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Letter to the Editor| Volume 59, ISSUE 6, 102926, December 2020

Anemia is associated with severe coronavirus disease 2019 (COVID-19) infection

      Dear Editor,
      Until recently, the number of positive and death cases from coronavirus disease 2019 (COVID-19) is still increasing. This pandemic disease has caused a significant impact and burden on all aspects of life, especially on the economic and health aspect. Therefore, identification of risk factors that contribute to the development of the severe disease is very important to enable risk stratification, optimize hospital resources reallocation, and guide public health recommendations and interventions. A previous study has shown that anemia was common in patients with community-acquired pneumonia (CAP) and was associated with a higher 90-day mortality rate [
      • Reade M.C.
      • Weissfeld L.
      • Angus D.C.
      • Kellum J.A.
      • Milbrandt E.B.
      The prevalence of anemia and its association with 90-day mortality in hospitalized community-acquired pneumonia.
      ]. Unfortunately, no study provides clear evidence regarding the link between anemia and COVID-19. This article aims to explore the potential association between anemia and the severity of COVID-19 infection.
      A search of the literature was conducted on Google scholar using the keywords "anemia" OR “hematologic” OR "clinical characteristics" OR "comorbidities" OR "risk factors" AND "coronavirus disease 2019" OR "COVID-19", until July 21st, 2020) with language restricted to English only. The title, abstract, and full text of all articles identified that matched the search criteria were assessed, and those reporting the rate of anemia in COVID-19 patients with a clinically validated definition of "severe disease" were included in this meta-analysis.
      A meta-analysis was performed using Review Manager 5.4 (Cochrane Collaboration) software. Dichotomous variables were calculated using the Mantel-Haenszel formula with random-effects models. We used the I2 statistic to assess the heterogeneity, value of < 25 %, 26–50 %, and > 50 % considered as low, moderate, and high degrees of heterogeneity, respectively. The effect estimate was reported as odds ratio (OR) along with its 95 % confidence intervals (CIs) for dichotomous variables, respectively. P-value was two-tailed, and the statistical significance set at ≤0.05.
      A total of 17,200 records were obtained through systematic electronic searches and other ways. After screening titles, abstracts, and full texts, 7 studies [
      • Cai Y.Q.
      • Zhang X.B.
      • Zeng H.Q.
      • Wei X.J.
      • Zhang Z.Y.
      • Chen L.D.
      • et al.
      Prognostic value of neutrophil-to-lymphocyte ratio, lactate dehydrogenase, D-Dimer and CT score in patients with COVID-19.
      ,
      • Ji W.
      • Huh K.
      • Kang M.
      • Hong J.
      • Bae G.H.
      • Lee R.
      • et al.
      Effect of underlying comorbidities on the infection and severity of COVID-19 in Korea: a nationwide case-control study.
      ,
      • Xu P.P.
      • Tian R.H.
      • Luo S.
      • Zu Z.Y.
      • Fan B.
      • Wang X.M.
      • et al.
      Risk factors for adverse clinical outcomes with COVID-19 in China: a multicenter, retrospective, observational study.
      ,
      • Zhang J.
      • Wang X.
      • Jia X.
      • Li J.
      • Hu K.
      • Chen G.
      • et al.
      Risk factors for disease severity, unimprovement, and mortality in COVID-19 patients in Wuhan, China.
      ,
      • Zhao J.
      • Gao H.Y.
      • Feng Z.Y.
      • Wu Q.J.
      A retrospective analysis of the clinical and epidemiological characteristics of COVID-19 patients in Henan Provincial People’s Hospital, Zhengzhou, China.
      ,
      • Zhao J.
      • Zhu M.
      • Su X.
      • Huang M.
      • Yang Y.
      • Huang J.
      • et al.
      Clinical characteristics and risk factors for severe-critically ill COVID-19 adult patients in Jiangsu, China: a multiple-centered, retrospective study.
      ,
      • Zheng F.
      • Tang W.
      • Li H.
      • Huang Y.X.
      • Xie Y.L.
      • Zhou Z.G.
      Clinical characteristics of 161 cases of corona virus disease 2019 (COVID-19) in Changsha.
      ] with a total of 9,912 COVID-19 patients were included in the meta-analysis. The essential characteristics of the included studies and the cut-off value for anemia diagnosis are summarized in Table 1. Most of the included studies define anemia when the hemoglobin (Hb) levels were below 13 g/L, while one included study use the cut-off value of Hb <11 g/L to define anemia. The individual and pooled ORs for anemia predicting severe COVID-19 are shown in Fig. 1. Our pooled analysis showed a significant association of anemia with severe COVID-19, with moderate heterogeneity [OR 2.44 (95 % CI 1.75–3.40), p < 0.00001, I2 = 47 %, random-effect modelling].
      Table 1Characteristics of included studies.
      StudySample sizeDesignAnemia cut-offSevere patientsNon-severe patients
      n (%)Age (years)n (%)Age (years)
      Cai Y et al. [
      • Cai Y.Q.
      • Zhang X.B.
      • Zeng H.Q.
      • Wei X.J.
      • Zhang Z.Y.
      • Chen L.D.
      • et al.
      Prognostic value of neutrophil-to-lymphocyte ratio, lactate dehydrogenase, D-Dimer and CT score in patients with COVID-19.
