1
|
Zhou X, Wu Y, Chen X, Jiang Y. Hypertensive disorders of pregnancy in Hunan Province, China, 2012-2022. Front Med (Lausanne) 2024; 11:1415696. [PMID: 39760036 PMCID: PMC11695280 DOI: 10.3389/fmed.2024.1415696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Accepted: 12/09/2024] [Indexed: 01/07/2025] Open
Abstract
Objective To explore the relationship between hypertensive disorders of pregnancy (HDP) and adverse pregnancy outcomes and explore the risk factors for HDP. Methods Data were obtained from the Maternal Near-Miss Surveillance System in Hunan Province, China, 2012-2022. Chi-square trend tests (χ2 trend) were used to determine trends in prevalence by year. Unadjusted odds ratios (uORs) were used to examine the association between HDP and adverse pregnancy outcomes. Multivariate logistic regression analysis (method: Forward, Wald, α = 0.05) and adjusted odds ratios (aORs) were used to identify risk factors for HDP. Results Our study included 780,359 pregnant women, and 38,397 women with HDP were identified, with a prevalence of 4.92% (95% CI 4.87-4.97). The prevalence of preeclampsia-eclampsia, gestational hypertension, chronic hypertension, and chronic hypertension with superimposed preeclampsia was 2.28% (95% CI 2.25-2.31), 2.04% (95% CI 2.00-2.07), 0.43% (95% CI 0.41-0.44), and 0.18% (95% CI 0.17-0.19), respectively. From 2012 to 2022, the prevalence of HDP increased from 3.11 to 7.39%, showing an upward trend (χ 2 trend = 2220.88, p < 0.01). HDP was associated with the following adverse pregnancy outcomes: maternal deaths (uOR =4.05), maternal near-miss (uOR =6.37), preterm birth (uOR =2.51), stillbirth and neonatal death (uOR =1.45), low birthweight (uOR =4.37), abruptio placentae (uOR =4.45), uterine atony (uOR =1.49), retained placenta (uOR =1.54), puerperal infections (uOR =2.14), abdominal surgical site infections (uOR =2.50), urinary tract infections (uOR =1.60), upper respiratory tract infections (uOR =1.75), heart disease (uOR =2.76), embolism (uOR =2.66), liver disease (uOR =1.25), anemia (uOR =1.38), diabetes mellitus (uOR =2.35), renal disease (uOR =4.66), and pulmonary disease (uOR =4.70, p < 0.05). Results of multivariate logistic regression analysis showed risk factors for HDP: maternal age > 30 years (aOR > 1, p < 0.05), gravidity > = 4 (aOR =1.10, 95% CI 1.05-1.14), primipara (aOR > 1, p < 0.05), and previous cesarean sections (aOR =1.27, 95% CI 1.24-1.31). Conclusion The prevalence of HDP was relatively high in Hunan Province. HDP was associated with many adverse pregnancy outcomes. Advanced maternal age, high gravidity, primipara, and previous cesarean section were risk factors for HDP.
