Lipoprotein(a), ferritin, and albumin in acute phase reaction predicts severity and mortality of acute ischemic stroke in North Indian Patients

The impact of nutritional and inflammatory status on mortality in stroke patients: Results from NHANES 2005-2018

BACKGROUND

Stroke significantly impacts global health, being a primary cause of disability, dementia, and mortality. The interplay of nutritional deficiency and systemic inflammation plays a pivotal role in determining stroke outcomes. While the Prognostic Nutritional Index (PNI) and the Advanced Lung Cancer Inflammation Index (ALI) have been recognized for their prognostic value in various diseases, their relevance in stroke prognosis necessitates further exploration.

METHODS

This study utilized data from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018, analyzing 908 stroke survivors to examine the associations between PNI, ALI, and mortality outcomes. Weighted Cox proportional hazards models were applied to assess the associations, controlling for demographic and health-related variables. Kaplan-Meier curves and restricted cubic splines were used to evaluate survival differences and non-linear relationships, respectively. Additionally, subgroup and sensitivity analyses were conducted to verify the robustness of the associations.

RESULTS

In our cohort, elevated PNI was associated with significantly lower risks of all-cause mortality (Hazard Ratio [HR]: 0.53, 95 % Confidence Interval [CI]: 0.37-0.75, p < 0.001) and cardiovascular mortality (HR: 0.60, 95 % CI: 0.38-0.94, p = 0.028). Similarly, higher ALI levels correlated with a reduced risk of all-cause mortality (HR: 0.53, 95 % CI: 0.37-0.72, p < 0.001), though its impact on cardiovascular mortality did not reach statistical significance after adjustment. Subgroup analysis revealed that gender, age, and diabetes status modulated the relationship between PNI/ALI and mortality outcomes, with significant interactions observed especially in diabetic patients (PNI: P for interaction = 0.025 and ALI: P for interaction = 0.007).

CONCLUSIONS

This study confirms that higher PNI and ALI are associated with lower all-cause mortality in stroke survivors. Elevated PNI also reduces cardiovascular mortality risk. Gender, age, and diabetes status influence these associations. These findings highlight the importance of monitoring nutritional and inflammatory status in stroke recovery.

Lipoprotein(a) as a Stroke Biomarker: Pathophysiological Pathways and Therapeutic Implications

Lipoprotein(a) [Lp(a)] has attracted widespread interest as a potential biomarker for cerebrovascular diseases due to its genetically determined and stable plasma concentration throughout life. Lp(a) exhibits pro-atherogenic and pro-thrombotic properties that contribute to vascular pathology in both extracranial and intracranial vessels. Elevated Lp(a) levels are strongly associated with large-artery atherosclerotic stroke, while data on its role in other ischemic subtypes and hemorrhagic stroke remains limited and inconsistent. Recent advances in Lp(a)-lowering therapies, such as antisense oligonucleotides and RNA-based agents, have demonstrated significant efficacy in reducing plasma Lp(a) levels. These advances have prompted increasing research into their potential application in the prevention and treatment of cerebrovascular diseases, aiming to determine whether Lp(a) reduction may translate into a reduced risk of stroke and large-artery atherosclerosis. This narrative review summarizes the current evidence on the association between Lp(a) and stroke, focusing on its utility in patient risk stratification. It also highlights existing knowledge gaps and outlines directions for future research, particularly in understanding subtype-specific effects and evaluating the clinical benefits of Lp(a)-targeted therapies.

Association between albumin-to-alkaline phosphatase ratio and a 3-month unfavorable outcome in patients with acute ischemic stroke

Background

The albumin-to-alkaline phosphatase ratio (AAPR) is a predictor of several disease outcomes. However, there is no study about AAPR and acute ischemic stroke outcomes. This study aims to investigate the relationship between AAPR and a 3-month unfavorable outcome in patients with acute ischemic stroke.

Methods

This prospective cohort study included 2084 patients with acute ischemic stroke in South Korea. After applying strict exclusion criteria, 1,886 patients were included in our analysis and divided into three groups based on AAPR tertiles. An unfavorable outcome was defined as a 3-month modified Rankin scale (mRS) score > 2. Logistic regression analysis and smooth curve fitting analysis were applied to investigate the relationship between AAPR and unfavorable outcomes. Subgroup analysis was also performed to assess whether influencing factors changed the association between AAPR and unfavorable outcomes.

Results

After adjusting for potential confounders, multivariate analysis showed that AAPR was significantly associated with a 3-month unfavorable outcome (OR 0.18, 95% CI 0.09-0.35, p < 0.001). The smooth curve fitting analysis showed a nonlinear relationship between AAPR and a 3-month unfavorable outcome. The infection point was 0.588 according to the recursive method, and the threshold analysis showed when AAPR was ≤0.588, with the per unit increase of AAPR, the 3-month unfavorable outcome risk decreased by 96% (OR 0.04, 95% CI 0.01-0.2, p < 0.001). However, when AAPR was >0.588, there was no negative correlation between AAPR and a 3-month unfavorable outcome (OR 0.33, 95% CI 0.08-1.3, p = 0.112).

Conclusion

This study is the first to suggest a non-linear relationship between AAPR and a 3-month unfavorable outcome of acute ischemic stroke. AAPR was negatively correlated with a 3-month unfavorable outcome when AAPR was <0.588.

Impact of elevated lipoprotein(a) levels on the functional outcomes of ischemic stroke patients: A systematic review and meta-analysis

BACKGROUND AND PURPOSE

Elevated serum lipoprotein(a) (Lp[a]) levels have been linked to an increased incidence of stroke. This systematic review and meta-analysis aimed to evaluate the impact of serum Lp(a) on the functional outcomes of patients with ischemic stroke (IS).

METHODS

We conducted a comprehensive search of the MEDLINE, Web of Science, Embase, Wanfang, and China National Knowledge Infrastructure databases to identify relevant cohort studies. A random effects model was utilized to synthesize the data, accounting for study heterogeneity.

