Literature DB >> 33006798

Rates and characteristics of SARS-CoV-2 infection in persons with hepatitis C virus infection.

Adeel A Butt1,2,3,4, Peng Yan1.   

Abstract

BACKGROUND: Rate of SARS-CoV-2 infection and impact of liver fibrosis stage upon infection rates in persons with hepatitis C virus (HCV) infection are unknown.
METHODS: We retrospectively analysed the Electronically Retrieved Cohort of HCV Infected Veterans (ERCHIVES), a well-established database of HCV-infected Veterans in care. We excluded those with missing FIB-4 score and those with HIV or hepatitis B virus co-infection. We determined the number of persons tested, proportion who tested positive for SARS-CoV-2 and the infection rate by age and liver fibrosis stage.
RESULTS: Among 172,235 persons with HCV, 14,305 (8.3%) were tested for SARS-CoV-2 infection and 892 (6.2%) tested positive. Those with SARS-CoV-2 infection were older, more likely to be Black (55.2% vs 37.8%), obese (body mass index >30 kg/m2 36.2% vs 29.7%) and have diabetes or stroke (P < .0001 for all comparisons). Mean FIB-4 scores and proportion of persons with cirrhosis (based on a FIB-4 > 3.25) were similar in both groups. Incidence rate/1,000 tested persons was much higher among Blacks (88.4; 95% CI 81.1, 96.2) vs Whites (37.5; 95% CI 33.1, 42.4) but similar among those with cirrhosis (FIB-4 > 3.25). The rates were also similar among those who were untreated for HCV vs those treated with or without attaining a sustained virologic response.
CONCLUSIONS: Testing rates among persons with HCV are very low. Persons with infection are more likely to be Black, have a higher body mass index and diabetes or stroke. The degree of liver fibrosis does not appear to have an impact on infection rate.
© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  ERCHIVES; SARS-CoV-2; hepatitis C virus; liver fibrosis

Mesh:

Year:  2020        PMID: 33006798      PMCID: PMC7537048          DOI: 10.1111/liv.14681

Source DB:  PubMed          Journal:  Liver Int        ISSN: 1478-3223            Impact factor:   8.754


Testing rates among persons with HCV are very low. Persons with HCV who have COVID‐19 infection are more likely to be Black, have a higher body mass index and diabetes or stroke. The degree of liver fibrosis does not appear to have an impact on infection rate.

INTRODUCTION

As of 9 August 2020, >20 million persons have been infected and over 730 000 have died of SARS‐CoV‐2 infection worldwide. While infection rates appear to have diminished significantly in some countries, the pandemic rages on in others, particularly in the Americas. While primarily a respiratory illness, SARS‐CoV‐2 may affect multiple organ systems. Effects on cardiovascular, renal, gastrointestinal, hepatic, , endocrine and neurologic systems have been reported. Gastrointestinal symptoms may be present in up to 15% of patients and abnormal liver enzymes in up to 36% of the hospitalized patients. , The incidence of SARS‐CoV‐2 infection among persons with hepatitis C virus (HCV) infection, and its association with degree of liver fibrosis are unknown. Whether persons with HCV experience more severe disease or higher mortality is also unknown. We undertook this study to determine the infection rate and clinical characteristics of SARS‐CoV‐2 infection among persons with HCV infection.

MATERIALS AND METHODS

We used the Electronically Retrieved Cohort of HCV Infected Veterans (ERCHIVES) for the current study. Creation of ERCHIVES has been described in numerous previous publications. , , , , , Briefly, all Veterans with a positive HCV antibody test from 2001 onwards are identified through the VA Corporate Data Warehouse (CDW). Age‐, sex‐ and race‐matched controls are identified based on a negative HCV antibody test in the same year. Clinical, laboratory, pharmacy, anthropometric and vital signs data are retrieved for each case and control using established definitions and algorithms. Smoking status is retrieved from the Health Factors dataset. Mortality data are cross‐validated and cause of death data are retrieved from the Centers for Disease Control and Prevention's National Death Index. Data are updated annually to include Veterans with newly diagnosed HCV and corresponding controls. For the current study, we identified all Veterans in the ERCHIVES database with a positive HCV antibody as well as a positive HCV RNA. We excluded those with missing laboratory values to calculate the FIB‐4 score as the marker for liver fibrosis stage. We also excluded those with HIV or hepatitis B virus co‐infection. Comorbidities were defined using established and published definitions. , , , , , The diagnosis of SARS‐CoV‐2 infection was confirmed from the VA CDW, where a standard nasopharyngeal swab is tested using RT‐PCR to confirm the diagnosis. Liver fibrosis stage was calculated using the FIB‐4 score using an average of two values closest to but before baseline. We compared the baseline characteristics of all Veterans with HCV in the ERCHIVES cohort who were diagnosed with SARS‐CoV‐2 with those who tested negative for SARS‐CoV‐2. We calculated incidence rates per 1000 persons with 95% confidence intervals by age group, sex, race, liver fibrosis stage and HCV treatment status. We used SAS® (version 9.4, SAS Institute Inc.) for analyses. The study was approved by the Institutional Review Board at VA Pittsburgh Healthcare System, Pittsburgh, PA.

