Signals
From Signals, Virtcr 1995 Interpreting Changes in Viral Load The growing use of plasma HIV1 RNA levels in making treatment decisions has highlighted the need to understand what constitutes a significant change in viral load. Signals spoke with Dr. Mark Holodniy (Director, AIDS Research Center, VA Medical Center, Palo Alto, CA) to better understand the factors that produce changes in viral load and the significance of those changes. "Viral load is now becoming routine in the treatment paradigm," stated Holodniy. "But, when interpreting results, it is important to take into account all the factors that impact viral burden." "In order to understand what qualifies as a significant change in viral load, it is important to recognize the normal variability of the viral load itself and the assay used to measure it," continued Holodniy. "Precision data for the bDNA assay indicates that when monitoring viral load in clinically stable patients, there is approximately a 2-fold (0.3 log) variation in virus levels. This takes into account both the natural variation of viral load in the patient and the variation of the assay." 7,2 Consequently, many researchers, including Holodniy, consider a 3-fold (0.5 log) or greater change in viral load to be significant.' Dr. Holodniy continues, "Cer 1000 E100 > 102 I Il a i. id tiI[l n i U U 0 i I I I I -2 0 2 4 6 8 Weeks of Testing Figure 10. Graph represents simulated administration of flu vaccine on a clinically stable patient. Vaccination may produce a transient rise in viral load that returns to pre-vaccination level within 4-6 weeks. tamo things, such as disease progression and drug resistance perturb stable viral levels. Studies have shown that current antiviral therapies reduce viral burden by as much as 0.5-2 logs." 1,2 When assessing a patient's disease activity and response to antiviral therapy, Holodniy recommends measuring viral, load, "One of the greatest utilities of the bDNA assay is that it provides a tool for individualizing therapy to reduce viral load." "In using viral load to guide treatment decisions, it is crucial to consider not only the things that produce long-term changes in virus levels, but also understand those factors that cause temporary changes in viral load," said Holodniy. "Some vaccines, such as those used for influenza, stimulate viral replication and result in significant transient increases in viral burden." Other researchers report that administration of the influenza vaccine instigates a 4-fold (0.6 log) increase in viral load that peaks 2 weeks post vaccination, with the majority of patients returning to baseline within 4-6 weeks following vaccination. 4-8 Figure 10 simulates a typical change caused by the administration of the flu vaccine in a clinically stable patient with HIV disease. 4-s According to Holodniy, "Similar trends might appear in virus levels following the administration of measles and hepatitis vaccines as well. And data suggests that activation of herpes simplex infection and some opportunistic infections produce similar changes Continued on page 6 VIIRAL LOAD' 'IIN REV 4IEW, FROM ~I J~tiPA 7 years of research have established clinical utility Many of us were cautious when we first heard that virus levels could be used as a marker for HIV disease. We've been disappointed by new assays before, i.e. p24 and beta-2 microglobulin. One thing is now clear-viral load is not p24. In the last two years, there's been a lot of debate about the clinical utility of monitoring viral load. We've learned much from the groundbreaking research by Ho, Mellors, Saag, Shaw, Holodniy, Coombs, and many others. An important point that has been missed in most debates is this-Viral load is not a new concept. Since 1989, laboratory research has consistently proved that patients with lower levels of virus do better than patients with high levels of virus.'2 The thing that is new is this-We now have assays that can consistently and reproducibly quantify viral load. These assays have accelerated our ability to understand the AIDS virus and made it possible to quickly evaluate new antiviral therapies. Monitor viral load to individualize therapy From the perspective of the physician managing therapy, viral load is an excellent marker for HIV disease because viral load: Correlates with disease progression and clinical outcome Changes rapidly with the initiation of effective therapy Measures the underlying process that drives disease pathogenesis-viral replication The majority of doctors-not just those on the cutting edge of AIDS treatment and research-will be monitoring the viral burdens of their HIV patients. In January of this year, the "Consensus Conference on Laboratory Markers in HIV Infection" in Rome3 recommended Monitor the viral load of all patients Initiate therapy when virus levels exceed 10 KEq/mL*, regardless of CD4+ cell counts Monitor virus levels every 3-4 months to identify signs of drug resistance Use alternative therapies when viral burdens return to near baseline levels What still needs to be done Two things need to happen before all patients have access to viral load tests. Private insurers, Medicaid, and Medicare need to acknowledge that viral load is a standard of care in AIDS treatment and then approve reimbursement for these tests. *The FDA has acknowledged the importance of viral load. The agency needs to continue to expedite approval of these viral load assays just as they have expedited the approval of the new protease inhibitors. In the meantime, there is much that can be done. Physicians can start monitoring the viral load of their patients today just as many of you are already doing (Figure 12). The bDNA viral load assay is available through Corning Clinical Laboratories and SmithKline Beecham Laboratories (through special arrangements with the Chiron Reference Testing Lab). Growth in bDNA Testing CASE STUD 1 () 1":i a I. N f ' 1995 bDNA and Drug Resistance 41-year-old telecommunications executive had assumed he was HIV positive since 1985 but had avoided medical care and serological testing. After being successfully treated for PCP, he underwent a thorough baseline evaluation in April, 1991. Treatment history The physical examination disclosed thrush (after having been