1] Department of Nutrition and Dietetics, The Prince Charles Hospital, Queensland Health, Queensland, Brisbane, Australia [2] Centre for Dietetic Research, School of Human Movement Studies, University of Queensland, Brisbane, Queensland, Australia.
Centre for Dietetic Research, School of Human Movement Studies, University of Queensland, Brisbane, Queensland, Australia.
Eur J Clin Nutr. 2014 Mar;68(3):358-62. doi: 10.1038/ejcn.2013.276. Epub 2014 Jan 8.
BACKGROUND/OBJECTIVES: Differences in malnutrition diagnostic measures impact malnutrition prevalence and outcomes data in hip fracture. This study investigated the concurrent and predictive validity of commonly reported malnutrition diagnostic measures in patients admitted to a metropolitan hospital acute hip fracture unit.
SUBJECTS/METHODS: A prospective, consecutive level II diagnostic accuracy study (n=142; 8 exclusions) including the International Classification of Disease, 10th Revision, Australian Modification (ICD10-AM) protein-energy malnutrition criteria, a body mass index (BMI) <18.5 kg/m(2), the Mini-Nutrition Assessment Short-Form (MNA-SF), pre-operative albumin and geriatrician individualised assessment.
Patients were predominantly elderly (median age 83.5, range 50-100 years), female (68%), multimorbid (median five comorbidities), with 15% 4-month mortality. Malnutrition prevalence was lowest when assessed by BMI (13%), followed by MNA-SF (27%), ICD10-AM (48%), albumin (53%) and geriatrician assessment (55%). Agreement between measures was highest between ICD10-AM and geriatrician assessment (κ=0.61) followed by ICD10-AM and MNA-SF measures (κ=0.34). ICD10-AM diagnosed malnutrition was the only measure associated with 48-h mobilisation (35.0 vs 55.3%; P=0.018). Reduced likelihood of home discharge was predicted by ICD-10-AM (20.6 vs 57.1%; P=0.001) and MNA-SF (18.8 vs 47.8%; P=0.035). Bivariate analysis demonstrated ICD10-AM (relative risk (RR)1.2; 1.05-1.42) and MNA-SF (RR1.2; 1.0-1.5) predicted 4-month mortality. When adjusted for age, usual place of residency, comorbidities and time to surgery only ICD-10AM criteria predicted mortality (odds ratio 3.59; 1.10-11.77). Albumin, BMI and geriatrician assessment demonstrated limited concurrent and predictive validity.
Malnutrition prevalence in hip fracture varies substantially depending on the diagnostic measure applied. ICD-10AM criteria or the MNA-SF should be considered for the diagnosis of protein-energy malnutrition in frail, multi-morbid hip fracture inpatients.
背景/目的:营养不良诊断方法的差异会影响髋部骨折患者的营养不良发生率和结局数据。本研究旨在调查常用于大都市医院急性髋部骨折病房的常用营养不良诊断方法的同时效度和预测效度。
对象/方法:本研究为前瞻性、连续二级诊断准确性研究(n=142;排除 8 例),包括国际疾病分类第 10 版,澳大利亚修正版(ICD10-AM)蛋白能量营养不良标准、体质指数(BMI)<18.5kg/m2、微型营养评估简式(MNA-SF)、术前白蛋白和老年科医生个体化评估。
患者以老年人为主(中位年龄 83.5 岁,范围 50-100 岁),女性(68%),多病共存(中位 5 种合并症),4 个月死亡率为 15%。根据 BMI 评估营养不良的发生率最低(13%),其次是 MNA-SF(27%)、ICD10-AM(48%)、白蛋白(53%)和老年科医生评估(55%)。各项评估之间的一致性以 ICD10-AM 与老年科医生评估之间最高(κ=0.61),其次是 ICD10-AM 与 MNA-SF 之间(κ=0.34)。诊断为营养不良的 ICD10-AM 是唯一与 48 小时内活动相关的评估方法(35.0%与 55.3%;P=0.018)。ICD-10-AM(20.6%与 57.1%;P=0.001)和 MNA-SF(18.8%与 47.8%;P=0.035)预测出院后无法回家的可能性较低。二变量分析表明,ICD10-AM(相对风险(RR)1.2;1.05-1.42)和 MNA-SF(RR1.2;1.0-1.5)预测 4 个月死亡率。在调整年龄、常住地、合并症和手术时间后,只有 ICD-10AM 标准预测死亡率(优势比 3.59;1.10-11.77)。白蛋白、BMI 和老年科医生评估的同时效度和预测效度均有限。
髋部骨折患者的营养不良发生率差异较大,取决于所应用的诊断方法。虚弱、多病共存的髋部骨折住院患者应考虑使用 ICD10-AM 标准或 MNA-SF 来诊断蛋白质-能量营养不良。