PMID- 8102852
OWN - NLM
STAT- MEDLINE
DCOM- 19930927
LR  - 20190718
IS  - 0269-9370 (Print)
IS  - 0269-9370 (Linking)
VI  - 7
IP  - 7
DP  - 1993 Jul
TI  - Prediction of CD4 count from CD4 percentage: experience from three laboratories.
PG  - 933-40
AB  - OBJECTIVE: CD4 counts have been used to monitor progression of disease in HIV 
      infection as criteria for initiation of therapy, and to stratify and follow 
      patients in clinical trials. Recently, the Centers for Disease Control and 
      Prevention (CDC) has made CD4 counts part of the classification of HIV disease. 
      Because a CD4 percentage may be the only laboratory information available, this 
      study was initiated to determine whether the correlation between CD4 percentages 
      and CD4 counts is sufficiently high to enable these measures to be substituted 
      for each other. DESIGN, SETTING AND PATIENTS: One thousand consecutive CD4 
      measurements from the University of Washington (UW) were used to create a model 
      that was tested using datasets of 1000 CD4 measurements each from Maryland 
      Medical Laboratories (MML) and Rush-Presbyterian-St Luke's Medical Center (Rush). 
      The patients were not selected for age, sex, risk group or treatment. All 
      patients from MML and Rush were known to be HIV-positive, while the HIV status of 
      all UW patients was unknown. RESULTS: The model predicted that a patient with a 
      CD4 percentage > or = 14% would have a CD4 count > or = 200 x 10(6)/l(if CD4 
      percentage of 14% was used, 9% of patients would have a CD4 count > or = 200 x 
      10(6)/l), and a patient with a CD4 percentage > or = 27% would have a CD4 count > 
      or = 500 x 10(6)/l(if CD4 percentage of 27% was used, 17% of patients would have 
      a CD4 count > or = 500 x 10(6)/l). CONCLUSIONS: These CD4 percentage correlations 
      may be useful when a white blood cell and lymphocyte count are not available to 
      calculate the CD4 count.
FAU - Kidd, P G
AU  - Kidd PG
AD  - Department of Laboratory Medicine, University of Washington, Seattle 98195.
FAU - Cheng, S C
AU  - Cheng SC
FAU - Paxton, H
AU  - Paxton H
FAU - Landay, A
AU  - Landay A
FAU - Gelman, R
AU  - Gelman R
LA  - eng
GR  - AI-95030/AI/NIAID NIH HHS/United States
PT  - Comparative Study
PT  - Journal Article
PT  - Research Support, U.S. Gov't, P.H.S.
PL  - England
TA  - AIDS
JT  - AIDS (London, England)
JID - 8710219
SB  - IM
MH  - CD4-Positive T-Lymphocytes/*cytology
MH  - HIV Seropositivity/*immunology
MH  - Humans
MH  - Laboratories
MH  - Leukocyte Count/*methods
MH  - *Models, Biological
EDAT- 1993/07/01 00:00
MHDA- 1993/07/01 00:01
CRDT- 1993/07/01 00:00
PHST- 1993/07/01 00:00 [pubmed]
PHST- 1993/07/01 00:01 [medline]
PHST- 1993/07/01 00:00 [entrez]
AID - 10.1097/00002030-199307000-00005 [doi]
PST - ppublish
SO  - AIDS. 1993 Jul;7(7):933-40. doi: 10.1097/00002030-199307000-00005.