Reference values for white blood-cell-based inflammatory markers in the Rotterdam Study: a population-based prospective cohort study

Development and validation of the nomogram of high fascial compartment pressure with pilon fracture

PURPOSE

High Fascial Compartment Pressure (HCP) is one of the most common complications in ankle fractures. This study aimed to investigate the incidence of HCP in pilon fracture and analyze the risk factors of HCP in order to closely monitor its further development into Acute Compartment Syndrome. A nomogram is constructed and validated to predict HCP in patients with pilon fracture.

METHODS

We collected information on 1,863 patients with pilon fracture in the 3rd Hospital of Hebei Medical University Hospital from January 2019 to March 2024. Patients with HCP were assigned to the HCP group and those without HCP to the non-HCP group. The inpatient medical record system was inquired for data collection, including demographics, comorbidities, injury types, and laboratory biomarkers. Variables with a significance level of P < 0.05 in the univariate analysis were included in the multivariate logistic regression analysis. The backward stepwise regression method was applied to identify independent risk factors associated with HCP. The selected predictors were then entered into R software for further analysis, and Nomogram construction.

RESULTS

The rate of HCP was 11.57%. Several predictors of HCP were found, including Body Mass Index (BMI) (p<0.001), Deep Vein Thrombosis (p < 0.001), occurrence of Fracture Blister (FB) (p < 0.001), use of Dehydrating Agent (p < 0.001), duration of limb immobilization (p < 0.001),and Systemic Immune-inflammation Index (SII) (p < 0.001). In addition, BMI (p < 0.001, OR 1.52, 95% CI 1.35 to 1.71), DVT (p < 0.001, OR 4.35, 95% CI 2.51 to 7.52), duration of limb immobilization (p < 0.01, OR 1.66, 95%CI 1.25 to 2.20) and SII (p < 0.01, OR 1.00, 95%CI 1.00 to 1.00) were correlated with increased HCP risk. Meanwhile, FB (p < 0.001, OR 0.23, 95% CI 0.13 to 0.39) and Dehydrating Agent (p < 0.001, OR 0.10, 95% CI 0.06 to 0.19) were associated with decreased HCP risk. The nomogram was established based on six predictors independently related to HCP.

CONCLUSIONS

Our investigation has shown that, compared with tibial diaphyseal fractures, pilon fractures are more prone to HCP because of their high energy injury characteristics. This research also shows BMI, DVT, occurrence of FB, use of Dehydrating Agent, duration of limb immobilization, and SII are independent risk factors for HCP in patients with pilon fracture. We have also devised a nomogram grounded in these identified predictors. In particular, this study found for the first time that SII is an independent risk factor for HCP, which provides a basis for clinical and basic science research on fascial immunology in the future.

Systemic Immune-Inflammation Index (SII) and Neutrophil-to-Lymphocyte Ratio (NLR): A Strong Predictor of Disease Severity in Large-Artery Atherosclerosis (LAA) Stroke Patients

Background

Systemic immune-inflammation index (SII) and neutrophil-to-lymphocyte ratio (NLR) are novel inflammatory markers based on neutrophil, platelet and lymphocyte counts. Atherosclerosis is a chronic inflammatory vascular disease. This study aimed to verify the predictive value of the clinical parameters such as systemic immune-inflammation index (SII) and neutrophil-to-lymphocyte ratio (NLR) for the severity in Large Artery Atherosclerosis (LAA) stroke patients.

Methods

The SII is defined as platelet × (neutrophil count/lymphocyte count), the NLR is defined as neutrophil count/lymphocyte count. Univariate logistic regression was used to analyze the association between SII and NLR and NIHSS score in patients with LAA stroke. Multiple logistic regression was used to analyze the risk factors for the severity of LAA stroke. We plotted receiver operating characteristic curves to determine the diagnostic role of SII and NLR in differentiating stroke disease severity.

Results

We included 283 LAA stroke patients, the SII and NLR in the moderate-to-severe stroke group were significantly higher than the mild stroke group. Multiple logistic regression analysis showed that SII (OR 1.051 95% CI (1.035-1.066), P < 0.001), NLR (OR 1.077,95% CI (1.032-1.123), P < 0.001) were significantly associated with stroke severity. The SII values under the receiver operating characteristic curve (0.701, 95% CI (0.649-0.791, P < 0.001, cut-off value 912.97) and NLR values under the receiver operating characteristic curve (0.604,5% CI (0.519-0.689), P < 0.01, cut-off value 1.461), and SII values had high discrimination ability. Both SII and NLR had high diagnostic and predictive value for stroke severity, and SII was better than NLR.

Conclusion

The higher SII and NLR, the more severity in LAA stroke patients. SII and NLR are independent risk factors for LAA stroke, and they can also effectively predict stroke severity; moreover, SII has a higher diagnostic efficacy than NLR. However, multicenter studies with large sample size are still needed to confirm this conclusion.

Relationship between systemic immune-inflammation index and depression among individuals with and without cardiovascular disease

OBJECTIVE

Depression is a common comorbidity in cardiovascular disease (CVD), and both conditions are associated with chronic inflammation. The systemic immune-inflammation index (SII) has emerged as a promising marker of systemic inflammation, but its role in association with depressive symptoms, particularly in the context of CVD, remains unclear. This study aims to investigate the association of SII with depressive symptoms in individuals with and without CVD using cross-sectional data from NHANES (2005-2016).

METHODS

A total of 29,479 participants from the National Health and Nutrition Examination Survey (NHANES) 2005-2016 waves were included. Depressive symptoms were assessed through Patient's Health Questionnaire (PHQ-9). SII was calculated as the platelet count × neutrophil count/lymphocyte count. In order to determine the relationships between SII and depressive symptoms in participants with and without CVD, binary logistic regression model and smooth curve fitting were used. We also performed sensitivity analyses and subgroup analysis.

RESULTS

The total prevalence of depressive symptoms was 8.73% among the 29,479 participants analyzed. After adjusting for confounding factors, a higher SII was significantly associated with increased depressive symptoms in the total population (OR per SD increase: 1.101, 95% CI: 1.060-1.144, P < 0.0001). This association was stronger in participants without CVD (OR: 1.121, 95% CI: 1.073-1.172, P < 0.0001) compared to those with CVD (OR: 1.055, 95% CI: 0.973-1.144, P = 0.19571). Participants in the highest SII tertile had a significantly higher risk of depressive symptoms compared to those in the lowest tertile, particularly in the non-CVD group (OR: 1.161, 95% CI: 1.026-1.313, P = 0.01765).

CONCLUSION

The SII is independently associated with an increased risk of depressive symptoms, particularly in individuals without CVD. These findings suggest that the SII may serve as a valuable predictor of depressive symptoms in the general population, with potential implications for early screening and intervention strategies. Further research is needed to elucidate the mechanisms underlying this association and to explore the clinical utility of SII in depressive symptoms assessment, especially in the context of cardiovascular health.

From Cell Interactions to Bedside Practice: Complete Blood Count-Derived Biomarkers with Diagnostic and Prognostic Potential in Venous Thromboembolism

Venous thromboembolism (VTE), encompassing deep vein thrombosis and pulmonary embolism, is a significant burden on health and economic systems worldwide. Improved VTE management calls for the integration of biomarkers into diagnostic algorithms and scoring systems for risk assessment, possible complications, and mortality. This literature review discusses novel biomarkers with potential diagnostic and prognostic value in personalized VTE management. The pathophysiology of thrombosis starts with cell interactions in the vascular environment and continues with more complex, recently discussed processes such as immunothrombosis and thromboinflammation. Their clinical applicability is in the use of complete blood count (CBC)-derived immuno-inflammatory indices as attractive, readily available biomarkers that reflect pro-thrombotic states. Indices such as the neutrophil-to-lymphocyte ratio (NLR = neutrophil count divided by lymphocyte count), platelet-to-lymphocyte ratio (PLR = platelet count divided by lymphocyte count), and systemic immune-inflammation index (SII = NLR multiplied by platelet count) have demonstrated predictive value for thromboembolic events. Nevertheless, confounding data regarding cutoffs that may be implemented in clinical practice limit their applicability. This literature review aims to investigate neutrophil and platelet interactions as key drivers of immunothrombosis and thromboinflammation while summarizing the relevant research on the corresponding CBC-derived biomarkers, as well as their potential utility in day-to-day clinical practice.

The role of inflammation biomarkers in carotid artery stenosis procedures

BACKGROUND

Carotid 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 postprocedure.

METHODS

A retrospective analysis was conducted on the clinical records of patients with carotid stenosis who underwent CEA or CAS over 1 year at the vascular surgery departments of an interuniversity center. Eligible asymptomatic patients with carotid stenosis (70%-99%) underwent revascularization. Differences between preprocedural and early postprocedural inflammation indices were assessed, and restenosis risk was evaluated using receiver operating curve analysis and logistic regression.

RESULTS

The 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%). Preintervention NLR (odds ratio {OR} [95% confidence interval {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.

CONCLUSIONS

The study provided a predictive model for restenosis, identifying preintervention NLR and SIRI as independent predictors of restenosis at 12-month follow-up.

Role of a new inflammation predictor in predicting recurrence of atrial fibrillation after radiofrequency catheter ablation

BACKGROUND

Radiofrequency catheter ablation (RFCA) has become an important strategy for treating atrial fibrillation (AF), and postoperative recurrence represents a significant and actively discussed clinical concern. The recurrence after RFCA is considered closely related to inflammation. Systemic immune inflammation index (SII) is a novel inflammation predictor based on neutrophils, platelets, and lymphocytes, and is considered a biomarker that comprehensively reflects the immune inflammatory status of the body.

AIM

To explore the predictive effect of the SII on AF recurrence after RFCA and its predictive value in combination with the existing APPLE score for AF recurrence after RFCA in patients with non-valvular AF (NVAF).

METHODS

We retrospectively included 457 patients with NVAF first receiving RFCA and classified them into the recurrent or non-recurrent group. We also investigated the predictive role of SII on AF recurrence following RFCA. Finally, we explored and compared the additional predictive value of the SII after combining with the APPLE score.

