Association between clinician reported outcome and patient reported outcome measures one year after stroke.

OBJECTIVES: Patient reported outcome measures (PROM) are increasingly important in the evaluation of care. In this study we evaluate patient PROM in stroke patients and the association with clinical reported outcomes. MATERIALS AND METHODS: Of 3706 first-ever stroke patients, 1861 were discharged home and invited to fill out PROM at discharge, 90 days and one-year after stroke. PROM include mental and physical health and patients' self-reported functionals status, all available via International Consortium for Health Outcomes Measurement. Clinician reported measures as NIHSS, Barthel index were collected during hospital admission and modified Rankin Scale (mRS) 90 days after stroke. PROM compliance was evaluated. Clinician reported measures were related to PROM. RESULTS: 844 (45%) of the invited stroke patients filled out PROM. In general, those patients were younger and less severely affected (higher Barthel index and lower mRS). Compliance after enrolment is about 75%. Barthel index and mRS correlated with all PROM at 90 days and one-year. In age and gender adjusted multiple regression analysis, mRS was a consistent predictor for all PROM subsets, and Barthel index holds predictive value for physical health and patients' self-reported functional status. CONCLUSIONS: Participation rate to fill out PROM is only 45% among stroke patients who were discharged home, and compliance rate is around 75% up one-year follow-up. PROM associated with the clinician reported functional outcome measures Barthel index, and mRS score. Low mRS score is a consistent predictor of better PROM at one year. We propose to use mRS in stroke care evaluation, until PROM participation improves.

MRI factors associated with cognitive functioning after acute onset brain injury: Systematic review and meta-analysis.

Impairments of memory, attention, and executive functioning are frequently reported after acute onset brain injury. MRI markers hold potential to contribute to identification of patients at risk for cognitive impairments and clarification of mechanisms. The aim of this systematic review was to summarize and value the evidence on MRI markers of memory, attention, and executive functioning after acute onset brain injury. We included ninety-eight studies, on six classes of MRI factors (location and severity of damage (n = 15), volume/atrophy (n = 36), signs of small vessel disease (n = 15), diffusion-weighted imaging measures (n = 36), resting-state functional MRI measures (n = 13), and arterial spin labeling measures (n = 1)). Three measures showed consistent results regarding their association with cognition. Smaller hippocampal volume was associated with worse memory in fourteen studies (pooled correlation 0.58 [95% CI: 0.46-0.68] for whole, 0.11 [95% CI: 0.04-0.19] for left, and 0.34 [95% CI: 0.17-0.49] for right hippocampus). Lower fractional anisotropy in cingulum and fornix was associated with worse memory in six and five studies (pooled correlation 0.20 [95% CI: 0.08-0.32] and 0.29 [95% CI: 0.20-0.37], respectively). Lower functional connectivity within the default-mode network was associated with worse cognition in four studies. In conclusion, hippocampal volume, fractional anisotropy in cingulum and fornix, and functional connectivity within the default-mode network showed consistent associations with cognitive performance in all types of acute onset brain injury. External validation and cut off values for predicting cognitive impairments are needed for clinical implementation.

Predicting Long-Term Cognitive Impairments in Survivors after Cardiac Arrest: A Systematic Review.

OBJECTIVE: International guidelines recommend early screening for identification of patients who are at risk of long-term cognitive impairments after cardiac arrest. However, information about predictors is not provided. A systematic review of the literature was performed to identify early predictors of long-term cognitive outcome after cardiac arrest. METHODS: Scopus and PubMed were systematically searched to identify studies on early predictors of long-term cognitive outcome in patients after cardiac arrest. The population included adult cardiac arrest survivors and potential early predictors were demographics, early cognitive screening scores, imaging measures, electroencephalographic measures, and levels of blood biomarkers. Two investigators reviewed studies for relevance, extracted data and assessed risk of bias. RESULTS: Five articles were included. Risk of bias was assessed as low or moderate. Most detected longterm cognitive impairments were in the domain of memory. Coma duration (2 studies), early cognitive impairments by the self-developed clinical Bedside Neuropsychological Test Battery (BNTB) screener (2 studies), and high S-100B levels on day 3 (2 studies) were the most prominent identified determinants of cognitive impairment on the group level. On the individual patient level, a score on the BNTB of ≤ 94.5 predicted cognitive impairments at 6 months after cardiac arrest (1 study without external validation). Studies on brain imaging and electroencephalography are lacking. CONCLUSION: Early bedside cognitive screening can contribute to prediction of long-term cognitive impairment after cardiac arrest. Evidence is scarce for S-100B levels and coma duration and absent for measures derived from brain imaging and electroencephalography.

Relevance of Somatosensory Evoked Potential Amplitude After Cardiac Arrest.

Objective: We present relations of SSEP amplitude with neurological outcome and of SSEP amplitude with EEG amplitude in comatose patients after cardiac arrest. Methods: This is a post hoc analysis of a prospective cohort study in comatose patients after cardiac arrest. Amplitude of SSEP recordings obtained within 48-72 h, and EEG patterns obtained at 12 and 24h after cardiac arrest were related to good (CPC 1-2) or poor (CPC 3-5) outcome at 6 months. In 39% of the study population multiple SSEP measurements were performed. Additionally, SSEP amplitude was related to mean EEG amplitude. Results: We included 138 patients (77% poor outcome). Absent SSEP responses, a N20 amplitude <0.4 µV within 48-72 h, and suppressed or synchronous EEG with suppressed background at 12 or 24 h after cardiac arrest were invariably associated with a poor outcome. Combined, these tests reached a sensitivity for prediction of poor outcome up to 58 at 100% specificity. N20 amplitude increased with a mean of 0.55 µV per day in patients with a poor outcome, and remained stable with a good outcome. There was no statistically significant correlation between SSEP and EEG amplitudes in 182 combined SSEP and EEG measurements (R 2 < 0.01). Conclusions: N20 amplitude <0.4 µV is invariably associated with poor outcome. There is no correlation between SSEP and EEG amplitude. Significance: SSEP amplitude analysis may contribute to outcome prediction after cardiac arrest.

Association between somatosensory evoked potentials and EEG in comatose patients after cardiac arrest.

OBJECTIVE: To analyze the association between SSEP results and EEG results in comatose patients after cardiac arrest, including the added value of repeated SSEP measurements. METHODS: Continuous EEG was measured in 619 patients during the first 3-5 days after cardiac arrest. SSEPs were recorded daily in the first 55 patients, and on indication in later patients. EEGs were visually classified at 12, 24, 48, and 72 h after cardiac arrest, and at the time of SSEP. Outcome at 6 m was dichotomized as good (Cerebral Performance Category 1-2) or poor (CPC 3-5). SSEP and EEG results were related to outcome. Additionally, SSEP results were related to the EEG patterns at the time of SSEP. RESULTS: Absent SSEP responses and suppressed or synchronous EEG on suppressed background ≥24 h after cardiac arrest were invariably associated with poor outcome. SSEP and EEG identified different patients with poor outcome (joint sensitivity 39% at specificity 100%). N20 responses were always preserved in continuous traces at >8 Hz. Absent SSEPs did not re-emerge during the first five days. CONCLUSIONS: SSEP and EEG results may diverge after cardiac arrest. SIGNIFICANCE: SSEP and EEG together identify more patients without chance of recovery than one of these alone.