Publications by authors named "Assia Hami"
Article Synopsis
- The study evaluates the effectiveness of the Healthcare Expenditures and Conditions Mapping (HECM) algorithm in identifying various health conditions, specifically for patients with end-stage kidney disease (ESKD) in France.
- A total of 5,971 patients were analyzed, finding that 81% were accurately identified as having ESKD in both datasets, with diabetes showing the highest accuracy.
- The HECM performed well overall but struggled with cancer identification, suggesting further validation is needed for broader use in different patient populations.
Introduction: Incremental hemodialysis (iHD) may attenuate "dialysis shock" and reduce costs, preserving quality of life. It is considered difficult to reconcile with HD wards' routine; fear of underdialysis and increasing mortality are additional concerns. The aim of this study was to evaluate mortality, morbidity, and costs in a large HD ward where iHD is the standard of HD start.
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