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Screening for Latent Tuberculosis Infection in People Living with HIV: TUBHIVIT Project, a Multicentre Italian Study

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Abstract
Background: The coexistence of HIV infection and latent tuberculosis infection (LTBI) presents a significant public health concern due to the increased risk of tuberculosis (TB) reactivation and progression to active disease. The multicenter observational cohort study, TUBHIVIT, conducted in Italy from 2017 to 2023, aimed to assess the prevalence of LTBI among people living with HIV (PLHIV) and their outcomes following LTBI screening and therapy initiation. Methods: We performed a prospective study in 5 referral centers for HIV care in Italy. PLHIV who consented to participate underwent QuantiFERON-TB Gold Plus and clinical, microbiological, and radiological assessments to exclude subclinical tuberculosis, as opportune. PLHIV diagnosed with LTBI that started chemoprophylaxis were followed until the ending of therapy. Results: A total of 1105 PLHIV were screened for LTBI using the QuantiFERON-TB Gold Plus test, revealing a prevalence of 3.4% of positive results (38/1105). Non-Italy-born individuals exhibited a significantly higher likelihood of testing positive. Thirty-one were diagnosed with LTBI, 1 showed active subclinical TB, 6 were lost to follow-up before discriminating between latent and active TB. Among PLHIV diagnosed with LTBI, 83.9% (26/31) started chemoprophylaxis. Most individuals received 6-9 months of isoniazid-based therapy. Of the 26 PLHIV commencing chemoprophylaxis, 18 (69.2%) completed the therapy, while 3 discontinued it and 5 were still on treatment at the time of the analysis. Adverse events were observed in two cases, while in one case the patient refused to continue the treatment.
Keywords: 
Subject: Medicine and Pharmacology  -   Epidemiology and Infectious Diseases

1. Introduction

Tuberculosis (TB) is one of the leading causes of morbidity and mortality among people living with HIV (PLHIV) worldwide [1]. World Health Organization (WHO) guidelines recommend regular screening for active and latent TB infection (LTBI) in all PLHIV, including those on ART, using a combination of clinical assessment, symptom screening, and diagnostic tests as appropriate [1]. Furthermore, WHO guidelines also recommend treatment of latent infection to reduce the risk of progression to active disease irrespective of the degree of immunosuppression. PLHIV are more vulnerable to TB infection due to their compromised immune systems and are at increased risk of TB reactivation compared to the HIV-negative population [1]. Various screening methods can be used in PLHIV, including symptom-based screening, c-reactive protein, tuberculin skin testing (TST), interferon-gamma release assays (IGRAs), and chest X-rays. Compared to the TST, the IGRA test is not positive in vaccinated people and has a higher sensitivity in patients with lower CD4 counts and greater specificity in those from areas with a low incidence of TB [2]. In asymptomatic PLHIV, with a positive result for TST or IGRAs, and negative medical history for previous TB treatment or previous Bacillus Calmette–Guérin vaccination, a subclinical TB should be excluded by chest X-rays or CT, and microscopic and molecular examination of sputum, as opportune [3]. In fact, LTBI is defined as a state of persistent immune response to stimulation by Mycobacterium tuberculosis antigens with no evidence of clinically manifest active TB [1]. If active TB is excluded, therapy for LTBI should be initiated. In Italy, three regimens for latent TB are usually considered: 4 months of once-daily rifampin, 3 months of once-daily isoniazid plus rifampin, or isoniazid administered once daily for 6 or 9 months. Although rifampin would be the drug of choice given the known activity on dormant cells independent of the cell cycle, less toxicity, and more adherence due to short regimen duration [4], its use is severely limited by pharmacological interactions, especially in PLHIV on antiretroviral therapy [5]. In addition, isoniazid and rifampin can cause hepatotoxicity, then a chemistry follow-up is necessary. These factors limit the clinician in initiating therapy for LTBI, and there is no common consensus in screening and treating PLHIV for LTBI, despite WHO recommendations, as emerged in a previous Italian survey regarding newly diagnosed PLHIV [6]. In Italy, few data are published about the prevalence of active and LTBI [6,7]. Italy is considered a low TB incidence country, with an estimated 4000 new cases per year (< 10 per 100,000 inhabitants) and 7.5 new cases per 100,000 inhabitants from 2011 to 4 new cases per 100,000 inhabitants in 2020 [7]. In Sicily, 5239 admissions for TB occurred over the years 2009–2021, and 2.8% of them regarded PLHIV. In addition, HIV was an independent predictor of mortality [8]. However, no data were reported for LTBI [8]. Our study aims to describe the prevalence of LTBI in PLHIV and their management in a multicentre cohort of PLHIV.

