Abstract
Background: Postembolization syndrome (PES) represents the most frequent complication after transarterial chemoembolization (TACE) in patients with HCC. Given the vague definition as a symptom complex comprising abdominal pain, fever, and nausea, PES is diagnosed in heterogeneous patient cohorts with symptoms ranging from mild pain to severe deterioration of their general condition. This study aimed to evaluate predictive factors and the prognostic impact of PES with regard to different severity grades. Methods: A total of 954 patients treated with TACE for HCC at the University Medical Centres Mainz and Freiburg were included in this study. PES disease severity was graded as mild, moderate, or severe according to a predefined combination of symptoms. Logistic regression models were used to identify independent predictors of PES. The prognostic impact of PES was evaluated by competing risk analyses considering liver transplantation as a competing risk. Results: PES occurred in 616 patients (64.5%), but only 56 patients (5.9%) had severe PES, defined as moderate to severe abdominal pain requiring opioids in combination with fever and nausea. The largest tumor diameter was the strongest independent predictor of PES (OR = 1.21, 95% CI = 1.13-1.28), and severe PES (OR = 1.23, 95% CI = 1.14-1.33, p 0.0001). Presence of liver cirrhosis was protective against PES (OR = 0.48, 95% CI = 0.27-0.84, p = 0.01). Furthermore, PES was independently associated with an impaired disease control rate (OR = 0.33, 95% CI = 0.16-0.69, p = 0.003) and severe PES with poor overall survival (subdistribution HR = 1.53, 95% CI = 0.99-2.36, p = 0.04). Conclusions: Tumor size and absence of liver cirrhosis are predictors of severe PES and associated with impaired prognosis in HCC patients after TACE.
| Original language | English |
|---|---|
| Article number | e0252 |
| Journal | Hepatology Communications |
| Volume | 7 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - 10.2023 |
Funding
| Funders | Funder number |
|---|---|
| University of Freiburg | |
| IMM-PACT-Programme | |
| Berta-Ottenstein Programme | |
| Deutsche Forschungsgemeinschaft (DFG) | 413517 907 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 9 Industry, Innovation, and Infrastructure
Research Areas and Centers
- Academic Focus: Biomedical Engineering
DFG Research Classification Scheme
- 2.22-14 Hematology, Oncology
- 2.22-30 Radiology
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