The interdependence of mid-trimester blood pressure and glucose levels in shaping fetal growth and neonatal outcomes: implications for risk–benefit assessment and co-management

Maternal hypertension and hyperglycemia are closely related but have distinct impacts on fetal growth and are managed independently. How the interdependence of blood pressure (BP) and glucose levels quantitatively influences risk patterns for abnormal fetal growth and neonatal complications remains...

Full description

Saved in:
Bibliographic Details
Published inBMC medicine Vol. 23; no. 1; pp. 161 - 13
Main Authors Lv, Lijuan, Yang, Jingbo, Li, Linjie, Huang, Chuanyi, Shi, Huihua, Fang, Yiwen, Zuo, Lushu, Liu, Ting, Duan, Hongli, Wen, Jiying, Yang, Qing, Henry, Amanda, Han, Cha, Yin, Aihua, Zhou, Xin
Format Journal Article
LanguageEnglish
Published England BioMed Central Ltd 14.03.2025
BioMed Central
BMC
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Maternal hypertension and hyperglycemia are closely related but have distinct impacts on fetal growth and are managed independently. How the interdependence of blood pressure (BP) and glucose levels quantitatively influences risk patterns for abnormal fetal growth and neonatal complications remains unexplored. Maternal BP and fasting plasma glucose (FPG) levels were measured between 20 and 28 weeks of gestation in a cohort including 56,881 singleton pregnancies. Linear and quantile regression analyses were used to evaluate the relationship between BP and FPG. We examined the dose-response relationships between BP and FPG with small-for-gestational age (SGA) and large-for-gestational age (LGA) by using restricted cubic spline (RCS) curves. Additionally, multivariable fractional polynomial interaction (MFPI) analysis was conducted to assess the effects of higher versus lower BP levels across the full range of FPG levels. Heatmaps were created to visualize the contributions of BP and FPG by categorizing them into ordered groups. Quantile regression revealed consistent positive correlations between mean arterial pressure (MAP) and FPG, with a steeper increase in MAP coefficients above the 0.5 quantile of FPG. MAP had a non-linear positive association with SGA risk, while FPG showed a non-linear negative association. Heatmaps revealed the highest SGA risk with high BP (MAP ≥ 85 mmHg)/low glucose (< 85 mg/dL) combinations and the lowest risk with low BP (MAP < 85 mmHg)/high glucose (≥ 85 mg/dL), with equivalent risk at both high BP/high glucose and low BP/low glucose. In hypertensive patients, SGA risk worsened continuously as glucose levels decreased. LGA risk was not influenced by BP levels. Neonatal complications decreased by approximately 47% as MAP declined from the highest to lowest category, and by about 17% with decreasing glucose levels. Based on a large pregnancy cohort in China, this study revealed an interdependent association between maternal BP and glucose levels and their combined impact on the risk of SGA. It provided quantitative evidence of how this interdependence shapes the transition of risk patterns for SGA, neonatal complications, and LGA. These findings underscore the need for an integrated approach to co-managing BP and glucose levels during pregnancy.
AbstractList Background Maternal hypertension and hyperglycemia are closely related but have distinct impacts on fetal growth and are managed independently. How the interdependence of blood pressure (BP) and glucose levels quantitatively influences risk patterns for abnormal fetal growth and neonatal complications remains unexplored. Methods Maternal BP and fasting plasma glucose (FPG) levels were measured between 20 and 28 weeks of gestation in a cohort including 56,881 singleton pregnancies. Linear and quantile regression analyses were used to evaluate the relationship between BP and FPG. We examined the dose-response relationships between BP and FPG with small-for-gestational age (SGA) and large-for-gestational age (LGA) by using restricted cubic spline (RCS) curves. Additionally, multivariable fractional polynomial interaction (MFPI) analysis was conducted to assess the effects of higher versus lower BP levels across the full range of FPG levels. Heatmaps were created to visualize the contributions of BP and FPG by categorizing them into ordered groups. Results Quantile regression revealed consistent positive correlations between mean arterial pressure (MAP) and FPG, with a steeper increase in MAP coefficients above the 0.5 quantile of FPG. MAP had a non-linear positive association with SGA risk, while FPG showed a non-linear negative association. Heatmaps revealed the highest SGA risk with high BP (MAP [greater than or equal to] 85 mmHg)/low glucose (< 85 mg/dL) combinations and the lowest risk with low BP (MAP < 85 mmHg)/high glucose ([greater than or equal to] 85 mg/dL), with equivalent risk at both high BP/high glucose and low BP/low glucose. In hypertensive patients, SGA risk worsened continuously as glucose levels decreased. LGA risk was not influenced by BP levels. Neonatal complications decreased by approximately 47% as MAP declined from the highest to lowest category, and by about 17% with decreasing glucose levels. Conclusions Based on a large pregnancy cohort in China, this study revealed an interdependent association between maternal BP and glucose levels and their combined impact on the risk of SGA. It provided quantitative evidence of how this interdependence shapes the transition of risk patterns for SGA, neonatal complications, and LGA. These findings underscore the need for an integrated approach to co-managing BP and glucose levels during pregnancy. Graphical Keywords: Blood pressure, Fasting plasma glucose, Hypertensive disorders in pregnancy, Gestational diabetes, Small-for-gestational age infants, Large-for-gestational-age infants, Neonatal complications
