Comparison of the predictive value of plateletcrit with various other blood parameters in gestational diabetes development

Blood Cells Parameters in Second Trimester of Pregnancy and Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis

OBJECTIVE

Gestational diabetes mellitus (GDM) is one of the most common complications during pregnancy. There is inconsistency between previous studies regarding the blood and inflammatory parameters levels among pregnant women and its association with GDM. This study aimed to investigate the relationship between blood parameters in relation to GDM.

METHODS

Systematic literature searches were carried out through databases like PubMed, Web of Science, Epistemonikos, Scopus, Scientific Information Database and Magiran till May 2024. The effect size of serum blood parameters levels was determined by using standard mean deviations (SMDs) and 95% confidence intervals (CIs).

RESULTS

Thirty articles were included in this study. Meta-analysis showed that compared with the control group, women with GDM had significantly higher levels of haemoglobin (0.343 [95% CI 0.134-0.553] p = 0.01, sensitivity analysis: 0.174 [95% CI 0.0343-0.315] p = 0.01), red blood cell (0.387 [95% CI 0.224-0.550] p < 0.001), mean platelet volume (0.498 [95% CI 0.165-0.831] p = 0.003), white blood cell count (0.351 [95% CI 0.0882-0.615] p = 0.009) and neutrophil-lymphocyte ratio (0.534 [95% CI 0.127-0.941] p = 0.01). However, women with GDM had lower levels of mean corpuscular haemoglobin concentration (-0.249 [95% CI -0.386--0.112] p < 0.001). Pooled results from MPV showed no association between adjusted MPV and GDM (adjusted OR 1.33 [95% CI 0.8-1.86] I2 = 57.2%).

CONCLUSIONS

Finding supports higher levels of blood parameters (Hb, RBC, WBC, NLR and MPV) among women with GDM in the second trimester of pregnancy. Future studies should investigate the potential role of these haematological markers as predictive tools for adverse pregnancy outcomes and evaluate therapeutic interventions targeting these parameters to enhance maternal and fetal health.

Blood indices of inflammation and their association with hypertension in smokers: analysis using data mining approaches

Although there have been reports on the association between smoking and increased level of inflammatory markers in hypertensive this has not been assessed prospectively in a large, modern cohort using data mining approaches. We conducted a cross-sectional analysis of the Mashad trial which was a prospective. 2085 smokers aged 35 to 65 years was studied. Inflammatory indices measured included: Hemoglobin-Platelet Ratio (HPR), Uric acid-high Density Lipoprotein (HDL) Ratio (UHR), Neutrophil-Lymphocyte Ratio (NLR), Systemic Immune Inflammation (SII) index, WBC, Platelet-Lymphocyte Ratio (PLR), and RBC Distribution Width (RDW). The association between these parameters and smoking in hypertensive individuals was examined. Over the course of the 6-year monitoring period, 585 peoples had HTN of whom the majority was female (59%). As per the LR analysis, there was a significant association between hypertension and age, WBC, SII, PLR in female smokers, as well as age and PLR in male smokers. (p-value < 0.05). PLR (OR = 0.993, CI 95% (0.987, 0.999)) and age (1.080 (1.058, 1.102)) for male and WBC (1.340 (1.139, 1.577)) and age (1.091 (1.070, 1.113)) for female exhibits the most appropriate estimate. Using the DT model for male individuals, those with, age ≥ 64 years, and SII < 336 had the correlated with hypertension prevalence (76%). For females, those with age ≥ 62 years, WBC ≥ 6.1, and SII < 445.634 had the highest risk of HTN. Age and SII for smoker males and age and WBC for smoker females showed the strongest correlation with hypertension. Age and WBC were the most significant indicators for predicting HTN.

Predictive Utility of Biochemical Markers for the Diagnosis and Prognosis of Gestational Diabetes Mellitus

Gestational diabetes mellitus (GDM) is a common complication during pregnancy with an increasing prevalence worldwide. Early prediction of GDM and its associated adverse outcomes is crucial for timely intervention and improved maternal and fetal health. The objective of this review is to provide a comprehensive summary of contemporary evidence on biomarkers, focusing on their potential to predict the development of GDM and serve as predictors of maternal, fetal, and neonatal outcomes in women with GDM. A literature search was conducted in the PubMed database using relevant terms. Original research articles published in English between 1 January 2015, and 30 June 2024, were included. A two-stage screening process was employed to identify studies on biomarkers for GDM diagnosis and prognosis and to evaluate the evidence for each biomarker's diagnostic performance and its potential prognostic correlation with GDM. Various biochemical markers, including adipokines, inflammatory markers, insulin resistance markers, glycemic markers, lipid profile markers, placenta-derived markers, and other related markers, have shown promise in identifying women at risk of developing GDM and predicting adverse pregnancy outcomes. Several promising markers with high predictive performance were identified. However, no single biomarker has demonstrated sufficient accuracy to replace the current diagnostic criteria for GDM. The complexity of multiple pathways in GDM pathogenesis highlights the need for a multi-marker approach to improve risk stratification and guide personalized management strategies. While significant progress has been made in GDM biomarker research, further studies are required to refine and validate these markers for clinical use and to develop a comprehensive, evidence-based approach to GDM prediction and management that can improve maternal and child health outcomes.

A stacked machine learning-based classification model for endometriosis and adenomyosis: a retrospective cohort study utilizing peripheral blood and coagulation markers

Introduction

Endometriosis (EMs) and adenomyosis (AD) are common gynecological diseases that impact women's health, and they share symptoms such as dysmenorrhea, chronic pain, and infertility, which adversely affect women's quality of life. Current diagnostic approaches for EMs and AD involve invasive surgical procedures, and thus, methods of noninvasive differentiation between EMs and AD are needed. This retrospective cohort study introduces a novel, noninvasive classification methodology employing a stacked ensemble machine learning (ML) model that utilizes peripheral blood and coagulation markers to distinguish between EMs and AD.

Methods

The study included a total of 558 patients (329 with EMs and 229 with AD), in whom key hematological and coagulation markers were analyzed to identify distinctive profiles. Feature selection was conducted through ML (logistic regression, support vector machine, and K-nearest neighbors) to determine significant hematological markers.

Results

Red cell distribution width, mean corpuscular hemoglobin concentration, activated partial thromboplastin time, international normalized ratio, and antithrombin III were proved to be the key distinguishing indexes for disease differentiation. Among all the ML classification models developed, the stacked ensemble model demonstrated superior performance (area under the curve = 0.803, 95% credibility interval = 0.701-0.904). Our findings demonstrate the effectiveness of the stacked ensemble ML model for classifying EMs and AD.

Discussion

Integrating biomarkers into this multi-algorithm framework offers a novel approach to noninvasive diagnosis. These results advocate for the application of stacked ensemble ML utilizing cost-effective and readily available peripheral blood and coagulation indicators for the early, rapid, and noninvasive differential diagnosis of EMs and AD, offering a potentially transformative approach for clinical decision-making and personalized treatment strategies.

