Indicator Of Systemic Inflammation Research Articles

The role of inflammation biomarkers in carotid artery stenosis procedures

BackgroundCarotid revascularization procedures, such as carotid endarterectomy (CEA) and carotid artery stenting (CAS), can lead to restenosis. Monitoring restenosis onset through biomarkers is crucial in clinical practice. This study aimed to evaluate inflammation biomarkers in CEA and CAS to determine their predictive value for restenosis risk post-procedure. MethodsA retrospective analysis was conducted on the clinical records of patients with carotid stenosis who underwent CEA or CAS over one year at the Vascular Surgery departments of an interuniversity center. Eligible asymptomatic patients with carotid stenosis (70-99%) underwent revascularization. Differences between pre- and early post-procedural inflammation indices were assessed, and restenosis risk was evaluated using Receiver Operating Curve analysis and logistic regression. ResultsThe cohort comprised 100 patients, 68 undergoing CEA and 32 undergoing CAS. Significant values were observed for inflammation ratios post-CEA: neutrophils to lymphocytes ratio (NLR) (p=0.036), platelets to lymphocytes ratio (PLR) (p=0.009), monocytes to lymphocytes ratio (MLR) (p<0.001), systemic inflammation index (SII) (p=0.024), systemic immune response index (SIRI) (p=0.003), and aggregate inflammation response index (AISI) (p<0.001). At 12-month follow-up, 12% of patients experienced restenosis; 50% were men and 50% women. Women showed a higher restenosis rate (26.1% vs 7.8%). Pre-intervention NLR (OR [95% CI] = 13.38 [1.88 to 95.44], p=0.010) and SIRI (OR [95% CI] = 10.22 [2.65 to 39.43], p=0.001) remained significantly associated with restenosis after adjusting for sex and smoking. ConclusionThe study provided a predictive model for restenosis, identifying pre-intervention NLR and SIRI as independent predictors of restenosis at 12-month follow-up.

Role of Serum Biomarkers in Differentiating Periprosthetic Joint Infections from Aseptic Failures after Total Hip Arthroplasties.

Background/Objectives: Periprosthetic joint infection (PJI) is a disastrous complication after joint replacement procedures as the diagnosis remains a significant challenge. The objective of this study is to assess the accuracy and test the interdependency of the proposed compound serum biomarkers for the diagnosis of PJI after total hip arthroplasties (THA). Methods: From January 2019 to December 2023, 77 consecutive cases that underwent revision total hip arthroplasties (rTHA) were included in a single-retrospective, observational cohort study. A total of 32 arthroplasties were classified as having septic complications using the European Bone and Joint Infection Society (EBJIS) definition from 2021, while the other 45 cases were assigned as aseptic failures (AF). Results: In the univariate analysis between the two groups created, statistically significant differences (p < 0.005) were found for the following variables: time from primary arthroplasty to symptom onset (Time PA-SO), neutrophil count, Lymphocyte count, haematocrit level (HCT) and haemoglobin level (HGB), C-reactive protein (CRP), the neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), monocyte lymphocyte ratio (MLR), systemic inflammation index (SII), systemic inflammation response index (SIRI), and aggregate inflammation systemic index (AISI). The ROC curve analysis showed that the SII (sensitivity 90.6% and specificity 62.2%) and the NLR (sensitivity 84.4% and specificity 64.4%) are the most accurate biomarkers. The multivariate analysis confirmed that NLR > 2.63 (p = 0.006), PLR > 147 (p = 0.021), MLR > 0.31 (p = 0.028), SII > 605.31 (p = 0.002), SIRI > 83.34 (p = 0.024), and AISI > 834.86 (p = 0.011) are all closely related to PJI diagnosis independently. Conclusions: The proposed serum biomarkers can be correlated with PJI diagnosis with the reserve of relatively low specificities.