RESULTS

The analysis included 11 cohort studies comprising 11,958 patients with IS. Pooled results indicated that high baseline Lp(a) levels were associated with an increased risk of poor functional outcomes during follow-up (odds ratio [OR] = 2.13, 95% confidence interval = 1.67-2.71, p < 0.001, I2 = 62%). Subgroup analyses revealed that the relationship between high Lp(a) levels and the risk of poor functional outcomes was more pronounced at discharge (OR = 3.25), 3 months (OR = 2.02), and 6 months (OR = 2.11) poststroke, compared to 12 months (OR = 1.25, p for subgroup difference < 0.001). Furthermore, the association was attenuated yet remained significant in studies adjusting for low-density lipoprotein cholesterol (LDL-C) compared to those that did not adjust for LDL-C (OR = 1.69 vs. 2.63, p for subgroup difference = 0.03).

CONCLUSIONS

High serum Lp(a) levels at baseline are significantly associated with poor functional outcomes in patients with IS.

Correlation between lipoprotein(a) and recurrent ischemic events post-cerebral vascular stent implantation

BACKGROUND AND AIM

The association of Lipoprotein(a) (Lp[a]) with recurrent ischemic events in stented patients remains uncertain. So, this research aimed to investigate the impact of elevated Lp(a) levels on the occurrence of ischemic events in this specific patient population.

METHODS

Totally 553 patients who underwent intracranial or extracranial artery stent implantation were included. Baseline data were collected and postoperative ischemic outcomes were followed up. Cox regression analysis was used to investigate the association between Lp(a) and outcomes, while accounting for confounding factors. Finally, we established prediction models based on nomogram.

RESULTS

Of total 553 patients, a number of 107 (19.3%) experienced outcomes. These included 46 cases (25.4%) in group with elevated Lp(a) levels (>30 mg/dL) and 61 cases (16.4%) in non-elevated group (χ2=6.343, p=0.012). The group with elevated Lp(a) was 1.811 times more likely to experience ischemic events than the non-elevated group, each 1 mg/dL increase in Lp(a) resulted in a 1.008-fold increase in the recurrence rate of ischemic events. In addition, sex (male), previous history of coronary heart disease, decreased albumin, elevated very low density lipoprotein cholesterol and poorly controlled risk factors (including blood pressure and blood sugar) were also associated with a high risk of recurrent ischemic events after stent implantation.

CONCLUSION

Lp(a) elevation was a significant risk factor for ischemic events in symptomatic patients who underwent intracranial or extracranial artery stenting.

Association between lipoprotein (a) and risk of atherosclerotic cardiovascular disease events among maintenance hemodialysis patients in Beijing, China: a single-center, retrospective study

BACKGROUND

Serum lipoprotein(a) [Lp(a)] is an independent risk factor for atherosclerotic cardiovascular disease (ASCVD) in the general population, its association with ASCVD incidence in Chinese maintenance hemodialysis (MHD) patients remains unclear. We aimed to evaluate the relationship between Lp(a) levels and ASCVD incidence among MHD patients in Beijing, China.

METHODS

This retrospective, observational cohort study included MHD patients at Beijing Tongren Hospital from January 1, 2013 to December 1, 2020, and followed until December 1,2023. The primary outcome was ASCVD occurrence. Kaplan-Meier survival analysis was used to evaluate ASCVD-free survival in MHD patients, with stratification based on Lp(a) levels. Cox regression analyses were conducted to assess the association between Lp(a) levels and the occurrence of ASCVD.

RESULTS

A total of 265 patients were enrolled in the study. The median follow-up period were 71 months.78 (29.4%) participants experienced ASCVD events, and 118 (47%) patients died, with 58 (49.1%) deaths attributed to ASCVD. Spearman rank correlation analyses revealed positive correlations between serum Lp(a) levels and LDL-c levels, and negative correlations with hemoglobin, triglyceride, serum iron, serum creatinine, and albumin levels. Multivariate Cox regression analysis showed that Lp(a) levels ≥ 30 mg/L, increased age, decreased serum albumin levels, and a history of diabetes mellitus were significantly associated with ASCVD incidence.

CONCLUSIONS

This study demonstrated an independent and positive association between serum Lp(a) levels and the risk of ASCVD in MHD patients, suggesting that serum Lp(a) could potentially serve as a clinical biomarker for estimating ASCVD risk in this population.

Which one predicts mortality better in acute ischemic stroke: negative vs positive acute-phase reactants

AIM

The aim of the study is to investigate the relationship between negative acute-phase reactants and positive acute-phase reactants with in-hospital mortality in patients diagnosed with acute ischemic stroke (AIS) in the emergency department (ED).

METHODS AND MATERIALS

Patients aged 18 and older who presented to the ED of a tertiary hospital with AIS were included in the study. Demographic and clinical characteristics, laboratory parameters, acute-phase reactants, National Institutes of Health Stroke Scale (NIHSS), and outcome data of the included patients were recorded on a standard data form.

RESULTS

A total of 588 patients were included in the study. When the in-hospital mortality of patients was examined, the mortality rate was 17.7%. In the analysis for predicting mortality, it was determined that albumin had the highest predictive power between the area under the curve (AUC) and the determined predictive values (AUC: 0.759, 95% CI 0.707-0.810, p < 0.001). The analyses of the study data revealed that albumin (<0.001) and TF (p = 0.049), which are negative acute-phase reactants, were independent predictors of mortality. According to our study data, in patients with AIS, for each unit decrease in albumin level at the time of ED admission, the risk of mortality increased by 0.868 times, and for each unit decrease in TF level, the risk of mortality increased by 0.593 times.

CONCLUSION

According to the study data, albumin and TF levels, which are negative acute-phase reactants, are independent determinants of in-hospital mortality in patients with acute ischemic stroke in the emergency department.

Lipoprotein a - Lp(a)

Lp(a) is a genetically determined, heritable, independent and causal risk factor for ASCVD. About 1 in 5 people worldwide have elevated Lp(a) (>50 mg/dL or >125 nmol/L) whereas in Indians it is 25 %. Epidemiological, genome-wide association and mendelian randomization studies have demonstrated an association between elevated Lp(a) levels and increased incidence of myocardial infarction, aortic valve stenosis, ischemic stroke, heart failure, CV and all-cause mortality. The increased Lp(a)-mediated CV risk is mediated by pro-inflammatory, pro-thrombotic and pro-atherogenic processes, leading to progression of atherosclerosis and increased risk of thrombosis. Lp(a) level reaches peak by 5 years of age and remains stable over time. Levels are not much influenced by dietary and environmental factors but it can vary in certain clinical situations like thyroid diseases, chronic kidney disease, inflammation and sepsis. It should be measured at least once in life time. Cascade testing for high Lp(a) is recommended in the settings of FH, family history of (very) high Lp(a), and personal or family history of ASCVD. In the absence of specific Lp(a)-lowering therapies, comprehensive risk factor management is recommended as per guidelines for individuals with elevated Lp(a). PCSK9 inhibitors and Inclisiran reduce Lp(a) by 25%. Pelacarsen is an antisense oligonucleotide and is found to reduce Lp(a) by 80%. In a recent Indian study of 1,021 CAD patients, presence of elevated Lp(a) (>50 mg/dL) correlated with severe angiographic disease. 37% of ACS patients exhibited elevated Lp(a) and it was higher in young CAD patients with FH (43%).

