key: cord-0812133-phlwhzke
authors: Cao, Peng; Wu, Yuanjue; Wu, Sanlan; Wu, Tingting; Zhang, Qilin; Zhang, Rui; Wang, Zhao; Zhang, Yu
title: Elevated serum ferritin level effectively discriminates severity illness and liver injury of coronavirus disease 2019 pneumonia
date: 2021-02-10
journal: Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals
DOI: 10.1080/1354750x.2020.1861098
sha: ad17ec129fd9fa10265197701c6af9e74cfdcd06
doc_id: 812133
cord_uid: phlwhzke

AIM: Ferritin is a hepatic protein that plays vital roles in diagnosing and predicting diseases, but its potential in coronavirus disease 2019 (COVID-19) remains unknown. METHOD: We collected clinical records from 79 COVID-19 patients at Wuhan Union hospital (China). Spearman’s correlation analysis, receiver operating characteristic (ROC) curve and Kaplan–Meier survival curves were employed. RESULTS: Patients with elevated ferritin levels had a higher incidence of severity illness (50.0 vs 2.9%) and liver injury (52.3 vs 20.0%) when compared with patients with normal ferritin levels (p < 0.05). Ferritin could effectively identify the severity of illness (ROC area 0.873) and liver injury (ROC area 0.752). The elevated ferritin group showed longer viral clearance time (median 16 vs 6 days, p < 0.001) and in-hospital length (median 18 vs 10 days, p < 0.001). CONCLUSIONS: It suggests that ferritin could act as an easy-to-use tool to identify liver injury and severity illness and predict the prognosis of COVID-19 patients. Intensive surveillance is necessary for patients with abnormal ferritin levels.

The coronavirus disease 2019 pandemic has spread to the whole world and the number of diagnosed cases is accelerating every day (Cao et al. 2020 , Wu F et al. 2020 . Medical resources in every country are in shortage, so there is an urgent need of seeking indicators for disease severity and prognosis at an early stage, which is believed to significantly reduce the medical stress and mortality rate.

As an acute-phase protein that can be induced in the setting of systemic inflammation, ferritin has been identified as a discriminative, predictive, or prognostic marker in patients with liver diseases (Kowdley et al. 2012 , Jung et al. 2019 , Shah and Kowdley 2019 . In this fight against the COVID-19 pandemic, ferritin has been drawing increasing attention as a risk factor in the stratification or prognosis of COVID-19 (Kappert et al. 2020 , Mehta et al. 2020 , Sun et al. 2020 , Wu C et al. 2020 . However, its value still remains to be explored even though clinical observation has discovered the abnormal ferritin levels in severe COVID-19 patients (Chen G et al. 2020 , Zhou et al. 2020 . Herein, we aimed to assess the ability of ferritin in discriminating liver injury and severe illness on admission, as well as the potential of predicting outcome, to provide guidance for subsequent clinical practice.

Ferritin could act as a simple and efficacious complementary tool to identify severe COVID-19 patients at early stage and predict their outcome. This indicator would provide guidance for subsequent clinical practice, alleviate the medical stress and reduce the mortality. assessment. All procedures followed the instructions of the Local Ethics Committee (approval 2020 NO. 0134). From 12 January 2020 to 21 February 2020, a total of 147 consecutive patients were initially enrolled from the department of infectious diseases of Wuhan Union Hospital, all of which were confirmed cases of COVID-19 after examination of COVID-19 RNA by RT-PCR (upper respiratory throat swab samples) and also chest computerized tomography (CT) scanning. One patient who died of traumatic brain injury with viral pneumonia was excluded. Patients without ferritin detection on admission were excluded. Therefore, 79 inpatients were enrolled in this study.