RESULTS

After 12 months of follow-up, 113 (24.7%) patients experienced recurrence. High SII has been demonstrated to be an independent predictor for postoperative AF recurrence. Receiver operating characteristic and decision curve analysis (DCA), as well as net reclassification improvement (NRI) and integrated discrimination improvement (IDI) results, showed that SII combined with the APPLE score had higher predictive efficiency than using the SII or APPLE score alone. The area under the curve of the combined model (0.662, 95% confidence interval: 0.602-0.722) significantly increased compared with that of the SII and APPLE scores alone (P < 0.001). The combined model resulted in an NRI of 29.6% and 34.1% and IDI of 4.9% and 3.5% in predicting AF recurrence compared with the SII and APPLE scores alone, respectively (all P < 0.001). The SII, APPLE score, and their combination demonstrated greater clinical utility than did the treat-all and treat-none strategies over the 20-80% risk threshold according to the DCA.

CONCLUSION

The SII was a predictor of recurrence after RFCA of AF. Moreover, the SII enhanced the predictability of the APPLE score for post-RFCA AF recurrence, providing valuable insights for physicians to optimise patient selection and develop personalised treatment plans.

Association of innate versus specific immunity with heart failure incidence: a prospective study

BACKGROUND

Immune disorders are key heart failure (HF) triggers, but little is known about whether the status of immunity affects the incidence of HF. To explore this, we used blood cell counts and derived ratios to investigate the association between immunity status markers and HF incidence.

METHODS

The number and proportion of peripheral blood leucocytes in a physiological state are related to the body's immune status. Neutrophils, monocytes, SII (systemic immune-inflammatory index), NLR (neutrophil-to-lymphocyte ratio), and PLR (platelet-to-lymphocyte ratio) serve as innate immunity status markers, while lymphocytes and LMR (lymphocyte-to-monocyte ratio) serve as specific immunity status markers. 330 362 UK Biobank (UKB) participants were finally examined. Cox proportional hazard models were used to explore the relationship between immunity status markers and HF incidence. Flexible parametric survival models were used to capture time-varying relationships between blood cell ratios and HRs for HF. Subgroup analyses were conducted by age, sex, and body mass index. Finally, sensitivity analyses were performed to validate the results.

RESULTS

During a median follow-up of 14.1 years, 9611 (2.9%) participants developed HF. Neutrophils, monocytes, SII, and NLR were positively associated with HF incidence, with fully adjusted per SD increment HR (95% CI) of 1.20 (1.17 to 1.22), 1.09 (1.07 to 1.12), 1.12 (1.10 to 1.14), and 1.16 (1.14 to 1.18), respectively. Platelets, lymphocytes, and LMR were inversely correlated with HF incidence, with fully adjusted per SD increment HR (95% CI) of 0.97 (0.95 to 1.00), 0.97 (0.95 to 0.99), and 0.90 (0.88 to 0.92), respectively.

CONCLUSIONS

The innate immunity status markers were positively associated with HF incidence, while specific immunity status markers exhibited an inverse association, offering novel insights for HF prediction and intervention.

Correlations between frailty index and inflammatory markers derived from blood cell count in the United States

BACKGROUND

Complete blood cell count (CBC)-derived inflammatory biomarkers are crucial indicators of adverse outcomes and possess predictive value for a wide range of diseases. The objective of this study was to evaluate the links between CBC-derived inflammatory biomarkers and frailty index.

METHODS

Information was gathered from the National Health and Nutrition Examination Survey (NHANES) spanning the years 1999 to 2016. The research investigated the correlation between inflammatory biomarkers derived from CBC, including the neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), systemic inflammatory response index (SIRI), and systemic immune-inflammation index (SII), and Rockwood's frailty index, using logistic regression analyses.

RESULTS

In total, the cross-sectional study involved 13,507 U.S. adults aged 50 and older, with 3,729 individuals (24%) meeting the criteria for frailty. After adjusting for confounding factors, elevated levels of logNLR (odds ratio [OR] 3.45, 95% confidence interval [CI] 2.52-4.73), logMLR (OR 3.58, 95% CI 2.44-5.25), logSIRI (OR 2.77, 95% CI 2.17-3.55), and logSII (OR 1.89, 95% CI 1.44-2.48) were significantly associated with an increased frailty index in the entire study population. We also found that frailty index and inflammatory biomarkers derived from CBC have a non-linear relationship by restricted cubic spline.

CONCLUSIONS

Our findings indicate a correlation between frailty index and NLR, MLR, SIRI, and SII among elderly adults. Considering their wide accessibility in both clinical and laboratory practice, these biomarkers may be recommended as potential indicators for the development of frailty.

Complete Blood Count Ratios Predict Adverse Events After Total Joint Arthroplasty

INTRODUCTION

Complete blood count-based ratios (CBRs), including neutrophil-lymphocyte ratio (NLR), monocyte-lymphocyte ratio (MLR), platelet-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) are biomarkers associated with the proinflammatory surgical stress response. This study sought to determine whether preoperative CBRs are associated with postoperative complications, protracted hospital length of stay (LOS), and mortality after total joint arthroplasty, as well as establish threshold values for these outcomes for use in future investigations.

METHODS

The Premier Healthcare Database was retrospectively queried for adult patients who underwent primary elective total hip arthroplasty or total knee arthroplasty (TKA). Approximate cut-point values for CBRs were identified by bootstrap simulation using the Youden index. Multivariable adjusted restricted cubic spline models using the predicted cut-point value as the threshold for odds of outcomes were created to identify a final threshold value associated with increased adjusted odds ratio (aOR) of study outcomes.

RESULTS

A total of 32,868 total joint arthroplasties (THA: 12,807, TKA: 20,061) were identified. All measures predicted odds of aggregate postoperative complications (THA: NLR TV: 4.60 [aOR = 2.35], PLR TV: 163.4 [aOR = 1.32], MLR TV: 0.40 [aOR = 2.02], SII TV: 977.00 [aOR = 1.54]; TKA: NLR TV: 3.7 [aOR = 1.69], MLR TV: 0.41 [aOR = 1.62], PLR TV: 205.10 [aOR = 1.43], SII TV: 1,013.10 [aOR = 1.62]; all P < 0.05). A MLR > 0.40 [aOR = 1.54] P < 0.001) was associated with LOS ≥3 days after total hip arthroplasty while an NLR > 13.1 [aOR = 1.38] and an MLR > 0.41[aOR = 1.29] were associated with LOS ≥3 days after total knee arthroplasty (both P < 0.001). No association between inflammatory markers and inpatient mortality was observed.

CONCLUSION

Given CBRs' ability to both predict outcomes and identify patients with a proinflammatory phenotype, the findings of this study provide a framework for future investigations aimed at identifying and treating high-risk patients with immune-modulating therapies. Continued work to validate these findings by applying TVs to interventional clinical trials is needed before wide clinical adoption.

Neutrophil/Lymphocyte Ratio and All-Cause Mortality in Diabetic Kidney Disease: A Retrospective Cohort Study

Background

Diabetic kidney disease (DKD) is a significant contributor to the development of end-stage renal disease and cardiovascular disease (CVD), with inflammation being a critical factor in its pathogenesis. The aim of this study is to examine the relationship between the neutrophil-to-lymphocyte ratio (NLR), a new inflammatory marker, and mortality from all causes and CVD in patients with DKD.

Methods

This multicenter, retrospective cohort study utilized data from the China Renal Data System (CRDS) on patients with DKD hospitalized between January 1, 2000, and February 28, 2023. The patients' demographic information, along with their initial clinical and laboratory results, were collected and recorded. Follow-up continued until July 1, 2023, and patients were categorized into two groups based on the median baseline NLR. The Cox proportional hazards regression, Restricted cubic spline (RCS) curves, The Kaplan-Meier curve, Fine-Gray competing risk model, Time-dependent ROC and subgroup analysis were used to analyze the association between all-cause mortality and CVD mortality in patients having DKD with varying NLR.

Results

This study included 11,427 patients who had been clinically diagnosed with DKD. Baseline NLR was associated with C-reactive protein, procalcitonin, high-sensitivity C-reactive protein, plasma D-dimer, cystatin C, creatinine, urea nitrogen, brain natriuretic peptide, and eGFR. We selected the demographic characteristics, differential factors from univariate analysis, and clinically DKD-related laboratory indicators as covariates for Cox analysis. Results indicated that NLR was an independent risk factor for both all-cause and CVD mortality after adjusting for the relevant variables. The risk of all-cause death and CVD death in the high NLR group was 4.688 and 2.141 times higher, respectively, compared to the low NLR group (HR = 4.688, 95% CI 1.153-19.061, P = 0.031; HR = 2.141, 95% CI 1.257-3.644, P = 0.005). However, potential confounding factors and biases, such as unmeasured variables and the influence of treatment interventions, could not be fully accounted for.

Conclusion

NLR can independently predict the risk of all-cause and CVD mortality in patients with DKD. Identifying individuals with a high NLR and providing further intervention could be crucial measures to reduce both all-cause and CVD mortality. However, the results should be interpreted with caution due to the study's limitations.

Exploring the predictive factors in the gastrointestinal involvement of patients with immunoglobulin A vasculitis

BACKGROUND

Immunoglobulin A vasculitis (IgAV), the most common systemic vasculitis in children, typically presents with gastrointestinal (GI) symptoms in about half of cases. This study aimed to analyze the clinical and laboratory findings of patients with IgAV regarding GI involvement.

METHODS

We compared the GI involvement data of the patients diagnosed with IgAV.

RESULTS

Of the 210 patients (60.5% female and 39.5% male), 101 had GI involvement, with abdominal pain being the predominant symptom (n=98). White blood cell, neutrophil, monocyte, and platelet counts, C-reactive protein, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI) were significantly elevated in patients with GI involvement (p<0.001, p<0.001, p=0.01, p=0.005, p=0.002, p<0.001, p=0.03, p=0.001, p<0.001, p<0.001, respectively). The cutoff values for SII (>1035.7), SIRI (>1.65), NLR (>2.73), and MLR (>0.28) were determined, yielding respective sensitivities of 46%, 59%, 47%, and 53%, specificities of 83.1%, 69.1%, 81.3%, and 71.9%. Corresponding areas under the curve were 0.658, 0.668, 0.649, and 0.634, respectively (all p<0.001).

CONCLUSION

Although IgAV is a self-limiting disease, GI involvement can lead to serious consequences. Systemic inflammatory indices such as SII and SIRI may be indicative in identifying patients with GI involvement.

