Woo J, Chan S M, Mak Y T, Swaminathan R
Department of Medicine, Chinese University of Hong Kong, Shatin, New Territories.
J Clin Pathol. 1989 Dec;42(12):1241-5. doi: 10.1136/jcp.42.12.1241.
A survey of 208 elderly subjects living in four long term care institutions was undertaken over three months to identify nutritional and other variables that could be used to predict mortality during the subsequent three months. There were 58 men (mean age (SD) 75.6 (9.6) years) and 150 women (79.5 (8.4) years). Twenty nine subjects died (12 men and 17 women) within three months of completing the study. Twenty eight out of 57 variables differed significantly between those who died and those who survived. Subjects who died had lower systolic blood pressure, poorer intake of protein calories, lower concentrations of haemoglobin, plasma retinol, zinc, total cholesterol, and higher albumin adjusted plasma calcium concentrations. Stepwise regression analysis identified five variables that predicted mortality: plasma fructosamine; transferrin; glycosylated haemoglobin; prealbumin; and haemoglobin. The sensitivity, specificity, and predictive values of the discriminant function score using 0 as the demarcation between survivors and non-survivors were 75%, 97%, and 95%, respectively. This score could therefore be used to identify those most in need of nutritional support.
在三个月的时间里,对居住在四个长期护理机构的208名老年人进行了一项调查,以确定可用于预测随后三个月死亡率的营养及其他变量。其中有58名男性(平均年龄(标准差)75.6(9.6)岁)和150名女性(79.5(8.4)岁)。在完成研究后的三个月内,有29名受试者死亡(12名男性和17名女性)。在57个变量中,有28个在死亡者和存活者之间存在显著差异。死亡的受试者收缩压较低、蛋白质热量摄入较差、血红蛋白、血浆视黄醇、锌、总胆固醇浓度较低,而白蛋白校正后的血浆钙浓度较高。逐步回归分析确定了五个预测死亡率的变量:血浆果糖胺;转铁蛋白;糖化血红蛋白;前白蛋白;以及血红蛋白。以0作为存活者和非存活者的分界点,判别函数得分的敏感性、特异性和预测值分别为75%、97%和95%。因此,该得分可用于确定那些最需要营养支持之人。