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To construct a risk prediction model for neuropsychiatric symptoms in the elderly based on oral microenvironment and machine learning

To construct a risk prediction model for neuropsychiatric symptoms in the elderly based on oral microenvironment and machine learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400086760
Enrollment
Unknown
Registered
2024-07-10
Start date
2024-07-16
Completion date
Unknown
Last updated
2024-07-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

neuropsychiatric symptoms

Interventions

neuropsychiatric symptoms group:none
non-neuropsychiatric symptoms group:none

Sponsors

Stomatological Hospital of Chongqing Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
60 Years to 95 Years

Inclusion criteria

Inclusion criteria: ? Age =60 years old, living in the survey site for more than half a year; ? The elderly can cooperate to complete saliva collection, and the elderly or their caregivers can express and communicate normally.

Exclusion criteria

Exclusion criteria: ? The subjects were diagnosed with serious physical diseases and mental disorders, such as schizophrenia and depression, by professional medical institutions. ? Suffering from oral diseases such as oral cancer; ? Indwelling nasogastric tube. ? Severe heart and kidney disease. ? Taking antibiotics within one month before the study;

Design outcomes

Primary

MeasureTime frame
Neuropsychiatric Inventory Scale scores;The relative abundance of oral microbiota;—

Secondary

MeasureTime frame
interleukin-6;interleukin-1ß;tumor necrosis factora;cathepsinB;Cortisol;—

Countries

China

Contacts

Public ContactYang Bing

Stomatological Hospital of Chongqing Medical University

yangb@hospital.cqmu.edu.cn+86 132 2864 9430

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026