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1.
PLoS One ; 19(5): e0302888, 2024.
Article in English | MEDLINE | ID: mdl-38739670

ABSTRACT

BACKGROUND: Delirium is a major cause of preventable mortality and morbidity in hospitalized adults, but accurately determining rates of delirium remains a challenge. OBJECTIVE: To characterize and compare medical inpatients identified as having delirium using two common methods, administrative data and retrospective chart review. METHODS: We conducted a retrospective study of 3881 randomly selected internal medicine hospital admissions from six acute care hospitals in Toronto and Mississauga, Ontario, Canada. Delirium status was determined using ICD-10-CA codes from hospital administrative data and through a previously validated chart review method. Baseline sociodemographic and clinical characteristics, processes of care and outcomes were compared across those without delirium in hospital and those with delirium as determined by administrative data and chart review. RESULTS: Delirium was identified in 6.3% of admissions by ICD-10-CA codes compared to 25.7% by chart review. Using chart review as the reference standard, ICD-10-CA codes for delirium had sensitivity 24.1% (95%CI: 21.5-26.8%), specificity 99.8% (95%CI: 99.5-99.9%), positive predictive value 97.6% (95%CI: 94.6-98.9%), and negative predictive value 79.2% (95%CI: 78.6-79.7%). Age over 80, male gender, and Charlson comorbidity index greater than 2 were associated with misclassification of delirium. Inpatient mortality and median costs of care were greater in patients determined to have delirium by ICD-10-CA codes (5.8% greater mortality, 95% CI: 2.0-9.5 and $6824 greater cost, 95%CI: 4713-9264) and by chart review (11.9% greater mortality, 95%CI: 9.5-14.2% and $4967 greater cost, 95%CI: 4415-5701), compared to patients without delirium. CONCLUSIONS: Administrative data are specific but highly insensitive, missing most cases of delirium in hospital. Mortality and costs of care were greater for both the delirium cases that were detected and missed by administrative data. Better methods of routinely measuring delirium in hospital are needed.


Subject(s)
Delirium , International Classification of Diseases , Humans , Delirium/diagnosis , Delirium/epidemiology , Male , Female , Aged , Retrospective Studies , Middle Aged , Aged, 80 and over , Ontario/epidemiology , Hospitalization , Cohort Studies
2.
J Med Educ Curric Dev ; 7: 2382120519893989, 2020.
Article in English | MEDLINE | ID: mdl-32064357

ABSTRACT

BACKGROUND: Formal goal-setting has been shown to enhance performance and improve educational experiences. We initiated a standardized goal-setting intervention for all residents rotating through a Geriatric Medicine rotation. OBJECTIVES: This study aims to describe the feasibility of a goal-setting intervention on a geriatric medicine rotation, the resources required, and the barriers to implementation. As well, this study aims to describe the learning goals residents created regarding content and quality. METHODS: A pilot goal-setting intervention was initiated. A goal-setting form was provided at the beginning of their rotation and reviewed at the end of the rotation. Residents were invited to complete an anonymous online survey to gather feedback on the initiative. Goals were analysed for content and quality. Feedback from the survey results was incorporated into the goal-setting process. RESULTS: Between March and December 2018, 26 of 44 residents completed the goal-setting initiative. Explanations for the poor adherence included limited protected time for faculty and residents to engage in coaching, its voluntary nature, and trainee absence during orientation. Reasons for difficulty in achieving goals included lack of faculty and trainee time and difficulty assisting residents in achieving goals when no clinical opportunities arose. Although only 59% of residents completed the intervention, if goal-setting took place, most of the goals were specific (71 of 77; 92%) and 35 of 77 (45.5%) goals were not related to medical knowledge. CONCLUSIONS: This pilot study outlines the successes and barriers of a brief goal-setting intervention during a Geriatric Medicine rotation. Adherence was limited; however, of those who did complete the intervention, the creation of specific goals with a short, structured goal-setting form was possible. To enhance the intervention, goal-setting form completion should be enforced and efforts should be made to engage in mid-rotation check-ins and coaching.

