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Gut Microbiota Profiles of The Osteoporotic Hip Fracture Patients with and without CKD and Their Relationship with Metabolic Bone Panels

Gut Microbiota Profiles of The Osteoporotic Hip Fracture Patients with and without CKD and Their Relationship with Metabolic Bone Panels

Status
Unknown
Phases
Unknown
Study type
Observational
Source
TCTR
Registry ID
TCTR20230905003
Enrollment
40
Registered
2023-09-05
Start date
2023-09-20
Completion date
Unknown
Last updated
2026-08-03

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

Conditions

Fragility hip fractures Fragility hip fractures, gut microbiota

Interventions

Osteoporotic hip fracture with CKD patients,Osteoporotic hip fracture with Non-CKD patients
Other,Other
CKD patients,Non-CKD patients

Sponsors

Faculty of medicine research fund
Lead Sponsor

Eligibility

Sex/Gender
All
Age
50 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. The patients that older than 50 years 2. The patients that have been diagnosed with Osteoporotic hip fracture, caused by falling on the ground or low energy trauma.

Exclusion criteria

Exclusion criteria: 1. The patients that diagnosed with pathologic hip fractures 2. The patients that diagnosed with multiple fracture 3. The patients that received antibiotic drugs in 90 days before the admission

Design outcomes

Primary

MeasureTime frame
Gut microbiota's genetic extraction from patient's feces Before patient is get the surgery Feces extraction by using QIAGEN. PCR amplification and sequencing for amplify microbial 16S rRNA gene. Identify by using QIIME2 package. Classify for analysis by using scikit-learn naive Bayes.

Secondary

MeasureTime frame
Correlation between gut microbiota profiles and metabolic bone parameters in the osteoporotic hip fracture patients with CKD and without CKD. Before patient is get the surgery Feces extraction by using QIAGEN. PCR amplification and sequencing for amplify microbial 16S rRNA gene. Identify by using QIIME2 package. Classify for analysis by using scikit-learn naive Bayes.

Countries

Thailand

Contacts

Public ContactNitchanant Kitcharanant

Department of Orthopaedics, Chiang Mai University

nk_win@hotmail.com66871071133

Outcome results

None listed

Source: TCTR (via WHO ICTRP) · Data processed: Aug 9, 2026