1
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Ye D, Li S, Ding Y, Ma Z, He R. Clinical value of mean platelet volume in predicting and diagnosing pre-eclampsia: a systematic review and meta-analysis. Front Cardiovasc Med 2023; 10:1251304. [PMID: 37868773 PMCID: PMC10587588 DOI: 10.3389/fcvm.2023.1251304] [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: 07/01/2023] [Accepted: 09/20/2023] [Indexed: 10/24/2023] Open
Abstract
Background Pre-eclampsia (PE) is a severe pregnancy complication. Thrombocytopenia and platelet dysfunction are common hematology disorders in PE. Previous studies considered mean platelet volume (MPV), a functional marker of platelets, as a potentially useful predictor for the diagnosis of PE. Methods PubMed, China Biomedical Literature Database, Chinese National Knowledge Infrastructure, Embase, Wanfang, VIP, and Cochrane Library databases were searched to gather diagnostic trials evaluating the diagnosis of PE using MPV, from their inception to 13 March 2023. We also searched Google Scholar and Baidu. Results A total of 22 studies from 20 articles were found. The pooled diagnostic accuracy of the MPV for PE recognition was as follows: sensitivity (SEN) 0.676 [95% confidence interval (CI) (0.658-0.694)], specificity (SPE) 0.710 [95% CI (0.703-0.717)], and diagnostic odds ratio (DOR) 7.012 [95% CI (4.226-11.636)], and the SROC-AUC and Q* indices were 0.7889 and 0.7262, respectively. The pooled SEN, SPE, and DOR of the diagnostic accuracy of MPV for PE before 16 weeks of gestation were 0.707 [95% CI (0.670-0.743)], 0.639 [95% CI (0.611-0.667)], and 4.026 [95% CI (2.727-5.943)], and the SROC-AUC and Q* indices were 0.7278 and 0.6753, respectively. For the interval of truncation values between 9 and 10 fl, the SROC-AUC and Q* indices for MPV were 0.8856 and 0.8162, respectively. Conclusions Available evidence suggests that MPV has a moderate predictive and diagnostic value for PE, particularly in diagnosing after 20 weeks of gestation. The diagnostic accuracy is higher when the MPV cut-off falls between 9 and 10 fl. The sensitivity of MPV alone in diagnosing PE is not high, and the combination of other markers for predictive diagnosis may better differentiate PE. Systematic Review Registration https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023425154, identifier: CRD42023425154.
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Affiliation(s)
- Dan Ye
- The Second Clinical Medical College, Lanzhou University, Lanzhou, China
| | - Shuwen Li
- Department of Obstetrics, Lanzhou University Second Hospital, Lanzhou, China
| | - Yi Ding
- The Second Clinical Medical College, Lanzhou University, Lanzhou, China
| | - Zhenqin Ma
- The Second Clinical Medical College, Lanzhou University, Lanzhou, China
| | - Rongxia He
- Department of Obstetrics, Lanzhou University Second Hospital, Lanzhou, China
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2
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Lin SS, Wang CR, Wei DM, Lu JH, Chen XJ, Chen QZ, Xia XY, He JR, Qiu X. Incremental predictive value of platelet parameters for preeclampsia: results from a large prospective cohort study. BMC Pregnancy Childbirth 2023; 23:387. [PMID: 37237335 DOI: 10.1186/s12884-023-05661-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 04/28/2023] [Indexed: 05/28/2023] Open
Abstract
BACKGROUND Platelet parameters during pregnancy were associated with the risk of preeclampsia (PE), but the predictive value of these parameters for PE remained unclear. Our aim was to clarify the individual and incremental predictive value of platelet parameters, including platelet count (PC), mean platelet volume (MPV), plateletcrit (PCT), and platelet distribution width (PDW) for PE. METHODS This study was based on the Born in Guangzhou Cohort Study in China. Data on platelet parameters were extracted from medical records of routine prenatal examinations. Receiver operating characteristic (ROC) curve was performed to analyze the predictive ability of platelet parameters for PE. Maternal characteristic factors proposed by NICE and ACOG were used to develop the base model. Detection rate (DR), integrated discrimination improvement (IDI) and continuous net reclassification improvement (NRI) were calculated compared with the base model to assess the incremental predictive value of platelet parameters. RESULTS A total of 30,401 pregnancies were included in this study, of which 376 (1.24%) were diagnosed with PE. Higher levels of PC and PCT were observed at 12-19 gestational weeks in women who developed PE later. However, no platelet parameters before 20 weeks of gestation reliably distinguished between PE complicated pregnancy and non-PE complicated pregnancy, with all values of the areas under the ROC curves (AUC) below 0.70. The addition of platelet parameters at 16-19 gestational weeks to the base model increased the DR for preterm PE from 22.9 to 31.4% at a fixed false positive rate of 5%, improved the AUC from 0.775 to 0.849 (p = 0.015), and yielded a NRI of 0.793 (p < 0.001), and an IDI of 0.0069 (p = 0.035). Less but significant improvement in prediction performance was also observed for term PE and total PE when all the four platelet parameters were added to the base model. CONCLUSIONS Although no single platelet parameter at the early stage of pregnancy identified PE with high accuracy, the addition of platelet parameters to known independent risk factors could improve the prediction of PE.
