Wang Q; Luo X; Lei Y; Huang X
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2019 Nov; 31(11):1335-1339. PubMed ID: 31898562
[TBL] [Abstract][Full Text] [Related]
6. [Clinical predictive value of short-term dynamic changes in platelet counts for prognosis of sepsis patients in intensive care unit: a retrospective cohort study in adults].
Zhou Z; Xie Y; Feng T; Zhang X; Zhang Y; Jin W; Tian R; Wang R
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2020 Mar; 32(3):301-306. PubMed ID: 32385993
[TBL] [Abstract][Full Text] [Related]
7. [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]
8. [Association between levels of thyroid-stimulating hormone and prognosis of patients admitted to intensive care units: an analysis using the MIMIC-III].
Guo Z; Chen J; Xu J; Zhong H; Chen R
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2022 Jan; 34(1):75-79. PubMed ID: 35307065
[TBL] [Abstract][Full Text] [Related]
9. [Association between early central venous pressure measurement and mortality in patients with sepsis: a data analysis of MIMIC-III database].
Chen H; Gong S; Shang X; Yu R
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2021 Jul; 33(7):786-791. PubMed ID: 34412745
[TBL] [Abstract][Full Text] [Related]
10. [A 180-day mortality predictive score based on frailty syndrome in elderly patients with sepsis: a Logistic regression analysis model].
Dong J; Wang L; Xiong R; Liu X; Guo Z; Sun W; Chen R
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2021 Mar; 33(3):257-262. PubMed ID: 33834964
[TBL] [Abstract][Full Text] [Related]
11. [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]
12. [Analysis of death risk factors for nosocomial infection patients in an ICU: a retrospective review of 864 patients from 2009 to 2015].
Wang J; Gao P; Guo S; Liu Y; Shao L; Kang H; Zhang J; Liu S; Gao X; Cui Z
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2016 Aug; 28(8):704-8. PubMed ID: 27434560
[TBL] [Abstract][Full Text] [Related]
13. [Efficacy and safety of stress ulcer prophylaxis in septic patients: a retrospective cohort study based on large database].
Huang M; Kuang L; Han M; Han W
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2021 Jun; 33(6):641-647. PubMed ID: 34296679
[TBL] [Abstract][Full Text] [Related]
14. [Combined prognostic value of serum lactic acid, procalcitonin and severity score for short-term prognosis of septic shock patients].
Hao C; Hu Q; Zhu L; Xu H; Zhang Y
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2021 Mar; 33(3):281-285. PubMed ID: 33834968
[TBL] [Abstract][Full Text] [Related]
15. [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]
16. [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
[TBL] [Abstract][Full Text] [Related]
17. [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
[TBL] [Abstract][Full Text] [Related]
18. [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
[TBL] [Abstract][Full Text] [Related]
19. [Predictive value of SOFA score combined AGI grading system in elderly patients with sepsis: a retrospective analysis with 91 patients].
Wang L; Chen R; Mo Z; Dong J; Sun Z; Xiao F; Hu S; Xiong R; Sun J; Yu Z; Guo Z
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2017 Feb; 29(2):145-149. PubMed ID: 28625262
[TBL] [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
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]