The association of neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, and lymphocyte to monocyte ratio with post-thrombolysis early neurological outcomes in patients with acute ischemic stroke

A High Immediate Postoperative Systemic Immune-inflammation Index Is Associated With Postoperative Symptomatic Cerebral Infarction in Moyamoya Patients Undergoing Combined Revascularization Surgery

BACKGROUND

Inflammation plays a role in the pathogenesis of cerebral infarction. Postoperative symptomatic cerebral infarction (SCI) is a complication after revascularization surgery in patients with moyamoya disease (MMD). We investigated the association between the systemic-immune-inflammation index (SII) and postoperative SCI during hospital stay in such patients.

METHODS

Perioperative data were retrospectively obtained from 681 MMD patients who underwent revascularization surgery. SII cutoff values were identified as those where the sum of sensitivity and specificity associated with SCI were highest. Patients were divided into 4 subgroups according to the preoperative and immediate postoperative cutoff SII: HH (preoperative and postoperative SII high, n=22), LH (low preoperative and high postoperative SII, n=68), HL (high preoperative and low postoperative SII, n=125), and LL (preoperative and postoperative SII low, n=466).

RESULTS

Postoperative SCI occurred in 54 (7.6%) patients. The cutoff values for preoperative and immediate postoperative SII were 641.3 and 1925.4, respectively. Postoperative SCI during hospital stay was more frequent in the high postoperative SII group than in the low postoperative SII group (25.6% vs. 4.9%; P <0.001). Multivariate analysis revealed that a high immediate postoperative SII was a predictor of postoperative SCI (odds ratio, 11.61; 95% CI: 5.20-26.00; P <0.001). Postoperative SCI was lower in group LL than in group LH (3.6% vs. 23.5%, P <0.008) and was lower in group HL than in groups HH and LH (9.6% vs. 31.8% and 23.5%, both P <0.05).

CONCLUSIONS

A high immediate postoperative SII was associated with postoperative SCI during hospital stay in MMD patients who underwent revascularization surgery.

Increased peripheral leukocyte aggravates brain injury and leads to poor outcome in stroke patients receiving intravenous thrombolysis: A study based on clinical evidence

Whether the dynamic development of peripheral inflammation aggravates brain injury and leads to poor outcome in stroke patients receiving intravenous thrombolysis (IVT), remains unclear and warrants further study. In this study, total of 1034 patients with acute ischemic stroke who underwent IVT were enrolled. Serum leukocyte variation (whether increase from baseline to 24 h after IVT), National Institutes of Health Stroke Scale (NIHSS), infarct volume, early neurologic deterioration (END), the unfavorable outcome at 3-month (modified Rankin Scale [mRS] score ≥3) and mortality were recorded. Serum brain injury biomarkers, including Glial fibrillary acidic protein (GFAP), ubiquitin c-terminal hydrolase L1 (UCH-L1), S100β, neuron-specific enolase (NSE), were measured to reflect the extent of brain injury. We found that patients with increased serum leukocytes had elevated brain injury biomarkers (GFAP, UCH-L1, and S100β), larger infarct volume, higher 24 h NIHSS, higher proportion of END, unfavorable outcome and mortality. Furthermore, an increase in serum leukocytes was independently associated with infarct volume, 24 h NIHSS, END, and unfavorable outcome at 3 months, and serum UCH-L1, S100β, and NSE levels. These results suggest that an increase in serum leukocytes indicates severe brain injury and may be used to predict the outcome of patients with ischemic stroke who undergo IVT.

Risk Warning of Neutrophil-to-Lymphocyte Ratio for Neurological Recovery in Acute Ischemic Stroke After Thrombolysis: A Retrospective Study

BACKGROUND

To investigate the relationship between dynamic changes in the neutrophil-to-lymphocyte ratio (NLR) and neurological recovery in noninfected patients with acute cerebral infarction after thrombolysis.

METHODS

A retrospective analysis was conducted on 277 patients with stroke thrombolysis. Least absolute shrinkage and selection operator (LASSO) regression was used to identify factors influencing recovery, and 1:1 propensity matching was performed between the groups to compare the changes in the National Institutes of Health Stroke Scale (NIHSS) score, muscle strength, and NLR after treatment. The receiver operating characteristic (ROC) curve was used to determine the cutoff value of NLR reduction after treatment, which serves as a diagnostic criterion for neurologic recovery. The posttreatment NLR reduction values were categorized according to whether they were equal to and greater than the cutoff value. Logistic regression was performed after intergroup matching to analyze the relationship between NLR and NIHSS.

RESULTS

The LASSO regression suggests that increased disease duration and atrial fibrillation are risk factors for neurologic recovery, whereas prolonged treatment duration and increased NLR reduction value are protective factors. Compared with the low-efficacy group, the high-efficacy group exhibited significantly lower NIHSS scores, NLR, and upper and lower extremity muscle strength scores after treatment (p < 0.05). The NLR reduction value was positively correlated with the NIHSS score reduction value and the change in the NIHSS score reduction rate (p < 0.001). The ROC curve and logistic regression indicated that patients with an NLR reduction value of ≥ 0.335 had good recovery.

CONCLUSIONS

Higher NLR reduction values indicate an improved neurologic prognosis after treatment.

TRIAL REGISTRATION

Clinical Retrospectively Registered Trials: ChiCTR2100045415.

Predicting cardiovascular disease and all-cause mortality using the lymphocyte-to-monocyte ratio: Insights from explainable machine learning models

Background

Cardiovascular disease (CVD) is a leading cause of death globally, with its incidence and mortality rates continuing to rise. While commonly used biomarkers such as low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and blood glucose are widely applied, they have certain limitations. This study investigates the lymphocyte-to-monocyte ratio (LMR), a simple immune biomarker associated with inflammation, to assess whether it can serve as a new marker for predicting chronic inflammation in cardiovascular disease, and compares it to traditional biomarkers.

Methods

We conducted a cross-sectional analysis of data from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018, utilizing a cohort of 1518 participants with a median follow-up period of 150 months. During this time, 522 participants died, including 166 from cardiovascular disease. We employed various statistical methods, including weighted Cox proportional hazards models, restricted cubic spline models, and time-varying receiver operating characteristic curves, to examine the association between LMR and mortality risk.

Results

The analysis revealed an L-shaped relationship between LMR and the incidence of cardiovascular disease. Lower LMR levels were negatively correlated with all-cause and cardiovascular mortality. The XGBoost model yielded the best performance metrics (AUC and F1 scores), and SHAP value analysis indicated that LMR significantly contributes to CVD outcomes. Non-linear analyses confirmed a stable negative correlation between LMR and all-cause mortality.

Conclusion

The study concludes that LMR is a simple and practical indicator for predicting cardiovascular disease and its mortality. Low levels of LMR significantly increase the risk of both cardiovascular disease and all-cause mortality in patients.

Admission Neutrophil-to-Lymphocyte Ratio Is Superior to WBC Count at Predicting the Presence and Severity of Pediatric Musculoskeletal Infection

BACKGROUND

Accurately determining the presence and severity of pediatric musculoskeletal infection (MSKI) is crucial for effective triage and treatment. Although the white blood-cell (WBC) count is often used as a marker for MSKI, we hypothesized that the use of the WBC count is limited by age-related variability in children. We proposed that the absolute neutrophil-to-lymphocyte ratio (NLR), which has less age-related variability, is a more reliable indicator for both diagnosing and assessing the severity of MSKI. The present study aims to compare the utility of WBC against that of the NLR, as well as C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR), for predicting MSKI presence and severity in children.

METHODS

A retrospective cohort study was conducted with use of a database of pediatric orthopaedic consultations for suspected MSKI between January 2013 and July 2022. Diagnoses were categorized as MSKI or no infection, and the severity of any present infection was stratified as local or disseminated. Admission laboratory values were collected. Statistical modeling was performed to assess the capabilities of the WBC, NLR, CRP, and ESR to diagnose MSKI and to assess infection severity, with cutoff thresholds established for clinical use.

RESULTS

This study included 650 patients (median age, 5.2 years; 63% male; 75% White). Of these, 247 patients had no infection, while 403 were diagnosed with an MSKI. Median WBC count, NLR, CRP, and ESR were all significantly higher in pediatric cases of confirmed MSKI. WBC was a poor predictor of infection severity, whereas NLR, CRP, and ESR each positively correlated with infection severity. At the time of admission, an NLR of 4 was highly specific for detecting the presence of infection, and an NLR of 5.8 was highly specific for predicting infection dissemination. CRP was the best predictor of both infection presence and severity, demonstrating the highest specificity and sensitivity, followed by NLR, which outperformed ESR and WBC.

CONCLUSIONS

Because of considerable age-related variability, the predictive value of the WBC count for pediatric MSKI presence and severity is limited. NLR, which is less affected by age-related variability, is superior at predicting MSKI severity. Although CRP remains the benchmark, the NLR offers a valuable alternative to the WBC. Our study provides a comparative framework for these biomarkers, enhancing MSKI assessment across various clinical settings.

LEVEL OF EVIDENCE

Diagnostic Level III. See Instructions for Authors for a complete description of levels of evidence.

The association between variation of neutrophil-to-lymphocyte ratio and post-thrombolysis early neurological outcomes in patients with stroke of different TOAST classification

Recent studies have shown that the neutrophil-to-lymphocyte ratio (NLR) can predict short-term and long-term outcomes in acute ischemic stroke (AIS) patients. However, the relationship of the variation of NLR (ΔNLR) with hemorrhage transformation (HT) and early neurological improvement (ENI) after intravenous thrombolysis (IVT) remains unclear. This study aimed to investigate the impact of ΔNLR on HT and ENI at 24 h post-IVT and its association with different TOAST classifications. AIS patients undergoing IVT between October 2021 and October 2023 were enrolled and classified by TOAST criteria. Patients were grouped based on the presence or absence of HT and ENI. Our study demonstrated that both HT and ENI were associated with ΔNLR, which was an independent influencing factor for HT and ENI following IVT. Specifically, the ΔNLR in the small artery occlusion (SAO) group was higher than that in the minor stroke of large artery atherosclerosis (LAA) subtype. Thus, ΔNLR may serve as a useful biomarker to assist in diagnosis and monitor the outcomes of thrombolytic therapy in AIS patients.

A Nomogram Incorporating Intracranial Atherosclerosis Score for Predicting Early Neurological Deterioration in Minor Stroke Patients With Type 2 Diabetes Mellitus

Purpose

Early neurological deterioration (END) frequently complicates acute ischemic stroke (AIS), worsening prognosis, particularly in patients with type 2 diabetes mellitus (T2DM), where hyperglycemia accelerates atherosclerosis, increasing both stroke risk and subsequent END. This study aimed to identify predictors of END in minor stroke patients with T2DM and develop a nomogram integrating these factors with intracranial atherosclerosis (ICAS) scores, evaluating its performance against various machine learning (ML) models.

Methods

We retrospectively analyzed clinical data from 473 minor stroke patients with T2DM treated at our hospital between January 2021 and December 2023. Utilizing LASSO and multivariate logistic regression, we identified characteristic predictors. The cohort was randomly allocated into training (n = 331) and validation (n = 142) groups. Six ML algorithms-SVM, LR, RF, CART, KNN, and Naive Bayes-were assessed, and nomograms were used to visualize the predictive model's performance, evaluated via Area Under the Curve (AUC), calibration plot, and Decision Curve Analysis (DCA).

