{'fraction_non_alphanumeric': 0.022428884026258207, 'fraction_numerical': 0.006564551422319475, 'mean_word_length': 5.799256505576208, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Validating a computerized neuropsychological test battery for mixed ethnic lupus patients

Patients with systemic lupus erythematosus (SLE) often show cognitive impairment on traditional neuropsychological tests; however, many of these tests are unsuitable for use with mixed ethnic populations.Computer-administeredcognitivetests are promising, but have not been validatedagainst traditional tests or with predominantly Hispanic samples. We gave 67 lupus patients a computer-administered test battery (Automated Neuropsychological Assessment Metrics - ANAM) and a battery of traditional neuropsychologicaltests. The two batterieswere compared using correlation and multiple regression analyses. All patients were fluent in English, 54% were Hispanic and 13% were bilingual. Non-Hispanic patients were predominantly European American (37%). About 80% of patients were rated as impaired on traditional tests. Hispanics were younger, had less education and more current SLE disease activity than non-Hispanics;but did not differ in lifetime SLE-related organ damage or current steroid use. Hispanics and younger patients were more impaired on many of the traditional tests, while ANAM was not affected by Hispanic ethnicity or education. ANAM tests were moderately correlated with analogous traditional tests. Age and selected ANAM scores accounted for about 60% of the variance in the traditional battery. These results replicate the high prevalence of cognitive deficits in SLE found by others and suggest that computer-administeredtests like ANAM may be useful for assessment of cognitive impairment in mixed-ethnic samples. Confounding variables such as age, education, English language fluency and prior experience with tests were identified and need to be controlled statisticallyor with comparison groups in future studies.