Can System Inflammation Response Index or Systemic Immune Inflammation Index predict gestational diabetes mellitus in the first trimester? A prospective observational study

Yildiz, Esra Gulen; Tanacan, Atakan; Okutucu, Gulcan; Bastemur, Ayse Gulcin; Ipek, Goksun; Sahin, Dilek

doi:10.1002/ijgo.15442

Cited by 5 publications

(1 citation statement)

References 33 publications

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“…In addition, there is an inflammatory condition in pregnancy toxaemia due to the change in cytokine balance in pregnancy-related tissues (Darwish & El-Ebissy, 2019;Kasimanickam, 2016). Inflammatory situations also occur in other pregnancy-related disorders (Yildiz et al, 2024).…”

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confidence: 99%

Comparison of blood ΒHBA measurement devices for diagnosis of subclinical pregnancy toxaemia in sheep: A field study

Turgut,

Koca,

Ünver

2024

Reprod Domestic Animals

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Pregnancy toxaemia is a serious disease that occurs during the last trimester of pregnancy in sheep. Yet, in most cases, the disease may have a subclinical course. This study was aimed at comparing blood βHBA measurement devices for diagnosis of subclinical pregnancy toxaemia in late pregnant sheep. In the study, a total of 50 blood samples were collected from Romanov (n = 30) and cross‐bred Hamdani (n = 20) sheep. Blood βHBA levels were measured using TaiDoc TD‐4235 and CentriVet βHBA hand‐held meter. Randox βHBA (Ranbut) assay was used as a reference laboratory method to compare hand‐held meters. βHBA value of 0.8 mmol/L was set as the cut‐off value for diagnosis of subclinical pregnancy toxaemia. Statistical analyses were carried out using Minitab 21 and Jamovi software. In the study, the correlation of Randox‐TaiDoc TD‐4235 and Randox‐CentriVet was .822 (p < .001) and .728 (p < .001), respectively. Based on the Ranbut assay, nine ewes out of 50 were diagnosed with subclinical pregnancy toxaemia. Specificity (detection of healthy ewes) and sensitivity (detection of ewes with subclinical pregnancy toxaemia) for TaiDoc TD‐4235 and CentriVet hand‐held meters were 100%, 77.8%, and 100%, 66.7%, respectively. In the receiver operating characteristic (ROC) analysis, areas under the ROC curve (AUC) were 0.976 and 0.920 for TaiDoc and CentriVet, respectively. Bland–Altman analysis revealed a bias of 0.092 mmol/L for TaiDoc and a bias of 0.132 mmol/L for CentriVet. TaiDoc hand‐held meter shows a better correlation with the Randox Ranbut assay and greater sensitivity compared to the CentriVet hand‐held meter. In conclusion, both TaiDoc and CentriVet hand‐held meters can be securely used in the diagnosis of subclinical pregnancy toxaemia in sheep. For these reasons, subclinical pregnancy toxaemia and these devices will be evaluated within the scope of herd management programme in the sheep industry. It should also be taken into account that these conditions will affect the future fertility of the mother and offspring.

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mentioning

confidence: 99%

Comparison of blood ΒHBA measurement devices for diagnosis of subclinical pregnancy toxaemia in sheep: A field study

Turgut,

Koca,

Ünver

2024

Reprod Domestic Animals

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Association of Systemic Inflammatory Indices and Last Trimester APRI Score With Perinatal Outcomes in Pregnant Women With Pregestational Diabetes–A Prospective Observational Study

