Quantifying the impact of chronic conditions on a diagnosis of major depressive disorder in adults: a cohort study using linked electronic medical records
نویسندگان
چکیده
BACKGROUND Major depressive disorder (MDD) is often comorbid with other chronic mental and physical health conditions. Although the literature widely acknowledges the association of many chronic conditions with the risk of MDD, the relative importance of these conditions on MDD risk in the presence of other conditions is not well investigated. In this study, we aimed to quantify the relative contribution of selected chronic conditions to identify the conditions most influential to MDD risk in adults and identify differences by age. METHODS This study used electronic health record (EHR) data on patients empanelled with primary care at Mayo Clinic in June 2013. A validated EHR-based algorithm was applied to identify newly diagnosed MDD patients between 2000 and 2013. Non-MDD controls were matched 1:1 to MDD cases on birth year (±2 years), sex, and outpatient clinic visits in the same year of MDD case diagnosis. Twenty-four chronic conditions defined by Chronic Conditions Data Warehouse were ascertained in both cases and controls using diagnosis codes within 5 years of index dates (diagnosis dates for cases, and the first clinic visit dates for matched controls). For each age group (45 years or younger, between 46 and 60, and over 60 years), conditional logistic regression models were used to test the association between each condition and subsequent MDD risk, adjusting for educational attainment and obesity. The relative influence of these conditions on the risk of MDD was quantified using gradient boosting machine models. RESULTS A total of 11,375 incident MDD cases were identified between 2000 and 2013. Most chronic conditions (except for eye conditions) were associated with risk of MDD, with different association patterns observed depending on age. Among 24 chronic conditions, the greatest relative contribution was observed for diabetes mellitus for subjects aged ≤ 60 years and rheumatoid arthritis/osteoarthritis for those over 60 years. CONCLUSIONS Our results suggest that specific chronic conditions such as diabetes mellitus and rheumatoid arthritis/osteoarthritis may have greater influence than others on the risk of MDD.
منابع مشابه
Efficacy of different doses of ketamine as a bolus in major depressive disorder
Background: Major depressive disorder is a severe, heterogeneous, common medical illness and a leading cause of disability throughout the world that poses a significant public health issue. Previous studies have shown rapid antidepressant effects following a single administration of ketamine. This study aimed to assess the impact of route of administration and dose of ketamine for the reduction...
متن کاملSomatic Symptom Scale -8 in Major Depressive Disorder: A Psychometric Evaluation
Objective: Somatic symptom disorder (SSD) is characterized by somatic symptoms that are very distressing or cause considerable functional disability. SSD is associated with various medical and psychiatric conditions and imposes high costs on the patient's health care system. Therefore, diagnosis and treatment of SSD are crucial. The Somatic Symptom Scale-8 (SSS-8) is a valuable and brief self-r...
متن کاملMajor depressive disorder: a study based on revised-reinforcement sensitivity theory of personality
Background: Study of personality can help to explanation of pathology in mental disorders. The aim of this study was to examine major depressive disorder (MDD) based on revised- reinforcement sensitivity theory (r-RST). Materials and Methods: Forty-five patients with MDD along with 45 healthy individuals as a control group participated in the present study. Following the informed consent f...
متن کاملUsing Data Mining Techniques for Intelligent Diagnosis of Severity of Depressive Disorder
Introduction: Implementing a method that can help individuals diagnose or prevent mental disorders can be an important step in preventing and controlling these disorders especially in the early stages. The objective of this research was to apply data mining techniques for intelligent diagnosis of severity of depressive disorder. Method: The present applied research was carried out by going to a...
متن کاملDesigning a Minimum Data Set for Major Thalassemia Patients: Towards Electronic Personal Health Record
Introduction: In advanced medicine, large amounts of data are produced. However, there is always a gap between their collection and their understanding and interpretation. Thus, the minimum data sets are prepared. Thalassemia major is a chronic genetic blood disorder and the most common genetic disorder in the world. So, the aim of this study was to determine the data set for personal health re...
متن کامل