Home
Clinical
Research
Education
Grand Rounds
Faculty

Informatics

Links

 

 

 

      QUEST - Depression 

Depression


AUTHOR
Jennifer S. Segura 

Selective Publication of Antidepressant Trials

Chairman’s Rounds, January 28, 2008   

Citation: Turner E, Matthews A, Linardatos E, et al. Selective Publication of Antidepressant Trials and Its Influence on Apparent Efficacy. N Engl J Med 2008; 358: 252-260.

Clinical Question: Based on comparison of drug efficacy inferred from published literature with drug efficacy according to FDA reviews, how accurately do the published literature and a study’s design convey data on drug efficacy to the medical community? 

Background Info: EBM is valuable to the extent the evidence base is complete and unbiased. Selective publication of clinical trials and the outcomes of those trials can lead to unrealistic estimates of drug effectiveness and alter the apparent risk-benefit ratio, which in turn affects treatment decisions of health care professionals. To assure scientific rigor, FDA requires prospective identification of methods and analysis.   

Validity Criteria for Reviews and Meta-Analysis:

     Did the review explicitly address a sensible clinical question? Yes, see above

     Was the search for relevant studies detailed and exhaustive? Yes, multiple search strategies and attempts at contact were made

     Were relevant studies likely to be omitted? No, though only FDA reviewed studies included. Multiple study articles excluded.

     Were the primary studies of high methodological quality? Yes, FDA study protocols used. (Prospectively identifies exact methodology and analysis to prevent selective post hoc reporting of favorable trials and outcomes within those trials.)

     Were the author’s assessments of the primary studies reproducible? Yes, based on FDA regulatory decisions (positive or non-positive) and author interpretation of corresponding published study’s results (positive or non-positive)

Relevant Criteria for Systematic ReviewithMeta-analysis

     Data Sources: FDA registry and results database; published pharmaceutical company articles of single drug trials

     Study Selection Criteria:

     FDA-Reviewed:

     Phase 2 and 3 clinical trials of 12 FDA approved antidepressants (1987-2004), incl 12,564 adults.

     Extracted all RCT efficacy data on approved dosages of drugs for short term tx of depression.

     Extracted FDA’s regulatory decisions--positive or non-positive based on prespecified primary outcomes. Questionable studies grouped with non-positive trials. Fixed dose studies grouped based on FDA’s overall decision.

     Journal Articles:

     Multiple databases searched and extensive attempts to contact PI. If no response, then assumed unpublished.

     Best match used drug name, dose groups, sample size, active comparator, duration, PI. Individual study and first publication only. 

     Primary efficacy outcome was drug-placebo comparison reported first in text of results section or in table or figure first cited in text.

     Primary Outcome: Categorize trials on basis of FDA regulatory decision (positive or nonpositive with regard to placebo) and whether the studies were published.

     Secondary Outcome: Compare effect size in published reports with effect size in FDA-reviewed data set. Compare published primary outcome with FDA decision and whether/how it was published.

     Analysis: Risk ratio, chi-square, Wilcoxon rank-sum, Hedge’s g, weighted mean effect size, nonparametric rank sum, signed rank sum

Main Results: See Figures 1 and 3

     Positive FDA studies 12x as likely to be published as non-positive FDA studies (Risk Ratio 11.7; 95% CI, 6.2 to 22.0; P<0.001)

     48 of 51 published studies pos (94%; binomial 95% CI, 84-99). 38 of 74 FDA studies pos (51%; 95% CI, 39-63). No CI overlap

     Overall mean weighted effect size value = 0.37 for published studies and 0.15 for unpublished studies.

     Journal article effect size exceeded FDA effect size, ranging from 11 to 69% increase, median increase of 32%. Weighted mean effect size for all drugs combined was also 32% (from 0.31 (95% CI, 0.27 to 0.35) to 0.41 (95% CI, 0.36 to 0.45)). No CI overlap. 

Conclusions: There is a bias toward publication of positive studies, and even negative studies were often published to convey a positive outcome using secondary outcome data. Data analysis based on FDA reviewed positive studies and their effect size showed less antidepressant efficacy than published literature alone. Per published literature, nearly all antidepressant trials were positive vs. FDA analysis with roughly half of trials positive. As a result of selective reporting, published literature conveyed an effect size almost 1/3 larger than the effect size derived from FDA data. Based on FDA overall mean weighted effect size, NNT with antidepressants is 7.

Limitations: Pharmaceutical co. sponsored FDA trials only; did not account for other factors that distort apparent risk-benefit ratio;  excluded articles with multiple studies, so some studies marked as unpublished may have actually been published. Also nonsignificance in one trial does not necessarily indicate lack of efficacy. Each drug was superior to placebo in study’s meta-analysis, though true magnitude is less than published lit review would indicate. It should be noted that both antidepressants and placebo have significant clinical effects on pts with depression.  

SynopsisThis review comparing 74 FDA reviewed RCTs of antidepressants and matched published industry-sponsored RCTs finds evidence of publication bias toward positive studies leading to inaccurately increased effect size in published literature, which may have negative consequences for physicians, patients, researchers, and study participants.  The effect of selection bias influences prescribing practices, for example, average wholesale price of Lexapro is $106.67/mo x 12mos x 12,564 pts in study = $16,081,920/yr. Publication bias raises questions about the ability to trust in pharmaceutical industry and medical journal reporting of trials and renews pressure for more rigorous clinical research and reporting. It also calls into question the ethics of not publishing human research.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Return to top of the page


AUTHOR
Leigh Fylstra

Augmentation of antidepressants

Chaiman’s Rounds, September 17, 2007

Reference: Papakostas GI. Shelton RC. Smith J. Fava M. Augmentation of antidepressants with atypical antipsychotic medications for treatment-resistant major depressive disorder: a meta-analysis.  Journal of Clinical Psychiatry. 68(6):826-31, 2007 Jun.

