Evaluation of the predictive value of high sensitivity C-reactive protein in pregnancy-induced hypertension syndrome
- Authors:
- Published online on: May 31, 2018 https://doi.org/10.3892/etm.2018.6246
- Pages: 619-622
Abstract
Introduction
Pregnancy-induced hypertension syndrome (PIH) (1) is an idiopathic disease prone to occur in late pregnancy. At present, incidence of PIH in China is approximately 10%, and has become the most common serious complication of pregnancy. PIH as one of the top 3 leading causes of death in pregnant women seriously affecting maternal and infant health and safety (1–4). Clinical manifestations of PIH include edema, hypertension and urinary protein (5,6). Intervention in the early phase can effectively prevent the occurrence of severe symptoms. Microalbuminuria (mALb) is a macromolecule protein that can be used as a marker for early glomerular injury (7). C-reactive protein (CRP) is a non-specific inflammatory-related protein produced by the liver and regulated by plasma interleukin-6 (IL-6) (8). Qiu et al (9) discovered that serum CRP was significantly elevated in patients with PIH. Another study showed that postpartum PIH patients had higher levels of high sensitivity CRP (hs-CRP) than non-PIH patients (10). The goal of this study was to investigate the predictive value of serum hs-CRP for PIH patients and to explore its clinical diagnostic value.
Patients and methods
Patient information
PIH patients treated in The First People's Hospital of Chengdu from June 2013 to December 2015 were selected into this study. Among them, 60 patients had mild preeclampsia and the other 60 had severe preeclampsia. Sixty women with normal pregnancy during the same time period were included as control group. The PIH patients had varying degrees of edema, headache, high blood pressure, blurred vision; and their symptoms were in accordance with the PIH diagnostic criteria. Patients with tumors, blood diseases, essential hypertension, contagious diseases and severe liver and kidney diseases were excluded. Patients were divided into three groups: mild preeclampsia group, severe preeclampsia group and normal control group. Patients in the PIH group were aged from 22 to 43 years, and the average was 26.7±8.4 years, and they had given 1–3 births, and the average age was 2.4±0.6. Their gestational ages were 32–41 weeks, and the mean was 32.4±4.1 weeks. Patients in the control group were aged from 20 to 47 years, and the mean age was 25.7±8.1 years, and they had given 1–3 births, and the average was 2.1±0.5. Their gestational ages were 32–41 weeks, and the average was 33.6±3.7 weeks. There were no significant differences in age, number of previous birth and gestational age between the two groups (P>0.05). All pregnant women and their families were informed and signed the informed consent. This study was approved by the Ethics Committee of The First People's Hospital of Chengdu (Chengdu, China).
Inclusion and exclusion criteria
Inclusion criteria: Patients had not recently received irritant drug treatment, patients without family genetic disease, patients without memory and hearing impairment, patients who cooperated with follow-up and patients with compete clinical record.
Exclusion criteria: Patients below 18 years, patients with respiratory system disease, patients with blood relationship with other patients, patients who recently received blood transfusion therapy, patients with mental disease or physical insufficiency.
Diagnostic methods
Diagnostic methods refer to the ‘Chinese Hypertension Prevention Guidelines’ (11). Diagnostic criteria for PIH patients: blood pressure ≥140/90 mmHg after 20 weeks of pregnancy, and patients with urine protein ≥0.3 g/24 h or positive random urine protein, clinical manifestations of abdominal discomfort, headaches and other symptoms. Severe patients with blood pressure ≥160/110 mmHg, urinary protein ≥2.0 g/24 h or a strong positive random urine protein, serum creatinine >1,061 µmol/l, platelets <100×109/l, microangiopathic hemolysis (blood LDH elevating), stent headaches or other neurological or visual disturbances and persistent epigastric discomfort.
Methods
A total of 3 ml of intravenous blood was extracted from the PIH patients in the morning and stored in test tubes with anticoagulant. Fasting blood was obtained from the patients in the control group during their regular checkups. Level of hs-CRP in blood was measured by immunosorbent assay. Morning urine (3 ml) was collected to measure levels of mALb by immunoturbidimetry. hs-CRP and mALb kits were provided by Beijing Strong Biotechnology Co., Ltd. (Beijing, China). All tests were carried out by using Beckman Kurt AU5800 automatic biochemical analyzer. Standards and controls were provided by the manufacturers, and all operations were performed in strict accordance with the manufacturer's instructions.
Statistical analysis
SPSS 20.0 statistical software (IBM SPSS, Armonk, NY, USA) was used for data analysis. Measurement data were expressed as mean ± standard error and underwent normal distribution test. Non-normal distribution data were converted to normal distribution data before comparisons. ANOVA analysis was used for the comparisons among multiple groups and the post hoc test was Dunnetts test. ROC curve was used to analyze the predictive value of hs-CRP for PIH. P<0.05 was considered to indicate a statistically significant difference.
Results
Comparison of clinical data
Clinical data of three groups of patients were compared. Results showed no significant differences in age, gestational age, number of birth, fasting blood glucose, electrolytes, and blood lipids among 3 groups (P>0.05) (Table I).
