BACKGROUND: Depression is known to be associated with premature mortality and cardiovascular disease (CVD) in type 2 diabetes, although there is a paucity of similar data in Chinese population. In this study, we examined the risk association of major depression with premature mortality and CVD in a hospital clinic-based cohort. METHODS: In a prospective cohort of 7835 Hong Kong Chinese with type 2 diabetes but without CVD at baseline, 153 patients were diagnosed with major depression by psychiatrists in public hospitals. After a median follow-up period of 7.4 years, 827 patients died and 829 patients developed CVD mainly due to stroke (n=384). We used Cox proportional hazard regression to obtain the hazard ratio (HR, 95% confidence interval, CI) of depression for the risk of mortality and CVD. RESULTS: Depressed patients were younger (51.6 versus 56.6 years, p<0.001), more likely to be female (78.4% versus 53.0%, p<0.001), had higher LDL-cholesterol (3.2 versus 3.0 mmol/L, p=0.038) at baseline and longer hospitalization stays per year (median:0.8 nights per 100-person-years versus 0.1 nights per 100-person-years, p<0.001). After adjusting for conventional risk factors, depression independently predicted CVD [HR=2.18(95% CI=1.45-3.27)], mainly due to stroke [HR=3.55(95% CI=2.15-5.84)]. LIMITATIONS: The young age and small sample size of patients with depression did not give sufficient power to confirm risk association of depression with premature mortality and myocardial infarction. CONCLUSIONS: In Chinese type 2 diabetic patients, depression was associated with a 2-3 fold increase in the risk of incident CVD, especially stroke.
BACKGROUND:Depression is known to be associated with premature mortality and cardiovascular disease (CVD) in type 2 diabetes, although there is a paucity of similar data in Chinese population. In this study, we examined the risk association of major depression with premature mortality and CVD in a hospital clinic-based cohort. METHODS: In a prospective cohort of 7835 Hong Kong Chinese with type 2 diabetes but without CVD at baseline, 153 patients were diagnosed with major depression by psychiatrists in public hospitals. After a median follow-up period of 7.4 years, 827 patients died and 829 patients developed CVD mainly due to stroke (n=384). We used Cox proportional hazard regression to obtain the hazard ratio (HR, 95% confidence interval, CI) of depression for the risk of mortality and CVD. RESULTS: Depressed patients were younger (51.6 versus 56.6 years, p<0.001), more likely to be female (78.4% versus 53.0%, p<0.001), had higher LDL-cholesterol (3.2 versus 3.0 mmol/L, p=0.038) at baseline and longer hospitalization stays per year (median:0.8 nights per 100-person-years versus 0.1 nights per 100-person-years, p<0.001). After adjusting for conventional risk factors, depression independently predicted CVD [HR=2.18(95% CI=1.45-3.27)], mainly due to stroke [HR=3.55(95% CI=2.15-5.84)]. LIMITATIONS: The young age and small sample size of patients with depression did not give sufficient power to confirm risk association of depression with premature mortality and myocardial infarction. CONCLUSIONS: In Chinese type 2 diabeticpatients, depression was associated with a 2-3 fold increase in the risk of incident CVD, especially stroke.
Authors: Christoph U Correll; Marco Solmi; Nicola Veronese; Beatrice Bortolato; Stella Rosson; Paolo Santonastaso; Nita Thapa-Chhetri; Michele Fornaro; Davide Gallicchio; Enrico Collantoni; Giorgio Pigato; Angela Favaro; Francesco Monaco; Cristiano Kohler; Davy Vancampfort; Philip B Ward; Fiona Gaughran; André F Carvalho; Brendon Stubbs Journal: World Psychiatry Date: 2017-06 Impact factor: 49.548
Authors: Annie C H Fung; Gary Tse; Hiu Lam Cheng; Eric S H Lau; Andrea Luk; Risa Ozaki; Tammy T Y So; Rebecca Y M Wong; Joshua Tsoh; Elaine Chow; Yun Kwok Wing; Juliana C N Chan; Alice P S Kong Journal: Front Endocrinol (Lausanne) Date: 2018-05-29 Impact factor: 5.555
Authors: Khalida Ismail; Calum D Moulton; Kirsty Winkley; John C Pickup; Stephen M Thomas; Roy A Sherwood; Daniel Stahl; Stephanie A Amiel Journal: Diabetologia Date: 2017-08-03 Impact factor: 10.122