scholarly journals Accuracy of the Informant Questionnaire on Cognitive Decline in the Elderly for Detecting Preexisting Dementia in Transient Ischemic Attack and Stroke

Stroke ◽  
2021 ◽  
Vol 52 (4) ◽  
pp. 1283-1290
Author(s):  
Astrid C. van Nieuwkerk ◽  
Sarah T. Pendlebury ◽  
Peter M. Rothwell ◽  
Keyword(s):  
Receiver Operating Characteristic Curve ◽  
Receiver Operating Characteristic ◽  
Transient Ischemic Attack ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
The Elderly ◽  
Operating Characteristic Curve ◽  
Ischemic Attack ◽  
Prestroke Dementia ◽  
Receiver Operating

Background and Purpose: Prestroke dementia prevalence is high and impacts outcome. Although the IQCODE (Informant Questionnaire on Cognitive Decline in the Elderly) is being used to assess prestroke cognition, data on its validity for prestroke dementia are lacking. We studied the accuracy of the short-form (16-item) IQCODE for pre-event dementia in a population-based study of all transient ischemic attack (TIA)/stroke. Methods: All patients with TIA/stroke in a defined population of ≈92 720 (Oxford Vascular Study, 2002–2017) with IQCODE were included. IQCODE questionnaires were given to participants at baseline interview with instructions to pass to an informant for completion and return by post. Diagnosis of pre-event dementia was defined as prior diagnosis of dementia, or dementia by the Diagnostic and Statistical Manual of Mental Disorders-IV criteria on study interview and hand-searching of the entire medical record blinded to IQCODE. Reliability of the IQCODE for dementia was determined by the area under the receiver operating characteristic curve, sensitivity and specificity, stratified by age, event severity, and first-ever stroke. Results: Among 2059 interviewed survivors, IQCODE were returned in 1068 (mean age/SD=72.9/12.3, 47% TIA, 52.3% male, 68 [6.4%] pre-event dementia). Area under the receiver operating characteristic curve for IQCODE for pre-event dementia was 0.94 (95% CI, 0.90–0.97, P <0.001) with similar results by age: 0.92, 0.88 to 0.96, <65 years; 0.94, 0.83 to 1.00, 65 to 74 years; 0.95, 0.92 to 0.99, 75 to 84 years; 0.89, 0.82 to 0.96, ≥85 years. The optimal cutoff score overall was >3.48 (sensitivity=89.7%; specificity=84.2%) but was nonsignificantly higher for major stroke (National Institutes of Health Stroke Scale score ≥3) than minor stroke/TIA (>3.85 versus >3.47). Performance was similar in patients with first-ever stroke (area under the receiver operating characteristic curve, 0.92 [0.88–0.97]; sensitivity=85.7%; specificity=84.8% for cutoff >3.48). All 16-IQCODE questions discriminated between dementia and no dementia (all P <0.001) with the greatest differences seen for finances, using gadgets, arithmetic, and learning new things. Conclusions: IQCODE has excellent accuracy for detecting preexisting dementia in TIA and stroke with the pattern of deficits suggesting prominent executive dysfunction.

scholarly journals Alcohol screening instruments in elderly male: a population-based survey in metropolitan São Paulo, Brazil

2011 ◽  
Vol 33 (4) ◽  
pp. 347-352 ◽  
Author(s):  
Janaina Barbosa de Oliveira ◽  
Jair Lício Ferreira Santos ◽  
Florence Kerr-Corrêa ◽  
Maria Odete Simão ◽  
Maria Cristina Pereira Lima
Keyword(s):  
General Population ◽  
Receiver Operating Characteristic Curve ◽  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
The Elderly ◽  
Screening Instruments ◽  
Elderly Male ◽  
Operating Characteristic Curve ◽  
Receiver Operating

OBJECTIVE: This study compares the efficacy of the AUDIT (gold standard) with the more easily and quickly applied instruments CAGE, TWEAK, and T-ACE for men aged > 60 using data from a representative stratified sample of the general population of metropolitan São Paulo. METHOD: The GENACIS questionnaire was administered to a total sample of 2,083 people aged over 18, with a response rate of 74.5%. The elderly male sample consisted of 169 men. Sensitivity, specificity, positive and negative predictive values, area under the receiver operating characteristic curve, and confidence intervals were calculated for each instrument (95% CI). RESULTS: Respondents were predominantly married (81.7%), had up to 11 years of education (61.3%) and a monthly per capita income of up to 300 US dollars. Current abstinence rate was high (61.6%) and 38% reported being former drinkers. There were no statistically significant differences among the instruments tested; however, the TWEAK had a higher area under the receiver operating characteristic curve (95% CI; 0.90-0.99). CONCLUSION: Research in the general population with screening instruments is scarce, especially among the elderly. However, it can provide specific information concerning this age group and be useful in the formulation of policies and prevention strategies.

