Pneumocystis jirovecii and Mycobacterium tuberculosis Pulmonary Coinfection in an HIV-Seronegative Patient: A Case Report and Literature Review

Infect Drug Resist. 2022 Jul 30:15:4149-4154. doi: 10.2147/IDR.S370023. eCollection 2022.

Abstract

Background: Coinfection with Pneumocystis jirovecii and Mycobacterium tuberculosis is rare in HIV-seronegative patients. Because it is associated with unknown morbidity and a high mortality rate especially in patients with immunosuppression, health care practitioners should have a high index of suspicion when dealing with such patients.

Case presentation: A 66-year-old man with glucocorticoid therapy for 9 years had a fever after getting a cold and developed respiratory failure rapidly within 3 days. He was given trimethoprim-sulfamethoxazole empirically before Pneumocystis pneumonia (PCP) was confirmed with the presence of cysts in the sputum. Although there was a partial improvement of symptoms, an area of consolidation on the left upper lung lobe gradually enlarged. Bronchoscopy was performed 3 times and Mycobacterium tuberculosis infection was finally diagnosed. For 1 years, he was treated with standard antituberculosis agents, and his psychological well-being was managed using traditional Chinese medicine techniques. After 3 years of follow-up, his outcome was very good.

Conclusion: HIV-seronegative patients on long-term glucocorticoid therapy in areas with a high incidence of Mycobacterium tuberculosis may be co-infected with Pneumocystis jirovecii. When opportunistic infections are suspected, diagnostic procedures including invasive ones should be performed as soon as possible and appropriate interventions need to be carried out promptly.

Keywords: HIV-seronegative; Immunosuppressed; Mycobacterium tuberculosis; PCP; Pneumocystis jirovecii; corticosteroids.

Publication types

  • Case Reports

Grants and funding

This work was supported by National Key R&D Program of China (2020YFC2005401), Xicheng financial, scientific and technological project (XCSTS-SD2021-02), and Project funded by Baidu Fund of Peking University (2020BD045).