An Association between Inflammation and Cerebral Venous Thrombosis: A Retrospective Study

The inflammatory markers MHR and NLR are independent risk factors for adverse events during hospitalization in older adult patients with myocardial injury caused by acute carbon monoxide poisoning: a retrospective cross-sectional study

Acute carbon monoxide poisoning-induced myocardial injury is easily overlooked. However, patients with acute carbon monoxide poisoning, especially older adult patients, often have difficulty expressing clinical symptoms due to early consciousness disturbances, making the early identification of complications challenging and leading to delayed diagnosis and treatment. Therefore, exploring indicators that can predict in-hospital cardiovascular adverse events in older adult patients with acute carbon monoxide poisoning -induced myocardial injury has important clinical significance. Therefore, this retrospective cross-sectional study included older adult patients with acute carbon monoxide poisoning-induced myocardial injury at the Department of Hyperbaric Oxygen of Beijing Chao-Yang Hospital from January 2013 to December 2019. A total of 119 older adult patients with acute carbon monoxide poisoning-induced myocardial injury were included in the study, with 94 patients in the nonevent group (54 males, 40 females, 71.09 ± 7.60 years) and 25 patients in the cardiovascular adverse event group (10 males, 15 females, 71.48 ± 10.38 years). Compared with those in the nonevent group, creatine kinase isoenzyme levels, triglyceride levels, the neutrophil/lymphocyte ratio and the monocyte/high-density lipoprotein cholesterol ratio were significantly greater in the cardiovascular adverse event group, and high-density lipoprotein cholesterol levels were significantly lower in the cardiovascular adverse event group. Further binary logistic regression analysis showed that higher monocyte/high-density lipoprotein cholesterol ratio might be an independent risk factor for in-hospital adverse events in older adult patients with acute carbon monoxide poisoning-induced myocardial injury (OR = 109.783, 95% CI: 2.644-4557.834; P = 0.013). The area under the curve of the monocyte/high-density lipoprotein cholesterol ratio in predicting in-hospital cardiovascular adverse events in older adult patients with myocardial injury due to acute carbon monoxide poisoning was 0.797, the cutoff value was 0.645, the sensitivity was 68.0%, and the specificity was 88.2%. The inflammatory indicators monocyte/high-density lipoprotein cholesterol ratio and neutrophil/lymphocyte ratio were identified as an independent risk factor for predicting in-hospital cardiovascular adverse events in older adult patients with acute carbon monoxide poisoning-induced myocardial injury in this study. Specifically, monocyte/high-density lipoprotein cholesterol ratio was identified as an independent risk factor for predicting adverse events during hospitalization.

The prognostic value of the systemic immunity-inflammation index for cardiovascular and all-cause mortality in cardiovascular disease patients with diabetes or prediabetes

BACKGROUND

The relationship between the systemic immune-inflammatory index (SII) and the prognosis of cardiovascular disease (CVD) patients with diabetes or prediabetes remains uncertain. This study investigated the association between baseline SII and all-cause and cardiovascular mortality in American adults with CVD and diabetes or prediabetes.

METHODS

Our survey included 4,060 adults with cardiovascular disease and diabetes or prediabetes from the National Health and Nutrition Examination Survey (1998-2020). Using restricted cubic splines (RCS) based on Cox regression models and a two-piecewise Cox proportional hazards model for both sides of the inflection point, we elucidated the nonlinear relationship between baseline SII and mortality. Mediation analysis was used to explore the indirect impact of SII on mortality through eGFR.

RESULTS

In the median 129 months of follow-up, 620 people died from cardiovascular causes and 1,800 from all causes. In the CVD population with diabetes or prediabetes, SII showed a U-shaped relationship with all-cause mortality. The association between SII and CVD mortality was nonlinear and J-shaped. Stratified and interaction analysis confirmed the stability of the core results. Notably, eGFR partially mediated the association between SII and both all-cause and cardiovascular mortality by 9.4% and 6.9%, respectively.

CONCLUSIONS

SII revealed a U-shaped relationship with all-cause mortality (inflection point: lnSII = 6) and a J-shaped association with CVD mortality (inflection point: lnSII = 5.73) in CVD patients with diabetes or prediabetes among American patients. Thus, assessing the SII index may offer valuable insights into risk assessment and prognosis in patients with CVD who are diabetic or prediabetic.