Results

The ICAS score has been recognized as a pivotal determinant of END, alongside four other significant factors: NIHSS score, low-density lipoprotein cholesterol (LDL-C) levels, presence of branch atheromatous disease (BAD), and stenosis of the responsible vessel ≥50%. The model demonstrated robust predictive capabilities, achieving strong performance in training (AUC = 0.795) and validation (AUC = 0.799) sets. This advanced ML model, which integrates biochemical and imaging indicators, enables accurate risk assessment for END in minor stroke patients with T2DM.

Conclusion

By integrating the ICAS score with the NIHSS score, LDL-C levels, presence of BAD, and stenosis of responsible vessels ≥50%, we developed a clinical model for predicting END in patients with minor stroke and T2DM. This model provides critical decision support for clinicians, facilitating early identification of high-risk patients, personalized treatment, and improved outcomes.

A predictive model for early neurological deterioration after intravenous thrombolysis in patients with ischemic stroke

Objective

Intravenous thrombolysis (IVT) is the treatment of choice for acute ischemic stroke (AIS), but some patients develop early neurological deterioration (END) within 24 h after IVT. Therefore, we aimed to identify predictors of END in AIS patients following treatment with IVT.

Methods

We retrospectively analyzed the clinical data of 621 AIS patients who received IVT with recombinant tissue-type plasminogen activator (rt-PA) at the Stroke Centre of the People's Hospital of Lu'an City, China, from July 2018 to July 2023. Clinical data, including demographic characteristics, clinical assessment results, underlying diseases, and laboratory indices, were collected at the time of admission. The patients were divided into training and validation cohorts, after which LASSO regression was applied to select the most important predictor variables, and multivariate logistic regression was used to construct a nomogram. The discriminative power of the model was determined by calculating the area under the curve (AUC), and calibration and decision curve analyses (DCA) were performed.

Results

The platelet-to-lymphocyte ratio (PLR) (OR 1.01, 95% CI 1.01-1.01, p < 0.001), mean platelet corpuscular volume (MPV) (OR 2.12, 95% CI 1.67-2.69, p < 0.001), and admission NIHSS score (OR 1.25, 95% CI 1.16-1.36, p < 0.001) were significantly associated with the development of END. The AUC of the prediction model constructed from these three factors was 0.896 (95% CI 0.862-0.93), and the calibration curve was close to the diagonal.

Conclusion

This predictive model can be used for the early identification of the risk of developing END after IVT and development of active interventions to improve the prognosis of AIS.

The Role of Mature Brain-Derived Neurotrophic Factor and Its Precursor in Predicting Early-Onset Insomnia in Stroke Patients Experiencing Early Neurological Deterioration

Background

The investigation and management of early-onset insomnia (EOI) in patients undergoing early neurological deterioration (END) appear to be insufficiently prioritized in clinical practice. Brain-derived neurotrophic factor (mBDNF) and its precursor, proBDNF, play essential roles in neuroplasticity and may be involved in the pathophysiological mechanisms underlying EOI. This study aimed to investigate the associations of serum mBDNF, proBDNF, and the mBDNF/proBDNF ratio with EOI in stroke patients experiencing END.

Methods

In a prospective cohort study from October 2021 to December 2023, 232 stroke patients with END and 56 healthy controls (HCs) were enrolled. Serum levels of mBDNF and proBDNF were quantified using enzyme-linked immunosorbent assays. EOI was diagnosed according to the International Classification of Sleep Disorders, Third Edition (ICSD-3). Patients with END were categorized into subgroups based on the presence or absence EOI.

Results

Serum levels of mBDNF, proBDNF, and the mBDNF/proBDNF ratio were significantly lower in END patients compared to those in HCs (all p < 0.05). Among the 232 END patients, 82 (35.3%) developed EOI. Those with EOI had significantly lower levels of mBDNF and the mBDNF/proBDNF ratio compared to those without EOI (all p < 0.001). Multivariate logistic regression analysis revealed that male gender (p = 0.026), Hamilton Depression Rating Scale (HAMD) scores (p < 0.001), mBDNF (p = 0.009), and the mBDNF/proBDNF ratio (p < 0.001) were independent predictors of EOI in END patients. The areas under the curve (AUC) for mBDNF and the mBDNF/proBDNF ratio were 0.686 and 0.778, respectively.

Conclusion

Our study identified a correlation between reduced mBDNF levels and a decreased mBDNF/proBDNF ratio with the development of EOI in END patients. In addition, the mBDNF/proBDNF ratio may provide greater insight as a promising biomarker for EOI than mBDNF or proBDNF alone.

Role of the platelet-lymphocyte ratio as a prognostic indicator in patients with intracranial hemorrhage: A systematic review and meta-analysis

BACKGROUND

The prognostic value of platelet-lymphocyte ratio (PLR) in ischemic stroke had been investigated in previous studies. However, the results of studies on PLR in patients with intracranial hemorrhage (ICH) are inconsistent. We aimed to conduct a meta-analysis to determine the prognostic value of PLR in predicting functional outcome and mortality in patients with ICH.

METHODS

We searched the databases of PubMed, Embase, the Cochrane Library, and CNKI for relevant studies up to 10th June 2024. The Newcastle Ottawa Quality Assessment Scale (NOS) was applied to evaluate the quality of the included studies. We calculated the pooled odds ratios (OR) with 95% confidence intervals (CI) between PLR and both functional outcome (as measured by the modified Rankin Scale, mRS) as well as mortality. Poor functional outcomes were defined as mRS > 2.

RESULTS

A total of 6 studies with 2992 patients were included. The random effects meta-analysis demonstrated that elevated PLR exhibited an association with poor functional outcome in patients with ICH (OR = 1.69; 95% CI [1.39-2.07]; P<0.0001; I2 = 24%). Similarly, elevated PLR was associated with mortality in patients with ICH (OR = 1.65; 95% CI [1.12-2.43]; P = 0.01; I2 = 31%).

CONCLUSION

This study suggested that elevated PLR was significantly associated with poor functional outcome (mRS>2) and increased mortality, indicating that elevated PLR could serve as a reliable a prognostic factor for unfavorable clinical outcomes in patients with ICH. It is advisable to conduct extensive prospective investigations across diverse ethnic backgrounds to verify the accuracy of this correlation prior to its utilization in clinical settings.

Segmented neutrophil-to-monocyte ratio and systemic immune-inflammation index associated with the severity and functional prognosis of acute ischemic stroke

PURPOSE/AIM OF THE STUDY

To identify the inflammation indexes associated with the severity and functional prognosis in ischemic stroke.

MATERIAL AND METHODS

A prospective study was conducted with ischemic stroke cases included in the i-ReNe clinical registry. Patients were divided into groups according to the severity on admission measured by the National Institutes of Health Stroke Scale (NIHSS) and the functional prognosis at 30 and 90 days of discharge measured by the modified Rankin Scale (mRS).

RESULTS

We included 145 patients with a mean age of 61.5 ± 12.75, 97 (66.9%) were men. The leukocyte and neutrophil counts, Neutrophil-to-Lymphocyte ratio (NLR), Derived Neutrophil-to-Lymphocyte ratio (dNLR), Platelet-to-Lymphocyte ratio (PLR), Segmented Neutrophil-to-Monocyte ratio (SeMo ratio), and Systemic Immune-inflammation index (SII) were higher in moderate-to-severe stroke (NIHSS ≥6). NLR, PLR, SeMo ratio, and SII were higher in the group with severe disability and death at 30 days (mRS ≥4). In the multiple logistic regression analyses, SeMo ratio >14.966 and SII >623.723 were associated with moderate-to-severe stroke (NIHSS ≥6). In addition, SeMo ratio >7.845 was associated with severe disability and death at 30 days (mRS ≥4).

CONCLUSIONS

Systemic inflammation indexes could be rapid and low-cost markers used in the initial evaluation of ischemic stroke, whose values could help to stratify patients according to their severity and functional prognosis. This is the first study to establish a relationship between ischemic stroke and the SeMo ratio.

MicroRNA-155 Inhibition Activates Wnt/β-Catenin Signaling to Restore Th17/Treg Cell Balance and Protect against Acute Ischemic Stroke

Acute ischemic stroke (AIS) is a severe neurological disease associated with Th17/Treg cell imbalance and dysregulation of the Wnt/β-catenin signaling pathway. This study investigates whether miR-155 inhibition can activate Wnt/β-catenin signaling, improve Th17/Treg balance, and provide neuroprotection against stroke. We conducted a multilevel experimental design, including high-throughput sequencing, bioinformatics analysis, in vivo mouse models, and in vitro cell experiments. High-throughput sequencing revealed significant differential gene expression between the miR-155 antagomir-treated and control groups (BioProject: PRJNA1152758). Bioinformatics analysis identified key genes linked to Wnt/β-catenin signaling and Th17/Treg imbalance. In vitro experiments confirmed that miR-155 inhibition activated Wnt/β-catenin signaling and improved Th17/Treg ratios. In vivo studies demonstrated that miR-155 antagomir treatment provided significant neuroprotection against AIS. These findings suggest that targeting miR-155 could be a promising therapeutic strategy for stroke by modulating immune balance and key signaling pathways.

The association between the neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio and delirium in ischemic stroke patients

Background

Delirium is a severe neuropsychiatric symptom following acute ischemic stroke (IS) and is associated with poor outcomes. Systemic inflammation and immune dysregulation are believed to contribute to the pathophysiology of delirium. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) are widely recognized as convenient and reliable biomarkers of systemic inflammation. However, their association with delirium after IS remains unclear.

Methods

In this study, we identified IS patients requiring ICU admission from the Medical Information Mart for Intensive Care (MIMIC)-IV database. We employed multivariable logistic regression and restricted cubic splines (RCS) to assess the association between the NLR, PLR, and LMR and delirium. Two-sample Mendelian randomization (MR) analysis was performed to further explore their causal relationship at the genetic level.

Results

A total of 1,436 patients with IS were included in this study, of whom 214 (14.9%) had delirium. In the multivariate logistic regression analysis, after adjustment for confounders, the patients in the highest quartile of the NLR (odds ratio [OR] 2.080, 95% confidence interval [CI], 1.282-3.375) and LMR (OR 0.503, 95% CI 0.317-0.798) and the patients in the second quartile of the PLR (OR 1.574, 95% CI 1.019-2.431) were significantly associated with delirium. The RCS function showed a progressive increase in the risk of delirium with higher NLR and PLR and lower LMR. In the MR analysis, only the PLR was negatively associated with the risk of delirium.

Conclusion

The observational studies found significant associations between the NLR, PLR, and LMR and delirium. However, the MR analysis only demonstrated a potential protective causal relationship between the PLR and delirium. Further prospective studies are needed to validate their association and to elucidate the underlying mechanisms.

