A New Severity Scoring Scale for the 3-Minute Confusion Assessment Method (3D-CAM).
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ABSTRACT:
SUBMITTER: Vasunilashorn SM
PROVIDER: S-EPMC7429287 | biostudies-literature | 2020 Aug
REPOSITORIES: biostudies-literature
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A New Severity Scoring Scale for the 3-Minute Confusion Assessment Method (3D-CAM).
Vasunilashorn Sarinnapha M SM Devinney Michael J MJ Acker Leah L Jung Yoojin Y Ngo Long L Cooter Mary M Huang Richard R Marcantonio Edward R ER Berger Miles M
Journal of the American Geriatrics Society 20200601 8
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Project description:ObjectivesTo derive and validate a method for scoring delirium severity using a recently validated, brief, structured diagnostic interview for Confusion Assessment Method (CAM)-defined delirium (3D-CAM) and to demonstrate its agreement with the CAM Severity short form (CAM-S SF) as the reference standard.DesignDerivation and validation analysis in a prospective cohort study.SettingTwo academic medical centers.ParticipantsIndividuals aged 70 and older enrolled in the Successful Aging after Elective Surgery Study undergoing major elective noncardiac surgery (N = 566).MeasurementsThe sample was randomly divided into a derivation dataset (n = 377) and an independent validation dataset (n = 189). These datasets were used to develop a severity scoring method using the 3D-CAM based on the four-item CAM-S SF (3D-CAM-S) and evaluate agreement between the 3D-CAM-S and the traditional CAM-S SF using weighted kappa statistics.ResultsA method for scoring severity using 3D-CAM items was developed that achieved good agreement with the CAM-S SF in the derivation dataset (κ = 0.94, 95% confidence interval (CI) = 0.93-0.95). The 3D-CAM-S achieved nearly identical agreement in the independent validation dataset (κ = 0.93, 95% CI = 0.92-0.95), and 100% of 3D-CAM-S scores were within 1 point of the CAM-S SF score in both datasets. The 3D-CAM-S also strongly predicts clinical outcomes.ConclusionA newly developed method for scoring delirium severity using the 3D-CAM (the 3D-CAM-S) has excellent agreement with the CAM-S SF. This new methodology enables clinicians and researchers using the 3D-CAM for surveillance to measure delirium severity and monitor its course simultaneously by tracking changes over time. The 3D-CAM-S expands the utility of the 3D-CAM as an important tool for delirium recognition and management.
| S-EPMC4988867 | biostudies-literature
Project description:ObjectivesDelirium is a common and frequently underdiagnosed complication in acutely hospitalized patients, and its severity is associated with worse clinical outcomes. We propose a physiologically based method to quantify delirium severity as a tool that can help close this diagnostic gap: the Electroencephalographic Confusion Assessment Method Severity Score (E-CAM-S).DesignRetrospective cohort study.SettingSingle-center tertiary academic medical center.PatientsThree-hundred seventy-three adult patients undergoing electroencephalography to evaluate altered mental status between August 2015 and December 2019.InterventionsNone.Measurements and main resultsWe developed the E-CAM-S based on a learning-to-rank machine learning model of forehead electroencephalography signals. Clinical delirium severity was assessed using the Confusion Assessment Method Severity (CAM-S). We compared associations of E-CAM-S and CAM-S with hospital length of stay and inhospital mortality. E-CAM-S correlated with clinical CAM-S (R = 0.67; p < 0.0001). For the overall cohort, E-CAM-S and CAM-S were similar in their strength of association with hospital length of stay (correlation = 0.31 vs 0.41, respectively; p = 0.082) and inhospital mortality (area under the curve = 0.77 vs 0.81; p = 0.310). Even when restricted to noncomatose patients, E-CAM-S remained statistically similar to CAM-S in its association with length of stay (correlation = 0.37 vs 0.42, respectively; p = 0.188) and inhospital mortality (area under the curve = 0.83 vs 0.74; p = 0.112). In addition to previously appreciated spectral features, the machine learning framework identified variability in multiple measures over time as important features in electroencephalography-based prediction of delirium severity.ConclusionsThe E-CAM-S is an automated, physiologic measure of delirium severity that predicts clinical outcomes with a level of performance comparable to conventional interview-based clinical assessment.
