ArticleSingapore medical journal2017
Patterns and predictors of treatment outcome for antenatal major depression.
Article in Singapore medical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
introductionAntenatal major depression is a relatively common and potentially debilitating illness, but knowledge of its treatment outcomes and strategies is still lacking. This study aimed to explore the clinical profiles and treatment outcomes of patients with antenatal major depression, to look for patterns and associations that could guide subsequent research and clinical applications.
methodsFrom May 2006 to November 2010, 118 consecutive patients with antenatal major depression were naturalistically assessed over eight months of individualised therapy, and their characteristics were assessed as potential predictors of treatment outcome.
resultsAll participants accepted supportive counselling and case management, although only 51 (43.2%) participants accepted low-dose antidepressant therapy. Overall, 95 (80.5%) of them were successfully discharged, while 12 (10.2%) required extended treatment into the postnatal period. An equation for prognosticating the need for extended treatment was obtained using multiple logistic regression analysis, which incorporated three predictors: previous depression (odds ratio [OR] 12.4, 95% confidence interval [CI] 1.40-110; p = 0.024); maternal age < 26 years or > 35 years (OR 6.88, 95% CI 1.67-28.4; p = 0.008); and no use of antidepressant (OR 6.94, 95% CI 0.79-60.9; p = 0.080). Among participants with previous depression and at either extreme of maternal age, the number needed to treat with antidepressants to avert extended treatment was three.
conclusionThe majority of women with antenatal major depression recovered after receiving short-term treatment. Those with previous depression and who were of relative extreme maternal age were most likely to benefit from antidepressant treatment to expedite recovery.
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