Maternal hypertension and hyperglycemia are closely related but have distinct impacts on fetal growth and are managed independently. How the interdependence of blood pressure (BP) and glucose levels quantitatively influences risk patterns for abnormal fetal growth and neonatal complications remains unexplored.BACKGROUNDMaternal hypertension and hyperglycemia are closely related but have distinct impacts on fetal growth and are managed independently. How the interdependence of blood pressure (BP) and glucose levels quantitatively influences risk patterns for abnormal fetal growth and neonatal complications remains unexplored.Maternal BP and fasting plasma glucose (FPG) levels were measured between 20 and 28 weeks of gestation in a cohort including 56,881 singleton pregnancies. Linear and quantile regression analyses were used to evaluate the relationship between BP and FPG. We examined the dose-response relationships between BP and FPG with small-for-gestational age (SGA) and large-for-gestational age (LGA) by using restricted cubic spline (RCS) curves. Additionally, multivariable fractional polynomial interaction (MFPI) analysis was conducted to assess the effects of higher versus lower BP levels across the full range of FPG levels. Heatmaps were created to visualize the contributions of BP and FPG by categorizing them into ordered groups.METHODSMaternal BP and fasting plasma glucose (FPG) levels were measured between 20 and 28 weeks of gestation in a cohort including 56,881 singleton pregnancies. Linear and quantile regression analyses were used to evaluate the relationship between BP and FPG. We examined the dose-response relationships between BP and FPG with small-for-gestational age (SGA) and large-for-gestational age (LGA) by using restricted cubic spline (RCS) curves. Additionally, multivariable fractional polynomial interaction (MFPI) analysis was conducted to assess the effects of higher versus lower BP levels across the full range of FPG levels. Heatmaps were created to visualize the contributions of BP and FPG by categorizing them into ordered groups.Quantile regression revealed consistent positive correlations between mean arterial pressure (MAP) and FPG, with a steeper increase in MAP coefficients above the 0.5 quantile of FPG. MAP had a non-linear positive association with SGA risk, while FPG showed a non-linear negative association. Heatmaps revealed the highest SGA risk with high BP (MAP ≥ 85 mmHg)/low glucose (< 85 mg/dL) combinations and the lowest risk with low BP (MAP < 85 mmHg)/high glucose (≥ 85 mg/dL), with equivalent risk at both high BP/high glucose and low BP/low glucose. In hypertensive patients, SGA risk worsened continuously as glucose levels decreased. LGA risk was not influenced by BP levels. Neonatal complications decreased by approximately 47% as MAP declined from the highest to lowest category, and by about 17% with decreasing glucose levels.RESULTSQuantile regression revealed consistent positive correlations between mean arterial pressure (MAP) and FPG, with a steeper increase in MAP coefficients above the 0.5 quantile of FPG. MAP had a non-linear positive association with SGA risk, while FPG showed a non-linear negative association. Heatmaps revealed the highest SGA risk with high BP (MAP ≥ 85 mmHg)/low glucose (< 85 mg/dL) combinations and the lowest risk with low BP (MAP < 85 mmHg)/high glucose (≥ 85 mg/dL), with equivalent risk at both high BP/high glucose and low BP/low glucose. In hypertensive patients, SGA risk worsened continuously as glucose levels decreased. LGA risk was not influenced by BP levels. Neonatal complications decreased by approximately 47% as MAP declined from the highest to lowest category, and by about 17% with decreasing glucose levels.Based on a large pregnancy cohort in China, this study revealed an interdependent association between maternal BP and glucose levels and their combined impact on the risk of SGA. It provided quantitative evidence of how this interdependence shapes the transition of risk patterns for SGA, neonatal complications, and LGA. These findings underscore the need for an integrated approach to co-managing BP and glucose levels during pregnancy.CONCLUSIONSBased on a large pregnancy cohort in China, this study revealed an interdependent association between maternal BP and glucose levels and their combined impact on the risk of SGA. It provided quantitative evidence of how this interdependence shapes the transition of risk patterns for SGA, neonatal complications, and LGA. These findings underscore the need for an integrated approach to co-managing BP and glucose levels during pregnancy.
Maternal hypertension and hyperglycemia are closely related but have distinct impacts on fetal growth and are managed independently. How the interdependence of blood pressure (BP) and glucose levels quantitatively influences risk patterns for abnormal fetal growth and neonatal complications remains unexplored. Maternal BP and fasting plasma glucose (FPG) levels were measured between 20 and 28 weeks of gestation in a cohort including 56,881 singleton pregnancies. Linear and quantile regression analyses were used to evaluate the relationship between BP and FPG. We examined the dose-response relationships between BP and FPG with small-for-gestational age (SGA) and large-for-gestational age (LGA) by using restricted cubic spline (RCS) curves. Additionally, multivariable fractional polynomial interaction (MFPI) analysis was conducted to assess the effects of higher versus lower BP levels across the full range of FPG levels. Heatmaps were created to visualize the contributions of BP and FPG by categorizing them into ordered groups. Quantile regression revealed consistent positive correlations between mean arterial pressure (MAP) and FPG, with a steeper increase in MAP coefficients above the 0.5 quantile of FPG. MAP had a non-linear positive association with SGA risk, while FPG showed a non-linear negative association. Heatmaps revealed the highest SGA risk with high BP (MAP [greater than or equal to] 85 mmHg)/low glucose (< 85 mg/dL) combinations and the lowest risk with low BP (MAP < 85 mmHg)/high glucose ([greater than or equal to] 85 mg/dL), with equivalent risk at both high BP/high glucose and low BP/low glucose. In hypertensive patients, SGA risk worsened continuously as glucose levels decreased. LGA risk was not influenced by BP levels. Neonatal complications decreased by approximately 47% as MAP declined from the highest to lowest category, and by about 17% with decreasing glucose levels. Based on a large pregnancy cohort in China, this study revealed an interdependent association between maternal BP and glucose levels and their combined impact on the risk of SGA. It provided quantitative evidence of how this interdependence shapes the transition of risk patterns for SGA, neonatal complications, and LGA. These findings underscore the need for an integrated approach to co-managing BP and glucose levels during pregnancy.
