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ArticleMediterranean journal of hematology and infectious diseases2019

Is it Safe and Cost Saving to Defer the CD4+ Cell Count Monitoring in Stable Patients on Art with More than 350 or 500 cells/μl?

Benedetto Maurizio Celesia, Andrea Marino, Rosa Fontana Del Vecchio, Roberto Bruno, Filippo Palermo, Maria Gussio, Giuseppe Nunnari, Bruno Cacopardo

Open access · goldAbstract read
In one paragraph

Article in Mediterranean journal of hematology and infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  3. Review
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  5. Navigating the Nexus: HIV and Breast Cancer-A Critical Review.International journal of molecular sciences · 2024
    Review
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  7. Article
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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

8 authors at 3 institutions in 1 country.

Benedetto Maurizio CelesiaDivision of Infectious Diseases, Department of Clinical and Experimental Medicine, ARNAS Garibaldi Hospital, University of Catania, Catania, Italy.
Andrea MarinoDivision of Infectious Diseases, Department of Clinical and Experimental Medicine, ARNAS Garibaldi Hospital, University of Catania, Catania, Italy.
Rosa Fontana Del VecchioDivision of Infectious Diseases, Department of Clinical and Experimental Medicine, ARNAS Garibaldi Hospital, University of Catania, Catania, Italy.
Roberto BrunoDivision of Infectious Diseases, Department of Clinical and Experimental Medicine, ARNAS Garibaldi Hospital, University of Catania, Catania, Italy.
Filippo PalermoDivision of Infectious Diseases, Department of Clinical and Experimental Medicine, ARNAS Garibaldi Hospital, University of Catania, Catania, Italy.
Maria GussioDivision of Infectious Diseases, Department of Clinical and Experimental Medicine, ARNAS Garibaldi Hospital, University of Catania, Catania, Italy.
Giuseppe NunnariDepartment of Clinical and Experimental Medicine, Unit of Infectious Diseases, University of Messina, Messina, Italy.
Bruno CacopardoDivision of Infectious Diseases, Department of Clinical and Experimental Medicine, ARNAS Garibaldi Hospital, University of Catania, Catania, Italy.
University of Catania · ITOspedale Garibaldi · ITUniversity of Messina · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCD4+ lymphocyte cell count represents the main immunological marker used to monitor HIV infection. However, frequent monitoring may be unnecessary, could cause anxiety to the patient as well as burdening healthcare with extra expenses. OBJECTIVES AND

methodsA two-step retrospective (safety and cost-saving) analysis was performed to evaluate the probability of maintaining a safe number of more than 350 CD4+ cells/μl in HIV-positive subjects under treatment during a three-year follow up and secondarily to estimate in

resultsIn the safety analysis, 253 subjects were enrolled. The median CD4+ count was 623 (489-805) cells/μl. Subjects maintaining ≥ 350 cells/μl in the first, second, and third year were respectively 238 (94.1%), 229 (90.5%), and 226 (89.3%), independently from VL. Within subjects with ≥ 350 CD4+/μl vs. ≥ 500 CD4+/μl at baseline, those who maintained ≥ 350 cells/μl until the third year were respectively 241 (95.3%) and 158 (98.1%). The probability of maintaining these values in the third year was 89.3% for those who had CD4+ ≥ 350/μl at baseline and 98.1% for those who had CD4+ ≥ 500/μl. This probability was around 90% vs. 99% for subjects with HIV-RNA above or below 20 copies/ml. In the real-life cost saving analysis, we evaluated subjects with a stable value or more than 500 CD4+ (respectively 343, 364 and 383 in the first, second and third period). We observed mean value of about two determinations patient/year (2.41 in 2013/2014; 2.32 in 2014/2015; 2.18 in 2015/2016), with a significant decrease between the first and the last period (p<0.001). The mean cost patient/year was €101.51 in the first year, €97.61 in the second, €92.00 in the third (p<0,001). Assuming to extend these procedures to all our patients with stable CD4+ cells/μl and monitoring CD4+ cell count once in a year, we were able to obtain an overall saving of €19,152/year.

conclusionsA very high percentage of subjects maintained a high and safe number of CD4+ cells (>350 cells/μl) during a three-year follow-up. It could be possible to save up to 66% of the costs by reducing the number of CD4+ count determinations in a year, to have other favorable consequences as well, releasing new resources for patient management.

Indexed as

CD4 monitoringHIVSaving analysisSaving cost

Identifiers

PMID31700588
PMCPMC6827605
OpenAlexW2984718568

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.