Objective assessment of nursing workload in an intermediate care unit: A prospective observational study.

OBJECTIVES: To systematically assess the nursing workload in an Intermediate Care Unit. DESIGN: Single-centre prospective observational study. The nursing activities within the initial 72 h of hospitalization were recorded on a prespecified chart and standardized as activities/5 min/patient/day. SETTING: This study was conducted at the Intermediate Care Unit of the Altovicentino Hospital (Italy) from September 1 to December 31, 2022. MAIN OUTCOME MEASURE: We considered working overload as an average number of nursing activities/5 min/patient/day higher than the 85th percentile and investigated independent risk factors associated with it. RESULTS: A total of 183 patients were included. During their hospital stay, the average number of nursing activities per patient was 30 per 5-minute interval per day (range: 22-40). On the first day of hospitalization, the primary activities were predominantly administrative and managerial tasks. In contrast, on the second day, activities related to therapeutic management and primary care predominated. Various scores related to the patient's condition, including comorbidity, functionality, frailty, intensity, and severity, were analyzed for their association with nursing workload using multivariate analysis. However, only the National Early Warning Score was found to be an independent risk factor for nursing workload overload (OR 1.399, 95 % CI 1.205-1.624, p < 0.001). CONCLUSION: The study results demonstrated a significant variation in nursing workload within the same department. Subsequent studies are necessary to confirm the ability of the National Early Warning Score in predicting nursing over workload. IMPLICATION FOR CLINICAL PRACTICE: This study provides a detailed analysis of nursing workload in intermediate care settings, emphasizing the need for adequate resource allocation due to the potential for rapid deterioration in patients' conditions. By correlating nursing activities with patient severity indices, such as the National Early Warning Score, the findings support more effective organizational strategies to enhance care for patients at high risk of health decline.

Progression to refractory status epilepticus: A machine learning analysis by means of classification and regression tree analysis.

BACKGROUND AND OBJECTIVES: to identify predictors of progression to refractory status epilepticus (RSE) using a machine learning technique. METHODS: Consecutive patients aged ≥ 14 years with SE registered in a 9-years period at Modena Academic Hospital were included in the analysis. We evaluated the risk of progression to RSE using logistic regression and a machine learning analysis by means of classification and regression tree analysis (CART) to develop a predictive model of progression to RSE. RESULTS: 705 patients with SE were included in the study; of those, 33 % (233/705) evolved to RSE. The progression to RSE was an independent risk factor for 30-day mortality, with an OR adjusted for previously identified possible univariate confounders of 4.086 (CI 95 % 2.390-6.985; p < 0.001). According to CART the most important variable predicting evolution to RSE was the impaired consciousness before treatment, followed by acute symptomatic hypoxic etiology and periodic EEG patterns. The decision tree identified 14 nodes with a risk of evolution to RSE ranging from 1.5 % to 90.8 %. The overall percentage of success in classifying patients of the decision tree was 79.4 %; the percentage of accurate prediction was high, 94.1 %, for those patients not progressing to RSE and moderate, 49.8 %, for patients evolving to RSE. CONCLUSIONS: Decision-tree analysis provided a meaningful risk stratification based on few variables that are easily obtained at SE first evaluation: consciousness before treatment, etiology, and severe EEG patterns. CART models must be viewed as potential new method for the stratification RSE at single subject level deserving further exploration and validation.

Challenges and peculiarities of nursing activities in intermediate care units compared with internal medicine wards: A prospective study.

BACKGROUND: Intermediate Care Units (IMCs) are specialized facilities located within other departments in many Western countries. They are designed to manage patients with conditions that are not severe enough to require an intensive care unit. IMCs aim to fill the gap between regular wards and intensive care units, necessitating an adequate allocation of nursing resources. AIMS: The aims of the study are to (1) evaluate and compare the nursing workload for patients admitted to a regular ward or to an IMC; (2) quantify nursing workload in terms of activities and time spent to perform them; and (3) evaluate which patient characteristics predict nursing work overload. STUDY DESIGN AND METHODS: This is an observational, prospective, single-centre study. We included patients admitted to the Internal Medicine department in a general hospital in Italy, between 1 September and 31 December 2022, either in the regular ward or in the IMC. Clinical characteristics, comorbidity, functionality, frailty, severity and acuity of patients were recorded using validated assessment tools. Nursing activities in the first 3 days of hospitalization were recorded and standardized as activities/5 min/patient/day. An average number of nursing activities/5 min/patient/day exceeding the 85th percentile was considered nursing work overload. Multivariate logistic regression models were conducted to identify patient-related risk factors associated with nursing work overload. RESULTS: We included 333 patients, 55% (183/333) admitted to the IMC and 45% (150/333) to the regular ward. In the IMC, the average nursing activities were 32.4/5 min/patient/day compared with 22.6 in the regular ward. Nursing work overload was found in 6% (9/150) of patients admitted to the regular ward compared with 23% (42/183) in the IMC. CONCLUSION: There is a significantly higher demand for nursing care among patients in the IMC, with higher daily average of nursing activities. RELEVANCE TO CLINICAL PRACTICE: The allocation of nursing resources within the IMC should be greater than in the regular ward because of higher workload.

