Introduction
Sepsis is a leading cause of acute kidney injury (SA-AKI), associated with multiorgan failure, cardiovascular events, and increased mortality. While most research focuses on critically ill patients in intensive care units (ICU), the majority of sepsis cases are managed outside the ICU, leaving this population understudied. In this study we explore whether renal dysfunction, is an early risk marker that warrants greater recognition in patients presenting at the emergency department (ED) with severe infection at risk for development of sepsis, defined as early sepsis.
Methods
This post-hoc analysis at the Emergency Department (ED) includes patients from the Acutelines cohort (2020–2023). Kaplan-Meier curves and univariable and multivariable Cox regression analyses were used to assess the association between AKI and all-cause mortality, as well as in-hospital mortality and cardiovascular death, adjusting for potential confounders.
Results
In this study 2045 patients presented with sepsis at the ED, of which 246 (12%) had AKI. The mortality rate was 25% over a median follow-up of 346 days. AKI was associated with higher all-cause mortality (38% vs. 23%; p<0.001). After adjusting for sex, age, comorbidities, and sepsis severity, AKI remained independently associated with all-cause mortality (HR 1.44 [1.14–1.82];p=0.003), in-hospital mortality (HR 1.65 [1.16–2.34];p=0.006) and cardiovascular cause of death (HR 2.50 [1.39–4.48];p=0.002). Similar outcomes were observed in the a sub analysis excluding ICU patients.
Conclusion
SA-AKI at ED presentation is independently linked to higher all-cause, in-hospital, and cardiovascular mortality, highlighting the need for recognition across care settings and structured follow-up to improve outcomes.
Kyung Won Park, Sung Wook Song, Woo Jeong Kim, Jeong Ho Kang, Ji Hwan Bu, Sung Kgun Lee, Seo Young Ko, Soo Hoon Lee, Chang Bae Park, Jin Gu Lee, Jong Yeon Kang, Jaeyoon Ha, Jiwon Kim
Clin Exp Emerg Med 2025;12(4):358-368. Published online January 15, 2025
Objective Traumatic brain injury (TBI) often occurs alongside injuries to other body regions, worsening patient outcomes. This study evaluates the impact of concomitant injuries on clinical outcomes in patients with isolated versus non-isolated TBI.
Methods This retrospective cross-sectional analysis was conducted using data from the Emergency Department-based Injury In-depth Surveillance (EDIIS) for 180,058 TBI patients admitted to 23 tertiary hospitals from January 1, 2020, to December 31, 2022. Patients were categorized into isolated TBI group (iTBI; n=127,673) and non-isolated TBI group (niTBI; n=52,385) based on injury diagnostic codes. Clinical outcomes—24-hour and 30-day mortality, hospital admission, and interhospital transfer—were compared. Multivariate logistic regression analyses adjusted for potential confounders were performed.
Results The niTBI patients exhibited significantly higher 24-hour mortality (1.5% vs. 0.4%), 30-day mortality (2.6% vs. 1.0%), hospital admissions (24.5% vs. 8.4%), and interhospital transfers (3.6% vs. 1.1%) than iTBI patients (all P<0.001). Concomitant injuries increased the adjusted odds of 24-hour mortality (adjusted odds ratio [aOR], 1.456; 95% confidence interval [CI], 1.286–1.648) and 30-day mortality (aOR, 1.111; 95% CI, 1.022–1.208). Thoracic injuries were the most significant predictor of adverse outcomes in niTBI patients, increasing the odds of 24-hour mortality by nearly sixfold (aOR, 5.958; 95% CI 5.057–7.019).
Conclusions Concomitant injuries significantly worsen clinical outcomes in TBI patients, with thoracic injuries being the most critical predictor of mortality. These findings highlight the importance of comprehensive trauma assessments and targeted prevention strategies to improve survival rates and optimize resource allocation for patients with multiple injuries.
Objective Acute cardiogenic pulmonary edema (ACPE) is a frequently encountered medical emergency associated with high early mortality rates, but existing tools to predict short-term outcomes for risk stratification have several limitations. Our aim was to derive and validate a simple clinical scoring system using baseline vital signs, clinical and presenting characteristics, and readily available laboratory tests for accurate prediction of short-term mortality in individuals experiencing ACPE.