Causal Association of Iron Status With Functional Outcome After Ischemic Stroke

BACKGROUND

Iron status has been associated with functional outcomes after ischemic stroke (IS). Nonetheless, this association may be affected by confounders. We perform Mendelian randomization to clarify the causal association between iron status and functional outcome after IS.

METHODS

We obtained summary-level statistics related to iron status biomarkers from a meta-analysis of a gene-wide association study conducted by the Genetics of Iron Status Consortium, which included 11 discovery cohorts and 8 replication cohorts. We also took genetic variants related to 4 biomarkers of iron status from combining gene-wide association study results of Iceland, the United Kingdom, and Denmark to perform a replicate Mendelian randomization analysis. This data set included 4 iron status biomarkers, namely, ferritin, total iron binding capacity, iron, and transferrin saturation (TSAT). The confounders in these data sets have been adjusted to mitigate the collider bias. We acquired summary statistics data sets for functional outcomes following IS from the gene-wide association study meta-analysis conducted by the Genetics of Ischemic Stroke Functional Outcome Consortium. The genetic estimates for functional outcomes at 90 days after IS were evaluated by the modified Rankin Scale score, including 3741 cases with good functional outcomes (modified Rankin Scale score, 0-2) and 2280 subjects with poor functional outcomes poststroke (modified Rankin Scale score, 3-6). Inverse variance weighting was used as the primary method, complemented by sensitivity analyses for pleiotropy and increasing robustness.

RESULTS

Reported with odds ratios (ORs) of stroke outcome with per SD unit increase in genetically determined iron status biomarker, TSAT and iron were associated with poor functional outcome after IS (TSAT: OR, 1.36 [95% CI, 1.23-1.50]; P=2.27×10-9; iron: OR, 1.44 [95% CI, 1.13-1.85]; P=0.0033). In replicate Mendelian randomization analysis, the detrimental effects of iron on poor functional outcome after IS remained stable (OR, 1.60 [95% CI, 1.24-2.08]; P=0.0003). In the meta-analysis, iron and TSAT were associated with poor functional outcomes after IS (TSAT: ORmeta, 1.35 [95% CI, 1.23-1.48]; iron: ORmeta, 1.51 [95% CI, 1.27-1.81]). Through sensitivity analyses and reverse Mendelian randomization analyses, we confirmed the robustness of the results.

CONCLUSIONS

Our study provides evidence suggesting a potential causal relationship between iron status and poor functional outcomes after IS. Future studies are required to illuminate the underlying mechanism.

Prediction of recurrence of ischemic stroke within 1 year of discharge based on machine learning MRI radiomics

Purpose

This study aimed to investigate the value of a machine learning-based magnetic resonance imaging (MRI) radiomics model in predicting the risk of recurrence within 1 year following an acute ischemic stroke (AIS).

Methods

The MRI and clinical data of 612 patients diagnosed with AIS at the Second Affiliated Hospital of Nanchang University from March 1, 2019, to March 5, 2021, were obtained. The patients were divided into recurrence and non-recurrence groups according to whether they had a recurrent stroke within 1 year after discharge. Randomized splitting was used to divide the data into training and validation sets using a ratio of 7:3. Two radiologists used the 3D-slicer software to label the lesions on brain diffusion-weighted (DWI) MRI sequences. Radiomics features were extracted from the annotated images using the pyradiomics software package, and the features were filtered using the Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis. Four machine learning algorithms, logistic regression (LR), Support Vector Classification (SVC), LightGBM, and Random forest (RF), were used to construct a recurrence prediction model. For each algorithm, three models were constructed based on the MRI radiomics features, clinical features, and combined MRI radiomics and clinical features. The sensitivity, specificity, and area under the receiver operating characteristic (ROC) curve (AUC) were used to compare the predictive efficacy of the models.

Results

Twenty features were selected from 1,037 radiomics features extracted from DWI images. The LightGBM model based on data with three different features achieved the best prediction accuracy from all 4 models in the validation set. The LightGBM model based solely on radiomics features achieved a sensitivity, specificity, and AUC of 0.65, 0.671, and 0.647, respectively, and the model based on clinical data achieved a sensitivity, specificity, and AUC of 0.7, 0.799, 0.735, respectively. The sensitivity, specificity, and AUC of the LightGBM model base on both radiomics and clinical features achieved the best performance with a sensitivity, specificity, and AUC of 0.85, 0.805, 0.789, respectively.

Conclusion

The ischemic stroke recurrence prediction model based on LightGBM achieved the best prediction of recurrence within 1 year following an AIS. The combination of MRI radiomics features and clinical data improved the prediction performance of the model.

Serum Ferritin Levels Are Associated with Adipose Tissue Dysfunction-Related Indices in Obese Adults

Iron overload is associated with type 2 diabetes and metabolic syndrome. However, little is known about the role of iron status on adipose tissue. We aimed to investigate the association of iron metabolism markers with adipose tissue dysfunction-related indices in obese individuals. A total of 226 obese adults with body mass index (BMI) ≥ 30 kg/m² were recruited into the study. Hemoglobin, serum ferritin, iron, soluble transferrin receptor (sTfR), total iron-binding capacity (TIBC), transferrin saturation (TSAT), and other clinical parameters were measured. Adipose tissue dysfunction was assessed by adipose tissue insulin resistance (adipose-IR), visceral adiposity index (VAI), and lipid accumulation product (LAP) index. Serum ferritin levels, adipose-IR, and VAI progressively increased from class I to class III obesity and significantly higher in class III obesity. Correlation analysis suggested that only serum ferritin levels were positively correlated with adipose-IR (r = 0.284, P < 0.001), VAI (r = 0.209, P = 0.002), and LAP (r = 0.324, P < 0.001). Moreover, further logistic regression analysis revealed serum ferritin was significantly associated with elevated adipose-IR, VAI, and LAP. After adjustment for potential confounders, serum ferritin levels remained independently associated with elevated adipose-IR (OR = 1.004, 95% CI 1.000-1.009, P < 0.05) and VAI (OR = 1.005, 95% CI 1.001-1.009, P < 0.05). Serum ferritin was associated with elevated adipose-IR, VAI, and LAP, suggesting that ferritin could be an important early indicator for the risk of developing adipose tissue dysfunction in obese individuals.

