Clinical and imaging factors that can predict contagiousness of pulmonary tuberculosis

Unnewehr M, Meyer-Oschatz F, Friederichs H, Windisch W, Schaaf B (2023)
BMC Pulmonary Medicine 23(1): 328.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Autor*in
Unnewehr, Markus; Meyer-Oschatz, Florian; Friederichs, HendrikUniBi ; Windisch, Wolfram; Schaaf, Bernhard
Abstract / Bemerkung
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. © 2023. BioMed Central Ltd., part of Springer Nature.
Erscheinungsjahr
2023
Zeitschriftentitel
BMC Pulmonary Medicine
Band
23
Ausgabe
1
Art.-Nr.
328
eISSN
1471-2466
Page URI
https://pub.uni-bielefeld.de/record/2982999

Zitieren

Unnewehr M, Meyer-Oschatz F, Friederichs H, Windisch W, Schaaf B. Clinical and imaging factors that can predict contagiousness of pulmonary tuberculosis. BMC Pulmonary Medicine . 2023;23(1): 328.
Unnewehr, M., Meyer-Oschatz, F., Friederichs, H., Windisch, W., & Schaaf, B. (2023). Clinical and imaging factors that can predict contagiousness of pulmonary tuberculosis. BMC Pulmonary Medicine , 23(1), 328. https://doi.org/10.1186/s12890-023-02617-y
Unnewehr, Markus, Meyer-Oschatz, Florian, Friederichs, Hendrik, Windisch, Wolfram, and Schaaf, Bernhard. 2023. “Clinical and imaging factors that can predict contagiousness of pulmonary tuberculosis”. BMC Pulmonary Medicine 23 (1): 328.
Unnewehr, M., Meyer-Oschatz, F., Friederichs, H., Windisch, W., and Schaaf, B. (2023). Clinical and imaging factors that can predict contagiousness of pulmonary tuberculosis. BMC Pulmonary Medicine 23:328.
Unnewehr, M., et al., 2023. Clinical and imaging factors that can predict contagiousness of pulmonary tuberculosis. BMC Pulmonary Medicine , 23(1): 328.
M. Unnewehr, et al., “Clinical and imaging factors that can predict contagiousness of pulmonary tuberculosis”, BMC Pulmonary Medicine , vol. 23, 2023, : 328.
Unnewehr, M., Meyer-Oschatz, F., Friederichs, H., Windisch, W., Schaaf, B.: Clinical and imaging factors that can predict contagiousness of pulmonary tuberculosis. BMC Pulmonary Medicine . 23, : 328 (2023).
Unnewehr, Markus, Meyer-Oschatz, Florian, Friederichs, Hendrik, Windisch, Wolfram, and Schaaf, Bernhard. “Clinical and imaging factors that can predict contagiousness of pulmonary tuberculosis”. BMC Pulmonary Medicine 23.1 (2023): 328.
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