The relationship between leukocyte-based inflammation indices and essential tremor

Aim: Previous limited studies have indicated that pro-inflammatory cytokines are elevated in patients with essential tremor (ET). This elevation could lead to a more pronounced inflammatory response in these patients. Thus, this study aimed to investigate the relationship between leukocyte-based inflammatory indices and ET. Material and Methods: In this retrospective study, 103 patients diagnosed with ET between January 2021 and December 2023 were included, along with 103 healthy individuals who were matched by age and gender, participated in check-up programs, and had no other comorbidities. To evaluate tremor severity, the Fahn-Tolosa-Marin (FTM) tremor rating scale was utilized. The leukocyte-based inflammatory indices were calculated as follows: NLR= neutrophils / lymphocytes, PLR = platelets / lymphocytes, systemic immune-inflammation index (SII) = platelets × neutrophils / lymphocytes, and systemic inflammatory response index (SIRI) = neutrophils × monocytes / lymphocytes. Results: The ET group exhibited higher levels of leukocytes, their subtypes, CRP and leukocyte-based inflammatory indices compared to the control group. Increased CRP (OR= 3.71, p &lt; 0.001) and SIRI (OR= 11.73, p &lt; 0.001) levels were independent predictors of ET. In predicting ET. SIRI exhibited superior diagnostic performance compared to other inflammatory parameters. The threshold for SIRI levels was set at 7 and above, with a sensitivity of 85.4% and a specificity of 82.5%. There was a positive correlation between SIRI and FTM scores. Conclusion: Among the leukocyte-based inflammation indices, SIRI demonstrated superior diagnostic performance in predicting ET and was associated with higher tremor severity. This suggests that inflammation may play a potential role in the pathophysiology of ET.

Inflammation indices in association with periodontitis and cancer.

Inflammation is a complex physiological process that plays a pivotal role in many if not all pathological conditions, including infectious as well as inflammatory diseases, like periodontitis and autoimmune disorders. Inflammatory response to periodontal biofilms and tissue destruction in periodontitis is associated with the release of inflammatory mediators. Chronic inflammation can promote the development of cancer. Persistence of inflammatory mediators plays a crucial role in this process. Quantification and monitoring of the severity of inflammation in relation to cancer is essential. Periodontitis is mainly quantified based on the severity and extent of attachment loss and/or pocket probing depth, in addition with bleeding on probing. In recent years, studies started to investigate inflammation indices in association with periodontal diseases. To date, only few reviews have been published focusing on the relationship between blood cell count, inflammation indices, and periodontitis. This review presents a comprehensive overview of different systemic inflammation indices, their methods of measurement, and the clinical applications in relation to periodontitis and cancer. This review outlines the physiological basis of inflammation and the underlying cellular and molecular mechanisms of the parameters described. Key inflammation indices are commonly utilized in periodontology such as the neutrophil to lymphocyte ratio. Inflammation indices like the platelet to lymphocyte ratio, platelet distribution width, plateletcrit, red blood cell distribution width, lymphocyte to monocyte ratio, delta neutrophil index, and the systemic immune inflammation index are also used in hospital settings and will be discussed. The clinical roles and limitations, relationship to systemic diseases as well as their association to periodontitis and treatment response are described.

MAIT Cells in the Bone Marrow of Patients with Aplastic Anemia.