External validation of the TFC (triage frailty and comorbidity) tool: a prospective observational study.

Assessing patient frailty during triage evaluations has become increasingly relevant in Emergency Departments (ED). This study aimed to externally validating the Triage Frailty and Comorbidity (TFC) tool. This prospective study was conducted from June 1 to December 31, 2023. During this period, 12 triage nurses applied the TFC tool during triage evaluation of ED patients. We used receiver operating characteristic (ROC) curves and Decision Curve Analysis to assess the predictive ability of the TFC tool for a 90-day mortality (the same endpoint used during tool development) and a 30-day mortality. 1270 patients were included and 56 of them died within 90 days. The TFC tool had an AUROC of 0.894 (0.858-0.929) for 90-day mortality and 0.885 (0.834-0.938) for 30-day mortality. In Decision Curve Analysis, it yielded higher net benefits up to a threshold probability of 0.30. The externally validated TFC tool appears very effective at identifying patients with increased risk of 90-day mortality after ED attendance. It could be implemented in clinical practice and enhance the predictive ability of standard triage systems.

Establishing a common ground: the future of triage systems.

Triage systems, crucial for Emergency Departments, face unresolved doubts and issues that have not been addressed, coupled with increasing fragmentation due to a growing body of new evidence. International collaboration is essential for evidence-based triage solutions.

Assessing triage efficiency in Italy: a comparative study using simulated cases among nurses.

BACKGROUND: Emergency Departments (EDs) across Italy use different triage systems, which vary from region to region. This study aimed to assess whether nurses working in different EDs assign triage codes in a similar and standardized manner. METHODS: A multicenter observational simulation study involved the EDs of Bolzano Hospital, Merano Hospital, Pisa University Hospital, and Rovereto Hospital. All participating nurses were given 30 simulated clinical cases (vignettes) and asked to assign triage codes according to the triage systems used in their EDs. Subsequently, we assessed inter-rater agreement and evaluated if code assignment had different performance among hospitals in relation to different clinical outcomes. RESULTS: Eighty-seven nurses participated in this study. There was marked variation in assigned triage codes both across hospitals and among individual operators. The kappa values for inter-rater agreement were 0.632 for Bolzano Hospital, 0.589 for Merano Hospital, 0.464 for Pisa University Hospital, and 0.574 for Rovereto Hospital. Sensitivity and specificity levels varied considerably for the same outcomes when comparing different hospitals. CONCLUSION: There is a high degree of subjectivity in triage code assignment by ED nurses. In the interest of equitable care for patients, this variability within the same country is hardly acceptable.

Enhancing triage accuracy: The influence of nursing education on risk prediction.

AIM: This study aimed to compare the performance in risk prediction of various outcomes between specially trained triage nurses and the Manchester Triage System (MTS). DESIGN: Prospective observational study. METHODS: The study was conducted from June 1st to December 31st, 2023, at the Emergency Department of Merano Hospital. Triage nurses underwent continuous training through dedicated courses and daily audits. We compared the risk stratification performed by expert nurses with that of MTS on various outcomes such as mortality, hospitalisation, and urgency defined by the physicians. Comparisons were made using the Areas Under the Receiver Operating Characteristic curve (AUROC). RESULTS: The agreement in code classification between the MTS and the expert nurse was very low. The AUROC curve analysis showed that the expert nurse outperformed the MTS in all outcomes. The triage nurse's experience led to statistically significant better stratification in admission rates, ICU admissions, and all outcomes based on the physician's assessment. CONCLUSIONS: The continuous training of nurses enables them to achieve better risk prediction compared to standardized triage systems like MTS, emphasizing the utility and necessity of implementing continuous training pathways for these highly specialised personnel.