RESULTS

Among 781 271 persons in the ERCHIVES database, 190 771 had a positive HCV antibody and at least one positive HCV RNA. After excluding 13 529 with missing laboratory values to calculate the FIB‐4 score, 3227 with HIV co‐infection and 1780 with HBV co‐infection, there were 172 235 persons in the final evaluable sample (Figure 1). Among these, 14 305 (8.3%) Veterans were tested for SARS‐CoV‐2 infection. Among those tested, 892 (6.2%) tested positive. Baseline characteristics of persons with and without SARS‐CoV‐2 infection compared are provided in Table 1. Compared with those without SARS‐CoV‐2 infection, those with SARS‐CoV‐2 were older (median age 61 vs 60 years), more likely to be Black (55.2% vs 37.8%), obese (% with body mass index >30 kg/m2 36.2% vs 29.7%) and more likely to have a diagnosis of diabetes and stroke (P < .0001 for all comparisons). Mean FIB‐4 scores and proportion of persons with advanced fibrosis or cirrhosis (based on a FIB‐4 > 3.25) were similar in both groups. Proportion of persons treated for HCV (70.4% vs 71.3%; P = .5) and proportion who had attained sustained virologic response among those treated (91.7% vs 92.0%; P = .8) were also similar among those with SARS‐CoV‐2 infection compared with those without infection (Table 1).
FIGURE 1

Study flow sheet and cohort construction

TABLE 1

Baseline characteristics of HCV+ persons with and without SARS‐CoV‐2 infection

SARS‐CoV‐2 POSSARS‐CoV‐2 NEG P‐value
N = 892N = 13,413
Median age, y (IQR)61 (56, 65)60 (55, 64)<.0001
Race, %<.0001
White28.14%47.98%
Black55.16%37.81%
Hispanic5.27%4.03%
Other/unknown11.43%10.18%
Sex, % male95.96%95.74%.74
Body mass index
Mean, SD28.4 (5.8)27.9 (5.8).02
>3036.22%29.69%<.0001
Median HCV RNA, log10 (IQR)5.8 (1.3, 7.1)5.8 (1.2, 7.3).35
FIB‐4 score
Mean FIB‐4 score (SD)2.4 (2.6)2.5 (3.2).84
FIB‐4 > 3.25, %15.25%17.33%.11
Comorbidities, %
Hypertension66.37%63.25%.06
Diabetes35.09%28.41%<.0001
Coronary artery disease0.45%0.57%.63
Stroke7.29%4.20%<.0001
Cancer10.65%10.86%.84
Chronic obstructive pulmonary disease14.80%14.53%.83
Smoking, %<.0001
Current46.41%59.26%
Former27.91%21.32%
Never21.52%15.78%
Unknown4.15%3.64%
Alcohol use disorder, %22.87%28.20%.001
Drug use disorder, %28.92%35.47%<.0001
Treated for HCV, %70.40%71.33%.55
Attained sustained virologic response, %91.73%92.02%.80
Admitted to hospital35.87%30.49%.001
Admitted to ICU12.33%6.93%<.0001
Died6.17%1.71%<.0001
Study flow sheet and cohort construction Baseline characteristics of HCV+ persons with and without SARS‐CoV‐2 infection The overall incidence rate per 1000 HCV‐infected persons (95% CI) was 62.4 (58.4, 66.4) (Table 2). Incidence rate was much higher among Blacks (88.4; 95% 81.1, 96.2) compared with Whites (37.5; 95% CI 33.1, 42.4) with no overlap in 95% confidence intervals. The incidence rates per 1000 HCV‐infected persons increased with increasing age with rate of 24.0 among those 18‐50 years old, 52.7 among >50‐60 years old, 60.7 among >60‐70 years old and 80.1 among >70 year old age groups. The incidence rate per 1000 HCV‐infected persons was 57.6 (95% CI 51.5, 64.2) among those with FIB‐4 < 1.45 (minimal or no fibrosis), 68.9 (95% CI 62.9, 75.4) among those with FIB‐4 of 1.45‐3.25 and 55.3 (95% CI 46.6, 65.1) among those with FIB‐4 > 3.25 (significant fibrosis or cirrhosis). The rates were similar among those who were untreated for HCV compared with those treated and attained sustained virologic response and those treated and did not attain a sustained virologic response (Table 2).
TABLE 2