Clinical Question:  According to the article, atypical antipsychotics (AAP) are used as off label adjuvant treatment for treatment-resistant depression (TRD), and only recently double-blind RCTs have assessed the efficacy and tolerability of augmentation with atypicals.  The goal of the study is to evaluate he RCTs by systematic review and meta-analysis in an effort to determine whether the use of AAP is efficacious and tolerable as adjuvant treatment in patients with TRD.

Description of intervention:  addition of atypical antipsychotic (Olanzapine, Risperidone, Quetiapine) or placebo to patients with TRD who were already on a “standard” anti-depressant:  Fluoxetine, an “SSRI/SNRI,” or “various” other anti-depressants.

Validity Criteria for Systematic Review/Meta-Analysis:

  • Review did explicitly address a sensible clinical question which was focused and narrow in scope.  However, criteria for treatment resistant depression was not defined, as well as doses or length of treatment of anti-depressants prior to “resistance.”
  • Search for relevant studies was detailed and exhaustive.  EMBASE, Cochrane database, articles presented at scientific meetings, clinical trial results registries or direct contact with makers of atypicals, and unpublished studies were searched.  However, ultimately only 3  peer-reviewed studies from MEDLINE/pubmed and 7 from reports at scientific meetings met criteria.
  • No studies appeared to be omitted due to illegitimate reasons
  • Methodological quality of the primary studies is unknown.  No info on the evaluation of validity was discussed.  Therefore, we cannot determine the quality of the studies used, which is a big limitation.  Studies used may have been pharma sponsored and 7 of the 10 were unpublished studies not peer-reviewed
  • Author’s assessments of the primary studies appeared reproducible, as they used a pre-coded form to extract data, which is standard and good practice.  However, the number of raters was not discussed, so the assumption is only one rater was used, which gives more chance or random errors or systematic bias.
  • Study results were homogenous.  Fig 1: CI’s consistently overlap and do not differ significantly.  No huge outliers in either direction exists, so pooling the data is appropriate.  Tests of results showed no heterogeneity, but this study only tested outcome measures: response & remission rates.  Thus, the results may be homogenous between the studies, but the actual components of the studies may differ.  No details about differences are given concerning patients, methodology, or interventions (doses of SSRI/SNRI or Atypicals)

Relevant criteria for Systematic Review/Meta-analysis:

  • Data Sources: 3 peer-reviewed studies and 7 articles from scientific meetings
  • Study Selection Criteria:  Double-blind, randomized placebo-controlled trials of atypical augmentation of pt’s with TRD
  • Patient population: Inclusion:  Treatment-resistant major depressive disorder in the acute phase only who were on a standard anti-depressant.  Exclusion: psychotic symptoms, dysthymic disorder, SAD, substance abuse, bipolar disorder, Depression d/t medical condition
  • Main outcome measures:  determined a priori
    • Primary:  HAM-D or MADRAS scores (response rate = 50% reduction, remission was different: HAM-D <8, MADRAS <9-11
    • Secondary:  overall discontinuation rate, discontinuation d/t inefficacy, and discontinuation d/t adverse effects

Main outcome results:

  • Primary: 
    • Pooled Remission rates: 47.4% (atypicals) vs 22.3% (placebo), RR 1.75 (95% CI = 1.36 to 2.24, p < .0001)
    • Pooled response rates:  57.2% (atypicals) vs 35.4% (placebo), RR 1.35 (95% CI = 1.13 to 1.63, p = .001)
  • Secondary: 
    • discontinuation overall: no difference
    • d/t inefficacy: no difference
    • d/t AE: lower among placebo treated (RR = 3.38, 95% CI = 1.98 to 5.76, p < .0001)

Conclusions:  This systematic review/ meta-analysis evaluates the efficacy and tolerability of augmentation with atypicals to standard antidepressant medication for treatment-resistant depression.  According to the authors, the adjunctive treatment appears to have potential efficacy but limited tolerability.  Results showed greater remission and response with atypicals vs placebo, but also revealed a three-fold greater discontinuation rate due to side effects with atypicals (sedation, EPS, TD, weight gain/metabolic syndrome, hyperprolactinemia);  thus, the authors do not explicitly recommend the strategy of atypical augmentation.

            Multiple limitations of this review should raise caution when drawing definitive conclusions from the results.   The major limitation is lack of analysis of methodology or validity criteria of studies used; 7 of the 10 studies were from scientific meetings, which were unpublished and likely not peer-reviewed.  Another problem is the lack of detail regarding the specific SSRI/SNRIs used, doses, or length of treatment prior to determining treatment resistance.  In fact, specific criteria for TRD was not explicitly stated.  Doses of atypicals also remained undefined.  The definition of response was similar in all studies, but some differed in definition of remission:  table 1 shows some studies considering remission as MADRAS <9, while others defined remission as MADRAS <11.  Additionally, the longest study was only 12 weeks, so no data exists for further duration of effects.

The researchers acknowledged several other limitations.  One cannot generalize the results to all atypicals, because only olanzapine, risperidone, and quetiapine were studied.  No information is known about aripiprazole or ziprasidone.    Furthermore, no information exists comparing atypical augmentation with currently proven adjuvant treatments (Bupropion, Mirtazapine, Mianserin, Buspirone, Liothyronine, S-adenosylmethionine, folic acid, modafinil, lithium, or CBT).   

