Comorbid medical illness and relapse of major depressive disorder in the continuation phase of treatment

Association between polypharmacy and depression relapse in individuals with comorbid depression and type 2 diabetes: a UK electronic health record study

BACKGROUND

Individuals with physical comorbidities and polypharmacy may be at higher risk of depression relapse, however, they are not included in the 'high risk of relapse' group for whom longer antidepressant treatment durations are recommended.

AIMS

In individuals with comorbid depression and type 2 diabetes (T2DM), we aimed to investigate the association and interaction between depression relapse and (a) polypharmacy, (b) previous duration of antidepressant treatment.

METHOD

This was a cohort study using primary care data from the UK Clinical Practice Research Datalink (CPRD) from years 2000 to 2018. We used Cox regression models with penalised B-splines to describe the association between restarting antidepressants and our two exposures.

RESULTS

We identified 48 001 individuals with comorbid depression and T2DM, who started and discontinued antidepressant treatment during follow-up. Within 1 year of antidepressant discontinuation, 35% of participants restarted treatment indicating depression relapse. As polypharmacy increased, the rate of restarting antidepressants increased until a maximum of 18 concurrent medications, where individuals were more than twice as likely to restart antidepressants (hazard ratio (HR) = 2.15, 95% CI 1.32-3.51). As the duration of previous antidepressant treatment increased, the rate of restarting antidepressants increased - individuals with a previous duration of ≥25 months were more than twice as likely to restart antidepressants than those who previously discontinued in <7 months (HR = 2.36, 95% CI 2.25-2.48). We found no interaction between polypharmacy and previous antidepressant duration.

CONCLUSIONS

Polypharmacy and longer durations of previous antidepressant treatment may be associated with depression relapse following the discontinuation of antidepressant treatment.

Comorbid Chronic Physical Illnesses in Type 1 Diabetes Adolescents: Personal, Caregiver, and Family Functioning

Having diabetes and comorbid chronic physical illnesses (CCPIs) suggests a higher risk for depression and lower health-related quality of life and treatment adherence. Caring for these patients is often overwhelming. Although CCPIs affect youths with type 1 diabetes (T1D), no study has examined the psychosocial or health-related impact of CCPIs in this population. We examined individual, caregiver, and family functioning differences among T1D adolescents with (G1; n = 25) and without (G2; n = 26) CCPIs. Participants were 51 youth (aged 12-17 years) enrolled in a depression treatment study. We administered diagnostic interviews and rating scales to assess each domain of interest. Using MANOVA, followed by individual univariate analyses, and Chi-square tests, we compared groups in continuous and categorical variables, respectively. MANOVA results were significant, F(4, 46) = 2.62, p = .047. Participants from G1 obtained lower global functioning scores compared to G2. Caregivers whose offspring had CCPIs were more depressed and reported higher burden but lower family functioning scores than their counterparts did. A higher percent of youths with CCPIs needed reminders about insulin use and met the criteria for major depression, but a lower proportion had access to insulin pumps. Taking care of youths from G1 was associated with a lifetime history of depressive disorder or suicidality. Our findings support the existence of individual, caregiver, and family functioning differences between T1D adolescents with vs. without CCPIs. Psychosocial interventions should consider the incremental burden that CCPIs may pose over these youth and their families.

Kellner's Symptom Questionnaire, a Highly Sensitive Patient-Reported Outcome Measure: Systematic Review of Clinimetric Properties

INTRODUCTION

Patient-reported outcomes (PROs) are of increasing importance in clinical medicine. However, their evaluation by classic psychometric methods carries considerable limitations. The clinimetric approach provides a viable framework for their assessment.

OBJECTIVE

The aim of this paper was to provide a systematic review of clinimetric properties of the Symptom Questionnaire (SQ), a simple, self-rated instrument for the assessment of psychological symptoms (depression, anxiety, hostility, and somatization) and well-being (contentment, relaxation, friendliness, and physical well-being).

