Long-term clinical evolution of patients with prolonged disorders of consciousness due to severe anoxic brain injury: A meta-analytic study

Vegetative state in two Italian residential facilities: study of prognosis for subjects and related caregivers

BACKGROUND

Vegetative state (VS) is a severe disturbance of consciousness, often caused by cerebral insults, with limited long-term prognosis data.

STUDY OBJECTIVE

to provide a detailed picture of a cohort of patients treated at 2 long-term care facilities in Lombardy starting from 2014.

METHODS

Multicentric observational study. Subjects who met the diagnostic criteria for VS were admitted. A caregiver was identified for each patient and filled two questionnaires to evaluate quality of life (SF-36) and need for psychological support (FSQ-30).

RESULTS

The study included 146 patients (median age: 61.8 years at admission, 60.4 at the event that caused VS). Non-traumatic cerebral hemorrhage was the leading cause of VS (41%), followed by traumatic (19%) and anoxic brain injury (17%), and ischemic stroke (6.8%). The cumulative mortality was 10% at 1 year, 24% at 2 years, 43% at 5 years, 69% at 10 years, and 88% at 15 years after the event that caused VS, with age (HR 1.03) and ischemic stroke (HR 2.86) as risk factors. Among 24 caregivers, 50% had FSQ-30 score suggesting recommended psychological support (R area), 33% were in the SR area (strongly recommended), and 13% in the U area (urgent need). Females had worse FSQ-30 and SF-36 scores than males, particularly in the mental health index (median 60 vs. 74) and mental component scale (45.3 vs. 53.2).

CONCLUSIONS

Hemorrhages were found to be the most common cause of VS, differing from previous studies that identified trauma as the primary cause. Caregivers exhibited significant psychological distress.

Care pathways for individuals with post-anoxic disorder of consciousness (CaPIADoC): an inter-society Consensus Conference

BACKGROUND

Accurate recognition of consciousness level and detection of neurological complications since the intensive care unit are crucial for an appropriate prognostication and tailored treatment in patients with post-anoxic disorder of consciousness (DoC).

OBJECTIVE

The present inter-society Consensus Conference aimed at addressing current debates on diagnostic and prognostic procedures.

METHODS

Twelve working groups involving 22 multidisciplinary professionals (membership of 9 Scientific Societies and 2 patients' family Associations) conducted a systematic literature review focused on 12 questions addressing diagnosis (n = 5) and prognosis (n = 7). The quality of evidence of the included studies was evaluated using the Oxford Centre for Evidence-Based Medicine Levels of Evidence. A Jury involving Scientific Societies and patients' family Associations provided recommendations based on the evidence levels and expert opinion.

RESULTS

An overall number of 1,219 papers was screened, and 21 were included in the review. Working groups produced a report on strengths and limits of evidence for each question. The overall suggestion was to use a multimodal assessment combining validated clinical scales, neurophysiological exams, and neuroimaging in diagnostic and prognostic procedure, to guide personalized treatment. A strong recommendation was to use standardized terminologies and diagnostic criteria for ensuring homogeneity and appropriateness in patients management.

CONCLUSION

This multidisciplinary Consensus Conference provided the first operational recommendations for a good clinical practice procedure for patients with post-anoxic DoC. A periodic review will be necessary based on future evidence from the literature and implementation of the present recommendations.

[Recommendations for time-limited trial in neurocritical care]

Many acute brain disorders are associated with acute disorders of consciousness. In an emergency situation, life-saving measures are usually taken first and intensive care is initiated. If there is no significant improvement with recovery of consciousness in the first few days, very complex decision-making situations arise regularly. In neurointensive care, a time-limited therapy trial (TLT) is an important structuring element in treatment planning and communication, as a binding agreement between the treatment team and the patient or legal representative on a treatment concept for a defined period of time. Due to the prolonged neurological rehabilitation phase, the TLT in neurointensive care can also last weeks or months. This often requires interdepartmental communication (acute/rehabilitation/long-term care), re-evaluation and implementation in neurointensive care. The recommendations include the definition, empirical evidence and implementation suggestions for a TLT for critically ill neurointensive care patients.