Treatment of hidradenitis suppurativa with adalimumab in the PIONEER I and II randomized controlled trials reduced indices of systemic inflammation, recognized risk factors for cardiovascular disease

BACKGROUND

Hidradenitis suppurativa (HS) is associated with increased cardiovascular disease (CVD) risk. Systemic immune inflammation index (SII), neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR) and monocyte/lymphocyte ratio (MLR) are biomarkers of systemic inflammation and CVD. One small study identified a lower NLR and PLR in patients treated with adalimumab (ADA).

OBJECTIVES

To assess changes in SII, NLR, PLR and MLR in a larger cohort and to evaluate their association with disease severity and treatment response.

METHODS

This was a post hoc analysis of PIONEER I (ClinicalTrials.gov ID: NCT01468207) and PIONEER II (ClinicalTrials.gov ID: NCT01468233), two phase III randomized placebo-controlled clinical trials of ADA for HS. SII, NLR, PLR and MLR were log10-transformed and a linear mixed model was used to estimate the treatment effect.

RESULTS

SII, NLR, PLR and MLR decreased from baseline levels with ADA treatment by week 12, when the primary response endpoint was assessed. Significant changes first appeared at week 4 and were maintained to week 36. In contrast, no significant changes were observed in placebo-treated patients. In patients re-randomized at week 12 from placebo to ADA, SII, NLR, PLR and MLR also reduced within 4 weeks. In patients re-randomized from ADA to placebo, these biomarkers returned to baseline by week 36. In addition, SII, NLR and PLR correlated with draining fistula count (r = 0.26-0.43, P < 0.001). ADA nonresponders in PIONEER I had a higher SII, NLR and PLR at baseline and week 12, but this change did not achieve statistical significance when draining fistulae were adjusted for.

CONCLUSIONS

Treatment of patients with HS with ADA resulted in rapid sustained reduction in systemic inflammation, measured by the biomarkers SII, NLR, PLR and MLR, which correlate with CVD risk. SII, NLR and PLR may predict ADA response, although this may be dependent on their interaction with the number of draining fistulae.

Prognostic value of systemic immune-inflammation index and monocyte-to-HDL-cholesterol ratio in early cardio-cerebral complications in elderly patients with acute severe carbon monoxide poisoning

To investigate how effectively systemic immune-inflammation index (SII) and Monocyte-to-HDL-cholesterol ratio (MHR) predict the development of early cardio-cerebral complications in elderly patients who have experienced acute severe carbon monoxide poisoning (ASCMP). A retrospective analysis was conducted on 77 elderly patients with ASCMP admitted to the emergency department of Harrison International Peace Hospital from November 2020 to March 2022. The prevalence of early-onset complications among the 77 individuals was 38.96%. Binary Logistics regression analysis showed that SII and MHR were independent influencing factors of early cardio-cerebral complications in elderly patients with ASCMP. The complication group had a longer length of stay, a greater mortality rate, and a higher incidence of delayed encephalopathy after acute carbon monoxide poisoning (p < .05) than the non-complication group. The area under the curve (AUC) of SII and MHR in predicting early cardio-cerebral complications in elderly patients with ASCMP were 0.724 and 0.796, respectively, with 80.0% and 63.3% sensitivity, and 61.7% and 87.2% specificity. The incidence of early cardio-cerebral complications in elderly patients who had ASCMP is high and the prognosis is poor. SII and MHR can be utilized as independent predictors of early cardio-cerebral complications in elderly patients with ASCMP, allowing doctors to diagnose and treat cardio-cerebral complications earlier and improve prognosis.