Incidence rates per 1,000 persons of COVID‐19 infection in various subgroups

HCV+ (N = 14,305)
NRate (95% CI)
Overall89262.4 (58.4, 66.4)
Males85662.5 (58.5, 66.7)
Females3659.2 (41.8, 81)
Race
White25137.5 (33.1, 42.4)
Black49288.4 (81.1, 96.2)
Hispanic4779.9 (59.3, 104.9)
Other/unknown10269.5 (57, 83.8)
Age group
18‐501724 (14, 38.1)
>50‐609552.7 (42.8, 64)
>60‐7051460.7 (55.7, 66)
>7026680.1 (71.1, 89.8)
HCV treatment
Untreated26464.2 (56.9, 72.2)
Treated with SVR52161.4 (56.4, 66.7)
Treated without SVR4763.7 (47.2, 83.8)
Treated with SVR missing6061.9 (47.5, 78.9)
Liver fibrosis stage
FIB‐4 < 1.4530857.6 (51.5, 64.2)
FIB‐4 1.45‐3.2544868.9 (62.9, 75.4)
FIB‐4 > 3.2513655.3 (46.6, 65.1)
Mortality
Overall553.8 (2.9, 5)
Among hospitalized322.2 (1.5, 3.2)
Among ICU191.3 (0.8, 2.1)
Incidence rates per 1,000 persons of COVID‐19 infection in various subgroups We compared the incidence rate of SARS‐CoV‐2 infection in our HCV‐positive group with persons without HCV infection. The latter group consisted of all persons in ERCHIVES with a negative HCV antibody test and a negative HCV RNA (if done). Similar to the group with HCV, we excluded those with HIV and HBV co‐infection and retained those with laboratory data to calculate FIB‐4 score at baseline. Among 347 117 persons without HCV infection, the overall SARS‐CoV‐2 incidence rate per 1000 persons was 3.7 (95% CI 3.5, 3.9; P = 0.8 compared with HCV+ group). All‐cause mortality rate during the follow‐up period was 0.3/1000 persons for both groups (P = 0.6).

DISCUSSION

To our knowledge, this is the first study describing the testing rate and the incidence of SARS‐CoV‐2 infection in a large national population of persons with HCV infection. We also describe factors associated with infection. We found that the persons with SARS‐CoV‐2 infection were more likely to be Black, have a higher body mass index and have diabetes or stroke. Higher rates of infection and poorer clinical outcomes have been described in racial/ethnic minorities and those with comorbidities. More recently, obesity has emerged as an independent risk factor for more severe disease. These associations have not been previously reported in persons with HCV infection. While our current study did not determine the impact of these factors upon mortality or severity of illness, the higher rate of infection coupled with existing literature of their impact upon outcomes should prompt an aggressive testing and monitoring strategy in these persons. Several small studies (50‐363 patients) have assessed the impact of liver disease and/or cirrhosis upon severity of SARS‐CoV‐2 infection and overall mortality. , , , , Presence of advanced fibrosis as measured by the FIB‐4 score, clinical liver disease or cirrhosis are all associated with a higher risk of more severe disease or higher mortality. The cause of liver disease, and more specifically the presence of HCV infection were not uniformly reported. Furthermore, there are no estimates of testing for SARS‐CoV‐2 and infection rates among persons with HCV and the impact of liver fibrosis or cirrhosis upon the testing or infection rates. We found that the degree of liver fibrosis as measured by the non‐invasive FIB‐4 score was identical and a similar proportion had advanced fibrosis or cirrhosis. Incidence rate was also similar regardless of the liver fibrosis stage at baseline. Additionally, treatment of HCV and attainment of sustained virologic response did not seem to affect the rate of infection. Strengths of our study include a large national sample with relatively easy and free access to testing. However, lack of widespread testing limits the generalizability of our findings. Some Veterans may have been tested outside the VA healthcare system which may have skewed the results. Effect of various factors upon severity of disease and mortality requires further study.

CONCLUSIONS

This study provides compelling data regarding SARS‐CoV‐2 infection in persons with HCV infection with several notable points for clinicians and policymakers. The overall testing rate in persons with HCV is extremely low. When tested, infection appears to disproportionately affect minorities, obese persons and those with certain comorbidities. However, degree of liver fibrosis does not appear to increase the risk of infection. Similarly, infection rates are comparable among those who never received HCV treatment and those who received treatment with or without the attainment of viral eradication.

