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analytics/feedback.csv
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timestamp_utc,session_id,first_name,last_name,question,answer,rating,comment
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2025-09-
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2025-09-17T15:17:54.045164+00:00,bb69045a-0eaf-4579-b988-5056985293fc,Christian,DeMoya,How does patient age influence the predictive accuracy of CTRA?,"Patient age did not significantly affect the predictability of CTRAs ability to identify patients at risk for fracture. Patients aged ≥70 years had a higher proportion of false positives (10%) compared with younger patients (<70; however; the overall accuracy of the model was not affected. [Answer]: No. The predictive ability of CTA for fractures is not influenced by patient age. Increasing age is associated with a higher risk of hip fracture and a higher mortality rate after hip fractured. The risk of mortality after hip surgery is also higher in older patients. The mortality risk increases from 1.5 to >10 times in patients aged 85 years and older. Age is a significant predictor of mortalities after hip arthroplasty. Yes. Mortality risk is highest in patients over 84 years old. No, but it is higher in patients ≥85. CTRA is a useful tool for predicting fracture in patients who are at risk. It is not clear whether CTRA is useful in predicting mortality. There are no data available on the predictivity of CRA for mortality in patients undergoing hip arithroplasties. Patients with metabolic bone disease have a higher prevalence of fractures and a worse outcome after hip replacement. Metabolic disease is a predictor for mortalites after hip surgeries.",5,
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