Digestive surgery · 2025
Exploration of Risk Factors and an Identification Signature for Bacteremia in Acute Cholecystitis.
СтатьяНазвание и аннотация: Перевод в очереди
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Nishiwada Satoshi, Tanaka Tetsuya, Uno Kenji, Kirihataya Yuki, Takei Takeshi, Sadamitsu Tomomi, Kajita Akihiro, Kikuchi Mayuko, Tamada Yoshiki, Enoki Masaru, Matsumoto Kazusuke, Suzuki Junya, Horiuchi Hazuki, Okura Yasushi, Hidaka Teruyuki, Sawai Masayoshi, Yoshimura Atsushi
Аннотация
INTRODUCTION: Acute cholecystitis (AC) is one of the most common abdominal emergencies worldwide. Biliary infections can easily induce bacteremia, leading to severe general conditions including systemic inflammation and blood coagulation abnormalities. However, bacteremia in AC has not been investigated so far. Herein, we analyzed the blood cultures and clinical data of patients with AC to identify the risk factors and develop a statistical identification model for bacteremia.
METHODS: Of 319 consecutive patients with AC at our hospital, we retrospectively investigated 176 patients who were evaluated by blood culture at diagnosis to assess risk factors and develop an identification model for bacteremia in AC.
RESULTS: Based on blood culture results, 37 (21.0%) of 176 patients were diagnosed with bacteremia. The bacteremia-positive group had a significantly worse systemic status at diagnosis than the negative group, including age, severity grading, comorbidities, performance status, systemic inflammatory status, and blood coagulation abnormalities. Multivariate analysis revealed previous endoscopic papillary procedures, total bilirubin, and systemic inflammatory response syndrome ≥3 as significant risk factors for bacteremia. On dividing early and late cohorts according to the onset time of AC, an identification signature derived from the three risk factors robustly distinguished bacteremia in both cohorts (area under the curve, early cohort = 0.93; late cohort = 0.91).
CONCLUSIONS: In this study, we identified risk factors and signatures that accurately detect bacteremia in patients with AC. This study enriches our medical knowledge of AC, helping us step toward designing individualized treatment strategies for this disease.
METHODS: Of 319 consecutive patients with AC at our hospital, we retrospectively investigated 176 patients who were evaluated by blood culture at diagnosis to assess risk factors and develop an identification model for bacteremia in AC.
RESULTS: Based on blood culture results, 37 (21.0%) of 176 patients were diagnosed with bacteremia. The bacteremia-positive group had a significantly worse systemic status at diagnosis than the negative group, including age, severity grading, comorbidities, performance status, systemic inflammatory status, and blood coagulation abnormalities. Multivariate analysis revealed previous endoscopic papillary procedures, total bilirubin, and systemic inflammatory response syndrome ≥3 as significant risk factors for bacteremia. On dividing early and late cohorts according to the onset time of AC, an identification signature derived from the three risk factors robustly distinguished bacteremia in both cohorts (area under the curve, early cohort = 0.93; late cohort = 0.91).
CONCLUSIONS: In this study, we identified risk factors and signatures that accurately detect bacteremia in patients with AC. This study enriches our medical knowledge of AC, helping us step toward designing individualized treatment strategies for this disease.