BACKGROUND: Medical comorbidity in patients with mood disorders has become an increasingly important clinical and global public health issue. Several specific medical conditions are associated with an increased risk of mood disorders, and conversely, mood disorders are associated with increased morbidity and mortality in patients with specific medical disorders. METHODS: To help understand the bidirectional relationship and to provide an evidence-based framework to guide the treatment of mood disorders that are comorbid with medical illness, we have reviewed relevant articles and reviews published in English-language databases (to April 2011) on the links between mood disorders and several common medical conditions, evaluating the efficacy and safety of pharmacologic and psychosocial treatments. The medical disorders most commonly encountered in adult populations (ie, cardiovascular disease, cerebrovascular disease, cancer, human immunodeficiency virus, hepatitis C virus, migraine, multiple sclerosis, epilepsy, and osteoporosis) were chosen as the focus of this review. RESULTS: Emerging evidence suggests that depression comorbid with several medical disorders is treatable and failure to treat depression in medically ill patients may have a negative effect on medical outcomes. CONCLUSIONS: This review summarizes the available evidence and provides treatment recommendations for the management of comorbid depression in medically ill patients.
BACKGROUND: Medical comorbidity in patients with mood disorders has become an increasingly important clinical and global public health issue. Several specific medical conditions are associated with an increased risk of mood disorders, and conversely, mood disorders are associated with increased morbidity and mortality in patients with specific medical disorders. METHODS: To help understand the bidirectional relationship and to provide an evidence-based framework to guide the treatment of mood disorders that are comorbid with medical illness, we have reviewed relevant articles and reviews published in English-language databases (to April 2011) on the links between mood disorders and several common medical conditions, evaluating the efficacy and safety of pharmacologic and psychosocial treatments. The medical disorders most commonly encountered in adult populations (ie, cardiovascular disease, cerebrovascular disease, cancer, human immunodeficiency virus, hepatitis C virus, migraine, multiple sclerosis, epilepsy, and osteoporosis) were chosen as the focus of this review. RESULTS: Emerging evidence suggests that depression comorbid with several medical disorders is treatable and failure to treat depression in medically ill patients may have a negative effect on medical outcomes. CONCLUSIONS: This review summarizes the available evidence and provides treatment recommendations for the management of comorbid depression in medically ill patients.
Authors: Sidney H Kennedy; Raymond W Lam; Roger S McIntyre; S Valérie Tourjman; Venkat Bhat; Pierre Blier; Mehrul Hasnain; Fabrice Jollant; Anthony J Levitt; Glenda M MacQueen; Shane J McInerney; Diane McIntosh; Roumen V Milev; Daniel J Müller; Sagar V Parikh; Norma L Pearson; Arun V Ravindran; Rudolf Uher Journal: Can J Psychiatry Date: 2016-08-02 Impact factor: 4.356
Authors: Sagar V Parikh; Lena C Quilty; Paula Ravitz; Michael Rosenbluth; Barbara Pavlova; Sophie Grigoriadis; Vytas Velyvis; Sidney H Kennedy; Raymond W Lam; Glenda M MacQueen; Roumen V Milev; Arun V Ravindran; Rudolf Uher Journal: Can J Psychiatry Date: 2016-08-02 Impact factor: 4.356
Authors: Daniel C McFarland; Kelly M Shaffer; Heather Polizzi; John Mascarenhas; Marina Kremyanskaya; Jimmie Holland; Ronald Hoffman Journal: Psychosomatics Date: 2018-01-31 Impact factor: 2.386
Authors: Martin A Katzman; Pierre Bleau; Pierre Blier; Pratap Chokka; Kevin Kjernisted; Michael Van Ameringen; Martin M Antony; Stéphane Bouchard; Alain Brunet; Martine Flament; Sophie Grigoriadis; Sandra Mendlowitz; Kieron O'Connor; Kiran Rabheru; Peggy M A Richter; Melisa Robichaud; John R Walker Journal: BMC Psychiatry Date: 2014-07-02 Impact factor: 3.630