Effects of Hyperferritinemia on Functional Outcome in Acute Ischemic Stroke Patients with Admission Hyperglycemia

INTRODUCTION

Hyperferritinemia, presented as elevated serum ferritin level, is an indicator of high iron status which plays roles in secondary brain injury after acute ischemic stroke (AIS). However, the effects of hyperferritinemia and poor outcomes remain uncertain. Additionally, admission hyperglycemia quite frequently accompanies AIS patients, which is associated with unfavorable outcome. Thus, we aimed to investigate the effects of hyperferritinemia on 3-month and 1-year functional outcomes in AIS patients and especially those with admission hyperglycemia.

METHODS

AIS patients within 24 h of onset were enrolled at West China Hospital from October 2016 to December 2019. Serum ferritin and blood glucose levels were tested on admission. Poor functional outcome at 3 months and 1 year was defined as modified Rankin Scale score ≥3. Multivariable analysis was used to investigate the associations between hyperferritinemia and 3-month and 1-year outcomes. Subgroup analysis was performed in patients with and without hyperglycemia.

RESULTS

Of 723 patients (mean age 68.11 years, 60.6% males) finally included, 347 (48.0%) had hyperferritinemia. The incidence of poor outcome was 45.2% at 3 months and 41.2% at 1 year. Patients with hyperferritinemia had a higher frequency of poor 3-month outcome (51.8% vs. 39.2%, p = 0.001) and poor 1-year outcome (46.8% vs. 36.1%, p = 0.004). In all AIS patients, hyperferritinemia was not independently associated with poor functional outcome at 3 months or 1 year after adjusting for confounders (all p > 0.05). In AIS patients with hyperglycemia, hyperferritinemia was an independent factor correlated with poor 3-month outcome (OR = 1.711, 95% CI 1.093-2.681, p = 0.019) but not with poor 1-year outcome (p > 0.05).

CONCLUSIONS

High iron status, presented as hyperferritinemia, is associated with poor 3-month functional outcome in AIS patients with hyperglycemia. Evaluating serum ferritin level may be conducive to assess the risk of short-term poor outcome in AIS patients with hyperglycemia. Further studies will be required to confirm our findings.

The mechanism of ferroptosis regulating oxidative stress in ischemic stroke and the regulation mechanism of natural pharmacological active components

Cerebrovascular diseases, such as ischemic stroke, pose serious medical challenges worldwide due to their high morbidity and mortality and limitations in clinical treatment strategies. Studies have shown that reactive oxygen species (ROS)-mediated inflammation, excitotoxicity, and programmed cell death of each neurovascular unit during post-stroke hypoxia and reperfusion play an important role in the pathological cascade. Ferroptosis, a programmed cell death characterized by iron-regulated accumulation of lipid peroxidation, is caused by abnormal metabolism of lipids, glutathione (GSH), and iron, and can accelerate acute central nervous system injury. Recent studies have gradually uncovered the pathological process of ferroptosis in the neurovascular unit of acute stroke. Some drugs such as iron chelators, ferrostatin-1 (Fer-1) and liproxstatin-1 (Lip-1) can protect nerves after neurovascular unit injury in acute stroke by inhibiting ferroptosis. In addition, combined with our previous studies on ferroptosis mediated by natural compounds in ischemic stroke, this review summarized the progress in the regulation mechanism of natural chemical components and herbal chemical components on ferroptosis in recent years, in order to provide reference information for future research on ferroptosis and lead compounds for the development of ferroptosis inhibitors.

Elevated lipoprotein(a) and lipoprotein-associated phospholipase A2 are associated with unfavorable functional outcomes in patients with ischemic stroke

Background

The association of lipoprotein(a) [Lp(a)] and stroke functional outcomes was conflicting. The aim of the study was to clarify whether high Lp(a) is associated with unfavorable functional outcomes in patients with ischemic stroke.

Methods

A total of 9709 individuals from the third China National Stroke Registry cohort were recruited. Plasma level of Lp(a) at admission was measured with enzyme-linked immunosorbent assay. The cut-off was set at the median for Lp(a). Functional outcome was assessed using the modified Rankin scale (mRS) at 3 months and 1 year after ischemic stroke. The association between Lp(a) and functional outcomes was evaluated using a logistic regression model.

Results

The median age was 63.0 years, and 31.1% participants were women. Patients in higher Lp(a) group had higher incidences of unfavorable functional outcomes at 3 months. In logistic regression model, elevated Lp(a) levels were associated with unfavorable functional outcomes at 3 months (Q4 vs. Q1: odds ratio 1.33, 95% confidence interval 1.11–1.61). Subgroup analysis showed that in the lower Lp-PLA₂ group, Lp(a) level was not associated with functional outcomes, but in the higher Lp-PLA₂ group, Lp(a) level was significantly associated with functional outcomes. After grouped by different levels of Lp(a) and Lp-PLA₂, the Lp(a) high/ Lp-PLA₂ high group showed the highest incidence of unfavorable functional outcomes at 3 months and 1 year.

Conclusions

Elevated Lp(a) level is associated with unfavorable functional outcomes in patients with ischemic stroke. The increment in both Lp(a) and Lp-PLA₂ are associated with unfavorable functional outcomes at 3 months and 1 year after ischemic stroke.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12974-021-02359-w.

