The DOI matches its Crossref record; 52 of the 53 references it cites were found in a registry or an index.
. Towards a combined prognostic index for survival in HIV infection: the role of non-HIV biomarkers.
Open accessAbstract
BACKGROUND: As those with HIV infection live longer, 'non-AIDS' condition associated with immunodeficiency and chronic inflammation are more common. We ask whether 'non-HIV' biomarkers improve differentiation of mortality risk among individuals initiating combination antiretroviral therapy (cART). METHODS: Using Poisson models, we analysed data from the Veterans Aging Cohort Study (VACS) on HIV-infected veterans initiating cART between 1 January 1997 and 1 August 2002. Measurements included: HIV biomarkers (CD4 cell count, HIV RNA and AIDS-defining conditions); 'non-HIV' biomarkers (haemoglobin, transaminases, platelets, creatinine, and hepatitis B and C serology); substance abuse or dependence (alcohol or drug); and age. Outcome was all cause mortality. We tested the discrimination (C statistics) of each biomarker group alone and in combination in development and validation data sets, over a range of survival intervals, and adjusting for missing data. RESULTS: Of veterans initiating cART, 9784 (72%) had complete data. Of these, 2566 died. Subjects were middle-aged (median age 45 years), mainly male (98%) and predominantly black (51%). HIV and 'non-HIV' markers were associated with each other (P < 0.0001) and discriminated mortality (C statistics 0.68-0.73); when combined, discrimination improved (P < 0.0001). Discrimination for the VACS Index was greater for shorter survival intervals [30-day C statistic 0.86, 95% confidence interval (CI) 0.80-0.91], but good for intervals of up to 8 years (C statistic 0.73, 95% CI 0.72-0.74). Results were robust to adjustment for missing data. CONCLUSIONS: When added to HIV biomarkers, 'non-HIV' biomarkers improve differentiation of mortality. When evaluated over similar intervals, the VACS Index discriminates as well as other established indices. After further validation, the VACS Index may provide a useful, integrated risk assessment for management and research.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“It includes HIV-1 RNA, CD4 count, hepatitis C co-infection, FIB 4, eGFR, anemia, and age and is substantially more predictive of all causes of mortality than an index restricted to HIV-1 RNA, CD4 count, and age.”
From HIV and Aging: State of Knowledge and Areas of Critical Need for Research. A Report to the NIH Office of AIDS Research by the HIV and Aging Working Group (2012) · cites this paper as [55]
In the citing paper
“However, eGFR can be readily obtained from standard blood chemistry panels and is an important component in multi-variate models of mortality and hospitalization in HIV-infected persons (15, 17, 48, 55).”
From HIV and Aging: State of Knowledge and Areas of Critical Need for Research. A Report to the NIH Office of AIDS Research by the HIV and Aging Working Group (2012) · cites this paper as [55]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Charlson, M. E., Pompei, P., Ales, K. L., & MacKenzie, C. R. (1987) · Journal of Chronic Diseases · doi:10.1016/0021-9681(87)90171-8 · Cited by 49,742
Sterling, R. K., Lissen, E., Clumeck, N., Sola, R., Correa, M. C., Montaner, J., S. Sulkowski, M., Torriani, F. J., Dieterich, D. T., Thomas, D. L., et al. (2006) · Hepatology · doi:10.1002/hep.21178 · Cited by 5,021
Assessing Kidney Function — Measured and Estimated Glomerular Filtration Rate