      ] 2020
      432Retrospective cohortHb <13 g/L125 (28.9 %)59.6 ± 16.6307 (71.1 %)50.1 ± 16.2
      Ji W et al. [
      • Ji W.
      • Huh K.
      • Kang M.
      • Hong J.
      • Bae G.H.
      • Lee R.
      • et al.
      Effect of underlying comorbidities on the infection and severity of COVID-19 in Korea: a nationwide case-control study.
      ] 2020
      7341Case-controlHb <13 g/L954 (12.9 %)67 ± 15.16387 (87.1 %)44 ± 17.7
      Xu P et al. [
      • Xu P.P.
      • Tian R.H.
      • Luo S.
      • Zu Z.Y.
      • Fan B.
      • Wang X.M.
      • et al.
      Risk factors for adverse clinical outcomes with COVID-19 in China: a multicenter, retrospective, observational study.
      ] 2020
      703Retrospective cohortHb <13 g/L55 (7.8 %)60.5 ± 17.2648 (92.2 %)44.9 ± 14.3
      Zhang J et al. [
      • Zhang J.
      • Wang X.
      • Jia X.
      • Li J.
      • Hu K.
      • Chen G.
      • et al.
      Risk factors for disease severity, unimprovement, and mortality in COVID-19 patients in Wuhan, China.
      ] 2020
      663Retrospective cohortHb <13 g/L409 (61.6 %)63.4 ± 17254 (38.4 %)48.7 ± 18.5
      Zhao J et al. [
      • Zhao J.
      • Gao H.Y.
      • Feng Z.Y.
      • Wu Q.J.
      A retrospective analysis of the clinical and epidemiological characteristics of COVID-19 patients in Henan Provincial People’s Hospital, Zhengzhou, China.
      ] 2020
      29Retrospective cohortHb <13 g/L21 (72.4 %)60.8 ± 19.68 (27.6 %)36.7 ± 20.3
      Zhao JN et al. [
      • Zhao J.
      • Zhu M.
      • Su X.
      • Huang M.
      • Yang Y.
      • Huang J.
      • et al.
      Clinical characteristics and risk factors for severe-critically ill COVID-19 adult patients in Jiangsu, China: a multiple-centered, retrospective study.
      ] 2020
      583Retrospective cohortHb <13 g/L84 (14.4 %)57.2 ± 12.3499 (85.6 %)45.3 ± 17
      Zheng F et al. [
      • Zheng F.
      • Tang W.
      • Li H.
      • Huang Y.X.
      • Xie Y.L.
      • Zhou Z.G.
      Clinical characteristics of 161 cases of corona virus disease 2019 (COVID-19) in Changsha.
      ] 2020
      161Retrospective cohortHb <11 g/L30 (18.6 %)56.5 ± 14.4131 (81.4 %)40.6 ± 14.8
      Fig. 1
      Fig. 1Forest plot that demonstrates the association of anemia with severe outcome of COVID-19 infection. Events means the severe disease outcome, while non-events means the non-severe disease outcome.
      Based on a contrite meta-analysis of available data, anemia seems to be associated with an enhanced risk of severe COVID-19 infection. The possible pathophysiological link between anemia and severe COVID-19 can be explained by these reasons. Patients with anemia will have low hemoglobin levels. In the circulation system, hemoglobin serves as a carrier for oxygen to target organs in the body. When the concentration of the hemoglobin in the circulation is low, the transport of oxygen to several organs in the body will be disrupted, therefore causing hypoxia that will eventually result in multiple organ dysfunction, especially respiratory organ dysfunction [
      • Hemauer S.J.
      • Kingeter A.J.
      • Han X.
      • Shotwell M.S.
      • Pandharipande P.P.
      • Weavind L.M.
      Daily lowest hemoglobin and risk of organ dysfunctions in critically ill patients.
      ]. Multiple organ dysfunction will contribute to the development of severe outcomes in COVID-19 infection. Moreover in COVID-19 infections, the state of anemia in the patients could be worsened. First, SARS-CoV-2 can interact with hemoglobin molecules on the erythrocyte through ACE2, CD147, and CD26 receptors. This viral-hemoglobin interaction will cause the virus to attack the heme on the 1-beta chain of hemoglobin and causing hemolysis [
      • Cavezzi A.
      • Troiani E.
      • Corrao S.
      COVID-19: hemoglobin, iron, and hypoxia beyond inflammation. A narrative review.
      ]. Second, SARS-CoV-2 may mimic the action of hepcidin which increases circulating and tissue ferritin (affecting liver, spleen, bone marrow, and muscles mainly), while inducing serum iron deficiency and lack of hemoglobin, by consequence. The resulting hyperferritinemia will give rise to ferroptosis, with high oxidative stress and lipoperoxidation that can precipitate the inflammatory/immune over-response (cytokine storm) and causing a severe outcome of the disease [
      • Cavezzi A.
      • Troiani E.
      • Corrao S.
      COVID-19: hemoglobin, iron, and hypoxia beyond inflammation. A narrative review.
      ]. Patients with anemia should hence be advised to take extra precautions to minimize risk exposure to the virus. Physicians should be engaged in close monitoring of anemic patients with suspected COVID-19, for timely detecting signs of disease progression. Finally, the presence of anemia shall be regarded as an important factor in future risk stratification models for COVID-19.

      CRediT authorship contribution statement

      Timotius Ivan Hariyanto: Conceptualization, Data curation, Methodology, Investigation, Validation, Visualization, Writing - original draft, Writing - review & editing. Andree Kurniawan: Conceptualization, Validation, Resources, Writing - original draft, Writing - review & editing, Supervision.

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