BackgroundMaternal hypertension and hyperglycemia are closely related but have distinct impacts on fetal growth and are managed independently. How the interdependence of blood pressure (BP) and glucose levels quantitatively influences risk patterns for abnormal fetal growth and neonatal complications remains unexplored.MethodsMaternal BP and fasting plasma glucose (FPG) levels were measured between 20 and 28 weeks of gestation in a cohort including 56,881 singleton pregnancies. Linear and quantile regression analyses were used to evaluate the relationship between BP and FPG. We examined the dose–response relationships between BP and FPG with small-for-gestational age (SGA) and large-for-gestational age (LGA) by using restricted cubic spline (RCS) curves. Additionally, multivariable fractional polynomial interaction (MFPI) analysis was conducted to assess the effects of higher versus lower BP levels across the full range of FPG levels. Heatmaps were created to visualize the contributions of BP and FPG by categorizing them into ordered groups.ResultsQuantile regression revealed consistent positive correlations between mean arterial pressure (MAP) and FPG, with a steeper increase in MAP coefficients above the 0.5 quantile of FPG. MAP had a non-linear positive association with SGA risk, while FPG showed a non-linear negative association. Heatmaps revealed the highest SGA risk with high BP (MAP ≥ 85 mmHg)/low glucose (< 85 mg/dL) combinations and the lowest risk with low BP (MAP < 85 mmHg)/high glucose (≥ 85 mg/dL), with equivalent risk at both high BP/high glucose and low BP/low glucose. In hypertensive patients, SGA risk worsened continuously as glucose levels decreased. LGA risk was not influenced by BP levels. Neonatal complications decreased by approximately 47% as MAP declined from the highest to lowest category, and by about 17% with decreasing glucose levels.ConclusionsBased on a large pregnancy cohort in China, this study revealed an interdependent association between maternal BP and glucose levels and their combined impact on the risk of SGA. It provided quantitative evidence of how this interdependence shapes the transition of risk patterns for SGA, neonatal complications, and LGA. These findings underscore the need for an integrated approach to co-managing BP and glucose levels during pregnancy.
Maternal hypertension and hyperglycemia are closely related but have distinct impacts on fetal growth and are managed independently. How the interdependence of blood pressure (BP) and glucose levels quantitatively influences risk patterns for abnormal fetal growth and neonatal complications remains unexplored. Maternal BP and fasting plasma glucose (FPG) levels were measured between 20 and 28 weeks of gestation in a cohort including 56,881 singleton pregnancies. Linear and quantile regression analyses were used to evaluate the relationship between BP and FPG. We examined the dose-response relationships between BP and FPG with small-for-gestational age (SGA) and large-for-gestational age (LGA) by using restricted cubic spline (RCS) curves. Additionally, multivariable fractional polynomial interaction (MFPI) analysis was conducted to assess the effects of higher versus lower BP levels across the full range of FPG levels. Heatmaps were created to visualize the contributions of BP and FPG by categorizing them into ordered groups. Quantile regression revealed consistent positive correlations between mean arterial pressure (MAP) and FPG, with a steeper increase in MAP coefficients above the 0.5 quantile of FPG. MAP had a non-linear positive association with SGA risk, while FPG showed a non-linear negative association. Heatmaps revealed the highest SGA risk with high BP (MAP ≥ 85 mmHg)/low glucose (< 85 mg/dL) combinations and the lowest risk with low BP (MAP < 85 mmHg)/high glucose (≥ 85 mg/dL), with equivalent risk at both high BP/high glucose and low BP/low glucose. In hypertensive patients, SGA risk worsened continuously as glucose levels decreased. LGA risk was not influenced by BP levels. Neonatal complications decreased by approximately 47% as MAP declined from the highest to lowest category, and by about 17% with decreasing glucose levels. Based on a large pregnancy cohort in China, this study revealed an interdependent association between maternal BP and glucose levels and their combined impact on the risk of SGA. It provided quantitative evidence of how this interdependence shapes the transition of risk patterns for SGA, neonatal complications, and LGA. These findings underscore the need for an integrated approach to co-managing BP and glucose levels during pregnancy.
