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Dynamic symptom network structure and core symptom identification in patients with end⁃stage kidney disease before and after dialysis
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Cailian WANG1, Shoulin ZHU1, Lejiao HUANG1, Hanyue ZENG2, Yinsen PENG3, Yun LI4, Shifang MAO4
Chinese Nursing Research | 2026, 40(18) : 3199 - 3205
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Chinese Nursing Research | 2026, 40(18): 3199-3205
• Original Articles •
Dynamic symptom network structure and core symptom identification in patients with end⁃stage kidney disease before and after dialysis
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Cailian WANG1, Shoulin ZHU1, Lejiao HUANG1, Hanyue ZENG2, Yinsen PENG3, Yun LI4, Shifang MAO4
Affiliations
  • 1School of Nursing, Southwest Medical University, Sichuan 646000 China
  • 2West China Second University Hospital, Sichuan University
  • 3West China Hospital, Sichuan University
  • 4Affiliated Hospital of Southwest Medical University
Published: 2026-09-25 doi: 10.12102/j.issn.1009-6493.2026.18.007
Outline
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Objective

To construct symptom networks in patients with end⁃stage kidney disease before and after dialysis and to explore the dynamic interactions among different symptoms over time.

Methods

A total of 299 patients undergoing initial hemodialysis treatment at a tertiary grade A hospital in Sichuan province were selected as the study subjects from November 2024 to September 2025.Patients were surveyed using a self⁃designed general demographic questionnaire and an adapted version of the Dialysis Symptom Assessment Scale.A cross⁃lagged network model was employed to identify dynamic interactions among 18 symptoms over time.

Results

The forward time⁃lagged correlation was sleep difficulty→itching(β=0.33).The backward time⁃lagged correlation was fatigue or lack of energy→sleep difficulty(β=-0.22).Sleep difficulty reported the greatest out⁃predictability(0.265),in⁃predictability(0.233),out⁃strength(1.498),and in⁃strength(1.591).

Conclusions

Sleep difficulty was identified as the core symptom of the dynamic network model of symptom before and after dialysis in patients with end⁃stage renal disease.Strategies to alleviate sleep difficulty should be incorporated into multimodal interventions for end⁃stage kidney disease.

end⁃stage kidney disease  /  hemodialysis  /  symptom network  /  core symptom  /  network analysis
王彩莲, 朱守淋, 黄乐娇, 曾晗月, 彭寅森, 李韵, 毛世芳. 终末期肾病病人透析前后症状动态网络结构及核心症状识别. 护理研究, 2026 , 40 (18) : 3199 -3205 . DOI: 10.12102/j.issn.1009-6493.2026.18.007
Cailian WANG, Shoulin ZHU, Lejiao HUANG, Hanyue ZENG, Yinsen PENG, Yun LI, Shifang MAO. Dynamic symptom network structure and core symptom identification in patients with end⁃stage kidney disease before and after dialysis[J]. Chinese Nursing Research, 2026 , 40 (18) : 3199 -3205 . DOI: 10.12102/j.issn.1009-6493.2026.18.007
Year 2026 volume 40 Issue 18
56
23
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Article Info
doi: 10.12102/j.issn.1009-6493.2026.18.007
  • Receive Date:2025-12-22
  • Online Date:2026-10-29
  • Published:2026-09-25
Article Data
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History
  • Received:2025-12-22
  • Revised:2026-08-10
Affiliations
    1School of Nursing, Southwest Medical University, Sichuan 646000 China
    2West China Second University Hospital, Sichuan University
    3West China Hospital, Sichuan University
    4Affiliated Hospital of Southwest Medical University
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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