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We present the case of a 61-year-old woman with a history of orthotopic heart transplant who was hospitalized with new-onset headache. Magnetic resonance imaging (MRI) of the brain revealed T2 hyperintense signal involving the left occipital lobe with leptomeningeal enhancement and mild vasogenic edema. Initial neurologic examination was normal; however, after 7 days she developed imbalance, visual disturbances, night sweats, bradyphrenia, alexia without agraphia, and right hemianopsia. Brain MRI showed enlargement of the left occipital mass and worsening edema. Stereotactic needle biopsy showed nondiagnostic necrosis. The patient continued to deteriorate despite dexamethasone. Cerebrospinal fluid (CSF) suggested infection, and cytomegalovirus CSF polymerase chain reaction (PCR) was positive. The patient received vancomycin, imipenem, and ganciclovir. After obtaining a positive serum beta-D-glucan (Fungitell), amphotericin was added. Despite best medical efforts, the patient died. Postmortem broad-range PCR sequencing of the brain tissue was positive for rare amoeba Balamuthia mandrillaris.

Neurological complications after heart transplantation are common and include cerebrovascular events (ischemic strokes, hemorrhagic strokes, and transient ischemic attacks), seizures, encephalopathy, central nervous system (CNS) infections, malignancies, and peripheral nervous system complications. Although most neurological complications are transient, strokes and CNS infections can result in high mortality and morbidity. Early recognition and timely management of these serious complications are crucial to improve survival and recovery. Diagnosing CNS infections can be challenging because their clinical presentation can be subtle in the setting of immunosuppression. Immunosuppressive medications themselves can cause a broad spectrum of neurological complications including seizures and posterior reversible encephalopathy syndrome. This article provides a review of the diagnosis and management of neurological complications after cardiac transplantation.

Persistent cognitive impairment after critical illness is an important healthcare problem forecasted to worsen in the near future. However, the epidemiology is insufficiently explored. We aimed to determine potentially modifiable risk factors during ICU hospitalization that play a significant role in developing persistent cognitive impairment.An observational case-control study.Mayo Clinic ICUs between July 1, 2004, and November 20, 2015.We conducted a study nested in a large cohort of 98,227 adult critically ill patients. Using previously validated computable phenotypes for dementia and cognitive impairment, we determined the onset of cognitive impairment relative to ICU hospitalization and associated risk factors. The primary endpoint of the study was new and persistent cognitive impairment documented between 3 and 24 months after ICU discharge.Unadjusted and adjusted analyses were performed to identify potentially modifiable risk factors during ICU hospitalization.Among 21,923 unique patients identified as cognitively impaired (22% of the entire ICU cohort), 2,428 (2.5%) developed incident new and persistent cognitive dysfunction after the index ICU admission. Compared with age- and sex-matched ICU controls (2,401 pairs), cases had higher chronic illness burden (Charlson Comorbidity Index, 6.2 vs 5.1; p0.01), and were more likely to have multiple ICU stays (22% vs 14%; p0.01). After adjustment for baseline differences, new and persistent cognitive dysfunction was associated with higher frequency of acute brain failure in the ICU, a higher exposure to severe hypotension, hypoxemia, hyperthermia, fluctuations in serum glucose, and treatment with quinolones or vancomycin. Association with sepsis observed in univariate analysis did not persist after adjustment.Cognitive dysfunction is highly prevalent in ICU patients. Incident new and persistent cognitive impairment is less common but important, potentially preventable problem after critical illness. Chronic comorbidities and number of ICU stays increase the risk of post-ICU cognitive dysfunction irrespective of age. Modifiable ICU exposures were identified as potential targets for future prevention trials.

An acutely comatose patient constitutes a medical emergency until proved otherwise. Managing these emergencies requires organized teamwork to recognize and treat life-threatening situations and reversible causes of coma. Once vital functions have been stabilized, information from the history and physical examination should be used to rationally guide subsequent testing. Identifying causes of coma for which emergency treatment is possible should be the priority. The treatment and prognosis depend on the cause.