Predictors of Recovering Full Consciousness: Results From a Prospective Multisite Italian Study

BACKGROUND

Improving prognostication in patients with a prolonged disorder of consciousness (pDoC) is among the most challenging issues in neurorehabilitation. The aim of this Italian multisite prospective longitudinal study was to identify valuable predictors of the complete recovery of consciousness (emergence from Minimally Conscious State, eMCS) at 3 months (T1) from the admission in intensive rehabilitation units (IRUs) in pDoC (T0).

METHODS

Patients with Unresponsive Wakefulness Syndrome (UWS) or MCS admitted within 3 months of injury to 4 Italian IRUs were included. Demographic, clinical, and neurophysiological data were collected at T0, and a clinical diagnosis of consciousness (UWS, MCS-, MCS+) was established at T0 and T1 using the Coma Recovery Scale-Revised (CRS-R).

RESULTS

One hundred forty-three patients were initially included and 131 completed follow-ups at T1: (76 males; median age: 69 years [IQR = 23]; VS/UWS: 51, MCS-: 29, MCS+: 51; etiology: 33 traumatic, 14 anoxic, 24 ischemic, 55 hemorrhagic, 5 other; median time post-injury: 40 days [IQR = 23]). At T1, 77 patients were eMCS, and 10 improved their clinical diagnosis. Among the clinical and neurophysiological independent variables, a higher CRS-R visual sub-score and the presence of EEG reactivity to eye opening at T0 were the best independent predictors of eMCS. Out of 77 eMCS, 18 reached a moderate disability (Glasgow Outcome Scale Extended-GOSE > 4), while the others persisted with a severe disability (GOS-E ≤ 4).

CONCLUSIONS

A multimodal assessment can help identify patients who achieve functionally relevant improvements and thus better support clinicians when communicating with caregivers.

TRIAL REGISTRATION

ClinicalTrials.gov registration number: NCT04495192.

Mortality of chronic disorders of consciousness in adults and adolescents - a retrospective community based study from Salzburg, Austria

Introduction

Epidemiological data on disorders of consciousness (DoC) is rare and very heterogeneous due to difficulties in case ascertainment and differences in health care pathways between countries. This study reports data on mortality and survival time for DoC patients in Salzburg, Austria.

Methods

All patients with DoC were registered in the health care region of Salzburg North, Austria between 2007 and 2022 and their death data retrieved from the Statistik Austria. The 1- and 5-year mortality was calculated, also in relation to several explanatory variables (age, sex, etiology, diagnosis, CRS-R score, improvement). Furthermore, the incidence, survival functions using the Kaplan-Meier estimator and a Cox-Regression were calculated.

Results

The mean annual incidence is 2.2 DoC/100.000 inhabitants in the Salzburg North region. The crude 1- and 5-year mortality rates were 25.9 and 55.1%, respectively, and the median survival of DoC patients based on the Kaplan-Meier estimator was 6.3 years. Moreover, the mortality was lower in women and in younger patients, those of traumatic etiology, and those with higher CRS-R scores, better diagnosis or an improvement of diagnosis until discharge from hospital.

Conclusion

This article gives a rare insight into epidemiological data on DoC and shows which factors influence the mortality of these patients. Moreover, it is the first community based study on mortality of DoC in Salzburg, Austria.

Spinal Cord Stimulation for Prolonged Disorders of Consciousness: A Study on Scalp Electroencephalography

BACKGROUND

Patients with disorders of consciousness (DOC) undergoing spinal cord stimulation (SCS) for arousal treatment require an assessment of their conscious state before and after the procedure. This is typically evaluated using behavioral scales (CRS-R), but this method can be influenced by the subjectivity of the physician. Event-related potentials (ERP) and EEG power spectrum are associated with the recovery of consciousness. This study aims to explore the electrophysiological and behavioral evidence of consciousness recovery in DOC patients after spinal cord stimulation (SCS) and to investigate the role of scalp EEG as a guide for preoperative assessment related to the surgery.

METHODS

For the 27 recruited patients, the CRS-R scale assessment and ERP P300 evaluation were completed before the surgery. At 3 months post-surgery, all 27 patients underwent the same assessments as preoperatively, and at 6 months post-surgery, the same evaluations were repeated for the 15 patients who could still be followed up. Between May 2023 and November 2023, resting-state EEG was collected from 13 patients using a 19-channel setup, with additional resting-state EEG recordings taken at 3 months and 6 months after the surgery. The EEG data were processed using EEGLAB to obtain P300-related metrics and EEG power spectrum. Changes in the CRS-R scale, ERP, and EEG power spectrum before and after the surgery were compared.

