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Clinical analysis of non-tuberculous mycobacterial pulmonary diseases in patients with mechanical ventilation

Yang C, Chen S, Xi Y, Liu D, Zhang R, Qiu G, He W, Li Y et al.

Zhonghua wei zhong bing ji jiu yi xue, 2019

12 participants

Abstract

OBJECTIVE: To study the risk factors and the clinical characteristics of non-tuberculous mycobacterial (NTM) pulmonary diseases in patients with mechanical ventilation.

METHODS: Retrospective survey was carried out in the patients with mechanical ventilation who combined with NTM pulmonary disease admitted to intensive care unit (ICU) of the First Affiliated Hospital of Guangzhou Medical University from May 2016 to May 2019. The general information, basic diseases, symptoms, signs, biochemical examinations, acid-fast stain test, mycobacterium culture and strain identification results, and chest CT data were collected to summarize the clinical characteristics of patients with mechanical ventilation combined with NTM pulmonary disease.

RESULTS: There were 12 patients with mechanical ventilation combined with NTM pulmonary disease, 6 males and 6 females, 37-82 years old, with an average age of 65 years. In these 12 cases, patients with cancer (lung cancer were 4 cases, mediastinal tumor was 1 case) and after lung transplantation (use of anti-rejection drugs at the same time) were 5 and 2 respectively. Patients with at least 3 underlying diseases [included hypertension, diabetes, coronary heart disease, chronic obstructive pulmonary disease (COPD), bronchiectasis, chronic renal insufficiency] were 5. Clinical symptoms of the 12 cases were non-specific. The CT findings were not characteristic, including nodules, patchy infiltrations and fibrous streak. Pleural effusion was common…

How strong is the evidence?

Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 12 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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