Predictive values of combined platelet count, neutrophil-lymphocyte ratio, and platelet-lymphocyte ratio in preeclampsia

Association between neutrophil-to-lymphocyte ratio and epidural-related maternal fever in Chinese parturients: a prospective cohort study

OBJECTIVE

Epidural analgesia could increase the risk of maternal fever during labor, and the potential mechanisms involved inflammation. Neutrophil-to-lymphocyte ratio (NLR) was a sensitive inflammatory composite indicator and related to adverse outcomes in parturients. This study aimed to investigate the association between NLR levels and epidural related maternal fever (ERMF).

METHODS

This prospective cohort study included 614 parturients who underwent epidural analgesia at the Women's Hospital School of Medicine Zhejiang University from November 2021 to May 2023. NLR level was calculated before epidural analgesia for women. The outcome was ERMF. Univariate and multivariate logistic regression models were utilized to explore the association between NLR level and ERMF. And the association was further investigated in subgroups of age, body mass index (BMI) before pregnancy, and parity of delivery. The results were presented as odds ratios (ORs) and 95% confidence intervals (CIs).

RESULTS

Totally, 614 parturients, of whom 171 (27.85%) had ERMF. High NLR level was associated with higher incidence of ERMF (OR = 2.70, 95% CI: 1.58-4.69). Parturients with ERMF had higher proportion of postpartum hemorrhage, longer labor times, and other adverse outcomes in parturients. The association also observed in subgroups of age <35 years old (OR = 2.74, 95% CI: 1.55-4.29), BMI <24 kg/m2 before pregnancy (OR = 2.32, 95% CI: 1.32-4.13), BMI ≥24 kg/m2 before pregnancy (OR = 38.28, 95%CI: 3.67-854.66), primipara (OR = 2.26, 95% CI:1.27-4.04), and multipara (OR = 30.60, 95% CI: 3.73-734.03).

CONCLUSION

High NLR levels were associated with ERMF in women. It indicated that physicians may measure NLR levels as a regular measurement, which may beneficial for pregnancy outcomes.

Complete blood count as a biomarker for preeclampsia with severe features diagnosis: a machine learning approach

OBJECTIVE

This study introduces the complete blood count (CBC), a standard prenatal screening test, as a biomarker for diagnosing preeclampsia with severe features (sPE), employing machine learning models.

METHODS

We used a boosting machine learning model fed with synthetic data generated through a new methodology called DAS (Data Augmentation and Smoothing). Using data from a Brazilian study including 132 pregnant women, we generated 3,552 synthetic samples for model training. To improve interpretability, we also provided a ridge regression model.

RESULTS

Our boosting model obtained an AUROC of 0.90±0.10, sensitivity of 0.95, and specificity of 0.79 to differentiate sPE and non-PE pregnant women, using CBC parameters of neutrophils count, mean corpuscular hemoglobin (MCH), and the aggregate index of systemic inflammation (AISI). In addition, we provided a ridge regression equation using the same three CBC parameters, which is fully interpretable and achieved an AUROC of 0.79±0.10 to differentiate the both groups. Moreover, we also showed that a monocyte count lower than 490 / m m 3 yielded a sensitivity of 0.71 and specificity of 0.72.

CONCLUSION

Our study showed that ML-powered CBC could be used as a biomarker for sPE diagnosis support. In addition, we showed that a low monocyte count alone could be an indicator of sPE.

SIGNIFICANCE

Although preeclampsia has been extensively studied, no laboratory biomarker with favorable cost-effectiveness has been proposed. Using artificial intelligence, we proposed to use the CBC, a low-cost, fast, and well-spread blood test, as a biomarker for sPE.

Predictive value of the HALP score for pre-eclampsia with severe features

INTRODUCTION

Predictive tests are needed to ensure the development and subsequent follow-up of pre-eclampsia, which is responsible for significant rates of morbidity and mortality during pregnancy. This study aimed to evaluate the predictive value of the Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) score for the severity of preeclampsia.

METHODS

We retrospectively analyzed the data of women diagnosed with pre-eclampsia at our clinic from January 2019 to January 2023. The control group consisted of normotensive, healthy pregnant women. Women diagnosed with preeclampsia were further evaluated in two groups: those with severe features and those without severe features. The clinical and demographic data of the cases were evaluated. The HALP score was calculated using the first trimester blood parameters of the cases and compared between groups.