An L-shaped association between lymphocyte-to-monocyte ratio and erectile dysfunction in NHANES 2001-2004

This study aimed to explore the relationship between the lymphocyte/monocyte ratio (LMR) and erectile dysfunction (ED) in adult men in the United States using a comprehensive dataset. A cross-sectional study design was used to analyze the relationship between the lymphocyte-to-monocyte ratio (LMR) and the prevalence of erectile dysfunction (ED) among adult male participants in the NHANES 2001-2004 dataset. Statistical analyses were performed to adjust for potential confounders and explore non-linear associations, with LMR categorized into quartiles to investigate the relationship with ED prevalence. There was an L-shaped relationship between LMR and ED. The odds of ED decreased as LMR levels increased, but beyond a value of 3.50, the protective effect plateaued. Specifically, the odds of ED significantly decreased for LMR values ≤ 3.50 (OR = 0.67, 95% CI: 0.49-0.90, p = 0.009). Beyond an LMR of 3.50, there was no significant further reduction in the odds of ED, indicating a diminishing protective effect past this threshold. There is a distinctly L-shaped and negative correlation between LMR and ED in the NHANES dataset from 2001 to 2004.

Esculetin facilitates post-stroke rehabilitation by inhibiting CKLF1-mediated neutrophil infiltration

Esculetin (ESC) is a coumarin-derived phytochemical prevalent in traditional Chinese medicine that exhibits anti-acute ischemic stroke activities. Our previous studies demonstrate that CKLF1 is a potential anti-stroke target for coumarin-derived compound. In this study we investigated whether CKLF1 was involved in the neuroprotective effects of ESC against photothrombotic stroke in mice. The mice were treated with ESC (20, 40 or 80 mg·kg-1·d-1, i.g.) for two weeks. The therapeutic effect of ESC was assessed using MRI, neurological function evaluation, and a range of behavioral tests on D1, 3, 7 and 14 of ESC administration. We showed that oral administration of ESC dose-dependently reduced the cerebral infarction volume within one week after stroke, improved behavioral performance, and alleviated neuropathological damage within two weeks. Functional MRI revealed that ESC significantly enhanced the abnormal low-frequency fluctuation (ALFF) value of the motor cortex and promoted functional connectivity between the supplementary motor area (SMA) and multiple brain regions. We demonstrated that ESC significantly reduced the protein levels of CKLF1 and CCR5, as well as the CKLF1/CCR5 protein complex in the peri-infarcted area. We showed that ESC (0.1-10 μM) dose-dependently blocked CKLF1-induced chemotactic movement of neutrophils in the Transwell assay, reducing the interaction of CKLF1/CCR5 on the surface of neutrophils, thereby reducing neutrophil infiltration, and decreasing the expression of ICAM-1, VCAM-1 and MMP-9 in the peri-infarct tissue. Knockout of CKLF1 reduced brain infarction volume and motor dysfunction after stroke but also negated the anti-stroke efficacy and neutrophil infiltration of ESC. These results suggest that the efficacy of ESC in promoting post-stroke neural repair depends on its inhibition on CKLF1-mediated neutrophil infiltration, which offering novel perspectives for elucidating the therapeutic properties of coumarins.

Evaluation of systemic immune-inflammation index and systemic inflammation response index in the differentiation of acute Ischemic stroke and transient Ischemic attack

Objective

The aim of this study was to examine the levels of hematologic parameters in acute ischemic stroke (AIS) and transient ischemic attack (TIA) and to evaluate the use of Neutrophil/Lymphocyte ratio (NLR), Systemic Immune-Inflammation Index (SII), and systemic inflammation response index (SIRI) in the differentiation of AIS and TIA.

Materials and Methods

Data and hematological results of patients admitted to the emergency department and diagnosed with AIS and TIA were compared retrospectively.

Results

The study included 36 TIA patients (M/F = 15/21) with a mean age of 64.52 ± 15.597 years and 74 AIS patients (M/F = 35/39) with a mean age of 71.91 ± 13.86 years. Laboratory data showed that lymphocyte count (p = 0.022) and hemoglobin level (p = 0.017) were significantly higher in AIS patients. In addition, monocyte count (p = 0.001), neutrophil/lymphocyte ratio (NLR) (p < 0.001), CRP level (p = 0.007), and SII (p = 0.001) and SIRI values (< 0.001) were significantly increased in AIS patients compared to TIA patients.

Conclusion

The results obtained in the present study show that hematologic inflammatory parameters are increased in AIS. NLR, SII and SIRI may provide insight in the differential diagnosis of AIS and TIA.

Association of lymphocyte-to-C-reactive protein ratio with cerebral small vessel disease: a cross-sectional study based on dose-response analysis

Objective

We investigated the relationship between lymphocyte-to-C-reactive protein ratio (LCR) and common imaging markers of cerebral small vessel disease (CSVD).

Methods

Data from 835 CSVD patients were analyzed using univariate and multivariate logistic regression to determine CSVD-associated factors. Multivariate models assessed the association between LCR and CSVD, including common imaging markers. Subgroup analysis by age, sex, smoking history, hypertension, lipid levels, and other factors was conducted. The receiver operating characteristic curve analysis and 10-fold cross-validation were performed to evaluate the predictive performance of LCR.

Results

Lymphocyte-to-C-reactive protein ratio was independently associated with a decreased risk of CSVD (p < 0.001), indicating a protective role of LCR against CSVD. Among the imaging markers of CSVD, LCR in the highest quartile was negatively associated with moderate-to-severe white matter hyperintensities (WMH) (p = 0.002) and moderate-to-severe enlarged perivascular spaces (EPVS) (p < 0.001), but not with lacune (p > 0.05). The restrictive cubic spline analysis revealed a linear dose-response relationship between log-transformed LCR and the incidence of CSVD (P non-linear = 0.090) as well as moderate-to-severe WMH (P non-linear = 0.304), with a non-linear association with moderate and severe EPVS (P non-linear = 0.001). In the subgroup analyses, LCR remained a significant association with CSVD in most subgroups (p < 0.05). Notably, a significant correlation was observed between LCR and CSVD (p < 0.001) in the subgroups of non-smokers, those with neutrophil count ≤6.3 × 109/L, and with high-density lipoprotein cholesterol ≥1 mmol/L. No interaction effect was identified between the variables and the LCR (p > 0.1). The predictive capability of LCR for CSVD was confirmed through receiver operating characteristic curve analysis.

Conclusion

Lymphocyte-to-C-reactive protein ratio is an independent protective factor for CSVD and is associated with lower WMH or EPVS burden but not lacune. Inflammation is involved in CSVD pathophysiology through multiple pathways, providing potential targets for CSVD intervention.

Derived Neutrophil-to-Lymphocyte and Neutrophil-to-Platelet Ratios Distinguish Sinusitis-Related Orbital Cellulitis From Periorbital Necrotizing Fasciitis

PURPOSE

Periorbital necrotizing fasciitis (NF) and sinusitis-related orbital cellulitis (OC) present with common clinical features, although the management algorithms for these ailments vary considerably. Previous investigations have failed to identify biomarkers that distinguish between these entities. This study was designed to explore the role of the derived neutrophil-to-lymphocyte and neutrophil-to-platelet ratios in discerning NF from OC.

METHODS

The derived neutrophil-to-lymphocyte and neutrophil-to-platelet ratios were calculated in nonimmunocompromised adult patients with NF and OC from the first blood draw upon presentation to the emergency department at a single academic medical center. Mann-Whitney nonparametric analyses and the area under the receiver-operator curve were analyzed via a dedicated computerized software package.

RESULTS

A total of 16 patients with NF (mean age = 54.5 years) and 12 patients with OC (mean age = 50.8 years) were identified. The mean derived neutrophil-to-lymphocyte ratios were 5.74 (standard deviation = 4.20) and 2.36 (standard deviation = 1.75) for NF and OC, respectively (p = 0.0037), resulting in an area under the receiver-operator curve of 0.82 (95% confidence interval = 0.66-0.98). The mean neutrophil-to-platelet ratios were 0.073 (standard deviation = 0.044) and 0.020 (standard deviation = 0.0084) for NF and OC, respectively (p < 0.001), yielding an area under the receiver-operator curve of 0.92 (95% confidence interval = 0.80-1.00).

CONCLUSIONS

In nonimmunocompromised adult patients, the derived neutrophil-to-lymphocyte ratio and neutrophil-to-platelet ratio both appear to distinguish NF from OC. While further study is required in larger cohorts to ensure the robustness of these findings, these initial results suggest that these biomarkers may be coupled with appropriate examinations to diagnose patients with these conditions and initiate the appropriate steps in the management of patients with orbital infectious disease.

Impact of Neutrophil-to-Lymphocyte Ratio on Stroke Severity and Clinical Outcome in Anterior Circulation Large Vessel Occlusion Stroke

Background: The prognostic value of the neutrophil-lymphocyte ratio (NLR) in ischemic stroke remains debated due to cohort variability and treatment heterogeneity across studies. This study evaluates the relationship between admission NLR, stroke severity and 90-day outcomes in patients with anterior circulation large vessel occlusion (LVO) undergoing early, successful revascularization. Methods: A retrospective multicenter study was conducted with 1082 patients treated with mechanical thrombectomy for acute ischemic stroke. The relationship between admission NLR, baseline National Institutes of Health Stroke Scale (NIHSS), 24 h NIHSS and 90-day modified Rankin Scale (mRS) outcomes was analyzed using logistic regression. Results: Admission NLR correlated weakly but significantly with both baseline (p = 0.018) and 24 h (p = 0.005) NIHSS scores, reflecting stroke severity. However, multivariate analysis showed that higher 24 h NIHSS scores (OR 0.831, p = 0.000) and prolonged puncture-to-recanalization times (OR 0.981, p = 0.000) were independent predictors of poor 90-day outcomes, whereas NLR was not (p = 0.557). Conclusions: Admission NLR is associated with stroke severity but does not independently predict clinical outcomes at 90 days in patients achieving early and successful revascularization. These findings underscore the critical role of inflammation in the acute phase of stroke but suggest that its prognostic value for long-term outcomes is limited in this context.

A study on the relationship between neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in neurosurgery and the occurrence and prognosis of progressive hemorrhagic brain injury (PHI) in patients with traumatic brain injury

OBJECTIVE

To investigate the correlation between neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in neurosurgery and their impact on the occurrence and prognosis of acute traumatic progressive hemorrhagic brain injury (PHI) among traumatic brain injury patients.

METHOD

A retrospective analysis encompassed 220 traumatic brain injury patients treated between 2019 and 2022. Patients were categorized into two groups: those experiencing progressive hemorrhagic brain injury (PHI) and those without PHI. The levels of neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) were examined within each group. Within the PHI cohort, patients were further stratified based on their Glasgow Outcome Scale (GOS) scores into good and poor prognosis groups, with corresponding observations of NLR and PLR levels. Logistic regression was used to identify factors influencing both the occurrence and poor prognosis of PHI. Additionally, Pearson's linear analysis was utilized to investigate the correlation between serum NLR and PLR levels among PHI patients and the occurrence and prognosis of the disease.