Methods This retrospective cohort study comprised 1,088 patients with ACPE from six health centers. Subjects were randomly allocated into derivation and validation cohorts at a 4:3 ratio for comprehensive examination and validation of the prognostic model. Independent predictors of mortality (P<0.05) from the multivariable model were included in the risk score. Discriminant ability of the model was tested by receiver operating characteristic analysis.
Results In the derivation cohort (623 patients), age, blood urea nitrogen, heart rate, intubation, anemia, and systolic blood pressure were identified as independent predictors of mortality in multivariable analysis. These variables were used to develop a risk score ranging from 0 to 6 by scoring each of these factors as 0 or 1. The SABIHA (systolic blood pressure, age, blood urea nitrogen, invasive mechanical ventilation requirement, heart rate, and anemia) score provided good calibration with a concordance index of 0.879 (95% confidence interval, 0.821–0.937). While the probability of short-term mortality was 80.0% in the high-risk group, this rate was only 3.3% in the low-risk group. The SABIHA score also performed well on the validation set.
Conclusion A simple clinical score consisting of routinely obtained variables can be used to predict short-term outcomes in patients with ACPE.
Following the 2011 ban on paraquat sales, Korea has witnessed a significant reduction in the mortality rate associated with acute pesticide poisoning. Traditionally, paraquat and diquat, alongside several highly toxic organophosphates, carbamates, and organochlorine insecticides, have been recognized as culprits in causing fatalities among patients with acute pesticide poisoning. However, despite global efforts to curtail the use of these highly toxic pesticides, certain pesticides still exhibit a level of lethality surpassing their established clinical toxicity profiles. Understanding the clinical progression of these pesticides is paramount for physicians and toxicologists, as it holds the potential to enhance patient prognoses in cases of acute poisoning. This review aims to address the persistence of such highly lethal pesticides, which continue to pose a grave threat to victims of acute poisoning.
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Objective Effective triage of febrile patients in the emergency department is crucial during times of overcrowding to prioritize care and allocate resources, especially during pandemics. However, available triage tools often require laboratory data and lack accuracy. We aimed to develop a simple and accurate triage tool for febrile patients by modifying the quick Sequential Organ Failure Assessment (qSOFA) score.
Methods We retrospectively analyzed data from 7,303 febrile patients and created modified versions of qSOFA using factors identified through multivariable analysis. The performance of these modified qSOFAs in predicting in-hospital mortality and intensive care unit (ICU) admission was compared using the area under the receiver operating characteristic curve (AUROC).
Results Through multivariable analysis, the identified factors were age (“A” factor), male sex (“M” factor), oxygen saturation measured by pulse oximetry (SpO2; “S” factor), and lactate level (“L” factor). The AUROCs of ASqSOFA (in-hospital mortality: 0.812 [95% confidence interval, 0.789–0.835]; ICU admission: 0.794 [95% confidence interval, 0.771–0.817]) were simple and not inferior to those of other more complex models (e.g., ASMqSOFA, ASLqSOFA, and ASMLqSOFA). ASqSOFA also displayed significantly higher AUROC than other triage scales, such as the Modified Early Warning Score and Korean Triage and Acuity Scale. The optimal cutoff score of ASqSOFA for the outcome was 2, and the score for redistribution to a lower level emergency department was 0.
Conclusion We demonstrated that ASqSOFA can be employed as a simple and efficient triage tool for emergency febrile patients to aid in resource distribution during overcrowding. It also may be applicable in prehospital settings for febrile patient triage.
Objective The global spread of the COVID-19 pandemic has affected all aspects of medicine, including orthopedic trauma surgery. This study aims to investigate whether COVID-19 patients who underwent orthopedic surgery trauma had a higher risk of postoperative mortality.
Methods ScienceDirect, the Cochrane COVID-19 Study Register, and MEDLINE were searched for original publications. This study adhered to the PPRISMA 2020 statement. The validity of the studies was evaluated using a checklist developed by the Joanna Briggs Institute. Study and participant characteristics, as well as the odds ratio, were extracted from selected publications. Data were analyzed using RevMan ver. 5.4.1.