According to 'diagnosis and treatment of novel coronavirus pneumonia', severe illness on admission was defined when any of the following criteria is met: (1) shortness of breath (respire rate !30 times/min); (2) the oxygen saturation is less than 93% in resting-state; (3) arterial partial pressure of oxygen (PaO 2 )/oxygen concentration (FiO 2 ) 300 mmHg (1 mmHg ¼ 0.133 kPa). As described previously, patients with elevated levels of alanine transaminase (ALT) or aspartate aminotransferase (AST) or bilirubin were defined as liver injury (Xie et al. 2020 ).

The data of demographics, laboratory examinations, CT scan, clinical characteristics, treatments and outcomes were acquired by the hospitalization management system. All the laboratory examinations were completed in the same laboratory department with the same standard in Union hospital. All the data were collected by well-trained researchers with a double-blind method. Data collection of laboratory results were defined using the first-time examination at admission, except that ferritin levels of Figure 1 (B,D) were monitored at different time points during the whole hospitalization of patients. The date of symptom onset, admission, negative detection of COVID-19 RNA, discharge and death were recorded accurately. The date of admission was used as the starting point of the virus clearance process, and the date of the negative detection of COVID-19 RNA was calculated as the ending point of viral clearance.

Spearman's correlation analysis was used to explore the coefficients of ferritin with liver damage/function biomarkers. The performance of the discriminant model was characterized by estimating the area under the receiver operating characteristic (ROC) curve (AUC). The cut-off value of ROC was calculated based on the maximum Youden index, which was used to assess global diagnostic effectiveness. Cumulative survival curves of hospitalisation span and viral clearance time were estimated using the Kaplan-Meier estimation method for two groups with normal and elevated ferritin levels (ferritin 200 ng/mL and ferritin >200 ng/mL) by log-rank test. All of the analyses were performed with the R software version 3.4.3 (http://www.R-project.org, The R Foundation) and EmpowerStats version 2.20 (http://www.empowerstats.com, X&Y Solutions, Inc., Boston, MA). A two-sided p-value <0.05 was determined as with statistically significant differences.

All participants were divided into two groups according to ferritin levels of the clinical reference range. As shown in Supplementary Table 1 , there were significant differences of sex between the two groups, with male patients accounting for 68.2% in the elevation ferritin group but only 17.1% in the normal ferritin group (p < 0.001). The average age of the elevation ferritin group was also significantly larger than the normal ferritin group (49.9 vs 36.8-years-old). The other characteristics including systolic blood pressure (SBP), diastolic blood pressure (DBP), respire, pulse, smoking, comorbidities and symptoms of both groups were recorded but no statistical difference was found. Of 79 patients enrolled, 2 died in hospital, 8 were transferred to other hospitals, and 69 were discharged. Table 1 shows the clinical characteristics of COVID-19 patients, it is obvious that the incidence of severe illness in the elevation ferritin group was significantly higher than that of the normal group (50.0 vs 2.9%, p < 0.001). Likewise, liver injury was more frequently found in patients with higher ferritin levels, compared to those with normal ferritin levels (52.3 vs 20.0%, p ¼ 0.003), as demonstrated by abnormal levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), c-glutamyl transferase (GGT), alkaline phosphatase (ALP) and albumin (p < 0.05). A spearman's correlation analysis was also employed to demonstrate the relationship between ferritin and hepatic biomarkers (Supplementary Figure 1) . Ferritin was highly positively correlated to AST, ALT and GGT (r > 0.57 and p < 0.001), but weakly correlated with albumin, ALP and total bilirubin (TBIL) (r ¼ À0.389, 0.248 and 0.274 for albumin, ALP and TBIL, respectively, p < 0.05).

Other biomarkers including fasting blood glucose (FBG), triglyceride (TG), high-density lipoprotein cholesterol (HDL-c), serum amyloid protein A (SAA), interleukin-6 (IL-6), creatinine (Cre), lactic dehydrogenase (LDH), D-dimer, leucocytes, lymphocytes%, neutrophils, neutrophil-to-lymphocyte ratio (NLR), C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR) also significantly differed between two groups (p < 0.05).