on antibiotics) and axillary adenopathy. The CD4+ cell count was 146. He also had symptoms of increasing fatigue and unwanted weight loss. In July, 1991, combination therapy with AZT (200 mg 3x daily) and ddC (0.75 mg 3x daily) was started. Within one month, he stated that he felt better than he had for over a year. By October, 1991, his CD4+ cell count had increased to 306. Over the next three years, the patient was gainfully employed with a rigorous work schedule. He remained clinically stable, and his CD4+ cell count was measured every 3-4 months showing little overall change. In July, 1994, he was pleased with his excellent clinical course but concerned about reports regarding AZT resistance. Because he had been on the same drugs for 37 months, he was considering changing his antiviral therapy to another regimen. Without clinical or laboratory indication for change, we decided to continue the present course of therapy. In October, 1994, the first measurement of viral burden by bDNA was obtained with a result of 166 KEq/mL.* Considering his clinical condition, this seemed surprisingly high. A second result of 204 KEq/mL one month later confirmed a high level of virus. In January of 1995, he stopped AZT and ddC and began monotherapy with D4T (40 mg 2x daily). His bDNA level was 212 KEq/mL, and his CD4+ cell count - 700 600 HIV-1 RNA - 5nn was 281. One month later, his viral load dropped 4-fold to 52 KEq/mL, and his CD4+ cell count was 269. Over the next four months, his CD4+ cell count remained stable, and his viral load dropped below 10 KEq/mL. He remains on D4T and PCP prophylaxis, and he continues to be asymptomatic. Dr. Joseph's comments This case is a good example of how an increase in viral load may indicate developing resistance to an antiviral regimen. In this patient, the lack of symptoms and stable CD4+ cell count were encouraging; however, they did not give the full picture. The high viral load signaled developing resistance to AZT and ddC while the CD4+ cell count remained stable. A more rational approach to changing therapy was made with the added information provided by bDNA testing. Once a change in therapy was initiated, viral load was monitored within 4-6 weeks to see the immediate impact of the drug on viral replication. If CD4+ cells alone were monitored, we may have had to wait months to see the drug's impact. This patient's response to D4T followed the course that pre+ vious studies have shown - a 0 4-fold drop in viral load that was associated with a rise in CD4+ cell count. I will continue to measure bDNA levels and CD4+ cell counts every three months throughout the course of this therapy. U) Fz a 0 --- ED E 0iz 3Q '94 4Q '94 1Q '95 2Q'95 3Q'95 4Q'95 Quarter 1000 - _ E 100 -c CE10= CE-" MIN M. Figure 12. Increasing bDNA testing demonstrates acceptance of viral load to evaluate new drugs and monitor therapy. To get reimbursement, physicians can work with their patients to convince the medical directors of HMOs and insurance companies that viral load testing is a medical necessity. You can start by sending them this newsletter. If you'd like extra copies, call 1-800-653-1353, and just tell us how many you need. You can also call the Chiron Reimbursement Service at 1-800-775 -7533. This service has been established to help physicians and their patients get coverage for bDNA testing. We will keep you informed on developments in viral load testing. References: 1 Ho et al. Quantitation of human immunodeficiency virus type 1 in the blood of infected persons. N EnglJ Med 1989; 321:1621-5 2 Coombs et al. Plasma viremia in human immunodeficiency virus infection. N EnglJ Med 1989; 321:1626-32 3 Saag et al. High-level viremia in adults and children infected with human immunodeficiency virus: relation to disease stage and CD4+ lymphocyte levels. J Infect Dis 1991;164:72-80 4 Semple et al. Direct measurement of viraemia in patients infected with HIV-1 and its relationship to disease progression and zidovudine therapy J Med Virol 1991:35:38-45 5 Pachl et al. Quantitative detection of HIV RNA in plasma using a signal amplification probe assay. XXXII Interscience Conference on Antimicrobial Agents and Chemotherapy (ICAAC). Anaheim, October, 1992 8 Mellors & Gupta. Presented at the 9th International Conference on AIDS in Berlin, 1993 7 Vahey et al. Presented at the 10th International Conference on AIDS in Yokohama, August, 1994 8 Cao et al. Virologic and immunologic characterization of long-term survivors of human immunodeficiency virus type 1 infection. N EnglJ Med 1995; 332:201-208. 8 Ho et al. Rapid turnover of plasma virions and CD4 lymphocytes in HIV-1 infection. Nature 1995; 373:123-126 18 Wei et al. Viral dynamics in human immunodeficiency virus type 1 infection. Nature 1995; 373:117-122 1 Jackson et al. Presented at the National Conference on Human Retroviruses, February, 1995 12 Mellors et al. Quantitation of HIV-1 RNA in plasma predicts outcome after seroconversion. Ann Intern Med 1995;122:573-579 13 Aluti, Boucher, Dianzani, Fenyo, Ho, Lane, Lange, Montaner, Pantaleo, Pertin, Romagnani, Saag, Schooley, Vella. Consensus Conference on Laboratory Markers in HIV Infection in Rome, January 16, 1996 14 Third Conference on Retroviruses & Opportunistic Infections, January, 1996 15 Volberding. HIV quantification: clinical applications. Lancet 1996; 347:71-73 - U --------- C04~Cells / II...n... 4/91 7/91 10/91 1/92 10/94 12/94 2/95 Months 4/95 6/95 8/95 Figure 11. bONA levels and CD4+ cell counts were monitored as shown above. The elevated viral load suggested that the patient had developed resistance to antiviral therapy. Following the initiation of new therapy, the viral load decreased significantly and remained stable. *HIV-1 RNA kilo equivalents/milliliter of plasma as measured by branched DNA (bDNA) direct quantification. A kilo equivalent 1,000 molecules of HIV-1 RNA. Signals page 5
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- Signals
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- 1996-03
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"Signals." In the digital collection Jon Cohen AIDS Research Collection. https://name.umdl.umich.edu/5571095.0303.016. University of Michigan Library Digital Collections. Accessed May 10, 2025.