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Affiliation(s)
- Shan-Shan Lin
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Cheng-Rui Wang
- Department of Women and Child Health Care, Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Dong-Mei Wei
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China
- Department of Women and Child Health Care, Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Jin-Hua Lu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China
- Department of Women and Child Health Care, Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Xiao-Juan Chen
- Department of Clinical Laboratory, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Qiao-Zhu Chen
- Department of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Xiao-Yan Xia
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China
- Department of Women and Child Health Care, Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Jian-Rong He
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.
- Department of Women and Child Health Care, Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.
| | - Xiu Qiu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.
- Department of Women's Health, Guangdong Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China.
- Guangdong Provincial Clinical Research Center for Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China.
- Provincial Key Laboratory of Research in Structure Birth Defect Disease and Department of Pediatric Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China.
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3
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Nakagawa T, Kang DH, Johnson RJ. An elevation in serum uric acid precedes the development of preeclampsia. Hypertens Res 2023; 46:809-811. [PMID: 36646882 DOI: 10.1038/s41440-023-01181-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 12/15/2022] [Accepted: 12/20/2022] [Indexed: 01/18/2023]
Affiliation(s)
- Takahiko Nakagawa
- Department of Regenerative Medicine Development, Shiga University of Medical Science, Shiga, Japan.
| | - Duk-Hee Kang
- Division of Nephrology, Department of Internal Medicine, Ewha Womans University College of Medicine, Ewha Medical Research Center, Seoul, Republic of Korea
| | - Richard J Johnson
- Division of Renal Diseases and Hypertension, University of Colorado Denver, Aurora, CO, USA
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4
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Association of first trimester serum uric acid with preeclampsia: an observational cohort study with propensity score matching. Hypertens Res 2023; 46:377-385. [PMID: 36539460 DOI: 10.1038/s41440-022-01115-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 10/28/2022] [Accepted: 10/31/2022] [Indexed: 12/24/2022]
Abstract
To elucidate whether uric acid changes in early pregnancy are associated with the development of preeclampsia and their association with preeclampsia-related adverse pregnancy outcomes. We conducted a retrospective cohort study of 4725 singleton pregnant women between January 2017 and July 2019 using propensity score matching. The primary outcome of the cohort was preeclampsia, and the secondary outcomes were preterm delivery, preterm preeclampsia and low birth weight infants. Multivariable predicted marginal proportions from logistic regression models were used to compute adjusted risk ratios. The quantitative-effect relationship between serum uric acid and preeclampsia development was observed by a dose‒response graph, and the effect of serum uric acid on the week of gestation at delivery was assessed using the Kaplan‒Meier method and the log-rank test. The risk of preeclampsia development increased with higher serum uric acid levels. After adjusting for confounders, the risk ratio for the development of preeclampsia with uric acid levels ≥240 µmol/l was 1.25 (95% CI: 0.96-1.65) compared with the group with uric acid levels <240 µmol/l. In the subgroup analysis of KM (Kaplan-Meier) curves, the gestational week at delivery was earlier when uric acid levels ≥240 µmol/l occurred at 8-12 weeks of gestation. Elevated serum uric acid levels before 20 weeks of gestation are associated with the development of preeclampsia, especially in the first 8-12 weeks of gestation, and the effect is attenuated with increasing gestational weeks, which suggests that elevated uric acid levels in early pregnancy may be a causative factor in preeclampsia. Elevated serum uric acid levels before 20 weeks of gestation are associated with the development of preeclampsia, especially in the early 8-12 weeks of gestation, and the effect attenuates with increasing gestational weeks, which suggest that elevated uric acid in early pregnancy may be a causative factor in preeclampsia.
