Welcome to Prestigio Registry platform

Eacs

Polypharmacy, anticholinergic burden, and drug-drug interaction assessment in people living with HIV harboring a 4-class resistance: data from the PRESTIGIO Registry

Objectives: Assessment of anticholinergic burden (ACB) has emerged as a clinical problem, especially in people with HIV (PWH) undergoing polypharmacy.
People with HIV and a resistant virus to all 4 classes of antiretrovirals (4DR-PWH) often require complex treatment regimens, potentially causing drug-drug interactions (DDIs).
Our objectives were to evaluate polypharmacy, ACB and DDIs in this population.

Methods: This is a cross-sectional study, including 4DR-PLWH of the PRESTIGIO Registry taking at least one non-antiretroviral drug. Polypharmacy was defined as taking ≥ 5 non-antiretroviral drugs/person. The cumulative ACB of one or more drugs with anticholinergic activity, was calculated using the ACB scale: 0= no AC effect, 1-2= low/moderate risk, ≥3= high anticholinergic risk. Characteristics of people classified according to ACB score were compared using the Kruskal-Wallis test; Spearman's correlation coefficient calculated to assess linear relationship. DDIs evaluated from the Liverpool database.5

Results: Overall, 172 4DR-PLWH were evaluated: 62 (27.1%) on polypharmacy, 109 (63.4%) treated with an INSTI-based regimen, 124 (72.1%) using a boosting agent and 72 (41.8%) with 4 or more antiretrovirals. Other characteristics in Table 1.
Based on ACB, 33/172 (19.2%) and 11/172 (6.4%) had a low/moderate and high AC, respectively. The most common drugs for ACB are reported in Table. 2.
The high ACB was significantly related to the number of drugs/person (r=0.327, p=<.0001) and the number of previous clinical event (r=0.222, p=0.004). Overall, we found 258 DDIs between ARVs and comedications in 115 (66.8%) PWH, and 14 (8.1%) PWH received contraindicated drug combinations (Figure 1).

Conclusions: In 4DR-PLWH, polypharmacy, and proportion of people with moderate/high AC burden were high, as well as the number of DDIs detected. As the use of boosted agents is often not avoidable in PWH with multidrug resistance, a multidisciplinary approach among specialists of different fields is strongly encouraged.

Figure 1.Summary of DDIs in the PRESTIGIO Registry

  Overall Potential weak Potential Do not coadminister
Antiretroviral causing DDIs n= 258 % n % n % n %
Ritonavir 115 44,6 42 16,5 65 25,2 8 3,1
Cobicistat 79 30,6 28 11,0 47 18,2 4 1,6
Etravirine 27 10,5 14 5,5 13 5,0 0 0,0
TAF/FTC or TDF/FTC 7 2,7 6 2,4 1 0,4 0 0,0
Dolutegravir 8 3,1 2 0,8 6 2,3 0 0,0
Bictegravir 3 1,2 0 0,0 3 1,2 0 0,0
Fostemsavir 7 2,7 2 0,8 5 1,9 0 0,0
Doravirine 1 0,4 1 0,4 0 0,0 0 0,0
Rilpivirine 4 1,6 2 0,8 2 0,8 0 0,0
Lamivudine 2 0,8 2 0,8 0 0,0 0 0,0
Atazanavir 3 1,2 0 0,0 1 0,4 2 0,8
Maraviroc 1 0,4 0 0,0 1 0,4 0 0,0
Zidovudina 1 0,4 0 0,0 1 0,4 0 0,0

 

Table 1. Demographic, immunologic, virologic characteristics according to ACB score.

Variable Overall
(N=172)
Score
ACB ≥3
(n=11)
Score
ACB=1-2
(n=33)
Score
ACB=0
(n=128)
P-value
Age (years) 49.95
(45.62 – 56)
51.25
(45.34 – 55.2)
49.87
(46.28 – 56)
49.82
(45.47 – 54)
0.726
Male Gender 130
(75.6%)
10
(90.9%)
26
(78.8%)
94
(73.4%)
0.386
ART duration (years) 25.76
(22.34 – 28.7)
26.16
(19.45 – 29)
26.25
(22.34 – 29)
25.72
(22.27 – 28.4)
0.744
CD4+ cell count
(cells/µL)
537
(331.5 – 818)
574
(372 - 628)
414
(326 - 740)
537
(338.5 – 843)
0.657
HIV-RNA <50
(copies/mL)
121
(70.3%)
9
(81.8%)
25
(75.8%)
87
(68%)
0.187
History of MACEs 22
(12.9%)
1
(9.1%)
10
(30.2%)
11
(8.7%)
0.114
History of Malignances 25
(14.5%)
3
(27.3%)
5
(15.2%)
17
(13.3%)
0.126
History of Hypertension 35
(20.3%)
2
(18.2%)
7
(21.2%)
26
(20.3%)
0.977
History of Neuropsychiatric
diseases
39
(22.7%)
9
(81.8%)
7
(21.2%)
23
(18%)
0.0008
History of Dyslipidemia 48
(27.9%)
3
(27.3%)
10
(30.3%)
35
(27.3)
0.943

 

Table 2. Description of polypharmacy/comedication according to ACB score.

Variable Overall
(N=172)
Score ACB ≥3
(n=11)
Score ACB=1-2
(n=33)
Score ACB=0
(n=128)
P-value
Antidepressants 26 (15.1%) 10 (90.9%) 5 (15.1%) 11 (8.6%) <0.0001
Hypercholesterolemia/
hyperlipidemia drugs
68 (39.5%) 6 (54.5%) 12 (36.4%) 50 (39.1%) 0.552
Beta-blockers 51 (29.7%) 4 (36.4%) 17 (51.5%) 30 (23.4%) 0.006
Diuretics 23 (13.3%) 1 (9.1%) 14 (42.4%) 8 (6.3%) <.0001
Other Hypolipidemic Drugs 26 (15.1%) 2 (18.2%) 6 (18.2%) 18 (14%) 0.924
Antiplatelets 40 (23.4%) 3 (27.3%) 11 (33.3%) 26 (20.3) 0.053
Ace-inhibitors 42 (24.4%) 2 (18.2%) 6 (18.2%) 34 (26.6%) 0.536
Sartans 17 (9.9%) 1 (9.1%) 4 (12.1%) 12 (9.4%) 0.891
Calcium channel blockers 20 (11.6%) 0 (0%) 7 (21.2%) 13 (10.2%) 0.097

Dated Thu Oct 19 2023

Authors: M.Mazzitelli, D.Pontillo, T.Clemente, A.di Biagio, G.Cenderello, S.Rusconi, B.Menzaghi, C.Fornabaio, E.Garlassi, M.Zazzi, A.Castagna, A.Cattelan

Affiliations: Infectious and Tropical Diseases Unit, Padua University Hospital, Padua, Italy Infectious Diseases Department, San Raffaele Scientific Institute, Milan, Italy IRCCS Ospedale Policlinico San Martino, Genova, Liguria, Italy Infectious Disease Unit, Sanremo Hospital, ASL 1 Imperiese, Sanremo, Italy Infectious Diseases Unit, ASST Ovest Milanese, Legnano General Hospital, Legnano, Italy Unit of Infectious Diseases, ASST della Valle Olona, Busto Arsizio, Italy ASST Cremona, Cremona, Italy Malattie Infettive Arcispedale S. Maria Nuova-IRCSS, Reggio Emilia, Italy Department of Medical Biotechnologies, University of Siena, Siena, Italy