Laboratory Profile of COVID-19 Patients with Hepatitis C-Related Liver Cirrhosis
by
, , ,
Bianca Cerbu
1, 
Mirela Loredana Grigoras
1,*,
Felix Bratosin
1
,
Iulia Bogdan
1,
Cosmin Citu
1,
Adrian Vasile Bota
1
,
Madalina Timircan
1,
Melania Lavinia Bratu
1,2,
Mihaela Codrina Levai
1,3 and
Iosif Marincu
1 
1
Methodological and Infectious Diseases Research Center, Department of Infectious Diseases, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
2
Department of Psychology, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
3
Research Center for Medical Communication, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2022, 11(3), 652; https://doi.org/10.3390/jcm11030652
Submission received: 18 December 2021
/
Revised: 14 January 2022
/
Accepted: 26 January 2022
/
Published: 27 January 2022
(This article belongs to the Special Issue Clinical Impact of COVID-19 on Liver Diseases)
Abstract
:Patients with cirrhosis are known to have multiple comorbidities and impaired organ system functioning due to alterations caused by chronic liver failure. In the past two years, since the COVID-19 pandemic started, several studies have described the affinity of SARS-CoV-2 with the liver and biliary cells. Considering hepatitis C as a significant independent factor for cirrhosis in Romania, this research was built on the premises that this certain group of patients is susceptible to alterations of their serum parameters that are yet to be described, which might be useful in the management of COVID-19 in these individuals. A retrospective cohort study was developed at a tertiary hospital for infectious disease in Romania, which included a total of 242 patients with hepatitis C cirrhosis across two years, out of which 46 patients were infected with SARS-CoV-2. Stratification by patient weight and COVID-19 status identified several important laboratory serum tests as predictors for acute-on-chronic liver failure and risk for intensive care unit admission. Thus, white blood cell count, lymphocyte count, ferritin, hypoglycemia, prothrombin time, and HCV viral load were independent risk factors for ACLF in patients with COVID-19. High PT, creatinine, BUN, and HCV viral load were the strongest predictors for ICU admission. Inflammatory markers and parameters of gas exchange were also observed as risk factors for ACLF and ICU admission, including procalcitonin, CRP, IL-6, and D-dimers. Our study questions and confirms the health impact of COVID-19 on patients with cirrhosis and whether their laboratory profile significantly changes due to SARS-CoV-2 infection.
1. Introduction
The clinical manifestations of severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) range from asymptomatic infection to life-threatening illness [1]. It is still uncertain why some patients infected with SARS-CoV-2 evolve to develop severe, life-threatening forms of coronavirus disease 2019 (COVID-19), whilst others have a mild or even asymptomatic clinical history. Numerous risk factors for severe COVID-19 illness have been discovered, including sociodemographic characteristics and concurrent disorders [2]. Hepatic involvement is common in SARS-CoV-2 infection, presenting clinically as increased liver function tests or sudden hepatic failure [3]. In patients with pre-existing chronic liver diseases or cirrhosis, SARS-CoV-2 infection has had inconsistent effects. Previously published small-scale studies from tertiary referral centers suggested that patients with cirrhosis who were infected with SARS-CoV-2 died at a rate of up to 40% [4]. However, other studies have shown that patients with cirrhosis who tested positive for SARS-CoV-2 infection died at a rate equivalent to those hospitalized with cirrhosis-related complications who did not test positive for SARS-CoV-2 infection [5].
In the 2018 census, more than 37 thousand new cases of hepatitis C were recorded in countries of the European Union [6], bringing the overall prevalence to 19 million cases [7] and over 70 million cases globally [8]. Since the pandemic began in 2019, there has been concern that pre-existing chronic liver disease (CLD) may predispose individuals to poor outcomes following SARS-CoV-2 infection, particularly given the overlapping risk factors for severe COVID-19 and CLD, such as advancing age, obesity, and diabetes [9,10]. The presence of a pre-existing liver condition associated with SARS-CoV-2 infection, such as hepatitis C virus (HCV), may be critical for patient prognosis, since chronic hepatitis C continues to be a health burden in a number of European nations. While the precise effect of COVID-19 on the liver is unclear, abnormalities in liver biochemistry are common in COVID-19 cases, occurring in 15–65% of SARS-CoV-2-infected individuals [11].
In our present research, we focused on determining the possible changes in serum parameters and liver function markers, which show abnormalities in routine laboratory testing, and the relationship between cirrhosis and the severity of COVID-19. We describe the possible relationship between the clinical course, laboratory findings, and the outcome of 46 patients admitted in our department with documented cirrhosis and SARS-CoV-2 infection.
2. Materials and Methods
We conducted a retrospective cohort study to determine the risk of severe COVID-19 infection in patients with post-hepatitis C cirrhosis who had been infected with SARS-CoV-2. We used clinical and laboratory data from patients hospitalized at Timisoara’s Infectious Diseases and Pulmonology Hospital, “Victor Babes”. The data gathering period was from 1 April 2020 to 1 December 2021. We discovered 46 instances of SARS-CoV-2 infection among 242 patients with cirrhosis who were being followed at our clinic.
Patients with hepatitis C cirrhosis exhibit unique clinical signs and symptoms such as ascites, abdominal wall vascular collaterals, hypertrophic osteoarthropathy, clubbing, and asterixis on physical examination [12]. Weakness, weariness, anorexia, and weight loss are all constitutional signs [13]. The hospitals also conducted ultrasonography and liver biopsies, and microscopically interpreted sample slides revealed evidence of regenerating nodules of hepatocytes, surrounded by fibrous connective tissue that bridges between portal tracts, confirming the diagnosis of cirrhosis. The inclusion criteria were set for patients diagnosed exclusively with non-alcoholic cirrhosis and non-overlapping diagnosis codes of chronic hepatitis B or other primary or secondary causes of cirrhosis. The diagnosis in all patients was priorly established through liver biopsy, so all patients with a secondary cause of cirrhosis other than chronic hepatitis C infection were excluded from the study after proper histopathologic immunohistochemical analysis of the liver samples [14,15].
