Volume 20 Issue 2
Feb.  2022
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Article Navigation >  Chinese Journal of General Practice  > 2022  >  20(2): 186-189
TANG Ai-jie, NIU Shu-zhen, LIU Yi-fan, WANG Wen-qing, YANG Hong-yan, DAI Xiu-juan, WU Qian. Analysis of the influencing factors of neurological improvement in acute ischemic stroke on the basis of propensity score matching[J]. Chinese Journal of General Practice, 2022, 20(2): 186-189. doi: 10.16766/j.cnki.issn.1674-4152.002308
Citation: TANG Ai-jie, NIU Shu-zhen, LIU Yi-fan, WANG Wen-qing, YANG Hong-yan, DAI Xiu-juan, WU Qian. Analysis of the influencing factors of neurological improvement in acute ischemic stroke on the basis of propensity score matching[J]. Chinese Journal of General Practice, 2022, 20(2): 186-189. doi: 10.16766/j.cnki.issn.1674-4152.002308
shu

Analysis of the influencing factors of neurological improvement in acute ischemic stroke on the basis of propensity score matching

doi: 10.16766/j.cnki.issn.1674-4152.002308
  • 1.

    School of Medicine, Tongji University, Shanghai 200092, China

Funds:

 71704135

  • Received Date: 2021-01-27
    Available Online: 2022-03-04
    Abstract
  •   Objective  To explore the factors influencing the improvement of neurological function in patients with acute ischemic stroke (AIS).  Methods  A total of 247 patients with first ischemic stroke from June 2019 to June 2020 in Shanghai Tenth People's Hospital were selected as the research objects, and the patients were divided into the non-significantly improved group (< 46%) and significantly improved group (≥ 46%) according to the percentage reduction in National Institutes of Health Stroke Scale (NIHSS) at discharge. The 1∶ 1 propensity score matching method was used to control the general data of patients the admission NIHSS score, and logistic regression was used for matched patients to analyse the influencing factors of neurological function improvement.  Results  Before matching, MBI (Z=2.030, P=0.042), mRs (Z=2.996, P=0.003), admission NIHSS score (Z=2.501, P=0.012), sleep duration (χ2=9.486, P=0.009) and cognitive impairment (χ2=31.598, P < 0.001) showed a statistically significant difference between both groups. After matching, sleep duration (χ2=8.161, P=0.017), diabetes (χ2=6.092, P=0.014) and cognitive impairment (χ2=21.066, P < 0.001) showed a statistically significant difference between both groups. After matching, the variables (diabetes, sleep duration, cognitive impairment) with P < 0.1 in the comparison between both groups were entered into logistic regression analysis. Results showed that sleep duration (OR=1.667, 95% CI: 1.043-2.664, P=0.033) and MoCA (OR=4.697, 95% CI: 1.973-11.185, P < 0.001) were risk factors affecting the improvement of neurological function.  Conclusion  Shorter sleep duration and early cognitive dysfunction after stroke have an adverse effect on the short-term prognosis of AIS.

     

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