Impact Factor 5.810 | CiteScore 6.2
More on impact ›

ORIGINAL RESEARCH article

Front. Pharmacol., 20 September 2021 | https://doi.org/10.3389/fphar.2021.755625

Nonlinear Relationship Between Macrocytic Anemia and Decompensated Hepatitis B Virus Associated Cirrhosis: A Population-Based Cross-Sectional Study

www.frontiersin.orgTian-Yu Zhao, www.frontiersin.orgQing-Wei Cong, www.frontiersin.orgFang Liu, www.frontiersin.orgLi-Ying Yao and www.frontiersin.orgYing Zhu*
  • Liver Disease Center of Integrated Traditional Chinese and Western Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian, China

Background: Mean corpuscular volume (MCV) is major used as an indicator for the differential diagnosis of anemia. Macrocytic anemia in decompensated cirrhosis is common. However, the relationship between macrocytic anemia and decompensated hepatitis B virus (HBV) associated cirrhosis has not been fully addressed.

Methods: In this cross-sectional study, a total of 457 patients diagnosed decompensated HBV associated cirrhosis who met all inclusion criteria from 2011 to 2018 were analyzed. Association between macrocytic anemia and the liver damaged (Model for End Stage Liver Disease (MELD) score) were examined using multiple logistic regression analyses and identified using smooth curve fitting.

Results: Compared with normocytic anemia, MCV and MELD are significantly positively correlated in macrocytic anemia (p < 0.001). A non-linear relationship of MCV and MELD association was found though the piecewise linear spline models in patients with decompensated HBV associated cirrhosis. MCV positive correlated with MELD when the MCV was greater than 98.2 fl (regression coefficient = 0.008, 95% CI 0.1, 0.4).

Conclusion: Macrocytic anemia may be a reliable predictor for mortality because it is closely related to the degree of liver damage in patients with decompensated HBV associated cirrhosis.

Introduction

Liver cirrhosis is a frequent end stage of liver disease, which itself results from a long-term process of fibrosis and sustained inflammation and leads to chronic liver disease (Schuppan and Afdhal, 2008). Hepatitis B virus (HBV) infection remains a very common liver disease (Nguyen et al., 2020), over 70% of infected cases are diagnosed as liver cirrhosis in China (Xiao et al., 2019). During the natural course of the disease, cirrhosis has transitioned from the compensation stage to the decompensation stage, through the developmental processes of one of the following serious complications: variceal hemorrhage, spontaneous bacterial peritonitis (SBP), encephalopathy, or jaundice. The 5-years liver related decompensated incidences in patients with compensated cirrhosis are 15–20%, 5-years survival rate for patients with compensated cirrhosis is approximately 84%, while for patients with decompensated cirrhosis, survival rate drops to 14–35% (Peng et al., 2012).

Anemia is now identified as an important predictor of adverse outcomes in liver cirrhosis patients, such as the development of acute-on-chronic liver failure (ACLF) in outpatients with cirrhosis and hepatocellular carcinoma mortality rates (Finkelmeier et al., 2014; Piano et al., 2017). Mean corpuscular volume (MCV) is defined as a measure of the average volume of a red blood cell, anemia is classified into three categories depending on the level of the patient’s MCV: macrocytic anemia (>100 fl), normocytic anemia (80–100 fl) and microcytic anemia (<80 fl). A study has indicated that an increase MCV level was correlated with the prognosis of liver cancer (Yoon et al., 2016). However, the exact mechanisms behind the relationship between MCV and liver function damage degree in patients with decompensated hepatitis B virus-related cirrhosis is still unknown. The model for End Stage Liver Disease (MELD) score was a preferred tool to use to predict the short-term mortality of end-stage liver disease and measure cirrhosis severity (Kamath and Kim, 2007). It had been considered to be an important predictor of survival for end-stage liver disease caused by many etiologies and was considered an organ allocation strategy for liver transplantation more accurate than Child-Pugh score since its application in the United States in 2002 (Wiesner et al., 2003; Bambha et al., 2004). Analysis demonstrated that the greater MELD scores (≥15), the greater risk of death from liver disease, as well as showed a significant survival benefit from liver transplantation compared to lower MELD scores (<15) (Merion et al., 2005). Thus, higher MELD score are expected to indicate worse liver function.