Synopsis:  Despite the many limitation of this systematic review of 10 RCTs evaluating AAP augmentation to TRD, it does appear that atypicals may have efficacy as adjuvant treatment to SSRI/SNRIs but tolerability is limited; therefore, definitive conclusions of efficacy cannot be inferred form this study, and further research is warranted to compare atypicals to current adjuvant treatments.                                      

Return to top of the page


AUTHOR
Jennifer Holton 

Bipolar Depression 

Chairman’s Rounds, September 10, 2007                                                                             

Citation:  Frye MA, Heinz G, Suppes T, McElroy SL, Keck PE, et al. “A Placebo-Controlled Evaluation of Adjunctive Modafinil in the Treatment of Bipolar Depression.” American Journal of Psychiatry. 2007; 164: 1242-1249.

Clinical Question: 
Is adjunctive Modafinil efficacious and safe in the acute management of treatment-resistant bipolar depression?

Background Info for Modafinil:  FDA-approved for improving wakefulness in sleep disorders.  Efficacious in the treatment of ADHD.  May decrease cocaine use in cocaine-dependent patients (w/ CBT).  Primary outcome measures have generally been negative in studies of unipolar depression in which modafinil is used for antidepressant augmentation/acceleration, but secondary measures of clinical global improvement and rapid reduction in fatigue/sleepiness have suggested some benefit.

Methods:
Design:
Double-blind, randomized, 6 week, placebo-controlled trial

Setting:  Multi-site study; academic settings and community mental health centers (4 sites – 3 in the US, 1 in Germany)

Patients/Population:

Enrollment:  120 screened; 30 excluded; 90 randomized; 85 analyzed (N=41 for modafinil group, N=44 for placebo group)

Inclusion Criteria:  18-65 yr olds; Bipolar I or II depression (dx by SCID – kappa of 0.92); Moderate symptom severity (IDS > 16); Inadequately responsive to a mood stabilizer +/– concomitant antidepressant therapy

Exclusion Criteria:  Concurrent use of nefazodone or MAOI; Active suicidality; Active psychosis; Current substance abuse/dependence; Unstable general medical condition; Clinically relevant baseline lab abnormality; ECG evidence of ischemia or ventricular hypertrophy; History of stimulant-induced mania; Baseline sleep pattern of <6 hrs/night

Treatment Protocol:  All medications at stable doses for at least 2 wks prior to randomization; held constant during the trial.  Patients randomized to Modafinil or Placebo at 100mg daily x 1 week, then 100mg BID for wks 2-6; in cases of early clinical response or adverse effects, the dose could be reduced.  Evaluations performed at baseline and then weekly for the 6-week trial.

Outcomes:  Primary:  Baseline-to-endpoint change in IDS Score (30-item clinical rating scale rating the severity of depression on 0-90 scale).

Secondary:  Clinical response (50% reduction in IDS score at end of 6-week trial); Remission (final IDS score <12); Baseline-to-endpoint change on a subset of four IDS questions assessing fatigue and energy-related symptoms; Treatment-emergent mania/hypomania (YMRS >13); Mood destabilization (CGI-BP improvement score of 6 or 7); Fatigue/Sleepiness (Fatigue Severity Scale; Epworth Sleepiness Scale)  

Therapy Validity Criteria:
Randomization/Blinding:
 
Double-blind randomization

Intention to treat:  Patients were analyzed in the groups to which they were randomized as long as they received at least 1 medication dose and had at least one set of ratings after randomization.  As such, data for 85 of the 90 randomized patients were analyzed.

Similar groups:  Patients in the treatment and control groups were similar at baseline with the exception that more patients in the modafinil group were receiving sedative-hypnotics such as clonazepam, lorazepam, and zolpidem.  There were also more patients with Bipolar I diagnoses in the modafinil group, but this was not statistically significant.

Equal treatment:  Aside from the intervention, groups were treated equally in that all patients were on a mood stabilizer and were allowed to receive ongoing adjunctive antidepressant therapy, but the mood stabilizers and antidepressants were not standardized in terms of dosing, class/type of medication, or duration of treatment. 

Follow-up:  5 patients were lost to follow-up and not included in the analysis (3 did not meet inclusion criteria but inadvertently received a randomization number; 2 dropped out after the baseline randomization but before the first treatment visit) 

Main Results:

Primary Outcome:  Baseline-to-endpoint change in IDS Score was approximately 11 in the Modafinil group and approximately 6 in the placebo group (p=0.04; medium effect size=0.47).  Concomitant antidepressant therapy did not contribute to the difference in outcome between groups.

Secondary Outcomes:  Clinical response (43.9% vs 22.7%, χ2=4.31, p=0.038) and remission rates (39% vs 18%, χ2=4.55, p=0.033) were significantly higher in the modafinil group than in the placebo group.  Baseline-to-endpoint change on the four-item fatigue-and-energy subset of the IDS (p=0.01; medium effect size=0.56) and the depression severity score from the CGI-BP (p=0.005, medium effect size=0.63) were significantly reduced in the modafinil group compared with the placebo group.  No significant differences between groups at endpoint in YMRS score, treatment-emergent mania or hypomania, Epworth Sleepiness Scale score, or Fatigue Severity Scale score.

Important Adverse Events:  1 patient in each group required hospitalization for mania; 1 patient in the modafinil group required hospitalization for depression; 1 depression exacerbation in the placebo group; minimal medication side effects 

Comments:  Strengths of the study: well-designed; included community mental health centers and academic centers; used a drug that had not been studied before for this particular use.  Weaknesses of the study: unclear as to what ‘inadequate response’ to mood stabilizer meant in this study; mood stabilizers and adjunctive antidepressants were not standardized in terms of dosing, type of medication, or duration of treatment; was only a six-week study so did not address maintenance therapy; small N; exclusion criteria included suicidality, active substance abuse, active psychosis, and history of stimulant-induced mania; IDS score as primary outcome (meaningfulness of outcomes; more sensitive than similar scales – may have more false positives, may exaggerate benefits of modafinil); lack of confirmatory studies. 