Stevens, L. A., Coresh, J., Greene, T., & Levey, A. S. (2006) · New England Journal of Medicine · doi:10.1056/nejmra054415 · Cited by 2,952
CD4+ Count–Guided Interruption of Antiretroviral Treatment
The Strategies for Management of Antiretroviral Therapy (SMART) Study Group (2006) · New England Journal of Medicine · doi:10.1056/nejmoa062360 · Cited by 2,250
APACHE—acute physiology and chronic health evaluation: a physiologically based classification system
Knaus, W. A., Zimmerman, J. E., Wagner, D. P., Draper, E. A., & Lawrence, D. E. (1981) · Critical Care Medicine · doi:10.1097/00003246-198108000-00008 · Cited by 2,190
Egger, M., May, M., Chêne, G., Phillips, A. N., Ledergerber, B., Dabis, F., Costagliola, D. G., Monforte, A. D., de Wolf, F., Reiss, P., et al. (2002) · The Lancet · doi:10.1016/s0140-6736(02)09411-4 · Cited by 1,526
Mortality in the Highly Active Antiretroviral Therapy Era
Palella, F. J., Baker, R. K., Moorman, A. C., Chmiel, J. S., Wood, K. C., Brooks, J. T., & Holmberg, S. D. (2006) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/01.qai.0000233310.90484.16 · Cited by 1,362
Assessing the Generalizability of Prognostic Information
Justice, A. C., Covinsky, K. E., & Berlin, J. A. (1999) · Annals of Internal Medicine · doi:10.7326/0003-4819-130-6-199903160-00016 · Cited by 1,160
Bica, I., McGovern, B. G., Dhar, R., Stone, D., McGowan, K., Scheib, R. G., & Snydman, D. R. (2001) · Clinical Infectious Diseases · doi:10.1086/318501 · Cited by 970
. Survival of persons with and without HIV infection in Denmark, 1995-2005.
Lohse, N., Hansen, A.-B. E., Pedersen, G., Kronborg, G., Gerstoft, J., Sørensen, H. T., Væth, M., & Obel, N. (2007) · Annals of Internal Medicine · doi:10.7326/0003-4819-146-2-200701160-00003 · Cited by 748
Regression models for prognostic prediction: advantages, problems, and suggested solutions.
Fe, H., Kl, L., Matchar, D. B., & Ta, R. (1985) · PubMed · Cited by 559
Effros, R. B., Fletcher, C. V., Gebo, K., Halter, J. B., Hazzard, W. R., Horne, F. M., Huebner, R. E., Janoff, E. N., Justice, A. C., Kuritzkes, D., et al. (2008) · Clinical Infectious Diseases · doi:10.1086/590150 · Cited by 539
A Primer and Comparative Review of Major U.S. Mortality Databases
Cowper, D. C., Kubal, J. D., Maynard, C. C., & Hynes, D. M. (2002) · Annals of Epidemiology · doi:10.1016/s1047-2797(01)00285-x · Cited by 486
Lee, K. L., & Mark, D. B. (1996) · Cited by 485
Effros, R. B., Allsopp, R., Chiu, C.-P., Hausner, M. A., Hirji, K., Wang, L., Harley, C. B., Villeponteau, B., West, M. D., & Giorgi, J. V. (1996) · AIDS · doi:10.1097/00002030-199607000-00001 · Cited by 457
Sullivan, P. S., Hanson, D. L., Chu, S. Y., Jones, J. L., Ward, J. W., & the Adult/Adolescent Spectrum of Disease Group (1998) · Blood · doi:10.1182/blood.v91.1.301 · Cited by 432
Considerations in the Evaluation of Surrogate Endpoints in Clinical Trials
Gruttola, V. D., Clax, P. A., DeMets, D. L., Downing, G. J., Ellenberg, S. S., Friedman, L., Gail, M. H., Prentice, R. L., Wittes, J., & Zeger, S. L. (2001) · Controlled Clinical Trials · doi:10.1016/s0197-2456(01)00153-2 · Cited by 428
Mocroft, A., Kirk, O., Barton, S. E., Dietrich, M., Proenca, R., Colebunders, R., Pradier, C., Monforte, A. D., Ledergerber, B., & Lundgren, J. D. (1999) · AIDS · doi:10.1097/00002030-199905280-00010 · Cited by 411
Use of a Self-Report-Generated Charlson Comorbidity Index for Predicting Mortality
Chaudhry, S. I., Jin, L., & Meltzer, D. (2005) · Medical Care · doi:10.1097/01.mlr.0000163658.65008.ec · Cited by 368
Do Patterns of Comorbidity Vary by HIV Status, Age, and HIV Severity?
