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Asian journal of endoscopic surgery · 2022

C-reactive protein to albumin ratio predicts difficult laparoscopic cholecystectomy in patients with acute cholecystitis diagnosed according to the Tokyo Guidelines 2018.

СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
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Utsumi Masashi, Sakurai Yuya, Narusaka Toru, Tokunaga Naoyuki, Kitada Koji, Hamano Ryosuke, Tsunemitsu Yousuke, Miyasou Hideaki, Otsuka Shinya, Inagaki Masaru

Аннотация

INTRODUCTION: Difficult laparoscopic cholecystectomy (DLC) may increase the risk of complications and extend the duration of hospitalization. The aims of this study were to evaluate the predictive value of C-reactive protein/albumin ratio (CAR) for DLC in patients with acute cholecystitis (AC) diagnosed according to the Tokyo Guidelines 2018 and to develop a preoperative predictive model for DLC.

METHODS: We retrospectively analyzed 205 patients who had laparoscopic cholecystectomy for AC between January 2012 and December 2020. We defined DLC cases as having one of the following factors: blood loss ≥50 mL, operative time ≥150 minutes, or conversion to open surgery. We classified the remaining cases into the non-DLC group.

RESULTS: Overall, 127 (62.0%) and 78 (38.0%) patients were grouped into the DLC and non-DLC groups, respectively. Patients in the DLC group had: higher severity grade, which was assessed using the Tokyo Guidelines 2018; higher incidence of postoperative complications; and more hospitalization days than those in the non-DLC group. Multivariate analysis revealed that male, CAR (≥3.20), and pericholecystic fat hyperdensity on computed tomography (CT) were independent predictors of DLC. We developed a predictive scoring system for DLC based on these three factors (cutoff value, 2.0; area under the curve, 0.75; sensitivity, 71.7%; and specificity, 70.5%).

CONCLUSION: CAR could predict DLC independently in AC patients. We identified male gender, CAR, and pericholecystic fat hyperdensity on CT as predictive factors for DLC and established a preoperative prediction system based on these three factors.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты