Zhao Q - Search Results

1

Efficacy of High-Flow Nasal Cannula Oxygen Therapy in Patients with Mild Hypercapnia.

Su L, Zhao Q, Liu T, Xu Y, Li W, Zhang A. Su L, et al. Among authors: zhao q. Lung. 2021 Oct;199(5):447-456. doi: 10.1007/s00408-021-00472-4. Epub 2021 Aug 27. Lung. 2021. PMID: 34448939 Free PMC article.

2

Effects of high-flow oxygen therapy on patients with hypoxemia after extubation and predictors of reintubation: a retrospective study based on the MIMIC-IV database.

Liu T, Zhao Q, Du B. Liu T, et al. Among authors: zhao q. BMC Pulm Med. 2021 May 13;21(1):160. doi: 10.1186/s12890-021-01526-2. BMC Pulm Med. 2021. PMID: 33985472 Free PMC article.

3

Correction to: Efects of high-flow oxygen therapy on patients with hypoxemia after extubation and predictors of reintubation: a retrospective study based on the MIMIC-IV database.

Liu T, Zhao Q, Du B. Liu T, et al. Among authors: zhao q. BMC Pulm Med. 2021 Jun 9;21(1):194. doi: 10.1186/s12890-021-01562-y. BMC Pulm Med. 2021. PMID: 34107942 Free PMC article. No abstract available.

4

[Effect of high-flow nasal cannula oxygen on patients with chronic obstructive pulmonary disease and mild hypercapnia: a retrospective cohort study based on the Medical Information Mart for Intensive Care-IV database].

Liu T, Zhao Q, Shi Z, Du B. Liu T, et al. Among authors: zhao q. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2021 Jun;33(6):686-691. doi: 10.3760/cma.j.cn121430-20210219-00258. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2021. PMID: 34296687 Chinese.

5

Early prediction of noninvasive ventilation failure after extubation: development and validation of a machine-learning model.

Wang H, Zhao QY, Luo JC, Liu K, Yu SJ, Ma JF, Luo MH, Hao GW, Su Y, Zhang YJ, Tu GW, Luo Z. Wang H, et al. BMC Pulm Med. 2022 Aug 8;22(1):304. doi: 10.1186/s12890-022-02096-7. BMC Pulm Med. 2022. PMID: 35941641 Free PMC article. Clinical Trial.

6

Evaluation of plasma lactate parameters for predicting mortality of septic patients.

Wang M, Wang Y, Taotao L, Zhao Q, Chao Y. Wang M, et al. Among authors: zhao q. Heliyon. 2022 Dec 10;8(12):e12340. doi: 10.1016/j.heliyon.2022.e12340. eCollection 2022 Dec. Heliyon. 2022. PMID: 36582701 Free PMC article.

7

A Machine-Learning Approach for Dynamic Prediction of Sepsis-Induced Coagulopathy in Critically Ill Patients With Sepsis.

Zhao QY, Liu LP, Luo JC, Luo YW, Wang H, Zhang YJ, Gui R, Tu GW, Luo Z. Zhao QY, et al. Front Med (Lausanne). 2021 Jan 21;7:637434. doi: 10.3389/fmed.2020.637434. eCollection 2020. Front Med (Lausanne). 2021. PMID: 33553224 Free PMC article.

8

Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care Units.

Zhao QY, Wang H, Luo JC, Luo MH, Liu LP, Yu SJ, Liu K, Zhang YJ, Sun P, Tu GW, Luo Z. Zhao QY, et al. Front Med (Lausanne). 2021 May 17;8:676343. doi: 10.3389/fmed.2021.676343. eCollection 2021. Front Med (Lausanne). 2021. PMID: 34079812 Free PMC article.

9

Early prediction of carbapenem-resistant Gram-negative bacterial carriage in intensive care units using machine learning.

Liang Q, Zhao Q, Xu X, Zhou Y, Huang M. Liang Q, et al. Among authors: zhao q. J Glob Antimicrob Resist. 2022 Jun;29:225-231. doi: 10.1016/j.jgar.2022.03.019. Epub 2022 Mar 26. J Glob Antimicrob Resist. 2022. PMID: 35351674 Free article.

10

INFRARED THERMOGRAPHY-BASED BODY-SURFACE THERMAL INHOMOGENEITY MONITORING TO ASSESS THE SEVERITY OF HYPOPERFUSION IN CRITICALLY ILL PATIENTS.

Luo JC, Zhang JD, Zhao QY, Wang H, Tu GW, Luo MH, Huang DL, Zhang JY, Lu W, Gao F, Luo Z. Luo JC, et al. Shock. 2022 Nov 1;58(5):366-373. doi: 10.1097/SHK.0000000000001998. Epub 2022 Sep 27. Shock. 2022. PMID: 36155398

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