Caitlin C. Clements
Harvard University
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Featured researches published by Caitlin C. Clements.
Molecular Psychiatry | 2015
Caitlin C. Clements; Victor M. Castro; Sarah R. Blumenthal; Hannah R. Rosenfield; Shawn N. Murphy; Maurizio Fava; Jane L. Erb; Susanne Churchill; Anjali J Kaimal; Alysa E. Doyle; Elise B. Robinson; Jordan W. Smoller; Isaac S. Kohane; Roy H. Perlis
Previous studies suggested that risk for Autism Spectrum Disorder (ASD) may be increased in children exposed to antidepressants during the prenatal period. The disease specificity of this risk has not been addressed and the possibility of confounding has not been excluded. Children with ASD or attention-deficit hyperactivity disorder (ADHD) delivered in a large New England health-care system were identified from electronic health records (EHR), and each diagnostic group was matched 1:3 with children without ASD or ADHD. All children were linked with maternal health data using birth certificates and EHRs to determine prenatal medication exposures. Multiple logistic regression was used to examine association between prenatal antidepressant exposures and ASD or ADHD risk. A total of 1377 children diagnosed with ASD and 2243 with ADHD were matched with healthy controls. In models adjusted for sociodemographic features, antidepressant exposure prior to and during pregnancy was associated with ASD risk, but risk associated with exposure during pregnancy was no longer significant after controlling for maternal major depression (odds ratio (OR) 1.10 (0.70–1.70)). Conversely, antidepressant exposure during but not prior to pregnancy was associated with ADHD risk, even after adjustment for maternal depression (OR 1.81 (1.22–2.70)). These results suggest that the risk of autism observed with prenatal antidepressant exposure is likely confounded by severity of maternal illness, but further indicate that such exposure may still be associated with ADHD risk. This risk, modest in absolute terms, may still be a result of residual confounding and must be balanced against the substantial consequences of untreated maternal depression.
JAMA Psychiatry | 2014
Sarah R. Blumenthal; Victor M. Castro; Caitlin C. Clements; Hannah R. Rosenfield; Shawn N. Murphy; Maurizio Fava; Jeffrey B. Weilburg; Jane L. Erb; Susanne Churchill; Isaac S. Kohane; Jordan W. Smoller; Roy H. Perlis
IMPORTANCE Short-term studies suggest antidepressants are associated with modest weight gain but little is known about longer-term effects and differences between individual medications in general clinical populations. OBJECTIVE To estimate weight gain associated with specific antidepressants over the 12 months following initial prescription in a large and diverse clinical population. DESIGN, SETTING, AND PARTICIPANTS We identified 22,610 adult patients who began receiving a medication of interest with available weight data in a large New England health care system, including 2 academic medical centers and affiliated outpatient primary and specialty care clinics. We used electronic health records to extract prescribing data and recorded weights for any patient with an index antidepressant prescription including amitriptyline hydrochloride, bupropion hydrochloride, citalopram hydrobromide, duloxetine hydrochloride, escitalopram oxalate, fluoxetine hydrochloride, mirtazapine, nortriptyline hydrochloride, paroxetine hydrochloride, venlafaxine hydrochloride, and sertraline hydrochloride. As measures of assay sensitivity, additional index prescriptions examined included the antiasthma medication albuterol sulfate and the antiobesity medications orlistat, phentermine hydrochloride, and sibutramine hydrochloride. Mixed-effects models were used to estimate rate of weight change over 12 months in comparison with the reference antidepressant, citalopram. MAIN OUTCOME AND MEASURE Clinician-recorded weight at 3-month intervals up to 12 months. RESULTS Compared with citalopram, in models adjusted for sociodemographic and clinical features, significantly decreased rate of weight gain was observed among individuals treated with bupropion (β [SE]: -0.063 [0.027]; P = .02), amitriptyline (β [SE]: -0.081 [0.025]; P = .001), and nortriptyline (β [SE]: -0.147 [0.034]; P < .001). As anticipated, differences were less pronounced among individuals discontinuing treatment prior to 12 months. CONCLUSIONS AND RELEVANCE Antidepressants differ modestly in their propensity to contribute to weight gain. Short-term investigations may be insufficient to characterize and differentiate this risk.
