rss
J Clin Pathol 1989;42:1241-1245 doi:10.1136/jcp.42.12.1241
  • Research Article

Biochemical predictors of short term mortality in elderly residents of chronic care institutions.

  1. J Woo,
  2. S M Chan,
  3. Y T Mak,
  4. R Swaminathan
  1. Department of Medicine, Chinese University of Hong Kong, Shatin, New Territories.

      Abstract

      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.

      Latest from JCP Education

      Latest from JCP Education

      Register for free content


      Free sample
      This recent issue is free to all users to allow everyone the opportunity to see the full scope and typical content of JCP.
      View free sample issue >>

      Free archive
      The full back archive is now available for JCP. Institutional subscribers may access the entire archive as part of their subscription. Personal subscribers will also have access to all content when logged in. Non-subscribers who register have free access to all articles published before 2006, back to volume 1 issue 1.
      Register to access the free archive >>

      Don't forget to sign up for content alerts so you keep up to date with all the articles as they are published.

    • Latest Pathology jobs

      Latest Pathology jobs