Bottom Line:  This 6-week double-blind RCT of 85 patients with Bipolar Depression inadequately responsive to a mood stabilizer +/–concomitant antidepressant therapy suggests that adjunctive modafinil at doses of 100-200mg daily may improve depressive symptoms (medium effect size) without contributing to mood destabilization and with few adverse effects.   The study size was small, however, and the approximately 3 psychotropic medications that patients were receiving were not standardized.  Since modafinil showed comparable efficacy to other available treatments that have been well-studied, it may be prudent to await confirmatory studies before starting patients on adjunctive modafinil. 

 

Return to top of the page


AUTHOR
Monica Slubicki, MD 

Externalizing and Attentional Behaviors in Children of Depressed Mothers 

Chairman’s Rounds, August 27, 2007 

Citation: Oberlander et al. Externalizing and Attentional Behaviors in Children of Depressed Mothers Treated With a Selective Serotonin Reuptake Inhibitor Antidepressant During Pregnancy. Arch Pediatr Adolesc Med. 2007;161:22-29. 

Clinical Question: Is prenatal SSRI exposure associated with increased externalizing behaviors, increased activity level, and increased aggressive behaviors in 4 to 5 year old children? 

Terms:
PNA:
Poor neonatal adaptation is a syndrome including respiratory distress, irritability, jitteriness, and increased rate of admission to special care nursery after birth. Mechanism not yet understood --  the symptoms may result either from SSRI withdrawal or a type of serotoninergic syndrome.

Externalizing Behaviors: A grouping of behavior problems that are manifested in children’s outward behavior and reflect the child negatively acting on the external environment.  In the research literature, these externalizing disorders consist of disruptive, hyperactive, and aggressive behaviors. 

Background:
Maternal mental illness has been well established to be a risk factor to the fetus and developing child and has been shown to affect childhood attention, emotion, and arousal regulatory disorders.  The long lasting effects of maternal use of SSRI’s in pregnancy remains under investigation. One study by these authors found altered pain reactivity in neonates and increasingly difficult temperament at age 3 months among infants exposed to SSRIs and benzodiazepine. The authors hypothesized that these outcomes reflect altered serotonin-mediated processes, and that these may persist and may be expressed in the areas of attention, activity, impulsiveness, defiance, compliance, problem solving, task persistence, and control issues.
 

Study Design Type: Prospective Cohort Study

Setting: Reproductive Mental Health Program at British Columbia Women’s Hospital, Vancouver.  Academic Center?

Population/Patients: 46 SSRI and 24 control originally w/ 22 SSRI and 14 control in follow-up. Originally, SSRI cases were mothers treated for mood and/or anxiety disorders taking paroxetine, sertraline, fluoxetine during pregnancy. Controls were non psychotropic using mothers with no history of mental illness. Mother average age 32. In follow-up, child age 4-5, over 50% in pre-school. 18% of SSRI and 50% control group in daycare. Equal percentage (7-9%) reporting behavioral diagnosis.  Poor description of inclusion and exclusion criteria.

Exposures: The SSRI group was exposed to either fluoxetine, paroxetine, or sertraline in pregnancy. Some were also exposed to clonazepam. The duration of exposure was variable. Dosing was variable (see Table 2). Previous article said majority were also breast fed but did not give details. As part of evaluation, children were observed in one-way mirror and videotaped. These results were coded by one psychiatrist, blinded, and reliability was checked.

Outcomes: Outcomes were determined a priori and were: (a) externalizing behaviors of attention and aggression (questionnaires), (b) activity and aggression levels (clinician observed). Previously collected during labor and delivery were umbilical cord blood samples for antidepressant levels.

Follow-up Period: Follow-up period was approximately 4+ years from prenatal exposure (length of exposure was variable during the pregnancies)

Question Type: HARM

Validity Criteria: “SSRI” and “control” groups differed also in maternal diagnosis of mental illness.  The outcomes were measured the same way in both groups. The person doing the evaluation of childhood behavior was blinded and was one single psychiatrist. Follow-up was not very complete, with the high rate of drop-out, but demographic characteristics of drop outs were similar to those staying in the study. There was an extended period of time between exposure and outcome. Dose-response gradients were not investigated, although duration of exposure was investigated.  

Main Results: 
Regression Model:

To predict parental report of externalizing behavior: SSRI exposure, maternal mood (significant), prenatal clonazepam exposure, a history of PNA, and umbilical cord drug levels

Regression Model:

To predict laboratory-observed aggressive behavior: PSI (stress) score, PNA. [overall model significant, neither independently significant]

·         Externalizing behaviors did not differ between SSRI-exposed and non-exposed groups

o        Relative Risk for score >60 of externalizing behavior in SSRI group was 2.2

·         Current maternal mood symptoms were associated with increased externalizing behaviors by maternal (not teacher) report

·         Maternal mood symptoms 2 months postpartum did not predict child behavior or activity at 4 years of age

·         The persistence score for child behavior was lower in the exposed group

·         Increased externalizing behaviors were associated with increased SSRI umbilical cord drug levels, but levels only accounted for 11.2% of behavioral outcomes when controlling for maternal depressed mood

·         A history of PNA was associated with increased aggressiveness, although neither this nor increased parental stress was a unique (significant) predictor of this behavior

Conclusions:
Criticisms:

Control: should have been non medicated depressed cohort followed more closely over time.

Better documentation on characteristics of the initial SSRI and control subjects

Investigation into dose-dependent effects of SSRI’s on the prenatal and developing brain

Behavioral data collection done over time with these children and in many different contexts. 

Improve follow up (only 50%)

Questions:
Who were the drop outs and could they have affected the results discriminately?

Are there other factors that should have been added to the regression models?  (day care)

The SSRI treated mothers in this study could have suffered from a type of bias, since they were the ones to identify their children as having externalizing behaviors. The results could have reflected the mother’s opinions (or a recall bias) rather than the true behavior of the child.

