Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Introduction: The Italian telephone-based Mini-Mental State Examination (Itel-MMSE) is considered a very easy tool for screening individuals with dementia, gained importance during COVID-19, but lacks validation and faces a ceiling effect.
Aim: In the present study, we conducted a study standardizing and validating it, establishing cut-off values for two versions.
Methods: Across 24 Italian sites, 707 healthy individuals (50-89 years, men: 268, women: 439) with diverse educational levels (3-24 years) were recruited. Subjects met criteria for normal conditions investigated through a semi-structured interview covering neurological, psychiatric, general medical, and psychopharmacological history. Two test versions were created to assess test-retest reliability at 45-day intervals. We also enrolled 187 subjects with Mild Cognitive Impairment (MCI) and 181 with Alzheimer's Disease (AD) for validation. The raw scores obtained on both versions of Itel-MMSE were set as dependent variables in linear regression models that included age, education, and gender as independent variables. RESULTS : Mean raw Itel-MMSE1 score was 20.82 (range: 13-22). Multiple linear regression demonstrated significant effects of sociodemographic variables for age and education, establishing a new cut-off ≥ 18.49. Mean raw Itel-MMSE2 score was 20.97 (range: 10-22), with a new cut-off ≥ 18.45. Validation showed high informative values, with areas under the curve (AUCs) for MCI and AD conditions and both versions (Itel-MMSE1: MCI AUC = 0.801, AD AUC = 0.907; Itel-MMSE2: MCI AUC = 0.827, AD AUC = 0.977).
Conclusion: The Itel-MMSE proves valuable as a screening method for detecting and monitoring dementia in remote phone screenings, with different cut-offs aiding MCI patient identification in clinical settings.
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http://dx.doi.org/10.1007/s10072-024-07863-4 | DOI Listing |
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