Mucosal-associated invariant T cells (MAIT cells) are a subset of T cells with innate, effector-like properties that play an essential role in the immune response to microbial infections. In humans, MAIT cells are detectable in the blood, liver, and lungs, but little is known about the frequency of these cells in the bone marrow. Also, the pathogenic role, if any, of MAIT cells in the development of aplastic anemia, a disease with an exquisite origin in the bone marrow, is currently unknown. We investigated the frequency and clinical relevance of bone marrow MAIT cells in a cohort of 14 patients (60.6 ± 23 and 57% women) with aplastic anemia. MAIT cells in the bone marrow samples obtained at diagnosis were evaluated by flow cytometry, and their association with various blood cell parameters and the patients' clinical features was analyzed. MAIT cells were detectable in the bone marrow of all patients, with considerable variations among them. Bone marrow MAIT cells expressing the activator receptor natural killer group 2D - NKG2D (NKG2D+ MAIT cells) were significantly more abundant in the specimens of the aplastic anemia patients than in patients with bone marrow failure distinct from aplastic anemia. In addition, the NKG2D+ MAIT cells positively correlated with whole blood cell counts (WBC), platelet counts, and neutrophil counts, as well as with various inflammatory markers, including neutrophil-to-lymphocyte rate (NLR), platelet-to-lymphocyte rate (PLR), and systemic inflammatory index (SII). In functional studies, bone marrow CD34+ hematopoietic cells exposed to phytohemagglutinin or bacterial-derived lipopolysaccharide and acetyl-6-formylpterin upregulated MR1 (major histocompatibility complex, class I-related, known to interact with MAIT cells) and MICA/B (MHC class I chain-related gene A, a ligand of NKG2D) proteins on their cell surface, suggesting that under stress conditions, CD34+ hematopoietic cells are more likely to interact with NKG2D+ MAIT cells. In addition, NKG2D+ MAIT cells upregulated perforin and granzyme B in response to their interaction with recombinant MICA protein in vitro. This study reports for the first time the frequency of MAIT cells in the bone marrow of patients with aplastic anemia and assesses the potential implications of these cells in the pathogenesis or progression of aplastic anemia.

Early differential diagnosis between acute inflammatory demyelinating polyneuropathy and acute-onset chronic inflammatory demyelinating polyneuropathy in children: Clinical factors and routine biomarkers

BackgroundTo identify clinical factors and biomarkers that could contribute to early differential diagnosis of acute inflammatory demyelinating polyneuropathy (AIDP) and acute-onset chronic inflammatory demyelinating polyneuropathy (A-CIDP) in the pediatric population, with limited evidence. MethodsWe conducted an observational retrospective study of children diagnosed with AIDP and A-CIDP between January 2014 and December 2022. Demographic data, clinical features, and routine biomarkers were also analyzed. Statistical analysis was used to identify significant features with high sensitivity and specificity. ResultsWe included 91 AIDP and 17 A-CIDP patients. The A-CIDP group had an older median age (6.33 vs. 4.33 years, p = 0.017), required more complex immunotherapies (p < 0.001), and showed a longer time to nadir over 2 weeks (76.5 % vs. 7.7 %, p < 0.001). Gastrointestinal dysfunction (29.4 % vs. 6.59 %, p = 0.014) and numbness (35.3 % vs. 12.1 %, p = 0.027) were more prevalent in A-CIDP. The AIDP patients had a longer median hospitalization stays (13 vs. 11 days, p < 0.05), more prodromal events (90.1 % vs. 64.7 %, p = 0.013), and more frequent cranial nerve palsy (61.5 % vs. 5.88 %, p < 0.001). The disability scores on admission, discharge, and peak were worse in the AIDP group (p < 0.001). AIDP patients showed higher cerebrospinal fluid protein (p = 0.039), albumin quotient (p = 0.048), leukocytes (p = 0.03), neutrophils (p = 0.010), platelet count (p = 0.005), systemic inflammatory index (SII) (p = 0.009), and gamma-glutamyl transferase (p = 0.039). Multivariable regression identified two independent predictors of early A-CIDP detection: time from onset to peak beyond 2 weeks (OR = 37.927, 95%CI = 7.081–203.15) and lower modified Rankin Scale score on admission (OR = 0.308, 95%CI = 0.121–0.788). ConclusionOur study found that when the condition continued to deteriorate beyond two weeks with a lower mRS on admission and possibly less cranial nerve involvement, we may favor the diagnosis of pediatric A-CIDP rather than AIDP.

To Study the Utility of Systemic Immune Inflammatory Index (Sii) As A Marker in Determining the Outcomes in Patients Presenting to the Emergency Department with Acute Pancreatitis

To Study the Utility of Systemic Immune Inflammatory Index (Sii) As A Marker in Determining the Outcomes in Patients Presenting to the Emergency Department with Acute Pancreatitis

Prognostic Value of Systemic Immune-Inflammation Index and Systemic Inflammatory Response Index on Functional Status and Mortality in Patients with Critical Acute Ischemic Stroke.

