The predictive value of neutrophil to high-density lipoprotein cholesterol ratio in early pregnancy for gestational diabetes based on nomogram
Abstract Early prediction of gestational diabetes mellitus (GDM) is particularly important. The role of neutrophil to high-density lipoprotein cholesterol (HDL-C) ratio (NHR) in GDM is unclear. This study aims to explore the predictive value of early pregnancy NHR in GDM. A case-control study was co...
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| Language: | English |
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Nature Portfolio
2025-08-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-13051-x |
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| author | Yuehan Ma Jianbing Sun Ning Yuan Sixu Xin Dan Zhao Xiaomei Zhang |
| author_facet | Yuehan Ma Jianbing Sun Ning Yuan Sixu Xin Dan Zhao Xiaomei Zhang |
| author_sort | Yuehan Ma |
| collection | DOAJ |
| description | Abstract Early prediction of gestational diabetes mellitus (GDM) is particularly important. The role of neutrophil to high-density lipoprotein cholesterol (HDL-C) ratio (NHR) in GDM is unclear. This study aims to explore the predictive value of early pregnancy NHR in GDM. A case-control study was conducted involving 1421 pregnant women, randomly divided into a training dataset and a validation set. Routine clinical and laboratory information were collected. Logistic regression was performed and nomogram was established to determine the diagnostic efficacy of NHR for GDM. We evaluated nomogram through receiver operating characteristic curves, calibration curves, and decision curve analysis (DCA). Compared with non-GDM, early pregnancy NHR was significantly elevated in GDM. Logistic regression indicated that NHR was an independent risk factor for GDM. A nomogram model was constructed using NHR, age, body mass index, glycated hemoglobin, and fasting blood glucose as factors to predict GDM in early pregnancy. The calibration curve and DCA demonstrated strong predictive ability. The DCA result indicated that the model has clinical application value. In GDM subjects, NHR levels significantly increase in early pregnancy and are closely related to the occurrence of GDM. NHR has good predictive diagnostic performance. |
| format | Article |
| id | doaj-art-ca02fb826ef841c69c127208603c72bd |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-ca02fb826ef841c69c127208603c72bd2025-08-24T11:18:19ZengNature PortfolioScientific Reports2045-23222025-08-011511710.1038/s41598-025-13051-xThe predictive value of neutrophil to high-density lipoprotein cholesterol ratio in early pregnancy for gestational diabetes based on nomogramYuehan Ma0Jianbing Sun1Ning Yuan2Sixu Xin3Dan Zhao4Xiaomei Zhang5Department of Endocrinology, Peking University International HospitalDepartment of Endocrinology, Peking University International HospitalDepartment of Endocrinology, Peking University International HospitalDepartment of Endocrinology, Peking University International HospitalDepartment of Endocrinology, Peking University International HospitalDepartment of Endocrinology, Peking University International HospitalAbstract Early prediction of gestational diabetes mellitus (GDM) is particularly important. The role of neutrophil to high-density lipoprotein cholesterol (HDL-C) ratio (NHR) in GDM is unclear. This study aims to explore the predictive value of early pregnancy NHR in GDM. A case-control study was conducted involving 1421 pregnant women, randomly divided into a training dataset and a validation set. Routine clinical and laboratory information were collected. Logistic regression was performed and nomogram was established to determine the diagnostic efficacy of NHR for GDM. We evaluated nomogram through receiver operating characteristic curves, calibration curves, and decision curve analysis (DCA). Compared with non-GDM, early pregnancy NHR was significantly elevated in GDM. Logistic regression indicated that NHR was an independent risk factor for GDM. A nomogram model was constructed using NHR, age, body mass index, glycated hemoglobin, and fasting blood glucose as factors to predict GDM in early pregnancy. The calibration curve and DCA demonstrated strong predictive ability. The DCA result indicated that the model has clinical application value. In GDM subjects, NHR levels significantly increase in early pregnancy and are closely related to the occurrence of GDM. NHR has good predictive diagnostic performance.https://doi.org/10.1038/s41598-025-13051-xGestational diabetes mellitusNeutrophil/high-density lipoprotein cholesterol ratioInflammation |
| spellingShingle | Yuehan Ma Jianbing Sun Ning Yuan Sixu Xin Dan Zhao Xiaomei Zhang The predictive value of neutrophil to high-density lipoprotein cholesterol ratio in early pregnancy for gestational diabetes based on nomogram Scientific Reports Gestational diabetes mellitus Neutrophil/high-density lipoprotein cholesterol ratio Inflammation |
| title | The predictive value of neutrophil to high-density lipoprotein cholesterol ratio in early pregnancy for gestational diabetes based on nomogram |
| title_full | The predictive value of neutrophil to high-density lipoprotein cholesterol ratio in early pregnancy for gestational diabetes based on nomogram |
| title_fullStr | The predictive value of neutrophil to high-density lipoprotein cholesterol ratio in early pregnancy for gestational diabetes based on nomogram |
| title_full_unstemmed | The predictive value of neutrophil to high-density lipoprotein cholesterol ratio in early pregnancy for gestational diabetes based on nomogram |
| title_short | The predictive value of neutrophil to high-density lipoprotein cholesterol ratio in early pregnancy for gestational diabetes based on nomogram |
| title_sort | predictive value of neutrophil to high density lipoprotein cholesterol ratio in early pregnancy for gestational diabetes based on nomogram |
| topic | Gestational diabetes mellitus Neutrophil/high-density lipoprotein cholesterol ratio Inflammation |
| url | https://doi.org/10.1038/s41598-025-13051-x |
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