RESULTS

The study included 229 patients with preeclampsia and 142 normotensive healthy controls. Of the patients with preeclampsia, 104 (28.1%) had severe features of the disease. The HALP score was significantly higher in the preeclampsia group with severe features than in the control group (6.18 ± 2.66 vs. 3.75 ± 1.86; p = 0.006). In multivariate logistic regression analysis, the HALP score (odds ratio: 2.02, 95% confidence interval: 1.10-3.32, p = 0.017) was found to be an independent indicator for preeclampsia with severe features. A HALP score of > 4.61 predicted the development of preeclampsia with severe features with a sensitivity of 74.5% and a specificity of 81.3%.

CONCLUSION

We found a significant correlation between the HALP score and preeclampsia with severe features. The HALP score may be useful in predicting the severity of preeclampsia.

Postpartum Depression and Inflammatory Biomarkers of Neutrophil-Lymphocyte Ratio, Platelet-Lymphocyte Ratio, and Monocyte-Lymphocyte Ratio: A Prospective Observational Study

OBJECTIVES

Postpartum depression (PPD) is a severe mental health disorder affecting a significant proportion of mothers, often undiagnosed and untreated, with potential long-term effects. While numerous studies have identified risk factors for PPD, the relationship between inflammatory markers and PPD remains unknown. This study aimed to investigate the potential correlation between indirect inflammatory markers, specifically neutrophil-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-lymphocyte ratio (MLR), and the risk of developing PPD, assessed by the Edinburgh Postnatal Depression Scale (EPDS).

DESIGN

This was a prospective observational study conducted in a second-level university hospital, from December 2019 to February 2021.

PARTICIPANTS

A total of 211 full-term pregnant women were enrolled. Exclusion criteria included specific psychiatric diagnoses, such as severe intellectual disability, schizophrenia, schizoaffective disorder, delusional disorder, bipolar or other unspecified psychotic spectrum disorders. Additionally, pregnancies affected by gestational and pregestational diabetes, chronic hypertension, gestational hypertension, preeclampsia/eclampsia, intrauterine fetal growth restriction, preterm delivery, multiple pregnancies, and fetal abnormalities detected prenatally were excluded.

METHODS

Socio-demographic and clinical data were recorded. Blood samples for complete blood count were obtained at hospital admission, focusing on NLR, PLR, and MLR. Analyses were conducted in our laboratory using standard techniques. The postpartum PPD evaluation was conducted 3 days after delivery, with the EPDS Italian version. Statistical analyses included descriptive statistics, group comparisons using t tests or Wilcoxon rank-sum tests for continuous variables, and Pearson χ2 or Fisher's exact tests for categorical variables. Correlation analyses employed Pearson correlation or Spearman's rank correlation tests. Simple logistic regression models, adjusted for various baseline patient characteristics, explored the correlation between inflammatory markers (PLR, NLR, MLR) and postpartum depressive symptoms. Version 4.1.3 of RStudio statistical software was utilized.

RESULTS

Overall, 211 pregnant women enrolled were categorized into two groups based on the EPDS scores: <10 (176 patients) and ≥10 (35 patients). The two groups demonstrated homogeneity in different socio-demographic factors. Stepwise regression analysis indicated that PLR, NLR, and MLR were not significantly associated with these variables. The scatterplot of PLR, NLR, and MLR on EPDS was stratified for EPDS groups. The Wilcoxon rank-sum test applied to PLR, NLR, and MLR values and EPDS groups did not reveal a statistical relationship. Additional analyses were conducted using the estimated odds ratios of the logistic regression model on EPDS groups, considering both continuous and binary values of indirect inflammatory markers (PLR, NLR, MLR). The results indicated the absence of a statistical relationship.

LIMITATIONS

Our evaluation was restricted to the postpartum period, and data for the first and second trimesters of pregnancy are lacking.

CONCLUSIONS

Our findings did not evidence a correlation between indirect inflammatory markers (NLR, PLR, and MPL) and PPD. This novel finding prompts further evaluation of the role of indirect inflammatory markers in PPD, highlighting the need for additional research to clarify the complex relationship between inflammation and psychological health in the postpartum period.

Inflammatory markers are associated with infertility prevalence: a cross-sectional analysis of the NHANES 2013-2020

BACKGROUND

Inflammation exerts a critical role in the pathogenesis of infertility. The relationship between inflammatory parameters from peripheral blood and infertility remains unclear. Aim of this study was to investigate the association between inflammatory markers and infertility among women of reproductive age in the United States.