METHODS

The PRISMA guidelines were used. Electronic databases were searched from inception up to March 2019. Only original research articles, published in English, reporting data about the clinimetric properties of the SQ, were included.

RESULTS

A total of 284 studies was selected. The SQ has been used in populations of adults, adolescents, and older individuals. The scale significantly discriminated between subgroups of subjects in both clinical and nonclinical settings, and differentiated medical and psychiatric patients from healthy controls. In longitudinal studies and in controlled pharmacological and psychotherapy trials, it was highly sensitive to symptoms and well-being changes and discriminated between the effects of psychotropic drugs and placebo.

CONCLUSIONS

The SQ is a highly sensitive clinimetric index. It may yield clinical information that similar scales would fail to provide and has a unique position among the PROs that are available. Its use in clinical trials is strongly recommended.

The Effects of Repetitive Transcranial Magnetic Stimulation on Anxiety in Patients With Moderate to Severe Traumatic Brain Injury: A Post-hoc Analysis of a Randomized Clinical Trial

Background: Traumatic brain injury (TBI) is one of the leading causes of neuropsychiatric disorders in young adults. Repetitive Transcranial Magnetic Stimulation (rTMS) has been shown to improve psychiatric symptoms in other neurologic disorders, such as focal epilepsy, Parkinson's disease, and fibromyalgia. However, the efficacy of rTMS as a treatment for anxiety in persons with TBI has never been investigated. This exploratory post-hoc analyzes the effects of rTMS on anxiety, depression and executive function in participants with moderate to severe chronic TBI. Methods: Thirty-six participants with moderate to severe TBI and anxiety symptoms were randomly assigned to an active or sham rTMS condition in a 1:1 ratio. A 10-session protocol was used with 10-Hz rTMS stimulation over the left dorsolateral prefrontal cortex (DLPFC) for 20 min each session, a total of 2,000 pulses were applied at each daily session (40 stimuli/train, 50 trains). Anxiety symptoms; depression and executive function were analyzed at baseline, after the last rTMS session, and 90 days post intervention. Results: Twenty-seven participants completed the entire protocol and were included in the post-hoc analysis. Statistical analysis showed no interaction of group and time (p > 0.05) on anxiety scores. Both groups improved depressive and executive functions over time, without time and group interaction (p _s < 0.05). No adverse effects were reported in either intervention group. Conclusion: rTMS did not improve anxiety symptoms following high frequency rTMS in persons with moderate to severe TBI. Clinical Trial Registration: www.ClinicalTrials.gov, identifier: NCT02167971.

The association of obesity and coronary artery disease genes with response to SSRIs treatment in major depression

Selective serotonin reuptake inhibitors (SSRIs) are first-line antidepressants for the treatment of major depressive disorder (MDD). However, treatment response during an initial therapeutic trial is often poor and is difficult to predict. Heterogeneity of response to SSRIs in depressed patients is partly driven by co-occurring somatic disorders such as coronary artery disease (CAD) and obesity. CAD and obesity may also be associated with metabolic side effects of SSRIs. In this study, we assessed the association of CAD and obesity with treatment response to SSRIs in patients with MDD using a polygenic score (PGS) approach. Additionally, we performed cross-trait meta-analyses to pinpoint genetic variants underpinnings the relationship of CAD and obesity with SSRIs treatment response. First, PGSs were calculated at different p value thresholds (P_T) for obesity and CAD. Next, binary logistic regression was applied to evaluate the association of the PGSs to SSRIs treatment response in a discovery sample (ISPC, N = 865), and in a replication cohort (STAR*D, N = 1,878). Finally, a cross-trait GWAS meta-analysis was performed by combining summary statistics. We show that the PGSs for CAD and obesity were inversely associated with SSRIs treatment response. At the most significant thresholds, the PGS for CAD and body mass index accounted 1.3%, and 0.8% of the observed variability in treatment response to SSRIs, respectively. In the cross-trait meta-analyses, we identified (1) 14 genetic loci (including NEGR1, CADM2, PMAIP1, PARK2) that are associated with both obesity and SSRIs treatment response; (2) five genetic loci (LINC01412, PHACTR1, CDKN2B, ATXN2, KCNE2) with effects on CAD and SSRIs treatment response. Our findings implicate that the genetic variants of CAD and obesity are linked to SSRIs treatment response in MDD. A better SSRIs treatment response might be achieved through a stratified allocation of treatment for MDD patients with a genetic risk for obesity or CAD.

