Association between temporal trajectories of inflammatory markers and prognosis in ischemic stroke

 'Associations' TELL YOU NOTHING ON HOW TO GET RECOVERED! You're all fired for incompetence in not creating inflammation prevention protocols!

Association between temporal trajectories of inflammatory markers and prognosis in ischemic stroke

• 

  Jing Xu 1

• X

  Xiaolan Wu 1

• X

  Xiaorong Lu 2

• S

  Shijun Li 1*

• 1. Department of Neurology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, China

• 2. Department of Patient Services Management, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, China

Abstract

Background: 

The post-stroke inflammatory response is a dynamic and heterogeneous process that cannot be fully captured by single time-point measurements. This study aimed to characterize the temporal trajectories of four inflammatory markers—neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI)—during the acute phase of ischemic stroke and to evaluate their associations with 3-month functional outcomes.

Methods: 

We retrospectively analyzed patients with acute ischemic stroke admitted within 24 h of onset at Dongyang People’s Hospital from January to December 2024. Complete blood counts collected within the first 7 days were used to construct latent class growth models. Model selection was based on Akaike Information Criterion, the Bayesian Information Criterion, entropy, average posterior probability, and minimum class size. Logistic regression was performed to examine associations between inflammatory trajectories and 3-month modified Rankin Scale outcomes.

Results: 

A total of 735 patients were included. Distinct inflammatory trajectories were identified for each marker: three classes for NLR (stable-low, rapid-increase, gradual-decrease), three for MLR (persistent-low, persistent-moderate, persistent-high), three for SII (stable-low, persistent-moderate, marked-decline with rapid-rebound), and four for SIRI (stable-low, gradual-increase, gradual-decrease, rapid-increase). Stable-low patterns constituted the majority across all markers. For NLR, the rapid-increase trajectory consistently predicted poor 3-month outcomes (Model 3: OR 3.492, 95% CI 1.514–10.265). For SIRI, both gradual-increase and rapid-increase trajectories were independently associated with poor prognosis (Model 3: OR 3.894, 95% CI 1.395–10.872; OR 4.264, 95% CI 1.201–15.136). In contrast, MLR and SII trajectories were not associated with functional outcomes after full adjustment.

Conclusion: 

Distinct temporal inflammatory trajectories are observed during the 1 week after ischemic stroke. Increasing trajectories of NLR and SIRI strongly predict poor 3-month outcomes. These findings underscore the clinical importance of monitoring early inflammatory evolution rather than relying on single measurements and provide a novel framework for prognostic assessment in ischemic stroke.

Impact of the triglyceride-glucose index on prognosis following endovascular therapy for acute ischemic stroke: effect modification by collateral circulation

 Prognosis DOES NOTHING to get survivors recovered! 
You need EXACT PROTOCOLS for that! When will you provide them?

You described an association but did NOTHING to solve the underlying problem of 100% recovery!  Until we get survivors in charge stroke research will continue to be useless for survivors. 

Impact of the triglyceride-glucose index on prognosis following endovascular therapy for acute ischemic stroke: effect modification by collateral circulation

• 

  Yishu Wang

• Q

  Qinyu Lei

• J

  Jiaqi Wang

• Y

  Yachao Lin

• L

  Liguo Xu *

• Department of Interventional Radiology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China

Abstract

Objective: 

To investigate the association between the triglyceride-glucose (TyG) index and 90-day functional outcome after endovascular therapy in patients with acute ischemic stroke, to evaluate the risk assessment performance of the TyG index combined with clinical variables, and to assess the effect-modifying role of collateral circulation in this association.

Methods: 

A retrospective analysis was conducted in 209 patients with acute ischemic stroke who underwent endovascular therapy at our hospital between October 2022 and December 2025. Multivariable logistic regression was performed to evaluate factors associated with poor functional outcome, defined as a modified Rankin Scale (mRS) score > 2 at 90 days. Interaction and stratified analyses were conducted to assess whether collateral circulation modified the association between the TyG index and clinical outcomes. Receiver operating characteristic (ROC) curves and the corresponding area under the curve (AUC) were used to evaluate the predictive performance of the TyG index combined with clinical variables. Differences in AUCs were compared using DeLong’s test. Calibration was assessed using the Hosmer-Lemeshow test, Brier score, and calibration curve, and internal validation was performed with 1,000 bootstrap resamples.

