ED Door-to-Antibiotic Time and Long-term Mortality in Sepsis

Predicting 30-day mortality in older patients with suspected infections by adding performance status to quick sequential organ failure assessment

Background

Quick Sequential Organ Failure Assessment (qSOFA) is a simple and easy tool for identifying patients with suspected infection, who are at a high risk of poor outcome. However, its predictive performance is still insufficient. The Eastern Cooperative Oncology Group Performance Status (ECOG-PS) score, a tool to evaluate physical function, has been recently reported to be useful in predicting the prognosis of patients with pneumonia. We aimed to evaluate the added value of ECOG-PS to qSOFA in predicting 30-day mortality in older patients admitted with suspected infections.

Methods

Between 2018 and 2019, we prospectively collected data from adults aged 65 years or older, admitted with suspected infection at two acute care hospitals. Predictive performance was compared between two logistic regression models: one using qSOFA score alone (qSOFA model) and the other in which ECOG-PS was added to qSOFA (extended model).

Results

Of the 1536 enrolled patients, 135 (8.8%) died within 30 days. The area under the curve of the extended model was significantly higher than that of the qSOFA model (0.67 vs. 0.64, p = 0.008). When the risk groups were categorized as follows: low (<5%), intermediate (5%-10%), and high (≥10%), 5.0% of those who died and 2.1% of those who survived were correctly reclassified by the extended model with an overall categorized net reclassification improvement of 0.03 (95% confidence interval: -0.06 to 0.30).

Conclusions

Adding the ECOG-PS score could improve the performance of qSOFA in predicting mortality in older patients admitted with suspected infection.

Frequency of Antibiotic Overtreatment and Associated Harms in Patients Presenting With Suspected Sepsis to the Emergency Department: A Retrospective Cohort Study

BACKGROUND

Treatment guidelines recommend rapidly treating all patients with suspected sepsis with broad-spectrum antibiotics. This may contribute to antibiotic overuse. We quantified the incidence of antibiotic overtreatment and possible antibiotic-associated harms among patients with suspected sepsis.

METHODS

We reviewed the medical records of 600 adults treated for suspected sepsis with anti-methicillin-resistant Staphylococcus aureus and/or antipseudomonal β-lactam antibiotics in the emergency departments of 7 hospitals, 2019-2022, to assess their post hoc likelihood of infection, whether narrower antibiotics would have sufficed in retrospect, and possible antibiotic-associated complications. We used generalized estimating equations to assess associations between likelihood of infection and hospital mortality.

RESULTS

Of 600 patients, 411 (68.5%) had definite (48.0%) or probable (20.5%) bacterial infection and 189 (31.5%) had possible but less likely (18.3%) or definitely no (13.2%) bacterial infection. Among patients with definite/probable bacterial infection, 325 of 411 (79.1%) received antibiotics that were overly broad in retrospect. Potential antibiotic-associated complications developed in 104 of 600 (17.3%) patients within 90 days, most commonly new infection or colonization with organisms resistant to first-line agents (48/600 [8.0%]). Mortality was higher for patients with less likely/definitely no bacterial infection versus definite/probable bacterial infections (9.0% vs 4.9%; adjusted odds ratio [aOR], 2.25 [95% confidence interval{CI}, 1.70-2.98]), but antibiotic-associated complication rates were similar (14.8% vs 18.5%; aOR, 0.79 [95% CI, .60-1.05]).

CONCLUSIONS

Among 600 patients treated with broad-spectrum antibiotics for possible sepsis, 1 in 3 most likely did not have a bacterial infection, 4 in 5 of those with bacterial infections were treated with regimens that were broader than necessary in retrospect, and 1 in 6 developed antibiotic-associated complications.

Prehospital Sepsis Recognition and Antibiotic Administration: A Retrospective Analysis

OBJECTIVES

Although earlier antibiotics are known to be beneficial in sepsis, very few emergency medical services (EMS) agencies have protocols for prehospital antibiotics for sepsis. Therefore, we sought to assess how well a large EMS agency that uses prehospital antibiotics for sepsis adheres to its sepsis protocol (when initiated), and to determine how soon antibiotics are typically given.

METHODS

We conducted a retrospective chart review of patients identified as "sepsis alerts" by EMS clinicians from a single EMS system in Florida, USA. The prehospital sepsis protocol dictated that EMS clinicians initiate a "sepsis alert" if the patient had a suspected infection and at least 2 of the following 3 criteria based on the sequential (sepsis-related) organ failure assessment (qSOFA) score: altered mental status, respiratory rate > 22 breaths per minute or end-tidal CO2 < 25 mmHg, or systolic blood pressure < 100 mmHg. Per protocol, patients meeting sepsis criteria were supposed to receive intravenous ceftriaxone and intramuscular gentamicin. We reviewed the charts of sepsis alert patients to determine demographic information, clinical characteristics, sepsis protocol compliance, and when patients received antibiotics.

RESULTS

Between June 1, 2023, and June 30, 2024, there were 1308 patients for whom a prehospital sepsis alert was initiated. Median age was 80.0 years (IQR: 72-87.5), and 48.5% had hypotension (systolic blood pressure < 100 mmHg). Of the 1308 sepsis alert patients, review of documentation confirmed that 1301 (99.5%) had a suspected infection with at least 2 sepsis alert criteria. In total, 1264 (96.6%) received at least 1 antibiotic (either ceftriaxone or gentamicin) prior to hospital arrival. The median time from 9-1-1 call to first antibiotic administration was 26 min (IQR: 21-31 min). The first antibiotic was given a median of 11 min (IQR: 7-16 min) prior to hospital arrival.

CONCLUSIONS

For patients in whom a sepsis alert was initiated, EMS clinicians adhered to the sepsis protocol and administered antibiotics prior to hospital arrival in 97% of cases. Patients received their first antibiotic a median of approximately 26 min after 9-1-1 call and 11 min prior to hospital arrival.

Association between empirical antibiotic regimens in emergency department and prognosis of septic patients: A single-Centre real-world study

OBJECTIVES

In this study, we aimed to explore the association between the choice of empirical antibiotic therapy and outcomes in ED patients with sepsis.

METHODS

Patients admitted to ED with sepsis were identified from a single center in the United States, and the data is stored in the MIMIC-IV-ED database. Propensity score matched model was used to match patients receiving empirical mono or combination antibiotic therapy. Logistic regression model was used to assess the associations between empirical antibiotic therapy and in-hospital mortality.

RESULTS

A total of 11,380 ED patients with sepsis were included in the data analysis. After PSM, 3920 pairs of patients were matched between the empirical mono-antibiotic therapy group and combination antibiotic therapy group. No significant benefit was observed among the empirical combination antibiotic therapy patients compared with the mono-antibiotic therapy in in-hospital mortality (OR, 0.96; 95 % CI, 0.81-1.15; P: 0.684). Empirical quinolones mono-therapy was associated with significantly lower mortality compared to cephalosporins (OR, 2.12; 95 % CI, 1.35-3.50; P:0.002), penicillins (OR, 1.87; 95 % CI, 1.08-3.34; P:0.029) and vancomycin mono-therapy (OR, 2.15; 95 % CI, 1.19-3.97; P:0.012).

CONCLUSIONS

Empirical combination antibiotic therapy was not associated with reduced mortality in ED patients with sepsis. Compared with cephalosporins, penicillins and vancomycin, quinolone mono-antibiotic therapy was significantly associated with a decreased risk of in-hospital mortality, especially in patients with respiratory tract infections.

Diagnostic Performance of Monocyte Distribution Width for the Detection of Sepsis: A Systematic Review and Meta-Analysis

Objectives

To aggregate literature on the diagnostic performance of monocyte distribution width (MDW) for sepsis detection among adults in the emergency department and inpatient settings.

Methods

We searched the MEDLINE, EMBASE, SCOPUS, and Cochrane databases for studies evaluating MDW for sepsis diagnosis in adults in the hospital setting through October 19, 2024. Two authors (G.E. and Q.H.) independently performed eligibility assessment, data extraction, and risk of bias assessment. We evaluated performance for sepsis-2 and sepsis-3 separately and applied separate diagnostic thresholds depending on the anticoagulant used in blood collection. Data were pooled using a random-effects model. We performed multiple sensitivity analyses to evaluate the stability of our findings.

Results

Twenty-five observational studies comprising 39,041 patients were included. The area under the summary receiver operating curve (AUC) was 0.82 (95% CI, 0.78-0.85) for both sepsis-2 and sepsis-3. Sensitivity and specificity were 0.79 (95% CI, 0.74-0.83) and 0.7 (95% CI, 0.61-0.78) for sepsis-2 and 0.83 (95% CI, 0.78-0.88) and 0.64 (95% CI, 0.55-0.71) for sepsis-3. The threshold-independent weighted-average AUC was 0.76 (SD, 0.1) for sepsis-2 and 0.77 (SD, 0.07) for sepsis-3. The aggregate negative predictive value was 94% for sepsis-2 and 96% for sepsis-3. We observed similar performance across all sensitivity analyses. We assessed the overall quality of evidence to be low.

Conclusions

MDW performs similarly to other biomarkers such as procalcitonin for the diagnosis of sepsis, with the unique advantage of rapid availability as part of routine testing.

Evaluating Potential Missed Opportunities to Prevent, Treat, or Diagnose Sepsis: A Population-Based Retrospective Study of Insurance Claims

IMPORTANCE

Delays in diagnosing sepsis may increase morbidity and mortality, but the frequency of delays is poorly understood.

OBJECTIVES

The aim of this study was to estimate the frequency and duration of diagnostic delays for sepsis and potential risk factors for delay.

DESIGN, SETTING, AND PARTICIPANTS

We conducted a retrospective case-crossover analysis of sepsis cases from 2016 to 2019 using claims from Merative MarketScan. We ascertained the index diagnosis of sepsis and corresponding hospitalization. We analyzed healthcare visits in the 180 days before diagnosis and then compared the observed and expected trends in signs or symptoms of infection, immune or organ dysfunction (e.g., fever, dyspnea) during the 14 days before diagnosis. A bootstrapping approach was used to estimate the frequency and duration of potential diagnostic delays along with possible risk-factors for experiencing a delay.

