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Enregistrement W2943871023 · doi:10.1097/cm9.0000000000000285

Alzheimer's disease identified in a patient with bullous pemphigoid by dementia screening scales

2019· article· en· W2943871023 sur OpenAlexaboutno aff
Wenling Zhao, Yiman Wang, Jing Yuan, Yueping Zeng, Li Li

Notice bibliographique

RevueChinese Medical Journal · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueAutoimmune Bullous Skin Diseases
Établissements canadiensnon disponible
Organismes subventionnairesPeking Union Medical CollegeNational Natural Science Foundation of ChinaMilstein Medical Asian American Partnership Foundation
Mots-clésDementiaBullous pemphigoidMedicineMontreal Cognitive AssessmentFamily historyTrunkPathologyDermatologyInternal medicineDiseaseAntibodyImmunology

Résumé

récupéré en direct d'OpenAlex

To the Editor: A 73-year-old man presented with erythemas on his trunk and limbs with significant itching, which he had experienced for 11 months [Figure 1A and 1B]. Histological examination of his skin biopsy revealed sub-epidermal blister formation with eosinophilic and lymphocytic infiltration in the dermis. Direct immunofluorescence revealed the presence of a linear deposition along the basement membrane zone (BMZ). Indirect immunofluorescence revealed that the patient's serum was positive (titer ≥1:320) for anti-BMZ antibodies. Anti-BP180 antibody was 102 U/mL. Based on these findings, a diagnosis of bullous pemphigoid (BP) was established.Figure 1: Clinical features of the patient with BP and the T2-weighted magnetic resonance imaging of brain. (A and B) Erythemas were seen on his trunk and limbs, along with blisters on his hands. (C) Mild hippocampal atrophy. BP: Bullous pemphigoid.The patient was admitted to our hospital on September 21, 2017. During his hospitalization, we noticed that he exhibited bluntness and impaired short-term memory. Further investigation revealed a history of about 2 years of memory decline and a positive family history of dementia; both his father and sister had had dementia. Screening tests for dementia revealed an impaired cognition, as revealed by a score of 25 on the mini-mental state examination (MMSE) and a score of 19 on the montreal cognitive assessment (MoCA). A detailed neuropsychological test battery was implemented by a neurologist at our hospital, and the results demonstrated cognitive deficits in multiple domains, including memory, executive function, and visuospatial abilities. His apolipoprotein E (ApoE) genotype was ε4/ε4, which has been shown to be directly correlated with Alzheimer's disease (AD).[1] Electroencephalogram was mildly abnormal. The T2-weighted magnetic resonance imaging of brain showed mild hippocampal atrophy [Figure 1C] and high-signal intensities in periventricular white matter. The patient was diagnosed with AD by the neurologist, who then prescribed him with vitamin B6 (10 mg/day), folic acid (5 mg/day), and cobalamin (0.5 mg/day). This patient was treated with methylprednisolone (48 mg/day) and tripterygium glycosides (60 mg/day). He was reminded to visit a neurologist regularly for his AD control and had no recurrence of BP after 18 months of follow-up. In recent decades, BP has been shown to be associated with neurological disease (ND). AD is the most common ND associated with BP, and usually progress gradually, such that it can go undiagnosed for years. Indeed, dermatologists are sometimes the first to discover neurological abnormities in patients with BP.[2] Diagnosing ND earlier would result in more effective health care and a better quality of life. Early-stage dementia is associated with relatively mild symptoms and is thus often overlooked in clinical practice. Comprehensive diagnosis of dementia requires multiple evaluations performed by neurologists, including cognitive functioning tests and brain imaging. In this case, the neurologist diagnosed AD based on clinical appearance, various imaging examinations, laboratory tests, and the results of dementia screening scales. This allowed us to intervene and medicate the patient in a timely way, which might improve his prognosis. MMSE and MoCA are widely used scales for screening dementia, and are adopted around the world. Studies have shown that while the MMSE could effectively distinguish between normal patients and those with dementia, it is less able to differentiate between normal patients and those with mild cognitive impairment (MCI).[3] The MoCA can go some way to make up for this, since it has a higher sensitivity in the diagnosis of MCI than does the MMSE.[4] This case study suggests that, when identifying a patient with BP and suspected mental disorders, clinicians should be aware of the possibility of ND. We recommend the combined use of the MMSE and MoCA to examine this, as these are sensitive tools for cognitive impairment screening. Declaration of patient consent The authors certify that they obtained all appropriate patient consent forms. The patient also provided consent for his images and other clinical information to be reported in the journal. The patient understands that his name and initials will not be published and all efforts will be made to conceal his identity, but anonymity cannot be guaranteed. Funding This study was supported by grants from the Milstein Medical Asian American Partnership Foundation (2017, Dermatology), the National Natural Science Foundation of China (No. 81371731), and the Education Reform Projects of Peking Union Medical College (No. 2016zlgc0106). Conflicts of interest None.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,028
Score d'incertitude au seuil0,998

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,006
Tête enseignante GPT0,250
Écart entre enseignants0,244 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2019
Routes d'admission1
Résumé présentoui

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