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  • 1
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2008
    In:  Critical Care Vol. 12, No. 3 ( 2008), p. R63-
    In: Critical Care, Springer Science and Business Media LLC, Vol. 12, No. 3 ( 2008), p. R63-
    Type of Medium: Online Resource
    ISSN: 1364-8535
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2008
    detail.hit.zdb_id: 2051256-9
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  • 2
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2021
    In:  Neurology Vol. 97, No. 6 ( 2021-08-10), p. e629-e642
    In: Neurology, Ovid Technologies (Wolters Kluwer Health), Vol. 97, No. 6 ( 2021-08-10), p. e629-e642
    Abstract: A systematic literature search has been performed to identify potential confounders for outcome prediction using pupillary light reflex in adult critically ill patients, as measured by handheld automated pupillometry devices. Methods Three digital databases (PubMed, EmBase, Cochrane) were systematically searched. Articles published between 1990 and 2019 in adult patients using monocular automated handheld devices were considered. Studies were classified according to the Oxford Centre for Evidence-Based Medicine classification (level 1 represents the highest and level 5 the lowest level of evidence). Case reports, original research, and systematic reviews were included and cross-referenced. Results With the use of 202 search terms, 58 eligible articles reporting the use of handheld pupillometry in the critically ill could be identified, considering 3,246 patients. The highest level of evidence came from 10 randomized trials and 19 prospective observational studies. The level of evidence was mostly 2 to 3 and highest with studies regarding the potential confounding effects of pain, the use of opioids, and increased intracranial pressure. Additional potential confounders found are selective serotonin reuptake inhibitors, α2-adregenic receptor agonists, and NMDA antagonists. Conclusions The pupillary light reflex is susceptible to factors resulting from underlying comorbid conditions and effects of treatment regimens. Scenarios frequently encountered in critical care such as pain, use of opioids, and proof of increased intracranial pressure have potential confounding effects on outcome and pupillary reflexes. When treatment is guided by pupillary metrics, such confounders put patients at risk of overtreatment or undertreatment. Future research should validate and identify additional confounders, because our review suggests that even more unexplored confounders may exist.
    Type of Medium: Online Resource
    ISSN: 0028-3878 , 1526-632X
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2021
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  • 3
    In: Critical Care Medicine, Ovid Technologies (Wolters Kluwer Health), Vol. 49, No. 12 ( 2021-12), p. e1241-e1251
    Abstract: To identify early predictors of postictal delirium in adult patients after termination of status epilepticus. DESIGN: Retrospective study. SETTING: ICUs at a Swiss tertiary academic medical center. PATIENTS: Status epilepticus patients treated on the ICUs for longer than 24 hours from 2012 to 2018. INTERVENTIONS: None. METHODS: Primary outcome was postictal delirium during post-status epilepticus treatment defined as an Intensive Care Delirium Screening Checklist greater than or equal to 4. Associations with postictal delirium were secondary outcomes. A time-dependent multivariable Cox proportional hazards model was used to identify risks of postictal delirium. It included variables that differed between patients with and without delirium and established risk factors for delirium (age, sex, number of inserted catheters, illness severity [quantified by the Sequential Organ Failure Assessment and Status Epilepticus Severity Score], neurodegenerative disease, dementia, alcohol/drug consumption, infections, coma during status epilepticus, dose of benzodiazepines, anesthetics, and mechanical ventilation). MEASUREMENTS AND MAIN RESULTS: Among 224 patients, post-status epilepticus Intensive Care Delirium Screening Checklist was increased in 83% with delirium emerging in 55% with a median duration of 2 days (interquartile range 1–3 d). Among all variables, only the history of alcohol and/or drug consumption was associated with increased hazards for delirium in multivariable analyses (hazard ratio = 3.35; 95% CI, 1.53–7.33). CONCLUSIONS: Our study provides first exploratory insights into the risks of postictal delirium in adult status epilepticus patients treated in the ICU. Delirium following status epilepticus is frequent, lasting mostly 2–3 days. Our findings that with the exception of a history of alcohol and/or drug consumption, other risk factors of delirium were not found to be associated with a risk of postictal delirium may be related to the limited sample size and the exploratory nature of our study. Further investigations are needed to investigate the role of established risk factors in other status epilepticus cohorts. In the meantime, our results indicate that the risk of delirium should be especially considered in patients with a history of alcohol and/or drug consumption.