Lymphocyte-based inflammatory markers: Novel predictors of significant coronary artery disease✰,✰✰

BACKGROUND

Lymphocyte-based inflammatory indices such as monocyte-to-lymphocyte ratio (MLR) have long been recognized as reliable coronary artery disease (CAD) predictors. More recently, novel indices like the Systemic Inflammatory Index (SII), Systemic Inflammatory Response Index (SIRI), and Systemic Immune-Inflammation Index (SIIRI) have emerged. These newer markers offer a more comprehensive assessment of inflammation by integrating multiple immune cell types, potentially enhancing the prediction of cardiovascular outcomes.

OBJECTIVES

We evaluated the predictive value of novel inflammatory markers in estimating the pretest probability of severe CAD in high-risk patients.

METHODS

We enrolled consecutive patients undergoing diagnostic coronary angiography in a single tertiary care hospital. Inflammatory markers were calculated based on pre-procedural complete blood count laboratory measurements. Severe CAD was defined as critical (>70 %) and actionable narrowing of a primary coronary artery. Classification performance was assessed using multivariate logistic regression.

RESULTS

The study sample included 363 patients (age 58.9± 11 years, 44.9 % females, 30 % severe CAD). In univariate analysis, MLR, SIRI, and SIIRI were significant predictors of severe CAD, with age- and sex-adjusted OR of 1.98 [1.25-3.14], 1.79 [1.24-2.59], and 1.63 [1.11-2.38], respectively. In multivariate analysis, SIRI remained an independent predictor of severe CAD (OR = 1.98, 95 % CI 1.13-3.46, p = 0.02).

CONCLUSION

Our results suggest that novel inflammatory markers derived from routine blood tests are predictive of severe CAD in high-risk patients. Such simple, practical, and cost-effective inflammatory markers may enhance cardiac risk stratification and prediction of severe CAD.

Validation of point-of-care tests used at in-home assessments among older adults in primary care

BACKGROUND

Diagnosing acute disease in older adults is challenged by vague and atypical symptoms. Point-of-care tests (POCTs) at home may improve diagnostics and clinical decision-making. We compared various POCT devices to routine testing in acutely ill older adults to assess their clinical reliability.

METHODS

We enrolled participants aged 65+ years requiring acute in-home assessment with signs of acute conditions. Venous and capillary blood samples were collected and analysed on-site using POCT, while identical samples were transported and analysed in a routine laboratory. Agreement between POCT and laboratory testing was assessed using scatter plots with linear regression, Pearson's correlation coefficient (PCC), limits of agreement, and Bland-Altman plots. Misclassification rates were calculated based on clinically meaningful cut-offs to assess POCT's clinical reliability.

RESULTS

We included 100 participants with a mean age of 81.6 (±8.4 SD) years. Strong correlation was found between POCT and routine measurements (PCC: 0.76-0.94 for capillary samples and 0.85-0.98 for venous samples). Venous samples showed higher PCC than capillary, except for neutrophils (0.93 for capillary, 0.89 for venous). Misclassification occurred in capillary samples for haemoglobin (10/62) and total WBC (6/50), while in venous samples, misclassification was observed for haemoglobin (4/54), total WBC (4/50), K+ (5/47), urea (5/47), and creatinine (3/42). No misclassification was observed for Na+.

CONCLUSION

POCT provides acceptable, clinically reliable measurements in acutely ill older adults, potentially enhancing diagnostics and treatments during in-home assessment. Venous blood testing is preferable due to a lower misclassification rate, but capillary blood remains a pragmatic alternative, despite higher variation and inaccuracy.

Association between neutrophil-percentage-to-albumin ratio (NPAR) and metabolic syndrome risk: insights from a large US population-based study

Metabolic syndrome (MetS) is a cluster of conditions that increase the risk of cardiovascular disease and diabetes. This study aimed to investigate the association between Neutrophil-Percentage-to-Albumin Ratio (NPAR) and MetS in a large, nationally representative US population. We analyzed data from 28,178 participants in the National Health and Nutrition Examination Survey (NHANES) 2005-2018. Logistic regression models were used to evaluate the association between NPAR and MetS. Restricted cubic spline (RCS) models were employed to assess the dose-response relationship. Mediation analyses were conducted to explore potential mediating effects of serum uric acid and triglyceride-glucose (TyG) index. After adjusting for confounders, participants in the highest NPAR quartile had a 14% higher risk of MetS compared to those in the lowest quartile (OR 1.14, 95%CI 1.03-1.27, P = 0.010). RCS models revealed a monotonic increasing trend between NPAR and MetS risk (P for overall association = 0.002). Mediation analyses showed that serum uric acid and TyG index mediated 14.93% and 29.45% of the total effect of NPAR on MetS, respectively. Subgroup analyses indicated that the positive association between NPAR and MetS was more pronounced in Mexican Americans, individuals aged 20-65 years, those with lower income, males, current smokers, and moderate drinkers. Higher NPAR is associated with increased risk of MetS in the US adult population. This association is partially mediated by serum uric acid and TyG index. These findings suggest that NPAR may serve as a novel biomarker for MetS risk assessment and provide insights into potential mechanisms linking inflammation and metabolic disorders.

Blood Whispers: Exploring Hematologic Indicators for Diagnosing and Predicting Severity of Vogt-Koyanagi-Harada Syndrome

PURPOSE

To investigate the association of clinical findings and indocyanine green angiography (ICGA) score with inflammatory markers derived from complete blood count (CBC) parameters in patients with Vogt-Koyanagi-Harada (VKH) to determine the diagnostic and predictive role.

METHODS

Demographic characteristics, presenting complaints, ocular findings, optical coherence tomography findings, ICGA scores and best corrected visual acuity were recorded in treatment-naive VKH patients at presentation. Patients were divided into two groups as acute stage and chronic recurrent stage. CBC parameters were noted in patients at presentation and healthy controls (HC, n = 25). Neutrophil-lymphocyte-platelet-monocyte counts, neutrophil/lymphocyte (NLR), platelet/lymphocyte (PLR), monocyte/lymphocyte and systemic immune-inflammation index (SII) were recorded. The association between these markers and clinical severity were evaluated.

RESULTS

Thirty-two patients with VKH (23 females/9 males) with a mean age of 34.1 ± 14.6 years were included in the study. There was an increase in neutrophil count, NLR and SII in patients with VKH compared to HC (p < 0.001). The cut-off values for these three parameters were 4.37, 2.24 and 562.35, respectively. Twenty-six patients presented in the acute stage and six patients presented in the chronic recurrent stage. Choroidal thickness, early stromal hyperfluorescence and total ICGA scores were higher in patients presenting in the acute stage (p < 0.001, 0.001 and 0.025, respectively). Patients with higher disease severity at presentation were treated earlier. Early stromal vessel hyperfluorescence and choroidal vasculitis scores were correlated with decreased lymphocyte count, increased NLR, PLR and SII (p < 0.05).

CONCLUSION

CBC-derived inflammatory parameters indicate that VKH is a systemic inflammation. These parameters can be used in the diagnosis and determination of disease severity of VKH.

Interaction between the systemic immune-inflammation index and trouble sleeping in nonalcoholic fatty liver disease: a cross-sectional study of the NHANES 2005-2018 data

BACKGROUND

The systemic immune-inflammation index (SII) and trouble sleeping are independent risk factors for nonalcoholic fatty liver disease (NAFLD). Nevertheless, studies investigating the combined effects of the SII and troubled sleeping on NAFLD are lacking. In this study, we investigated the independent relationships and interactions between trouble sleeping and the SII among patients with NAFLD.

METHODS

Data from seven survey cycles of the National Health and Nutrition Examination Survey (NHANES) (2005-2018) were analyzed. The SII was obtained by counting platelets, neutrophils, and lymphocytes. NAFLD was diagnosed using the US fatty liver index. Trouble sleeping was diagnosed using a sleep disorder questionnaire. The correlation between trouble sleeping and the SII in NAFLD was investigated using multiple regression analysis, subgroup stratification, interaction tests, and restricted cubic spline, and the presence or absence of additive or multiplicative interactions was determined. Additionally, mediation analyses were performed to explore the role of the SII in mediating the effects of trouble sleeping on NAFLD.

RESULTS

The survey included 10 963 participants. Multivariate logistic regression revealed that SII (OR: 1.21, 95% CI 1.08-1.35) and trouble sleeping (OR: 1.24, 95% CI 1.05-1.47) were positively correlated with NAFLD. For NAFLD, an additive but not multiplicative interaction was noted between the SII and trouble sleeping. The SII partially mediated the association between trouble sleeping and NAFLD, accounting for approximately 3.11% of the total effect (95% CI 0.01-0.05).

CONCLUSION

The SII and trouble sleeping were independently correlated with NAFLD risk. Furthermore, a combined effect may exist between SII and trouble sleeping, which increases the risk of NAFLD.

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.

Dietary patterns, inflammatory biomarkers and cognition in older adults: An analysis of three population-based cohorts

BACKGROUND

Targeting effective strategies to prevent cognitive decline is key in the aging population. Some diets have been linked to a slower cognitive decline, potentially through reducing inflammation. We aimed at determining the effect of inflammatory dietary patterns (IDPs) on cognitive function in three population-based cohorts.

METHODS

In this longitudinal study, we analyzed data from the Canadian Longitudinal Study of Aging, CoLaus|PsyCoLaus and Rotterdam Study. Our analytical sample included participants over 55 years old with baseline data on cognition, dietary intake, and inflammatory markers. IDPs were derived for each cohort using reduced rank regression to reflect maximal variation in three inflammatory markers. We calculated scores of consumption of the IDPs, higher scores indicating more IDP consumption. We used inverse probability of treatment and censoring weights in the marginal structural models to estimate associations of higher versus lower quarters of consumption of an IDP on general cognition (Mini-Mental State Evaluation) and four cognitive domains (memory, verbal fluency, verbal learning and processing speed and executive function) during at least 3 years of follow-up.

RESULTS

We included 10,366 participants (mean age 68) followed-up for a mean of 5 years. Diet explained between 1 and 2% of the variation of the inflammatory markers. There were no differences in general cognition when comparing the highest to the lowest quarter of consumption of IDPs among the three cohorts. Mean differences for the four cognitive domains were of small magnitude across cohorts and not clinically relevant.

CONCLUSION

Diet explained low variation in inflammatory markers. Consuming IDPs was not associated with mean differences in general or domain-specific cognitive function.