METHODS

Women aged 20-45 were included from the National Health and Nutrition Examination Survey (NHANES) 2013-2020 for the present cross-sectional study. Data of reproductive status was collected from the Reproductive Health Questionnaire. Six inflammatory markers, systemic immune inflammation index (SII), lymphocyte count (LC), product of platelet and neutrophil count (PPN), platelet-lymphocyte ratio (PLR), neutrophil-lymphocyte ratio (NLR) and lymphocyte-monocyte ratio (LMR) were calculated from complete blood counts in mobile examination center. Survey-weighted multivariable logistic regression was employed to assess the association between inflammatory markers and infertility in four different models, then restricted cubic spline (RCS) plot was used to explore non-linearity association between inflammatory markers and infertility. Subgroup analyses were performed to further clarify effects of other covariates on association between inflammatory markers and infertility.

RESULTS

A total of 3,105 women aged 20-45 was included in the final analysis, with 431 (13.88%) self-reported infertility. A negative association was found between log2-SII, log2-PLR and infertility, with an OR of 0.95 (95% CI: 0.78,1.15; p = 0.60), 0.80 (95% CI:0.60,1.05; p = 0.10), respectively. The results were similar in model 1, model 2, and model 3. Compared with the lowest quartile (Q1), the third quartile (Q3) of log2-SII was negatively correlation with infertility, with an OR (95% CI) of 0.56 (95% CI: 0.37,0.85; p = 0.01) in model 3. Similarly, the third quartile (Q3) of log2-PLR was negatively correlation with infertility, with an OR (95% CI) of 0.61 (95% CI: 0.43,0.88; p = 0.01) in model 3. No significant association was observed between log2-LC, log2-PPN, log2-NLR, log2-LMR and infertility in model 3. A similar U-shaped relationship between log2-SII and infertility was found (p for non-linear < 0.05). The results of subgroup analyses revealed that associations between the third quartile (Q3) of log2-SII, log2-PLR and infertility were nearly consistent.

CONCLUSION

The findings showed that SII and PLR were negatively associated with infertility. Further studies are needed to explore their association better and the underlying mechanisms.

Is platelet to lymphocyte ratio predictive of preeclampsia? A systematic review and meta-analysis

BACKGROUND

To evaluate the value of the platelet-to-lymphocyte ratio (PLR) in predicting preeclampsia (PE) in pregnant women.

METHODS

PubMed, EMBASE and Web of Science databases were searched for observational studies (cohort, case-control or cross-sectional) that reported pre-treatment maternal PLR values in women with and without PE. The analysis was done using a random effects model. Pooled effect sizes were reported as weighted mean difference (WMD) with 95% confidence intervals (CIs). Newcastle-Ottawa Scale (NOS) was used to evaluate the risk of bias.

RESULTS

Twenty-five studies with 7755 patients were included in this meta-analysis. PLR was comparable in patients with PE and healthy pregnant women (WMD -2.97; 95% CI: -11.95 to 6.02; N = 16). Patients with mild (WMD -3.00; 95% CI: -17.40 to 11.41; N = 12) and severe PE (WMD -5.77; 95% CI: -25.48 to 13.94; N = 14) had statistically similar PLR, compared to healthy controls.

CONCLUSIONS

Our findings show similar PLR in PE and healthy pregnancies. PLR, therefore, may not be used to differentiate between PE and normal pregnancy or for assessing the severity of PE. The majority of included studies were case-control, potentially introducing bias, and we identified evidence of publication bias as well.

Diagnostic value of platelet to lymphocyte ratio in preeclampsia: a systematic review and meta-analysis

BACKGROUND

Using straightforward and accessible haematological parameters platelet/lymphocyte ratio (PLR) to diagnose preeclampsia (PE) early and precisely remains a challenge. Although several clinical studies suggested that PLR is able to diagnose PE, there has been no systematic evaluation of the diagnostic utility.

OBJECTIVES

To examine the diagnostic accuracy and potential applicability of PLR in the detection of PE.

STUDY DESIGN

Seven databases were searched using a combination of PLR and PE terms, and all potentially pertinent studies were systematically searched up to March 2023. All potentially relevant studies both prospective and retrospective were reviewed. To assess the diagnostic value of PLR for PE, pooled sensitivity (Sen), specificity (Spe), diagnostic odds ratio (DOR) and area under the summary receiver operating characteristic curve (SROC-AUC) were calculated.