2. Materials and Methods

The TUBHIVIT project is a multicenter observational cohort study initiated in 2019. The study aims to gather data on the prevalence of LTBI among PLHIV in the participating Italian Infectious Disease centers from 2017 to 2023. Additionally, PLHIV who have initiated treatment for LTBI are prospectively follows. These centers adhere to the recommendations outlined international guidelines [5], typically offering screening to PLHIV, often at the time of HIV diagnosis using intradermal testing according to the Mantoux method (considering an induration >5mm as positive) or the QuantiFERON test. In individuals testing positive on QuantiFERON, a chest X-ray or CT scan and sputum smear microscopy are typically conducted to rule out subclinical TB. All PLHIV attending the HIV outpatient clinic in the centers from December 2017 until December 2023 were eligible for screening, except those who were currently being investigated or treated for active TB and PLHIV who ever received treatment for suspected or confirmed TB. Inclusion criteria encompass PLHIV aged over 18 years who consented to participate and underwent screening for LTBI using interferon-gamma release assays (IGRA). QuantiFERON-TB Gold Plus (QFT) was the IGRA test used. Retrospective data collected from December 1, 2017, until the start of the study were incorporated. Clinical data, collected by case report form, include demographic information such as sex, age, ethnicity, comorbidities (up to three per patient), and whether they are men who have sex with men, as well as alcohol use and drug use. Laboratory data comprise the most recent previous CD4+ T cell count and nadir CD4+ T cell count for all screened PLHIV. Additionally, ART history, aspartate aminotransferase (AST), alanine aminotransferase (ALT), and bilirubin levels were recorded at baseline and prospectively collected biweekly for the first month and then monthly in those who initiated therapy for LTBI. Adverse events (AEs) are prospectively collected upon clinical observation. Reasons for failure to initiate therapy and failure to complete therapy are also documented.

Statistical Analysis

Data were described using mean and standard deviation (SD) for normally distributed continuous variables, median, and interquartile range (IQR) for not normally distributed continuous variables, and frequency (%) for categorical and ordinal variables. Distribution normality was assessed using the graphical quantile-quantile method. Baseline differences were tested using the analysis of variance for means, the non-parametric Mann-Whitney test for medians, and proportion comparisons were performed using the chi-square test.