Abstract Background Maternal hypertension and hyperglycemia are closely related but have distinct impacts on fetal growth and are managed independently. How the interdependence of blood pressure (BP) and glucose levels quantitatively influences risk patterns for abnormal fetal growth and neonatal complications remains unexplored. Methods Maternal BP and fasting plasma glucose (FPG) levels were measured between 20 and 28 weeks of gestation in a cohort including 56,881 singleton pregnancies. Linear and quantile regression analyses were used to evaluate the relationship between BP and FPG. We examined the dose–response relationships between BP and FPG with small-for-gestational age (SGA) and large-for-gestational age (LGA) by using restricted cubic spline (RCS) curves. Additionally, multivariable fractional polynomial interaction (MFPI) analysis was conducted to assess the effects of higher versus lower BP levels across the full range of FPG levels. Heatmaps were created to visualize the contributions of BP and FPG by categorizing them into ordered groups. Results Quantile regression revealed consistent positive correlations between mean arterial pressure (MAP) and FPG, with a steeper increase in MAP coefficients above the 0.5 quantile of FPG. MAP had a non-linear positive association with SGA risk, while FPG showed a non-linear negative association. Heatmaps revealed the highest SGA risk with high BP (MAP ≥ 85 mmHg)/low glucose (< 85 mg/dL) combinations and the lowest risk with low BP (MAP < 85 mmHg)/high glucose (≥ 85 mg/dL), with equivalent risk at both high BP/high glucose and low BP/low glucose. In hypertensive patients, SGA risk worsened continuously as glucose levels decreased. LGA risk was not influenced by BP levels. Neonatal complications decreased by approximately 47% as MAP declined from the highest to lowest category, and by about 17% with decreasing glucose levels. Conclusions Based on a large pregnancy cohort in China, this study revealed an interdependent association between maternal BP and glucose levels and their combined impact on the risk of SGA. It provided quantitative evidence of how this interdependence shapes the transition of risk patterns for SGA, neonatal complications, and LGA. These findings underscore the need for an integrated approach to co-managing BP and glucose levels during pregnancy. Graphical Abstract
ArticleNumber 161
Audience Academic
Author Wen, Jiying
Zuo, Lushu
Li, Linjie
Yang, Jingbo
Shi, Huihua
Huang, Chuanyi
Fang, Yiwen
Zhou, Xin
Lv, Lijuan
Han, Cha
Duan, Hongli
Henry, Amanda
Yin, Aihua
Yang, Qing
Liu, Ting
Author_xml – sequence: 1
  givenname: Lijuan
  surname: Lv
  fullname: Lv, Lijuan
– sequence: 2
  givenname: Jingbo
  surname: Yang
  fullname: Yang, Jingbo
– sequence: 3
  givenname: Linjie
  surname: Li
  fullname: Li, Linjie
– sequence: 4
  givenname: Chuanyi
  surname: Huang
  fullname: Huang, Chuanyi
– sequence: 5
  givenname: Huihua
  surname: Shi
  fullname: Shi, Huihua
– sequence: 6
  givenname: Yiwen
  surname: Fang
  fullname: Fang, Yiwen
– sequence: 7
  givenname: Lushu
  surname: Zuo
  fullname: Zuo, Lushu
– sequence: 8
  givenname: Ting
  surname: Liu
  fullname: Liu, Ting
– sequence: 9
  givenname: Hongli
  surname: Duan
  fullname: Duan, Hongli
– sequence: 10
  givenname: Jiying
  surname: Wen
  fullname: Wen, Jiying
– sequence: 11
  givenname: Qing
  surname: Yang
  fullname: Yang, Qing
– sequence: 12
  givenname: Amanda
  surname: Henry
  fullname: Henry, Amanda
– sequence: 13
  givenname: Cha
  surname: Han
  fullname: Han, Cha
– sequence: 14
  givenname: Aihua
  surname: Yin
  fullname: Yin, Aihua
– sequence: 15
  givenname: Xin
  surname: Zhou
  fullname: Zhou, Xin
BackLink https://www.ncbi.nlm.nih.gov/pubmed/40087732$$D View this record in MEDLINE/PubMed
BookMark eNptk82O1SAYhhszxvnRG3BhSEyMm45Q2lLcmMnEn0kmcTOuCYWvLUcKFdox7rwH78RL8kqk54zjOcZ0QfPx8BDeD06zI-cdZNlTgs8JaepXkRSc1DkuqhxTznHOHmQnhJUkZ5hUR3v_x9lpjBucSMbKR9lxiXHDGC1Osp83AyDjZggaJnAanALkOzQanc_BjBDTFGqt9xpNAWJcAiDpNOrtonwEZOEWbEwKFAc5GdejDmZpUR_813nYog68k2vNL7PySfkamXGyRsnZeBdR5wMKJn7-9f1HCw46MyMZY9prBDdvDcrno3Syh7XyOHvYSRvhyd14ln169_bm8kN-_fH91eXFda5KVs95STqqeVHpAjPM2pZJ4LLkBOuKypLSgnDOm4px3ZCGKNlxXRPVUtyknCgHepZd7bzay42YUhgyfBNeGrEt-NALGWajLAildINBkbbUupSskrot2q5lTQld1xZFcr3ZuaalHUGrdIwg7YH0cMaZQfT-VhDCMW84SYaXd4bgvyypLWI0UYG1MsW7REEJY3Wx0gl9_g-68UtwKatENayq6hLTv1Qv0wmM63zaWK1ScdFQQkjVVDhR5_-h0qdhNMqv3Ur1gwUv9hYMIO08RG-XbasPwWf7kdxn8eduJqDYASr4GAN09wjBYn0AYvcARLrWYvsABKO_AdYc-zs
Cites_doi 10.1136/bmj-2021-067946
10.1016/S0140-6736(11)60364-4
10.1001/jama.2019.9811
10.1097/AOG.0000000000003892
10.1093/bioinformatics/btr597
10.1111/1471-0528.17574
10.2337/dc08-1193
10.1007/s00404-024-07587-y
10.1093/eurheartj/ehab418
10.2337/dc09-1848
10.1111/obr.13826
10.1186/s12916-023-03167-0
10.3389/fped.2021.741793
10.2337/diacare.27.2.297
10.1016/S0002-9378(98)70383-7
10.1159/000371628
10.1161/HYPERTENSIONAHA.120.14643
10.1136/bmjopen-2023-078325
10.1016/j.diabres.2019.107971
10.2337/dc22-1390
10.1016/S1701-2163(16)30592-8
10.1016/S0140-6736(98)08049-0
10.1056/NEJMoa2214956
10.1161/HYPERTENSIONAHA.121.18617
10.1056/NEJMoa2204091
10.1016/S0140-6736(20)32335-7
10.1097/AOG.0000000000003021
10.1056/NEJMoa1404595
10.1016/j.jacc.2021.10.033
10.1056/NEJMoa2201295
10.1001/jamapediatrics.2020.1097
10.2337/dc10-0544
10.1161/JAHA.119.012027
10.1056/NEJMoa0707943
10.1056/NEJMoa2026028
10.1186/s12884-018-1809-y
10.1038/nrendo.2016.127
ContentType Journal Article
Copyright 2025. The Author(s).
COPYRIGHT 2025 BioMed Central Ltd.
2025. This work is licensed under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
The Author(s) 2025 2025
Copyright_xml – notice: 2025. The Author(s).
– notice: COPYRIGHT 2025 BioMed Central Ltd.
– notice: 2025. This work is licensed under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
– notice: The Author(s) 2025 2025
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
3V.
7QL
7U9
7X7
7XB
88E
8FI
8FJ
8FK
ABUWG
AFKRA
AZQEC
BENPR
C1K
CCPQU
DWQXO
FYUFA
GHDGH
H94
K9.
