Subclinical inflammation markers in hyperemesis gravidarum and ketonuria: A case-control study

Predictability of Hematological Parameters in the Diagnosis of Cesarean Scar Pregnancy

Introduction  Cesarean scar pregnancy (CSP) is an increasing clinical condition that causes serious maternal morbidity and mortality. This study aimed to evaluate if inflammation markers measured by hemogram can aid in the diagnosis of CSP. Materials and Methods  A total of 86 patients were included in the study. The cases were divided as CSP ( n : 42) and normal pregnancy (NP) ( n : 44). At the time of admission, peripheral blood neutrophils, lymphocytes, monocytes, thrombocytes, systemic inflammatory index (SII) (neutrophil × platelet/lymphocyte), neutrophil-lymphocyte ratio, monocyte-lymphocyte ratio, and platelet-lymphocyte ratio were all measured. CSP and NP diagnoses were made by transabdominal or vaginal ultrasonography. Results  In the CSP group, mean age ( p  < 0.001), gravida ( p  < 0.001), parity ( p  < 0.001), number of surviving children ( p  < 0.001), number of abortions ( p  < 0.001), cesarean number ( p  < .001), dilatation and curettage count ( p  = 0.013), monocyte (M) value ( p  = 0.039) and monocyte/lymphocyte value (MLR) ( p  = 0.035) were significantly higher than the control group. The optimal M value cut-off value was found to be > 0.40, the sensitivity value was 78.57, and the specificity value was 50.00. AUC = 0.632 (SE = 0.061) for the MLR value. The optimal MLR cut-off value was found to be > 0.232, the sensitivity value was 61.90, and the specificity value was 63.64. Conclusion  Hemogram parameters, which are simple, inexpensive, and easily accessible, M and MLR are significantly higher in the diagnosis of CSP and can be used as an auxiliary parameter for ultrasonography.

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.

The Role Of Systemic Immune-Inflammation Index In The Severity Of Hyperemesis Gravidarum

BACKGROUND

Hyperemesis gravidarum(HEG) is one of the severe health problems in early pregnancy. Obstetricians should be aware of systemic inflammation in HEG patients to provide better preventive strategies.

AIM

Hyperemesis gravidarum(HEG) is one of the most common causes of hospitalization in early pregnancy. Complete blood count parameters can be used as inflammatory markers in patients with HEG. We aimed to investigate the Systemic Immune-Inflammation Index (SII)in predicting the severity of HEG.

METHODS

This cross-sectional study was performed with 469 pregnant women diagnosed and hospitalized with HEG. The study parameters were calculated from complete blood count tests and urine analysis. Demographic characteristics, the Pregnancy Unique Quantification of Emesis (PUQE) scale values, and ketonuria levels at hospital admission were recorded. The neutrophil‑to‑lymphocyte ratio (NLR), platelet‑to‑lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and SII, calculated by the formula (neutrophil × platelet/lymphocyte), were evaluated for predicting the severity of HEG.

RESULTS

There was a positive correlation between the increased degree of ketonuria and SII. The cut-off value of SII for predicting the severity of HEG was 1071.8 (AUC 0.637, 95% CI (0.582-0.693), p<.001), and sensitivity and specificity were 59% and 59%, respectively. The cut-off value of SII to predict the length of hospitalization was 1073.6(AUC: 0.565, 95% CI: (0.501-0.628), p= 0.039); sensitivity and specificity were 56.3% and 55.5%, respectively CONCLUSIONS: : The clinical utility of SII in predicting HEG severity is limited due to relatively low sensitivity and specificity. Further research is needed to determine the importance of inflammatory indices in HEG patients.

Development and Validation of a Risk Prediction Model for In-Hospital Mortality in Patients With Acute Upper Gastrointestinal Bleeding

Acute upper gastrointestinal bleeding (UGIB) is a common life-threatening clinical emergency with a poor prognosis. The aim of this study was to develop a risk prediction model for in-hospital mortality in patients with UGIB. We performed a post hoc analysis of a publicly available retrospective clinical data. A total of 360 patients with UGIB were included in this study. The least absolute shrinkage and selection operator regression was used to screen predictors and a restricted cubic spline function was used to investigate the assumption of linear relationships between continuous predictors and the risk of in-hospital mortality. Backward stepwise selection with the Akaike information criterion was used to identify variables for the best prediction model. A nomogram was developed based on the results of the best prediction model. The receiver operating characteristic curve, GiViTI calibration plot, and decision curve analysis were used to evaluate the performance of the nomogram. The optimal prediction model consisting of 4 predictors: red cell distribution width (odds ratio [OR] = 8.44; 95% confidence interval [CI]: 1.77-89.10), platelet count (OR = 0.99; 95% CI: 0.99-1.00), pulse rate (OR = 1.03; 95% CI: 1.01-1.05), and SpO2 (OR = 0.92; 95% CI: 0.86-0.96). The nomogram model had good discrimination (area under the curve  =  0.86, 95% CI: 0.78-0.95), calibration, and clinical usefulness. In this study, we developed a nomogram model for predicting death during hospitalization in patients with UGIB based on blood biomarkers and baseline vital signs at the time of admission. The model has good performance, allowing rapid risk stratification of patients with UGIB.