Hemoglobin at the first visit of pregnancy and developing gestational diabetes mellitus: Results of a prospective registry cohort study

BACKGROUND AND AIM

Gestational diabetes mellitus (GDM) is associated with a considerable risk of diabetes in the future. Few studies focused on the association between hemoglobin levels and developing gestational diabetes. This study aimed to determine the association of hemoglobin in early pregnancy and developing gestational diabetes mellitus.

METHODS

A prospective registry cohort study was designed for the recall of women with gestational diabetes mellitus. The registry was implemented in the health centers of Ahvaz City in 2019. Biological and clinical assessments were done, and interviewer-administered questionnaires were used to collect data on socio-demographic Features, medical and obstetric history, and risk factors of GDM. SPSS used for data analysis. The optimal hemoglobin cut-off point, its sensitivity, and specificity for the prediction of GDM were estimated using ROC analysis.

RESULTS

The prevalence of anemia was 17.1% in pregnant women (8.1% in women with gestational diabetes versus %24.2% in the healthy group, p < 0.001). The hemoglobin mean in women with GDM was significantly higher than in healthy women (P < 0.001). Hemoglobin at the first visit was significantly associated with a greater risk of gestational diabetes (OR = 3.80, 95% CI: 3.05-4.74). The area under the curve (AUC) was 0.76 (95% CI 0.73-79), and the optimal cut-off point for hemoglobin was 11.90 g/dL, with a sensitivity of 75% and a specificity of 68%. Women with a higher hemoglobin level had a 3.8- more risk of developing GDM.

CONCLUSION

Measurement of hemoglobin can be a relatively good tool for predicting gestational diabetes in the first months of pregnancy. The combination of hemoglobin with fasting blood sugar and BMI improves the predictive value for gestational diabetes incidence.

Is maternal serum endocan level a novel marker in gestational diabetes mellitus?

AIM

To determine whether there was a significant difference between serum endocan levels of pregnant women with and without gestational diabetes mellitus (GDM).

METHODS

A total of 90 pregnant women, 45 with gestational diabetes and 45 healthy pregnant women, between 24 and 28 gestational weeks, were included in this prospective case-control study. The pregnant women were screened for gestational diabetes using a two-step protocol. Serum endocan levels were measured using a commercially available enzyme-linked immunosorbent assay (ELISA) kit. A p-value of <0.05 was considered statistically significant.

RESULTS

Serum endocan level was significantly higher in the GDM group than in healthy controls (168.46 ± 160.6 vs. 105.66 ± 26.52 pg/mL, respectively; p < 0.001). Serum endocan concentrations were positively correlated with the results of 50 g oral glucose challenge test (GCT) (p < 0.001). Receiver operating characteristic curve analysis showed that endocan with a cut-off point of 133.9 ng/dL indicated women with GDM with a sensitivity of 55.6% and specificity of 88.9% (area under the curve [AUC]: 0.737, 95% CI: 0.634-0.824). The overall differential performance of endocan according to the GDM groups was determined as 73.7% (p < 0.001). Maternal serum endocan level was positively correlated with fasting glucose, postprandial glucose, and glycated hemoglobin (HbA1c) (p < 0.001).

CONCLUSIONS

Elevated endocan levels in gestational diabetes were correlated with fasting glucose, postprandial glucose, HbA1c, and oral glucose tolerance test (OGTT) results. Despite the low sensitivity of 55.6% and the high specificity of 88.9%, we found a high differential performance rate indicating that serum endocan levels were important for the pathophysiology of GDM and should be investigated for the possibility of being a novel marker in larger populations.

Platelets and endothelial dysfunction in gestational diabetes mellitus

The prevalence of gestational diabetes mellitus (GDM) has increased in recent years, along with the higher prevalence of obesity in women of reproductive age. GDM is a pathology associated with vascular dysfunction in the fetoplacental unit. GDM-associated endothelial dysfunction alters the transfer of nutrients to the foetus affecting newborns and pregnant women. Various mechanisms for this vascular dysfunction have been proposed, of which the most studied are metabolic alterations of the vascular endothelium. However, different cell types are involved in GDM-associated endothelial dysfunction, including platelets. Platelets are small, enucleated cell fragments that actively take part in blood haemostasis and thrombus formation. Thus, they play crucial roles in pathologies coursing with endothelial dysfunction, such as atherosclerosis, cardiovascular diseases, and diabetes mellitus. Nevertheless, platelet function in GDM is understudied. Several reports show a potential relationship between platelet volume and mass with GDM; however, platelet roles and signaling mechanisms in GDM-associated endothelial dysfunction are unclear. This review summarizes the reported findings and proposes a link among altered amount, volume, mass, reactivity, and function of platelets and placenta development, resulting in fetoplacental vascular dysfunction in GDM.

Are serum delta neutrophil index and other inflammatory marker levels different in hyperemesis gravidarum?

AIM

Hyperemesis gravidarum (HEG) is a condition characterized by nausea and vomiting, fluid electrolyte and acid-base imbalance, dehydration, weight loss, and ketonuria in early pregnancy. The relationship of HEG with inflammation has been studied in many studies. This study aimed to investigate the role of serum delta neutrophil index (DNI), a new inflammatory marker, and other inflammatory markers in demonstrating the disease's presence and severity in HEG patients.

MATERIAL AND METHOD

This retrospective study was conducted by accessing the electronic data of 79 pregnant women diagnosed with HEG in a tertiary center between 2017 and 2022 and 100 healthy pregnant women. The demographic characteristics of the study and control groups, as well as the hematological parameters in the complete blood count and the levels of inflammatory markers, were recorded.

RESULTS

There was no significant difference between the groups regarding hematological parameters, DNI, platelet-lymphocyte ratio, monocyte-lymphocyte ratio, and systemic inflammation index (p > 0.05). Neutrophil count and neutrophil-lymphocyte ratio (NLR) were higher in the HEG group compared to the control group (p < 0.05).

CONCLUSION

This is the first study to determine the relationship between HEG and serum DNI, a new inflammatory marker. We found that serum DNI values in HEG patients were not different from normal pregnancies and did not reflect the presence and severity of the disease. We also found that inflammatory markers other than the NLR were not different from normal pregnancies in HEG patients.

Impact of inflammatory factors, hemoglobin A1c, and platelet parameters in gestational diabetes mellitus

PURPOSE

The aim of this study was to evaluate the relationship among inflammatory cytokines including hypersensitive C-reactive protein (hs-CRP) and interleukin-6 (IL-6), glycated hemoglobin A1c (HbA1c), and platelet distribution width (PDW) in women with gestational diabetes mellitus (GDM).

METHODS

Data on 191 pregnant women (96 women with GDM; 95 healthy controls) were extracted from routine prenatal examination records in Nanjing, China. Fasting concentrations of hs-CRP, IL-6, HbA1c, blood cell indices, and glucose at 24-28th gestational weeks were determined.

