Neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio: novel markers for the diagnosis and prognosis in patients with restenosis following CAS

A single-center retrospective study of the COCO technique in the treatment of chronic internal carotid artery occlusion

OBJECTIVE

To introduce a novel endovascular recanalization method and to investigate its success rate, periprocedural complications, and early outcomes in patients with chronic internal carotid artery occlusion (CICAO). As this novel technique was designed to treat CICAO with a full coaxial system, we named it the COCO technique.

METHODS

Data from consecutive patients with symptomatic CICAO who underwent endovascular recanalization in our institution were retrospectively reviewed. The COCO technique allows extracranial angioplasty and stenting with occasional intracranial angioplasty and stenting as needed to be performed in a coaxial fashion. Patients' demographic and clinical information, morphologic characteristics, procedural results, complications, and follow-up outcomes were recorded.

RESULTS

Forty-nine patients were enrolled in this study. The technical success rate was 89.8% (44/49). Four patients experienced intraoperative complications, two patients had a slight subarachnoid hemorrhage, and two patients had asymptomatic dissection. Distal embolization or carotid-cavernous arteriovenous fistula was not detected. In addition, three patients developed hemorrhagic complications and three developed postoperative ischemic complications. All these patients improved after conservative treatment and subsequent rehabilitation. During the median 6 (3-6) months of follow-up, one patient died of severe pneumonia and two patients experienced recurrent ischemic events. In patients with successful recanalization, modified Rankin Scale scores were lower at the 3-month follow-up than at baseline (1 (0-2) vs 2 (1-2), P=0.04). Restenosis was observed in six (15.8%) patients.

CONCLUSIONS

Our study showed that the COCO technique is effective and safe for endovascular recanalization in patients with CICAO and has low periprocedural complications and favorable functional outcomes.

Clinical Value of the Diagonal Earlobe Crease in Patients with Chest Pain for Diagnosing Coronary Heart Disease

Purpose

To investigate the clinical application value of diagonal earlobe crease (DELC) in patients with chest pain for the diagnosis of coronary heart disease (CHD) and to construct a risk model by multivariate logistic regression.

Patients and Methods

Our trial enrolled prospectively and consecutively 706 chest pain patients with suspected CHD between January 2021 to June 2023 from Chengde Central Hospital. According to coronary angiography results, they were categorized into the CHD (n=457) and non-CHD groups (n=249).

Results

The trial demonstrated a significant positive relationship between DELC and CHD. Independent risk factors were sex, age, hypertension, diabetes mellitus, LP (a), Cys C, and DELC, whilst HDL-C was a protective factor, for CHD. Patients with-DELC were older than those in the without-DELC arm (P<0.001) and had a higher proportion of males than females (61.6% vs 50.0%, P=0.026). After multifactorial correction, independent risk factors for CHD included DELC (OR=1.660, 95% CI:1.153 to 2.388, P=0.006), age (OR=1.024, 95% CI:1.002 to 1.045, P=0.030), gender (OR=1.702, 95% CI:1.141 to 2.539, P=0.009), hypertension (OR=1.744, 95% CI:1.226 to 2.482, P=0.002), diabetes mellitus (OR=2.113, 95% CI:1.404 to 3.179, P<0.001), LP(a) (OR=1.010, 95% CI:1.003 to 1.017, P=0.005), Cys C (OR=3.549, 95% CI:1.605 to 7.846, P=0.002). The Hosmer and Lemeshow (H-L) test (P=0.818) suggests a high goodness of fit, and the area under the ROC curve was calculated to be 0.721 (95% CI:0.682 to 0.760, P<0.001), which demonstrates that the model has a superior diagnostic value for CHD.

Conclusion

DELC is an independent risk factor for CHD after adjusting for sex, age, hypertension, diabetes mellitus, smoking index, LP (a), Cys C, and HDL-C. Our model can be used clinically for assessing the risk of CHD.

The Atherogenic Index of Plasma Predicts Carotid in-Stent Restenosis: Development and Validation of a Nomogram

Purpose

To explore the predictive value of atherogenic index of plasma(AIP) for carotid in-stent restenosis(ISR).

Methods

Patients who underwent carotid artery stenting (CAS) in hospital from January 2016 to January 2021 were retrospectively enrolled. They were randomly divided into training and validation sets. Based on the results of carotid digital subtraction angiography (DSA) during the follow-up period, the patients were divided into ISR group and non-ISR group. The differences of AIP and lipid levels between the two groups were compared. The independent risk factors of ISR and the predictive value of AIP for ISR were analyzed. A nomogram was developed based on the independent risk factors, and the receiver operating characteristic (ROC) curve, the calibration curve and the decision curve analysis were conducted to assess the predictive ability and clinical practicability of the nomogram in both the training set and validation sets.

