scholarly journals Course and Recognition of Poststroke Delirium

Stroke ◽  
2020 ◽  
Author(s):  
Robert Fleischmann ◽  
Sina Warwas ◽  
Tina Andrasch ◽  
Rhina Kunz ◽  
Carl Witt ◽  
...  
Keyword(s):  
Mental Disorders ◽  
Odds Ratio ◽  
Confusion Assessment Method ◽  
Assessment Method ◽  
National Institutes Of Health ◽  
Screening Tools ◽  
Neurological Deficits ◽  
Statistical Manual ◽  
Diagnostic And Statistical Manual ◽  
Confusion Assessment

Background and Purpose: Poststroke delirium (PSD) is an independent predictor of unfavorable outcome. Despite its individual and socioeconomic burden, its frequency, clinical course, and routine detection remain unresolved. This study aimed to assess psychometric properties of established delirium screening tools and investigate the natural course of PSD. Methods: This study investigated patients presenting with high-risk transient ischemic attacks or ischemic stroke within 24 hours during a 3-month period. Twice-daily screenings for PSD were done using the confusion assessment method, nursing delirium scale, and rapid delirium assessment, and evaluated for noninferiority against Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition criteria. We investigated demographic and stroke characteristics as predictors of PSD, neurological deficits as predictors of false screening results, and conducted a simulation study to estimate the best timing to identify PSD. Results: We enrolled 141 patients (73.8±10.4 years of age, 61 female) with a mean National Institutes of Health Stroke Scale score of 6.4±6.5. Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition based PSD incidence was 39%, which manifested within 24 hours in 25% and 72 hours in almost all cases. The confusion assessment method was the only screening tool noninferior to Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition ratings providing a sensitivity of 82% and specificity of 80%. Age (odds ratio, 1.07 [1.02–1.13] per year, P =0.004) and National Institutes of Health Stroke Scale (odds ratio, 1.24 [1.15–1.34] per point, P <0.001) were predictors of PSD. False-positive screening results were associated with stroke-induced disorientation (odds ratio, 6.1 [3.2–11.61], P <0.001) and neglect (odds ratio, 2.17 [1.22–3.87], P =0.008). Simulations revealed that one in 4 cases is missed with less than daily screenings. Conclusions: PSD is a common complication of stroke and transient ischemic attack. Detection is challenged by confounding effects such as focal neurological deficits and the necessity for at least daily screenings. Future studies are required to investigate implementation of these findings in clinical routine. REGISTRATION: URL: https://www.clinicaltrials.gov . Unique identifier: NCT03930719.

scholarly journals Use of the brief Confusion Assessment Method in a veteran palliative care population: A pilot validation study

2019 ◽  
Vol 17 (5) ◽  
pp. 569-573
Author(s):  
Jo Ellen Wilson ◽  
Leanne Boehm ◽  
Lauren R. Samuels ◽  
Deborah Unger ◽  
Martha Leonard ◽  
...  
Keyword(s):  
Palliative Care ◽  
Mental Disorders ◽  
Care Service ◽  
Palliative Care Service ◽  
Confusion Assessment Method ◽  
Assessment Method ◽  
Medical Decision ◽  
Statistical Manual ◽  
Diagnostic And Statistical Manual ◽  
Confusion Assessment

AbstractObjectiveMany patients with advanced serious illness or at the end of life experience delirium, a potentially reversible form of acute brain dysfunction, which may impair ability to participate in medical decision-making and to engage with their loved ones. Screening for delirium provides an opportunity to address modifiable causes. Unfortunately, delirium remains underrecognized. The main objective of this pilot was to validate the brief Confusion Assessment Method (bCAM), a two-minute delirium-screening tool, in a veteran palliative care sample.MethodThis was a pilot prospective, observational study that included hospitalized patients evaluated by the palliative care service at a single Veterans’ Administration Medical Center. The bCAM was compared against the reference standard, the Diagnostic and Statistical Manual of Mental Disorders, fifth edition. Both assessments were blinded and conducted within 30 minutes of each other.ResultWe enrolled 36 patients who were a median of 67 years (interquartile range 63–73). The primary reasons for admission to the hospital were sepsis or severe infection (33%), severe cardiac disease (including heart failure, cardiogenic shock, and myocardial infarction) (17%), or gastrointestinal/liver disease (17%). The bCAM performed well against the Diagnostic and Statistical Manual of Mental Disorders, fifth edition, for detecting delirium, with a sensitivity (95% confidence interval) of 0.80 (0.4, 0.96) and specificity of 0.87 (0.67, 0.96).Significance of ResultsDelirium was present in 27% of patients enrolled and never recognized by the palliative care service in routine clinical care. The bCAM provided good sensitivity and specificity in a pilot of palliative care patients, providing a method for nonpsychiatrically trained personnel to detect delirium.