Collapse
Affiliation(s)
| | - Yinglan Wu
- Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan Province, China
| | - Xiaoying Chen
- Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan Province, China
| | - Yurong Jiang
- Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan Province, China
| |
Collapse
|
2
|
Lima dos Santos SP, Calloway EE, Chertok IRA, Haile ZT. Development and Testing of the Comprehensive Prenatal Care Index: Relationship With Preterm Birth and Small for Gestational Age Across Racial and Ethnic Groups. J Midwifery Womens Health 2024; 69:917-928. [PMID: 39593248 PMCID: PMC11622361 DOI: 10.1111/jmwh.13707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 09/24/2024] [Indexed: 11/28/2024]
Abstract
INTRODUCTION Preterm birth and small for gestational age (SGA) are significant public health concerns in the United States, with pronounced disparities across racial and ethnic groups. Traditional prenatal care adequacy indices have limitations in fully capturing their multifaceted nature. Our study introduces the Comprehensive Prenatal Care Index (CPCI) to provide a more holistic assessment of prenatal care by integrating key elements of prenatal counseling and health promotion. METHODS This cross-sectional study used the Pregnancy Risk Assessment Monitoring System 2016-2021 data. The CPCI was developed based on a comprehensive literature review, incorporating components such as timing, frequency, and content of prenatal visits. The index was validated using Item Response Theory (IRT) and compared with the Kotelchuck and Kessner Indices. RESULTS The study included 139,181 pregnant women. The CPCI demonstrated strong internal consistency (Cronbach's α, 0.75; ω total, 0.81). IRT analysis confirmed the index's ability to capture variability in the quality of prenatal care, with item difficulty parameters ranging from -2.93 to +2.10. CPCI scores were significantly associated with reduced odds of adverse birth outcomes. Adequate CPCI care was linked to a 63% reduction in the odds of preterm birth among non-Hispanic White women, with similar reductions observed in Hispanic women (odds ratio [OR], 0.59) and Asian women (OR, 0.38). For SGA, adequate care was protective among non-Hispanic White (OR, 0.86) and Hispanic women (OR, 0.82) but showed mixed results in other groups. DISCUSSION The CPCI provides a more inclusive measure of the quality of prenatal care compared with traditional indices. The study's findings suggest a significant role of comprehensive prenatal care in reducing adverse birth outcomes and addressing racial and ethnic disparities. Future research should focus on refining the CPCI and exploring its applicability in diverse populations to inform targeted and culturally sensitive prenatal care strategies.
Collapse
Affiliation(s)
- Sueny P. Lima dos Santos
- Graduate College, Ohio University College of Health Sciences and ProfessionsAthensOhio
- Center For Nutrition and Health ImpactOmahaNebraska
| | | | - Ilana R. A. Chertok
- Graduate College, Ohio University College of Health Sciences and ProfessionsAthensOhio
| | - Zelalem T. Haile
- Department of Social MedicineOhio University Heritage College of Osteopathic Medicine and Global Health Initiative, College of Health Sciences and ProfessionsDublinOhio
| |
Collapse
|
3
|
Huang S, Guo Y, Xu X, Jiang L, Yan J. Gestational diabetes complicated with preterm birth: a retrospective cohort study. BMC Pregnancy Childbirth 2024; 24:631. [PMID: 39354423 PMCID: PMC11445954 DOI: 10.1186/s12884-024-06810-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2024] [Accepted: 09/09/2024] [Indexed: 10/03/2024] Open
Abstract
OBJECTIVE To delineate the clinical characteristics of preterm birth (PTB) in the context of gestational diabetes mellitus (GDM). METHODS A retrospective cohort study was conducted, including 14,314 pregnant women with GDM who delivered at Fujian Provincial Maternity and Children's Hospital from January 1, 2018, to December 31, 2021. PTB was stratified into late PTB (34-36 weeks of gestation) and early PTB (< 34 weeks) and pregnancy complications were analyzed. RESULTS Compared to the term birth (TB) cohort, a higher prevalence of premature rupture of membranes, hypertensive diseases of pregnancy (HDP), intrahepatic cholestasis of pregnancy (ICP), anemia and cervical insufficiency was observed in the PTB cohort. Notably, early PTB increased the incidence of HDP, ICP, anemia and cervical insufficiency compared to late PTB. In the early stages of pregnancy, early PTB was characterized by elevated triglyceride (TG) levels and decreased high-density lipoprotein cholesterol (HDL-C) levels compared to late PTB. In the late pregnancy stages, early PTB was associated with increased white blood cell (WBC) and neutrophil counts. No disparities were observed in 75 g oral glucose tolerance test (OGTT) between early and late PTB. CONCLUSION Enhanced surveillance and management of GDM, particularly in the presence of HDP, ICP and anemia, are imperative to mitigate the risk of PTB. The lipid profile may serve as a predictive tool for early PTB in the early stages of pregnancy, warranting further studies.