Association of inflammatory markers based on routine blood with prognosis in patients underwent percutaneous coronary intervention

Inflammation contributes to the pathophysiological processes of coronary artery disease. We evaluated the association between inflammatory biomarkers, neutrophil-to-lymphocyte ratio (NLR), red cell distribution width (RDW), systemic inflammatory index, platelet-lymphocyte ratio, and 1-year all-cause mortality in patients underwent percutaneous coronary intervention (PCI). In this retrospective cohort, we consecutively enrolled 4651 patients who underwent PCI. Baseline demographic details, clinical data, and laboratory parameters on admission were analyzed. The primary outcome was 1-year all-cause mortality after PCI. We performed Cox regression and restricted cubic spline analysis to assessed the association between the inflammatory biomarkers and the clinical outcome. The area under the curve from receiver operating characteristic analysis was determined for the ability to classify mortality outcomes. A total of 4651 patients were included. Of these, 198 (4.26%) died on follow-up. Univariate Cox regression showed that NLR (heart rate [HR]: 1.070, 95% confidence interval [CI]: 1.060-1.082, P < .001), RDW (HR: 1.441, 95% CI 1.368-1.518, P < .001), systemic inflammatory index (HR: 1.000, 95% CI 1.000-3.180, P < .001), platelet-lymphocyte ratio (HR: 3.812, 95% CI 1.901-3.364, P < .001) were significant predictors of 1-year all-cause mortality. After adjusting for other confounders in multivariate analysis, NLR (HR: 01.038, 95% CI 1.022-1.054, P < .001) and RDW (HR: 1.437, 95% CI 1.346-1.535, P < .001) remained significant predictors. Restricted cubic spline analysis showed the relationship between RDW, NLR, and 1-year all-cause mortality was linear after adjusting for the covariables (P for non-linearity < 0.001). The multivariable adjusted model led to improvement in the area under the curve to 0.83 (P < .05). Nomogram was created to predict the probability of 1 year mortality. Among the laboratory indices, RDW and NLR showed the best performance for mortality risk prediction. Multivariate predictive models significantly improved risk stratification.

Inflammatory biomarkers are correlated with thrombus burden in cerebral venous sinus thrombosis

BACKGROUND

 Increasing evidence suggests that inflammatory biomarkers play a significant role in cerebral venous sinus thrombosis (CVST). The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR) are related to thrombotic conditions and indicators of systemic inflammation.

OBJECTIVE

 To analyze the correlation between inflammatory biomarkers and the extent of thrombus, determined by the CVST-Score.

METHODS

 A total of 40 patients with CVST (24 female subjects; 60%) and 40 age- and sex-matched healthy controls were retrospectively evaluated. Inflammatory biomarkers, including C-reactive protein (CRP), PLR, NLR, MLR, and the CVST-Score, were recorded to assess the relationship between biomarkers and thrombus burden. The patients were grouped according to symptom duration (group 1: 0-3 days; group 2: 4-7 days; and group 3: 8-30 days) to compare biomarker levels.

RESULTS

 The CRP, NLR, and PLR were significantly higher in the CVST group (p < 0.001; p = 0.003; p = 0.014 respectively). The NLR and PLR presented a significant positive correlation with the CVST-Score (p = 0.003, r = 0.464; p = 0.040, r = 0.326 respectively). The NLR was significantly higher in group 1 compared with groups 2 and 3 (p = 0.016 and p = 0.014 respectively). In group 1, there was a stronger positive correlation between the CVST-Score and the NLR (p = 0.026, r = 0.591) and the PLR (p = 0.012, r = 0.648). The multiple linear regression analysis revealed that the NLR is a key factor in predicting the CVST-Score (p = 0.019).

CONCLUSION

 The NLR and PLR are associated with thrombus burden in CVST, especially in patients admitted to the hospital in the early stages. The NLR is an independent factor to predict the thrombus burden in CVST.

Asymmetric deep cerebral venous filling predicts poor outcome of acute basilar artery occlusion after endovascular treatment

OBJECTIVE

To explore the relationship between asymmetric deep cerebral venous (ADCV) filling and poor outcomes after endovascular treatment (EVT) in patients with acute basilar artery occlusion (ABAO).

METHODS

ABAO patients were selected from a prospectively collected data at our center. The DCV filling was evaluated using computed tomography perfusion (CTP)-derived reconstructed 4D-DSA or mean venous map. ADCV filling was defined as the internal cerebral vein (ICV), thalamostriate vein (TSV), or basal vein of Rosenthal (BVR) presence of ipsilateral filling defects or delayed opacification compared to the contralateral side. Poor prognosis was defined as a modified Rankin scale score >3 at the 90-day follow-up.