3. Results

The study included 1105 PLHIV who underwent TB screening, all via the IGRA test. The contribution of each single Centre is depicted in Figure 1.
Over half (75.2%) of the cohort were men and 18.3% were non-Italy-born PLHIV. Absolute frequencies of the country of origin are visually represented in Figure 2.
The median age of the participants was 49 years (IQR 40-56), with a median CD4 cells count of 618 cells/μl (IQR 426-840). Among them, 11.4% reported drug addiction, 24.8% were men who have sex with men (MSM), and 4.1% exhibited alcohol abuse. The diagnosis of HIV infection had been made a median of 7.2 years earlier (IQR 2.3-17.3), and 27.7% of the screened PLHIV had at least one comorbidity, predominantly cardiovascular diseases (22.0%). The QFT TB Gold Plus test resulted in 1056 negative results, 38 positive results (prevalence 3.4%), and 11 indeterminate results (1.0%). Of the latter, only 1 had a CD4 cells count < 200. A comparison of demographic and clinical characteristics between those with positive results suggestive of latent tuberculosis infection (LTBI) and those with negative results is presented in Table 1.
One individual was found to have active subclinical TB disease during clinical and radiological assessment. Six PLHIV with positive results were lost to follow-up before discriminating the type of TB (latent of active infection), then 31 PLHIV out of 1087 people who completed the screening (2.8%) showed latent tuberculosis. Non-Italy-born individuals were significantly more likely to test positive for IGRA (6.15% versus 2.13%, p = 0.002), with the majority of those testing positive originating from Africa (7/12, 58.3%). Sex and age were similar between PLHIV with positive and negative results, while the proportion of PLHIV with negative results showed a higher prevalence of comorbidities, and a lower prevalence of drug addiction, although without significant differences. Alcoholism was significantly associated with LTBI (16.1% vs. 3.8%, p = 0.001). Among the 31 PLHIV diagnosed with LTBI, one was lost to follow-up after diagnosis, and one deceased during the hospital stay that led to LTBI diagnosis, while chemoprophylaxis was recommended for 28 of the remaining individuals. Of these, 26 agreed to start chemoprophylaxis immediately, while two opted to commence treatment for LTBI in the future. The process of LTBI screening is visualized in Figure 3 via a Sankey plot.
Among remaining PLHIV with LTBI (n=29), 16 were on tenofovir alafenamide (TAF)-based regimens, 1 was on a tenofovir disoproxil fumarate (TDF)-based regimen, and 12 were on tenofovir-free regimens. Specifically, 22 were on integrase strand transfer inhibitor (INSTI)-based regimens, 3 were on protease inhibitor (PI)-based regimens, 2 were on PI and INSTI-based regimens, 1 was on a combined regimen with non-nucleoside reverse transcriptase inhibitor (NNRTI) and INSTI, and 1 was on an NNRTI-based regimen. The majority of LTBI therapy consisted of 6-9 months of isoniazid (25/26, 96.15%), while 1 patient received rifampin plus isoniazid. Only in one case ART therapy was changed before starting LTBI chemoprophylaxis. Transaminases and bilirubin levels were monitored in all PLHIV before and during treatment (Table 2, where treatment was still ongoing, we used the last observed value).
18 completed the therapy, while 3 discontinued it and 5 were still on treatment at the time of the analysis. One patient refused to continue after starting treatment, while the other two experienced adverse events (both were Italy-born). Both adverse events occurred in patients taking isoniazid, with one developing acute liver disease and the other experiencing a transient ischemic attack shortly after initiating therapy and subsequently declining to resume chemoprophylaxis. Moderate and transitory increases in transaminases (< 3 normal values) were registered in 4 cases, all with normal values at the end of the therapy.