Translational Psychiatry | 2016
Victor M. Castro; Sek Won Kong; Caitlin C. Clements; Roscoe O. Brady; Anjali J Kaimal; Alysa E. Doyle; Elise B. Robinson; Susanne Churchill; Isaac S. Kohane; Roy H. Perlis
Multiple studies have examined the risk of prenatal antidepressant exposure and risk for autism spectrum disorder (ASD) or attention-deficit hyperactivity disorder (ADHD), with inconsistent results. Precisely estimating such risk, if any, is of great importance in light of the need to balance such risk with the benefit of depression and anxiety treatment. We developed a method to integrate data from multiple New England health systems, matching offspring and maternal health data in electronic health records to characterize diagnoses and medication exposure. Children with ASD or ADHD were matched 1:3 with children without neurodevelopmental disorders. Association between maternal antidepressant exposure and ASD or ADHD liability was examined using logistic regression, adjusting for potential sociodemographic and psychiatric confounding variables. In new cohorts of 1245 ASD cases and 1701 ADHD cases, along with age-, sex- and socioeconomic status matched controls, neither disorder was significantly associated with prenatal antidepressant exposure in crude or adjusted models (adjusted odds ratio 0.90, 95% confidence interval 0.50−1.54 for ASD; 0.97, 95% confidence interval 0.53−1.69 for ADHD). Pre-pregnancy antidepressant exposure significantly increased risk for both disorders. These results suggest that prior reports of association between prenatal antidepressant exposure and neurodevelopmental disease are likely to represent a false-positive finding, which may arise in part through confounding by indication. They further demonstrate the potential to integrate data across electronic health records studies spanning multiple health systems to enable efficient pharmacovigilance investigation.
Biological Psychiatry | 2014
Colm O’Dushlaine; Stephan Ripke; Douglas M. Ruderfer; Steven P. Hamilton; Maurizio Fava; Dan V. Iosifescu; Isaac S. Kohane; Susanne Churchill; Victor M. Castro; Caitlin C. Clements; Sarah R. Blumenthal; Shawn N. Murphy; Jordan W. Smoller; Roy H. Perlis
BACKGROUND While antidepressant treatment response appears to be partially heritable, no consistent genetic associations have been identified. Large, rare copy number variants (CNVs) play a role in other neuropsychiatric diseases, so we assessed their association with treatment-resistant depression (TRD). METHODS We analyzed data from two genome-wide association studies comprising 1263 Caucasian patients with major depressive disorder. One was drawn from a large health system by applying natural language processing to electronic health records (i2b2 cohort). The second consisted of a multicenter study of sequential antidepressant treatments, Sequenced Treatment Alternatives to Relieve Depression. The Birdsuite package was used to identify rare deletions and duplications. Individuals without symptomatic remission, despite two antidepressant treatment trials, were contrasted with those who remitted with a first treatment trial. RESULTS CNV data were derived for 778 subjects in the i2b2 cohort, including 300 subjects (37%) with TRD, and 485 subjects in Sequenced Treatment Alternatives to Relieve Depression cohort, including 152 (31%) with TRD. CNV burden analyses identified modest enrichment of duplications in cases (empirical p = .04 for duplications of 100-200 kilobase) and a particular deletion region spanning gene PABPC4L (empirical p = .02, 6 cases: 0 controls). Pathway analysis suggested enrichment of CNVs intersecting genes regulating actin cytoskeleton. However, none of these associations survived genome-wide correction. CONCLUSIONS Contribution of rare CNVs to TRD appears to be modest, individually or in aggregate. The electronic health record-based methodology demonstrated here should facilitate collection of larger TRD cohorts necessary to further characterize these effects.
BMJ Open | 2012
Victor M. Castro; Patience Gallagher; Caitlin C. Clements; Shawn N. Murphy; Vivian S. Gainer; Maurizio Fava; Jeffrey B. Weilburg; Susanne Churchill; Isaac S. Kohane; Dan V. Iosifescu; Jordan W. Smoller; Roy H. Perlis
Objective To examine the association between exposure to newer antidepressants and risk of gastrointestinal (GI) and other bleeding complications among individuals with major depressive disorder (MDD). Design This study uses an incident user cohort design to compare associations between incidence of vascular/bleeding events and the relative affinity (low, moderate or high) of the antidepressant for the serotonin transporter during an exposure risk period for each patient. Setting New England healthcare system electronic medical record database. Participants 36 389 individuals with a diagnosis of MDD and monotherapy with a selective serotonin reuptake inhibitor, serotonin–norepinephrine reuptake inhibitor or other new-generation antidepressant were identified from among 3.1 million patients in a New England healthcare system. Primary and secondary outcome measures Rates of bleeding or other vascular complications, including acute liver failure, acute renal failure, asthma, breast cancer and hip fractures. Results 601 GI bleeds were observed in the 21 462 subjects in the high-affinity group versus 333 among the 14 927 subjects in the lower affinity group (adjusted RR: 1.17, 95% CI 1.02 to 1.34). Similarly, 776 strokes were observed in the high-affinity group versus 434 in the lower affinity treatment group (adjusted RR: 1.18, 95% CI 1.06 to 1.32). No significant association with risk for a priori negative control outcomes, including acute liver failure, acute renal failure, asthma, breast cancer and hip fractures, was identified. Conclusions Use of antidepressants with high affinity for the serotonin transporter may confer modestly elevated risk for GI and other bleeding complications. While multiple methodologic limitations must be considered, these results suggest that antidepressants with lower serotonin receptor affinity may be preferred in patients at greater risk for such complications.