Decreasing Inappropriate Unable-to-Assess Ratings for the Confusion Assessment Method for the Intensive Care Unit

2014 ◽  
Vol 23 (1) ◽  
pp. 60-69 ◽  
Author(s):  
Joshua T. Swan
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Odds Ratio ◽  
Academic Medical Center ◽  
Confusion Assessment Method ◽  
Assessment Method ◽  
Confusion Assessment ◽  
Surgical Icu ◽  
Educational Campaign ◽  
To Receive

Background The Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) is a validated tool for diagnosing delirium in the ICU and yields 1 of 3 ratings: positive, negative, and unable to assess (UTA). It was hypothesized that an educational campaign focused on establishing patients’ arousal as comatose versus noncomatose before initiating the CAM-ICU would decrease the incidence of inappropriate UTA ratings. Objectives To compare the incidence of inappropriate UTA ratings before and after an educational campaign. Methods An interventional, quasi-experimental study was conducted in a surgical ICU at a tertiary academic medical center. A nursing educational campaign was conducted from March 1 to March 7, 2012. Patients admitted to the surgical ICU from December 25, 2011 through January 25, 2012 were included in the baseline cohort, and patients admitted from March 9 through April 9, 2012 were included in the posteducation cohort. Inclusion criteria were admission to the surgical ICU for at least 24 hours and at least 1 CAM-ICU assessment. Results The baseline cohort included 93 patients and the posteducation cohort included 96 patients. Patients were 41% less likely to receive an inappropriate UTA rating after the educational campaign (32% [30 of 93] baseline vs 19% [18 of 96], P = .03). Patients with concurrent mechanical ventilation were more likely to receive an inappropriate UTA rating in the baseline cohort (odds ratio, 30.7; 95% CI, 8.9–105.9; P &lt; .001) and the posteducation cohort (odds ratio, 15.5; 95% CI, 4.1–59.5; P &lt; .001). Conclusion The educational campaign decreased the incidence of inappropriate UTA ratings.

scholarly journals Validation of the Malay 3-Minute Diagnostic Interview for Confusion Assessment Method in a surgical population

2021 ◽  
Vol 26 (4) ◽  
pp. 721-729
Author(s):  
Pui San Loh ◽  
Yi Zhe Chin ◽  
Jia Wen Lee ◽  
Angelvene Wong ◽  
Marzida Mansor ◽  
...  
Keyword(s):  
Confusion Assessment Method ◽  
Assessment Method ◽  
Diagnostic Interview ◽  
Surgical Patients ◽  
Diagnostic Study ◽  
Diagnostic And Statistical Manual ◽  
Confusion Assessment ◽  
Dsm 5 ◽  
Diagnostic Characteristics ◽  
Postoperative Setting

Background: Delirium is a common postoperative complication among elderly which can be easily missed and leads to poorer outcomes. The 3-Minute Diagnostic Assessment for Confusion Assessment Method (3D-CAM) is a short and structured tool to assess delirium by healthcare staff with minimal training. This study aimed to validate the translated Malay 3D-CAM (M3D-CAM) in postoperative surgical patients. Methods: In this prospective diagnostic study, 3D-CAM was translated into Malay and two assessors (1 and 2) independently interviewed surgical patients above 65 years old with M3D-CAM on postoperative day one. A psychiatrist diagnosed postoperative delirium according to the Diagnostic and Statistical Manual of Mental Disorders 5th Edition (DSM-5) as the reference standard. The sequence of examinations was done randomly with all results blinded to each other and the diagnostic characteristics of M3D-CAM analysed with k coefficient used to evaluate reliability. Results: A total of 427 patients were screened, 111 recruited with a final 100 paired interviews completed. Their mean age was 72 (± 6) years old. Two-thirds of patients were proficient in Malay and English, therefore assessed in both 3D-CAM and M3D-CAM. Delirium was identified in 11% and 12% of patients by assessors 1 and 2 respectively while compared to DSM-5, M3D-CAM had 80% and 90% sensitivity with 96.7% and 97.7% specificity. M3D-CAM had excellent inter-rater reliability (85%), substantial parallel reliability (70%) and features 1 and 3 with substantial parallel agreement (p <0.001). Conclusion: This study demonstrated that M3D-CAM is reliable and valid for delirium assessment in the postoperative setting.

scholarly journals Stroke and Disorders of Consciousness

2012 ◽  
Vol 2012 ◽  
pp. 1-4 ◽  
Author(s):  
Zikrija Dostović ◽  
Dževdet Smajlović ◽  
Ernestina Dostović ◽  
Omer Ć. Ibrahimagić
Keyword(s):  
Mental Disorders ◽  
Glasgow Coma Scale ◽  
Disorders Of Consciousness ◽  
National Institutes Of Health ◽  
Severe Stroke ◽  
Statistical Manual ◽  
Coma Scale ◽  
Diagnostic And Statistical Manual ◽  
Disturbance Of Consciousness

