ArticleWorld journal of emergency surgery : WJES2025
Risk factors of 180-day rebleeding after management of blunt splenic injury without surgery and embolization: a national database study.
Article in World journal of emergency surgery : WJES, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
purposeThis study aimed to identify risk factors for rebleeding within 180 days post-discharge in blunt splenic injury patients managed without splenectomy or embolization. MATERIALS AND
methodsA retrospective analysis was conducted using Taiwan's National Health Insurance Research Database. Adult patients aged ≥ 18 years with blunt splenic injury (ICD-9-CM codes 865.01-865.09) from 2000 to 2012 were included. Patients who died, underwent splenectomy (ICD-9-OP codes 41.5, 41.42,41.43, and 41.95) or transcatheter arterial embolization (TAE) (ICD-9-OP codes 39.79 and 99.29) on the first admission were excluded. The primary endpoint was rebleeding, which was identified if patients underwent splenectomy or TAE at 180 days after discharge. Multivariate logistic regression was used to identify risk factors, which were validated in a separate cohort.
resultsOf 6,140 patients, 80 (1.302%) experienced rebleeding within 180 days. Five significant risk factors were identified: age < 54 years (aOR 3.129, p = 0.014), male sex (aOR 2.691, p = 0.010), non-traffic accident-induced injury (aOR 2.459, p = 0.006), ISS ≥ 16 (aOR 2.130, p = 0.021), and congestive heart failure (aOR 6.014, p = 0.006). We generate Delayed Splenic Bleeding System (DSBS). Patients with > 2 points had significantly higher rebleeding rates (risk-identifying cohort: 2.2% vs. 0.6%, OR 3.790, p < 0.001; validation cohort: 2.6% vs. 0.8%, OR 3.129, p = 0.022).
conclusionsAge < 54 years, male, non-traffic accident-induced injury, ISS ≥ 16, and congestive heart failure are risk factors of rebleeding within 180 days after discharge from treating blunt splenic injury without splenectomy or embolization. Despite limitations, this study underscores large-scale data's role in identifying risks which can aid clinicians in prioritizing additional interventions during NOM.
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