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Introduction: An increasing amount of longitudinal health data is available on critically ill septic patients in the age of digital medicine, including daily sequential organ failure assessment (SOFA) score measurements. Thus, the assessment in sepsis focuses increasingly on the evaluation of the individual disease's trajectory. Machine learning (ML) algorithms may provide a promising approach here to improve the evaluation of daily SOFA score dynamics. We tested whether ML algorithms can outperform the conventional ΔSOFA score regarding the accuracy of 30-day mortality prediction. Methods: We used the multicentric SepsisDataNet.NRW study cohort that prospectively enrolled 252 sepsis patients between 03/2018 and 09/2019 for training ML algorithms, i.e. support vector machine (SVM) with polynomial kernel and artificial neural network (aNN). We used the Amsterdam UMC database covering 1,790 sepsis patients for external and independent validation. Results: Both SVM (AUC 0.84; 95% CI: 0.71–0.96) and aNN (AUC 0.82; 95% CI: 0.69–0.95) assessing the SOFA scores of the first seven days led to a more accurate prognosis of 30-day mortality compared to the ΔSOFA score between day 1 and 7 (AUC 0.73; 95% CI: 0.65–0.80; p = 0.02 and p = 0.05, respectively). These differences were even more prominent the shorter the time interval considered. Using the SOFA scores of day 1 to 3 SVM (AUC 0.82; 95% CI: 0.68 0.95) and aNN (AUC 0.80; 95% CI: 0.660.93) led to a more accurate prognosis of 30-day mortality compared to the ΔSOFA score (AUC 0.66; 95% CI: 0.58–0.74; p < 0.01 and p < 0.01, respectively). Strikingly, all these findings could be confirmed in the independent external validation cohort. Conclusions: The ML-based algorithms using daily SOFA scores markedly improved the accuracy of mortality compared to the conventional ΔSOFA score. Therefore, this approach could provide a promising and automated approach to assess the individual disease trajectory in sepsis. These findings reflect the potential of incorporating ML algorithms as robust and generalizable support tools on intensive care units. [ABSTRACT FROM AUTHOR]

Background: The rise in carbapenem-resistant bacteria and the limited number of effective antibiotics pose a major health-care threat. The combination of ceftazidime (CAZ) and avibactam (AVI) represents an approved treatment option for carbapenem-resistant intra-abdominal infections. However, data on the pharmacokinetic profile of AVI in the hepatobiliary compartment is lacking., Objectives: To provide clinical in vivo data on the concentration of AVI in bile fluid as a surrogate for hepatobiliary excretion., Methods: A single dose of 2000/500 mg CAZ/AVI was administered prolonged over 2 h to 10 patients prior to abdominal surgery, with bile samples available in nine patients in this phase IIb study (DRKS-ID: DRKS00023533). Antibiotic concentrations in plasma (0-8 h), bile (after resection) and pharmacodynamic parameters were determined., Results: The mean concentration across individuals in bile was 33.5 mg/L (±20.5 mg/L) for CAZ and 7.1 mg/L (±3.5 mg/L) for AVI, resulting in bile/plasma ratios of 0.58 (±0.26) and 0.61 (±0.18). The Cmax in plasma was 87.2 mg/L (±25.0 mg/L) for CAZ and 18.6 mg/L (±6.29 mg/L) for AVI, with AUC0-∞ values of 351 h·mg/L (±104 h·mg/L) and 72.1 h·mg/L (±32.1 h·mg/L), respectively. Plasma concentrations of both CAZ and AVI remained more than 50% of the dosing interval above the minimum inhibitory concentrations (T>MIC > 50%; MICCAZ = 8 mg/L, MICAVI = 1 mg/L) in all patients. No antibiotic-associated side effects were reported during the 30-day follow-up., Conclusions: The concentrations of CAZ and AVI in bile suggest their potential as a valuable therapeutic option for multi-resistant biliary infections., (© The Author(s) 2024. Published by Oxford University Press on behalf of British Society for Antimicrobial Chemotherapy. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

The new Surviving Sepsis Campaign (SSC) guideline was substantially revised in 2021. These updated recommendations are intended to guide intensivists in providing adequate care to adult patients with sepsis or septic shock. In particular, the current SSC guideline emphasizes early recognition and stringent management in the first hours after the onset of sepsis. In particular, the implementation of acute interventions should help to improve the chances of survival of sepsis patients.This article summarizes the most important recommendations for acute therapy and presents them as a comparative overview to the previous SSC guideline and the German S3 guideline. This should allow the reader to adopt the knowledge from the new guideline into clinical practice as quickly as possible in order to improve the quality of treatment of patients with sepsis or septic shock., Competing Interests: Die Autorinnen/Autoren geben an, dass kein Interessenkonflikt besteht., (Thieme. All rights reserved.)