4. Discussion

Our multicentre study reported retrospective and prospective data about screening and prevalence of LTBI among PLHIV in Italy. Other 1000 PLHIV underwent QFT TB Gold Plus testing across five Italian centers, revealing a 3.4% prevalence of positive results among PLHIV without a history of previous TB. QFT-TB Gold Plus demonstrated reliability for TB screening in PLHIV. Elisa Petruccioli et al. demonstrated that CD4 count did not influence the distribution of IFN-γ values in HIV-TB and HIV-LTBI patients. Furthermore, cytometry results documented that HIV infection reduced the CD4+ T-cell response but did not impact the CD8+ T-cell response, which likely compensates for the CD4-response impairment related to HIV infection [9]. Symptoms, radiography, CT, and smear microscopy were employed to exclude subclinical TB, resulting in the diagnosis of one case. However, clinical discrimination between LTBI and active TB remains challenging, particularly in PLHIV, where clinical manifestations can be masked, and active tuberculosis can occur even in the absence of lung lesions. Previous studies have explored antibodies and new Mycobacterium tuberculosis-specific immunologic antigens to differentiate LTBI and active TB [10]. Additionally, plasma CCL1 and IL-2Ra have been considered potential biomarkers for distinguishing active TB from LTBI in low TB burden settings unaffected by HIV infection [11]. Excluding the single case of subclinical tuberculosis diagnosed in our data, among the 37 PLHIV with positive results, 7 were lost to follow-up, and ultimately, only 28 were offered chemoprophylaxis. As observed in a previous study, there were substantial losses in the LTBI cascade-of-care before treatment initiation and among cohorts utilizing LTBI tests, the cumulative proportions of PLHIV starting and completing TB preventive therapy were 60.4% and 41.9%, respectively [11]. The overall prevalence of LTBI in our study was 2.8%, although it could be slightly higher (3.3%) (37/1105) if we considered that six individuals with positive results were lost before differentiating the type of TB. This prevalence is lower compared to others reported in the literature for PLHIV. Meaghan M Kall et al. reported a prevalence of LTBI of 9.2% (46/502, United Kingdom), Anne Bourgarit et al. 11.5% (47/407, France), Helena A. White et al. 11.1% (117/1053, United Kingdom), and Tessa Runels et al. 5.8% (11/189, United States of America) [13,14,15,16]. An Italian survey highlighted a prevalence of 6.5% (32/495) [6], although LTBI screening in PLHIV was not uniformly performed in all investigated centers. Elzbieta Matulyte et al. noted that the prevalence of LTBI among PLHIV was higher compared to the HIV-uninfected population and found an association with intravenous drug use [17]. In our data, 16.1% (5/31) of PLHIV with LTBI were drug addicted, while 11% (119/1056) among those with a negative result were, without significant difference. However, we found a positive association with alcoholism, although our data are limited. However, we found a positive IGRA test association with a non-Italian country of origin, with most of the non-Italy-born screened individuals coming from Africa. Other studies conducted in low-prevalence countries have shown an association between country of origin and positive results during LTBI screening in PLHIV [13,14,15]. In our study, more than 90% of PLHIV diagnosed with LTBI were recommended chemoprophylaxis, 92.8% (26/28) initiated it, and 88.4% (23/26) completed it or were still on treatment at the time of this analysis. In almost all cases, isoniazid therapy was administered for a duration of 6-9 months, as decided by the clinician. Only one case of severe hepatic injury related to isoniazid was reported, and another patient experienced a transient ischemic attack, likely unrelated to the therapy. Regarding the initiation of chemoprophylaxis, prevalences reported in previous studies [6,13,14,15,16] ranged from 28% [14] to 87% [13]. Although WHO guidelines advocate for LTBI treatment in all PLHIV [1], the inadequate implementation of this recommendation may stem from skepticism regarding treatment effectiveness, the low incidence of TB in developed countries, concerns about treatment adherence, safety issues, and potential interactions with ART. Our study reported very few adverse events, and of these, only one was definitively associated with LTBI treatment. Additionally, ART was changed in only one case. Isoniazid did not interact with commonly used ART regimens, while rifampin interacted with many HIV drugs, such as TAF, dolutegravir, and boosted/PI. In contrast to our data, a previous study highlighted a higher number of adverse events (33.3%), mainly hepatotoxicity, in PLHIV taking isoniazid for LTBI [18]. Further prospective studies are warranted to elucidate this matter. A reasonable compromise is regular monitoring of hepatitis markers during therapy to promptly suspend therapy if necessary. PLHIV have a higher prevalence of LTBI, and literature data demonstrate that chemoprophylaxis reduces TB incidence in this group [19]. Additionally, Tecla M. Temu et al. found heightened levels of pro- and anti-inflammatory cytokines among PLHIV with LTBI, considering four groups of PLHIV with LTBI and without LTBI, HIV-uninfected individuals with and without LTBI [20]. Treatment of LTBI could reduce these markers.

5. Conclusions

In conclusion, our multicenter study provides valuable insights into the prevalence of LTBI among PLHIV in Italy, as well as the outcomes of LTBI screening and therapy initiation. The study revealed a prevalence of LTBI of 2.8% among PLHIV, with non-Italy-born individuals showing a significantly higher likelihood of testing positive for LTBI. Despite the recommendations for LTBI treatment in all PLHIV, our findings indicate that there are substantial gaps in the implementation of chemoprophylaxis, with only 26 PLHIV with positive result initiating therapy and 7 lost to follow-up before of completing the screening or starting chemoprophylaxis. Adherence to LTBI therapy was relatively high, with only 3 individuals discontinuing the prescribed regimen. However, adverse events associated with LTBI treatment, particularly hepatotoxicity, underscore the importance of careful monitoring and management during therapy. Our study highlights the need for enhanced efforts to ensure universal screening for LTBI among PLHIV and to facilitate timely initiation and completion of chemoprophylaxis to reduce the burden of tuberculosis in this vulnerable population. Further research is warranted to explore strategies to improve LTBI cascade-of-care outcomes and optimize the safety and effectiveness of LTBI treatment regimens in PLHIV.

Supplementary Materials

Non supplementary materials available.

Author Contributions

Conceptualization, A.C.; formal analysis, E.D.R.; investigation, L.P., M.T., R.R., A.L, L.C., I.C., N.S., G.N.; writing—original draft L.P.; review and editing, A.C., G.V.D.S., G.F.P., P.B., P.M, and A.D.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The TUBHIVIT Project was conducted in accordance with the Declaration of Helsinki. It was approved by Local Ethics committee AOUP Paolo Giaccone, Palermo, Italy, on October 4th, 2019. All patients included gave their written informed consent to participate in the study.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author, AC, upon reasonable request.