Prognostic Value of Systemic Immune-Inflammation Index and Systemic Inflammatory Response Index on Functional Status and Mortality in Patients with Critical Acute Ischemic Stroke.

The Value of Systemic Inflammatory Indices for Predicting Early Postoperative Complications in Colorectal Cancer.

Background and Objectives: Systemic inflammatory indices have been largely investigated for their potential predictive value in multiple inflammatory, infectious, and oncological diseases; however, their value in colorectal cancer is still a subject of research. This study investigates the dynamics of pre- and postoperative values of NLR, PLR, SII, and MLR in patients with colorectal cancer and their predictive value for early postoperative outcomes. Materials and Methods: A 2-year retrospective cohort study was performed on 200 patients operated for colorectal adenocarcinoma. Systemic inflammatory indices were calculated based on complete blood count preoperatively and on the first and sixth postoperative days. The patients were divided into two groups based on their emergency or elective presentation. The pre- and postoperative values of serum inflammatory biomarkers and their correlations with postoperative outcomes were separately analyzed for the two study subgroups. Results: There were no significant differences in sex distribution, addressability, associated comorbidities, or types of surgery between the two groups. Patients in the emergency group presented higher preoperative and postoperative values of WBC, neutrophils, NLR, and SII compared to elective patients. The postsurgery hospital stays correlated well with pre- and postoperative day one and day six values of NLR (p = 0.001; 0.02; and <0.001), PLR (p < 0.001), SII (p = 0.037; <0.001; <0.001), and MLR (p = 0.002; p = 0.002; <0.001). In a multivariate analysis, reintervention risk was higher for emergency presentation and anemia, and lower in right colon cancer. In the emergency group, a multivariate model including age, MLR PO1, and pTNM stage was predictive for severe postoperative complications (AUC ROC 0.818). First-day postoperative inflammatory indices correlated well with sepsis, with the best predictive value being observed for the first postoperative day NLR (AUC 0.836; sensibility 88.8%; specificity 66.7%) and SII (AUC 0.796; sensitivity 66.6%; specificity 90%). For elective patients, the first postoperative day PLR and anemia were included in a multivariate model to predict Clavien-Dindo complications graded 3 or more (AUC ROC 0.818) and reintervention (AUC ROC 0.796). Conclusions: Easy-to-calculate and inexpensive systemic inflammatory biomarkers could be useful in predicting early postoperative outcomes in colorectal cancer for both elective and emergency surgery.

Hematologic Inflammation Indices for Differentiating between Brucella, Pyogenic, and Tuberculous Spondylodiscitis.

Infectious spondylodiscitis is a life-threatening disease and has some challenges in terms of diagnostic, differentiative, and therapeutic processes. Therefore, rapid and effective management of infectious spondylodiscitis is necessary. Hematological inflammation indices (HIIs) such as the neutrophil/lymphocyte ratio and aggregate index of systemic inflammation are derived from blood cells and used as diagnostic, prognostic, predictive, and treatment monitoring indicators. This study aimed to evaluate HIIs for discriminating between infectious spondylodiscitis pathogens. This retrospective comparative study included 116 patients with infectious spondylodiscitis. According to the responsible infectious pathogens, three types of infectious spondylodiscitis were defined: Brucella (n = 51), pyogenic (n = 43), and tuberculous (n = 22). The HIIs were derived from baseline complete blood counts. The three types of infectious spondylodiscitis were statistically compared for the HII scores. We found that the Brucella group had significantly lower HII scores than the pyogenic group (p < 0.05). Also, the Brucella group had significantly lower HII scores than the tuberculous group (p < 0.05). However, no significant differences were found between the pyogenic and tuberculous groups regarding HIIs (p > 0.05). In conclusion, the HIIs may be considered in the differentiation between Brucella spondylodiscitis and other types of infectious spondylodiscitis.

