Cardiovascular risk assessment using ASCVD risk score in fibromyalgia – A single centre, retrospective study using “traditional” case-control methodology and “novel” machine learning.

The objective of the current study is to compare the cardiovascular risk using AtheroSclerotic CardioVascular Disease (ASCVD) risk score in fibromyalgia patients versus normal controls as a traditional case-control study as well as apply supervised ML method for the development and training of a classification model to help predict the ASCVD risk category in fibromyalgia patients. 139 patients with fibromyalgia who visited the rheumatology out-patient department of the Quaternary centre in South India from 1st September 2016 to 31st January 2019; and who satisfied the inclusion criteria were included in the study. Fibromyalgia Impact Questionnaire Revised (FIQR) and Brief Pain Inventory (BPI) along with routine clinical and biochemical data of were included for analysis. 10 year and Lifetime mortality risk factors were analyzed using case control and supervised machine learning algorithms.