Results: 

A total of 209 patients were included, with 145 (69.4%) in the good functional outcome group (modified Rankin Scale [mRS] score≤2) and 64 (30.6%) in the poor functional outcome group (mRS > 2). Univariate analysis showed that the TyG index was significantly higher in the poor functional outcome group, and that sex, baseline National Institutes of Health Stroke Scale (NIHSS) score and collateral circulation status also differed significantly between the two groups (all p < 0.05). Multivariable logistic regression analysis showed that the TyG index was independently associated with poor functional outcome at 90 days after endovascular therapy (OR = 1.972, p < 0.001). A significant interaction was observed between the TyG index and collateral circulation (p = 0.012), suggesting a possible effect-modifying role of collateral circulation, and stratified analysis showed that this association appeared to be more pronounced in patients with poor collateral circulation. The combined risk assessment model showed good discriminative ability for poor functional outcome at 90 days (AUC = 0.834, sensitivity = 0.828, specificity = 0.731, DeLong’s test: p < 0.001), and the addition of the TyG index further improved the discriminative ability and assessment performance of the model.

Conclusion: 

The TyG index is an independent risk factor for poor 90-day functional outcome after endovascular therapy in patients with acute ischemic stroke. Collateral circulation may modify this association. The TyG index also improves the risk assessment performance of the combined risk model.

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Prediction of the functional outcome of intensive inpatient rehabilitation after stroke using machine learning methods

 Do you not understand, prognosis is completely useless for stroke survivors? It does nothing to get them recovered. There are a lot of mentors and senior researchers that need to be re-educated on the purpose of stroke research. The only goal in stroke is 100% recovery; not biomarkers, prediction, prognosis or other useless shit! I'd fire all of you for incompetence!

Prediction of the functional outcome of intensive inpatient rehabilitation after stroke using machine learning methods

• Silvia Campagnini,
• Alessandro Sodero,
• Marco Baccini,
• Bahia Hakiki,
• Antonello Grippo,
• Claudio Macchi,
• Andrea Mannini &
• Francesca Cecchi 

Scientific Reports volume 15, Article number: 16083 (2025) Cite this article

• 188 Accesses

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Abstract

An accurate and reliable functional prognosis is vital to stroke patients addressing rehabilitation, to their families, and healthcare providers(NO ITS NOT! PROGNOSIS DOES NOTHING FOR RECOVERY! ARE YOU THAT BLITHERINGLY STUPID?). This study aimed at developing and validating externally patient-wise prognostic models of the global functional outcome at discharge from intensive inpatient post-acute rehabilitation after stroke, based on a standardized comprehensive multidimensional assessment performed at admission to rehabilitation. Patients addressing intensive inpatient rehabilitation pathways within 30 days from stroke were prospectively enrolled in two consecutive multisite studies. Demographics, description of the event, clinical/functional, and psycho-social data were collected. The outcome of interest was disability in basic daily living activities at discharge, measured by the modified Barthel Index (mBI). Machine learning-based prognostic models were developed, internally cross-validated, and externally validated. Interpretability techniques were applied for the analysis of predictors. 385 patients were considered, 220 (165) for training (external test) sets. A 50.9% (55.8%) of women, 79.5% (80.0%) of ischemic, and a median [interquartile range- IQR] age of 80.0[15.0] (79.0[17.0]) were registered. The Support Vector Machine obtained the best validation performances and a median absolute error [IQR] on discharge mBI estimation of 11.5[15.0] and 9.2[13.0] points on the internal and external testing, respectively. The baseline variables providing the main contributions to the predictions were mBI, motor upper-limb score, age, and cognitive screening score. We achieved a solution to support the formulation of a functional prognosis at intensive rehabilitation admission. The interpretability analysis confirms the relevance of easily collected motor and cognitive dataat admission and of the patient’s age.

Trial registration: Prospectively registered on ClinicalTrials.gov (registration numbers RIPS NCT03866057, STRATEGY NCT05389878).

The relationship between the functional status of upper extremity motor neurons and motor function and prognosis in stroke patients

 NOTHING HERE HELPS STROKE RECOVERY! What the fuck was the research for? I'd have all of you fired! What we have for stroke leadership is so fucking bad that I really do hope comeuppance hits them all so they finally understand stroke survivor pain and frustration.

