Patterns in Treatment Response for Acute Bipolar Mania
Author Information
Author(s): Ilya A Lipkovich, John P Houston, Jonna Ahl
Primary Institution: Lilly Research Laboratories, Eli Lilly and Company
Hypothesis
Can we identify groups of patients with similar manic symptom response profiles in bipolar disorder?
Conclusion
Distinct treatment response profiles can be predicted by clinical features at baseline.
Supporting Evidence
- Four distinct clusters of patients were identified based on their treatment responses.
- Cluster 2 patients showed rapid improvement and sustained remission.
- Cluster 3 patients had rapid improvement but relapsed soon after.
- Cluster 4 patients responded slowly but maintained their remission.
Takeaway
This study looked at how different people with bipolar mania respond to treatment and found that their responses can be grouped into four main patterns.
Methodology
Patients were clustered based on their Young-Mania Rating Scale scores over 7 weeks, using hierarchical clustering and logistic regression to identify predictors.
Potential Biases
Potential bias due to patient dropouts and the deterministic nature of cluster identification.
Limitations
The study was a post-hoc analysis and may not generalize to larger populations; it also did not account for uncertainty in class membership.
Participant Demographics
Patients were mostly white, in their forties, with nearly half experiencing mixed episodes and/or psychotic features.
Statistical Information
P-Value
p = .002
Confidence Interval
95% CI: 1.24–2.53
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website