{"type":"trials","record":{"id":34866,"source_id":"clinicaltrials-gov","external_id":"NCT07566013","title":"PREDICTING MINS WITH FRAILTY AND BIOMARKERS IN GERIATRIC SURGERY","brief_summary":"The primary objective of this study is to develop and validate a machine learning model that integrates preoperative clinical data, biomarkers, and modified frailty indices (mFI-5) to accurately predict myocardial injury after non-cardiac surgery (MINS) in geriatric patients ($\\\\ge$65 years) undergoing major orthopedic surgery and requiring postoperative intensive care. The research aims to compare the predictive performance of advanced algorithms, such as XGBoost and Random Forest, against traditional clinical risk scores like the Revised Cardiac Risk Index (RCRI), while specifically evaluating the impact of frailty on the model's area under the curve (AUC). Furthermore, by identifying the most critical preoperative predictors, this study seeks to establish an objective clinical decision support mechanism to guide clinicians in the early risk stratification of high-risk geriatric patients.","overall_status":"Active Not Recruiting","phases":[],"study_type":"OBSERVATIONAL","sponsor":"DİLEK KALAYCI","enrollment":600,"countries":["Turkey (Türkiye)"],"start_date":"2026-04-01","completion_date":"2026-06-05","last_update_date":"2026-05-04","source_url":"https://clinicaltrials.gov/study/NCT07566013","editorial_summary":"A registered study indexed because it matched monitored longevity research terms. Registry status: Active Not Recruiting. Registration does not establish safety or effectiveness.","first_seen_at":"2026-09-25T01:20:20.087268+00:00","last_seen_at":"2026-09-25T06:10:07.378+00:00","metadata":{"sex":"ALL","acronym":null,"age_range":"65 Years","comparator":null,"organization":"Dr Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital","interventions":["Preoperative Risk Assessment and Machine Learning Modeling"],"registry_source":"ClinicalTrials.gov","outcome_measures":["Incidence of Myocardial Injury after Non-cardiac Surgery (MINS) — 30 days postoperatively","Comparison of Machine Learning Models vs. Traditional Risk Scores (RCRI). — Up to 30 days post-surgery","Identification and ranking of the most significant preoperative predictors for MINS. — Through study completion, an ave…","Identification and ranking of the most significant preoperative predictors for MINS — Through study completion, an aver…"],"design_description":null,"source_has_results":false},"controlled_terms":["Geriatric Patients","Postoperative Complications","Frailty","Myocardial Ischemia","Hip Surgeries","Preoperative Risk Assessment and Machine Learning Modeling"],"relevance_confidence":100,"source_quality_score":100,"freshness_score":100,"publication_state":"published","match_explanation":"Title contains controlled term: frailty.","quality_checked_at":"2026-09-25T06:10:20.034853+00:00","duplicate_cluster_key":"id:nct07566013","duplicate_of_id":null,"evidence_snapshot":{"status":"structured","version":1,"duration":"2026-04-01 to 2026-06-05","comparator":null,"confidence":"structured-source","population":"ALL · 65 Years","provenance":{"duration":"start_date and completion_date","comparator":"registry arm fields","population":"registry eligibility fields","intervention":"registry intervention fields","participants":"enrollment","study_design":"study_type and registry design fields","evidence_stage":"phases","reported_outcome":"not available","outcomes_measured":"registry outcome-measure fields"},"generated_at":"2026-09-25T06:10:07.438Z","intervention":["Preoperative Risk Assessment and Machine Learning Modeling"],"participants":600,"study_design":"OBSERVATIONAL","subject_scope":"Human clinical study registration","evidence_stage":"Phase not reported","safety_context":"Eligibility, adverse-event details, and clinical decisions must be checked in the official registry and with qualified clinicians.","source_support":"Structured registry protocol metadata; no finding-level conclusion is generated.","main_limitation":"This is a study registration. No reusable structured result is available here, so it cannot show whether the intervention worked or was safe.","reported_outcome":null,"outcomes_measured":["Incidence of Myocardial Injury after Non-cardiac Surgery (MINS) — 30 days postoperatively","Comparison of Machine Learning Models vs. Traditional Risk Scores (RCRI). — Up to 30 days post-surgery","Identification and ranking of the most significant preoperative predictors for MINS. — Through study completion, an ave…","Identification and ranking of the most significant preoperative predictors for MINS — Through study completion, an aver…"],"regulatory_context":"Trial registration is not regulatory approval and does not establish that an intervention is available."},"clinical_trial_topics":[{"topic_slug":"frailty","is_published":true,"match_reasons":["Title contains controlled term: frailty.","Abstract contains controlled term: frailty.","Source terminology contains: frailty.","Title supplies longevity context: frailty, frail.","Study type is explicitly identified as OBSERVATIONAL."],"matched_fields":["title","abstract","controlled terminology","title context","study type"],"relevance_score":100,"intelligence_topics":{"name":"Frailty","slug":"frailty"}}],"content_sources":{"name":"ClinicalTrials.gov","homepage_url":"https://clinicaltrials.gov/"}},"canonical_url":"https://www.immortal.life/trials/34866","automation_disclosure":"Generated automatically from cited source metadata. No scientist, clinician, researcher, editor, or human reviewer evaluates this publication before release."}