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Background <p>A method for identification of chronic depression after aneurysmal subarachnoid hemorrhage (aSAH), risk stratification, and counseling is needed. This study aimed to develop a scoring system for post-aSAH depression and a user interface to supplement discharge counseling for patients.</p> Methods <p>Based on a published prediction model for posttreatment depression risk among aSAH patients, a scale was developed using the beta coefficients of the final predictive model. The 5-point scale was based on 4 characteristics: tobacco use (2 points), chronic obstructive pulmonary disease (1 point), diabetes (1 point), and nonsaccular aneurysm type (1 point). A score of 1 was defined as low risk, a score of 2 or 3 was defined as medium risk, and a score of 4 or 5 was defined as high risk. The scale was then validated in a cohort of 514 patients treated at a single center. An interactive application was developed.</p> Results <p>The rate of posttreatment depression among aSAH patients was 29.6% (152 of 514). The low-risk group had a nonsignificant increase in depression risk (relative risk [RR] [95% CI] = 0.89 [0.59–1.33], p = 0.71) compared with those with a score of 0. Significant increases in depression risk were found in the medium-risk (RR [95% CI] = 1.78 [1.34–2.37], p &lt; 0.001) and high-risk (RR [95% CI] = 2.29 [1.28–4.09], p &lt; 0.001) groups.</p> Conclusions <p>A substantial percentage of patients in our cohort experienced major depressive disorder symptoms after aSAH treatment. An easy-to-use prediction and risk stratification tool for posttreatment depression among aSAH patients is available.</p>

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Depression after aneurysmal subarachnoid hemorrhage: development of a screening tool and discharge user interface

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年6月24日

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  • Stefan W. Koester,
  • Brandon K. Hoglund,
  • Joelle N. Hartke,
  • Robert F. Rudy,
  • Ashutosh P. Jadhav,
  • Andrew F. Ducruet,
  • Felipe C. Albuquerque,
  • Joshua S. Catapano,
  • Laura A. Snyder,
  • Michael T. Lawton

摘要

Background

A method for identification of chronic depression after aneurysmal subarachnoid hemorrhage (aSAH), risk stratification, and counseling is needed. This study aimed to develop a scoring system for post-aSAH depression and a user interface to supplement discharge counseling for patients.

Methods

Based on a published prediction model for posttreatment depression risk among aSAH patients, a scale was developed using the beta coefficients of the final predictive model. The 5-point scale was based on 4 characteristics: tobacco use (2 points), chronic obstructive pulmonary disease (1 point), diabetes (1 point), and nonsaccular aneurysm type (1 point). A score of 1 was defined as low risk, a score of 2 or 3 was defined as medium risk, and a score of 4 or 5 was defined as high risk. The scale was then validated in a cohort of 514 patients treated at a single center. An interactive application was developed.

Results

The rate of posttreatment depression among aSAH patients was 29.6% (152 of 514). The low-risk group had a nonsignificant increase in depression risk (relative risk [RR] [95% CI] = 0.89 [0.59–1.33], p = 0.71) compared with those with a score of 0. Significant increases in depression risk were found in the medium-risk (RR [95% CI] = 1.78 [1.34–2.37], p < 0.001) and high-risk (RR [95% CI] = 2.29 [1.28–4.09], p < 0.001) groups.

Conclusions

A substantial percentage of patients in our cohort experienced major depressive disorder symptoms after aSAH treatment. An easy-to-use prediction and risk stratification tool for posttreatment depression among aSAH patients is available.