Skip to main content

SYSTEMATIC REVIEW article

Front. Med., 22 December 2021
Sec. Gastroenterology
Volume 8 - 2021 | https://doi.org/10.3389/fmed.2021.676581

Elevated De Ritis Ratio Is Associated With Poor Prognosis in COVID-19: A Systematic Review and Meta-Analysis

Raymond Pranata1* Ian Huang1,2 Michael Anthonius Lim1 Emir Yonas3 Rachel Vania1,4 Antonia Anna Lukito1,5 Sally Aman Nasution6 Bambang Budi Siswanto7 Raden A. Tuty Kuswardhani8
  • 1Faculty of Medicine, Universitas Pelita Harapan, Tangerang, Indonesia
  • 2Faculty of Medicine, Department of Internal Medicine, Hasan Sadikin General Hospital, Universitas Padjadjaran, Bandung, Indonesia
  • 3Faculty of Medicine, Universitas YARSI, Jakarta, Indonesia
  • 4Faculty of Medicine, Division of Plastic, Reconstructive, and Aesthetic, Department of Surgery, Sanglah General Hospital, Udayana University, Jimbaran, Indonesia
  • 5Department of Cardiology and Vascular Medicine, Siloam Hospitals Lippo Village, Tangerang, Indonesia
  • 6Faculty of Medicine, Division of Cardiology, Department of Internal Medicine, Universitas Indonesia/Cipto Mangunkusumo National General Hospital, Jakarta, Indonesia
  • 7Faculty of Medicine, Department of Cardiology and Vascular Medicine, National Cardiovascular Center Harapan Kita, Universitas Indonesia, Jakarta, Indonesia
  • 8Faculty of Medicine, Division of Geriatrics, Department of Internal Medicine, Sanglah Teaching Hospital, Udayana University, Denpasar, Indonesia

Objective: This meta-analysis aims to assess whether elevated De Ritis ratio is associated with poor prognosis in patients with coronavirus 2019 (COVID-19).

Methods: A systematic literature search was performed using PubMed, Embase, and EuropePMC databases up until September 17, 2021. De Ritis ratio is also known as Aspartate aminotransferase/alanine transaminase (AST/ALT) ratio. The main outcome was poor prognosis, a composite of mortality, severity, the need for ICU care, and intubation. The effect measure was odds ratios (ORs) and mean differences. We generated sensitivity and specificity, negative and positive likelihood ratio (NLR and PLR), diagnostic odds ratio (DOR), and area under curve (AUC).

Results: There were eight studies with 4,606 patients. De Ritis ratio was elevated in 44% of the patients. Patients with poor prognosis have higher De Ritis ratio [mean difference 0.41 (0.31, 0.50), p < 0.001; I2: 81.0%] and subgroup analysis showed that non-survivors also have higher De Ritis Ratio [mean difference 0.47 (0.46, 0.48), p < 0.001; I2: 0%]. Elevated De Ritis ratio was associated with poor prognosis [OR 3.28 (2.39, 4.52), p < 0.001; I2: 35.8%]. It has a sensitivity of 55% (36–73), specificity of 71% (52–85), PLR 1.9, NLR.63, DOR of 3 (2–4), and AUC of.67 (0.63–0.71). The posterior probability of poor prognosis was 38% if De Ritis is elevated, while 17% if De Ritis is not elevated.

Conclusion: Elevated De Ritis ratio is associated with poor prognosis in patients with COVID-19.

Systematic Review Registration: PROSPERO ID: CRD42020216634.

Introduction

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spread rapidly and causes a considerable number of deaths worldwide (1). Although most patients with coronavirus 2019 disease (COVID-19) have mild-to-moderate symptoms, they may develop severe COVID-19 with multi-organ dysfunction, cardiorespiratory collapse, coagulopathy and thrombosis, sepsis, and even death (2, 3). Common symptoms include fever, cough and dyspnea, and minor symptoms are dysgeusia, anosmia, gastrointestinal symptoms, cutaneous manifestation, and headache (46). Although the virus primarily affects the lungs, it may invade and damage other organs, such as the heart and vasculature, coagulation system, liver, kidneys, intestine, and central nervous system (712).