RESULTS

The Behavioral Scale (CRS-R) showed significant improvement at 3 months and 6 months post-surgery compared to preoperative assessments, with statistical significance (p < 0.001). The resting-state EEG power in the 5-9 Hz frequency band demonstrated statistically significant improvements at the P3 and O1 electrodes; however, this statistical result do not survive FDR correction. In the 9-13 Hz and 20-35 Hz frequency bands, the power spectrum showed statistically significant improvements across most electrodes of the brain, and these results survive FDR correction (p < 0.05). The mean amplitude, peak, and latency of P300 at the Pz electrode showed significant improvements at 3 months and 6 months post-surgery compared to preoperative values, with statistical significance (p < 0.05).

CONCLUSION

Our study shows that SCS can effectively improve the consciousness states of patients with DOC. After surgery, there were positive changes in the EEG power spectrum of the patients, transitioning from type "B" to better types "C" and "D." The average amplitude, peak, and latency of P300 also demonstrated significant improvements postoperatively. We believe that the "ABCD" model and ERP assessment applied during the preoperative evaluation can effectively enhance the success rate of SCS surgery in promoting awakening.

Development and validation of a nomogram for tracheotomy decannulation in individuals in a persistent vegetative state: A multicentre study

BACKGROUND

Decannulation for people in a persistent vegetative state (PVS) is challenging and relevant predictors of successful decannulation have yet to be identified.

OBJECTIVE

This study aimed to explore the predictors of tracheostomy decannulation outcomes in individuals in PVS and to develop a nomogram.

METHOD

In 2022, 872 people with tracheostomy in PVS were retrospectively enrolled and their data was randomly divided into a training set and a validation set in a 7:3 ratio. Univariate and multivariate regression analyses were performed on the training set to explore the influencing factors for decannulation and nomogram development. Internal validation was performed using 5-fold cross-validation. External validation was performed using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) on both the training and validation sets.

RESULT

Data from 610 to 262 individuals were used for the training and validation sets, respectively. The multivariate regression analysis found that duration of tracheostomy tube placement≥30 days (Odds Ratio [OR] 0.216, 95 % CI 0.151-0.310), pulmonary infection (OR 0.528, 95 %CI 0.366-0.761), hypoproteinemia (OR 0.669, 95 % CI 0.463-0.967), no passive standing training (OR 0.372, 95 % CI 0.253-0.547), abnormal swallowing reflex (OR 0.276, 95 % CI 0.116-0.656), mechanical ventilation (OR 0.658, 95 % CI 0.461-0.940), intensive care unit (ICU) duration>4 weeks (OR 0.517, 95 % CI 0.332-0.805), duration of endotracheal tube (OR 0.855, 95 % CI 0.803-0.907), older age (OR 0.981, 95 % CI 0.966-0.996) were risk factors for decannulation failure. Conversely, peroral feeding (OR 1.684, 95 % CI 1.178-2.406), passive standing training≥60 min (OR 1.687, 95 % CI 1.072-2.656), private caregiver (OR 1.944, 95 % CI 1.350-2.799) and ICU duration<2 weeks (OR 1.758, 95 % CI 1.173-2.634) were protective factors conducive to successful decannulation. The 5-fold cross-validation revealed a mean area under the curve of 0.744. The ROC curve C-indexes for the training and validation sets were 0.784 and 0.768, respectively, and the model exhibited good stability and accuracy. The DCA revealed a net benefit when the risk threshold was between 0 and 0.4.

CONCLUSION

The nomogram can help adjust the treatment and reduce decannulation failure.

REGISTRATION

Clinical registration is not mandatory for retrospective studies.