The variables that were evaluated included patient profile data with age, sex, body mass index (BMI), medical background, cirrhosis complications (jaundice, portal hypertension, upper gastrointestinal bleeding, hepatic encephalopathy, gastritis, pleural effusion, ascites, spontaneous bacterial peritonitis, and hepatorenal syndrome), Child–Pugh staging, acute-on-chronic liver failure (ACLF), and mortality; and laboratory data with red blood cell count (RBC), platelet count (PLT), white blood cell count (WBC), neutrophils, monocytes, eosinophils, lymphocytes, hemoglobin (Hb), hematocrit (Ht), ferritin, haptoglobin, mean corpuscular volume (MCV), fasting glucose, alanine aminotransferase (ALAT), aspartate aminotransferase (ASAT), alkaline phosphatase (ALP), serum albumin, total proteins, total bilirubin, gamma glutamate transpeptidase (GGT), lactate dehydrogenase (LDH), prothrombin time (PT), partial thromboplastin time (APTT), iron, folate, vitamin B12, vitamin B6, thiamine, creatinine, blood urea nitrogen (BUN), urinary albumin, glomerular filtration rate (GFR), total cholesterol, triglycerides, VLDL-C, LDL-C, HDL-C, total lipid, procalcitonin, C-reactive protein (CRP), interleukin-6 (IL-6), tumor necrosis factor alpha (TNF-α), erythrocyte sedimentation rate (ESR), fibrinogen, arterial pH, arterial base excess, arterial oxygen pressure (pO2), arterial carbon dioxide pressure (pCO2), serum bicarbonate (HCO3), oxygen saturation (SaO2), and hepatitis C viral load.
Data of patients with post-hepatitis C cirrhosis were compared before and after SARS-CoV-2 infection using the IBM SPSS v.26 statistical software. The χ2 test and Fisher exact test were used for comparing proportions of categorical variables depending on the expected frequency assumption. The unpaired Student’s t-test was used to compare average values of normally distributed data for the COVID and non-COVID study groups. We utilized the Mann–Whitney U-test to compare median values of continuous variables and the Shapiro-Wilk test to measure the departure of data from normality. A multivariate analysis was performed to determine independent risk factors for developing ACLF and ICU admission. The significance threshold was set for α = 0.05.
The Local Commission of Ethics for Scientific Research of the “Dr. Victor Babes” Clinical Hospital for Infectious Diseases and Pulmonology in Timisoara operates under art provisions 167 of Law no. 95/2006, art. 28, chapter VIII of order 904/2006 and with EU GCP Directives 2005/28/EC, International Conference of Harmonization of Technical Requirements for Registration of Pharmaceuticals for Human Use (ICH), and with the Declaration of Helsinki—Recommendations Guiding Medical Doctors in Biomedical Research Involving Human Subjects. The current study was approved on 15 December 2021, with the approval number 12570. All study participants agreed to be involved in this study by signing an informed consent form.
3. Results
Patients with hepatitis C cirrhosis were divided in two groups based on their COVID-19 status at the time of study. A total of 46 patients were included in the COVID group and 196 in the non-COVID group. Table 1 describes the general characteristics of the patients involved in the study. It was noted that patients in the COVID groups had significantly lower average BMI values (p-value = 0.035), while the proportion of underweight patients was higher in the same COVID group (p-value = 0.041). More than half of our patients with cirrhosis had a history of portal hypertension, among other complications specific to their chronic liver disease, whereas hepatic encephalopathy was observed in a statistically significant higher proportion in patients infected with SARS-CoV-2 (54.3% vs. 36.2%, p-value = 0.023). The study participants were also grouped by the Child–Pugh score, having no significant difference in proportions of Child–Pugh A, B, or C. However, we noticed significant higher number of cirrhosis patients that developed acute-on-chronic liver failure while being infected with SARS-CoV-2 (19.6% vs. 5.1% p-value < 0.001). Similar findings were observed in the rate of ICU admissions in patients with COVID-19 (26.0% vs. 8.2%, p-value < 0.001), and in the mortality rate (15.2% vs. 6.1%, p-value = 0.039).
An extensive evaluation by serum laboratory analysis of our cohort is described in Table 2. The assessment of a complete blood count identified significant differences by median values and a departure from the normal range of the WBC (12,200 vs. 4600, p-value < 0.001), lymphocytes (6900 vs. 2500, p-value < 0.001), and ferritin (479 µg/L vs. 355 µg/L, p-value < 0.001). Liver function tests identified significant deviation from normality in fasting glucose levels (146 mmol/L vs. 128 mmol/L, p-value = 0.024), ALT (57 U/L vs. 44 U/L, p-value = 0.049), and PT (13.9 s vs. 11.2 s, p-value = 0.008). Major nutritional deficiency between groups was observed only in thiamine levels, where patients with COVID had significantly lower levels (2.4 µg/dL vs. 2.6 µg/dL, p-value = 0.041). The lipid profile did not differ between groups. Kidney function tests were significantly different in cirrhosis patients infected with SARS-CoV-2, having higher creatinine levels (1.54 µmol/L vs. 1.31 µmol/L, p-value < 0.001) and BUN levels (14 mmol/L vs. 11 mmol/L, p-value = 0.002). Finally, the HCV viral load was significantly higher in the COVID-19 group (p-value < 0.001).