Collapse
Affiliation(s)
- Shuyao Huang
- Fujian Provincial Maternity and Children's Hospital, No. 18, Daoshan Road, Gulou District, Fuzhou, Fujian Province, 350001, China
- College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Yanni Guo
- Fujian Provincial Maternity and Children's Hospital, No. 18, Daoshan Road, Gulou District, Fuzhou, Fujian Province, 350001, China
| | - Xia Xu
- Fujian Provincial Maternity and Children's Hospital, No. 18, Daoshan Road, Gulou District, Fuzhou, Fujian Province, 350001, China
| | - Lingling Jiang
- Fujian Provincial Maternity and Children's Hospital, No. 18, Daoshan Road, Gulou District, Fuzhou, Fujian Province, 350001, China
| | - Jianying Yan
- Fujian Provincial Maternity and Children's Hospital, No. 18, Daoshan Road, Gulou District, Fuzhou, Fujian Province, 350001, China.
- College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
| |
Collapse
|
4
|
Li H, Gao L, Yang X, Chen L. Development and validation of a risk prediction model for preterm birth in women with gestational diabetes mellitus. Clin Endocrinol (Oxf) 2024; 101:206-215. [PMID: 38462989 DOI: 10.1111/cen.15044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 02/21/2024] [Accepted: 02/27/2024] [Indexed: 03/12/2024]
Abstract
OBJECTIVES This study aims to develop and validate a prediction model for preterm birth in women with gestational diabetes mellitus (GDM). DESIGN We conducted a retrospective study on women with GDM who gave birth at the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China, between November 2017 and July 2021. We divided 1879 patients into a development set (n = 1346) and a validation set (n = 533). The development set was used to construct the prediction model for preterm birth using the stepwise logistic regression model. A nomogram and a web calculator were established based on the model. Discrimination and calibration were assessed in both sets. PATIENTS AND MEASUREMENTS Patients were women with GDM. Data were collected from medical records. GDM was diagnosed with 75-g oral glucose tolerance test during 24-28 gestational weeks. Preterm birth was definied as gestational age at birth <37 weeks. RESULTS The incidence of preterm birth was 9.4%. The predictive model included age, assisted reproductive technology, hypertensive disorders of pregnancy, reproductive system inflammation, intrahepatic cholestasis of pregnancy, high-density lipoprotein, homocysteine, and fasting blood glucose of 75-g oral glucose tolerance test. The area under the receiver operating characteristic curve for the development and validation sets was 0.722 and 0.632, respectively. The model has been adequately calibrated using a calibration curve and the Hosmer-Lemeshow test, demonstrating a correlation between the predicted and observed risk. CONCLUSION This study presents a novel, validated risk model for preterm birth in pregnant women with GDM, providing an individualized risk estimation using clinical risk factors in the third trimester of pregnancy.
Collapse
Affiliation(s)
- Hanbing Li
- School of Nursing, University of South China, Hengyang, Hunan, China
| | - Lingling Gao
- School of Nursing, Sun Yat-sen University, Guangzhou, China
| | - Xiao Yang
- School of Nursing, Sun Yat-sen University, Guangzhou, China
| | - Lu Chen
- School of Nursing, Sun Yat-sen University, Guangzhou, China
| |
Collapse
|
5
|
Mendes RCMG, Morais SCRV, Pontes CM, Frazão CMFQ, França MS, Lopes MVO, Silva GP, Mangueira SO, Linhares FMP. Clinical validation of the nursing diagnosis risk for disturbed maternal-fetal dyad in high-risk pregnancy: A case-control study. Int J Nurs Knowl 2024; 35:281-289. [PMID: 37615669 DOI: 10.1111/2047-3095.12444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 08/18/2023] [Indexed: 08/25/2023]
Abstract
PURPOSE To obtain evidence of the clinical validity of the nursing diagnosis (ND) risk for disturbed maternal-fetal dyad in high-risk pregnancy. METHOD Causal validation of the ND through a case-control study performed in a university hospital with 155 high-risk pregnant women: 31 cases and 124 controls. A causal association was found between the ND etiological factors and the occurrence of disruption of the symbiotic maternal-fetal dyad; an association was verified when the etiological factor presented a p-value <0.05 and odds ratio >1. FINDINGS The risk factor absent-inadequate prenatal care; populations at risk, such as young-advanced maternal age and economically disadvantaged pregnant women; and association conditions, such as maternal conditions and compromised fetal oxygen transport, increased the outcome likelihood. The associated condition maternal illnesses appeared as a protective factor. CONCLUSIONS Evidence of clinical validity of the ND risk for disturbed maternal-fetal dyad was obtained, and an association between etiological factors and disruption of the symbiotic maternal-fetal dyad was found. IMPLICATIONS FOR NURSING PRACTICE The results contribute to advance scientific knowledge in nursing teaching, research, and practice and support the nursing process in high-risk pregnancies.
