Trivedi Madhukar H, Lin Elizabeth H B, Katon Wayne J
Mood Disorders Program, Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.
CNS Spectr. 2007 Aug;12(8 Suppl 13):1-27.
Major depressive disorder (MDD) is often a chronic, recurrent, and debilitating disorder with a lifetime prevalence of 16.2% and a 12-month prevalence of 6.6% in the United States. The disorder is associated with high rates of comorbidity with other psychiatric disorders and general medical illnesses, lower rates of adherence to medication regimens, and poorer outcomes for chronic physical illness. While 51.6% of cases reporting MDD received health care treatment for the illness, only 21.7% of all MDD cases received minimal guideline-level treatment. Because the overwhelming majority of patients with depressive disorders are seen annually by their primary care physicians, the opportunity to diagnose and treat patients early in the course of their illness in the primary care setting is substantial, though largely unfulfilled by our current health care system. The goal of treatment is 2-fold: early and complete remission of symptoms of depression and eventual recovery to premorbid levels of functioning in response to acute-phase treatment, and prevention of relapse during the continuation phase or recurrence during the maintenance phase. However, only 25% to 50% of patients with MDD adhere to their antidepressant regimen for the length of time recommended by depression guidelines, and nearly 50% of depressed patients referred from primary care to specialty care treatment fail to complete the referral. Patients with chronic or treatment-resistant depression often require multiple trials using an algorithm-based approach involving more than one treatment strategy. Under conditions of usual care, 40% to 44% of patients with MDD treated with antidepressants in the primary care setting show a >or=50% improvement in depression scores at 4-month follow-up, compared with 70% to 75% of those treated using collaborative care models. This demonstrates the importance of factors other than antidepressant medication per se for achieving treatment effectiveness. Additional research is needed to evaluate longer-term outcomes of algorithm-based, stepped, collaborative care models that incorporate patient self-management in conjunction with usual care. Furthermore, the health care system must undergo major transformation to effectively treat depression, along with other chronic illnesses. The use of evidence-based treatment algorithms are discussed and recommendations are provided for patients and physicians based on collaborative care interventions that may be useful for improving the current management of depressive disorders.
重度抑郁症(MDD)通常是一种慢性、复发性且使人衰弱的疾病,在美国其终生患病率为16.2%,12个月患病率为6.6%。该疾病与其他精神疾病和普通内科疾病的高共病率、较低的药物治疗方案依从率以及慢性躯体疾病的较差预后相关。虽然51.6%报告患有MDD的病例接受了该疾病的医疗保健治疗,但在所有MDD病例中,只有21.7%接受了最低限度的指南级治疗。由于绝大多数抑郁症患者每年都会去看他们的初级保健医生,因此在初级保健环境中于疾病早期诊断和治疗患者的机会很大,尽管目前的医疗保健系统在很大程度上未能实现这一点。治疗目标有两个:通过急性期治疗使抑郁症症状早期完全缓解并最终恢复到病前功能水平,以及在巩固期预防复发或在维持期预防复发。然而,只有25%至50%的MDD患者按照抑郁症指南推荐的时间长度坚持服用抗抑郁药治疗方案,并且从初级保健转诊至专科护理治疗的抑郁症患者中近50%未能完成转诊。患有慢性或难治性抑郁症的患者通常需要使用基于算法的方法进行多次试验,该方法涉及不止一种治疗策略。在常规护理条件下,在初级保健环境中接受抗抑郁药治疗的MDD患者中,40%至44%在4个月随访时抑郁症评分改善≥50%,而使用协作护理模式治疗的患者这一比例为70%至75%。这表明除了抗抑郁药物本身之外,其他因素对于实现治疗效果也很重要。需要进行更多研究来评估基于算法的、分阶段的、将患者自我管理与常规护理相结合的协作护理模式的长期结果。此外,医疗保健系统必须进行重大变革,以有效治疗抑郁症以及其他慢性疾病。本文讨论了基于证据的治疗算法的使用,并根据协作护理干预为患者和医生提供了建议,这些干预可能有助于改善目前对抑郁症的管理。