M0S
M1P
M7N
PHGZM
PHGZT
PIMPY
PJZUB
PKEHL
PPXIY
PQEST
PQQKQ
PQUKI
PRINS
7X8
5PM
DOA
DOI 10.1186/s12916-025-03990-7
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
ProQuest Central (Corporate)
Bacteriology Abstracts (Microbiology B)
Virology and AIDS Abstracts
Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Medical Database (Alumni Edition)
Hospital Premium Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni Edition)
ProQuest Central UK/Ireland
ProQuest Central Essentials
ProQuest Central
Environmental Sciences and Pollution Management
ProQuest One Community College
ProQuest Central Korea
Health Research Premium Collection
Health Research Premium Collection (Alumni)
AIDS and Cancer Research Abstracts
ProQuest Health & Medical Complete (Alumni)
Health & Medical Collection (Alumni Edition)
Medical Database
Algology Mycology and Protozoology Abstracts (Microbiology C)
ProQuest Central Premium
ProQuest One Academic (New)
Publicly Available Content Database
ProQuest Health & Medical Research Collection
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
MEDLINE - Academic
PubMed Central (Full Participant titles)
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
ProQuest One Community College
ProQuest One Health & Nursing
ProQuest Central China
Environmental Sciences and Pollution Management
ProQuest Central
ProQuest Health & Medical Research Collection
Health Research Premium Collection
Health and Medicine Complete (Alumni Edition)
ProQuest Central Korea
Bacteriology Abstracts (Microbiology B)
Algology Mycology and Protozoology Abstracts (Microbiology C)
Health & Medical Research Collection
AIDS and Cancer Research Abstracts
ProQuest Central (New)
ProQuest Medical Library (Alumni)
Virology and AIDS Abstracts
ProQuest One Academic Eastern Edition
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
ProQuest Hospital Collection (Alumni)
ProQuest Health & Medical Complete
ProQuest Medical Library
ProQuest One Academic UKI Edition
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList
MEDLINE - Academic

Publicly Available Content Database

MEDLINE

Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 3
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
– sequence: 4
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 1741-7015
EndPage 13
ExternalDocumentID oai_doaj_org_article_ccd80ec1b4dd4a75adb2bfb784effb22
PMC11909891
A831115850
40087732
10_1186_s12916_025_03990_7
Genre Journal Article
GeographicLocations China
GeographicLocations_xml – name: China
GroupedDBID ---
0R~
23N
2WC
4.4
53G
5GY
5VS
6J9
6PF
7X7
88E
8FI
8FJ
AAFWJ
AAJSJ
AASML
AAWTL
AAYXX
ABDBF
ABUWG
ACGFO
ACGFS
ACIHN
ACPRK
ACUHS
ADBBV
ADRAZ
ADUKV
AEAQA
AENEX
AFKRA
AFPKN
AFRAH
AHBYD
AHMBA
AHYZX
ALIPV
ALMA_UNASSIGNED_HOLDINGS
AMKLP
AMTXH
AOIJS
BAPOH
BAWUL
BCNDV
BENPR
BFQNJ
BMC
BPHCQ
BVXVI
C6C
CCPQU
CITATION
CS3
DIK
DU5
E3Z
EAD
EAP
EAS
EBD
EBLON
EBS
EMB
EMK
EMOBN
ESX
F5P
FYUFA
GROUPED_DOAJ
GX1
HMCUK
HYE
IAO
IHR
IHW
INH
INR
ITC
KQ8
M1P
MK0
M~E
O5R
O5S
OK1
OVT
P2P
PGMZT
PHGZM
PHGZT
PIMPY
PQQKQ
PROAC
PSQYO
RBZ
RNS
ROL
RPM
RSV
SMD
SOJ
SV3
TR2
TUS
UKHRP
WOQ
WOW
XSB
CGR
CUY
CVF
ECM
EIF
NPM
PJZUB
PPXIY
PMFND
3V.
7QL
7U9
7XB
8FK
AZQEC
C1K
DWQXO
H94
K9.
M48
M7N
PKEHL
PQEST
PQUKI
PRINS
7X8
5PM
PUEGO
ID FETCH-LOGICAL-c476t-41f3d925d20707bb7ae9a4910d53a433219998579d8181caf9d61cb30800239e3
IEDL.DBID DOA
ISSN 1741-7015
IngestDate Wed Aug 27 01:30:35 EDT 2025
Thu Aug 21 18:34:06 EDT 2025
Thu Jul 10 17:42:54 EDT 2025
Fri Jul 25 21:01:39 EDT 2025
Tue Jun 17 21:59:08 EDT 2025
Tue Jun 10 20:57:50 EDT 2025
Thu May 22 21:23:47 EDT 2025
Mon Jul 21 06:03:59 EDT 2025
Tue Jul 01 05:23:36 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Keywords Neonatal complications
Large-for-gestational-age infants
Fasting plasma glucose
Hypertensive disorders in pregnancy
Blood pressure
Gestational diabetes
Small-for-gestational age infants
Language English
License 2025. The Author(s).