Previous a study showed that the relationship between MCV and MELD (Yang et al., 2018), however, this relationship has not been well studied. Therefore, we investigated whether MCV is independently associated with MELD in HBV-associated decompensated cirrhosis.

Methods

Characteristics of the Participants

This is a retrospective study from the Big Data Platform of the First affiliated hospital of Dalian Medical university from May 2011 to April 2018, our data consists of 1732 patients with decompensated HBV associated decompensated cirrhosis. Our research used the International Classification of Diseases codes to identify decompensation cirrhosis with HBV hospitalized patients. Decompensated Cirrhosis in Patients with hepatitis B according to the China’s Guidelines for the Prevention and Treatment of Chronic Hepatitis B (The guidelines of prevention and treatment for chronic hepatitis B (2019 version), 2019), 1) HBsAg carrier for study population≥6 months; 2) confirm the presence of cirrhosis according to biochemical, radiological, endoscopic and histological criteria; 3) at least one episode of ascites, spontaneous bacterial peritonitis, hepatic encephalopathy, or variceal bleeding (Jang et al., 2015). The WHO defined anemia as a hemoglobin level <130 g/L in male and <120 g/L in female (McLean et al., 2009). Two investigators reviewed the charts of all patients, Any discrepancies between the two investigators will be adjudicated by a senior physician. 457 patients who met all inclusion criteria and none of the exclusion criteria were enrolled into the study. This cross-section hospital-based, observational study was conducted in a University Hospital (Figure 1).

FIGURE 1
www.frontiersin.org

FIGURE 1. Flow chart for the selection of patients.

The research protocol was reviewed and approved with a waiver of written informed consent by the Ethics Committee of the First affiliated hospital of Dalian Medical university, informed consent by telephone was obtained from each participant. All the methods were performed in accordance with relevant guidelines and regulations.

Data Collection

Demographic characteristics were obtained from face-to-face communication with patients or their families when the patient was admitted to our hospital. Blood samples were taken from the patients on an empty stomach for more than 10 h after the whole night and fast sent to the laboratory assessments. Having more than one cigarette per day is considered as smoking and alcohol intaking more than 20 g per day for at least a year is considered as drinking (Kim et al., 2013; Carter et al., 2015). Estimated GFR (eGFR) formula was derived from the modification of diet in renal disease (MDRD). Regrettably, due to missing data, HBV DNA data and body mass index (BMI) were excluded from this study (K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification, 2002; Ma et al., 2006).

MELD Score

Using the following formula to calculate the MELD score: 9.57 × loge (creatinine mg/dl) + 3.78 × loge (bilirubin mg/dl) + 11.2 × loge (INR) + 6.43, where INR is the international normalized ratio and 6.43 is the constant of the etiology of liver disease (Kamath and Kim, 2007).

Statistical Analysis

Categorical variables were described in counts (percentages) and continuous variables as means ± standard deviation (SD). Patients were distributed into 3 groups by mean corpuscular volume (MCV) classification. The variables were followed normal distribution and homogeneous in variance. The levels within 3 groups of the continuous variables were analyzed using one-way ANOVA. categorical variables were analyzed using Chi-square test. To evaluate the relationship between the MELD score and macrocytic anemia were analyzed using univariate and multivariate linear regression analyses. Only variables with a p-value < 0.05 in the univariate analyses were planned to be included in the multivariate model. The possible linear and nonlinear models were used to assess the relationship between MELD and MCV by multiple linear regression models and two-piece piecewise regression models adjusted for sex, age, smoking, drinking, SBP, DBP. We then performed stratified analyses in order to further explore potential modifier on the MELD-MCV association.

