Abstract
Dear Editor,
Ballatori et al 1 present a timely, large-scale analysis of psychiatric disorders after lumbar fusion. Their emphasis on modifiable factors particularly opioid exposure and socioeconomic factors. Paired with pragmatic screening recommendations at 3 weeks, 3 months, and 12 months, this makes this study valuable for clinicians and program designers seeking to build equitable, integrated perioperative pathways.
One of the most important contributions of this work is the demonstration that psychiatric risk clusters early, with a peak incidence around three weeks postoperatively. This underscores a decisive perioperative moment when screening can realistically change trajectories for pain, function, and help-seeking.
Equally notable is the observation that Medicaid insurance, rather than income quartile, was the strongest predictor of suicidal and homicidal ideation. This highlights the role of access and systemic barriers in shaping outcomes, and calls for targeted outreach to socially vulnerable populations.
The association between opioid exposure during the index hospitalization and subsequent psychiatric complications is particularly salient. Opioid use more than doubled the risk of suicidal ideation and significantly increased the likelihood of anxiety, with a trend toward depression. 2 These results mirror a growing body of research demonstrating a bidirectional relationship between opioid use and psychiatric distress. 3
Despite these strengths, several issues deserve discussion. The definition of opioid exposure conflates “use” with “dependence/abuse,” which risks misclassification and confounding by indication. The reliance on calendar-year follow-up within the Nationwide Readmissions Database introduces potential right-censoring, particularly for surgeries performed late in the year.
Moreover, outcomes were derived from inpatient coding alone, which likely underestimates outpatient psychiatric diagnoses and may overstate rare codes such as homicidal ideation. Clarifying whether “screened” refers to systematic use of validated instruments or simply inpatient-coded recognition would also strengthen interpretability.
The analytic approach, limited to bivariate odds ratios, leaves confounding structures unresolved. Multivariable modeling, time-to-event analyses, and sensitivity checks would provide more robust understanding.
Additionally, operative details including levels fused, surgical approach, complications, and discharge supports were not available. Including discharge disposition as a predictor could refine early risk targeting, given its strong association with vulnerability.
Looking forward, several opportunities exist to build on this foundation. Time-to-event modeling with competing risks could quantify incremental risk and justify the proposed screening cadence. Target trial emulation of “early screening vs usual care” or “opioid-sparing vs standard analgesia” would approximate causal effects under explicit rules.
Mediation analyses could test whether pain trajectory or discharge disposition explains the link between opioid exposure and psychiatric transitions. Finally, fairness auditing of predictive tools across age, sex, and insurance strata would ensure that risk stratification does not inadvertently widen inequities.
We can build on this study by testing the three-point mental health screening protocol in stepped-wedge ERAS trials, using validated tools like HADS, PHQ-9, and GAD-7. Equity could be advanced by deploying care navigators for high-risk groups such as Medicaid patients, opioid-exposed individuals, and younger women. Combining opioid stewardship with nonpharmacologic supports would address both psychological and functional recovery. Finally, simple risk scores calibrated to early postoperative data would give frontline teams practical, actionable guidance.
