Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2005-1-20
pubmed:abstractText
Medication algorithms based on the best evidence available together with expert consensus are considered to promote logical consistent clinical decision making in the choice of antidepressant drugs. We report our preliminary results using the modified algorithm established by the Japanese Psychopharmacology Algorithm Project (JPAP). Subjects were 24 patients with major depressive disorders who presented to the outpatient clinic of the Department of Psychiatry at the National Defense Medical College prior to any treatment for the current episode. Ultimately, 15 patients recovered with treatment according to our protocol, including 7 who recovered upon treatment with first-line drugs; the most effective of these was paroxetine, followed by fluvoxamine and then milnacipran. Six patients recovered with second-line treatments. Among these, a combination of milnacipran and lithium was most effective, with recovery of 4 of 4 patients. We have formed a strong impression that augmentation therapy, especially with milnacipran plus lithium, is likely to be effective if the first-line antidepressant is ineffective. Investigation of more cases will be needed to confirm or refine details of the algorithm and, more generally, to determine the best approach to antidepressant medication.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
1340-2544
pubmed:author
pubmed:issnType
Print
pubmed:volume
24
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
279-81
pubmed:dateRevised
2005-3-16
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
The effectiveness of lithium augmentation of milnacipran: preliminary data using the modified Japanese Psychopharmacology Algorithm.
pubmed:affiliation
Department of Psychiatry, National Defense Medical College 3-2, Namiki, Tokorozawa 359-8513, Japan.
pubmed:publicationType
Journal Article