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Blood Biomarkers for Alzheimer Disease and Neuro-injury to Estimate the Association With Cognitive/Functional Decline and Mortality in a Real-world Population of GERiatric Hospitalized Patients (BAD-GER)

Blood Biomarkers for Alzheimer Disease and Neuro-injury to Estimate the Association With Cognitive/Functional Decline and Mortality in a Real-world Population of GERiatric Hospitalized Patients (BAD-GER): a Multicenter, Observational, 3-arms, Prospective Study

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07435467
Acronym
BAD-GER
Enrollment
400
Registered
2026-02-27
Start date
2025-04-09
Completion date
2026-06-30
Last updated
2026-02-27

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

Conditions

Alzheimer Disease, Old Age; Dementia

Keywords

aging, geriatric, biomarkers, inflammation, neurodegeneration, mortality

Brief summary

The BAD-GER study is a multicenter, prospective, three-arm observational study serving to validate a prognostic biomarker algorithm for mortality and hospital readmission; this algorithm will be developed through the retrospective analysis of Alzheimer's Disease and neurodegeneration biomarkers in an already available discovery cohort of 700 previously hospitalized geriatric patients.

Detailed description

Blood levels of amyloid ß-42 (Aß42), total and phosphorylated tau protein (t- and p-tau) associated with other biomarkers of neuro-injury, i.e. neurofilament light (NfL) chain and with biomarkers of neuroinflammation, such as CXCL8, CXCL12 and glial fibrillary acidic protein (GFAP), and metabolites analyzable with metabolomic approach, can provide information not only on neuro-injury, but also on risk of re-hospitalization and mortality. The investigators called these biomarkers BAD-GER biomarkers. The BAD-GER study is a multicenter, prospective, three-arm observational study designed to validate a prognostic biomarker algorithm for mortality and hospital readmission. This algorithm will be derived from a retrospective analysis of Alzheimer's Disease and neurodegeneration biomarkers within an existing discovery cohort of 700 geriatric patients. By integrating clinical data, routine laboratory parameters, immunophenotypes, and specific BAD-GER biomarkers into a minimal dataset, the study will assess associations with functional/cognitive status, as well as short-term and one-year mortality and rehospitalization rates.

Interventions

Serum and EDTA-plasma samples will be collected at baseline

Sponsors

Istituto Nazionale di Ricovero e Cura per Anziani
Lead SponsorOTHER
Ministry of Health, Italy
CollaboratorOTHER_GOV
University of Salento
CollaboratorOTHER
IRCCS Multimedica
CollaboratorOTHER
Azienda Ospedaliera Universitaria Policlinico "G. Martino"
CollaboratorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
65 Years to No maximum
Healthy volunteers
No

Inclusion criteria

GROUP 1: Patients hospitalized for acute neurological disorders Inclusion criteria: * Inpatients with one of the following diagnoses: ischemic or hemorrhagic stroke, delirium, status epilepticus, encephalitis/meningitis

Exclusion criteria

* no informed consent GROUP 2: Patients hospitalized for non-neurological diseases with dementia Inclusion criteria: * inpatients with diagnosis of major neurocognitive disorder according to DSM-5 criteria (2013)

Design outcomes

Primary

MeasureTime frameDescription
All-cause Mortality12 months from enrollmentTo validate the prognostic value of a biomarker algorithm derived from a retrospective analysis of Alzheimer's disease and neurodegeneration biomarkers within an existing discovery cohort of 700 geriatric inpatients.
Number of hospital readmission12 months from enrollmentTo validate the prognostic value of a biomarker algorithm derived from a retrospective analysis of Alzheimer's disease and neurodegeneration biomarkers within an existing discovery cohort of 700 geriatric inpatients.

Secondary

MeasureTime frameDescription
Comprehensive geriatric assessment by INTERRAI-MDS-AC/VAOR-AC instrumentAt baselineIdentification information, personal data at admission, assessment date, cognitive function, communication and vision, mood and behaviour, physical function, incontinence, diagnosis of the disease, health conditions, oral and nutrition status, skin conditions, medications, treatment and procedures, advanced directives, discharge potential, discharge, assessment information, anamnestic-clinical data, standardised clinical assessment, physical performance tests
Levels of amyloid ß-42At baselineThe levels of plasma amyloid ß-42 (Aß42) are assessed.
Assessment of cognitive functionAt baselineCognitive function will be assessed using the Mini Mental State Examination (MMSE). Score ranges 0-30, with higher score indicating better cognitive function.
Assessment of cognitionAt baselineClinical Dementia Rating Scale (CDR) is a cognitive test that is used to assess the severity of dementia. It evaluates six cognitive and functional domains, where the scores are summed to provide a total score from 0 (no cognitive impairment) to 30 (severe impairment).
Assessment of frailtyAt baselineIt will be assessed by the Clinical Frailty Scale (CFS). This descriptive scale divides the older participants into 9 classes based on the information provided by them and their relatives: between 1 and 3 the patient is non-frail, pre-frail if 4, he is frail from 5 to 9.
Levels of tau proteinsAt baselinePlasma levels of total tau (t-tau) and phosphorylated tau (p-tau) will be quantified.
Marker of neuro-injuryAt baselineNeurofilament light chain (NfL) levels will be assessed in plasma
NeuroinflammationAt baselineThe plasma pro-inflammatory chemokine CXCL8 (Interleukin-8) and the homeostatic chemokine CXCL12 (SDF-1) will be measured
Marker of astrocyte activationAt baselinePlasma concentrations of glial fibrillary acidic protein (GFAP) will be quantified

Countries

Italy

Contacts

CONTACTAnna Rita Bonfigli
a.bonfigli@inrca.it+390718003719
STUDY_CHAIRFabiola Olivieri, Professor

IRCCS INRCA, Ancona, Italy

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 28, 2026