RESULTS

A total of 90 patients were enrolled in the study, with a median Glasgow Coma Scale of 6, 46 (51.1%) showed ADCV filling, 59 (65.6%) had a poor prognosis, and 27 (30.7%) had malignant cerebellar edema (MCE). Multivariate adjusted analysis revealed significant associations between asymmetric TSV and poor prognosis (odds ratio, 9.091, p = 0.006); asymmetric BVR (OR, 9.232, p = 0.001) and asymmetric ICV (OR, 4.028, p = 0.041) were significantly associated with MCE.

CONCLUSION

Preoperative ADCV filling is an independent influencing factor for the poor outcome after EVT in ABAO patients.

Anti-inflammatory Effect of Batroxobin Combined With Anticoagulation in Patients With Cerebral Venous Thrombosis

Inflammation is pivotal in the pathogenesis and development of cerebral venous thrombosis (CVT). Herein, we aimed to assess the anti-inflammatory effects of batroxobin combined with anticoagulation in CVT. Participants were categorized into the batroxobin group (batroxobin combined with anticoagulation) and the control group (anticoagulation only). Regression analysis was employed to explore the association between the number of episodes of batroxobin administration and the fluctuation of inflammatory indicators, as well as the proportion of patients with inflammatory indicators that were reduced after batroxobin use. Twenty-three cases (age: 39.9 ± 13.8 years, female: 39.1%) in the batroxobin group and 36 cases (40.3 ± 9.6 years, 52.8%) in the control group were analyzed. Compared to the control group, batroxobin combined with anticoagulation significantly decreased fibrinogen (P < .001), platelet-lymphocyte ratio (PLR) (P = .016) and systemic immune-inflammation index (SII) (P = .008), and increased the proportion of the patients with lower fibrinogen (P < .001), neutrophil-lymphocyte ratio (NLR) (P = .005), PLR (P = .026), and SII (P = .006). Linear analysis showed that as the number of episodes of batroxobin administration increased, the fibrinogen (P < .001), the PLR (P = .001), and the SII (P = .020) significantly decreased. Logistic regression analysis showed as the number of episodes of batroxobin administration increased, the ratio of the patients with decreased NLR (P = .008) and PLR (P = .015), as well as SII (P = .013), significantly increased. Batroxobin could decrease NLR, PLR, and SII in CVT. The effect was related to the number of episodes of batroxobin administration. Besides reducing fibrinogen and indirect thrombolysis effects, this may be another critical benefit of batroxobin for CVT.

Systemic immune-inflammation index (SII) and the risk of all-cause, cardiovascular, and cardio-cerebrovascular mortality in the general population

BACKGROUND

An elevated systemic immune-inflammation index (SII) is associated with higher mortality in patients with coronary artery disease and other diseases. However, the potential of SII for predicting mortality in the general population has been underexplored. Therefore, this study aimed to analyze the relationship between the SII and all-cause, cardiovascular disease, and cardiocerebrovascular disease mortality in the general population.

METHODS

This study involved 26,855 participants (≥ 18 years) from the National Health and Nutrition Examination Survey 1999-2014 who were grouped according to the SII tertiles. Survival differences between the groups were analyzed using log-rank tests and Kaplan-Meier plots. Furthermore, multivariate Cox regression and restricted cubic spline analyses were used to examine the relationship between the SII and all-cause, cardiovascular, and cardio-cerebrovascular mortality.

RESULTS

Overall, 1947 (7.425%) participants died following an average follow-up of 87.99 ± 54.04 months. Among these, 325 (1.210%) deaths were related to cardiovascular diseases and 392 (1.459%) to cardio-cerebrovascular mortality. Kaplan-Meier analysis revealed statistically significant differences in all-cause, cardiovascular, and cerebrovascular mortality between the SII tertiles (log-rank test: all P < 0.001). Multi-adjusted models showed that participants in the highest tertile of SII had a higher risk of death from all-cause (hazard ratio [HR] = 1.48, 95% confidence interval [CI] 1.48-1.48) and cardiovascular mortality (HR = 1.60, 95% CI 1.60-1.61) compared with those in the lowest tertile. In addition, the restricted cubic spline curve indicated a nonlinear association between SII and all-cause mortality (P < 0.001), with threshold value of SII at 18.284. There was a 15% decrease in the risk of all-cause mortality for each twofold change in SII on the left flank (HR = 0.85, 95% CI 0.69-1.05) and a 42% increase (HR = 1.42, 95% CI 1.23-1.64) on the right flank of the inflection point. In addition, the risk of cardiovascular mortality increased nonlinearly by 39% per twofold change in SII (HR = 1.39, 95% CI 1.07-1.81). There was also a nonlinear increase in the risk of cardio-cerebrovascular mortality per twofold change in SII (HR = 1.29, 95% CI 1.00-1.66).

