Influencing factors of phase angle and prediction of clinical outcome in patients with non-dialysis chronic kidney disease
Monographic Reports: Nutritional intervention for chronic diseases|更新时间:2026-01-09
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Influencing factors of phase angle and prediction of clinical outcome in patients with non-dialysis chronic kidney disease
Journal of Army Medical UniversityVol. 45, Issue 15, Pages: 1589-1595(2023)
作者机构:
1.430030 武汉,华中科技大学同济医学院附属同济医院: 临床营养科
2.430030 武汉,华中科技大学同济医学院附属同济医院: 肾病内科
作者简介:
基金信息:
the General Program of National Natural Science Foundation of China(82170701);the General Program of National Natural Science Foundation of China(81974087)
Yanchao GUO, Tiantian YUE, Zhongcai WU, et al. Influencing factors of phase angle and prediction of clinical outcome in patients with non-dialysis chronic kidney disease[J]. Journal of Army Medical University, 2023, 45(15): 1589-1595.
DOI:
Yanchao GUO, Tiantian YUE, Zhongcai WU, et al. Influencing factors of phase angle and prediction of clinical outcome in patients with non-dialysis chronic kidney disease[J]. Journal of Army Medical University, 2023, 45(15): 1589-1595. DOI: 10.16016/j.2097-0927.202305014.
Influencing factors of phase angle and prediction of clinical outcome in patients with non-dialysis chronic kidney disease
To investigate the influencing factors of phase angle (PhA) and its predictive ability of clinical outcome in patients with non-dialysis chronic kidney disease (CKD).
Methods
2
Sixty patients with non-dialysis CKD admitted to Department of Nephrology of Tongji Hospital from January to November 2019 were recruited in this study. All of them received hematuria biochemical test
nutritional risk screening and assessment
SF-36 quality of life survey
anthropometry
grip strength test and body composition detection. According to their PhA
they were divided into group A (PhA>4.5°) and group B (PhA≤4.5°)
with 30 cases in each group. The correlation of phase angle with nutrition
inflammation
disease
moisture and other related indicators was analyzed
and the main influencing factors of PhA were analyzed with stepwise multiple linear regression analysis. Follow-up was conducted for 3 to 4 years to compare the survival of patients between the 2 groups.
Results
2
The blood total protein (TP)
albumin (ALB)
prealbumin (PAB)
life quality score and grip strength were significantly better in group A than group B (
P
<
0.05). The high-sensitive C-reactive protei
n (CRP)
total cholesterol (TC)
low density lipoprotein (LDL)
total 24h urinary protein (UTP)
total 24h urinary albumin (UMA)
urinary albumin creatinine ratio (ACR)
modified SGA score and extracellular water (ECW/TBW) ratio were obviously lower in group A than group B (
P
<
0.05). Correlation analysis showed that TP
ALB and PAB were positively correlated with PhA (
P
<
0.05)
and CRP
TC
LDL
UMA
modified SGA score and ECW/TBW ratio were negatively correlated with PhA (
P
<
0.05). Stepwise multiple linear regression analysis indicated that that ECW/TBW ratio was an independent factor affecting PhA. The mortality rate was high in group B (20.00%
6/30) than group A (6.67%
2/30) during follow-up. Cox regression survival analysis suggested that age and PhA were the main factors affecting the survival of non-dialysis CKD patients. The older the age
the higher the risk of death
with the risk of death being increased to 2.605 times for every 1° reduction of PhA.
Conclusion
2
In non-dialysis CKD patients
ECW/TBW ratio is an independent factor affecting PhA
and PhA is negatively correlated to ECW/TBW ratio. PhA can well predict the survival of these patients. And the smaller the phase angle is
the higher the mortality rate.
关键词
Keywords
references
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