Objectives. To determine the severity of stroke and mortality in relation to the type of disturbance of consciousness and outcome of patients with disorders of consciousness. Patients and Methods. We retrospectively analyzed 201 patients. Assessment of disorders of consciousness is performed by Glasgow Coma Scale (Teasdale and Jennet, 1974) and the Diagnostic and Statistical Manual of Mental Disorders (Anonymous, 2000). The severity of stroke was determined by National Institutes of Health Stroke Scale (Lyden et al., 2011). Results. Fifty-four patients had disorders of consciousness (26.9%). Patients with disorders of consciousness on admission (P<0.001) and discharge (P=0.003) had a more severe stroke than patients without disturbances of consciousness. Mortality was significantly higher in patients with disorders of consciousness (P=0.0001), and there was no difference in mortality in relation to the type of disturbance of consciousness. There is no statistically significant effect of specific predictors of survival in patients with disorders of consciousness. Conclusion. Patients with disorders of consciousness have a more severe stroke and higher mortality. There is no difference in mortality and severity of stroke between patients with quantitative and qualitative disorders of consciousness. There is no statistically significant effect of specific predictors of survival in patients with disorders of consciousness.

Delir-Diagnostik

2007 ◽  
Vol 20 (2-3) ◽  
pp. 135-139
Author(s):  
B. Dittrich ◽  
G. Gatterer ◽  
T. Frühwald ◽  
U. Sommeregger
Keyword(s):  
Confusion Assessment Method ◽  
Assessment Method ◽  
Psychische Störung ◽  
Confusion Assessment

Zusammenfassung: Das Delir (“akuter Verwirrtheitszustand”) bezeichnet eine psychische Störung, die plötzlich auftritt, durch eine rasche Fluktuation von Bewusstseinslage und Aufmerksamkeitsleistung gekennzeichnet ist und eine organische Ursache hat. Dieses Störungsbild nimmt bei Patienten im höheren Lebensalter deutlich an Häufigkeit zu und verursacht durch verlängerte Krankenhausaufenthalte und ungünstige Krankheitsverläufe erhebliche Kosten im Gesundheitssystem. Daher erscheint eine möglichst frühe Erkennung deliranter Zustandsbilder gerade im Rahmen der Geriatrie von großer Bedeutung. Zu diesem Zweck wurde eine deutsche Version der international weit verbreiteten Confusion Assessment Method entwickelt, die für die Bedürfnisse einer Abteilung für Akutgeriatrie modifiziert wurde. Dargestellt werden die Entwicklung und erste Erfahrungen mit diesem Instrument.

Angststörungen – von der ICD-10 zur ICD-11

2020 ◽  
pp. 1-5
Author(s):  
Timo D. Vloet ◽  
Marcel Romanos
Keyword(s):  
Mental Disorders ◽  
International Classification Of Diseases ◽  
International Classification ◽  
Statistical Manual ◽  
Diagnostic And Statistical Manual ◽  
Dsm 5 ◽  
Classification Of Diseases ◽  
Icd 10

Zusammenfassung. Hintergrund: Nach 12 Jahren Entwicklung wird die 11. Version der International Classification of Diseases (ICD-11) von der Weltgesundheitsorganisation (WHO) im Januar 2022 in Kraft treten. Methodik: Im Rahmen eines selektiven Übersichtsartikels werden die Veränderungen im Hinblick auf die Klassifikation von Angststörungen von der ICD-10 zur ICD-11 zusammenfassend dargestellt. Ergebnis: Die diagnostischen Kriterien der generalisierten Angststörung, Agoraphobie und spezifischen Phobien werden angepasst. Die ICD-11 wird auf Basis einer Lebenszeitachse neu organisiert, sodass die kindesaltersspezifischen Kategorien der ICD-10 aufgelöst werden. Die Trennungsangststörung und der selektive Mutismus werden damit den „regulären“ Angststörungen zugeordnet und können zukünftig auch im Erwachsenenalter diagnostiziert werden. Neu ist ebenso, dass verschiedene Symptomdimensionen der Angst ohne kategoriale Diagnose verschlüsselt werden können. Diskussion: Die Veränderungen im Bereich der Angsterkrankungen umfassen verschiedene Aspekte und sind in der Gesamtschau nicht unerheblich. Positiv zu bewerten ist die Einführung einer Lebenszeitachse und Parallelisierung mit dem Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Schlussfolgerungen: Die entwicklungsbezogene Neuorganisation in der ICD-11 wird auch eine verstärkte längsschnittliche Betrachtung von Angststörungen in der Klinik sowie Forschung zur Folge haben. Damit rückt insbesondere die Präventionsforschung weiter in den Fokus.

3-Minute Diagnostic Interview for Confusion Assessment Method--Chinese Version

2020 ◽  
Author(s):  
Dong-Liang Mu ◽  
Pan-Pan Ding ◽  
Shu-Zhe Zhou ◽  
Mei-Jing Liu ◽  
Xin-Yu Sun ◽  
...  
Keyword(s):  
Confusion Assessment Method ◽  
Assessment Method ◽  
Diagnostic Interview ◽  
Chinese Version ◽  
Confusion Assessment
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