RESULTS

The levels of hs-CRP, IL-6, FPG, PG1h, PG2h, HbA1c, RBC, and PDW significantly were increased (P < 0.05) in GDM group. hs-CRP had a positive correlation with HbA1c and PLT (P < 0.05). The odds ratios of HbA1c and PDW were 7.817 (95% CI 1.921-31.816, P = 0.004) and 1.523 (95% CI 1.158-2.002, P = 0.003), respectively. Furthermore, AUC of the combined diagnosis of GDM including HbA1c, FPG, and PDW reached 0.754, with specificity of 80.0% and sensitivity of 60.4%.

CONCLUSION

Our findings support that elevated levels of hs-CRP, IL-6, HbA1c, and PDW at 24-28th gestational weeks even within the conventional normal range, may be implicated in the pathogenesis of GDM and their evaluation should be part of prenatal care routine.

Exosome Proteomics Reveals the Deregulation of Coagulation, Complement and Lipid Metabolism Proteins in Gestational Diabetes Mellitus

Exosomes are small extracellular vesicles with a variable protein cargo in consonance with cell origin and pathophysiological conditions. Gestational diabetes mellitus (GDM) is characterized by different levels of chronic low-grade inflammation and vascular dysfunction; however, there are few data characterizing the serum exosomal protein cargo of GDM patients and associated signaling pathways. Eighteen pregnant women were enrolled in the study: 8 controls (CG) and 10 patients with GDM. Blood samples were collected from patients, for exosomes’ concentration. Protein abundance alterations were demonstrated by relative mass spectrometric analysis and their association with clinical parameters in GDM patients was performed using Pearson’s correlation analysis. The proteomics analysis revealed 78 significantly altered proteins when comparing GDM to CG, related to complement and coagulation cascades, platelet activation, prothrombotic factors and cholesterol metabolism. Down-regulation of Complement C3 (C3), Complement C5 (C5), C4-B (C4B), C4b-binding protein beta chain (C4BPB) and C4b-binding protein alpha chain (C4BPA), and up-regulation of C7, C9 and F12 were found in GDM. Our data indicated significant correlations between factors involved in the pathogenesis of GDM and clinical parameters that may improve the understanding of GDM pathophysiology. Data are available via ProteomeXchange with identifier PXD035673.

The diagnostic model for early detection of gestational diabetes mellitus and gestational diabetic nephropathy

BACKGROUND

Gestational diabetes mellitus (GDM) and gestational diabetic nephropathy (GDN) have become an increasingly serious problem worldwide, which can cause a large number of adverse pregnancy consequences for mothers and infants. However, the diagnosis of GDM and GDN remains a challenge due to the lack of optimal biomarkers, and the examination has high requirements for patient compliance. We aimed to establish a simple early diagnostic model for GDM and GDN.

METHODS

We recruited 50 healthy pregnant (HP), 99 GDM patients, 99 GDN patients at Daping Hospital. Renal function indicators and blood cell indicators were collected for all patients.

RESULTS

Compared with HP, GDM, and GDN patients exhibited significantly higher urea/creatinine ratio and NEU. The diagnostic model1 based on the combination of urea/creatinine ratio and NEU was built using logistic regression. Based on receiver operating characteristic curve analysis, the area under the curve (AUC) of the diagnostic model was 0.77 (0.7, 0.84) in distinguishing GDM from HP, and the AUC of the diagnostic model was 0.94 (0.9, 0.97) in distinguishing GDN from HP. Meanwhile, the diagnostic model2 based on the combination of β2-mG, PLT, and NEU in GDM and GDN patients was built using logistic regression, and the area under the ROC curve (AUC ROC) was 0.79 (0.73, 0.85), which was larger than the individual biomarker AUC.

CONCLUSION

Our study demonstrated that the diagnostic model established by the combination of renal function indicators and blood cell indicators could facilitate the differential diagnosis of GDM and GDN patients.

New Hematological Parameters as Inflammatory Biomarkers: Systemic Immune Inflammation Index, Platerethritis, and Platelet Distribution Width in Patients with Adult Attention Deficit Hyperactivity Disorder

OBJECTIVES

The potential role of neuroinflammation in adult attention deficit hyperactivity disorder (ADHD) patients has been investigated with peripheral hemogram-related inflammatory markers. Systemic immune inflammation index (SII) is defined as a new index that has been developed for the balance of inflammatory and immune status.

METHODS

Our study was based on a prospective routine complete blood count(CBC) analysis of 74 Adult ADHD patients and 70 healthy participants. The DSM-5-Clinician version and Barratt impulsivity scale-11 were used to evaluate the participants.

RESULTS

There was no statistical difference in the comparison of the SII ratios, platelet distribution width (PDW), and plateretritis (PCT) (p>0.05 for each) in a group of a young adults with ADHD and in a comparison control group. These inflammatory indicators were found to be similar between patients newly diagnosed with ADHD (n=40) and patients using methylphenidate (n=34) (p>0.05 for each). The relationship between ADHD clinical symptoms and severity and inflammation was evaluated. A significant negative correlation was observed between attention deficit scores and PCT (r=-0.301, p=0.009). A positive significant correlation was found between hyperactivity scores and SII (r=0.247, p=0.034). A significant positive correlation was found between Barrat motor scores and PDW(r=241, p=0.038). In the regression analysis, the PCT variable changed the attention deficit variable (β=.33, t(70)= -2.703, p=.009, pr ²= .094) predicted negatively and significantly.

CONCLUSIONS

We demonstrated the association of SII, which is independently associated with adverse outcomes in many diseases, and the severity of hyperactivity symptoms in adult ADHD. The fact that PCT predicts attention deficit negatively and decisively shows the importance of inflammatory assessments specific to clinical presentations. The critical importance of platelets in inflammatory processes in ADHD has been demonstrated once again with inflammatory markers such as SII, PLT, and PDW, which can be accessed by an easily applicable complete blood count method.

Early markers of gestational diabetes mellitus: what we know and which way forward?

Women's metabolism during pregnancy undergoes numerous changes that can lead to gestational diabetes mellitus (GDM). The cause and pathogenesis of GDM, a heterogeneous disease, are not completely clear, but GDM is increasing in prevalence and is associated with the modern lifestyle. Most diagnoses of GDM are made via the guidelines from the International Association of Diabetes and Pregnancy Study Groups (IADSPG), which involve an oral glucose tolerance test (OGTT) between 24 and 28 weeks of pregnancy. Diagnosis in this stage of pregnancy can lead to short- and long-term implications for the mother and child. Therefore, there is an urgent need for earlier GDM markers in order to enable prevention and earlier treatment. Routine GDM biomarkers (plasma glucose, insulin, C-peptide, homeostatic model assessment of insulin resistance, and sex hormone-binding globulin) can differentiate between healthy pregnant women and those with GDM but are not suitable for early GDM diagnosis. In this article, we present an overview of the potential early biomarkers for GDM that have been investigated recently. We also present our view of future developments in the laboratory diagnosis of GDM.

