{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T14:11:11Z","timestamp":1789567871094,"version":"build-2803163510"},"reference-count":33,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,9,14]],"date-time":"2026-09-14T00:00:00Z","timestamp":1789344000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Advances in Wound Care"],"abstract":"<jats:sec>\n                    <jats:title>Objective:<\/jats:title>\n                    <jats:p>To identify admission-day factors associated with 1-year mortality in adults hospitalized with a chronic wound of any etiology, and to develop and internally validate a model pairing the red cell distribution width\u2013albumin ratio (RAR) with the age-adjusted Charlson Comorbidity Index (ACCI).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Approach:<\/jats:title>\n                    <jats:p>\n                      In a single-center retrospective cohort reported per Strengthening the Reporting of Observational Studies in Epidemiology and Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis + Artificial Intelligence, adults admitted for a chronic wound (2021\u20132024) were analyzed at first admission (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 584). Admission markers were compared by area under the curve; a logistic model of RAR and ACCI was internally validated by bootstrapping and applied unchanged to a later same-center cohort (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 124) for exploratory temporal evaluation. The primary outcome was 1-year all-cause mortality.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>Fifty-three patients (9.1%) died within 1 year. Pressure ulcers carried the highest mortality; the strongest comorbid markers were prior intensive care, dementia, and cardiopulmonary disease. RAR discriminated best, ahead of its components, albumin and red cell distribution width. The two-variable model showed strong discrimination (optimism-corrected C-statistic 0.855) and good calibration, stratifying patients into low-, intermediate-, and high-risk tiers (observed mortality 1.3%, 9.0%, and 36.8%); a high admission RAR (\u22655.2) or low albumin (&lt;3.0 g\/dL) likewise flagged high-risk patients. In an exploratory same-center temporal evaluation, discrimination was similar; calibration was imprecise.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Innovation:<\/jats:title>\n                    <jats:p>This provides a simple, admission-day, patient-level 1-year mortality model for mixed-etiology chronic-wound inpatients, a group for whom admission-day mortality tools have been lacking.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>Two routine admission-day variables estimated 1-year mortality in chronic-wound inpatients well enough to separate risk groups on the day of admission.<\/jats:p>\n                  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