CONCLUSIONS

In the general population, the SII was significantly associated with all-cause, cardiovascular, and cardio-cerebrovascular mortality, regardless of the established risk factors.

Multi-inflammatory index as a new predictive and prognostic marker of acute symptomatic seizures in patients with cerebral venous sinus thrombosis

BACKGROUND

The multi-inflammatory index (MII) is a novel marker that indicates the diagnosis, prognosis, and clinical severeness of inflammation-associated diseases. It is indicated that inflammatory biomarkers may help predict the occurrence of acute symptomatic seizures(ASS) after ischemic stroke.

OBJECTIVE

Our goal was to search the predictive and prognostic capability of the MII-1 and MII-2 for ASS in cerebral venous sinus thrombosis (CVST) patients.

METHOD

91 patients with CVST were retrospectively analyzed from the medical records of patients between 2010 and 2023 and divided into the ASS group and non-ASS group. The MII-1 and MII-2 levels on admission, demographic and clinic features, predisposing risk factors, radiological characteristics involving thrombotic cerebral veins, and the type of parenchymal lesions were documented. Modified Rankin Scale (mRS) on admission and at the 3rd month were evaluated to determine the disability.

RESULTS

MII-1 and MII-2 were statistically significantly higher in the ASS group and predictors for the occurrence of seizures with CVST in multivariate analysis. The area under the curve (AUC) of the receiver operating characteristics (ROC) curve for MII-1 was 0.791 (95 %CI = 0.691-0.891, p < 0.001), and AUC for MII-2 was 0.761 (95%CI = 0.660-0.861, p < 0.001). When the clinical variables that were included in the multivariate analysis and MII-1 and MII-2 were combined, the predictive power was greater with the AUC of 0.959. A significant positive correlation was found between mRS at the 3rd month and MII-1 and MII-2 in the ASS group.

CONCLUSION

MII-1 and MII-2 can be used as new predictive and prognostic markers of ASS in patients with CVST.

Association of neutrophil to lymphocyte ratio and D-dimer with functional outcome in patients with cerebral venous sinus thrombosis

BACKGROUND

Investigations on the risk factors for the prognosis of cerebral venous sinus thrombosis (CVST) are limited. This study aimed to explore whether specific inflammatory factors and coagulation indictors are associated with functional outcome in patients treated for CVST.

METHODS

This retrospective study included 137 patients admitted to our hospital between January 2010 and October 2021. The functional outcome was assessed with the modified Rankin Scale (mRS) score at discharge. Patients were divided into two groups, 102 patients with favorable outcomes (mRS 0-1) and 35 patients with poor outcomes (mRS 2-6). The clinical indexes were compared between two groups. Multivariable logistic regression was performed to identify the independent influencing factors for poor outcomes of CVST patients. The prognostic indicators were analyzed using the receiver operating characteristic (ROC) curve.

RESULTS

Compared with the favorable outcome group, the incidence of impaired consciousness and brain lesion, the levels of D-dimer, RDW, neutrophil count, neutrophil to lymphocyte ratio (NLR) and red blood cell distribution width to platelet ratio (%) on admission were significantly higher in the poor outcome group, while the level of lymphocyte count was significantly lower. After multivariable logistic regression analysis, baseline D-dimer level (odds ratio (OR), 1.180; 95% confidence interval (CI), 1.019-1.366, P = 0.027) and NLR (OR, 1.903; 95%CI, 1.232-2.938, P = 0.004) were significantly associated with unfavorable outcome at discharge. The ROC curve analysis showed that the areas under the curve of D-dimer, NLR and their combined detection for predicting worse outcome were 0.719, 0.707 and 0.786, respectively.