Hematological Parameters to Predict the Severity of Hyperemesis Gravidarum and Ketonuria

OBJECTIVE

 Hyperemesis gravidarum (HG) is a pregnancy complication that can progress with persistent nausea and vomiting. The aim of the present study is to evaluate the relationship between hematological parameters and HG.

METHOD

 A total of 532 pregnant women with HG who were admitted to the Department of Obstetrics and Gynecology between March 2019 and February 2021, and 534 healthy pregnant women with characteristics similar to those of the case group were included in the study. The hematological parameters of both groups were compared. In addition, the hematological parametersof patients with HG according to the severity of ketonuria were compared.

RESULTS

 The mean age of the HG group (n = 532) was 26.3 ±  4.1 years, and that of the control group (n = 534) was 25.9 ±  4.8 years. Among patients with HG, 46% (n = 249) had ketone (+), 33% (n = 174), ketone (++), and 21% (n = 109), ketone (++ + ). The neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) were higher in the HG group than in the control group: 3.8 (2.8-5.8)/3.2 (2.6-4.0); p < 0.001; and 135.2 ±  30.4/108.9 ±  62.2; p < 0.001 respectively. The neutrophil count, NLR, and PLR were higher in the group with ketone (++ + ) than in the groups with ketone (+) or ketone (++): 7.6 ±  1.9/5.5 ±  2.4; p < 0.001; 3.8(2.8-4.6)/2.9(2.3-3.6); p < 0.001; and 149.9 ±  48.0/135.9 ±  65.7; p < 0.001 respectively. The mean corpuscular hemoglobin (MCH) level, the NLR, and the PLR were identified as independent predictors of the presence of HG and the level of ketone positivity in HG patients.

CONCLUSION

 The NLR and PLR were high in patients with HG, suggesting the its inflammatory activity. They may be important markers associated with the presence and severity of HG.

The Red Blood Cell Distribution Width-Albumin Ratio Was a Potential Prognostic Biomarker for Diabetic Ketoacidosis

Background

The red blood cell distribution width (RDW)–albumin ratio (RA) is a new biomarker, which is d-efined as RDW divided by albumin. This study aimed at determining the prognostic values of RA for diabetic ketoacidosis (DKA).

Methods

Data were obtained from Medical Information Mart for Intensive Care Database III V1.4 (MIMIC-III) and the RA calculated. Multivariate Cox regression analysis was performed to determine the correlation between RA and 90-day mortality or 365-day mortality. To further investigate the association with RA and mortality, the patients were divided into two groups. The second outcome was the association between the incidence of DKA-related infections and RA.

Results

For DKA patients in the ICU, RA was significantly correlated with 90-day mortality (HR: 2.1, 95% CI: 1.5, 3.0, p < 0.001) and 365-day mortality (HR: 1.9, 95% CI: 1.5, 2.5, p < 0.001). A high RA was independently correlated with increased 90-day mortality (HR: 7.8, 95% CI: 1.8, 34.0, p for trend <0.001) and 365-day mortality (HR: 5.2, 95% CI: 2.4, 11.3, p for trend <0.001). Moreover, RA was found to be an independent predictor for sepsis and septic shock in patients with DKA (HR: 2.9, 95% CI: 2.0, 4.1, p < 0.001). After adjusting for confounders, the statistical outcome was the same.

Conclusion

A high RA is significantly correlated with increased all-cause mortality of DKA as well as an increased incidence of DKA-related infections. RA is a potential prognostic marker for DKA.

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.

Links between perinatal risk factors and maternal psychological distress: A network analysis

INTRODUCTION

This paper explores a range of perinatal risk factors that may increase maternal vulnerability to postnatal psychological distress in a sample of 17 531 women participating in the Millennium Cohort Study, a diverse British, longitudinal birth cohort study.

MATERIAL AND METHODS

Using a graphical network modeling framework, this study models the links between postnatal psychological distress and perinatal risk factors, while controlling for sociodemographic factors and history of depression and anxiety. Postnatal psychological distress was assessed at 9 months postpartum using the Rutter Malaise Inventory.

RESULTS

Results of the graphical network models indicate that lower levels of happiness about the pregnancy (Edge weight [w] = 0.084, 95% CI = 0.069-0.100, b = 0.095), smoking during pregnancy (w = 0.026, 95% CI = -0.009-0.060, b = 0.029), infection during pregnancy (w = 0.071, 95% CI = 0.024-0.118, b = 0.090), hyperemesis gravidarum (w = 0.068, 95% CI = 0.013-0.123, b = 0.083), baby in special care (w = 0.048, 95% CI = -0.004-0.099, b = 0.062), not being white (w = 0.101, 95% CI = 0.062-0.140, b = 0.118), being from a more deprived area (w = -0.028, 95% CI = -0.051 to -0.005, b = -0.039), lower income (w = -0.025, 95% CI = -0.055-0.005, b = -0.036), and history of depression or anxiety (w = 0.574, 95% CI = 0.545-0.603, b = 0.764) were associated with increased psychological distress.

CONCLUSIONS

Some perinatal risk factors may be directly associated with postnatal psychological distress, but many risk factors appear to be primarily associated with demographic factors. This emphasizes the importance of taking a holistic approach when evaluating an individual's risk of developing postnatal psychological distress.