Choueiry Georges, Fattouh Nour, Hallit Rabih, Kazour Francois, Hallit Souheil, Salameh Pascale
Faculty of Pharmacy Lebanese University, Hadath, Lebanon.
Department of Epidemiology & Biostatistics, Faculty of Public Health Lebanese University, Fanar, Lebanon.
Hosp Pharm. 2021 Apr;56(2):102-108. doi: 10.1177/0018578719867664. Epub 2019 Aug 9.
In a hospitalized setting, malnutrition is known to increase patient's mortality and lower the quality of life; therefore, it is essential to detect such cases and intervene at the earliest possible. The goal of this study is to estimate the rate of malnutrition in hospitalized Lebanese patients, explore its association with different factors, and create a simple tool to detect patients at high risk of malnutrition. One hundred and fifty Lebanese hospitalized patients, suffering at least from one chronic disease, were randomly chosen from Centre Hospitalier Universitaire Notre Dame de Secours (CHU-NDS) hospital. The Mini Nutritional Assessment (MNA) score was used to assess nutritional status. A total of 34.7% of patients in our sample were at risk of malnutrition and 9.3% were malnourished. A higher risk of malnutrition was found in patients with a low body mass index, who were physically inactive or admitted to the hospital more than once in the past 6 months. The nutritional status was not associated with certain chronic diseases more than others. We designed a simple decision tree model based only on 3 questions to detect patients at high risk of malnutrition/malnourished. This tool has a sensitivity of 62% and a specificity of 77%. The prevalence found in our study was comparable with previous data. However, factors associated with poor nutritional status were somewhat different. Further studies are needed to validate our screening tool and to examine the effect of specific diseases on malnutrition on a larger scale.
在住院环境中,已知营养不良会增加患者的死亡率并降低生活质量;因此,尽早发现此类病例并进行干预至关重要。本研究的目的是估计黎巴嫩住院患者的营养不良发生率,探讨其与不同因素的关联,并创建一种简单的工具来检测营养不良高风险患者。从圣母救济大学中心医院(CHU-NDS)随机选取了150名至少患有一种慢性病的黎巴嫩住院患者。采用微型营养评定法(MNA)评分来评估营养状况。我们样本中共有34.7%的患者存在营养不良风险,9.3%的患者营养不良。在体重指数较低、身体活动较少或在过去6个月内不止一次入院的患者中,发现营养不良风险更高。营养状况与某些慢性病之间的关联并不比其他慢性病更明显。我们仅基于3个问题设计了一个简单的决策树模型,以检测营养不良/营养不佳的高风险患者。该工具的灵敏度为62%,特异度为77%。我们研究中发现的患病率与先前的数据相当。然而,与营养状况不佳相关的因素略有不同。需要进一步研究来验证我们的筛查工具,并在更大规模上研究特定疾病对营养不良的影响。