Lipoprotein (a) level as a risk factor for stroke and its subtype: A systematic review and meta-analysis

The role of lipoprotein-A [Lp (a)] as a risk factor for stroke is less well documented than for coronary heart disease. Hence, we conducted a systematic review and meta-analysis for the published observational studies in order to investigate the association of Lp (a) levels with the risk of stroke and its subtypes. In our meta-analysis, 41 studies involving 7874 ischemic stroke (IS) patients and 32,138 controls; 13 studies for the IS subtypes based on TOAST classification and 7 studies with 871 Intracerebral hemorrhage (ICH) cases and 2865 control subjects were included. A significant association between increased levels of Lp (a) and risk of IS as compared to control subjects was observed (standardized mean difference (SMD) 0.76; 95% confidence interval (CIs) 0.53-0.99). Lp (a) levels were also found to be significantly associated with the risk of large artery atherosclerosis (LAA) subtype of IS (SMD 0.68; 95% CI 0.01-1.34) as well as significantly associated with the risk of ICH (SMD 0.65; 95% CI 0.13-1.17) as compared to controls. Increased Lp (a) levels could be considered as a predictive marker for identifying individuals who are at risk of developing IS, LAA and ICH.

Immune-inflammatory, coagulation, adhesion, and imaging biomarkers combined in machine learning models improve the prediction of death 1 year after ischemic stroke

Some clinical, imaging, and laboratory biomarkers have been identified as predictors of prognosis of acute ischemic stroke (IS). The aim of this study was to evaluate the prognostic validity of a combination of clinical, imaging, and laboratory biomarkers in predicting 1-year mortality of IS. We evaluated 103 patients with IS within 24 h of their hospital admission and assessed demographic data, IS severity using the National Institutes of Health Stroke Scale (NIHSS), carotid intima-media thickness (cIMT), and degree of stenosis, as well as laboratory variables including immune-inflammatory, coagulation, and endothelial dysfunction biomarkers. The IS patients were categorized as survivors and non-survivors 1 year after admission. Non-survivors showed higher NIHSS and cIMT values, lower antithrombin, Protein C, platelet counts, and albumin, and higher Factor VIII, von Willebrand Factor (vWF), white blood cells, tumor necrosis factor (TNF)-α, interleukin (IL)-10, high-sensitivity C-reactive protein (hsCRP), and vascular cellular adhesion molecule 1 (VCAM-1) than survivors. Neural network models separated non-survivors from survivors using NIHSS, cIMT, age, IL-6, TNF-α, hsCRP, Protein C, Protein S, vWF, and platelet endothelial cell adhesion molecule 1 (PECAM-1) with an area under the receiving operating characteristics curve (AUC/ROC) of 0.975, cross-validated accuracy of 93.3%, sensitivity of 100% and specificity of 85.7%. In conclusion, imaging, immune-inflammatory, and coagulation biomarkers add predictive information to the NIHSS clinical score and these biomarkers in combination may act as predictors of 1-year mortality after IS. An early prediction of IS outcome is important for personalized therapeutic strategies that may improve the outcome of IS.

Predictors of death within 6 months of stroke onset: A model with Barthel index, platelet/lymphocyte ratio and serum albumin

AIMS

To develop and internally validate a nomogram to predict the risk of death within 6 months of onset of stroke in Chinese. Identifying risk factors with potentially direct effects on the nomogram will improve the quality of risk assessment and help nurses implement preventive measures based on patient-specific risk factors.

DESIGN

A retrospective study.

METHODS

We performed a least absolute shrinkage and selection operator (LASSO) regression modelling and multivariate logistic regression analysis to establish a prediction model of death risk in stroke patients within 6 months of onset. LASSO and time-dependent Cox regression models were further used to analyse the 6-month survival of stroke patients. Data were collected from 21 October 2013-6 May 2019.

RESULTS

The independent predictors of the nomogram were Barthel index (odds ratio (OR) = 0.980, 95% confidence interval (CI) = 0.961-0.998, p = .03), platelet/lymphocyte ratio (OR = 1.005, 95% CI = 1.000-1.010, p = .04) and serum albumin (OR = 0.854, 95% CI = 0.774-0.931, p < .01). This model showed good discrimination and consistency, and its discrimination evaluation C-statistic was 0.879 in the training set and 0.891 in the internal validation set. The DCA indicated that the nomogram had a higher overall net benefit over most of the threshold probability range. The time-dependent Cox regression model established the impact of the time effect of the age variable on survival time.

CONCLUSIONS

Our results identified three predictors of death within 6 months of stroke in Chinese. These predictors can be used as risk assessment indicators to help caregivers performing clinical nursing work, and in clinical practice, it is suggested that nurses should evaluate the self-care ability of stroke patients in detail. The constructed nomogram can help identify patients at high risk of death within 6 months, so that intervention can be performed as early as possible.

Serum Albumin Levels and Clinical Outcomes Among Ischemic Stroke Patients Treated with Endovascular Thrombectomy

BACKGROUND AND AIMS

Albumin levels have been reported to be associated with all-cause and cardiovascular mortality. The aim of this study was to investigate the association between serum albumin and prognosis of ischemic stroke patients after endovascular thrombectomy (EVT) treatment.

METHODS

Patients with EVT due to large artery occlusion in anterior circulation were selected from ACTUAL (endovascular treatment for acute anterior circulation) ischemic stroke multicenter registry in China. Serum albumin levels were measured within 24 h of admission. The primary outcome was poor functional outcome (modified Rankin scale score of 3-6) at three months. Secondary outcomes were symptomatic intracranial hemorrhage (sICH) and three-month mortality.

RESULTS

A total of 605 patients (mean age, 64.2 years; 59.3% male) were enrolled. Up to three months after stroke, 342 patients (56.5%) developed poor functional outcome. After multivariate adjustment for demographic characteristics, National Institutes of Health stroke score, and other potential confounders, the odds ratio for the lowest tertile of serum albumin levels was 2.43 (95%CI, 1.18-5.01; P=0.046) for poor functional outcome, compared with the highest category. Restricted cubic spline regression demonstrated a linear association between albumin levels and poor functional outcome (P for linearity=0.017). Subgroup analyses further confirmed these results. Similar significant findings were also found in the association of serum albumin with mortality, but not with sICH.

CONCLUSION

Decreased serum albumin levels were independently associated with poor prognosis at 90 days after acute large vessel occlusion stroke in anterior circulation treated with EVT.

Ferritin as a key risk factor for nonalcoholic fatty liver disease in children with obesity

Background

The association between serum ferritin and nonalcoholic fatty liver disease (NAFLD) in children with obesity is not clear. This study was designed to investigate whether serum ferritin can be an independent predictor for NAFLD.