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5
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Danielli M, Thomas RC, Gillies CL, Hu J, Khunti K, Tan BK. Blood biomarkers to predict the onset of pre-eclampsia: A systematic review and meta-analysis. Heliyon 2022; 8:e11226. [DOI: 10.1016/j.heliyon.2022.e11226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 09/29/2022] [Accepted: 10/19/2022] [Indexed: 11/06/2022] Open
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6
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Walle M, Gelaw Y, Getu F, Asrie F, Getaneh Z. Preeclampsia has an association with both platelet count and mean platelet volume: A systematic review and meta-analysis. PLoS One 2022; 17:e0274398. [PMID: 36103491 PMCID: PMC9473393 DOI: 10.1371/journal.pone.0274398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 08/26/2022] [Indexed: 11/19/2022] Open
Abstract
Background
Preeclampsia (PE) is a pregnancy-specific disorder characterized by endothelial dysfunction, and activation of the coagulation system. Alteration of PLT parameters is the common hematological abnormality observed in women with PE. The main aim of this study was to systematically review previous studies from around the world to generate evidence about the relationship between platelet count (PC) and PE, as well as mean platelet volume (MPV) and PE, by calculating the pooled weighted mean difference (WMD) of PC and MPV between PE and normotensive (NT) groups.
Methods
Relevant articles which were published in the English language from January 10, 2011, to January 10, 2021, were systematically searched through PubMed, Web of Science, and African journals online. In addition, reference probing of published articles searching was employed through Google Scholar and Google for searching grey literature. The methodological qualities of articles were assessed using Joana Brigg’s institute critical appraisal checklist. A random-effects model was used to estimate pooled WMD of PLT parameters between the two groups with the respective 95% confidence intervals (CI) using Stata version 11.0. The I2 statistics and Egger’s regression test were used to assess heterogeneity and publication bias among included studies, respectively.
Results
A total of 25 articles were included in this systematic review and meta-analysis. Of which, 23 studies were used in each PC and MPV analysis. The overall pooled WMD of PC and MPV between PE and NT groups were -41.45 × 109/L [95% CI; -51.8, -31.0] and 0.98 fl [95% CI; 0.8, 1.1], respectively. The pooled WMD revealed that PC decreased significantly in the PE group compared to the NT group while MPV increased significantly in the PE group.
Conclusions
This systematic review and meta-analysis indicated that there is a significant decrease in PC and a significant increase in MPV during PE development among pregnant women. As a result, a change in these parameters among pregnant women may indicate the development of PE.