| S-EPMC8678335 | biostudies-literature
Project description:OBJECTIVES:Delirium severity is independently associated with longer hospital stays, nursing home placement, and death in patients outside the ICU. Delirium severity in the ICU is not routinely measured because the available instruments are difficult to complete in critically ill patients. We designed our study to assess the reliability and validity of a new ICU delirium severity tool, the Confusion Assessment Method for the ICU-7 delirium severity scale. DESIGN:Observational cohort study. SETTING:Medical, surgical, and progressive ICUs of three academic hospitals. PATIENTS:Five hundred eighteen adult (? 18 yr) patients. INTERVENTIONS:None. MEASUREMENTS AND MAIN RESULTS:Patients received the Confusion Assessment Method for the ICU, Richmond Agitation-Sedation Scale, and Delirium Rating Scale-Revised-98 assessments. A 7-point scale (0-7) was derived from responses to the Confusion Assessment Method for the ICU and Richmond Agitation-Sedation Scale items. Confusion Assessment Method for the ICU-7 showed high internal consistency (Cronbach's ? = 0.85) and good correlation with Delirium Rating Scale-Revised-98 scores (correlation coefficient = 0.64). Known-groups validity was supported by the separation of mechanically ventilated and nonventilated assessments. Median Confusion Assessment Method for the ICU-7 scores demonstrated good predictive validity with higher odds (odds ratio = 1.47; 95% CI = 1.30-1.66) of in-hospital mortality and lower odds (odds ratio = 0.8; 95% CI = 0.72-0.9) of being discharged home after adjusting for age, race, gender, severity of illness, and chronic comorbidities. Higher Confusion Assessment Method for the ICU-7 scores were also associated with increased length of ICU stay (p = 0.001). CONCLUSIONS:Our results suggest that Confusion Assessment Method for the ICU-7 is a valid and reliable delirium severity measure among ICU patients. Further research comparing it to other delirium severity measures, its use in delirium efficacy trials, and real-life implementation is needed to determine its role in research and clinical practice.
| S-EPMC5392153 | biostudies-literature
Project description:BackgroundDelirium is an underdiagnosed condition and this may be related, among other causes, to the incorrect use of assessment tools due to lack of knowledge about cognitive assessment and lack of training of the care team. The aim of this study was to investigate the difficulties encountered by the nursing team in the application of the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) in patients on mechanical ventilation.MethodsThis is descriptive study with a qualitative approach in a private tertiary hospital located in northeast Brazil. Data collection took place from July 2018 to January 2019. We included 32 nurses and used face-to-face semi-structured interviews. The recorded data were analysed using content analysis. This study followed the recommendations of the Standards for Reporting Qualitative Research (SRQR).ResultsWe identified three major categories: lack of knowledge of professionals, subdivided into deficit in academic formation, difficulty in the differential diagnosis of delirium and delusion, and lack of knowledge about the steps of the CAM-ICU; difficulty in patient cooperation; and lack of adequate training to apply the CAM-ICU.ConclusionNurses have a deficit in academic formation on delirium and need adequate training for the correct and frequent use of the CAM-ICU.
| S-EPMC9685965 | biostudies-literature
Project description:ObjectiveTo examine the ability of the family-rated Family Confusion Assessment Method (FAM-CAM) to identify delirium in the emergency department (ED) among patients with and without dementia, as compared to the reference-standard Confusion Assessment Method (CAM).DesignValidation study.SettingUrban academic ED.ParticipantsDyads of ED patients, aged 70 years and older, and their family caregivers (N = 108 dyads).MeasurementsA trained reference standard interviewer performed a cognitive screen, delirium symptom assessment, and scored the CAM. The caregiver self-administered the FAM-CAM. Dementia was assessed using the Informant Questionnaire on Cognitive Decline in the Elderly and the medical record. For concurrent validity, performance of the FAM-CAM was compared to the CAM. For predictive validity, clinical outcomes (ED visits, hospitalization, and mortality) over 6 months were compared in FAM-CAM positive and negative patients, controlling for age, sex, comorbidity, and cognitive status.ResultsAmong the 108 patients, 30 (28%) were CAM positive for delirium and 58 (54%) presented with dementia. The FAM-CAM had a specificity of 83% and a negative predictive value of 83%. Most false negatives (n = 9 of 13, 69%) were due to caregivers not identifying the inattention criteria for delirium on the FAM-CAM. In patients with dementia, sensitivity was higher than in patients without (61% vs 43%). In adjusted models, a hospitalization in the following 6 months was more than three times as likely in FAM-CAM positive compared to negative patients (odds ratio = 3.4; 95% confidence interval = 1.2-9.3).ConclusionsAmong patients with and without dementia, the FAM-CAM shows qualities that are important in the ED setting for identification of delirium. Using the FAM-CAM as part of a systematic screening strategy for the ED, in which families' assessments could supplement healthcare professionals' assessments, is promising. J Am Geriatr Soc 68:983-990, 2020.