Assessing the utility of frailty scores in triage: a comparative study of validated scales.

Currently, there is conflicting evidence regarding the efficacy of frailty scales and their ability to enhance or support triage operations. This study aimed to assess the utility of three common frailty scales (CFS, PRISMA-7, ISAR) and determine their utility in the triage setting. This prospective observational monocentric study was conducted at Merano Hospital's Emergency Department (ED) from June 1st to December 31st, 2023. All patients attending this ED during the 80-day study period were included, and frailty scores were correlated with three outcomes: hospitalization, 30-day mortality, and severity of condition as assessed by ED physicians. Patients were categorized by age, and analyses were performed for the entire study population, patients aged 18-64, and those aged 65 or older. Univariate analysis was followed by multivariable analysis to evaluate whether frailty scores were independently associated with the outcomes. In multivariable analysis, none of the frailty scores were found to be associated with the study outcomes, except for the CFS, which was associated with an increased risk of 30-day mortality, with an odds ratio of 1.752 (95% CI 1.148-2.674; p = 0.009) in the general population and 1.708 (95% CI 1.044-2.793; p = 0.033) in the population aged ≥ 65. Presently, available frailty scores do not appear to be useful in the triage context. Future research should consider developing new systems for accurate frailty assessment to support risk prediction in the triage assessment.

Development and validation of a nomogram for assessing comorbidity and frailty in triage: a multicentre observational study.

Assessing patient frailty in the Emergency Department (ED) is crucial; however, triage frailty and comorbidity assessment scores developed in recent years are unsatisfactory. The underlying causes of this phenomenon could reside in the nature of the tools used, which were not designed specifically for the emergency context and, thus, are difficult to adapt to the emergency environment. The objective of this study was to create and internally validate a nomogram for identifying different levels of patient frailty during triage. Multicenter, prospective, observational exploratory study conducted in two ED. The study was conducted from April 1 to October 31, 2022. Following the triage assessment, the nurse collected variables related to the patient's comorbidities and chronic conditions using a predefined form. The primary outcome was the 90-day mortality rate. A total of 1345 patients were enrolled in this study; 6% died within 90 days. In the multivariate analysis, the Charlson Comorbidity Index, an altered motor condition, an altered cognitive condition, an autonomous chronic condition, arrival in an ambulance, and a previous hospitalization within 90 days were independently associated with death. The internal validation of the nomogram reported an area under the receiver operating characteristic of 0.91 (95% CI 0.884-0.937). A nomogram was created for assessing comorbidity and frailty during triage and was demonstrated to be capable of determining comorbidity and frailty in the ED setting. Integrating a tool capable of identifying frail patients at the first triage assessment could improve patient stratification.

Impact of the COVID-19 pandemic, its related social restriction measures and vaccination campaign on emergency department attendances for epileptic seizures: An interrupted time-series analysis.

AIM: To investigate the impact of the outbreak of the COVID-19 pandemic, its related social restriction measure (national lockdown) and vaccination campaign on emergency department (ED) accesses for epileptic seizures. METHODS: Retrospective observational analysis conducted on a consecutive cohort of patients who sought medical care at the ED of the General Hospital of Merano, Italy, from January 1, 2015, to December 31, 2021. We investigated the monthly ED attendances for epileptic seizures between the periods before and after the outbreak of the COVID-19 pandemic and the national lockdown (March 2020) using an interrupted time-series analysis with data standardized for 1000 accesses/month. As a further temporal cutoff, we used the start of the national vaccination campaign. RESULTS: Between January 1, 2015, and December 31, 2021, a total of 415,005 ED attendances were recorded; 1,254 (0.3 %) were due to epileptic seizures. No significant difference was found in the rate of standardized ED accesses for epileptic seizures in March 2020 (time point of interest) to the pre-pandemic trend (0.33/1000; 95 %CI: -1.05 to 1.71; p = 0.637). Similarly, there was no difference between the pre- and post-pandemic trends (-0.02/1000; 95 %CI: -0.11 to 0.06; p = 0.600). When adopting January 2021 as time point of interest, we found no difference to the pre-vaccination trend (0.83/1000; 95 %CI: -0.48 to 2.15), and no difference in the pre- and post-vaccination trends (-0.12/1000; 95 %CI: -0.27 to 0.04). CONCLUSIONS: The COVID-19 pandemic and its related social restrictions (lockdown), as well as the COVID-19 national vaccination campaign, had little impact on ED accesses for epileptic seizures.