Iron Deficiency and Risk of Maternal Depression in Pregnancy: An Observational Study

OBJECTIVE

Maternal depression during pregnancy can affect both the mother and her family. Although research has suggested that iron deficiency is associated with depression in the general population, this link has not been examined during the antenatal period. Our objective was to determine whether iron deficiency is associated with maternal depression during middle to late pregnancy.

METHODS

A retrospective study was conducted using the medical records of patients seen at the Women's Health Concerns Clinic at St. Joseph's Healthcare Hamilton in Hamilton, Ontario between 2009 and 2016. Women with serum ferritin data during middle to late pregnancy (>20 weeks' gestation) (N = 142) were categorized as either iron deficient (ferritin <12 µg/L) or iron sufficient. Edinburgh Postnatal Depression Scale (EPDS) scores and the odds of developing antenatal depression (EPDS ≥12) between the two groups were compared.

RESULTS

Iron deficient pregnant women scored significantly higher on the EPDS (10.14 ± 5.69 vs. 7.87 ± 5.75; P = 0.03) and were more likely to develop antenatal depression (45% vs. 25%; P = 0.02) compared with women who were not. The odds of developing antenatal depression were two and one half times higher among iron deficient women (adjusted OR 2.51; 95% CI 1.14-5.52).

CONCLUSION

These findings suggest that iron deficiency is associated with higher levels of depression during pregnancy. Although these results require replication, iron deficiency may be an important risk factor for maternal depression during pregnancy.

Royal Australian and New Zealand College of Psychiatrists clinical practice guidelines for mood disorders

OBJECTIVES

To provide guidance for the management of mood disorders, based on scientific evidence supplemented by expert clinical consensus and formulate recommendations to maximise clinical salience and utility.

METHODS

Articles and information sourced from search engines including PubMed and EMBASE, MEDLINE, PsycINFO and Google Scholar were supplemented by literature known to the mood disorders committee (MDC) (e.g., books, book chapters and government reports) and from published depression and bipolar disorder guidelines. Information was reviewed and discussed by members of the MDC and findings were then formulated into consensus-based recommendations and clinical guidance. The guidelines were subjected to rigorous successive consultation and external review involving: expert and clinical advisors, the public, key stakeholders, professional bodies and specialist groups with interest in mood disorders.

RESULTS

The Royal Australian and New Zealand College of Psychiatrists clinical practice guidelines for mood disorders (Mood Disorders CPG) provide up-to-date guidance and advice regarding the management of mood disorders that is informed by evidence and clinical experience. The Mood Disorders CPG is intended for clinical use by psychiatrists, psychologists, physicians and others with an interest in mental health care.

CONCLUSIONS

The Mood Disorder CPG is the first Clinical Practice Guideline to address both depressive and bipolar disorders. It provides up-to-date recommendations and guidance within an evidence-based framework, supplemented by expert clinical consensus.

MOOD DISORDERS COMMITTEE

Professor Gin Malhi (Chair), Professor Darryl Bassett, Professor Philip Boyce, Professor Richard Bryant, Professor Paul Fitzgerald, Dr Kristina Fritz, Professor Malcolm Hopwood, Dr Bill Lyndon, Professor Roger Mulder, Professor Greg Murray, Professor Richard Porter and Associate Professor Ajeet Singh.

INTERNATIONAL EXPERT ADVISORS

Professor Carlo Altamura, Dr Francesco Colom, Professor Mark George, Professor Guy Goodwin, Professor Roger McIntyre, Dr Roger Ng, Professor John O'Brien, Professor Harold Sackeim, Professor Jan Scott, Dr Nobuhiro Sugiyama, Professor Eduard Vieta, Professor Lakshmi Yatham.