The relationship between severity of periapical periodontitis and next-generation systemic inflammatory biomarkers in children with early childhood caries

IntroductionEarly childhood caries (ECC) is closely associated with poor oral hygiene and cariogenic diet. Untreated ECC results in recurrent odontogenic infections and local and systemic consequences. In this study, our goal is to assess the relationship between the intensity of odontogenic infection-associated periapical periodontitis and new generation of systemic inflammatory markers (SII, NLR, PLR) in ECC-affected children.Material and method95 healthy patients in early childhood and demonstrating periapical periodontitis who underwent dental treatment under general anesthesia (GA) in the last two years were included in the present study. Their periapical statuses were dichotomized as mild and severe. Periapical Index (PAI) scores of 2 and 3 were regarded as “mild” whereas 4 and 5 as “severe”. Of the complete blood test (CBC) parameters, systemic inflammatory index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), neutrophilic granulocyte (NEUT), lymphocyte (LYMPH) and platelet (PLT) were recorded. The relationship between the degree of periapical pathology and the evaluated markers was assessed using Receiver Operating Characteristic (ROC) analysis.ResultsResults of the present study revealed that mean NLR, SII and NEUT index scores of the patients having severe periapical periodontitis were statistically higher than those of the ones with mild pathology (p < 0.05). A positive, statistically significant interrelationship was found between the number of teeth demonstrating a PAI score of severe periapical periodontitis with the signs of exacerbation (PAI 5) and NLR and SII values (p < 0.05). Area under the ROC curve (AUC) values for NLR and SII were determined as 66.8% and 66.6% respectively, indicating that classification performance was sufficient and statistically significant (p < 0.05).ConclusionPostponing the management of odontogenic infections will induce some complications such as, infective endocarditis and cause the systemic inflammatory process to continue by aggravating the systemic effects of local lesions. Thus, underlying mechanism should be eliminated and oral hygiene should be maintained, also novel biomarkers may be recommended to be used for the decision-making process for the teeth with persistent periapical lesions unresponsive to treatment.

Development and validation of nomograms for predicting cardiovascular disease risk in patients with prediabetes and diabetes

This study aimed to develop and validate distinct nomogram models for assessing CVD risk in individuals with prediabetes and diabetes. In a cross-sectional study design, we examined data from 2294 prediabetes and 1037 diabetics who participated in the National Health and Nutrition Examination Survey, which was conducted in the United States of America between 2007 and 2018. The dataset was randomly divided into training and validation cohorts at a ratio of 0.75–0.25. The Boruta feature selection method was used in the training cohort to identify optimal predictors for CVD diagnosis. A web-based dynamic nomogram was developed using the selected features, which were validated in the validation cohort. The Hosmer–Lemeshow test was performed to assess the nomogram's stability and performance. Receiver operating characteristics and calibration curves were used to assess the effectiveness of the nomogram. The clinical applicability of the nomogram was evaluated using decision curve analysis and clinical impact curves. In the prediabetes cohort, the CVD risk prediction nomogram included nine risk factors: age, smoking status, platelet/lymphocyte ratio, platelet count, white blood cell count, red cell distribution width, lactate dehydrogenase level, sleep disorder, and hypertension. In the diabetes cohort, the CVD risk prediction nomogram included eleven risk factors: age, material status, smoking status, systemic inflammatory response index, neutrophil-to-lymphocyte ratio, red cell distribution width, lactate dehydrogenase, high-density lipoprotein cholesterol, sleep disorder, hypertension, and physical activity. The nomogram models developed in this study have good predictive and discriminant utility for predicting CVD risk in patients with prediabetes and diabetes.

