Perioperative outcomes and associated factors of patients with hepatic resection, in Central Ethiopia: a multicenter prospective cohort study.
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Date
2023-06
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Addis Ababa University
Abstract
Introduction: As a relatively recent experience practiced only in a few tertiary centers across
Ethiopia, the perioperative outcome of patients with hepatic resection is barely known. The main
objective of this study is to assess perioperative outcomes and associated factors among patients
treated with hepatic resections from July 1, 2022 – June 30, 2023, at tertiary hospitals in Addis
Ababa, Ethiopia.
Methods: It is multi-center prospective cohort study. Data were collected regarding demographics,
comorbidities, the extent of resection, intraoperative findings, perioperative morbidity, and
mortality. Data was entered into epidata version 3.1 and exported to SPSS version 26 for
descriptive analysis and statistical analyses using binary logistic regression.
Result: A total of 76 patients underwent hepatic resection, there were 44 females and 32 males.
One-third (32.9%) of these patients had underlying liver disease. The main indication was primary
hepatic cancer in 65.8% with HCC in 55.3%. The majority (82.9%) of patients had anatomic-based
hepatic resections. Major hepatectomy was performed in 34.2% of patients. The mean duration of
surgery was 3.2±1.23 hr., the length of hospital stay was 6.04 ± 3.35 days while the median blood
loss was 800ml (IQR 500-1000 ml), and 40.8% of the patients required transfusions. Overall 30-
day mortality and morbidity were 3.9% and 32.9% respectively. Morbidity was higher in patients
requiring blood transfusion (p=0.008) and malignant disease indications (p= 0.071) although not
statistically significant.
Conclusion: The perioperative morbidity and mortality of hepatic resection are consistent with
the other published literatures. The requirement for blood transfusion and malignant disease
indications were associated with higher morbidity.
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Keywords
Hepatic resection, Perioperative outcome, Multivariable analysis