AUSTRALIAN AND NEW ZEALAND EXPERT ADVISORS

Professor Marie-Paule Austin, Professor Michael Berk, Dr Yulisha Byrow, Professor Helen Christensen, Dr Nick De Felice, A/Professor Seetal Dodd, A/Professor Megan Galbally, Dr Josh Geffen, Professor Philip Hazell, A/Professor David Horgan, A/Professor Felice Jacka, Professor Gordon Johnson, Professor Anthony Jorm, Dr Jon-Paul Khoo, Professor Jayashri Kulkarni, Dr Cameron Lacey, Dr Noeline Latt, Professor Florence Levy, A/Professor Andrew Lewis, Professor Colleen Loo, Dr Thomas Mayze, Dr Linton Meagher, Professor Philip Mitchell, Professor Daniel O'Connor, Dr Nick O'Connor, Dr Tim Outhred, Dr Mark Rowe, Dr Narelle Shadbolt, Dr Martien Snellen, Professor John Tiller, Dr Bill Watkins, Dr Raymond Wu.

Evidence-based guidelines for treating depressive disorders with antidepressants: A revision of the 2008 British Association for Psychopharmacology guidelines

A revision of the 2008 British Association for Psychopharmacology evidence-based guidelines for treating depressive disorders with antidepressants was undertaken in order to incorporate new evidence and to update the recommendations where appropriate. A consensus meeting involving experts in depressive disorders and their management was held in September 2012. Key areas in treating depression were reviewed and the strength of evidence and clinical implications were considered. The guidelines were then revised after extensive feedback from participants and interested parties. A literature review is provided which identifies the quality of evidence upon which the recommendations are made. These guidelines cover the nature and detection of depressive disorders, acute treatment with antidepressant drugs, choice of drug versus alternative treatment, practical issues in prescribing and management, next-step treatment, relapse prevention, treatment of relapse and stopping treatment. Significant changes since the last guidelines were published in 2008 include the availability of new antidepressant treatment options, improved evidence supporting certain augmentation strategies (drug and non-drug), management of potential long-term side effects, updated guidance for prescribing in elderly and adolescent populations and updated guidance for optimal prescribing. Suggestions for future research priorities are also made.

Depression among older adults with diabetes mellitus

Older adults with Diabetes Mellitus (DM) experience greater risk for comorbid depression compared to those who do not have DM. Undetected, untreated or under-treated depression impinges an individual's ability to manage their DM successfully, hinders their adherence to treatment regime, and undermines provider-patient relationships. Thus, in the context of caring for older adults with DM, comorbid depression presents special challenges and opportunities for clinicians. In this article, we summarize the clinical presentation of late-life depression, potential mechanisms of comorbidity of depression and DM, importance of depression in the successful management of DM, and available best practice models for depression treatment.

Pain, not chronic disease, is associated with the recurrence of depressive and anxiety disorders

BACKGROUND

Studies suggest that poor physical health might be associated with increased depression and anxiety recurrence. The objectives of this study were to determine whether specific chronic diseases and pain characteristics are associated with depression and anxiety recurrence and to examine whether such associations are mediated by subthreshold depressive or anxiety symptoms.

METHODS

1122 individuals with remitted depressive or anxiety disorder (Netherlands Study of Depression and Anxiety) were followed up for a period of four years. The impact of specific chronic diseases and pain characteristics on recurrence was assessed using Cox regression and mediation analyses.

RESULTS

Chronic diseases were not associated with recurrence. Neck (HR 1.45, p < .01), chest (HR 1.65, p < .01), abdominal (HR 1.52, p < .01) pain, an increase in the number of pain locations (HR 1.10, p < .01) and pain severity (HR 1.18, p = .01) were associated with an increased risk of depression recurrence but not anxiety. Subthreshold depressive symptoms mediated the associations between pain and depression recurrence.

