Literature DB >> 25350650

The 30-day versus in-hospital and 90-day mortality after esophagectomy as indicators for quality of care.

A Koen Talsma1, Hester F Lingsma, Ewout W Steyerberg, Bas P L Wijnhoven, J Jan B Van Lanschot.   

Abstract

OBJECTIVE: To describe causes of death in the first year after esophagectomy and determine the time frame that should be used for measurement of quality of surgery. A case-mix adjustment model was developed for the comparison between hospitals.
BACKGROUND: The time period in which postoperative mortality should be measured as a performance indicator is debated.
METHODS: Cause of death was identified for patients in a tertiary referral hospital who died within 1 year after surgery and classified as surgery related or not surgery related. Sensitivity and specificity for detecting deaths related to surgery were calculated for different periods of follow-up. Case-mix adjustment models for 30-day mortality (30DM), in-hospital mortality, and 90-day mortality (90DM) were developed.
RESULTS: In total, 1282 patients underwent esophagectomy. 30DM was 2.9%, the in-hospital mortality rate was 5.1% and 90DM was 7%. Beyond 30 days, a substantial number of deaths were related to the operation, especially due to anastomotic leakage. Postdischarge nononcological mortality was most frequently caused by sudden death. One in 5 patients died because of recurrent disease, being the most important threat in the first year after surgery. The 30DM had a sensitivity for detecting surgery-related deaths of 33% and a specificity of 100%. The 90DM had a sensitivity of 74% and a specificity of 96%.
CONCLUSIONS: A period of postoperative follow-up longer than 30 days needs to be considered when comparing surgical performance between institutes. In the case-mix adjustment model for 90DM, no other variables have to be taken into account compared to those involved in 30DM.

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Year:  2014        PMID: 25350650     DOI: 10.1097/SLA.0000000000000482

Source DB:  PubMed          Journal:  Ann Surg        ISSN: 0003-4932            Impact factor:   12.969


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