Overall, the study could not find an association between prenatal SSRI treatment and prenatal depressed mood and externalizing behaviors in 4 year old children.  They were uncertain about the contribution of PNA in predicting these behaviors, but did have a statistically significant model.

Synopsis:
In this prospective, 4 year follow-up study of 70 children there was no statistically significant difference in externalizing behaviors between children exposed to SSRIs prenatally and those who were not exposed.  Current maternal mood was associated with increased externalizing behavior. Increased aggressiveness was associated with a history of poor neonatal adaptation, although this was not statistically significant. The study’s control group differed from the case group both in terms of exposure to SSRIs as well as other important characteristics, such as state of maternal mental health, that could have affected study results. Children could have been evaluated more comprehensively over a longer time period.

Return to top of the page


 

AUTHOR

Gregory Weiss

Childhood Sibling Relationships as a Predictor of Major Depression in Adulthood 

Chairman’s Rounds, June 11, 2007

Clinical Question: Are childhood sibling relationships important predictors of depression later in life?

Reference: Waldinger, RJ, Vaillant, GE, and Orav, EJ. 2007. Childhood Sibling Relationships as a Predictor of Major Depression in Adulthood: A 30-year Prospective Study. AJP 164:6, June 2007.

Background:  Parental relationships have long been thought to be the most important emotional relationships in a child’s early years. Children typically experience intense relationships with siblings, making them among the most emotionally salient relationships in a child’s development. While childhood adversity of various kinds, notably neglect/poor care due to illness, death or divorce, has been implicated in later life depression, the strength and quality of relationships in early childhood has never been studied in a systematic, longitudinal way.                                               

Methods:
Design/Setting  -
Prospective, cohort study of 268 college aged white men who were followed for 30 years.
Inclusion criteria – college sophomores between 1939 and 1942, perceived by their deans as “likely to become successful adults.”
Exclusion criteria –no physical or mental health problems
Population – 268 selected, 12 dropped out of study before finishing college, 8 killed in WWII, 19 dropped because their outcome data for depression was inconclusive
Protocol – On entering the study, assessed by internists, psychiatrists, psychologists and anthropologists. Completed questionnaires every 2 years up until the present. Interviewed by study staff at ages 25, 30 and 50. Independent raters assessed quality of relationship with siblings and parents and rated each a 0, 1, or 2. Ratings added together for a 1-5 scale for each relationship. An extensive social history was taken and death of a parent in childhood or a family history of depression was given a “yes” or “no” rating.
Outcomes  - All data were assessed by a clinical research psychiatrist and rated for presence or absence of depression. Criteria used were any 3 of the following: 1) self-report of 2+ weeks of depression, 2) clinical diagnosis of depression given by a non-study clinician, 3) received antidepressant medication, 4) anergia or decreased concentration for 2+ weeks, 5) neurovegetative signs or depression, 6) attempted or completed suicide, 7) sustained anhedonia or,  8) psychiatric hospitalization for reasons other than alcohol abuse.

Analysis -  Chi-square trend tests to determine relationship of depression to variable, t-tests to test for confounders due to mean birth order and mean number of siblings. Binary regression with terms chosen that were significant in the univariate analysis (with quality of parenting added).

Validity:
1) Comparison groups similar other than exposure of interest? –  yes. All upper class educated white men enrolled in a university and chosen based on good physical and mental health..
2) Exposures and outcomes measured similarly in both groups? – yes.
3) Follow-up sufficiently long and complete? yes. Only 20 drop-outs after 30 years. Some missing data on drugs and alcohol (see Table 2).          
4) Temporal relationship corrent? – yes. Exposure preceded outcome.
5) Groups treated equally ? – yes.             
6) Dose-response gradient? – yes. Relationships grouped into 3 levels with outcome checked for all 3. 

Results: (See Table 2)
-Poorer relationships with siblings prior to age 20 and a family history of depression independently predicted both the occurrence of major depression and the frequency of drug use by age 50.
-Poor relationships with parents did not predict the occurrence of depression by age 50.
-Quality of sibling relationships and family history did not predict alcohol abuse or dependence.

1)       “…consider two men, one with and the other without a family history of depression, and both with average-quality relationships with parents and siblings, the one without a family history of depression would have a 3.9% chance of developing depression, whereas the one with a family history of depression would have a 13.5% chance of developing depression.”

2)       “consider two men, one with relatively good relationships with his siblings and the other with relatinvely poor relationships with his siblings, and both with average-quality relationships with parents and no family history of depression, the one with better sibling relationships would have a 2.3% chance of developing depression , whereas the one with poor sibling relationships would have a 9.9% chance of developing depression.”

3)       “Finally, if we consider a man who had parenting of average quality but relatively poor relationships with his siblings and a family history of depression, his risk of depression is 30%” 

Comments: 
Strengths
30 years of longitudinal follow-up. Homogeneous groups. Impressive follow-up.
Weaknesses-
Did not use categorical definition of depression, 19 people not included in analysis, difficult to accurately stratify exposure in meaningful way, Very homogeneous study population helps validity but compromises generalizability (i.e., maybe parenting was generally good in the entire population which prevented there from being a difference in depression due to this factor?), why did the data only come out now when it should have been “complete” in the mid-70s? 

CLINICAL BOTTOM LINE:  In this prospective, longitudinal study of childhood influences on depression in later life in healthy, upper-class white men, family history and relationships with siblings in childhood were independently predictive of depression while quality of relationships with parents during childhood was not. While such a study can not show causality, it certainly suggests that sibling relationships are more important in developing depression later in life than previously thought.