Okutucu,

Tanacan,

Kara

et al. 2024

American J Rep Immunol

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AimsTo investigate whether systemic inflammatory indices and the last trimester APRI score change in PGDM and to evaluate the relationship between these alterations and perinatal outcomes.MethodsA total of 240 pregnant women, 120 of whom were pregestational diabetic (40 with T1DM and 80 with T2DM), were analyzed. In each trimester, WBC, NEU, LNF, PLT, NLR, dNLR, PLR, PNR, and SII values, and in the last trimester MON, PMR, SIRI, AST values, and APRI score were recorded and compared between PGDM and control cohorts.ResultsThe first trimester WBC, NEU, and LNF values were higher and the PNR values were lower, the second trimester LNF value was higher and the NLR was lower, the third trimester APRI score was higher in the PGDM group. In diabetic pregnant women, the optimal cut‐off value of NEU for predicting LBW in the first trimester was 6.965 × 10⁹/L (62.5% sensitivity and 61.6% specificity), while the optimal cut‐off value of the last trimester APRI score for predicting preterm delivery was 0.072 (61.9% sensitivity and 61.6% specificity). In predicting NICU, the optimal cut‐off value for second trimester NLR was found to be 3.973 (70% sensitivity and 70% specificity) in the T1DM group, while the optimal cut‐off values for first and second trimester LNF were 2.395 × 10⁹/L (75% sensitivity and 71.1% specificity) and 2.23 × 10⁹/L (75% sensitivity and 68.4% specificity) in the T2DM group, respectively.ConclusionsIn routine clinical practice, the first trimester NLR and last trimester APRI score may be used as additional tools for predicting perinatal outcomes in pregnancies affected by PGDM.

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Association of novel inflammatory markers with gestational diabetes mellitus in a representative U.S. sample: evidence from NHANES 2007-2018

Chen,

Zeng,

et al. 2024

Preprint

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Background Early detection of gestational diabetes mellitus (GDM) can lower the chance of occurrence. Recent years have seen a surge in research on novel inflammatory indicators, such as systemic immune inflammatory index (SII), lymphocyte-monocyte ratio (LMR), neutrophil-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR). Inflammation is linked to the pathophysiology of GDM and can be targeted for treatment. However, the relationship between GDM and these novel inflammatory markers is unclear. Methods We included participants with a diagnosis of GDM who were between the ages of 20 and 44, as well as complete blood counts from the US National Health and Nutrition Examination conducted between 2007 and 2018. SII, LMR, NLR, and PLR were among the novel inflammatory markers. First, we logarithmically transformed the exposure components to account for skewed distribution. We tested the relationship between GDM and novel inflammatory markers using a multiple logistic regression model and subgroup analyses to analyze the stability. And RCS curves were created to evaluate the non-linear connection. Results Following the inclusion of 3,722 women aged 20–44 years with GDM, multivariate logistic regression analysis revealed a positive correlation between log2-LMR and GDM (OR = 1.55, 95% CI = 1.20–2.01, p = 0.001), while negative correlations were observed between log2-SII, log2-PLR, and log2-NLR with GDM (OR = 0.84, 95% CI = 0.71–0.99, p = 0.04; OR = 0.73, 95% CI = 0.56–0.94, p = 0.01; OR = 0.65, 95% CI = 0.47–0.97, p = 0.03), and the correlation remained significant even after controlling for all confounders. Correlations were consistently shown by subgroup analyses. When the log2-LMR value was less than 1.79, the risk of GDM reduced with rising log2-LMR, and this tendency was reversed when larger than 1.79. Conclusions Elevated levels of new inflammatory markers are correlated with an increased risk of GDM and may offer clinicians with information to screen for GDM and identify GDM therapeutic targets. Further studies are required to investigate the causal relationship between the new inflammatory markers and GDM.

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Can System Inflammation Response Index or Systemic Immune Inflammation Index predict gestational diabetes mellitus in the first trimester? A prospective observational study

Cited by 5 publications

References 33 publications

Comparison of blood ΒHBA measurement devices for diagnosis of subclinical pregnancy toxaemia in sheep: A field study

Comparison of blood ΒHBA measurement devices for diagnosis of subclinical pregnancy toxaemia in sheep: A field study

Association of Systemic Inflammatory Indices and Last Trimester APRI Score With Perinatal Outcomes in Pregnant Women With Pregestational Diabetes–A Prospective Observational Study

Association of novel inflammatory markers with gestational diabetes mellitus in a representative U.S. sample: evidence from NHANES 2007-2018

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