Validation of Risk Scoring Systems in Predicting Adverse Cardiac Outcomes in Pregnant Women With Valvular Heart Disease
Abstract. Objective:. To validate and compare the performance of four risk stratification tools—the DEVI (Adverse Cardiac Events in Valvular Rheumatic Heart Disease in Pregnancy) score, Zwangerschap bij Aangeboren Hartafwijking (ZAHARA) score, Cardiac Disease in Pregnancy II (CARPREG II), and modif...
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Health
2025-07-01
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| Series: | Maternal-Fetal Medicine |
| Online Access: | http://journals.lww.com/10.1097/FM9.0000000000000291 |
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| author | Malini Sukayogula Tarakeswari Surapaneni Anish Keepanasseril Jue Li Yang Pan |
| author_facet | Malini Sukayogula Tarakeswari Surapaneni Anish Keepanasseril Jue Li Yang Pan |
| author_sort | Malini Sukayogula |
| collection | DOAJ |
| description | Abstract.
Objective:. To validate and compare the performance of four risk stratification tools—the DEVI (Adverse Cardiac Events in Valvular Rheumatic Heart Disease in Pregnancy) score, Zwangerschap bij Aangeboren Hartafwijking (ZAHARA) score, Cardiac Disease in Pregnancy II (CARPREG II), and modified WHO (mWHO) classification—in predicting adverse cardiac events during pregnancy in women with valvular heart disease (VHD).
Methods:. This retrospective cohort study was conducted at Fernandez Hospital, a tertiary care referral center in Hyderabad, India, utilizing clinical data from pregnancies managed between January 2011 and December 2023. The primary outcome was the development of composite adverse cardiac events. Discriminative ability was assessed using the area under the receiver operating characteristic curve (AUC), calibration was evaluated via calibration plots, and clinical utility was determined by decision curve analysis (DCA). Categorical variables were reported as frequencies and percentages and continuous variables were presented as means with standard deviations or medians with interquartile ranges. Individual risk assessment was conducted using both the CARPREG II and DEVI risk stratification models, while the ZAHARA score was calculated by aggregating weighted parameters according to established scoring criteria.
Results:. The study enrolled 176 women and analyzed 205 pregnancies with adverse cardiac events in 19 pregnancies (9.3%). The DEVI score demonstrated superior discrimination (AUC = 0.846, 95% CI: 0.765-0.927, P < 0.001), followed by mWHO (AUC = 0.826, 95% CI: 0.736–0.917, P < 0.001), CARPREG II (AUC = 0.762, 95% CI: 0.652–0.872, P < 0.001), and ZAHARA (AUC = 0.716, 95% CI: 0.628–0.803, P < 0.001). Calibration plots revealed an overestimation of risk at higher probabilities for DEVI and CARPREG II. DCA indicated net clinical benefit for both tools at 10–30% threshold probabilities.
Conclusion:. The DEVI score showed the highest discriminative performance, though its calibration and clinical utility were comparable to CARPREG II. These findings support its use for risk stratification in pregnant women with VHD, particularly in resource-limited settings where rheumatic VHD predominates. |
| format | Article |
| id | doaj-art-a44acac6fdc640328d93448d75ef22dc |
| institution | DOAJ |
| issn | 2096-6954 2641-5895 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Wolters Kluwer Health |
| record_format | Article |
| series | Maternal-Fetal Medicine |
| spelling | doaj-art-a44acac6fdc640328d93448d75ef22dc2025-08-20T02:48:15ZengWolters Kluwer HealthMaternal-Fetal Medicine2096-69542641-58952025-07-017314515010.1097/FM9.0000000000000291202507000-00003Validation of Risk Scoring Systems in Predicting Adverse Cardiac Outcomes in Pregnant Women With Valvular Heart DiseaseMalini Sukayogula0Tarakeswari Surapaneni1Anish Keepanasseril2Jue LiYang Pan1 Department of Obstetrics and Gynecology, and Obstetric Medicine, Fernandez Hospital, Hyderabad, Telangana 500029, India1 Department of Obstetrics and Gynecology, and Obstetric Medicine, Fernandez Hospital, Hyderabad, Telangana 500029, India2 Department of Obstetrics and Gynecology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry 605006, IndiaAbstract. Objective:. To validate and compare the performance of four risk stratification tools—the DEVI (Adverse Cardiac Events in Valvular Rheumatic Heart Disease in Pregnancy) score, Zwangerschap bij Aangeboren Hartafwijking (ZAHARA) score, Cardiac Disease in Pregnancy II (CARPREG II), and modified WHO (mWHO) classification—in predicting adverse cardiac events during pregnancy in women with valvular heart disease (VHD). Methods:. This retrospective cohort study was conducted at Fernandez Hospital, a tertiary care referral center in Hyderabad, India, utilizing clinical data from pregnancies managed between January 2011 and December 2023. The primary outcome was the development of composite adverse cardiac events. Discriminative ability was assessed using the area under the receiver operating characteristic curve (AUC), calibration was evaluated via calibration plots, and clinical utility was determined by decision curve analysis (DCA). Categorical variables were reported as frequencies and percentages and continuous variables were presented as means with standard deviations or medians with interquartile ranges. Individual risk assessment was conducted using both the CARPREG II and DEVI risk stratification models, while the ZAHARA score was calculated by aggregating weighted parameters according to established scoring criteria. Results:. The study enrolled 176 women and analyzed 205 pregnancies with adverse cardiac events in 19 pregnancies (9.3%). The DEVI score demonstrated superior discrimination (AUC = 0.846, 95% CI: 0.765-0.927, P < 0.001), followed by mWHO (AUC = 0.826, 95% CI: 0.736–0.917, P < 0.001), CARPREG II (AUC = 0.762, 95% CI: 0.652–0.872, P < 0.001), and ZAHARA (AUC = 0.716, 95% CI: 0.628–0.803, P < 0.001). Calibration plots revealed an overestimation of risk at higher probabilities for DEVI and CARPREG II. DCA indicated net clinical benefit for both tools at 10–30% threshold probabilities. Conclusion:. The DEVI score showed the highest discriminative performance, though its calibration and clinical utility were comparable to CARPREG II. These findings support its use for risk stratification in pregnant women with VHD, particularly in resource-limited settings where rheumatic VHD predominates.http://journals.lww.com/10.1097/FM9.0000000000000291 |
| spellingShingle | Malini Sukayogula Tarakeswari Surapaneni Anish Keepanasseril Jue Li Yang Pan Validation of Risk Scoring Systems in Predicting Adverse Cardiac Outcomes in Pregnant Women With Valvular Heart Disease Maternal-Fetal Medicine |
| title | Validation of Risk Scoring Systems in Predicting Adverse Cardiac Outcomes in Pregnant Women With Valvular Heart Disease |
| title_full | Validation of Risk Scoring Systems in Predicting Adverse Cardiac Outcomes in Pregnant Women With Valvular Heart Disease |
| title_fullStr | Validation of Risk Scoring Systems in Predicting Adverse Cardiac Outcomes in Pregnant Women With Valvular Heart Disease |
| title_full_unstemmed | Validation of Risk Scoring Systems in Predicting Adverse Cardiac Outcomes in Pregnant Women With Valvular Heart Disease |
| title_short | Validation of Risk Scoring Systems in Predicting Adverse Cardiac Outcomes in Pregnant Women With Valvular Heart Disease |
| title_sort | validation of risk scoring systems in predicting adverse cardiac outcomes in pregnant women with valvular heart disease |
| url | http://journals.lww.com/10.1097/FM9.0000000000000291 |
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