The Risk of Osteoporosis and Osteoporotic Fracture Following the Use of Irritable Bowel Syndrome Medical Treatment: An Analysis Using the OMOP CDM Database.
Gyu Lee KimYu Hyeon YiHye Rim HwangJinmi KimYoungmin ParkYun Jin KimJeong Gyu LeeYoung Jin TakSeung Hun LeeSang Yeoup LeeYoung Hye ChoEun Ju ParkYoungin LeePublished in: Journal of clinical medicine (2021)
Patients with irritable bowel syndrome (IBS) are at increased risk of osteoporosis and osteoporotic fracture. This study investigated whether IBS medication attenuated the rate of osteoporosis and osteoporotic fracture risk. We conducted a retrospective large-scale multicenter study across eight hospital databases encoded in the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). The primary outcome was the incidence of osteoporosis, whereas secondary outcomes were osteoporotic fractures. After 1:4 matching, 24,723 IBS patients, 78,318 non-IBS patients, 427,640 non-IBS patients with IBS medication, and 827,954 non-IBS patients without IBS medication were selected. The risk of osteoporosis was significantly increased in the IBS group compared to the non-IBS group (hazard ratio (HR) 1.33; confidence interval (CI) 1.17~1.51). Even in patients who were not diagnosed with IBS, the risk of osteoporosis was significantly increased in those with IBS medication compared to those without (HR 1.77, CI 1.62~1.93). The risk of osteoporotic fracture was significantly increased in the IBS medication group (HR 1.69, CI 1.55~1.84). Patients exposed to IBS treatment even without IBS diagnosis were at increased risk of osteoporosis and osteoporotic fracture. Early diagnosis and treatment of osteoporosis should be considered in patients who have received medication for IBS symptoms.
Keyphrases
- irritable bowel syndrome
- bone mineral density
- end stage renal disease
- postmenopausal women
- healthcare
- newly diagnosed
- ejection fraction
- chronic kidney disease
- peritoneal dialysis
- prognostic factors
- emergency department
- adverse drug
- machine learning
- weight loss
- metabolic syndrome
- risk factors
- insulin resistance
- data analysis
- atomic force microscopy