| S-EPMC7370702 | biostudies-literature
Project description:BackgroundDelirium is common, leads to other adverse outcomes, and is costly. However, it often remains unrecognized in most clinical settings. The Confusion Assessment Method (CAM) is the most widely used diagnostic algorithm, and operationalizing its features would be a substantial advance for clinical care.ObjectiveTo derive the 3D-CAM, a new 3-minute diagnostic assessment for CAM-defined delirium, and validate it against a clinical reference standard.DesignDerivation and validation study.Setting4 general medicine units in an academic medical center.Participants201 inpatients aged 75 years or older.Measurements20 items that best operationalized the 4 CAM diagnostic features were identified to create the 3D-CAM. For prospective validation, 3D-CAM assessments were administered by trained research assistants. Clinicians independently did an extensive assessment, including patient and family interviews and medical record reviews. These data were considered by an expert panel to determine the presence or absence of delirium and dementia (reference standard). The 3D-CAM delirium diagnosis was compared with the reference standard in all patients and subgroups with and without dementia.ResultsThe 201 participants in the prospective validation study had a mean age of 84 years, and 28% had dementia. The expert panel identified 21% with delirium, 88% of whom had hypoactive or normal psychomotor features. Median administration time for the 3D-CAM was 3 minutes (interquartile range, 2 to 5 minutes), sensitivity was 95% (95% CI, 84% to 99%), and specificity was 94% (CI, 90% to 97%). The 3D-CAM did well in patients with dementia (sensitivity, 96% [CI, 82% to 100%]; specificity, 86% [CI, 67% to 96%]) and without dementia (sensitivity, 93% [CI, 66% to 100%]; specificity, 96% [CI, 91% to 99%]).LimitationLimited to single-center, cross-sectional, and medical patients only.ConclusionThe 3D-CAM operationalizes the CAM algorithm using a 3-minute structured assessment with high sensitivity and specificity relative to a reference standard and could be an important tool for improving recognition of delirium.Primary funding sourceNational Institute on Aging.
| S-EPMC4319978 | biostudies-literature
Project description:Infants born preterm are at high risk of presenting neurodevelopmental delay. The Neurofunctional Assessment (NFA) describes infants’ neurodevelopment through the evaluation of six different domains. This study aimed to evaluate how, in a cohort of preterm infants, each NFA domain assessed at 3 months of corrected age (CA) was associated with neurodevelopment at 2 years of CA using the Griffiths Mental Developmental Scales Extended Revised (GMDS-ER). In addition, by introducing the NFA complexity score (CS), the study aimed to define a threshold that can help clinicians discriminate infants at higher risk of later neurodevelopmental delay. We conducted an observational, longitudinal study including 211 preterm infants. At 3 months of CA, infants who had normal scores in each domain showed a significantly higher GMDS-ER global quotient (GQ) at 2 years of CA. In addition, linear model results showed a significant negative relationship between the NFA CS and 2-year GMDS-ER GQ (estimate: − 0.27; 95% CI − 0.35, − 0.20; p value < 0.001). Each 10-point increase in the NFA CS was associated with an average 2.7-point decrease in the GMDS GQ. These results highlight how the NFA domains and NFA CS are compelling instruments for the early identification of children at risk for long-term adverse outcomes.