CONCLUSIONS

Pain, not chronic disease, increases the likelihood of depression recurrence, largely through its association with aggravated subthreshold depressive symptoms. These findings support the idea of the existence of a mutually reinforcing mechanism between pain and depression and are indicative of the importance of shedding light on neurobiological links in order to optimize pain and depression management.

Older adults with severe, treatment-resistant depression

Depression is a common, disabling, and costly condition encountered in older patients. Effective strategies for detection and treatment of late-life depression are summarized based on a case of a 69-year-old woman who struggled with prolonged depression. Clinicians should screen older patients for depression using a standard rating scale, initiate treatment such as antidepressant medications or evidence-based psychotherapy, and monitor depression symptoms. Patients who are not improving should be considered for psychiatric consultation and treatment changes including electroconvulsive therapy. Several changes in treatment approaches are usually needed before patients achieve complete remission. Maintenance treatment and relapse-prevention planning (summarization of early warning signs for depression, maintenance treatments such as medications, and other strategies to reduce the risk of relapse [eg, regular physical activity or pleasant activities]) can reduce the risk of relapse. Collaborative programs, in which primary care clinicians work closely with mental health specialists following a measurement-based treatment-to-target approach, are significantly more effective than typical primary care treatment.

Strategies to improve the management of depression in primary care

Effective management of depression in the primary care setting requires a systematic, population-based approach, which entails systematic case finding and diagnosis, patient engagement and education, use of evidence-based treatments, including medications and/or psychotherapy, close follow-up to ensure patients are improving, and a commitment to adjust treatments or consult with mental health specialists until depression is significantly improved. Programs in which primary care providers and mental health specialists collaborate effectively using principles of measurement-based stepped care and treatment to target can substantially improve patients' health and functioning while reducing overall health care costs.

Which health conditions impact on productivity in working Australians?

OBJECTIVE

To identify health conditions associated with productivity loss in working Australians, adjusting for comorbidity, demographics, and work-related characteristics.

METHODS

The Australian Work Outcomes Research Cost-benefit study cross-sectional screening data set was used to identify health-related productivity losses in a sample of approximately 78,000 working Australians. Data collected with the World Health Organisation Health and Productivity Questionnaire were analyzed using negative binomial logistic regression and multinomial logistic regression models for absenteeism and presenteeism, respectively.

RESULTS

Health conditions impacted on both presenteeism and absenteeism. Drug and alcohol problems and psychological distress had a greater impact on absenteeism and presenteeism than other investigated health conditions. Demographic characteristics, health status (comorbidity), and work-related characteristics all impacted significantly on both absenteeism and presenteeism.

CONCLUSION

Mental health conditions contributed more strongly to productivity loss than other investigated health conditions.

Medical and substance use comorbidity in bipolar disorder

OBJECTIVE

National Comorbidity Survey data indicate that bipolar disorder is characterized by high lifetime rates of co-occurring anxiety and substance use disorders (SUDs). Although compelling evidence suggests SUD comorbidity predicts non-response to treatment, the relationship between medical comorbidity and treatment response has not been studied adequately. In an attempt to understand the impact of medical comorbidity on treatment outcome, an analysis was conducted to inform the relationship between co-occurring medical illness, the phenomenology of bipolar disorder, and response to treatment with mood stabilizers.

METHOD

A total of 98 adult outpatients with rapid-cycling bipolar I or II disorder and co-occurring SUDs were prospectively treated with the combination of lithium and valproate for up to 24 weeks. A logistic regression analysis was conducted to explore the relationship between phenomenology, response to mood stabilizers, and medical comorbidity as assessed by the Cumulative Illness Rating Scale (CIRS). High and low medical comorbidity burden were defined as a CIRS total score > or = 4 and < or = 3, respectively.

