Evidence map›Paper›PMID 25769019›Full record

Observational studyAIDS research and human retroviruses2015

Full Viral Suppression, Low-Level Viremia, and Quantifiable Plasma HIV-RNA at the End of Pregnancy in HIV-Infected Women on Antiretroviral Treatment.

Silvia Baroncelli, Maria F Pirillo, Enrica Tamburrini, Giovanni Guaraldi, Carmela Pinnetti, Anna Degli Antoni, Clementina M Galluzzo, Chiara Stentarelli, Roberta Amici, Marco Floridia

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in AIDS research and human retroviruses, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 46% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

10 authors at 5 institutions in 1 country.

Silvia Baroncelli1 Department of Therapeutic Research and Medicines Evaluation, Istituto Superiore di Sanità , Rome, Italy .
Maria F Pirillo1 Department of Therapeutic Research and Medicines Evaluation, Istituto Superiore di Sanità , Rome, Italy .
Enrica Tamburrini2 Department of Infectious Diseases, Catholic University , Rome, Italy .
Giovanni Guaraldi3 Department of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia , Modena, Italy .
Carmela Pinnetti4 I.N.M.I. Lazzaro Spallanzani , Rome, Italy .
Anna Degli Antoni5 Department of Infectious Diseases and Hepatology, Azienda Ospedaliera, Parma, Italy .
Clementina M Galluzzo1 Department of Therapeutic Research and Medicines Evaluation, Istituto Superiore di Sanità , Rome, Italy .
Chiara Stentarelli3 Department of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia , Modena, Italy .
Roberta Amici1 Department of Therapeutic Research and Medicines Evaluation, Istituto Superiore di Sanità , Rome, Italy .
Marco Floridia1 Department of Therapeutic Research and Medicines Evaluation, Istituto Superiore di Sanità , Rome, Italy .
Istituto Superiore di Sanità · ITUniversity of Modena and Reggio Emilia · ITIstituto Nazionale per le Malattie Infettive Lazzaro Spallanzani · ITOspedale di Parma · ITUniversità Cattolica del Sacro Cuore · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is limited information on full viral suppression and low-level HIV-RNA viremia in HIV-infected women at the end of pregnancy. We investigated HIV-RNA levels close to delivery in women on antiretroviral treatment in order to define rates of complete suppression, low-level viremia, and quantifiable HIV-RNA, exploring as potential determinants some clinical and viroimmunological variables. Plasma samples from a national study in Italy, collected between 2003 and 2012, were used. According to plasma HIV-RNA levels, three groups were defined: full suppression (target not detected), low-level viremia (target detected but <37 copies/ml), and quantifiable HIV-RNA (≥37 copies/ml). Multivariable logistic regression was used to define determinants of full viral suppression and of quantifiable HIV-RNA. Among 107 women evaluated at a median gestational age of 35 weeks, 90 (84.1%) had HIV-RNA <37 copies/ml. Most of them (59/90, 65.6%) had full suppression, with the remaining (31/90, 34.4%) showing low-level viremia (median: 11.9 copies/ml; IQR 7.4-16.3). Among the 17 women with quantifiable viral load, median HIV-RNA was 109 copies/ml (IQR 46-251), with only one case showing resistance (mutation M184V; rate: 9.1%). In multivariable analyses, women with higher baseline HIV-RNA levels and with hepatitis C virus (HCV) coinfection were significantly more likely to have quantifiable HIV-RNA in late pregnancy. Full viral suppression was significantly more likely with nonnucleoside reverse transcriptase inhibitor (NNRTI)-based regimens and significantly less likely with higher HIV-RNA in early pregnancy. No cases of HIV transmission occurred. In conclusion, HIV-infected pregnant women showed a high rate of viral suppression and a low resistance rate before delivery. In most cases no target HIV-RNA was detected in plasma, suggesting a low risk of subsequent virological rebound and development of resistance. Women with high levels of HIV-RNA in early pregnancy and those who have concomitant HCV infection should be considered at higher risk of having quantifiable HIV-RNA at the end of pregnancy.

Indexed as

Viral LoadAdultAnti-Retroviral AgentsFemaleHIV InfectionsHumansItalyPlasmaPregnancyPregnancy Complications, InfectiousRNA, ViralViremiaAnti-Retroviral AgentsRNA, Viral

Identifiers

PMID25769019
PMCPMC4505753
OpenAlexW1764561348

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.