    Type of Medium: Online Resource
    ISSN: 0090-3493
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2021
    detail.hit.zdb_id: 2034247-0
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  • 4
    In: Critical Care, Springer Science and Business Media LLC, Vol. 14, No. 2 ( 2010), p. R64-
    Type of Medium: Online Resource
    ISSN: 1364-8535
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2010
    detail.hit.zdb_id: 2051256-9
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  • 5
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2011
    In:  Critical Care Vol. 15, No. 6 ( 2011), p. R274-
    In: Critical Care, Springer Science and Business Media LLC, Vol. 15, No. 6 ( 2011), p. R274-
    Type of Medium: Online Resource
    ISSN: 1364-8535
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2011
    detail.hit.zdb_id: 2051256-9
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  • 6
    In: Epilepsia, Wiley, Vol. 60, No. 2 ( 2019-02), p. 189-200
    Abstract: To characterize a critically ill cohort with status epilepticus ( SE ) by the illness severity scoring systems SAPS II (Simplified Acute Physiology Score II), APACHE II (Acute Physiology and Chronic Health Evaluation II), and SOFA (Sequential Organ Failure Assessment), and to compare their performance with the STESS (Status Epilepticus Severity Score) for outcome prediction. Methods The prospective cohort study was carried out at the University Hospital Basel, a Swiss tertiary academic medical care center. Consecutive adult SE patients hospitalized in the intensive care units from 2011 to 2016 were included. Illness severity scores and additional clinical data were recorded. Logistic regression models using automated variable selection were applied to identify scores associated with no return to functional and neurological baseline and death. Measures of discrimination and calibration were assessed. Results Among 184 patients, 33% returned to baseline. Median scores of the illness severity scores were within the lowest third of the possible scoring ranges, and all differed significantly between patients with and without return to baseline. The areas under the receiver operating curves for the prediction of no return to baseline and death ranged from 0.64 to 0.73, with the highest value for the STESS predicting no return to baseline. Measures of calibration revealed adequate model fit for all analyses. Among integral components of the scoring systems, only the Glasgow Coma Scale (GCS) differed significantly between patients with and without return to baseline. In multivariable analyses, decreasing GCS and increasing STESS had the strongest associations (odds ratio [ OR ] = 0.84, 95% confidence interval [ CI ] = 0.77‐0.93 and OR  = 1.34, 95% CI = 1.05‐1.68, respectively) with no return to baseline independent of all other scoring systems, whereas the APACHE II revealed the strongest association with death ( OR  = 1.15, 95% CI = 1.06‐1.25). Significance Although complex illness severity scoring systems in SE patients facilitate benchmarking and comparisons with other severely ill patient cohorts, they offer no advantages over the STESS and GCS regarding prediction of no return to baseline.
    Type of Medium: Online Resource
    ISSN: 0013-9580 , 1528-1167
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 2002194-X
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  • 7
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2017
    In:  Neurology Vol. 89, No. 4 ( 2017-07-25), p. 376-384
    In: Neurology, Ovid Technologies (Wolters Kluwer Health), Vol. 89, No. 4 ( 2017-07-25), p. 376-384
    Abstract: To determine the implications of first responses of emergency medical services (EMS) to out-of-hospital status epilepticus (SE) on outcome. Methods: From 2005 to 2014, prehospital and in-hospital data were assessed in consecutive adults admitted to an academic medical center with out-of-hospital SE. Logistic regression was performed to identify variables with a robust association between missed epileptic events by the EMS and no recovery to functional baseline in survivors. Results: Among 213 SE patients, 150 were admitted via EMS. While nonconvulsive SE (NCSE) was missed by the EMS in 63.7%, convulsive SE (CSE) was not missed except in 4 patients with transformation into subtle SE. Missed NCSE was more likely with older age (odds ratio [OR] per year 1.06, 95% confidence interval [CI] 1.02–1.10, p = 0.003) and no seizure history (OR 6.64, 95% CI 2.43–18.1, p 〈 0.001). The area under the receiver operating characteristic curve for prediction of missed NCSE by these variables was 0.839. Independent predictors for not receiving benzodiazepines were increasing age (OR per year 1.05, 95% CI 1.01–1.08, p = 0.008) and higher Glasgow Coma Scale score (OR per increasing unit 1.21, 95% CI 1.09–1.36, p = 0.001). Missed NCSE was independently associated with increased odds for no return to functional baseline in survivors (OR 3.83, 95% CI 1.22–11.98, p = 0.021). Conclusions: Among patients admitted with out-of-hospital SE, CSE is mostly recognized while NCSE is frequently missed especially in patients with increasing age and no seizure history. This calls for heightened awareness for out-of-hospital NCSE in such patients, as missed NCSE is associated with lack of treatment and less recovery to functional baseline in survivors independent of established outcome predictors.