A validated novel preoperative index to predict the extent of intraperitoneal contamination in patients with acute abdominal pathology: A cohort study

2019 ◽  
Vol 30 (7-8) ◽  
pp. 221-228
Author(s):  
Shahab Hajibandeh ◽  
Shahin Hajibandeh ◽  
Nicholas Hobbs ◽  
Jigar Shah ◽  
Matthew Harris ◽  
...  
Keyword(s):  
Receiver Operating Characteristic Curve ◽  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Validation Cohort ◽  
Characteristic Curve ◽  
Curve Analysis ◽  
Emergency Laparotomy ◽  
Contamination Index ◽  
Operating Characteristic Curve ◽  
Receiver Operating

Aims To investigate whether an intraperitoneal contamination index (ICI) derived from combined preoperative levels of C-reactive protein, lactate, neutrophils, lymphocytes and albumin could predict the extent of intraperitoneal contamination in patients with acute abdominal pathology. Methods Patients aged over 18 who underwent emergency laparotomy for acute abdominal pathology between January 2014 and October 2018 were randomly divided into primary and validation cohorts. The proposed intraperitoneal contamination index was calculated for each patient in each cohort. Receiver operating characteristic curve analysis was performed to determine discrimination of the index and cut-off values of preoperative intraperitoneal contamination index that could predict the extent of intraperitoneal contamination. Results Overall, 468 patients were included in this study; 234 in the primary cohort and 234 in the validation cohort. The analyses identified intraperitoneal contamination index of 24.77 and 24.32 as cut-off values for purulent contamination in the primary cohort (area under the curve (AUC): 0.73, P < 0.0001; sensitivity: 84%, specificity: 60%) and validation cohort (AUC: 0.83, P < 0.0001; sensitivity: 91%, specificity: 69%), respectively. Receiver operating characteristic curve analysis also identified intraperitoneal contamination index of 33.70 and 33.41 as cut-off values for feculent contamination in the primary cohort (AUC: 0.78, P < 0.0001; sensitivity: 87%, specificity: 64%) and validation cohort (AUC: 0.79, P < 0.0001; sensitivity: 86%, specificity: 73%), respectively. Conclusions As a predictive measure which is derived purely from biomarkers, intraperitoneal contamination index may be accurate enough to predict the extent of intraperitoneal contamination in patients with acute abdominal pathology and to facilitate decision-making together with clinical and radiological findings.

A conditional approach for the receiver operating characteristic curve construction to evaluate diagnostic test performance in a family-matched case–control design

2021 ◽  
pp. 096228022199595
Author(s):  
Yalda Zarnegarnia ◽  
Shari Messinger
Keyword(s):  
Receiver Operating Characteristic Curve ◽  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Case Control ◽  
Paired Data ◽  
Characteristic Curves ◽  
Receiver Operating Characteristic Curves ◽  
Operating Characteristic Curve ◽  
Receiver Operating

Receiver operating characteristic curves are widely used in medical research to illustrate biomarker performance in binary classification, particularly with respect to disease or health status. Study designs that include related subjects, such as siblings, usually have common environmental or genetic factors giving rise to correlated biomarker data. The design could be used to improve detection of biomarkers informative of increased risk, allowing initiation of treatment to stop or slow disease progression. Available methods for receiver operating characteristic construction do not take advantage of correlation inherent in this design to improve biomarker performance. This paper will briefly review some developed methods for receiver operating characteristic curve estimation in settings with correlated data from case–control designs and will discuss the limitations of current methods for analyzing correlated familial paired data. An alternative approach using conditional receiver operating characteristic curves will be demonstrated. The proposed approach will use information about correlation among biomarker values, producing conditional receiver operating characteristic curves that evaluate the ability of a biomarker to discriminate between affected and unaffected subjects in a familial paired design.

Sign in / Sign up

Export Citation Format

Share Document