RESULTS

Every patient enrolled into this study had at least 1 medical illness (most commonly respiratory, 72%) and on average had 4.9 different medical conditions. Over half of patients (52%) exhibited illnesses across four or more different organ systems, 24% had uncontrollable medical illnesses, and the mean overall total CIRS score was 5.56. The average body mass index (BMI) was 28.1 with 38% being overweight and 29% being obese. High medical burden was observed in 64% and was most strongly predicted by a diagnosis of bipolar I disorder (OR=34.9, p=0.002, 95%CI=3.9-316.1). A history of attempted suicide (OR=10.3, p=0.01, 95%CI=1.7-62.0), a history of physical abuse (OR=7.6, p=0.03, 95%CI=1.3-45.7) and advancing age (OR=1.2, p<0.001, 95%CI=1.1-1.3) also independently predicted a high burden of general medical problems. Only 21% (N=21) of subjects enrolled into this study showed a bimodal response to treatment with lithium plus valproate, and neither BMI nor any summary CIRS measure predicted response.

CONCLUSION

Rapid cycling with co-occurring substance use is not only associated with poor response to mood stabilizers, but is also a harbinger of serious medical problems. A high burden of medical comorbidity was associated with the bipolar I subtype, a history of attempted suicide, a history of physical abuse, and advancing age.

Clinical practice recommendations for depression

OBJECTIVE

To provide clinically relevant evidence-based recommendations for the management of depression in adults that are informative, easy to assimilate and facilitate clinical decision making.

METHOD

A comprehensive literature review of over 500 articles was undertaken using electronic database search engines (e.g. MEDLINE, PsychINFO and Cochrane reviews). In addition articles, book chapters and other literature known to the authors were reviewed. The findings were then formulated into a set of recommendations that were developed by a multidisciplinary team of clinicians who routinely deal with mood disorders. The recommendations then underwent consultative review by a broader advisory panel that included experts in the field, clinical staff and patient representatives.

RESULTS

The clinical practice recommendations for depression (Depression CPR) summarize evidence-based treatments and provide a synopsis of recommendations relating to each phase of the illness. They are designed for clinical use and have therefore been presented succinctly in an innovative and engaging manner that is clear and informative.

CONCLUSION

These up-to-date recommendations provide an evidence-based framework that incorporates clinical wisdom and consideration of individual factors in the management of depression. Further, the novel style and practical approach should promote uptake and implementation.

Relationship of general medical burden, duration of illness and age in patients with bipolar I disorder

OBJECTIVE

This study was aimed at evaluating general medical burden in a group of 111 patients with bipolar I disorder.

METHODS

Data were drawn from participants entering the Bipolar Disorder Center for Pennsylvanians (BDCP) protocol. General medical burden was assessed by completing the Cumulative Illness Rating Score (CIRS) from chart review.

RESULTS

The mean age of the sample was 42.1 (11.5), mean CIRS total score was 4.7 (2.9), and mean number of categories endorsed was 3.4 (1.7). Medical burden showed a positive relationship with increasing age and with duration of illness. CIRS scores and number of organ/system categories endorsed were significantly higher in patients with more than 21 years of illness than in patients with 0-9 years of illness (p<.0001) or with 10-20 years of illness (p<.0001). Medical burden was related to duration of illness even after controlling for age. The most frequently endorsed illness categories were cardiovascular disease, (with hypertension and hyperlipidemia being the most frequent conditions) and endocrine/metabolic (with obesity, thyroid dysfunction, and type 2 diabetes being the most common conditions).

CONCLUSIONS

Patients with bipolar disorder carry a substantial burden of general medical conditions, related to age and duration of illness. These results suggest that the development and testing of specific interventions that target medical risk factors and medical burden in patients with bipolar disorder are urgently needed, especially early in the course of the illness, when patients appear to accumulate medical comorbidity at a rapid rate.