Acknowledgments

We want to acknowledge all the members of Coordinamento Italiano Studio Allergie e Infezione da HIV (CISAI). Coordinators: Paolo Bonfanti (Monza) and Antonio Di Biagio (Genova). Data management and analysis: Elena Ricci (Milano). Health informatic service: L.D. Magnoni and M. Bonetto (Genova, Healthropy) and M. Giacomini (Genova, DIBRIS). Participating centers: E. Sarchi, G. Chichino, and C. Bolla (Alessandria); A. Saracino and D. Fiordelisi (Bari); L. Calza (Bologna); B. Menzaghi, M. Farinazzo, and F. Franzetti (Busto Arsizio); G. Angioni and M. Buffa (Cagliari); P. Maggi, A. Masiello, and F. Simeone (Caserta); G. Bruno and B. M. Celesia (Catania); C. Grosso (Cesena); K. Falasca (Chieti); L. Pusterla and G. Chieffo (Como); A. Mastroianni and G. Guadagnino (Cosenza); F. Franzetti and S. Rusconi (Legnano); S. Carradori (Ferrara); F. Vichi, E. Salomoni, C.V. Martinelli, and F. Lagi (Firenze); A. Di Biagio, C. Dentone, L. Taramasso, M. Bassetti, E. Pontali, A. Parisini, and F. Del Puente (Genova); C. Molteni, A. Pandolfo, and S. Piconi (Lecco); S. Rusconi and M. Franzetti (Legnano); G. F. Pellicanò and G. Nunnari (Messina); L. Valsecchi, L. Cordier, S. Parisini, G. Rizzardini, F. Conti, A. Bandera, A. Gori, D. Motta, M. Merli, and M. Puoti (Milano); P. Bonfanti, N. Squillace, M. Rossi, E. Pollastri, and N. Corti (Monza); S. Martini (Napoli); O. Bargiacchi and P.L. Garavelli (Novara); A. Cascio and M. Trizzino (Palermo); R. Gulminetti and L. Pagnucco (Pavia); G. V. De Socio, G. Gamboni, D. Altobelli, and D. Francisci (Perugia); E. Mazzotta and G. Parruti (Pescara); S. Cicalini, R. Bellagamba, and A. Antinori (Roma); P. Morelli (Humanitas); G. Cenderello (Sanremo); G. Madeddu and M. S. Mameli (Sassari); G. Orofino and M. Guastavigna (Torino); A. Londero, A. Giacinta, and C. Tascini (Udine); G. Battagin and V. Manfrin (Vicenza).

Conflicts of Interest

The following authors served as a consultant or advisory-board member and/or received speaker’s fees and/or received research grants for their institutions, outside the present work: PM, and GFP from Gilead Science, ViiV Healthcare, Janssen, and Merck Sharp & Dohme; PB from Gilead Science, ViiV Healthcare, Janssen, Merck Sharp & Dohme, and Pfizer; ADB from Gilead Science, ViiV Healthcare, and Janssen; RB from Gilead Science, ViiV Healthcare, and Merck Sharp & Dohme; AC from Gilead Science, Janssen, and Merck Sharp & Dohme; NS from ViiV Healthcare and Janssen; BMC from Gilead Science, Bristol Myers Squibb, AbbVie, ViiV Healthcare, Janssen, Mylan, and Merck Sharp & Dohme. All remaining authors have no potential conflict of interest.

