Clinical features and follow up of 302 patients with Mycobacterium kansasii pulmonary infection: a 50 year experience.

Aims: To analyse clinical features and treatment outcomes of patients with pulmonary Mycobacterium kansasii infection treated at Hines VA Hospital between 1952 and 1995, and followed up until 2003.

Findings: 302 patients were confirmed to have M kansasii pulmonary infection; diagnosis was not made until death in 2%. The average age was 50 years old; 76% were white; all were men.

Mycobacterium kansasii infection following primary pulmonary malignancy.

The purpose of this study was to determine whether any of the Mycobacterium kansasii cases were the consequences of primary lung malignancy. The records and chest x-ray films of 295 patients with M kansasii pulmonary infection were reviewed. The infection was found to complicate the primary lung neoplasm in four cases.

Direct diagnosis of tuberculosis by computer assisted pattern recognition gas chromatographic analysis of sputum.

Chemical detection of tuberculosis (TB) products in sputum was attempted by using gas chromatographic analysis in conjunction with different pattern recognition computer models. For the chromatographic separations, we used a 2 mm x 1.8 m packed column and a 0.

Resolution of secondary amyloidosis 14 years after adequate chemotherapy for skeletal tuberculosis.

Despite available chemotherapy, survival of patients with skeletal tuberculosis and secondary amyloidosis for more than five years is extremely unusual. We have described a patient with inadequately treated tuberculous osteomyelitis and later concomitant pulmonary tuberculosis and secondary amyloidosis. After a prolonged course of antituberculous chemotherapy, the patient was found to be cured of the tuberculosis and to have complete resolution of the amyloidosis 14 years after the diagnosis.

Identifying Mycobacterium tuberculosis cultures by gas-liquid chromatography and a computer-aided pattern recognition model.

A procedure that uses gas-liquid chromatography and a pattern recognition computer model was developed for distinguishing cultures of Mycobacterium tuberculosis from cultures of other mycobacteria, common bacteria, and fungi. In this procedure, a sample of a culture preparation is methanolyzed and trimethylsilylated sequentially and injected into a gas chromatograph equipped with a flame ionization detector. A pattern recognition procedure computes an error score by comparing the gas-liquid chromatography peak responses of a culture to those of a standard M.