Antimicrobial agent prescription: a prospective cohort study in patients with sepsis and septic shock

eHealth and mHealth in Antimicrobial Stewardship to Reduce Mortality in Empirical Antimicrobial Therapy and a Systematic Review with a Meta-Analysis of Adequate Therapy

The urgent requirement for swift diagnostic methods in pathogen identification and antimicrobial susceptibility testing is emphasized by rising bacterial resistance and limited treatment options, which are particularly critical in sepsis management. The shift from traditional phenotype-based methods to rapid molecular and mass spectrometry techniques has significantly reduced result turnaround times, enhancing patient outcomes. In this systematic review with meta-analysis, the aspects of correct empirical antimicrobial therapy are evaluated to determine their impact on mortality. We performed a systematic review and meta-analysis on EMBASE, the Cochrane Library, Web of Science, and MEDLINE. Studies evaluating mortality associated with empirical adequate and inadequate therapy in different sites of infection were included. Outcomes included clinical cures in microbiologically evaluable patients. Among the sites of infection, the most studied were bloodstream infections (n = 9), followed by respiratory tract infections (n = 5), intra-abdominal infections (n = 5), and urinary tract infections (evaluated by 3 studies). Inadequate therapy was associated with an increase in mortality between 11 and 68%. Technologies to speed up pathogen identification are extremely necessary to reduce mortality.

Effect of delayed antibiotic use on mortality outcomes in patients with sepsis or septic shock: A systematic review and meta-analysis

BACKGROUND

The use of antibiotics is essential in the treatment of sepsis and septic shock, and delaying their administration may impact patient mortality outcomes. However, there is currently a controversial debate surrounding this issue. In this meta-analysis, we aimed to explore the association between delayed antibiotic use and mortality in patients with sepsis and septic shock.

METHODS

A systematic search was conducted on PubMed, EMBASE, Web of Science, and Cochrane Library to identify relevant studies published from 2013 to 2023. These studies focused on patients with sepsis or septic shock and provided information on various antibiotic administration times and mortality rates. Two independent reviewers screened and extracted the data. The quality of each study was assessed using the Newcastle-Ottawa Scale, and the collected data were analyzed using STATA 15.1 software.

RESULTS

A total of 29 studies were included, consisting of 17 prospective cohort studies and 12 retrospective cohort studies. The meta-analysis showed that compared to administration of antibiotics within 1 h, each hour of delay in antibiotic administration increased the in-hospital mortality (IHM) (OR = 1.041, 95 % CI: 1.021-1.062), and ministration of antibiotics after 1 h increased the IHM (OR = 1.205, 95 % CI: 1.123-1.293). There was no significant change in the 28-day mortality (OR = 1.297, 95 % CI: 0.882-1.906), 90-day mortality (OR = 1.172, 95 % CI: 0.846-1.622), and 1-year mortality (OR = 0.986, 95 % CI: 0.422-2.303). Administration of antibiotics within 3 h may reduce the IHM (OR = 1.297, 95 % CI: 1.011-1.664, p = 0.041), while administration of antibiotics within 6 h showed no significant association with the IHM.

CONCLUSION

The administration of antibiotics beyond 1 h after emergency triage or disease identification is strongly associated with an increased IHM in patients with sepsis or septic shock, and each hour of delay in antibiotic administration may be associated with an increase in the IHM. Furthermore, the use of antibiotics identification beyond 3 h after emergency triage / sepsis or septic shock may also increase the IHM.

Impact of the empirical therapy timing on the clinical progress of septic shock patients

AIM

To evaluate the effect of timing of antimicrobial therapy on clinical progress of patients with septic shock.

MATERIALS AND METHOD

We included 204 adult patients diagnosed with septic shock according to Sepsis-3 criteria between March 2016 and April 2021. One-month survival was evaluated using univariate and logistic regression analysis.

RESULTS

Antibiotic treatment was initiated within 1 h of the vasopressors in 26.4 % of patients. One-month mortality did not differ significantly between patients with and without empirical therapy coverage on etiological agents. Univariate factors that significantly affected one-month survival were starting antibiotics at the first hour, the unit where the case was diagnosed with septic shock, SOFA scores, qSOFA scores, and lactate level. In multivariate analysis, diagnosis of septic shock in the Emergency Service, SOFA score ≥11, qSOFA score of three and lactate level ≥4 were significantly associated with one-month mortality.

CONCLUSION

Training programs should be designed to increase the awareness of septic shock diagnosis and treatment in the Emergency Service and other hospital units. Additionally, electronic patient files should have warning systems for earlier diagnosis and consultation.

Reduction of BSI associated mortality after a sepsis project implementation in the ER of a tertiary referral hospital

The emergency room (ER) is the first gateway for patients with sepsis to inpatient units, and identifying best practices and benchmarks to be applied in this setting might crucially result in better patient's outcomes. In this study, we want to evaluate the results in terms of decreased the in-hospital mortality of patients with sepsis of a Sepsis Project developed in the ER. All patients admitted to the ER of our Hospital from the 1st January, 2016 to the 31stJuly 2019 with suspect of sepsis (MEWS score ≥ of 3) and positive blood culture upon ER admission were included in this retrospective observational study. The study comprises of two periods: Period A: From the 1st Jan 2016 to the 31st Dec 2017, before the implementation of the Sepsis project. Period B: From the 1st Jan 2018 to the 31stJul 2019, after the implementation of the Sepsis project. To analyze the difference in mortality between the two periods, a univariate and multivariate logistic regression was used. The risk of in-hospital mortality was expressed as an odds ratio (OR) and a 95% confidence interval (95% CI). Overall, 722 patients admitted in ER had positive BC on admissions, 408 in period A and 314 in period B. In-hospital mortality was 18.9% in period A and 12.7% in period B (p = 0.03). At multivariable analysis, mortality was still reduced in period B compared to period A (OR 0.64, 95% CI 0.41-0.98; p = 0.045). Having an infection due to GP bacteria or polymicrobial was associated with an increased risk of death, as it was having a neoplasm or diabetes. A marked reduction in in-hospital mortality of patients with documented BSI associated with signs or symptoms of sepsis after the implementation of a sepsis project based on the application of sepsis bundles in the ER.

