Emergency Patient Triage Improvement through a Retrieval-Augmented Generation Enhanced Large-Scale Language Model.

OBJECTIVES: Emergency medical triage is crucial for prioritizing patient care in emergency situations, yet its effectiveness can vary significantly based on the experience and training of the personnel involved. This study aims to evaluate the efficacy of integrating Retrieval Augmented Generation (RAG) with Large Language Models (LLMs), specifically OpenAI's GPT models, to standardize triage procedures and reduce variability in emergency care. METHODS: We created 100 simulated triage scenarios based on modified cases from the Japanese National Examination for Emergency Medical Technicians. These scenarios were processed by the RAG-enhanced LLMs, and the models were given patient vital signs, symptoms, and observations from emergency medical services (EMS) teams as inputs. The primary outcome was the accuracy of triage classifications, which was used to compare the performance of the RAG-enhanced LLMs with that of emergency medical technicians and emergency physicians. Secondary outcomes included the rates of under-triage and over-triage. RESULTS: The Generative Pre-trained Transformer 3.5 (GPT-3.5) with RAG model achieved a correct triage rate of 70%, significantly outperforming Emergency Medical Technicians (EMTs) with 35% and 38% correct rates, and emergency physicians with 50% and 47% correct rates (p < 0.05). Additionally, this model demonstrated a substantial reduction in under-triage rates to 8%, compared with 33% for GPT-3.5 without RAG, and 39% for GPT-4 without RAG. CONCLUSIONS: The integration of RAG with LLMs shows promise in improving the accuracy and consistency of medical assessments in emergency settings. Further validation in diverse medical settings with broader datasets is necessary to confirm the effectiveness and adaptability of these technologies in live environments.

Posterior reversible encephalopathy syndrome (PRES) of the isolated brainstem.

A 71-year-old man had disordered consciousness whose Glasgow Coma Scale was E4V1M5. His blood pressure was high, but there was no abnormality in the cerebrospinal fluid examination. The MRI finding reveals a high-intensity area at the pons without the blood flow interruption. Thus, he has diagnosed with brainstem PRES.

Blood Interleukin-6 Levels Predict Multiple Organ Dysfunction in Critically Ill Patients.

BACKGROUND: Predicting multiple organ dysfunction (MOD) in the late phase of critical illnesses is essential. Cytokines are considered biomarkers that can predict clinical outcomes; however, their predictive value for late-phase MOD is unknown. This study aimed to identify the biomarker with the highest predictive value for late-phase MOD. METHODS: This observational study prospectively evaluated data on adult patients with systemic inflammatory response syndrome, those who presented to the emergency department or were admitted to intensive care units in five tertiary hospitals (n = 174). Seven blood biomarkers levels (interleukin-6 [IL-6], IL-8, IL-10, tumor-necrosis factor-α, white blood cells, C-reactive protein, and procalcitonin) were measured at three timepoints (days 0, 1, and 2). The area under the receiver operating characteristic curve (AUC) was analyzed to evaluate predictive values for MOD (primary outcome, MOD on day 7 [late-phase]; secondary outcome, MOD on day 3 [early-phase]). RESULTS: Of the measured 7 biomarkers, blood IL-6 levels on day 2 had the highest predictive value for MOD on day 7 using single timepoint data (AUC 0.825, 95% confidence interval [CI] 0.754-0.879). Using three timepoint biomarkers, blood IL-6 levels had the highest predictive value of MOD on day 7 (AUC 0.838, 95% CI 0.768-0.890). Blood IL-6 levels using three timepoint biomarkers had also the highest predictive value for MOD on day 3 (AUC 0.836, 95% CI 0.766-0.888). CONCLUSION: Of the measured biomarkers, blood IL-6 levels had the highest predictive value for MOD on days 3 and 7. Blood IL-6 levels predict early- and late-phase MOD in critically ill patients.

A successful salvage therapy with daptomycin and linezolid for right-sided infective endocarditis and septic pulmonary embolism caused by methicillin-resistant Staphylococcus aureus.

