Prediction model for delirium in patients with cardiovascular surgery: development and validation
Abstract Background The aim of this study was to construct a nomogram model for discriminating the risk of delirium in patients undergoing cardiovascular surgery. Methods From January 2017 to June 2020, we collected data from 838 patients who underwent cardiovascular surgery at the Affiliated Hospit...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-10-01
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| Series: | Journal of Cardiothoracic Surgery |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13019-022-02005-3 |
| _version_ | 1818025993319743488 |
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| author | Yanghui Xu Yunjiao Meng Xuan Qian Honglei Wu Yanmei Liu Peipei Ji Honglin Chen |
| author_facet | Yanghui Xu Yunjiao Meng Xuan Qian Honglei Wu Yanmei Liu Peipei Ji Honglin Chen |
| author_sort | Yanghui Xu |
| collection | DOAJ |
| description | Abstract Background The aim of this study was to construct a nomogram model for discriminating the risk of delirium in patients undergoing cardiovascular surgery. Methods From January 2017 to June 2020, we collected data from 838 patients who underwent cardiovascular surgery at the Affiliated Hospital of Nantong University. Patients were randomly divided into a training set and a validation set at a 5:5 ratio. A nomogram model was established based on logistic regression. Discrimination and calibration were used to evaluate the predictive performance of the model. Results The incidence of delirium was 48.3%. A total of 389 patients were in the modelling group, and 449 patients were in the verification group. Logistic regression analysis showed that CPB duration (OR $$=$$ = 1.004, 95% CI: 1.001–1.008, $$P=$$ P = 0.018), postoperative serum sodium (OR $$=$$ = 1.112, 95% CI: 1.049–1.178, $$P<$$ P < 0.001), age (OR $$=$$ = 1.027, 95% CI: 1.006–1.048, $$P=$$ P = 0.011), and postoperative MV (OR $$=$$ = 1.019, 95% CI: 1.008–1.030, $$P<$$ P < 0.001) were independent risk factors. The results showed that AUC $$^\text {ROC}$$ ROC was 0.712 and that the 95% CI was 0.661–0.762. The Hosmer-Lemeshow goodness of fit test showed that the predicted results of the model were in good agreement with the actual situation ( $$\chi ^{2}=$$ χ 2 = 6.200, $$P=$$ P = 0.625). The results of verification showed that the AUC $$^\text {ROC}$$ ROC was 0.705, and the 95% CI was 0.657–0.752. The Hosmer-Lemeshow goodness of fit test results were $$\chi ^{2}=$$ χ 2 = 8.653 and $$P=$$ P = 0.372, indicating that the predictive effect of the model is good. Conclusions The establishment of the model provides accurate and objective assessment tools for medical staff to start preventing postoperative delirium in a purposeful and focused manner when a patient enters the CSICU after surgery. |
| first_indexed | 2024-12-10T04:24:56Z |
| format | Article |
| id | doaj.art-903476bb1eb84734b192040f277bf713 |
| institution | Directory Open Access Journal |
| issn | 1749-8090 |
| language | English |
| last_indexed | 2024-12-10T04:24:56Z |
| publishDate | 2022-10-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Cardiothoracic Surgery |
| spelling | doaj.art-903476bb1eb84734b192040f277bf7132022-12-22T02:02:18ZengBMCJournal of Cardiothoracic Surgery1749-80902022-10-011711910.1186/s13019-022-02005-3Prediction model for delirium in patients with cardiovascular surgery: development and validationYanghui Xu0Yunjiao Meng1Xuan Qian2Honglei Wu3Yanmei Liu4Peipei Ji5Honglin Chen6Departments of Cardiovascular Surgery Intensive Care Unit, Affiliated Hospital of Nantong UniversityDepartments of Cardiovascular Surgery Intensive Care Unit, Affiliated Hospital of Nantong UniversityDepartments of Cardiovascular Surgery Intensive Care Unit, Affiliated Hospital of Nantong UniversityDepartments of Cardiovascular Surgery Intensive Care Unit, Affiliated Hospital of Nantong UniversityDepartments of Cardiovascular Surgery Intensive Care Unit, Affiliated Hospital of Nantong UniversityDepartments of Cardiovascular Surgery Intensive Care Unit, Affiliated Hospital of Nantong UniversitySchool of Public Health, Nantong UniversityAbstract Background The aim of this study was to construct a nomogram model for discriminating the risk of delirium in patients undergoing cardiovascular surgery. Methods From January 2017 to June 2020, we collected data from 838 patients who underwent cardiovascular surgery at the Affiliated Hospital of Nantong University. Patients were randomly divided into a training set and a validation set at a 5:5 ratio. A nomogram model was established based on logistic regression. Discrimination and calibration were used to evaluate the predictive performance of the model. Results The incidence of delirium was 48.3%. A total of 389 patients were in the modelling group, and 449 patients were in the verification group. Logistic regression analysis showed that CPB duration (OR $$=$$ = 1.004, 95% CI: 1.001–1.008, $$P=$$ P = 0.018), postoperative serum sodium (OR $$=$$ = 1.112, 95% CI: 1.049–1.178, $$P<$$ P < 0.001), age (OR $$=$$ = 1.027, 95% CI: 1.006–1.048, $$P=$$ P = 0.011), and postoperative MV (OR $$=$$ = 1.019, 95% CI: 1.008–1.030, $$P<$$ P < 0.001) were independent risk factors. The results showed that AUC $$^\text {ROC}$$ ROC was 0.712 and that the 95% CI was 0.661–0.762. The Hosmer-Lemeshow goodness of fit test showed that the predicted results of the model were in good agreement with the actual situation ( $$\chi ^{2}=$$ χ 2 = 6.200, $$P=$$ P = 0.625). The results of verification showed that the AUC $$^\text {ROC}$$ ROC was 0.705, and the 95% CI was 0.657–0.752. The Hosmer-Lemeshow goodness of fit test results were $$\chi ^{2}=$$ χ 2 = 8.653 and $$P=$$ P = 0.372, indicating that the predictive effect of the model is good. Conclusions The establishment of the model provides accurate and objective assessment tools for medical staff to start preventing postoperative delirium in a purposeful and focused manner when a patient enters the CSICU after surgery.https://doi.org/10.1186/s13019-022-02005-3Cardiovascular surgeryDeliriumNomogram modelDiscriminationCalibration |
| spellingShingle | Yanghui Xu Yunjiao Meng Xuan Qian Honglei Wu Yanmei Liu Peipei Ji Honglin Chen Prediction model for delirium in patients with cardiovascular surgery: development and validation Journal of Cardiothoracic Surgery Cardiovascular surgery Delirium Nomogram model Discrimination Calibration |
| title | Prediction model for delirium in patients with cardiovascular surgery: development and validation |
| title_full | Prediction model for delirium in patients with cardiovascular surgery: development and validation |
| title_fullStr | Prediction model for delirium in patients with cardiovascular surgery: development and validation |
| title_full_unstemmed | Prediction model for delirium in patients with cardiovascular surgery: development and validation |
| title_short | Prediction model for delirium in patients with cardiovascular surgery: development and validation |
| title_sort | prediction model for delirium in patients with cardiovascular surgery development and validation |
| topic | Cardiovascular surgery Delirium Nomogram model Discrimination Calibration |
| url | https://doi.org/10.1186/s13019-022-02005-3 |
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