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"The Path of a Pandemic" http://www.newsweek.com/id/195692
Swine Influenza Virus: Zoonotic Potential and Vaccination Strategies for the Control of Avian and Swine Influenzas
Eileen Thacker and Bruce Janke
Last year researchers from Iowa State University in Ames warned that pigs located in industrial-scale farms were being subjected to influenza infections from farm poultry, wild birds and their human handlers. Writing in The Journal of Infectious Diseases, Eileen Thacker and Bruce Janke said, "As a result of the constantly changing genetic makeup of individual influenza viruses in pigs, the U.S. swine industry is continually scrambling to respond to the influenza viruses circulating within individual production systems."

1 February 2007

Volume 195, Number 3
The Journal of Infectious Diseases 2007;195:425–431
0022-1899/2007/19503-0017$15.00
DOI: 10.1086/510536
MAJOR ARTICLE

Absolute Count and Percentage of CD4+ Lymphocytes Are Independent Predictors of Disease Progression in HIV‐Infected Persons Initiating Highly Active Antiretroviral Therapy

Todd Hulgan,1,2,4

Bryan E. Shepherd,3

Stephen P. Raffanti,1,4

Jennifer S. Fusco,5

Robin Beckerman,6

Gema Barkanic,1 and

Timothy R. Sterling1,2

1Department of Medicine, Division of Infectious Diseases, 2Center for Health Services Research, and 3Department of Biostatistics, Vanderbilt University School of Medicine, and 4Comprehensive Care Center, Nashville, Tennessee; 5EpiQuest Sciences, Inc., Durham, North Carolina, and 6Durham, North Carolina

Background.Highly active antiretroviral therapy (HAART) is recommended when the absolute CD4+ T lymphocyte count is <200 cells/mm3, and it should be considered when that count is 200, although the optimal timing when it is 200 is unclear. Because preliminary data had suggested that a low CD4+ T lymphocyte percentage (%CD4) is associated with disease progression in persons initiating HAART who have a higher absolute CD4, we sought to further characterize the predictive utility of %CD4.

Methods.We conducted an observational study of persons in Collaborations in HIV Outcomes Research/US cohort who initiated their first HAART regimen between 1997 and 2004, received 30 days of therapy, and had baseline values of absolute CD4, %CD4, and HIV‐1 RNA. Cox proportional‐hazards models determined associations between %CD4 and disease progression (to either a new AIDS‐defining event [ADE] or death).

Results.Of 1891 persons, 11% were female and 18% were African American; the median age was 38 years. Median follow‐up was 55 months (interquartile range, 23–83 months), and 468 (25%) had disease progression. Multivariable analysis including age, race, sex, HIV‐1 RNA, prior antiretroviral therapy, probable route of infection, prior ADE, absolute CD4, and %CD4 was performed; prior ART ( ), injection‐drug use ( ), lower absolute CD4 ( ), and lower %CD4 ( ) predicted disease progression.

Conclusions.%CD4 at initiation of the first HAART regimen predicted disease progression independent of absolute CD4; %CD4 may be used to determine the timing of HAART.

Received 2 June 2006; accepted 15 September 2006; electronically published 21 December 2006.

Reprints or correspondence: Dr. Todd Hulgan, Div. of Infectious Diseases, Vanderbilt University School of Medicine, 345 24th Ave. N, Ste. 105, Nashville, TN 37203 ().

Cited by

Rami Kantor, Lameck Diero, Allison DeLong, Lydia Kamle, Sarah Muyonga, Fidelis Mambo, Eunice Walumbe, Wilfred Emonyi, Philip Chan, E. Jane Carter, Joseph Hogan, and Nathan Buziba. (2009) Misclassification of First‐Line Antiretroviral Treatment Failure Based on Immunological Monitoring of HIV Infection in Resource‐Limited Settings. Clinical Infectious Diseases 49:3, 454-462
Online publication date: 1-Aug-2009.
Martin S. Hirsch. (2008) Initiating Therapy: When to Start, What to Use. The Journal of Infectious Diseases 197:s3, S252-S260
Online publication date: 15-May-2008.
Bryan E. Shepherd. (2008) The cost of checking proportional hazards. Statistics in Medicine 27:8, 1248-1260
Online publication date: 15-May-2008.
CrossRef
Edward Stenehjem, Judith C Shlay. (2008) Sex-specific differences in treatment outcomes for patients with HIV and AIDS. Expert Review of Pharmacoeconomics & Outcomes Research 8:1, 51-63
Online publication date: 1-Mar-2008.
CrossRef
Yao-Nan Wang, Yuejun Kang, Dongyan Xu, Chan Hee Chon, Louise Barnett, Spyros A. Kalams, Deyu Li, Dongqing Li. (2008) On-chip counting the number and the percentage of CD4+ T lymphocytes. Lab on a Chip 8:2, 309
Online publication date: 1-Feb-2008.
CrossRef
  • Potential conflicts of interest: S.P.R. serves on the CHORUS advisory board; J.S.F. and R.B. were employees of GlaxoSmithKline (GSK) at the time the study was performed. Neither the funding agencies nor GSK were involved in study design, data analysis or interpretation, or drafting of the manuscript.

    Financial support: National Institutes of Health (NIH; grant K23 AT002508‐01 to T.H. and grant K24 AI065298 to T.R.S.); Vanderbilt‐Meharry Center for AIDS Research (NIH program P30 AI 54999).

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