Return to top of the page


 

AUTHOR
Gregory Weiss

Relationship between CAD, cardiac symptoms and depression in women 

Chairman’s Rounds, June 25, 2007

Clinical Question: What is the relationship between CAD, cardiac symptoms and depression in women who are referred for a coronary angiogram?                   

Reference: Depression is Associated with Cardiac Symptoms, Mortality Risk, and Hospitalization Among Women with Suspected Coronary Disease: The NHLBI-Sponsored WISE study. Rutledge, T et al. Psychosomatic Medicine 68:217-223, 2006. 

Background:  The connection between depression and cardiovascular events is well established. While most of the early research was focused on men, there is a growing body of literature that suggests this same relationship holds for women. The majority of depression research on cardiac patients was done on patients with severe atherosclerosis, leaving patients with milder disease relatively unstudied. With women about twice as likely to have depression than men, understanding the relationship between CAD and depression in women would seem to be of vital importance.                                               

Methods:
Design/Setting  -
Prospective, cohort study of 988 women referred for coronary angiography.
Inclusion criteria
Women older than 18 years of age referred for coronary angiography.
Exclusion criteria
pregnancy, cardiomyopathy, recent MI, hx of CABG or PTCA, unable to complete questionnaire, history of congenital heart disease.
Population
988 agreed to participate, 750 complete data on depression, 505 completed the BDI. 34 patients lost to follow-up, none of whom submitted depression data.
Protocol
– Estimate CAD by maximal stenosis on angiography, some got non-invasive cardiologic tests, questionnaires assessing symptoms at baseline, telephone interview at 6 weeks and then yearly, Beck Depression Inventory and question about hx of treatment for depression at baseline.
Outcomes  -
mortality, hospitalization, cardiac symptoms.

Analysis -  T-tests for cardiac symptoms in different cohorts, Cox regression models to evaluate age and CAD severity-adjusted depression relationships and effects after controlling for CAD risk factors.

Validity:
1) Comparison groups similar other than exposure of interest? –  no. Multiple confounders including SES, smoking, education, age, social connections. Tried to control for these with regression analysis.
2) Exposures and outcomes measured similarly in both groups? – yes.

3) Follow-up sufficiently long and complete? yes. Only 34 drop-outs which occurred in patients whose data was use. 238 women did not give depression data, not fully explained.
4) Temporal relationship correct? – no. Not established that depression preceded CAD.
5) Groups treated equally ? – yes.    
6) Dose-response gradient? – no. Not stratified according to severity of depression.

Results: (Table 1 & Table 2)
-18% reported current moderate depression or worse; 39% reported history of treatment for depression.
-BDI and depression history were both reliably associated with CAD risk factors and worse cardiac symptoms.
-BDI was associated with an increased mortality.
-depression hx associated with hospitalization, less severe CAD on angiogram, and decreased likelihood of positive ischemia test.

Comments: 
Strengths Clinically relevant group, BDI and angiography are well accepted to predict depression and CAD respectively.
Weaknesses-
No assessment of mild vs. severe depression, many possible confounders with groups being so different, low mortality rates did not allow for assessment of causes of mortality.

CLINICAL BOTTOM LINE:  In this prospective cohort study of depression and CAD in women referred for angiography, those women with histories of depression or a BDI>17 had increased cardiac symptoms, increased mortality and greater chances at hospitalization. They had lower rates of stenosis on angiography, indicating that their symptoms and mortality might not have the same pathophysiology as non-depressed women and may need to be treated differently.

Return to top of the page


AUTHOR
Carolina Aponte Urdaneta

Ropinirole in Treatment-Resistant Depression

Chariman’s Rounds, February 12, 2007

Citation: Cassano P. et al. Ropinirole in Treatment-Resistant Depression: A 16-week Pilot Study. Can J Psychiatry, Vol 50, No. 6, May 2005. p 357-361.

Clinical Question: Efficacy and tolerability of Ropinorole augmentation in patients with treatment resistant depression.

Background Info: Ropinirole is a nonergoline dopamine D2-D3 receptor agonist which is used in the treatment of Parkinson’s disease. Laboratory and clinical studies have shown that dopamine D2-D3 receptor agonists such as Pramipexole have antidepressant properties. This study was conducted to assess efficacy and tolerability of Ropinirole used for augmentation of antidepressant pharmacotherapy.

Question Type: Therapy

Validity Criteria for Appropriate Question Type:
Follow-up
: follow-up was complete.  The 10 patients who entered the trial where properly accounted for and attributed at its conclusion. 

Randomization: No randomization took place. Open label study. All patients underwent same intervention. No control group. Intention to treat: All data was analyzed, with the last observation carried forward. Similar groups: Only one group which was heterogeneous.

Blinding: Open label study, no blinding. Equal treatment: Aside of the intervention all the patients where on different medication regimens and where therefore not treated equally. 

Study Design Type:  Clinical trial

Relevant Criteria for Appropriate Design:
Allocation: One group. No control group. No randomization.
Blinding: Open trial.
Follow Up Period: 16 weeks outpatient.
Setting: Department of psychiatry of the University of Pisa, which is a national referring center for mood and anxiety disorders.
Patients/Population: n=10, mean age 51 y, 7/10 women, patients who did not respond to at least one antidepressant treatment, (characterized by adequate doses and extended period of administration), on treatment at least for 6 weeks prior to augmentation. Exclusion criteria: physical illness, substance abuse, serious suicide risk and psychotic symptoms.
Intervention/exposure: Ropinirole was added to current antidepressant regimen at flexible doses: initial dose 0.25 mg for 3 days and increased to 0.75 mg at the end of first week and to a maximum of 1.5 mg by the end of the second week. (Doses where then adjusted in individual cases and final doses vary from 0.75 -2 mg between patients).
Outcomes: 50% reduction in MADRS total score plus a 1 or 2 (very much or much improved respectively) in the CGI-I scale. Secondary outcome: Dosage Record Treatment emergent Symptom Scale. Remission (MADRS score less than 12).
Patient Follow Up:  At the end of the study only 5/10 of the patients continued taking Ropinirole. All patients seem to be accounted for at the end, presumably none where lost to follow up.