The inflammatory profile was analyzed only in patients positive for SARS-CoV-2 infection. Therefore, data during the acute phase of COVID-19 were obtained from 46 patients, while the second evaluation was performed in 39 patients, since seven of them did not survive. Alterations of the studied parameters can be observed in Table 3. The majority of inflammatory markers were on average higher than the upper limits of the normal range both at the initial evaluation when patients were confirmed with COVID-19, as well as at 4 weeks after being tested negative for SARS-CoV-2. An important finding is the higher mean value of procalcitonin in patients at the second evaluation (0.5ug/L vs. 1.2ug/L, p-value < 0.001), signifying the risk of bacterial infection after the acute viral infection. The other inflammatory markers were elevated in patients during the acute phase of COVID-19, including CRP levels (56mg/L vs. 12mg/L, p-value < 0.001), IL-6 (49pg/mL vs. 17pg/mL, p-value < 0.001), fibrinogen (5.1g/L vs. 3.7g/L, p-value < 0.001), and D-dimers (331ng/mL vs. 262ng/mL, p-value < 0.001).
Arterial blood gases also showed significant alterations from the normal range. Patients with COVID-19 had statistically significant higher levels of arterial CO2 (49mmHg vs. 43mmHg, p-value < 0.001) and lower O2 saturation (89% vs. 92%, p-value = 0.028).
The clinical profile was also evaluated at 4 weeks after SARS-CoV-2 infection (Table 4), without any important findings, except pleural effusions that were found in a significantly increased number of patients (15.2% vs. 33.3% at 4 weeks, p-value = 0.049).
Figure 1 and Figure 2 describe the association of laboratory parameters with ACLF and ICU admission in underweight and normal weighted patients with cirrhosis from the two study groups, and the association of inflammatory markers and arterial blood gases with ACLF and ICU admission in underweight and normal weighted patients with cirrhosis from the two study groups, respectively. The odds ratio and 95% confidence intervals are developed based on BMI values that initially showed significant differences between study groups (COVID and non-COVID). The multivariate analysis described significant interactions between WBC and ferritin in all subgroups as predictors for the risk of developing ACLF. Other significant associations with ACLF were observed only in patients with COVID-19 with elevated lymphocytes and ALT levels, respectively, and low fasting glucose levels. Elevated PT, creatinine, BUN, and HCV viral load were associated with an increased risk for ICU admission in cirrhosis patients, regardless of their SARS-CoV-2 status, although the risk was higher once COVID-19 was diagnosed, and stratification by BMI indicated that underweight patients had a higher chance of being admitted to the ICU. Lastly, underweight patients with cirrhosis and COVID-19 were in the group with the highest risk factor for developing ACLF and ICU admission, where procalcitonin levels along with CRP, IL-6, and fibrinogen were all significant independent risk factors. Additionally, d-dimers, pCO2, and SaO2 were all independent risk factors for ICU admission, but not for ACLF.
4. Discussion
By the nature of this study, it is one of the first to describe a thorough evaluation of laboratory data in cirrhosis patients after a SARS-CoV-2 infection and to present a stratified risk analysis for developing acute-on-chronic liver failure and being admitted to an intensive care unit, while recording the nutritional status of the patient and SARS-CoV-2 infection using serum parameters. During the investigation of laboratory profiles in our cohort, we observed many instances of blood parameters’ departure from normality, where both COVID and non-COVID patients with cirrhosis showed abnormal values such as pre-existent anemia, hypoglycemia, elevated liver enzymes, poor liver function tests, nutritional deficiency, kidney failure, and hypolipidemia. Similar findings were separately described in different studies until present day, such as anemia in cirrhosis [16], hypoglycemia in cirrhosis [17], or hypolipidemia suffered by patients with cirrhosis [18]. However, all these studies did not describe their findings in conjunction with the presence of SARS-CoV-2.
As observed in the current study, patients with cirrhosis exhibit significant alterations in lipid profile compared to healthy individuals. However, SARS-CoV-2 infection in these patients did not seem to trigger important differences in serum lipid studies. Our research findings reveal that blood lipid levels, including total cholesterol, triglycerides, HDL-C, LDL-C, VLDL-C, and total lipids, are considerably lower in patients with HBV-cirrhosis, indicating hypolipidemia. Because HDL-C is generated in the liver, significant damage to hepatocytes, such as those induced by alcohol use, chronic viral hepatitis, or liver cirrhosis, may result in impaired liver function and a drop in total cholesterol and HDL-C levels, as was previously established [19]. Reduced cholesterol levels in individuals with cirrhosis showed the degree of liver cell damage, which is connected with the impairment of the liver’s capacity to synthesize [20].
Although about 30% of patients with cirrhosis have diabetes mellitus (DM) [21], it is not mediated through insulin resistance triggered by obesity. Instead, patients with cirrhosis have a tendency towards malnutrition and cachexia but can develop DM from different metabolic pathophysiologic alterations [22]. Nevertheless, the tendency towards emaciation through sarcopenia [23,24] and the cachexia of the cirrhotic patient was the reason for stratifying data in our research by the BMI of patients involved.