Evidence-based guidelines for treating depressive disorders with antidepressants: a revision of the 2000 British Association for Psychopharmacology guidelines

A revision of the 2000 British Association for Psychopharmacology evidence-based guidelines for treating depressive disorders with antidepressants was undertaken to incorporate new evidence and to update the recommendations where appropriate. A consensus meeting involving experts in depressive disorders and their management was held in May 2006. Key areas in treating depression were reviewed, and the strength of evidence and clinical implications were considered. The guidelines were drawn up after extensive feedback from participants and interested parties. A literature review is provided, which identifies the quality of evidence to inform the recommendations, the strength of which are based on the level of evidence. These guidelines cover the nature and detection of depressive disorders, acute treatment with antidepressant drugs, choice of drug versus alternative treatment, practical issues in prescribing and management, next-step treatment, relapse prevention, treatment of relapse, and stopping treatment.

Rapid onset of antidepressant action: a new paradigm in the research and treatment of major depressive disorder

OBJECTIVE

Current therapeutics of depression are similar in their time to antidepressant action and often take weeks to months to achieve response and remission, which commonly results in considerable morbidity and disruption in personal, professional, family, and social life, as well as risk for suicidal behavior. Thus, treatment strategies presenting a rapid improvement of depressive symptoms--within hours or even a few days--and whose effects are sustained would have an enormous impact on public health. This article reviews the published data related to different aspects of rapid improvement of depressive symptoms.

DATA SOURCES

Literature for this review was obtained through a search of the MEDLINE database (1966-2007) using the following keywords and phrases: rapid response, antidepressant, time to, glutamate, sleep, therapeutics, latency, and depression. The data obtained were organized according to the following topics: clinical relevance and time course of antidepressant action, interventions showing evidence of rapid response and its potential neurobiological basis, and new technologies for better understanding rapid anti-depressant actions.

DATA SYNTHESIS

A limited number of prospective studies evaluating rapid antidepressant actions have been conducted. Currently, only a few interventions have been shown to produce antidepressant response in hours or a few days. The neurobiological basis of these rapid antidepressant actions is only now being deciphered.

CONCLUSIONS

Certain experimental treatments can produce antidepressant response in a much shorter period of time than existing medications. Understanding the molecular basis of these experimental interventions is likely to lead to the development of improved therapeutics rather than simply furthering our knowledge of current standard antidepressants.

One extra month of depression: the effects of caregiving on depression outcomes in the IMPACT trial

BACKGROUND

Depression occurs in 5-10% of older adults and there are nearly 6 million informal caregivers aged 65 or older. Prior research has focused on vulnerability to psychological distress in caregivers. Research has not addressed the caregiving burden of depressed elderly patients or how that burden affects depression treatment outcomes.

AIMS

To describe the self-reported caregiving burden in a large, representative cohort of depressed elderly patients and compare depression treatment outcomes between caregivers and non-caregivers.

METHODS

Univariate and multiple regression analyses were performed comparing 24-month depression outcomes (measured as depression free days) in those providing care at any time over the 24-month trial to those who never reported a caregiving burden.

RESULTS

At 3, 6, 12, 18, and 24 months, nearly 10% of cohabitating elderly depressed patients provided care for basic activities such as bathing or dressing while nearly 20% reported providing care for other activities such as making phone calls or taking medication. Over 24 months, after adjusting for marital status, intervention status, and number of medical comorbidities, those reporting any caregiving burden had over 30 more days with depression compared to those with no caregiving burden. The IMPACT collaborative care model did not modify the effect of caregiving on depression outcomes.

CONCLUSION

Caregiving is common in depressed older adults and appears to affect response to depression treatment. In the future, interventions for depressed older adults should consider and specifically address caregiving activities in addition to specific depression treatment.

Clinical factors associated with relapse in primary care patients with chronic or recurrent depression

BACKGROUND

Because in most patients depression is a relapsing/remitting disorder, finding clinical factors associated with risk of relapse is important. The majority of patients with depression are treated in primary care settings, but few previous studies have examined predictors of relapse in primary care patients with recurrent or chronic depression.

METHODS

Data from a cohort of 386 primary care patients in a clinical trial were analyzed for clinical and demographic predictors of relapse over a one-year post-study observational period. Patients were selected for a high risk of relapse, based on a history of either 3 previous depressive episodes or dysthymia, and enrolled in a randomized trial of relapse prevention.

