A Simple Risk Score to Predict In-Hospital Mortality After Pancreatic Resection for Cancer
published in Ann Surg Oncol. 2010 Feb 13. [Epub ahead of print], by authors Hill JS, Zhou Z, Simons JP, Ng SC, McDade TP, Whalen GF, and Tseng JF.
The UMass Surgical Outcomes Analysis & Research group has developed a number of tools to help predict outcomes after operations, including in-hospital mortality and complications. These "risk scores" stratify patients in various settings according to their specific characteristics and circumstances. Please note that these resources are intended as research tools; they describe national averages only, and the estimates they provide must be interpreted in context by an experienced clinician.
Step 1. Calculate Charlson comorbidity score
Indicate "yes" for the comorbidities that the patient has. This validated algorithm (Charlson, ME et al. J Chron Dis 1987; 40(5):373-83.) assigns a point value to the various diseases. The patient's raw score will then be reassigned into the collapsed Charlson score groups for use in the risk score calculation. Group 1 is a score of zero or 1, Group 2 is a score of 2, Group 3 is a score of 3 or higher.
|
Comorbidities |
Points |
|
| AIDS | ||
| Cerebrovascular Disease | ||
| Chronic Pulmonary Disease | ||
| Congestive Heart Failure | ||
| Connective Tissue/Rheumatic Disease | ||
| Dementia | ||
| Diabetes Without End Organ Damage | ||
| Diabetes With End Organ Damage | ||
| Hemiplegia | ||
| Liver Disease Mild to Moderate | ||
| Liver Disease Severe | ||
| Myocardial Infarction | ||
| Peripheral Vascular Disease | ||
| Renal Disease | ||
| Ulcer Disease | ||
| Charlson Group Score | ||
