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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.

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.

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.

Purpose Up to 80% of critically ill patients have acute neurologic dysfunction syndromes. We evaluated interrater reliability between the examination by the investigator and the charted assessment by the nurse because the accuracy and reliability of detailed data sets extracted from the electronic medical records represents a keystone for creating EMR-based definitions. Materials and methods We conducted a prospective observational study of intensive care unit (ICU) patients to assess the reliability of charted Confusion Assessment Method for the ICU, Glasgow Coma Scale (GSC), Full Outline of Unresponsiveness, and Richmond Agitation Sedation Scale (RASS) scores, and a composite measure of ABF defined as new-onset coma or delirium. Trained investigator blinded to nursing assessments performed the neurologic evaluations that were compared with nursing documentation. Results A total of 202 observations were performed in 55 ICU patients. Excellent correlation was noted for GCS and Full Outline of Unresponsiveness scores on Bland-Altman plots (Pearson correlation 0.87 and 0.92, respectively). Correlation for Confusion Assessment Method for the ICU was also high ( κ = 0.86; 95% confidence interval [CI], 0.70-1.01). Richmond Agitation Sedation Scale had good agreement when scores were dichotomized as oversedated (less than − 2) vs not oversedated, with κ = 0.76 (95% CI, 0.54-0.98). Investigator assessment and nurse charting were highly concordant ( κ = 0.84; 95% CI, 0.71-0.99). Conclusion Neurologic assessments documented on the EMR are reliable.

Rationale: Research that applies an unreliable definition for transfusion-related acute lung injury (TRALI) may draw false conclusions about its risk factors and biology. The effectiveness of preventive strategies may decrease as a consequence. However, the reliability of the consensus TRALI definition is unknown.