From the earliest reports to the present day, hemostasis abnormalities with a tendency toward hypercoagulability have been observed in COVID-19 patients [25]; in particular, increased D-dimer and fibrinogen levels have been associated with a poor prognosis in hospitalized patients, primarily due to pulmonary embolism or disseminated intravascular coagulation [26]. However, blood samples were often taken after hospitalization, and nothing is known regarding the importance of clotting parameters in identifying individuals with a more severe form of COVID-19, defined by ARDS, and their association to thromboembolic events at their initial presentation. Considering this, we evaluated all the coagulation parameters made available to our lab and found higher than normal fibrinogen, d-dimers, and PT, which were all proven individual risk factors for ICU admission, while fibrinogen alone was also a risk factor for developing ACLF. The evaluation of acute-on-chronic liver failure was another aim of this study, since it was observed that significantly more patients with cirrhosis develop this pathology [27].
Lastly, the arterial blood gases were evaluated, both due to the lung and liver affinity of the SARS-CoV-2 [28], and due to the mild hypoxemia encountered by approximately one-third of patients with chronic liver disease [29]. This anomaly can be explained by the findings that arterial venous anastomoses and communications between the portal and arterial circulations, as well as between the bronchial and pulmonary veins, are more likely to be functional in patients with cirrhosis. These anastomoses and communications account for hypoxemia and perfusion defects seen on lung scans in patients with cirrhosis. Shunts reported in individuals with severe liver illness that result in blood gas changes may be a consequence of portal hypertension development, intrapulmonary arteriovenous shunting, or ventilation–perfusion inequality [30].
5. Conclusions
Our study asks and confirms whether a laboratory profile of patients with cirrhosis significantly changes due to SARS-CoV-2 infection. Based on the presented results, we prove that low BMI is a good stratifier for risk analysis in developing acute-on-chronic liver failure and being admitted to the intensive care unit. Several inflammatory markers, such as procalcitonin, CRP, IL-6, fibrinogen, and d-dimers, show strong interactions with SARS-CoV-2 infection, being significant risk factors for ICU admission. Nevertheless, the laboratory profile of patients with cirrhosis is altered by the intrinsic mechanisms of cirrhosis, and it is still being modified further by the presence of the SARS-CoV-2 virus, indicating that WBC, lymphocyte count, creatinine, ferritin, BUN, and ALT levels rise significantly in patients with COVID-19.
Author Contributions
B.C. and M.L.B. contributed equally to this paper. Conceptualization: B.C. and M.L.B.; methodology: I.M. software: F.B.; validation: I.M.; formal analysis: I.B. and M.L.G.; investigation: C.C.; resources: A.V.B. and M.L.G.; data curation: A.V.B. writing—original draft preparation: F.B. and I.B.; writing—review and editing: M.T. and M.C.L.; visualization: M.T.; supervision: C.C.; project administration: B.C. and M.L.B. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethics Committee of the “Victor Babes” Clinical Hospital for Infectious Diseases and Pulmonology in Timisoara, approved on 15 December 2021, with approval number 12570.
Informed Consent Statement
Written informed consent has been obtained from the patients to publish this paper.
Data Availability Statement
Data available on request.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Marks, M.; O’Hara, G.; Houlihan, C.; Bell, L.; Heightman, M.; Hart, N. Severe acute respiratory syndrome coronavirus 2. Ref. Modul. Biomed. Sci. 2021, 231–242. [Google Scholar] [CrossRef]
- Marincu, I.; Bratosin, F.; Vidican, I.; Bostanaru, A.-C.; Frent, S.; Cerbu, B.; Turaiche, M.; Tirnea, L.; Timircan, M. Predictive value of comorbid conditions for COVID-19 mortality. J. Clin. Med. 2021, 10, 2652. [Google Scholar] [CrossRef]
- Yu, D.; Du, Q.; Yan, S.; Guo, X.-G.; He, Y.; Zhu, G.; Zhao, K.; Ouyang, S. Liver injury in COVID-19: Clinical features and treatment management. Virol. J. 2021, 18, 121. [Google Scholar] [CrossRef]
- Cerbu, B.; Pantea, S.; Bratosin, F.; Vidican, I.; Turaiche, M.; Frent, S.; Borsi, E.; Marincu, I. Liver impairment and hematological changes in patients with chronic hepatitis C and COVID-19: A retrospective study after one year of pandemic. Medicina 2021, 57, 597. [Google Scholar] [CrossRef]
- Łykowska-Szuber, L.; Wołodźko, K.; Rychter, A.M.; Szymczak-Tomczak, A.; Krela-Kaźmierczak, I.; Dobrowolska, A. Liver injury in patients with coronavirus disease 2019 (COVID-19)—A narrative review. J. Clin. Med. 2021, 10, 5048. [Google Scholar] [CrossRef]
- European Centre for Disease Prevention and Control. Hepatitis C. In ECDC Annual Epidemiological Report for 2018; ECDC: Stockholm, Sweden, 2020. [Google Scholar]
- Negro, F. Epidemiology of hepatitis C in Europe. Dig. Liver Dis. 2014, 46, S158–S164. [Google Scholar] [CrossRef]
- Maticic, M.; Lombardi, A.; Mondelli, M.U.; Colombo, M. Elimination of hepatitis C in Europe: Can WHO targets be achieved? Clin. Microbiol. Infect. 2020, 26, 818–823. [Google Scholar] [CrossRef]