MAIN OUTCOMES AND MEASURES

The number of patients who experienced a potential diagnostic delay, duration of delay, and number of potential missed opportunities.

RESULTS

We identified a total of 649,756 cases of sepsis from 2016 to 2019 meeting inclusion criteria. There was an increase in visits with signs or symptoms of infection, immune or organ dysfunction just before the index diagnosis of sepsis. We estimated that around 16.57% (95% CI, 16.38-16.78) of patients experienced a potential diagnostic delay, with a mean delay duration of 3.21 days (95% CI, 3.13-3.27) and a median of 2 days. Most delays occurred in outpatient settings. Potential diagnostic delays were more frequent among younger age groups and patients who received antibiotics (odds ratio [OR] 2.58 [95% CI, 2.54-2.62]), or treatments for particular symptoms, including opioids (OR 1.43 [95% CI, 1.40-1.46]) and inhalers (OR 1.37 [95% CI, 1.33-1.40]).

CONCLUSIONS AND RELEVANCE

There may be a substantial number of potential missed opportunities to diagnose sepsis, especially in outpatient settings. Multiple factors might contribute to delays in diagnosing sepsis including commonly prescribed medications for symptoms.

Development and Prospective Implementation of a Large Language Model based System for Early Sepsis Prediction

Sepsis is a dysregulated host response to infection with high mortality and morbidity. Early detection and intervention have been shown to improve patient outcomes, but existing computational models relying on structured electronic health record data often miss contextual information from unstructured clinical notes. This study introduces COMPOSER-LLM, an open-source large language model (LLM) integrated with the COMPOSER model to enhance early sepsis prediction. For high-uncertainty predictions, the LLM extracts additional context to assess sepsis-mimics, improving accuracy. Evaluated on 2,500 patient encounters, COMPOSER-LLM achieved a sensitivity of 72.1%, positive predictive value of 52.9%, F-1 score of 61.0%, and 0.0087 false alarms per patient hour, outperforming the standalone COMPOSER model. Prospective validation yielded similar results. Manual chart review found 62% of false positives had bacterial infections, demonstrating potential clinical utility. Our findings suggest that integrating LLMs with traditional models can enhance predictive performance by leveraging unstructured data, representing a significant advance in healthcare analytics.

Sepsis: the evolution of molecular pathogenesis concepts and clinical management

The mortality rate of sepsis is approximately 22.5%, accounting for 19.7% of the total global mortality. Since Lewis Thomas proposed in 1972 that "it is our response that makes the disease (sepsis)" rather than the invading microorganisms, numerous drugs have been developed to suppress the "overwhelming" inflammatory response, but none of them has achieved the desired effect. Continued failure has led investigators to question whether deaths in septic patients are indeed caused by uncontrolled inflammation. Here, we review the history of clinical trials based on evolving concepts of sepsis pathogenesis over the past half century, summarize the factors that led to the failure of these historical drugs and the prerequisites for the success of future drugs, and propose the basic principles of preclinical research to ensure successful clinical translation. The strategy of targeting inflammatory factors are like attempting to eliminate invaders by suppressing the host's armed forces, which is logically untenable. Sepsis may not be that complex; rather, sepsis may be the result of a failure to fight microbes when the force of an invading pathogen overwhelms our defenses. Thus, strengthening the body's defense forces instead of suppressing them may be the correct strategy to overcome sepsis.

Clinical Gestalt to Predict Bacterial Infection and Mortality in Emergency Department Patients: A Prospective Observational Study

BACKGROUND

Time to treatment is a significant predictor of mortality in emergency department (ED) patients with bacterial sepsis. Strategies for the early detection of bacterial infection and sepsis are lacking. Clinical gestalt is a tool for assessing and synthesizing the entire clinical picture, focusing on the first clinical impression at presentation.

OBJECTIVE

This study aimed to assess ED physicians' clinical gestalt for the prediction of bacterial infection and mortality in ED patients presenting with signs and symptoms of infection.

DESIGN

Prospective, observational study with a 30-day follow-up.

PARTICIPANTS

Patients aged 18 or older presenting to the ED with signs and symptoms compatible with an infection and abnormal vital signs were included.

MAIN MEASURES

ED physicians recorded their clinical gestalt using a visual analog scale (VAS) to assess the likelihood of bacterial infection and responded to a dichotomous question regarding the probability of a patient's death. The main outcome was the confirmed diagnosis of an acute bacterial infection. Final diagnoses, based on laboratory and follow-up information, were adjudicated by an expert panel.

KEY RESULTS

In total, 444 patients were included. Median age was 68 years [IQR 51, 80] and median National Early Warning Score (NEWS) was 5 [IQR 3, 7]. Median VAS for physicians' clinical gestalt regarding bacterial infection likelihood was 8.2 [IQR 6.7, 9.0] of 10 in patients with bacterial infection, 2.3 [IQR 1.2, 4.3] in patients with viral infection, 4.6 [IQR 4.0, 7.3] in patients with an infection due to another pathogen, and 2.3 [IQR 1.1 6.2] in patients with no acute infection (p-value = <0.001). Clinical gestalt's sensitivity regarding 30-day mortality was 57.1% [95%CI 37.2 to 75.5] with a specificity of 83.4% [95%CI 79.7 to 86.9].

CONCLUSION

In this study of ED patients presenting with signs and symptoms of infection, clinical gestalt was shown to be useful differentiating between bacterial and infections of other causes. Antibiotic prescription rate increased with the likelihood of bacterial infection according to physician gestalt. Lastly, simple heuristic prognostication of mortality (likely vs. unlikely) carried some, but limited, prognostic value.

Interdisciplinary Team Pilot to Reduce Time to Administration of Piperacillin/Tazobactam in the Emergency Department at a Veterans Affairs Medical Center

Background

Sepsis is a condition of life-threatening organ dysfunction caused by a dysregulated host response to an infection. Adults with suspected sepsis or possible septic shock should receive antimicrobials within 1 hour. Early administration of antibiotics to patients with sepsis has been shown to decrease in-hospital mortality. Factors that affect antibiotic administration time include the antibiotic dispensary location, best practice alerts in electronic medical records, and staff "huddles" to continuously reinforce the importance of antibiotics.

Methods

At our Veterans Affairs Medical Center, we moved piperacillin/tazobactam from the central pharmacy to the emergency department automated dispensing cabinet. We implemented an interdisciplinary sepsis team comprised of emergency medicine (EM) nurses, pharmacists, and physicians. This was a retrospective chart review to assess whether our change in practice affected the time to administration of piperacillin/tazobactam in the emergency department. We assessed whether the change in practice had an effect on mortality in our population.

Results

Patients were reviewed 6 months pre- and post-implantation of the practice changes. There were 139 veterans in the pre-implementation group and 128 in the post-implementation group. The two groups were similar in age, sex, and African-American race. There was a statistically significant reduction in the average time from EM pharmacist verification to nurse administration when comparing the groups (46.5±49.8 vs 30.6±28.7 minutes, p=0.004). There were statistically significant reductions in the time from EM physician recognition to pharmacist order verification (54.37±50.22 vs 40.52±31.26 minutes, p=0.009). Eight patients died in the pre-pilot group compared to five in the post-pilot group. The relative risk of mortality was reduced between the two groups by 32%.

Conclusion

When piperacillin/tazobactam was stocked in the emergency department and we implemented an interdisciplinary sepsis team, there was a significant reduction in the time to administration in patients with sepsis.

The smell of sepsis: Electronic nose measurements improve early recognition of sepsis in the ED

OBJECTIVE

Early recognition of sepsis is essential for timely initiation of adequate care. However, this is challenging as signs and symptoms may be absent or nonspecific. The cascade of events leading to organ failure in sepsis is characterized by immune-metabolic alterations. Volatile organic compounds (VOCs) are metabolic byproducts released in expired air. We hypothesize that measuring the VOC profile using electronic nose technology (eNose) could improve early recognition of sepsis.

MATERIAL AND METHODS

In this cohort study, bedside eNose measurements were collected prospectively from ED patients with suspected infections. Sepsis diagnosis was retrospectively defined based on Sepsis-3 criteria. eNose sensor data were used in a discriminant analysis to evaluate the predictive performance for early sepsis recognition. The dataset was randomly split into training (67 %) and validation (33 %) subsets. The derived discriminant function from the training subset was then applied to classify new observations in the validation subset. Model performance was evaluated using receiver operating characteristic (ROC) curves and predictive values.

RESULTS

We analyzed a total of 160 eNose measurements. The eNose measurements had an area under the ROC (AUROC) of 0.78 (95 % CI: 0.69-0.87) for diagnosing sepsis, with a sensitivity of 72 %, specificity of 73 %, and an overall accuracy of 73 %. The validation model showed an AUC of 0.83 (95 % CI: 0.71-0.94), sensitivity of 71 %, specificity of 83 %, and an accuracy of 80 %.

CONCLUSION

eNose measurements can identify sepsis among patients with a suspected infection at the ED.

CLINICAL TRIAL REGISTRATION

The study is embedded in the Acutelines data-biobank (www.acutelines.nl), registered in Clinicaltrials.gov (NCT04615065).

Methicillin-resistant Staphylococcus aureus and Vancomycin Prescribing in the Emergency Department: A Single-center Study Assessing Antibiotic Prescribing

Objectives

Given the support for methicillin-resistant Staphylococcus aureus (MRSA) antimicrobial stewardship in the 2021 Surviving Sepsis Campaign Guidelines, we sought to measure the use of vancomycin in the emergency department (ED) in the years preceding these recommendations.

Methods

A retrospective cohort study was conducted of all patients aged ≥ 18 years presenting to 5 emergency departments within a university-based health system who were given intravenous (IV) vancomycin during their ED index visit. The primary outcome assessed the proportion of patients with MRSA-positive blood cultures who received IV vancomycin in the ED. We also measured associations between clinical attributes associated with any MRSA infection.

Results

Of the 20,212 unique ED visits for patients who received IV vancomycin, 63% (n = 12,755) had at least 1 MRSA risk factor. Only 2.4% (n = 494) and 14.1% (n = 2850) of patients receiving IV vancomycin in the ED were found to have MRSA bacteremia or any MRSA-positive culture, respectively. A total of 3160 patients met Sepsis-3 criteria and received IV vancomycin, though 65% (n = 2064) had no MRSA risk factors. For any patient with culture-proven MRSA, 63.8% (n = 315) and 43.4% (n = 1236) received an MRSA antimicrobial in the ED. MRSA risk factors were not associated with MRSA bacteremia (≥1 MRSA risk factor: odds ratio, 1.3, 95% CI, 0.9-1.8) or an MRSA-positive culture of any type (odds ratio, 0.9, 95% CI, 0.7-1.1).