RESULTS

Thirteen studies were enrolled in the meta-analysis. In the second and third trimesters, the PLR suggested a diagnostic value for PE with a pooled Sen of 54.7% [95% confidence interval (CI) (51.7, 57.6)], Spe of 77.8% [95% CI (75.5, 80.0)], + LR of 2.457 [95% CI (1.897, 3.182)], -LR of 0.584 [95% CI (0.491, 0.695)], DOR of 4.434 [95% CI (3.071, 6.402)], the SROC-AUC of 0.7296 and the standard error (SE) of 0.0370.

CONCLUSION

For the diagnosis of PE, PLR has a limited sensitivity but an acceptable specificity, and showed moderate accuracy. Further using complete blood count (CBC) indicators such as PLR alone or in combination to diagnose and predict PE could reduce healthcare costs and improve maternal and child prognosis.

Platelet count in preeclampsia: a systematic review and meta-analysis

OBJECTIVE

Many studies have reported the association between platelets and preeclampsia. However, sample sizes were small, and their findings were inconsistent. We conducted a systematic review and meta-analysis to evaluate the association in pooled samples and in detail.

DATA SOURCES

A systematic literature search was performed using Medline, Embase, ScienceDirect, Web of Science, Cochrane Library, NICHD-DASH, LILACS, and Scopus from inception to April 22, 2022.

STUDY ELIGIBILITY CRITERIA

Observational studies comparing platelet count between women with preeclampsia and normotensive pregnant women were included.

METHODS

The mean differences with 95% confidence interval in platelet count were calculated. Heterogeneity was assessed using I2 statistics. Sensitivity and subgroup analyses were conducted. Statistical analysis was performed using RevMan 5.3 and ProMeta 3 software.

RESULTS

A total of 56 studies comprising 4892 preeclamptic and 9947 normotensive pregnant women were included. Meta-analysis showed that platelet count was significantly lower in women with preeclampsia than in normotensive controls (overall: mean difference, -32.83; 95% confidence interval, -40.13 to -25.52; P<.00001; I2=92%; mild preeclampsia: mean difference, -18.65; 95% confidence interval, -27.17 to -10.14; P<.00001; I2=84%; severe preeclampsia: mean difference, -42.61; 95% confidence interval, -57.53 to -27.68; P<.00001; I2=94%). Significantly lower platelet count was also observed in the second trimester (mean difference, -28.84; 95% confidence interval, -44.59 to -13.08; P=.0003; I2=93%), third trimester (mean difference, -40.67; 95% confidence interval, -52.14 to -29.20; P<.00001; I2=92%), and before the diagnosis of preeclampsia (mean difference, -18.81; 95% confidence interval, -29.98 to -7.64; P=.009; I2=87%), but not in the first trimester (mean difference, -15.14; 95% confidence interval, -37.71 to 7.43; P=.19; I2=71%). Overall, the pooled sensitivity and specificity of platelet count were 0.71 and 0.77, respectively. The area under the curve was 0.80.

CONCLUSION

This meta-analysis confirmed that platelet count was significantly lower in preeclamptic women, irrespective of severity and presence or absence of associated complications, even before the onset of preeclampsia and in the second trimester of pregnancy. Our findings suggest that platelet count may be a potential marker to identify and predict preeclampsia.

Case report: COVID-19 infection in a pregnant 33-year-old kidney transplant recipient

Patients facing severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) infections with comorbidities, especially patients whose immune system is weakened have higher chances to face severe outcomes. One of the main reasons behind the suppression of the immune system is iatrogenic, in patients who have autoimmune diseases and/or had an organ transplant. Although there are studies that are examining immunocompromised and/or transplanted patients with COVID-19 infection, furthermore there is a limited number of studies available which are dealing with COVID-19 in pregnant women; however, it is unique and is worth reporting when these factors are coexisting. In this study, we present the case of a 33-year-old Caucasian pregnant woman, who had a kidney transplant in 2009 and contracted the SARS-CoV-2 virus on the 26th gestational week, in 2021. After her infection, superimposed preeclampsia was diagnosed and due to the worsening flowmetric parameters, she gave birth to a premature male newborn with cesarean section. Our kidney transplant patient’s case highlights how COVID-19 disease can lead to preeclampsia and artificial termination of gestation.