Document Type : Original Article
Authors
1 Lecturer of Internal Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt
2 Professor of Internal Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt
3 Assistant Lecturer of Internal Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt
4 Assistant Professor of Internal Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt
Abstract
Keywords
Background
Hepatitis C virus (HCV) infection has variable long-term consequences, including chronic hepatitis, progressive fibrosis, cirrhosis, hepatocellular carcinoma (HCC) and extra hepatic manifestations [1].
The main goal of HCV eradication is to reduce hepatic and extra-hepatic consequences while also improving overall survival [2]. Advances in HCV treatment have resulted in cure rates of more than 90%, as defined by sustained virologic response (SVR), which is undetectable HCV RNA 12 weeks (SVR12) or 24 weeks (SVR24) following end of treatment (EOT). Long-term studies have demonstrated that in more than 99 percent of cases SVR correlates to complete cure of HCV infection [3].
Given progress in HCV treatment using direct acting antivirals (DAAs), it is necessary to simplify diagnostic confirmation and treatment surveillance methods to allow wide access to these new medications. This necessitates the need for follow up by markers that implicates successful response, one of which is the hemoglobin-haptoglobin scavenger receptor CD163, which is only found on the surface of monocytes and macrophages [4].
Kupffer cells, the liver's resident macrophages, release reactive oxygen species, cytokines, and interleukins in response to various stimuli, which influence hepatocellular development but may also maintain inflammation and cause hepatic cell death. Soluble CD163 (sCD163) has been identified as a marker for macrophages activation [5].
Over expression of sCD163 may be a sign of developing inflammation. Patients with fulminant hepatic failure had considerably higher sCD163 levels than those with hepatitis; it has also been reported as mortality predictor in patients with acute liver failure, cirrhosis and HCC. As a result, the clinical significance of CD163 expression in liver tissue and peripheral blood is of peculiar concern [6].
So, the aim of this study is to validate the role of soluble CD163 in prediction of fibrosis regression in chronic HCV patients treated with direct acing antiviral agents.
Methods:
During the period of January to August 2019, 40 Egyptian chronic HCV infected patients > 18 years old who were eligible for antiviral treatment with DAAs and agreed to regular follow up were recruited from the National Committee for Control of Viral Hepatitis (NCCVH) regional center in Ain Shams university hospital, and 10 healthy volunteers not infected with HCV served as a control group, participated in the study after taking informed consents and obtaining approval of Ain Shams University ethics committee.
The naive case group comprises forty chronic HCV patients who had positive HCVAb for at least six months, and detectable quantitative HCV RNA. They were treated with individually tailored DAAs regimen of Sofosbuvir 400mg + Daclatasvir 60mg ± Ribavirin 1000-1200mg as per the Egyptian NCCVH protocol for three months during the study course [7].
Application of exclusion criteria was taking in consideration co-infection with HBV or HIV, HCC or extra-hepatic malignancies except after two years of disease-free interval, obesity, Pregnancy or inability to use contraception, previous or current heavy alcohol consumption, or previous DAAs treatment experience.
I- Pre-enrollment assessment and work up:
All patients underwent the following:
II- Follow up 12 weeks after end of treatment:
All patients were tested for
Results
This study included forty chronic HCV patients eligible for treatment with DAAs (Naïve case group), they were 24 males and 16 females with mean age (41.800±10.146) and ten heathy age and sex matched subjects (control group), they were 6 males and 4 females with mean age (36.600±12.020)
As regard the biochemical parameters, the mean values of all components of complete blood picture (CBC) and serum albumin level were statistically significantly lower among naïve case group. While the mean values of total bilirubin, direct bilirubin and INR were statistically significantly higher among naïve case group compared to control group (Table 1).
Mean values of sCD163 were found to be statistically significantly higher in Naïve case group in comparison to control group (Table 2).
Regarding hepatic texture by ultrasound and fibroscan, sCD163 was statistically significantly higher in cirrhotic patients by ultrasound or F4 by fibroscan than in non-cirrhotic patients (Table 3).