Iodine/soluble starch cryogel: An iodine-based antiseptic with instant water-solubility, improved stability, and potent bactericidal activity

Iodine (I2) as a broad-spectrum antiseptic has been widely used for treating bacterial infections. However, I2 has low water-solubility and sublimes under ambient conditions, which limits its practical antibacterial applications. The highly specific and sensitive reaction between I2 and starch discovered 200 years ago has been extensively applied in analytical chemistry, but the antibacterial activity of the I2-starch complex is rarely investigated. Herein, we develop a novel type of iodine-based antiseptics, iodine-soluble starch (I2-SS) cryogel, which can dissolve in water instantly and almost completely kill bacteria in 10 min at 2 μg/mL of I2. Although KI3 and the commercially available povidone‑iodine (I2-PVP) solutions show similar antibacterial efficacy, the high affinity of I2 to SS largely enhances the shelf stability of the I2-SS solution with ∼73 % I2 left after one-week storage at room temperature. In sharp contrast, ∼8.5 % and ∼2.5 % I2 are detected in KI3 and I2-PVP solutions, respectively. Mechanistic study reveals that the potent antibacterial effect of I2-SS originates from its attack on multiple bacterial targets. The outstanding antibacterial activity, capability of accelerating wound healing, and good biocompatibility of I2-SS are verified through further in vivo experiments. This work may promote the development of next-generation iodine-based antiseptics for clinical use.

Complete Blood Cell Count-Derived Inflammation Biomarkers and the Need for Laser Capsulotomy Due to Posterior Capsule Opacification Following Cataract Surgery

Background

Inflammation plays a significant role in the proliferation, migration, and differentiation of lens epithelial cells after cataract surgery, clinically manifested as posterior capsule opacification (PCO). This condition is typically treated with neodymium: yttrium-aluminum-garnet (Nd:YAG) laser capsulotomy. Our objective is to evaluate the association between blood-derived inflammatory markers and the development of clinically significant PCO necessitating treatment with laser capsulotomy.

Materials and Methods

We conducted a retrospective review of charts for all patients who underwent Nd:YAG laser capsulotomy in our department between January 2021 and December 2022. The study included 70 patients who diagnosed with clinically significant PCO requiring treatment with Nd:YAG laser capsulotomy following cataract surgery, as well as 70 pseudophakic controls with no signs of PCO. Complete blood cell count parameters were obtained from medical records and the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR) were calculated.

Results

The mean age of the Nd:YAG laser capsulotomy and control group was 71.83±8.46 and 72.27±9.98 years, respectively. The preoperative NLR scores for the Nd:YAG laser capsulotomy group (mean rank = 34.43) were statistically significantly higher than those of the control group (mean rank = 25.41) (p = 0.044). However, after adjusting for preoperative measurements, no statistically significant differences were observed between the groups for the other parameters.

Conclusion

Preoperative NLR scores were higher in patients who developed clinically significant PCO requiring treatment with Nd:YAG laser capsulotomy. This finding suggests that patients with elevated systemic inflammation may be at an increased risk of developing PCO following cataract surgery. Further research is needed to evaluate the role of systemic inflammation in the pathogenesis of PCO.

Is there a relationship between the severity of obstructive sleep apnea syndrome and the systemic immune inflammation index?

AIM

Vascular dysfunction, oxidative stress and systemic inflammation are considered responsible for the pathophysiology of Obstructive sleep apnea syndrome (OSAS). It is thought that desaturation due to apnea-hypopnea attacks in OSAS patients activates inflammatory pathways. In this study, we aimed to reveal the relationship between inflammation parameters Systemic immune inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratios (PLR) severity of OSAS in patients who underwent polysomnography in our hospital's sleep laboratory.

METHODS

We grouped our 171 patients who were followed up in our sleep laboratory with the diagnosis of OSAS according to their AHI values. We evaluated the correlation of SII, NLR, and PLR values obtained from the complete blood tests of our patients with OSAS diagnosis and OSAS severity.

RESULTS

The mean NLR, PLR and SII values of patients with OSAS were statistically significantly higher than those without OSAS (p < 0.05). A positive correlation of 18% was found between the presence of OSAS and the SII value (p = 0.016). No statistically significant difference was found when comparing OSAS severity and NLR, PLR and SII values (p > 0.05).

CONCLUSION

We observed that SII, NLR and PLR parameters, which are rapidly assessable systemic inflammation markers of this process, were independently associated in patients diagnosed with OSAS and that there was no change in SII, NLR, and PLR parameters with OSAS severity.

Systemic immune inflammation index is associated with in-stent neoatherosclerosis and plaque vulnerability: An optical coherence tomography study

Background

In-stent neoatherosclerosis (ISNA) is identified as the primary cause of in-stent restenosis (ISR). The systemic immune inflammation index (SII), shows promise for predicting post-percutaneous coronary intervention (PCI) adverse cardiovascular events and is associated with coronary stenosis severity; however, its specific relationship with ISNA remains unclear. This study aimed to investigate the association between the SII and ISNA after drug-eluting stent (DES) implantation.

Methods

This cross-sectional study included 195 participants with 195 ISR lesions who underwent optical coherence tomography (OCT)-guided PCI between August 2018 and October 2022. Participants were categorized based on the SII levels into Tertile 1 (SII <432.37, n = 65), Tertile 2 (432.37 ≤ SII ≤751.94, n = 65), and Tertile 3 (SII >751.94, n = 65). Baseline Clinical, angiographic, and OCT characteristics were analyzed. The association of the SII with ISNA and thin-fibroatheroma (TCFA) was investigated using univariate and multivariate logistic regression analyses. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic accuracy of the SII in detecting ISNA and TCFA.

Results

Patients in Tertile 3 had a significantly higher incidences of ISNA and TCFA than did those in Tertile 1. Logistic regression analysis revealed the SII is an independent indicator of ISNA and TCFA in ISR lesions (P = 0.045 and P = 0.002, respectively). The areas under the ROC curves for ISNA and TCFA were 0.611 and 0.671, respectively.

Conclusion

The SII is associated with ISNA and TCFA and may serve as an independent indicator in patients with ISR.

Inflammatory Hematological Indices, Cardiovascular Disease and Mortality: A Narrative Review

Cardiovascular diseases (CVDs) are the leading cause of death worldwide, which generates a significant economic burden of billions per year on the healthcare system. Chronic inflammation is known for its importance in the pathogenesis of atherosclerosis and CVDs. Currently, inflammatory hematologic indices, obtained through the results of the complete blood count (CBC), have been characterized as potential prognostic factors for mortality in CVD. These indexes are calculated from neutrophil, lymphocyte, platelet, and monocyte counts, are easily accessible, have simple calculations, and have low cost, which facilitates their application in practice. The aim of this paper was prepare a synthesis of studies that investigated the relationship of inflammatory hematologic indices with cardiovascular risk and mortality. The search was been conducted in PubMed, Scopus, Embase, Web of Science, and Virtual Health Library (VHL) databases. Studies that investigated the association between inflammatory hematologic indices with cardiovascular risk and mortality were been selected. 1,470 studies were obtained in the search, with only 23 being eligible. We found that the hematological index most associated with overall mortality, cardiovascular events, and cardiovascular mortality was the systemic immune-inflammation index (SII) followed by the systemic inflammatory response index (SIRI). The hematological inflammatory indices proved advantageous for screening and identifying patients who have high cardiovascular risk and mortality risk, and may be useful in directing the treatment of these patients, obtaining information about prognosis, and improving risk stratification.

Systemic immune-inflammation index values are associated with non-melanoma skin cancers: evidence from the National Health and Nutrition Examination Survey 2010-2018

Introduction

The systemic immune-inflammation index (SII), based on peripheral lymphocyte, neutrophil, and platelet counts, has recently been investigated as a prognostic marker in several tumors. However, the SII has rarely been reported in skin cancers. In this study, we aimed to assess the association between SII values and the risk of occurrence of skin cancers.

Material and methods

This cross-sectional study was based on National Health and Nutrition Examination Survey data from 2010 to 2018 and involved 32,012 participants. The SII was calculated as the platelet count × neutrophil count/lymphocyte count. A weighted multivariate logistic analysis was conducted to examine the relationship between SII values and the occurrence of skin cancers. In addition, a subgroup analysis and a sensitivity analysis were conducted to identify underlying moderators and the stability of the relationship, respectively.

Results

Compared with participants in the lowest quartile of SII values, the odds ratios for non-melanoma skin cancer were 1.650 (95% CI: 1.158-2.352) for participants in the quartile with the highest SII values after multivariate adjustments. In subgroup analyses, we found significant interactions between log-transformed SII values and age (p < 0.001 for interaction), race (p < 0.001 for interaction), education level (p < 0.001 for interaction), marital status (p < 0.001 for interaction), and annual household incomes (p < 0.001 for interaction) in the association with non-melanoma skin cancer.

Conclusions

Our findings suggest a positive association between high SII values and skin cancers in the U.S. population. Age, levels of education, marital status, and annual household incomes affect the positive association between high SII values and non-melanoma skin cancers.

Relative value of novel systemic immune-inflammatory indices and classical hematological parameters in predicting depression, suicide attempts and treatment response

This study compared the power of the novel inflammatory markers systemic immune inflammation index (SII) and the system inflammation response index (SIRI) versus the classical hematological indices neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and platelet counts in distinguishing between major depressive disorder (MDD) with and without suicide attempts and distinguishing the non-response to selective serotonin reuptake inhibitor (SSRI) treatment. A total of 139 young adult MDD patients and 54 healthy controls (HC) were included. We found that, in comparison to HC, baseline NLR, PLR, SII, and SIRI were significantly higher in MDD patients, but only NLR and SII had area under the ROC curve (AUC) values greater than 0.7. MDD patients with suicide attempts (SA) showed significantly higher baseline MLR and SIRI, and a tendency to increase NLR compared to those without SA. In terms of AUC, sensitivity, and specificity, NLR was better than MLR, SIRI, SII, and PLR in distinguishing SA. Non-responders to SSRI treatment showed a significant increase in baseline platelet count and PLR compared to responders with an AUC greater than 0.7. These findings highlight the potential benefit of combining novel and classical hematological indices in predicting depression, suicide attempts and treatment response.

Sex-differences in the association of social health and marital status with blood-based immune and neurodegeneration markers in a cohort of community-dwelling older adults

BACKGROUND

The immune system has been proposed to play a role in the link between social health and all-cause dementia risk. We explored cross-sectional and longitudinal associations between social health, immune system balance and plasma neurodegeneration markers in community-dwelling older adults, and explored whether the balance between innate and adaptive immunity mediates associations between social health and both cognition and total brain volume.

