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Your search keyword '"Zhou Xinhua."' showing total 488 results
Start Over Author "Zhou Xinhua." Publication Type Academic Journals
488 results on '"Zhou Xinhua."'

39. Effect of central sensitization on postoperative cognitive dysfunction in total knee arthroplasty patients: a retrospective study.

Author

Yang, Qiqi, Li, Chunning, Ye, Min, Zhou, Xinhua, Li, Weiran, and Li, Fei

Subjects
TOTAL knee replacement, MINI-Mental State Examination, KNEE osteoarthritis, CEREBROVASCULAR disease, COGNITION disorders
Abstract

Background: Postoperative cognitive dysfunction (POCD) is a common complication after total knee arthroplasty (TKA), impacting recovery and quality of life. This study aims to investigate central sensitization (CS) as an independent risk factor for POCD to improve preoperative screening and postoperative interventions. Methods: A retrospective analysis was conducted on 142 TKA patients from January 2020 to May 2024 across three hospitals. Data were collected at six time points: preoperatively (T0), intraoperatively (T1), and postoperatively on days 1 (T2), 3 (T3), 7 (T4), and 30 (T5). Patients were classified into CS (CSI ≥ 40) and non-CS (CSI < 40) groups according to Central Sensitization Inventory (CSI) score. Cognitive function and POCD incidence were assessed with the Mini-Mental State Examination (MMSE), and knee recovery with the Knee Injury and Osteoarthritis Outcome Score (KOOS). Logistic regression was used to identified risk factors for POCD. Results: The overall incidence of POCD at T5 was 19.72%, with a significantly higher rate in CS group (30.91%) compared to non-CS group (12.64%) (p = 0.008). MMSE scores declined significantly in both groups at T2 and T3 compared to T0 (p < 0.05), with CS group showing consistently lower scores than non-CS group at T2-T5 (p < 0.05). KOOS scores revealed that CS group had worse pain and quality of life scores at T0, T4, and T5 compared with non-CS group (p < 0.05). Logistic regression revealed that CS, cerebrovascular disease, intraoperative hemorrhage, and preoperative MMSE were associated with the risk of POCD (p < 0.05). Conclusion: CS is a significant risk factor for POCD following TKA, adversely affecting recovery in terms of pain and quality of life. Prospective studies are warranted to validate findings and develop targeted interventions. [ABSTRACT FROM AUTHOR]

Published
2025
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40. Study on Phenotypic Variation in Wild Populations of Prunella vulgaris.

Author

Wu, Xiaoyu, Wang, Shasha, Liu, Fangming, Zhou, Xinhua, Huang, Hui, Yuan, Qiupeng, Miao, Chao, Yang, Yi, Zhong, Wenwen, Hu, Zuwei, Chen, Chen, Zhou, Yaokun, and Li, Zhi

Subjects
PEARSON correlation (Statistics), PRINCIPAL components analysis, PHENOTYPIC plasticity, GERMPLASM, ANALYSIS of variance
Abstract

Objective: This study aimed to clarify the variation law of phenotypic traits such as the stem, leaf, flower, main branch ear and seed of Prunella vulgaris Linnaeus. (P. vulgaris), providing provide basic data support for protecting its wild germplasm resources. The phenotypic traits of stems, leaves, flowers, main branch ears and seeds of different wild populations of P. vulgaris were measured to reveal the phenotypic variation among and within populations of P. vulgaris, and to provide a scientific basis for the protection, utilization and collection of wild P. vulgaris germplasm resources. Methods: Variance analysis, coefficient of variation analysis, multiple comparison analysis, cluster analysis and principal component analysis were used to study the phenotypic traits of nine wild P. vulgaris populations in different regions of China. Results: The average phenotypic differentiation coefficient of nine traits was 52.04%. Inter-population variation was the main source of phenotypic variation of P. vulgaris. The average variation coefficient of each trait in the population was 21.25%, and the variation range was 15.02–28.94%. Pearson correlation analysis showed that there was a strong autocorrelation between phenotypic traits of wild P. vulgaris, and spikes and stems were greatly affected by environmental factors. According to the diameter of the stem and ear, nine wild P. vulgaris from different geographical populations could be divided into three groups. Group III (AHHS, JXFY) had the best phenotypic traits, and the traits of stem height, stem diameter, leaf length, leaf width and main branch ear length were the largest. The contribution rate of the three principal components screened by principal component analysis was 85.78%. Conclusions: We believe that the phenotypic differentiation among wild populations of P. vulgaris is at a medium level, and the variation within the population is smaller than that between populations, which may be an important reason for the sharp decline in the wild resources of P. vulgaris. [ABSTRACT FROM AUTHOR]

Published
2024
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