INITIAL RESULTS HELP CLINICIANS IDENTIFY PATIENTS WITH TREATMENT-RESISTANT DEPRESSION

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U.S. Department of Health and Human Services 
NATIONAL INSTITUTES OF HEALTH 
NIH News 
National Institute of Mental Health (NIMH)
http://www.nimh.nih.gov/

EMBARGOED FOR RELEASE: Sunday, January 1, 2006; 12:01 a.m. ET  

CONTACT: Jules Asher, NIMH Press Office (NIMHpress@xxxxxxx),
301-443-4536

INITIAL RESULTS HELP CLINICIANS IDENTIFY PATIENTS WITH
TREATMENT-RESISTANT DEPRESSION

Initial results of the nation's largest clinical trial for depression
have helped clinicians to track "real world" patients who became
symptom-free and to identify those who were resistant to the initial
treatment. Participants treated in both medical and specialty mental
health care settings experienced a remission of symptoms in 12 to 14
weeks during well-monitored treatment with an antidepressant medication.
The study, funded by the National Institutes of Health's (NIH) National
Institute of Mental Health (NIMH), used flexible adjustment of dosages
based on quick and easy-to-use clinician ratings of symptoms and patient
self-ratings of side effects. 

About a third of participants reached a remission or virtual absence of
symptoms during the initial phase of the study, with an additional 10 to
15 percent experiencing some improvement. Subsequent phases of the
trials will help determine successful treatments for the nearly two
thirds of those patients who were identified as treatment-resistant to a
first medication in phase one. 

The trial, known as the STAR*D study -- Sequenced Treatment Alternatives
to Relieve Depression -- included 2,876 participants and was conducted
over six years at a cost of $35 million. (For more information on
STAR*D, go to:
http://www.clinicaltrials.gov/ct/show/NCT00021528?order=1). 

The medication used in this first phase of the study was the serotonin
reuptake inhibitor (SSRI) citalopram (Celexa, made by Forest
Pharmaceuticals), and response rates were comparable across the 23
psychiatric and 18 primary care treatment sites. John Rush, M.D., and
Madhukar Trivedi, M.D., of the University of Texas Southwestern Medical
Center (UTSMC), and colleagues report on the results of phase 1 of
STAR*D in the January, 2005 "American Journal of Psychiatry". 

"The real goal of STAR*D is how best to help the 70 percent of patients
for whom treatment with a representative SSRI is not enough for
remission," said NIMH Director Thomas Insel, M.D. "As the results of
subsequent levels of the trial are revealed in the coming months, we
will learn the effectiveness of other treatment options." 

In the first phase of STAR*D, being well-educated, employed, married,
white and female, with few complicating problems, were factors
associated with a better antidepressant response. Factors associated
with a poorer response included co-occurring anxiety, substance abuse or
physical disorders, and lower quality of life. 

This study is an effectiveness trial, which typically asks tougher
questions than traditional efficacy trials, which measure only the
reduction of symptoms. Effectiveness trials, which measure symptom
reduction and patient function, also take into account the often untidy
realities clinicians face. For example, if a patient is not responding
adequately to an initial medication in 4 or 6 weeks, what is the next
best treatment option? 

Beyond just judging safety and efficacy, STAR*D measured practical
outcomes, including, in subsequent phases of the study, how well the
individual is actually functioning -- even a year later. The goal of the
trial was remission. People who become symptom-free generally function
better and are less prone to relapse. Efficacy trials normally seek only
a reduction in symptoms. 

"These trials match the NIMH vision of developing personalized care,"
explained NIMH Director Dr. Thomas Insel in an accompanying editorial.
"By beginning to identify which particular treatment benefits which
patient, the STAR*D trial takes us a little closer to realizing this
vision for non-psychotic depression." 

While efficacy trials typically compare a drug with placebo (inactive
pill) for only 8 weeks and exclude patients with complicating or chronic
problems, STAR*D compared several active treatments, including a
psychotherapy, over much longer periods, and welcomed a broad spectrum
of patients with co-occurring drug, alcohol and physical health
disorders, or a history of suicide attempts. Instead of recruiting
volunteers through ads to research clinics, STAR*D enrolled patients
already seeking help in the 41 participating clinics nationwide. 

Representative of national ethnic and socioeconomic populations, the
study participants were outpatients ages 18-75 who scored high enough on
a standard depression rating scale to be diagnosed with major
depression. They included some of the most chronic patients with
depression. More than a third of the participants were under age 18 when
they first experienced depression, 75 percent had at least two episodes
of depression, and for 25 percent the current episode of depression had
lasted for at least two years. 