METHODS

Social health markers (social support, marital status, loneliness) were measured in the Rotterdam Study between 2002-2008. Immune system cell counts and balance were assessed repeatedly from 2002 to 2016 using white blood-cell-based indices and individual counts (granulocyte-to-lymphocyte ratio (GLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII)). Plasma neurodegeneration biomarkers (amyloid-β40, amyloid-β42, total tau and neurofilament light chain) were measured once from blood samples collected between 2002-2008. Global cognitive function and total brain volume (MRI) were measured at the follow-up visit between 2009-2014. We used linear mixed models to study longitudinal associations and performed causal mediation analyses.

RESULTS

In 8374 adults (mean age 65.7, 57 % female), never married participants (n = 394) had higher GLR, PLR and SII compared to married peers at baseline and during follow-up, indicating imbalance towards innate immunity. Being never married was associated with higher plasma amyloid-β40, and being widowed or divorced with higher plasma total tau levels at baseline. Widowed or divorced males, but not females, had higher GLR, PLR and SII at baseline. Higher social support was associated with lower PLR in females, but higher PLR in males. Loneliness was not associated with any of the immune system balance ratios. Never married males had higher levels of all plasma neurodegeneration markers at baseline. Immune system balance did not mediate associations between social health and cognition or total brain volume, but does interact with marital status.

CONCLUSION

This study indicates that marital status is associated with blood-based immune system markers toward innate immunity and higher levels of plasma neurodegeneration markers. This is particularly evident for never married or previously married male older adults compared to married or female peers.

Low-grade systemic inflammation links heavy metal exposures to mortality: A multi-metal inflammatory index approach

Certain heavy metals have been correlated to an elevated risk of inflammation-related diseases and mortality. Nevertheless, the intricate relationships between metal exposure, inflammation and mortality remain unknown. We included 3741 adults with measurements of ten urinary heavy metals in the National Health and Nutritional Examination Survey (NHANES) 2005-2010, followed up to December 31, 2019. Low-grade systemic inflammation was evaluated by various markers, including C-reactive protein (CRP) and ratios derived from regular blood tests. We assessed associations between heavy metal and all-cause mortality using multivariate COX regressions. Then we assessed the mediation effect of low-grade systemic inflammation on the associations via Sobel Test. To gauge the systemic inflammatory potential of the multi-metal mixture and its correlation with all-cause mortality, a Metal Mixture Inflammatory Index (MMII) was developed using reduced rank regression (RRR) models. The association between MMII and all-cause mortality was explored via multivariate COX regressions. Cadmium, antimony and uranium displayed positive associations with mortality, with hazard ratios (HR) ranging from 1.18 to 1.46 (all P-FDR < 0.05). Mediation analyses revealed that the associations between specific heavy metals (cadmium and antimony) and mortality risk were slightly mediated by the low-grade systemic inflammation markers, with mediation proportions ranging from 3.11 % to 5.38 % (all P < 0.05). MMII, the weighted sum of 9 heavy metals, significantly predicted platelet-to-lymphocyte ratio (PLR) and CRP (β = 0.10 and 1.16, all P < 0.05), was positively associated with mortality risk (HR 1.28, 95 % CI 1.14 to 1.43). Exposure to heavy metals might increase all-cause mortality, partly mediated by low-grade systemic inflammation. MMII, designed to assess the potential systemic inflammatory effects of exposure to multiple heavy metals, was closely related to the all-cause mortality risk. This study introduces MMII as an approach to evaluating co-exposure and its potential health effects comprehensively.

Associations of three differential white blood cell counts, platelet counts, and their derived inflammatory indices with cancer-related fatigue in patients with breast cancer undergoing chemotherapy

PURPOSE

Inflammation is thought to be a vital element in the etiology of cancer-related fatigue (CRF), and circulating blood cell parameters could be important markers of inflammatory response. However, the associations of several major blood cell counts and their derived inflammatory indices with CRF are not well described. The present study aimed to establish whether a relationship exists between the counts of three white blood cell (WBC) types, platelets, and CRF and investigate whether several systemic inflammatory indices were associated with CRF in patients with breast cancer (BC).

METHODS

A cross-sectional survey was conducted with a sample of 824 patients with BC undergoing chemotherapy. The cancer fatigue scale was administered to assess CRF. Hematological indicators, including neutrophils, lymphocytes, monocytes, and platelets, were retrieved from routine blood test. Network analyses were used to examine the associations among them.

RESULTS

Among 824 participants, the mean score of CRF was (27 ± 10), ranging from 0 to 57. The results of network models indicated that physical fatigue was negatively linked to lymphocyte counts (weight =  - 0.161), and affective fatigue was positively associated with neutrophil counts (weight = 0.070). Additionally, physical fatigue was positively linked to the platelet-to-lymphocyte ratio (PLR) (weight = 0.049).

CONCLUSION

There were preliminary associations of counts of three WBC types, platelet counts, and systemic inflammatory indices, with distinct dimensions of CRF in patients with BC. Findings provide empirical support for the cellular basis of fatigue-associated inflammatory states.

Neutrophil to lymphocyte ratio predicts bowel ischemia in non-strangulated adhesive small bowel occlusions: a retrospective analysis from an acute care surgical service

BACKGROUND

Adhesive small bowel obstruction (ASBO) is a leading cause of hospitalization in emergency surgery. The occurrence of bowel ischemia significantly increases the morbidity and mortality rates associated with this condition. Current clinical, biochemical and radiological parameters have poor predictive value for bowel ischemia. This study is designed to ascertain predictive elements for the progression to bowel ischemia in patients diagnosed with non-strangulated ASBO who are initially managed through conservative therapeutic approaches.

METHODS

The study was based on the previously collected medical records of 128 patients admitted to the Department of Acute Care Surgery of Padua General Hospital, from August 2020 to April 2023, with a diagnosis of non-strangulated adhesive small bowel obstruction, who were then operated for failure of conservative treatment. The presence or absence of bowel ischemia was used to distinguish the two populations. Clinical, biochemical and radiological data were used to verify whether there is a correlation with the detection of bowel ischemia.

RESULTS

We found that a Neutrophil-Lymphocyte ratio (NLR) > 6.8 (OR 2.9; 95% CI 1.41-6.21), the presence of mesenteric haziness (OR 2.56; 95% CI 1.11-5.88), decreased wall enhancement (OR 4.3; 95% CI 3.34-10.9) and free abdominal fluid (OR 2.64; 95% CI 1.08-6.16) were significantly associated with bowel ischemia at univariate analysis. At the multivariate logistic regression analysis, only NLR > 6.8 (OR 5.9; 95% CI 2.2-18.6) remained independent predictive factor for small bowel ischemia in non-strangulated adhesive small bowel obstruction, with 78% sensitivity and 65% specificity.

CONCLUSIONS

NLR is a straightforward and reproducible parameter to predict bowel ischemia in cases of non-strangulated adhesive small bowel obstruction. Employing NLR during reevaluation of patients with this condition, who were initially treated conservatively, can help the acute care surgeons in the early prediction of bowel ischemia onset.

Significance of Neutrophil to Lymphocyte Ratio (NLR) and Platelet Lymphocyte Ratio (PLR) in Diabetic Foot Ulcer and Potential New Therapeutic Targets

Diabetic foot ulcer (DFU) is a well-known complication of diabetes and a significant burden on the national health systems. The neutrophil/lymphocyte ratio (NLR) and platelet/lymphocyte ratio are inexpensive and easily accessible biomarkers that have proved to be useful in several inflammatory, infectious and cardiovascular diseases. We carried out a comprehensive review examining the association of NLR and PLR with the onset and progression of DFU. PLR and NLR were significantly increased in patients with DFU, compared with a control group of T2DM patients without DFU, and correlate well with DFU severity, evaluated by Wagner and IWGDF grading scales. In patients with diabetic foot infections (DFI), elevated NLR and PLR were correlated with osteomyelitis, increased risk of amputation, and septic complications. The significance of the elevated value of these biomarkers in DFU is related to chronic hyperglycemia and low-grade systemic inflammation, atherosclerotic and vascular complications, and also the associated septic factor. Serial, dynamic follow-up can provide useful information in planning and monitoring DFU treatment, as well as in risk stratification of these vulnerable patients. Further randomized studies are needed to set the cut-off values with clinical significance.

Neutrophil-to-lymphocyte ratio is elevated in acute hantavirus infection and correlates with markers of disease severity

Pathogenic Eurasian hantaviruses cause hemorrhagic fever with renal syndrome (HFRS), which is characterized by acute kidney injury. The clinical course shows a broad range of severity and is influenced by direct and immune-mediated effects. The neutrophil-to-lymphocyte ratio (NLR) is a marker of systemic inflammation and predicts severity and outcome in various diseases. Therefore, we examined the role of NLR in HFRS caused by hantavirus Puumala (PUUV) and its association with disease severity and kidney injury. We detected elevated NLR levels on admission (NLRadm: median 3.82, range 1.75-7.59), which increased during acute HFRS. Maximum NLR levels (NLRmax: median 4.19, range 1.75-13.16) were 2.38-fold higher compared to the reference NLR level of 1.76 in the general population. NLR levels on admission correlate with markers of severity (length of hospital stay, serum creatinine) but not with other markers of severity (leukocytes, platelets, C-reactive protein, lactate dehydrogenase, serum albumin, proteinuria). Interestingly, levels of nephrin, which is a specific marker of podocyte damage in kidney injury, are highest on admission and correlate with NLRmax, but not with NLRadm. Together, we observed a correlation between systemic inflammation and the severity of HFRS, but our results also revealed that podocyte damage precedes these inflammatory processes.

Deconstructing neutrophil to lymphocyte ratio (NLR) in early breast cancer: lack of prognostic utility and biological correlates across tumor subtypes

PURPOSE

The prognostic utility and biological correlates of neutrophil to lymphocyte ratio (NLR), a potential biomarker of the balance between immune response and the inflammatory status, are still uncertain in breast cancer (BC).

METHODS

We analysed a cohort of 959 women with early breast cancer, mostly treated with neoadjuvant or adjuvant chemotherapy. Clinical and pathological data, survival, NLR (continuous and categorical) and stromal tumor infiltrating lymphocytes (sTIL) were evaluated.