Limitation of life sustaining therapy in disorders of consciousness: ethics and practice

Clinical conversations surrounding the continuation or limitation of life-sustaining therapies (LLST) are both challenging and tragically necessary for patients with disorders of consciousness (DoC) following severe brain injury. Divergent cultural, philosophical and religious perspectives contribute to vast heterogeneity in clinical approaches to LLST-as reflected in regional differences and inter-clinician variability. Here we provide an ethical analysis of factors that inform LLST decisions among patients with DoC. We begin by introducing the clinical and ethical challenge and clarifying the distinction between withdrawing and withholding life-sustaining therapy. We then describe relevant factors that influence LLST decision-making including diagnostic and prognostic uncertainty, perception of pain, defining a 'good' outcome, and the role of clinicians. In concluding sections, we explore global variation in LLST practices as they pertain to patients with DoC and examine the impact of cultural and religious perspectives on approaches to LLST. Understanding and respecting the cultural and religious perspectives of patients and surrogates is essential to protecting patient autonomy and advancing goal-concordant care during critical moments of medical decision-making involving patients with DoC.

Predicting outcome in disorders of consciousness: A mega-analysis

OBJECTIVE

Assessing recovery potential in patients with disorders of consciousness (DoC) is pivotal for guiding clinical and ethical decisions. We conducted a mega-analysis of individual patient data to understand (1) if a time threshold exists, beyond which regaining consciousness is almost impossible, and (2) how recovery varies based on factors such as diagnosis, etiology, age, sex, and neuropsychological status.

METHODS

A systematic literature search revealed a total of 3290 patients. In this sample, we performed a Cox proportional hazards analysis for interval censored data.

RESULTS

We observed a late saturation of probability to regain consciousness in Kaplan-Meier curves, and the annual rate of recovery was remarkably stable, in that approximately 35% of patients regained consciousness per year. Patients in minimally conscious state (MCS) recovered more frequently than patients in unresponsive wakefulness syndrome (UWS). No significant difference was observed between the recovery dynamics of MCS subgroups: MCS+ and MCS-. Patients with hypoxic brain lesions showed worse recovery rate than patients with traumatic brain injury and patients with vascular brain lesions, while the latter two categories did not differ from each other. Male patients had moderately better chance to regain consciousness. While younger UWS patients recovered more frequently than older patients, it was not the case in MCS.

INTERPRETATION

Our findings highlight the necessity for neurologists to exercise caution when making negative predictions in individual cases, challenge traditional beliefs regarding recovery timelines, and underscore the importance of conducting detailed and prolonged assessments to better understand recovery prospects in DoC.

The predictive value of highly malignant EEG patterns after cardiac arrest: evaluation of the ERC-ESICM recommendations

PURPOSE

The 2021 guidelines endorsed by the European Resuscitation Council (ERC) and the European Society of Intensive Care Medicine (ESICM) recommend using highly malignant electroencephalogram (EEG) patterns (HMEP; suppression or burst-suppression) at > 24 h after cardiac arrest (CA) in combination with at least one other concordant predictor to prognosticate poor neurological outcome. We evaluated the prognostic accuracy of HMEP in a large multicentre cohort and investigated the added value of absent EEG reactivity.

METHODS

This is a pre-planned prognostic substudy of the Targeted Temperature Management trial 2. The presence of HMEP and background reactivity to external stimuli on EEG recorded > 24 h after CA was prospectively reported. Poor outcome was measured at 6 months and defined as a modified Rankin Scale score of 4-6. Prognostication was multimodal, and withdrawal of life-sustaining therapy (WLST) was not allowed before 96 h after CA.

RESULTS

845 patients at 59 sites were included. Of these, 579 (69%) had poor outcome, including 304 (36%) with WLST due to poor neurological prognosis. EEG was recorded at a median of 71 h (interquartile range [IQR] 52-93) after CA. HMEP at > 24 h from CA had 50% [95% confidence interval [CI] 46-54] sensitivity and 93% [90-96] specificity to predict poor outcome. Specificity was similar (93%) in 541 patients without WLST. When HMEP were unreactive, specificity improved to 97% [94-99] (p = 0.008).

CONCLUSION

The specificity of the ERC-ESICM-recommended EEG patterns for predicting poor outcome after CA exceeds 90% but is lower than in previous studies, suggesting that large-scale implementation may reduce their accuracy. Combining HMEP with an unreactive EEG background significantly improved specificity. As in other prognostication studies, a self-fulfilling prophecy bias may have contributed to observed results.