CONFLICT OF INTEREST

All authors have no potential conflict of interest to disclose.

AUTHOR CONTRIBUTION

AAB: Study design, data acquisition, data interpretation and writing of the manuscript; PY: Data acquisition and data analysis.

AUTHORSHIP STATEMENT

Dr Butt had complete access to data at all times and accepts the responsibility of the integrity of this article.
  19 in total

1.  The short-term incidence of hepatocellular carcinoma is not increased after hepatitis C treatment with direct-acting antivirals: An ERCHIVES study.

Authors:  Darrick K Li; Yanjie Ren; Daniel S Fierer; Stephanie Rutledge; Obaid S Shaikh; Vincent Lo Re; Tracey Simon; Abdul-Badi Abou-Samra; Raymond T Chung; Adeel A Butt
Journal:  Hepatology       Date:  2018-04-19       Impact factor: 17.425

2.  Renal complications in COVID-19: a systematic review and meta-analysis.

Authors:  Setor K Kunutsor; Jari A Laukkanen
Journal:  Ann Med       Date:  2020-07-10       Impact factor: 4.709

3.  Atorvastatin and fluvastatin are associated with dose-dependent reductions in cirrhosis and hepatocellular carcinoma, among patients with hepatitis C virus: Results from ERCHIVES.

Authors:  Tracey G Simon; Hector Bonilla; Peng Yan; Raymond T Chung; Adeel A Butt
Journal:  Hepatology       Date:  2016-03-25       Impact factor: 17.425

4.  Incidence and Progression of Chronic Kidney Disease After Hepatitis C Seroconversion: Results from ERCHIVES.

Authors:  Shari S Rogal; Peng Yan; David Rimland; Vincent Lo Re; Hind Al-Rowais; Linda Fried; Adeel A Butt
Journal:  Dig Dis Sci       Date:  2015-11-02       Impact factor: 3.199

5.  Treatment of HCV reduces viral hepatitis-associated liver-related mortality in patients: An ERCHIVES study.

Authors:  Adeel Ajwad Butt; Peng Yan; Obaid S Shaikh; Vincent Lo Re; Abdul-Badi Abou-Samra; Kenneth E Sherman
Journal:  J Hepatol       Date:  2020-03-05       Impact factor: 25.083

6.  High rates of 30-day mortality in patients with cirrhosis and COVID-19.

Authors:  Massimo Iavarone; Roberta D'Ambrosio; Alessandro Soria; Michela Triolo; Nicola Pugliese; Paolo Del Poggio; Giovanni Perricone; Sara Massironi; Angiola Spinetti; Elisabetta Buscarini; Mauro Viganò; Canio Carriero; Stefano Fagiuoli; Alessio Aghemo; Luca S Belli; Martina Lucà; Marianna Pedaci; Alessandro Rimondi; Maria Grazia Rumi; Pietro Invernizzi; Paolo Bonfanti; Pietro Lampertico
Journal:  J Hepatol       Date:  2020-06-09       Impact factor: 25.083

7.  Gastrointestinal involvement in COVID-19: a systematic review and meta-analysis.

Authors:  Theodore Rokkas
Journal:  Ann Gastroenterol       Date:  2020-06-06

8.  Pre-existing liver disease is associated with poor outcome in patients with SARS CoV2 infection; The APCOLIS Study (APASL COVID-19 Liver Injury Spectrum Study).

Authors:  Shiv Kumar Sarin; Ashok Choudhury; George K Lau; Ming-Hua Zheng; Dong Ji; Sherief Abd-Elsalam; Jaeseok Hwang; Xiaolong Qi; Ian Homer Cua; Jeong Ill Suh; Jun Gi Park; Opass Putcharoen; Apichat Kaewdech; Teerha Piratvisuth; Sombat Treeprasertsuk; Sooyoung Park; Salisa Wejnaruemarn; Diana A Payawal; Oidov Baatarkhuu; Sang Hoon Ahn; Chang Dong Yeo; Uzziel Romar Alonzo; Tserendorj Chinbayar; Imelda M Loho; Osamu Yokosuka; Wasim Jafri; Soeksiam Tan; Lau Ing Soo; Tawesak Tanwandee; Rino Gani; Lovkesh Anand; Eslam Saber Esmail; Mai Khalaf; Shahinul Alam; Chun-Yu Lin; Wan-Long Chuang; A S Soin; Hitendra K Garg; Kemal Kalista; Badamnachin Batsukh; Hery Djagat Purnomo; Vijay Pal Dara; Pravin Rathi; Mamun Al Mahtab; Akash Shukla; Manoj K Sharma; Masao Omata
Journal:  Hepatol Int       Date:  2020-07-04       Impact factor: 6.047