Conclusion

Within our hospital system, MRSA was an infrequent cause of bacteremia for patients presenting to the ED with sepsis or septic shock. Although vancomycin is frequently used in the ED, many patients with culture-proven MRSA did not receive MRSA antimicrobials. Notably, one-third of patients with culture-proven MRSA had no MRSA risk factors. MRSA risk factors were not predictive of culture-proven MRSA, thus highlighting the complexity of antimicrobial stewardship in the ED without validated clinical decision rules.

Exploring the Molecular Mechanism by which Kaempferol Attenuates Sepsis-related Acute Respiratory Distress Syndrome Based on Network Pharmacology and Experimental Verification

BACKGROUND

Sepsis-related acute respiratory distress syndrome (ARDS) is a fatal disease without effective therapy. Kaempferol is a flavonoid compound extracted from natural plant products; it exerts numerous pharmacological effects. Kaempferol attenuates sepsis-related ARDS; however, the underlying protective mechanism has not been elucidated completely.

OBJECTIVES

This study aimed to use network pharmacology and experimental verification to investigate the mechanisms by which kaempferol attenuates sepsis-related ARDS.

METHODS

We screened the targets of kaempferol by PharMapper, Swiss Target Prediction, and CTD database. We identified the targets of sepsis-related ARDS by GeneCards, DisGeNet, OMIM, and TTD. The Weishengxin platform was used to map the targets of both kaempferol and sepsis-related ARDS. We created a Venn diagram to identify the intersection targets. We constructed the "component-intersection targets-disease" network diagram using Cytoscape 3.9.1 software. The intersection targets were imported into the STRING database for developing the protein-protein interaction network. Metascape was used for the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. We selected the leading 20 KEGG pathways to establish the KEGG relationship network. Finally, we performed experimental verification to confirm our prediction results.

RESULTS

Through database screening, we obtained 502, 360, and 78 kaempferol targets, disease targets of sepsis-related ARDS, and intersection targets, respectively. The core targets consisted of tumor necrosis factor-alpha (TNF-α), interleukin (IL)-6, albumin (ALB), IL-1β, and AKT serine/ threonine kinase (AKT)1. GO enrichment analysis identified 426 items, which were principally involved in response to lipopolysaccharide, regulation of inflammatory response, inflammatory response, positive regulation of cell migration, positive regulation of cell adhesion, positive regulation of protein phosphorylation, response to hormone, regulation of reactive oxygen species (ROS) metabolic process, negative regulation of apoptotic signaling pathway, and response to decreased oxygen levels. KEGG enrichment analysis identified 151 pathways. After eliminating the disease and generalized pathways, we obtained the hypoxia-inducible factor 1 (HIF-1), nuclear factor κB (NF-κB), and phosphoinositide 3-kinase (PI3K)-Akt signaling pathways. Our experimental verification confirmed that kaempferol blocked the HIF-1, NFκκB, and PI3K-Akt signaling pathways, diminished TNF-α, IL-1β, and IL-6 expressions, suppressed ROS production, and inhibited apoptosis in lipopolysaccharide (LPS)-induced murine alveolar macrophage (MH-S) cells.

CONCLUSION

Kaempferol can reduce inflammatory response, ROS production, and cell apoptosis by acting on the HIF-1, NF-κB, and PI3K-Akt signaling pathways, thereby alleviating sepsis- related ARDS.

A Prospective Comparison of Large Language Models for Early Prediction of Sepsis

We present a comparative study on the performance of two popular open-source large language models for early prediction of sepsis: Llama-3 8B and Mixtral 8x7B. The primary goal was to determine whether a smaller model could achieve comparable predictive accuracy to a significantly larger model in the context of sepsis prediction using clinical data.Our proposed LLM-based sepsis prediction system, COMPOSER-LLM, enhances the previously published COMPOSER model, which utilizes structured EHR data to generate hourly sepsis risk scores. The new system incorporates an LLM-based approach to extract sepsis-related clinical signs and symptoms from unstructured clinical notes. For scores falling within high-uncertainty prediction regions, particularly those near the decision threshold, the system uses the LLM to draw additional clinical context from patient notes; thereby enhancing the model's predictive accuracy in challenging diagnostic scenarios.A total of 2,074 patient encounters admitted to the Emergency Department at two hospitals within the University of California San Diego Health system were used for model evaluation in this study. Our findings reveal that the Llama-3 8B model based system (COMPOSER-LLMLlama) achieved a sensitivity of 70.3%, positive predictive value (PPV) of 32.5%, F-1 score of 44.4% and false alarms per patient hour (FAPH) of 0.0194, closely matching the performance of the larger Mixtral 8x7B model based system (COMPOSER-LLMmixtral) which achieved a sensitivity of 72.1%, PPV of 31.9%, F-1 score of 44.2% and FAPH of 0.020. When prospectively evaluated, COMPOSER-LLMLlama demonstrated similar performance to the COMPOSER-LLMmixtral pipeline, with a sensitivity of 68.7%, PPV of 36.6%, F-1 score of 47.7% and FAPH of 0.019 vs. sensitivity of 70.5%, PPV of 36.3%, F-1 score of 47.9% and FAPH of 0.020. This result indicates that, for extraction of clinical signs and symptoms from unstructured clinical notes to enable early prediction of sepsis, the Llama-3 generation of smaller language models can perform as effectively and more efficiently than larger models. This finding has significant implications for healthcare settings with limited resources.

A Critical Assessment of Time-to-Antibiotics Recommendations in Pediatric Sepsis

The Pediatric Surviving Sepsis Campaign Guidelines recommend delivery of antibiotics within 1 hour for children with septic shock and, for those without shock but with sepsis-related organ dysfunction, as soon as feasible within 3 hours. In this review, we summarize the available adult and pediatric literature supporting these recommendations. We also explore the implications of implementing time-to-antibiotic goals at the point of antibiotic initiation in clinical practice, as well as the potential downstream impacts of these goals on antibiotic de-escalation.

Early management of adult sepsis and septic shock: Korean clinical practice guidelines

BACKGROUND

Despite recent advances and global improvements in sepsis recognition and supportive care, mortality rates remain high, and adherence to sepsis bundle components in Korea is low. To address this, the Korean Sepsis Alliance, affiliated with the Korean Society of Critical Care Medicine, developed the first sepsis treatment guidelines for Korea based on a comprehensive systematic review and meta-analysis.

METHODS

A de novo method was used to develop the guidelines. Methodologies included determining key questions, conducting a literature search and selection, assessing the risk of bias, synthesizing evidence, and developing recommendations. The certainty of evidence and the strength of recommendations were determined using the Grading of Recommendations, Assessment, Development, and Evaluations approach. Draft recommendations underwent internal and external review processes and public hearings. The development of these guidelines was supported by a research grant from the Korean Disease Control and Prevention Agency.

RESULTS

In these guidelines, we focused on early treatments for adult patients with sepsis and septic shock. Through the guideline development process, 12 key questions and their respective recommendations were formulated. These include lactate measurement, fluid therapies, target blood pressure, antibiotic administration, use of vasopressors and dobutamine, extracorporeal membrane oxygenation, and echocardiography.

CONCLUSIONS

These guidelines aim to support medical professionals in making appropriate decisions about treating adult sepsis and septic shock. We hope these guidelines will increase awareness of sepsis and reduce its mortality rate.

Effectiveness and Safety of an Emergency Department Code Sepsis Protocol: A Pragmatic Clinical Trial

Rationale: Sepsis care delivery-including the initiation of prompt, appropriate antimicrobials-remains suboptimal. Objectives: This study was conducted to determine direct and off-target effects of emergency department (ED) sepsis care reorganization. Methods: This pragmatic pilot trial enrolled adult patients who presented from November 2019 to February 2021 to an ED in Utah before and after implementation of a multimodal, team-based "Code Sepsis" protocol. Patients who presented to two other EDs where usual care was continued served as contemporaneous control subjects. The primary outcome was door-to-antimicrobial time among patients meeting Sepsis-3 criteria before ED departure. Secondary and safety outcomes included all-cause 30-day mortality, antimicrobial utilization and overtreatment, and antimicrobial-associated adverse events. Multivariable regression analyses used difference-in-differences methods to account for trends in outcomes unrelated to the studied intervention. Results: Code Sepsis protocol activation (N = 307) exhibited 8.5% sensitivity and 66% positive predictive value for patients meeting sepsis criteria before ED departure. Among 10,151 patients who met sepsis criteria during the study, adjusted difference-in-differences analysis demonstrated a 13-minute (95% confidence interval = 7-19) decrease in door-to-antimicrobial time associated with Code Sepsis implementation (P < 0.001). Mortality and clinical safety outcomes were unchanged, but Code Sepsis implementation was associated with increased false-positive presumptive infection diagnoses among patients who met sepsis criteria in the ED and increased antimicrobial utilization. Conclusions: Implementation of a team-based protocol for rapid sepsis evaluation and treatment during the coronavirus disease (COVID-19) pandemic's first year was associated with decreased ED door-to-antimicrobial time but also increased antimicrobial utilization. Measurement of both patient-centered and off-target effects of sepsis care improvement interventions is essential to comprehensive assessment of their value. Clinical trial registered with www.clinicaltrials.gov (NCT04148989).

Toward Standardization and High Reliability: Improved Sepsis Screening in Emergency Department Triage Across an Academic Health System

BACKGROUND

Sepsis is a life-threatening emergency, and early recognition and treatment in the emergency department (ED) is critical to improving outcomes.

