Lean Body Mass Predicts Long-Term Survival in Chinese Patients on Peritoneal Dialysis

Huang, Jenq‐Wen; Lien, Yu-Chung; Wu, Hon-Yen; Yen, Chung–Jen; Pan, Chun-Chun; Hung, Tsai-Wei; Su, Chi-Ting; Chiang, Chih‐Kang; Cheng, Hui-Teng; Hung, Kuan‐Yu

doi:10.1371/journal.pone.0054976

Cited by 32 publications

(28 citation statements)

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“…On the other hand, body composition might be more closely associated with prognosis in HD patients. Some studies revealed that a low LBM predicts higher mortality in dialysis patients[6, 13–15]. However, it is difficult to measure LBM accurately.…”

Section: Discussionmentioning

confidence: 99%

“…However, it is difficult to measure LBM accurately. CKM has been validated as a reliable method to estimate LBM and assess protein-energy status in dialysis patients[5, 6, 8]. …”

Section: Discussionmentioning

confidence: 99%

“…In our previous study, LBM measured by CI was a good predictor of long-term survival in Chinese patients on peritoneal dialysis [6]. The creatinine index was also a good predictor of survival in French HD patients[7].…”

Section: Introductionmentioning

confidence: 99%

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A Simpler Creatinine Index Can Predict Long-Term Survival in Chinese Hemodialysis Patients

et al. 2016

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BackgroundLow lean body mass (LBM) is an indicator of malnutrition inflammation syndrome, which is common in hemodialysis (HD) patients. The creatinine index (CI) has been validated as a reliable method to estimate LBM and evaluate the protein-energy status of HD patients. However, the traditional creatinine index formula was complex. We sought to investigate the impact of CI derived from a new simple formula on Chinese HD patient outcomes.MethodsIn this retrospective cohort study, we enrolled 1269 patients who initiated HD between February 1981 and February 2012 and followed them until the end of February 2013. CI was calculated using the simple creatinine kinetic model (CKM) formula. Multiple linear regression analysis and Cox regression proportional hazard analysis were used to define independent variables and compare survival between groups.ResultsThe 1269 HD patients were categorized into 3 groups according to the tertiles of calculated CI between men and women. Each group consisted of 423 patients (50.6% men, 49.4% women). Patients in the highest sex-specific tertile of CI had longer overall survival (HR, 0.46; P 0.002). BMI did not significantly associate with survival after adjustment (HR,0.99; P 0.613).ConclusionsCI derived from the simple CKM formula serves as a good parameter than BMI to predict the survival of HD patients. The formula could extend its convenient use in clinical practice for HD patients.

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Section: Discussionmentioning

confidence: 99%

“…However, it is difficult to measure LBM accurately. CKM has been validated as a reliable method to estimate LBM and assess protein-energy status in dialysis patients[5, 6, 8]. …”

Section: Discussionmentioning

confidence: 99%

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A Simpler Creatinine Index Can Predict Long-Term Survival in Chinese Hemodialysis Patients

et al. 2016

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“…Low lean body mass is associated with increased rates of mortality in patients with heart disease [24], cancer [25], burn injuries [26] and peritoneal dialysis [27]. There is a direct role of skeletal muscle mass in regulating optimal bone “mass” over the course of life [28], and skeletal muscle mass is correlated positively with bone mineral density [29].…”

Section: Importance Of Lean Body Mass and Skeletal Muscle In Health Amentioning

confidence: 99%

Essential amino acid ingestion as an efficient nutritional strategy for the preservation of muscle mass following gastric bypass surgery

2016

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Loss of skeletal muscle in patients that have undergone gastric bypass is a consistent observation. Skeletal muscle constitutes the largest protein/amino acid pool in the body, and loss of skeletal muscle has important implications in health and disease. Sustaining a given level of muscle protein requires a balance between the rates of muscle protein synthesis and breakdown. Current evidence suggests that reduced rate of protein synthesis is implicated in the loss of muscle after gastric bypass. This is not surprising given a less than optimal dietary protein intake following the gastric bypass and because, unlike other macronutrients, protein/amino acids are not stored in the body. Ingesting essential amino acids, which cannot be synthesized de novo and have the primary role in the regulation of muscle protein synthesis, can potentially ameliorate loss of muscle protein after gastric bypass. At the same time, ingestion of essential amino acids provides a more efficient nutritional approach (i.e., greater stimulation of protein synthesis relative to the amount of amino acids ingested) to enhance muscle protein synthesis compared to the ingestion of intact protein in the gastric bypass patient. Changing current dietary practices towards increasing ingestion of essential amino acids provides an approach that can potentially prevent loss of lean body tissue and ultimately achieve a more sustained level of health in patients that have undergone gastric bypass.

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“…Elle est stable dans le temps et corré lé e aux tests d'adé quation selon la fonction ré nale ré siduelle [20][21][22].…”

Section: Crite`res Musculairesunclassified

Les spécificités du soin nutritionnel en dialyse péritonéale

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et al. 2016

Néphrologie & Thérapeutique

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Lean Body Mass Predicts Long-Term Survival in Chinese Patients on Peritoneal Dialysis

Cited by 32 publications

References 17 publications

A Simpler Creatinine Index Can Predict Long-Term Survival in Chinese Hemodialysis Patients

A Simpler Creatinine Index Can Predict Long-Term Survival in Chinese Hemodialysis Patients

Essential amino acid ingestion as an efficient nutritional strategy for the preservation of muscle mass following gastric bypass surgery

Les spécificités du soin nutritionnel en dialyse péritonéale

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