|Year : 2019 | Volume
| Issue : 2 | Page : 149-153
Subclinical inflammation markers in hyperemesis gravidarum and ketonuria: A case–control study
Ersin Cintesun1, Serra Akar1, Ayhan Gul1, Feyza Nur Incesu Çintesun2, Gözde Sahin1, Huriye Ezveci3, Fikret Akyürek2, Çetin Çelik1
1 Department of Obstetrics and Gynecology, Faculty of Medicine, Selçuk University, Selçuklu, Konya, Turkey
2 Department of Obstetrics and Gynecology, Konya Training and Research Hospital, Selçuklu, Konya, Turkey
3 Department of Biochemistry, Faculty of Medicine, Selçuk University, Selçuklu, Konya, Turkey
|Date of Submission||13-Nov-2018|
|Date of Acceptance||01-Mar-2019|
|Date of Web Publication||27-May-2019|
Dr. Ersin Cintesun
Department of Obstetrics and Gynecology, Faculty of Medicine, Selçuk University, Selcuklu, Konya, 42075
Source of Support: None, Conflict of Interest: None
| Abstract|| |
INTRODUCTION: Subclinical inflammation markers play a significant role in hyperemesis gravidarum (HEG). Simple hematological markers such as mean platelet volume (MPV), platelet distribution width (PDW), neutrophil-to-lymphocyte ratio (NLR), red cell distribution width (RDW), plateletcrit (PCT), and platelet-to-lymphocyte ratio (PLR) have been shown to reflect inflammatory burden and disease activity in several disorders. Ketonuria is a parameter used in the diagnosis of severe HEG, but its correlation with disease severity remains controversial. The relationship of subclinical inflammation markers with degree of ketonuria has not been examined previously. In this study, we aimed to determine the diagnostic value of these subclinical inflammation markers and the relationship between these markers and grade of ketonuria in patients with HEG.
MATERIALS AND METHODS: A total of 94 pregnant women with a diagnosis of HEG and 100 gestational age-matched healthy pregnant women were enrolled in this retrospective study. MPV, PDW, NLR, PLR, PCT, and ketonuria were calculated and analyzed from complete blood cell counts and total urine analyses.
RESULTS: Lymphocyte count was significantly higher in the control group (P < 0,001); NLR and PLR values were significantly higher in the HEG group (P < 0,001). Among inflammation markers, RDW increased significantly (P = 0,008) with an increase in ketonuria in patients with HEG. A statistically significant correlation was found between white blood cell (WBC) and NLR, PLR, PCT. A moderate uphill relationship was observed between NLR and WBC and a weak uphill linear relationship was observed between WBC and PLR and between WBC and PCT
CONCLUSIONS: PLR and NLR can be considered effective markers to aid in the diagnosis of HEG. No marker was found to correlate with ketonuria grade except RDW, although the relationship of the severity of ketonuria with severity of disease is controversial. RDW increases as the degree of ketonuria increases.
Keywords: Hyperemesis gravidarum, ketonuria, subclinical inflammation
|How to cite this article:|
Cintesun E, Akar S, Gul A, Çintesun FN, Sahin G, Ezveci H, Akyürek F, Çelik &. Subclinical inflammation markers in hyperemesis gravidarum and ketonuria: A case–control study. J Lab Physicians 2019;11:149-53
|How to cite this URL:|
Cintesun E, Akar S, Gul A, Çintesun FN, Sahin G, Ezveci H, Akyürek F, Çelik &. Subclinical inflammation markers in hyperemesis gravidarum and ketonuria: A case–control study. J Lab Physicians [serial online] 2019 [cited 2019 Oct 19];11:149-53. Available from: http://www.jlponline.org/text.asp?2019/11/2/149/258952
| Introduction|| |
Nausea with or without vomiting is a common symptom in pregnancy. If the symptoms are mild, nausea in the first trimester can be considered part of normal physiological changes in pregnancy. Hyperemesis gravidarum (HEG), which is a severe form of nausea and vomiting in pregnancy, can cause electrolyte, fluid and acid-base imbalance, nutrition deficiency, and loss of >5% of prepregnancy body weight. The incidence of women with severe symptoms varies from 0.3%–3% of pregnancies. The pathophysiological basis of HEG is controversial and a number of theories such as psychological factors, hormonal changes, abnormal gastric motility, Helicobacter pylori infection, hepatic dysfunction, and genetic predisposition among others have been proposed.,
The role of inflammation in the pathogenesis of HEG cannot be adequately elucidated with the current data. Significant relationships between inflammation markers and HEG have been reported.,, In addition, the major pro-inflammatory cytokines (tumor necrosis factor-alpha, interleukin-6, etc.) were found to be elevated in HEG patients. Simple hematological markers such as mean platelet volume (MPV), platelet distribution width (PDW), neutrophil-to-lymphocyte ratio (NLR), red cell distribution width (RDW), plateletcrit (PCT), and platelet-to-lymphocyte ratio (PLR) have been shown to reflect inflammatory burden, and disease activity in several disorders.,, Several studies evaluating the significance of inflammation markers in HEG have been presented., However, the results are conflicting and the relationship between the severity of ketonuria and subclinical inflammation has not been examined. In this study, we aimed to investigate the diagnostic value of inflammation markers and the relationship between ketonuria severity and inflammation markers in HEG patients.
| Materials and Methods|| |
This retrospective case–control study included 94 pregnant women with a diagnosis of HEG and 100 gestational age-matched healthy pregnant women.