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Affiliation(s)
- Muluken Walle
- Medicallaboratory Science Department, College of Medicine and Health Sciences, Jigjiga University, Jigjiga, Ethiopia
| | - Yemataw Gelaw
- Department of Hematology and Immunohematology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Fasil Getu
- Medicallaboratory Science Department, College of Medicine and Health Sciences, Jigjiga University, Jigjiga, Ethiopia
| | - Fikir Asrie
- Department of Hematology and Immunohematology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Zegeye Getaneh
- Department of Hematology and Immunohematology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
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7
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Toro Wills M, Sánchez Valencia L, Rangel Ramos V, Pedraza Flechas A, Martínez Ávila M. Ácido úrico herramienta de tamización para preeclampsia. Una revisión sistemática de la literatura. CLINICA E INVESTIGACION EN GINECOLOGIA Y OBSTETRICIA 2022. [DOI: 10.1016/j.gine.2022.100749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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8
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Riis JL, Cook SH, Letourneau N, Campbell T, Granger DA, Giesbrecht GF. Characterizing and Evaluating Diurnal Salivary Uric Acid Across Pregnancy Among Healthy Women. Front Endocrinol (Lausanne) 2022; 13:813564. [PMID: 35370953 PMCID: PMC8971544 DOI: 10.3389/fendo.2022.813564] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 02/14/2022] [Indexed: 11/26/2022] Open
Abstract
Uric acid levels during pregnancy have been examined as a potential indicator of risk for gestational diabetes mellites, hypertension, and related adverse birth outcomes. However, evidence supporting the utility of serum uric acid levels in predicting poor maternal and fetal health has been mixed. The lack of consistent findings may be due to limitations inherent in serum-based biomeasure evaluations, such as minimal repeated assessments and variability in the timing of these assessments. To address these gaps, we examined repeated measurements of diurnal salivary uric acid (sUA) levels in a sample of 44 healthy women across early-mid and late pregnancy. We assessed potential covariates and confounds of sUA levels and diurnal trajectories, as well as associations between maternal weight gain and blood pressure during pregnancy and sUA concentrations. Using multilevel linear models, we found sUA increased across pregnancy and displayed a robust diurnal pattern with the highest concentrations at waking, a steep decline in the early morning, and decreasing levels across the day. Maternal pre-pregnancy BMI, age, prior-night sleep duration, and fetal sex were associated with sUA levels and/or diurnal slopes. Maternal blood pressure and gestational weight gain also showed significant associations with sUA levels across pregnancy. Our results expand upon those found with serum UA measurements. Further, they demonstrate the feasibility of using at-home, minimally-invasive saliva sampling procedures to track UA levels across pregnancy with potential applications for the long-term monitoring of maternal cardiometabolic risk.
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Affiliation(s)
- Jenna L. Riis
- Institute for Interdisciplinary Salivary Bioscience Research, University of California, Irvine, Irvine, CA, United States
- Department of Psychological Science, School of Social Ecology, University of California, Irvine, Irvine, CA, United States
- *Correspondence: Jenna L. Riis,
| | - Stephanie H. Cook
- Social and Behavioral Sciences, School of Global Public Health, New York University, New York, NY, United States
- Biostatistics, School of Global Public Health, New York University, New York, NY, United States
| | - Nicole Letourneau
- Alberta Children’s Hospital Research Institute, Calgary, AB, Canada
- Department of Pediatrics, University of Calgary, Calgary, AB, Canada
- Faculty of Nursing, University of Calgary, Calgary, AB, Canada
- Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Tavis Campbell
- Department of Psychology, University of Calgary, Calgary, AB, Canada
| | - Douglas A. Granger
- Institute for Interdisciplinary Salivary Bioscience Research, University of California, Irvine, Irvine, CA, United States
- Department of Psychological Science, School of Social Ecology, University of California, Irvine, Irvine, CA, United States
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Gerald F. Giesbrecht
- Alberta Children’s Hospital Research Institute, Calgary, AB, Canada
- Department of Pediatrics, University of Calgary, Calgary, AB, Canada
- Faculty of Nursing, University of Calgary, Calgary, AB, Canada
- Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada
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9
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Lin S, Zhang L, Shen S, Wei D, Lu J, Chen X, Chen Q, Xia X, Xiu Q. Platelet Parameters and Risk of Hypertension disorders of Pregnancy: a Propensity Score Adjusted Analysis. Platelets 2021; 33:543-550. [PMID: 34223796 DOI: 10.1080/09537104.2021.1945569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
While the role of platelets in cardiovascular diseases among the general population has been widely reported, evidence is inconsistent regarding the association between platelet indices with hypertension in pregnant women. In this study, we explored the associations between platelet parameters before 20 gestational weeks, an understudied period, with hypertensive disorders of pregnancy (HDP), including preeclampsia/eclampsia (PEEC) and gestational hypertension (GH). Based on the Born in Guangzhou Cohort Study, 12053 singleton pregnant women with platelet parameters, including platelet count (PC), mean platelet volume (MPV), plateletcrit (PCT), and platelet distribution width (PDW) measured at 14-19 gestational weeks were included. Conventional multivariable adjustment and propensity score analysis were used to control for confounders. The restricted cubic spline showed that the risk of PEEC increased linearly for PC, and non-linearly for PCT. For GH, the risk increased linearly for PC, MPV, and PCT, and non-linearly for PDW. When these indices were categorized into quintiles, women with higher PC and PCT were associated with increased risk of both PEEC and GH. Women with MPV exceeding the second quintile (≥ 8.8 fL) had a greater risk for GH, but not for PEEC. When HDP was classified into two groups (early- vs late-onset) based on the occurrence time, significant associations persisted for early-onset PEEC, early-onset GH, and late-onset GH. In conclusion, increased PC and PCT before 20 weeks of gestation were both associated with higher risk of PEEC and GH, while elevated MPV was only linked to GH.
