- ICH GCP
- Amerikanska kliniska prövningsregistret
- Klinisk prövning NCT04828122
Amyloid Prediction in Early Stage Alzheimer's Disease From Acoustic and Linguistic Patterns of Speech (AMYPRED)
3 september 2021 uppdaterad av: Novoic Limited
A Study to Evaluate the Ability of Speech- and Language-based Digital Biomarkers to Detect and Characterise Prodromal and Preclinical Alzheimer's Disease in a Clinical Setting
The primary objective of the study is to evaluate whether a set of algorithms analysing acoustic and linguistic patterns of speech can detect amyloid-specific cognitive impairment in early stage Alzheimer's disease, as measured by the AUC of the receiver operating characteristic (ROC) curve of the binary classifier distinguishing between amyloid positive (Arms 1 and 3) and amyloid negative (Arms 2 and 4) Arms.
Secondary objectives include (1) evaluating whether similar algorithms can detect amyloid-specific cognitive impairment in the cognitively normal (CN) and MCI Arms respectively, as measured on binary classifier performance; (2) whether they can detect MCI, as measured on binary classifier performance (AUC, sensitivity, specificity, Cohen's kappa), and the agreement between the PACC5 composite and the corresponding regression model predicting it in all Arms pooled (Wilcoxon signed-rank test, CIA); (3) evaluating variables that can impact performance of such algorithms of covariates from the speaker (age, gender, education level) and environment (measures of acoustic quality).
Studieöversikt
Status
Avslutad
Studietyp
Observationell
Inskrivning (Faktisk)
141
Kontakter och platser
Det här avsnittet innehåller kontaktuppgifter för dem som genomför studien och information om var denna studie genomförs.
Studieorter
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Birmingham, Storbritannien, B16 8LT
- Re:Cognition Health
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Guildford, Storbritannien, GU2 7YD
- Re:Cognition Health
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London, Storbritannien, W1G 9JF
- Re:Cognition Health
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Plymouth, Storbritannien, PL68BT
- Re:Cognition Health
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Deltagandekriterier
Forskare letar efter personer som passar en viss beskrivning, så kallade behörighetskriterier. Några exempel på dessa kriterier är en persons allmänna hälsotillstånd eller tidigare behandlingar.
Urvalskriterier
Åldrar som är berättigade till studier
50 år till 85 år (Vuxen, Äldre vuxen)
Tar emot friska volontärer
Ja
Kön som är behöriga för studier
Allt
Testmetod
Icke-sannolikhetsprov
Studera befolkning
All participants of the study are based in the UK.
Beskrivning
Inclusion Criteria:
- Amyloid status must be known, based on an amyloid PET scan or CSF amyloid test, no older than 30 months at the time of consent for Arm 2 and Arm 4 participants (amyloid negative Arms).
- Amyloid status must be known, based on an amyloid PET scan or CSF amyloid test, no older than 60 months at the time of consent for Arm 1 and Arm 3 (amyloid positive Arms).
- Subjects must be aged 50-85 (inclusive).
- Subjects must have MMSE scores of 23-30 (inclusive) based on a test not older than 1 month at the time of the visit.
- Date of diagnosis (if applicable) maximum of five years prior to consent.
- Subjects' first language must be English.
- Willing to participate in a study investigating speech and Alzheimer's disease.
- Availability of a person ('caregiver') who in the investigator's judgment has frequent and sufficient in-person contact with the participant, and is able to provide accurate information regarding the participant's cognitive and functional abilities. This is most likely met when living with a caregiver.
- Able to provide valid informed consent
- Able to use, or has a caregiver who is able to use a smartphone device.
- Has access to a smartphone device running an operation system of Android 7 or above; or iOS 11 or above.
If taking part in the study through virtual visits, the following inclusion criteria also applies:
- Able to use, or has a caregiver who is able to use a personal computer, notebook or tablet.
- Has access to a personal computing device of that is running an operating system of macOS X with macOS 10.9 or later, or Windows 7 or above, or Ubuntu 12.04 or higher; OR has access internet browser software Internet Explorer version 11 or above; or Microsoft Edge version 12 or above, or Firefox version 27 or above, or Google Chrome version 30 or above, or Safari version 7 or above; AND capable of audio and video recording; AND able to connect to the internet.
