Evaluating the performance of the PRISMA-7 frailty criteria for predicting disability and death after acute ischemic stroke

Association between pre-stroke frailty status and stroke risk and impact on outcomes: a systematic review and meta-analysis of 1,660,328 participants

The prevalence of frailty is increasing, and it is associated with increased risk of diseases and adverse outcomes. Although substantial research has focused on post-stroke frailty, understanding of pre-stroke frailty remains limited. Our aim was to synthesize literature on pre-stroke frailty and stroke risk to explore their relationship and impact on prognosis. A systematic search of multiple databases was conducted to identify cohort studies published until October 28, 2023. Meta-analysis was conducted using a random effects model. Heterogeneity was assessed with the I² statistic, and publication bias was evaluated using Begg's test. Finally, we included 11 studies (n = 1,660,328 participants). The pooled hazard ratios (HRs) for stroke risk associated with pre-stroke frailty compared to non-frail individuals was 1.72 (95% confidence interval, CI: 1.46-2.02, p = 0.002, I2 = 69.2%, Begg's test: p = 0.536). The pooled HRs for mortality and the pooled relative risk (RRs) modified Rankin Scale (mRs) associated with pre-stroke frailty were 1.68 (95% CI: 1.10-2.56, p = 0.136, I2 = 49.9%, Begg's test: p = 0.296) and 3.11 (95% CI: 1.77-5.46, p = 0.192, I2 = 39.4%, Begg's test: p = 1.000), respectively. In conclusion, pre-stroke frailty is strongly associated with stroke risk and impacts its prognosis, irrespective of the measurement method. Future research should focus on prospective studies to assess the effects of early intervention for frailty. This has significant implications for primary healthcare services and frailty management.

Role of frailty in predicting outcomes after stroke: a systematic review and meta-analysis

Background

Stroke is considered the second most common cause of death and the third leading cause of disability worldwide. Frailty, characterized by increased vulnerability to stressors, is emerging as a key factor affecting outcomes in older adults and stroke patients. This study aimed to estimate the prevalence of frailty in acute stroke patients and assess its association with mortality and poor functional outcome.

Methods

Medline, Google Scholar, and Science Direct databases were systematically searched for English-language studies that included adult stroke patients (>16 years), have defined frailty, and reported mortality and functional outcomes. Meta-analysis was done using STATA 14.2, and the results were expressed as pooled odds ratios (OR) with 95% confidence intervals (CI). Heterogeneity was assessed using the I2 statistic and the Chi-square test. Study quality was evaluated using the Newcastle Ottawa Scale (NOS).

Results

Twenty-five studies were included in the analysis. Frailty prevalence in stroke patients was 23% (95% CI 22% - 23%). Unadjusted analysis showed an OR of 2.66 (95% CI: 1.93 - 3.67) for mortality and 2.04 (95% CI: 1.49 - 2.80) for poor functional outcome. Adjusted estimates indicated an OR of 1.22 (95% CI: 1.1 - 1.35) for mortality and 1.21 (95% CI: 1.04 - 1.41) for poor functional outcome, with substantial heterogeneity for both adjusted and unadjusted analyses. No publication bias was detected for the prevalence of frailty. However, there was a publication bias for the association between frailty and mortality.

Conclusions

Frailty was significantly associated with increased mortality and poorer functional outcomes in stroke patients. Our study highlights the need to focus on frailty in stroke patients to improve outcomes and quality of life. Further research should aim to standardize assessment of frailty and reduce heterogeneity in study outcomes.

Systematic review registration

https://www.crd.york.ac.uk/prospero/#searchadvanced, CRD42023470325.

The impact of frailty on short-term prognosis in discharged adult stroke patients: A multicenter prospective cohort study

BACKGROUND

Frailty is commonly observed in stroke patients and it is associated with adverse outcomes. However, there remains a gap in longitudinal studies investigating the causal relationship between baseline frailty and short-term prognosis in discharged adult stroke patients.

OBJECTIVE

To examine the causal impact of frailty on non-elective readmission and major adverse cardiac and cerebral events, and investigate its associations with cognitive impairment and post-stroke disability.

DESIGN

A multicenter prospective cohort study.

SETTING

Two tertiary hospitals in Central and Northwest China.

PARTICIPANTS

667 adult stroke patients in stroke units were included from January 2022 to June 2022.

METHODS

Baseline frailty was assessed by the Frailty Scale. Custom-designed questions were utilized to assess non-elective readmission and major adverse cardiac and cerebral events as primary outcomes. Cognitive impairment, assessed using the Mini-Mental State Examination Scale (MMSE), and post-stroke disability, measured with the Modified Rankin Scale (mRS), were considered secondary outcomes at a 3-month follow-up. The impact of baseline frailty on non-elective readmission and major adverse cardiac and cerebral events was examined using bivariate and multiple Cox regression analyses. Furthermore, associations between baseline frailty and cognitive impairment, or post-stroke disability, were investigated through generalized linear models.

