Literature DB >> 33458822

Influence of COVID-19 in patients with concurrent tuberculosis coinfections.

Guoying Wang1, Linghao Cai1, Dandan Chen1, Tieshan Teng1, Qiming Li1, Longxiang Xie1.   

Abstract

Entities:  

Keywords:  SARS coronavirus; coronavirus; infection; virus classification

Mesh:

Year:  2021        PMID: 33458822      PMCID: PMC8013871          DOI: 10.1002/jmv.26801

Source DB:  PubMed          Journal:  J Med Virol        ISSN: 0146-6615            Impact factor:   2.327


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To the Editor, With great interest, we read the recent review and meta‐analyses written by Sarkar et al., which systematically assessed the consequence of COVID‐19 in patients with concurrent infections, including tuberculosis (TB), influenza, HIV, chronic hepatitis, and dengue. The authors concluded that TB patients show an increased risk of mortality during coinfection with severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), while there is no significant impact found in patients living with HIV and chronic hepatitis. Although we appreciate the authors who performed comprehensive data analysis, we believe that further discussion on these findings is warranted. First, the authors limited their search to PubMed, Medline, Embase, Google Scholar, and MedRxiv, but did not explore other international databases with broad subject areas, including Cochrane Library, ClinicalTrials.gov, and other large preprint platforms such as bioRxiv. The selection of a restricted subset of databases for performing the literature search may cause biased results. Second, in the meta‐analysis study about the influence of TB on mortality in COVID‐19 patients, we think Chen et al.'s study cannot be included in the pooled result because the number of death event (n = 1) in the TB group is not accurate and should be more. After carefully checking the original information, we found that among COVID‐19 patients (age ≥ 65 years) with concurrent TB coinfections, there was only one death event, but for patients (age < 65 years) with concurrent TB coinfections, the detailed death events were not shown. Hence, this study cannot be incorporated into the meta‐analyses. In addition, we found an error in the data of  Fig. 3, which needs to be corrected. In the Davies et al.'s study, the total number of patients in control group (COVID‐19 patients without TB) is 20180 rather than  20280. Therefore, we performed a meta‐analysis of three articles (including Davies et al., Du et al., and Therese et al. ) using R software and the revised results are shown in Figure 1. Mortality was evaluated in three articles with a total of 23,017 patients. Significantly, increased risk of mortality is observed in TB patients coinfected with COVID‐19 in comparison with the control group (risk ratio [RR] = 2.09; 95% confidence interval [CI], 1.75–2.51; I 2 = 0%) (Figure 1).
Figure 1

Meta‐analysis of the impact of tuberculosis on mortality in COVID‐19 patients. RR,risk ratio

Meta‐analysis of the impact of tuberculosis on mortality in COVID‐19 patients. RR,risk ratio Finally, studies had shown that the older COVID‐19 patients have greater initial comorbidities, more severe symptoms, and higher mortality rate as compared with younger patients. , Thus, the age should be taken into consideration to draw a firm conclusion. Therefore, it will better to perform a subgroup analysis in terms of age, based on the data of the studies included in the meta‐analysis. Moreover, HIV, chronic hepatitis, and influenza all belonged to the virus infection disease. We think readers will be interested in knowing the impact of virus infection on mortality in COVID‐19 patients. Hence, we calculated the merged RR of virus infection. No significant augmented risk is found to be associated with it (RR = 1.37; 95% CI, 0.66–2.84; I 2 = 98%) (Figure 2).
Figure 2

Meta‐analysis of the impact of virus infection, including HIV, chronic hepatitis, and influenza on mortality in COVID‐19 patients. RR,risk ratio

Meta‐analysis of the impact of virus infection, including HIV, chronic hepatitis, and influenza on mortality in COVID‐19 patients. RR,risk ratio Overall, the authors analyzed a valuable issue regarding the impact of COVID‐19 in patients with concurrent coinfections. However, extensive sample studies are still needed to further verify the results mentioned.

CONFLICT OF INTERESTS

The authors declare that there are no conflict of interests.

AUTHOR CONTRIBUTIONS

Tieshan Teng, Qiming Li, and Longxiang Xie conceived the study protocol. Guoying Wang, Linghao Cai, and Dandan Chen participated in the literature search and the data collection. Guoying Wang, Linghao Cai, Dandan Chen, Tieshan Teng, Qiming Li, and Longxiang Xie analyzed the data. Tieshan Teng, Qiming Li, and Longxiang Xie drafted the manuscript. Guoying Wang, Linghao Cai, and Dandan Chen revised the manuscript. All authors read and approved the final manuscript. Guoying Wang and Linghao Cai contributed equally to this study.
  1 in total

1.  Comparison Epidemiology between Tuberculosis and COVID-19 in East Java Province, Indonesia: An Analysis of Regional Surveillance Data in 2020.

Authors:  Budi Utomo; Chow Khuen Chan; Ni Made Mertaniasih; Soedarsono Soedarsono; Shifa Fauziyah; Teguh Hari Sucipto; Febriana Aquaresta; Dwinka Syafira Eljatin; I Made Dwi Mertha Adnyana
Journal:  Trop Med Infect Dis       Date:  2022-05-27
  1 in total

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