Although vancomycin administration is recommended for the treatment of infective endocarditis (IE) caused by methicillin-resistant Staphylococcus aureus (MRSA), it is unclear whether an alternative agent, daptomycin, can be used to treat IE with pulmonary complications. A 26-year-old female who had undergone surgical repair of a ventricular septal defect as an early teenager presented with fever, headache, and vomiting. She was admitted to our hospital and diagnosed with right-sided IE with septic pulmonary embolism caused by MRSA. Vancomycin, rifampicin, and gentamicin were administered; however, exacerbation of drug eruption due to the antimicrobial agents on the 11th day led us to switch from vancomycin and rifampicin to daptomycin. Furthermore, we included linezolid to treat lung abscesses that accompanied the septic pulmonary embolism. We confirmed negative blood cultures on the 18th day. On the same day, a patch closure for the ventricular septal defect and tricuspid valve replacement were performed. She was discharged on the 65th day with an uneventful postoperative course. This experience suggests that daptomycin and linezolid are effective salvage therapies for right-sided IE caused by MRSA and accompanied by pulmonary complications.

Interleukin-6 Levels Act as a Diagnostic Marker for Infection and a Prognostic Marker in Patients with Organ Dysfunction in Intensive Care Units.

INTRODUCTION: There are significant unmet requirements for rapid differential diagnosis of infection in patients admitted to intensive care units. Serum levels of interleukin-6 (IL-6), procalcitonin (PCT), presepsin, and C-reactive protein (CRP) are measured in clinical practice; however, their clinical utility in patients with organ dysfunction has not been tested adequately. Thus, we investigated the diagnostic and prognostic value of IL-6, PCT, presepsin, and CRP in critically ill patients who had organ dysfunction with suspicion of infection. METHODS: In 100 consecutive critically ill patients with organ dysfunction and suspected infection, serum levels of IL-6, PCT, presepsin, and CRP were measured upon suspicion of infection and serially every other day up to 7 days (cohort 1). The primary outcome variable was the presence of infections. The diagnostic value of IL-6 was further tested in cohort 2 (n = 72, case-control matched). The secondary outcome variables were the sequential organ failure assessment (SOFA) score, serum creatinine levels, and 28-day mortality. RESULTS: Among the four biomarkers, serum IL-6 levels had the highest area under the curve (AUC) value of 0.824 (95% confidence interval [CI] 0.735-0.913) for diagnosing infection in critically ill patients with organ dysfunction and suspected infection in cohort 1 (AUC [95% CI] for the other biomarkers: PCT, 0.813 [0.714-0.911]; CRP, 0.764 [0.645-0.883]; presepsin, 0.681 [0.513-0.849]). In cohort 2, the sensitivity and specificity of IL-6 for diagnosing infection were 0.861 and 0.806, respectively. The presepsin levels were significantly correlated with the SOFA score and serum creatinine levels upon suspicion of infection (r > 0.5), especially serum creatinine levels in the patients without infection (r = 0.789). Serum IL-6 levels were significant predictors of 28-day mortality. The AUC value of serum IL-6 levels for 28-day mortality increased over time; the serum IL-6 levels on Day 7 had the highest AUC value of 0.883 (95% CI, 0.788-0.978) for 28-day mortality. CONCLUSION: Among serum IL-6, PCT, presepsin, and CRP levels, serum IL-6 levels had the highest diagnostic value for infection. They were also significant predictors of 28-day mortality. Hence, they may improve diagnosis of infection and prediction of 28-day mortality in critically ill patients with organ dysfunction.

The liver in itai-itai disease (chronic cadmium poisoning): pathological features and metallothionein expression.

Cadmium (Cd) is a highly hepatotoxic heavy metal, which is widely dispersed in the environment. Acute Cd hepatotoxicity has been well studied in experimental animals; however, effects of prolonged exposure to Cd doses on the liver remain unclear. In the present study, to evaluate chronic Cd hepatotoxicity, we examined specimens from cases of itai-itai disease, the most severe form of chronic Cd poisoning. We compared 89 cases of itai-itai disease with 27 control cases to assess Cd concentration in organs. We also examined 80 cases of itai-itai disease and 70 control cases for histopathological evaluation. In addition, we performed immunohistochemistry for metallothionein, which binds and detoxifies Cd. Hepatic Cd concentration was higher than Cd concentration in all other organs measured in the itai-itai disease group, whereas it was second highest following renal concentration in the control group. In the liver in the itai-itai disease group, fibrosis was observed at a significantly higher rate than that in the control group. Metallothionein expression was significantly higher in the itai-itai disease group than that in the control group. Prolonged exposure to low doses of Cd leads to high hepatic accumulation, which can then cause fibrosis; however, it also causes high expression of metallothionein, which is thought to reduce Cd hepatotoxicity.