Results

A total of 361 patients were enrolled, including 98 in the ISR group and 263 in the non-ISR group. In the training set, AIP was significantly higher in the ISR group than in the non-ISR group (P < 0.05) and was independently associated with ISR (OR= 10.912, 95% CI: 2.520-47.248). When AIP was 0.10, it had the highest predictive value for ISR, with a sensitivity of 72. 1% and a specificity of 75.0%. Additionally, hypertension, residual stenosis, symptomatic stenosis and Hcy were also independent risk factors for ISR. The nomogram showed good discrimination performance and clinical practicability in both the training set (AUC = 0.827) and the validation set (AUC = 0.880).

Conclusion

AIP was an independent risk factor for ISR and was closely related to ISR. The nomogram developed by AIP and other variables had good predictive ability and clinical practicability for ISR.

Carotid Plaque Features and Inflammatory Biomarkers as Predictors of Restenosis and Mortality Following Carotid Endarterectomy

BACKGROUND

Carotid endarterectomy (CEA) is the first-line surgical intervention for cases of severe carotid stenoses. Unfortunately, the restenosis rate is high after CEA. This study aims to demonstrate the predictive role of carotid plaque features and inflammatory biomarkers (monocyte-to-lymphocyte ratio (MLR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic inflammatory index (SII), Systemic Inflammation Response Index (SIRI), and Aggregate Index of Systemic Inflammation (AISI)) in carotid restenosis and mortality at 12 months following CEA.

METHODS

The present study was designed as an observational, analytical, retrospective cohort study and included all patients over 18 years of age with a minimum of 70% carotid stenosis and surgical indications for CEA admitted to the Vascular Surgery Clinic, Emergency County Hospital of Targu Mures, Romania between 2018 and 2021.

RESULTS

According to our results, the high pre-operative values of inflammatory biomarkers-MLR (OR: 10.37 and OR: 6.11; p < 0.001), NLR (OR: 34.22 and OR: 37.62; p < 0.001), PLR (OR: 12.02 and OR: 16.06; p < 0.001), SII (OR: 18.11 and OR: 31.70; p < 0.001), SIRI (OR: 16.64 and OR: 9.89; p < 0.001), and AISI (OR: 16.80 and OR: 8.24; p < 0.001)-are strong independent factors predicting the risk of 12-month restenosis and mortality following CEA. Moreover, unstable plaque (OR: 2.83, p < 0.001 and OR: 2.40, p = 0.04) and MI (OR: 3.16, p < 0.001 and OR: 2.83, p = 0.005) were independent predictors of all outcomes. Furthermore, AH (OR: 2.30; p = 0.006), AF (OR: 1.74; p = 0.02), tobacco (OR: 2.25; p < 0.001), obesity (OR: 1.90; p = 0.02), and thrombotic plaques (OR: 2.77; p < 0.001) were all independent predictors of restenosis, but not for mortality in all patients. In contrast, antiplatelet (OR: 0.46; p = 0.004), statin (OR: 0.59; p = 0.04), and ezetimibe (OR:0.45; p = 0.03) therapy were protective factors against restenosis, but not for mortality.

CONCLUSIONS

Our data revealed that higher preoperative inflammatory biomarker values highly predict 12-month restenosis and mortality following CEA. Furthermore, age above 70, unstable plaque, cardiovascular disease, and dyslipidemia were risk factors for all outcomes. Additionally, AH, AF, smoking, and obesity were all independent predictors of restenosis but not of mortality in all patients. Antiplatelet and statin medication, on the other hand, were protective against restenosis but not against mortality.

Prediction of Carotid In-Stent Restenosis by Computed Tomography Angiography Carotid Plaque-Based Radiomics

In-stent restenosis (ISR) after carotid artery stenting (CAS) critically influences long-term CAS benefits and safety. The study was aimed at screening preoperative ISR-predictive features and developing predictive models. Thus, we retrospectively analyzed clinical and imaging data of 221 patients who underwent pre-CAS carotid computed tomography angiography (CTA) and whose digital subtraction angiography data for verifying ISR presence were available. Carotid plaque characteristics determined using CTA were used to build a traditional model. Backward elimination (likelihood ratio) was used for the radiomics model. Furthermore, a combined model was built using the traditional and radiomics features. Five-fold cross-validation was used to evaluate the accuracy of the trained classifier and stability of the selected features. Follow-up angiography showed ISR in 30 patients. Carotid plaque length and thickness were independently associated with ISR (multivariate analysis); regarding the conventional model, the area under the curve (AUC) was 0.84 and 0.82 in the training and validation cohorts, respectively. The corresponding AUC values for the radiomics-based model were 0.87 and 0.82, and those for the optimal combined model were 0.88 and 0.83. Plaque length and thickness could independently predict post-CAS ISR, and the combination of radiomics and plaque features afforded the best predictive performance.

