| Literature DB >> 27148964 |
Tam Nguyen Truong1,2, Didier Laureillard2,3, Karine Lacombe4,5, Huong Duong Thi6, Phuc Pham Thi Hanh7, Lien Truong Thi Xuan8, Nga Chu Thi9, Anh Luong Que9, Vinh Vu Hai7, Nicolas Nagot2,10, Edouard Tuaillon2,11, Stéphanie Dominguez12, Maud Lemoine13.
Abstract
RATIONALE AND AIMS: Screening and treatment for chronic hepatitis C are very limited in Vietnam and clinical data on HCV-related liver disease in HIV-coinfected people are almost inexistent. This study aimed to assess the severity of liver fibrosis and its risk factors in HIV-HCV coinfected patients in Haiphong, Northern Vietnam.Entities:
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Year: 2016 PMID: 27148964 PMCID: PMC4858210 DOI: 10.1371/journal.pone.0153744
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Flowchart of the study population.
Description of the study population according to the liver fibrosis status.
Continuous variables are expressed with their median and interquartile range (IQR) for the general population and mean and standard deviation (SD) when categorized by liver fibrosis group.
| General population n = 104 | Patients with F0-2 liver fibrosis n = 80 | Patients with F3-4 liver fibrosis n = 24 | P value | |
|---|---|---|---|---|
| Male gender (n, %) | 99 (95.2) | 75 (93.8) | 24 (100) | 0.6 |
| Age, years | 35.8 (32.7–39.6) | 37.1 (6.2) | 36.6 (5.5) | 0.9 |
| BMI, kg/m2 | 19.6 (18.4–21.6) | 20.1 (2.0) | 20.1 (2.3) | 0.8 |
| IV drug use as way of HCV transmission (n, %) | 72 (69.2) | 56 (70) | 16 (66.7) | 0.8 |
| Current or past excessive alcohol consumption (n, %) | 70 (67.3) | 50 (62.5) | 20 (83.3) | 0.04 |
| Current tobacco use (n, %) | 82 (78.9) | 65 (81.3) | 17 (70.8) | 0.3 |
| Current cannabis use (n, %) | 16 (15.4) | 11 (13.8) | 5 (20.8) | 0.5 |
| Current use of any drugs (including injecting) (n, %) | 8 (10.8) | 6 (10.3) | 2 (12.5) | 0.9 |
| Current use of injecting drugs (n, %) | 9 (12.7) | 7 (12.5) | 2 (13.3) | 0.9 |
| Current oral opioid substitution (n, %) | 21 (20.2) | 18 (22.5) | 3 (12.5) | 0.4 |
| Estimated duration of HIV infection from first screening, years | 6.3 (3.1–7.8) | 6.6 (4.0) | 5.7 (3.8) | 0.4 |
| CD4 nadir, per mm3 | 84 (38–175) | 113 (113.4) | 133 (110.2) | 0.2 |
| Current CD4 count, per mm3 | 504 (361–624) | 521 (210.2) | 471 (159.6) | 0.4 |
| Undetectable HIV-RNA (n, %) | 98 (94.2) | 75 (93.8) | 23 (95.8) | 0.9 |
| Duration of cART, years | 4.3 (4.1–6.0) | 4.2 (1.9) | 3.8 (1.9) | 0.3 |
| 2 NNRTI and Nevirapine | 7 (6.7) | 4 (5) | 3 (12.5) | 0.07 |
| 2 NNRTI and Efavirenz- | 91 (87.5) | 73 (91.3) | 18 (75.0) | 0.08 |
| 2 NNRTI and Lopinavir/ritonavir | 6 (5.8) | 3 (3.5) | 3 (12.5) | 0.07 |
| 13 (12.6) | 9 (11.3) | 4 (12.6) | 0.5 |
Hepatitis C characteristics of the study population according to the liver fibrosis status Continuous variables are expressed with their median and interquartile range (IQR) for the general population and mean and standard deviation (SD) when categorized by liver fibrosis group.
| General population n = 104 | Patients with F0-2 liver fibrosis n = 80 | Patients with F3-4 liver fibrosis n = 24 | P value | |
|---|---|---|---|---|
| 4.8 (2.7–6.5) | 4.6 (2.1) | 9.0 (22.4) | 0.08 | |
| 93 (89.4) | 70 (87.5) | 23 (95.8) | 0.5 | |
| 6.19 (4.95–6.83) | 5.93 (1.26) | 5.91 (0.99) | 0.7 | |
| 64 (68.8) | 49 (70.0) | 15 (65.2) | 0.9 | |
| 5 (5.4) | 4 (5.7) | 1 (4.4) | 0.8 | |
| 24 (25.8) | 17 (24.3) | 7 (30.4) | 0.6 | |
| 214 (177–267) | 235 (71) | 189 (86) | 0.003 | |
| 62 (40–95) | 62 (34) | 128 (92) | 0.0001 | |
| 48 (38–68) | 47 (20) | 105 (58) | 0.0001 | |
| 143 (93–378) | 23.5 (210.5) | 67.9 (332.5) | 0.0001 | |
| 10 (7–13.5) | 9.9 (4.3) | 16.3 (9.2) | 0.0001 | |
| 43 (41–45) | 41.8 (7,0) | 41.0 (8.7) | 0.9 | |
| 91 (79–99) | 93 (22) | 79 (17) | 0.002 | |
| 6.7 (5.3–9.2) | 6.1 (1.5) | 18.4 (11.6) | 0.0001 | |
| 0.7 (0.4–1.4) | 0.7 (0.5) | 2.2 (1.9) | 0.0001 | |
| 1.09 (0.78–1.58) | 1.01 (0.77–1.25) | 1.92 (1.28–1.83) | <0.0001 |
Fig 2Performance of APRI in diagnosing extensive fibrosis (F3) and cirrhosis using a high threshold (APRI > 2) (Fig 1A) and a low threshold (APRI>1) (Fig 1B).
Performances of APRI and FIB-4 in predicting advanced fibrosis /cirrhosis (F3/F4) using transient elastography as a gold standard.
AUROC: area under the receiving operator curve; Se: sensitivity; Sp: specificity; LR-: negative likelihood ratio; LR+: positive likelihood ratio.
| AUROC (95%CI) | Se (%) | Sp (%) | Correctly classified, (%) | LR- | LR+ | |
|---|---|---|---|---|---|---|
| High APRI threshold (2) | 0.93 (0.86–0.99) | 90 | 84 | 84.6 | 0.11 | 7.69 |
| Low APRI threshold (1) | 0.75 (0.64–0.86) | 47 | 90 | 75 | 0.59 | 4.59 |
| High FIB-4 threshold (3.25) | 0.96 (0.92–0.99) | 100 | 81 | 81.9 | 0 | 5.96 |
| Low FIB-4 threshold (1.25) | 0.76 (0.64–0.88) | 53 | 88 | 77.9 | 0.53 | 4.39 |
Fig 3Performance of FIB-4 in diagnosing extensive fibrosis (F3) using a high threshold (FIB-4 > 3.25) (Fig 3A) and a low threshold (FIB-4 > 1.25) (Fig 3B).