Skip to main content
Elsevier - PMC COVID-19 Collection logoLink to Elsevier - PMC COVID-19 Collection
letter
. 2020 Mar 4;505:190–191. doi: 10.1016/j.cca.2020.03.004

Procalcitonin in patients with severe coronavirus disease 2019 (COVID-19): A meta-analysis

Giuseppe Lippi a, Mario Plebani b,
PMCID: PMC7094472  PMID: 32145275

Coronavirus disease 2019 (COVID-19), a new form of respiratory and systemic disorder sustained by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is now producing an outbreak of pandemic proportions, whereby nearly 110,000 people have already been infected around the world, 10–15% of whom with severe disease and over 3800 already died [1]. A severe form of pneumonia, potentially evolving towards adult respiratory distress syndrome (ARDS) and occasionally associated with multiorgan failure, are the leading complications of this respiratory virus [2]. Since laboratory medicine provides an essential contribution to the clinical decision making in this and many other infectious diseases [3], we aim to investigate here whether procalcitonin, whose values are not substantially modified in patients with viral infections [4], may play a role in distinguishing patients with or without severe COVID-19.

We carried out an electronic search in Medline (PubMed interface), Scopus and Web of Science, using the keywords “procalcitonin” AND “2019 novel coronavirus” OR “2019-nCoV” OR “COVID-19” without date (i.e., up to March 3, 2020) and language restrictions. The title, abstract and full text of all documents identified according to these search criteria were scrutinized by the authors, and those reporting data in COVID-19 patients with or without severe disease (defined as needing admission to intensive care unit or use of mechanical ventilation), were finally included in our meta-analysis. The reference list of each article was reviewed (forward and backward citation tracking) for identifying other potentially eligible documents. A meta-analysis was then carried out for calculating the individual and pooled odds ratios (OR) with their relative 95% confidence interval (95% CI), using MetaXL software Version 5.3 (EpiGear International Pty Ltd., Sunrise Beach, Australia). Procalcitonin values were entered as dichotomous variable, i.e., below or above the locally defined reference range (typically ≥ 0.50 ng/mL). Since the heterogeneity (I2 statistics) did not exceed 50%, a fixed effects model was finally used.

Overall, 27 articles could be originally identified using our search criteria, 24 of which were excluded after title, abstract or full text reading, because they did not report procalcitonin values in patients with or without severe COVID-19. An additional document could be identified from the reference list of one of selected articles. Overall, 4 studies were finally included in our meta-analysis [5], [6], [7], [8]. The pooled OR of these studies is summarized in Fig. 1 , which shows that increased procalcitonin values are associated with a nearly 5-fold higher risk of severe SARS-CoV-2 infection (OR, 4.76; 95% CI, 2.74–8.29). The heterogeneity among the different studies was found to be modest (i.e., 34%) [9].

Fig. 1.

Fig. 1

Odds ratio (OR) and 95% confidence interval (95% CI) of procalcitonin values above the normal reference range for predicting severe coronavirus disease 2019 (COVID-19).

Although the overall number of COVID-19 patients with increased procalcitonin values seems limited, as highlighted in a recent article [10], the results of this concise meta-analysis of the literature would suggest that serial procalcitonin measurement may play a role for predicting evolution towards a more severe form of disease. There is a plausible explanation for this evidence. The production and release into the circulation of procalcitonin from extrathyroidal sources is enormously amplified during bacterial infections, actively sustained by enhanced concentrations of interleukin (IL)-1β, tumor necrosis factor (TNF)-α and IL-6. Nevertheless, the synthesis of this biomarker is inhibited by interferon (INF)-γ, whose concentration increases during viral infections. It is hence not surprising that the procalcitonin value would remain within the reference range in several patients with non-complicated SARS-CoV-2 infection, whereby its substantial increase would reflect bacterial coinfection in those developing severe form of disease, thus contributing to complicate the clinical picture, as recently shown in children with viral lower respiratory tract infections [11]. Additional studies are compellingly needed to verify the putative bacterial origin of procalcitonin increase in patients with severe COVID-19.