- Guerra, J.V.S.; Dias, M.M.G.; Brilhante, A.J.V.C.; Terra, M.F.; García-Arévalo, M.; Figueira, A.C.M. Multifactorial basis and therapeutic strategies in metabolism-related diseases. Nutrients 2021, 13, 2830. [Google Scholar] [CrossRef]
- Kukla, M.; Skonieczna-Żydecka, K.; Kotfis, K.; Maciejewska, D.; Łoniewski, I.; Lara, L.F.; Pazgan-Simon, M.; Stachowska, E.; Kaczmarczyk, M.; Koulaouzidis, A.; et al. COVID-19, MERS and SARS with concomitant liver injury—Systematic review of the existing literature. J. Clin. Med. 2020, 9, 1420. [Google Scholar] [CrossRef]
- McGrowder, D.A.; Miller, F.; Anderson Cross, M.; Anderson-Jackson, L.; Bryan, S.; Dilworth, L. Abnormal liver biochemistry tests and acute liver injury in COVID-19 patients: Current evidence and potential pathogenesis. Diseases 2021, 9, 50. [Google Scholar] [CrossRef]
- Butaru, A.E.; Gheonea, D.I.; Rogoveanu, I.; Diculescu, M.; Boicea, A.-R.; Bunescu, M.; Streba, C.-T.; Oancea, C.N. Micro-elimination: Updated pathway to global elimination of hepatitis C in small communities and industrial settings during the COVID 19 pandemic. J. Clin. Med. 2021, 10, 4976. [Google Scholar] [CrossRef]
- Papic, N.; Radmanic, L.; Dusek, D.; Kurelac, I.; Lepej, S.Z.; Vince, A. Trends of late presentation to care in patients with chronic hepatitis C during a 10-year period in Croatia. Infect. Dis. Rep. 2020, 12, 74–81. [Google Scholar] [CrossRef]
- Rullier, A.; Trimoulet, P.; Urbaniak, R.; Winnock, M.; Zauli, D.; Ballardini, G.; Rosenbaum, J.; Balabaud, C.; Bioulac-Sage, P.; Le Bail, B. Immunohistochemical detection of HCV in cirrhosis, dysplastic nodules, and hepatocellular carcinomas with parallel-tissue quantitative RT-PCR. Mod. Pathol. 2001, 14, 496–505. [Google Scholar] [CrossRef] [Green Version]
- Takahashi, Y.; Dungubat, E.; Kusano, H.; Ganbat, D.; Tomita, Y.; Odgerel, S.; Fukusato, T. Application of immunohistochemistry in the pathological diagnosis of liver tumors. Int. J. Mol. Sci. 2021, 22, 5780. [Google Scholar] [CrossRef]
- Sahin, A.; Artas, H.; Tunc, N.; Yalniz, M.; Bahcecioglu, I.H. Hematological indices in portal hypertension: Cirrhosis versus noncirrhotic portal hypertension. J. Clin. Med. 2018, 7, 196. [Google Scholar] [CrossRef] [Green Version]
- Galsgaard, K.D. The vicious circle of hepatic glucagon resistance in non-alcoholic fatty liver disease. J. Clin. Med. 2020, 9, 4049. [Google Scholar] [CrossRef]
- Kotlyarov, S.; Bulgakov, A. Lipid metabolism disorders in the comorbid course of nonalcoholic fatty liver disease and chronic obstructive pulmonary disease. Cells 2021, 10, 2978. [Google Scholar] [CrossRef]
- Di Costanzo, A.; Ronca, A.; D’Erasmo, L.; Manfredini, M.; Baratta, F.; Pastori, D.; Di Martino, M.; Ceci, F.; Angelico, F.; Del Ben, M.; et al. HDL-mediated cholesterol efflux and plasma loading capacities are altered in subjects with metabolically—But not genetically driven non-alcoholic fatty liver disease (NAFLD). Biomedicines 2020, 8, 625. [Google Scholar] [CrossRef]
- Ismail, I.T.; Elfert, A.; Helal, M.; Salama, I.; El-Said, H.; Fiehn, O. Remodeling lipids in the transition from chronic liver disease to hepatocellular carcinoma. Cancers 2021, 13, 88. [Google Scholar] [CrossRef]
- Garcia-Compean, D.; Jaquez-Quintana, J.O.; Gonzalez-Gonzalez, J.A.; Maldonado-Garza, H.J. Liver cirrhosis and diabetes: Risk factors, pathophysiology, clinical implications and management. World J. Gastroenterol. 2009, 15, 280–288. [Google Scholar] [CrossRef]
- Coman, L.I.; Coman, O.A.; Bădărău, I.A.; Păunescu, H.; Ciocîrlan, M. Association between liver cirrhosis and diabetes mellitus: A review on hepatic outcomes. J. Clin. Med. 2021, 10, 262. [Google Scholar] [CrossRef]
- Miarka, M.; Gibiński, K.; Janik, M.K.; Główczyńska, R.; Zając, K.; Pacho, R.; Raszeja-Wyszomirska, J. Sarcopenia—The impact on physical capacity of liver transplant patients. Life 2021, 11, 740. [Google Scholar] [CrossRef]
- Nishikawa, H.; Fukunishi, S.; Asai, A.; Nishiguchi, S.; Higuchi, K. Sarcopenia and frailty in liver cirrhosis. Life 2021, 11, 399. [Google Scholar] [CrossRef]
- Vrachatis, D.A.; Papathanasiou, K.A.; Giotaki, S.G.; Raisakis, K.; Kossyvakis, C.; Kaoukis, A.; Kolokathis, F.; Deftereos, G.; Iliodromitis, K.E.; Avramides, D.; et al. Immunologic dysregulation and hypercoagulability as a pathophysiologic background in COVID-19 infection and the immunomodulating role of colchicine. J. Clin. Med. 2021, 10, 5128. [Google Scholar] [CrossRef]
- Di Micco, P.; Russo, V.; Carannante, N.; Imparato, M.; Cardillo, G.; Lodigiani, C. Prognostic value of fibrinogen among COVID-19 patients admitted to an emergency department: An Italian cohort study. J. Clin. Med. 2020, 9, 4134. [Google Scholar] [CrossRef]
- Gambino, C.; Piano, S.; Angeli, P. Acute-on-chronic liver failure in cirrhosis. J. Clin. Med. 2021, 10, 4406. [Google Scholar] [CrossRef]
- Morgan, K.; Samuel, K.; Vandeputte, M.; Hayes, P.C.; Plevris, J.N. SARS-CoV-2 infection and the liver. Pathogens 2020, 9, 430. [Google Scholar] [CrossRef]
- Foglia, B.; Novo, E.; Protopapa, F.; Maggiora, M.; Bocca, C.; Cannito, S.; Parola, M. Hypoxia, hypoxia-inducible factors and liver fibrosis. Cells 2021, 10, 1764. [Google Scholar] [CrossRef]
- Charalabopoulos, K.; Peschos, D.; Zoganas, L.; Bablekos, G.; Golias, C.; Charalabopoulos, A.; Stagikas, D.; Karakosta, A.; Papathanasopoulos, A.; Karachalios, G.; et al. Alterations in arterial blood parameters in patients with liver cirrhosis and ascites. Int. J. Med. Sci. 2007, 4, 94–97. [Google Scholar] [CrossRef] [Green Version]
Figure 1.