Systematic Review on the Effects of Prompt Antibiotic Treatment on Survival in Septic Shock and Sepsis Patients in Different Hospital Settings

This study aims to determine the impact of prompt administration of antibiotics in evaluating the prognosis of patients with septic shock or sepsis. On January 1, 2022, we searched the Cochrane Library, EMBASE, and MEDLINE databases for English-language articles regarding when antibiotics should be administered to patients with septic shock or sepsis. These articles were required to be published between 2010 and 2021. The primary objective was sudden or expected death from any cause at a specified time. In the study, 154,330 patients from 35 sepsis trials were included. In 19 trials, the effectiveness of antibiotics administered to 20,062 patients was evaluated. Of those, 16,652 received the correct medications. In 24 studies, the length of time it took to administer antibiotics was associated with an increased mortality rate. In fourteen studies, the time limits associated with patient outcomes ranged from 1 to 125 minutes to three to six hours. In eight studies, there were hourly delays, and in two, the time it took to receive an antibiotic played a role. Separately analyzed, the outcomes for septic shock (12,756 patients in 11 trials) and sepsis (24,282 patients in six studies) were identical. Two-thirds of sepsis studies discovered a correlation between early antibiotic treatment and the patient's prognosis. However, antimicrobial timing metrics varied significantly between studies, and there were no clear time limits.

Community-acquired pneumonia: comparison of three mortality prediction scores in the emergency department

Background

qSOFA is a score to identify patients with suspected infection and risk of complications. Its criteria are like those evaluated in prognostic scores for pneumonia (CRB-65 - CURB-65), but it is not clear which is best for predicting mortality and admission to the ICU.

Objective

Compare three scores (CURB-65, CRB-65 and qSOFA) to determine the best tool to identify emergency department patients with pneumonia at increased risk of mortality or intensive care unit (ICU) admission.

Methods

Secondary analysis of three prospective cohorts of patients hospitalized with diagnosis of pneumonia in five Colombian hospitals. Validation and comparison of the score´s accuracies were performed by means of discrimination and calibration measures.

Results

Cohorts 1, 2 and 3 included 158, 745 and 207 patients, with mortality rates of 32.3%, 17.2% and 18.4%, and admission to ICU was required for 52.5%, 43.5% and 25.6%, respectively. The best AUC-ROC for mortality was for CURB-65 in cohort 3 (AUC-ROC=0.67). The calibration was adequate (p>0.05) for the three scores.

Conclusions

None of these scores proved to be an appropriate predictor for mortality and admission to the ICU. Furthermore, the CRB 65 exhibited the lowest discriminative ability.

Right Dose, Right Now: Development of AutoKinetics for Real Time Model Informed Precision Antibiotic Dosing Decision Support at the Bedside of Critically Ill Patients

Introduction

Antibiotic dosing in critically ill patients is challenging because their pharmacokinetics (PK) are altered and may change rapidly with disease progression. Standard dosing frequently leads to inadequate PK exposure. Therapeutic drug monitoring (TDM) offers a potential solution but requires sampling and PK knowledge, which delays decision support. It is our philosophy that antibiotic dosing support should be directly available at the bedside through deep integration into the electronic health record (EHR) system. Therefore we developed AutoKinetics, a clinical decision support system (CDSS) for real time, model informed precision antibiotic dosing.

Objective

To provide a detailed description of the design, development, validation, testing, and implementation of AutoKinetics.

Methods

We created a development framework and used workflow analysis to facilitate integration into popular EHR systems. We used a development cycle to iteratively adjust and expand AutoKinetics functionalities. Furthermore, we performed a literature review to select and integrate pharmacokinetic models for five frequently prescribed antibiotics for sepsis. Finally, we tackled regulatory challenges, in particular those related to the Medical Device Regulation under the European regulatory framework.

Results

We developed a SQL-based relational database as the backend of AutoKinetics. We developed a data loader to retrieve data in real time. We designed a clinical dosing algorithm to find a dose regimen to maintain antibiotic pharmacokinetic exposure within clinically relevant safety constraints. If needed, a loading dose is calculated to minimize the time until steady state is achieved. Finally, adaptive dosing using Bayesian estimation is applied if plasma levels are available. We implemented support for five extensively used antibiotics following model development, calibration, and validation. We integrated AutoKinetics into two popular EHRs (Metavision, Epic) and developed a user interface that provides textual and visual feedback to the physician.

Conclusion

We successfully developed a CDSS for real time model informed precision antibiotic dosing at the bedside of the critically ill. This holds great promise for improving sepsis outcome. Therefore, we recently started the Right Dose Right Now multi-center randomized control trial to validate this concept in 420 patients with severe sepsis and septic shock.