Using latent class analysis to identify subgroups of postoperative older adults
Kevin H. McLaughlin, Amie Bettencourt, Daniel Young, Erik Hoyer, Michael Friedman, Elizabeth Colantuoni, Lee A. Goeddel, Pedro Gozalo · 2026
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Description
Kevin H McLaughlin and co-authors published a journal article in 2026 sorting older surgical patients into subgroups from routine hospital data. Records covered 2,036 adults aged 65 and over admitted after surgery at one institution. A statistical grouping method used frailty, mobility, daily activity ability, and general health.
Three groups emerged: low frailty with high mobility at 15.3 percent, high frailty with low mobility at 27.6 percent, and low frailty with low mobility at 57.1 percent. Home discharge was highest in the first group at 99 percent and lowest in the frail group at 77 percent. Long stays peaked in the frail group at 27 percent. Therapy visits also ran highest there. The authors suggest tailoring care by group.
Catalog record
| CREATOR | Kevin H. McLaughlin, Amie Bettencourt, Daniel Young, Erik Hoyer, Michael Friedman, Elizabeth Colantuoni, Lee A. Goeddel, Pedro Gozalo |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 35454 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |