Details

Autor(en) / Beteiligte

• Orive, Miren
• Aguirre, Urko
• Gonzalez, Nerea
• Lázaro, Santiago
• Redondo, Maximino
• Bare, Marisa
• Anula, Rocío
• Briones, Eduardo
• Escobar, Antonio
• Sarasqueta, Cristina
• Garcia-Gutierrez, Susana
• Quintana, José M.

Titel

Risk factors affecting hospital stay among patients undergoing colon cancer surgery: a prospective cohort study

Ist Teil von

• Supportive care in cancer, 2019-11, Vol.27 (11), p.4133-4144

Ort / Verlag

Berlin/Heidelberg: Springer Berlin Heidelberg

Erscheinungsjahr

2019

Link zum Volltext

Quelle

SpringerLink (Online service)

Beschreibungen/Notizen

• Purpose To identify and validate risk factors that contribute to prolonged length of hospital stay (LOS) in patients undergoing resection for colorectal cancer. Methods This prospective cohort study included 1955 patients admitted to 22 hospitals for primary resection of colorectal cancer. Multivariate analyses were used to identify and validate risk factors, randomizing patients into a derivation and a validation cohort. Multiple correspondence and cluster analysis were performed to identify clinical subtypes based on LOS. Results The strongest independent predictors of prolonged LOS were postoperative reintervention, surgical site infection, open surgery, and distant metastasis. The multiple correspondence and cluster analysis provided three groups of patients in relation to prolonged LOS: patients with the longest LOS included the highest percentage of patients with open surgery, distant metastasis, deep surgical site infections, emergency admissions, additional diagnostic factors, and highly contaminated surgical sites. Patients with prolonged LOS (> 14 days) were more likely to develop adverse outcomes within 30 days after discharge. Conclusions Patients undergoing resection of colorectal cancer cluster into different groups based on LOS of the index admission. Those with prolonged LOS were more likely to develop adverse outcomes within 30 days after discharge. Some of the strongest independent predictors of prolonged LOS, such as surgical infections or open surgery, could be modified to reduce LOS and, in turn, other adverse outcomes. Trial registration NCT02488161