The value of pregnancy-related factors in the prediction of cardiovascular disease: a systematic review
Aims: Pregnancy-related factors are associated with an increased risk of cardiovascular disease (CVD) and may help identify women at high cardiovascular risk. This study aims to provide an overview of prediction models for CVD which included pregnancy-related factors and to evaluate the impact of th...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-12-01
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| Series: | International Journal of Cardiology. Cardiovascular Risk and Prevention |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772487525001217 |
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| author | Zhixun Yang Hendrikus J.A. van Os Janet M. Kist Rimke C. Vos Hedwig M.M. Vos Niels H. Chavannes Annelieke H.J. Petrus |
| author_facet | Zhixun Yang Hendrikus J.A. van Os Janet M. Kist Rimke C. Vos Hedwig M.M. Vos Niels H. Chavannes Annelieke H.J. Petrus |
| author_sort | Zhixun Yang |
| collection | DOAJ |
| description | Aims: Pregnancy-related factors are associated with an increased risk of cardiovascular disease (CVD) and may help identify women at high cardiovascular risk. This study aims to provide an overview of prediction models for CVD which included pregnancy-related factors and to evaluate the impact of these factors on model performance. Methods: PubMed and Embase were systematically searched until March 2023 for studies reporting on the development or validation of prediction models for CVD which included pregnancy-related factors. Data extraction was performed using the CHARMS checklist. Risk of bias was assessed using PROBAST. Results: Seven studies were included. C-indices ranged between 0.63 and 0.79. Adding pregnancy-related factors resulted in improved C-index in four studies, ranging from 0.0033 (95 % confidence interval [CI]: 0.0022–0.0051) to 0.004 (95 % CI: 0.002–0.006). Net reclassification improvement (NRI) for events was improved in two studies, ranging from 0.01 (95 % CI: 0.003–0.02) to 0.038 (95 % CI: 0.003–0.074). NRI for non-events was improved in three studies, ranging from 0.002 (95 % CI: 0.0001–0.005) to 0.02 (95 % CI: 0.001–0.04). Two studies showed both low risk of bias and low concern regarding applicability. Subgroup analyses by age in three studies indicated larger improvements in model performance in younger women. Conclusion: Addition of pregnancy-related factors results in limited improvements in performance of CVD prediction models, with relatively larger improvements in younger women. |
| format | Article |
| id | doaj-art-b9fc0d631cc042c2aa1ff1356c96c94f |
| institution | Kabale University |
| issn | 2772-4875 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Cardiology. Cardiovascular Risk and Prevention |
| spelling | doaj-art-b9fc0d631cc042c2aa1ff1356c96c94f2025-08-20T04:02:31ZengElsevierInternational Journal of Cardiology. Cardiovascular Risk and Prevention2772-48752025-12-012720048310.1016/j.ijcrp.2025.200483The value of pregnancy-related factors in the prediction of cardiovascular disease: a systematic reviewZhixun Yang0Hendrikus J.A. van Os1Janet M. Kist2Rimke C. Vos3Hedwig M.M. Vos4Niels H. Chavannes5Annelieke H.J. Petrus6Department of Public Health & Primary Care, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333, ZA, the Netherlands; Health Campus The Hague, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333, ZA, the NetherlandsDepartment of Public Health & Primary Care, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333, ZA, the Netherlands; Health Campus The Hague, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333, ZA, the NetherlandsDepartment of Public Health & Primary Care, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333, ZA, the Netherlands; Health Campus The Hague, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333, ZA, the NetherlandsDepartment of Public Health & Primary Care, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333, ZA, the Netherlands; Health Campus The Hague, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333, ZA, the NetherlandsDepartment of Public Health & Primary Care, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333, ZA, the Netherlands; Health Campus The Hague, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333, ZA, the NetherlandsDepartment of Public Health & Primary Care, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333, ZA, the Netherlands; National eHealth Living Lab, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333, ZA, the NetherlandsDepartment of Public Health & Primary Care, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333, ZA, the Netherlands; Health Campus The Hague, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333, ZA, the Netherlands; Corresponding author. Department of Public Health & Primary Care, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333, ZA, the Netherlands.Aims: Pregnancy-related factors are associated with an increased risk of cardiovascular disease (CVD) and may help identify women at high cardiovascular risk. This study aims to provide an overview of prediction models for CVD which included pregnancy-related factors and to evaluate the impact of these factors on model performance. Methods: PubMed and Embase were systematically searched until March 2023 for studies reporting on the development or validation of prediction models for CVD which included pregnancy-related factors. Data extraction was performed using the CHARMS checklist. Risk of bias was assessed using PROBAST. Results: Seven studies were included. C-indices ranged between 0.63 and 0.79. Adding pregnancy-related factors resulted in improved C-index in four studies, ranging from 0.0033 (95 % confidence interval [CI]: 0.0022–0.0051) to 0.004 (95 % CI: 0.002–0.006). Net reclassification improvement (NRI) for events was improved in two studies, ranging from 0.01 (95 % CI: 0.003–0.02) to 0.038 (95 % CI: 0.003–0.074). NRI for non-events was improved in three studies, ranging from 0.002 (95 % CI: 0.0001–0.005) to 0.02 (95 % CI: 0.001–0.04). Two studies showed both low risk of bias and low concern regarding applicability. Subgroup analyses by age in three studies indicated larger improvements in model performance in younger women. Conclusion: Addition of pregnancy-related factors results in limited improvements in performance of CVD prediction models, with relatively larger improvements in younger women.http://www.sciencedirect.com/science/article/pii/S2772487525001217PregnancyCardiovascular diseaseWomenFemalePrediction model |
| spellingShingle | Zhixun Yang Hendrikus J.A. van Os Janet M. Kist Rimke C. Vos Hedwig M.M. Vos Niels H. Chavannes Annelieke H.J. Petrus The value of pregnancy-related factors in the prediction of cardiovascular disease: a systematic review International Journal of Cardiology. Cardiovascular Risk and Prevention Pregnancy Cardiovascular disease Women Female Prediction model |
| title | The value of pregnancy-related factors in the prediction of cardiovascular disease: a systematic review |
| title_full | The value of pregnancy-related factors in the prediction of cardiovascular disease: a systematic review |
| title_fullStr | The value of pregnancy-related factors in the prediction of cardiovascular disease: a systematic review |
| title_full_unstemmed | The value of pregnancy-related factors in the prediction of cardiovascular disease: a systematic review |
| title_short | The value of pregnancy-related factors in the prediction of cardiovascular disease: a systematic review |
| title_sort | value of pregnancy related factors in the prediction of cardiovascular disease a systematic review |
| topic | Pregnancy Cardiovascular disease Women Female Prediction model |
| url | http://www.sciencedirect.com/science/article/pii/S2772487525001217 |
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