All data analysis and form generation were produced using the statistical package R (http://www.R-project.org, The R Foundation) and Empower (R) (www.empowerstats.com; X&Y Solutions, Inc. Boston, MA). The results data were considered statistically significant When p-value was <0.05.

Results

Characteristics of the Participants

The baseline characteristics of subjects with anemia were divided into three groups (Table 1). Among the 457 participants in this analysis, 330/457 patients (72.2%) of the anemic cases had normocytic anemia, with the remaining 127 (27.8%) having macrocytic (n = 72) and microcytic anemia (n = 55). The cohort was 74.2% male, had a mean age of 65.5 (SD = 12.9). In addition, we found significantly higher expression levels of serum bilirubin, international normalized ratio (INR) and MELD score in macrocytic anemia when compared to normocytic or microcytic anemia. However, no significant differences were found in age, gender, smoking, drinking, diabetes, hypertension, systolic blood pressure, diastolic blood pressure, creatinine, eGFR, albumin, alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), γ-glutamyltranspeptidase (γ-GT).

TABLE 1
www.frontiersin.org

TABLE 1. Baseline Characteristics of participants (N = 457).

Association Between Macrocytic Anemia and MELD Score

In univariate regression analysis, we found that a significant correlation was present both macrocytic anemia and the MELD score (β = 2.20, 95% CI: 0.99–3.41, p < 0.001), normocytic group was used as a normalization control (Table 2). Moreover, this association persisted (β = 2.31, CI:1.09–3.52, p < 0.001) after adjustment for sex and age in Model I (β = 2.40, CI:1.06–3.74, p < 0.001) after adjustment for sex, age, smoking, drinking, SBP, DBP in Model II in multivariate analysis (Table 3).

TABLE 2
www.frontiersin.org

TABLE 2. Univariate analysis for MELD score.

TABLE 3
www.frontiersin.org

TABLE 3. Relationship between MCV and MELD in different models.

Association Between MCV and MELD Score

The two-piece wise smooth curve for MCV-MELD association in decompensated HBV associated cirrhosis. MCV negatively correlated with MELD when the MCV was smaller or equal than 98.2 fl (regression coefficient = 0.793,95% CI—0.1, 0.1). There was a strong positive correlation if MCV greater than 98.2 fl (regression coefficient = 0.008,95% CI 0.1, 0.4) (Figure 2; Table 4).

FIGURE 2
www.frontiersin.org

FIGURE 2. Two-piece piecewise regression and smooth curve-fitting for association between MCV and MELD stratified.

TABLE 4
www.frontiersin.org

TABLE 4. Threshold Effect Analysis of MCV and MELD using Piece-wise Linear Regression.

Discussion

In this study the analysis was done retrospectively, we suggested that macrocytic anemia (MCV >100 fl) related to the degree of liver damage in decompensated HBV associated cirrhosis patients. This variability persists even after adjusting for age, gender, smoking, drinking, SBP and DBP.

Positive association between MCV and MELD was found among HBV-associated decompensated cirrhosis. Our findings by the two-piece piece-wise regression model to display the relationship between MCV and MELD as non-linear relationship. Positive correlation was observed when the MCV was higher than 98.2 fl, while negative correlation occurred when the MCV was lower than 98.2 fl.

Macrocytosis, which is also known as MCV >100 fl, is not necessarily corelated with anemia. Moreover, in most of the cases it is unattached to anemia (Eisenga et al., 2019). We select anemia as an inclusion criteria in our model because 70% patients in our study have anemia. In patients with advanced chronic liver disease, a research reported that 66% of the population suffers from anemia of different etiologies, this result was consistent with our study (Scheiner et al., 2020). Furthermore, the cause of occurred anemia in patients with liver cirrhosis due to shortened erythrocyte survival, a lack of hematopoietic cytokine, gastrointestinal bleeding, bone marrow disorders. All these suggest serious impairment of liver function and a high risk of death.