Evaluation of peripheral blood inflammation indexes as prognostic markers for colorectal cancer metastasis

The aim of this study was to evaluate the prognostic value of peripheral blood inflammation indexes in patients with metastatic Colorectal Cancer (CRC) and to establish a predictive scoring system. A total of 324 CRC patients diagnosed through pathological examination from January 2017 to July 2022 at the Third Affiliated Hospital of Kunming Medical University were included. The prognosis of patients with metastatic CRC was examined, and the correlation between IL-10 expression in pathological tissues and IL-10 expression in serum was analyzed. The results showed that the prognosis of CRC was poorer when metastasis occurred (P < 0.001). Additionally, IL-10 was highly expressed in the metastatic CRC group (P = 0.018), and the expression of IL-10 in pathological tissues of patients with metastatic CRC was positively correlated with the expression of IL-10 in serum (P = 0.037). The neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-white blood cell ratio (LWR), aggregate index of systemic inflammation (AISI), monocyte-to-lymphocyte ratio (MLR), systemic inflammatory response index (SIRI), prognostic nutritional index (PNI), advanced lung cancer inflammation index (ALI), and interleukin-10 (IL-10) were calculated and determined by ROC curve. The critical values were 2.135, 3.735, 353.745, 0.265, 1.025, 52.975, 353.635, and 11.25, respectively. Inflammatory indexes with an AUC of more than 0.6 were selected, and each colorectal cancer patient with any of these risk factors was assigned a score of one. The 324 patients were then divided into two groups: 0–4 for the low-risk group and 4–8 for the high-risk group. The occurrence of distant metastases in the two groups was statistically analyzed. The results showed that the OS and PFS of the low-risk group were significantly superior to those of the high-risk group (P < 0.05). These findings indicate that NLR, LWR, AISI, MLR, SIRI, PNI, ALI, and IL-10 are risk factors for distant metastasis in CRC patients. Therefore, the prediction scores of these indexes can be used to effectively evaluate the prognosis of patients with metastatic CRC.

Relationship Between Modified Systemic Immune- inflammatory Index and Contrast-Induced Nephropathy in Patients With ST-Segment Elevation Myocardial Infarction

Objective: Developing contrast induced nephropathy after primary PCI in patients with ST segment elevation myocardial infarction is a risky condition in terms of mortality and morbidity. Various studies have shown that the systemic inflammatory index predicts (SII) the development of CIN. Mean platelet volume (MPV) is an important indicator known to be associated with the platelet function and activation. Therefore, we revised SII and named it modified SII (mSII) by using NLR multiply MPV. Materials and Methods: This study includes patients who underwent pPCI due to STEMI in our cardiology department between February 2015 and February 2021. Modified SII was obtained by using MPV instead of platelet in the formula (mSII= NLR x MPV). Patients who underwent pPCI with STEMI were divided into two groups, those with CIN and those without CIN, and compared. Results: In the logistic regression analysis, it was observed that the mSII, NLR, GFR and contrast medium amount was independent predictor of CIN. The optimal threshold mSII for predicting CIN was &gt;42.5, with a 78.1% sensitivity and 52.3% specificity ([AUC]: 0.639, 95%CI: 0.602- 0.674, p&lt; 0.001). Pairwise comparison of ROC curves, it was observed that the predictive value of mSII for the development of CIN was better than NLR. (z-test = 3.144, P = 0.001) Conclusion: We think that mSII, which we have shown to be superior to SII in predicting the development of CIN and is very easy to calculate, is a parameter that can be considered in predicting the development of CIN after pPCI in STEMI patients.

Association between Hematological Parameters and Severity of COVID-19 disease.

This study aimed to determine the relationships between hematological parameters- hemoglobin, Total Leucocyte Counts (TLC), platelet counts, Absolute Neutrophil Counts (ANC), Absolute Lymphocyte Counts (ALC), Neutrophil Lymphocyte Ratio (NLR), Systemic Immune Inflammatory Index (SII), Neutrophil Monocyte Ratio (NMR), Platelet Lymphocyte Ratio (PLR) and the severity of COVID-19 disease and their use in predicting severity of COVID-19 disease. This was a prospective, observational, single-center study of 573 symptomatic adult inpatients of COVID 19 admitted to our tertiary care center. The above-mentioned hematological parameter levels were noted and compared between the two categories of COVID-19 disease, namely non-severe and severe COVID-19 using logistic regression methods. Their cut-off values were detected using the ROC curve. The median TLC, ANC, NLR, SII, NMR, PLR were notably higher in patients with severe COVID-19 than in those with non-severe COVID-19. Logistic regression analysis showed that NMR (OR=1.029, p=0.006) and ALC (OR=0.999, p=0.002) were statistically significant independent predictors of COVID-19 severity. The hematological parameters mentioned, can be used for predicting severe COVID-19 disease at admission. ALC and NMR levels could be used as hematological markers to predict severity of COVID-19 in adult patients with their cut off values being < 1105 cells/cubic millimeter and > 10.434 respectively.

