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Development and validation of the risk score for estimating suicide attempt in patients with major depressive disorder.

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Title: Development and validation of the risk score for estimating suicide attempt in patients with major depressive disorder.
Authors: Huang, Zhi-Xin (AUTHOR), Wang, Qizhang (AUTHOR), Lei, Shasha (AUTHOR), Zhang, Wenli (AUTHOR), Huang, Ying (AUTHOR), Zhang, Caiping (AUTHOR), Zhang, Xiangyang (AUTHOR)
Source: Social Psychiatry & Psychiatric Epidemiology. Jun2024, Vol. 59 Issue 6, p1029-1037. 9p.
Subjects: Mental depression, Attempted suicide, Systolic blood pressure, Psychotherapy, Identification, Internet servers
Geographic Terms: China
Abstract: Early identification of high-risk patients with Major depressive disorder (MDD) having suicide attempts (SAs) is essential for timely targeted and tailored psychological interventions and medications. This study aimed to develop and validate a web-based dynamic nomogram as a personalized predictor of SA in MDD patients. A dynamic nomogram was developed using data collected from 1718 patients in China. The dynamic model was established based on a machine learning-based regression technique in the training cohort. We validated the nomogram internally using 1000 bootstrap replications. The nomogram performance was assessed using estimates of discrimination (via the concordance index) and calibration (calibration plots). The nomogram incorporated five predictors, including Hamilton anxiety rating scale (odds ratio [OR]: 1.255), marital status (OR: 0.618), clinical global impressions (OR: 2.242), anti-thyroid peroxidase antibodies (OR: 1.002), and systolic pressure levels (OR: 1.037). The model demonstrated good overall discrimination (Harrell's C-index = 0.823). Using decision curve analysis, this model also demonstrated good clinical applicability. An online web server was constructed (https://odywong.shinyapps.io/PRSM/) to facilitate the use of the nomogram. Based on these results, our study developed a nomogram to predict SA in MDD patients. The application of this nomogram may help for patients and clinicians to make decisions. [ABSTRACT FROM AUTHOR]
Copyright of Social Psychiatry & Psychiatric Epidemiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Development and validation of the risk score for estimating suicide attempt in patients with major depressive disorder.
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  Data: <searchLink fieldCode="AR" term="%22Huang%2C+Zhi-Xin%22">Huang, Zhi-Xin</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Qizhang%22">Wang, Qizhang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lei%2C+Shasha%22">Lei, Shasha</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Wenli%22">Zhang, Wenli</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huang%2C+Ying%22">Huang, Ying</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Caiping%22">Zhang, Caiping</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Xiangyang%22">Zhang, Xiangyang</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Social+Psychiatry+%26+Psychiatric+Epidemiology%22">Social Psychiatry & Psychiatric Epidemiology</searchLink>. Jun2024, Vol. 59 Issue 6, p1029-1037. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink><br /><searchLink fieldCode="DE" term="%22Attempted+suicide%22">Attempted suicide</searchLink><br /><searchLink fieldCode="DE" term="%22Systolic+blood+pressure%22">Systolic blood pressure</searchLink><br /><searchLink fieldCode="DE" term="%22Psychotherapy%22">Psychotherapy</searchLink><br /><searchLink fieldCode="DE" term="%22Identification%22">Identification</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+servers%22">Internet servers</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Early identification of high-risk patients with Major depressive disorder (MDD) having suicide attempts (SAs) is essential for timely targeted and tailored psychological interventions and medications. This study aimed to develop and validate a web-based dynamic nomogram as a personalized predictor of SA in MDD patients. A dynamic nomogram was developed using data collected from 1718 patients in China. The dynamic model was established based on a machine learning-based regression technique in the training cohort. We validated the nomogram internally using 1000 bootstrap replications. The nomogram performance was assessed using estimates of discrimination (via the concordance index) and calibration (calibration plots). The nomogram incorporated five predictors, including Hamilton anxiety rating scale (odds ratio [OR]: 1.255), marital status (OR: 0.618), clinical global impressions (OR: 2.242), anti-thyroid peroxidase antibodies (OR: 1.002), and systolic pressure levels (OR: 1.037). The model demonstrated good overall discrimination (Harrell's C-index = 0.823). Using decision curve analysis, this model also demonstrated good clinical applicability. An online web server was constructed (https://odywong.shinyapps.io/PRSM/) to facilitate the use of the nomogram. Based on these results, our study developed a nomogram to predict SA in MDD patients. The application of this nomogram may help for patients and clinicians to make decisions. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Social Psychiatry & Psychiatric Epidemiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s00127-023-02572-3
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      – Code: eng
        Text: English
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      – SubjectFull: Attempted suicide
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      – SubjectFull: Systolic blood pressure
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      – SubjectFull: Psychotherapy
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      – SubjectFull: Identification
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      – SubjectFull: Internet servers
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      – SubjectFull: China
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      – TitleFull: Development and validation of the risk score for estimating suicide attempt in patients with major depressive disorder.
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            NameFull: Huang, Zhi-Xin
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            NameFull: Wang, Qizhang
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              M: 06
              Text: Jun2024
              Type: published
              Y: 2024
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