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  1. 381

    UNEXPECTED FINDINGS DURING LAPAROTOMY SURGERY AND URGENT SURGICAL INDICATIONS ARE ASSOCIATED WITH POSTOPERATIVE COMPLICATIONS IN PATIENTS WITH CROHN’S DISEASE by Guilherme Zupo TEIXEIRA, Magaly Gemio TEIXEIRA, Marina Carla GIMENEZ, Silvia Caroline Neves RIBEIRO, Nathacia Bernardo CHIMELLO, Vania Aparecida LEANDRO-MERHI

    Published 2025-02-01
    “…RESULTS: There was an association regarding the history of adalimumab use (p=0.04, OR 2.8, 95%CI 1.03-7.65), previous use of prednisone (p<0.01, OR 2.03, 95%CI 2.00-2.05), urgent surgery indications (p<0.01, OR=4.32, 95% CI=1.58-11.82), mechanical anastomosis (p=0.02, OR=0.22, 95%CI 0.06-0.80), unexpected intraoperative findings (p=0.02, OR 10.46, 95%CI 1.50-72.99), length of hospital stay greater than 10 days (p<0.01, OR 16.86, 95%CI 2.99-94.96), unplanned intensive care unit (ICU) admission (p=0.01, OR 15.06, 95%CI 1.96-115.70), and planned ICU admission (p<0.01, OR 18.46, 95%CI 3.60-94.51). …”
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  2. 382

    Retrospective evaluation of autotransfusion using a cell saver device versus allotransfusion in the perioperative management of acute hemoperitoneum in 43 dogs (2017–2021) by Fabienne Blunschi, Dennis Gluding, Esther Hassdenteufel, Matthias Schneider, Hendrik Lehmann

    Published 2025-02-01
    “…Total volume of transfused blood (autologous and allogenic) was significantly higher in the AA-group (median 54.0mL/kg, range 24.7–126.5mL/kg) than in the AO-group (median 7.6mL/kg, range 4.6–13.5mL/kg, p = 0.01) but not the CS-group (median 23.8mL/kg, range 14.1–50.0mL/kg, p = 0.22). …”
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  3. 383

    Data-driven insights into pre-slaughter mortality: Machine learning for predicting high dead on arrival in meat-type ducks by Chalita Jainonthee, Phutsadee Sanwisate, Panneepa Sivapirunthep, Chanporn Chaosap, Raktham Mektrirat, Sudarat Chadsuthi, Veerasak Punyapornwithaya

    Published 2025-01-01
    “…The descriptive analysis revealed a mean DOA percentage of 0.14% (range: 0 to 22.46%, SD = 0.49). The results of the high DOA classification indicated that among all models, XGBoost-Up, XGBoost-Down, and RF-Down were the top three models, achieving the highest overall scores in evaluation metrics including Area Under the ROC Curve (AUC), sensitivity, precision, and F1-score. …”
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    Malicious user detection in Momo application based on spatio-temporal behavior and static attribute analysis by YANG Haifeng, DU Shaoyong, WEI Guo, SHI Wenqi, LUO Xiangyang

    Published 2024-08-01
    “…The proposed method exhibits significantly better performance in correctly classifying malicious users compared to representative methods such as SybilSCAR and DatingSec, with an improvement of over 4.6% in AUC-ROC and over 19.88% in AUC-PR.…”
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    Clinico-demographical Profile of Pelvis and Acetabular Fracture Presenting in Tertiary Care Center of Nepal: An Observational Study by Ranjib Jha, Santosh Thapa, Asish Rajthala

    Published 2025-01-01
    “…The median age was 38 years (IQR: 25.25-46.75) and 36 (75%) were male. Thirty three (69%) patients required surgery, 17 (35%) patients had additional surgery for associated injury and 14 (29%) required intensive care unit admission. …”
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    Burden of Comorbidities and Healthcare Resource Utilization Among Medicaid-Enrolled Extremely Premature Infants by Meredith E. Mowitz, Wei Gao, Heather Sipsma, Pete Zuckerman, Hallee Wong, Rajeev Ayyagari, Sujata P. Sarda

    Published 2022-12-01
    “…**Results:** Among 25 573 premature infants (46.1% female; 4462 \[17.4%\] EP; 2904 \[11.4%\] VP; 18&#8239;207 \[71.2%\] M-LP), comorbidity prevalence, HCRU, and all-cause costs increased with decreasing GA and were highest for EP. …”
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