METHODS

The authors implemented an interdisciplinary quality improvement (QI) project to standardize sepsis screening workflow across an academic health system consisting of a large tertiary care urban hospital, one freestanding ED, and two small rural affiliate hospitals (RA-1 and RA-2). The research team used the Institute for Healthcare Improvement Model for Improvement framework, consisting of iterative Plan-Do-Study-Act (PDSA) cycles. The primary outcome was rates of screening for sepsis at each site. Secondary outcomes included sepsis mortality and Centers for Medicare & Medicaid Services (CMS) sepsis bundle (SEP-1) compliance at our main medical center. Primary outcome was assessed using electronic dashboards extracting the ratio of ED encounters with electronic health record (EHR)-documented sepsis screening per total ED encounters. The SEP-1 bundle was assessed as percent compliance, and mortality was calculated as average observed to expected (O:E). Averages were compared from preintervention to after initiating improvements using two-tailed t-tests.

RESULTS

This QI project took place from December 2022 to December 2023 across four EDs that experience around 138,000 visits annually. A standardized workflow was established at ED triage with an EHR-based question and an associated nurse and physician defined response. Preintervention (October 2022 to November 2022) triage rates for sepsis were 1.7% (163/9,560), 25.3% (523/2,068), 11.0% (360/3,272), and 36.5% (915/2,506) at our main hospital, freestanding ED, RA-1, and RA-2, respectively. After four PDSA cycles, triage rates rose to 91.9% (4,927/5,360), 97.5% (1,032/1,059), 99.0% (1,845/1,863), and 97.4% (1,328/1,363), respectively (p < 0.005). Sepsis triage rates rose most slowly at the large academic medical center, where progressive PDSA cycles were needed to achieve > 90% screening for sepsis. Mean O:E mortality was 0.99 for the 9 months of available data preintervention and 0.83 in the 17 months postintervention (p = 0.07). CMS sepsis bundle compliance was 28.4% for the 15 months preintervention and 40.5% in the 17 months postintervention, (p = 0.14).

CONCLUSION

An interdisciplinary QI project leveraged EHR optimization to integrate with human workflows over four PDSA cycles to achieve standardized and improved screening for sepsis in the ED. This resulted in lower sepsis mortality and increased sepsis bundle compliance, though results were not statistically significant.

Door-to-antibiotic time and mortality in patients with sepsis: Systematic review and meta-analysis

OBJECTIVES

To evaluate whether the timing of initial antibiotic administration in patients with sepsis in hospital affects mortality.

METHODS

This systematic review and meta-analysis included studies from inception up to 19 May 2022. Interventional and observational studies including adult human patients with suspected or confirmed sepsis and reported time of antibiotic administration with mortality were included. Data were extracted by two independent reviewers. Summary estimates were calculated by using random-effects model. The primary outcome was mortality.

RESULTS

We included 42 studies comprising 190,896 patients with sepsis. Pooled data showed that the OR for patient mortality who received antibiotics ≤1 hr was 0.83 (95 %CI: 0.67 to 1.04) when compared with patients who received antibiotics >1hr. Significant reductions in the risk of death in patients with earlier antibiotic administration were observed in patients ≤3 hrs versus >3 hrs (OR: 0.80, 95 %CI: 0.68 to 0.94) and ≤6 hrs vs 6 hrs (OR: 0.57, 95 %CI: 0.39 to 0.82).

CONCLUSIONS

Our findings show an improvement in mortality in sepsis patients with early administration of antibiotics at <3 and <6 hrs. Thus, these results suggest that antibiotics should be administered within 3 hrs of sepsis recognition or ED arrival regardless of the presence or absence of shock.

Validation and comparison of triage-based screening strategies for sepsis

OBJECTIVE

This study sought to externally validate and compare proposed methods for stratifying sepsis risk at emergency department (ED) triage.

METHODS

This nested case/control study enrolled ED patients from four hospitals in Utah and evaluated the performance of previously-published sepsis risk scores amenable to use at ED triage based on their area under the precision-recall curve (AUPRC, which balances positive predictive value and sensitivity) and area under the receiver operator characteristic curve (AUROC, which balances sensitivity and specificity). Score performance for predicting whether patients met Sepsis-3 criteria in the ED was compared to patients' assigned ED triage score (Canadian Triage Acuity Score [CTAS]) with adjustment for multiple comparisons.

RESULTS

Among 2000 case/control patients, 981 met Sepsis-3 criteria on final adjudication. The best performing sepsis risk scores were the Predict Sepsis version #3 (AUPRC 0.183, 95 % CI 0.148-0.256; AUROC 0.859, 95 % CI 0.843-0.875) and Borelli scores (AUPRC 0.127, 95 % CI 0.107-0.160, AUROC 0.845, 95 % CI 0.829-0.862), which significantly outperformed CTAS (AUPRC 0.038, 95 % CI 0.035-0.042, AUROC 0.650, 95 % CI 0.628-0.671, p < 0.001 for all AUPRC and AUROC comparisons). The Predict Sepsis and Borelli scores exhibited sensitivity of 0.670 and 0.678 and specificity of 0.902 and 0.834, respectively, at their recommended cutoff values and outperformed Systemic Inflammatory Response Syndrome (SIRS) criteria (AUPRC 0.083, 95 % CI 0.070-0.102, p = 0.052 and p = 0.078, respectively; AUROC 0.775, 95 % CI 0.756-0.795, p < 0.001 for both scores).

CONCLUSIONS

The Predict Sepsis and Borelli scores exhibited improved performance including increased specificity and positive predictive values for sepsis identification at ED triage compared to CTAS and SIRS criteria.

Development and Validation of the Hospital Medicine Safety Sepsis Initiative Mortality Model

BACKGROUND

When comparing outcomes after sepsis, it is essential to account for patient case mix to make fair comparisons. We developed a model to assess risk-adjusted 30-day mortality in the Michigan Hospital Medicine Safety sepsis initiative (HMS-Sepsis).

RESEARCH QUESTION

Can HMS-Sepsis registry data adequately predict risk of 30-day mortality? Do performance assessments using adjusted vs unadjusted data differ?

STUDY DESIGN AND METHODS

Retrospective cohort of community-onset sepsis hospitalizations in the HMS-Sepsis registry (April 2022-September 2023), with split derivation (70%) and validation (30%) cohorts. We fit a risk-adjustment model (HMS-Sepsis mortality model) incorporating acute physiologic, demographic, and baseline health data and assessed model performance using concordance (C) statistics, Brier scores, and comparisons of predicted vs observed mortality by deciles of risk. We compared hospital performance (first quintile, middle quintiles, fifth quintile) using observed vs adjusted mortality to understand the extent to which risk adjustment impacted hospital performance assessment.

RESULTS

Among 17,514 hospitalizations from 66 hospitals during the study period, 12,260 hospitalizations (70%) were used for model derivation and 5,254 hospitalizations (30%) were used for model validation. Thirty-day mortality for the total cohort was 19.4%. The final model included 13 physiologic variables, two physiologic interactions, and 16 demographic and chronic health variables. The most significant variables were age, metastatic solid tumor, temperature, altered mental status, and platelet count. The model C statistic was 0.82 for the derivation cohort, 0.81 for the validation cohort, and ≥ 0.78 for all subgroups assessed. Overall calibration error was 0.0%, and mean calibration error across deciles of risk was 1.5%. Standardized mortality ratios yielded different assessments than observed mortality for 33.9% of hospitals.

INTERPRETATION

The HMS-Sepsis mortality model showed strong discrimination and adequate calibration and reclassified one-third of hospitals to a different performance category from unadjusted mortality. Based on its strong performance, the HMS-Sepsis mortality model may aid in fair hospital benchmarking, assessment of temporal changes, and observational causal inference analysis.

Management and outcomes in pulmonary arterial hypertension patients with sepsis

BACKGROUND

Sepsis is a common cause of death in patients with pulmonary arterial hypertension (PAH). Treatment requires careful fluid management and hemodynamic support. This study compares patients with or without PAH presenting with sepsis with a focus on initial fluid resuscitation.

METHODS

This retrospective analysis compared adults with and without PAH admitted for sepsis at two academic hospitals between 2013 and 2022. Prior PAH diagnosis was verified by review of right heart catheterization data and sepsis present on admission was verified by chart review. Demographics, vital signs, laboratory values, imaging results, treatment approaches, and all-cause mortality data were obtained. Controls were propensity score weighted by age, sex, and Charlson Comorbidity index. Logistic regression models controlling for age and Charlson comorbidity indices were used to examine factors associated with survival.

RESULTS

Thirty patients admitted for sepsis with pre-existing PAH were compared to 96 matched controls. Controls received significantly more fluids at 24 h compared to PAH patients (median 0 mL v. 1216 mL, p < 0.001), while PAH patients were more likely to receive vasoactive medications (23.3% vs. 8.3%, p = 0.037). At 30 days, 7 PAH patients (23.3%) and 13 control patients (13.5%) had died (p = 0.376). PAH patients that received more fluids had decreased mortality (OR 0.31, 95% CI 0.11-0.92, p = 0.03) and patients who received fluids had shorter mean time to antibiotics (2.3 h v. 6.5 h, p = 0.04), although decreased time to antibiotics was not associated with mortality. Patients who received no fluids more often had previously identified right ventricular systolic dysfunction (62.5% v. 28.6%, p = 0.136).

CONCLUSION

Patients with PAH and sepsis have high mortality and receive different treatments than controls, with more reliance on vasopressors and less on fluid resuscitation. PAH patients who received less fluids had higher mortality and those who received no fluids had a longer time to receiving antibiotics, indicating a potential delay in recognizing sepsis. Timely recognition of sepsis and dynamic decision-making around fluid resuscitation remains critical in this high-risk population.

Review: sepsis guidelines and core measure bundles

Sepsis is a major cause of mortality worldwide and is the third-leading cause of death in the United States. Sepsis is resource-intensive and requires prompt recognition and treatment to reduce mortality. The impact of sepsis is not only on in-hospital survival but extends into post-discharge quality of life and risk of re-admission. As the understanding of sepsis physiology evolved, so have the recommended screening tools and treatment protocol which challenge prior standards of care. There have been noteworthy efforts by the Surviving Sepsis Campaign, the Third International Consensus Definitions for Sepsis and the Centers for Medicare and Medicaid Services to establish core measure bundles. This review highlights both the 2021 SSC International Guidelines and the 2015 CMS Severe Sepsis/Septic Shock Core Measure Bundle, or SEP-1. Notably, the SEP-1 bundle was implemented as a value-based purchasing program, linking care of sepsis patients to financial incentives. The objective is to explore the most current evidence-based data to inform clinical practice while utilizing the available guidelines as a roadmap.