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been reported to cause a varying degree of liver injury (13). Liver injury is more frequently found in patients with severe COVID-19 and is associated with an increased risk of poor outcomes (14). The ratio between the two most routinely requested liver function panel, the aspartate aminotransferase (AST)/alanine aminotransferase (ALT) ratio or more commonly known as the De Ritis ratio, was recently reported as a possible biomarker for prognostication in patients with COVID-19 (15). Therefore, we conducted a systematic review and meta-analysis to evaluate the association between De Ritis ratio and composite poor outcomes in COVID-19.

Materials and Methods

The study was registered in the PROSPERO database (CRD42020216634) and was conducted per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

Eligibility Criteria

Research articles (both prospective and retrospective cohorts) that contain information on De Ritis ratio and mortality, severity, intensive care unit (ICU) care admission or need for intubation were included in the study. We excluded preprints, review articles, editorial, commentaries, conference abstracts, letters, and case reports/series.

Search Strategy and Study Selection

We performed a systematic literature search from PubMed database, Embase database, and EuropePMC database with the search terms “COVID-19” OR “2019-nCoV” OR “SARS-CoV-2” AND “De Ritis Ratio” OR “AST ALT Ratio.” The search was finalized on September 17, 2021. The PubMed search strategy was [(COVID-19) OR (2019-nCoV) OR (SARS-CoV-2)] AND [(De Ritis Ratio) OR (AST ALT Ratio)]. Two independent authors performed the initial search and duplicate removal. The inclusion and exclusion criteria served as the basis for article exclusion during the title or abstract screening and evaluation of full-text articles.

Data Collection

Data extraction from the eligible studies was conducted by two authors who are independently using pre-built forms containing the author, study design, origin, AST, ALT, cut-off for elevated De Ritis ratio, sample size, age, gender, obesity, diabetes, elevated liver enzymes, and outcome of interests.

The main outcome was poor prognosis, a composite of mortality, severity, need for ICU care, and need for intubation. Mortality was defined as non-survivor or death.

Severity was defined according to the studies inclusion parameters, need for ICU care, and intubation. The effect measure was the odds ratios (ORs) and mean differences. Diagnostic meta-analysis was performed to generate diagnostic values, which consisted of sensitivity, specificity, negative and positive likelihood ratio (NLR and PLR), diagnostic odds ratio (DOR), and area under curve (AUC).

Risk of Bias Assessment

The risk of bias assessment was performed independently by two authors with the help of Newcastle-Ottawa Scale (NOS). Discrepancies were resolved by discussion. The Egger's test and Deek's funnel plot asymmetry test was used to assess the presence of small-study effects and publication bias, respectively.

Statistical Analysis

STATA 16 (College Station, TX) was used to perform statistical analysis. Meta-analysis of proportions was performed to pool the incidence of elevated De Ritis Ratio. DerSimonian and Laird method random-effects models were used to pool ORs and mean differences, notwithstanding heterogeneity. p < 0.05 were considered statistically significant. Inter-study heterogeneity was evaluated using the I-squared (I2) and Cochrane Q test, an I2 > 50% or p < 0.10 indicates substantial heterogeneity. We performed pooling of sensitivity and specificity and generated a summary receiver operating characteristic (SROC) curve. Relationship between prior probability and posterior probability was evaluated using Fagan's nomogram. Subgroup analysis was performed for mortality outcome.

Results

Baseline Characteristics

There were eight studies with 4,606 patients in this meta-analysis (Figure 1) (7, 1619). The mean age of patients in this study was 64.3 years, whereas 46.3% of the patients were male. The characteristics of the studies are presented in Table 1. Patients with poor prognosis have higher AST levels [mean difference 8.82 (5.47, 12.17), p < 0.001; I2: 71.7%, p = 0.007] (Figure 2A), but not ALT levels [mean difference 0.43 (−5.03, 5.88), p = 0.878; I2: 88.3%, p < 0.001] (Figure 2B). De Ritis ratio was elevated in 24% of the patients. Poor prognosis occurs in 26% of the patients.

FIGURE 1
www.frontiersin.org

Figure 1. PRISMA flowchart.

TABLE 1
www.frontiersin.org

Table 1. Characteristics of the included studies.

