Development and Validation of a Nomogram for Predicting the Unresolved Risk of Parents of Adolescents With Psychiatric Diagnoses
Evaluating the resolution of parents of ill children can help in taking measures to alleviate their distress in a timely manner and promote children's rehabilitation. This study aims to develop and validate a nomogram for predicting the unresolved risk of parents of adolescents with psychiatric...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-04-01
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| Series: | Frontiers in Psychiatry |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2022.796384/full |
| _version_ | 1818744645035753472 |
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| author | Qingqing Sheng Chunfeng Cai Pingdong Li Lihua Chen Xi Zhang Xinyu Wang Yucui Gong |
| author_facet | Qingqing Sheng Chunfeng Cai Pingdong Li Lihua Chen Xi Zhang Xinyu Wang Yucui Gong |
| author_sort | Qingqing Sheng |
| collection | DOAJ |
| description | Evaluating the resolution of parents of ill children can help in taking measures to alleviate their distress in a timely manner and promote children's rehabilitation. This study aims to develop and validate a nomogram for predicting the unresolved risk of parents of adolescents with psychiatric diagnoses. The data for 130 parents (modeling dataset = 90; validation dataset = 40) were collected. A nomogram was first developed to predict the unresolved risk for parents based on the logistic regression analysis in the modeling dataset. The internal and external validation then were conducted through quantifying the performance of the nomogram with respect to discrimination and calibration, respectively, in the modeling and validation datasets. Finally, the clinical use was evaluated through decision curve analyses (DCA) in the overall dataset. In the results, the nomogram consisted of six risk factors and provided a good discrimination with areas under the curve of 0.920 (95% CI, 0.862–0.978) in internal validation and 0.886 (95% CI, 0.786–0.986) in external validation. The calibration with good consistency between the observed probability and predicted probability was also found in both internal and external validation. DCA showed that the nomogram had a good clinical utility. In conclusion, the proposed nomogram exhibited a favorable performance with regard to its predictive accuracy, discrimination capability, and clinical utility, and, thus, can be used as a convenient and reliable tool for predicting the unresolved risk of parents of children with psychiatric diagnoses. |
| first_indexed | 2024-12-18T02:47:36Z |
| format | Article |
| id | doaj.art-a60eb2ae8e154afb8e1da61e64301cfb |
| institution | Directory Open Access Journal |
| issn | 1664-0640 |
| language | English |
| last_indexed | 2024-12-18T02:47:36Z |
| publishDate | 2022-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychiatry |
| spelling | doaj.art-a60eb2ae8e154afb8e1da61e64301cfb2022-12-21T21:23:31ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402022-04-011310.3389/fpsyt.2022.796384796384Development and Validation of a Nomogram for Predicting the Unresolved Risk of Parents of Adolescents With Psychiatric DiagnosesQingqing Sheng0Chunfeng Cai1Pingdong Li2Lihua Chen3Xi Zhang4Xinyu Wang5Yucui Gong6Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, ChinaSchool of Health Sciences, Wuhan University, Wuhan, ChinaNursing Department, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, ChinaGuangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, ChinaThe First Clinical Medical College, Anhui Medical University, Hefei, ChinaSchool of Health Sciences, Wuhan University, Wuhan, ChinaNursing Department, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, ChinaEvaluating the resolution of parents of ill children can help in taking measures to alleviate their distress in a timely manner and promote children's rehabilitation. This study aims to develop and validate a nomogram for predicting the unresolved risk of parents of adolescents with psychiatric diagnoses. The data for 130 parents (modeling dataset = 90; validation dataset = 40) were collected. A nomogram was first developed to predict the unresolved risk for parents based on the logistic regression analysis in the modeling dataset. The internal and external validation then were conducted through quantifying the performance of the nomogram with respect to discrimination and calibration, respectively, in the modeling and validation datasets. Finally, the clinical use was evaluated through decision curve analyses (DCA) in the overall dataset. In the results, the nomogram consisted of six risk factors and provided a good discrimination with areas under the curve of 0.920 (95% CI, 0.862–0.978) in internal validation and 0.886 (95% CI, 0.786–0.986) in external validation. The calibration with good consistency between the observed probability and predicted probability was also found in both internal and external validation. DCA showed that the nomogram had a good clinical utility. In conclusion, the proposed nomogram exhibited a favorable performance with regard to its predictive accuracy, discrimination capability, and clinical utility, and, thus, can be used as a convenient and reliable tool for predicting the unresolved risk of parents of children with psychiatric diagnoses.https://www.frontiersin.org/articles/10.3389/fpsyt.2022.796384/fullpsychiatric diagnosesnomogramparentsresolutionprediction modelunresolved risk |
| spellingShingle | Qingqing Sheng Chunfeng Cai Pingdong Li Lihua Chen Xi Zhang Xinyu Wang Yucui Gong Development and Validation of a Nomogram for Predicting the Unresolved Risk of Parents of Adolescents With Psychiatric Diagnoses Frontiers in Psychiatry psychiatric diagnoses nomogram parents resolution prediction model unresolved risk |
| title | Development and Validation of a Nomogram for Predicting the Unresolved Risk of Parents of Adolescents With Psychiatric Diagnoses |
| title_full | Development and Validation of a Nomogram for Predicting the Unresolved Risk of Parents of Adolescents With Psychiatric Diagnoses |
| title_fullStr | Development and Validation of a Nomogram for Predicting the Unresolved Risk of Parents of Adolescents With Psychiatric Diagnoses |
| title_full_unstemmed | Development and Validation of a Nomogram for Predicting the Unresolved Risk of Parents of Adolescents With Psychiatric Diagnoses |
| title_short | Development and Validation of a Nomogram for Predicting the Unresolved Risk of Parents of Adolescents With Psychiatric Diagnoses |
| title_sort | development and validation of a nomogram for predicting the unresolved risk of parents of adolescents with psychiatric diagnoses |
| topic | psychiatric diagnoses nomogram parents resolution prediction model unresolved risk |
| url | https://www.frontiersin.org/articles/10.3389/fpsyt.2022.796384/full |
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