RESULTS

NLR was only weakly associated with Ki67, while no association was found for grade, histology, immunohistochemical subtype or stage. Lymphocyte infiltration of the tumor did not correlate with NLR (Rho: 0.05, p = 0.30). These results were similar in the whole group and across the different BC subtypes, with no differences in triple negative BC. Relapse free interval (RFI), breast cancer specific survival (BCSS) and overall survival (OS) changed according to pre-treatment NLR neither in the univariate nor in the multivariate Cox models (RFI: HR 0.948, p = 0.61; BCSS: HR 0.920, p = 0.57; OS: HR 0.96, p = 0.59).

CONCLUSION

These results question the utility of NLR as a prognostic biomarker in early breast cancer and suggest the lack of correlation of NLR with tumor microenvironment immune response.

Associations of Systematic Inflammatory Markers with Diet Quality, Blood Pressure, and Obesity in the AIRWAVE Health Monitoring Study

Introduction

Chronic low-grade inflammation is a characteristic feature of obesity, and elevated levels of inflammation are associated with pathophysiologic consequences and a constellation of metabolic disturbances, such as hypertension. The relationships of inflammation with diet, obesity, and hypertension are complex, hence, this study aimed to assess cross-sectional relationships between inflammatory scores, diet quality, obesity, high blood pressure (BP), and hypertension in the Airwave Health Monitoring Study cohort, a large cohort of police officers and police staff in the United Kingdom.

Methods

Data from 5198 men and 3347 women who completed health screening measurements and dietary assessment between 2007 and 2012 were included (n=8545 adults). Platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and the systemic immune-inflammation index (SII) were calculated. Diet quality was evaluated using the Nutrient-Rich Food 9.3 (NRF9.3) index score.

Results

Results show that a 1SD higher diet quality score, waist circumference, and systolic/diastolic BP were significantly associated with SII differences of -33.3 (95% confidence interval (CI): -49.0, -17.6), 8.2 (95% CI: 0.2, 16.6), 17.9 (95% CI: 10.1, 25.8), and 18.3 (95% CI: 10.8, 25.7) (Model 2; P<0.0001), respectively. A 1SD higher diet quality score, waist circumference, and BMI were also significantly associated with PLR (P<0.0001). The odds of elevated PLR were higher in those with higher systolic and diastolic BP (P<0.0001, P=0.0006, respectively).

Conclusion

In conclusion, the findings of this analysis add to the existing knowledge indicating a link between inflammation and conditions such as obesity, hypertension, and behavioral factors including diet quality. Of the various inflammatory scores evaluated, SII and PLR were consistently significantly associated with diet quality and these conditions.

Association of peripheral immunity and cerebral small vessel disease in older adults without dementia: A longitudinal study

This study explored the associations between peripheral immunity with cerebral small vessel diseases. Older adults without dementia from the Alzheimer's Disease Neuroimaging Initiative were investigated. Peripheral blood was obtained, and magnetic resonance imaging was performed to measure cerebral microbleeds (CMB), lacunar infarctions (LI), and white matter hyperintensities (WMH). Multivariable-adjusted regression models, linear mixed-effects models, and the Spearman correlations were used to evaluate the associations. At baseline, individuals with greater neutrophils (odds ratio [OR] =1.10, 95% confidence interval [CI] 1.00-1.20, p=0.042) and monocytes (OR=1.12, 95% CI 1.02-1.22, p=0.016) had higher WMH volume. On the contrary, a higher lymphocyte-to-monocyte ratio (LMR) was related to lower WMH volume (OR=0.91, 95% CI 0.82-1.00, p=0.041). Longitudinally, higher neutrophils (ρ=0.084, p=0.049) and NLR (ρ=0.111, p=0.009) predicted accelerated progression of WMH volume, while a greater LMR (ρ=-0.101, p=0.018) was linked to slower growth of WMH volume. Nevertheless, associations between peripheral immunity with CMB or LI were not observed at baseline and follow-up. Our study found that peripheral immune indexes could serve as convenient noninvasive biomarkers of WMH.

Hematologic and Inflammatory Predictors of Outcome in Patients with Brain Arteriovenous Malformations

OBJECTIVE

This study investigated the prognostic value of admission blood counts for arteriovenous malformation (AVM) outcomes and compared admission blood counts for patients with ruptured and unruptured AVMs.

METHODS

A retrospective analysis of patients who underwent surgical treatment for a ruptured cerebral AVM between February 1, 2014, and March 31, 2020, was conducted. The primary outcome was poor neurologic outcome, defined as a modified Rankin Scale score ≥2 in patients with unruptured AVMs or >2 in patients with ruptured AVMs.

RESULTS

Of 235 included patients, 80 (34%) had ruptured AVMs. At admission, patients with ruptured AVMs had a significantly lower mean (SD) hemoglobin level (12.78 [2.07] g/dL vs. 13.71 [1.60] g/dL, P < 0.001), hematocrit (38.1% [5.9%] vs. 40.7% [4.6%], P < 0.001), lymphocyte count (16% [11%] vs. 26% [10%], P < 0.001), and absolute lymphocyte count (1.41 [0.72] × 103/μL vs. 1.79 [0.68] × 103/μL, P < 0.001), and they had a significantly higher mean (SD) white blood cell count (10.4 [3.8] × 103/μL vs. 7.6 [2.3] × 103/μL, P < 0.001), absolute neutrophil count (7.8 [3.8] × 103/μL vs. 5.0 [2.5] × 103/μL, P < 0.001), and neutrophil count (74% [14%] vs. 64% [13%], P < 0.001). Among patients with unruptured AVMs, white blood cell count ≥6.4 × 103/μL and absolute neutrophil count ≥3.4 × 103/μL were associated with a favorable neurologic outcome, whereas hemoglobin level ≥13.4 g/dL was associated with an unfavorable outcome. Among patients with ruptured AVMs, hypertension was associated with a 3-fold increase in odds of a poor neurologic outcome.

CONCLUSIONS

Patients with ruptured and unruptured AVMs present with characteristic profiles of hematologic and inflammatory parameters evident in their admission blood work.

Assessment of the systemic immune-inflammation index in type 2 diabetic patients with and without dry eye disease: A case-control study

Background

The inflammation plays a role in the pathophysiology of type-2 diabetes progression, and the mechanism remains unclear. The systemic immune-inflammation index (SII) is a novel inflammatory marker for type 2 diabetes patients and integrates multiple indicators in complete blood counts and routine blood tests.

Aim

Since there is no international diagnostic standard for dry eye disease (DED), this study uses low-cost inflammatory blood biomarkers to investigate the correlation between SII and DM2-DED and determine the diagnosis indices of other biomarkers in DM2-DED.

Methodology

A case-control retrospective analysis of totel patients n = 293 randomly selected and categorized into four groups: DED, DM2, DM2-DED, and healthy subjects. Demographic and blood biomarker variables were classified as categorical and continuous variables. The platelet-to-lymphocyte ratio (PLR), lymphocytes-to-lymphocyte ratio, neutrophil-to-lymphocyte ratio (NLR), and SII were calculated platelet count multiply by NLR and analyzed for their correlation for all groups.

Results

Focusing on DM2-DED patients was more common in females, 59.6%, than in males, 40.2%. The mean ages were 60.7 ± 11.85 years, a statistically significant difference with all groups. In the study group DM2-DED, there was an increase in all blood markers compared to all remaining groups except PLR. Only neutrophil, hemoglobin A1c (HbA1c), and fasting blood sugar levels were statistically significant differences in DM2-DED patients (p > 0.001, p < 0.001, and p < 0.001, respectively) compared to all groups. There was a positive correlation between HbA1c and PLR, HbA1c and NLR, and HbA1c and SII (r = 0.037, p = 0.705; r = 0.031, p = 0.754; and r = 0.066, p < 0.501, respectively) in the DM2-DED group.

Conclusion

This study demonstrated that elevated SII values were linked to elevated HbA1c in DM2-DED patients. The potential of SII and HbA1c as early diagnostic indicators for ocular problems associated with diabetes mellitus is highlighted by their favorable connection in diagnosing DM2-DED.

Integrating systemic immune-inflammation index, fibrinogen, and T-SPOT.TB for precision distinction of active pulmonary tuberculosis in the era of mycobacterial disease research

Background

The clinical challenge of differentiating suspected tuberculosis with positive T-SPOT.TB results persist. This study aims to investigate the utility of the Systemic Immune-Inflammation Index (SII), Fibrinogen, and T-SPOT.TB in distinguishing between active pulmonary tuberculosis (PTB) and non-tuberculous lung diseases.

Methods

A retrospective analysis included 1,327 cases of active PTB with positive T-SPOT.TB results and 703 cases of non-tuberculous lung diseases from May 2016 to December 2020 at Meizhou People's Hospital. These were designated as the case group and the control group, respectively. The detection indicators of T-SPOT.TB: Early Secreted Antigenic Target 6 (ESAT-6), Culture Filtrate Protein 10 (CFP-10), as well as SII and Fibrinogen levels-were compared and analyzed for association and joint diagnostic value between the two groups.

Results

The case group showed higher values of ESAT-6, CFP-10, SII, and Fibrinogen compared to the control group (all p < 0.001). In the case group, SII and Fibrinogen did not correlate with ESAT-6 and CFP-10 (∣rs∣ all < 0.3) but were positively correlated with C-reactive protein (CRP; rs all > 0.3). SII and Fibrinogen values in smear-positive pulmonary tuberculosis were higher than in smear-negative cases (all p < 0.05). The optimal diagnostic thresholds for ESAT-6, CFP-10, SII, and Fibrinogen in differentiating between active PTB and non-tuberculous lung diseases were 21.50 SFCs/106 PBMC, 22.50 SFCs/106 PBMC, 2128.32, and 5.02 g/L, respectively. Regression logistic analysis showed that ESAT-6 < 21.5 (OR: 1.637, 95% CI: 1.311-2.043, p < 0.001), CFP-10 < 22.5 (OR: 3.918, 95% CI: 3.138-4.892, p = 0.025), SII < 2128.32 (OR: 0.763, 95% CI: 0.603-0.967, p < 0.001), and FIB < 5.02 (OR: 2.287, 95% CI: 1.865-2.806, p < 0.001) were independent risk factors for active PTB. The specificity for ESAT-6 + CFP-10, ESAT-6 + CFP-10 + SII, ESAT-6 + CFP-10 + FIB, and ESAT-6 + CFP-10 + SII + FIB was 82.5%, 83.2%, 95.8%, and 80.1%, respectively, while sensitivity was 52.6%, 53.0%, 55.8%, and 44.7%, and positive predictive values were 85.0%, 85.6%, 84.1%, and 89.6%, respectively.