FIGURE 2
www.frontiersin.org

Figure 2. Mean difference in aspartate aminotransferase (AST) (A) and alanine transaminase (ALT) (B) level between poor and good prognosis.

Elevated De Ritis Ratio and Poor Prognosis

Patients with poor prognosis have higher De Ritis ratio [mean difference 0.41 (0.31, 0.50), p < 0.001; I2: 81.0%, p < 0.001] (Figure 3) and subgroup analysis showed that non-survivors also have higher De Ritis Ratio [mean difference 0.47 (0.46, 0.48), p < 0.001; I2: 0%, p = 0.463]. Elevated De Ritis ratio was associated with poor prognosis [OR 3.28 (2.39, 4.52), p < 0.001; I2: 35.8%, p = 0.182] (Figure 4) and subgroup analysis also showed that elevated De Ritis ratio was associated with mortality [OR 3.36 (1.93, 5.85), p < 0.001; I2: 51.7%, p = 0.102]. It has a sensitivity of 55% (36–73), specificity of 71% (52–85), PLR 1.9, NLR 0.63, DOR of 3 (2–4), and AUC of 0.67 (0.63–0.71) (Figure 5). The posterior probability of poor prognosis was 38% if De Ritis was elevated, while 17% if De Ritis was not elevated (Figure 6).

FIGURE 3
www.frontiersin.org

Figure 3. Mean difference in De Ritis ratio between poor and good prognosis.

FIGURE 4
www.frontiersin.org

Figure 4. Odds ratio for elevated De Ritis ratio and poor prognosis.

FIGURE 5
www.frontiersin.org

Figure 5. Summary receiver operating characteristic (SROC) curve.

FIGURE 6
www.frontiersin.org

Figure 6. Fagan's nomogram.

Risk of Bias Assessment

Newcastle-Ottawa Scale (NOS) indicates a low-moderate risk of bias (Table 1). There is no indication of small-study effects in the relationship between elevated De Ritis ratio and poor prognosis (p = 0.488). Deek's funnel plot asymmetry test was non-significant (p = 0.81).

Discussion

Early identification of patients at risk for developing severe COVID-19 is crucial during the pandemic. Previous studies highlighted that individuals with advanced age, high body mass index, and physical inactivity had greater morbidity and mortality from COVID-19, along with the presence of various comorbidities, such as cardiovascular disease, diabetes, chronic obstructive pulmonary disease, hypertension, and chronic kidney disease (2331). Several inflammatory parameters, comprising C-reactive protein, D-dimer, procalcitonin, interleukin-6, and ferritin, are often higher in patients with severe and critically ill with COVID-19 (8). An increase in liver-related biomarkers, particularly AST, ALT, total bilirubin concentrations, and gamma-glutamyl transferase in patients with COVID-19 have been reported (32, 33).

Although hepatic damage is not commonly seen as a major characteristic of COVID-19, liver injury is an emerging concern because it may indicate a severe disease course (2). The mechanism for liver involvement in COVID-19 remains obscure. Previous liver pathology reports showed the presence of moderate microvesicular steatosis along with mild inflammation in several areas (34). These patterns are also observed in drug-induced liver injury and sepsis, although these findings are not unique, they might provide insight into the mechanism involved in liver injury induced by COVID-19 (35). The SARS-CoV-2 may invade the liver directly through the angiotensin receptor enzyme 2 (ACE2) receptor, which serves as the novel coronavirus' entry point. It has been found that bile duct epithelial cells (cholangiocytes) express a high amount of ACE2 receptors (36). Liver dysfunction may also be caused by drug-induced liver injury or an overactive inflammatory response, including cytokine storm and pneumonia-associated hypoxia (2, 7). Antivirals used in the treatment of COVID-19 are postulated to cause drug-induced liver injury (37).