CONCLUSIONS

Elevated D-dimer level and NLR on admission were associated with an increased risk of poor functional outcome in patients with CVST.

Systemic immune-inflammation index as a potential biomarker of cardiovascular diseases: A systematic review and meta-analysis

Background

Several studies have investigated the value of the systemic immune-inflammation index (SII) for predicting cardiovascular disease (CVD), but the results were inconsistent. Therefore, a meta-analysis and systematic review were conducted to assess the correlation between SII and risk of CVD.

Materials and methods

Two investigators systematically searched PubMed, Embase, Web of Science, Cochrane library, and CINAHL databases to identify all studies that examined the association between SII levels and CVD. The risk estimates of CVD for people with high SII compared to those with low SII levels and the weighted mean difference (WMD) between the CVD and control groups were pooled using fixed- or random-effects models based on the heterogeneity test. We used the Newcastle-Ottawa Scale to assess the risk of bias in eligible studies, and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system was applied to rate the certainty of evidence.

Results

A total of 13 studies with 152,996 participants were included for analysis. The overall pooled results showed that higher SII was significantly associated with an increased risk of CVD (HR = 1.39, 95%CI: 1.20–1.61, P < 0.001). This increased risk could be observed in almost all CVD subtypes, including ischemic stroke (HR = 1.31, 95%CI: 1.06–1.63, P = 0.013), hemorrhagic stroke (HR = 1.22, 95%CI: 1.10–1.37, P < 0.001), myocardial infarction (HR = 1.11, 95%CI: 1.01–1.23, P = 0.027), and peripheral arterial disease (HR = 1.51, 95%CI: 1.18–1.93, P = 0.001). There were no significant but still similar trends in venous thrombosis (HR = 4.65, 95%CI: 0.66–32.71, P = 0.122), cerebral small vessel disease (HR = 1.09, 95%CI: 0.95–1.25, P = 0.233), and acute coronary syndrome (HR = 1.08, 95%CI: 0.96–1.22, P = 0.200). Furthermore, the pooled results showed that SII levels at the onset of CVD were significantly higher than that in the general population (WMD = 355.2, 95%CI: 234.8–475.6, P < 0.001), which was consistent across different CVD subtypes. The GRADE assessment suggested that the quality of current evidence from observational studies was low or very low.

Conclusion

This study indicated that SII may be a potential biomarker for CVD development and elevated SII is associated with an increased risk of CVD. However, the quality of evidence is generally low. Additional well-designed studies are necessary to determine the optimal cutoff value and to characterize the benefited population.

The Efficacy of the Systemic Immune-Inflammation Index and Prognosis Nutritional Index for the Diagnosis of Venous Thromboembolism in Gastrointestinal Cancers

Purpose

This study aimed to analyze the association between venous thromboembolism (VTE) and inflammatory markers like systemic immune-inflammation index (SII) and prognosis nutritional index (PNI), and to evaluate their efficacy for the diagnosis of VTE in patients with gastrointestinal malignancies.

Patients and Methods

A total of 1326 patients with the initial diagnosis of gastrointestinal cancer in the First Affiliated Hospital of Anhui Medical University (AHMU) were enrolled in the training cohort. Univariate and multivariate analysis was used to pinpoint independent predictors of VTE, which were eventually visualized as the nomogram models. The Akaike Information Criterion (AIC) was used to screen the best model. The receiver operating characteristic curve (ROC) and the clinical decision curve analysis (DCA) were utilized to evaluate the models’ predictive performance in the training queue and another external sample of 250 patients at the Second Affiliated Hospital of AHMU.

Results

A total of 476 patients were complicated with VTE in the training cohort. Multifactorial analysis of clinical characteristics and inflammatory markers showed that PNI, SII, age, tumor location, and therapy were independent risk factors of VTE, visualized as model A. Another model B was constructed by adding coagulation markers to the previous analysis. Model B was the best prediction model with the minimum AIC value, followed by model A with an AUC of 0.806 (95% CI 0.782~0.830) which was similar to model B’s 0.832 (95% CI 0.810~0.855) but significantly higher than the currently widely used Khorana score’s 0.592 (95% CI 0.562~0.621) and the CATS score’s 0.682 (95% CI 0.653~0.712). The external verification yielded similar findings, with the AUC being 0.792 (95% CI 0.734~0.851), 0.834 (95% CI 0.778~0.890), 0.655 (95% CI 0.582~0.729), and 0.774 (95% CI 0.699~0.849) respectively. The DCA curves demonstrated that new models had excellent usefulness in screening patients with a high VTE risk.