The inclusion criteria for HEG patients were as follows: persistent nausea and vomiting, loss of >5% of prepregnancy body weight, the presence of at least one positive ketonuria test in a random urine specimen, fetal heartbeat positivity at 6–13 weeks gestation, and singleton pregnancy.
The exclusion criteria for HEG patients were as follows: a history of ovulation induction, eating disorders, multiple gestations, cigarette smoking, gastrointestinal disorders, thyroid disorders, or urinary tract infections. The study was approved by the Selcuk University Ethics Committee and was conducted in accordance with the guidelines of the Helsinki Declaration.
White blood cell (WBC) count, neutrophil count (NEU), lymphocyte count (LYM), hemoglobin (Hb), platelet count (Plt), MPV, PDW, PCT, and RDW were all collected from patients' files. The NLR and PLR were calculated by obtaining the ratios of absolute neutrophil count to absolute lymphocyte count and absolute platelet count to absolute lymphocyte count, respectively. The ketonuria grades were also collected from patients' files. In HEG patients, ketonuria was graded as 1+, 2+, and 3+.
Statistical Package for the Social Sciences (Version 22, SPSS Inc., Chicago, IL, USA) was used to analyze the data. Kolmogorov–Smirnov test, Shapiro–Wilk test, and histograms were used to evaluate the distribution of normality. HEG and control patients' values were compared using Student's t-test and Mann–Whitney U test according to the normal distribution. Data were expressed as mean (min-max) or median (min-max). One-way ANOVA and linearity test were used to test for the correlation between ketonuria degree and inflammation markers. Receiver operating characteristic (ROC) curve analysis was used to identify the optimal cut-off values of NLR and PLR for diagnosing HEG with maximum sensitivity and specificity. Spearman correlation analysis was used for the evaluation of a possible correlation between distinct variables. P < 0.05 was considered to be statistically significant.
| Results|| |
A total of 194 patients were enrolled in the study. No statistically significant differences were observed in age, gravidity, and parity between the two groups. Other inflammation markers except for LYM, NLR, and PLR values were similar in both groups. LYM was significantly higher in the control group (P < 0.001); NLR and PLR were significantly higher in the HEG group (P < 0.001). Demographic features and values of subclinical inflammation markers in the study and control groups are summarized in [Table 1].
|Table 1: Comparison of demographic features, subclinical inflammation marker values between HEG patients and controls|
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When values of inflammation markers were analyzed according to the degree of ketonuria in the HEG group, RDW was noted to increase significantly with an increase in the severity of ketonuria (P = 0.008). In addition, as the degree of ketonuria increased, PDW increased, WBC and NEU decreased, but these changes were not statistically significant. The changes in the values of inflammation markers and the variation of RDW with a degree of ketonuria in HEG patients are presented in [Table 2] and [Figure 1], respectively.
|Table 2: Change of inflammation marker values according to the degree of ketonuria in hyperemesis gravidarum group|
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|Figure 1: Linear variation charts of RDW. RDW: Red cell distribution width|
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ROC curve analysis suggested that the optimum NLR cutoff point for diagnosis of HEG was 4.11; the sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV) were 52.1%, 77%, 64.94%, 66.05%, and 63.11%, respectively (AUC: 0.656). The optimum PLR cutoff point for diagnosis of HEG was 149.96; sensitivity, specificity, accuracy, PPV, and NPV were 52.1%, 77%, 64.94%, 66.05%, and 63.11%, respectively (AUC: 0.671). ROC chart for NLR and PLR is shown in [Figure 2].
|Figure 2: Receiver operating characteristic curves for neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio for the diagnosis of hyperemesis gravidarum|
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In the Spearman analysis of the correlation between inflammation markers and WBC, which is also an inflammation marker; a statistically significant correlation was found between WBC and NLR, PLR, PCT. A moderate uphill (positive) relationship was observed between NLR and WBC and a weak uphill (positive) linear relationship was observed between WBC and PLR and between WBC and PCT [Table 3] and [Figure 3].
|Table 3: Spearman correlation coefficients between inflammation markers and white blood cell markers in hyperemesis gravidarum patients|
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|Figure 3: The correlation between neutrophil-to-lymphocyte ratio and white blood cell in hyperemesis gravidarum patients. Red lines representing the 95% confidence interval|
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| Discussion|| |
HEG is a severe form of nausea and vomiting in pregnancy, consequently resulting in weight loss, ketonuria, and fluid-electrolyte and acid–base imbalance. HEG may be so severe that it necessitates hospitalization and may even progress fatally to central pontine myelinolysis and Wernicke's encephalopathy. Therefore, early diagnosis and treatment of severe HEG is crucial for maternal and fetal well-being.