References

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  2. Sester, M et al. “Interferon-γ release assays for the diagnosis of active tuberculosis: a systematic review and meta-analysis.” The European respiratory journal vol. 37,1 (2011): 100-11. [CrossRef]
  3. Shah, Maunank, and Susan E Dorman. “Latent Tuberculosis Infection.” The New England journal of medicine vol. 385,24 (2021): 2271-2280. [CrossRef]
  4. Person, Anna K, and Timothy R Sterling. “Treatment of latent tuberculosis infection in HIV: shorter or longer?.” Current HIV/AIDS reports vol. 9,3 (2012): 259-66. [CrossRef]
  5. https://www.eacsociety.org/media/guidelines-12.0.pdf accessed on 11 April 2024.
  6. Goletti, Delia et al. “Latent tuberculosis infection screening in persons newly-diagnosed with HIV infection in Italy: A multicentre study promoted by the Italian Society of Infectious and Tropical Diseases.” International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases vol. 92 (2020): 62-68. [CrossRef]
  7. European Centre for Disease Prevention and Control, WHO Regional Office for Europe. Tuberculosis surveillance and monitoring in Europe 2022–2020 data. https://www.ecdc.europa.eu/sites/default/files/documents/Tuberculosis-surveillance-monitoring-europe-2022_0.pdf.
  8. Pipitò, Luca et al. “Hospitalizations for tuberculosis in Sicily over the years 2009-2021: Clinical features, comorbidities, and predictors of mortality.” Journal of infection and public health vol. 16,9 (2023): 1518-1524. [CrossRef]
  9. Petruccioli, Elisa et al. “Effect of HIV-infection on QuantiFERON-plus accuracy in patients with active tuberculosis and latent infection.” The Journal of infection vol. 80,5 (2020): 536-546. [CrossRef]
  10. Nziza, Nadege et al. “Defining Discriminatory Antibody Fingerprints in Active and Latent Tuberculosis.” Frontiers in immunology vol. 13 856906. 20 Apr. 2022. [CrossRef]
  11. Chendi, Bih H et al. “CCL1 and IL-2Ra differentiate Tuberculosis disease from latent infection Irrespective of HIV infection in low TB burden countries.” The Journal of infection vol. 83,4 (2021): 433-443. [CrossRef]
  12. Bastos, Mayara Lisboa et al. “The latent tuberculosis cascade-of-care among people living with HIV: A systematic review and meta-analysis.” PLoS medicine vol. 18,9 e1003703. 7 Sep. 2021. [CrossRef]
  13. Kall, Meaghan M et al. “Latent and subclinical tuberculosis in HIV infected patients: a cross-sectional study.” BMC infectious diseases vol. 12 107. 4 May. 2012. [CrossRef]
  14. Bourgarit, Anne et al. “Latent Tuberculosis Infection Screening and 2-Year Outcome in Antiretroviral-Naive HIV-Infected Patients in a Low-Prevalence Country.” Annals of the American Thoracic Society vol. 12,8 (2015): 1138-45. [CrossRef]
  15. White, Helena A et al. “The impact, effectiveness and outcomes of targeted screening thresholds for programmatic latent tuberculosis infection testing in HIV.” AIDS (London, England) vol. 36,14 (2022): 2035-2044. [CrossRef]
  16. Runels, Tessa et al. “Testing and treatment for latent tuberculosis infection in people living with HIV and substance dependence: a prospective cohort study.” BMJ open vol. 12,3 e058751. 10 Mar. 2022. [CrossRef]
  17. Matulyte, Elzbieta et al. “Latent Tuberculosis Infection and Associated Risk Factors among People Living with HIV and HIV-Uninfected Individuals in Lithuania.” Pathogens (Basel, Switzerland) vol. 12,8 990. 28 Jul. 2023. [CrossRef]
  18. Carlos Silveira Machado, António et al. “Adverse Events of Latent Tuberculosis Treatment With Isoniazid in People Living With HIV: A Case-Control Study in a Resource-Rich Setting.” Cureus vol. 15,7 e41647. 10 Jul. 2023. [CrossRef]
  19. van Geuns, Dorine et al. “Screening for tuberculosis infection and effectiveness of preventive treatment among people with HIV in low-incidence settings.” AIDS (London, England) vol. 38,2 (2024): 193-205. [CrossRef]
  20. Temu, Tecla M et al. “Latent tuberculosis is associated with heightened levels of pro-and anti-inflammatory cytokines among Kenyan men and women living with HIV on long-term antiretroviral therapy.” AIDS (London, England) vol. 37,7 (2023): 1065-1075. [CrossRef]
Figure 1. Distribution of the enrolled patient among the centers: Palermo, Policlinico Giaccone; Caserta, Sant’Anna and Sebastiano Hospital; Perugia, Santa Maria Hospital; Genova, IRCCS San Martino; Monza, IRCCS San Gerardo; Messina, G.Martino Hospital.
Figure 1. Distribution of the enrolled patient among the centers: Palermo, Policlinico Giaccone; Caserta, Sant’Anna and Sebastiano Hospital; Perugia, Santa Maria Hospital; Genova, IRCCS San Martino; Monza, IRCCS San Gerardo; Messina, G.Martino Hospital.
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Figure 2. Absolute frequencies of PLHIV screened for LTBI in Italian centers (n=1105).
Figure 2. Absolute frequencies of PLHIV screened for LTBI in Italian centers (n=1105).
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Figure 3. The Sankey plot illustrates the process screening of PLHIV for LTBI, showing at the end the number of PLHIV who started the treatment for LTBI.
Figure 3. The Sankey plot illustrates the process screening of PLHIV for LTBI, showing at the end the number of PLHIV who started the treatment for LTBI.
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Table 1. The table shows the features of PLHIV with LTBI compared with PLHIV who tested negative by IGRA.
Table 1. The table shows the features of PLHIV with LTBI compared with PLHIV who tested negative by IGRA.
Variables All
(n=1087)
IGRA positive
(n=31, 2.8%)
IGRA negative
(n=1056, 97.2%)
p
Sex, n (%)
Female
Male
Other