Comparison of the levels of hs-CRP and mALb
Compared with the control group, the mild preeclampsia group and the severe preeclampsia group showed significantly higher hs-CRP and mALb levels (P<0.05). There were significant differences in levels of hs-CRP and mALb between the two preeclampsia groups (P<0.05) (Table II).
Analysis of diagnostic value of hs-CRP for PIH by ROC curve analysis
Potential diagnostic value of hs-CRP for PIH was analyzed by using ROC curve analysis. Results showed that hs-CRP had high predictive value for PIH with an AUC of 0.943 and 95% confidence interval (CI): 0.848–0.974. These data suggested that hs-CRP can be used as a potential diagnostic marker for PIH (Fig. 1).
Discussion
PIH is a unique disease in pregnant women that mainly affects women after 20 weeks of gestation and/or two weeks postpartum. Major symptoms include protein in urine and hypertension, and PIH occurs in 5% of pregnant women (12). Studies have shown that (9) PIH not only cause serious complications during perinatal period, but also increase the incidence of cardiovascular and cerebrovascular diseases, seriously affecting the health and safety of pregnant women.
Currently, it is thought that inflammatory response may participate in the occurrence and development of PIH, and PIH may be the first step of the onset of cardiovascular disease in women (13). Clinically, PIH is primarily diagnosed by quantification of 24 h urine protein and monitoring blood pressure, but those two indicators are susceptible to other factors (14). Increasing number of studies have shown that CRP plays an important role in the occurrence and development of PIH. CRP as an acute phase reaction protein is synthesized in liver cells, and detection of hs-CRP is more sensitive than CRP. hs-CRP is a sensitive marker reflecting low-level inflammation, and it is specifically expressed in cardiovascular disease (10). hs-CRP is an indicator for atherosclerosis, and is also one of the risk factors for hypertension. In a serum of healthy people, hs-CRP content is low, while its level increases dramatically in non-infectious inflammation (15). PIH occurs through systemic arteriolar spasms. The underlying mechanism is the injury and activation of endothelial cells, which causes placental ischemia and hypoxia. With those pathological changes, a series of cytotoxic factors will be released into the maternal body and lead to increased intravascular permeability. Finally, PIH patients will show prethrombotic symptoms and excessive coagulation substances will be released, which in turn lead to elevated blood hs-CRP level (16,17).
In this study, we investigated the expression of hs-CRP and clinical data of 120 patients with PIH and 60 normal pregnant women. The results showed that there were no significant differences among the three groups in clinical data, indicating that fasting blood glucose, electrolytes and lipids have no obvious impact on PIH. However, significant differences in peripheral blood hs-CRP and mALb were found between preeclampsia patients and normal pregnant women, and their levels increased when the eclampsia became more severe. These two indicators could be used as markers for the diagnosis of PIH. A study showed that (18) PIH patients had significantly higher mALb level than pregnant women without PIH, and elevated mALb excretion proceeded other clinical manifestations. Another study by Ertas et al (19) showed that e treatment of PIH patients. Finally, ROC curve analysis showed that hs-CRP had an AUC =0.943 and 95% CI: 0.848–0.974 in the diagnosis of PIH, which suggested that hs-CRP can be used to effectively predict PIH. Wang et al (20) suggested that hs-CRP can be used as a standard for the diagnosis of PIH, which is consistent with our conclusions.
ROC curve analysis used in this study increased the reliability of our data. However, there are still some drawbacks. The small sample size and regional differences might lead to bias of our results. Moreover, this is only a clinical study and no further study was performed. Therefore, more studies with larger sample size are needed to confirm the conclusions in the future.
In conclusion, peripheral blood hs-CRP increased with the development of PIH, and it could be used as a potential diagnostic marker for PIH. Monitoring hs-CRP closely can effectively control the development of this disease and timely intervene, which can effectively inhibit the progression of disease. Sufficient attention should be paid to its clinical value.
Acknowledgements
Not applicable.
Funding
No funding was received.
Availability of data and materials
The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.
Authors' contributions
HC drafted and finalized this manuscript. JZ and FQ were devoted to collecting and interpreting the data. XC and XJ revised it critically for important intellectual content. HC, JZ, FQ, XC and XJ contributed to the conception and design of the study. All authors read and approved the final study.
