肝硬化患者营养不良评估中不同工具的有效性。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Gokulapriya Ramachandran M.Sc, MPhil , Biju Pottakkat MS, MCh , Pazhanivel Mohan MD, DM , Sharbari Basu MD
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引用次数: 0

摘要

目的:我们旨在使用传统的营养评估方法,如体重指数(BMI)、中臂围(MAC)、肱三头肌皮肤皱褶厚度(TSF)、中臂肌围(MAMC)、手握力(HGS)和主观全面评估(SGA),评估转诊接受肝移植(LT)的肝硬化患者中营养不良的发生率:研究对象为一家三级医院中转诊接受肝移植的 215 名肝硬化患者。患者登记时间为 2021 年 7 月至 2022 年 10 月,目的是评估营养不良的发生率。对患者的详细人口统计学资料、临床病史、使用干重计算的体重指数、MAMC、HGS、SGA评分和疾病严重程度进行了评估:结果:慢性酒精中毒是肝硬化的主要致病因素,其次是病毒感染。根据 SGA,58% 的肝硬化患者存在中度至重度营养不良,根据体重指数,12% 的患者存在营养不良,91% 的患者存在低 MAC,94% 的患者存在低 HGS/肌力,这表明患者存在营养不良。低 MAC(p=0.048)和 SGA(p=0.000)与 CTP - B 级和 C 级相关,低 MAC(p=0.046)、低 TSF(p=0.005)和 SGA(p=0.000)与 MELD Na 评分 >15 相关。低 MAC(P= 0.011)和 SGA(P=0.000)与死亡率有关,尽管 78% 的患者的 MAC 在正常范围内。营养不良与并发症、肝病严重程度和死亡之间存在密切联系:在慢性肝病患者中,SGA能很好地预测营养不良,这可能是因为SGA分析了慢性肝病患者可能受到影响的各个领域。及早评估营养不良有助于启动适当的医学营养疗法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effectiveness of different tools for malnutrition in the assessment of patients with cirrhosis

Background

We aimed to evaluate the prevalence of malnutrition using traditional measures of nutritional assessments like body mass index (BMI), mid-arm circumference (MAC), triceps skin fold thickness (TSF), mid-arm muscle circumference (MAMC), hand grip strength (HGS) and subjective global assessments (SGA) among cirrhotic patients referred for liver transplantation (LT).

Methods

The study was conducted among 215 cirrhotic patients referred for LT at a tertiary care hospital. Patients were enrolled between July 2021 and October 2022 to assess the prevalence of malnutrition. Patient's demographic details, clinical history, BMI using dry weight, MAMC, HGS, SGA score and disease severity were assessed.

Results

Chronic alcoholism was the main causative factor for cirrhosis, followed by viral infection. 58% of cirrhotic patients were moderately to severely malnourished based on SGA, 12% were undernourished based on BMI, 91% had low MAC, and 94% had low HGS/muscle strength indicating malnutrition. Low MAC (p = 0.048) and SGA (p = 0.000) were associated with CTP – B and C class, and low MAC (p = 0.046), low TSF (p = 0.005), and SGA (p = 0.000), were associated with MELD Na score >15. Low MAC (p = 0.011) and SGA (P = 0.000) were associated with mortality, although 78% of patients had MAC within the normal range. A strong association exists between malnutrition and complications, liver disease severity, and death.

Conclusion

In patients with chronic liver diseases, SGA performed well as a good predictor of malnutrition, this might be because SGA analyzes various domains which can be affected in chronic liver disease. Assessing malnutrition early may help in initiating appropriate medical nutritional therapy.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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