Clinicians adjusted dosages of citalopram during five to six visits at
two to three week intervals, based on a treatment manual and quick and
easy-to-use symptom ratings and patient and side-effect ratings. The
researchers collected depression ratings and other data by phone,
including an automated interactive voice response system. 

"Self-rating scales are no longer just research tools," said Rush. "An
easy-to-use patient-rated scale proved to be as accurate as the standard
depression scale, so the time is ripe for practitioners to begin using
them as part of systematic assessments to guide routine treatment. Our
results also suggest that to achieve remission, some patients may need
to stay in treatment longer and take somewhat higher antidepressant
dosages, as warranted by their individualized assessments." 

The results were corroborated by "remarkably consistent findings" across
both standard and patient-rated depression rating scales, note the
researchers. On average, it took patients six to seven weeks of
treatment to reach "remission" of their depressive symptoms. The average
number of visits for those successfully treated participants was between
five and six, with 40 percent of participants who eventually became
symptom-free requiring eight or more weeks of treatment (when most
efficacy trials normally end). Almost all of the participants who became
symptom-free continued on their treatment for over eight weeks, many for
12 weeks. 

The 30 percent remission rate is similar to those seen in uncomplicated,
non-chronic volunteers enrolled in SSRI efficacy trials. However,
efficacy trials with chronic patients more like the STAR*D patients
typically produce only a 22 percent remission rate. Again, the
researchers attribute this better than expected remission rate to the
systematic and comprehensive approach to care, which enlists the patient
as a collaborator by providing tools for self-monitoring. 

Patients who did not achieve remission or did not tolerate citalopram
were invited to participate in phase 2 of STAR*D, in which the drug was
either augmented or replaced by other treatments, including cognitive
therapy. People who still did not improve sufficiently could enroll in
to two additional levels. The researchers followed up successful
responders for a year to monitor each treatment's long-term outcomes. 

"Tools used in research settings (depression rating scales, etc.) are
not routinely used in practice, which may contribute to the high rates
of inadequate treatment with antidepressant medications in routine
care," suggest Trivedi, Rush and colleagues. "Our results also suggest
that the use of depressive symptom and side effect ratings to guide
treatment is feasible in "real world" practices as well as effectiveness
trials and can be used to monitor patient progress, to adjust the
treatment, and to make clinical decisions." 

Other study authors include: 

-- Stephen Wisniewski, Ph.D., University of Pittsburgh 

-- Andrew Nierenberg, M.D., Massachusetts General Hospital 

-- Diane Warden, Ph.D., University of Texas Southwestern Medical Center 

-- Louise Ritz, M.B.A., NIMH 

-- Grayson Norquist, M.D., University of Mississippi 

-- Robert Howland, M.D., University of Pittsburgh 

-- Barry Lebowitz, Ph.D., University of California, San Diego 

-- Patrick McGrath, M.D., Columbia University 

-- Kathy Shores-Wilson, Ph.D., University of Texas Southwestern Medical
Center 

-- Melanie Biggs, Ph.D., University of Texas Southwestern Medical Center


-- G.K. Balasubramani, Ph.D., University of Pittsburgh 

-- Maurizio Fava, M.D., Massachusetts General Hospital 

Q&As for more information on the Star-D study: 

-- Sequenced Treatment Alternatives to Relieve Depression at
ClinicalTrials.gov 

-- Sequenced Treatment Alternatives to Relieve Depression (STAR*D): An
NIMH Study to Guide Treatment Choices for Resistant Depression 

-- Questions and Answers about the NIMH Sequenced Treatment Alternatives
to Relieve Depression (STAR*D) Study - Background 

-- Questions and Answers about the NIMH Sequenced Treatment Alternatives
to Relieve Depression (STAR*D) Study - Level 1 Results, Published in
"American Journal of Psychiatry", January 1, 2006 

NIMH is part of the National Institutes of Health (NIH), the Federal
Government's primary agency for biomedical and behavioral research. NIH
is a component of the U.S. Department of Health and Human Services. 

The National Institutes of Health (NIH) -- "The Nation's Medical
Research Agency" -- includes 27 Institutes and Centers and is a
component of the U. S. Department of Health and Human Services. It is
the primary Federal agency for conducting and supporting basic,
clinical, and translational medical research, and it investigates the
causes, treatments, and cures for both common and rare diseases. For
more information about NIH and its programs, visit http://www.nih.gov.
  
##
 
This NIH News Release is available online at:
http://www.nih.gov/news/pr/jan2006/nimh-01.htm.

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