RESULT

We found no statistically significant differences were observed between the PHI group and the non-PHI group in terms of gender, age, history of hypertension, smoking history, types of intracranial lesions, heart rate (HR), Injury Severity Score (ISS), Abbreviated Injury Scale (AIS), pupillary reflex status, mean arterial pressure (MAP), intracranial pressure (ICP), and cerebral perfusion pressure (CPP) (P > 0.05). However, there were significant differences in GCS scores, PaO2, and Hb levels (P < 0.05). Furthermore, the non-PHI group had higher NLR and PLR than the PHI group (P < 0.05). Multiple Logistic regression analysis showed that neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) were independent risk factors for progressive hemorrhagic brain injury (PHI) in TBI patients (P < 0.05). Kendall analysis showed that there was a significant negative correlation between GOS score PHI (r=-0.458, P = 0.000). Additionally, Pearson linear correlation analysis showed a notable positive correlation between serum NLR and PLR levels in PHI patients and the occurrence of the disease (r = 0.377, P = 0.000). Evaluation based on the Glasgow Outcome Scale (GOS) score demonstrated no significant differences in gender, age, history of hypertension, smoking, types of intracranial lesions, heart rate (HR), Injury Severity Score (ISS), Abbreviated Injury Scale (AIS), pupillary reflex status, mean arterial pressure (MAP), intracranial pressure (ICP), and cerebral perfusion pressure (CPP) between the good and poor prognosis groups but significant differences in GCS score, PaO2, and Hb levels (P < 0.05). In addition, the NLR and PLR of the poor prognosis group were higher than those of the good prognosis group (P < 0.05). Multiple Logistic regression analysis showed that NLR and PLR were independent risk factors for poor prognosis in PHI patients (P < 0.05). Pearson linear correlation analysis showed a statistically significant positive correlation between serum NLR and PLR levels in PHI patients and the likelihood of poor prognosis (r = 0.307, P = 0.000).

CONCLUSION

Elevated NLR to PLR ratios in TBI patients significantly elevate the risk of PHI occurrence. Moreover, higher NLR to PLR ratios correlate with poorer prognostic outcomes among PHI patients.

The Role of Complete Blood Count-Derived Inflammatory Biomarkers as Predictors of Infection After Acute Ischemic Stroke: A Single-Center Retrospective Study

Background and Objectives: Although a wide range of hematological parameters are used as blood-based inflammatory biomarkers, the role of complete blood count-derived inflammatory biomarkers in infection after acute ischemic stroke (AIS) is modest. Therefore, this study aimed to explore complete blood count-derived inflammatory biomarkers as predictors of infection after AIS. Materials and Methods: A single-center retrospective cross-sectional study was carried out at the National Brain Center Hospital Prof. Dr. dr. Mahar Mardjono, Jakarta, Indonesia, between 1 October 2023, and 31 March 2024, using medical records of hospitalized first-ever ischemic stroke patients who underwent a complete blood count within 24 h of admission. Based on complete blood count-derived inflammatory biomarkers, this study included absolute numbers and related ratios or indices. Results: In total, 163 patients met the study criteria. The diagnosis of infection after AIS was established using reliable clinical symptoms and/or guidelines of the disease. According to the status of infection after AIS, the subjects were categorized into two groups, including 24 patients in the infection group and 139 patients in the non-infection group. Biomarkers that had significant accuracy (higher sensitivity and specificity, respectively) in predicting infection were the leukocyte count (LC; 70.8%, 74.1%, p < 0.001), absolute neutrophil count (ANC; 66.7%, 79.9%, p < 0.001), absolute monocyte count (AMC; 75.0%, 63.3%, p = 0.001), neutrophil to lymphocyte ratio (NLR; 62.5%, 71.9%, p = 0.003), derivative NLR (dNLR; 50.0%, 78.4%, p = 0.003), monocyte-granulocyte to lymphocyte ratio (MGLR; 62.5%, 73.0%, p = 0.003), systemic inflammatory response index (SIRI; 62.5%, 79.0%, p = 0.001), and systemic immune inflammation index (SII; 87.5%, 44.0%, p = 0.012) with chances of 74.4%, 75.4%, 71.0%, 69.0%, 68.7%, 69.3%, 73.4%, and 66.2%, respectively. Conclusions: Considering the overall ROC curve used to evaluate the complete blood count-derived inflammatory biomarkers, ANC has a better ability to predict infection in AIS patients, as denoted by the highest AUC, suggesting a 75.4% chance of correctly discriminating patients with infection after stroke.

Combination of White Matter Hyperintensity and Neutrophil-to-Lymphocyte Ratio Predicts Short-Term Prognosis of Acute Ischemic Stroke Patients

Purpose

To assess the value of combination of white matter hyperintensity (WMH) and neutrophil-to-lymphocyte ratio (NLR) in predicting short-term prognosis of acute ischemic stroke (AIS) patients.

Patients and Methods

Three hundred and nine AIS patients were included in this prospective observational research. They were evaluated at 3-month after the onset of AIS using modified Rankin Scale (mRS) score. A mRS score of 0-2 was defined as a favourable outcome, while an mRS score of 3-6 was defined as an unfavourable outcome. Multivariate analysis was used to identify the independent associations of WMH and NLR with short-term prognosis of AIS patients, and receiver operating characteristic (ROC) curves were used to evaluate the predictive values of WMH, NLR and their combination for short-term prognosis of AIS patients, and Z test was used to compare the area under curve (AUC).

Results

Among 309 AIS patients, 201 (65.0%) had a favorable 3-month outcome, while 108 (35.0%) had an unfavorable outcome. According to the results of multivariate analysis, WMH, NLR and on-admission NIHSS score were independently associated with unfavourable outcome of AIS after adjusting for diabetes mellitus, atrial fibrillation, TOAST subtype and LDL-cholesterol. ROC curves showed that the AUCs of WMH, NLR and their combination for predicting short-term prognosis of AIS patients were 0.760 [standard error (SE): 0.029, 95% confidence interval (CI): 0.703-0.817, P<0.001], 0.717 (SE: 0.030, 95% CI: 0.661-0.774, P<0.001) and 0.906 (SE: 0.019, 95% CI: 0.868-0.944, P<0.001), respectively. The AUC of combination prediction was significantly higher than those of individual predictions (0.906 vs 0.760, Z=4.211, P<0.001; 0.906 vs 0.717, Z=5.322, P<0.001).

Conclusion

WMH and NLR were independently associated with short-term prognosis of AIS patients, and the combination of WMH and NLR could be applied in predicting short-term prognosis of AIS patients, having a high predictive value.

Association of the Systemic Inflammation Response Index with Functional Outcome in Acute Large Vessel Occlusion Stroke Patients Receiving Mechanical Thrombectomy

Purpose

The systemic inflammation response index (SIRI) has recently emerged as a novel inflammatory and prognostic marker across various diseases. However, there is limited research examining the relationship between SIRI and 90-day functional outcome in patients with acute large vessel occlusion stroke (ALVOS) undergoing mechanical thrombectomy (MT). This study aimed to investigate the potential of SIRI as an innovative, inflammation-based predictor of 90-day functional outcome.

Methods

This retrospective cohort study consecutively recruited 604 Chinese patients with diagnosed ALVOS who underwent MT at the First College of Clinical Medical Science of China Three Gorges University between July 2017 and April 2023. Comprehensive data, including baseline demographic and clinical characteristics, were systematically extracted from electronic medical records. Poor functional outcome at 90 days was defined as modified Rankin Scale (mRS) score ≥3. We employed logistic regression models, curve fitting, sensitivity analyses, subgroup analyses, and receiver operating characteristic (ROC) curves to validate the association between SIRI and poor outcome, as well as to assess the predictive efficacy.

Results

Final analysis included 604 ALVOS subjects of whom 54.3% experienced poor functional outcome at 90 days. In the multivariate analysis, after adjusting for potential confounders, SIRI remained significantly associated with an elevated risk of poor outcomes (OR 1.18, 95% CI 1.08-1.28, P < 0.001). Nonlinear curve fitting revealed a reverse J-shaped association between SIRI and poor outcomes, with inflection points at 4.5. Subgroup analyses showed no significant interactions (all P for interaction > 0.05), However, atrial fibrillation demonstrated a significant interaction (all P for interaction = 0.001).

Conclusion

SIRI shows promise as a novel prognostic marker for 90-day functional outcome in patients with ALVOS undergoing MT. The identified nonlinear relationship and inflection point may provide valuable insights for risk stratification and clinical decision-making in this specific patient population.

Association of NLR with all-cause and cardiovascular mortality in adults with coronary heart disease: 1999-2018 NHANES data analysis

The neutrophil-to-lymphocyte ratio (NLR) is an important inflammatory marker. However, the relationship between NLR and the prognosis of patients with coronary heart disease (CHD) remains unclear. The purpose of this study is to explore the relationship between NLR and all-cause mortality and cardiovascular mortality in CHD patients. This study analyzed data from 1625 CHD patients who participated in the National Health and Nutrition Examination Survey from 1999 to 2018. Multivariate Cox regression analysis was used to explore the relationship between mortality risk and NLR. The optimal NLR cutoff value related to survival outcomes was determined using the maximum selected rank method. Restricted cubic spline analysis was performed to investigate the correlation between NLR and mortality risk in CHD patients. Moreover, subgroup analyses were conducted to assess the relationship between NLR and all-cause and cardiovascular mortality in different populations. Additionally, time-dependent receiver operating characteristic curves were used to evaluate the accuracy of NLR in predicting survival outcomes. During a median follow-up of 88 months, a total of 475 patients experienced all-cause mortality, and 278 patients experienced cardiovascular mortality. After adjusting for confounding factors, compared with CHD patients with higher NLR, those with lower NLR had a 43% reduced risk of all-cause mortality (hazard ratio: 0.57, 95% CI: 0.41-0.8) and a 51% reduced risk of cardiovascular mortality (hazard ratio: 0.49, 95% CI: 0.3-0.78). Kaplan-Meier analysis showed that the survival rate in the high NLR group was significantly lower in terms of all-cause and cardiovascular mortality rates than in the low NLR group (P < .0001). The results of the restricted cubic spline analysis indicated a nonlinear relationship between NLR and all-cause mortality as well as cardiovascular mortality in CHD patients. In addition, receiver operating characteristic analysis showed that the area under the curve for all-cause mortality at 3 years, 5 years, and 10 years were 0.596, 0.591, and 0.604, while the area under the curve for cardiovascular mortality were 0.623, 0.617, and 0.623, in CHD patients. Elevated NLR is associated with increased risk of cardiovascular and all-cause mortality in CHD patients, and NLR can independently predict the prognosis of CHD patients.

Utility of systemic immune-inflammation index, neutrophil-to-lymphocyte ratio, and platelet-to-lymphocyte ratio as a predictive biomarker in pediatric traumatic brain injury

Background

Traumatic brain injury (TBI) remains the predominant cause of mortality and disability among the pediatric population. At present, there are no radiation-free, simple, and cost-effective tools available to assess the severity and prognosis of pediatric TBI. The systemic immune-inflammation index (SII), neutrophilto-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) serve as inflammatory biomarkers that may assist in predicting the outcome of pediatric TBI. This research aims to assess the utility of SII, NLR, and PLR as a predictive biomarker in children with TBI.

Methods

A retrospective analysis was conducted on SII, NLR, and PLR by reviewing the medical records of all pediatric (age ≤18 years) TBI cases who came to the emergency department in the period from January 2023 to August 2024. Patients were categorized according to 28-day mortality and the severity of TBI. The correlation between the biomarkers and outcomes was analyzed.

