Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Sep 6;23(1):328.
doi: 10.1186/s12890-023-02617-y.

Clinical and imaging factors that can predict contagiousness of pulmonary tuberculosis

Affiliations

Clinical and imaging factors that can predict contagiousness of pulmonary tuberculosis

Markus Unnewehr et al. BMC Pulm Med. .

Abstract

Background: Knowledge on predicting pulmonary tuberculosis (PTB) contagiosity in the hospital admission setting is limited. The objective was to assess clinical and radiological criteria to predict PTB contagiosity.

Methods: Retrospective analysis of 7 clinical, 4 chest X-ray (CXR) and 5 computed tomography (CT) signs in 299 PTB patients admitted to an urban tertiary hospital from 2008 to 2016. If the acid fact bacilli stain was positive (AFB+) on admission, the case was considered high contagiosity.

Results: Best predictors for high PTB contagiosity (AFB+) were haemoptysis (OR 4.33), cough (3.00), weight loss (2.96), cavitation in CT (2.75), cavitation in CXR (2.55), tree-in-bud-sign in CT (2.12), German residency of the patient (1.89), and abnormal auscultation findings (1.83). A previous TB infection reduced the risk of contagiosity statistically (0.40). Radiographic infiltrates, miliary picture, and pleural effusion were not helpful in predicting high or low contagiosity. 34% of all patients were clinically asymptomatic (20% of the highly contagious group, 50% of the low contagious group).

Conclusion: Haemoptysis, cough and weight loss as well as cavitation and tree-in-bud sign in CXR/CT can be helpful to predict PTB contagiosity and to improve PTB management.

Keywords: Acid-fast bacilli; Clinical patient management; Disease; Lung infection; Mycobacteria; Prediction.

PubMed Disclaimer

Conflict of interest statement

The authors have no conflicts of interest to declare.

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Flow chart of the inclusion and exclusion criteria of the patients

References

    1. Haugnes H, Elstrøm P, Kacelnik O, Jadczak U, Wisløff T, de Blasio BF. Financial and temporal costs of patient isolation in Norwegian hospitals. J Hosp Infect. 2020;104(3):269–75. doi: 10.1016/j.jhin.2019.11.012. - DOI - PubMed
    1. Roth JA, Hornung-Winter C, Radicke I, et al. Direct costs of a contact isolation day: a prospective cost analysis at a Swiss university hospital. Infect Control Hosp Epidemiol. 2018;39(1):101–3. doi: 10.1017/ice.2017.258. - DOI - PubMed
    1. Kalimuddin S, Tan JMM, Tan BH, Low JGH. A retrospective review of a tertiary hospital’s isolation and de-isolation policy for suspected pulmonary tuberculosis. BMC Infect Dis. 2014;14:547. doi: 10.1186/s12879-014-0547-7. - DOI - PMC - PubMed
    1. Verlee K, Berriel-Cass D, Buck K, Nguyen C. Cost of isolation: daily cost of isolation determined and cost avoidance demonstrated from the overuse of personal protective equipment in an acute care facility. Am J Infect Control. 2014;42(4):448–9. doi: 10.1016/j.ajic.2013.10.014. - DOI - PubMed
    1. Scott B, Schmid M, Nettleman MD. Early identification and isolation of inpatients at high risk for tuberculosis. Arch Intern Med. 1994;154(3):326–30. doi: 10.1001/archinte.1994.00420030136014. - DOI - PubMed