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c476t-41f3d925d20707bb7ae9a4910d53a433219998579d8181caf9d61cb30800239e3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
OpenAccessLink https://doaj.org/article/ccd80ec1b4dd4a75adb2bfb784effb22
PMID 40087732
PQID 3187556403
PQPubID 42775
PageCount 13
ParticipantIDs doaj_primary_oai_doaj_org_article_ccd80ec1b4dd4a75adb2bfb784effb22
pubmedcentral_primary_oai_pubmedcentral_nih_gov_11909891
proquest_miscellaneous_3177621909
proquest_journals_3187556403
gale_infotracmisc_A831115850
gale_infotracacademiconefile_A831115850
gale_healthsolutions_A831115850
pubmed_primary_40087732
crossref_primary_10_1186_s12916_025_03990_7
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2025-03-14
PublicationDateYYYYMMDD 2025-03-14
PublicationDate_xml – month: 03
  year: 2025
  text: 2025-03-14
  day: 14
PublicationDecade 2020
PublicationPlace England
PublicationPlace_xml – name: England
– name: London
PublicationTitle BMC medicine
PublicationTitleAlternate BMC Med
PublicationYear 2025
Publisher BioMed Central Ltd
BioMed Central
BMC
Publisher_xml – name: BioMed Central Ltd
– name: BioMed Central
– name: BMC
References MM Hedderson (3990_CR31) 2008; 31
LC Chappell (3990_CR4) 2021; 398
J Chen (3990_CR32) 2021; 9
C Sacchi (3990_CR2) 2020; 174
ACOG Practice Bulletin No (3990_CR20) 2019; 133
A Hirsch (3990_CR35) 2024; 310
W Ye (3990_CR5) 2022; 377
DJ Selen (3990_CR25) 2023; 46
AT Tita (3990_CR15) 2022; 386
MC Borges (3990_CR7) 2024; 22
Chinese Society of Obstetrics and Gynecology CSoPM (3990_CR23) 2022; 57
V Mericq (3990_CR1) 2017; 13
3990_CR19
E Gibbone (3990_CR30) 2022; 79
D Simmons (3990_CR17) 2018; 18
RT Mikolajczyk (3990_CR24) 2011; 377
Q Yang (3990_CR27) 2021; 42
DJ Stekhoven (3990_CR26) 2012; 28
JM Dodd (3990_CR40) 2024; 25
M Ardissino (3990_CR3) 2022; 79
BE Metzger (3990_CR38) 2010; 33
LJ Lv (3990_CR18) 2019; 8
C Garcia-Gonzalez (3990_CR29) 2020; 76
CA Crowther (3990_CR10) 2022; 387
WY Yang (3990_CR28) 2019; 322
P von Dadelszen (3990_CR12) 2002; 24
Gestational hypertension and preeclampsia (3990_CR21) 2020; 135
UM Schaefer-Graf (3990_CR39) 2004; 27
D Simmons (3990_CR11) 2023; 388
A Garcia-Patterson (3990_CR33) 1998; 179
B Barquiel (3990_CR34) 2020; 159
LA Magee (3990_CR14) 2015; 372
F Conti-Ramsden (3990_CR8) 2024; 131
Chinese Society of Obstetrics and Gynecology CSoPM (3990_CR22) 2022; 57
K Kc (3990_CR6) 2015; 66
J Li (3990_CR36) 2024; 14
BE Metzger (3990_CR16) 2008; 358
TA Hillier (3990_CR9) 2021; 384
P von Dadelszen (3990_CR13) 2000; 355
LS Weinert (3990_CR37) 2010; 33
References_xml – volume: 377
  year: 2022
  ident: 3990_CR5
  publication-title: BMJ
  doi: 10.1136/bmj-2021-067946
– volume: 377
  start-page: 1855
  issue: 9780
  year: 2011
  ident: 3990_CR24
  publication-title: Lancet
  doi: 10.1016/S0140-6736(11)60364-4
– volume: 322
  start-page: 409
  issue: 5
  year: 2019
  ident: 3990_CR28
  publication-title: JAMA
  doi: 10.1001/jama.2019.9811
– volume: 135
  start-page: 1492
  issue: 6
  year: 2020
  ident: 3990_CR21
  publication-title: Obstet Gynecol
  doi: 10.1097/AOG.0000000000003892
– volume: 28
  start-page: 112
  issue: 1
  year: 2012
  ident: 3990_CR26
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btr597
– volume: 131
  start-page: 88
  issue: 1
  year: 2024
  ident: 3990_CR8
  publication-title: BJOG
  doi: 10.1111/1471-0528.17574
– volume: 31
  start-page: 2362
  issue: 12
  year: 2008
  ident: 3990_CR31
  publication-title: Diabetes Care
  doi: 10.2337/dc08-1193
– volume: 310
  start-page: 685
  issue: 2
  year: 2024
  ident: 3990_CR35
  publication-title: Arch Gynecol Obstet
  doi: 10.1007/s00404-024-07587-y
– volume: 42
  start-page: 3175
  issue: 33
  year: 2021
  ident: 3990_CR27
  publication-title: Eur Heart J
  doi: 10.1093/eurheartj/ehab418
– volume: 33
  start-page: 676
  issue: 3
  year: 2010
  ident: 3990_CR38
  publication-title: Diabetes Care
  doi: 10.2337/dc09-1848
– volume: 25
  issue: 12
  year: 2024
  ident: 3990_CR40
  publication-title: Obes Rev
  doi: 10.1111/obr.13826
– volume: 22
  start-page: 32
  issue: 1
  year: 2024
  ident: 3990_CR7
  publication-title: BMC Med
  doi: 10.1186/s12916-023-03167-0
– volume: 9
  year: 2021
  ident: 3990_CR32
  publication-title: Front Pediatr
  doi: 10.3389/fped.2021.741793
– volume: 27
  start-page: 297
  issue: 2
  year: 2004
  ident: 3990_CR39
  publication-title: Diabetes Care
  doi: 10.2337/diacare.27.2.297
– volume: 179
  start-page: 481
  issue: 2
  year: 1998