References

  • 1.World Health Organization. Coronavirus disease 2019 (COVID-19) Situation Report – 49. Available at: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports/. Last accessed, March 9, 2020.
  • 2.Mattiuzzi C., Lippi G. Which lessons shall we learn from the 2019 novel coronavirus outbreak? Ann. Transl. Med. 2020;8:48. doi: 10.21037/atm.2020.02.06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Cervellin G., Schuetz P., Lippi G. Toward a holistic approach for diagnosing sepsis in the emergency department. Adv. Clin. Chem. 2019;92:201–216. doi: 10.1016/bs.acc.2019.04.004. [DOI] [PubMed] [Google Scholar]
  • 4.Schuetz P., Albrich W., Mueller B. Procalcitonin for diagnosis of infection and guide to antibiotic decisions: past, present and future. BMC Med. 2011;9:107. doi: 10.1186/1741-7015-9-107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Guan Wei-jie, Ni Zheng-yi, Hu Yu, Liang Wen-hua, Ou Chun-quan, He Jian-xing, Liu Lei, Shan Hong, Lei Chun-liang, Hui David S.C., Du Bin, Li Lan-juan, Zeng Guang, Yuen Kwok-Yung, Chen Ru-chong, Tang Chun-li, Wang Tao, Chen Ping-yan, Xiang Jie, Li Shi-yue, Wang Jin-lin, Liang Zi-jing, Peng Yi-xiang, Wei Li, Liu Yong, Hu Ya-hua, Peng Peng, Wang Jian-ming, Liu Ji-yang, Chen Zhong, Li Gang, Zheng Zhi-jian, Qiu Shao-qin, Luo Jie, Ye Chang-jiang, Zhu Shao-yong, Zhong Nan-shan. Clinical characteristics of coronavirus disease 2019 in China. N. Engl. J. Med. 2020 doi: 10.1056/NEJMoa2002032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Zhang J.J., Dong X., Cao Y.Y., Yuan Y.D., Yang Y.B., Yan Y.Q. Clinical characteristics of 140 patients infected by SARS-CoV-2 in Wuhan, China. Allergy. 2020 doi: 10.1111/all.14238. (Epub ahead of print) [DOI] [PubMed] [Google Scholar]
  • 7.Huang C., Wang Y., Li X., Ren L., Zhao J., Hu Y. 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. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Wang Dawei, Hu Bo, Hu Chang, Zhu Fangfang, Liu Xing, Zhang Jing, Wang Binbin, Xiang Hui, Cheng Zhenshun, Xiong Yong, Zhao Yan, Li Yirong, Wang Xinghuan, Peng Zhiyong. Clinical Characteristics of 138 hospitalized patients with 2019 novel coronavirus–infected pneumonia in Wuhan, China. JAMA. 2020 doi: 10.1001/jama.2020.1585. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Higgins J.P., Thompson S.G., Deeks J.J., Altman D.G. Measuring inconsistency in meta-analyses. BMJ. 2003;327:557–560. doi: 10.1136/bmj.327.7414.557. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Lippi Giuseppe, Plebani Mario. Laboratory abnormalities in patients with COVID-2019 infection. Clin. Chem. Lab. Med. 2020 doi: 10.1515/cclm-2020-0198. [DOI] [PubMed] [Google Scholar]
  • 11.Kotula J.J., 3rd, Moore W.S., 2nd, Chopra A., Cies J.J. Association of procalcitonin value and bacterial coinfections in pediatric patients with viral lower respiratory tract infections admitted to the pediatric intensive care unit. J. Pediatr. Pharmacol. Ther. 2018;23:466–472. doi: 10.5863/1551-6776-23.6.466. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Clinica Chimica Acta; International Journal of Clinical Chemistry are provided here courtesy of Elsevier

RESOURCES