Main Results:  Mean scores on the MADRS decreased from 29.6 (SD 7.6) at baseline to 16.9 (SD 12.1) at endpoint (T test, / = 3.10, df 9, P < 0.02); the CGl-S score decreased from 4.6 (SD 0.84) to 2.5 (SD 1.72) (Wilcoxon Signed Rank test, z = -2.45; P < 0.02). Using the outcome criteria, 4 of 10 patients (40%) to be were considered to be responders. Rate of remission was 40% at the endpoint.
 

 Conclusions: This is a study with several flaws that make the results interesting but questionable. The generalizability of results is limited due to sample size n=10 and exclusion criteria (physically ill, substance abusers, high risk of suicide). The group seems to be heterogeneous though specific characteristics are not explicit in the article. The definition of Treatment resistant depression is not clearly identified. The lack of equal treatment aside of the intervention limits both the assessment of efficacy and tolerability. The absence of a placebo group makes results even more questionable in a disease that has had placebo responses higher than 30% (though in the article authors say it’s between 12 -20%). Also, the fact of being an open label trial in which one of the primary outcomes is a subjective recording by CGI- I scale, makes the possibility of expectation bias to be higher. Since this is not randomized-control study their intention to treat is limited.
Bottom line:  In this open-label non-placebo controlled pilot study of 10 patients with mood disorders, Ropinirole at a mean dose of 1.33 mg improved MADRS scores (decrease in 50% of initial score) in 40 % of the patients (4/10). However, the poor study design severely limits the conclusions that can be drawnfrom this study.
Two Teaching Points: 
Initial studies with no placebo control groups such as this one give are the initial steps to new Research approaches. The novelty of the intervention might be a reason for publication. However, depending on the quality of the design of the study the results can become more or less confusing.

Two Questions for Discussion: What would you do next to approach the research of Ropinirole as an augmentation strategy? With these results would you be willing to use it in one of your patients?

Return to top of the page


AUTHOR
Christy Kubit

Effectiveness of Adjunctive Antidepressant Treatment for Bipolar Depression

Chairman’s Rounds, April 9, 2007

Citation: Sachs et al. Effectiveness of Adjunctive Antidepressant Treatment for Bipolar Depression. NEJM 2007; 356. (Study was part of the STEP-BD trials)

Clinical Question: Do adjunctive antidepressants reduce sx of bipolar depression without increasing the risk of mania? 

Question Type: Therapy Follow-Up: All pts who entered the study were accounted for (Table 5). Pts were treated for up to 26 weeks. Randomization: Using equipoise-randomization strata, pts were randomized to 3 treatment groups: 1) mood stabilizer (MS) + placebo, 2) MS + paroxetine, or 3) MS + buproprion. (Allowed for entry of subjects who wanted to avoid a specific antidepressant, AD.) Intention to Treat: Pts were analyzed in the groups into which they were randomized. All randomized pt data were analyzed. Similar Groups: There were no significant differences between the 3 groups (see Table 2) in such characteristics as site, gender, age, race, education, bipolar type, +/- anxiety d/o, +/- subs abuse. Blinding: Pts, physicians, and assessors were blinded to group assignment. Equal Treatment: Beside the intervention, groups were treated equally. All pts were given the option of remaining with a non-study psychotherapist, assignment to STEP-BD intervention (long- or short-term psychosocial intervention), or no psychosocial intervention.

Study Design Type: Randomized Control Trial  Duration: 26 weeks of treatment between 11/1999 and 7/2005. Setting: 22 centers, including Mass General (22.3% of pts), Baylor College (10.1%), and CWRU (17.3%). Patients/Population: n=366/4360 STEP-BD pts: 179 assigned to MS+ antidepressant and 187 assigned to MS + placebo. Pts were >18yo, met criteria for MDE in the context of Bipolar I or II disorder per DSM-IV. Dx was established at entry into study using Structured Clinical Interview for DSM-IV and Mini-International Neuropsychiatric Interview. Exclusion Criteria: Pts with a h/o intolerance or non-response to both buproprion and paroxetine, pts requiring addition or change in dose of an antipsychotic, or requiring short-term tx for coexistent substance abuse. Intervention: Paroxetine (initial 10mg à max 40mg) or buproprion sustained-release (initial 150mg à max 375mg) were chosen for their low rates of switch to mania/ hypomania. All pts were also given FDA-approved mood stabilizer. Follow-ups occurred at 6wks, at which time responding pts continued meds, with q4wk f/u for 20 additional weeks. Non-responders were offered dose increases or open-label dose increases with q2wk f/u for the next 10wks. Outcomes: Primary outcome of “durable recovery,” defined as at least 8 consecutive wks of euthymia. Secondary outcome of “treatment-emergent affective switch.” Pts were evaluated using Clinical Monitoring Form for mood disorders (including SCID, SUM-D (continuous sx subscales for depression), and SUM-ME). 

Main Results:

  • 23.5% of pts receiving MS + AD achieved durable recovery, compared to 27.3% receiving MS + placebo (p=0.4).
  • 41.3% of pts receiving MS + AD achieved durable recovery or transient remission, compared to 48.7% receiving MS + placebo (p=0.23).
  • 12.3% of pts receiving MS + AD discontinued study meds d/t adverse events, compared to 9.1% receiving MS + placebo (p=0.32).

Limitations:

1) No “pure” placebo group, 2) Only studied 2 antidepressants, 3) short study length: “durable recovery” lasted only 8wks. 3) Many pts received psychosocial intervention. 4) Pts with recent manic episodes were not likely to be referred for study.