Results After applying the inclusion and exclusion criteria, 16 articles among 717 total were deemed eligible for analysis. Lower-extremity injuries were the most common condition, and pelvic surgery was the most frequently performed intervention. There were 456 COVID-19 patients (6.12%) and 134 deaths among COVID-19 patients, revealing an increase in mortality (29.38% vs. 5.30%; odds ratio, 7.72; 95% confidence interval, 6.01–9.93; P<0.001).
Conclusion Among COVID-19 patients who received orthopedic surgery due to trauma, the postoperative death rate increased by 7.72 times.
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Methods We searched six databases for studies on mortality from sepsis and septic shock in adult patients. Primary outcomes were 28- or 30-day mortality and in-hospital mortality from sepsis and septic shock. To assess the risk of bias, we used the Newcastle-Ottawa Scale and Risk of Bias 2 tools. The protocol is registered in PROSPERO (No. CRD42022365739).
Results A total of 61 studies were included. The mortality rates from sepsis and septic shock at 28 or 30 days were 22.7% (95% confidence interval [CI], 20.0%–25.6%; I2=89%) and 27.6% (95% CI, 22.3%–33.5%; I2=98%), respectively, according to the Sepsis-3 criteria. Furthermore, in accordance with the Sepsis-3 criteria, the in-hospital mortality rates were 28.1% (95% CI, 25.2%–31.1%; I2=87%) and 34.3% (95% CI, 27.2%–42.2%; I2=97%), respectively.
Conclusion The mortality rates from sepsis and septic shock in Korea are high. In the case of septic shock, the in-hospital mortality rate is approximately 30%.
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Objective The COVID-19 pandemic might have adversely affected outcomes of patients in emergency departments (EDs). The aim of this study is to evaluate the impact of the COVID-19 pandemic on in patients admitted through the emergency department.
Methods This study is a single-center, retrospective, observational cohort study. We compared the prognosis of patients admitted through the ED before the COVID-19 pandemic (November 2018 to June 2019) and after COVID-19 (November 2020 to June 2021). The primary outcome was in-hospital mortality. Multivariable logistic regression analysis was performed to determine whether the COVID-19 pandemic was independently associated with patient prognosis.
Results The number of patients admitted through the ED before and after COVID-19 was 5,333 and 4,625, respectively. The mean ED length of stay before and after COVID-19 was 401 and 442 minutes, respectively (P<0.001). The number of in-hospital deaths before and after COVID-19 were 269 (5.0%) and 322 (7.0%), respectively (P<0.001). Multivariable logistic regression analysis showed that the COVID-19 period was significantly associated with higher in-hospital mortality (adjusted odds ratio, 1.37; 95% confidence interval, 1.12–1.67; P=0.002).
Conclusion In the COVID-19 period, in-hospital mortality increased compared to that before COVID-19 among hospitalized ED patients.
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Objective We evaluated the utility of the Korean Modified Early Warning Score (KMEWS), which combines the Modified Early Warning Score (MEWS) and the Korean Triage and Acuity Scale (KTAS), as a triage tool to screen for infection in patients who visit the emergency department.
Methods We retrospectively reviewed data extracted from electronic medical records. Patients aged ≥18 years with an infection who were admitted to the hospital via the emergency department between January 2018 and December 2019 were eligible for inclusion. The KMEWS score was calculated as the sum of the KTAS level and the MEWS score. We generated receiver operating characteristic curves and determined the area under the receiver operating characteristic curve (AUC) for the KMEWS, KTAS, MEWS, and Mortality in Emergency Department Sepsis (MEDS) scales. The primary outcome was septic shock, and secondary outcomes were intensive care unit admission and in-hospital mortality.