| S-EPMC9522729 | biostudies-literature
Project description:ImportanceThe variation in both clinical appearance and responses to diverse treatment options emphasize the importance of an accurate, clinically relevant, yet easy-to-use scoring system in hidradenitis suppurativa.ObjectiveTo propose and provide validation data for the newly designed Severity Assessment of Hidradenitis Suppurativa score.Design, setting, and participantsWe prospectively assessed disease severity using Hurley staging and the modified Hidradenitis Suppurativa Score in 355 patients referred to Ruhr-University Bochum Department of Dermatology between March 2016 and June 2017. We also assessed disease severity via the Severity Assessment of Hidradenitis Suppurativa score.Main outcomes and measuresEvaluation and assessment of convergent validity and responsiveness to treatment of the Severity Assessment of Hidradenitis Suppurativa score.ResultsEighty-eight of the 355 patients (134 [37.7%] men and 221 [62.3%] women with a median [IQR] age of 40 [30-49] years) were classified as Hurley stage I, 221 were Hurley stage II, and 46 were Hurley stage III, with an overall median modified Hidradenitis Suppurativa Score of 31 (interquartile range [IQR], 19.3-53). The median total Severity Assessment of Hidradenitis Suppurativa score was 6 (IQR, 4-9), significantly different among the 3 Hurley groups. The median SAHS score for patients in Hurley stage I was 5 (IQR, 3-6), 6 (IQR, 5-9) for patients in Hurley stage II, and 9 (IQR, 7-12) for patients in Hurley stage III (P < .001, Kruskal-Wallis test). Correlation analysis showed a significant correlation between the modified Hidradenitis Suppurativa Score and the Severity Assessment of Hidradenitis Suppurativa score (r = 0.79, P < .001). Disease severity assessment before and after 3 months of conservative systemic treatment showed a significant correlation between the Severity Assessment of Hidradenitis Suppurativa score and modified Hidradenitis Suppurativa Score. Both the mHSS (P = .001) and the SAHS score (P < .001) significantly differed between the baseline visit (median mHSS, 33 [IQR, 24-52]; median SAHS score, 6 [IQR, 5-9]) and the 3-month visit (median mHSS, 28 [IQR, 15-43.5]; median SAHS score, 5 [IQR, 4-6.3]). The 2 patient-reported items demonstrated excellent test-retest reliability with intraclass correlation coefficient values greater than 0.8.Conclusions and relevanceOur validation data demonstrated that the Severity Assessment of Hidradenitis Suppurativa score is a disease severity instrument that significantly correlates with Hurley staging and the modified Hidradenitis Suppurativa Score, and is responsive enough to measure treatment outcome.
| S-EPMC5885841 | biostudies-literature
Project description:In the intensive care unit (ICU), delirium is routinely measured with the widely-used, validated Confusion Assessment Method for the ICU (CAM-ICU), but CAM-ICU has not been studied in patients with cirrhosis. We studied a group of patients with cirrhosis to determine the relationship between delirium measured by CAM-ICU and clinical outcomes. Consecutive patients with cirrhosis admitted to the ICU from 2009 to 2012 were included in a retrospective cohort study. Patients were screened twice daily for coma and delirium during their ICU stay using the Richmond Agitation Sedation Scale (RASS) and CAM-ICU. The association between delirium/coma and mortality was determined using multiple logistic regression. RASS and CAM-ICU were also compared to a retrospective assessment of hepatic encephalopathy (HE). Of 91 patients with cirrhosis, 26 (28.6 %) developed delirium/coma. RASS/CAM-ICU had fair agreement with the HE assessment (? 0.38). Patients with delirium/coma had numerically greater mortality in-hospital (23.1 vs. 7.7 %, p?=?0.07) and at 90 days (30.8 vs. 18.5 %, p?=?0.26), and they also had longer hospital length of stay (median 19.5 vs. 6 days, p?<?0.001). Delirium/coma was associated with increased inpatient mortality, independent of disease severity (unadjusted OR 3.6; 95 % CI, 0.99-13.1; MELD-adjusted OR 5.4; 95 % CI, 1.3-23.8; acute physiology score-adjusted OR 2.2; 95 % CI, 0.53-8.9). Delirium/coma was also associated with longer length of stay after adjusting for disease severity. In critically ill patients with cirrhosis, delirium/coma as measured by the RASS and CAM-ICU is associated with increased mortality and hospital length of stay. For these patients, these measures provide valuable information and may be useful tools for clinical care. RASS and CAM-ICU need to be compared to HE-specific measures in future studies.
| S-EPMC4492810 | biostudies-literature
Project description:Aim:Delirium is associated with various negative clinical outcomes, such as decline in cognitive ability, increased length of hospital stay, and higher mortality. For these reasons, early diagnosis of delirium is critical. Unfortunately, there are no reliable diagnostic criteria or tool of delirium for infants and preschool-aged children in Japan.The aim of the present study was to translate a new delirium assessment tool, the Preschool Confusion Assessment Method for the Intensive Care Unit (psCAM-ICU), for accurately diagnosing clinically ill infants and preschool-aged children, from English to Japanese. Methods:The translation was undertaken with the internationally established back-translation method. The translation was repeated blindly and independently by eight medical researchers and clinicians from multiple disciplines. Any discrepancy evident from the translated works was discussed and resolved. Results:We report the successful development of the Japanese version of psCAM-ICU. However, before its full application, this diagnostic tool requires further testing and study, most notably for its validation and reliability. Conclusion:A Japanese version of the psCAM-ICU was developed.
| S-EPMC5797841 | biostudies-literature