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Affiliation(s)
- Shanshan Lin
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Lifang Zhang
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.,Department of Women and Child Health Care and Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Songying Shen
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.,Department of Women and Child Health Care and Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Dongmei Wei
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.,Department of Women and Child Health Care and Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Jinhua Lu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.,Department of Women and Child Health Care and Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Xiaojuan Chen
- Department of Clinical Laboratory, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Qiaozhu Chen
- Department of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Xiaoyan Xia
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.,Department of Women and Child Health Care and Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Qiu Xiu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.,Department of Women and Child Health Care and Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China.,Department of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
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10
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Bulbul M, Uckardes F, Karacor T, Nacar MC, Kaplan S, Kirici P, Surucu A. Can complete blood count parameters that change according to trimester in pregnancy be used to predict severe preeclampsia? J OBSTET GYNAECOL 2021; 41:1192-1198. [PMID: 33645411 DOI: 10.1080/01443615.2020.1854697] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
We aimed to evaluate the effectiveness of changes over time in complete blood count (CBC) parameters to estimate the diagnosis of preeclampsia. Data on 161 severe preeclampsia patients and 161 healthy pregnant patients who met the study criteria of pregnant women whose CBC had been measured at 10-12, 22-24 and 28-30 weeks of pregnancy were compared. In the preeclampsia group, an increase in the mean platelet volume (MPV) value and a decrease in the number of platelets were statistically significant in the transition from the second to the third trimester. MPV and lymphocyte counts were more significant in the third trimester and neutrophil lymphocyte ratio (NLR) were more significant in the second trimester. We found that evaluation of the changes in lymphocyte, MPV and NLR values in three different trimesters of pregnancy rather than a single trimester was more meaningful to predict severe preeclampsia.Impact StatementWhat is already known on this subject? Studies have shown that MPV and NLR can predict preeclampsia. However, a clear cut off value could not be determined. The reasons for this may be that the gestational week during which the measurement is made is not standard and the patient groups are not homogeneous.What the results of this study add? In this study, CBC parameters at different stages of the preeclampsia process were compared in the severe preeclampsia group. According to our results, lymphocytes, NLR and MPV can be used to predict severe preeclampsia. In addition, NLR measurements in the second trimester and MPV and lymphocyte measurements in the third trimester were found to be more significant in predicting severe preeclampsia.What the implications are of these findings for clinical practice and/or further research? In order to predict severe preeclampsia, instead of a single measurement of CBC parameters, new calculations should be made that add change over time.