The relationship between the functional status of upper extremity motor neurons and motor function and prognosis in stroke patients

Xiaoyi Li¹Zhen Shao²Zhi Li¹Xiupan Wei¹Lijuan Zong¹Pei Wang¹Ting Zhou¹Hongxing Wang^1*

• ¹Department of Rehabilitation Medicine, Zhongda Hospital Southeast University, School of Medicine, Southeast University, Nanjing, China
• ²Department of Rehabilitation Medicine, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China

Introduction: This study investigates the correlation between neuroelectrop-hysiological assessments such as motor unit number estimation (MUNE) and F-waves with upper extremity motor function and one-year prognosis in stroke patients.

Methods: Neuroelectrophysiological assessments of the abductor pollicis brevis muscle, including MUNE and F-waves, were conducted. Upper extremity motor function was evaluated using the Fugl-Meyer Assessment of Upper Extremity (FMA-UE) and the Modified Ashworth Scale (MAS). Pearson correlation and multiple linear regression analyses were performed to explore the relationship between upper extremity motor function and variables such as MUNE and F-waves. ROC curve analysis assessed the predictive ability of MUNE and F-waves for upper extremity motor function, and binary logistic regression analysis examined factors related to motor function improvement 1 year post-discharge.

Results: A total of 130 patients were ultimately included. Significant differences in MUNE and occupancy rate of non-repeater F-waves (non-ORF) were found between hemiplegic and unaffected sides (p < 0.001), with a significant difference in F-wave mean latency (p < 0.05). Pearson correlation analysis showed a positive correlation between FMA-UE at admission and hemiplegic side’s MUNE and non-ORF (p < 0.001). Multiple linear regression indicated that hemiplegic side’s MUNE (β = 0.88, p < 0.001) and non-ORF (β = 0.275, p = 0.005) influenced FMA-UE. ROC analysis demonstrated higher predictive ability for hemiplegic side’s MUNE (AUC = 0.696, p < 0.001) than non-ORF (AUC = 0.622, p = 0.018). Binary logistic regression showed that hemiplegic side’s MUNE was associated with FMA-UE improvement 1 year post-discharge.

Conclusion: MUNE and F-waves are correlated with upper extremity motor function in patients, reflecting their motor function status. These indicators have good predictive value for motor function and are associated with the prognosis of upper extremity motor function to a certain extent.

Development and validation of a nomogram for cerebral hemorrhage in patients with carotid stenosis undergoing stenting: a multicenter retrospective study

Do you not understand, prediction is useless for stroke survivors? It does nothing to get them recovered. There are a lot of mentors and senior researchers that  need to be re-educated on the purpose of stroke research. The only goal in stroke is 100% recovery; not biomarkers, prediction, prognosis or other useless shit! 

Why are you stenting at all? Verify that the Circle of Willis is complete, close up the offending artery and you won't have to deal with all these complications!

My right carotid artery was closed for 10 years and I cognitively functioned quite well with no episodes of fainting.

 Here is why your doctor needs to guarantee NO complications from stenting!

• stenting (22 posts to May 2011)

• carotid stenting (21 posts to May 2016)

• carotid artery stenting (7 posts to November 2021)

 

A nomogram, also called a nomograph, alignment chart, or abac, is a graphical calculating device, a two-dimensional diagram designed to allow the approximate graphical computation of a mathematical function.

 

 Development and validation of a nomogram for cerebral hemorrhage in patients with carotid stenosis undergoing stenting: a multicenter retrospective study

1. Xianjun Zhang1,
2. Xiaoliang Wang2,
3. Teng Ma3,
4. http://orcid.org/0000-0002-3306-1892Wentao Gong4,
5. Yong Zhang1,
6. Naidong Wang1

1. Correspondence to Professor Naidong Wang; wangnaidong163@163.com; Professor Yong Zhang; bravezhang@126.com

Abstract

Background Hyperperfusion-induced cerebral hemorrhage (HICH) is a rare but severe complication in patients with carotid stenosis undergoing stent placement for which predictive models are lacking. Our objective was to develop a nomogram to predict such risk.

Methods We included a total of 1226 patients with carotid stenosis who underwent stenting between June 2015 and December 2022 from three medical centers, divided into a development cohort of 883 patients and a validation cohort of 343 patients. The model used LASSO regression for feature optimization and multivariable logistic regression to develop the predictive model. Model accuracy was assessed via the receiver operating characteristic curve, with further evaluation of calibration and clinical utility through calibration curves and decision curve analysis (DCA). The model underwent internal validation using bootstrapping and external validation with the validation cohort.