The significance of macrocytosis remains an underestimated issue in the past. Only a small number of studies had relevant reports (Bourlon et al., 2016; Kloth et al., 2016; Lee et al., 2020). An article indicated that a high MCV was associated with increased risk of death from liver cancer in males (Yoon et al., 2016). One study with small sample size also found that the MCV was notably higher in chronic hepatic failure patients than in healthy individuals (Remková and Remko, 2009). A precious published finding also showed that macrocytic anemia was related to the degree of liver damage in patients with decompensated HBV associated cirrhosis (Yang et al., 2018). These results fit in with our study.

Macrocytosis is considered a structural and functional abnormality of the erythrocyte membrane. Several potential pathological mechanisms may explain our observations. First, irrespective of the etiology vitamin deficits is common in patients with cirrhosis, such as vitamin B12 and folate deficiency (Gupta et al., 2019; Ohfuji et al., 2021), macrocytic anemia usually occurs due to liver dysfunction, low intakes of dietary, low uptake and increased catabolism. Vitamin B12 and folate coenzymes deficiency are known to cause delayed in DNA synthesis and eventually results in macrocytic anemia (Green and Dwyre, 2015; Lanier et al., 2018). Second, oxidative stress has been identified as an pivotal pathophysiological mechanism in chronic viral hepatitis B (Uchida et al., 2020). Because red blood cell is thought to be tightly related to whole-body antioxidant capacity (Tsantes et al., 2006). Oxidative stress decreases the RBC capacity to deform, reduces blood flow in microcirculation and compromises oxygen supply to certain tissues (Mohanty et al., 2014; Skjelbakken et al., 2014). Moreover, There are various factors that affect erythrocyte morphology in liver disease, such as etiology, severity of hepatic impairment, and use of drugs. There are many complicated mechanisms that affect the shape of red blood cells. These mechanisms may allow to perform effectively their independent or collaborative functions. Nevertheless, it’s clear that macrocytic anemia has a positive correlation with the degree of liver damage in patients with decompensated HBV associated cirrhosis.

The MELD score is approved for assessing the degree of liver diseases. These variables include prothrombin time, INR, serum bilirubin and creatinine level. MELD score changes with variations in these variables. Higher MELD scores associate with increased risks of death and hepatic events in cirrhosis. In our study, among the parameters of MELD score, bilirubin and INR showed an increase on patients with macrocytic anemia. However, there was no remarkable difference with creatinine and eGFR. Therefore, macrocytic anemia may not be relevant to renal injury in patients with decompensated HBV associated cirrhosis.

Several study limitations are noted. First, the main limitation of this study lies in its retrospective observational nature, the cross-sectional nature of our study does not permit the determination of causality between MCV and MELD. Second, this study included only Chinese participants, and therefore these findings may not be generalizable to other biogeographic ethnic groups. Third, we did not perform an analysis on the data of folate, serum vitamin B12 and reticulocyte count, which could provide a better understanding of macrocytic anemia in cirrhotic patients.

Conclusion

Macrocytic anemia was highly correlated with the degree of hepatic dysfunction and may be a reliable predictor for mortality in patients with decompensated HBV associated cirrhosis. We found a non-linear relationship between MCV and MELD. Moreover, further large-scale, well-designed and multicenter studies need to be conducted to confirm our conclusions, it is important to evaluate and investigate this association and to gain insight the underlying mechanisms.

Data Availability Statement

The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by the research protocol with a waiver of written informed consent by the Ethics Committee of the First affiliated hospital of Dalian Medical university. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.

Author Contributions

T-YZ designed the study. Q-WC and FL interpreted the data. T-YZ and L-YY drafted the paper. YZ designed the experiments, improved the manuscript. All the authors have read and approved the final manuscript.

Funding

This study was funded by the National Natural Science Foundation of China, grant number 81673728.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

We thank everyone who participated in the study.

