Lactate dehydrogenase levels predict coronavirus disease 2019 (COVID-19) severity and mortality: A pooled analysis

a b s t r a c t

Coronavirus disease 2019 (COVID-19) infection has now reached a pandemic state, affecting more than a million patients worldwide. Predictors of disease outcomes in these patients need to be urgently assessed to decrease morbidity and societal burden. Lactate dehydrogenase has been associated with worse outcomes in pa- tients with viral infections. In this Pooled analysis of 9 published studies (n = 1532 COVID-19 patients), we eval- uated the association between elevated LDH levels measured at earliest time point in hospitalization and disease outcomes in patients with COVID-19. Elevated LDH levels were associated with a ~6-fold increase in odds of de- veloping severe disease and a ~16-fold increase in odds of mortality in patients with COVID-19. Larger studies are needed to confirm these findings.

(C) 2020

  1. Introduction

The current pandemic of coronavirus disease 2019 (COVID-19) originally emerged from China, but has since then infected N1 million patients worldwide, with over 400,000 cases in the US alone [1]. This condition is associated with high morbidity, leading to significant strain on healthcare infrastructure and resources. The associated fa- tality rate is also higher than other Respiratory viral infections. Hence, it is necessary to urgently identify reliable predictors of dis- ease severity and mortality for careful allocation of healthcare re- sources and to enable earlier clinical intervention and monitoring to improve clinical outcomes.

Various biomarkers are currently under investigation for their role in determination of prognosis in patients with COVID-19. Lactate dehydro- genase (LDH) is one such biomarker of interest, especially since ele- vated LDH levels have been associated with worse outcomes in patients with other viral infections in the past [2-4]. Early data in COVID-19 patients has suggested significant differences in LDH levels between patients and without severe disease [5]. Hence, we performed

* Corresponding author at: Cardiac Intensive Care Unit, The Heart Institute, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA.

E-mail address: [email protected] (B.M. Henry).

a pooled analysis of the published literature to explore the possible as- sociation between increased LDH values and odds of disease severity and mortality in COVID-19 patients.

  1. Methods
    1. Search design

A comprehensive search of literature on online databases Medline (PubMed interface), Web of Science, EMBASE and Scopus, using no language restriction, was conducted with the search terms “lactate dehydrogenase” OR “LDH” AND “COVID-19” OR “coro- navirus 2019” OR “SARS-CoV-2” until April 3, 2020. References of all identified studies were investigated to determine other eligible studies. The reporting of this study was performed in compliance with the PRISMA guidelines (Preferred reporting items for system- atic reviews and meta-analyses). The PRISMA Checklist is shown in Supplement 1.

Selection and data collection

All resulting documents were assessed by title, abstract, and full text for observational studies reporting frequency data on LDH values at

0735-6757/(C) 2020

admission or earliest time point in hospitalization in COVID-19 patients with or without severe disease or in non-survivors and survivors by two independent reviewers. “Severe disease” was clinically defined as patients requiring life support, meeting criteria for acute respira- tory distress syndrome (ARDS), need for mechanical ventilation, or intensive care unit admission. An acceptable study level definition of elevated LDH with an upper limit cut-off in the range of 240-255 U/L was required. Studies fitting the criteria were in- cluded in a pooled analysis. Studies with a higher than 255 U/L cut- off for abnormality were excluded to avoid biasing the analysis via threshold effect. Additional data was sought from study authors when appropriate.

Statistical analysis

Pooled analysis was performed with MetaXL, software version 5.3 (EpiGear International Pty Ltd., Sunrise Beach, Australia), using an ran- dom effects model to estimate the odds ratio (OR) and 95% confidence interval (95% CI) of elevated LDH levels in association with severe ver- sus non-severe COVID-19 and non-survival vs survival. A leave-one- out sensitivity analysis was performed to determine sources of hetero- geneity amongst studies. We also performed a Meta-regression analysis to assess the impact of age on association of elevated LDH levels with

disease severity and mortality. When unavailable, mean and standard deviation of LDH levels were extrapolated from sample size, median and interquartile range (IQR), according to Hozo et al. [6]. Publication bias analysis was performed using funnel plot analysis. The study was carried out in accordance with the declaration of Helsinki and with the terms of local legislation.