Association of platelet count and plateletcrit with nerve conduction function and peripheral neuropathy in patients with type 2 diabetes mellitus

AIMS/INTRODUCTION

Diabetes has been considered as a 'pro-thrombotic state' with enhanced platelet reactivity. Abnormality in platelet aggregation has been found in patients with its most common chronic complication - diabetic peripheral neuropathy (DPN). The purpose of this study was to investigate the potential association of platelet indices with nerve conduction function and the presence of DPN in Chinese patients with type 2 diabetes mellitus.

MATERIALS AND METHODS

This study involved a total of 211 inpatients with type 2 diabetes mellitus and 55 healthy individuals for whom nerve conduction studies were carried out. DPN was diagnosed according to the American Diabetes Association recommendation. Clinical data were retrospectively collected.

RESULTS

Patients with diabetes in whom neuropathy developed had lower levels of platelet count (PLT) and plateletcrit (PCT) than healthy controls (P < 0.05). Statistically significant associations of low PLT and PCT levels with the reduction of summed amplitude/velocity Z-score, and the prolongation of F-wave minimum latency in nerve conduction studies were found. Furthermore, after multivariate adjustment, logistic regression analysis showed that low levels of PLT (odds ratio 2.268, 95% confidence interval 1.072-4.797; P < 0.05; PLT <226 vs PLT ≥226) and PCT (odds ratio 2.050, 95% confidence interval 1.001-4.201; P < 0.05; PCT <0.222 vs PCT ≥0.222) in type 2 diabetes mellitus patients were risk factors for the presence of DPN.

CONCLUSIONS

Lower PLT and PCT levels are closely associated with poorer peripheral nerve conduction functions and the presence of neuropathy in patients with type 2 diabetes mellitus, which suggests that PLT and PCT might be potential biomarkers for showing DPN.

Neutrophil-lymphocyte ratio for the prediction of histological chorioamnionitis in cases of preterm premature rupture of membranes: a case-control study

Background

The neutrophil-lymphocyte ratio (NLR) is easily calculated blood test parameter, which can be used as marker to predict many inflammatory disorders. The aim of this study was to assess and compare the NLR in maternal blood with the white blood cell (WBC) count and C-reactive protein (CRP) concentration for the prediction of histological chorioamnionitis.

Methods

This was a case-control study of 137 woman with preterm premature rupture of membranes (PPROM) at a gestational age between 22^+ 0 and 34^+ 6 weeks. Blood samples, collected less than 48 h before delivery and at least 48 h after the administration of corticosteroids, were selected for the analysis. The NLR was calculated by dividing the number of neutrophils by the number of lymphocytes. Chorioamnionitis was diagnosed by the histopathological evaluation of placental membranes and chorionic plate.

Results

Patients with diagnosed histological chorioamnionitis (HCA) had significantly higher levels of WBC, CRP and NLR (p-value < 0.001). Levels of WBC, CRP and NLR predicted HCA with an area under the curve (AUC) of 0.81, 0.81 and 0.89, respectively. NLR had statistically significantly higher AUC than WBC, but no significant difference was found between AUCs of NLR and CRP. The cut-off level of NLR was found to be 5,97, which had a sensitivity of 77 % and a specificity of 95 %.

Conclusion

NLR has a good predictive value for HCA and could be used as an additional diagnostic marker for predicting histological chorioamnionitis in cases with preterm premature rupture of membranes before 34 weeks of gestation.

Do patients with a single abnormal OGTT value need a globally admitted definition such as "borderline GDM"? Pregnancy outcomes of these women and the evaluation of new inflammatory markers

INTRODUCTION

One of the approaches to diagnose Gestational Diabetes Mellitus (GDM) is to detect two or more elevated values in 3-h Glucose Tolerance Test (OGTT) after an abnormal 50 gr Glucose Challenge Test (GCT). Patients with single elevated OGTT generally postulated as healthy; however, these patients could experience adverse perinatal and maternal issues more frequently. We aimed to investigate the maternal and neonatal outcomes of women with single abnormal OGTT primarily by comparing these women with healthy controls and GDM patients. Secondarily; Mean Platelet Volume (MPV), Platelet Distribution Width (PDW), Neutrophil to Lymphocyte Ratio (NLR) and Platelet to Lymphocyte Ratio (PLR) which were defined as novel inflammatory markers recently, were evaluated among these women within the first trimester and before delivery values whether these markers could use as a predictive marker of GDM.

MATERIALS AND METHODS

A retrospective cohort study was achieved in Bursa Yuksek Ihtisas Education and Training Hospital between January 2016 and April 2020. Patients who had GCT and OGTT at 24th-28th weeks of gestation were reviewed. Patients with GDM, women with single elevated OGTT value, and women with normal OCT values were recruited at the study as groups 1, 2, and 3 respectively. Maternal-neonatal outcomes and postpartum complications were reviewed from hospital registry system. Each complication were accumulated in a group entitled peripartum complication (a patient who had more than 1 complication for example preeclampsia and acute fetal distress was added in the peripartum complication group as one patient).The novel inflammatory markers were evaluated as NLR and PLR, and thrombocyte parameters as MPV and PDW were compared within the groups, and between the groups individually in the time period of first trimester and before delivery.

RESULTS

A total of 10,579 patients were screened with OCT, of these a total of 1718 patients' results were between 140 mg/dl and 199 mg/dl. The numbers of the women who diagnosed GDM and who had single elevated OGTT were 508 and 469 respectively. Numbers of the patients who gave birth in our hospital and whose data were reviewed adequately were 464 in groups 1, 406 in group 2, and 768 in group 3.Patients with single elevated OGTT had increased rates of peripartum complication, acute fetal distress (AFD), IUGR, preterm delivery, cesarean delivery rate, macrosomia, labor arrest, blood component transfusion, post-partum complication and stillbirth than healthy controls. Statistical analysis of comparison between group 2 and 3 has revealed that; patients with single elevated OGTT had more peripartum complication (p = .032; odds ratio [OR] = 1.2, 95% CI: 1.02-1.54), had more babies with macrosomia (p < .001; [OR] = 1.7, 95% CI: 1.2-2.4), had more postpartum complication (p = .040; [OR] = 3, 95% CI: 0.997-9.1), and had higher cesarean rates (p < .001; [OR] = 1.29, 95% CI: 1.1-1.4).Evaluating the first trimester CBC parameters between groups; only PLR differed statistically significant in GDM patients. These parameters before delivery were also analyzed PLR and NLR values did not differ between all groups, on the other hand; MPV values were higher and PDW values were lower in healthy controls comparing GDM and single elevated OGTT group.

CONCLUSION

Patients with single elevated OGTT had a higher risk of maternal and neonatal consequences than women with normal OCT, which was comparable levels to patients with GDM. These patients should not be underestimated and could be classified as an individual diagnose such as "Borderline GDM." To intervene in these patients with dietary advice and lifestyle changes like exercise could decrease neonatal and maternal adverse outcomes.