References

Bambha, K., Kim, W. R., Kremers, W. K., Therneau, T. M., Kamath, P. S., Wiesner, R., et al. (2004). Predicting Survival Among Patients Listed for Liver Transplantation: an Assessment of Serial MELD Measurements. Am. J. Transpl. 4 (11), 1798–1804. doi:10.1111/j.1600-6143.2004.00550.x

CrossRef Full Text | Google Scholar

Bourlon, M. T., Gao, D., Trigero, S., Clemons, J. E., Breaker, K., Lam, E. T., et al. (2016). Clinical Significance of Sunitinib-Associated Macrocytosis in Metastatic Renal Cell Carcinoma. Cancer Med. 5 (12), 3386–3393. doi:10.1002/cam4.919

PubMed Abstract | CrossRef Full Text | Google Scholar

Carter, B. D., Abnet, C. C., Feskanich, D., Freedman, N. D., Hartge, P., Lewis, C. E., et al. (2015). Smoking and Mortality-Bbeyond Established Causes. N. Engl. J. Med. 372 (7), 631–640. doi:10.1056/NEJMsa1407211

CrossRef Full Text | Google Scholar

Eisenga, M. F., Wouters, H. J. C. M., Kieneker, L. M., van der Klauw, M. M., van der Meer, P., Wolffenbuttel, B. H. R., et al. (2019). Active Smoking and Macrocytosis in the General Population: Two Population-Based Cohort Studies. Am. J. Hematol. 94 (2), E45–e48. doi:10.1002/ajh.25346

CrossRef Full Text | Google Scholar

Finkelmeier, F., Bettinger, D., Köberle, V., Schultheiß, M., Zeuzem, S., Kronenberger, B., et al. (2014). Single Measurement of Hemoglobin Predicts Outcome of HCC Patients. Med. Oncol. 31 (1), 806. doi:10.1007/s12032-013-0806-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Green, R., and Dwyre, D. M. (2015). Evaluation of Macrocytic Anemias. Semin. Hematol. 52 (4), 279–286. doi:10.1053/j.seminhematol.2015.06.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Gupta, S., Read, S. A., Shackel, N. A., Hebbard, L., George, J., and Ahlenstiel, G. (2019). The Role of Micronutrients in the Infection and Subsequent Response to Hepatitis C Virus. Cells 8 (6), 8. doi:10.3390/cells8060603

PubMed Abstract | CrossRef Full Text | Google Scholar

Jang, J. W., Choi, J. Y., Kim, Y. S., Woo, H. Y., Choi, S. K., Lee, C. H., et al. (2015). Long-term Effect of Antiviral Therapy on Disease Course after Decompensation in Patients with Hepatitis B Virus-Related Cirrhosis. Hepatology 61 (6), 1809–1820. doi:10.1002/hep.27723

PubMed Abstract | CrossRef Full Text | Google Scholar

K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification (2002). K/DOQI Clinical Practice Guidelines for Chronic Kidney Disease: Evaluation, Classification, and Stratification. Am. J. Kidney Dis. 39 (2 Suppl. 1), S1–S266.

PubMed Abstract | Google Scholar

Kamath, P. S., and Kim, W. R. (2007). The Model for End-Stage Liver Disease (MELD). Hepatology 45 (3), 797–805. doi:10.1002/hep.21563

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, H. M., Kim, B. S., Cho, Y. K., Kim, B. I., Sohn, C. I., Jeon, W. K., et al. (2013). Elevated Red Cell Distribution Width Is Associated with Advanced Fibrosis in NAFLD. Clin. Mol. Hepatol. 19 (3), 258–265. doi:10.3350/cmh.2013.19.3.258

PubMed Abstract | CrossRef Full Text | Google Scholar

Kloth, J. S. L., Hamberg, P., Mendelaar, P. A. J., Dulfer, R. R., van der Holt, B., Eechoute, K., et al. (2016). Macrocytosis as a Potential Parameter Associated with Survival after Tyrosine Kinase Inhibitor Treatment. Eur. J. Cancer 56, 101–106. doi:10.1016/j.ejca.2015.12.019

CrossRef Full Text | Google Scholar

Lanier, J. B., Park, J. J., and Callahan, R. C. (2018). Anemia in Older Adults. Am. Fam. Physician 98 (7), 437–442.

