Using Multimodal Assessments to Reevaluate Depression Designations for Spine Surgery Candidates.


Journal

The Journal of bone and joint surgery. American volume
ISSN: 1535-1386
Titre abrégé: J Bone Joint Surg Am
Pays: United States
ID NLM: 0014030

Informations de publication

Date de publication:
25 Jul 2024
Historique:
medline: 26 7 2024
pubmed: 26 7 2024
entrez: 25 7 2024
Statut: aheadofprint

Résumé

Depression is common in spine surgery candidates and may influence postoperative outcomes. Ecological momentary assessments (EMAs) can overcome limitations of existing depression screening methods (e.g., recall bias, inaccuracy of historical diagnoses) by longitudinally monitoring depression symptoms in daily life. In this study, we compared EMA-based depression assessment with retrospective self-report (a 9-item Patient Health Questionnaire [PHQ-9]) and chart-based depression diagnosis in lumbar spine surgery candidates. We further examined the associations of each depression assessment method with surgical outcomes. Adult patients undergoing lumbar spine surgery (n = 122) completed EMAs quantifying depressive symptoms up to 5 times daily for 3 weeks preoperatively. Correlations (rank-biserial or Spearman) among EMA means, a chart-based depression history, and 1-time preoperative depression surveys (PHQ-9 and Psychache Scale) were analyzed. Confirmatory factor analysis was used to categorize PHQ-9 questions as somatic or non-somatic; subscores were compared with a propensity score-matched general population cohort. The associations of each screening modality with 6-month surgical outcomes (pain, disability, physical function, pain interference) were analyzed with multivariable regression. The association between EMA Depression scores and a depression history was weak (rrb = 0.34 [95% confidence interval (CI), 0.14 to 0.52]). Moderate correlations with EMA-measured depression symptoms were observed for the PHQ-9 (rs = 0.51 [95% CI, 0.37 to 0.63]) and the Psychache Scale (rs = 0.68 [95% CI, 0.57 to 0.76]). Compared with the matched general population cohort, spine surgery candidates endorsed similar non-somatic symptoms but significantly greater somatic symptoms on the PHQ-9. EMA Depression scores had a stronger association with 6-month surgical outcomes than the other depression screening modalities did. A history of depression in the medical record is not a reliable indication of preoperative depression symptom severity. Cross-sectional depression assessments such as PHQ-9 have stronger associations with daily depression symptoms but may conflate somatic depression symptoms with spine-related disability. As an alternative to these methods, mobile health technology and EMAs provide an opportunity to collect real-time, longitudinal data on depression symptom severity, potentially improving prognostic accuracy. Diagnostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Sections du résumé

BACKGROUND BACKGROUND
Depression is common in spine surgery candidates and may influence postoperative outcomes. Ecological momentary assessments (EMAs) can overcome limitations of existing depression screening methods (e.g., recall bias, inaccuracy of historical diagnoses) by longitudinally monitoring depression symptoms in daily life. In this study, we compared EMA-based depression assessment with retrospective self-report (a 9-item Patient Health Questionnaire [PHQ-9]) and chart-based depression diagnosis in lumbar spine surgery candidates. We further examined the associations of each depression assessment method with surgical outcomes.
METHODS METHODS
Adult patients undergoing lumbar spine surgery (n = 122) completed EMAs quantifying depressive symptoms up to 5 times daily for 3 weeks preoperatively. Correlations (rank-biserial or Spearman) among EMA means, a chart-based depression history, and 1-time preoperative depression surveys (PHQ-9 and Psychache Scale) were analyzed. Confirmatory factor analysis was used to categorize PHQ-9 questions as somatic or non-somatic; subscores were compared with a propensity score-matched general population cohort. The associations of each screening modality with 6-month surgical outcomes (pain, disability, physical function, pain interference) were analyzed with multivariable regression.
RESULTS RESULTS
The association between EMA Depression scores and a depression history was weak (rrb = 0.34 [95% confidence interval (CI), 0.14 to 0.52]). Moderate correlations with EMA-measured depression symptoms were observed for the PHQ-9 (rs = 0.51 [95% CI, 0.37 to 0.63]) and the Psychache Scale (rs = 0.68 [95% CI, 0.57 to 0.76]). Compared with the matched general population cohort, spine surgery candidates endorsed similar non-somatic symptoms but significantly greater somatic symptoms on the PHQ-9. EMA Depression scores had a stronger association with 6-month surgical outcomes than the other depression screening modalities did.
CONCLUSIONS CONCLUSIONS
A history of depression in the medical record is not a reliable indication of preoperative depression symptom severity. Cross-sectional depression assessments such as PHQ-9 have stronger associations with daily depression symptoms but may conflate somatic depression symptoms with spine-related disability. As an alternative to these methods, mobile health technology and EMAs provide an opportunity to collect real-time, longitudinal data on depression symptom severity, potentially improving prognostic accuracy.
LEVEL OF EVIDENCE METHODS
Diagnostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Identifiants

pubmed: 39052762
doi: 10.2106/JBJS.23.01195
pii: 00004623-990000000-01160
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 by The Journal of Bone and Joint Surgery, Incorporated.

Déclaration de conflit d'intérêts

Disclosure: This study was funded by grants from AO Spine North America, the Cervical Spine Research Society, the Scoliosis Research Society, the Foundation for Barnes-Jewish Hospital, the Washington University/BJC Healthcare Big Ideas Competition, and the National Institute of Mental Health (1F31MH124291-01A). The sponsors had no role in the study design, data collection, data interpretation, manuscript preparation, or decision to submit the manuscript for publication. The Disclosure of Potential Conflicts of Interest forms are provided with the online version of the article (http://links.lww.com/JBJS/I120).

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Auteurs

Braeden Benedict (B)

Department of Neurological Surgery, Washington University, St. Louis, Missouri.

Madelyn Frumkin (M)

Department of Psychology and Brain Sciences, Washington University, St. Louis, Missouri.

Kathleen Botterbush (K)

Department of Neurological Surgery, Washington University, St. Louis, Missouri.

Saad Javeed (S)

Department of Neurological Surgery, Washington University, St. Louis, Missouri.

Justin K Zhang (JK)

Department of Neurological Surgery, Washington University, St. Louis, Missouri.
Department of Neurological Surgery, University of Utah, Salt Lake City, Missouri.

Salim Yakdan (S)

Department of Neurological Surgery, Washington University, St. Louis, Missouri.

Brian J Neuman (BJ)

Department of Orthopedic Surgery, Washington University, St. Louis, Missouri.

Michael P Steinmetz (MP)

Department of Neurosurgery, Cleveland Clinic Lerner College of Medicine, Cleveland, Ohio.

Zoher Ghogawala (Z)

Department of Neurosurgery, Lahey Hospital and Medical Center, Burlington, Massachusetts.

Michael P Kelly (MP)

Department of Orthopedic Surgery, Rady Children's Hospital, San Diego, California.

Burel R Goodin (BR)

Department of Anesthesiology, Washington University, St. Louis, Missouri.

Jay F Piccirillo (JF)

Department of Otolaryngology, Washington University, St. Louis, Missouri.

Wilson Z Ray (WZ)

Department of Neurological Surgery, Washington University, St. Louis, Missouri.

Thomas L Rodebaugh (TL)

Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill, North Carolina.

Jacob K Greenberg (JK)

Department of Neurological Surgery, Washington University, St. Louis, Missouri.

Classifications MeSH