| Literature DB >> 33326871 |
Justyna D Kowalska1, Kerstin Kase2, Anna Vassilenko3, Arjan Harxhi4, Botond Lakatos5, Gordana Dragović Lukić6, Antonija Verhaz7, Nina Yancheva8, Florentina Dumitrescu9, David Jilich10, Ladislav Machala11, Agata Skrzat-Klapaczyńska12, Raimonda Matulionyte13.
Abstract
BACKGROUND: There is currently no evidence suggesting that COVID-19 takes a different course in HIV-positive patients on antiretroviral treatment compared to the general population. However, little is known about the relation between specific HIV-related factors and the severity of the COVID-19 disease.Entities:
Keywords: Antiretroviral therapy; COVID-19; HIV; Protease inhibitors; SARS-CoV-2
Mesh:
Substances:
Year: 2020 PMID: 33326871 PMCID: PMC7834141 DOI: 10.1016/j.ijid.2020.12.026
Source DB: PubMed Journal: Int J Infect Dis ISSN: 1201-9712 Impact factor: 3.623
Baseline characteristics of HIV-positive patients with COVID-19 diagnosis.
| N | All | Asymptomatic/mild COVID-19 | Moderate/severe COVID-19 | P value | |
|---|---|---|---|---|---|
| N = 15 | N = 19 | ||||
| Women, n (%) | 34 | 10 (29.4) | 3 (20.0) | 7 (36.8) | 0.451 |
| Age in years, median (IQR) | 34 | 40.5 (36.0–48.0) | 44.0 (32.0–47.0) | 39.0 (36.0–51.0) | 0.945 |
| BMI in kg/m2, median (IQR) (n = 27) | 27 | 26.0 (23.0–27.0) | 25.5 (23.5–28.5) | 26 (22.5–27.0) | 0.606 |
| Comorbidities, n (%) | 34 | 18 (52.9) | 6 (40.0) | 12 (63.2) | 0.489 |
| - Cardiovascular disease | 5 | 2 | 3 | ||
| - Chronic lung disease | 2 | 1 | 1 | ||
| - Diabetes | 2 | 0 | 2 | ||
| - Hypertension | 2 | 0 | 2 | ||
| - Other | 7 | 3 | 4 | ||
| HBV or HCV co-infection, n (%) | 34 | 11 (32.3) | 6 (40.0) | 5 (26.3) | 0.475 |
| Current drug user, n (%) | 34 | 2 (5.9) | 0 (0.0) | 2 (10.5) | 0.692 |
| Current smoker, n (%) | 34 | 11 (32.3) | 7 (46.7) | 4 (21.0) | 0.430 |
| Time since HIV diagnosis, median (IQR) | 34 | 5.0 (1.0–14.0) | 7.0 (2.0–14.0) | 5.0 (1.0–14.0) | 0.638 |
| Mode of HIV transmission, n (%): | 34 | 0.249 | |||
| IDU | 5 (14.7) | 2 (13.3) | 3 (15.8) | ||
| MSM | 13 (38.2) | 7 (46.7) | 6 (31.6) | ||
| Heterosexual | 14 (41.2) | 4 (26.7) | 10 (52.6) | ||
| Unknown | 2 (5.9) | 2 (13.3) | 0 (0.0) | ||
| Nadir CD4+ count, median (IQR) | 34 | 255.5 (88–381) | 310 (224–429) | 219 (61–318) | 0.218 |
| Latest CD4+ count, median (IQR) | 34 | 557 (312–708) | 598 493–830 | 491 (204–683) | 0.160 |
| Baseline HIV VL log copies/mL, median (IQR) (n = 31) | 31 | 4.93 (4.20−6.00) | 4.93 (3.97−5.98) | 5.09 (4.23−6.00) | 0.548 |
| Undetectable HIV VL before COVID-19, n (%) (n = 33) | 33 | 18 (54.5) | 8 (53.3) | 10 (55.5) | 1.000 |
| On cART, n (%) | 34 | 28 (82.3) | 13 (86.7) | 15 (78.9) | 0.672 |
| Protease inhibitor in regimen (any), n (%) | 34 | 6 (17.6) | 5 (33.3) | 1 (5.3) | 0.066 |
darunavir/cobicistat | 3 | 2 | 1 | – | |
lopinavir/ritonavir | 3 | 3 | 0 | – | |
| Integrase inhibitors regimen (any), n (%) | 34 | 16 (47.0) | 7 (46.7) | 9 (47.4) | 0.730 |
bictegravir | 1 | 0 | 1 | – | |
dolutegravir | 11 | 6 | 5 | – | |
elvitegravir/cobicistat | 3 | 1 | 2 | – | |
raltegravir | 1 | 0 | 1 | – | |
| Non-nucleoside reverse transcriptase inhibitors, n (%) | 34 | 6 (17.6) | 0 (0.0) | 6 (31.6) | 0.0239 |
| Tenofovir in regimen (any salt), n (%) | 34 | 17 (50.0) | 8 (53.3) | 9 (47.4) | 1.000 |
tenofovir alafenamide | 5 | 2 | 3 | – | |
tenofovir disoproxil | 12 | 6 | 6 | – | |
| Intensive Care Unit stay, n (%) | 34 | 3 (8.8) | 0 (0.0) | 3 (15.8) | 0.238 |
| Mechanical ventilation, n (%) | 34 | 2 (5.9) | 0 (0.0) | 2 (5.3) | 0.492 |
| COVID-19 specific treatment (any), n (%) | 34 | 11 (32.3) | 1 (6.7) | 10 (52.6) | 0.0083 |
| Outcome: | 34 | 0.0187 | |||
| Died, n(%) | 2 (5.9) | 0 (0.0) | 2 (10.5) | ||
| Fully recovered, n(%) | 26 (76.5) | 15 (100.0) | 11 (57.9) | ||
| Still in hospital, n(%) | 6 (17.6) | 0 (0.0) | 6 (31.6) |
IQR – interquartile range, BMI – body mass index, HCV – hepatitis C virus, HBV – hepatitis B virus, COVID-19 – Coronavirus Disease 2019.
Fisher exact test.
Kruskal–Wallis test.