Although the link between HEG development and inflammation is not fully understood, studies on inflammation markers in HEG patients suggested strong associations between them.,, Investigations showed HEG to be related to several factors including activation of inflammatory cells and immunologic responses in which neutrophils, lymphocytes, and thrombocytes participate by releasing inflammatory cytokines. According to recent studies, systemic inflammatory markers obtained from complete blood count in peripheral blood, such as NLR, PLR, RDW, MPV, and PCT have prognostic and predictive values in various diseases including coronary artery, inflammatory, autoimmune diseases, preeclampsia, and gynecologic or gastrointestinal malignancies.,, Several studies evaluating the significance of inflammation markers in HEG have been presented., Although the relationship between HEG and inflammation markers has been investigated previously, our study is unique due to its inclusion of the relationship between inflammation markers and ketonuria. The results pertaining to ketonuria from this study may lead to prospective randomized trials of ketonuria in patients with HEG and provide objective discharge criteria, which are missing in the literature and clinical practice for HEG patients.In this study, our primary goal was to assess the change in systemic inflammatory markers in patients with severe HEG. In addition, we aimed to clarify the association of ketonuria grade with systemic inflammation markers.
Theoretically, increased hemoconcentration due to vomiting may be expected in patients with HEG. Sari et al. found that Hb and hematocrit levels did not change in HEG patients. These findings were similar in our study. The degree of hemoconcentration might be masked by the physiological decline in hematocrit and Hb that normally occurs in pregnancy.
Lymphocyte count tends to be higher in women with HEG. However, in some studies, no change in lymphocyte count has been shown., In our study, the lymphocyte count was found to be lower in the HEG group, which was consistent with other studies from the literature.
PDW, PCT, and MPV reflect the variation of platelet volume and are thought to be markers of platelet activation. PCT is calculated by multiplying platelet count with MPV and dividing it by 10,000., These parameters can be measured by full blood count analyzer at no additional cost. These markers, which indicate platelet activation, have been used to diagnose many inflammatory diseases., Beyazit et al. found that PDW and MPV did not differ significantly between HEG patients and controls. Tayfur et al. found that PCT value was significantly higher in HEG patients compared to healthy pregnant controls. In our study, PDW, PCT, and MPV values were found to be similar in both groups.
The RDW shows a variation in erythrocyte volume known as anisocytosis. High RDW is believed to reflect increased inflammation and oxidative stress that alter erythrocyte homeostasis, but this mechanism is not completely understood. RDW may be elevated by inflammation, inhibiting the production of erythropoietin, and impairing iron metabolism. Beyazit et al. found no significant difference in RDW values between HEG patients and controls and we obtained similar results.
NLR and PLR are also used as inflammatory markers, and they have been studied in diseases associated with inflammation.,, NLR and PLR were found significantly higher in HEG patients., In the correlation study performed by Beyazıt et al., no correlation was found between NLR-PLR and WBC. In our study, NLR and PLR were significantly higher in HEG patients. In addition, there was a statistically significant correlation between NLR-PLR and WBC.
Ketonuria is a parameter used in the diagnosis of severe HEG, but the relationship between the severity of disease and degree of ketonuria is not clear. Several studies have examined possible associations between the severity of the disease and the degree of ketonuria.,, Severity was determined according to readmission rate and as a hospital stay of >4 days., Ketonuria was not significantly associated with prolonged hospital stay. Other studies showed no significant association between the grade of ketonuria and severity of HEG in terms of readmission., A study comparing patients with and without HEG reported that the level of ketonuria was higher in the hyperemesis group and longer duration of hospitalization was associated with higher ketonuria levels. In our study, the relationship between the grade of ketonuria and inflammation markers was examined. No significant relationship was found except for the statistically significant increase in RDW with an increase in the severity of ketonuria (P = 0.008).
Limitations of this study are its retrospective design, collection of data from a single center, and the relatively small population in both groups as well as the lack of data on patients' iron and folic acid supplementation or blood levels.
| Conclusions|| |
PLR and NLR can be considered effective markers to aid in the diagnosis of HEG. No marker was found to correlate with degree of ketonuria except RDW, although the correlation of severity of ketonuria with severity of disease remains controversial. RDW increases with the degree of ketonuria. It is unclear whether the increase in inflammation markers is the cause or consequence of HEG. A larger-scale, prospective clinical study should be conducted to further evaluate the diagnostic and prognostic significance of these hematological markers and ketonuria in HEG patients.
Informed consent was obtained from all individual participants included in the study.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
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[Figure 1], [Figure 2], [Figure 3]
[Table 1], [Table 2], [Table 3]