  ident: 3990_CR33
  publication-title: Am J Obstet Gynecol
  doi: 10.1016/S0002-9378(98)70383-7
– volume: 66
  start-page: 14
  issue: Suppl 2
  year: 2015
  ident: 3990_CR6
  publication-title: Ann Nutr Metab
  doi: 10.1159/000371628
– volume: 76
  start-page: 514
  issue: 2
  year: 2020
  ident: 3990_CR29
  publication-title: Hypertension
  doi: 10.1161/HYPERTENSIONAHA.120.14643
– volume: 14
  issue: 1
  year: 2024
  ident: 3990_CR36
  publication-title: BMJ Open
  doi: 10.1136/bmjopen-2023-078325
– volume: 159
  year: 2020
  ident: 3990_CR34
  publication-title: Diabetes Res Clin Pract
  doi: 10.1016/j.diabres.2019.107971
– volume: 46
  start-page: 83
  issue: 1
  year: 2023
  ident: 3990_CR25
  publication-title: Diabetes Care
  doi: 10.2337/dc22-1390
– volume: 24
  start-page: 941
  issue: 12
  year: 2002
  ident: 3990_CR12
  publication-title: J Obstet Gynaecol Can
  doi: 10.1016/S1701-2163(16)30592-8
– volume: 355
  start-page: 87
  issue: 9198
  year: 2000
  ident: 3990_CR13
  publication-title: Lancet
  doi: 10.1016/S0140-6736(98)08049-0
– volume: 388
  start-page: 2132
  issue: 23
  year: 2023
  ident: 3990_CR11
  publication-title: N Engl J Med
  doi: 10.1056/NEJMoa2214956
– volume: 57
  start-page: 81
  issue: 2
  year: 2022
  ident: 3990_CR23
  publication-title: Zhonghua Fu Chan Ke Za Zhi
– volume: 79
  start-page: 588
  issue: 3
  year: 2022
  ident: 3990_CR3
  publication-title: Hypertension
  doi: 10.1161/HYPERTENSIONAHA.121.18617
– volume: 387
  start-page: 587
  issue: 7
  year: 2022
  ident: 3990_CR10
  publication-title: N Engl J Med
  doi: 10.1056/NEJMoa2204091
– volume: 398
  start-page: 341
  issue: 10297
  year: 2021
  ident: 3990_CR4
  publication-title: Lancet
  doi: 10.1016/S0140-6736(20)32335-7
– volume: 133
  start-page: 215
  issue: 1
  year: 2019
  ident: 3990_CR20
  publication-title: Obstet Gynecol
  doi: 10.1097/AOG.0000000000003021
– volume: 372
  start-page: 407
  issue: 5
  year: 2015
  ident: 3990_CR14
  publication-title: N Engl J Med
  doi: 10.1056/NEJMoa1404595
– volume: 79
  start-page: 52
  issue: 1
  year: 2022
  ident: 3990_CR30
  publication-title: J Am Coll Cardiol
  doi: 10.1016/j.jacc.2021.10.033
– volume: 57
  start-page: 3
  issue: 1
  year: 2022
  ident: 3990_CR22
  publication-title: Zhonghua Fu Chan Ke Za Zhi
– volume: 386
  start-page: 1781
  issue: 19
  year: 2022
  ident: 3990_CR15
  publication-title: N Engl J Med
  doi: 10.1056/NEJMoa2201295
– ident: 3990_CR19
– volume: 174
  start-page: 772
  issue: 8
  year: 2020
  ident: 3990_CR2
  publication-title: JAMA Pediatr
  doi: 10.1001/jamapediatrics.2020.1097
– volume: 33
  issue: 7
  year: 2010
  ident: 3990_CR37
  publication-title: Diabetes Care
  doi: 10.2337/dc10-0544
– volume: 8
  issue: 14
  year: 2019
  ident: 3990_CR18
  publication-title: J Am Heart Assoc
  doi: 10.1161/JAHA.119.012027
– volume: 358
  start-page: 1991
  issue: 19
  year: 2008
  ident: 3990_CR16
  publication-title: N Engl J Med
  doi: 10.1056/NEJMoa0707943
– volume: 384
  start-page: 895
  issue: 10
  year: 2021
  ident: 3990_CR9
  publication-title: N Engl J Med
  doi: 10.1056/NEJMoa2026028
– volume: 18
  start-page: 151
  issue: 1
  year: 2018
  ident: 3990_CR17
  publication-title: BMC Pregnancy Childbirth
  doi: 10.1186/s12884-018-1809-y
– volume: 13
  start-page: 50
  issue: 1
  year: 2017
  ident: 3990_CR1
  publication-title: Nat Rev Endocrinol
  doi: 10.1038/nrendo.2016.127
SSID ssj0025774
Score 2.4292707
Snippet Maternal hypertension and hyperglycemia are closely related but have distinct impacts on fetal growth and are managed independently. How the interdependence of...
Background Maternal hypertension and hyperglycemia are closely related but have distinct impacts on fetal growth and are managed independently. How the...
BackgroundMaternal hypertension and hyperglycemia are closely related but have distinct impacts on fetal growth and are managed independently. How the...
Abstract Background Maternal hypertension and hyperglycemia are closely related but have distinct impacts on fetal growth and are managed independently. How...
SourceID doaj
pubmedcentral
proquest
gale
pubmed
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
StartPage 161
SubjectTerms Adjustment
Adult
Birth weight
Births
Blood Glucose - analysis
Blood pressure
Blood Pressure - physiology
Body mass index
Dextrose
Diabetes
Drug dosages
Fasting plasma glucose
Female
Fetal Development - physiology
Fetus
Fetuses
Gestational age