Results The AUC values (95% confidence interval) for predicting septic shock were as follows: KMEWS, 0.910 (0.902–0.918); MEWS, 0.896 (0.887–0.904); KTAS score, 0.809 (0.798–0.819); and MEDS, 0.927 (0.919–0.934). The AUC values (95% confidence interval) for predicting in-hospital mortality were as follows: KMEWS, 0.752 (0.740–0.764); MEWS, 0.717 (0.704–0.729); KTAS score, 0.764 (0.752–0.776); and MEDS, 0.844 (0.834–0.854). The AUC values (95% confidence interval) for predicting intensive care unit admission were as follows: KMEWS, 0.826 (0.816–0.837); MEWS, 0.782 (0.770–0.793); KTAS score, 0.821 (0.810–0.831); and MEDS, 0.839 (0.829–0.849).
Conclusion The KMEWS, which is a combination of the MEWS and the KTAS scores, might be a useful triage tool in emergency department patients who present with infection, particularly for predicting septic shock.
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Objective This study investigated the characteristics and survival rates of patients with unintentional severe trauma who visited a regional trauma center (TC) or a non-TC.
Methods This retrospective, national, population-based, observational, case-control study included patients with abnormal Revised Trauma Score from January 2018 to December 2018. We divided hospitals into two types, TC and non-TC, and compared several variables, including in-hospital mortality. Propensity score matching was used to reduce the effect of confounding variables that influence survival outcome variables.
Results Of the 25,743 patients, 5,796 visited a TC and 19,947 visited a non-TC. Compared to patients treated at non-TCs, patients treated at TCs were more likely to have a higher Injury Severity Score (TC, 11.5; non-TC, 7.4; P<0.001), higher rate of surgery or transcatheter arterial embolization (TC, 39.2%; non-TC, 17.6%; P<0.001), and higher admission rate (TC, 64.7%; non-TC, 36.9%; P<0.001) through the emergency department. After propensity score matching, 2,800 patients from both groups were analyzed. Patients in the TC had a higher survival rate than patients that were not treated in the TC (TC, 83.0%; non-TC, 78.6%; P=0.003).
Conclusion This study using Korean emergency medical services data showed that initial transport to trauma centers was associated with mortality reduction. Further research is required because of limitations with use of single-year data and retrospective design.
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Objective Given that there are no studies on diseases that occur by waiting for hospitalization, we aimed to evaluate the main causes of death in the emergency room (ER) and their relationship with overcrowding.
Methods Patients who died in the ER in the past 2 years (pediatrics and trauma victims excluded) were divided into two groups: patients who died within 6 hours of arrival (emergency department [ED] group) and patients who died later (LD group). We compared the causes of death, total vital signs, diagnostic tests performed, and therapy between the groups. We assessed for possible correlation between the number of monthly deaths per group and four variables of overcrowding: number of patients treated per month, waiting time before medical visit (W-Time), mean intervention time (I-Time), and number of patients admitted to the ward per month (NPA).
Results During the two years, 175 patients had died in our ER (52% in ED group and 48% in LD group). The total time spent in the ER was, respectively, 2.9±0.2 hours for ED group and 17.9± 1.5 hours for LD group. The more frequent cause of death was cardiovascular syndrome (30%) in ED group and sepsis (27%) and acute respiratory failure (27%) in LD group. Positive correlations between number of monthly deaths and W-Time (R2 0.51, P<0.001), I-Time (R2 0.73, P< 0.0001), and NPA (R2 0.37, P<0.01) were found only in LD group.
Conclusion Patients with sepsis and acute respiratory failure die after a long stay in the ER, and the risk increases with overcrowding. A fast-track pathway should be considered for hospital admission of critical patients.
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Objective We aimed to compare the modified National Early Warning Score (mNEWS), quick Sequential Organ Failure Assessment (qSOFA) score, modified Systemic Inflammatory Response Syndrome (mSIRS) score, and modified Search Out Severity (mSOS) score in predicting mortality and sepsis among patients suspected of first observed infections in the emergency department. The modified scores were created by removing variables for simplicity.
Methods This was a prospective cohort study that enrolled adult patients presenting at the emergency department with signs and symptoms suggesting infection. The mNEWS, qSOFA score, mSIRS score, and mSOS score were calculated using triage data. The SOFA score was a reference standard for sepsis diagnosis. All patients were monitored for up to 30 days after the initial visit to measure each scoring system’s ability to predict 30-day mortality and sepsis.