The association of laboratory parameters with ACLF and ICU admission in underweight and normal weighted patients with cirrhosis from the two study groups.
Figure 1.
The association of laboratory parameters with ACLF and ICU admission in underweight and normal weighted patients with cirrhosis from the two study groups.
Figure 2.
The association of inflammatory markers and arterial blood gases with ACLF and ICU admission in underweight and normal weighted patients with cirrhosis from the two study groups.
Figure 2.
The association of inflammatory markers and arterial blood gases with ACLF and ICU admission in underweight and normal weighted patients with cirrhosis from the two study groups.
Table 1.
Characteristics of study cohort compared with non-COVID patients with cirrhosis.
| Characteristics * | COVID (n = 46) | Non-COVID (n = 196) | p-Value ** |
|---|---|---|---|
| Age, years | 0.291 | ||
| 18–65 | 34 (73.9%) | 129 (65.8%) | |
| >65 | 12 (26.1%) | 67 (34.2%) | |
| Sex | 0.751 | ||
| Men | 27 (58.7%) | 110 (56.1%) | |
| Women | 19 (41.3%) | 86 (43.9%) | |
| BMI (mean ± SD) | 20.2 ± 2.1 | 21.4 ± 3.7 | 0.035¶ |
| Underweight (<18.5 kg/m2) | 15 (32.6%) | 37 (18.8%) | 0.041 |
| Medical Background | |||
| Chronic alcohol consumption | 16 (34.8%) | 61 (31.1%) | 0.631 |
| History of hepatitis A infection | 7 (15.2%) | 19 (9.7%) | 0.276 |
| Cardiovascular disease | 28 (60.9%) | 125 (63.8%) | 0.712 |
| Metabolic disease | 11 (23.9%) | 51 (26.0%) | 0.768 |
| Cerebrovascular disease | 11 (23.9%) | 47 (23.9%) | 0.992 |
| Chronic kidney disease | 9 (19.6%) | 40 (20.4%) | 0.898 |
| Malignancy | 6 (13.0%) | 31 (15.8%) | 0.638 |
| Cirrhosis complications | |||
| Jaundice | 13 (28.2%) | 48 (24.5%) | 0.596 |
| Portal hypertension | 28 (60.9%) | 103 (52.6%) | 0.308 |
| Upper gastrointestinal bleeding | 19 (41.3%) | 68 (34.7%) | 0.400 |
| Hepatic encephalopathy | 25 (54.3%) | 71 (36.2%) | 0.023 |
| Gastritis | 27 (58.7%) | 99 (50.5%) | 0.317 |
| Pleural effusion | 7 (15.2%) | 33 (16.8%) | 0.790 |
| Ascites | 19 (41.3%) | 67 (34.2%) | 0.363 |
| Spontaneous bacterial peritonitis | 4 (8.7%) | 8 (4.1%) | 0.194 |
| Hepatorenal syndrome | 4 (8.7%) | 7 (3.6%) | 0.133 |
| Child–Pugh | 0.542 | ||
| A | 26 (56.5%) | 115 (58.7%) | |
| B | 13 (28.2%) | 42 (21.4%) | |
| C | 7 (15.2%) | 39 (19.9%) | |
| Disease outcomes | |||
| ACLF | 9 (19.6%) | 10 (5.1%) | <0.001 |
| ICU admission | 12 (26.0%) | 16 (8.2%) | <0.001 |
| Mortality | 7 (15.2%) | 12 (6.1%) | 0.039 |
* Data reported as n (%), unless specified differently; ** Chi-square test and Fisher’s exact; ¶ Unpaired Student’s t-test; ACLF—Acute-on-chronic liver failure≥.
Table 2.