Serum concentrations of ALT and AST, without exception, are the most frequently ordered liver panel for evaluating liver injury in all laboratories. ALT is present in the cytosol of hepatocytes, while AST is present in the cytoplasm and mitochondria of the hepatocyte (38). ALT activity in the liver is ~10-fold higher than that of the heart and skeletal muscles, which emphasizes its function to indicate parenchymal liver disease or injury. Meanwhile, AST has the greatest activity in the liver, cardiac, and skeletal muscle, but also exhibits in other tissues including kidneys, pulmonary, brain, pancreas, red blood cells, and white blood cells. Therefore, ALT is a more specific biomarker for liver damage compared to AST, indicating liver-biliary disease, myocardial injury, and rhabdomyolysis (7, 15). AST and ALT are found in the liver with a 2.5:1 ratio but with different turnaround time, resulting in a relatively similar level of serum of AST and ALT in healthy populations (38).

The De Ritis ratio or the AST/ALT ratio is a promising biochemical parameter for prognostication in COVID-19. In the present study, elevated De Ritis ratio was associated with 3-fold increased risk for poor prognosis in patients with COVID-19. Although the cut-off values for elevated De Ritis ratio are different from these five studies (Table 1), the result of this meta-analysis has low heterogeneity (I2: 35.8%). Nonetheless, the difference in the cut-off value used between those studies caused a highly varied diagnostic value (Figure 3) with an overall sensitivity of 55%, specificity of 71%, and AUC of 0.67. These variations further translate into the uncertainty of the optimal cut-off value for De Ritis Ratio as a prognostic factor in COVID-19 and merit further investigations.

Interestingly, Qin et al. indicated that De Ritis ratio of ≥1.38 was independently associated with poor prognosis irrespective of AST elevation (≤40 and >40 U/L) (16). They showed that AST/ALT ratio elevation was associated with a more severely computed tomography scan findings, higher severity, and positive linear association with other prognostic markers (e.g., c-reactive protein, procalcitonin, interleukin-6, D-Dimer, lactate, LDH, and creatine Kinase-MB). Additionally, Chen et al. showed the association of AST/ALT ratio with liver injury and severity of COVID-19. However, the number of outcomes or risk estimates (e.g., OR) of this study interest was not available (18).

There were two studies on the association of De Ritis ratio with other specific biochemical parameters (e.g., creatinine kinase and serum ALT), but were excluded from the analysis due to its irrelevance with our outcome of interest (15, 39).

The limitations of the current study were primarily caused by the small quantity of the included studies. Moreover, the retrospective-observational nature and the small sample size of the included studies should be taken into account in extrapolating the results of this meta-analysis, where selection bias and confounding factors may be evident. We also could not dismiss the possibility of publication bias due to the small number of studies. Despite our limitations, this meta-analysis has brought early evidence of using the De Ritis ratio for prognostication in COVID-19.

Implication for Clinical Practice

Although this “traditional” ratio was initially found in 1957 as a diagnostic test for viral hepatitis (40), it is still commonly used and proves to be a valuable indicator of liver disease (38). It is a promising, straightforward, and readily available parameter for poor prognosis in COVID-19. This meta-analysis showed that AST, but not ALT, was significantly associated with poor prognosis in COVID-19. This supports the use of De Ritis ratio in addition to AST and ALT levels. However, we suggest, including this parameter and other accessible hematological markers, to improve the prognostic performance of the model for COVID-19. De Ritis ratio would be better for this marker to be a part of a prognostic model rather than a stand-alone examination. A predictive model comprising of readily available tools may be of value, especially in rural areas where sophisticated prognostic biomarkers are often not available.

In conclusion, elevated De Ritis ratio is associated with poor prognosis in patients with COVID-19.

Data Availability Statement

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

Author Contributions

RP: conceptualization, methodology, formal analysis, investigation, and writing—original draft. IH: data curation, investigation, writing—original draft, and project administration. ML: data curation, investigation, and writing—original draft. EY and RV: investigation and writing—original draft. AL, SN, BS, and RK: investigation and writing—review and editing. All authors contributed to the article and approved the submitted version.

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.

Abbreviations

ACE2, Angiotensin receptor enzyme 2; AST, Aspartate aminotransferase; ALT, Alanine aminotransferase; AUC, Area under curve; COVID-19, Coronavirus disease 2019; DOR, Diagnostic odds ratio; OR, Odds ratio; PLR, Positive likelihood ratio; NLR, Negative likelihood ratio; SARS-CoV-2, Severe cute respiratory syndrome coronavirus 2.