Association Between Neutrophil-Lymphocyte Ratio and Gestational Diabetes-A Systematic Review and Meta-Analysis

A growing body of evidence shows that the neutrophil-lymphocyte ratio (NLR) is a surrogate index of systemic inflammation in several chronic diseases. Conflicting associations between NLR and gestational diabetes mellitus (GDM) have been reported in individual studies. This meta-analysis sought to investigate the association between NLR and GDM. The PubMed, EMBASE, and Google Scholar databases were searched to identify relevant articles. The pooled standardized mean difference with 95% CI was calculated using a random-effects model. Subgroup and meta-regression analysis were carried out to control for the effects of GDM diagnostic criteria, ethnicity, body mass index (BMI), and age. Eleven eligible articles were included, containing 1271 participants with GDM and 1504 controls. Pooled outcomes indicated a higher NLR in GDM pregnancies than in normoglycemic controls (SMD = 0.584; 95% CI, 0.339-0.830; P < .001), although extensive heterogeneity between studies was noted. Subgroup analysis revealed that the higher pooled estimate in GDM was not affected by diagnostic criteria, ethnicity, or BMI, although matching for BMI reduced heterogeneity between studies. This meta-analysis supports the higher NLR in GDM described by some individual studies.

Gestational diabetes mellitus and inflammatory biomarkers of neutrophil-lymphocyte ratio and platelet-lymphocyte ratio: a systematic review and meta-analysis

PURPOSE

To evaluate the association between two inflammatory biomarkers of neutrophil -lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) with gestational diabetes mellitus (GDM).

METHODS AND MATERIALS

Systematic search was performed up to June 2020 in databases such as PubMed, Embase, Scopus, Web of Science, and Google scholar. The random-effects model was utilised to combine the weighted mean differences (WMDs) and their 95% confidence intervals (CIs).

RESULTS

Out of a total of 849 articles, sixteen studies were eligible. Our findings indicated higher NLR (WMD = 0.48, 95% CI: 0.25, 0.71) and PLR (WMD = 8.22, 95% CI: -0.50, 16.94) values in pregnancies diagnosed with GDM compared with non-GDM control pregnancies. However, the difference in PLR value did not reach a statistically significant level (Z = 1.85, p = 0.065). In meta-regression analysis, we found no significant influence of total sample size [for NLR (B= -0.0, p = 0.13), for PLR (B= -0.02, p = 0.55)] and publication year [for NLR (B= -0.02, p = 0.61), for PLR (B = 0.89, p = 0.75)] on association between NLR and PLR with GDM.

CONCLUSION

The current meta-analysis is the first, to our knowledge, to show that NLR value is significantly associated with GDM. However, PLR showed no significant association with GDM.

The relationship between inflammation markers and ketonuria in hyperemesis gravidarum

OBJECTIVE

Hyperemesis gravidarum is an illness that starts in early pregnancy and manifests itself with oral intake problems, electrolyte imbalance, ketonuria, and weight loss. Inflammation is closely associated with the hyperemesis gravidarum, and inflammatory indicators have been studied to understand its pathophysiology. This study investigates the relationship of ketonuria levels with inflammatory markers platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and neutrophil-to-lymphocyte ratio (NLR) for hyperemesis gravidarum patients.

MATERIAL AND METHODS

This retrospective case control study was conducted at Kütahya Medical Sciences University Tertiary Research and Training Hospital between December 2019 and December 2020. A total of 173 pregnancies, 82 of them with hyperemesis gravidarum and 91 of them low-risk pregnancies were included in the study. The patients' demographic profiles and laboratory parameters were recorded. The patients were divided into hyperemesis gravidarum and control groups and the groups were compared for the levels of inflammation markers. For the hyperemesis gravidarum group, the relationship between ketonuria levels and the inflammation severity was investigated.

RESULTS

MLR, NLR, PLR levels were higher in the hyperemesis gravidarum group than the control group in a statistically significant way (p < 0.001 for all of the comparisons). The hyperemesis gravidarum group was subdivided into four groups based on their ketonuria levels, and their MLR, NLR, PLR levels were compared. The differences between the groups were statistically significant (p < 0.001) and the indicators increased with the ketonuria levels. Finally, ketonuria levels had a positive and significant correlation with MLR (rho =0.67, p < 0.001), PLR (rho =0.67, p < 0.001), and NLR (rho =0.8, p < 0.001).

CONCLUSION

Hyperemesis gravidarum patients have higher levels of hematologic inflammation indicators than healthy pregnant patients. For these patients, the levels of the indicators increase with ketonuria levels.

Gestational Diabetes Mellitus and Maternal Immune Dysregulation: What We Know So Far

Gestational diabetes mellitus (GDM) is an obstetric complication that affects approximately 5-10% of all pregnancies worldwide. GDM is defined as any degree of glucose intolerance with onset or first recognition during pregnancy, and is characterized by exaggerated insulin resistance, a condition which is already pronounced in healthy pregnancies. Maternal hyperglycaemia ensues, instigating a 'glucose stress' response and concurrent systemic inflammation. Previous findings have proposed that both placental and visceral adipose tissue play a part in instigating and mediating this low-grade inflammatory response which involves altered infiltration, differentiation and activation of maternal innate and adaptive immune cells. The resulting maternal immune dysregulation is responsible for exacerbation of the condition and a further reduction in maternal insulin sensitivity. GDM pathology results in maternal and foetal adverse outcomes such as increased susceptibility to diabetes mellitus development and foetal neurological conditions. A clearer understanding of how these pathways originate and evolve will improve therapeutic targeting. In this review, we will explore the existing findings describing maternal immunological adaption in GDM in an attempt to highlight our current understanding of GDM-mediated immune dysregulation and identify areas where further research is required.

The effect of smoking on chronic inflammation, immune function and blood cell composition

Smoking is the number one risk factor for cancer mortality but only 15-20% of heavy smokers develop lung cancer. It would, therefore, be of great benefit to identify those at high risk early on so that preventative measures can be initiated. To investigate this, we evaluated the effects of smoking on inflammatory markers, innate and adaptive immune responses to bacterial and viral challenges and blood cell composition. We found that plasma samples from 30 heavy smokers (16 men and 14 women) had significantly higher CRP, fibrinogen, IL-6 and CEA levels than 36 non-smoking controls. Whole blood samples from smokers, incubated for 7 h at 37 °C in the absence of any exogenous stimuli, secreted significantly higher levels of IL-8 and a number of other cytokines/chemokines than non-smokers. When challenged for 7 h with E. coli, whole blood samples from smokers secreted significantly lower levels of many inflammatory cytokines/chemokines. However, when stimulated with HSV-1, significantly higher levels of both PGE₂ and many cytokines/chemokines were secreted from smokers' blood samples than from controls. In terms of blood cell composition, red blood cells, hematocrits, hemoglobin levels, MCV, MCH, MCHC, Pct and RDW levels were all elevated in smokers, in keeping with their compromised lung capacity. As well, total leukocytes were significantly higher, driven by increases in granulocytes and monocytes. In addition, smokers had lower NK cells and higher Tregs than controls, suggesting that smoking may reduce the ability to kill nascent tumor cells. Importantly, there was substantial person-to person variation amongst smokers with some showing markedly different values from controls and others showing normal levels of many parameters measured, indicating the former may be at significantly higher risk of developing lung cancer.