  1. Results
    1. Study identification and characteristics of studies

A total of 289 studies were initially found, out of which 208 were ex- cluded due to repetition. Another 63 were removed as they did not re- port LDH values. 18 studies were left, out of which 9 were removed because they were review articles or editorials. Nine studies (four Case-control studies and five retrospective cohort studies) with 1532 patients, were finally used in the pooled analysis [7-15]. One study by Wu et al. reported cohorts of both severity and mortality [13]. All studies were from China and all reported LDH values were measured at time of admission or earliest time point after hospitalization. The PRISMA flow diagram is demonstrated in Fig. 1. The characteristics of included studies are presented in Table 1. Five studies did not report LDH values for all included patients; the study level samples used are presented in Table 1.

Fig. 1. PRISMA Flow diagram.

Table 1

Characteristics of included studies.

Study Setting Sample size Outcomes severe patients Non-severe patients

n (%)

Age (yrs)?

Elevated LDH (%)

n (%)

Age (yrs)?

Elevated LDH (%)

Guan W et al. 2020



Admission to ICU, MV

44 (6.5%)

63 (53-71)

31 (70.5%)

631 (93.5%)

46 (35-57)

246 (39.0%)

Huang C et al. 2020



ICU care

13 (32.5%)

49 (41-61)

12 (92.3%)

27 (67.5)

49 (41-58)

17 (63.0%)

Liu Y et al. 2020



Respiratory Failure, MV

6 (50.0%)

64 (63-65)

5 (83.3%)

6 (50.0%)

44 (35-55)

6 (100.0%)

Ruan Q et al. 2020




60 (42.3%)

67 (15-81)

57 (95.0%)

82 (57.7%)

50 (44-81)

48 (58.5%)

Wan S et al. 2020



Respiratory Distress, Admission to ICU

40 (29.6%)

56 (52-73)

30 (75.0%)

95 (70.4%)

44 (33-49)

28 (29.5%)

Wang Z et al. 2020



SpO2 b 90%

12 (19.7%)

70.5 (62-77)

10 (83.3%)

49 (80.3%)

37 (32-51)

15 (30.6%)

Wu C et al. 2020



Admission to ICU

48 (25.5%)


46 (95.8%)

140 (74.5%)

46.97 +- 11.2

80 (57.1%)

Wu C et al. 2020




43 (22.9%)


41 (95.3%)

145 (77.1%)

46.97 +- 11.2

85 (58.6%)

Zhang G et al. 2020



Admission to ICU, MV

25 (26.3%)

52 (38-63)

25 (100.0%)

70 (73.7%)

49 (41-56)

49 (70.0%)

Zhou F et al. 2020




54 (29.3%)

69 (63-76)

53 (98.1%)

130 (70.7%)

52 (45-58)

70 (53.8%)

* Age data presented as median (IQR) or mean (SD). MV — Mechanical Ventilation, ICU — Intensive Care Unit, NR — Not reported.

Pooled analysis of disease severity

Seven studies compared elevated LDH values in severe vs. non- severe cases in a total of 1206 patients, 188 (15.6%) of whom had severe disease outcome [7-9,11-14]. A total of 600 patients (49.8%) presented with elevated LDH values, with 159 severe patients (84.6%) having ele- vated LDH vs 441 patients (43.3%) in non-severe group. The LDH cutoff in the included studies ranged from 240 to 253.2 U/L. Findings of our pooled analysis are shown in Fig. 2. Elevated LDH values were found to be associated with an increased odds of severe COVID-19 outcome in all but 2 individual studies [8,9]. Pooled analysis showed about

