An environmental scan of visitation policies in Canadian intensive care units during the first wave of the COVID-19 pandemic.

PURPOSE: In response to the rapid spread of SARS-CoV-2, hospitals in Canada enacted temporary visitor restrictions to limit the spread of COVID-19 and preserve personal protective equipment supplies. This study describes the extent, variation, and fluctuation of Canadian adult intensive care unit (ICU) visitation policies before and during the first wave of the COVID-19 pandemic. METHODS: We conducted an environmental scan of Canadian hospital visitation policies throughout the first wave of the pandemic. We conducted a two-phased study analyzing both quantitative and qualitative data. RESULTS: We collected 257 documents with reference to visitation policies (preCOVID, 101 [39%]; midCOVID, 71 [28%]; and lateCOVID, 85 [33%]). Of these 257 documents, 38 (15%) were ICU-specific and 70 (27%) referenced the ICU. Most policies during the midCOVID/lateCOVID pandemic period allowed no visitors with specific exceptions (e.g., end-of-life). Framework analysis revealed five overarching themes: 1) reasons for restricted visitation policies; 2) visitation policies and expectations; 3) exceptions to visitation policy; 4) patient and family-centred care; and 5) communication and transparency. CONCLUSIONS: During the first wave of the COVID-19 pandemic, most Canadian hospitals had public-facing visitor restriction policies with specific exception categories, most commonly for patients at end-of-life, patients requiring assistance, or COVID-19 positive patients (varying from not allowed to case-by-case). Further studies are needed to understand the consistency with which visitation policies were operationalized and how they may have impacted patient- and family-centred care.

RéSUMé: OBJECTIF: En réponse à la propagation rapide du SRAS-CoV-2, les hôpitaux du Canada ont adopté des restrictions temporaires pour les visites afin de limiter la propagation de la COVID-19 et de préserver les stocks d'équipements de protection individuelle. Cette étude décrit l'ampleur, les variations et fluctuations des politiques canadiennes concernant les visites aux unités de soins intensifs (USI) pour adultes avant et pendant la première vague de la pandémie de COVID-19. MéTHODE: Nous avons réalisé une étude de milieu des politiques hospitalières canadiennes concernant les visites tout au long de la première vague de la pandémie. Nous avons mené une étude en deux phases analysant des données quantitatives et qualitatives. RéSULTATS: Nous avons recueilli 257 documents faisant référence aux politiques de visites (pré-COVID, 101 [39 %]; mid-COVID, 71 [28 %]; et COVID-tardif, 85 [33 %]). Sur ces 257 documents, 38 (15 %) étaient spécifiques aux USI et 70 (27 %) faisaient référence aux USI. La plupart des politiques au cours de la période pandémique mid-COVID/COVID-tardif ne permettaient aucune visite sauf exception spécifique (p. ex., fin de vie). L'analyse du cadre a révélé cinq thèmes généraux : 1) les raisons des restrictions des politiques de visites; 2) les politiques et attentes en matière de visites; 3) les exceptions aux politiques de visites; 4) les soins aux patients et centrés sur la famille; et 5) la communication et la transparence. CONCLUSION: Au cours de la première vague de la pandémie de COVID-19, la plupart des hôpitaux canadiens avaient des politiques de restriction des visites s'appliquant au public avec des catégories d'exception spécifiques, le plus souvent pour les patients en fin de vie, les patients nécessitant de l'aide ou les patients COVID-positifs (variant d'une interdiction au cas par cas). D'autres études sont nécessaires pour comprendre l'uniformité avec laquelle les politiques de visites ont été mises en œuvre et comment elles ont pu avoir une incidence sur les soins centrés sur le patient et la famille.

Is Concussion a Risk Factor for Epilepsy?

BACKGROUND: Epidemiologic studies have suggested that concussion, or mild traumatic brain injury (mTBI), is associated with a twofold or greater increase in relative risk for the development of post-traumatic epilepsy. To assess the clinical validity of these findings, we analyzed the incidence of epilepsy in a large cohort of post-concussion patients in whom concussion was strictly defined according to international guidelines. METHODS: A retrospective cohort study of 330 consecutive post-concussion patients followed by a single concussion specialist. Exclusion criteria: abnormal brain CT/MRI, Glasgow Coma Scale48 hours. Independent variable: concussion. Outcome measure: epilepsy incidence (dependent variable). RESULTS: The mean number of concussions/patient was 3.3 (±2.5), mean age at first clinic visit 28 years (±14.7), and mean follow-up after first concussion 7.6 years (±10.8). Eight patients were identified whose medical records included mention of seizures or convulsions or epilepsy. Upon review by an epileptologist none met criteria for a definite diagnosis of epilepsy: four had episodic symptoms incompatible with epileptic seizures (e.g., multifocal paraesthesiae, multimodality hallucinations, classic migraine) and normal EEG/MRI investigations; four had syncopal (n=2) or concussive (n=2) convulsions. Compared with annual incidence (0.5/1000 individuals) in the general population, there was no difference in this post-concussion cohort (p=0.49). CONCLUSION: In this large cohort of post-concussion patients we found no increased incidence of epilepsy. For at least the first 5-10 years post-injury, concussion/mTBI should not be considered a significant risk factor for epilepsy. In patients with epilepsy and a past history of concussion, the epilepsy should not be presumed to be post-traumatic.