Results

A total of 206 patients were included in this study. The mean age was 13.81 (1-18). The 28-day mortality rate was 5.3% (n = 11). There were no significant differences in SII, NLR, and PLR between the survivor and mortality groups (P = 0.317, P = 0.288, and P = 0.200, respectively). Based on the TBI severity, there was a significant difference in the SII, NLR, and PLR across mild, moderate, and severe TBI (P = 0.006, P = 0.002, P = 0.001, respectively).

Conclusion

The findings of our study did not reveal a significant predictive relationship between SII, NLR, and PLR to 28-day mortality. Nonetheless, there were significant differences in SII, NLR, and PLR among mild, moderate, and severe TBI groups. Further research under more controlled conditions is essential to facilitate the use of SII, NLR, and PLR as predictive biomarkers in pediatric TBI.

Association between systemic inflammatory markers and all-cause mortality in patients with stroke: A prospective study using data from the UK Biobank

BACKGROUND AND AIMS

The systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) are novel inflammatory biomarkers used to determine various disease prognoses. However, the effects of these systemic inflammatory markers on all-cause mortality in patients with stroke remain unclear.

METHODS

We used data from the UK Biobank for this prospective analysis. Overall, 6,020 eligible individuals were included. Over a median follow-up of 13.4 years, 1,233 participants died. We examined the effects of systemic inflammatory markers on all-cause mortality using random survival forest (RSF) and Cox proportional hazards models. Covariate adjustments in the Cox model, selected by RSF, included age, sex, body mass index (BMI), Townsend deprivation index, smoking status, alcohol intake frequency, sleep duration, diabetes, and malignant neoplasms.

RESULTS

In the marginal effect plots and restricted cubic spline analysis for systemic inflammatory markers, LMR exhibited a linear negative correlation, NLR showed a linear positive correlation, and SII and PLR demonstrated a U-shaped association. After covariates were adjusted, the all-cause mortality risk increased by 14 % for LMR <4 (hazards ratio [HR]: 1.14, 95 % confidence interval [CI]: 1.01-1.29; p= 0.03), by 26 % for NLR ≥2 (HR: 1.26; 95 % CI: 1.11-1.43; p < 0.001),by 26 % for PLR ≥175 (HR: 1.26; 95 % CI: 1.07-1.47; p < 0.001), and by 31 % for SII ≥526 (HR: 1.31; 95 % CI, 1.16-1.47; p= 0.014). In addition, sensitivity analyses, excluding participants who had been followed-up for <2 years and those with malignant neoplasms, yielded results consistent with those of previous research.

CONCLUSION

SII, NLR, PLR, and LMR significantly correlate with all-cause mortality in stroke patients. Thresholds established by the RSF model could potentially refine prognostic decision-making in stroke care.

Serum fibrinogen/albumin ratio and early neurological deterioration in patients with recent small subcortical infarction

BACKGROUND

Serum fibrinogen/albumin ratio (FAR) is a new inflammatory marker related to a variety of diseases, and it has been shown to be associated with stroke. This study is to investigate the relationship between serum FAR and early neurological deterioration (END) in patients with recent small subcortical infarction (RSSI).

PATIENTS AND METHODS

Consecutive RSSI patients admitted to the First Affiliated Hospital of Zhengzhou University from June 2015 to June 2022 were enrolled. The National Institute of Health Stroke Scale (NIHSS) was utilized to evaluate the severity of the patients at admission and within seven days post-admission. END was defined as an increase of ≥2 points in NIHSS score from admission or ≥1 point in the motor item of the score within seven days post-admission. Multivariate logistic regression analysis was employed to identify risk factors for END. The correlation between FAR and END was investigated using restricted cubic spline (RCS) analysis. Subgroup analysis was used to assess stability across different populations.

RESULTS

A total of 766 RSSI patients were included in the analysis, with 538 males (70.24%). END occurred in 115 (15.01%) patients. Multivariate logistic regression analysis revealed that FAR (OR = 1.016, 95%CI: 1.005-1.028), PAD (OR = 1.805, 95%CI: 1.161-2.807) and age (OR = 1.028, 95%CI: 1.009-1.048) were associated with END in RSSI patients. RCS analysis indicated a linear correlation between FAR and END (p for nonlinear = .128). Subgroup analysis indicated association between FAR and END in male (OR = 1.02, 95%CI: 1.00-1.03), patients aged ≤65 years (OR = 1.02, 95%CI: 1.00-1.03) and patients without smoking history (OR = 1.02, 95%CI: 1.00-1.03).

CONCLUSIONS

Elevated FAR levels were associated with the occurrence of END within seven days after admission in RSSI patients, especially in men, age ≤65 years, or patients without smoking history.

Expression and Clinical Significance of Lymphocyte Subpopulations and Peripheral Inflammatory Markers in Glioma

Purpose

Patients with glioma often fail to achieve satisfactory outcomes despite receiving surgery, radiotherapy, and chemotherapy. Photodynamic therapy (PDT) shows promise in addressing the limitations of traditional treatments. However, the immunological effects of PDT in glioma patients remain underexplored. This study aims to fill this gap by analyzing lymphocyte subpopulations and inflammatory markers in glioma patients undergoing PDT-assisted surgery.

Patients and Methods

To enhance our comprehension of the immunobiology of glioma within a clinical framework, we conducted a retrospective analysis of glioma patients from September 2019 to December 2023. Peripheral blood lymphocyte subpopulations (CD3+, CD19+, CD4+, CD8+, CD4+/CD8+) and hematological inflammatory factors were compared among 18 patients who underwent surgery with PDT, 10 patients treated with surgery alone, and healthy controls. Additionally, lymphocyte subpopulations from 48 healthy individuals and hematology inflammatory factors from 38 healthy controls were regarded as controls.

Results

PDT-assisted surgery resulted in significant alterations in lymphocyte subpopulations and inflammatory markers before and after treatment, particularly in CD4+ and CD8+ T cells. PDT-treated patients demonstrated a superior therapeutic response compared to surgery alone (P=0.035). Notably, primary glioma patients had more prolonged overall survival than recurrent glioma patients (P=0.039).

Conclusion

PDT-assisted surgery significantly affects lymphocyte subpopulations and inflammatory markers, enhancing immune response in glioma patients. These findings support the use of PDT as an effective adjuvant therapy. Monitoring lymphocyte subpopulations and inflammatory markers may be valuable for glioma prognosis and treatment optimization.

Elevated systemic inflammation response index is associated with poor outcomes in minor ischemic stroke

Objectives

Patients with minor ischemic stroke (MIS) have substantial disability rates at 90 days. Our study aimed to explore the association between the systemic inflammation response index (SIRI) and 3-month functional outcomes in patients with MIS.

Methods

We conducted a prospective observational study in patients with MIS [defined as a National Institutes of Health Stroke Scale (NIHSS) score of 0-3] admitted within 24 h from symptoms onset. Blood samples for the SIRI measurement were collected on admission. The primary outcome measure was poor outcomes at 90 days (defined as a modified Rankin Scale score of 2-6). Univariate and multivariate logistic analyses were performed to assess the association between the SIRI and the risk of 3-month poor outcomes.

Results

A total of 152 patients with MIS were enrolled, of which 24 cases (15.8%) had poor outcomes at 90 days. The median SIRI level was 1.27 [interquartile range (IQR), 0.77-1.92, ×10^9 /L] on admission. MIS patients with poor outcomes had higher levels of the SIRI than patients with good outcomes (poor outcomes: median, 1.93, IQR: 1.17-3.28, ×10^9 /L; good outcomes: median, 1.21, IQR: 0.71-1.80, ×10^9 /L; p = 0.003). The high SIRI level group (SIRI >1.27 × 10^9 /L) had significantly higher rates of poor outcomes at 90 days (22.4% vs. 9.2%, p = 0.026). After adjusting for age, baseline NIHSS score, prehospital delay, Trial of Org 10,172 in Acute Stroke Treatment (TOAST) classification, and other confounders in multivariate analyses, an elevated SIRI level remained independently associated with an increased risk of poor outcomes in patients with MIS [odds ratio (OR): 1.57, 95% confidence interval (CI): 1.12-2.20; p = 0.010]. Meanwhile, a high level of the SIRI (>1.27 × 10^9/L) was still an independent risk factor for 3-month poor outcomes (OR: 4.80, 95%CI: 1.51-15.29; p = 0.008) in MIS patients.

Conclusion

Disability at 90 days was common in patients with MIS. An elevated SIRI was associated with poor outcomes in MIS patients. The SIRI might be a promising biomarker candidate that can help identify high-risk MIS patients with poor outcomes for reaching individual therapeutic decisions in clinical trials.

The role of neutrophils in tPA thrombolysis after stroke: a malicious troublemaker

Acute ischemic stroke represents a critical, life-threatening condition affecting the central nervous system. Intravenous thrombolysis with tissue plasminogen activator (tPA) remains a cornerstone for achieving vascular recanalization in such patients; however, its therapeutic utility is limited, with only approximately 10% of patients benefiting due to the narrow therapeutic window and significant risk of hemorrhagic transformation. Enhancing the efficacy of tPA thrombolysis is therefore imperative. Neutrophils have been identified as key modulators of thrombolytic outcomes, interacting with tPA post-stroke to influence treatment effectiveness. The binding of tPA to low-density lipoprotein receptor-related protein 1 (LRP-1) on neutrophil surfaces induces degranulation and formation of neutrophil extracellular traps (NETs). Conversely, neutrophils impede the thrombolytic action of tPA by obstructing its interaction with fibrin and activating platelets. These findings suggest that targeting neutrophils may hold promise for improving thrombolysis outcomes. This review explores the role of neutrophils in tPA-mediated thrombolysis following acute ischemic stroke, examines neutrophil-associated biomarkers, and outlines potential strategies for enhancing tPA efficacy.

"The association between HALP score and infection in acute ischemic stroke patients"

BACKGROUND AND PURPOSE

Stroke-associated infection (SAI) is related to increased mortality in acute ischemic stroke (AIS) cases. The HALP index is used to evaluate nutrition and inflammation. Our research aimed to assess the relation between HALP scores and infection risk in AIS cases.

MATERIALS AND METHODS

132 cases of acute ischemic stroke were registered. 77 cases were male and 55 cases were female. The median age of the attending cases was 66 (35-104) years. Laboratory variables were assessed within 24 h after hospitalization in the neurology care unit. The HALP score is evaluated utilizing the formula "Hemoglobin (g/dL) × Albumin (g/dL) × Lymphocyte (/10^3/uL) / Platelet (/10^3/uL)".

RESULTS

Cases were separated into two groups according to their corresponding HALP score. Group-1 cases have a low HALP score (HALP score ≤ 18227,93). Group-2 cases have a high HALP score (HALP score > 18227,93). 26 (19.6 %) cases were diagnosed with various infections after hospitalization in the neurology care unit. Urinary tract infections were frequent infection causes in AIS cases (13 cases, 50 %). Pneumonia was observed in 8 cases, making up 30 % of the total cases. Another infection was seen in 5 (20 %) of the cases. The frequently encountered bacteria were Escherichia coli ESBL + (n = 7, 27 %) and Staphylococcus aureus (n = 6, 23 %). The mortality ratio was higher in Group-1 cases than in Group-2 cases (34 % vs 7 %).