~6.5-fold increase in odds of developing severe COVID-19 disease (OR: 6.53 [95% CI: 3.47-12.28], I2 = 31%, Cochran’s Q, p = 0.19). A leave-

one-out sensitivity study did not find any significant differences in asso- ciation, however, analysis with exclusion of Guan et al. showed a sub- stantially reduced heterogeneity (OR: 8.54 [95% CI: 4.33-16.87], I2 = 9.3%, p = 0.36). LDH was associated with significantly increased odds of severe COVID-19 in both case-control studies (OR: 7.76 [95% CI: 3.64-16.53], I2 = 0%, Cochran’s Q, p = 0.75) and retrospective cohort studies (OR: 5.77 [95% CI: 1.82-18.29], I2 = 59%, Cochran’s Q, p =

0.06). The results of meta-regression analysis demonstrated no impact of age on the association of elevated LDH levels and disease severity in patients with COVID-19 (correlation coefficient – 0.0027, [95% CI

-0.12-0.11], p = 0.96, Fig. 3). Funnel plot analysis indicate some asym-

metry amongst studies suggestive of publication bias, however, limited studies exclude firm conclusions (Fig. 4).

Pooled analysis of mortality

Three studies compared elevated LDH values with survival and non- survival in 514 patients, 157 (30.5%) of whom were non-survivors [10,13,15]. A total of 354 patients (68.9%) had elevated LDH values, of which 151 non-survivors (96.2%) had elevated LDH vs. 203 patients (56.9%) in the survivor group. The LDH cutoff in the included studies ranged from 245 to 253.2 U/L. Elevated LDH value was also found to be associated with significantly increased odds of mortality, displaying over 16-fold increased odds compared to patients with LDH below the cutoff value (OR: 16.64 [95% CI: 7.07-39.13], I2 = 0%, Cochran’s Q, p = 0.67) (Fig. 2). Sensitivity analysis noted no difference amongst stud- ies. Limited number of studies prevented a meta-regression analysis.

Image of Fig. 2

Fig. 2. Forest plots demonstrating association of elevated lactate dehydrogenase levels with disease severity (panel A) and mortality (panel B) in patients with coronavirus disease 2019 infection.

Image of Fig. 3

Fig. 3. Meta-regression plot showing no impact of age on association of elevated LDH levels and Severity of disease in patients with COVID-19 infection.

  1. Discussion

The results of our pooled analysis demonstrate an association be- tween elevated LDH values and worse outcomes in patients with COVID-19. Specifically, there was a N6-fold increase in odds of severe disease and a N16-fold increase in odds of mortality in patients with el- evated LDH. Furthermore, in all the three studies reporting mortality as an outcome, elevated LDH levels were found in N95% of non-survivors compared to b60% of survivors.

LDH is an intracellular enzyme found in cells in almost all organ sys- tems, which catalyzes the interconversion of pyruvate and lactate, with concomitant interconversion of NADH and NAD+ [16]. The enzyme is composed by two major subunits (i.e., A and B), and is present in humans in five separate isozymes (LDH-1 in cardiomyocytes, LDH-2 in reticuloendothelial system, LDH-3 in pneumocytes, LDH-4 in kidneys and pancreas, and LDH-5 in liver and striated muscle). Although LDH has been traditionally used as a marker of cardiac damAge SInce the 1960s, abnormal values can result from multiple organ injury and de- creased oxygenation with upregulation of the glycolytic pathway. The acidic extracellular pH due to increased lactate from infection and tissue injury triggers the activation of metalloproteases and enhances macro- phage mediated angiogenesis [17].

severe infections may cause cytokine-mediated tissue damage and LDH release [17]. Since LDH is present in lung tissue (isozyme 3), pa- tients with severe COVID-19 infections can be expected to release greater amounts of LDH in the circulation, as a Severe form of interstitial

pneumonia, often evolving into acute respiratory distress syndrome, is the hallmark of the disease. However, the contribution of the different LDH isoenzymes to the LDH elevation observed in COVID-19 has not been determined. Additionally, LDH levels are elevated in thrombotic microangiopathy, which is associated with renal failure and myocardial injury [18-20]. Elevated D-dimer levels and thrombocytopenia in pa- tients with severe COVID-19 have also been reported, which suggests a Hypercoagulable state may be contributing to severity of illness and mortality [21,22].

