Abstract

Dysbiosis (also called dysbacteriosis) is characterized by a disruption of the microbiome, resulting in an imbalance in the microbiota, changes in their functional composition and metabolic activities, and a shift in their local distribution. Dysbiosis is most commonly reported as a condition affecting the gastrointestinal tract, for example with bacterial or fungal overgrowth in the small intestine. Known causes of dysbiosis include antibiotic use, liver disease, and alcohol misuse. To determine those variables associated with the diagnosis of dysbiosis using a national database containing data supplied by general practitioners in Germany. Patient data for the period January 2005 to December 2018 were obtained from the Disease Analyzer database (IQVIA) based on data from 1,193 general practices in Germany. Inclusion criteria were all adult patients (≥18 years) with an initial diagnosis of dysbiosis documented anonymously. Data for variables such as drug treatment, other diseases etc. associated with the diagnosis were analyzed using multivariable logistic regression analyses. A total of 4,013 patients diagnosed with dysbiosis and a comparative control cohort of 4,013 patients without such a dysbiosis were included in the study. The mean age in both groups was ~50 years where 65.2% of subjects were women. Decongestants and other nasal preparations for topical use (OR: 1.45, 95% CI: 1.14-1.85), proton pump inhibitors (OR: 1.39; 95% CI: 1.21-1.61), and systemic antibiotics (OR: 1.28, 95% CI: 1.13-1.47) were significantly associated with an increased occurrence of dysbiosis, whereas non-steroidal antirheumatic drugs (OR: 0.78, 95% CI: 0.69-0.87), lipid-lowering drugs (OR: 0.76, 95% CI: 0.63-0.93), and ACE inhibitors (OR: 0.64, 95% CI: 0.53-0.77) were associated with a decreased occurrence of dysbiosis. The study provides evidence that treatment with decongestants and other nasal preparations is strongly associated with an increased occurrence of dysbiosis. Although the pathophysiology of dysbiosis is multifactorial and confounding factors cannot be ruled out, the close correlation seen may have clinical significance.

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