Optimising outcome assessment to improve quality and efficiency of stroke trials

The Predictive Value of Atherogenic Index of Plasma, Non- High Density Lipoprotein Cholesterol (Non-HDL-C), Non-HDL-C/HDL-C, and Lipoprotein Combine Index for Stroke Incidence and Prognosis in Maintenance Hemodialysis Patients

Purpose

The serum lipid level is strongly associated with atherosclerosis. However, research on the relationship between lipid-derived indices and acute ischemic stroke (AIS) occurrence in hemodialysis populations is limited. This study aimed to explore the predictive value of lipid-derived indices, including atherogenic index of plasma (AIP), Non- high density lipoprotein cholesterol (Non-HDL-C), Non-HDL-C/HDL-C, and lipoprotein combine index (LCI) in clinical practice for the occurrence and prognosis of AIS in hemodialysis patients.

Methods

A total of 451 patients undergoing maintenance hemodialysis were screened and 350 were enrolled in this study. The lipid parameters exhibit a progressive increase across the tertiles, with values rising from Q1 through Q3. Enrolled patients were divided into three groups (Q1, Q2, and Q3) based on tertiles of AIP, Non-HDL-C, Non-HDL-C/HDL-C, and LCI values. Kaplan-Meier curves were performed to investigate the association between the AIP, Non-HDL-C, Non-HDL-C/HDL-C, LCI and AIS-free survival in hemodialysis patients. Chi-square analysis was used to explore the association between the AIP, Non-HDL-C, Non-HDL-C/HDL-C, LCI and AIS outcomes in hemodialysis patients. AIS outcomes were assessed using the modified Rankin Scale (mRS).

Results

Kaplan-Meier analysis revealed that the AIS-free survival rates were significantly higher in the Q1 group compared to Q2 and Q3 groups for AIP, Non-HDL-C, Non-HDL-C/HDL-C, and LCI. Log rank tests showed statistically significant differences between the Q1 group and the Q2 and Q3 groups (p < 0.05 for all). The proportion of patients with a good outcome mRS was higher in the Q1 group compared to the Q2-Q3 groups (AIP: 0.818 vs 0.792; Non- HDL-C: 0.866 vs 0.767; Non- HDL-C/HDL-C: 0.867 vs 0.767; LCI: 0.938 vs 0.750).

Conclusion

The four lipid-derived parameters are effective predictors of AIS in patients undergoing hemodialysis, and AIP has a strongest correlation with the risk of AIS. Hemodialysis patients with elevated levels of the four lipid-derived indices had a higher incidence of AIS and poorer functional outcomes compared to those with lower levels. Our conclusions may require confirmation by further research in the future.

Mean Platelet Volume/Platelet Count Ratio as a Predictor of Both Incidence and Prognosis of Acute Ischemic Stroke in Hemodialysis Patients

Purpose

This study aimed to explore whether the mean platelet volume/platelet count ratio (MPR) has predictive value for the occurrence and prognosis of acute ischemic stroke (AIS) in hemodialysis patients.

Patients and Methods

A total of 402 patients undergoing maintenance hemodialysis were screened and 259 were enrolled in this study. The receiver operating characteristic curve and area under the curve (AUC) were used to evaluate the predictive power of the models. The patients enrolled in this study were divided into three groups based on the tertiles of the MPR value (Q1, Q2, and Q3). Kaplan-Meier curves were used to investigate the association between the MPR and AIS-free survival in hemodialysis patients. Chi-square analysis was performed to explore the association between the MPR and AIS outcomes in hemodialysis patients. And the AIS outcome was assessed using the modified Rankin Scale (mRS).

Results

MPR had a predictive value for the occurrence of AIS (AUC=0.814) in hemodialysis patients with a high sensitivity and specificity. AIS-free survival rates in the MPR Q1, MPR Q2, and MPR Q3 groups were 0.930, 0.701, and 0.360, respectively. The proportion of patients with good outcomes (mRS 0-2) was significantly greater among patients in the MPR Q1-Q2 group than in the MPR Q3 group (0.844 vs 0.745, p <0.001).

Conclusion

The MPR can be used as a good predictor of AIS in patients undergoing hemodialysis. Patients on hemodialysis with increased MPR levels had a higher incidence of AIS and poorer functional outcomes than those with low MPR levels.

Early versus late tracheostomy in stroke-related patients: A systematic review and meta-analysis

BACKGROUND

Tracheostomy is an operative intervention for patients who require ventilator assistance while in the intensive care unit (ICU). This study aimed to compare efficacy and safety between early tracheostomy (ET) and late tracheostomy (LT) in stroke patients.

METHODS

Embase, PubMed, and the Cochrane Library were searched for available studies. Stroke-related patients were categorized into ET and LT groups using seven days as the cutoff timepoint. The primary efficacy outcome was mortality; secondary efficacy outcomes were modified Rankin Scores (mRS) obtained at follow up, as well as durations of hospital stay, ICU stay, and ventilator use. Safety outcomes were total complication and ventilator associated pneumonia (VAP) incidence.

RESULTS

Nine studies with 3,789 patients were included in the current analysis. No statistical difference in mortality was observed. ET was associated with shorter hospital stay (MD -5.72, 95% CI -9.76 to -1.67), shorter ICU stay (MD -4.77, 95% CI -6.82 to -2.72), and shorter ventilator duration (MD -4.65, 95% CI -8.39 to -0.90); however, no statistically significant difference was found in follow-up mRS scores. Examination of safety measures found the ET group exhibited a lower rate of VAP compared with LT (OR 0.80, 95 % CI 0.68 to 0.93), while no statistical difference was found in total complications.