Conclusion

The SII and PNI were simple and viable inflammatory markers associated with VTE, and the nomogram based on them and clinical features had a meaningful clinical utility for VTE in patients with gastrointestinal malignancies.

The Diagnostic Value of the Systemic Immune-Inflammation Index for Venous Thromboembolism in Lung Cancer Patients: A Retrospective Study

Background

Venous thromboembolism (VTE) is considered a common complication in lung cancer patients. Despite its widespread use, the Khorana score performed moderately in predicting VTE risk. This study aimed to determine the diagnostic utility of the Systemic Immunoinflammatory Index (SII) and to create a novel nomogram for predicting VTE in patients with pulmonary carcinoma.

Materials and Methods

The data, like clinical features and laboratory indicators, of inpatients diagnosed with lung cancer from March 2019 to March 2020 were collected and analyzed. Univariate and multivariate logistic analyses were performed to confirm the risk factors and then construct a nomogram model. The calibration curve and clinical decision curve analysis (DCA) were used to assess the model's fitting performance. The receiver-operating characteristic (ROC) curve and the area under the ROC curve (AUC) were used to evaluate the diagnostic value of SII and the nomogram.

Results

This study enrolled 369 lung patients with a VTE morbidity rate of 23.33%. The patients with VTE had higher SII levels than the non-VTE group (1441.47 ± 146.28 vs. 626.76 ± 26.04, P < 0.001). SII is the stronger correlator for VTE among inflammatory markers, of which the optimal cut-off value was 851.51. Univariate and multivariate analysis revealed that the age, metastasis, antitumor treatment, hemoglobin<100 g/L, SII>851.51 × 10⁹/L, and D-dimer>2 folds were independent risk factors for lung cancer-related VTE, and a new prediction nomogram model was constructed based on them. ROC curve analysis showed the AUC of the new model and Khorana score were 0.708 (0.643-0.772) and 0.600 (0.531-0.699).

Conclusion

The SII was a simple and valuable biomarker for VTE, and the new nomogram model based on it can accurately forecast the occurrence of VTE. They can be utilized in clinical practice to identify those at high risk of VTE in lung cancer patients.

Inflammation and Severe Cerebral Venous Thrombosis

Cerebral venous thrombosis (CVT) is a rare type of venous thromboembolism (VTE). It is an important cause of stroke in young adults and children. Severe CVT, which is characterized by cerebral venous infarction or hemorrhage, seizures, or disturbance of consciousness, has more severe clinical manifestations and a worse prognosis. It is commonly believed that the onset of severe CVT gave credit to venous return disorder, with the underlying pathogenesis remaining unclear. There is increasing evidence suggesting that an inflammatory response is closely associated with the pathophysiology of severe CVT. Preclinical studies have identified the components of neuroinflammation, including microglia, astrocytes, and neutrophils. After CVT occurrence, microglia are activated and secrete cytokines (e.g., interleukin-1β and tumor necrosis factor-α), which result in a series of brain injuries, including blood-brain barrier disruption, brain edema, and cerebral venous infarction. Additionally, astrocytes are activated at the initial CVT stage and may interact with microglia to exacerbate the inflammatory response. The extent of cerebral edema and neutrophil recruitment increases temporally in the acute phase. Further, there are also changes in the morphology of inflammatory cells, expression of inflammatory mediators, and inflammatory pathway molecules with CVT progression. Lately, some clinical research suggested that some inflammation-related biomarkers are of great value in assessing the course, severity, and prognosis of severe CVT. Moreover, basic and clinical research suggested that anti-inflammatory therapy might hold promise in severe CVT. This study reviews the current literature regarding the involvement of inflammation in the pathophysiology and anti-inflammatory interventions of severe CVT, which would contribute to informing the pathophysiology mechanism and laying a foundation for exploring novel severe CVT therapeutic strategies.

