Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany.
Division of Clinical Epidemiology and Ageing Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Cardiovasc Diabetol. 2021 May 13;20(1):108. doi: 10.1186/s12933-021-01298-3.
Diabetes mellitus (DM) and depression are bidirectionally interrelated. We recently identified long-term trajectories of depression symptom severity in individuals with coronary heart disease (CHD), which were associated with the risk for subsequent cardiovascular events (CVE). We now investigated the prognostic value of these trajectories of symptoms of depression with the risk of incident DM in patients with stable coronary heart disease.
The KAROLA cohort included CHD patients participating in an in-patient rehabilitation program (years 1999/2000) and followed for up to 15 years. We included 1048 patients (mean age 59.4 years, 15% female) with information on prevalent DM at baseline and follow-up data. Cox proportional hazards models were used to model the risk for incident DM during follow-up by depression trajectory class adjusted for age, sex, education, smoking status, body mass index, and physical activity. In addition, we modeled the excess risk for subsequent CVE due to incident DM during follow-up for each of the depression trajectories.
DM was prevalent in 20.7% of patients at baseline. Over follow-up, 296 (28.2%) of patients had a subsequent CVE. During follow-up, 157 (15.0%) patients developed incident DM before experiencing a subsequent CVE. Patients following a high-stable depression symptom trajectory were at substantially higher risk of developing incident DM than patients following a low-stable depression symptom trajectory (hazard ratio (HR) = 2.50; 95% confidence interval (CI) (1.35, 4.65)). A moderate-stable and an increasing depression trajectory were associated with HRs of 1.48 (95%-CI (1.10, 1.98)) and 1.77 (95%-CI (1.00, 3.15)) for incident DM. In addition, patients in the high-stable depression trajectory class who developed incident DM during follow-up were at 6.5-fold risk (HR = 6.51; 95%-CI (2.77, 15.3)) of experiencing a subsequent cardiovascular event.
In patients with CHD, following a trajectory of high stable symptoms of depression was associated with an increased risk of incident DM. Furthermore, incident DM in these patients was associated with a substantially increased risk of subsequent CVE. Identifying depressive symptoms and pertinent treatment offers might be an important and promising approach to enhance outcomes in patients with CHD, which should be followed up in further research and practice.
糖尿病(DM)和抑郁症相互关联。我们最近确定了患有冠心病(CHD)患者的抑郁症状严重程度的长期轨迹,这些轨迹与随后发生心血管事件(CVE)的风险相关。现在,我们研究了这些抑郁症状轨迹与稳定型冠心病患者发生 DM 的风险之间的预后价值。
KAROLA 队列包括参加住院康复计划的 CHD 患者(1999/2000 年),并随访了长达 15 年。我们纳入了 1048 名患者(平均年龄 59.4 岁,15%为女性),他们在基线和随访时均有信息记录患有 DM。使用 Cox 比例风险模型,根据年龄、性别、教育程度、吸烟状况、体重指数和身体活动情况,对抑郁轨迹组内的新发 DM 风险进行建模。此外,我们还对每个抑郁轨迹因新发 DM 导致的后续 CVE 的超额风险进行了建模。
基线时患者中 DM 的患病率为 20.7%。随访期间,296 名(28.2%)患者发生了后续 CVE。随访期间,157 名(15.0%)患者在发生后续 CVE 之前发生了新发 DM。与低稳定抑郁症状轨迹相比,遵循高稳定抑郁症状轨迹的患者发生新发 DM 的风险显著更高(风险比(HR)=2.50;95%置信区间(CI)(1.35,4.65))。中稳定和递增的抑郁轨迹与新发 DM 的 HR 分别为 1.48(95%-CI(1.10,1.98))和 1.77(95%-CI(1.00,3.15))。此外,在随访期间发生新发 DM 的高稳定抑郁轨迹患者发生后续 CVE 的风险高 6.5 倍(HR=6.51;95%-CI(2.77,15.3))。
在 CHD 患者中,遵循高稳定的抑郁症状轨迹与新发 DM 的风险增加相关。此外,这些患者的新发 DM 与后续 CVE 的风险显著增加相关。识别抑郁症状并提供相关治疗可能是提高 CHD 患者预后的一个重要且有前途的方法,应在进一步的研究和实践中进行随访。