9.  New-Onset Diabetes in Covid-19.

Authors:  Francesco Rubino; Stephanie A Amiel; Paul Zimmet; George Alberti; Stefan Bornstein; Robert H Eckel; Geltrude Mingrone; Bernhard Boehm; Mark E Cooper; Zhonglin Chai; Stefano Del Prato; Linong Ji; David Hopkins; William H Herman; Kamlesh Khunti; Jean-Claude Mbanya; Eric Renard
Journal:  N Engl J Med       Date:  2020-06-12       Impact factor: 91.245

10.  Outcomes of Cardiovascular Magnetic Resonance Imaging in Patients Recently Recovered From Coronavirus Disease 2019 (COVID-19).

Authors:  Valentina O Puntmann; M Ludovica Carerj; Imke Wieters; Masia Fahim; Christophe Arendt; Jedrzej Hoffmann; Anastasia Shchendrygina; Felicitas Escher; Mariuca Vasa-Nicotera; Andreas M Zeiher; Maria Vehreschild; Eike Nagel
Journal:  JAMA Cardiol       Date:  2020-11-01       Impact factor: 14.676

View more
  9 in total

1.  Mortality is not increased in SARS-CoV-2 infected persons with hepatitis C virus infection.

Authors:  Adeel A Butt; Peng Yan; Rashid A Chotani; Obaid S Shaikh
Journal:  Liver Int       Date:  2021-02-16       Impact factor: 8.754

2.  Antibody Responses after SARS-CoV-2 Vaccination in Patients with Liver Diseases.

Authors:  Athanasios-Dimitrios Bakasis; Kleopatra Bitzogli; Dimitrios Mouziouras; Abraham Pouliakis; Maria Roumpoutsou; Andreas V Goules; Theodoros Androutsakos
Journal:  Viruses       Date:  2022-01-21       Impact factor: 5.048

3.  Viral Coinfection among COVID-19 Patient Groups: An Update Systematic Review and Meta-Analysis.

Authors:  Pooneh Malekifar; Reza Pakzad; Ramin Shahbahrami; Milad Zandi; Ali Jafarpour; Sara Akhavan Rezayat; Samaneh Akbarpour; Alireza Namazi Shabestari; Iraj Pakzad; Elahe Hesari; Abbas Farahani; Saber Soltani
Journal:  Biomed Res Int       Date:  2021-09-03       Impact factor: 3.411

4.  Vaccine Effectiveness of 3 Versus 2 Doses of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) mRNA Vaccines in a High-Risk National Population.

Authors:  Adeel A Butt; Victor B Talisa; Peng Yan; Obaid S Shaikh; Saad B Omer; Florian B Mayr
Journal:  Clin Infect Dis       Date:  2022-08-24       Impact factor: 20.999

Review 5.  COVID-19-associated liver injury: Clinical characteristics, pathophysiological mechanisms and treatment management.

Authors:  Penghui Li; Ying Liu; Ziqi Cheng; Xiaorui Yu; Yinxiong Li
Journal:  Biomed Pharmacother       Date:  2022-08-17       Impact factor: 7.419

6.  Outcomes among patients with breakthrough SARS-CoV-2 infection after vaccination in a high-risk national population.

Authors:  Adeel A Butt; Peng Yan; Obaid S Shaikh; Florian B Mayr
Journal:  EClinicalMedicine       Date:  2021-08-28

Review 7.  Liver injury, SARS-COV-2 infection and COVID-19: What physicians should really know?

Authors:  Anna Licata; Maria Giovanna Minissale; Marco Distefano; Giuseppe Montalto
Journal:  GastroHep       Date:  2021-05-03

8.  Racial disparities in COVID-19 pandemic cases, hospitalisations, and deaths: A systematic review and meta-analysis.

Authors:  William Mude; Victor M Oguoma; Tafadzwa Nyanhanda; Lillian Mwanri; Carolyne Njue
Journal:  J Glob Health       Date:  2021-06-26       Impact factor: 4.413

9.  Rates and characteristics of SARS-CoV-2 infection in persons with hepatitis C virus infection.

Authors:  Adeel A Butt; Peng Yan
Journal:  Liver Int       Date:  2020-10-10       Impact factor: 8.754

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.