All naive chronic HCV patients got new DAAs for 12 weeks and were evaluated 12 weeks later, with undetectable serum HCV RNA concentrations in all cases (SVR 12). The statistical variations in CBC and liver function tests between pretreatment and 12 weeks after EOT are shown in (Table 4).
On calculating different fibrosis scoring scores (APRI and FIB-4) variations between pretreatment and 12 weeks after EOT shows no statistical significance. While on applying fibroscan there was a significant down-staging in fibrosis score 12 weeks after achieving SVR (Table 5)
A statistically significant decline of sCD163 was seen after achievement of SVR 12 weeks with p value of
A statistically significant positive correlation was noted between sCD163 level before treatment with total and direct bilirubin, INR, HCV-RNA, AFP, APRI, FIB-4, Child-Pugh score, splenic size, PV diameter and fibroscan, and a statistically significant negative correlation with complete blood picture, albumin and liver size (Table 7)
Finally, our study demonstrated the best cut-off value of baseline sCD163 in detection of liver cirrhosis as >6.2 ng/ml with 87.50% sensitivity, 95.83% specificity, 93.3% PPV and 92.0% NPV.
Table (1): Comparison between cases before treatment and control regarding biochemical parameters
|
Groups |
T-Test |
|||
Naïve Patients |
Control |
T |
P-value |
||
Total leucocyte count (10³/ul) |
Range |
2.9-9.2 |
6-8 |
-2.093 |
0.042* |
Mean ±SD |
5.730±1.718 |
6.900±0.738 |
|||
Hemoglobin (g/dl) |
Range |
8.9-14.8 |
11-15 |
-2.852 |
0.006* |
Mean ±SD |
11.398±1.695 |
13.040±1.306 |
|||
Platelet count (10³/ul) |
Range |
70-550 |
340-540 |
-3.056 |
0.004* |
Mean ±SD |
275.175±166.176 |
440.500±72.394 |
|||
AST (IU/L) |
Range |
12-28 |
12-22 |
0.164 |
0.870 |
Mean ±SD |
17.225±4.035 |
17.000±3.091 |
|||
ALT (IU/L) |
Range |
10-24 |
12-23 |
-0.665 |
0.509 |
Mean ±SD |
15.975±3.932 |
16.900±3.957 |
|||
Total Bilirubin (mg/dl) |
Range |
0.4-2.8 |
0.5-1.2 |
2.703 |
0.009* |
Mean ±SD |
1.340±0.557 |
0.850±0.237 |
|||
Direct Bilirubin (mg/dl) |
Range |
0.2-1.9 |
0.3-0.7 |
2.415 |
0.020* |
Mean ±SD |
0.713±0.349 |
0.440±0.117 |
|||
Albumin (g/dl) |
Range |
0.4-4.3 |
3.6-4.2 |
-2.567 |
0.013* |
Mean ±SD |
3.335±0.660 |
3.880±0.187 |
|||
INR |
Range |
1-1.7 |
1-1.2 |
2.424 |
0.019* |
Mean ±SD |
1.216±0.213 |
1.050±0.071 |
|||
Creatinine (mg/dl) |
Range |
0.6-1.1 |
0.6-1.1 |
-0.370 |
0.713 |
Mean ±SD |
0.853±0.130 |
0.870±0.149 |
Table (2): Comparison between patients before treatment and control regarding sCD163 (ng/mL).
SCD 163 |
Groups |
T-Test |
|||
Patients |
Control |
t |
P-value |
||
Before treatment |
Range |
2.5-9.2 |
1.3-2.3 |
6.606 |
<0.001* |
Mean ±SD |
5.748±1.854 |
1.830±0.333 |
Table (3): Comparison between hepatic texture, fibroscan and child score with sCD163 level in patients before treatment.
