Evidence map›Paper›PMID 34587968›Full record

ArticleLipids in health and disease2021

Changes in serum TG levels during pregnancy and their association with postpartum hypertriglyceridemia: a population-based prospective cohort study.

Yandi Zhu, Haiyan Zhu, Qinyu Dang, Qian Yang, Dongxu Huang, Yadi Zhang, Xiaxia Cai, Huanling Yu

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Yandi ZhuDepartment of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, 100069, Beijing, P.R. China.
Haiyan ZhuFuXing Hospital, Capital Medical University, 100045, Beijing, P.R. China. Zhuhaiyan929@126.com.
Qinyu DangDepartment of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, 100069, Beijing, P.R. China.
Qian YangDepartment of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, 100069, Beijing, P.R. China.
Dongxu HuangDepartment of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, 100069, Beijing, P.R. China.
Yadi ZhangDepartment of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, 100069, Beijing, P.R. China.
Xiaxia CaiDepartment of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, 100069, Beijing, P.R. China.
Huanling YuDepartment of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, 100069, Beijing, P.R. China. yuhlzjl@ccmu.edu.cn.
Capital Medical University · CN

Funding

beijing natural science foundation - beijing municipal education commission joint funding key program KZ201710025018national key research and development program of china 2016YFC1000105
6 · The paper itself

Abstract

backgroundBlood lipid increases during gestation are considered a physiological adaption, and decrease after delivery. However, some adverse pregnancy outcomes are thought to be related to gestational lipid levels. Therefore, it is necessary to have a reference range for lipid changes during gestation. The present study aims to describe triglyceride (TG) changes during pregnancy and 42 days postpartum and to find cut-off points for TG levels during the first, second, and third trimesters.

methodsA total of 908 pregnant women were followed from recruitment to 42 days postpartum, and their serum lipids were collected at gestational weeks 6-8, 16, 24, and 36 and 42 days postpartum. The major outcome was postpartum hypertriglyceridemia. The association between gestational and postpartum TG levels was analysed by stepwise multiple linear regression. A two-stage approach including a linear mixed-effect model and linear or logistic regression was conducted to explore the contribution of the changes in TG over time in pregnancy to postpartum hypertriglyceridemia. Logistic regression was constructed to examine the association between gestational TG levels and postpartum hypertriglyceridemia. Cut-off points were calculated by receiver operating characteristic (ROC) curves.

resultsThere was a tendency for serum TG to increase with gestational age and decrease at 42 days postpartum. Prepregnancy overweight, obesity, and GDM intensified this elevation. Higher TG levels at gestational weeks 6-8, 16, 24, and 36 were positively associated with a higher risk of postpartum hypertriglyceridemia [OR 4.962, 95 % CI (3.007-8.189); OR 2.076, 95 % CI (1.303-3.309); OR 1.563, 95 % CI (1.092-2.236); and OR 1.534, 95 % CI (1.208-1.946), respectively]. The trend of the change in TG over time was positively associated with the TG level and risk of postpartum hypertriglyceridemia [OR 11.660, 95 % CI (6.018-22.591)]. Based on ROC curves, the cut-off points of serum TG levels were 1.93, 2.35, and 3.08 mmol/L at gestational weeks 16, 24, and 36, respectively. Stratified analysis of prepregnancy body mass index (pre-BMI) and GDM showed that higher gestational TG was a risk factor for postpartum hypertriglyceridemia in women with normal pre-BMI and without GDM.

conclusionsGestational TG and its elevation were risk and predictive factors of postpartum hypertriglyceridemia, especially in pregnant women with normal pre-BMI or without GDM.

Indexed as

AdultBirth WeightBlood GlucoseBody Mass IndexDiabetes, GestationalFemaleHumansHypertriglyceridemiaLinear ModelsObesityOverweightPostpartum PeriodPregnancyProspective StudiesRiskRisk FactorsBlood GlucoseTriglyceridesCut-offGDMHypertriglyceridemiaPostpartumPre-BMIPregnancyTG

Identifiers

PMID34587968
PMCPMC8480071
OpenAlexW3204119836

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.