Collapse
Affiliation(s)
- Ryanne C M G Mendes
- Nursing Department, Federal University of Pernambuco, Recife, Pernambuco, Brazil
| | - Sheila C R V Morais
- Nursing Department, Federal University of Pernambuco, Recife, Pernambuco, Brazil
| | - Cleide M Pontes
- Nursing Department, Federal University of Pernambuco, Recife, Pernambuco, Brazil
| | - Cecília M F Q Frazão
- Nursing Department, Federal University of Pernambuco, Recife, Pernambuco, Brazil
| | - Michelline S França
- Nursing Department, Federal Institute of Pernambuco, Abreu e Lima, Pernambuco, Brazil
| | - Marcos V O Lopes
- Nursing Department, Federal University of Ceará, Fortaleza, Ceará, Brazil
| | - Gabrielle P Silva
- Nursing Department, Federal University of Pernambuco, Recife, Pernambuco, Brazil
| | - Suzana O Mangueira
- Nursing Department, Federal University of Pernambuco, Recife, Pernambuco, Brazil
| | | |
Collapse
|
6
|
Wang P, Yu Z, Hu Y, Li W, Xu L, Da F, Wang F. BMI modifies the effect of pregnancy complications on risk of small- or large-for-gestational-age newborns. Pediatr Res 2024:10.1038/s41390-024-03298-x. [PMID: 38871801 DOI: 10.1038/s41390-024-03298-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 05/06/2024] [Accepted: 05/13/2024] [Indexed: 06/15/2024]
Abstract
BACKGROUND Maternal physical condition (reflected by maternal body mass index (BMI) at delivery) and pregnancy complications influence neonatal health outcomes. High BMI during pregnancy increases various health problems' risks, but studies about the synthesized effect of these factors on fetal growth, are scarce. METHODS The retrospective cohort study was conducted in Zhejiang Province, China from 1 January 2019 to 31 December 2021. The associations between complications and small-for-gestational-age (SGA) and large-for-gestational-age (LGA) were measured by the Fine-Gray model and subgroup analysis. Effect modification and interaction analyses were conducted to explore BMI's modification effect and complications' interaction. RESULTS Several complications increased the risk for SGA and LGA, some significance varied in different subgroups. There was a positive effect modification of gestational diabetes mellitus (GDM) across BMI strata on LGA (relative excess risk due to interaction (RERI) [95% CI] = 0.57 [0.09,1.04]). Several pairwise complications' interactions were synergistic (e.g., pregestational diabetes and intraamniotic infection for SGA (ratio of ORs [95% CI] = 8.50 [1.74,41.37]), pregestational diabetes and assisted reproductive technology (ART) for LGA (ratio of ORs [95% CI] = 2.71 [1.11,6.62])), one was antagonistic (placental problems and ART for LGA (ratio of ORs [95% CI] = 0.58 [0.35,0.96])). CONCLUSIONS High-BMI positively modified the risk of GDM on LGA. Many interactions existed when two specific pregnancy complications occurred simultaneously. IMPACT This is the largest retrospective study covering more than 10 pregnancy complications to date in this aspect. High-BMI (BMI > 28 kg/m2) positively modifies the risk of GDM on LGA. Many pregnancy complications influence the risk of SGA and LGA, with several interactions that may create a "syndrome" effect. Pregnant women with different BMIs should consider the additional risks caused by pregnancy complications for their heterogeneous effects on abnormal fetal growth. Measures should be taken to prevent the occurrence of other exposure factors in the "syndrome". This study may aid in developing a new strategy for improving neonatal outcomes.
