Wu TT - Search Results

1

Trajectory and determinants of intensive care unit-acquired weakness in critical illness: A multicentre, prospective, longitudinal study.

Chen XX, Xiong J, Chen JX, Luo CJ, Zhuang YN, Xu ML, Li H, Wu TT. Chen XX, et al. Among authors: wu tt. Nurs Crit Care. 2024 Dec 4. doi: 10.1111/nicc.13209. Online ahead of print. Nurs Crit Care. 2024. PMID: 39632248

2

Continuous cadmium exposure from weaning to maturity induces downregulation of ovarian follicle development-related SCF/c-kit gene expression and the corresponding changes of DNA methylation/microRNA pattern.

Weng S, Wang W, Li Y, Li H, Lu X, Xiao S, Wu T, Xie M, Zhang W. Weng S, et al. Toxicol Lett. 2014 Mar 21;225(3):367-77. doi: 10.1016/j.toxlet.2014.01.012. Epub 2014 Jan 21. Toxicol Lett. 2014. PMID: 24462979

3

Characteristics and outcomes of in-hospital cardiac arrest in adults hospitalized with acute coronary syndrome in China.

Li H, Wu TT, Liu PC, Liu XS, Mu Y, Guo YS, Chen Y, Xiao LP, Huang JF. Li H, et al. Among authors: wu tt. Am J Emerg Med. 2019 Jul;37(7):1301-1306. doi: 10.1016/j.ajem.2018.10.003. Epub 2018 Oct 5. Am J Emerg Med. 2019. PMID: 30401593

4

Decision tree model for predicting in-hospital cardiac arrest among patients admitted with acute coronary syndrome.

Li H, Wu TT, Yang DL, Guo YS, Liu PC, Chen Y, Xiao LP. Li H, et al. Among authors: wu tt. Clin Cardiol. 2019 Nov;42(11):1087-1093. doi: 10.1002/clc.23255. Epub 2019 Sep 11. Clin Cardiol. 2019. PMID: 31509271 Free PMC article.

5

Machine learning for early prediction of in-hospital cardiac arrest in patients with acute coronary syndromes.

Wu TT, Lin XQ, Mu Y, Li H, Guo YS. Wu TT, et al. Clin Cardiol. 2021 Mar;44(3):349-356. doi: 10.1002/clc.23541. Epub 2021 Feb 14. Clin Cardiol. 2021. PMID: 33586214 Free PMC article.

6

Development and validation of a nomogram to predict in-hospital cardiac arrest among patients admitted with acute coronary syndrome.

Wu TT, Yang DL, Li H, Guo YS. Wu TT, et al. Am J Emerg Med. 2021 Nov;49:240-248. doi: 10.1016/j.ajem.2021.05.082. Epub 2021 Jun 6. Am J Emerg Med. 2021. PMID: 34153931

7

A machine learning model to predict critical care outcomes in patient with chest pain visiting the emergency department.

Wu TT, Zheng RF, Lin ZZ, Gong HR, Li H. Wu TT, et al. BMC Emerg Med. 2021 Oct 7;21(1):112. doi: 10.1186/s12873-021-00501-8. BMC Emerg Med. 2021. PMID: 34620086 Free PMC article.

8

Logistic regression technique is comparable to complex machine learning algorithms in predicting cognitive impairment related to post intensive care syndrome.

Wu T, Wei Y, Wu J, Yi B, Li H. Wu T, et al. Sci Rep. 2023 Feb 11;13(1):2485. doi: 10.1038/s41598-023-28421-6. Sci Rep. 2023. PMID: 36774378 Free PMC article.

9

Effects of a multilevel intervention of resistance training with or without beta-hydroxy-beta-methylbutyrate in medical ICU patients during entire hospitalisation: a four-arm multicentre randomised controlled trial.

Wu TT, Chen QL, Lin XX, Xu ML, Chen XX, Luo CJ, Zhuang YN, Wei YQ, Wu JB, Xiong J, Chen LL, Li H. Wu TT, et al. Among authors: wu jb. Crit Care. 2023 Dec 15;27(1):493. doi: 10.1186/s13054-023-04698-x. Crit Care. 2023. PMID: 38102705 Free PMC article. Clinical Trial.

10

Resistance training combined with β-hydroxy β-methylbutyrate for patients with critical illness: A four-arm, mixed-methods, feasibility randomised controlled trial.

Wu TT, Li CX, Zhuang YN, Luo CJ, Chen JM, Li Y, Xiong J, Jin S, Li H. Wu TT, et al. Intensive Crit Care Nurs. 2024 Jun;82:103616. doi: 10.1016/j.iccn.2023.103616. Epub 2024 Jan 20. Intensive Crit Care Nurs. 2024. PMID: 38246040 Clinical Trial.

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