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Accepted for/Published in: JMIR Mental Health

Date Submitted: Sep 23, 2020
Date Accepted: Mar 9, 2021
Date Submitted to PubMed: Apr 22, 2021

The final, peer-reviewed published version of this preprint can be found here:

Using Machine Learning Imputed Outcomes to Assess Drug-Dependent Risk of Self-Harm in Patients with Bipolar Disorder: A Comparative Effectiveness Study

Nestsiarovich A, Kumar P, Lauve NR, Hurwitz NG, Mazurie AJ, Cannon DC, Zhu Y, Nelson SJ, Crisanti AS, Kerner B, Tohen M, Perkins DJ, Lambert CG

Using Machine Learning Imputed Outcomes to Assess Drug-Dependent Risk of Self-Harm in Patients with Bipolar Disorder: A Comparative Effectiveness Study

JMIR Ment Health 2021;8(4):e24522

DOI: 10.2196/24522

PMID: 33688834

PMCID: 8100888

Drug-dependent risk of self-harm in patients with bipolar disorder: a comparative effectiveness study using machine learning imputed outcomes

  • Anastasiya Nestsiarovich; 
  • Praveen Kumar; 
  • Nicolas Raymond Lauve; 
  • Nathaniel G Hurwitz; 
  • Aurélien J Mazurie; 
  • Daniel C Cannon; 
  • Yiliang Zhu; 
  • Stuart James Nelson; 
  • Annette S Crisanti; 
  • Berit Kerner; 
  • Mauricio Tohen; 
  • Douglas J Perkins; 
  • Christophe Gerard Lambert

ABSTRACT

Background:

Incomplete suicidality coding in administrative claims data is a known obstacle for observational studies. With most of the negative outcomes missing from the data, it is challenging to assess the evidence on treatment strategies for the prevention of self-harm in bipolar disorder (BD), including pharmacotherapy and psychotherapy. There are conflicting data from studies on the drug-dependent risk of self-harm, and there is major uncertainty regarding the preventive effect of monotherapy and drug combinations.

Objective:

The aim of this study is to compare all commonly used BD pharmacotherapies, as well as psychotherapy for risk of self-harm in a large population of commercially insured individuals, using self-harm imputation to overcome the known limitations of this outcome being under-recorded within US electronic healthcare records.

Methods:

The IBM MarketScan® administrative claims database was used to compare self-harm risk in patients with BD following 66 drug regimens and drug-free periods. Probable but uncoded self-harm events were imputed via machine learning, with different probability thresholds examined in a sensitivity analysis. Comparators included lithium, mood-stabilizing anticonvulsants (MSAs), second-generation antipsychotics (SGAs), first-generation antipsychotics (FGAs), and antidepressants. Cox regression models with time-varying covariates were built for individual treatment regimens, and for any pharmacotherapy with or without psychosocial interventions (“psychotherapy”).

Results:

Out of 529,359 patients 1.6% had imputed and/or coded self-harm following the exposure of interest (N=8,509 events). A higher self-harm risk was observed during adolescence. Three regimens were of higher risk of self-harm than lithium (tri/tetracyclic antidepressant+SGA, serotonin-norepinephrine reuptake inhibitors (SNRI)+SGA, selective serotonin reuptake inhibitors (SSRI)+MSA+SGA) [hazard ratios (HRs) ranged 1.44-2.29, p<0.01], and ten were of lower risk (lamotrigine, valproate, risperidone, aripiprazole, oxcarbazepine, SNRI, SSRI, “No drug”, bupropion, and bupropion+SSRI) (HRs ranged 0.45-0.74, p<0.01). Psychotherapy alone (non-adjunctive) had a lower self-harm risk than no treatment (HR=0.64, 95%CI=0.60-0.69, p=7.05×10-33). The sensitivity analysis showed that the direction of drug-outcome associations did not change as a function of self-harm probability threshold.

Conclusions:

Our data support the evidence on the effectiveness of antidepressants, MSAs, and psychotherapy for self-harm prevention in BD. Clinical Trial: ClinicalTrials.gov NCT02893371


 Citation

Please cite as:

Nestsiarovich A, Kumar P, Lauve NR, Hurwitz NG, Mazurie AJ, Cannon DC, Zhu Y, Nelson SJ, Crisanti AS, Kerner B, Tohen M, Perkins DJ, Lambert CG

Using Machine Learning Imputed Outcomes to Assess Drug-Dependent Risk of Self-Harm in Patients with Bipolar Disorder: A Comparative Effectiveness Study

JMIR Ment Health 2021;8(4):e24522

DOI: 10.2196/24522

PMID: 33688834

PMCID: 8100888

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