Collapse
Affiliation(s)
- Peng Wang
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou City, Zhejiang Province, 325000, China
- School of Stomatology, Wenzhou Medical University, Wenzhou City, Zhejiang Province, 325000, China
| | - Zhengchen Yu
- The Second Clinical Medical College, Wenzhou Medical University, Wenzhou City, Zhejiang Province, 325000, China
| | - Yinkai Hu
- The First Clinical Medical College, Wenzhou Medical University, Wenzhou City, Zhejiang Province, 325000, China
| | - Wangzhi Li
- School of Stomatology, Wenzhou Medical University, Wenzhou City, Zhejiang Province, 325000, China
| | - Luxuan Xu
- The Second Clinical Medical College, Wenzhou Medical University, Wenzhou City, Zhejiang Province, 325000, China
| | - Fangqing Da
- The Second Clinical Medical College, Wenzhou Medical University, Wenzhou City, Zhejiang Province, 325000, China
| | - Fan Wang
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou City, Zhejiang Province, 325000, China.
- The Second Clinical Medical College, Wenzhou Medical University, Wenzhou City, Zhejiang Province, 325000, China.
| |
Collapse
|
7
|
Allouch F, Burwick R, Gupta M, Bartal MF, Bicocca MJ, Chauhan SP, Wagner S. The association between maternal insurance status on maternal and neonatal outcomes in women with hypertensive disorders of pregnancy. J Hum Hypertens 2024; 38:75-80. [PMID: 36774406 DOI: 10.1038/s41371-023-00809-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 01/17/2023] [Accepted: 02/01/2023] [Indexed: 02/13/2023]
Abstract
The objective of this study was to examine the association between maternal insurance status and maternal and neonatal adverse outcomes in women who had hypertensive disorders in pregnancy. A population-based retrospective cohort study was undertaken using the US Vital Statistics dataset on Period Linked Birth-Infant Data from 2016-2020. The study population was restricted to non-anomalous births from women whose pregnancies were complicated by hypertensive disorders. Insurance status was categorized as private, Medicaid, self-pay and other. The primary outcome was a composite of maternal adverse outcomes, which included admission to the intensive care unit, unplanned hysterectomy, maternal blood transfusion or uterine rupture. We examined the role of prenatal care in these relationships using a mediation analysis with Kotelchuck's Adequacy of Prenatal Care Utilization Index. Multivariable logistic regression models were used to estimate the association between maternal insurance status and adverse outcomes (using adjusted odds ratios [aOR] and 99% confidence interval [CI]). Of the 18,999,865 live births in the five-year study, 1,642,654 (8.6%) met the inclusion criteria. The frequency of the composite maternal adverse outcome was 1.3%. The maternal composite occurred more frequently in women with Medicaid (aOR = 1.11, 99% CI: 1.06, 1.16) or self-pay (aOR = 1.40, 99% CI: 1.25, 1.55) when compared to private insurance. Adjusting for prenatal care slightly attenuated this association, but remained significant. Among women with hypertensive disorders in pregnancy, women with Medicaid insurance or self-pay were more likely to experience maternal and neonatal adverse outcomes than women with private insurance.
Collapse
Affiliation(s)
- Farah Allouch
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | | | - Megha Gupta
- Department of Obstetrics and Gynecology, Alpert Medical School, Brown University, Providence, RI, USA
| | - Michal Fishel Bartal
- Department of Obstetrics, Gynecology, and Reproductive Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Matthew J Bicocca
- Department of Obstetrics, Gynecology, and Reproductive Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Suneet P Chauhan
- Department of Obstetrics, Gynecology, and Reproductive Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Stephen Wagner
- Department of Obstetrics and Gynecology, Alpert Medical School, Brown University, Providence, RI, USA.