Gestational diabetes
Glucose
Growth
Hospitals
Humans
Hyperglycemia
Hypertension
Hypertensive disorders in pregnancy
Hypoglycemia
Infant, Newborn
Infant, Small for Gestational Age
Infants (Newborn)
Large-for-gestational-age infants
Medical research
Medicine, Experimental
Neonates
Physiological aspects
Polynomials
Preeclampsia
Pregnancy
Pregnancy Trimester, Second - blood
Quantiles
Regression analysis
Risk Assessment
Small for gestational age
Small-for-gestational age infants
Statistical analysis
Stillbirth
Variables
Womens health
SummonAdditionalLinks – databaseName: Health & Medical Collection
  dbid: 7X7
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3LbtUwELWgSIgN4k2ggJGQWCCredixwwYVRFUhwYpKd2f5ld4rtUm5yd3zD_wJn8SXMOM8eiMktvbESTzjmbF9fEzIG1MaCKPeMTzFyLjiIm4SMuXAWKrcIccToi2-ladn_MtKrMYFt26EVU4-MTpq3zpcIz8C25NClDwtPlz9YHhrFO6ujldo3CS3kLoMIV1ydT3hEpDbTAdlVHnUQWzLEHIrWApxOWVyEYwiZ_-_nnkvNC1hk3tx6OQeuTsmkPR40Ph9ciM0D8jtr-MW-UPyGxRPkQRiO91v6wJta3q58axHLn9kRqARr04jCHa3DdQ0no7gdXqBMKIOmqDd2uBpKloHyNDpOUzY-3UUbQKuuUNZu-uh90L3nm72kOkUEmGKmPU_P39Z8KX1pqdmZgCNLbiWXc7Am0fk7OTz90-nbLyYgTkuy57xrC58lQufI1mQtdKEynBIPLwoDBKiIbeBErLykA5kztSVLzNni5idFlUoHpODpm3CU0LhMe5tnhY-NdymyqaVSVUQyjnFTRES8m7SkL4a-Dd0nLeoUg_61KBPHfWpZUI-ohJnSeTOjgXt9lyPQ1E751UaXGa599xIYeD9trZS8VDXNs8T8gpNQA8HUWcPoI9VAYEBpldpQt5GCfQBYAnOjEcZWuxRKN-XPFxIwth1y-rJzPToOzp9bekJeT1X45OIhwMN71BGQhSDZK5KyJPBKuef5kgzKAv4D7Ww10WvLGuazToyi2fYoqqyZ___rufkTj6MIpbxQ3LQb3fhBeRmvX0ZB-BfQek8PA
  priority: 102
  providerName: ProQuest
Title The interdependence of mid-trimester blood pressure and glucose levels in shaping fetal growth and neonatal outcomes: implications for risk–benefit assessment and co-management
URI https://www.ncbi.nlm.nih.gov/pubmed/40087732
https://www.proquest.com/docview/3187556403
https://www.proquest.com/docview/3177621909
https://pubmed.ncbi.nlm.nih.gov/PMC11909891
https://doaj.org/article/ccd80ec1b4dd4a75adb2bfb784effb22
Volume 23
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Ni9QwGA66gngRv62uYwTBg4TtR9Kk3nZkl0VwkcWFwUvIV50Bt5WZzn3_w_4Tf5K_xPdNO2WKBy9eekjehjbvZ9onTwh5a0oDadQ7hrsYGVdcxJ-ETDkwlip3yPGEaIvz8uySf1qIxd5RX4gJ6-mB-4k7cs6rNLjMcu-5kcJ4m9vaSsVDXds8Rl_IebvF1LDUElDV7LbIqPJoA1ktQ7CtYClk5JTJSRqKbP1_x-S9pDQFTO5loNMH5P5QOtLj_pEfkluheUTufh5-jj8mv0DlFOkf1ruTbV2gbU2vVp51yOKPnAg0ItVphL9u14GaxtMBtk5_IIBoA0PQzdLgPipaB6jN6XdYqnfLKNoE_NoObe22A1sNmw90tYdJp1ACU0Sr_76-sRBF61VHzcj9GUdwLbsaITdPyOXpydePZ2w4koE5LsuO8awufJULnyNNkLXShMpwKDm8KAxSoSGrgRKy8lAIZM7UlS8zZ4tYlxZVKJ6Sg6ZtwnNC4TYOukwLnxpuU2XTyqQqCOWc4qYICXm_05D-2TNv6LhiUaXu9alBnzrqU8uEzFGJoySyZscGsCU92JL-ly0l5DWagO63oI6-r49VASkBFlZpQt5FCfR-sARnhk0MLc4otO9LHk4kwWvdtHtnZnqIGhsN8VUKUfK0SMibsRvvRCQcaHiLMhLyF5RxVUKe9VY5vjRHgkFZwHuoib1OZmXa06yWkVM8wxFVlb34H_P4ktzLe19jGT8kB916G15B7dbZGbktF3JG7sxPzr9czKLTwvVi_u0PKP5K6w
linkProvider Directory of Open Access Journals
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELbKVgIuiDcLhRoJxAFFzcNJHCSEWmjV0naFUCv15vqV7ko0KZusKm78B_4HB34Sv4QZ58FGSNx6tSfOY8bziL-ZIeSFTCSYUaM9zGL0GGexOyT0uAZhyUKNNZ4QbTFJdo_Zx5P4ZIX87HJhEFbZ6USnqE2p8R_5BsheGscJ86N3F1897BqFp6tdC41GLPbtt0sI2aq3ex-Avy_DcGf76P2u13YV8DRLk9pjQR6ZLIxNiJVulEqlzSQDq2niSGI1L0zM53GaGbBlgZZ5ZpJAq8i5VlFmI1j3GlllEYQyI7K6tT359LkP8WLwprrUHJ5sVGBNAwT5xp4PnoDvpQPz57oE_GsLlozhEKi5ZPl2bpNbrctKNxsZu0NWbHGXXD9sD-XvkV8gahTLTsy7jrra0jKn5zPj1dg9AGsxUIeQpw52u5hbKgtDW7g8_YLApQqWoNVUYv4WzS3EBPRsXl7WU0daWPzLD2PlogZ-2eoNnS1h4Sm43hRR8r-__1CgvfNZTWVfc9StoEvvvIf63CfHV8K0B2RUlIV9RChcxowK_cj4kimfKz-TPrcx15ozGdkxed1xSFw0FT-Ei5R4Ihp-CuCncPwU6ZhsIRN7SqzW7QbK-ZloN7_Q2nDf6kAxY5hMYwn3V7lKObN5rsJwTNZRBEST-trrHLHJIzBFEND5Y_LKUaDWAUnQsk2eKPGLwvgy5dqAErSFHk53YiZabVWJv3trTJ7303glIvCAwwukScFugvuYjcnDRir7l2ZY2DCN4D34QF4HX2U4U8ymrpZ5gCvyLHj8_-daJzd2jw4PxMHeZP8JuRk2O8oL2BoZ1fOFfQqeYa2etduRktOr1gB_APu1eBE
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=The+interdependence+of+mid-trimester+blood+pressure+and+glucose+levels+in+shaping+fetal+growth+and+neonatal+outcomes%3A+implications+for+risk%E2%80%93benefit+assessment+and+co-management&rft.jtitle=BMC+medicine&rft.au=Lv%2C+Lijuan&rft.au=Yang%2C+Jingbo&rft.au=Li%2C+Linjie&rft.au=Huang%2C+Chuanyi&rft.date=2025-03-14&rft.issn=1741-7015&rft.eissn=1741-7015&rft.volume=23&rft.issue=1&rft_id=info:doi/10.1186%2Fs12916-025-03990-7&rft.externalDBID=n%2Fa&rft.externalDocID=10_1186_s12916_025_03990_7
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1741-7015&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1741-7015&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1741-7015&client=summon