New Immunological Indexes for the Effect of Systemic Inflammation on Oocyte and Embryo Development in Women With Unexplained Infertility: Systemic Immune Response Index and Pan-Immune-Inflammation Value.

Predicting the impact of systemic inflammation on oocyte and embryonic development in unexplained infertile women using the new immunological indexes. This retrospective cohort study was conducted using the records of the In Vitro Fertilization Department of Ankara Gülhane Training and Research Hospital. After reviewing the records of patients who had undergone in vitro fertilization (IVF) for unexplained infertility (UI) and excluding all known factors that could cause systemic immune inflammation, the systemic immune response index (SIRI), and pan-immune score were calculated from the pre-treatment hemogram parameters between the embryo arrest (EA) group and the embryo transfer group. It was investigated whether there was a statistical difference between the two groups and whether an SIRI value affecting embryo quality was found. A receiver operating characteristic (ROC) curve analysis was performed to determine the optimal cut-off values for inflammatory markers to predict EA. The 108 EA group (embryos that were arrested during their development and could not be transferred) and the 140 embryo transfer group showed statistically significant differences in the parameters of systemic inflammatory index (SII), SIRI, pan-immune inflammation value (PIV), and neutrophil/lymphocyte ratio (NLR) (p < 0.05). These inflammatory parameters, which were examined before ovulation induction, also correlated positively with the required total dose of gonadotropin and negatively with the ovarian sensitivity index (OSI). SII, SIRI, PIV, and NLR have specific cut-off values with ROC analysis and determine the effect of the inflammatory status of the environment in which the oocyte develops on EA (p < 0.005). In women with UI, high levels of systemic immune inflammation have a negative impact on oocyte and embryo development, and treatments to suppress inflammation may improve IVF success.

Assessment of health impacts in retired antisera-producing horses: Blood biochemistry and serum amyloid A analysis.

Horses used for antisera production are repeatedly hyperimmunized to produce high levels of specific antibodies. This prolonged process can lead to various health issues, including amyloidosis, which involves the accumulation of amyloid proteins in organs and tissues, potentially causing organ dysfunction and failure. These horses are often retired when they no longer produce adequate antibody levels. This study aimed to evaluate the impact of prolonged antisera production on the health of retired horses by examining their blood biochemistry and serum amyloid A (SAA) levels, which are indicators of systemic inflammation and organ damage. Blood samples were collected from 12 horses for this study. Nine horses were retired antisera-producing horses that had been discontinued for 2 years, while three healthy non-antisera-producing horses were used as controls. These twelve horses were divided into four groups based on the duration of their active period as antisera producers (never been used, 2-3 years, 4-5 years, and 6-7 years). We measured key blood biochemistry parameters and SAA levels to evaluate the health status of the horses. Total protein, fibrinogen, and globulin levels were elevated, whereas other parameters remained normal. The findings indicate that despite normal SAA levels, the horses exhibited signs of ongoing health issues related to their previous use in antisera production, such as increased total plasma protein, fibrinogen, and globulin levels, as well as the presence of amyloid deposits in vital organs such as the liver and kidneys, as observed in post-mortem examinations. Despite normal SAA levels, retired antisera-producing horses showed elevated total protein, fibrinogen, and globulin levels, indicating ongoing health issues.

Inflammatory indices-Systemic Immune-Inflammation Index (SII) and Systemic Inflammatory Response Index (SIRI)-during Pregnancy and Associations with Gestational Diabetes Mellitus.