Conclusion

SII and Fibrinogen are positively correlated with the degree of tuberculosis inflammation and the bacterial load of Mycobacterium tuberculosis. The combined detection of SII, Fibrinogen, and T-SPOT.TB is significant in distinguishing between active PTB with positive T-SPOT.TB results and non-tuberculous lung diseases.

Systemic immune-inflammation index as a novel predictor of major adverse cardiovascular events in patients undergoing percutaneous coronary intervention: a meta-analysis of cohort studies

BACKGROUND

The Systemic Immune-Inflammation Index (SII), a novel marker of inflammation based on neutrophil, platelet, and lymphocyte counts, has demonstrated potential prognostic value in patients undergoing percutaneous coronary intervention (PCI). Our aim was to assess the correlation between the SII and major adverse cardiovascular events following percutaneous coronary intervention.

METHODS

We searched PubMed, Web of Science, Embase, and The Cochrane Library from inception to November 20, 2023, for cohort studies investigating the association between SII and the occurrence of MACEs after PCI. Statistical analysis was performed using Revman 5.3, with risk ratios (RRs) and 95% confidence intervals (CIs) as relevant parameters.

RESULTS

In our analysis, we incorporated a total of 8 studies involving 11,117 participants. Our findings revealed that a high SII is independently linked to a increased risk of MACEs in PCI patients (RR: 2.08,95%CI: 1.87-2.32, I2 = 42%, p < 0.00001). Additionally, we demonstrated the prognostic value of SII in all-cause mortality, heart failure, and non-fatal myocardial infarction.

CONCLUSIONS

Elevated SII may serve as a potential predictor for subsequent occurrence of MACEs in patients undergoing PCI.

TRIAL REGISTRATION

Our protocol was registered in PROSPERO (registration number: CRD42024499676).

The Neutrophil-to-Lymphocyte Ratio as a Biomarker in Cutaneous Oncology: A Systematic Review of Evidence beyond Malignant Melanoma

With the ongoing progress of basic research along with the introduction of new pharmaceutical options spanning almost all therapeutic areas, the need for biomarkers that will be implemented into the personalized medical approach is higher than ever. Their use can be incorporated into clinical practice and can be applied to the classification of disorders and the evaluation of disease severity but also to the monitoring of the progress of therapeutic/pharmaceutical interventions. This systematic review collects the findings of hematologic biomarkers in various cutaneous malignancies, excluding malignant melanoma, to support their potential use in the prognosis but also in the assessment of therapeutic strategies for the specific category of skin disorders.

A Three-Year Retrospective Analysis: Do Nutritional and Immunological Indices Predict Postoperative Complications After Rectal Resection?

Background Nutritional and immunological indices, such as prognostic nutritional index (PNI), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR), have been used as predictors of outcomes and survival in a few cancers. However, the literature is unclear about their usefulness in predicting postoperative complications in rectal cancer resection operations. Additionally, the prescribed cut-off values as well as the timing of the tests for these indices vary among studies. We aimed to determine the role of PNI, NLR, and PLR in predicting postoperative complications in patients undergoing rectal resection. Methods This is a retrospective analysis from a colorectal unit of a tertiary care teaching hospital. All consecutive patients undergoing rectal resection for rectal cancer between April 2018 and March 2021 were included. PNI, NLR, and PLR were calculated from preoperative blood tests, and all morbidity and mortality within 30 days of operation were considered. Results A total of 202 patients were included. Three patients who did not have the necessary preoperative blood test reports were excluded. Of the remaining 199, 142 (71.4 %) were males. The mean age was 47.3 years. Of the patients, 13.6% (n = 27) had major morbidity (Clavien-Dindo grade 3-5), including one mortality. The mean PNI, NLR, and PLR were 49.9, 4.3, and 230.5, respectively. The mean PNI between the groups (no complication vs. complication) was 49.6 vs. 50.1 (p = 0.46) and the mean NLR between the same groups was 4.7 vs. 3.8, (p = 0.06), and both were not significant. The mean PLR between the groups (256.3 vs. 203.4, p = 0.01) was found to be significant but significance was not elicited when only major complications were considered. Hence, none of the indices were a good predictor of postoperative complications in our study. Conclusion The role of nutritional and immunological indices (PNI, NLR, and PLR) is limited in predicting postoperative morbidity in rectal resection operations.

Systemic and local immunosuppression in glioblastoma and its prognostic significance

The effectiveness of tumor therapy, especially immunotherapy and oncolytic virotherapy, critically depends on the activity of the host immune cells. However, various local and systemic mechanisms of immunosuppression operate in cancer patients. Tumor-associated immunosuppression involves deregulation of many components of immunity, including a decrease in the number of T lymphocytes (lymphopenia), an increase in the levels or ratios of circulating and tumor-infiltrating immunosuppressive subsets [e.g., macrophages, microglia, myeloid-derived suppressor cells (MDSCs), and regulatory T cells (Tregs)], as well as defective functions of subsets of antigen-presenting, helper and effector immune cell due to altered expression of various soluble and membrane proteins (receptors, costimulatory molecules, and cytokines). In this review, we specifically focus on data from patients with glioblastoma/glioma before standard chemoradiotherapy. We discuss glioblastoma-related immunosuppression at baseline and the prognostic significance of different subsets of circulating and tumor-infiltrating immune cells (lymphocytes, CD4+ and CD8+ T cells, Tregs, natural killer (NK) cells, neutrophils, macrophages, MDSCs, and dendritic cells), including neutrophil-to-lymphocyte ratio (NLR), focus on the immune landscape and prognostic significance of isocitrate dehydrogenase (IDH)-mutant gliomas, proneural, classical and mesenchymal molecular subtypes, and highlight the features of immune surveillance in the brain. All attempts to identify a reliable prognostic immune marker in glioblastoma tissue have led to contradictory results, which can be explained, among other things, by the unprecedented level of spatial heterogeneity of the immune infiltrate and the significant phenotypic diversity and (dys)functional states of immune subpopulations. High NLR is one of the most repeatedly confirmed independent prognostic factors for shorter overall survival in patients with glioblastoma and carcinoma, and its combination with other markers of the immune response or systemic inflammation significantly improves the accuracy of prediction; however, more prospective studies are needed to confirm the prognostic/predictive power of NLR. We call for the inclusion of dynamic assessment of NLR and other blood inflammatory markers (e.g., absolute/total lymphocyte count, platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, systemic immune-inflammation index, and systemic immune response index) in all neuro-oncology studies for rigorous evaluation and comparison of their individual and combinatorial prognostic/predictive significance and relative superiority.

Plasma circulating microRNAs associated with blood-based immune markers: a population-based study

MicroRNAs (miRNAs) are small non-coding RNAs that post-transcriptionally regulate gene expression and different immune-related pathways. There is a great interest in identifying miRNAs involved in immune cell development and function to elucidate the biological mechanisms underlying the immune system, its regulation, and disease. In this study, we aimed to investigate the association of circulating miRNAs with blood cell compositions and blood-based immune markers. Circulating levels of 2083 miRNAs were measured by RNA-sequencing in plasma samples of 1999 participants from the population-based Rotterdam Study collected between 2002 and 2005. Full blood count measurements were performed for absolute granulocyte, platelet, lymphocyte, monocyte, white, and red blood cell counts. Multivariate analyses were performed to test the association of miRNAs with blood cell compositions and immune markers. We evaluated the overlap between predicted target genes of candidate miRNAs associated with immune markers and genes determining the blood immune response markers. First, principal component regression analysis showed that plasma levels of circulating miRNAs were significantly associated with red blood cell, granulocyte, and lymphocyte counts. Second, the cross-sectional analysis identified 210 miRNAs significantly associated (P < 2.82 × 10-5) with neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index. Further genetic look-ups showed that target genes of seven identified miRNAs (miR-1233-3p, miR-149-3p, miR-150-5p, miR-342-3p, miR-34b-3p, miR-4644, and miR-7106-5p) were also previously linked to NLR and PLR markers. Collectively, our study suggests several circulating miRNAs that regulate the innate and adaptive immune systems, providing insight into the pathogenesis of miRNAs in immune-related diseases and paving the way for future clinical applications.

Plant-based diets and cardiovascular risk factors: a comparison of flexitarians, vegans and omnivores in a cross-sectional study

BACKGROUND

The growing trend towards conscious and sustainable dietary choices has led to increased adoption of flexitarian diets, characterised by plant-based eating habits with occasional consumption of meat and processed meat products. However, the cardiovascular disease (CVD) risk factors associated with flexitarian diets compared to both vegans and omnivores remain underexplored.

METHODS

In this cross-sectional study, 94 healthy participants aged 25-45 years, categorized into long-term flexitarians (FXs ≤ 50 g/day of meat and meat products, n = 32), vegans (Vs, no animal products, n = 33), and omnivores (OMNs ≥ 170 g/day of meat and meat products, n = 29) were included. Various CVD risk factors were measured, including fasting blood samples for metabolic biomarkers, body composition analysis via bioimpedance, blood pressure measurements, arterial stiffness evaluated through pulse wave velocity (PWV) and metabolic syndrome (MetS) severity was determined using browser-based calculations (MetS-scores). Dietary intake was assessed using a Food Frequency Questionnaire (FFQ), diet quality was calculated with the Healthy Eating Index-flexible (HEI-Flex), while physical activity levels were recorded using the validated Freiburger questionnaire.

RESULTS

The data showed that FXs and Vs had more beneficial levels of insulin, triglycerides, total cholesterol, and LDL cholesterol compared to OMNs. Notably, FXs revealed the most favorable MetS-score results based on both BMI and waistline, and better PWV values than Vs and OMNs. In addition, FXs and Vs reported higher intake rates of vegetables, fruit, nuts/seeds and plant-based milk alternatives.

CONCLUSION

The flexitarian diet appears to confer cardiovascular benefits. While Vs had the most favorable results overall, this study supports that reducing meat and processed meat products intake, as in flexitarianism, may contribute to CVD risk factor advantages.