Conclusions: While adding an antidepressant (paroxetine or buproprion) to a mood stabilizer in treatment of bipolar depression was not demonstrated to induce affective switching compared to pts receiving MS + placebo, this combination was no better in treating depressive symptoms than was a MS + placebo.

Synopsis: The use of adjunctive antidepressant medication, as compared with the use of mood stabilizers alone, was not associated with increased efficacy in treating bipolar depression or increased risk of treatment-emergent affective switch.

Return to top of the page


AUTHOR:
J.D. Harrison

Depression, Hopelessness, And Desire For Hastened Death In Terminally Ill Patients With Cancer 

Chairman’s Rounds, October 16, 2006 

Reference: Breitbart W, Rosenfeld B, Pessin H, et al. Depression, hopelessness, and desire for hastened death in terminally ill patients with cancer. JAMA. 2000;284(22): 2907-11. 

Clinical Question: What are the important determinants of how patients cope with impending death and what is the role of depression? 

Background: In addition to the controversial debate over physician assisted suicide, the elucidation of the possible relationships between the desire for hastened death and depression, hopelessness, social support, and physical symptoms are important in improving end-of-life care. Hopelessness was characterized by a pessimistic cognitive style rather than an assessment of one’s poor prognosis. Other factors that may play a role in patient’s desire for hastened death include spiritual well-being, quality of life, symptom distress, physical functioning, and perception of oneself as a burden to others. 

Methods:

Study design: Prospective cohort

Inclusion criteria: Patients recruited at a palliative care hospital in New York City between 6/1/98-1/31/99, life expectancy of less than 6 months, English speaking, cognitively able to provide informed consent and valid data (MMSE>20), not considered likely by their physician to suffer psychological harm from participation.

Final population: 92 terminally ill cancer patients.

Data collection:

Measures administered: Schedule of Attitudes Toward Hastened Death (SAHD), Structured Interview for DSM IV (SCID), Hamilton Depression Rating Scale, Beck Hopelessness Scale, Duke-UNC Functional Social Support Questionnaire, Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being Scale, Brief Pain Inventory, Memorial Symptom Assessment Scale, Karnofsky Performance Rating Scale, and abbreviated version of McGill Quality of Life Questionnaire

Assessment conducted jointly by 2 investigators to establish reliability. Attempted to complete evaluations in a single interview. 

Main outcome: Scores on the SADH (Desire to hasten death) 

Exposures: SCID diagnosis of Depression, Hopelessness as classified by endorsing more than 8 items on the BHS 

Main Results:

Depressed and nondepressed patients did not differ on the BHS (P=0.12)

Depression and hopelessness were only moderately, but significantly, correlated (r=0.29, p<0.008) 

A SCID diagnosis of depression was significantly associated with desire for hastened death (χ2=11.44, p=0.001). 15 of 89 (17%) pts met criteria for depressive episode. Of these 15, 7 (47%) had a desire for hastened death indicated by a score of >10 on the SAHD. Of 74 pt not depressed, 9 (12%) had a desire for hastened death. Thus pts with depression were 4 times more likely to have a desire for hastened death

2-way analysis of variance demonstrated that depression and hopelessness had significant, independent effects in SAHD scores.  The presence of either of these factors individually increased desire to hasten death somewhat, while the presence of both increased the desire to hasten death considerably. 

Stepwise multiple regression analysis was conducted. Hopelessness, depression, and social support were the remaining variables in a significant model that accounted for 51% of the variance in SAHD scores. Of note, there was no significant association between desire for hastened death and pain. 

Conclusions: Depression and Hopelessness are strong, independent predictors of desire for hastened death in the terminally ill 

Validity:

Focused clinical question: Yes, but they did try to extrapolate to physician assisted suicide

Inclusion Criteria appropriate: Yes, explicit and comprehensive patient population, but unavoidable selection bias to patients who are less ill, generalizability is an issue since done in institution providing aggressive state of the art palliative care

Data collection: Assessment conducted jointly by 2 investigators to establish reliability. Attempted to complete evaluations in a single interview. Use of prior validation studies of tests administered. Interrater reliability was assessed.

Data analyzed appropriately: yes 

Discussion Point:
Limitations inherent to palliative care studies-selection bias, death or drop out rates, ethical issues
Separating accepted death from desire to hasten death
Hopelessness in the absence of depression in the terminally ill

Discussion Questions:
Effectiveness of treatment of depression in terminally ill?
How to address hopelessness in a terminally ill patient?
                 

Return to top of the page


AUTHOR:
Christy Kubit

ECT In Bipolar And Unipolar Depression

Chairman’s Rounds, September 18, 2006

Citation: Daly JJ, Prudic et al. ECT in bipolar and unipolar depression: differences in speed of response. Bipolar Disorders 2001: 3: 95-104.

Clinical Case:  39-yo WF with a h/o treatment-resistant Bipolar D/o admitted for a depressive episode and ECT. Pt noted improvement in mood after first treatment. (Pre-ECT BDI=37, mid-ECT BDI=9.)

Clinical Question: How do patients with unipolar and bipolar depression differ in response to ECT?

Validity Criteria: Therapy Study.

Follow-up: One week after final ECT session. Randomization: UP & BP pts were randomized to 3 ECT protocols: 1) RUL ECT vs BL ECT, Voltage=1xST, 2) RUL ECT V=1xST vs RUL ECT V=2.5xST vs BL ECT V=1xST vs BL ECT V=2.5xST, 3) RUL ECT V=1.5xST vs RUL ECT V=2.5xST vs RUL ECT V=6xST vs BL ECT V=2.5xST. Intention to Treat: Pts were analyzed in the groups to which they were allocated (UPD vs