Gestational diabetes mellitus (GDM) is a prevalent complication during pregnancy. This study aimed to explore the associations between inflammatory indices during pregnancy and the development of GDM. Data from the Fujian Birth Cohort Study between March 2019 and December 2022 were used. Participants who delivered a live-born singleton were included and categorized into GDM and non-GDM groups. Two inflammatory indices, the systemic immune-inflammation index (SII) and systemic inflammatory response index (SIRI), were calculated for each trimester of pregnancy via hematological parameters from complete blood count tests. The distributions of inflammatory indicators across trimesters were compared between the GDM and non-GDM groups. Additionally, multivariable logistic regression models were employed to investigate the associations between inflammatory indices and the incidence of GDM. A total of 17297 participants were included, 21.2% of whom were diagnosed with GDM. In the first trimester, the median SIIs for the GDM and non-GDM groups were 817.7×109/L and 756.9×109/L, respectively, whereas the median SIRIs were 1.6×109/L and 1.5×109/L, respectively. In both groups, the SII increased to its peak in the second trimester before declining, whereas the SIRI progressively increased throughout pregnancy. The SII and SIRI were greater in the GDM group than in the non-GDM group during the first two trimesters but lower in the third trimester. Nonlinear positive associations between first-trimester SII and SIRI levels and GDM were observed, with extreme quartile odds ratios of 1.32 (95% CI: 1.19, 1.48) and 1.39 (95% CI: 1.24, 1.55), respectively. The SII and SIRI increased and reached their peak values in the second and third trimesters of pregnancy, respectively. Elevated levels of the SII and SIRI in early pregnancy were linked to an increased risk of GDM, suggesting their potential utility as screening tools for GDM.

Correlation study of multiple inflammatory indices and vertebral compression fracture: A cross-sectional study

BackgroundVertebral compression fractures (VCFs) are prevalent in patients with osteoporosis and pose significant health risks. Although chronic low-grade inflammation plays a crucial role in the pathogenesis of osteoporosis, the relationship between various inflammatory indices and the occurrence of fractures remains unclear. ObjectiveThis study aims to evaluate the correlation between multiple inflammatory indices, neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammatory index (SII), and systemic inflammatory response index (SIRI), and VCFs, to explore the significance of these indices in clinical application. MethodsClinical data of 310 patients diagnosed with osteoporosis from November 2020 to June 2023 in the hospital were collected. The general conditions between fracture and non-fracture groups were described. Spearman analysis and binary logistic regression analysis were used to assess the relationship between inflammatory indices and VCFs. Receiver operating characteristic curve was used to evaluate the diagnostic efficacy of these inflammatory indices for VCFs. ResultsVCFs were diagnosed in 43.55 % of patients with osteoporosis. NLR(ρ = 0.169, P=0.003), MLR(ρ = 0.293, P<0.001), SII(ρ = 0.126, P=0.027), and SIRI(ρ = 0.273, P<0.001) were positively correlated with the occurrence of VCFs. NLR(OR=1.480, 95 %CI 1.114 ∼ 1.966, P=0.007), MLR(multiplied by 100, OR=1.048, 95 %CI 1.011 ∼ 1.087, P=0.011), and SIRI(OR=3.327, 95 %CI 1.510 ∼ 7.330, P=0.003) were independent risk factors for VCFs, hip bone mineral density (BMD) (OR=0.011, 95 %CI 0.001 ∼ 0.151, P=0.001) was an independent protective factor for VCFs. MLR(AUC 0.671, 95 % CI=0.610 ∼ 0.732, P <0.001) had relatively high clinical diagnostic efficacy. ConclusionThe neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and systemic inflammatory response index (SIRI) are independent risk factors for vertebral compression fractures.

1163P Prognostic value of systemic inflammatory index (SII) in neuroendocrine tumors (NETs) treated with peptide receptor radionuclide therapy (PRRT)

1163P Prognostic value of systemic inflammatory index (SII) in neuroendocrine tumors (NETs) treated with peptide receptor radionuclide therapy (PRRT)