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Affiliation(s)
- Mehmet Bulbul
- Department of Obstetrics and Gynecology, Faculty of Medicine, Adiyaman University, Adiyaman, Turkey
| | - Fatih Uckardes
- Department of Biostatistics and Medical Informatics, Faculty of Medicine, Adiyaman University, Adiyaman, Turkey
| | - Talip Karacor
- Department of Obstetrics and Gynecology, Faculty of Medicine, Adiyaman University, Adiyaman, Turkey
| | - Mehmet Can Nacar
- Department of Obstetrics and Gynecology, Faculty of Medicine, Adiyaman University, Adiyaman, Turkey
| | - Selcuk Kaplan
- Department of Obstetrics and Gynecology, Faculty of Medicine, Adiyaman University, Adiyaman, Turkey
| | - Pinar Kirici
- Department of Obstetrics and Gynecology, Faculty of Medicine, Adiyaman University, Adiyaman, Turkey
| | - Adem Surucu
- Department of Obstetrics and Gynecology, Faculty of Medicine, Adiyaman University, Adiyaman, Turkey
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11
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Wang J, Hu H, Liu X, Zhao S, Zheng Y, Jia Z, Chen L, Zhang C, Xie X, Zhong J, Dong Y, Liu J, Lu Y, Zhao Z, Zhai Y, Zhao J, Cao Z. Predictive values of various serum biomarkers in women with suspected preeclampsia: A prospective study. J Clin Lab Anal 2021; 35:e23740. [PMID: 33616216 PMCID: PMC8128315 DOI: 10.1002/jcla.23740] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 02/05/2021] [Accepted: 02/09/2021] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Preeclampsia (PE) prediction has been shown to improve the maternal and fetal outcomes in pregnancy. We aimed to evaluate the PE prediction values of a series of serum biomarkers. METHODS The singleton pregnant women (20-36 gestational weeks) with PE-related clinical and/or laboratory presentations were recruited and had the blood drawn at their first visits. The following markers were tested with the collected serum samples: soluble fms-like tyrosine kinase 1 (sFlt-1), placental growth factor (PlGF), thrombomodulin (TM), tissue plasminogen activator inhibitor complex (tPAI-C), complement factors C1q, B, H, glycosylated fibronectin (GlyFn), pregnancy-associated plasma protein-A2 (PAPP-A2), blood urea nitrogen (BUN), creatinine (Cre), uric acid (UA), and cystatin C (Cysc). RESULTS Of the 196 recruited subjects, 25% (n = 49) developed preeclampsia before delivery, and 75% remained preeclampsia negative (n = 147). The serum levels of sFlt-1, BUN, Cre, UA, Cysc, and PAPP-A2 were significantly elevated, and the PlGF level was significantly decreased in the preeclampsia-positive patients. In the receiver operating characteristics (ROC) analyses, the area under the curves were listed in the order of decreasing values: 0.73 (UA), 0.67 (sFlt-1/PlGF), 0.66 (Cysc), 0.65 (GlyFn/PlGF), 0.64 (PAPP-A2/PlGF), 0.63 (BUN), 0.63 (Cre), and 0.60 (PAPP-A2). The positive predictive values of these serum markers were between 33.1% and 58.5%, and the negative predictive values were between 80.9% and 89.5%. CONCLUSIONS The serum markers investigated in current study showed better performance in ruling out than ruling in PE. Absence of pre-defined latency period between blood draw and the onset of PE limits the clinical utility of these markers.
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Affiliation(s)
- Jing Wang
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Honghai Hu
- Guangzhou Kangrun Biotech Co. Ltd, Guangdong, China
| | - Xiaowei Liu
- Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Shenglong Zhao
- Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Yuanyuan Zheng
- Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Zhaoxia Jia
- Department of Information and Statistics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Lu Chen
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Chunhong Zhang
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Xin Xie
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Junhui Zhong
- Scientific & Application Division, Sysmex Shanghai Ltd, Beijing, China
| | - Ying Dong
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Jingrui Liu
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Yifan Lu
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Zhen Zhao
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Yanhong Zhai
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Juan Zhao
- Hospital Administration Office, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Zheng Cao