Results Older age (OR 1.07, p=0.005), higher degrees of carotid stenosis (OR 1.07, p=0.006), poor collateral circulation (OR 6.26, p<0.001), elevated preoperative triglyceride levels (OR 1.27, p=0.041) and neutrophil counts (OR 1.36, p<0.001) were identified as independent risk factors for HICH during hospitalization. The nomogram constructed based on these predictive factors demonstrated an area under the curve (AUC) of 0.817. The AUCs for internal and external validation were 0.809 and 0.783, respectively. Calibration curves indicated good model fit, and DCA confirmed substantial clinical net benefit in both cohorts.

Conclusion We developed and validated a nomogram to predict(NOT PREVENT!) HICH in patients with carotid stenosis post-stenting, facilitating early identification and preventive intervention in high-risk individuals.

Data availability statement

Data are available upon reasonable request. The data supporting the conclusions of this study are available from the corresponding author upon reasonable request at wangnaidong163@163.com.

https://doi.org/10.1136/jnis-2024-022022

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Nomogram to predict prognosis in patients with posterior circulation acute ischemic stroke after mechanical thrombectomy

 Do you not understand, prognosis is useless for stroke survivors? It does nothing to get them recovered. There are a lot of mentors and senior researchers that  need to be re-educated on the purpose of stroke research. The only goal in stroke is 100% recovery; not biomarkers, prediction, prognosis or other useless shit!

Nomogram to predict prognosis in patients with posterior circulation acute ischemic stroke after mechanical thrombectomy

Jiayang LiJin ZhangChangxin LiJun LiXupeng WuShaoshuai Wang^*

• Department of Neurology, First Hospital of Shanxi Medical University, Taiyuan, China

Purpose: This study aimed to investigate the risk factors of prognosis and hemorrhagic transformation after mechanical thrombectomy (MT) in patients with posterior circulation acute ischemic stroke (PC-AIS) caused by large vessel occlusion. We sought to develop a nomogram for predicting the risk of poor prognosis and symptomatic intracerebral hemorrhage (sICH) in patients with PC-AIS.

Methods: A retrospective analysis was conducted on 81 patients with PC-AIS who underwent MT treatment. We collected clinical information from the patients to assessed sICH and prognosis based on CT results and National Institutes of Health Stroke Scale (NIHSS) scores. Subsequently, they were followed up for 3 months, and their prognosis was assessed using the Modified Rankin Scale. We used the least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression to determine the factors affecting prognosis to construct a nomogram. The nomogram’s performance was assessed through receiver operating characteristic curves, calibration curves, decision curve analysis, and clinical impact curves.

Results: Among the 81 patients with PC-AIS, 33 had a good prognosis, 48 had a poor prognosis, 19 presented with sICH, and 62 did not present with sICH. The results of the LASSO regression indicated that variables, including HPT, baseline NIHSS score, peak SBP, SBP CV, SBP SD, peak SBP, DBP CV, HbA1c, and BG SD, were predictors of patient prognosis. Variables such as AF, peak SBP, and peak DBP predicted the risk of sICH. Multivariate logistic regression revealed that baseline NIHSS score (OR = 1.115, 95% CI 1.002–1.184), peak SBP (OR = 1.060, 95% CI 1.012–1.111), SBP CV (OR = 1.296, 95% CI 1.036–1.621) and HbA1c (OR = 3.139, 95% CI 1.491–6.609) were independent risk factors for prognosis. AF (OR = 6.823, 95% CI 1.606–28.993), peak SBP (OR = 1.058, 95% CI 1.013–1.105), and peak DBP (OR = 1.160, 95% CI 1.036–1.298) were associated with the risk of sICH. In the following step, nomograms were developed, demonstrating good discrimination, calibration, and clinical applicability.

Conclusion: We constructed nomograms to predict poor prognosis and risk of sICH in patients with PC-AIS undergoing MT. The model exhibited good discrimination, calibration, and clinical applicability.

