CoChat
Sign Up
Cited by 1,331HIV-related health complications and treatmentsHIV/AIDS Research and InterventionsHIV Research and Treatment

The DOI matches its Crossref record; 30 of the 31 references it cites were found in a registry or an index.

. Premature Age-Related Comorbidities Among HIV-Infected Persons Compared with the General Population.

Guaraldi, G., Orlando, G., Zona, S., Menozzi, M., Carli, F., Garlassi, E., Berti, A., Rossi, E., Roverato, A., Palella, F.·2011·Clinical Infectious Diseases
DOI 10.1093/cid/cir627
Open this paper in CoChat — free account

Abstract

BACKGROUND: Human immunodeficiency virus (HIV)-infected patients may have a greater risk of noninfectious comorbidities (NICMs) compared with the general population. We assessed the prevalence and risk factors for NICMs in a large cohort of HIV-infected adults and compared these findings with data from matched control subjects. METHODS: We performed a case-control study involving antiretroviral therapy (ART)-experienced HIV-infected patients treated at Modena University, Italy, from 2002 through 2009. These patients were compared with age-, sex-, and race-matched adults (control subjects) from the general population included in the CINECA ARNO database. NICMs included cardiovascular disease, hypertension, diabetes mellitus, bone fractures, and renal failure. Polypathology (Pp) was defined as the concurrent presence of ≥2 NICMs. Logistic regression models were constructed to evaluate associated predictors of NICMs and Pp. RESULTS: There were 2854 patients and 8562 control subjects. The mean age was 46 years, and 37% were women. Individual NICM and Pp prevalences in each age stratum were higher among patients than among controls (all P <.001). Pp prevalence among patients aged 41-50 years was similar to that among controls aged 51-60 years (P value was not statistically significant); diabetes mellitus, cardiovascular disease, bone fractures, and renal failure were statistically independent after adjustment for sex, age, and hypertension. Logistic regression models showed that independent predictors of Pp in the overall cohort were (all P < .001) age (odds ratio [OR], 1.11), male sex (OR, 1.77), nadir CD4 cell count <200 cells/μL (OR, 4.46), and ART exposure (OR, 1.01). CONCLUSIONS: Specific age-related NICMs and Pp were more common among HIV-infected patients than in the general population. The prevalence of Pp in HIV-infected persons anticipated Pp prevalence observed in the general population among persons who were 10 years older, and HIV-specific cofactors (lower nadir CD4 cell count and more prolonged ART exposure) were identified as risk factors. These data support the need for earlier screening for NICMs in HIV-infected patients.

Overview

Integrity signals

Registry

Crossref · 10.1093/cid/cir627

Cites

30 of 30 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Citations

Cites

Flagged first, then by citations

Show all 31 references

1 of the 31 references couldn’t be matched to a known paper.

Research works printed but not linked: 4

  1. Deeks, 2009, Topics in HIV medicine : a publication of the International AIDS Society, USA, 17, 118
  2. Justice, 2006, Topics in HIV medicine : a publication of the International AIDS Society, USA, 14, 159
  3. 2008, Annals of nutrition & metabolism, 52, 6, 10.1159/000115340 · DOI
  4. 2010, Research initiative, treatment action : RITA, 15, 29

Cited by

Sorted by citations

Items 701–800 of 1,000

Related

See all

Metadata

Authors
Guaraldi, G., Orlando, G., Zona, S., Menozzi, M., Carli, F., Garlassi, E., Berti, A., Rossi, E., Roverato, A., & Palella, F.
Affiliations
  • University of Modena and Reggio Emilia (IT)
  • Cineca (IT)
  • University of Bologna (IT)
  • Northwestern University (US)
ORCID
Venue
Clinical Infectious Diseases
Publisher
Oxford University Press (OUP)
Published
2011-10-13
Volume
53
Issue
11
Pages
1120-1126
ISSN
  • 1058-4838 (ISSN-L)
  • 1537-6591
DOI
10.1093/cid/cir627
OpenAlex
W2135397849
Cited by
1,331
References
31
Citations by year
2026: 63 · 2025: 72 · 2024: 96 · 2023: 84 · 2022: 89 · 2021: 122 · 2020: 119 · 2019: 117 · 2018: 131 · 2017: 100 · 2016: 92 · 2015: 66 · 2014: 79 · 2013: 55 · 2012: 38
FWCI
65.23
Type
journal article
Language
en
Open access
closed
Locations
  • Clinical Infectious Diseases (publishedVersion)
  • PubMed (publishedVersion)
  • Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
  • IRIS UNIMORE (University of Modena and Reggio Emilia) (submittedVersion)
  • Padua Research Archive (University of Padova) (submittedVersion)
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, age-related comorbidities, cardiovascular disease, hypertension, diabetes mellitus, bone fractures, renal failure, antiretroviral therapy, risk factors, comorbidity screening
MeSH terms
Adult, Age Factors, Cardiovascular Diseases, Diabetes Mellitus, Female, Humans, Hypertension, Italy, Male, Middle Aged, Risk Factors, HIV Infections, Comorbidity, Prevalence, Case-Control Studies, Anti-HIV Agents, Antiretroviral Therapy, Highly Active, Fractures, Bone, Renal Insufficiency

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