Fazekas et al., 2022 - Google Patents
PO. 1.14 Evaluation of cognitive impairment in SLE–a comparison of two assessment toolsFazekas et al., 2022
View PDF- Document ID
- 12268279608289139510
- Author
- Fazekas E
- Bodor G
- Burcsár S
- Hemelein R
- Kálmán J
- Rafael B
- Kovács L
- Publication year
- Publication venue
- Lupus Science & Medicine
External Links
Snippet
Background, aims Cognitive impairment is estimated to occur in 10–30% of systemic lupus erythematosus (SLE) patients. Its screening and early recognition is not well established in routine clinical care. Assessment tools for common types of dementia are insufficient to …
- 206010057668 Cognitive disease 0 title abstract description 23
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/68—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids
- G01N33/6893—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids related to diseases not provided for elsewhere
- G01N33/6896—Neurological disorders, e.g. Alzheimer's disease
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2800/00—Detection or diagnosis of diseases
- G01N2800/28—Neurological disorders
- G01N2800/2814—Dementia; Cognitive disorders
- G01N2800/2821—Alzheimer
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2800/00—Detection or diagnosis of diseases
- G01N2800/28—Neurological disorders
- G01N2800/2835—Movement disorders, e.g. Parkinson, Huntington, Tourette
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2800/00—Detection or diagnosis of diseases
- G01N2800/30—Psychoses; Psychiatry
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Ramanan et al. | Longitudinal executive function and episodic memory profiles in behavioral-variant frontotemporal dementia and Alzheimer’s disease | |
Schmid et al. | The extension of the German CERAD neuropsychological assessment battery with tests assessing subcortical, executive and frontal functions improves accuracy in dementia diagnosis | |
Bajaj et al. | Spectrum of neurocognitive impairment in cirrhosis: implications for the assessment of hepatic encephalopathy | |
Merrell et al. | Inattention, hyperactivity and impulsiveness: Their impact on academic achievement and progress | |
Merkelbach et al. | Cognitive outcome after bacterial meningitis | |
Picillo et al. | Motor, cognitive and behavioral differences in MDS PSP phenotypes | |
Stein et al. | The assessment of changes in cognitive functioning: reliable change indices for neuropsychological instruments in the elderly–a systematic review | |
Wakefield et al. | Distinctive neuropsychological profiles differentiate patients with functional memory disorder from patients with amnestic-mild cognitive impairment | |
Cousins et al. | ATN status in amnestic and non-amnestic Alzheimer’s disease and frontotemporal lobar degeneration | |
Pinto et al. | Influence of age and education on the performance of elderly in the Brazilian version of the Montreal Cognitive Assessment battery | |
Russo et al. | Usefulness of discriminability and response bias indices for the evaluation of recognition memory in mild cognitive impairment and Alzheimer disease | |
Reiner et al. | The clock drawing test: A reasonable instrument to assess probable dementia in primary care? | |
Nitsch et al. | Uncorrected versus demographically-corrected scores on the NIH Toolbox Cognition Battery in persons with traumatic brain injury and stroke. | |
Leyton et al. | Application of Addenbrooke’s cognitive examination to diagnosis and monitoring of progressive primary aphasia | |
Silsby et al. | The midbrain‐to‐pons ratio distinguishes progressive supranuclear palsy from non‐fluent primary progressive aphasias | |
Seubert-Ravelo et al. | Mild cognitive impairment in patients with early-onset Parkinson's disease | |
Jackson et al. | Cognitive impairment in people with multiple sclerosis: Perception vs. performance–factors that drive perception of impairment differ for patients and clinicians | |
Rafii et al. | Comparison of the memory performance index with standard neuropsychological measures of cognition | |
Fazekas et al. | PO. 1.14 Evaluation of cognitive impairment in SLE–a comparison of two assessment tools | |
Broche-Pérez et al. | Clinical utility of the INECO Frontal Screening for detecting Mild Cognitive Impairment in Parkinson’s disease | |
Stein et al. | The assessment of changes in cognitive functioning in the elderly: age-and education-specific reliable change indices for the SIDAM | |
Ma et al. | Correlation between cognitive impairment and metabolic imbalance of gut microbiota in patients with schizophrenia | |
Peles et al. | Accuracy of the brief cognitive screening battery for diagnosing Alzheimer's disease defined by cerebrospinal fluid biomarkers and AT (N) classification: a case-control study | |
Bakeberg et al. | Clinically assessing cognitive function in Parkinson's disease | |
Sözeri-Varma et al. | Relationship of apathy with depressive symptom severity and cognitive functions in geriatric depression |