SCD 163 before treatment |
T-Test or ANOVA |
||||
N |
Mean ±SD |
T or F |
P- Value |
||
Gender |
Male |
24 |
5.571±1.915 |
-0.734 |
0.468 |
Female |
16 |
6.013±1.786 |
|||
Hepatic texture before treatment |
Non-Cirrhotic |
23 |
4.535±1.001 |
-7.451 |
<0.001* |
Cirrhotic |
17 |
7.388±1.424 |
|||
Fibroscan before treatment |
F1 |
10 |
4.360±1.035 |
28.273 |
<0.001* |
F2 |
12 |
4.783±0.945 |
|||
F3 |
2 |
3.650±0.495 |
|||
F4 |
16 |
7.600±1.162 |
|||
Fibroscan before treatment |
F1&2&3 |
24 |
4.513±0.985 |
-9.041 |
<0.001* |
F4 |
16 |
7.600±1.162 |
|||
Child score before treatment |
Child A |
31 |
5.542±1.753 |
1.253 |
0.297 |
Child B |
8 |
6.263±2.182 |
|||
Child C |
1 |
8.000±0.000 |
Table (4): Comparison between different biochemical parameters of patients before and 12 weeks after treatment
Time |
Differences |
Paired Test |
|||||
Before treatment |
12 Weeks After treatment |
Mean |
SD |
T |
P-value |
||
Total leucocyte count (10³/ul) |
Range |
2.9-9.2 |
3-7.2 |
0.365 |
0.834 |
2.767 |
0.009* |
Mean ±SD |
5.730±1.718 |
5.365±1.267 |
|||||
Hemoglobin (g/dl) |
Range |
8.9-14.8 |
9-14.2 |
0.238 |
0.854 |
1.759 |
0.086 |
Mean ±SD |
11.398±1.695 |
11.160±1.512 |
|||||
Platelet count (10³/ul) |
Range |
70-550 |
69-513 |
-7.600 |
41.504 |
-1.158 |
0.254 |
Mean ±SD |
275.175± 166.176 |
282.775±167.821 |
|||||
AST (IU/L) |
Range |
12-28 |
12-24 |
-0.125 |
2.729 |
-0.290 |
0.774 |
Mean ±SD |
17.225±4.035 |
17.350±3.490 |
|||||
ALT (IU/L) |
Range |
10-24 |
10-23 |
-0.350 |
2.348 |
-0.943 |
0.352 |
Mean ±SD |
15.975±3.932 |
16.325±3.892 |
|||||
Total Bilirubin (mg/dl) |
Range |
0.4-2.8 |
0.5-2.7 |
-0.018 |
0.265 |
-0.418 |
0.678 |
Mean ±SD |
1.340±0.557 |
1.358±0.489 |
|||||
Direct Bilirubin (mg/dl) |
Range |
0.2-1.9 |
0.3-1.8 |
-0.048 |
0.184 |
-1.633 |
0.110 |
Mean ±SD |
0.713±0.349 |
0.760±0.302 |
|||||
Albumin (g/dl) |
Range |
0.4-4.3 |
2.4-4.2 |
-0.110 |
0.494 |
-1.408 |
0.167 |
Mean ±SD |
3.335±0.660 |
3.445±0.449 |
|||||
INR |
Range |
1-1.7 |
1-1.7 |
0.041 |
0.130 |
2.014 |
0.051 |
Mean ±SD |
1.216±0.213 |
1.175±0.198 |
|||||
Creatinine (mg/dl) |
Range |
0.6-1.1 |
0.7-1.1 |
-0.039 |
0.146 |
-1.677 |
0.101 |
Mean ±SD |
0.853±0.130 |
0.891±0.100 |
Table (5): Comparison between patients before and 12 weeks after treatment regarding APRI score, FIB-4 score and fibroscan.
