Objectives To conduct a systematic review of studies reporting on the development or
validation of comorbidity indices using administrative health data and compare their ability to …

BACKGROUND: Diabetes mellitus is associated with an increased incidence of colorectal
cancer, but the impact of diabetes mellitus on colorectal cancer prognosis is not clear …

Purpose Comorbidity indices are often used to measure comorbidities in register-based
research. We aimed to adapt the Charlson comorbidity index (CCI) to a Swedish setting …

Purpose Emerging evidence suggests muscle depletion predicts survival of patients with
cancer. Patients and Methods At a cancer center in Alberta, Canada, consecutive patients …

Background: Comorbidity adjustment is an important component of health services research
and clinical prognosis. When adjusting for comorbidities in statistical models, researchers …

Background Scores derived from comorbidities can help with risk adjustment of quality and
safety data. The Charlson and Elixhauser comorbidity measures are well-known risk …

Background: Skeletal muscle depletion (sarcopenia) predicts morbidity and mortality in the
elderly and cancer patients. Methods: We tested whether sarcopenia predicts primary …

Objective There is no consensus on which comorbidity index is optimal for rheumatic health
outcomes research. We compared a new Rheumatic Disease Comorbidity Index (RDCI) with …

Importance Machine learning (ML) algorithms can identify patients with cancer at risk of
short-term mortality to inform treatment and advance care planning. However, no ML …

Background: Recently, van Walraven developed a weighted summary score (VW) based on
the 30 comorbidities from the Elixhauser comorbidity system. One of the 30 comorbidities …