Multiple studies have found LDH to be a predictor of worse outcomes in hospitalized patients [2,23]. Many of the prognosticators and thera- pies currently being studied for COVID-19 are based on experience with the previous coronavirus outbreak, Severe Acute Respiratory Syn- drome (SARS), or with other viral Respiratory infections. LDH levels were also found to be elevated in patients with Middle East respiratory syndrome \(MERS\) [24]. Elevated LDH levels seem to reflect that the mul- tiple organ injury and failure may play a more prominent role in this pa- thology in influencing the clinical outcomes in patients with COVID-19. Our study has some limitations, such as the small number of studies with limited sample sizes. There was heterogeneity in the LDH data, likely due to the poor standardization of analytical methods and poor description in “Material and Methods” section of the analytical perfor- mances, including different methods of measurement. To account for heterogeneity amongst studies, we performed sensitivity analysis. We also performed funnel plot analysis to assess for publication bias. Finally, all the studies were from China and hence the findings may not be

Image of Fig. 4

Fig. 4. Funnel plot demonstrating publication bias for studies evaluating association of elevated LDH levels and severity of disease in patients with COVID-19 infection.

applicable to other populations. Larger studies from other countries are needed to confirm our findings. In the meantime, we suggest that LDH level may be used as an important tool in determining prognosis in pa- tients with COVID-19. Since LDH measurement is based on a colorimet- ric method, quick processing of multiple samples can be done using computer automation which may help in quick triage of COVID-19 pa- tients [25].

  1. Conclusion

In our pooled analysis, elevated LDH values were associated with 6- fold increased odds of severe COVID-19 disease. More importantly, ele- vated LDH was associated with a N16-fold increase in odds of mortality. As such, patients’ LDH should be closely monitored for any of signs of Disease progression or decompensation. Since the LDH levels used in the study were at admission or earliest time during hospitalization, ad- mission LDH levels could be considered for inclusion in future risk strat- ification models for COVID-19 severity and mortality. Larger studies are needed to confirm these findings.

Supplementary data to this article can be found online at https://doi. org/10.1016/j.ajem.2020.05.073.

CRediT authorship contribution statement Brandon Michael Henry: Conceptualization, Methodology, Investi-

gation, Writing – review & editing, Supervision. Gaurav Aggarwal:

Writing – original draft, Investigation, Data curation. Johnny Wong: Methodology, Software. Stefanie Benoit: Conceptualization, Writing – review & editing. Jens Vikse: Conceptualization, Writing – review & editing. Mario Plebani: Conceptualization, Writing – review & editing. Giuseppe Lippi: Conceptualization, Writing – review & editing.








  1. World Health Organization. Coronavirus disease 2019 (COVID-19) pandemic.; 2020.

[Accessed 12 April 2020].

