Background: Tuberculosis is the oldest common infectious disease affecting not only lungs but several organs in a human body. Its caused by the bacteria Mycobacterium tuberculosis. Tuberculosis exposure is through lungs. This disease has co-morbid conditions. The basic treatment according to WHO is with Isoniazid, Rifampicin, Pyrazinamide, Ethambutol, but these drugs may lead to adverse drug reactions and drug interactions. Objective: To determine the adverse effects and drug-drug interactions post administration of anti-tubercular drugs and to determine the influence of drugs on their co-morbid conditions of patients suffering from tuberculosis in Aster Prime Hospital. Methods: The patient’s prescriptions of total 110 were collected from the outpatient and in-patient Pulmonology department. These were noted in the data collection form and the comparative study was done by evaluating the number of male and female affected with Tuberculosis, common drug-drug interaction with respective drug, adverse drug reaction followed by the common co-morbid condition occurring with TB and the effect of drugs on co-morbidities Results: The prevalence of tuberculosis in 110 patients was found to be more in females by 12% than males. The co-morbid conditions found with tuberculosis were Hypertension, diabetes, pleural effusion, hepatitis, cavitary disease and respiratory failure. The least common comorbidities were chronic obstructive pulmonary disease (COPD), gastritis, and stroke and chronic kidney disease (CKD) and ulcerative colitis. The total adverse effect found in the 62 patients (56.36%) and the patients with no adverse drug reactions were 48 (43.63%) The percentage of total drug-drug interactions found in the patients were 44% (n=48) and the percentage of patients with no interactions were 56% (n=62). Conclusion: Health care workers play an important role and considered as a vital group for tuberculosis awareness activities to increase competence in TB management and compliance with national guidelines. Interventions address a combination of varying influences on behaviour, focusing on specific gaps identified to improve their impact.
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