References

1. Livingston E, Bucher K, Rekito A. Coronavirus Disease 2019 and Influenza 2019-2020. JAMA. (2020) 323:1122. doi: 10.1001/jama.2020.2633

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Lim MA, Pranata R, Huang I, Yonas E, Soeroto AY, Supriyadi R. multiorgan failure with emphasis on acute kidney injury and severity of COVID-19: systematic review and meta-analysis. Can J Kidney Heal Dis. (2020) 7:2054358120938573. doi: 10.1177/2054358120938573

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Wijaya I, Andhika R, Huang I. The use of therapeutic-dose anticoagulation and its effect on mortality in patients with COVID-19: a systematic review. Clin Appl Thromb. (2020) 26:1076029620960797. doi: 10.1177/1076029620960797

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Vaira LA, Deiana G, Fois AG, Pirina P, Madeddu G, De Vito A, et al. Objective evaluation of anosmia and ageusia in COVID-19 patients: single-center experience on 72 cases. Head Neck. (2020) 42:1252–8. doi: 10.1002/hed.26204

PubMed Abstract | CrossRef Full Text | Google Scholar

5. De Vito A, Geremia N, Fiore V, Princic E, Babudieri S, Madeddu G. Clinical features, laboratory findings and predictors of death in hospitalized patients with COVID-19 in Sardinia, Italy. Eur Rev Med Pharmacol Sci. (2020) 24:7861–8. doi: 10.26355/eurrev_202007_22291

PubMed Abstract | CrossRef Full Text | Google Scholar

6. De Vito A, Fiore V, Princic E, Geremia N, Napodano CMP, Muredda AA, et al. Predictors of infection, symptoms development, and mortality in people with SARS-CoV-2 living in retirement nursing homes. PLoS ONE. (2021) 16:e0248009. doi: 10.1371/journal.pone.0248009

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Zinellu A, Arru F, De Vito A, Sassu A, Valdes G, Scano V, et al. The De Ritis ratio as prognostic biomarker of in-hospital mortality in COVID-19 patients. Eur J Clin Invest. (2021) 51:1–8. doi: 10.1111/eci.13427

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Huang I, Pranata R, Lim MA, Oehadian A, Alisjahbana B. C-reactive protein, procalcitonin, D-dimer, and ferritin in severe coronavirus disease-2019: a meta-analysis. Ther Adv Respir Dis. (2020) 14:175346662093717. doi: 10.1177/1753466620937175

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Wibowo A, Pranata R, Lim MA, Akbar MR, Martha JW. Endotheliopathy marked by high von Willebrand Factor (vWF) antigen in COVID-19 is associated with poor outcome: a systematic review and meta-analysis. Int J Infect Dis. (2021). doi: 10.1016/j.ijid.2021.06.051

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Wibowo A, Pranata R, Astuti A, Tiksnadi BB, Martanto E, Martha JW, et al. Left and right ventricular longitudinal strains are associated with poor outcome in COVID-19: a systematic review and meta-analysis. J Intensive Care. (2021) 9:9. doi: 10.1186/s40560-020-00519-3

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Martha JW, Pranata R, Wibowo A, Lim MA. Tricuspid annular plane systolic excursion (TAPSE) measured by echocardiography and mortality in COVID-19: a systematic review and meta-analysis. Int J Infect Dis. (2021) 105:351–6. doi: 10.1016/j.ijid.2021.02.029

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Wibowo A, Pranata R, Akbar MR, Purnomowati A, Martha JW. Prognostic performance of troponin in COVID-19: a diagnostic meta-analysis and meta-regression. Int J Infect Dis. (2021) 105:312–8. doi: 10.1016/j.ijid.2021.02.113

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Kukla M, Skonieczna-Zydecka K, Kotfis K, Maciejewska D, Łoniewski I, Lara LF, et al. COVID-19, MERS and SARS with concomitant liver injury—systematic review of the existing literature. J Clin Med. (2020) 9:1420. doi: 10.3390/jcm9051420

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Pranata R, Yonas E, Huang I, Lim MA, Nasution SA, Kuswardhani RAT. Fibrosis-4 index and mortality in coronavirus disease 2019. Eur J Gastroenterol Hepatol. (2021). doi: 10.1097/MEG.0000000000002091