Time |
Time |
Differences |
Paired Test |
||||||
Before treatment |
12 Weeks After treatment |
Mean |
SD |
T |
P- value |
||||
APRI |
Range |
0.1-0.6 |
0.1-0.7 |
-0.005 |
0.068 |
-0.467 |
0.643 |
||
Mean ±SD |
0.235±0.163 |
0.240±0.182 |
|||||||
FIB-4 |
Range |
0.22-2.88 |
0.24-3.2 |
-0.012 |
0.186 |
-0.417 |
0.679 |
||
Mean ±SD |
1.063±0.806 |
1.075±0.859 |
|||||||
Fibroscan (Kpa) |
Range |
5-42 |
3-42 |
0.850 |
3.926 |
1.369 |
0.179 |
||
Mean ±SD |
17.175±12.438 |
16.325±13.490 |
|||||||
Fibroscan |
Before Treatment |
12 Weeks After treatment |
Chi-Square |
||||||
N |
% |
N |
% |
X2 |
P-value |
||||
F0 |
0 |
0.00 |
5 |
12.50 |
9.699 |
0.046* |
|||
F1 |
10 |
25.00 |
14 |
35.00 |
|||||
F2 |
12 |
30.00 |
4 |
10.00 |
|||||
F3 |
2 |
5.00 |
2 |
5.00 |
|||||
F4 |
16 |
40.00 |
15 |
37.50 |
|||||
Total |
40 |
100.00 |
40 |
100.00 |
|||||
Table (6): Comparison between patients before and 12 weeks after treatment regarding sCD163
Time |
SCD 163(ng/ml) |
Differences |
P-value |
|||||||
Range |
Mean |
± |
SD |
Mean |
SD |
|||||
Before treatment |
2.5-9.2 |
5.748 |
± |
1.854 |
1.725 |
1.478 |
<0.001* |
|||
12 Weeks After treatment |
0.9-9.8 |
|
|
4.023 |
± |
2.814 |
||||
Table (7): Correlation between sCD163 and all other parameters in patients before treatment
Correlations |
||
SCD 163 Before treatment |
||
R |
P-value |
|
Age |
0.246 |
0.126 |
TLC Before treatment |
-0.723 |
<0.001* |
HB Before treatment |
-0.541 |
<0.001* |
PLT Before treatment |
-0.685 |
<0.001* |
AST Before treatment |
-0.163 |
0.315 |
ALT Before treatment |
-0.053 |
0.744 |
T.BIL Before treatment |
0.569 |
<0.001* |
D.BIL Before treatment |
0.566 |
<0.001* |
ALB. Before treatment |
-0.434 |
0.005* |
INR Before treatment |
0.767 |
<0.001* |
PCR-HCV Before treatment |
0.455 |
0.003* |
AFP Before treatment |
0.723 |
<0.001* |
APRI Before treatment |
0.754 |
<0.001* |
FIB-4 Before treatment |
0.748 |
<0.001* |
Child pugh score Before treatment |
0.356 |
0.024* |
Liver size (cm) Before treatment |
-0.635 |
<0.001* |
Splenic size (cm) Before treatment |
0.726 |
<0.001* |
PV Diameter (mm) Before treatment |
0.758 |
<0.001* |
Fibroscan (Kpa) Before treatment |
0.815 |
<0.001* |
Table (8): ROC curve of best cut off value of baseline sCD163 in differentiation between non-cirrhotic (F1+F2+F3) and cirrhotic (F4) patients
ROC curve between F1&2&3 and F4 |
|||||
Cutoff |
Sens. |
Spec. |
PPV |
NPV |
Accuracy |
>6.2 |
87.50 |
95.83 |
93.3 |
92.0 |
97.4% |
Figure (1): ROC curve of sCD163 before treatment
Discussion
Over 80 million people worldwide are infected with HCV [10]. It promotes inflammation and hence carcinogenesis. Therefore, even in cirrhotic patients, resolving HCV infection should result in lower incidence of HCC [11].
The advent of oral DAAs has changed HCV prognosis, SVR12 has been linked to improved liver function as well as decline in clinical consequences and mortality [12].