Methods

According to the hepatic ultrasound results, a total of 347 children with obesity were enrolled in this study. Among them, 95 patients with NAFLD and 95 without NAFLD were matched for gender, age, blood pressure and body mass index, the odds ratios (OR) and 95% confidence intervals (CI) for the association of ferritin and the risk of NAFLD were analyzed.

Results

After propensity score matching, ferritin values of the patients with NAFLD were significantly higher than those without NAFLD group. Alanine aminotransferase and ferritin were strongly associated with NAFLD in multivariate stepwise logistic regression analysis. The medium and high levels of ferritin increased risk of NAFLD, and the adjusted ORs were 3.298 (95% CI:1.326‐8.204), 7.322 (95% CI:2.725‐19.574) across the ferritin concentration tertiles after adjustment for confounders. Ferritin was shown to be the best predictor for NAFLD with sensitivity and specificity of 60.0% and 77.9%, respectively, area under the curve was 0.733.

Conclusion

The results show that serum ferritin can usefully be considered as a predictor of NAFLD in children with obesity.

Immune-Inflammatory, Metabolic, Oxidative, and Nitrosative Stress Biomarkers Predict Acute Ischemic Stroke and Short-Term Outcome

Immune-inflammatory, metabolic, oxidative, and nitrosative stress (IMO&NS) pathways and, consequently, neurotoxicity are involved in acute ischemic stroke (IS). The simultaneous assessment of multiple IMO&NS biomarkers may be useful to predict IS and its prognosis. The aim of this study was to identify the IMO&NS biomarkers, which predict short-term IS outcome. The study included 176 IS patients and 176 healthy controls. Modified Rankin scale (mRS) was applied within 8 h after IS (baseline) and 3 months later (endpoint). Blood samples were obtained within 24 h after hospital admission. IS was associated with increased white blood cell (WBC) counts, high sensitivity C-reactive protein (hsCRP), interleukin (IL-6), lipid hydroperoxides (LOOHs), nitric oxide metabolites (NOx), homocysteine, ferritin, erythrocyte sedimentation rate (ESR), glucose, insulin, and lowered iron, 25-hydroxyvitamin D [25(OH)D], total cholesterol, and high-density lipoprotein (HDL) cholesterol. We found that 89.4% of the IS patients may be correctly classified using the cumulative effects of male sex, systolic blood pressure (SBP), glucose, NOx, LOOH, 25(OH)D, IL-6, and WBC with sensitivity of 86.2% and specificity of 93.0%. Moreover, increased baseline disability (mRS ≥ 3) was associated with increased ferritin, IL-6, hsCRP, WBC, ESR, and glucose. We found that 25.0% of the variance in the 3-month endpoint (mRS) was explained by the regression on glucose, ESR, age (all positively), and HDL-cholesterol, and 25(OH)D (both negatively). These results show that the cumulative effects of IMO&NS biomarkers are associated with IS and predict a poor outcome at 3-month follow-up.

Iron Overload Exacerbates the Risk of Hemorrhagic Transformation After tPA (Tissue-Type Plasminogen Activator) Administration in Thromboembolic Stroke Mice

Background and Purpose- Recanalization with tPA (tissue-type plasminogen activator) is the only pharmacological therapy available for patients with ischemic stroke. However, the percentage of patients who may receive this therapy is limited by the risk of hemorrhagic transformation (HT)-the main complication of ischemic stroke. Our aim is to establish whether iron overload affects HT risk, to identify mechanisms that could help to select patients and to prevent this devastating complication. Methods- Mice fed with control or high-iron diet were subjected to thromboembolic stroke, with or without tPA therapy at different times after occlusion. Blood samples were collected for determination of malondialdehyde, matrix metalloproteinases, and fibronectin. Brain samples were collected 24 hours after occlusion to determine brain infarct and edema size, hemorrhage extension, IgG extravasation, and inflammatory and oxidative markers (neutrophil infiltration, 4-hydroxynonenal, and matrix metalloproteinase-9 staining). Results- Despite an increased rate of recanalization, iron-overload mice showed less neuroprotection after tPA administration. Importantly, iron overload exacerbated the risk of HT after early tPA administration, accelerated ischemia-induced serum matrix metalloproteinase-9 increase, and enhanced basal serum lipid peroxidation. High iron increased brain lipid peroxidation at most times and neutrophil infiltration at the latest time studied. Conclusions- Our data showing that iron overload increases the death of the compromised tissues, accelerates the time of tPA-induced reperfusion, and exacerbates the risk of HT may have relevant clinical implications for a safer thrombolysis. Patients with stroke with iron overload might be at high risk of HT after fibrinolysis, and, therefore, clinical studies must be performed to confirm our results.

Lipoprotein(a): An underrecognized genetic risk factor for malignant coronary artery disease in young Indians

Malignant coronary artery disease (CAD) refers to a severe and extensive atherosclerotic process involving multiple coronary arteries in young individuals (aged <45 years in men and <50 years in women) with a low or no burden of established risk factors. Indians, in general, develop acute myocardial infarction (AMI) about 10 years earlier; AMI rates are threefold to fivefold higher in young Indians than in other populations. Although established CAD risk factors have a predictive value, they do not fully account for the excessive burden of CAD in young Indians. Lipoprotein(a) (Lp(a)) is increasingly recognized as the strongest known genetic risk factor for premature CAD, with high levels observed in Indians with malignant CAD. High Lp(a) levels confer a twofold to threefold risk of CAD-a risk similar to that of established risk factors, including diabetes. South Asians have the second highest Lp(a) levels and the highest risk of AMI from the elevated levels, more than double the risk observed in people of European descent. Approximately 25% of Indians and other South Asians have elevated Lp(a) levels (≥50 mg/dl), rendering Lp(a) a risk factor of great importance, similar to or surpassing diabetes. Lp(a) measurement is ready for clinical use and should be an essential part of all CAD research in Indians.

Lipoprotein(a): An independent, genetic, and causal factor for cardiovascular disease and acute myocardial infarction

Lipoprotein(a) [Lp(a)] is a circulating lipoprotein, and its level is largely determined by variation in the Lp(a) gene (LPA) locus encoding apo(a). Genetic variation in the LPA gene that increases Lp(a) level also increases coronary artery disease (CAD) risk, suggesting that Lp(a) is a causal factor for CAD risk. Lp(a) is the preferential lipoprotein carrier for oxidized phospholipids (OxPL), a proatherogenic and proinflammatory biomarker. Lp(a) adversely affects endothelial function, inflammation, oxidative stress, fibrinolysis, and plaque stability, leading to accelerated atherothrombosis and premature CAD. The INTER-HEART Study has established the usefulness of Lp(a) in assessing the risk of acute myocardial infarction in ethnically diverse populations with South Asians having the highest risk and population attributable risk. The 2018 Cholesterol Clinical Practice Guideline have recognized elevated Lp(a) as an atherosclerotic cardiovascular disease risk enhancer for initiating or intensifying statin therapy.