Early identification and diagnosis, pathophysiology, and treatment of sepsis-related acute lung injury: a narrative review

Background and Objective

Sepsis is a life-threatening organ dysfunction, and the most common and vulnerable organ is the lungs, with sepsis-related acute respiratory distress syndrome (ARDS) increasing mortality. In recent years, an increasing number of studies have improved our understanding of sepsis-related ARDS in terms of epidemiology, risk factors, pathophysiology, prognosis, and other aspects, as well as our ability to prevent, detect, and treat sepsis-related ARDS. However, sepsis-related lung injury remains an important issue and clinical burden. Therefore, a literature review was conducted on sepsis-related lung injury in order to further guide clinical practice in reducing the acute and chronic consequences of this condition.

Methods

This study conducted a search of the MEDLINE and PubMed databases, among others for literature published from 1991 to 2023 using the following keywords: definition of sepsis, acute lung injury, sepsis-related acute lung injury, epidemiology, risk factors, early diagnosis of sepsis-related acute lung injury, sepsis, ARDS, pathology and physiology, inflammatory imbalance caused by sepsis, congenital immune response, and treatment.

Key Content and Findings

This review explored the risk factors of sepsis, sepsis-related ARDS, early screening and diagnosis, pathophysiology, and treatment and found that in view of the high mortality rate of ARDS associated with sepsis. In response to the high mortality rate of sepsis-related ARDS, some progress has been made, such as rapid identification of sepsis and effective antibiotic treatment, early fluid resuscitation, lung-protective ventilation, etc.

Conclusions

Sepsis remains a common and challenging critical illness to cure. In response to the high mortality rate of sepsis-related ARDS, progress has been made in rapid sepsis identification, effective antibiotic treatment, early fluid resuscitation, and lung-protective ventilation. However, further research is needed regarding long-term effects such as lung recruitment, prone ventilation, and the application of neuromuscular blocking agents and extracorporeal membrane oxygenation.

State of the art of sepsis care for the emergency medicine clinician

Sepsis impacts 1.7 million Americans annually. It is a life-threatening disruption of organ function because of the body's host response to infection. Sepsis remains a condition frequently encountered in emergency departments (ED) with an estimated 850,000 annual visits affected by sepsis each year in the United States. The pillars of managing sepsis remain timely identification, initiation of antimicrobials while aiming for source control and resuscitation with a goal of restoring tissue perfusion. The focus herein is current evidence and best practice recommendations for state-of-the-art sepsis care that begins in the ED.

Development and validation of a community acquired sepsis-worsening score in the adult emergency department: a prospective cohort: the CASC score

BACKGROUND

Sepsis is a leading cause of death and serious illness that requires early recognition and therapeutic management to improve survival. The quick-SOFA score helps in its recognition, but its diagnostic performance is insufficient. To develop a score that can rapidly identify a community acquired septic situation at risk of clinical complications in patients consulting the emergency department (ED).

METHODS

We conducted a monocentric, prospective cohort study in the emergency department of a university hospital between March 2016 and August 2018 (NCT03280992). All patients admitted to the emergency department for a suspicion of a community-acquired infection were included. Predictor variables of progression to septic shock or death within the first 90 days were selected using backward stepwise multivariable logistic regression to develop a clinical score. Receiver operating characteristic (ROC) curves were constructed to determine the discriminating power of the area under the curve (AUC). We also determined the threshold of our score that optimized the performance required for a sepsis-worsening score. We have compared our score with the NEWS-2 and qSOFA scores.

RESULTS

Among the 21,826 patients admitted to the ED, 796 patients were suspected of having community-acquired infection and 461 met the sepsis criteria; therefore, these patients were included in the analysis. The median [interquartile range] age was 72 [54-84] years, 248 (54%) were males, and 244 (53%) had respiratory symptoms. The clinical score ranged from 0 to 90 and included 8 variables with an area under the ROC curve of 0.85 (confidence interval [CI] 95% 0.81-0.89). A cut-off of 26 yields a sensitivity of 88% (CI 95% 0.79-0.93), a specificity of 62% (CI 95% 57-67), and a negative predictive value of 95% (CI 95% 91-97). The area under the ROC curve for our score was 0.85 (95% CI, 0.81-0.89) versus 0.73 (95% CI, 0.68-0.78) for qSOFA and 0.66 (95% CI, 0.60-0.72) for NEWS-2.

CONCLUSIONS

Our study provides an accurate clinical score for identifying septic patients consulting the ED early at risk of worsening disease. This score could be implemented at admission.

The effects of delayed appropriate antimicrobial therapy on children with Staphylococcus aureus blood infection

Early appropriate antimicrobial therapy plays a critical role for patients with Staphylococcus aureus bloodstream infection (SAB). We aim to determine the optimal time-window for appropriate antimicrobial therapy and evaluate the effects of delayed therapy on adverse clinical outcomes (in-hospital mortality, sepsis, and septic shock) in children with SAB by propensity score matching (PSM) analysis. Receiver-operating characteristic was used to determine the cut-off point of the time to appropriate therapy (TTAT), the patients were divided into timely and delayed appropriate antimicrobial therapy (delayed therapy) groups accordingly. The PSM was used to balance the characteristics between the two groups, controlling the effects of potential confounders. Kaplan-Meier methods and Cox proportional hazards regression were applied to the matched groups to analyze the association between delayed therapy and clinical outcomes. Inverse probability of treatment weighting and propensity score covariate adjustment were also performed to investigate the sensitivity of the results under different propensity score-based approaches. In total, 247 patients were included in this study. The optimal cut-off point of TTAT was identified as 6.4 h, with 85.0% sensitivity and 69.2% specificity (AUC 0.803, 95% confidence interval 0.702-0.904). Eighty-seven (35.22%) of the 247 patients who received delayed therapy (TTAT ≥ 6.4 h) had higher in-hospital mortality (19.54% vs 1.88%, p < 0.001), higher incidences of sepsis (44.83% vs 15.00%, p < 0.001) and septic shock (32.18% vs 6.25%, p < 0.001) when compared to timely therapy (TTAT < 6.4 h) patients. After PSM analysis, a total of 134 episodes (67 in each of the two matched groups) were further analyzed. No statistically significant difference was observed in in-hospital mortality between delayed and timely -therapy groups (log-rank test, P = 0.157). Patients with delayed therapy had a higher incidence of sepsis or septic shock than those with timely therapy (log-rank test, P = 0.009; P = 0.018, respectively). Compared to the timely-therapy group, the hazard ratio and 95% confidence interval in delayed-therapy group were 2.512 (1.227-5.144, P = 0.012) for sepsis, 3.109 (1.166-8.290, P = 0.023) for septic shock.    Conclusion: Appropriate therapy delayed 6.4 h may increase the incidence of sepsis and septic shock, with similar in-hospital mortality in patients with SAB. What is Known: • Staphylococcus aureus (S. aureus) is a major cause of bloodstream infections in children. Undoubtedly, early antimicrobial application plays a critical role in the treatment of children with Staphylococcus aureus bloodstream infections (SAB). • However, rapid, and aggressive administration of antimicrobials may lead to the overuse of these drugs and the emergence of multidrug-resistant microorganisms. Therefore, it is crucial to determine the optimal time-window for appropriate antimicrobial administration in children with SAB. Unfortunately, the optimal time-window for appropriate antimicrobial administration in children with SAB remains unclear. What is New: • Determining the optimal time-window for appropriate antimicrobial administration in patients with matched data variables is particularly important. The Propensity score matching (PSM) analysis effectively controls for confounding factors to a considerable extent when assessing the impact of treatment, thereby approximating the effects observed in randomized controlled trials. • To our knowledge, this is the first study using PSM method to assess the effects of delayed appropriate antimicrobial therapy on adverse outcomes in children with SAB. In low-risk populations with SAB, a delay of 6.4 h in appropriate therapy might increase the occurrence rate for sepsis and septic shock; however, no correlation has been found between this delay and an increased risk for hospital mortality.

Dynamic Changes in Soluble Triggering Receptor Expressed on Myeloid Cells-1 in Sepsis with Respect to Antibiotic Susceptibility

Purpose

Proper antibiotic administration is crucial for sepsis management. Given the escalating incidence of antimicrobial resistance, there is a pressing need for indicators of antimicrobial susceptibility with short turnaround times. This study aimed to investigate the potential of soluble triggering receptor expressed on myeloid cells-1 (sTREM-1) as an early biomarker for in vivo antibiotic susceptibility in patients with sepsis.

Patients and Methods

We conducted a retrospective analysis of plasma samples from patients enrolled in a pre-established study designed to investigate prognostic biomarkers in patients with sepsis or septic shock. Baseline and 6 h sTREM-1 levels were examined using enzyme-linked immunosorbent assays. The primary outcome of the study was the comparison of percentage changes in sTREM-1 levels at the 6 h relative to baseline with respect to antibiotic susceptibility.

Results

Of the 596 patients enrolled in the pre-established study, 29 with a median age of 75.8 and a 28-day mortality rate of 17.2% were included in the present analysis. Among these patients, 24 were classified into the susceptible group, whereas the remaining five were classified into the resistant group. The trend in plasma sTREM-1 levels differed with respect to antibiotic susceptibility. Moreover, percentage change in sTREM-1 levels at the 6 h relative to baseline was significantly higher in the resistant group (P = 0.028).

Conclusion

The trend in plasma sTREM-1 levels in patients with sepsis differed with respect to antibiotic susceptibility, with a higher percentage change in patients treated with inappropriate antibiotics. These findings indicate the potential utility of sTREM-1 as an early biomarker of antibiotic susceptibility.

The chain of survival and rehabilitation for sepsis: concepts and proposals for healthcare trajectory optimization

This article describes the structures and processes involved in healthcare delivery for sepsis, from the prehospital setting until rehabilitation. Quality improvement initiatives in sepsis may reduce both morbidity and mortality. Positive outcomes are more likely when the following steps are optimized: early recognition, severity assessment, prehospital emergency medical system activation when available, early therapy (antimicrobials and hemodynamic optimization), early orientation to an adequate facility (emergency room, operating theater or intensive care unit), in-hospital organ failure resuscitation associated with source control, and finally a comprehensive rehabilitation program. Such a trajectory of care dedicated to sepsis amounts to a chain of survival and rehabilitation for sepsis. Implementation of this chain of survival and rehabilitation for sepsis requires full interconnection between each link. To date, despite regular international recommendations updates, the adherence to sepsis guidelines remains low leading to a considerable burden of the disease. Developing and optimizing such an integrated network could significantly reduce sepsis related mortality and morbidity.