Is the National Early Warning Score able to identify nursing activity load? A prospective observational study.

BACKGROUND: The National Early Warning Score scale correlates well with the intensity of the patient's acute condition. It could also correlate with the nursing activity load and prove useful in defining and redistributing nursing resources based on the acuity of patients. AIM: To assess whether patients' National Early Warning Score at hospital admission correlates with objective nursing demands and can be used to optimize the distribution of available care resources. METHODS: This single-center prospective study included patients admitted to the Department of Internal Medicine at the Civil Hospital in Altovicentino (Italy) between September 1 and December 31, 2022. Nursing activities were recorded for the first three days after admission and standardized to the daily mean as performance/5 min/patient/day. Linear regression was used to assess the correlation between nursing demands for different National Early Warning Scores. RESULTS: This study included 333 patients. Their mean National Early Warning Score was 3.9 (standard deviation: 2.9), with 61 % (203/333) in the National Early Warning Score <5 category, 19.5 % (65/333) in the National Early Warning Score 5-6 category, and 19.5 % (65/333) in the National Early Warning Score >6 category. Their average daily care requirements increased from 22 (16-30) activities/5 min/patient/day in the low National Early Warning Score category to 30 (20-39) activities/5 min/patient/day in the intermediate National Early Warning Score category (p < 0.001) and 35 (23-45) activities/5 min/patient/day in the high National Early Warning Score category (p < 0.001). CONCLUSION: The National Early Warning Score correlates with nursing care activities for patients with an acute condition and can be used to optimize the distribution of available care resources.

The role of lactate-to-albumin ratio to predict 30-day risk of death in patients with sepsis in the emergency department: a decision tree analysis.

BACKGROUND: Accurately estimating the prognosis of septic patients on arrival in the emergency department (ED) is clinically challenging. The lactate-to-albumin ratio (LAR) has recently been proposed to improve the predictive performance of septic patients admitted to the ICU. OBJECTIVES: This study aims to assess whether the LAR could be used as an early prognostic marker of 30-day mortality in patients with sepsis in the ED. METHODS: A prospective observational study was conducted in the ED of the Hospital of Merano. All patients with a diagnosis of sepsis were considered. The LAR was recorded on arrival in the ED. The primary outcome measure was mortality at 30 days. The predictive role of the LAR for mortality was evaluated with the area under the ROC curve, logistic regression adjusted for the Charlson Comorbidity Index value, National Early Warning Score, and Sequential Organ Failure score, and with decision tree analysis. RESULTS: 459 patients were enrolled, of whom 17% (78/459) died at 30 days. The median LAR of the patients who died at 30 days (0.78 [0.45-1.19]) was significantly higher than the median LAR of survivors (0.42 [0.27-0.65]) (p < 0.001). The discriminatory ability of the LAR for death at 30 days was 0.738, higher than that of lactate alone (0.692), and slightly lower than that of albumin alone (0.753). The decision trees confirmed the role of the LAR as an independent risk factor for mortality. CONCLUSION: The LAR can be used as an index to better predict the 30-day risk of death in septic patients.

Estimated plasma volume status is a simple and quick tool that could help define the severity of patients with infection on arrival at the emergency department.

BACKGROUND: Infectious states are subtle and rapidly evolving conditions observed daily in the emergency department (ED), and their prognostic evaluation remains a complex clinical challenge. Recently, estimated plasma volume status (ePVS) has been suggested to have a prognostic role in conditions where volemic alteration is central to the pathophysiology. The aim of this study was to verify whether ePVS recorded at ED admission can provide prognostic indications of 30-day mortality in patients with infection. METHODS: A prospective observational study was performed between 1 January 2021 and 31 December 2021 at the ED of the Merano Hospital. All patients with infection were enrolled. ePVS values were derived from haemoglobin and haematocrit measured on the immediate arrival of patients in the ED. The predictive power of ePVS for 30-day mortality was assessed using a multivariate model adjusted for severity, comorbidity and urgency. Kaplan-Meier analysis was also performed. RESULTS: Of the 949 patients with infection enrolled in the study (47.9%, SOFA ≥2), 8.9% (84/949) died at 30 days. The median ePVS value was higher in patients who died at 30 days than in patients who survived (5.83 vs. 4.61, p < 0.001). Multivariate analysis revealed that ePVS in both continuous and categorical form around the median was an independent risk factor for 30-day mortality even after adjusting for severity, comorbidity and urgency. Kaplan-Meier analysis confirmed an increased risk of death in patients with high ePVS values. CONCLUSIONS: ePVS recorded on ED admission of patients with infection was an independent predictor of risk for 30-day mortality.