BackgroundSince the outbreak of COVID-19 pandemic, clinical data from various parts of the world have been reported. Up till now, there has been no clinical data with regards to COVID-19 from Bosnia and Herzegovina (B&H). The aim was to report on the first cohort of patients from B&H and to analyze factors that influence COVID-19 patient’s length of hospitalization (LOH).MethodsThis retrospective cohort study was conducted at Tuzla University Clinical Center (UKC), B&H. It involved 25 COVID-19 positive patients that needed hospitalisation between March 28th and April 27th 2020. The LOH was measured from the time of admission to discharge. Factors analyzed induced age, BMI, presence of known comorbidities, serum creatinine and O2saturation upon admission.ResultsThe mean age was 52.92 ± 19.15 years and BMI 28.80 ± 4.22.LOH for patients with BMI p p = 0.026) for ≥25 BMI. The mean LOH of patients with normal levels of O2 ≥ 95% was 11.667 ± SE1.202 (CI95% 8.261 to 13.739;p = 0.046), while LOH for patients with p = 0.042; HR 3.732 CI95%1.137–12.251p = 0.03). Patients without known comorbidities had a mean LOH of 11.700 ± SE1.075 (CI 95% 9.592–13.808), while those with comorbidities had a mean of 14.8 ± 1.303 (CI 95% 12.247–17.353;p = 0.029) with HR2.552.ConclusionLOH varied among COVID-19 patients and was prolonged when analyzed for BMI ≥25, comorbidities, elevated creatinine, and O2 saturation

Background and Purpose: To describe the neurological and cerebrovascular findings in patients who tested positive for SARS-CoV-2 and underwent head imaging in ambulatory and inpatient settings. Methods: Consecutive patients aged ≥18 years with SARS-CoV-2 infection diagnosed or treated at Mayo Clinic sites from 3/11/2020 to 7/23/2020 with head CT or brain MRI within 30 days of SARS-CoV-2 diagnosis were included. Demographics, medical history, indication for SARS-CoV-2 testing, neurologic symptoms, indication for brain imaging, neuroimaging findings, etiology of cerebrovascular events, and hospital course were abstracted from medical records. Results: Of 8,675 patients with SARS-CoV-2, 180 (2.07%) had head imaging. Mean age of the entire cohort was 42 ± 18 years, whereas mean age of those with head imaging was 62 ± 19 years. Common indications for imaging were headache (34.4%), encephalopathy (33.4%), focal neurologic symptom (16.7%), and trauma (13.9%). While 86.1% of patients who underwent head imaging had normal exams, cerebrovascular events occurred in 18 patients (0.21% of the total cohort). Of patients with cerebrovascular events, 8 (44.5%) had acute infarct; 6 (33.3%), acute intracranial hemorrhage; 5 (2.8%), subacute infarct; and 1 (0.6%) posterior reversible encephalopathy syndrome. In the thirteen patients with ischemic stroke, 6 (46.2%) had cryptogenic stroke; 3 (23.1%), other defined causes; 2 (15.4%), small vessel stroke; 1 (7.7%), large vessel stroke; and 1 (7.7%) cardioembolic stroke. Conclusion: In ambulatory and hospitalized patients with SARS-CoV-2 infection, the rate of head imaging is low, with common indications of encephalopathy and headache. Cerebrovascular events occurred rarely, and cryptogenic stroke was the most common stroke mechanism.

In many areas of the world, critical care providers caring for COVID-19 patients lacked specific knowledge and were exposed to the abundance of new and unfiltered information. With support from the World Health Organization, we created a multimodal tele-education intervention to rapidly share critical care knowledge related to COVID-19 targeting providers in a region of Southeastern Europe. We delivered 60-minute weekly interactive tele-education sessions over YouTube TM between March and May 2020, supplemented by a dedicated webpage. The intervention was reinforced using a secure social media platform (Viber TM) providing continuous rapid knowledge exchange among faculty and learners. A high level of engagement was observed with over 2,000 clinicians participating and actively interacting over a six-week period. Surveyed participants were highly satisfied with the intervention. Tele-education interventions using social media platforms are feasible, low-cost, and effective methods to share knowledge during the COVID-19 pandemic.