Goulet, J. L., Fultz, S. L., Rimland, D., Butt, A. A., Gibert, C. L., Rodriguez‐Barradas, M. C., BRYANT, K. J., & Justice, A. C. (2007) · Clinical Infectious Diseases · doi:10.1086/523577 · Cited by 329
Veterans Aging Cohort Study (VACS)
Justice, A. C., Dombrowski, E., Conigliaro, J. C., Fultz, S. L., Gibson, D., Madenwald, T., Goulet, J. L., Simberkoff, M. S., Butt, A. A., Rimland, D., et al. (2006) · Medical Care · doi:10.1097/01.mlr.0000223741.02074.66 · Cited by 322
The Antiretroviral Therapy (ART) Cohort Collaboration (2007) · AIDS · doi:10.1097/qad.0b013e328133f285 · Cited by 292
The role of HIV in serious diseases other than AIDS.
Phillips, A. N., Neaton, J., & Lundgren, J. D. (2008) · AIDS · doi:10.1097/qad.0b013e3283174636 · Cited by 269
Development and Verification of a “Virtual” Cohort Using the National VA Health Information System
Fultz, S. L., Skanderson, M., Mole, L. A., Gandhi, N. R., BRYANT, K. J., Crystal, S., & Justice, A. C. (2006) · Medical Care · doi:10.1097/01.mlr.0000223670.00890.74 · Cited by 257
Chêne, G., Sterne, J. A. C., May, M., Costagliola, D. G., Ledergerber, B., Phillips, A. N., Dabis, F., Lundgren, J. D., Monforte, A. D., de Wolf, F., et al. (2003) · The Lancet · doi:10.1016/s0140-6736(03)14229-8 · Cited by 247
MAY, M. T. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69152-6 · Cited by 226
Mortality for Liver Disease in Patients With HIV Infection: A Cohort Study
Puoti, M., Spinetti, A., Ghezzi, A., Donato, F., Zaltron, S., Putzolu, V., Quirós-Roldán, E., Zanini, B., Casari, S., & Carosi, G. (2000) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/00126334-200007010-00003 · Cited by 224
Krentz, H. B., Kliewer, G., & Gill, M. J. (2005) · HIV Medicine · doi:10.1111/j.1468-1293.2005.00271.x · Cited by 212
Mortality Ascertainment in the Veteran Population: Alternatives to the National Death Index
Fisher, S. G., Weber, L., Goldberg, J., & Davis, F. G. (1995) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a117426 · Cited by 192
Fleming, T. R., Prentice, R. L., PEPE, M. S., & Glidden, D. V. (1994) · Statistics in Medicine · doi:10.1002/sim.4780130906 · Cited by 167
Medical Disease and Alcohol Use Among Veterans With Human Immunodeficiency Infection
Justice, A. C., Lasky, E., McGinnis, K. A., Skanderson, M., Conigliaro, J. C., Fultz, S. L., Crothers, K. A., Rabeneck, L., Rodriguez‐Barradas, M. C., Weissman, S., et al. (2006) · Medical Care · doi:10.1097/01.mlr.0000228003.08925.8c · Cited by 159
The Changing Incidence of AIDS Events in Patients Receiving Highly Active Antiretroviral Therapy
The Antiretroviral Therapy Cohort Collaboration* (2005) · Archives of Internal Medicine · doi:10.1001/archinte.165.4.416 · Cited by 151
Anemia in HIV-Infected Patients Receiving Highly Active Antiretroviral Therapy
Moore, R. D., & Forney, D. (2002) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/00042560-200201010-00007 · Cited by 139
Estimating the proportion of patients infected with HIV who will die of comorbid diseases
Braithwaite, R. S., Justice, A. C., Chang, C. H., Fusco, J. S., Raffanti, S. R., Wong, J. B., & Roberts, M. S. (2005) · The American Journal of Medicine · doi:10.1016/j.amjmed.2004.12.034 · Cited by 136
Performance of prognostic models in critically ill cancer patients – a review
den Boer, S. D., de Keizer, N. D., & de Jonge, E. (2005) · Critical Care · doi:10.1186/cc3765 · Cited by 99
Arabi, Y. M., Shirawi, N., Memish, Z. A., Venkatesh, S., & Al-Shimemeri, A. A. (2003) · Critical Care · doi:10.1186/cc2373 · Cited by 92
Accurate prognostications of death. Opportunities and challenges for clinicians.