As mentioned above, there existed significantly more severe cases and liver injury patients in the elevation ferritin group than the normal group. In addition, we compared the ferritin levels between severe and non-severe groups or liver injury and normal liver groups, finding that the ferritin level of the severe group was significantly higher than that of the nonsevere group (median 921.3 (IQR 440.0-1609.8) vs median 130.7 (IQR 58.8-320.4), p < 0.001) (Figure 1(A,B) ). Similarly, the ferritin level of liver injury groups was also significantly higher than that of the normal liver group (median 499.4 (IQR 256.2-1456.7) vs median 130.8 (IQR 59.2-432.3), p < 0.001) (Figure 1(C,D) ). In addition, we also collected CT images of three representative COVID-19 inpatients (the level of ferritin was also detected on the same day), it seemed that ferritin variations might be consistent with CT manifestation (Figure 1(E) ). But this speculation still needs more supporting data.

As shown in Figure 2(A) , the diagnostic value of ferritin for the incidence of severe illness was compared to that of age, sex, CRP and LYM%, which had been recognised as the risk factors of COVID-19 (Huang et al. 2020 , Jordan et al. 2020 , Tan C et al. 2020 , Tan L et al. 2020 . AUC of ROC plot for ferritin was 0.873 (95% CI: 0.798-0.954), larger than that of age (0.697, 95% CI: 0.567-0.828), CRP (0.730, 95% CI: 0.602-0.859) and lymphocytes% (LYM%, 0.717, 95% CI: 0.586-0.847), indicating ferritin possesses a considerable diagnostic value for severity of patients on admission. The best cut-off value of ferritin was 272.5 ng/mL, with a sensitivity of 96% and specificity of 70%. Furthermore, we established a multivariable diagnostic model incorporating sex, age, ferritin, LYM% and CRP (n ¼ 69, 0.862 (95% CI: 0.761-0.962), sensitivity 77%, specificity 87%). It is interesting to find that the diagnostic ability of the integrated model showed a similar value compared with ferritin alone (p ¼ 0.981).

It was reported that NLR and CRP are associated with the liver function of COVID-19 patients ). Therefore, we compared the diagnostic ability of ferritin with age, NLR and CRP towards liver injury of COVID-19 patients (Figure 2(B) ). The results showed that AUC of ROC plot for ferritin was 0.752 (95% CI: 0.644-0.861), larger than that of age (0.593, 95% CI: 0.462-0.724), CRP (0.637, 95% CI: 0.501-0.774) and NLR (0.650, 95% CI: 0.509-0.791), indicating ferritin possesses a considerable diagnostic value for liver injury of patients on admission. The best cut-off value of ferritin was 236.3 ng/mL, with a sensitivity of 77% and specificity of 63%. Furthermore, we established a multivariable diagnostic model incorporating sex, age, ferritin, NLR and CRP (n ¼ 69, 0.842 (95% CI: 0.742-0.942), sensitivity 84%, specificity 77%). The AUC of this integrated model is larger than that of the ferritin independent model (n ¼ 69, 0.770 (95% CI: 0.657-0.883), sensitivity 76%, specificity 68%), but no statistical significance was observed (p ¼ 0.141).

The median duration of viral clearance was 6 days (IQR 2-25) in the normal ferritin group ( 200 ng/mL), while the clearance time in the elevation ferritin group (>200 ng/mL) was 16 days (IQR 2-47). The viral clearance events in the normal group and elevation ferritin group by using Kaplan-Meier survival analysis were displayed in Figure 2 (C) (p < 0.001). Besides, we recorded the length of hospitalization of all patients except 2 deceased ones and 8 patients that transferred to other hospitals. Our result showed that patients with higher ferritin levels on admission stayed in the hospital for a longer time (18 days, IQR 3-47) when compared with the ones with normal ferritin levels (10 days, IQR 5-29). The discharge events in the normal group and elevation ferritin group by using Kaplan-Meier survival analysis are displayed in Figure 2 (D) (p < 0.001).