| |
Collapse
|
8
|
Tagami K, Iwama N, Hamada H, Tomita H, Kudo R, Kumagai N, Sato N, Izumi S, Sakurai K, Watanabe Z, Ishikuro M, Obara T, Tatsuta N, Hoshiai T, Metoki H, Saito M, Sugawara J, Kuriyama S, Arima T, Yaegashi N. Maternal birth weight as an indicator of early-onset and late-onset hypertensive disorders of pregnancy: The Japan Environment and Children's study. Pregnancy Hypertens 2023; 34:159-168. [PMID: 37992490 DOI: 10.1016/j.preghy.2023.11.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Revised: 10/28/2023] [Accepted: 11/01/2023] [Indexed: 11/24/2023]
Abstract
OBJECTIVES This study aimed to investigate the association between maternal birth weight (MBW) and hypertensive disorders of pregnancy (HDP) according to the gestational age when HDP develops. STUDY DESIGN A total of 77,345 subjects were included in this prospective birth cohort study. The association between MBW and HDP was investigated by a multinomial logistic regression model. MAIN OUTCOME MEASURES Early-onset HDP (EO-HDP), preterm late-onset HDP (preterm LO-HDP), and term late-onset HDP (term LO-HDP). RESULTS Lower MBW was associated with higher odds of preterm and term LO-HDP (p-values for trend < 0.0001 and = 0.0005, respectively). A linear association between MBW and EO-HDP was observed (p-values for trend = 0.0496). The shape of the association between MBW and preterm LO-HDP was a combination of the associations between MBW with EO-HDP or LO-HDP. The effect size of the association between MBW < 2,500 g and EO-HDP was lower than that of MBW < 2,500 g with preterm or term LO-HDP. The adjusted odds ratios for EO-HDP, preterm LO-HDP, and term LO-HDP in subjects with MBW < 2,500 g were 1.052 (95 % confidence interval [CI]: 0.665-1.664), 1.745 (95 % CI: 1.220-2.496), and 1.496 (95 % CI: 1.154-1.939), respectively. CONCLUSIONS MBW was associated with HDP, regardless of gestational age when HDP developed. Furthermore, the association of MBW < 2,500 g with preterm or term LO-HDP was stronger than that with EO-HDP.
Collapse
Affiliation(s)
- Kazuma Tagami
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, 1-1, Seiryomachi, Sendai 980-8574, Miyagi, Japan
| | - Noriyuki Iwama
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, 1-1, Seiryomachi, Sendai 980-8574, Miyagi, Japan; Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryomachi, Sendai 980-8573, Miyagi, Japan.
| | - Hirotaka Hamada
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, 1-1, Seiryomachi, Sendai 980-8574, Miyagi, Japan
| | - Hasumi Tomita
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, 1-1, Seiryomachi, Sendai 980-8574, Miyagi, Japan
| | - Rie Kudo
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, 1-1, Seiryomachi, Sendai 980-8574, Miyagi, Japan
| | - Natsumi Kumagai
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, 1-1, Seiryomachi, Sendai 980-8574, Miyagi, Japan
| | - Naoto Sato
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, 1-1, Seiryomachi, Sendai 980-8574, Miyagi, Japan
| | - Seiya Izumi
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, 1-1, Seiryomachi, Sendai 980-8574, Miyagi, Japan
| | - Kasumi Sakurai
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1, Seiryomachi, Sendai 980-8575, Miyagi, Japan
| | - Zen Watanabe
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, 1-1, Seiryomachi, Sendai 980-8574, Miyagi, Japan
| | - Mami Ishikuro
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryomachi, Sendai 980-8573, Miyagi, Japan; Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, 2-1, Seiryomachi, Sendai 980-8575, Miyagi, Japan
| | - Taku Obara
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryomachi, Sendai 980-8573, Miyagi, Japan; Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, 2-1, Seiryomachi, Sendai 980-8575, Miyagi, Japan
| | - Nozomi Tatsuta
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1, Seiryomachi, Sendai 980-8575, Miyagi, Japan
| | - Tetsuro Hoshiai
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, 1-1, Seiryomachi, Sendai 980-8574, Miyagi, Japan
| | - Hirohito Metoki
