Presented at the Society for Academic Emergency Medicine annual meeting, Phoenix, AZ, June 2010.
Absolute Lymphocyte Count in the Emergency Department Predicts a Low CD4 Count in Admitted HIV-positive Patients
Article first published online: 15 APR 2011
© 2011 by the Society for Academic Emergency Medicine
Academic Emergency Medicine
Volume 18, Issue 4, pages 385–389, April 2011
How to Cite
Napoli, A. M., Fischer, C. M., Pines, J. M., Soe-lin, H., Goyal, M. and Milzman, D. (2011), Absolute Lymphocyte Count in the Emergency Department Predicts a Low CD4 Count in Admitted HIV-positive Patients. Academic Emergency Medicine, 18: 385–389. doi: 10.1111/j.1553-2712.2011.01031.x
The authors have no relevant financial information or potential conflicts of interest to disclose.
Supervising Editor: Richard E. Rothman, MD, PhD.
- Issue published online: 15 APR 2011
- Article first published online: 15 APR 2011
- Received March 25, 2010; revisions received July 29 and August 17, 2010; accepted September 18, 2010.
Vol. 18, Issue 5, 565, Article first published online: 13 MAY 2011
ACADEMIC EMERGENCY MEDICINE 2011; 18:385–389 © 2011 by the Society for Academic Emergency Medicine
Objectives: This study sought to determine if the automated absolute lymphocyte count (ALC) predicts a “low” (<200 × 106 cells/μL) CD4 count in patients with known human immunodeficiency virus (HIV+) who are admitted to the hospital from the emergency department (ED).
Methods: This retrospective cohort study over an 8-year period was performed in a single, urban academic tertiary care hospital with over 85,000 annual ED visits. Included were patients who were known to be HIV+ and admitted from the ED, who had an ALC measured in the ED and a CD4 count measured within 24 hours of admission. Back-translated means and confidence intervals (CIs) were used to describe CD4 and ALC levels. The primary outcome was to determine the utility of an ALC threshold for predicting a CD4 count of <200 × 106 cells/μL by assessing the strength of association between log-transformed ALC and CD4 counts using a Pearson correlation coefficient. In addition, area under the receiver operator curve (AUC) and a decision plot analysis were used to calculate the sensitivity, specificity, and the positive and negative likelihood ratios to identify prespecified optimal clinical thresholds of a likelihood ratio of <0.1 and >10.
Results: A total of 866 patients (mean age 42 years, 40% female) met inclusion criteria. The transformed means (95% CIs) for CD4 and ALC were 34 (31–38) and 654 (618–691), respectively. There was a significant relationship between the two measures, r = 0.74 (95% CI = 0.71 to 0.77, p < 0.01). The AUC was 0.92 (95% CI = 0.90 to 0.94, p < 0.001). An ALC of <1700 × 106 cells/μL had a sensitivity of 95% (95% CI = 93% to 96%), specificity of 52% (95% CI = 43% to 62%), and negative likelihood ratio of 0.09 (95% CI = 0.05 to 0.2) for a CD4 count of <200 × 106 cells/μL. An ALC of <950 × 106 cells/μL has a sensitivity of 76% (95% CI = 73% to 79%), specificity of 93% (95% CI = 87% to 96%), and positive likelihood ratio of 10.1 (95% CI = 8.2 to 14) for a CD4 count of <200 × 106 cells/μL.
Conclusions: Absolute lymphocyte count was predictive of a CD4 count of <200 × 106 cells/μL in HIV+ patients who present to the ED, necessitating hospital admission. A CD4 count of <200 × 106 cells/μL is very likely if the ED ALC is <950 × 106 cells/μL and less likely if the ALC is >1,700 × 106 cells/μL. Depending on pretest probability, clinical use of this relationship may help emergency physicians predict the likelihood of susceptibility to opportunistic infections and may help identify patients who should receive definitive CD4 testing.