3.
Clin Interv Aging ; 14: 841-848, 2019.
Article in English | MEDLINE | ID: mdl-31190770

ABSTRACT

Background: Current surgical risk assessment tools fall short of appreciating geriatric risk factors including cognitive deficits, depressive, and frailty symptoms that may worsen outcomes post-transcatheter aortic valve implantation (TAVI). This study hypothesized that a screening tool, SMARTIE, would improve detection of these risks pre-TAVI, and thus be predictive of postoperative delirium (POD) and 30-day mortality post-TAVI. Design: Prospective observational cohort study, using a historical cohort for comparison. Participants: A total of 234 patients (age: 82.2±6.7 years, 59.4% male) were included. Half were screened using SMARTIE. Methods: The SMARTIE cohort was assessed for cognitive deficits and depressive symptoms using the Mini-Cog test and PHQ-2, respectively. Measures of frailty included activities of daily living inventory, the Timed Up and Go test and grip strength. For the pre-SMARTIE cohort, we extracted cognitive deficits, depression and frailty symptoms from clinic charts. The incidence of POD and 30-day mortality were recorded. Bivariate chi-square analysis or t-tests were used to report associations between SMARTIE and pre-SMARTIE groups. Multivariable logistic regression models were employed to identify independent predictors of POD and 30-day mortality. Results: More patients were identified with cognitive deficits (χ2=11.73, p=0.001), depressive symptoms (χ2=8.15, p=0.004), and physical frailty (χ2=5.73, p=0.017) using SMARTIE. Cognitive deficits were an independent predictor of POD (OR: 8.4, p<0.01) and 30-day mortality (OR: 4.04, p=0.03). Conclusion: This study emphasized the value of screening for geriatric risk factors prior to TAVI by demonstrating that screening increased identification of at-risk patients. It also confirmed findings that cognitive deficits are predictive of POD and mortality following TAVI.


Subject(s)
Cognition Disorders/diagnosis , Depression/diagnosis , Frail Elderly , Frailty/diagnosis , Geriatric Assessment/methods , Transcatheter Aortic Valve Replacement/statistics & numerical data , Activities of Daily Living , Age Factors , Aged , Aged, 80 and over , Chi-Square Distribution , Female , Humans , Incidence , Logistic Models , Male , Postural Balance , Prospective Studies , Risk Assessment , Risk Factors , Time Factors
4.
Can Geriatr J ; 21(3): 210-217, 2018 Sep.
Article in English | MEDLINE | ID: mdl-30271509

ABSTRACT

We present the top 11 articles in geriatric medicine in the past two years. The topics range from new diagnostic criteria for Lewy Body dementia, advances in biomarker diagnosis of Alzheimer's disease, a major review of dementia and risk factors, the optimal cutoff for the Montreal Cognitive Assessment, antipsychotics in delirium prevention, mobilization of inpatients, intensive blood pressure treatment and statin therapy for primary prevention in older adults, and comprehensive geriatric assessment in vascular surgery and non-small cell lung cancer.

5.
J Am Geriatr Soc ; 66(2): 254-262, 2018 02.
Article in English | MEDLINE | ID: mdl-29159840

ABSTRACT

OBJECTIVES: To quantitatively summarize changes in cognitive performance in individuals with severe aortic stenosis undergoing transcatheter aortic valve implantation (TAVI). DESIGN: Metaanalysis. PARTICIPANTS: Individuals undergoing TAVI (N = 1,065 (48.5% male) from 18 studies, average age ≥80). MEASUREMENTS: The MEDLINE, EMBASE, and Cochrane Central databases were searched for original peer-reviewed reports assessing cognitive performance using standardized cognitive tests before and after TAVI. Data were extracted for cognitive scores before TAVI; perioperatively (within 7 days after TAVI); 1, 3, and 6 months after TAVI, and 12 to 34 months after TAVI (over the long term). Standardized mean differences (SMDs) were generated using random-effects models for changes in cognition at each time point. Metaregression analyses were conducted to assess the association between population and procedural characteristics and cognitive outcomes. Risk of bias was assessed. RESULTS: There were no significant changes from baseline in perioperative cognitive performance (SMD = 0.05, 95% confidence interval (CI) = -0.08-0.18; z = 0.75, P = .46), although overall cognitive performance had improved significantly 1 month after TAVI (SMD = -0.33, 95% CI = -0.50 to -0.16; z = 3.83, P < .001). There were no differences in cognitive performance 3 and 6 months after TAVI or over the long term. Cognitive outcomes were not associated with any covariates in regression analyses. CONCLUSION: Cognitive performance is preserved after TAVI, suggesting TAVI is not detrimental to cognition.


Subject(s)
Aortic Valve Stenosis/surgery , Aortic Valve/surgery , Cognition/physiology , Transcatheter Aortic Valve Replacement , Aged, 80 and over , Female , Humans , Male , Neuropsychological Tests/statistics & numerical data , Risk Factors
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