And because data about alterations in liver fibrosis following DAAs are few, and follow-up is still limited, the actual effect is based on data from interferon-based studies that suppose that fibrosis regression or resolution occur slowly within years [13], and that regression of cirrhosis is uncertain [14,15].
CD163 is a hemoglobin scavenger receptor produced by monocytes and macrophages [16]. On cellular activation and inflammation, its soluble form (sCD163) can be identified in serum or plasma [17]. Furthermore, sCD163 is highly expressed by Kupffer cells, suggesting that its serum levels may reflect chronic hepatic inflammation [18].
Soluble CD163 is a well-known marker of portal hypertension and liver disease severity [19,20]. Furthermore, in chronic HCV infection, strong relationships between cytotoxic activity, histological inflammation, and fibrosis have been found [21]. Macrophage activity is reduced after chronic HBV antivirals and HCV interferon treatment, which coincides with reduction in hepatic inflammation [22, 23].
This study aimed to assess the accuracy of soluble CD163 in detecting regression of hepatic fibrosis in HCV patients treated with DAAs in comparison to standard fibrosis detecting methods.
In this study, chronic HCV infection was more prevalent in males than females, where the total studied subjects comprised 30 males (60%) and 20 females (40%). This was in conformity with the findings of the Egyptian Demographic Health Survey conducted in 2008 and 2015 [24]. This may be attributed to a higher chance of exposure to risk factors for contracting HCV amongst males as compared to females.
Patients’ age ranged from 24 to 59 years with the mean of 41.8±10.146 and controls age ranged from 21 to 58 years with the mean of 36.6±12. This finding is affirmed by the Egyptian demographic health survey conducted in 2008 and 2015 which concluded that chronic HCV prevalence is highest amongst the 45-49 years old age group [24].
The present study showed that complete blood picture parameters were significantly lower in chronic HCV patients than in controls, this is keeping with results of Qamar and Grace[25] who stated that abnormal blood indices in chronic liver disease patients is due to many factors as portal hypertension, alteration of the synthetic bone marrow hormones as granulocyte colony stimulating factor, erythropoietin and thrombopoietin, or bone marrow suppression mediated by toxins.
Our results showed significant higher bilirubin and INR and lower albumin levels among chronic HCV patients when compared to control. These findings are recognized surrogate markers of disease severity reflecting derangements in overall hepatic synthetic function [26]. This in keeping with the results of Sajjadieh and Viunytska[27]who stated that higher bilirubin and prothrombin time in hepatic patients is due to impaired conjugation and excretion as a sign of liver decompensation.
This was also in accordance with Bruno et al. [28] who stated that liver function is compromised due to chronic hepatic inflammation and structural alterations leading to loss of functional liver mass.
In the present study, sCD163 level was higher in chronic HCV patients before treatment (5.748±1.854) in comparison to control (1.83±0.333) with p value <0.001, and this goes in conformity with Mascia et al. [29] who stated that even in early stages of HCV-related fibrosis, sCD163 plasma concentrations were greater in HCV patients than in controls, implying systemic immune activation and inflammation and proving that sCD163 plays a crucial role in HCV infection pathogenesis [23].
sCD163 levels were also higher in patients with advanced fibrosis (F4) than in early fibrosis patients (F1-F3) with p value <0.001, these results are in accordance with Kazankov et al. [30], and withAndersen et al.[31]who found that sCD163 levels were elevated in patients with HCV-related cirrhosis (F4) compared to those with minimal or no fibrosis(F0-F2) showing that sCD163 may play a role in assessing the severity of hepatitis. However. patients with milder disease still have elevated sCD163, implying macrophage activation even in moderate disease, albeit to a lesser extent [30].