PURPOSE: To determine the prevalence of disability among ICU survivors one year after admission, and which factors influence functional outcome. METHODS: We examined consecutive patients enrolled in the population-based Mayo Clinic Olmsted Study of Aging and then admitted to medical or surgical adult ICUs at Mayo Clinic, Rochester between January 1, 2006, and December 31, 2014 to determine one-year functional outcomes. RESULTS: 831 cases were included. Mean age was 84 years (IQR 79–88). 569 (68.5%) patients were alive one year after ICU admission. Of them, 546 patients had functional assessment at one year and 367 (67.2%) had good functional outcome. On multivariable analysis, poor one-year functional outcome (death or disability) was more common among women, older patients, and patients with baseline cognitive impairment (mild cognitive impairment or dementia), higher Carlson scores, and longer ICU stay (all P

The definition of severe acute respiratory infection (SARI) – a respiratory illness with fever and cough, occurring within the past 10 days and requiring hospital admission – has not been evaluated for critically ill patients. Using integrated electronic health records data, we developed an automated search algorithm to identify SARI cases in a large cohort of critical care patients and evaluate patient outcomes. We conducted a retrospective cohort study of all admissions to a medical intensive care unit from August 2009 through March 2016. Subsets were randomly selected for deriving and validating a search algorithm, which was compared with temporal trends in laboratory-confirmed influenza to ensure that SARI was correlated with influenza. The algorithm was applied to the cohort to identify clinical differences for patients with and without SARI. For identifying SARI, the algorithm (sensitivity, 86.9%; specificity, 95.6%) outperformed billing-based searching (sensitivity, 73.8%; specificity, 78.8%). Automated searching correlated with peaks in laboratory-confirmed influenza. Adjusted for severity of illness, SARI was associated with more hospital, intensive care unit and ventilator days but not with death or dismissal to home. The search algorithm accurately identified SARI for epidemiologic study and surveillance.

Purpose Long-term cognitive impairment is a common and important problem in survivors of critical illness. We developed electronic search algorithms to identify cognitive impairment and dementia from the electronic medical records (EMRs) that provide opportunity for big data analysis. Materials and methods Eligible patients met 2 criteria. First, they had a formal cognitive evaluation by The Mayo Clinic Study of Aging. Second, they were hospitalized in intensive care unit at our institution between 2006 and 2014. The “criterion standard” for diagnosis was formal cognitive evaluation supplemented by input from an expert neurologist. Using all available EMR data, we developed and improved our algorithms in the derivation cohort and validated them in the independent validation cohort. Results Of 993 participants who underwent formal cognitive testing and were hospitalized in intensive care unit, we selected 151 participants at random to form the derivation and validation cohorts. The automated electronic search algorithm for cognitive impairment was 94.3% sensitive and 93.0% specific. The search algorithms for dementia achieved respective sensitivity and specificity of 97% and 99%. EMR search algorithms significantly outperformed International Classification of Diseases codes. Conclusions Automated EMR data extractions for cognitive impairment and dementia are reliable and accurate and can serve as acceptable and efficient alternatives to time-consuming manual data review.

There is an increasing realization in the critical care community that persistent cognitive impairment is a common and disabling complication after ICU care. In this review, we discuss the best available information on the magnitude of the problem, its possible mechanisms, risk factors, management strategies and prognosis.Estimates of the incidence of persistent cognitive impairment after critical illness vary widely across studies but the most solid prospective information indicates that it may occur in 20-40% of patients discharged from the ICU. From the available evidence, it is difficult to discriminate between de novo cognitive impairment and exacerbation of preexistent cognitive decline. The pathogenesis is multifactorial but inflammatory mechanisms causing derangements of endothelial function and blood-brain barrier integrity might play an important role. Brain atrophy and white matter tract disruption can be structural correlates of the cognitive decline. Prolonged delirium in the ICU is the strongest risk factor for the development of subsequent persistent cognitive impairment. Management strategies are currently limited to those designed to prevent and improve delirium. Cognitive trajectories may vary but a substantial proportion of patients with cognitive impairment 3 months after ICU discharge are still cognitively impaired at 12 months.Persistent cognitive impairment is a major complication of critical illness. Our knowledge of this problem remains incomplete. Collaborative research is indispensable to improve our understanding of this disabling sequel and to identify ways to prevent it.

