Evidence map›Paper›PMID 30869037›Full record

ArticleEpidemiology and infection2019

Trends of hospitalisations rates in a cohort of HIV-infected persons followed in an Italian hospital from 1998 to 2016.

S Bellino, A Borghetti, F Lombardi, L Camoni, A Ciccullo, G Baldin, S Belmonti, D Moschese, S Lamonica, R Cauda and 2 more

Abstract read
In one paragraph

Article in Epidemiology and infection, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Hospitalization Rates and Outcomes Among Persons Living With Human Immunodeficiency Virus in the Southeastern United States, 1996-2016.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Article
  11. Article
  12. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

S BellinoDepartment of Infectious Diseases,Istituto Superiore di Sanità,Viale Regina Elena 299, 00161 Rome,Italy.
A BorghettiFondazione Policlinico Universitario A. Gemelli IRCCS,Roma Italia, UOC Malattie Infettive.
F LombardiUniversità Cattolica del Sacro Cuore,Roma Italia, Istituto di Clinica Malattie Infettive.ORCID 0000-0001-5757-8346
L CamoniNational Centre of Health Technology Assessment, Istituto Superiore di Sanità,Viale Regina Elena 299, 00161 Rome,Italy.
A CicculloUniversità Cattolica del Sacro Cuore,Roma Italia, Istituto di Clinica Malattie Infettive.
G BaldinUniversità Cattolica del Sacro Cuore,Roma Italia, Istituto di Clinica Malattie Infettive.
S BelmontiUniversità Cattolica del Sacro Cuore,Roma Italia, Istituto di Clinica Malattie Infettive.
D MoscheseUniversità Cattolica del Sacro Cuore,Roma Italia, Istituto di Clinica Malattie Infettive.
S LamonicaFondazione Policlinico Universitario A. Gemelli IRCCS,Roma Italia, UOC Malattie Infettive.
R CaudaFondazione Policlinico Universitario A. Gemelli IRCCS,Roma Italia, UOC Malattie Infettive.
P PezzottiDepartment of Infectious Diseases,Istituto Superiore di Sanità,Viale Regina Elena 299, 00161 Rome,Italy.
S Di GiambenedettoFondazione Policlinico Universitario A. Gemelli IRCCS,Roma Italia, UOC Malattie Infettive.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here we evaluated hospitalisation rates and associated risk factors of human immunodeficiency virus (HIV)-infected individuals who were followed up in an Italian reference hospital from 1998 to 2016. Incidence rates (IR) of hospitalisations were calculated for five study periods from 1998 to 2016. The random-effects Poisson regression model was used to assess risk factors for hospitalisation including demographic and clinical characteristics. To consider that more events may occur for the same subject, multiple failure-time data analysis was also performed for selected causes using the Cox proportional hazards model. We evaluated 2031 patients. During 13 173 person-years (py) of follow-up, 3356 hospital admissions were carried out for 756 patients (IR: 255 per 1000 py). IR decreased significantly over the study period, from 634 in 1998-2000 to 126 per 1000 py in 2013-2016. Major declines were detected for AIDS-defining events, non-HIV/AIDS-related infections and neurological diseases. Older age, female sex, longer HIV duration and HCV coinfection were associated with a higher hospitalisation risk, whereas higher CD4 nadir and antiretroviral therapy were associated with a reduced risk. Influence of advanced HIV disease markers declined over time. Hospitalisation rates decreased during the study period in most causes. The relative weight of hospitalisations for non-AIDS-related tumours, cardiovascular, respiratory and kidney diseases increased during the study period, whereas those for AIDS-defining events declined.

Indexed as

AdultCohort StudiesFemaleHIV InfectionsHospitalizationHospitalsHumansItalyMaleMiddle AgedProportional Hazards ModelsRisk FactorsCauses for hospitalisationcohort studyHIVhospitalisation ratesmultiple failure-time data analysisPoisson regression model

Identifiers

PMID30869037
PMCPMC6518563

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.