In the current study, sCD163 levels in HCV patients before treatment ranged from 2.5 to 9.2 ng/ml with mean of 5.74±1.85 and its level declined significantly 12 weeks after treatment to range from 0.9 to 9.8 ng/ml with mean of 4.02±2.81 although this reduction did not reach control group levels ranging from 1.3 to 2.3 ng/ml with mean of 1.83 ±0.33, these results are in accordance with Laursen et al. [22] who discovered 32% reduction in sCD163 levels from 7.4(6.3-8.7) to 5(4.3-5.8) at SVR 12, and stated that the decline was rapid and persisted 12 months after treatment termination which is parallel to the decrease of inflammatory activity and fibrosis.
while following fibrosis using biomarker-based fibrosis methods, APRI and FIB-4 scores didn’t show statistically significant improvement 12 weeks after EOT. These results are in contradiction with studies conducted by Knop et al. [32] and Elsharkawy et al. [33] who showed significant improvement of the scores following SVR, and this could be attributed to low sample size of our studied population.
On screening for fibrosis regression with transient elastography (FibroScan®) prior to DAAs treatment and 12 weeks after EOT. We found insignificant decline in overall fibroscan measurement (from 17.17±12.43 to 16.32±13.49) Kpa. And this goes in contradiction with what Rout et al. [34] found that there was a significant reduction in fibrosis from baseline value of 5.3-13.8 Kpa to 4.8-11.2 Kpa 12 weeks after EOT with a median decline 0.7 (-0.6-2.6) Kpa. Other studies had also shown decreasing liver stiffness with DAA therapy [35,36].
This contradiction may be attributed to higher degrees of fibrosis in our studied population or due to short duration of follow up. as a meta-analysis of alterations in liver stiffness after interferon and DAA therapy, showed a mean decline of 2.4 kPa at EOT, 3.1 kPa within the first six months, and 4.1 kPa more than one year later. speculating that the initial decline is due to partial inflammation resolution and that subsequent decline pertains to fibrosis regression, which is supported by much reduction in patients with high baseline inflammation [37].
However. We found that before treatment, ten patients were F1 (25%), twelve were F2 (30%), two were F3 (5%) and sixteen were F4 (40%). while at SVR12, five patients became F0 (12.5%), fourteen became F1 (35%), four became F2 (10%), two became F3(5%) and fifteen became F4 (37%) with P-value 0.046 denoting that overall fibrosis staging improved after the successful HCV eradication, and these results agreed with those of Pan et al. [38] who discovered significant improvement in liver stiffness with at least one stage of fibrosis in 62% of HCV patients with advanced fibrosis after achieving SVR.
sCD163 concentration before treatment was found to show a significant positive correlation with total and direct bilirubin, INR, PCR-HCV, AFP, APRI, FIB-4, child score, splenic size, PV diameter and fibroscan, and a significant negative correlation with complete blood picture, albumin and liver size
This correlation with different fibrosis assessment methods like Fibroscan, APRI and FIB-4 scores suggest that sCD163 is a promising marker of detecting fibrosis and monitoring its regression [39].
While sCD163 correlation with different liver function tests, Child-pugh score, sonographic findings denoting cirrhosis, portal hypertension and decompensation allowing it to be a promising determinant of HCV related complications [40,41].
Of note, sCD163 did not correlate with ALT suggesting that HCV induced injury is not mediated solely with activated macrophage pathways [42].
Finally, our study demonstrated the diagnostic performance of the best cut-off value of baseline sCD163 in detection of F4 liver cirrhosis as >6.2 ng/ml yielded sensitivity of 87.50%, specificity of 95.83%, 93.3% PPV and 92.0% NPV.
In conclusion sCD163 declines with successful DAA therapy and this is associated with fibrosis regression, confirming the role of macrophages in HCV inflammation and fibrosis and supporting sCD163 promising role in monitoring treatment response in terms of fibrosis regression.
Abbreviations
HCV: Hepatitis C virus; DAAs: Direct acting antiviral agents; SVR: Sustained virologic response; EOT: End of treatment; APRI: AST to platelets index; FIB-4: Fibrosis-4 score; NPV: Negative predictive value; PPV: Positive predictive value; HCC: Hepatocellular carcinoma.