Predicting septic shock in patients with sepsis at emergency department triage using systolic and diastolic shock index

INTRODUCTION

Identifying patients with at a high risk of progressing to septic shock is essential. Due to systemic vasodilation in the pathophysiology of septic shock, the use of diastolic blood pressure (DBP) has emerged. We hypothesized that the initial shock index (SI) and diastolic SI (DSI) at the emergency department (ED) triage can predict septic shock.

METHOD

This observational study used the prospectively collected sepsis registry. The primary outcome was progression to septic shock. Secondary outcomes were the time to vasopressor requirement, vasopressor dose, and severity according to SI and DSI. Patients were classified by tertiles according to the first principal component of shock index and diastolic shock index.

RESULTS

A total of 1267 patients were included in the analysis. The area under the receiver operating characteristic curve (AUC) for predicting progression to septic shock for DSI was 0.717, while that for SI was 0.707. The AUC for predicting progression to septic shock for DSI and SI were significantly higher than those for conventional early warning scores. Middle tertile showed adjusted Odd ratio (aOR) of 1.448 (95% CI 1.074-1.953), and that of upper tertile showed 3.704 (95% CI 2.299-4.111).

CONCLUSION

The SI and DSI were significant predictors of progression to septic shock. Our findings suggest an association between DSI and vasopressor requirement. We propose stratifying lower tertile as being at low risk, middle tertile as being at intermediate risk, and upper tertile as being at high risk of progression to septic shock. This system can be applied simply at the ED triage.

Heterogeneity of Benefit from Earlier Time-to-Antibiotics for Sepsis

Rationale: Shorter time-to-antibiotics improves survival from sepsis, particularly among patients in shock. There may be other subgroups for whom faster antibiotics are particularly beneficial.Objectives: Identify patient characteristics associated with greater benefit from shorter time-to-antibiotics.Methods: Observational cohort study of patients hospitalized with community-onset sepsis at 173 hospitals and treated with antimicrobials within 12 hours. We used three approaches to evaluate heterogeneity of benefit from shorter time-to-antibiotics: 1) conditional average treatment effects of shorter (⩽3 h) versus longer (>3-12 h) time-to-antibiotics on 30-day mortality using multivariable Poisson regression; 2) causal forest to identify characteristics associated with greatest benefit from shorter time-to-antibiotics; and 3) logistic regression with time-to-antibiotics modeled as a spline.Measurements and Main Results: Among 273,255 patients with community-onset sepsis, 131,094 (48.0%) received antibiotics within 3 hours. In Poisson models, shorter time-to-antibiotics was associated with greater absolute mortality reduction among patients with metastatic cancer (5.0% [95% confidence interval; CI: 4.3-5.7] vs. 0.4% [95% CI: 0.2-0.6] for patients without cancer, P < 0.001); patients with shock (7.0% [95% CI: 5.8-8.2%] vs. 2.8% [95% CI: 2.7-3.5%] for patients without shock, P = 0.005); and patients with more acute organ dysfunctions (4.8% [95% CI: 3.9-5.6%] for three or more dysfunctions vs. 0.5% [95% CI: 0.3-0.8] for one dysfunction, P < 0.001). In causal forest, metastatic cancer and shock were associated with greatest benefit from shorter time-to-antibiotics. Spline analysis confirmed differential nonlinear associations of time-to-antibiotics with mortality in patients with metastatic cancer and shock.Conclusions: In patients with community-onset sepsis, the mortality benefit of shorter time-to-antibiotics varied by patient characteristics. These findings suggest that shorter time-to-antibiotics for sepsis is particularly important among patients with cancer and/or shock.

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.

Sex differences in in-hospital management in patients with sepsis and septic shock: a prospective multicenter observational study

Sex differences in the in-hospital management of sepsis exist. Previous studies either included patients with sepsis that was defined using previous definitions of sepsis or evaluated the 3-h bundle therapy. Therefore, this study sought to assess sex differences in 1-h bundle therapy and in-hospital management among patients with sepsis and septic shock, defined according to the Sepsis-3 definitions. This observational study used data from Korean Shock Society (KoSS) registry, a prospective multicenter sepsis registry. Adult patients with sepsis between June 2018 and December 2021 were included in this study. The primary outcome was adherence to 1-h bundle therapy. Propensity score matching (PSM) and multivariable logistic regression analyses were performed. Among 3264 patients with sepsis, 3129 were analyzed. PSM yielded 2380 matched patients (1190 men and 1190 women). After PSM, 1-h bundle therapy was performed less frequently in women than in men (13.0% vs. 19.2%; p < 0.001). Among the bundle therapy components, broad-spectrum antibiotics were administered less frequently in women than in men (25.4% vs. 31.6%, p < 0.001), whereas adequate fluid resuscitation was performed more frequently in women than in men (96.8% vs. 95.0%, p = 0.029). In multivariable logistic regression analysis, 1-h bundle therapy was performed less frequently in women than in men [adjusted odds ratio (aOR) 1.559; 95% confidence interval (CI) 1.245-1.951; p < 0.001] after adjustment. Among the bundle therapy components, broad-spectrum antibiotics were administered less frequently to women than men (aOR 1.339, 95% CI 1.118-1.605; p = 0.002), whereas adequate fluid resuscitation was performed more frequently for women than for men (aOR 0.629, 95% CI 0.413-0.959; p = 0.031). Invasive arterial blood pressure monitoring was performed less frequently in women than in men. Resuscitation fluid, vasopressor, steroid, central-line insertion, ICU admission, length of stay in the emergency department, mechanical ventilator use, and renal replacement therapy use were comparable for both the sexes. Among patients with sepsis and septic shock, 1-h bundle therapy was performed less frequently in women than in men. Continuous efforts are required to increase adherence to the 1-h bundle therapy and to decrease sex differences in the in-hospital management of patients with sepsis and septic shock.

Exploiting the Features of Clinical Judgment to Improve Assessment of Disease Severity in the Emergency Department: An Acutelines Study

BACKGROUND

Clinical judgment, also known as gestalt or gut feeling, can predict deterioration and can be easily and rapidly obtained. To date, it is unknown what clinical judgement precisely entails. The aim of this study was to elucidate which features define the clinical impression of health care professionals in the ED.

METHOD

A nominal group technique (NGT) was used to develop a consensus-based instrument to measure the clinical impression score (CIS, scale 1-10) and to identify features associated with either a more severe or less severe estimated disease severity. This single-center observational cohort study included 517 medical patients visiting the ED. The instrument was prospectively validated.. The predictive value of each feature for the clinical impression was assessed using multivariate linear regression analyses to adjust for potential confounders and validated in the infection group.

RESULTS

The CIS at the ED was associated with ICU admission (OR 1.67 [1.37-2.03], p < 0.001), in-hospital mortality (OR 2.25 [1.33-3.81], p < 0.001), and 28-day mortality (OR 1.33 [1.07-1.65], <0.001). Dry mucous membranes, eye glance, red flags during physical examination, results of arterial blood gas analysis, heart and respiratory rate, oxygen modality, triage urgency, and increased age were associated with a higher estimated disease severity (CIS). On the other hand, behavior of family, self-estimation of the patient, systolic blood pressure, and Glascow Coma Scale were associated with a lower estimated disease severity (CIS).

CONCLUSION

We identified several features that were associated with the clinical impression of health care professionals in the ED. Translating the subjective features and objective measurements into quantifiable parameters may aid the development of a novel triage tool to identify patients at risk of deterioration in the ED.

Influence of antibiotic therapy with hemodynamic optimization on 30-day mortality among septic shock patients cared for in the prehospital setting

BACKGROUND

In order to reduce septic shock mortality, international guidelines recommend early treatment implementation, antibiotic therapy (ABT) and hemodynamic optimisation, within 1-h. This retrospective multicentric study aims to investigate the relationship between prehospital ABT delivered within 1st hour and mean blood pressure (MAP) ≥ 65 mmHg at the end of the prehospital stage, and 30-day mortality among patients with septic shock.

METHODS

From May 2016 to December 2021, patients with septic shock requiring pre-hospital Mobile Intensive Care Unit intervention (MICU) were retrospectively analysed. To assess the relationship between 30-day mortality and prehospital ABT delivered within 1st hour and/or MAP ≥ 65 mmHg at the end of the prehospital stage, Inverse Probability Treatment Weighting (IPTW) propensity score method was performed.

RESULTS

Among the 530 patients included, 341 were male gender (64%) with a mean age of 69 ± 15 years. One-hundred and thirty-two patients (25%) patients received prehospital ABT, among which 98 patients (74%) were treated with 3rd generation cephalosporin. Suspected pulmonary, urinary and digestive infections were the cause of sepsis in respectively 43%, 25% and 17%. The 30-day overall mortality was 31%. A significant association was observed between 30-day mortality rate and (i) ABT administration within the first hour: RRa = 0.14 [0.04-0.55], (ii) ABT administration within the first hour associated with a MAP ≥ 65 mmHg: RRa = 0.08 [0.02-0.37] and (iii) ABT administration within the first hour in the prehospital setting associated with a MAP < 65 mmHg at the end of the prehospital stage: RRa = 0.75 [0.45-0.85]. Patients who received prehospital ABT after the first hour have also a 30-day mortality rate decrease: RRa = 0.87 [0.57-0.99], whereas patients who did not received ABT had an increased 30-day mortality rate: RRa = 2.36 [1.89-2.95].

CONCLUSION

In this study, we showed that pre-hospital ABT within the first hour and MAP≥65 mmHg at the end of prehospital stage are both associated with 30-day mortality decrease among patients suffering from septic shock cared for by a MICU. Further prospective studies are needed to confirm these preliminary results.