CONCLUSION

Our meta-analysis concluded that ET was associated with shorter hospital stay, less time on a ventilator, and lower incidence of VAP. Future studies are warranted to investigate the functional outcomes and the occurrence of complications of ET in stroke patients.

Validation of the Simplified Modified Rankin Scale Questionnaire

INTRODUCTION

The modified Rankin scale (mRS) is the most common assessment tool for measuring overall functional outcome in stroke studies. The traditional way of using mRS face-to-face is time- and cost-consuming. The aim of this study was to test the validity of the Swedish translation of the simplified modified Rankin scale questionnaire (smRSq) as compared with the mRS assessed face-to-face 6 months after a stroke.

METHODS

Within the ongoing EFFECTS trial, smRSq was sent out to 108 consecutive stroke patients 6 months after a stroke. The majority, 90% (97/108), of the patients answered the questionnaire; for the remaining 10%, it was answered by the next of kin. The patients were assessed by face-to-face mRS by 7 certified healthcare professionals at 4 Swedish stroke centres. The primary outcome was assessed by Cohen's kappa and weighted kappa.

RESULTS

There was good agreement between postal smRSq, answered by the patients, and the mRS face-to-face; Cohen's kappa was 0.43 (CI 95% 0.31-0.55), weighted kappa was 0.64 (CI 95% 0.55-0.73), and Spearman rank correlation was 0.82 (p < 0.0001). In 55% (59/108), there was full agreement, and of the 49 patients not showing exact agreement, 44 patients differed by 1 grade and 5 patients had a difference of 2 grades.

DISCUSSION/CONCLUSION

Our results show good validity of the postal smRSq, answered by the patients, compared with the mRS carried out face-to-face at 6 months after a stroke. This result could help trialists in the future simplify study design and make multicentre trials and quality registers with a large number of patients more feasible and time-saving.

Use of l-3-n-Butylphthalide within 24 h after intravenous thrombolysis for acute cerebral infarction

OBJECTIVE

Observe the clinical efficacy of l-3-n-Butylphthalide (NBP) in acute ischemic stroke (AIS) patients within 24 h after intravenous thrombolysis using recombinant tissue plasminogen activator (hereafter termed "IT").

METHODS

One-hundred and seventy-eight patients with AIS were divided randomly into two groups: NBP and control. The former was given a NBP injection within 24 h after IT. After intravenous injection of NBP for 8-10 days, patients switched to soft capsules of NBP before or during meals. NBP treatment was continued for ≥30 days after hospital discharge. In the control group, NBP was not injected within 24 h after IT, and NBP capsules were not given after 8-10 days. Both groups were reviewed for CT or MRI 24 h after IT. The National Institutes of Health Stroke Scale (NIHSS) score was calculated. The number of patients with a modified Rankin scale (mRS) 0-2 before, 24 h, and 90 days after IT was documented. Prevalence of cerebral hemorrhage and reocclusion of blood vessels after IT was calculated.

RESULTS

There were no differences in sex, age, blood pressure, blood glucose, or cerebral-infarction types between the two groups before treatment. The NIHSS score 24 h after IT and the percentage of mRS scores 0-2 were not significantly different between the two groups. Compared with the control group, the NIHSS score in the NBP group was significantly improved at 90 days, and the number of patients with a mRS score 0-2 increased significantly. There was no significant difference in hemorrhage prevalence after IT between the two groups. Prevalence of blood-vessel occlusion after IT was significantly lower in the NBP group than that in the control group.

CONCLUSION

Use of NBP within 24 h after IT can reduce the prevalence of reocclusion of blood vessels without increasing the risk of cerebral hemorrhage.

Cell Therapy in Stroke-Cautious Steps Towards a Clinical Treatment

In the future, stroke patients may receive stem cell therapy as this has the potential to restore lost functions. However, the development of clinically deliverable therapy has been slower and more challenging than expected. Despite recommendations by STAIR and STEPS consortiums, there remain flaws in experimental studies such as lack of animals with comorbidities, inconsistent approaches to experimental design, and concurrent rehabilitation that might lead to a bias towards positive results. Clinical studies have typically been small, lacking control groups as well as often without clear biological hypotheses to guide patient selection. Furthermore, they have used a wide range of cell types, doses, and delivery methods, and outcome measures. Although some ongoing and recent trial programs offer hints that these obstacles are now being tackled, the Horizon2020 funded RESSTORE trial will be given as an example of inconsistent regulatory requirements and challenges in harmonized cell production, logistic, and clinical criteria in an international multicenter study. The PISCES trials highlight the complex issues around intracerebral cell transplantation. Therefore, a better understanding of translational challenges is expected to pave the way to more successful help for stroke patients.

How to Measure Recovery? Revisiting Concepts and Methods for Stroke Studies

In clinical trials, assessing efficacy is based on validated scales, and the primary endpoint is usually based on a single scale. The aim of the review is to revisit the concepts and methods to design and analyze studies focused on restoration, recovery and or compensation. These studies are becoming more frequent with the development of restorative medicine. After discussing the definitions of recovery, we address the concept of recovery as the regain of lost capabilities, when the patient reaches a new equilibrium. Recovery is a dynamic process which assessment includes information from initial and final status, their difference, the difference between the final status of the patient and normality, and the speed of restoration. Finally, recovery can be assessed either for a specific function (focal restoration) or for a more global restoration. A single scale is not able to assess all the facets of a skill or a function, therefore complementary information should be collected and analyzed simultaneously to be tested in a single analysis. We are suggesting that recovery should be considered as a latent variable and therefore cannot be measured in pure form. We are also suggesting to customize the data collection and analysis according to the characteristics of the subjects, the mechanisms of action and consequences of the intervention. Moreover, recovery trials should benefit from latent variable analysis methods. Structural equation modeling is likely the best candidate for this approach applicable in pre-clinical and clinical studies.