1 Introduction

Acute ischemic stroke (AIS) is the leading cause of disability and mortality, posing a severe threat to human well-being (1). Research on the Chinese population reveals that, in 2020, there were 15.5 million cases of ischemic stroke among adults >40 years, with a prevalence rate of approximately 2.3/100 people (2). Over 30% of AIS cases result from large vessel occlusion (LVO) (3). LVO causes ischemia and hypoperfusion in the affected area, and timely restoration of perfusion to the ischemic area can maintain brain cell activity. Thrombolysis treatment by intravenous recombinant tissue plasminogen activator is accessible within a 4.5 h window from the onset of symptoms. However, it is not always feasible owing to missed time windows or contraindications. In recent years, mechanical thrombectomy (MT) development has provided new treatment options for patients with AIS. MT treatment is safe and effective for patients with anterior circulation AIS (AC-AIS), extending the treatment time to 6–24 h (4).

Compared with AC-AIS, posterior circulation AIS (PC-AIS) occurs in the vertebrobasilar system-supplied area, resulting in a worse prognosis (5). The early symptoms of PC-AIS are mild and unspecific, making identification challenging. Therefore, patients with PC-AIS have a lower rate of benefit from intravenous thrombolysis than those with anterior circulation AIS, with only 1/6 of patients benefiting from this treatment (6). It indicates that MT is an important treatment for patients with PC-AIS. However, the outcome of MT treatment in PC-AIS remains controversial, with significant differences observed in four randomized controlled trials (RCTs). In the BEST and BASIC studies, no significant difference was observed in prognostic outcomes between the MT and drug therapy alone groups.

In contrast, the BAOCHE and ATTENTION studies indicated a more favorable prognosis for patients who underwent MT treatment (7–10). Most patients with PC-AIS can achieve revascularization after MT treatment; however, only 38% experience a good prognosis (11). Therefore, exploring the factors influencing prognosis can help clinicians identify patients at high risk of poor prognosis and provide more timely interventions. There are fewer studies on the factors influencing the prognosis of PC-AIS patients undergoing MT treatment. A meta-analysis revealed that hypertension and diabetes were associated with poor prognosis (12). Gao et al.’s study identified baseline National Institutes of Health Stroke Scale (NIHSS) score, posterior circulation acute stroke prognosis early computed tomography (PC-ASPECT) score, and modified thrombolysis in cerebral infarction (mTICI) classification as independent risk factors affecting patients’ prognosis (13).

Notably, no study investigates the impact of post-operative medical management on the risk of patients’ prognosis, and predictive models for poor prognosis and sICH are yet to be constructed. This study addresses these gaps by investigating factors affecting the prognosis and sICH of patients with PC-AIS undergoing MT and constructs a nomogram applicable to clinical practice. We aimed to guide targeted clinical interventions to improve the management of patients with PC-AIS and enhance their post-treatment prognosis.

Correlation Between Intracranial Carotid Artery Calcification and Prognosis of Acute Ischemic Stroke After Intravenous Thrombolysis

 You described a problem but DID NOTHING to solve it. Useless. Do you not understand, prognosis is useless for stroke survivors. It does nothing to get them recovered. There are a lot of mentors and senior researchers that  need to be re-educated on the purpose of stroke research.

Correlation Between Intracranial Carotid Artery Calcification and Prognosis of Acute Ischemic Stroke After Intravenous Thrombolysis

Yuan Shen^1,2,3, Zhifeng Dong⁴, Gang Xu⁵, Jianguo Zhong¹, Pinglei Pan⁶, Zhipeng Chen¹ and Haicun Shi^1,2,3*

• ¹Department of Neurology, Yancheng Third People's Hospital, Yancheng, China
• ²Department of Neurology, The Yancheng School of Clinical Medicine of Nanjing Medical University, Yancheng, China
• ³The Sixth Affiliated Hospital of Nantong University, Nantong, China
• ⁴Department of Cardiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
• ⁵Department of Medical Imaging, Yancheng Third People's Hospital, Yancheng, China
• ⁶Department of Central Laboratory, Yancheng Third People's Hospital, Yancheng, China

Objective: To investigate the correlation between prognosis and intracranial carotid artery calcification (ICAC) in patients with acute ischemic stroke (AIS) who receive intravenous thrombolysis (IVT).