Association of delayed adequate antimicrobial treatment and organ dysfunction in pediatric bloodstream infections

BACKGROUND

Bloodstream infections (BSIs) are associated with significant mortality and morbidity, including multiple organ dysfunction. We explored if delayed adequate antimicrobial treatment for children with BSIs is associated with change in organ dysfunction as measured by PELOD-2 scores.

METHODS

We conducted a multicenter, retrospective cohort study of critically ill children <18 years old with BSIs. The primary outcome was change in PELOD-2 score between days 1 (index blood culture) and 5. The exposure variable was delayed administration of adequate antimicrobial therapy by ≥3 h from blood culture collection. We compared PELOD-2 score changes between those who received early and delayed treatment.

RESULTS

Among 202 children, the median (interquartile range) time to adequate antimicrobial therapy was 7 (0.8-20.1) hours; 124 (61%) received delayed antimicrobial therapy. Patients who received early and delayed treatment had similar baseline characteristics. There was no significant difference in PELOD-2 score changes from days 1 and 5 between groups (PELOD-2 score difference -0.07, 95% CI -0.92 to 0.79, p = 0.88).

CONCLUSIONS

We did not find an association between delayed adequate antimicrobial therapy and PELOD-2 score changes between days 1 and 5 from detection of BSI. PELOD-2 score was not sensitive for clinical effects of delayed antimicrobial treatment.

IMPACT

In critically ill children with bloodstream infections, there was no significant change in organ dysfunction as measured by PELOD-2 scores between patients who received adequate antimicrobial therapy within 3 h of their initial positive blood culture and those who started after 3 h. Higher PELOD-2 scores on day 1 were associated with larger differences in PELOD-2 scores between days 1 and 5 from index positive blood cultures. Further study is required to determine if PELOD-2 or alternative measures of organ dysfunction could be used as primary outcome measures in trials of antimicrobial interventions in pediatric critical care research.

Surviving Sepsis Campaign Research Priorities 2023

OBJECTIVES

To identify research priorities in the management, epidemiology, outcome, and pathophysiology of sepsis and septic shock.

DESIGN

Shortly after publication of the most recent Surviving Sepsis Campaign Guidelines, the Surviving Sepsis Research Committee, a multiprofessional group of 16 international experts representing the European Society of Intensive Care Medicine and the Society of Critical Care Medicine, convened virtually and iteratively developed the article and recommendations, which represents an update from the 2018 Surviving Sepsis Campaign Research Priorities.

METHODS

Each task force member submitted five research questions on any sepsis-related subject. Committee members then independently ranked their top three priorities from the list generated. The highest rated clinical and basic science questions were developed into the current article.

RESULTS

A total of 81 questions were submitted. After merging similar questions, there were 34 clinical and ten basic science research questions submitted for voting. The five top clinical priorities were as follows: 1) what is the best strategy for screening and identification of patients with sepsis, and can predictive modeling assist in real-time recognition of sepsis? 2) what causes organ injury and dysfunction in sepsis, how should it be defined, and how can it be detected? 3) how should fluid resuscitation be individualized initially and beyond? 4) what is the best vasopressor approach for treating the different phases of septic shock? and 5) can a personalized/precision medicine approach identify optimal therapies to improve patient outcomes? The five top basic science priorities were as follows: 1) How can we improve animal models so that they more closely resemble sepsis in humans? 2) What outcome variables maximize correlations between human sepsis and animal models and are therefore most appropriate to use in both? 3) How does sepsis affect the brain, and how do sepsis-induced brain alterations contribute to organ dysfunction? How does sepsis affect interactions between neural, endocrine, and immune systems? 4) How does the microbiome affect sepsis pathobiology? 5) How do genetics and epigenetics influence the development of sepsis, the course of sepsis and the response to treatments for sepsis?

CONCLUSIONS

Knowledge advances in multiple clinical domains have been incorporated in progressive iterations of the Surviving Sepsis Campaign guidelines, allowing for evidence-based recommendations for short- and long-term management of sepsis. However, the strength of existing evidence is modest with significant knowledge gaps and mortality from sepsis remains high. The priorities identified represent a roadmap for research in sepsis and septic shock.

Association between preoperative systemic immune inflammation index and postoperative sepsis in patients with intestinal obstruction: A retrospective observational cohort study

BACKGROUND

Sepsis is a severe complication that results in increased morbidity and mortality after intestinal obstruction surgery. This study examined the role of preoperative systemic immune inflammation index (SII) for postoperative sepsis in intestinal obstruction patients.

METHODS

Data on patients who underwent intestinal obstruction surgery were collected. SII was determined and separated into two groups (≤1792.19 and >1792.19) according to the optimal cut-off value of SII for postoperative sepsis. The odds ratio (OR) is calculated for the correlation between SII and postoperative sepsis. Additional analyses were used to estimate the robustness of SII.

RESULTS

A total of 371 intestinal obstruction patients undergoing surgery were included in the final cohort, and 60 (16.17%) patients developed postoperative sepsis. Patients with an SII ＞1792.19 had a significantly higher risk for developing postoperative sepsis after multivariable adjustment [adjusted odds ratio = 2.12, 95% confidence interval: [1.02-4.40]]. The analysis of interaction showed no correlation between the preoperative SII and postoperative sepsis regarding age, hypertension, American Society of Anesthesiologists classification, blood loss, albumin, hemoglobin, creatinine, and leukocyte (all interactions p > .05). In subgroup analysis, all statistically significant subgroups showed that SII was a risk factor for postoperative sepsis (all p < .05). The analyses of subgroups and interactions revealed that the interaction effect of a preoperative SII ＞1792.19 and postoperative sepsis remained significant. A sensitivity analysis confirmed the robustness of the results.

CONCLUSIONS

A preoperative SII ＞ 1792.19 was a risk factor for postoperative sepsis in patients undergoing intestinal obstruction surgery.

Impact of a deep learning sepsis prediction model on quality of care and survival

Sepsis remains a major cause of mortality and morbidity worldwide. Algorithms that assist with the early recognition of sepsis may improve outcomes, but relatively few studies have examined their impact on real-world patient outcomes. Our objective was to assess the impact of a deep-learning model (COMPOSER) for the early prediction of sepsis on patient outcomes. We completed a before-and-after quasi-experimental study at two distinct Emergency Departments (EDs) within the UC San Diego Health System. We included 6217 adult septic patients from 1/1/2021 through 4/30/2023. The exposure tested was a nurse-facing Best Practice Advisory (BPA) triggered by COMPOSER. In-hospital mortality, sepsis bundle compliance, 72-h change in sequential organ failure assessment (SOFA) score following sepsis onset, ICU-free days, and the number of ICU encounters were evaluated in the pre-intervention period (705 days) and the post-intervention period (145 days). The causal impact analysis was performed using a Bayesian structural time-series approach with confounder adjustments to assess the significance of the exposure at the 95% confidence level. The deployment of COMPOSER was significantly associated with a 1.9% absolute reduction (17% relative decrease) in in-hospital sepsis mortality (95% CI, 0.3%-3.5%), a 5.0% absolute increase (10% relative increase) in sepsis bundle compliance (95% CI, 2.4%-8.0%), and a 4% (95% CI, 1.1%-7.1%) reduction in 72-h SOFA change after sepsis onset in causal inference analysis. This study suggests that the deployment of COMPOSER for early prediction of sepsis was associated with a significant reduction in mortality and a significant increase in sepsis bundle compliance.

Impact of Reducing Time-to-Antibiotics on Sepsis Mortality, Antibiotic Use, and Adverse Events

Rationale: Shorter time-to-antibiotics is lifesaving in sepsis, but programs to hasten antibiotic delivery may increase unnecessary antibiotic use and adverse events. Objectives: We sought to estimate both the benefits and harms of shortening time-to-antibiotics for sepsis. Methods: We conducted a simulation study using a cohort of 1,559,523 hospitalized patients admitted through the emergency department with meeting two or more systemic inflammatory response syndrome criteria (2013-2018). Reasons for hospitalization were classified as septic shock, sepsis, infection, antibiotics stopped early, and never treated (no antibiotics within 48 h). We simulated the impact of a 50% reduction in time-to-antibiotics for sepsis across 12 hospital scenarios defined by sepsis prevalence (low, medium, or high) and magnitude of "spillover" antibiotic prescribing to patients without infection (low, medium, high, or very high). Outcomes included mortality and adverse events potentially attributable to antibiotics (e.g., allergy, organ dysfunction, Clostridiodes difficile infection, and culture with multidrug-resistant organism). Results: A total of 933,458 (59.9%) hospitalized patients received antimicrobial therapy within 48 hours of presentation, including 38,572 (2.5%) with septic shock, 276,082 (17.7%) with sepsis, 370,705 (23.8%) with infection, and 248,099 (15.9%) with antibiotics stopped early. A total of 199,937 (12.8%) hospitalized patients experienced an adverse event; most commonly, acute liver injury (5.6%), new MDRO (3.5%), and Clostridiodes difficile infection (1.7%). Across the scenarios, a 50% reduction in time-to-antibiotics for sepsis was associated with a median of 1 to 180 additional antibiotic-treated patients and zero to seven additional adverse events per death averted from sepsis. Conclusions: The impacts of faster time-to-antibiotics for sepsis vary markedly across simulated hospital types. However, even in the worst-case scenario, new antibiotic-associated adverse events were rare.

Risk classification and door-to-antibiotic time in patients with suspected sepsis

OBJECTIVE

to evaluate the association between risk classification and door-to-antibiotic time in patients with suspected sepsis.

METHOD

retrospective cohort study, with a sample of 232 patients with suspected sepsis treated at the emergency department. They were divided into 2 groups: with and without risk classification. Once the door-to-antibiotic time was identified, one-way analysis of variance was performed with Bonferroni post hoc test or independent Student's t-test for continuous quantitative variables; Pearson correlation tests, point-biserial correlation or biserial correlation for association analyses; and bootstrap procedure when there was no normal distribution of variables. For data analysis, the Statistical Package for the Social Sciences software was used.

RESULTS

the door-to-antibiotic time did not differ between the group that received risk classification compared to the one that was not classified. Door-to-antibiotic time was significantly shorter in the group that received a high priority risk classification.

CONCLUSION

there was no association between door-to-antibiotic time and whether or not the risk classification was performed, nor with hospitalization in infirmaries and intensive care units, or with the length of hospital stay. It was observed that the higher the priority, the shorter the door-to-antibiotic time.

