Skip to main content

Thirty-day postoperative death rate at an academic medical center.

Publication ,  Journal Article
Calland, JF; Adams, RB; Benjamin, DK; O'Connor, MJ; Chandrasekhara, V; Guerlain, S; Jones, RS
Published in: Ann Surg
May 2002

OBJECTIVE: To improve understanding of perioperative deaths at an academic medical center. SUMMARY BACKGROUND DATA: Because published data have typically focused on specific patient populations, diagnoses, or procedures, there are few data regarding surgical deaths and complications in institutional or regional studies. Specifically, surgical adverse events and errors are generally not studied comprehensively. This limits the overall understanding of complications and deaths. METHODS: Data from all operations performed in the main operating suite of the University of Virginia Health Sciences Center from January 1 to June 30, 1999, were compared with state death records to gain a dataset of patients dying within 30 days of surgery. All clinical records from patients who died were screened for adverse events and subsequently reviewed by three surgeons who identified adverse events and errors and performed comparisons with survivors. RESULTS: One hundred nineteen deaths followed 7,379 operations performed on 6,296 patients, yielding a patient death rate of 1.9%. Patients dying within 30 days of surgery were older and had higher American Society of Anesthesiologists scores. Of 119 deaths, 86 (72.3%) were attributable to the patient's primary disease. Twenty-three patient deaths (19.3% of all deaths, 0.37% of all patients) could not be attributed to the patient's primary disease and thus were suspicious for an adverse event (AE) as the cause of the death. Of the 23 deaths suspicious for AE, 15 (12.6% of all deaths, and 65.2% of AE deaths) followed an error in care and thus were classified as potentially preventable, affecting 0.24% of the study population. CONCLUSIONS: Overall, the 30-day postoperative death rate was low in the total surgical population at an academic medical center. Errors and AEs were associated with 12.6% and 19.3% of deaths, respectively. Retrospective review inadequately characterized the nature of AEs and failed to determine causality. Prospective audits of outcomes will enhance our understanding of surgical AEs.

Duke Scholars

Published In

Ann Surg

DOI

ISSN

0003-4932

Publication Date

May 2002

Volume

235

Issue

5

Start / End Page

690 / 696

Location

United States

Related Subject Headings

  • Time Factors
  • Surgery
  • Postoperative Period
  • Postoperative Complications
  • Medical Errors
  • Medical Audit
  • Incidence
  • Humans
  • Databases, Factual
  • Academic Medical Centers
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Calland, J. F., Adams, R. B., Benjamin, D. K., O’Connor, M. J., Chandrasekhara, V., Guerlain, S., & Jones, R. S. (2002). Thirty-day postoperative death rate at an academic medical center. Ann Surg, 235(5), 690–696. https://doi.org/10.1097/00000658-200205000-00011
Calland, J Forrest, Reid B. Adams, Daniel K. Benjamin, Matthew J. O’Connor, Vinay Chandrasekhara, Stephanie Guerlain, and Rayford Scott Jones. “Thirty-day postoperative death rate at an academic medical center.Ann Surg 235, no. 5 (May 2002): 690–96. https://doi.org/10.1097/00000658-200205000-00011.
Calland JF, Adams RB, Benjamin DK, O’Connor MJ, Chandrasekhara V, Guerlain S, et al. Thirty-day postoperative death rate at an academic medical center. Ann Surg. 2002 May;235(5):690–6.
Calland, J. Forrest, et al. “Thirty-day postoperative death rate at an academic medical center.Ann Surg, vol. 235, no. 5, May 2002, pp. 690–96. Pubmed, doi:10.1097/00000658-200205000-00011.
Calland JF, Adams RB, Benjamin DK, O’Connor MJ, Chandrasekhara V, Guerlain S, Jones RS. Thirty-day postoperative death rate at an academic medical center. Ann Surg. 2002 May;235(5):690–696.

Published In

Ann Surg

DOI

ISSN

0003-4932

Publication Date

May 2002

Volume

235

Issue

5

Start / End Page

690 / 696

Location

United States

Related Subject Headings

  • Time Factors
  • Surgery
  • Postoperative Period
  • Postoperative Complications
  • Medical Errors
  • Medical Audit
  • Incidence
  • Humans
  • Databases, Factual
  • Academic Medical Centers