Meta-analysis of the relationship between amyotrophic lateral sclerosis and susceptibility to serum ferritin level elevation

Objective:

To study the possible relationship between amyotrophic lateral sclerosis (ALS) patients and their susceptibility to serum ferritin level elevation.

Methods:

We searched the PubMed, Springer, Medline, and OVID databases for any-language original research articles relating to serum ferritin levels in ALS patients published between June 2005 and June 2015. The search term used with ‘amyotrophic lateral sclerosis’, ‘ferritins’, ‘ferritin’, ‘iron’, ‘iron stores, ‘iron status, ‘iron intake’, and ‘iron consumption’. The meta-analysis software RevMan 5.0 was used for the heterogeneity test, and to test for the overall effect.

Results:

Six case-control studies met our inclusion criteria including data from a total of 1813 participants. The mean difference of serum ferritin levels comparing ALS to healthy controls was 69.05 (95% confidence interval: 52.56-85.54; p<0.00001); heterogeneity: p=0.03; I²=50%. The findings indicate homology in the sensitivity analysis. Funnel plot assessment indicated publication bias.

Conclusion:

Our results suggest that ALS is positively associated with susceptibility to the elevation of serum ferritin levels; however, further evidence is required to support this.

Reference values for serum ferritin and percentage of transferrin saturation in Korean children and adolescents

Background

Ferritin reference values vary by age, gender, and ethnicity. We aimed to determine reference values of serum ferritin (SF) and the percentage of transferrin saturation (TSAT) for Korean children and adolescents.

Methods

We analyzed data from 2,487 participants (1,311 males and 1,176 females) aged 10-20 years from the Korea National Health and Nutrition Examination Survey (2010-2012). We calculated age- and gender-stratified means and percentile values for SF and TSAT.

Results

We first plotted mean SF and TSAT by gender and according to age. In males, mean SF tended to be relatively constant among participants aged 10 to 14 years, with an upward trend thereafter. Mean SF trended downward among female participants until the age of 15 years and remained constant thereafter. Thus, significant gender differences in ferritin exist from the age of 14 years. High levels of SF were associated with obesity, and lower SF levels were associated with anemia and menarche status.

Conclusion

We established reference values of SF and TSAT according to age and gender. The reference values for SF calculated in this study can be used to test the association between SF values and other defined diseases in Korean children and adolescents.

Lipoprotein (a) as a Predictor of Early Stroke Recurrence in Acute Ischemic Stroke

Inflammation plays a crucial role in the pathogenesis of stroke. This study aims to determine lipoprotein (a) [Lp(a)] levels in serum and to investigate their associations with stroke recurrence events in a 3-month follow-up study in patients with acute ischemic stroke (AIS). Serum Lp(a) levels were determined in 203 ischemic stroke patients and 120 normal controls at admission. The severity and clinical outcome of ischemic stroke patients were evaluated by the National Institutes of Health Stroke Scale (NIHSS). We followed the participants for a median of 3 months using a standard questionnaire to determine the stroke recurrence events. The correlation analysis and multiple linear regression analysis were performed. Compared with controls, serum Lp(a) levels were significantly increased in ischemic stroke patients than in controls. NIHSS scores and infarct volume were positively correlated with Lp(a) (P < 0.001). Finally, 34 patients (16.7%; 95% CI, 11.6-21.9%) had a stroke recurrence. Serum Lp(a) levels in patients with recurrent stroke were significantly higher as compared with those in patients without recurrent stroke (P < 0.001). In multivariate analysis, there was an increased risk of stroke recurrence associated with Lp(a) levels ≥300 mg/l (OR, 2.87; 95% CI, 1.98-4.32; P = 0.009) after adjusting for possible confounders. With an AUC of 0.872 (95% CI, 0.816-0.927), Lp(a) showed a significantly greater discriminatory ability to predict stroke recurrence as compared with NIHSS score (AUC, 0.782; 95% CI, 0.704-0.859; P < 0.01). Our findings suggest that elevated serum Lp(a) levels can predict the risk of early stroke recurrence in patients with first-ever ischemic stroke. Further research is needed to replicate these findings.

Association of Elevated Serum Lipoprotein(a), Inflammation, Oxidative Stress and Chronic Kidney Disease with Hypertension in Non-diabetes Hypertensive Patients

Hypertension is the most common cardiovascular risk factor. Lipoprotein(a) [Lp(a)], inflammation, oxidative stress and chronic kidney disease (CKD) exacerbate the response to tissue injury and acts as markers of the vascular disease, especially in glomerulosclerosis. We compared the clinical characteristics of 138 non-diabetes hypertensive women (ndHT) patients with 417 non-diabetes normotensive subjects and tested the association of hypertension with Lp(a), inflammation, CKD and oxidative stress by using multiple logistic regression. BP, BMI, waist circumference, creatinine, Lp(a), inflammation and malondialdehyde levels were significantly higher and CKD state in the ndHT patients (p < 0.05). Multiple logistic regression showed hypertension associated with increased Lp(a), inflammation, ORs and 95 % CIs were 2.52 (1.33, 4.80), 2.75 (1.44, 5.27) after adjusting for their covariates. Elevated serum Lp(a) and inflammation levels concomitants with increased oxidative stress and CKD were the major risk factors associated with hypertension and implications for the increased risk of HT and vascular disease.

