Effect of Nursing Intervention on Self-Management and Quality of Life in Patients with Chronic Kidney Disease Evaluated by Renal Diffusion Tensor Imaging Features Using Image Registration Algorithm

IF 0.4 4区 化学 Q4 CHEMISTRY, PHYSICAL
Z. Zhou
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Abstract

The aim of this research was to explore the effect of nursing intervention on self-management and quality of life in patients with chronic kidney disease (CKD) by using the renal diffusion tensor imaging (DTI) feature of image registration algorithm. A total of 100 patients with CKD were randomly divided into experimental group (nursing maintenance guidance intervention) and control group (routine nursing), with 50 cases in each group. The image effect before and after registration, self-management behavior after 6 months, quality of life, DTI-related parameters, and renal function indicators were collected and analyzed. The results showed that the images were clearer than those before registration, the self-management ability in the control group (92.81 ± 19.32) was smaller than that in the experimental group (107.12 ± 18.78), the quality of life in the experimental group (121.47 ± 11.21) was greater than that in the control group (104.89 ± 12.11), and the corresponding magnetic resonance apparent diffusion coefficient (ADC) (2.54 ± 0.28) and fractional anisotropy (FA) (0.28 ± 0.07) in the cortex were greater than those in the control group (2.35 ± 0.21, 0.23 ± 0.04). The differences were statistically significant ( P < 0.05 ). The corresponding ADC value (2.32 ± 0.22) and FA value (0.59 ± 0.02) of medulla were greater than those of the control group (2.12 ± 0.24 and 0.41 ± 0.17). The levels of serum creatinine (Scr) (μmol/L) (421.38 ± 42.78) and 24 h urinary protein (24 h-Upro) (mg/d) (1,836.7 ± 545.98) were lower than those of the control group, and the differences had statistical significance ( P < 0.05 ). In summary, the registration algorithm can enhance the effect of image presentation and nursing intervention has positive significance for the self-management and quality of life of patients with CKD.
应用图像配准算法评价肾弥散张量成像特征评价护理干预对慢性肾病患者自我管理和生活质量的影响
本研究旨在利用图像配准算法的肾脏弥散张量成像(DTI)特征,探讨护理干预对慢性肾脏疾病(CKD)患者自我管理和生活质量的影响。将100例CKD患者随机分为实验组(护理维持指导干预)和对照组(常规护理),每组50例。收集并分析挂号前后的影像效果、6个月后的自我管理行为、生活质量、dti相关参数、肾功能指标。结果显示,实验组患者的图像较注册前清晰,自我管理能力(92.81±19.32)小于实验组(107.12±18.78),生活质量(121.47±11.21)大于对照组(104.89±12.11)。相应的皮质磁共振表观扩散系数(ADC)(2.54±0.28)和分数各向异性(FA)(0.28±0.07)均大于对照组(2.35±0.21、0.23±0.04)。差异有统计学意义(P < 0.05)。相应的ADC值(2.32±0.22)和FA值(0.59±0.02)均高于对照组(2.12±0.24和0.41±0.17)。血清肌酐(Scr) (μmol/L)(421.38±42.78)、24 h尿蛋白(24 h- upro) (mg/d)(1836.7±545.98)低于对照组,差异均有统计学意义(P < 0.05)。综上所述,配准算法可以增强图像呈现效果,护理干预对CKD患者的自我管理和生活质量具有积极意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.90
自引率
0.00%
发文量
12
审稿时长
>12 weeks
期刊介绍: Concepts in Magnetic Resonance Part A brings together clinicians, chemists, and physicists involved in the application of magnetic resonance techniques. The journal welcomes contributions predominantly from the fields of magnetic resonance imaging (MRI), nuclear magnetic resonance (NMR), and electron paramagnetic resonance (EPR), but also encourages submissions relating to less common magnetic resonance imaging and analytical methods. Contributors come from academic, governmental, and clinical communities, to disseminate the latest important experimental results from medical, non-medical, and analytical magnetic resonance methods, as well as related computational and theoretical advances. Subject areas include (but are by no means limited to): -Fundamental advances in the understanding of magnetic resonance -Experimental results from magnetic resonance imaging (including MRI and its specialized applications) -Experimental results from magnetic resonance spectroscopy (including NMR, EPR, and their specialized applications) -Computational and theoretical support and prediction for experimental results -Focused reviews providing commentary and discussion on recent results and developments in topical areas of investigation -Reviews of magnetic resonance approaches with a tutorial or educational approach
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