Prior COVID-19 infection among newly diagnosed tuberculosis patients in a tertiary care center in Tehran: A case-control study.

OBJECTIVE: To assess the risk of developing pulmonary tuberculosis (TB) in accordance with prior history of COVID-19 infection. BACKGROUND: Since the advent of the COVID-19 pandemic much discussion has been had on the possible role it might play on global efforts to combat TB; most, focusing on the pandemic's impact on health care systems' capabilities to manage TB cases. Mechanisms have also been proposed by which the COVID-19 infection may directly affect individuals' chance of developing TB infection. Cases have been reported with a history of COVID-19 infection preceding a diagnosis of TB, evidencing its possible role as a risk factor for the disease. METHODS: A case-control study was conducted enrolling patients diagnosed with pulmonary TB in the absence of major risk factors previous history of TB, (HIV) human immunodeficiency virus infection), end-stage renal disease, organ transplants, and use of immunosuppressive agents) for developing TB. Each patient was age and sex matched with one healthy control. Data regarding prior COVID-19 infection, diabetes, and smoking status as well as the use of corticosteroids and Tocilizumab for the treatment of COVID-19 infection was obtained. Bivariate analysis was conducted and variables with a likely association with TB status were entered in a multivariate model. RESULTS: Bivariate analysis demonstrated a significant relationship between prior COVID-19 infection and TB (95% confidence interval = 1.1-22.8, odds ratio [OR] = 5). Among other variables the severity of COVID-19 infection was found to have a likely association with TB status (p = .125). In a multivariate model, prior COVID-19 infection per se, was not found to be significantly associated with TB (p = .12, OR = 4.5). CONCLUSIONS: There seems to be an association between prior history of COVID-19 and a future diagnosis of TB partially linked to the severity of disease. The findings of the current study may serve as a basis for further studies to determine the need for and efficacy of measures to follow-up COVID-19 patients at an increased risk for developing TB.

Serum C-reactive protein greater than 75 mg/dL as an early available laboratory predictor of severe COVID-19: A systematic review.

INTRODUCTION: Severe COVID-19 management is still challenging. Having a laboratory factor to predict the severity of a patient's condition can be very useful in how to approach each patient. There have been studies concentrating on the correlation between serum C-reactive protein (CRP) level and COVID-19 severity but we aim to reach a threshold for CRP in disease severity determination. METHODS: We conducted a thorough search on PubMed, Web of Science and Google Scholar databases from early 2019 to October 2021, and 323 studies were assessed for eligibility in three phases. We used the Newcastle-Ottawa Scale to examine the validity of the studies. The t-test was applied for the CRP level cutoffs. RESULTS: Eventually, 11 articles and 1615 patients were included in this systematic review. Our analysis evaluated combined mean, median, and standard deviation of severe patients' CRP to be respectively 73.37, 53.80, and 47.936. Based on the combined mean, 75 mg/dL was suggested as an initial threshold for baseline CRP in hospitalized patients for developing severe conditions. CONCLUSION: This study recommends that COVID-19 patients with on-admission serum CRP levels of 75 mg/dL and more are likely associated with severe conditions. Thus, anti-inflammatory agents and further following may be helpful in these patients.