Human intelligence versus Chat-GPT: who performs better in correctly classifying patients in triage?

INTRODUCTION: Chat-GPT is rapidly emerging as a promising and potentially revolutionary tool in medicine. One of its possible applications is the stratification of patients according to the severity of clinical conditions and prognosis during the triage evaluation in the emergency department (ED). METHODS: Using a randomly selected sample of 30 vignettes recreated from real clinical cases, we compared the concordance in risk stratification of ED patients between healthcare personnel and Chat-GPT. The concordance was assessed with Cohen's kappa, and the performance was evaluated with the area under the receiver operating characteristic curve (AUROC) curves. Among the outcomes, we considered mortality within 72 h, the need for hospitalization, and the presence of a severe or time-dependent condition. RESULTS: The concordance in triage code assignment between triage nurses and Chat-GPT was 0.278 (unweighted Cohen's kappa; 95% confidence intervals: 0.231-0.388). For all outcomes, the ROC values were higher for the triage nurses. The most relevant difference was found in 72-h mortality, where triage nurses showed an AUROC of 0.910 (0.757-1.000) compared to only 0.669 (0.153-1.000) for Chat-GPT. CONCLUSIONS: The current level of Chat-GPT reliability is insufficient to make it a valid substitute for the expertise of triage nurses in prioritizing ED patients. Further developments are required to enhance the safety and effectiveness of AI for risk stratification of ED patients.

The Role of Early Intubation in Status Epilepticus with Out-of-Hospital Onset: A Large Prospective Observational Study.

Background: this study aimed to evaluate the role of early airway management and intubation in status epilepticus (SE) with out-of-hospital onset. Methods: We included all patients with out-of-hospital SE onset referred to the emergency department of the Academic Hospital of Modena between 2013 and 2021. Patients were compared according to out-of-hospital airway management (intubation versus non-intubation) and a propensity score was performed for clinical variables unevenly distributed between the two groups. Results: We evaluated 711 patients with SE. A total of 397 patients with out-of-hospital SE onset were eventually included; of these, 20.4% (81/397) were intubated before arrival at the hospital. No difference was found in the clinical characteristics of patients after propensity score matching. The 30-day mortality in the propensity group was 19.4% (14/72), and no difference was found between intubated (7/36, 19.4%) and non-intubated (7/36, 19.4%) patients. No difference was found in SE cessation. Compared to non-intubated patients, those who underwent out-of-hospital intubation had a higher risk of progression to refractory or super-refractory SE, greater worsening of mRS values between hospital discharge and admission, and lower probability of returning to baseline condition at 30 days after SE onset. Conclusions: Early intubation for out-of-hospital SE onset is not associated with improved patient survival even after balancing for possible confounders. Further studies should evaluate the timing of intubation and its association with first-line treatments for SE and their efficacy. In addition, they should focus on the settings and the exact reasons leading to intubation to better inform early management of SE with out-of-hospital onset.

Prognostic role of albumin, lactate-to-albumin ratio and C-reactive protein-to-albumin ratio in infected patients.