Comparison of serum parameters between COVID-19 and non-COVID-19 patients with cirrhosis.
| Variables * | Normal Range | COVID (n = 46) | % Outside Normality | Non-COVID (n = 196) | % Outside Normality | p-Value ** |
|---|---|---|---|---|---|---|
| Complete blood count | ||||||
| RBC (millions/mm3) | 4.35–5.65 | 3.31 ^ (1.5) | 70.4% | 3.39 ^ (1.3) | 67.2% | 0.301 |
| PLT (thousands/mm3) | 150–450 | 94 ^ (116) | 75.1% | 90 ^ (98) | 71.0% | 0.442 |
| WBC (thousands/mm3) | 4.5–11.0 | 12.2 ^ (7.3) | 48.1% | 4.6 (2.6) | 22.4% | <0.001 |
| Neutrophils (thousands/mm3) | 1.5–8.0 | 5.0 (5.3) | 16.1% | 3.8 (4.0) | 20.7% | 0.056 |
| Monocytes (thousands/mm3) | 0.1–1.0 | 0.4 (0.5) | 7.8% | 0.6 (0.3) | 9.2% | 0.840 |
| Eosinophils (units/mm3) | 30–300 | 142 (96) | 2.2% | 173 (101) | 4.9% | 0.727 |
| Lymphocytes (thousands/mm3) | 1.0–4.8 | 6.9 ^ (6.2) | 63.6% | 2.5 (3.6) | 38.8% | <0.001 |
| Hb (g/dL) | 13.0–17.0 | 11.8 ^ (4.6) | 67.2% | 12.0 ^ (5.2) | 65.6% | 0.882 |
| Hematocrit (%) | 36–48 | 37 (12) | 22.4% | 39 (13) | 20.5% | 0.904 |
| Ferritin (µg/L) | 24–336 | 479 ^ (301) | 88.1% | 355 ^ (205) | 52.2% | <0.001 |
| Haptoglobin (mg/dL) | 41–165 | 72 (52) | 35.3% | 79 (64) | 31.6% | 0.651 |
| Mean corpuscular volume (fL) | 80–96 | 88 (94) | 32.7% | 85 (91) | 34.5% | 0.629 |
| Liver function tests | ||||||
| Fasting glucose (mmol/L) | 60–125 | 146 ^ (84) | 73.5% | 128 ^ (80) | 62.4% | 0.024 |
| ALT (U/L) | 7–35 | 57 ^ (42) | 68.2% | 44 ^ (35) | 54.7% | 0.049 |
| AST (U/L) | 10–40 | 43 ^ (36) | 35.5% | 36 (30) | 28.0% | 0.063 |
| ALP (U/L) | 40–130 | 141 ^ (110) | 53.6% | 138 ^ (106) | 48.4% | 0.474 |
| Serum albumin (g/dL) | 3.4–5.4 | 3.6 (1.2) | 15.3% | 3.8 (1.4) | 12.9% | 0.703 |
| Total proteins (g/dL) | 6.0–8.3 | 6.2 (3.5) | 17.8% | 6.1 (2.3) | 17.1% | 0.936 |
| Total bilirubin (g/dL) | 0.3–1.2 | 1.5 ^ (1.6) | 52.0% | 1.4 ^ (1.2) | 48.3% | 0.522 |
| GGT (U/L) | 0–30 | 48 ^ (34) | 73.1% | 46 ^ (30) | 66.5% | 0.162 |
| LDH (U/L) | 140–280 | 245 (144) | 23.5% | 267 (151) | 26.8% | 0.329 |
| PT (seconds) | 11.0–13.5 | 13.9 ^ (7.5) | 40.3% | 11.2 (4.2) | 24.6% | 0.008 |
| APTT (seconds) | 30–40 | 39 (12) | 23.6% | 36 (8) | 13.0% | 0.101 |
| Nutritional deficiency | ||||||
| Iron (µg/dL) | 60–170 | 64 (32) | 37.4% | 62 (32) | 38.9% | 0.946 |
| Folate (nmol/mL) | 2.7–17.0 | 2.9 (2.0) | 31.0% | 3.0 (2.1) | 32.4% | 0.951 |
| Vitamin B12 (pg/mL) | 160–950 | 167 (237) | 44.6% | 171 (222) | 40.3% | 0.704 |
| Vitamin B6 (µg/L) | 5–50 | 8 (11) | 35.5% | 8 (14) | 36.9% | 0.892 |
| Thiamine (µg/dL) | 2.5–7.5 | 2.4 ^ (3.1) | 59.6% | 2.6 (2.3) | 48.3% | 0.041 |
| Kidney function tests | ||||||
| Creatinine (µmol/L) | 0.74–1.35 | 1.54 ^ (2.62) | 68.7% | 1.31 (1.50) | 50.7% | <0.001 |
| BUN (mmol/L) | 2.1–8.5 | 14 ^ (16) | 75.5% | 11 ^ (11) | 62.2% | 0.002 |
| Urinary albumin (mg/g) | 0–30 | 42 ^ (13) | 62.6% | 40 ^ (10) | 59.3% | 0.776 |
| GFR | >60 | 49 ^ (32) | 73.0% | 56 ^ (26) | 64.9% | 0.055 |
| Lipid profile | ||||||
| Total cholesterol (mg/dL) | 100–200 | 101.5 (60.3) | 52.7% | 112 (54.6) | 48.6% | 0.266 |
| Triglycerides | 50–150 | 66.4 (41.7) | 17.3% | 69.2 (39.4) | 15.1% | 0.826 |
| VLDL-C (mg/dL) | 2–30 | 17.1 (9.5) | 7.2% | 18.2 (9.0) | 7.6% | 0.943 |
| LDL-C (mg/dL) | <100 | 79.2 (36.8) | 11.6% | 76.1 (38.4) | 9.9% | 0.794 |
| HDL-C (mg/dL) | 40–60 | 34.0 ^ (19.3) | 35.4% | 39.5 ^ (21.4) | 27.4% | 0.057 |
| HCV viral load (U/L × 103) | <15 | 38,402 (35,195) | 100% | 29,365 (24,392) | 100% | <0.001 |
* Data reported as median (IQR), unless specified differently; ** Mann–Whitney U-test; ^ median value outside the normal range.
Table 3.