PubMed Abstract | Google Scholar

Lee, J. Y., Fagan, K. A., Zhou, C., Batten, L., Cohen, M. V., and Stevens, T. (2020). Biventricular Diastolic Dysfunction, Thrombocytopenia, and Red Blood Cell Macrocytosis in Experimental Pulmonary Arterial Hypertension. Pulm. Circ. 10 (2), 2045894020908787. doi:10.1177/2045894020908787

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma, Y. C., Zuo, L., Chen, J. H., Luo, Q., Yu, X. Q., Li, Y., et al. (2006). Modified Glomerular Filtration Rate Estimating Equation for Chinese Patients with Chronic Kidney Disease. J. Am. Soc. Nephrol. 17 (10), 2937–2944. doi:10.1681/asn.2006040368

CrossRef Full Text | Google Scholar

McLean, E., Cogswell, M., Egli, I., Wojdyla, D., and de Benoist, B. (2009). Worldwide Prevalence of Anaemia, WHO Vitamin and Mineral Nutrition Information System, 1993-2005. Public Health Nutr. 12 (4), 444–454. doi:10.1017/s1368980008002401

PubMed Abstract | CrossRef Full Text | Google Scholar

Merion, R. M., Schaubel, D. E., Dykstra, D. M., Freeman, R. B., Port, F. K., and Wolfe, R. A. (2005). The Survival Benefit of Liver Transplantation. Am. J. Transpl. 5 (2), 307–313. doi:10.1111/j.1600-6143.2004.00703.x

CrossRef Full Text | Google Scholar

Mohanty, J. G., Nagababu, E., and Rifkind, J. M. (2014). Red Blood Cell Oxidative Stress Impairs Oxygen Delivery and Induces Red Blood Cell Aging. Front. Physiol. 5, 84. doi:10.3389/fphys.2014.00084

PubMed Abstract | CrossRef Full Text | Google Scholar

Nguyen, M. H., Wong, G., Gane, E., Kao, J. H., and Dusheiko, G. (2020). Hepatitis B Virus: Advances in Prevention, Diagnosis, and Therapy. Clin. Microbiol. Rev. 33 (2). doi:10.1128/cmr.00046-19

PubMed Abstract | CrossRef Full Text | Google Scholar

Ohfuji, S., Matsuura, T., Tamori, A., Kubo, S., Sasaki, S., Kondo, K., et al. (2021). Lifestyles Associated with Prognosis after Eradication of Hepatitis C Virus: A Prospective Cohort Study in Japan. Dig. Dis. Sci. 66 (6), 2118–2128. doi:10.1007/s10620-020-06475-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Peng, C. Y., Chien, R. N., and Liaw, Y. F. (2012). Hepatitis B Virus-Related Decompensated Liver Cirrhosis: Benefits of Antiviral Therapy. J. Hepatol. 57 (2), 442–450. doi:10.1016/j.jhep.2012.02.033

CrossRef Full Text | Google Scholar

Piano, S., Tonon, M., Vettore, E., Stanco, M., Pilutti, C., Romano, A., et al. (2017). Incidence, Predictors and Outcomes of Acute-On-Chronic Liver Failure in Outpatients with Cirrhosis. J. Hepatol. 67 (6), 1177–1184. doi:10.1016/j.jhep.2017.07.008

CrossRef Full Text | Google Scholar

Remková, A., and Remko, M. (2009). Homocysteine and Endothelial Markers Are Increased in Patients with Chronic Liver Diseases. Eur. J. Intern. Med. 20 (5), 482–486. doi:10.1016/j.ejim.2009.03.002

CrossRef Full Text | Google Scholar

Scheiner, B., Semmler, G., Maurer, F., Schwabl, P., Bucsics, T. A., Paternostro, R., et al. (2020). Prevalence of and Risk Factors for Anaemia in Patients with Advanced Chronic Liver Disease. Liver Int. 40 (1), 194–204. doi:10.1111/liv.14229