Platelet indices as a predictive marker in neonatal sepsis and respiratory distress in preterm prelabor rupture of membranes

Preterm Prelabor rupture of membranes (PPROM) accompanies 2-3% of all pregnancies and 1/3rd of all preterm deliveries leading to intraamniotic infection, postpartum infections, sepsis along with perinatal morbidity and mortality worldwide. Early diagnosis and treatment can prevent the complications of PPROM and improve mother and child health. The platelet indices (platelet count, Mean platelet volume, Plateletcrit and Immature platelet fraction) could be a useful predictive parameters in PPROM, as platelets are acute phase reactants and there parameters may vary with inflammation and increased platelet consumption/production. In the present study, Mean Platelet volume (MPV) levels showed significant increase in cases as compared to controls (10.47 ± 1.92 fl Vs 8.84 ± 1.30 fl; P < 0.004). Plateletcrit (PCT) levels were also significantly increased in cases with respect to controls (0.22 ± 0.10% Vs 0.18 ± 0.05%; P = 0.004). Immature platelet fraction (IPF) is significantly increased in cases than in control subjects (8.73 ± 6.67% Vs 4.43 ± 1.75%; P < 0.001). Also, Mean Platelet volume (MPV) levels were found to be significantly higher in subjects whose neonate had developed sepsis(11.39 ± 1.69 fl Vs 8.91 ± 1.31 fl; P < 0.001) and respiratory distress (10.62 ± 2.09 fl Vs 9.26 ± 1.56 fl; P = 0.003). Similarly, PCT was significantly higher in groups with positive neonatal sepsis (0.32 ± 0.74% Vs 0.19 ± 0.65%; P = 0.010) and with respiratory distress (0.24 ± 0.78% Vs 0.18 ± 0.59%; P < 0.001). Levels of IPF were also increased in positive neonatal sepsis group (10.11 ± 6.27% Vs 5.06 ± 4.07%; P < 0.001) and respiratory distress group (9.11 ± 6.38% Vs 5.54 ± 4.43%; P = 0.009). The findings suggest that maternal platelet parameters (MPV, PCT and IPF) can be utilized as evidence of early predictors of development of neonatal sepsis and respiratory distress and may be considered as a predictive markers for adverse neonatal outcome.

Relationship of the neutrophil/lymphocyte ratio with cardiovascular risk markers in premenopausal and postmenopausal women

Introduction

Cardiovascular disease is more frequent in postmenopausal women. Atherosclerosis is associated with inflammation and the neutrophil/lymphocyte ratio (NLR) is a marker of inflammation whose behavior in postmenopause is unknown.

Aim of the study

To know the relationship of the NLR with cardiovascular risk markers in premenopausal and postmenopausal women.

Material and methods

Premenopausal and postmenopausal women were studied, in all of them a complete hemogram and the NLR, platelet/lymphocyte ratio (PLR) were calculated, also glucose and lipids levels were measured. In all of them subcutaneous and visceral fat, carotid intima-media thickness (IMT), epicardial fat were measured by ultrasound Also baseline and and after flow-mediated stimulus the arterial diameter, the pulsatility index and the resistive index of the brachial artery were measured by ultrasound. The results are reported with medians and intervals, Mann-Whitney U and Spearman correlation analysis were performed.

Results

Eighty two patients were recruited, 41 premenopausal and 41 postmenopausal. When comparing both groups there was no difference in glucose, lipids, NLR, PLR, carotid IMT, epicardial fat, subcutaneous fat, visceral fat or Doppler parameters of the brachial artery.

Conclusion

NLR was not different between premenopausal and postmenopausal women but abnormal PLR was greater in those postmenopausal with vasomotor symptoms.

Is there an association between platelet and blood inflammatory indices and the risk of gestational diabetes mellitus?

Objective

Gestational diabetes mellitus (GDM) is the most prevalent medical complication in pregnancy. Early diagnosis of GDM can influence maternal/neonatal outcomes. To assess the association between platelet and blood inflammatory indices and the risk of GDM occurrence using the complete blood count (CBC) test. We also aimed to determine the sensitivity of each parameter for an early screening of this disorder during pregnancy.

Methods

This case-control study included 2 groups of 110 pregnant women with and without GDM. The women in each group were compared after the routine screening for GDM and after the CBC test at 24–28 weeks' gestation after being matched according to the inclusion criteria. Data were analyzed using SPSS version 16 and Medcalc version 14.8.1 software.

Results

There were statistically significant intergroup differences in white blood cell (WBC) count, platelet count, mean platelet volume (MPV), plateletcrit (PCT), MPV to platelet ratio, platelet to lymphocyte ratio, and Rh values. The values of lymphocyte count, neutrophil count, neutrophil to lymphocyte ratio, and blood group were not significantly different between groups. The logistic regression analysis showed the predictive values of WBC, platelet, MPV, and PCT in GDM. According to the receiver operating characteristic curve for all 3 variables, the level below the PCT chart was more than that of the others.

Conclusion

Increasing platelet and inflammatory indices on the CBC test in the second trimester of pregnancy seemed to be associated with the probability of GDM occurrence.

The variation degree of coagulation function is not responsible for extra risk of hemorrhage in gestational diabetes mellitus

BACKGROUND

Gestational diabetes mellitus (GDM) is characterized as glucose intolerance of any degree that begins or first diagnosed during pregnancy. It possesses a higher risk of haemorrhage, which may be caused by the coagulation dysfunction. However, there has been no study focus on how coagulation state changes in the progress of GDM pregnancy. Our study is aimed to assess the association of coagulation function and haemorrhage in GDM.

METHODS

A total of 662 subjects (273 from a population-based study and 389 from a prospective cohort study) were selected to measure mean platelet volume (MPV), platelet distribution width (PDW), platelet (PLT), thrombocytocrit (PCT), prothrombin time (PT), activated partial thromboplastin time (APTT), thrombin time (TT), and fibrinogen (FIB). All pregnant individuals were divided into normal glucose tolerance (NGT) controls and GDM patients diagnosed between the 24th and 28th weeks of gestation.

RESULTS

Compared with NGT controls, GDM females showed shortened PT, shortened APTT, and increased blood FIB levels, while the platelet parameters MPV, PDW, PLT, and PCT remained unchanged in mid-pregnancy. By late pregnancy, the platelet parameters MPV, PDW, and PCT were increased in the GDM group compared with the NGT group, while PT and APTT were unchanged.

CONCLUSIONS

The GDM group was hypercoagulable compared with the NGT group rather than hypocoagulable as predicted, but still within the normal range. Therefore, our findings demonstrate that the variation degree of coagulation function is not responsible for extra risk of hemorrhage in GDM, and prevention of hemorrhage should focus on other causes.