Until now, there is no effective medicine available to treat COVID-19. Medical resources in every country are in shortage or even overdrawn, so there is an urgent need of seeking effective biomarkers that can identify the patients at risk upon their admission. Only in this way, can medical staffs make greater use of limited medical resources and reduce mortality. For the first time, the present study shows the ability of ferritin in identifying the liver injury and severe illness of COVID-19 patients.

Herein, the data of 79 patients with COVID-19 pneumonia were analyzed, the baseline characteristics of patients with elevated and normal ferritin levels were described and compared. The integrated models did not show better diagnostic ability on COVID-19 severity illness or liver injury significantly, compared with ferritin alone, demonstrating that ferritin might act as an independent easy-to-use indicator. In addition, we compared the viral clearance rate and in-hospital length between the elevation ferritin group and the normal group, finding that ferritin was also a discriminated indicator for the prognosis of COVID-19 patients. Viral clearance is the golden standard for defining the recovery of COVID-19 infections and predicting in-hospital length is extremely vital in COVID-19 treatment due to the lack of medical resources (Chen X et al. 2020 ). Thus, we suppose ferritin could act as Figure 2 . (A) ROC curves of potential risk factors for severity illness (n ¼ 79 for age and ferritin; n ¼ 75 for LYM%; n ¼ 70 for CRP; n ¼ 69 for integrated model, integrating gender, age, ferritin, LYM% and CRP); (B) ROC curves of potential risk factors for liver injury (n ¼ 79 for age and ferritin, n ¼ 75 for NLR, n ¼ 70 for CRP; n ¼ 69 for integrated model, integrating gender, age, ferritin, NLR and CRP); Kaplan-Meier estimates of viral clearance rate (C) and inpatient discharge rate (D) over time stratified by serum ferritin levels (77 patients were included except 2 deceased ones). effective discriminators for liver injury, severity illness, and prognosis.

Ferritin is an acute-phase protein that can be released from damaged hepatocytes (Koperdanova and Cullis 2015, Cao et al. 2019) . Hyperferritinemia has been previously recognized in abnormal liver function conditions or metabolic syndrome (Trombini and Piperno 2007, Kowdley et al. 2012) . In our study, COVID-19 patients with elevated ferritin levels possessed significantly more risk of liver injury and severity of illness. Previous observations also found that liver injury was prevalent in patients with COVID-19 (Mantovani et al. 2020 , Xu et al. 2020 . Therefore, we recommend that patients should pay close attention to the risk of developing secondary liver diseases after they are discharged. Intensive surveillance and regular comprehensive medical examination are necessary, especially for those with abnormal ferritin levels.

However, there were some limitations in the study. First, this was a single-center retrospective study with limited size. Second, some cases had incomplete biochemistry determinations. Third, the present study failed to predict the mortality of COVID-19 patients due to the insufficient number of deaths.

In summary, these findings indicate that early examination of ferritin might effectively identify liver injury, severity illness and poor prognosis of COVID-19 patients. We suppose that ferritin could act as a simple complementary tool to help to guide clinical decisions and facilitating appropriate treatment. Patients with elevated admission ferritin level should be provided with strengthened attention and treatment. However, more studies are needed to confirm these findings and to explore exact pathological mechanisms.

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We acknowledge all the front-line medical staffs fighting against COVID-19. We show our respect to those who have sacrificed in this war.

Peng Cao: data collection, writing-original draft preparation, conceptualization; Yuanjue Wu: data analysis, manuscript revision; Sanlan Wu: data collection; Tingting Wu: data collection; Rui Zhang: data collection; Qilin Zhang: data collection; Zhao Wang: data collection; Yu Zhang: supervision.

No potential conflict of interest was reported by the author(s).