Methods: A total of 156 AIS patients who received IVT from March 2019 to March 2020 were enrolled. The modified Woodcock visual score was used to evaluate ICAC in nonenhanced head CT scans. Patients were divided into high calcification burden (HCB; score ≥3) and low calcification burden (LCB; score <3) groups. Demographic, laboratory, imaging and clinical data were compared between the two groups, and whether HCB was a prognostic factor was evaluated.

Results: Compared with the LCB group, the HCB group had a higher incidence of atrial fibrillation (49.2 vs.22.1%, P < 0.001) and coronary heart disease (24.6 vs. 10.0%, P = 0.019) and higher serum homocysteine [15.31 (12.15, 17.50) vs. 14.40 (11.20, 16.20), P = 0.036] and hemoglobin A1c (6.93 ± 1.77 vs. 6.37 ± 0.74, P = 0.023) levels. Binary logistic regression analysis showed that atrial fibrillation (OR = 3.031, 95% CI: 1.312–7.006, P = 0.009) and HbA1c (OR = 1.488, 95% CI: 1.050–2.109, P = 0.026) were independent risk factors for ICAC. After adjusting for other risk factors, symptomatic-side and bilateral ICACs were independent risk factors for poor prognosis (OR = 1.969, 95% CI: 1.220–3.178, P = 0.006), (OR = 1.354, 95% CI: 1.065–1.722, P = 0.013) and mortality (OR = 4.245, 95% CI: 1.114–16.171, P = 0.034), (OR = 2.414, 95% CI = 1.152–5.060, P = 0.020) in patients with AIS who received IVT.

Conclusion: ICAC is closely related to the prognosis of acute ischemic stroke after intravenous thrombolysis.

Introduction

Thrombolysis is known to improve outcomes following acute ischemic stroke. Intravenous thrombolysis using recombinant tissue-type plasminogen activator (rt-PA) is still considered the first line of treatment (1). However, the effect of thrombolysis is influenced by many factors.

Intracranial carotid artery calcification (ICAC) was first observed with radiographic pathology in the early 1960s (2). Later studies found that 69.4% of Chinese patients (3) and 82.2% of Dutch patients who were >55 years had ICAC on conventional head computed tomography (CT) (4). Vascular calcification is part of the atherosclerotic process and may indicates severe stenosis (5). Atherosclerotic calcification occurs in the form of hydroxyapatite deposits that resemble bone mineralization (6). The more advanced stages consist of calcified plaques. Confirmation of the coronary calcium score as a predictor of future cardiac events has spurred researchers' interest in ICAC. Recent clinical studies have demonstrated the risk factors for intracranial arterial calcification and its clinical significance (7). Studies have shown that intracranial vascular calcification is related to a higher risk of stroke independent of cardiovascular risk factors (8, 9). However, in contrast to the coronary vasculature, few studies have investigated the relationship between ICACs and the prognosis of patients with acute ischemic stroke (AIS) who receive intravenous thrombolysis (IVT) (10–13). And the conclusions of these studies are controversial. The question of whether atherosclerotic calcification might have distinct prognostic effects on stroke patients and therefore warrant specific treatment strategies still needs to be investigated.

In this context, we examined the relationship of the burden of ICAC with poor outcome, complications and mortality in patients treated with IVT for AIS. Studying the effect of ICAC on the prognosis of IVT in AIS may not only help to understand the relationship between ICAC and stroke, but also modify the acute management strategy, because ICAC information is usually available before treatment decision-making (13).

More at link.

 

Association between serum matrix metalloproteinase-9 and poor prognosis in acute ischemic stroke patients: The role of dyslipidemia

Well what the fuck are you going to do with this information to get survivors recovered? Prognosis is totally fucking useless to survivors.

Association between serum matrix metalloproteinase-9 and poor prognosis in acute ischemic stroke patients: The role of dyslipidemia

Zheng X, Zhong C, Zhu Z, et al

Nutrition, Metabolism & Cardiovascular Diseases|September 17, 2020

This is the first study investigating the prognostic impact of matrix metalloproteinase-9 (MMP-9) among ischemic stroke patients stratified by dyslipidemia status. MMP-9 levels were assessed for 2,977 patients with acute ischemic stroke from 26 participating hospitals across China, and clinical outcome results were collected within one year of the ischemic stroke. According to results, increased MMP-9 has been correlated with poor prognosis only in patients with dyslipidemia within one-year after stroke, indicating that the prognostic importance of MMP-9 is modified by dyslipidemia status of patients with ischaemic stroke.