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Yazar H, Kayacan Y, Ozdin M. De Ritis ratio and biochemical parameters in COVID-19 patients. Arch Physiol Biochem. (2020) 1–5. doi: 10.1080/13813455.2020.1788604

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Qin C, Wei Y, Lyu X, Zhao B, Feng Y, Li T, et al. High aspartate aminotransferase to alanine aminotransferase ratio on admission as risk factor for poor prognosis in COVID-19 patients. Sci Rep. (2020) 10:16496. doi: 10.1038/s41598-020-73575-2

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Medetalibeyoglu A, Catma Y, Senkal N, Ormeci A, Cavus B, Kose M, et al. The effect of liver test abnormalities on the prognosis of COVID-19. Ann Hepatol. (2020) 19:614–21. doi: 10.1016/j.aohep.2020.08.068

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Chen F, Chen W, Chen J, Xu D, Xie W, Wang X, et al. Clinical features and risk factors of COVID-19-associated liver injury and function: a retrospective analysis of 830 cases. Ann Hepatol. (2021) 21:100267. doi: 10.1016/j.aohep.2020.09.011

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Paliogiannis P, Zinellu A, Scano V, Mulas G, de Riu G, Pascale RM, et al. Laboratory test alterations in patients with COVID-19 and non COVID-19 interstitial pneumonia: a preliminary report. J Infect Dev Ctries. (2020) 14:685–90. doi: 10.3855/jidc.12879

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Benedé-Ubieto R, Estévez-Vázquez O, Flores-Perojo V, et al. Abnormal liver function test in patients infected with coronavirus (SARS-CoV-2): a retrospective single-center study from Spain. J Clin Med. (2021) 10:1039. doi: 10.3390/jcm10051039

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Ramos-Lopez O, San-Cristobal R, Martinez-Urbistondo D, et al. Proinflammatory and hepatic features related to morbidity and fatal outcomes in COVID-19 patients. J Clin Med. (2021) 10:3112. doi: 10.3390/jcm10143112

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Yadlapati S. Prevailing patterns of liver enzymes in patients with COVID-19 infection and association with clinical outcomes. Ann Gastroenterol. (2021). doi: 10.20524/aog.2021.0573. [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Andhika R, Huang I, Wijaya I. Severity of COVID-19 in end-stage kidney disease patients on chronic dialysis. Ther Apher Dial. (2020) 25:706–9. doi: 10.1111/1744-9987.13597

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Huang I, Lim MA, Pranata R. Diabetes mellitus is associated with increased mortality and severity of disease in COVID-19 pneumonia – a systematic review, meta-analysis, and meta-regression: diabetes and COVID-19. Diabetes Metab Syndr Clin Res Rev. (2020) 14:395–403. doi: 10.1016/j.dsx.2020.04.018

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Pranata R, Lim MA, Huang I, Raharjo SB, Lukito AA. Hypertension is associated with increased mortality and severity of disease in COVID-19 pneumonia: a systematic review, meta-analysis and meta-regression. J Renin-Angiotensin-Aldosterone Syst. (2020) 21:147032032092689. doi: 10.1177/1470320320926899

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Pranata R, Huang I, Lim MA, Wahjoepramono EJ, July J. Impact of cerebrovascular and cardiovascular diseases on mortality and severity of COVID-19–systematic review, meta-analysis, and meta-regression. J Stroke Cerebrovasc Dis. (2020) 29:104949. doi: 10.1016/j.jstrokecerebrovasdis.2020.104949

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Pranata R, Soeroto AY, Huang I, Lim MA, Santoso P, Permana H, et al. Effect of chronic obstructive pulmonary disease and smoking on the outcome of COVID-19. Int J Tuberc Lung Dis. (2020) 24:838–43. doi: 10.5588/ijtld.20.0278

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Pranata R, Lim MA, Yonas E, Vania R, Lukito AA, Siswanto BB, et al. Body mass index and outcome in patients with COVID-19: a dose–response meta-analysis. Diabetes Metab. (2021) 47:101178. doi: 10.1016/j.diabet.2020.07.005