Exclusion Criteria:
- Clinically significant unstable psychiatric illness in 6 months.
- Diagnosis of Generalised Anxiety Disorder (GAD).
- Diagnosis of Major Depressive Disorder (MDD).
- History or presence of stroke within the past 2 years.
- Documented history of transient ischemic attack or unexplained loss of consciousness within the last 12 months.
- The participant is using drugs to treat symptoms related to AD, and the doses of these drugs were not stable for at least 8 weeks prior to consent.
Studieplan
Det här avsnittet ger detaljer om studieplanen, inklusive hur studien är utformad och vad studien mäter.
Hur är studien utformad?
Designdetaljer
Kohorter och interventioner
Grupp / Kohort |
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Arm 1: MCI amyloid positive
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Arm 2: MCI amyloid negative
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Arm 3: CN amyloid positive
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Arm 4: CN amyloid negative
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Vad mäter studien?
Primära resultatmått
Resultatmått |
Tidsram |
|---|---|
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The area under the curve (AUC) of the receiver operating characteristic (ROC) curve of the binary classifier distinguishing between amyloid positive (Arms 1 and 3) and amyloid negative (Arms 2 and 4) Arms using speech recordings as input.
Tidsram: baseline
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baseline
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Sekundära resultatmått
Resultatmått |
Tidsram |
|---|---|
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The agreement between the PACC5 composite and the corresponding regression model predicting it in all four Arms, as measured by the coefficient of individual agreement (CIA).
Tidsram: baseline
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baseline
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The sensitivity, specificity and Cohen's kappa of the binary classifier distinguishing between amyloid positive (Arms 1 and 3) and amyloid negative (Arms 2 and 4) Arms.
Tidsram: baseline
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baseline
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The AUC, sensitivity, specificity and Cohen's kappa of the binary classifier distinguishing between amyloid positive cognitively normal (CN) (Arm 3) and amyloid negative cognitively normal (CN) (Arm 4) Arms.
Tidsram: baseline
|
baseline
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The AUC, sensitivity, specificity and Cohen's kappa of the binary classifier distinguishing between amyloid positive MCI (Arm 1) and amyloid negative MCI (Arm 2) Arms.
Tidsram: baseline
|
baseline
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The AUC, sensitivity, specificity and Cohen's kappa of the binary classifier distinguishing between the MCI (Arms 1 and 2) and the CN (Arms 3 and 4) Arms.
Tidsram: baseline
|
baseline
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For each classifier/regressor in outcome 1-6, the correlation between the AUC/CIA and each age group, gender and speech-to-reverberation modulation energy ratio group, as measured by the Kendall rank correlation coefficient.
Tidsram: baseline
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baseline
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Samarbetspartners och utredare
Det är här du hittar personer och organisationer som är involverade i denna studie.
Sponsor
Utredare
- Huvudutredare: Emil Fristed, MSc, Novoic Limited
Studieavstämningsdatum
Dessa datum spårar framstegen för inlämningar av studieposter och sammanfattande resultat till ClinicalTrials.gov. Studieposter och rapporterade resultat granskas av National Library of Medicine (NLM) för att säkerställa att de uppfyller specifika kvalitetskontrollstandarder innan de publiceras på den offentliga webbplatsen.
Studera stora datum
Studiestart (Faktisk)
19 november 2020
Primärt slutförande (Faktisk)
6 augusti 2021
Avslutad studie (Faktisk)
6 augusti 2021
Studieregistreringsdatum
Först inskickad
26 mars 2021
Först inskickad som uppfyllde QC-kriterierna
30 mars 2021
Första postat (Faktisk)
1 april 2021
Uppdateringar av studier
Senaste uppdatering publicerad (Faktisk)
5 september 2021
Senaste inskickade uppdateringen som uppfyllde QC-kriterierna
3 september 2021
Senast verifierad
1 mars 2021
Mer information
Termer relaterade till denna studie
Nyckelord
Ytterligare relevanta MeSH-villkor
Andra studie-ID-nummer
- NOV-0100
Plan för individuella deltagardata (IPD)
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