CONCLUSIONS

This investigation has suggested a relationship between infection and HALP score in AIS patients.

Application value of neutrophil to lymphocyte ratio and platelet to lymphocyte ratio in predicting stress ulcer after acute cerebral hemorrhage surgery

OBJECTIVE

The Platelet-to-Lymphocyte Ratio (PLR) and Neutrophil-to-Lymphocyte Ratio (NLR) are established biomarkers that are associated with the severity, progression, and fatality of diseases. This study aimed to determine their predictive value for the occurrence of stress ulcers (SU) following surgery for acute cerebral hemorrhage.

METHODS

Retrospective data from 210 patients with acute cerebral hemorrhage hospitalized between June 2020 and March 2023 were analyzed. Patients were categorized into two groups based on the occurrence of SU post-surgery: the SU group (42 patients) and the non-SU group (168 patients). Clinical characteristics of both groups were compared, and a multivariate logistic regression was conducted to identify independent risk factors for SU. The study evaluated the predictive value of NLR and PLR, individually and in combination, for predicting SU using Receiver Operating Characteristic (ROC) curves.

RESULTS

We observed significant differences between the SU and non-SU groups in several parameters, including GCS score, absolute neutrophils, NLR, PLR, postoperative tracheotomy, and intracranial infection (P < 0.05). Our multivariate logistic regression analysis identified four independent risk factors for SU in patients undergoing surgery for acute cerebral hemorrhage: GCS score, NLR, PLR, and fasting blood glucose (P < 0.05). Furthermore, ROC analysis demonstrated that the combination of NLR and PLR exhibited the highest AUC, sensitivity, and specificity in predicting SU following surgery for acute cerebral hemorrhage (P < 0.001), with values of 0.864 (95 % CI: 0.776-0.953), 0.778 (95 % CI: 0.658-0.899), and 0.941 (95 % CI: 0.889-0.993) respectively.

CONCLUSION

This study highlighted the combined application of PLR and NLR as a significant predictor of SU in patients post-acute cerebral hemorrhage surgery.

The Prognostic Value of a Naples Score in Determining in-Hospital Mortality in Patients with Acute Ischemic Stroke Undergoing Endovascular Treatment

Background/Objectives: The Naples prognostic score (NPS), reflecting inflammation and nutritional status, has prognostic value, especially in cancer. This study evaluated its ability to predict in-hospital mortality in acute ischemic stroke (AIS) patients undergoing endovascular treatment (EVT). Methods: We retrospectively studied 244 patients with AIS who were admitted between April 2020 and December 2023. Patients were included if they presented within 6 h of symptom onset with evidence of intracranial proximal arterial occlusion. The EVT was performed using aspiration catheters, stent retrievers, or both. The NPS was calculated based on the neutrophil-lymphocyte ratio, lymphocyte-monocyte ratio, and albumin and total cholesterol levels. Results: We found a significant association between higher NPS scores and in-hospital mortality. Patients with a high NPS (3 or 4) had a mortality rate of 41.6% compared to 21.0% in the low-NPS group (0, 1, or 2). The full model incorporating NPS showed superior predictive ability for in-hospital mortality compared with the baseline model (areas under the curve 0.881 vs. 0.808). A receiver-operating characteristic analysis at a cutoff of >2.5 for the NPS showed a sensitivity of 86.6% and specificity of 41.9%. This study demonstrated that incorporating the NPS into the predictive model improved the accuracy and calibration for predicting in-hospital mortality. A decision curve analysis showed the net benefit of using the full model incorporating NPS over the baseline model, emphasizing its potential clinical application in prognostication. Conclusions: NPS is a reliable predictor of in-hospital mortality in AIS patients undergoing EVT. Incorporating NPS into clinical practice could help to identify high-risk patients and improve outcomes through tailored interventions.

The Prognosis of Neutrophil-to-Lymphocyte Ratio and Lymphocyte-to-Monocyte Ratio in Elderly with Acute Ischemic Stroke

Background

Neutrophil-to-lymphocyte ratio (NLR) and Lymphocyte-to-monocyte ratio (LMR) have been reported to be associated with outcomes in acute ischemic stroke. However, research on elderly populations remains relatively scarce. We investigated the prognosis of NLR and LMR in elderly with acute ischemic stroke(AIS).

Methods

Based on the modified Rankin Score (mRS) on the 90th day after stroke, patients were divided into group and bad prognosis groups. Multivariate logistic regression analysis and receiver operating curves were used to identify prognostic factors and their predictive powers.

Results

In total, 824 elderly patients with AIS were enrolled between November 2021 and December 2023. Significant differences emerged in the NLR, LMR, and lymphocyte count between the two groups (P<0.05). Binary logistic regression identified NLR, LMR and neutrophil count as independent risk factors for an unfavorable prognosis in elderly patients with AIS. The areas under the curve (AUCs) of NLR, LMR, and the combination of NLR and LMR to discriminate poor function prognosis were 0.703, 0.672, and 0.706, respectively. ROC analysis also showed that combination of NLR and LMR was superior to NLR and LMR alone for predicting AIS.

Conclusion

NLR and LMR independently contribute to an unfavorable prognosis in elderly patients with AIS. The area under the ROC curve (AUC) for the combined NLR and LMR was higher than that for NLR and LMR individually, suggesting that combining these two indicators can improve the predictive ability for clinical outcomes in elderly patients with AIS.

Association between neutrophil-to-lymphocyte ratio and short-term all-cause mortality in patients with cerebrovascular disease admitted to the intensive care unit-a study based on the MIMIC-IV database

Background

Inflammation plays a crucial role in cerebrovascular disease (CVD) progression. Neutrophil-to-lymphocyte ratio (NLR) is an important inflammatory marker, though its diagnostic role in CVD is still under investigation. This study evaluates the relationship between NLR and short-term all-cause mortality in patients with CVD admitted to the intensive care unit (ICU).

Methods

We conducted a retrospective study using data from the Medical Information Mart for Intensive Care (MIMIC-IV) (v2.2) database, including 4,327 adult ICU-admitted CVD patients. NLR values at admission were analyzed alongside various mortality variables. Multivariate Cox proportional hazards regression models and Kaplan-Meier (K-M) survival curves assessed the relationship between NLR and short-term all-cause mortality. Predictive power, sensitivity, specificity, and area under the curve (AUC) of NLR for short-term mortality were investigated using Receiver Operating Characteristic (ROC) analysis. Additionally, restricted cubic spline (RCS) curves and subgroup analyses were conducted.

Results

Among the 4,327 patients, 3,600 survived (survival group) and 727 died (non-survival group) within 28 days of admission (mortality rate: 16.8%). A multivariate Cox regression analysis identified NLR as an independent predictor of 28-day all-cause mortality (hazard ratio: 1.013; 95% confidence interval: 1.0086-1.0188; p < 0.001). The predictive model, incorporating NLR, age, gender, BMI, Charlson comorbidity index (CCI), WBC counts, Platelet, INR, and CRP, achieved an AUC of 0.686 (95% confidence interval: 0.665-0.70). While platelet-to-lymphocyte ratio was also analyzed, its predictive efficiency was less pronounced compared to NLR. A best NLR threshold of 6.19 was determined, distinguishing survivors from non-survivors. Kaplan-Meier survival curves showed that patients with NLR ≥ 6.19 had significantly lower survival rates at 7-, 14-, 21-, and 28-days. Subgroup analyses indicated that NLR did not significantly interact with most subgroups.

Conclusion

NLR may serve as an independent predictor for short-term all-cause mortality in ICU-admitted CVD patients, enhancing our understanding of the association between inflammatory biomarkers and CVD prognosis.

The value of the systemic immune-inflammation index in assessing disease severity in autoimmune encephalitis

BACKGROUND

Autoimmune encephalitis (AE) is a group of autoimmune diseases targeting the central nervous system, characterized by severe clinical symptoms and substantial consumption of medical resources. Neuroinflammation plays a crucial role in disease progression, and detecting inflammatory responses can provide insights into disease status and disease severity. The systemic immune-inflammation index (SII), a novel marker of inflammatory status, has been rarely studied in AE.

METHODS

Retrospective analysis of data from AE patients admitted to the First Affiliated Hospital of Zhengzhou University between January 2019 and September 2023 was conducted. Univariate analysis and logistic regression were used to assess the association between SII and patient severity. Nomograms for predicting AE severity were established, and receiver operating characteristic (ROC) curves, concordance index (C-index), calibration curves, and decision curve analysis were employed to evaluate predictive accuracy. Additionally, the Clinical Assessment Scale in Autoimmune Encephalitis (CASE) score was used to assess patient severity.

RESULTS

This study enrolled 157 patients, of whom 57 were classified as severe according to the CASE score. SII, cerebrospinal fluid (CSF) cell counts, disturbance of consciousness, and behavioural abnormalities independently associated with the occurrence of severe cases. The C-index of the nomograms was 0.87, indicating strong association with disease severity, as supported by the calibration. Additionally, SII levels were highest within seven days of onset and decreased after one month. In subgroup analyses of different antibodies, SII also associations with severe cases in NMDAR encephalitis.

CONCLUSIONS

Higher SII levels are associated with an increased likelihood of developing severe AE, peaking within 7 days of disease onset and decreasing thereafter, potentially offering a prognostic marker to assess disease progression early in its course.

Psychological General Well-being, Cognitive Failure, and Inflammation Biomarkers Among Workers 4 Months After a Mild/Asymptomatic SARS-CoV-2 Infection

OBJECTIVE

To investigate the relationship between cognitive complaints, systemic inflammatory biomarkers, and psychological general well-being (PGWB) after mild/asymptomatic SARS-CoV-2 infection, according to the presence of long COVID and work tasks.

METHODS

University employees and metal workers were recruited in a cross-sectional study 4 months after SARS-CoV-2 infection to assess cognitive impairment, individual PGWB index, inflammatory biomarkers, namely platelet-lymphocyte, neutrophil-lymphocyte, and lymphocyte-monocyte ratios, and the presence of long COVID symptoms.

RESULTS

A significant increase in the levels of inflammatory biomarkers was observed in subjects with long COVID. Furthermore, the PGWB index was influenced by long COVID symptoms and subjective cognitive and depressive symptoms, but not by work activity.

CONCLUSIONS

In occupational settings, it is crucial to detect the presence of long COVID symptoms and systemic inflammation early, as they may be associated with lower PGWB.

Prognostic Value of Magnetic Resonance Imaging Variables Combined with Neutrophil-to-Lymphocyte Ratio in Patients with Cervical Traumatic Spinal Cord Injury

OBJECTIVE

We aimed to explore the prognostic significance of preoperative magnetic resonance imaging (MRI) variables and novel inflammatory indicators in predicting neurological recovery post-cervical traumatic spinal cord injury (TSCI) in the study.

METHODS

We enrolled a total of 244 patients diagnosed with acute cervical TSCI from 2 hospitals and evaluated the prognostic value of MRI variables (intramedullary hemorrhage, intramedullary lesion length [IMLL], maximum spinal cord compression, and maximum canal compromise [MCC]) and novel inflammatory indicators (neutrophil-to-lymphocyte ratio [NLR], platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, and systemic immune-inflammatory index) in patients with acute cervical TSCI.