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Yonas E, Alwi I, Pranata R, Huang I, Lim MA, Gutierrez EJ, et al. Effect of heart failure on the outcome of COVID-19 — a meta analysis and systematic review. Am J Emerg Med. (2020) 46:204–11. doi: 10.1016/j.ajem.2020.07.009

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Pranata R, Supriyadi R, Huang I, Permana H, Lim MA, Yonas E, et al. The association between chronic kidney disease and new onset renal replacement therapy on the outcome of COVID-19 patients: a meta-analysis. Clin Med Insights Circ Respir Pulm Med. (2020) 14:1179548420959165. doi: 10.1177/1179548420959165

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Pranata R, Henrina J, Raffaello WM, Lawrensia S, Huang I. Diabetes and COVID-19: the past, the present, and the future. Metabolism. (2021) 121:154814. doi: 10.1016/j.metabol.2021.154814

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. (2020) 395:497–506. doi: 10.1016/S0140-6736(20)30183-5

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Paliogiannis P, Zinellu A. Bilirubin levels in patients with mild and severe Covid-19: a pooled analysis. Liver Int. (2020) 40:1787–8. doi: 10.1111/liv.14477

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Xu Z, Shi L, Wang Y, Zhang J, Huang L, Zhang C, et al. Pathological findings of COVID-19 associated with acute respiratory distress syndrome. Lancet Respir Med. (2020) 8:420–2. doi: 10.1016/S2213-2600(20)30076-X

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Alqahtani SA, Schattenberg JM. Liver injury in COVID-19: the current evidence. United Eur Gastroenterol J. (2020) 8:509–19. doi: 10.1177/2050640620924157

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Chai X, Hu L, Zhang Y, Han W, Lu Z, Ke A, et al. Specific ACE2 expression in cholangiocytes may cause liver damage after 2019-nCoV infection. bioRxiv. (2020). doi: 10.1101/2020.02.03.931766

CrossRef Full Text | Google Scholar

37. Ma C, Cong Y, Zhang H. COVID-19 and the digestive system. Am J Gastroenterol. (2020) 115:1003–6. doi: 10.14309/ajg.0000000000000691

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Botros M, Sikaris KA. The de ritis ratio: the test of time. Clin Biochem Rev. (2013) 34:117–30.

PubMed Abstract | Google Scholar

39. Safari R, Gholizadeh P, Marofi P, Zeinalzadeh E, Pagliano P, Ganbarov K, et al. Alteration of liver biomarkers in patients with SARS-CoV-2 (COVID-19). J Inflamm Res. (2020) 13:285–92. doi: 10.2147/JIR.S257078

PubMed Abstract | CrossRef Full Text | Google Scholar

40. De Ritis F, Coltorti M, Giusti G. An enzymic test for the diagnosis of viral hepatitis: the transaminase serum activities. Clin Chim Acta. (1957) 2:70–4. doi: 10.1016/0009-8981(57)90027-X

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: coronavirus—COVID-19, liver enzyme, transaminase, SARS-CoV-2, De Ritis ratio

Citation: Pranata R, Huang I, Lim MA, Yonas E, Vania R, Lukito AA, Nasution SA, Siswanto BB and Kuswardhani RAT (2021) Elevated De Ritis Ratio Is Associated With Poor Prognosis in COVID-19: A Systematic Review and Meta-Analysis. Front. Med. 8:676581. doi: 10.3389/fmed.2021.676581

Received: 05 March 2021; Accepted: 22 November 2021;
Published: 22 December 2021.

Edited by:

Hu Zhang, Sichuan University, China

Reviewed by:

Alejandro Piscoya, Saint Ignatius of Loyola University, Peru
Giordano Madeddu, University of Sassari, Italy

Copyright © 2021 Pranata, Huang, Lim, Yonas, Vania, Lukito, Nasution, Siswanto and Kuswardhani. 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: Raymond Pranata, raymond_pranata@hotmail.com

ORCID: Raymond Pranata orcid.org/0000-0003-3998-6551
Ian Huang orcid.org/0000-0003-1189-8453
Michael Anthonius Lim orcid.org/0000-0001-7631-6835
Emir Yonas orcid.org/0000-0002-8604-405X
Sally Aman Nasution orcid.org/0000-0002-0173-049X
Bambang Budi Siswanto orcid.org/0000-0003-3998-1590

Download