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Low back pain is one of the most common reasons for physician visits in the United States and is a chief complaint frequently seen by orthopedic surgeons. Patients with chronic low back pain can experience recurring debilitating pain and disability, decreasing their quality of life. A commercially available software platform, Explorys (Explorys, Inc, Cleveland, Ohio), was used to mine a pooled electronic health care database consisting of the medical records of more than 26 million patients. According to the available medical history data, 1.2 million patients had a diagnosis of low back pain (4.54%). The information was used to determine the incidence of low back pain in patients with a history of nicotine dependence, obesity (body mass index, >30 kg/m(2)), depressive disorders, and alcohol abuse. Relative risk was then calculated for the defined modifiable risk factors. Patients with nicotine dependence, obesity, depressive disorders, and alcohol abuse had a relative risk of 4.489, 6.007, 5.511, and 3.326 for low back pain, respectively, compared with patients without the defined risk factor. A statistically significant difference was found in the incidence of low back pain between all 4 groups with the risk factors evaluated and the general population (P<.05). By determining treatable patient risk factors for low back pain, physicians can monitor at-risk patients and focus on prevention and control of debilitating disease. These approaches can decrease the number of patients with isolated low back pain who are seen by orthopedic surgeons. [Orthopedics. 2016; 39(3):e413-e416.].

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The objective of this study was to validate the use of a software platform (Explorys, Inc., Cleveland, OH) by determining whether the association observed between obesity and revision of total knee arthroplasty (TKA) was obtained within this database. Risk of revision in cohorts with a BMI > 30, as well as cohorts with a BMI between 30-35, 35-40 and >40 was compared to patients with a BMI between 18 and 30 (relative risk, RR). Risk in men versus women was examined. From this database, 70,070 patients were identified that had undergone a TKA. Risk of revision increased as a function of BMI; RR achieved significance in the following cohorts: all patients with a BMI > 30, all patients with a BMI > 40, men with a BMI > 30 and men with a BMI > 40. All other subgroups showed increased RR but did not reach significance. In obese patients, RR was greater in men than in women, and the effect was significant in all groups examined except patients with a BMI between 35 and 40. Data from this study contribute to the process of demonstrating the Explorys software platform is a valid and useful method to investigate associations across large populations.