RESULTS

Among the 244 patients, 140 (57.38%) exhibited improved AIS grade conversion at 1-year follow-up. The results revealed intramedullary hemorrhage, IMLL, MCC, neutrophils, and NLR were significantly different compared with follow-up AIS grade. Furthermore, IMLL, MCC, white blood cells, neutrophils, NLR, and lymphocyte-to-monocyte ratio correlated with the follow-up AIS grade by Spearman's correlation analysis. Multivariate analysis showed IMLL, intramedullary hemorrhage, NLR, and admission AIS grade emerged as independent predictors of AIS grade conversion. The receiver operating characteristic curve analysis showed that the novel model (combination of MRI variables, NLR, and admission AIS grade) produced a larger area under the curve compared with using only intramedullary hemorrhage, IMLL, NLR, or admission AIS grade individually.

CONCLUSION

Intramedullary hemorrhage and IMLL and NLR are predictors of AIS grade conversion after cervical TSCI. Therefore, we suggest the combination of MRI variables and NLR for the prognostic prediction of AIS grade conversion in patients with cervical TSCI.

Association between immune-inflammation-based prognostic index and depression: An exploratory cross-sectional analysis of NHANES data

BACKGROUND

Immune-inflammatory mediators influence numerous immune and inflammatory pathways, elevating the likelihood of depression. The systemic immune-inflammation index (SII) emerges as an innovative prognostic indicator, integrating various peripheral blood immune cell subpopulations, specifically neutrophils, platelets, and lymphocytes. This exploratory study aims to examine the correlation between SII and depression.

METHODS

Data from the 2005-2020 National Health and Nutrition Examination Survey (NHANES) were utilized. Depression was diagnosed with a Patient Health Questionnaire score of 10 or higher. The relationship between log2-SII and depression incidence was analyzed using a restricted cubic spline (RCS). Logistic regression was employed to calculate the odds ratio of depression concerning log2-SII. In cases of non-linearity, piecewise linear models with change points were applied to assess the associations in both the overall population and specific subgroups. Additionally, subgroup analyses were conducted to determine the applicability of the findings to particular populations.

RESULTS

A total of 42,133 participants were included in the study, comprising 49.32 % men and 50.68 % women, with an average age of 47.02 ± 17.45 years. RCS analysis demonstrated a J-shaped non-linear relationship between log2-SII and depression incidence. When log2-SII was ≥8.50, SII showed a positive association with depression incidence, even after adjusting for covariates. Additionally, each unit increase in log2-SII corresponded to an 18 % rise in depression incidence (OR = 1.18, 95 % CI: 1.10-1.27). Subgroup analysis further revealed that the association between SII and depression incidence varied across different populations.

LIMITATIONS

Due to the cross-sectional nature of NHANES, causality or long-term implications cannot be inferred. Further research is needed to ascertain if a longitudinal relationship exists between SII and depression.

CONCLUSION

Our findings suggest a significant and complex non-linear association between SII and depression. However, further basic and prospective studies are necessary to explore SII's impact on depression and clarify its underlying mechanisms. Additionally, these studies will provide a foundation for personalized interventions targeting the immune-inflammatory processes in patients with depression and elevated SII.

Neutrophil-to-Lymphocyte Ratio, Lymphocyte-to-Monocyte Ratio and Platelet-to-Lymphocyte Ratio as Predictors of Short- and Long-Term Outcomes in Ischemic Stroke Patients with Atrial Fibrillation

Purpose

Inflammatory response plays essential roles in the pathophysiology of both ischemic stroke and atrial fibrillation (AF). We aimed to investigate whether composite inflammatory markers, including neutrophil to lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR) and platelet-to-lymphocyte ratio (PLR), can serve as early predictors of short- and long-term outcomes in ischemic stroke patients with AF.

Patients and Methods

Ischemic stroke patients with AF were enrolled in this cohort study. The primary outcome was 1-year functional dependence or death (modified Rankin scale (mRS) score 3-6). Secondary outcomes included hemorrhagic transformation (HT) and early neurological deterioration (END, increase in the National Institutes of Health Stroke Scale (NIHSS) ≥4 within 7 days). Partial correlations were performed to assess the correlation between systemic inflammation markers and admission NIHSS scores. Univariate and multivariate logistic analyses were performed to investigate whether systemic inflammatory markers were independent predictors of adverse outcomes.

Results

A total of 408 patients were included. Partial correlation analysis revealed statistically significant but weak correlations between the NLR (r = 0.287; P < 0.001), PLR (r = 0.158; P = 0.001) and admission NIHSS score. Compared with patients without HT or END, patients who developed HT or END had higher NLR and PLR, and lower LMR. Patients in the functional dependence or death group had significantly higher NLR and PLR, and lower LMR than those in the functional independence group (all P < 0.001). Multivariate logistic analysis indicated that NLR, LMR and PLR were independent predictors of HT (OR = 1.069, 0.814 and 1.003, respectively), END (OR = 1.100, 0.768 and 1.006, respectively) and adverse 1-year functional outcome (OR = 1.139, 0.760 and 1.005, respectively).

Conclusion

NLR, LMR and PLR were independent predictors for in-hospital HT, END and long-term functional outcome in ischemic stroke patients with AF. Close monitoring of these inflammatory markers may help guide risk stratification and clinical treatment strategies.

Association between lymphocyte-to-monocyte ratio and stroke-associated pneumonia: a retrospective cohort study

Background

Stroke-associated pneumonia (SAP) is a common complication of acute ischemic stroke (AIS) and is associated with increased mortality and prolonged hospital stays. The lymphocyte-to-monocyte ratio (LMR) is a novel inflammatory marker that has been shown to be associated with various diseases. However, the relationship between the LMR and SAP in patients with AIS remains unclear.

Methods

A retrospective cohort study was conducted on 1,063 patients with AIS admitted to our hospital within 72 hours of symptom onset. Patients were divided into two groups: the SAP group (n = 99) and the non-SAP group (n = 964). The LMR was measured within 24 hours of admission, and the primary outcome was the incidence of SAP. We used univariate and multivariate logistic regression analyses to assess the relationship between the LMR and SAP. Additionally, curve-fitting techniques and subgroup analyses were conducted.

Result

The incidence of SAP was 9.31%. We found that the LMR was significantly lower in the SAP group than in the non-SAP group (2.46 ± 1.44 vs. 3.86 ± 1.48, P < 0.001). A nonlinear relationship was observed between the LMR and the incidence of SAP. Subgroup analysis revealed that an elevated LMR was associated with a reduced incidence of SAP in individuals with an LMR below 4. Multivariate logistic regression analysis demonstrated that LMR was an independent predictor of SAP (OR = 0.37, 95% CI [0.27-0.53]).

Conclusion

Our study suggests that the LMR is an independent predictor of SAP in patients with AIS, particularly when the LMR is less than 4. The LMR may serve as a promising biomarker for the early identification of patients with AIS at a high risk of SAP.

Preoperative serum ferritin as a biomarker for predicting delirium among elderly patients receiving non-cardiac surgery: a retrospective cohort study

Iron metabolism disorder has been identified as a contributor to the pathogenesis and progression of multiple cognitive dysfunction-related diseases, including postoperative delirium. However, the association between preoperative iron reserves and postoperative delirium risk remains elusive. This retrospective cohort study aimed to explore the impact of preoperative serum ferritin levels on the risk of postoperative delirium in elderly patients undergoing non-neurosurgical and non-cardiac procedures. Conducted at the Chinese PLA General Hospital between January 2014 and December 2021, the study finally included 12,841 patients aged 65 years and above. Preoperative serum ferritin levels were assessed within 30 days before surgery, and postoperative delirium occurrence within the first seven days after surgery was determined through medical chart review. The analyses revealed that both low and high levels of serum ferritin were associated with an increased risk of postoperative delirium. Patients in the lowest quintile of serum ferritin exhibited an 81% increased risk, while those in the highest quintile faced a 91% increased risk compared to those in the second quintile. Furthermore, mediation analyses indicated that the direct effect of preoperative serum ferritin on postoperative delirium contradicted its indirect effect mediated by hemoglobin levels. These findings suggest that maintaining serum ferritin within moderate range preoperatively could be beneficial for managing postoperative delirium risk among elderly patients.

Construction of a machine learning-based prediction model for unfavorable discharge outcomes in patients with ischemic stroke

Background

Ischemic stroke is a common and serious disease with economic and healthcare burdens. Predicting the unfavorable discharge outcome of patients is essential for formulating appropriate treatment strategies and providing personalized care. Therefore, this study aims to establish and validate a prediction model based on machine learning methods to accurately predict the discharge outcome of ischemic stroke patients, providing valuable information for clinical decision making.

Methods

The derivation data consisted of 964 patients from Guangdong Provincial People's Hospital and was used for training and internal validation. A favourable discharge outcome was defined as a National Institutes of Health Stroke Scale score of ≤1 or a decrease of ≥8 points compared to the admission score. A predictive model was created based on 88 medical characteristics gathered during the patient's initial admission, using nine machine learning algorithms. The model's predictive performance was compared using various evaluation metrics. The final model's feature importance was ranked and explained using the Shapley additive explanation method.

Findings

The random forest model demonstrated the greatest discriminative ability among the nine machine learning models. We created an interpretable random forest model by ranking and reducing the features based on their importance, which included eight features. In internal validations, the final model accurately predicted the discharge outcomes of ischemic stroke with AUC values of 0.903 and has been translated into a convenient tool to facilitate its utility in clinical settings.

Conclusions

Our explainable ML model was not only successfully developed to accurately predict discharge outcomes in patients with ischemic stroke and it mitigated the concern of the "black-box" issue with an undirect interpretation of the ML technique.

Systemic immune inflammation index and risk of stroke: a cross-sectional study of the National Health and Nutrition Examination Survey 2005-2018

Background

The incidence of stroke has increased globally, resulting in medical expenditures and social burdens over the past few decades. We aimed to explore the relationship between systemic immune inflammatory index (SII) and stroke using the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018.

Methods

Based on NHANES data, 902 stroke patients and 27,364 non-stroke patients were included in this study. SII was the independent variable and stroke was the dependent variable. Univariate and multivariate logistic regression analyses were used to explore the association between SII and stroke. Restricted cubic spline (RCS) method was used to test the nonlinear association between SII and stroke.

Results

Weighted logistic regression analysis showed a significant association between SII and stroke (OR: 1.985, 95% CI: 1.245-3.166, p = 0.004). The interaction test showed that the association between SII and stroke was not significant between strata (p > 0.05). A significant positive association between SII and stroke risk (OR >1, p < 0.05) was observed in the crude model, model I and model II. RCS analysis showed no nonlinear positive association between SII and stroke risk after adjusting for all confounders.

Conclusion

Our study determined that SII is associated with stroke risk. Given the inherent limitations of cross-sectional studies, further research is necessary to validate the causality of this association and to demystify the underlying mechanisms between inflammation and stroke.

Machine learning-based prediction of early neurological deterioration after intravenous thrombolysis for stroke: insights from a large multicenter study

Background

This investigation seeks to ascertain the efficacy of various machine learning models in forecasting early neurological deterioration (END) following thrombolysis in patients with acute ischemic stroke (AIS).