    Type of Medium: Online Resource
    ISSN: 0028-3878 , 1526-632X
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2017
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  • 8
    Online Resource
    Online Resource
    Elsevier BV ; 2002
    In:  European Journal of Internal Medicine Vol. 13, No. 3 ( 2002-5), p. 210-211
    In: European Journal of Internal Medicine, Elsevier BV, Vol. 13, No. 3 ( 2002-5), p. 210-211
    Type of Medium: Online Resource
    ISSN: 0953-6205
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2002
    detail.hit.zdb_id: 2026166-4
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  • 9
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2021
    In:  Neurology Vol. 96, No. 1 ( 2021-01-05), p. e102-e110
    In: Neurology, Ovid Technologies (Wolters Kluwer Health), Vol. 96, No. 1 ( 2021-01-05), p. e102-e110
    Abstract: To test the accuracy of an equation in adult patients with status epilepticus that calculates the free concentration of serum valproic acid (fVPA) from the total concentration of serum valproic acid (tVPA) and serum albumin. Methods All adult patients with status epilepticus who were treated at a Swiss academic medical center between 2005 and 2018 with concurrent measurements of tVPA, fVPA, and serum albumin were included. fVPA was categorized as subtherapeutic, therapeutic (5–10 mg/L), or supratherapeutic. Agreement was defined as the proportion of measured and calculated fVPA falling within the same category. Results Of 676 patients with status epilepticus, 104 had 506 measurements, with a median of 3 (interquartile range [IQR] 1.5–6.5) per patient. The median tVPA was 43.5 mg/L (27.4–63.6), with measured fVPA 9.1 mg/L (4.5–14.7) and calculated fVPA 10.1 mg/L (7.0–13.0), respectively. The median deviation of calculated from measured fVPA was −0.8 mg/L (−3.2 to 2.5) with 336 measurements 〉 1 mg/L. While the association between measured and calculated fVPA was linear (regression coefficient 1.1, 95% confidence interval 0.9–1.2, p 〈 0.0001), the agreement on effective drug levels did not match in 39.8% of measurements regardless of serum albumin levels, with calculated fVPA overestimating measured fVPA in 30.4%. tVPA and serum albumin independently influenced the accuracy of the calculated fVPA in the multivariable model. Conclusions Calculated fVPA is inaccurate when using the proposed equation in adult patients with status epilepticus, calling for drug monitoring based on measured fVPA in this context.
    Type of Medium: Online Resource
    ISSN: 0028-3878 , 1526-632X
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2021
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  • 10
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2021
    In:  Neurology Vol. 97, No. 6 ( 2021-08-10), p. e564-e576
    In: Neurology, Ovid Technologies (Wolters Kluwer Health), Vol. 97, No. 6 ( 2021-08-10), p. e564-e576
    Abstract: To explore the safety and efficacy of artificial coma induction to treat status epilepticus (SE) immediately after first-line antiseizure treatment instead of following the recommended approach of first using second-line drugs. Methods Clinical and electrophysiologic data of all adult patients treated for SE from 2017 to 2018 in the Swiss academic medical care centers from Basel and Geneva were retrospectively assessed. Primary outcomes were return to premorbid neurologic function and in-hospital death. Secondary outcomes were the emergence of complications during SE, duration of SE, and intensive care unit (ICU) and hospital stays. Results Of 230 patients, 205 received treatment escalation after first-line medication. Of those, 27.3% were directly treated with artificial coma and 72.7% with second-line nonanesthetic antiseizure drugs. Of the latter, 16.6% were subsequently put on artificial coma after failure of second-line treatment. Multivariable analyses revealed increasing odds for coma induction after first-line treatment with younger age, the presence of convulsions, and an increased SE severity as quantified by the Status Epilepticus Severity Score (STESS). While outcomes and complications did not differ compared to patients with treatment escalation according to the guidelines, coma induction after first-line treatment was associated with shorter SE duration and ICU and hospital stays. Conclusions Early induction of artificial coma is performed in more than every fourth patient and especially in younger patients presenting with convulsions and more severe SE. Our data demonstrate that this aggressive treatment escalation was not associated with an increase in complications but with shorter duration of SE and ICU and hospital stays. Classification of Evidence This study provides Class III evidence that early induction of artificial coma after unsuccessful first-line treatment for SE is associated with shorter duration of SE and ICU and hospital stays compared to the use of a second-line nonanesthetic antiseizure drug instead of or before anesthetics, without an associated increase in complications.
    Type of Medium: Online Resource
    ISSN: 0028-3878 , 1526-632X
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2021
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