Ethics approval and consent to participate
This study was approved by the Ethics Committee of The First People's Hospital of Chengdu (Chengdu, China). Signed informed consents were obtained from the patients or guardians.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
References
Kappelle PJ, de Boer JF, Perton FG, Annema W, de Vries R, Dullaart RP and Tietge UJ: Increased LCAT activity and hyperglycaemia decrease the antioxidative functionality of HDL. Eur J Clin Invest. 42:487–495. 2012. View Article : Google Scholar : PubMed/NCBI | |
Kintiraki E, Papakatsika S, Kotronis G, Goulis DG and Kotsis V: Pregnancy-induced hypertension. Hormones (Athens). 14:211–223. 2015. View Article : Google Scholar : PubMed/NCBI | |
Andrews L and Patel N: Correlation of serum lactate dehydrogenase and pregnancy induced hypertension with its adverse outcomes. Int J Res Med Sci. 4:1347–1350. 2016. View Article : Google Scholar | |
George JN and Amaresh A: Neonatal mortality and morbidity in pregnancy induced hypertension: A prospective observational study. J Evol Med Dent Sci. 3:5238–5246. 2014. View Article : Google Scholar | |
Sibai BM and Stella CL: Diagnosis and management of atypical preeclampsia-eclampsia. Am J Obstet Gynecol. 200:481.e1–7. 2009. View Article : Google Scholar | |
Pouta A, Hartikainen AL, Sovio U, Gissler M, Laitinen J, McCarthy MI, Ruokonen A, Elliott P and Järvelin MR: Manifestations of metabolic syndrome after hypertensive pregnancy. Hypertension. 43:825–831. 2004. View Article : Google Scholar : PubMed/NCBI | |
Zhu H, Liu M, Yu H, Liu X, Zhong Y, Shu J, Fu X, Cai G, Chen X, Geng W, et al: Glycopatterns of urinary protein as new potential diagnosis indicators for diabetic nephropathy. J Diabetes Res. 2017:57280872017. View Article : Google Scholar : PubMed/NCBI | |
Volanakis JE: Human C-reactive protein: Expression, structure, and function. Mol Immunol. 38:189–197. 2001. View Article : Google Scholar : PubMed/NCBI | |
Qiu C, Sorensen TK, Luthy DA and Williams MA: A prospective study of maternal serum C-reactive protein (CRP) concentrations and risk of gestational diabetes mellitus. Paediatr Perinat Epidemiol. 18:377–384. 2004. View Article : Google Scholar : PubMed/NCBI | |
Paternoster DM, Fantinato S, Stella A, Nanhornguè KN, Milani M, Plebani M, Nicolini U and Girolami A: C-reactive protein in hypertensive disorders in pregnancy. Clin Appl Thromb Hemost. 12:330–337. 2006. View Article : Google Scholar : PubMed/NCBI | |
Liu LS: Writing Group of 2010 Chinese Guidelines for the Management of Hypertension: 2010 Chinese guidelines for the management of hypertension. Zhonghua Xin Xue Guan Bing Za Zhi. 39:579–615. 2011.(In Chinese). PubMed/NCBI | |
García RG, Celedón J, Sierra-Laguado J, Alarcón MA, Luengas C, Silva F, Arenas-Mantilla M and López-Jaramillo P: Raised C-reactive protein and impaired flow-mediated vasodilation precede the development of preeclampsia. Am J Hypertens. 20:98–103. 2007. View Article : Google Scholar : PubMed/NCBI | |
Freeman DJ, McManus F, Brown EA, Cherry L, Norrie J, Ramsay JE, Clark P, Walker ID, Sattar N and Greer IA: Short- and long-term changes in plasma inflammatory markers associated with preeclampsia. Hypertension. 44:708–714. 2004. View Article : Google Scholar : PubMed/NCBI | |
Watanabe K, Naruse K, Tanaka K, Metoki H and Suzuki Y: Outline of definition and classification of ‘pregnancy induced hypertension (PIH)’. Hypertens Res Pregnancy. 1:3–4. 2013. View Article : Google Scholar | |
El Desh F, El Naggar G, Eid M and Ibrahim E: Measurement of serum sex hormone-binding globulin as an early marker for gestational diabetes. Tanta Med J. 45:14–20. 2017. View Article : Google Scholar | |
Yousuf O, Mohanty BD, Martin SS, Joshi PH, Blaha MJ, Nasir K, Blumenthal RS and Budoff MJ: High-sensitivity C-reactive protein and cardiovascular disease: A resolute belief or an elusive link? J Am Coll Cardiol. 62:397–408. 2013. View Article : Google Scholar : PubMed/NCBI | |
Gaikwad KB, Joshi NG and Selkar SP: Study of nitrosative stress in ‘Pregnancy Induced Hypertension’. J Clin Diagn Res. 11:BC06–BC08. 2017.PubMed/NCBI | |
Niraula A, Lamsal M, Majhi S, Khan SA and Basnet P: Significance of serum uric acid in pregnancy induced hypertension. J Natl Med Assoc. 109:198–202. 2017. View Article : Google Scholar : PubMed/NCBI | |
Ertas IE, Kahyaoglu S, Yilmaz B, Ozel M, Sut N, Guven MA and Danisman N: Association of maternal serum high sensitive C-reactive protein level with body mass index and severity of pre-eclampsia at third trimester. J Obstet Gynaecol Res. 36:970–977. 2010. View Article : Google Scholar : PubMed/NCBI | |
Wang L, Liu ZQ, Huo YQ, Yao LJ, Wei XG and Wang YF: Change of hs-CRP, sVCAM-1, NT-proBNP levels in patients with pregnancy-induced hypertension after therapy with magnesium sulfate and nifedipine. Asian Pac J Trop Med. 6:897–901. 2013. View Article : Google Scholar : PubMed/NCBI |