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Published on: December 18, 2016
Major discrepancy between clinical and autopsy diagnosis: a descriptive single-center analysis and its implications
Moshawa C Khaba1, Khomotso Maaga2, Ntebogeng Kgokong1
1Department of Anatomical Pathology, Dr George Mukhari Tertiary Laboratory, National Health Laboratory Service, Sefako Makgatho Health Sciences University, Pretoria, South Africa.
Background:
A global decline in the number of clinical post-mortems sought and conducted indicates a diminishing necessity for post-mortem exams. Notwithstanding advancements in medical technology, autopsies continue to serve as a pertinent method for ascertaining the cause of death.
Objectives:
This study aimed to identify prevalent major misdiagnoses in clinical settings through autopsy and to investigate potential contributing factors.
Methods:
A retrospective cross-sectional study was conducted, including 51 autopsies retrieved from the NHLS Laboratory Information System (LIS) and classified as either Class I or Class II discrepancies according to the Goldman criteria. Stata-18 was used to analyse descriptive data and examine the associations between clinicopathological factors and the major discrepancy classes.
Results:
Of the 51 autopsies included in the study, 68.63% (n = 35) were female in contrast to 31.37% (n = 16) of males, with a mean death age of 39.3 years. A total of 88.24% (n = 45) of the cases were classified as Class I discrepancies, and 11.76% (n = 6) were Class II. There was no evidence of an association between discrepancies and age, sex and disease type. However, autopsy diagnosis showed a statistically significant association with Class I discrepancies (p ≤ 0.05) accounted for the largest proportion of misdiagnoses, with pulmonary disease being the most frequently misdiagnosed condition at 44.44% (n = 20).
Conclusions:
Autopsies remain a pertinent clinical audit tool despite advances in medical technology. The hospital should provide funds for autopsies and encourage doctors to utilize them as a clinical audit instrument to enhance patient management.