254 (23.4)
817 (75.2)
16 (1.5)

9 (29.0)
22 (71.0)
0

245 (23.2)
795 (75.3)
16 (1.5)


0.61
Country of origin, n (%)
Italy
Non-Italy-born

892 (82.1)
195 (17.9)

19 (61.3)
12 (38.7)

873 (82.7)
183 (17.3)

0.002
Age, median (IQR) 49 (40-56) 49 (35-57) 48.5 (40-56) 0.90
Drug users, n (%)
No
Yes
Missing

842 (77.5)
124 (11.4)
121 (11.1)

22 (71.0)
5 (16.1)
4 (12.9)

820 (77.6)
119 (11.3)
117 (11.1)


0.64
MSM, n (%)
No
Yes
Missing

686 (63.1)
270 (24.8)
131 (12.1)

18 (58.1)
8 (25.8)
5 (16.1)

668 (63.3)
262 (24.8)
126 (11.9)


0.75
Alcoholism, n (%)
No
Yes
Missing

619 (57.0)
45 (4.1)
423 (38.9)

19 (61.3)
5 (16.1)
7 (22.6)

600 (56.8)
40 (3.8)
416 (39.4)


0.001
Years from HIV diagnosis, median (IQR) 7.2 (2.3-17.3) 5.0 (1.1-13.9) 7.3 (2.3-17.3) 0.34
CD4, median (IQR) 618 (426-840) 647 (460-802) 617 (426-841) 0.57
Nadir CD4, median (IQR) 300 (104-484) 406 (275-570) 300 (103-482) 0.06
Comorbidities, n (%)
0
1
≥2

786 (72.3)
256 (23.6)
45 (4.1)

26 (83.9)
3 (9.7)
2 (6.4)

760 (72.0)
253 (24.0)
43 (4.1)


0.16
Cardiovascular diseases, n (%) 239 (22.0) 4 (12.9) 235 (22.2) 0.27
Diabetes, n (%) 61 (5.6) 1 (3.2) 60 (5.7) 1.00
Solid neoplasia, n (%) 40 (3.7) 1 (3.2) 39 (3.7) 1.00
Hematologic malignancy, n (%) 10 (0.9) 1 (3.2) 9 (0.8) 0.25
Table 2. Follow-up data of PLHIV who started LTBI chemoprophylaxis.
Table 2. Follow-up data of PLHIV who started LTBI chemoprophylaxis.
Variables All
(n=26)
Italy-born
(n=14)
Non-Italy-born
(n=12)
p
Pretreatment
Ast Median IQR
Alt Median IQR
Bilirubin Median IQR

18 (14-21)
18 (15-22)
0.40 (0.29-0.52)

17 (14-19)
17 (15-21)
0.39 (0.29-0.50)

22 (16-25)
18 (15-24)
0.52 (0.28-0.80)

0.10
0.54
0.48
Last measured value*
Ast Median IQR
Alt Median IQR
Bilirubin Median IQR

21 (18-25)
22 (13-27)
0.41 (0.34-0.72)

21 (18-29)
26 (15-30)
0.54 (0.33-0.72)

21 (17-24)
17 (13-23)
0.39 (0.35-0.41)

0.68
0.09
0.48
*The last one was frequently taken before the therapy ending. AST= aspartate aminotransferase , ALT= alanine aminotransferase.
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