INTRODUCTION: The prognostic evaluation of the septic patient has recently been enriched by some predictive indices such as albumin concentration, lactate/albumin ratio (LAR) and C-reactive protein/albumin ratio (CAR). The performance of these indices has been evaluated in septic patients in intensive care, but until now their performance in infected patients in the Emergency Department (ED) has not been evaluated. AIM: To investigate the potential prognostic role of albumin, LAR and CAR in patients with infection in the ED. METHODS: Single-centre prospective study performed between 1 January 2021 and 31 December 2021 at the ED of the Merano Hospital (Italy). All patients with infection were enrolled. The study outcome was death within 30 days. The predictive ability of albumin, LAR and CAR was assessed by area under the receiver operating characteristic curves (AUROCs). A multivariate logistic regression model was used to examine the association of the indices with 30-day mortality, with comorbidity, acute urgency and severity of infection as covariates. RESULTS: The study enrolled 962 patients with an infectious status. The overall 30-day mortality rate was 8.9% (86/962). The AUROC of albumin was 0.831 (95% CI 0.795-868), while for LAR this was 0.773 (CI95% 0.719-0.827) and for CAR 0.718 (CI95% 0.664-0.771). The odds ratio for 30-day mortality for albumin was 3.362 (95% CI 1.904-5.936), for ln(LAR) 2.651 (95% CI 1.646-4.270) and for ln(CAR) 1.739 (95% CI 1.326-2.281). CONCLUSIONS: All three indices had a good discriminatory ability for the risk of short-term death in patients with infection, indicating their promising use in the ED as well as in the ICU. Further studies are needed to confirm the better performance of albumin compared to LAR and CAR.

Real requirements of nursing activities and patient-related factors related to nursing overload in an internal medicine department.

Adequate nursing care can be decisive for the outcome of a patient admitted to an internal medicine ward. Individual prediction of nursing activity at the time of a patient's admission could improve the work process. This study aimed to assess the objectively assessed nursing requirements of patients admitted to a medical setting and to identify clinical factors that correlate with high demands. This is a prospective and pragmatic observational study that enrolled patients admitted to the Internal Medicine ward at the Altovicentino Civil Hospital (Italy) between September 1 and December 31, 2022. Nursing activities were recorded for the first 3 days of hospitalization and standardized as performance/5 min/patient. Patients requiring more than the 75th percentile of performance/5 min/patient were considered nursing over-activities. Multivariable models were used to assess patient-related risk factors associated with nursing over-activity. This study enrolled 333 patients (mean age: 74.2; 55.6% male). Their mean Charlson Comorbidity Index (CCI), Clinical Frailty Scale (CFS), Chronic Barthel Index, and Sistema Informtativo della Performance Infermieristica (SIPI) scores were 5.3, 4.2, 62.4, and 53.7, respectively. Mean National Early Warning System (NEWS) on admission was 3.9 (standard deviation: 2.8). A median of 73 (interquartile range [IQR]: 54-109) nursing care activities/5 min/patient were performed. NEWS score (odds ratio [OR]: 1.372, 95% confidence interval [95%CI]: 1.216-1.547, p < 0.001) and Acute Barthel Index (OR: 0.983, 95%CI: 0.967-0.999, p = 0.041) were independent risk factors for nursing over-activities. NEWS and the Acute Barthel Index could help reorganize nursing resources within internal medicine wards, allowing for an equal distribution between patients who require more resources and those who require less.

The Clinical Utility of Albumin with Sequential Organ Failure Assessment (SOFA) in Improving 30-Day Mortality Prediction in Patients with Infection in the Emergency Department.

BACKGROUND: The Sequential Organ Failure Assessment (SOFA) score is currently the primary prognostic tool used in patients with infections to predict sepsis and mortality, although its predictive role remains debated. Serum albumin values have been recently found to correlate with the severity of sepsis. The purpose of this study is to evaluate the clinical usefulness of albumin dosage on SOFA score prediction in infected patients. METHODS: This prospective single-centre observational study was performed in 2021. We used the net reclassification improvement (NRI) technique to evaluate the additional prognostic value of serum albumin used together with the SOFA score in infected patients. The discriminatory abilities of the SOFA score alone, of albumin levels alone, and of the albumin levels together with (but not incorporated into) the SOFA score was evaluated by comparing the area under the curve of the corresponding receiver operating characteristic (ROC) curves. RESULTS: We included 949 patients with an infectious status; 8.9% (84/949) died within 30 days of ED admission. The AUROC for the SOFA score was 0.802 (95% CI: 0.756-0.849) and the albumin level was 0.813 (95% CI: 0.775-0.852). The NRI found that serum albumin improved SOFA score predictions of 30-day mortality by 24.3% (p < 0.001), yielding an AUROC of 0.881 (95% CI: 0.848-0.912; p < 0.001). CONCLUSIONS: Using serum albumin values together with the SOFA score can improve prognostic prediction in patients with infections evaluated in the ED.