Advanced Age, High β-CTX Levels, and Impaired Renal Function are Independent Risk Factors for All-Cause One-Year Mortality in Hip Fracture Patients

Risk factors for increased mortality in hip fracture patients include older age, male sex, fracture type, bone mineral density, and pre-existing co-morbidities. The role of biochemical and other anthropometric parameters on hip fracture mortality remains unclear. The aim of this study was to identify the risk factors for one-year mortality in patients with hip fractures. A total of 236 consecutive patients (59 males) with hip fractures were followed over a one-year period. Patient age, gender, type of fracture, type of treatment, time from admission to surgery, type of anesthesia, body mass index, and electrocardiograms were recorded. Complete blood counts, serum electrolytes, urea, creatinine, d-dimers, calcium, phosphate, osteocalcin, and beta-isomerised C-terminal telopeptide of collagen type I (β-CTX) were measured at admission and estimated glomerular filtration rate (eGFR) was calculated. Multivariate Cox regression models were used to analyze the association of these parameters with survival. One-year mortality rate was 28.4%. Age was independently associated with mortality (HR 1.117, 95% CI 1.062-1.174, P < 0.001). In a multivariable model, mortality was increased in patients with higher β-CTX (HR 4.63 95% CI 1.87-11.45, P = 0.001) and lower eGFR (HR 0.972, 95% CI 0.956-0.987, P < 0.001). Patients younger than 84 years, with eGFR < 55.4 ml/min had ten times higher mortality rates (3.2 vs. 24.5%, HR 9.73, 95% CI 2.06-45.93) as well as those with β-CTX > 0.276 g/L (3.5 vs. 25.7%, HR 9.5, 95% CI 2.11-42.76). Advanced age, high β-CTX levels, and impaired renal function are independent risk factors of mortality in patients with hip fractures.

Metabolic syndrome increases oxidative stress but does not influence disability and short-time outcome in acute ischemic stroke patients

Oxidative stress has been implicated in the pathophysiology of cardiovascular disease and MetS and it may be one of molecular mechanisms involved in stroke. The aims of the present study were to verify differences in oxidative stress markers in acute ischemic stroke patients with and without MetS and to verify whether MetS influences disability and short time outcome of the patients. 148 patients with acute ischemic stroke were divided in two groups: with MetS (n = 92) and without MetS (n = 56). The modified Rankin Scale (mRS) was used for measuring the functional disability after 3-month follow-up. The study assessed the metabolic profile and oxidative stress markers. Stroke patients with MetS had higher levels of lipid hydroperoxides (p < 0.0001) and advanced oxidation protein products (AOPP, p = 0.0302) than those without MetS. Hydroperoxides were directly and independently associated with MetS (OR: 1.000, 95 % IC = 1.000-1.000, p = 0.005). Linear regression demonstrated that AOPP levels (R(2) = 0.281, p < 0.0001) and oxidative stress index (OSI, R(2) = 0.223, p < 0.0001) were directly associated with triglycerides levels and hydroperoxides levels was also directly associated with glucose levels (R(2) = 0.080, p = 0.013. The mRS and short-come outcome did not differ after 3 months in both groups. In conclusion, an increase in oxidative stress markers was shown in acute ischemic stroke patients with MetS and this elevation seems to be involved mainly with changes in lipid profile, but the presence of MetS did not influence short-time disability and survival of the acute ischemic stroke patients.

Lipoprotein (a) as a risk factor for ischemic stroke: a meta-analysis

OBJECTIVE

Lipoprotein (a) [Lp(a)] harbors atherogenic potential but its role as a risk factor for ischemic stroke remains controversial. We conducted a meta-analysis to determine the relative strength of the association between Lp(a) and ischemic stroke and identify potential subgroup-specific risk differences.

METHODS

A systematic search using the MeSH terms "lipoproteins" OR "lipoprotein a" AND "stroke" was performed in PubMed and ScienceDirect for case-control studies from June 2006 and prospective cohort studies from April 2009 until December 20th 2014. Data from eligible papers published before these dates were reviewed and extracted from previous meta-analyses. Studies that assessed the relationship between Lp(a) levels and ischemic stroke and reported generic data-i.e. odds ratio [OR], hazard ratio, or risk ratio [RR]-were eligible for inclusion. Studies that not distinguish between ischemic and hemorrhagic stroke and transient ischemic attack were excluded. Random effects meta-analyses with mixed-effects meta-regression were performed by pooling adjusted OR or RR.

RESULTS

A total of 20 articles comprising 90,904 subjects and 5029 stroke events were eligible for the meta-analysis. Comparing high with low Lp(a) levels, the pooled estimated OR was 1.41 (95% CI, 1.26-1.57) for case-control studies (n = 11) and the pooled estimated RR was 1.29 (95% CI, 1.06-1.58) for prospective studies (n = 9). Sex-specific differences in RR were inconsistent between case-control and prospective studies. Study populations with a mean age of ≤55 years had an increased RR compared to older study populations. Reported Lp(a) contrast levels and ischemic stroke subtype significantly contributed to the heterogeneity observed in the analyses.

CONCLUSION

Elevated Lp(a) is an independent risk factor for ischemic stroke and may be especially relevant for young stroke patients. Sex-specific risk differences remain conflicting. Further studies in these subgroups may be warranted.

Prognostic value of serum lipoprotein(a) levels in patients with acute ischemic stroke

Inflammation plays a crucial role in the pathogenesis and prognosis of stroke. This study aims to investigate the relationship between acute ischemic stroke (AIS) and lipoprotein(a) [Lp(a)] levels and to determine the prognosis value of Lp(a) to predict the functional outcome. A total of 153 patients with AIS and 120 controls were included in the study. Serum Lp(a) levels were examined in both groups. Severity of the stroke was assessed using the National Institutes of Health Stroke Scale. The modified Rankin Scale scores at discharge were determined to establish the prognosis of stroke patients. The prognostic value of Lp(a) to predict the functional outcome within the time of discharge was analyzed by logistic regression analysis, after adjusting for the possible confounders. The results indicated that the serum Lp(a) levels were significantly higher in AIS patients as compared with normal controls [303 {interquartile range (IQR) 170-529 mg/l} and 144 (IQR 66-252 mg/l), respectively; P=0.000]. In the 52 patients with an unfavorable functional outcome, serum Lp(a) levels were higher compared with those in patients with a favorable outcome [213 (IQR 143-347 mg/l) and 559 (IQR 357-845 mg/l), respectively; P=0.000]. In multivariate analysis, there was an increased risk of unfavorable outcome associated with Lp(a) levels 300 mg/l or more (odds ratio 3.12; 95% confidence interval 1.55-5.28; P=0.001) after adjusting for possible confounders. Serum Lp(a) can be considered as an independent short-term prognostic marker of functional outcome in Chinese patients with AIS even after correcting for possible confounding factors.