Neutrophil-to-lymphocyte ratio and all-cause mortality with and without myeloproliferative neoplasms-a Danish longitudinal study

The neutrophil-to-lymphocyte ratio(NLR) is increased in chronic inflammation and myeloproliferative neoplasms (MPN). We hypothesize that NLR is associated with all-cause mortality and mortality by comorbidity burden in the general population and individuals with MPN. We included 835,430 individuals from The Danish General Suburban Population Study, general practitioners, and outpatient clinics. We investigated NLR on mortality stratified by prevalent and incident MPN, essential thrombocythemia (ET), polycythemia vera (PV), myelofibrosis (MF), comorbidity burden (CCI-score), and the Triple-A risk score using hazard ratio (HR) and 95% confidence interval (95%CI). NLR 1-1.9 was the reference level. During a median follow-up of 11.2 years, 197,802 deaths were recorded. All-cause mortality increased for a stepwise increasing NLR with a HR (95%CI) for NLR ≥ 6 of 2.06(2.03-2.09) for the whole population and 2.93(2.44-3.50) in prevalent MPN. ET, PV, and MF had a HR (95%CI) for NLR ≥ 2 of 2.14(1.71-2.69), 2.19(1.89-2.54), and 2.31(1.91-2.80). Results were similar for incident MPN. Mortality was higher for stepwise increasing NLR and CCI-score(pinteraction < 2×10-16), with a HR for NLR ≥ 6 of 2.23(2.17-2.29), 4.10(4.01-4.20), and 7.69(7.50-7.89), for CCI-score 0, 1-2, or ≥3. The Triple-A risk score demonstrated alignment with NLR. Increasing NLR and comorbidity burden were associated with lower survival in individuals without MPN but were even worse in prevalent and incident MPN, ET, PV, and MF.

The association between phylogenetic lineage and the subclinical phenotype of pulmonary tuberculosis: A retrospective 2-cohort study

BACKGROUND

Subclinical pulmonary tuberculosis (PTB) is an asymptomatic disease state between established TB infection and symptomatic (clinical) TB disease. It is present in 20-25% of PTB patients in high-income countries. Mycobacterium tuberculosis complex (MTBC) genetic heterogeneity, and differential host immunological responses, have been implicated in its pathogenesis.

METHODS

To determine the association between MTBC lineage and PTB disease phenotype, we used two retrospective cohorts of PTB patients in Canada and two independent lineage attribution methods (DNA fingerprinting and genome sequencing). The first cohort, Cohort 1, consisted of consecutively diagnosed PTB patients between 2014 and 2020. The second, Cohort 2, consisted of newly-arrived foreign-born PTB patients who either were or were not referred for post-landing medical surveillance between 2004 and 2017. Univariable and multivariable logistic regression models were sequentially fitted to both cohorts, adjusting for age, sex, disease type, drug resistance and HIV. Evolution of radiographic features was correlated to lineage in Cohort 2.

FINDINGS

Cohort 1 and 2 included 874 (209 subclinical) and 111 (44 subclinical) patients, respectively. In both cohorts, subclinical patients were more likely than clinical patients to have relapse/retreatment disease, be smear-negative, have longer times-to-culture positivity and to harbor an ancestral MTBC lineage (Indo-Oceanic or Mycobacterium africanum). Relapse/retreatment disease and ancestral MTBC lineage were independent predictors of subclinical disease (ORs and 95% CIs in Cohort 1, 1.85 [1.07,3.28], p < 0.029 and 2.30 [1.66,3.18], p < 0.001, respectively, and Cohort 2, 5.74 [1.37-24.06], p < 0.017 and 3.21 (1.29,7.97], p < 0.012, respectively). The geographic distribution of Indo-Oceanic strains causing subclinical disease was uneven. Non-progressive lung disease was more common in patients infected with ancestral than modern lineages in Cohort 2, 56.0% vs 25.4%, p < 0.005.

INTERPRETATION

MTBC lineage is a strong predictor of PTB disease phenotype. The genetic drivers of this association, and the relative contribution of other explanatory variables, are unknown.

Relationship between the lymphocyte to C‑reactive protein ratio and coronary artery disease severity

Coronary atherosclerosis is a chronic systemic inflammatory disease. Laboratory parameters such as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and systemic immune inflammation index (SII) have been used to assess inflammation degree and coronary artery disease (CAD) severity. The lymphocyte-to-C-reactive protein ratio (LCR) is a new SII. However, its relationship with CAD development and severity is unclear. A total of 1,107 patients (479 in control group, 628 in CAD group) underwent coronary angiography. The routine and biochemical indices of the venous blood of patients were assessed before coronary angiography. LCR, SII, NLR and PLR were calculated and statistical analyses were performed. Propensity score matching (PSM) and a logistic regression model were used to analyze the relationship between LCR and CAD. After the PSM, 384 pairs of patients with or without CAD were successfully matched. After the median binary classification of all indicators, uni- and multivariate logistic regression analyses showed that platelet count was an independent risk factor and LCR was an independent protective factor. Using the same method, in the coronary heart disease severity group, 212 pairs were successfully matched and NLR and PLR were independent risk factors, while LCR was an independent protective factor. In conclusion, LCR is an independent protective factor against CAD development and severity.

Diagnostic Role of Systemic Inflammatory Indices in Infants with Moderate-to-Severe Hypoxic Ischemic Encephalopathy

BACKGROUND

When the newborn brain is exposed to hypoxia, as in hypoxic ischemic encephalopathy (HIE), it causes an inflammatory response. A wide variety of inflammatory markers are therefore used in the diagnosis of HIE.

OBJECTIVE

We aimed to determine the diagnostic role of systemic inflammatory indices in infants with moderate-to-severe HIE. We have also investigated the effect of hypothermia treatment over those indices.

STUDY DESIGN

A retrospective cohort study of infants suffering from moderate-to-severe HIE was conducted in a tertiary-level neonatal intensive care unit between September 2019 and March 2021. Systemic inflammatory indices including systemic immune-inflammation index (SII), pan-immune-inflammation value (PIV), systemic inflammation response index (SIRI), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR) were calculated for infants with HIE and controls at baseline, and after therapeutic hypothermia in those with HIE.

RESULTS

A total of 103 infants (53 in the HIE group and 50 in the control group) were included in the study. Median gestational ages (GA) were 39 (37-40) and 38 (37-39) weeks, and median birth weights (BW) were 3,165 (2,890-3,440) and 3,045 (2,850-3,460) g in the HIE and control groups, respectively. GA, BW, mode of delivery, and gender of infants were similar between the groups. Infants in the HIE group had significantly higher NLR (p = 0.001), SII (p = 0.001), PIV (p = 0.001), and SIRI (p = 0.004) values when compared with the control group. Those indices decreased significantly after hypothermia treatment in the HIE group. Areas under curve for NLR, PLR, MLR, SII, SIRI, and PIV to predict HIE were found to be 0.808, 0.597, 0.653, 0.763, 0.686, and 0.663, respectively. Cutoff values having a good ability to predict HIE for SII and NLR were 410 and 1.12. Elevated NLR level above 1.12 was found to be an independent predictor for HIE, as revealed by multivariate analyses. No associations were found between systemic inflammatory indices and amplitude-integrated electroencephalography (aEEG) patterns, presence of seizures, and death.

CONCLUSION

Systemic inflammatory indices may represent reliable and readily available predictors of HIE risk. NLR seems to be an independent factor in diagnosing moderate-to-severe HIE.

KEY POINTS

· Systemic inflammatory incides are readily calculated from the peripheral blood count.. · NLR is an independent and valuable factor in diagnosing moderate-to-severe hypoxic-ischemic encephalopathy.. · Systemic inflammatory incides might be feasible for diagnosing hypoxic-ischemic encephalopathy..

Neutrophil-to-lymphocyte ratio is independently associated with carotid atherosclerosis burden in individuals with type 1 diabetes

BACKGROUND AND AIMS

Recent studies have identified a relationship between innate versus. Adaptative immunity and cardiovascular disease (CVD) in the general population, but information on type 1 diabetes (T1D) is lacking. We aimed to study the relationship between inflammatory biomarkers and preclinical atherosclerosis in this population.

METHODS AND RESULTS

Cross-sectional study in T1D individuals without CVD and with ≥1 of the following: ≥40 years, diabetic kidney disease, or ≥10 years of diabetes duration with classical CVD risk factors. Carotid plaques were evaluated by ultrasonography. C-reactive protein, total leukocyte count, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio and systemic immune-inflammation index were assessed as inflammatory markers. Multivariate-adjusted models including age, sex, and other CVD risk factors were constructed to test their independent associations with atherosclerosis burden. We included 602 subjects (52.8% men, 48.7 ± 10.2 years old and 27.0 ± 10.5 years of diabetes duration). Carotid plaques were found in 41.2% of the individuals (12.8%, ≥3 plaques). The number of carotid plaques (none, 1-2, ≥3 plaques), was directly associated with the leukocyte count (6570 [5445-8050], 6640 [5450-8470] and 7310 [5715-8935] per mm3, respectively; p for trend = 0.021) and the NLR (1.63 [1.28-2.13], 1.78 [1.38-2.25] and 2.14 [1.58-2.92], respectively; p for trend <0.001), but only the NLR remained directly associated in fully-adjusted models (presence of plaques; OR 1.285 [1.040-1.587]; ≥3 plaques, OR 1.377 [1.036-1.829]).

CONCLUSIONS

The NLR was independently and directly associated with carotid plaque burden in T1D individuals. Our data support the role of innate versus. Adaptative immunity in atherosclerosis also among the T1D population.

The Systemic Immune-Inflammation Index (SII) and coronary artery lesions in Kawasaki disease

Coronary artery lesions (CALs) are the most common complications of Kawasaki disease (KD) and play a crucial role in determining the prognosis of the disease. Consequently, the early identification of children with KD who are at risk of developing coronary artery damage is vitally important. We sought to investigate the relationship between the Systemic Immune-Inflammation Index (SII) and CALs in patients with KD and to assess its predictive value. We carried out a retrospective review and analysis of medical records for KD patients treated at the First Affiliated Hospital of Anhui Medical University between January 2017 and January 2023. We utilized single-variable tests, binary logistic regression analysis, ROC curve analysis, restricted cubic spline tests, and curve fitting to evaluate the association between SII and CALs. In our study, 364 patients were included, with 63 (17.3%) presenting with CALs at the time of admission. The binary logistic regression analysis indicated that SII was a significant risk factor for CALs at admission, evident in both unadjusted and models adjusted for confounders. The ROC curve analysis revealed an AUC (Area Under the Curve) value of 0.789 (95%CI 0.723-0.855, P < 0.001) for SII's predictive ability regarding CALs at admission. A consistent positive linear relationship between SII and the risk of CALs at admission was observed in both the raw and adjusted models. Our research findings suggest that SII serves as a risk factor for CALs and can be used as an auxiliary laboratory biomarker for predicting CALs.