Resuscitation and Preparation of the Emergency General Surgery Patient

Traditionally, the workflow surrounding a general surgery patient allows for a period of evaluation and optimization of underlying medical issues to allow for risk modification; however, in the emergency, this optimization period is largely condensed because of its time-dependent nature. Because the lack of optimization can lead to complications, the ability to rapidly resuscitate the patient, proceed to procedural intervention to control the situation, and manage common medical comorbidities is paramount. This article provides an overview on these subjects.

Risk of Misleading Conclusions in Observational Studies of Time-to-Antibiotics and Mortality in Suspected Sepsis

BACKGROUND

Influential studies conclude that each hour until antibiotics increases mortality in sepsis. However, these analyses often (1) adjusted for limited covariates, (2) included patients with long delays until antibiotics, (3) combined sepsis and septic shock, and (4) used linear models presuming each hour delay has equal impact. We evaluated the effect of these analytic choices on associations between time-to-antibiotics and mortality.

METHODS

We retrospectively identified 104 248 adults admitted to 5 hospitals from 2015-2022 with suspected infection (blood culture collection and intravenous antibiotics ≤24 h of arrival), including 25 990 with suspected septic shock and 23 619 with sepsis without shock. We used multivariable regression to calculate associations between time-to-antibiotics and in-hospital mortality under successively broader confounding-adjustment, shorter maximum time-to-antibiotic intervals, stratification by illness severity, and removing assumptions of linear hourly associations.

RESULTS

Changing covariates, maximum time-to-antibiotics, and severity stratification altered the magnitude, direction, and significance of observed associations between time-to-antibiotics and mortality. In a fully adjusted model of patients treated ≤6 hours, each hour was associated with higher mortality for septic shock (adjusted odds ratio [aOR]: 1.07; 95% CI: 1.04-1.11) but not sepsis without shock (aOR: 1.03; .98-1.09) or suspected infection alone (aOR: .99; .94-1.05). Modeling each hour separately confirmed that every hour of delay was associated with increased mortality for septic shock, but only delays >6 hours were associated with higher mortality for sepsis without shock.

CONCLUSIONS

Associations between time-to-antibiotics and mortality in sepsis are highly sensitive to analytic choices. Failure to adequately address these issues can generate misleading conclusions.

Institutional Structures and Processes to Support Sepsis Care: A Multihospital Study

OBJECTIVES

To identify opportunities for improving hospital-based sepsis care and to inform an ongoing statewide quality improvement initiative in Michigan.

DESIGN

Surveys on hospital sepsis processes, including a self-assessment of practices using a 3-point Likert scale, were administered to 51 hospitals participating in the Michigan Hospital Medicine Safety Consortium, a Collaborative Quality Initiative sponsored by Blue Cross Blue Shield of Michigan, at two time points (2020, 2022). Forty-eight hospitals also submitted sepsis protocols for structured review.

SETTING

Multicenter quality improvement consortium.

SUBJECTS

Fifty-one hospitals in Michigan.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Of the included hospitals, 92.2% (n = 47/51) were nonprofit, 88.2% (n = 45/51) urban, 11.8% (n = 6/51) rural, and 80.4% (n = 41/51) teaching hospitals. One hundred percent (n = 51/51) responded to the survey, and 94.1% (n = 48/51) provided a sepsis policy/protocol. All surveyed hospitals used at least one quality improvement approach, including audit/feedback (98.0%, n = 50/51) and/or clinician education (68.6%, n = 35/51). Protocols included the Sepsis-1 (18.8%, n = 9/48) or Sepsis-2 (31.3%, n = 15/48) definitions; none (n = 0/48) used Sepsis-3. All hospitals (n = 51/51) used at least one process to facilitate rapid sepsis treatment, including order sets (96.1%, n = 49/51) and/or stocking of commonly used antibiotics in at least one clinical setting (92.2%, n = 47/51). Treatment protocols included guidance on antimicrobial therapy (68.8%, n = 33/48), fluid resuscitation (70.8%, n = 34/48), and vasopressor administration (62.5%, n = 30/48). On self-assessment, hospitals reported the lowest scores for peridischarge practices, including screening for cognitive impairment (2.0%, n = 1/51 responded "we are good at this") and providing anticipatory guidance (3.9%, n = 2/51). There were no meaningful associations of the Centers for Medicare and Medicaid Services' Severe Sepsis and Septic Shock: Management Bundle performance with differences in hospital characteristics or sepsis policy document characteristics.

CONCLUSIONS

Most hospitals used audit/feedback, order sets, and clinician education to facilitate sepsis care. Hospitals did not consistently incorporate organ dysfunction criteria into sepsis definitions. Existing processes focused on early recognition and treatment rather than recovery-based practices.

Association between hospital onset of infection and outcomes in sepsis patients - A propensity score matched cohort study based on health claims data in Germany

BACKGROUND

Hospital-acquired infections are a common source of sepsis. Hospital onset of sepsis was found to be associated with higher acute mortality and hospital costs, yet its impact on long-term patient-relevant outcomes and costs is unknown.

OBJECTIVE

We aimed to assess the association between sepsis origin and acute and long-term outcomes based on a nationwide population-based cohort of sepsis patients in Germany.

METHODS

This retrospective cohort study used nationwide health claims data from 23 million health insurance beneficiaries. Sepsis patients with hospital-acquired infections (HAI) were identified by ICD-10-codes in a cohort of adult patients with hospital-treated sepsis between 2013 and 2014. Cases without these ICD-10-codes were considered as sepsis cases with community-acquired infection (CAI) and were matched with HAI sepsis patients by propensity score matching. Outcomes included in-hospital/12-month mortality and costs, as well as readmissions and nursing care dependency until 12 months postsepsis.

RESULTS

We matched 33,110 HAI sepsis patients with 28,614 CAI sepsis patients and 22,234 HAI sepsis hospital survivors with 19,364 CAI sepsis hospital survivors. HAI sepsis patients had a higher hospital mortality than CAI sepsis patients (32.8% vs. 25.4%, RR 1.3, p < .001). Similarly, 12-months postacute mortality was higher (37.2% vs. 30.1%, RR=1.2, p < .001). Hospital and 12-month health care costs were 178% and 22% higher in HAI patients than in CAI patients, respectively. Twelve months postsepsis, HAI sepsis survivors were more often newly dependent on nursing care (33.4% vs. 24.0%, RR=1.4, p < .001) and experienced 5% more hospital readmissions (mean number of readmissions: 2.1 vs. 2.0, p < .001).

CONCLUSIONS

HAI sepsis patients face an increased risk of adverse outcomes both during the acute sepsis episode and in the long-term. Measures to prevent HAI and its progression into sepsis may be an opportunity to mitigate the burden of long-term impairments and costs of sepsis, e.g., by early detection of HAI progressing into sepsis, particularly in normal wards; adequate sepsis management and adherence to sepsis bundles in hospital-acquired sepsis; and an improved infection prevention and control.

The Timing of Initiating Hydrocortisone and Long-term Mortality in Septic Shock

BACKGROUND

Previous studies on the association between the timing of corticosteroid administration and mortality in septic shock focused only on short-term mortality and produced conflicting results. We performed a retrospective review of a large administrative database of intensive care unit (ICU) patients to evaluate the association between the timing of hydrocortisone initiation and short- and long-term mortality in septic shock. We hypothesized that a longer duration between the first vasopressor use for sepsis and steroid initiation was associated with increased mortality.

METHODS

Data were extracted from the Medical Information Mart in the Intensive Care-IV database. We included adults who met Sepsis-3 definition for septic shock and received hydrocortisone. The exposure of interest was the time in hours from vasopressor use to hydrocortisone initiation (>12 as late and ≤12 as early). The primary outcome was 1-year mortality. Secondary outcomes included 28-day mortality, 90-day mortality, in-hospital mortality, and length of hospital stay. Cox proportional hazard models were used to estimate the association between exposure and mortality. Competing risk regression models were used to evaluate the association between exposure and length of hospital stay.

RESULTS

A total of 844 patients were included in this cohort: 553 in the early group and 291 in the late group. The median time to hydrocortisone initiation was 7 hours (interquartile range, 2.0-19.0 hours). After multivariable Cox proportional hazard analysis, we found that hydrocortisone initiation >12 hours after vasopressor use was associated with increased 1-year mortality when compared with initiation <12 hours (adjusted hazard ratio, 1.39; 95% confidence interval, 1.13-1.71; P = .002, E-value = 2.13). Hydrocortisone initiation >12 hours was also associated with increased 28-day, 90-day, and in-hospital mortality and prolonged length of hospital stay.

CONCLUSIONS

In patients with septic shock, initiating hydrocortisone >12 hours after vasopressor use was associated with an increased risk of both short-term and long-term mortality, and a prolonged length of hospital stay.

Using machine learning for process improvement in sepsis management

INTRODUCTION

In the U.S., sepsis afflicts 1.7 million adults, causing 270,000 deaths each year. Early detection of sepsis could decrease the number of deaths by 92,000 annually and decrease hospital expenditures by 1.5 billion USD. Few prior studies and reviews have presented a holistic understanding of the relationship between machine learning and existing process improvement measures. This study, in addition to discussing machine learning and existing process improvements measures, elaborates on the disadvantages and the barriers to integrating machine learning into the clinic. This article synthesizes previous studies to educate healthcare professionals on effectively managing sepsis by leveraging the benefits of machine learning.

METHODS

This study used the PubMed database. Search terms include sepsis antibiotics, sepsis process improvement, sepsis machine learning. Our search criteria included previous studies published between January 1, 2017, and February 1, 2022.

RESULTS/DISCUSSION

Although machine learning algorithms have better predictive capabilities, their effectiveness in the clinical setting is limited as studies show mixed results because the medical staff often fails to intervene. To overcome poor interventional response, clinicians need to work with the facility's IT department to ensure integration into clinical workflow and minimize alert-fatigue. Algorithms should enhance the productivity of clinical teams, not attempt to replace them entirely.

CONCLUSION

Hospitals can employ process improvement measures that effectively utilize machine learning algorithms to ensure integration into clinical workflows. Healthcare professionals can utilize workflow tools in addition to the predictive capabilities of machine learning to enhance clinical decisions in sepsis.