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Renal Failure Volume 41, 2019 - Issue 1
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Clinical Study

Evaluation of body composition monitoring for assessment of nutritional status in hemodialysis patients

Haifen ZhangDepartment of Nephrology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; View further author information
,
Xingjuan TaoSchool of Nursing, Shanghai Jiao Tong University, Shanghai, ChinaCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-7954-1760View further author information
ORCID Icon,
Ling ShiDepartment of Nephrology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; View further author information
,
Na JiangDepartment of Nephrology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; View further author information
&
Yan YangDepartment of Nephrology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; View further author information
Pages 377-383 | Received 12 Dec 2018, Accepted 10 Apr 2019, Published online: 06 May 2019

Figures & data

Table 1. Patient characteristics and baseline information.

Table 2. Correlation coefficients of LTI and FTI with serum and anthropometric parameters.

Table 3. Agreement between LTI and SGA regarding the presence of malnutrition.

Figure 1. The Kaplan–Meier survival curves showing 30-month survival for patients in low and normal lean tissue index (LTI) groups. In patients in the low LTI group, mortality increased (n = 123; log-rank χ2=12.11; p=.001).

Figure 1. The Kaplan–Meier survival curves showing 30-month survival for patients in low and normal lean tissue index (LTI) groups. In patients in the low LTI group, mortality increased (n = 123; log-rank χ2=12.11; p=.001).

Figure 2. The Kaplan–Meier survival curves showing 30-month survival for patients in low and normal serum albumin group. In patients in the low serum albumin group, mortality increased (n = 123; log-rank χ2=6.42; p=.01).

Figure 2. The Kaplan–Meier survival curves showing 30-month survival for patients in low and normal serum albumin group. In patients in the low serum albumin group, mortality increased (n = 123; log-rank χ2=6.42; p=.01).

Figure 3. The Kaplan–Meier survival curves showing 30-month survival for patients diagnosed as normal and malnourished by SGA. In patients in the malnutrition group, mortality increased (n = 123; log-rank χ2=4.05; p=.04).

Figure 3. The Kaplan–Meier survival curves showing 30-month survival for patients diagnosed as normal and malnourished by SGA. In patients in the malnutrition group, mortality increased (n = 123; log-rank χ2=4.05; p=.04).

Table 4. Predictors of mortality derived from the Cox regression.

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