- Division of Public Health, Hygiene and Epidemiology, Tohoku Medical Pharmaceutical University, 1-15-1 Fukumuro, Sendai 983-8536, Miyagi, Japan; Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
| | - Masatoshi Saito
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, 1-1, Seiryomachi, Sendai 980-8574, Miyagi, Japan; Department of Maternal and Fetal Therapeutics, Tohoku University Graduate School of Medicine, 1-1, Seiryomachi, Sendai 980-8574, Miyagi, Japan
| | - Junichi Sugawara
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, 1-1, Seiryomachi, Sendai 980-8574, Miyagi, Japan; Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1, Seiryomachi, Sendai 980-8575, Miyagi, Japan; Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
| | - Shinichi Kuriyama
- Division of Molecular Epidemiology, Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryomachi, Sendai 980-8573, Miyagi, Japan; Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, 2-1, Seiryomachi, Sendai 980-8575, Miyagi, Japan; International Research Institute of Disaster Science, Tohoku University, 468-1, Aramaki, Sendai 980-8572, Miyagi, Japan
| | - Takahiro Arima
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1, Seiryomachi, Sendai 980-8575, Miyagi, Japan
| | - Nobuo Yaegashi
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, 1-1, Seiryomachi, Sendai 980-8574, Miyagi, Japan; Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1, Seiryomachi, Sendai 980-8575, Miyagi, Japan; Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
| |
Collapse
|
9
|
Bovbjerg ML. Current Resources for Evidence-Based Practice, May 2022. J Obstet Gynecol Neonatal Nurs 2022; 51:349-357. [PMID: 35429460 DOI: 10.1016/j.jogn.2022.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
An extensive review of new resources to support the provision of evidence-based care for women and infants. The current column includes a discussion of the roles of researchers and clinicians in fostering evidence-based practice, diagnostic test accuracy in suspected preeclampsia, and the effectiveness of decision-making tools in patients with pre-pregnancy morbidities.
Collapse
|
10
|
Feng F, Xu D, Shao Y. A new biomarker neuropeptide Y and bioinformatics analysis of intrahepatic cholestasis of pregnancy. J Obstet Gynaecol Res 2022; 48:1648-1657. [PMID: 35365964 DOI: 10.1111/jog.15253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 03/09/2022] [Accepted: 03/21/2022] [Indexed: 11/27/2022]
Abstract
AIM To explore the expression of neuropeptide Y (NPY) and bioinformatics characteristics of intrahepatic cholestasis of pregnancy (ICP). METHODS Gene chip data of intrahepatic cholestasis of pregnancy were searched from the GEO database with bioinformatics method, and GSE46157 gene chip was downloaded. Differentially expressed genes in normal pregnant placenta tissue and ICP pregnant placenta tissue (bile acid concentration > 40 μmol/L) were screened by GEO2R. Functional annotation (GO) and pathway analysis (KEGG) were performed with DAVID. STRING online database and Cytoscape software were used for protein interaction network analysis. Maternal serum NPY level of 63 cases of ICP pregnant women and 20 normal pregnant women were investigated by ELISA. RESULTS After screening 3896 differential genes and protein interaction, the top 14 hub genes were selected with nine up-regulated and five down-regulated genes. ICP patients were divided into three subgroups according to serum TBA and ALT levels. Maternal serum NPY levels of pregnant women in ICP subgroups 1, 2, and 3 were significantly higher than those in the normal pregnant women. The number of premature births, meconium-staining amniotic fluid, neonatal asphyxia, and NICU admission was significantly higher in the ICP subgroup 1 than in the ICP subgroups 2 and 3, and than in the normal pregnant women. CONCLUSION This study indicates that many differentially expressed genes and signaling pathways are involved in the pathophysiological procedure of ICP. NPY could be a new biomarker of ICP.
Collapse
Affiliation(s)
- Fan Feng
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Di Xu
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yong Shao
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| |
Collapse
|