Adaptation and Validation of a Chart-Based Delirium Detection Tool for the ICU (CHART-DEL-ICU).

OBJECTIVE: To adapt and validate a chart-based delirium detection tool for use in critically ill adults. DESIGN: Validation study. SETTING: Medical-surgical intensive care unit (ICU) in an academic hospital. MEASUREMENTS: A chart-based delirium detection tool (CHART-DEL) was adapted for use in critically ill adults (CHART-DEL-ICU) and compared with prospective delirium assessments (i.e., clinical assessments (reference standard) by a research nurse trained by a neuropsychiatrist and routine delirium screening tools Confusion Assessment Method (CAM-ICU)) and (Intensive Care Delirium Screening Checklist (ICDSC)). The original CHART-DEL tool was adapted to include physician-reported ICDSC score (for probable delirium) and Richmond-Agitation Sedation Scale score (for altered level of consciousness and agitation). Two trained chart abstractors blinded to all delirium assessments manually abstracted delirium-related information from medical charts and electronic medical records and rated if delirium was present (four levels: uncertain, possible, probable, definite) or absent (no evidence). RESULTS: Charts were manually abstracted for delirium-related information for 213 patients who were included in a prospective cohort study that included prospective delirium assessments. The CHART-DEL-ICU tool had excellent interrater reliability (kappa = 0.90). Compared to the reference standard, the sensitivity was 66.0% (95% CI = 59.3-72.3%) and specificity was 82.1% (95% CI = 78.0-85.7%), with a cut-point that included definite, probable, possible, and uncertain delirium. The AUC of the CHART-DEL-ICU alone is 74.1% (95% CI = 70.4-77.8%) compared with the addition of the CAM-ICU and ICDSC (CAM-ICU/CHART-DEL-ICU: 80.9% (95% CI = 77.8-83.9%), P = .01; ICDSC/CHART-DEL-ICU: 79.2% (95% CI = 75.9-82.6%), P = .03). CONCLUSION: A chart-based delirium detection tool has improved diagnostic accuracy when combined with routine delirium screening tools (CAM-ICU and ICDSC), compared to a chart-based method on its own. This presents a potential for retrospective detection of delirium from medical charts for research or to augment routine delirium screening methods to find missed cases of delirium.

Longitudinal Study of Postconcussion Syndrome: Not Everyone Recovers.

We examined recovery from postconcussion syndrome (PCS) in a series of 285 patients diagnosed with concussion based on international sport concussion criteria who received a questionnaire regarding recovery. Of 141 respondents, those with postconcussion symptoms lasting less than 3 months, a positive computed tomography (CT) and/or magnetic resonance imaging (MRI), litigants, and known Test of Memory Malingering (TOMM)-positive cases were excluded, leaving 110 eligible respondents. We found that only 27% of our population eventually recovered and 67% of those who recovered did so within the first year. Notably, no eligible respondent recovered from PCS lasting 3 years or longer. Those who did not recover (n = 80) were more likely to be non-compliant with a do-not-return-to-play recommendation (p = 0.006) but did not differ from the recovered group (n = 30) in other demographic variables, including age and sex (p ≥ 0.05). Clustergram analysis revealed that symptoms tended to appear in a predictable order, such that symptoms later in the order were more likely to be present if those earlier in the order were already present. Cox proportional hazards model analysis showed that the more symptoms reported, the longer the time to recovery (p = 7.4 × 10-6), with each additional symptom reducing the recovery rate by approximately 20%. This is the first longitudinal PCS study to focus on PCS defined specifically as a minimum of 3 months of symptoms, negative CT and/or MRI, negative TOMM test, and no litigation. PCS may be permanent if recovery has not occurred by 3 years. Symptoms appear in a predictable order, and each additional PCS symptom reduces recovery rate by 20%. More long-term follow-up studies are needed to examine recovery from PCS.

