P3-093: Characteristics of mini-mental status examination in subtype of mild cognitive impairment: Using a decision tree analysis

2011 ◽  
Vol 7 ◽  
pp. S543-S543
Author(s):  
Moon Ho Park ◽  
Joo Young Min ◽  
Hae Ri Na ◽  
Kun-Woo Park
2019 ◽  
Author(s):  
Daniel Davis

Acute hospitals have seen unprecedented demographic changes, where older age, frailty and cognitive impairment now characterise the majority of health service users. Delirium is very common in this setting, and adverse outcomes are well described. However, studies investigating cognitive outcomes after delirium in unselected samples have been lacking. This thesis had four objectives: (1) To estimate the prevalence of delirium in the general population (2) To assess the association of delirium with cognitive outcomes (3) To investigate how these associations relate to underlying dementia pathology (4) To develop novel methods for retrospectively ascertaining delirium.Methods:Data from three population-based neuropathology cohort studies were used: Vantaa 85+; Cambridge City over-75s Cohort (CC75C); MRC Cognitive Function and Ageing Study (CFAS).(1) To ascertain the prevalence of delirium in the general population, a measure of delirium was developed using data recorded in standardised interview schedules, with criterion validity evaluated through the association with mortality and dementia risk.(2) The association with cognitive outcomes was tested in a series of logistic regression models, where delirium was the exposure and dementia (or worsening dementia severity) was the outcome. In addition, the association with change in Mini-Mental Status Examination (MMSE) score was assessed using random-effects linear regression.(3) In brain donors from all three cohorts, the independent effects of delirium, dementia pathology, and their interaction, were investigated using the same approach.(4) A chart-based method for deriving a retrospective diagnosis for delirium was developed, validated against bedside psychiatrist diagnosis. Vignettes from the medical record were abstracted and delirium status decided by expert consensus panel.Results:(1) Age-specific prevalence in CFAS increased with age from 1.8% in the 65-69 year age group to 13.5% in the ≥90 age group (p<0.01 for trend).(2) Delirium was consistently associated with adverse cognitive outcomes: new dementia (OR 8.7, 95% CI 2.1 to 35); worsening dementia severity (OR 3.1, 95% CI 1.5 to 6.3); faster change in Mini-Mental Status Examination (MMSE) score (1.0 additional points/year, p<0.01)(3) In the neuropathology analyses, decline attributable to delirium was -0.37 MMSE points/year (p<0.01). Decline attributable to dementia pathology was -0.39 MMSE points/year (p<0.01). However, the combination of delirium and dementia pathology resulted in the greatest decline, where the interaction contributed a further -0.16 MMSE points/year (p=0.01), suggesting that delirium worsened cognitive trajectories in dementia, but through distinct pathophysiological pathways not accounted for by Alzheimer’s, vascular or Lewy body pathology.(4) The chart abstraction method yielded a sensitivity of 0.88 and specificity 0.75 for ‘possible delirium’, with lower sensitivity (0.58) and higher specificity (0.93) for ‘probable delirium’ (AUC 0.86, 95% CI 0.82 to 0.89).This thesis adds to the small body of work on delirium in prospective studies, with the first ever analyses conducted in whole populations. The findings suggest new possibilities regarding the pathology of cognitive impairment, positioning delirium and/or its precipitants as a critically inter-related mechanism.


Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1094
Author(s):  
Michael Wong ◽  
Nikolaos Thanatsis ◽  
Federica Nardelli ◽  
Tejal Amin ◽  
Davor Jurkovic

Background and aims: Postmenopausal endometrial polyps are commonly managed by surgical resection; however, expectant management may be considered for some women due to the presence of medical co-morbidities, failed hysteroscopies or patient’s preference. This study aimed to identify patient characteristics and ultrasound morphological features of polyps that could aid in the prediction of underlying pre-malignancy or malignancy in postmenopausal polyps. Methods: Women with consecutive postmenopausal polyps diagnosed on ultrasound and removed surgically were recruited between October 2015 to October 2018 prospectively. Polyps were defined on ultrasound as focal lesions with a regular outline, surrounded by normal endometrium. On Doppler examination, there was either a single feeder vessel or no detectable vascularity. Polyps were classified histologically as benign (including hyperplasia without atypia), pre-malignant (atypical hyperplasia), or malignant. A Chi-squared automatic interaction detection (CHAID) decision tree analysis was performed with a range of demographic, clinical, and ultrasound variables as independent, and the presence of pre-malignancy or malignancy in polyps as dependent variables. A 10-fold cross-validation method was used to estimate the model’s misclassification risk. Results: There were 240 women included, 181 of whom presented with postmenopausal bleeding. Their median age was 60 (range of 45–94); 18/240 (7.5%) women were diagnosed with pre-malignant or malignant polyps. In our decision tree model, the polyp mean diameter (≤13 mm or >13 mm) on ultrasound was the most important predictor of pre-malignancy or malignancy. If the tree was allowed to grow, the patient’s body mass index (BMI) and cystic/solid appearance of the polyp classified women further into low-risk (≤5%), intermediate-risk (>5%–≤20%), or high-risk (>20%) groups. Conclusions: Our decision tree model may serve as a guide to counsel women on the benefits and risks of surgery for postmenopausal endometrial polyps. It may also assist clinicians in prioritizing women for surgery according to their risk of malignancy.


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