Lynn, J., Teno, J. M., & Harrell, F. E. (1995) · PubMed · Cited by 90
Babiker, A. G., Bartlett, J., Breckenridge, A., Collins, G., Coombs, R. W., Cooper, D. A., Creagh, T., Cross, A. P., Daniels, M., Darbyshire, J., et al. (2000) · AIDS Research and Human Retroviruses · doi:10.1089/088922200414965 · Cited by 89
Harris, R., Sterne, J. A. C., Abgrall, S., Dabis, F., Reiss, P., Saag, M. S., Phillips, A. N., Chêne, G., Gill, M. J., Justice, A. C., et al. (2008) · Antiviral Therapy · doi:10.1177/135965350801300802 · Cited by 87
May, M., Royston, P., Egger, M., Justice, A., & Sterne, J. A. C. (2004) · Statistics in Medicine · doi:10.1002/sim.1825 · Cited by 81
Pharmacy benefits management in the Veterans Health Administration: 1995 to 2003.
Sales, M. M., Cunningham, F. E., Glassman, P. A., Valentino, M. A., & Good, C. B. (2005) · PubMed · Cited by 65
Role of Alcohol in Determining Human Immunodeficiency Virus (HIV)-Relevant Outcomes
Conigliaro, J. C., Justice, A. C., Gordon, A. J., & BRYANT, K. J. (2006) · Medical Care · doi:10.1097/01.mlr.0000223659.36369.cf · Cited by 55
HIV-Associated Nephropathy in the Era of Antiretroviral Therapy
Wyatt, C. M., & Klotman, P. E. (2007) · The American Journal of Medicine · doi:10.1016/j.amjmed.2007.01.025 · Cited by 54
Kohli, R., Lo, Y., Howard, A. A., Buono, D. L., Floris-Moore, M., Klein, R. S., & Schoenbaum, E. E. (2005) · Clinical Infectious Diseases · doi:10.1086/432883 · Cited by 54
Staging system for clinical AIDS patients
Mocroft, A., Phillips, A. N., Elford, J., Sabin, C. A., Lipman, M. C. I., Johnson, M. A., Emery, V. C., Lee, C. A., Youle, M. S., Morcinek, J., et al. (1995) · The Lancet · doi:10.1016/s0140-6736(95)92649-6 · Cited by 51
Backus, L. I., Mole, L. A., Chang, S. W., & Deyton, L. (2001) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(01)00442-5 · Cited by 50
Render, M. L., Welsh, D. E., Kollef, M. H., Lott, J. H., Hui, S. L., Weinberger, M., Tsevat, J., Hayward, R. A., & Hofer, T. P. (2000) · Critical Care Medicine · doi:10.1097/00003246-200010000-00033 · Cited by 34
Review: Kidney Disease in the HIV-Infected Patient
Fine, D. M., & Atta, M. G. (2007) · AIDS Patient Care and STDs · doi:10.1089/apc.2006.0210 · Cited by 31
(1984) · KARGER eBooks · doi:10.1159/isbn.978-3-318-00048-1 · Cited by 16
Justice, A. C. (1996) · ScholarlyCommons (University of Pennsylvania) · Cited by 2
Harrell, F., Jr. (1996) · doi:10.1002/(sici)1097-0258(19960229)15:4
Research works printed but not linked: 3
- Centers for Disease Control., 1987, Revision of the CDC surveillance case definition for acquired immunodeficiency syndrome, Morbid Mortal Wkly Rep, 36, 82
- JusticeAC WagnerJH FuscoGPet al. HIV survival: liver function tests independently predict survival.14th International AIDS Conference Barcelona Spain July 2002.