How do platelet-to-lymphocyte ratio and neutrophil-to-lymphocyte ratio change in women with preterm premature rupture of membranes, and threaten preterm labour?

The aim of the study was to investigate peripheral blood platelets, neutrophils and lymphocytes counts in women with preterm premature rupture of membranes (PPROM) and threatened preterm labour (TPL) compared with gestation-matched controls in order to learn how they change. This study was conducted on 60 women with PPROM, 50 women with TPL and 47 healthy pregnant women. Laboratory parameters (including complete blood count, C-reactive protein (CRP)) of all the participants were recorded. The neutrophil-to-lymphocyte ratio (NLR) values were significantly higher in PPROM group than TPL group and healthy control group (6.1 ± 3.9, 4.4 ± 1.7, 4.4 ± 2.2, p = .007, p = .018, respectively). At a cut-off level of 5.14, NLR accurately predicted occurrence of neonatal sepsis (AUC =  0.717 (95% confidence interval 0.610-0.824), p = .001) with sensitivity and specificity rates of 69.7% and 72.0%, respectively. In the management of the patients with PPROM, NLR can be used as a more cost-effective method than other blood parameters that require the use of a kit.IMPACT STATEMENTWhat is already known on this subject? There is only one study in the literature evaluating blood count parameters (such as platelet-to-lymphocyte ratio (PLR), NLR) in PPROM pregnancies. That study demonstrated PLR and NLR were both higher in the PPROM group.What do the results of this study add? The present study demonstrates that only NLR is higher in the PPROM group. Furthermore, we have also demonstrated distinctively that NLR can predict occurrence of neonatal sepsis.What are the implications of these findings for clinical practice and/or further research? High values of NLR may be useful for predicting adverse outcomes in PPROM and TPL patients as a cost-effective method. Further studies are needed to determine whether these parameters can be used to predict if a pregnant woman who is at risk of preterm labour will result in adverse perinatal outcome.

A simple model to predict risk of gestational diabetes mellitus from 8 to 20 weeks of gestation in Chinese women

Background

Gestational diabetes mellitus (GDM) is associated with adverse perinatal outcomes. Screening for GDM and applying adequate interventions may reduce the risk of adverse outcomes. However, the diagnosis of GDM depends largely on tests performed in late second trimester. The aim of the present study was to bulid a simple model to predict GDM in early pregnancy in Chinese women using biochemical markers and machine learning algorithm.

Methods

Data on a total of 4771 pregnant women in early gestation were used to fit the GDM risk-prediction model. Predictive maternal factors were selected through Bayesian adaptive sampling. Selected maternal factors were incorporated into a multivariate Bayesian logistic regression using Markov Chain Monte Carlo simulation. The area under receiver operating characteristic curve (AUC) was used to assess discrimination.

Results

The prevalence of GDM was 12.8%. From 8th to 20th week of gestation fasting plasma glucose (FPG) levels decreased slightly and triglyceride (TG) levels increased slightly. These levels were correlated with those of other lipid metabolites. The risk of GDM could be predicted with maternal age, prepregnancy body mass index (BMI), FPG and TG with a predictive accuracy of 0.64 and an AUC of 0.766 (95% CI 0.731, 0.801).

Conclusions

This GDM prediction model is simple and potentially applicable in Chinese women. Further validation is necessary.

Electronic supplementary material

The online version of this article (10.1186/s12884-019-2374-8) contains supplementary material, which is available to authorized users.

Coagulation tests and blood glucose before vaginal delivery in healthy teenage pregnant women compared with healthy adult pregnant women

The aim of this study was to compare the coagulation tests and blood glucose levels between healthy teenage pregnant patients and healthy adult pregnant patients just before vaginal deliveryIn a prospective study, 208 consecutive patients, 3rd trimester healthy pregnant women, underwent blood tests to determine their glucose levels the day before vaginal delivery. Of the 208 patients, 103 also underwent blood coagulation testing performed on the same day.The median values of the coagulation tests (APTT, prothrombin time, INR, prothrombin activity) and blood glucose were very similar in the healthy pregnant teenagers (32.6; 12.9; 1.02; 97.1; 81) compared with that in the healthy adult pregnant patients (32.45; 13.1; 1.01; 97.5; 81.2). Only the median value for fibrinogen was significantly different in healthy pregnant teenagers (348.9 mg/dL) (interquartile range 21.7) compared with that in healthy adult pregnant patients (359.1 mg/dL) (interquartile range 29.88).Significantly different median blood glucose levels also occurred in the <20; 20-29; 30-39; >40 age groups, but the glucose levels were still within normal limits.Even if there was variability between blood values from one age group to another, the median values for coagulation tests and blood glucose were very close in the healthy teenage pregnant patients compared with the median values of the healthy adult pregnant patients, just before vaginal delivery. With very few exceptions, the values for coagulation tests and blood glucose were within normal limits in all age groups of healthy pregnant patients.

Mean Platelet Volume and Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis

AIM

To evaluate the association between mean platelet volume (MPV) and gestational diabetes mellitus (GDM).

METHODS

A systematic literature search was performed in PubMed, EMBASE, Web of Science, and The Cochrane Library up to 4 September 2017. Pooled standardized mean differences (SMD) and 95% confidence interval (CI) were calculated using a random-effect model.

RESULTS

Nineteen studies comprising 1361 GDM patients and 1911 normal pregnant women were included. MPV was increased in GDM patients when compared with healthy pregnant women (SMD: 0.79; 95% CI: 0.43-1.16; P < 0.001). Subgroup analyses revealed that such trend was consistent in the third-trimester (SMD: 1.35; 95% CI: 0.72-1.98), Turkish (SMD: 0.81; 95% CI: 0.43-1.19), and Italian (SMD: 2.78; 95% CI: 2.22-3.34) patients with GDM and the patients diagnosed based on Carpenter and Coustan criteria (SMD: 1.04; 95% CI: 0.42-1.65). Significantly higher MPV also were observed within cross-sectional studies (SMD: 0.99; 95% CI: 0.49-1.49). Remarkable between-study heterogeneity and potential publication bias were observed in this meta-analysis; however, sensitivity analysis indicated that the results were not unduly influenced by any single study.

CONCLUSIONS

GDM patients are accompanied by increased MPV, strengthening the clinical evidence that MPV may be a predictive marker for GDM.

Elevation of plateletcrit increasing the risk of non-alcoholic fatty liver disease development in female adults: A large population-based study

BACKGROUND

Non-alcoholic fatty liver disease (NAFLD) is the one of the most common form of chronic liver disease in China, so it is important to apply bio-marker in predict the development of NAFLD.

AIMS

This study aims to evaluate association between plateletcrit (PCT) and non-alcoholic fatty liver disease (NAFLD) in Chinese female adults.

METHODS

NAFLD was defined as per ultrasound in this study and 9737 NAFLD-free female subjects from Wenzhou People's Hospital were followed for five years in average in the study. The determination of NAFLD PCT quartiles (Q1 to Q4) were defined: 0-0.16, 0.17-0.18, 0.19-0.21, ≥0.22. With Q1 used as reference, 95% confidence intervals (CIs) and hazard ratios (HRs) in different models were computed across each quartile.