Dynamics in inflammatory markers and blood gases of patients with cirrhosis at 4 weeks after SARS-CoV-2 infection.
Table 3.
Dynamics in inflammatory markers and blood gases of patients with cirrhosis at 4 weeks after SARS-CoV-2 infection.
| Variables * | Normal Range | During COVID (n = 46) | After COVID (n = 39) | p-Value *** |
|---|---|---|---|---|
| Inflammatory markers | ||||
| Procalcitonin (ug/L) ** | 0–0.5 ug/L | 0.5 ± 0.2 | ^ 1.2 ± 1.0 | <0.001 |
| CRP (mg/L) ** | 0–10 mg/L | ^ 56 ± 13 | ^ 12 ± 7 | <0.001 |
| IL-6 (pg/mL) ** | 0–16 pg/mL | ^ 49 ± 17 | ^ 17 ± 10 | <0.001 |
| TNF-α (pg/mL) | 0–29 pg/mL | ^ 42 ± 9 | ^ 39 ± 8 | 0.111 |
| IFN-γ (pg/mL) | 0–3 pg/mL | ^ 3.2 ± 0.5 | 3.0 ± 0.6 | 0.097 |
| ESR (mm/h) | 0–22 mm/hr | ^ 43 ± 8 | ^ 40 ± 8 | 0.088 |
| Fibrinogen (g/L) | 2–4 g/L | ^ 5.1 ± 1.0 | 3.7 ± 1.0 | <0.001 |
| D-dimer (ng/mL) | <250 | ^ 331 ± 53 | ^ 262 ± 31 | <0.001 |
| Arterial blood gas | ||||
| Arterial pH | 7.35–7.45 | ^ 7.46 ± 0.6 | 7.37 ± 0.9 | 0.584 |
| pO2 (mmHg) | 80–100 mmHg | ^ 77 ± 12 | 80 ± 9 | 0.202 |
| pCO2 (mmHg) | 35–45 mmHg | ^ 49 ± 5 | 43 ± 7 | <0.001 |
| HCO3 (mEq/L) | 22–28 mEq/L | 23 ± 6 | 24 ± 4 | 0.377 |
| SaO2 (%) | 94–100% | ^ 89 ± 7 | ^ 92 ± 5 | 0.028 |
* Data reported as mean ± SD, unless specified differently; ** Mann–Whitney U-test; *** paired t-test; ^ data outside the normal range.
Table 4.
Reevaluation of patients with cirrhosis at 4 weeks after SARS-CoV-2 infection.
| Clinical Outcomes * | Acute COVID (n = 46) | After COVID (n = 39) | p-Value ** |
|---|---|---|---|
| Jaundice | 13 (28.3%) | 16 (41.0%) | 0.216 |
| Portal hypertension | 28 (60.9%) | 28 (71.8%) | 0.289 |
| Upper gastrointestinal bleeding | 6 (13.0%) | 2 (5.1%) | 0.497 |
| Encephalopathy | 25 (54.3%) | 24 (61.5%) | 0.503 |
| Gastritis | 27 (58.7%) | 24 (61.5%) | 0.789 |
| Pleural effusion | 7 (15.2%) | 13 (33.3%) | 0.049 |
| Ascites | 19 (41.3%) | 21 (53.9%) | 0.248 |
| Spontaneous bacterial peritonitis | 4 (8.7%) | 7 (17.9%) | 0.205 |
| Hepatorenal syndrome | 4 (8.7%) | 3 (7.7%) | 0.866 |
| Child–Pugh Score | 0.543 | ||
| Child–Pugh A | 26 (56.5%) | 25 (64.1%) | |
| Child–Pugh B | 13 (28.3%) | 11 (28.2%) | |
| Child–Pugh C | 7 (15.2%) | 3 (7.7%) |
* Data reported as n (frequency); ** Chi-square test and Fisher’s exact.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
MDPI and ACS Style
Cerbu, B.; Grigoras, M.L.; Bratosin, F.; Bogdan, I.; Citu, C.; Bota, A.V.; Timircan, M.; Bratu, M.L.; Levai, M.C.; Marincu, I. Laboratory Profile of COVID-19 Patients with Hepatitis C-Related Liver Cirrhosis. J. Clin. Med. 2022, 11, 652. https://doi.org/10.3390/jcm11030652
AMA Style
Cerbu B, Grigoras ML, Bratosin F, Bogdan I, Citu C, Bota AV, Timircan M, Bratu ML, Levai MC, Marincu I. Laboratory Profile of COVID-19 Patients with Hepatitis C-Related Liver Cirrhosis. Journal of Clinical Medicine. 2022; 11(3):652. https://doi.org/10.3390/jcm11030652
Chicago/Turabian StyleCerbu, Bianca, Mirela Loredana Grigoras, Felix Bratosin, Iulia Bogdan, Cosmin Citu, Adrian Vasile Bota, Madalina Timircan, Melania Lavinia Bratu, Mihaela Codrina Levai, and Iosif Marincu. 2022. "Laboratory Profile of COVID-19 Patients with Hepatitis C-Related Liver Cirrhosis" Journal of Clinical Medicine 11, no. 3: 652. https://doi.org/10.3390/jcm11030652
APA StyleCerbu, B., Grigoras, M. L., Bratosin, F., Bogdan, I., Citu, C., Bota, A. V., Timircan, M., Bratu, M. L., Levai, M. C., & Marincu, I. (2022). Laboratory Profile of COVID-19 Patients with Hepatitis C-Related Liver Cirrhosis. Journal of Clinical Medicine, 11(3), 652. https://doi.org/10.3390/jcm11030652
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.