Retrospective analysis of biochemical markers in COVID-19 intensive care unit patients

Background

The aim of the study was to evaluate the presence and effects of hematological and biological parameters in the diagnosis of the disease by performing blood tests on COVID-19 patients admitted to the intensive care unit (ICU).

Results

Biochemical parameters from the blood samples of 279 patients who were confirmed to have COVID-19 and met the criteria for admission to the ICU were compared between discharged and deceased patients. Multiple logistic regression analysis was performed in terms of mortality and probability of being discharged. The predictive value of serum C-reactive protein (CRP), procalcitonin (PCT), lymphocyte, neutrophil, leucocyte, and platelet (PLT) levels was evaluated by measuring the area under the receiver operating characteristic curve (AUROC).

Comparisons made according to deceased and survival patients results revealed that while no statistically significant difference was observed between test groups lymphocyte and platelet-lymphocyte ratio values, statistically significant difference was found between the test groups regarding platelet, leukocyte, neutrophil, PCT, neutrophil-lymphocyte ratio (NLR), and thrombocyte count × neutrophil count/lymphocyte count (SII) values.

Conclusions

This study showed that biochemical parameters examined are important in determining the prognosis of the disease and may be useful in determining the direction of the treatment process and predicting the risk of discharge or death after the initial evaluation of the patients in the ICU.

Blood Cell Count Indexes of Systemic Inflammation in Carotid Artery Disease: Current Evidence and Future Perspectives

Carotid artery disease is commonly encountered in clinical practice and accounts for approximately 30% of ischemic strokes in the general population. Numerous biomarkers have been investigated as predictors of the onset and progression of carotid disease, the occurrence of cerebrovascular complications, and overall prognosis. Among them, blood cell count (BCC) indexes of systemic inflammation might be particularly useful, from a pathophysiological and clinical point of view, given the inflammatory nature of the atherosclerotic process. The aim of this review is to discuss the available evidence regarding the role of common BCC indexes, such as the neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR), platelet to lymphocyte ratio (PLR), mean platelet volume (MPV), platelet distribution width (PDW), and red cell distribution width (RDW), in the diagnosis and risk stratification of carotid artery disease, and their potential clinical applications.

Neutrophil-to-lymphocyte Ratio and Platelet-to-lymphocyte Ratio as Biomarkers for Cardiovascular Surgery Procedures: A Literature Review

BACKGROUND

Neutrophil-to-lymphocyte ratio (NLR) and the platelet-to-lymphocyte ratio (PLR) have been studied so far as prognostic factors of cardiovascular diseases. Their role interplayed with endothelial inflammation has emerged as optimal predictors for major cardiovascular disease events and prognostic factors for post-procedural outcomes.

METHODS

A review of the current literature was undertaken to investigate the relationship between NLR and PLR with percutaneous, cardiac surgery, and vascular surgery procedures.

RESULTS

Our findings show that perioperative NLR and PLR levels are significantly correlated with patient morbidity and mortality rates.

CONCLUSION

These biomarkers have several attractive characteristics, as they are inexpensive and quickly available, and they can contribute to the early identification of patients at high risk for periprocedural adverse events.

The value of clinical parameters in predicting the severity of COVID-19

To study the relationship between clinical indexes and the severity of coronavirus disease 2019 (COVID-19), and to explore its role in predicting the severity of COVID-19. Clinical data of 443 patients with COVID-19 admitted to our hospital were retrospectively analyzed, which were divided into nonsevere group (n = 304) and severe group (n = 139) according to their condition. Clinical indicators were compared between different groups. The differences in sex, age, the proportion of patients with combined heart disease, leukocyte, neutrophil-to-lymphocyte ratio (NLR), neutrophil, lymphocyte, platelet, D-dimer, C-reactive protein (CRP), procalcitonin, lactate dehydrogenase, and albumin on admission between the two groups were statistically significant (P  <  .05). Multivariate logistic regression analysis showed NLR and CRP were independent risk factors for severe COVID-19. Platelets were independent protective factors for severe COVID-19. The receiver operating characteristic (ROC) curve analysis demonstrated area under the curve of NLR, platelet, CRP, and combination was 0.737, 0.634, 0.734, and 0.774, respectively. NLR, CRP, and platelets can effectively assess the severity of COVID-19, among which NLR is the best predictor of severe COVID-19, and the combination of three clinical indicators can further predict severe COVID-19.