Results There were 260 patients included in the study. The 30-day mortality prediction with mNEWS ≥5 had the highest sensitivity (91.18%). The highest area under the receiver operating characteristic curve (AUC) for the 30-day mortality prediction was mNEWS (0.607), followed by qSOFA (0.605), mSOS (0.550), and mSIRS (0.423). The sepsis prediction with mNEWS ≥5 had the highest sensitivity (96.48%). The highest AUC for the sepsis prediction was also mNEWS (0.685), followed by qSOFA (0.605), mSOS (0.480), and mSIRS (0.477).
Conclusion mNEWS was an acceptable scoring system screening tool for predicting mortality and sepsis in patients with a suspected infection.
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Objective The number of deaths due to acute poisoning (AP) is on the increase. It is crucial to predict AP patient mortality to identify those requiring intensive care for providing appropriate patient care as well as preserving medical resources. The aim of this study is to predict the risk of in-hospital mortality associated with AP using an artificial neural network (ANN) model.
Methods In this multicenter retrospective study, ANN and logistic regression models were constructed using the clinical and laboratory data of 1,304 patients seeking emergency treatment for AP. The ANN model was first trained on 912/1,304 (70%) randomly selected patients and then tested on the remaining 392/1,304 (30%). Receiver operating characteristic curve analysis was used to evaluate the mortality prediction of the two models.
Results Age, endotracheal intubation status, and intensive care unit admission were significant predictors of mortality in patients with AP in the multivariate logistic regression model. The ANN model indicated age, Glasgow Coma Scale, intensive care unit admission, and endotracheal intubation status were critical factors among the 12 independent variables related to in-hospital mortality. The area under the receiver operating characteristic curve for mortality prediction was significantly higher in the ANN model compared to the logistic regression model.
Conclusion This study establishes that the ANN model could be a valuable tool for predicting the risk of death following AP. Thus, it may facilitate effective patient triage and improve the outcomes.
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Results A total of 6,596,423 younger patients and 1,737,799 older patients were included. In the medical and nonmedical older patient groups, significantly higher proportions of patients were transferred from another hospital, utilized emergency medical services, had Korean Triage and Acuity Scale scores of 1 and 2, required hospitalization, and required intensive care unit admission in the older patient group than in the younger patient group. ED and post-hospitalization mortality rates increased with age; in particular, older medical patients aged 90 or older had an in-hospital mortality rate of 9%. Older age, male sex, transfer from another hospital, emergency medical service utilization, a high Korean Triage and Acuity Scale score, systolic blood pressure <100 mmHg, respiratory rate >20/min, heart rate >100/min, body temperature <36°C, and altered mental status were associated with in-hospital mortality.
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Objective This study aimed to determine whether there is a difference in mortality and medical resource utilization between geriatric (aged ≥65 years) and super-geriatric patients (aged ≥80 years) with traumatic brain injury (TBI).
Methods We obtained comprehensive data (demographics, injury characteristics, injury severities, and outcomes) of geriatric and super-geriatric TBI patients from an emergency department-based injury surveillance system database from 2011 to 2016. Multivariate logistic regression analysis was performed to compare the mortality and nonroutine discharge (NRDC) status between both groups.
Results Among 442,533 TBI patients, 48,624 were older than 65 years. A total of 48,446 patients (37,140 geriatric and 11,306 super-geriatric) without exclusion criteria were included in the final analysis. Both overall in-hospital mortality (adjusted odds ratio, 1.88; 95% confidence interval [CI], 1.28 to 2.74; P=0.001) and NRDC (adjusted odds ratio, 1.35; 95% CI, 1.07 to 1.71; P=0.011) were significantly higher in the super-geriatric group. In the stratified analysis, there were no significant differences in NRDC rate for all stratifications of treatment timing (emergency department vs. ward admission), but mortality remained to be significant for all stratifications.
Conclusion Super-geriatric TBI patients showed a significantly higher risk-adjusted overall mortality and more inadequate medical resource utilization than did geriatric TBI patients. However, super-geriatric patients were more likely to undergo NRDC after admission; thus, further research about age-related health inequalities is needed in the treatment of super-geriatric patients.
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