Long-term cognitive impairment is common in survivors of critical illness. Little is known about the etiology of this serious complication. We sought to summarize current scientific knowledge about potentially modifiable risk factors during intensive care unit (ICU) treatment that may play a substantial role in the development of long-term cognitive impairment. All searches were run on October 1, 2017. The search strategy included Ovid MEDLINE, Ovid Embase, Ovid CDR, Cochrane Central Register of Controlled Trials and Database of Abstracts of Reviews of Effect, Scopus, and Web of Science, and included MeSH headings and keywords related to intensive care, critical care, and cognitive disorders. Searches were restricted to adult subjects. Inclusion required follow-up cognitive evaluation at least 2 months after ICU discharge. Studies assessing patients with cardiac arrest, traumatic brain injury, and cardiac surgery history were excluded. The search strategy resulted in 3180 studies. Of these, 28 studies (.88%) met our inclusion criteria and were analyzed. Delirium and duration of delirium were associated with long-term cognitive impairment after ICU admission in 6 of 9 studies in which this factor was analyzed. Weaker and more inconsistent associations have been reported with hypoglycemia, hyperglycemia, fluctuations in serum glucose levels, and in-hospital acute stress symptoms. Instead, most of the studies did not find significant associations between long-term cognitive impairment and mechanical ventilation; use of sedatives, vasopressors, or analgesic medications; enteral feeding; hypoxia; extracorporeal membrane oxygenation; systolic blood pressure; pulse rate; or length of ICU stay. Prolonged delirium may be a risk factor for long-term cognitive impairment after critical illness, though this association has not been entirely consistent across studies. Other potentially preventable factors have not been shown to have strong or consistent associations with long-term cognitive dysfunction in survivors of critical illness.

Objective To determine the incidence, risk factors and outcomes of acute brain failure (ABF) in a mixed medical and surgical cohort of critically ill patients and its effect on ICU & hospital mortality. Design Observational electronic medical record (EMR) based retrospective cohort study of critically ill patients admitted to the ICU between 2006 and 2013. Setting Tertiary academic medical center. Patients Consecutive adult (> 18 years) critically ill patients admitted to medical and surgical ICUs. Patients admitted to the Neuroscience, Pediatric and Neonatal ICUs were excluded. Interventions None. Measurements and main results ABF was defined by the presence of delirium (positive CAM-ICU) or depressed level of consciousness (by abnormal GCS and FOUR scores) in the absence of deep sedation (RASS 8 and grade II if the GCS was ≤ 8 with or without delirium during the ICU hospitalization. ABF duration was not used for this study. Univariate and multivariable analyses were used to access the factors associated with the development of ABF and its effect on short and long term mortality. Of 67,333 ICU patients included in the analysis, ABF was present in 30,610 (44.6%). Patients with ABF had an isolated delirium in 1985 (6.5%) patients, isolated depressed consciousness in 18,323 (59.9%), and both delirium and depressed consciousness in 10,302 (33.6%) patients. When adjusted for comorbidities and severity of illness ABF was associated with increased hospital (OR 3.47; 95% CI 3.19–3.79), and at one year (OR 2.36; 95% CI 2.24–2.50) mortality. Both hospital and one year mortality correlated with the increased severity of ABF. The factors most strongly associated with ABF were pre-admission dementia (OR 7.86; 95% CI 6.15–10.19) and invasive ventilation (OR 2.32; 95% CI 2.24–2.40) but older age, female sex, presence of liver disease, renal failure, diabetes mellitus, malignancy and COPD were also associated with increased risk of ABF. Conclusions ABF is a common complication of critical illness and is associated with increased short and long term mortality. The risk of ABF was particularly high in older patients with baseline dementia, COPD, diabetes, liver and renal disease and those treated with invasive mechanical ventilation.