- Effros RB, 2008, Aging and infectious diseases, what is known and future research directions, 47, 542
Cited by
Sorted by citations
Morbidity and Aging in HIV-Infected Persons: The Swiss HIV Cohort Study
Hasse, B. K., Ledergerber, B., Furrer, H., Battegay, M., Hirschel, B. J., Cavassini, M. L., Bertisch, B., Bernasconi, E., Weber, R. K., & Study, T. S. H. C. (2011) · Clinical Infectious Diseases · doi:10.1093/cid/cir626 · Cited by 608
May, M., Gompels, M. M., Delpech, V., Porter, K., Orkin, C. M., Kegg, S., Hay, P., Johnson, M. A., Palfreeman, A., Gilson, R. J. C., et al. (2014) · AIDS · doi:10.1097/qad.0000000000000243 · Cited by 621
High, K. P., Brennan-Ing, M., Clifford, D. B., Cohen, M. H., Currier, J., Deeks, S. G., Deren, S., Effros, R. B., Gebo, K., Goronzy, J. J., et al. (2012) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0b013e31825a3668 · Cited by 522
Self-citationHIV and Inflammation: Mechanisms and Consequences
Hunt, P. W. (2012) · Current HIV/AIDS Reports · doi:10.1007/s11904-012-0118-8 · Cited by 431
HIV and aging: time for a new paradigm.
Justice, A. C. (2010) · Current HIV/AIDS Reports · doi:10.1007/s11904-010-0041-9 · Cited by 309
Self-citation
Metadata
- Authors
- Justice, A., McGinnis, K., Skanderson, M., Chang, C., Gibert, C., Goetz, M., Rimland, D., Rodriguez‐Barradas, M., Oursler, K., Brown, S., Braithwaite, R., May, M., Covinsky, K., Roberts, M., Fultz, S., Bryant, K., & for the VACS Project Team
- Affiliations
- University of Pittsburgh (US)
- VA Pittsburgh Healthcare System (US)
- George Washington University (US)
- Emory University (US)
- Michael E. DeBakey VA Medical Center (US)
- University of Maryland, Baltimore (US)
- James J. Peters VA Medical Center (US)
- University of Bristol (GB)
- San Francisco VA Medical Center (US)
- United States Department of Veterans Affairs (US)
- VA Connecticut Healthcare System (US)
- ORCID
- Venue
- HIV Medicine
- Publisher
- Wiley
- Published
- 2010-01-04
- Volume
- 11
- Issue
- 2
- Pages
- 143-151
- ISSN
- 1464-2662 (ISSN-L)
- 1468-1293
- PMC
- PMC3077949
- OpenAlex
- W2007359807
- Cited by
- 159
- References
- 53
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 4 · 2023: 3 · 2022: 7 · 2021: 4 · 2020: 7 · 2019: 6 · 2018: 10 · 2017: 11 · 2016: 18 · 2015: 19 · 2014: 10 · 2013: 25 · 2012: 15
- FWCI
- 10.85
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- HIV Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Bristol Research (University of Bristol) (submittedVersion)
- Funders
- National Institute on Alcohol Abuse and Alcoholism (U10AA013566, 2U10 AA13566)
- National Institute on Aging (K23AG024896)
- Topics
- Health Sciences › Medicine › Infectious Diseases › HIV-related health complications and treatments
- Health Sciences › Medicine › Infectious Diseases › HIV/AIDS Research and Interventions
- Life Sciences › Immunology and Microbiology › Virology › HIV Research and Treatment
- Keywords
- HIV infection, prognostic score, mortality risk, highly active antiretroviral therapy, veterans, all-cause mortality, CD4 count, HIV RNA, chronic inflammation, substance abuse, risk stratification
- MeSH terms
- Aged, Anemia, Cause of Death, Drug Therapy, Combination, Female, Hepatitis, Viral, Human, Humans, Liver Cirrhosis, Male, Middle Aged, RNA, Viral, Severity of Illness Index, Cohort Studies, Biomarkers, HIV Infections, Confidence Intervals, Survival Analysis, AIDS-Related Opportunistic Infections, Disease Progression, CD4 Lymphocyte Count, Anti-HIV Agents, Substance-Related Disorders, HIV Long-Term Survivors
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review