RESULTS

Factors found to be associated with significantly higher risk of relapse included poorer medication adherence in the 30 days prior to the trial, lower self-efficacy to manage depression, and higher scores on the Child Trauma Questionnaire.

LIMITATIONS

Use of a sample of limited diversity taken from a clinical trial, and use of retrospective information from patients with potential for recall bias.

CONCLUSIONS

The findings of this report suggest specific risk factors to be targeted in depression relapse prevention interventions. It is encouraging that two of the factors associated with increased risk of relapse, self-efficacy and medication adherence have been seen to improve with the intervention utilized in the primary care trial from which the studied cohort was drawn.

Treating depression in the medically ill

Depression frequently is comorbid with a variety of medical illnesses; individuals who have such comorbidities may have increased morbidity and lower functional status. Usual antidepressant treatments can be effective in depressed patients who have comorbid medical illness. These patients, however, experience lower rates of recovery and remission of depressive symptoms and higher rates of relapse during follow-up than seen in patients who have MDD with no medical comorbidity. Comorbid medical illness therefore is a marker of treatment resistance in MDD. Collaborative treatments combining antidepressants, psychotherapy, education, and case management may be effective and could overcome the risk of treatment resistance. Two clinical strategies seem warranted in light of the studies presented here: (1) an increased index of suspicion for depression in medically ill patients, and (2) more intensive antidepressant treatment in depressed patients who have medical comorbidity.

Adequate initial antidepressant treatment among patients with chronic obstructive pulmonary disease in a cohort of depressed veterans

OBJECTIVE

Depression is common among patients with chronic obstructive pulmonary disease (COPD). Patients with COPD may be more likely to have inadequate treatment with antidepressant medications. We tested the hypothesis that depressed patients with COPD have lower odds of adequate duration of antidepressant therapy in the first 3 months of treatment compared to those without COPD.

METHOD

Using administrative and centralized pharmacy data from 14 northeastern Veterans Affairs Medical Centers, we identified 778 veterans with depression (ICD-9-CM codes 296.2x, 296.3x, and 311.xx) who were in the acute phase of antidepressant treatment from June 1, 1999, through August 31, 1999. Within this group, we identified those patients with COPD (23%). An adequate duration of antidepressant treatment was defined as ≥ 80% of days on an antidepressant. We used multivariable logistic regression models to determine the adjusted odds of adequate acute phase antidepressant treatment duration.

RESULTS

Those patients with COPD had markedly lower odds of adequate acute phase treatment duration (odds ratio = 0.67, 95% CI = 0.47 to 0.96); this was not observed with other medical diagnoses such as coronary heart disease, diabetes mellitus, or osteoarthritis.

CONCLUSIONS

The first few months of treatment appears to be a critical period for depressed patients with COPD who are started on antidepressants. The causes for early antidepressant treatment inadequacy among patients with COPD require further investigation. More intensive efforts may be necessary early in the course of treatment to assure high-quality pharmacologic therapy of depressed patients with COPD.

Impact of medical comorbid disease on antidepressant treatment of major depressive disorder

A major factor in evaluating and treating depression is the presence of comorbid medical problems. In this paper, the authors will first evaluate studies showing that medical illness is a risk factor for depression. The authors will review a series of randomized, controlled studies of antidepressant treatment in subjects with major depressive disorder (MDD) and comorbid medical illnesses (myocardial infarction, stroke, diabetes, cancer, and rheumatoid arthritis). Most of these studies report an advantage for an active antidepressant over placebo in improvement of depressive symptoms. The authors also will review a series of studies in which the outcome of antidepressant treatment is compared between subjects with MDD with and without comorbid medical illness. In these studies, subjects with medical illness tend to have lower improvement of depressive symptoms and higher rates of depressive relapse with antidepressant treatment compared with MDD subjects with no medical comorbidity. In addition, the authors will review hypotheses on the mechanism of the interaction between medical illness and clinical response in MDD. The paper will conclude that medical comorbidity is a predictor of treatment resistance in MDD.