PubMed Abstract | CrossRef Full Text | Google Scholar

Schuppan, D., and Afdhal, N. H. (2008). Liver Cirrhosis. Lancet 371 (9615), 838–851. doi:10.1016/s0140-6736(08)60383-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Skjelbakken, T., Lappegård, J., Ellingsen, T. S., Barrett-Connor, E., Brox, J., Løchen, M. L., et al. (2014). Red Cell Distribution Width Is Associated with Incident Myocardial Infarction in a General Population: the Tromsø Study. J. Am. Heart Assoc. 3 (4). e001109. doi:10.1161/jaha.114.001109

CrossRef Full Text | Google Scholar

The guidelines of prevention and treatment for chronic hepatitis B 2019 version (2019). The Guidelines of Prevention and Treatment for Chronic Hepatitis B (2019 Version). Zhonghua Gan Zang Bing Za Zhi 27 (12), 938–961. doi:10.3760/cma.j.issn.1007-3418.2019.12.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Tsantes, A. E., Bonovas, S., Travlou, A., and Sitaras, N. M. (2006). Redox Imbalance, Macrocytosis, and RBC Homeostasis. Antioxid. Redox Signal. 8 (7-8), 1205–1216. doi:10.1089/ars.2006.8.1205

PubMed Abstract | CrossRef Full Text | Google Scholar

Uchida, D., Takaki, A., Oyama, A., Adachi, T., Wada, N., Onishi, H., et al. (2020). Oxidative Stress Management in Chronic Liver Diseases and Hepatocellular Carcinoma. Nutrients 12 (6). 1576. doi:10.3390/nu12061576

PubMed Abstract | CrossRef Full Text | Google Scholar

Wiesner, R., Edwards, E., Freeman, R., Harper, A., Kim, R., Kamath, P., et al. (2003). Model for End-Stage Liver Disease (MELD) and Allocation of Donor Livers. Gastroenterology 124 (1), 91–96. doi:10.1053/gast.2003.50016

PubMed Abstract | CrossRef Full Text | Google Scholar

Xiao, J., Wang, F., Wong, N. K., He, J., Zhang, R., Sun, R., et al. (2019). Global Liver Disease Burdens and Research Trends: Analysis from a Chinese Perspective. J. Hepatol. 71 (1), 212–221. doi:10.1016/j.jhep.2019.03.004

CrossRef Full Text | Google Scholar

Yang, J., Yan, B., Yang, L., Li, H., Fan, Y., Zhu, F., et al. (2018). Macrocytic Anemia Is Associated with the Severity of Liver Impairment in Patients with Hepatitis B Virus-Related Decompensated Cirrhosis: a Retrospective Cross-Sectional Study. BMC Gastroenterol. 18 (1), 161. doi:10.1186/s12876-018-0893-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Yoon, H. J., Kim, K., Nam, Y. S., Yun, J. M., and Park, M. (2016). Mean Corpuscular Volume Levels and All-Cause and Liver Cancer Mortality. Clin. Chem. Lab. Med. 54 (7), 1247–1257. doi:10.1515/cclm-2015-0786

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: macrocytic anemia, decompensated HBV associated cirrhosis, MELD score, degree of liver damage, mean corpuscular volume

Citation: Zhao T-Y, Cong Q-W, Liu F, Yao L-Y and Zhu Y (2021) Nonlinear Relationship Between Macrocytic Anemia and Decompensated Hepatitis B Virus Associated Cirrhosis: A Population-Based Cross-Sectional Study. Front. Pharmacol. 12:755625. doi: 10.3389/fphar.2021.755625

Received: 09 August 2021; Accepted: 06 September 2021;
Published: 20 September 2021.

Edited by:

Jian Gao, Shanghai Children’s Medical Center, China

Reviewed by:

Li YiLing, The First Affiliated Hospital of China Medical University, China
Yang Ding, ShengJing Hospital of China Medical University, China

Copyright © 2021 Zhao, Cong, Liu, Yao and Zhu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Ying Zhu, zhuyingsh53@126.com