RESULTS

A total of 5 participants died, 12 had major adverse cardiac and cerebral events, and 57 had non-selective readmission among 667 adult stroke patients. Frailty was an independent risk factor for non-selective readmission (hazard ratio [HR]: 2.71, 95 % confidence interval [CI]: 1.59, 4.62) and major adverse cardiac and cerebral events (HR: 3.77, 95 % CI: 1.07, 13.22) for stroke patients. Baseline frailty was correlated with cognitive impairment (regression coefficient [β]: -2.68, 95 % CI: -3.78, -1.58) adjusting for socio-demographic and clinical factors and follow-up interval. However, the relationship between frailty and cognitive impairment did not reach statistical significance when further adjusting for baseline MMSE (β: -0.39, 95 % CI: -1.43, 0.64). Moreover, baseline frailty was associated with post-stroke disability (β: 0.36, 95 % CI: 0.08, 0.65) adjusting for socio-demographic and clinical variables, follow-up interval, and baseline mRS.

CONCLUSIONS

The finding highlights the importance of assessing baseline frailty in discharged adult stroke patients, as it is significantly associated with non-elective readmission, major adverse cardiac and cerebral events, and post-stroke disability at 3 months. These results highlight the crucial role of screening and evaluating frailty status in improving short-term prognosis for adult stroke patients. Interventions should be developed to address baseline frailty and mitigate the short-term prognosis of stroke.

TWEETABLE ABSTRACT

Baseline frailty predicts non-elective readmission, major adverse cardiac and cerebral events, and post-stroke disability in adult stroke patients. @haiyanhexyyy.

To what extent does frailty mediate the association between age and the outcomes of brain reperfusion following acute ischemic stroke?

OBJECTIVE

We evaluated the extent to which frailty mediated the association between age, poor functional outcomes, and mortality after acute ischemic stroke when patients were treated with brain reperfusion (thrombolytic therapy and/or thrombectomy).

MATERIALS AND METHODS

This retrospective cohort study included patients diagnosed with ischemic stroke who had undergone intravenous cerebral reperfusion therapy and/or mechanical thrombectomy. We created a mediation model by analyzing the direct natural effect of an mRS score > 2 and death on age-mediated frailty according to the Frailty Index.

RESULTS

We enrolled 292 patients with acute ischemic stroke who underwent brain reperfusion. Their mean age was 67.7 ± 13.1 years. Ninety days after the stroke ictus, 54 (18.5%) participants died, and 83 (28.4%) lived with moderate to severe disability (2 < mRS < 6). In the mediation analysis of the composite outcome of disability (mRS score > 2) or death, frailty accounted for 28% of the total effect of age. The models used to test for the interaction between age and frailty did not show statistically significant interactions for either outcome, and the addition of the interaction did not significantly change the direct or indirect effects, nor did it improve model fit.

CONCLUSION

Frailty mediated almost one-third of the effect of age on the composite outcome of disability or death after acute ischemic stroke.

Predictive Value of PRISMA-7, qSOFA, ESI, and CFS for 28-Day Mortality in Elderly Patients in the Emergency Department

Background

To explore the predictive value of the Programme on Research for Integrating Services for the Maintenance of Autonomy 7 (PRISMA-7), quick Sequential Organ Failure Assessment (qSOFA) score, Emergency Severity Index (ESI), and Clinical Frailty Scale (CFS) on the 28-day mortality risk in emergency elderly patients.

Methods

A multicenter prospective observational study was conducted to select elderly patients (≥65 years old) admitted to the emergency department of three Grade-A hospitals in different regions of China from January 2020 to March 2022. Primary data were collected at the time of admission. All patients were followed up for 28 days. The primary outcome was 28-day mortality. The predictive value of four scoring systems for 28-day mortality in elderly emergency patients was assessed by receiver operating characteristic (ROC) and logistic regression analysis.

Results

A total of 687 elderly emergency patients were enrolled, of whom 66 (9.61%) died within 28 days. Age, ICU admission rate, PRISMA-7, qSOFA, and CFS were significantly higher in the death group than in the survival group (P < 0.05), and ESI was lower than in the survival group (P < 0.001). The AUC for CFS was the largest of the four scoring systems at 0.80. According to the Youden index, the optimal cutoff values for PRISMA-7, qSOFA, ESI, and CFS were >3.5, >0.5, <2.5, and >4.5, respectively. Logistic regression revealed that qSOFA and CFS were the primary risk factors for increased 28-day mortality in elderly emergency patients (P < 0.001). The combined predictor L (L=X1+0.50X2, X1 and X2 are qSOFA and CFS values, respectively) had an AUC of 0.86 and a cutoff value >2.75.

Conclusion

PRISMA-7, qSOFA, ESI, CFS, and the combined qSOFA+CFS predictor were all effective predictors of 28-day mortality risk in elderly emergency patients, with the combined qSOFA+CFS predictor having the best predictive power.