Bipolar Disorders | 2014
Anna Wiste; Elise B. Robinson; Yuri Milaneschi; Sandra Meier; Stephan Ripke; Caitlin C. Clements; Garrett M. Fitzmaurice; Marcella Rietschel; Brenda W.J.H. Penninx; Jordan W. Smoller; Roy H. Perlis
Family and genetic studies indicate overlapping liability for major depressive disorder and bipolar disorder. The purpose of the present study was to determine whether this shared genetic liability influences clinical presentation.
JAMA Psychiatry | 2018
Caitlin C. Clements; Alisa R. Zoltowski; Lisa D. Yankowitz; Benjamin E. Yerys; Robert T. Schultz; John D. Herrington
Importance The social motivation hypothesis posits that individuals with autism spectrum disorder (ASD) find social stimuli less rewarding than do people with neurotypical activity. However, functional magnetic resonance imaging (fMRI) studies of reward processing have yielded mixed results. Objectives To examine whether individuals with ASD process rewarding stimuli differently than typically developing individuals (controls), whether differences are limited to social rewards, and whether contradictory findings in the literature might be due to sample characteristics. Data Sources Articles were identified in PubMed, Embase, and PsycINFO from database inception until June 1, 2017. Functional MRI data from these articles were provided by most authors. Study Selection Publications were included that provided brain activation contrasts between a sample with ASD and controls on a reward task, determined by multiple reviewer consensus. Data Extraction and Synthesis When fMRI data were not provided by authors, multiple reviewers extracted peak coordinates and effect sizes from articles to recreate statistical maps using seed-based d mapping software. Random-effects meta-analyses of responses to social, nonsocial, and restricted interest stimuli, as well as all of these domains together, were performed. Secondary analyses included meta-analyses of wanting and liking, meta-regression with age, and correlations with ASD severity. All procedures were conducted in accordance with Meta-analysis of Observational Studies in Epidemiology guidelines. Main Outcomes and Measures Brain activation differences between groups with ASD and typically developing controls while processing rewards. All analyses except the domain-general meta-analysis were planned before data collection. Results The meta-analysis included 13 studies (30 total fMRI contrasts) from 259 individuals with ASD and 246 controls. Autism spectrum disorder was associated with aberrant processing of both social and nonsocial rewards in striatal regions and increased activation in response to restricted interests (social reward, caudate cluster: d = −0.25 [95% CI, −0.41 to −0.08]; nonsocial reward, caudate and anterior cingulate cluster: d = −0.22 [95% CI, −0.42 to −0.02]; restricted interests, caudate and nucleus accumbens cluster: d = 0.42 [95% CI, 0.07 to 0.78]). Conclusions and Relevance Individuals with ASD show atypical processing of social and nonsocial rewards. Findings support a broader interpretation of the social motivation hypothesis of ASD whereby general atypical reward processing encompasses social reward, nonsocial reward, and perhaps restricted interests. This meta-analysis also suggests that prior mixed results could be driven by sample age differences, warranting further study of the developmental trajectory for reward processing in ASD.
Molecular Autism | 2016
Tara L. Wenger; Judith S. Miller; Lauren M. DePolo; Ashley de Marchena; Caitlin C. Clements; Beverly S. Emanuel; Elaine H. Zackai; Donna M. McDonald-McGinn; Robert T. Schultz
Journal of Autism and Developmental Disorders | 2016
Lauren M. McGrath; Joyce M. Oates; Yael G. Dai; Helen F. Dodd; Jessica L. Waxler; Caitlin C. Clements; Sydney Weill; Alison G. Hoffnagle; Erin M. Anderson; Rebecca Macrae; Jennifer E. Mullett; Christopher J. McDougle; Barbara R. Pober; Jordan W. Smoller
Biological Psychiatry | 2017
Robert T. Schultz; Caitlin C. Clements; Judith Miller; Ashley de Marchena; Elaine H. Zackai; Beverly S. Emanuel; Donna M. McDonald-McGinn; Tara L. Wenger