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
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Jelena M, Sopić M, Joksić I, Zmrzljak UP, Karadžov-Orlić N, Košir R, Egić A, Miković Ž, Ninić A, Spasojević-Kalimanovska V. Placenta-specific plasma miR518b is a potential biomarker for preeclampsia. Clin Biochem 2020; 79:28-33. [PMID: 32092293 DOI: 10.1016/j.clinbiochem.2020.02.012] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Revised: 02/06/2020] [Accepted: 02/18/2020] [Indexed: 02/07/2023]
Abstract
INTRODUCTION MicroRNAs have a significant role in the pathogenesis of preeclampsia. Circulating microRNAs could represent a potential biomarker for preeclampsia. The aim of this study was to evaluate plasma miR210-3p and miR518b in preeclampsia and healthy pregnancy for the first time by digital droplet PCR (ddPCR). METHODS Thirty-six pregnant women (seventeen healthy pregnancies, nineteen preeclampsia patients) were involved from the Clinic for Gynaecology and Obstetrics "Narodni front" in Belgrade, Serbia. Plasma miR210-3p, miR518b and cel-miR-39 as a spike-in control were measured by ddPCR. RESULTS MiR518b was significantly elevated in preeclampsia compared to a healthy pregnancy (P = 0.034; 0.302(0.217-0.421) vs. 0.171(0.110-0.266)). MiR210-3p showed no significant difference between the two groups (P = 0.951). The adjustment of miR518b was made for a gestational age and smoking status and the difference between the preeclampsia and healthy pregnancy group was more significant (P = 0.026; 0.300(0.216-0.419) vs. 0.172(0.121-0.245)). Plasma miR-518b was significantly higher in the group of preeclampsia patients with proteinuria above the 75th percentile for the group (P = 0.033), in women who smoked (P = 0.039), and was positively related to uric acid in preeclampsia (P = 0.018, r = 0.536). Plasma miR518b was able to significantly discriminate between preeclampsia and healthy pregnancy, yielding AUC of 0.712 (95%CI:0.539-0.891), P = 0.028. CONCLUSIONS In this study plasma microRNA were measured for the first time in preeclampsia and healthy pregnancies with ddPCR. Placenta-specific miR-518b could serve as a potential biomarker for discriminating preeclampsia and healthy pregnancy, which should be confirmed on a larger study population. This study has failed to confirm the same potential for miR210-3p.
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Affiliation(s)
- Munjas Jelena
- Department of Medical Biochemistry, Faculty of Pharmacy, University of Belgrade, Street Vojvode Stepe 450, 11000 Belgrade, Serbia.
| | - Miron Sopić
- Department of Medical Biochemistry, Faculty of Pharmacy, University of Belgrade, Street Vojvode Stepe 450, 11000 Belgrade, Serbia.
| | - Ivana Joksić
- Genetic Laboratory Department, Obstetrics and Gynaecology Clinic "Narodni Front", Street Kraljice Natalije 62, 11000 Belgrade, Serbia
| | | | - Nataša Karadžov-Orlić
- High-Risk Pregnancy Department, Obstetrics and Gynaecology Clinic "Narodni Front", Street Kraljice Natalije 62, 11000 Belgrade, Serbia; School of Medicine, University of Belgrade, Street Dr Subotica 8, 11000 Belgrade, Serbia
| | - Rok Košir
- BIA Separations CRO, Labena Ltd., Street Verovškova 64, 1000 Ljubljana, Slovenia.
| | - Amira Egić
- High-Risk Pregnancy Department, Obstetrics and Gynaecology Clinic "Narodni Front", Street Kraljice Natalije 62, 11000 Belgrade, Serbia; School of Medicine, University of Belgrade, Street Dr Subotica 8, 11000 Belgrade, Serbia
| | - Željko Miković
- High-Risk Pregnancy Department, Obstetrics and Gynaecology Clinic "Narodni Front", Street Kraljice Natalije 62, 11000 Belgrade, Serbia; School of Medicine, University of Belgrade, Street Dr Subotica 8, 11000 Belgrade, Serbia
| | - Ana Ninić
- Department of Medical Biochemistry, Faculty of Pharmacy, University of Belgrade, Street Vojvode Stepe 450, 11000 Belgrade, Serbia.
| | - Vesna Spasojević-Kalimanovska
- Department of Medical Biochemistry, Faculty of Pharmacy, University of Belgrade, Street Vojvode Stepe 450, 11000 Belgrade, Serbia.
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Zhang H, Zhang Y, Wang Z, Yan J. Platelet count and mean platelet volume predict atypical pre-eclampsia. Pregnancy Hypertens 2019; 18:29-34. [DOI: 10.1016/j.preghy.2019.08.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 08/04/2019] [Accepted: 08/15/2019] [Indexed: 02/01/2023]
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