The financial toll of career-ending concussions in professional hockey.

AIM: Several high-profile professional hockey players have retired due to career-ending concussions sustained in the National Hockey League (NHL). We sought to determine the salary cost of career-ending concussions in the NHL. METHODS: Concussion-induced retirements from 1995 to 2015 were identified using public media sources. The number of missed games due to a player's final concussion was multiplied by per game salary to determine cost. RESULTS: In total, 35 players were identified: the total cost to teams and insurers of career-ending concussions was US$135,476,777. Half of the total consisted of salaries owing three players with contracts still active in 2015. CONCLUSION: The financial impact of concussion-induced retirements provides another reason for professional leagues to take measures to better protect their players from concussion.

Postconcussion syndrome: demographics and predictors in 221 patients.

OBJECTIVE The objective of this study was to determine the demographics and predictors of postconcussion syndrome (PCS) in a large series of patients using a novel definition of PCS. METHODS The authors conducted a retrospective cohort study of 284 consecutive concussed patients, 221 of whom had PCS on the basis of at least 3 symptoms persisting at least 1 month. This definition of PCS was uniformly employed and is unique in accepting an expanded list of symptoms, in shortening the postconcussion interval to 1 month from 3 months, and in excluding those with focal injuries such as hemorrhages and contusions. RESULTS The 221 cases showed considerable heterogeneity in clinical features of PCS. They averaged 3.3 concussions, with a range of 0 to 12 or more concussions, and 62.4% occurred during sports and recreation. The median duration of PCS was 7 months at the time of examination, with 11.8% lasting more than 2 years, and 23.1% with PCS had only 1 concussion. The average patient age was 27 years (range 10-74 years). The average number of persistent symptoms was 8.1; 26.2% had a previous psychiatric condition, attention-deficit disorder/attention-deficit hyperactivity disorder, a learning disability, or previous migraine headaches. The prevalence of arachnoid cysts and Chiari malformation in PCS exceeded the general population. Additionally, involvement in litigation, presence of extracranial injuries, amnesia and/or loss of consciousness, and female sex were predictive of reporting a high number of symptoms. A prior history of psychiatric conditions or migraines, cause of injury, number of previous concussions, and age did not significantly predict symptom number. Only the number of symptoms reported predicted the duration of PCS. To predict the number of symptoms for those who fulfilled PCS criteria according to the International Classification of Diseases, 10th Revision (ICD-10), and the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV), the number of previous concussions was significant. CONCLUSIONS PCS is commonly associated with multiple concussions, but 23.1% in the present series occurred after only 1 concussion. Most patients with PCS had multiple symptoms persisting for months or years. The median duration of PCS was 7 months, with a range up to 26 years. In only 11.3%, the PCS had ended at the time of consultation. Not all predictors commonly cited in the literature align with the findings in this study. This is likely due to differences in the definitions of PCS used in research. These results suggest that the use of ICD-10 and DSM-IV to diagnose PCS may be biased toward those who are vulnerable to concussions or with more severe forms of PCS. It is thus important to redefine PCS based on evidence-based medicine.

Intracranial pressure measured in freely moving rats for days after intracerebral hemorrhage.

In some patients, intracerebral hemorrhage (ICH) causes life-threatening elevations in intracranial pressure (ICP) arising from mass effect of the hematoma and edema. Accordingly, edema is a common endpoint to gauge treatment efficacy in rodent ICH models. Despite widespread reliance on edema, its relationship with ICP and cerebral perfusion pressure (CPP) is unknown. Blood pressure (BP) and ICP were measured by telemetry devices in rats after collagenase ("severe" - 0.3U, and "moderate" - 0.15U doses) or blood infusion (100µL) into striatum (vs. saline infused shams). We compared epidural and intraparenchymal ICP readings (collagenase), evaluated CPP (collagenase), and compared models. Moderate (9.46mmHg±4.72 SD, 3day average) and severe collagenase ICHs (10.79±3.50) significantly increased ICP versus shams (4.02±2.09), whereas blood infusion did not (5.37±0.55). The two monitoring locations gave similar readings after severe collagenase ICH. Increased ICP reduced CPP by ~7.5mmHg for days after the larger collagenase infusion. CPP averaged from 103-112mmHg in shams. Edema occurred in all ICH models and predicted ICP. However, ICP and CPP were only modestly changed even after severe ICH and edema. Thus, small changes in edema typically reported in the literature, which often use smaller bleeds than presently used, likely minimally affects ICP and CPP. Further research into the face validity of these models, endpoints, and their ability to evaluate therapeutics is needed.