Arianna Agosto, Paolo Giudici, Alessandra Tanda
Statistical learning models to measure the impact of COVID-19 on financial fragility
Frontiers in artificial intelligence
h3contexth3total knee arthroplasty tka one common costly surgical procedures performed united statesh3objectiveh3to examine longitudinal trends volume utilization outcomes primary revision tka 1991 2010 us medicare populationh3design setting participantsh3observational cohort 3 271 851 patients aged 65 years underwent primary tka 318 563 underwent revision tka identified medicare part data filesh3main outcome measuresh3we examined changes primary revision tka volume per capita utilization hospital length stay los readmission rates adverse outcomesh3resultsh3between 1991 2010 annual primary tka volume increased 1615 93 230 243 802 per capita utilization increased 992 312 procedures per 10 000 medicare enrollees 1991 621 procedures per 10 000 2010 revision tka volume increased 1059 9650 19 871 per capita utilization increased 594 32 procedures per 10 000 medicare enrollees 1991 51 procedures per 10 000 2010 primary tka los decreased 79 days 95 ci 7879 19911994 35 days 95 ci 3535 20072010 p lt 001 primary tka rates adverse outcomes resulting readmission remained stable 19912010 rates allcause 30day readmission increased 42 95 ci 4142 50 95 ci 4950 p lt 001 revision tka decrease hospital los accompanied increase allcause 30day readmission 61 95 ci 5964 89 95 ci 8792 p lt 001 increase readmission wound infection 14 95 ci 1315 30 95 ci 2931 p lt 001h3conclusionsh3increases tka volume driven increases number medicare enrollees per capita utilization also observed decreases hospital los accompanied increases hospital readmission rates