  1. Chen CY, Lee CH, Liu CY, Wang JH, Wang LM, Perng RP. Clinical features and out- comes of severe acute respiratory syndrome and predictive factors for acute respira- tory distress syndrome. J Chin Med Assoc. 2005;68(1):4-10.
  2. Chiang CH, Shih JF, Su WJ, Perng RP. Eight-month prospective study of 14 patients with hospital-acquired severe acute respiratory syndrome. Mayo Clin Proc. 2004; 79(11):1372-9.
  3. Tao RJ, Luo XL, Xu W, et al. Viral infection in community acquired pneumonia pa- tients with fever: a prospective observational study. J Thorac Dis. 2018;10(7): 4387-95.
  4. Henry B, De Olivera MHS, S. B, M. P, G. L Hematologic, biochemical and immune marker abnormalities associated with severe illness and mortality in coronavirus disease 2019 (COVID 19): a meta-analysis. Clin Chem Lab Med. 2020.
  5. Hozo SP, Djulbegovic B, Hozo I. Estimating the mean and variance from the median, range, and the size of a sample. BMC Med Res Methodol. 2005;5:13.
  6. Guan WJ, Ni ZY, Hu Y, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020;382:1708-20.
  7. Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395(10223):497-506.
  8. Liu Y, Yang Y, Zhang C, et al. Clinical and biochemical indexes from 2019-nCoV in- fected patients linked to viral loads and lung injury. Sci China Life Sci. 2020;63(3): 364-74.
  9. Ruan Q, Yang K, Wang W, Jiang L, Song J. Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China. Intensive Care Med. May 2020;46(5):846-8.
  10. Wan S, Xiang Y, Fang W, et al. Clinical features and treatment of COVID-19 patients in Northeast Chongqing. J Med Virol. 2020. [Epub ahead of print March 21, 2020].
  11. Wang Z, Yang B, Li Q, Wen L, Zhang R. Clinical features of 69 cases with coronavirus disease 2019 in Wuhan, China. Clin Infect Dis. 2020:ciaa272. 1093/cid/ciaa272.
  12. Wu C, Hu X, Song J, et al. Heart injury signs are associated with higher and ear- lier mortality in coronavirus disease 2019 (COVID-19) medRxiv ; 2020 2020.2002.2026.20028589.
  13. Zhang G, Zhang J, Wang B, Zhu X, Wang Q, Qiu S. Analysis of clinical characteristics and laboratory findings of 95 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a retrospective analysis. Respir Res. 2020;21(1):74.
  14. Zhou F, Yu T, Du R, et al. Clinical course and risk factors for mortality of adult inpa- tients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020; 395(10229):1054-62.
  15. Hsu PP, Sabatini DM. Cancer cell metabolism: Warburg and beyond. Cell. 2008;134 (5):703-7.
  16. Martinez-Outschoorn UE, Prisco M, Ertel A, et al. Ketones and lactate increase cancer cell “stemness,” driving recurrence, metastasis and poor clinical outcome in breast cancer: achieving personalized medicine via metabolo-genomics. Cell Cycle. 2011; 10(8):1271-86.
  17. Kaplan B, Meier-Kriesche HU. Death after graft loss: an important late study end- point in kidney transplantation. Am J Transplant. 2002;2(10):970-4.
  18. Patschan D, Witzke O, Duhrsen U, Erbel R, Philipp T, Herget-Rosenthal S. Acute myo- cardial infarction in thrombotic microangiopathies — clinical characteristics, risk fac- tors and outcome. Nephrol Dial Transplant. 2006;21(6):1549-54.
  19. Zhang T, Chen H, Liang S, et al. A non-invasive laboratory panel as a diagnostic and Prognostic biomarker for thrombotic microangiopathy: development and applica- tion in a Chinese cohort study. PLoS One. 2014;9(11):e111992.
  20. Lippi G, Favaloro EJ. D-dimer is associated with severity of coronavirus disease 2019: a pooled analysis. Thromb Haemost. May 2020;120(5):876-8.
  21. Lippi G, Plebani M, Henry BM. Thrombocytopenia is associated with severe corona- virus disease 2019 (COVID-19) infections: a meta-analysis. Clin Chim Acta. 2020; 506:145-8.
  22. Erez A, Shental O, Tchebiner JZ, et al. Diagnostic and prognostic value of very high serum lactate dehydrogenase in admitted Medical patients. Isr Med Assoc J. 2014; 16(7):439-43.
  23. Assiri A, Al-Tawfiq JA, Al-Rabeeah AA, et al. Epidemiological, demographic, and clin- ical characteristics of 47 cases of Middle East respiratory syndrome coronavirus dis- ease from Saudi Arabia: a descriptive study. Lancet Infect Dis. 2013;13(9):752-61.
  24. Kjeld M. An automated colorimetric method for the estimation of lactate dehydroge- nase activity in serum. Scand J Clin Lab Invest. 1972;29(4):421-5.

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