Integrase inhibitor-based regimens are related to favorable systemic inflammatory index and platecrit scores in people living with HIV (PLWH) up to 2 years

OBJECTIVES

Despite the advances in antiretroviral treatment (ART), persistent inflammation remained a challenge. We analyzed the inflammatory-score changes through 2-years in people living with HIV (PLWH) treated with different antiretroviral regimes.

METHODS

This study was conducted in Hacettepe University HIV/AIDS Treatment and Research Center. PLWH diagnosed between 2014 and 2020 were included. Inflammatory and metabolic markers (CD4/CD8 ratio, C-reactive protein (CRP), Systemic Inflammatory Index (SII), Neutrophil-Lymphocyte Ratio (NLR), Mean Platelet Volume (MPV), Platecrite (PCT), and Low-Density Lipoprotein/High-Density Lipoprotein (LDL/HDL), Platelet-to-Lymphocyte Ratio (PLR) and ARTs were captured from database through 2-years from the diagnosis. The 2-year change (Δ) in markers was calculated and compared by ART type (backbone and 3rd agent). Mann-Whitney-U test and T-test were used for statistical analysis.

RESULTS

This study included 205 PLWH; 175 (85.4%) were male, and the mean age was 38.98 (±10.88) years. The number of PLWH with suppressed viremia (<40 HIV-RNA copies/ml) was 164 (80%) at the end of the second year. MPV increased significantly higher among PLWH receiving ABC/3TC compared to PLWH receiving TDF/FTC (p < 0.05). The CD4:CD8 ratio increased, and SII, NLR, LDL/HDL ratios decreased significantly among PLWH treated with integrase strand transfer inhibitors (INSTI) compared with protease inhibitors (PI) and Non-Nucleoside Reverse Transcriptase Inhibitors (NNRTIs) (p < 0.05).

CONCLUSIONS

Integrase inhibitor treatment is related to favorable inflammatory marker profile among PLWH in the 2-year follow-up. A favorable inflammatory profile may, in turn, contribute to the prevention of non-communicable diseases (NCD) among PLWH. This study showed that simple, easy-to-calculate markers could be implemented to define ongoing inflammation among PLWH under suppressive ART.

Monocyte-to-high-density lipoprotein ratio and systemic inflammation response index are associated with the risk of metabolic disorders and cardiovascular diseases in general rural population

BACKGROUND

The present study aimed to clarify the effects of four inflammatory indicators (monocyte-to-high-density lipoprotein ratio [MHR], neutrophil-to-lymphocyte ratio [NLR], systematic immune-inflammation index [SII], and systemic inflammation response index [SIRI]) in evaluating the risk of metabolic diseases and cardiovascular disease (CVD), filling the gap of inflammation-metabolism system research in epidemiology.

METHODS

We conducted a cross-sectional study and multivariable logistic regression analysis to elucidate the association between inflammatory indicators and metabolic diseases and CVD risk. Metabolic diseases were defined as metabolic disorders (MetDs) or their components, such as metabolic syndrome (MetS), dyslipidemia, and central obesity. We calculated the Framingham risk score (FRS) to evaluate 10-year CVD risk.

RESULTS

Odds ratios for the third vs. the first tertile of MHR were 2.653 (95% confidence interval [CI], 2.142-3.286) for MetD, 2.091 (95% CI, 1.620-2.698) for MetS, 1.547 (95% CI, 1.287-1.859) for dyslipidemia, and 1.515 (95% CI, 1.389-1.652) for central obesity. Odds ratios for the third vs. the first tertile of SIRI were 2.092 (95% CI, 1.622-2.699) for MetD, 3.441 (95% CI, 2.917-4.058) for MetS, 1.417 (95% CI, 1.218-1.649) for dyslipidemia, and 2.080 (95% CI, 1.613-2.683) for central obesity. The odds ratio of a 10-year CVD risk of >30% for the third vs. the first tertile of MHR was 4.607 (95% CI, 2.648-8.017) and 3.397 (95% CI, 1.958-5.849) for SIRI.

CONCLUSIONS

MHR and SIRI had a significant association with MetD and its components, in which a higher level of MHR or SIRI tended to accompany a higher risk of metabolic diseases. Furthermore, they also correlated with CVD, and the increment of these indicators caused a gradually evaluated risk of 10-year CVD risk.