RESULTS

From Q1 to Q4, the incidence ratios (95% CIs) were 8.30 (7.14-9.47), 11.51 (10.12-12.89), 12.68 (11.47-13.89) and 16.46 (15.03-17.88). Simply considering PCT, in the longitudinal population, values in Q2, Q3 and Q4 had HRs (95% CIs) are 1.51 (1.25-1.84), 1.72 (1.44-2.06) and 2.34 (1.96-2.79) versus Q1. After adjusting for all known confounding variables, values in Q2, Q3 and Q4 had HRs (95% CIs) of 1.31 (1.08-1.60), 1.30 (1.09-1.56) and 1.54 (1.29-1.84) in females compared with Q1.

CONCLUSIONS

We reported that elevated serum PCT levels are considered as an independently significant predictor for NAFLD development in females. The high PCT level contributes to the development of NAFLD.

Platelet-to-lymphocyte ratio: A new inflammatory marker for the diagnosis of preterm premature rupture of membranes

Objective:

Preterm premature rupture of membranes (PPROM) is closely related with maternal and fetal complications. Therefore, early diagnosis is extremely important to provide maternal and fetal well-being. Many inflammatory markers have been evaluated for their ability to diagnose membrane rupture at early stages. We aimed to investigate the relationship between the platelet-to-lymphocyte ratio (PLR) and preterm premature membrane rupture.

Material and Methods:

In this study, 121 pregnant women with PPROM and 96 age-matched pregnant women with spontaneous preterm labor who were admitted to our hospital between January 2014 and December 2015 were enrolled. Demographic data, complete blood cell count results, and neonatal outcomes were recorded.

Results:

The neutrophil and platelet counts were higher in the PPROM group (9948.4±3393.2 vs. 7466.1±1698.5/mm³ and 244.5±60 vs. 210.6±64.8/mm³, respectively, p<0.001). The PLR and neutrophil-to-lymphocyte ratios (NLR) were both significantly higher in the PPROM group (p<0.001). Correlation analysis revealed that the PLR was positively correlated with the NLR (r=0.10, p=0.031). The ability of the PLR to diagnose preterm premature rupture of membranes was evaluated using an ROC curve. The sensitivity and specificity of the PLR was 57.8% and 73.7%, respectively, at a threshold >117.14 (p<0.001).

Conclusion:

The PLR might be a cost effective, easy to use, and practical marker for the early diagnosis of PPROM, which can help to determine the appropriate waiting time for delivery and provide maternal and fetal well-being.

C-reactive protein is differentially modulated by co-existing infections, vitamin deficiencies and maternal factors in pregnant and lactating indigenous Panamanian women

Background

The usefulness of C-reactive protein (CRP) as a non-specific marker of inflammation during pregnancy and lactation is unclear in impoverished populations where co-existing infections and vitamin deficiencies are common.

Methods

This cross-sectional study in Panama recruited 120 pregnant and 99 lactating Ngäbe-Buglé women from 14 communities in rural Panama. Obstetric history, indoor wood smoke exposure, fieldwork, BMI, vitamins A, B₁₂, D, and folic acid, and inflammation markers (CRP, neutrophil/lymphocyte ratio (NLR), plateletcrit and cytokines) were measured. Multiple regressions explored both associations of CRP with other inflammatory markers and associations of CRP and elevated CRP based on trimester-specific cut-offs with maternal factors, infections and vitamin deficiencies.

Results

CRP was higher in pregnancy (51.4 ± 4.7 nmol/L) than lactation (27.8 ± 3.5 nmol/L) and was elevated above trimester specific cut-offs in 21% of pregnant and 30% of lactating women. Vitamin deficiencies were common (vitamin A 29.6%; vitamin D 68.5%; vitamin B₁₂ 68%; folic acid 25.5%) and over 50% of women had two or more concurrent deficiencies as well as multiple infections. Multiple regression models highlighted differences in variables associated with CRP between pregnancy and lactation. In pregnancy, CRP was positively associated with greater indoor wood smoke exposure, caries and hookworm and negatively associated with Ascaris and vaginal Lactobacillus and Bacteroides/Gardnerella scores. Consistent with this, greater wood smoke exposure, caries as well as higher diplococcal infection score increased the odds of trimester-elevated CRP concentrations whereas longer gestational age lowered the likelihood of a trimester-elevated CRP. During lactation, folic acid deficiency was associated with higher CRP whereas parity, number of eosinophils and Mobiluncus score were associated with lower CRP. Also, a higher BMI and Trichomonas vaginalis score increased the likelihood of an elevated CRP whereas higher parity and number of eosinophils were associated with lower likelihood of an elevated CRP.

Conclusions

Infections both raise and lower CRP concentrations in pregnant and lactating mothers. Only folic acid deficiency during lactation was associated with higher CRP concentrations. Caution is required when interpreting CRP concentrations in pregnant and lactating women who have co-existing nutrient deficiencies and multiple infections.

Electronic supplementary material

The online version of this article (doi:10.1186/s40249-017-0307-1) contains supplementary material, which is available to authorized users.

Comparison of thyroid function tests and blood count in pregnant women with versus without gestational diabetes mellitus

AIM

The aim of this study was to compare thyroid function and complete blood count parameters in pregnant women with versus without gestational diabetes mellitus (GDM).

METHODS

A total of 269 pregnant women patients with (n = 110, GDM group) or without (n = 159, non-GDM group) GDM were included in this study. Data on age, rate of cesarean section, birthweight of neonate, hemogram, and thyroid function tests were collected. Multivariate analysis was performed to determine factors predicting increased risk of GDM.

RESULTS

Rate of cesarean section (70.9 vs 57.2%, P = 0.022), median (max-min) age (33.0 [26.0] vs 26.0 [20.0] years, P < 0.001), platelet count (246.7 ± 68.3 vs 227.8 ± 64.2 ×10³ /μL, P = 0.021) and thyroid-stimulating hormone (1.3 [97.6] vs 1.0 [4.1] μIU/mL, P = 0.028) were significantly higher in the GDM than in the non-GDM group; whereas mean platelet volume (10.4 [5.3] vs 10.6 [5.6] fL, P = 0.031) and free triiodothyronine (FT3) (2.9 [3.6] vs 3.1 [3.0] pg/mL, P < 0.001) levels were significantly lower in the GDM than in the non-GDM group. Older age (odds ratio, 1.281; 95% confidence interval, 1.182-1.389, P < 0.001) and lower FT3 levels (odds ratio, 0.295; 95% confidence interval, 0.149-0.586, P < 0.001) were independently associated with increased risk of GDM.

CONCLUSION

Our findings revealed that lower FT3 levels and older age predict the likelihood of developing GDM in euthyroid pregnant women, with no influence of other thyroid hormones or blood counts on the risk of GDM.