Methods

Employing data from the Shenyang Stroke Emergency Map database, this multicenter study compiled information on 7,570 AIS patients from 29 comprehensive hospitals who received thrombolytic therapy between January 2019 and December 2021. An independent testing cohort was constituted from 2,046 patients at the First People's Hospital of Shenyang. The dataset incorporated 15 pertinent clinical and therapeutic variables. The principal outcome assessed was the occurrence of END post-thrombolysis. Model development was executed using an 80/20 split for training and internal validation, employing classifiers like logistic regression with lasso regularization (lasso regression), support vector machine (SVM), random forest (RF), gradient-boosted decision tree (GBDT), and multi-layer perceptron (MLP). The model with the highest area under the curve (AUC) was utilized to delineate feature significance.

Results

Baseline characteristics showed variability in END incidence between the training (n = 7,570; END incidence 22%) and external validation cohorts (n = 2,046; END incidence 10%; p < 0.001). Notably, all machine learning models demonstrated superior AUC values compared to the reference model, indicating their enhanced predictive capacity. The lasso regression model achieved the highest AUC at 0.829 (95% CI: 0.799-0.86; p < 0.001), closely followed by the MLP model with an AUC of 0.828 (95% CI: 0.799-0.858; p < 0.001). The SVM, RF, and GBDT models also showed commendable AUCs of 0.753, 0.797, and 0.774, respectively. Decision curve analysis revealed that the SVM and MLP models demonstrated a high net benefit. Feature importance analysis emphasized "Onset To Needle Time" and "Admission NIHSS Score" as significant predictors.

Conclusion

Our research establishes the MLP and lasso regression as robust tools for predicting early neurological deterioration in acute ischemic stroke patients following thrombolysis. Their superior predictive accuracy, compared to traditional models, highlights the significant potential of machine learning approaches in refining prognosis and enhancing clinical decisions in stroke care management. This advancement paves the way for more tailored therapeutic strategies, ultimately aiming to improve patient outcomes in clinical practice.

Effects of platelet-to-lymphocyte ratio on renal function following acute myocardial infarction: A retrospective observational study

Increased platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR) in acute myocardial infarction (AMI), which indicate accelerated thrombus formation and inflammatory response, potentially have prognostic implications. Given that cardiovascular disease and renal function exacerbate each other, an elevated PLR and NLR at admission for AMI may worsen renal function after AMI. However, only a few clinical studies have addressed this issue. Therefore, this study aimed to examine the effects of PLR and NLR at AMI onset on renal function. This retrospective study analyzed data from 234 patients hospitalized for AMI. First, correlations between various parameters (age; sex; body mass index; hemoglobin level, albumin level, B-type natriuretic peptide level, C-reactive protein level, creatinine (Cr) level, blood urea nitrogen (BUN) level, PLR, and NLR at admission; contrast medium usage; and maximum creatine kinase) and Cr and BUN levels at discharge were examined using single and multiple regression analyses. Then, correlations between these parameters and the change in Cr (ΔCr) and BUN levels (ΔBUN) were investigated using single and multiple regression analysis, followed by structural equation modeling (SEM). Multiple regression analysis revealed significant positive correlations between PLR at admission and Cr level at discharge (β = 0.135, P = .021), PLR at admission and BUN level at discharge (β = 0.218, P = .006), PLR at admission and ΔCr (β = 0.244, P = .019), and PLR at admission and ΔBUN (β = 0.312, P = .003). SEM results revealed significant positive correlations between PLR at admission and ΔCr (β = 0.260, P = .008) and PLR at admission and ΔBUN (β = 0.292, P = .003). Conversely, NLR demonstrated a minimal association with renal function at discharge compared to PLR. This study suggests that increased PLR at admission in AMI significantly affects and exacerbates renal function but does not increase NLR at admission. PLR is one of the predictors of renal dysfunction after AMI.

Machine learning-based predictive model for the development of thrombolysis resistance in patients with acute ischemic stroke

BACKGROUND

The objective of this study was to establish a predictive model utilizing machine learning techniques to anticipate the likelihood of thrombolysis resistance (TR) in acute ischaemic stroke (AIS) patients undergoing recombinant tissue plasminogen activator (rt-PA) intravenous thrombolysis, given that nearly half of such patients exhibit poor clinical outcomes.

METHODS

Retrospective clinical data were collected from AIS patients who underwent intravenous thrombolysis with rt-PA at the First Affiliated Hospital of Bengbu Medical University. Thrombolysis resistance was defined as ([National Institutes of Health Stroke Scale (NIHSS) at admission - 24-hour NIHSS] × 100％/ NIHSS at admission) ≤ 30%. In this study, we developed five machine learning models: logistic regression (LR), extreme gradient boosting (XGBoost), support vector machine (SVM), the least absolute shrinkage and selection operator (LASSO), and random forest (RF). We assessed the model's performance by using receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA), and presented the results through a nomogram.

RESULTS

This study included a total of 218 patients with AIS who were treated with intravenous thrombolysis, 88 patients experienced TR. Among the five machine learning models, the LASSO model performed the best. The area under the curve (AUC) on the testing group was 0.765 (sensitivity: 0.767, specificity: 0.694, accuracy: 0.727). The apparent curve in the calibration curve was similar to the ideal curve, and DCA showed a positive net benefit. Key features associated with TR included NIHSS at admission, blood glucose, white blood cell count, neutrophil count, and blood urea nitrogen.

CONCLUSION

Machine learning methods with multiple clinical variables can help in early screening of patients at high risk of thrombolysis resistance, particularly in contexts where healthcare resources are limited.

Association of higher triglyceride-glucose index and triglyceride-to-high-density lipoprotein cholesterol ratio with early neurological deterioration after thrombolysis in acute ischemic stroke patients

Background

Insulin resistance (IR) can predict the prognosis of patients suffering from cerebrovascular disorders. The triglyceride-glucose (TyG) index and triglyceride-to-high-density lipoprotein cholesterol (TG/HDL-C) ratio have been confirmed to be easy and reliable indicators of IR. However, the relationships between the TyG index or TG/HDL-C ratio and early neurological deterioration (END) after thrombolysis in patients with acute ischemic stroke (AIS) are uncertain.

Methods

A retrospective analysis of 1,187 patients diagnosed with AIS who underwent intravenous thrombolysis between January 2018 and February 2024 was performed. Post-thrombolysis END was defined as an increase in the National Institutes of Health Stroke Scale (NIHSS) score of ≥4 within 24 h after thrombolysis. Logistic regression analysis was performed to explore the relationships of the TyG index and TG/HDL-C ratio with post-thrombolysis END. Receiver operating characteristic (ROC) analysis was used to assess the ability of the TyG index and TG/HDL-C ratio to discriminate post-thrombolysis END.

Results

Among the 1,187 recruited patients, 179 (15.08%) were diagnosed with post-thrombolysis END, and 1,008 (84.92%) were diagnosed with non-END. A binary logistic regression model indicated that the TyG index (odds ratio [OR], 2.015; 95% confidence interval [CI] 1.964-2.414, p = 0.015) and TG/HDL-C ratio (OR, 1.542; 95% CI, 1.160-2.049, p = 0.004) were independent factors for post-thrombolysis END. The area under the curve (AUC) values for the TyG index, TG/HDL-C ratio, and TyG index combined with the TG/HDL-C ratio for post-thrombolysis END were 0.704, 0.674, and 0.755, respectively.

Conclusion

This study indicates that the TyG index and TG/HDL-C ratio can be used as prognostic factors to predict post-thrombolysis END.

Neutrophil-to-Lymphocyte Ratio, Platelet-to-Lymphocyte Ratio, Systemic Immune Inflammation Index and Efficacy of Remote Ischemic Conditioning in Acute Ischemic Stroke: A Post Hoc Exploratory Analysis of the RICAMIS Study

Background

We conducted a post-hoc analysis of the RICAMIS trial to investigate the effect of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune inflammation index (SII) on the efficacy of remote ischemic conditioning treatment.

Methods

In this post-hoc analysis, NLR, PLR, and SII were measured before randomization. Patients were divided into two groups based on their cut-off values: high vs low NLR, high vs low PLR, and high vs low SII groups. Each group was further subdivided into RIC and control groups. The primary endpoint was a poor outcome (mRS 2-6 at 90 days). Differences in the primary endpoint between the RIC and control subgroups were compared, and the interactions of treatment assignment with NLR, PLR, and SII were evaluated.

Results

A total of 1679 patients were included in the final analysis. Compared with the control group, RIC significantly improved functional outcomes regardless of the inflammation status. The improved probability of poor outcome in the RIC vs control group was numerically greater in the high vs low inflammation group (NLR, 7.8% vs 5.1%; PLR, 7% vs 6.5%; SII, 9% vs 5.3%). However, we did not find an interaction effect of an intervention (RIC or control) with different NLR, PLR, or SII on clinical outcomes (P > 0.05). In addition, the NLR and SII were independently associated with functional outcomes in all patients, regardless of whether they received RIC.

Conclusion

Inflammation may not affect the efficacy of RIC in patients with acute moderate ischemic stroke, although a lower probability of poor outcome at 90 days was identified in patients with a high vs low inflammatory status.

Platelet-to-lymphocyte percentage ratio for assessing disease activity and predicting therapeutic outcomes in ulcerative colitis

AIMS

Disease activity assessment and treatment outcome prediction are crucial in the patient management of ulcerative colitis (UC); yet the significance of platelet-to-lymphocyte percentage ratio (PLpR) remains unknown, which was investigated in this study.

METHODS

We used data from three clinical trials: ACT 1, PURSUIT, and UNIFI. In total, 7,614 endoscopic procedures and 1,365 patients were included for assessing severity and predicting outcome, respectively. The primary outcome was endoscopic remission, defined as a Mayo endoscopic score of 0. The diagnostic capacity of PLpR was evaluated by the area under the receiver operating characteristic curve (AUC) while multivariable logistic regression was employed to assess the prognostic power of PLpR.

RESULTS

PLpR showed higher AUCs than C-reactive protein in identifying endoscopic remission (P < 0.001) and improvement (P < 0.001). Besides, combining PLpR with fecal calprotectin enhanced the power to distinguish disease activity. In therapeutic outcome analyses, higher PLpR level indicated worse long-term outcomes. PLpR ≥ 1016.7 predicted a lower likelihood of endoscopic remission (OR: 0.50 [95 % CI: 0.39-0.65]; P < 0.001), endoscopic improvement (OR: 0.45 [95 % CI: 0.36-0.57]; P < 0.001), clinical remission (OR: 0.50 [95 % CI: 0.39-0.62]; P < 0.001), histologic improvement (OR: 0.50 [95 % CI: 0.31-0.79]; P = 0.004), and histologic-endoscopic mucosal improvement (OR: 0.42 [95 % CI: 0.27-0.66]; P < 0.001). Moreover, PLpR added the prognostic value to C-reactive protein, fecal calprotectin, clinical and endoscopic scores to predict long-term outcomes.

CONCLUSION

PLpR could be a promising biomarker for monitoring disease activity and predicting long-term therapeutic outcomes in UC.