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.
Daun Jeong, Minyoung Choi, Seung Jin Maeng, Hanbeom Yoon, Jong Eun Park, Gun Tak Lee, Sung Yeon Hwang, Tae Gun Shin, Sung Phil Chung, Tae Ho Lim, on behalf of the Korean Shock Society
In Press, Received October 15, 2025 Accepted December 29, 2025 Available online January 14, 2026
Objective Sepsis remains a major clinical challenge because of its complex, heterogeneous, and multidimensional clustering patterns. This study aimed to investigate the association between vasopressor administration and machine learning–derived clusters based on initial vital signs and lactate measurements obtained in emergency department (ED) and intensive care unit (ICU) settings.
Methods A retrospective cohort analysis was performed using data from the Korean Shock Society Septic Shock (KOSS) Registry (septic shock in the ED) and the Marketplace for Medical Information in Intensive Care (MIMIC)-IV database (ICU patients with suspected infection). To derive clusters, k-means clustering was applied to six initial vital signs and serum lactate measurements. The primary outcome was vasopressor administration. Secondary outcomes included second vasopressor administration and 28-day mortality.
Results A total of 17,500 patients were included in the analysis (KOSS cohort, n=7,130; MIMIC-IV cohort, n=10,370). K-means clustering identified three distinct clusters in each cohort. In the KOSS cohort, Cluster 3 was characterized by the lowest mean arterial pressure (MAP) (62 mmHg [IQR, 53–71]) and the highest diastolic shock index (DSI) (2.6 [2.3–3.0]). This cluster was associated with the highest rates of vasopressor administration (93.9%), second vasopressor administration (33.5%), and 28-day mortality (25.3%) (all p<0.001). Comparable physiological and clinical patterns were observed in the MIMIC-IV cohort, in which Cluster 3 likewise demonstrated the lowest MAP (68 mmHg [60–76]) and highest DSI (2.0 [1.8–2.3]). This group similarly exhibited the poorest outcomes, including vasopressor administration (41.0%), second vasopressor administration (16.7%), and 28-day mortality (29.0%).
Conclusion Machine learning–derived clusters based on initial vital signs and serum lactate levels demonstrated different patterns of vasopressor use and mortality. The clinical utility of this approach for guiding timely or targeted vasopressor therapy requires prospective validation.
Objective Sepsis, a life-threatening organ dysfunction, is a major global health concern. Early detection remains challenging due to nonspecific symptoms. Noninvasive tools such as the shock index, diastolic shock index, capillary refill time (CRT), and mottling score (MS) could help clinicians assess hemodynamic status and predict mortality, but a comprehensive comparison of their prognostic value is lacking. This study compares the performance of those four tools in predicting mortality in septic patients at 24 hours, 7 days, and 28 days. Methods A single-center, prospective observational study was conducted from January to September 2024. Adult patients (≥18 years) with suspected infection and a National Early Warning Score-2 of ≥5 were enrolled. Demographic data, vital signs, and CRT and MS results were collected at presentation, and mortality outcomes were recorded at 24 hours, 7 days, and 28 days. Results In total, 135 patients were included (median age, 85 years [interquartile range, 79–90 years]; 44.4% female). The mortality rates were 15.6% at 24 hours, 25.2% at 7 days, and 35.6% at 28 days. CRT showed the highest predictive value for 24-hour mortality (area under the curve [AUC], 0.829; 95% confidence interval [CI], 0.755–0.889), and MS had the best performance at 7 days (AUC, 0.732; 95% CI, 0.646–0.806) and at 28 days (AUC, 0.749; 95% CI, 0.662–0.823). No significant differences emerged in pairwise comparisons. Conclusion Although no one tool significantly outperformed the others, all four tools may provide useful, noninvasive mortality prediction in sepsis. CRT may be most effective for early risk stratification and MS correlates with mid-term outcomes, supporting their integration into clinical assessments.
Sepsis is associated with high morbidity and mortality rates in hospitalized patients. This condition has a complex pathophysiology and can swiftly progress to the severe form of septic shock, which can lead to organ dysfunction, organ failure, and death. Metabolomics has transformed the clinical and research topography of sepsis, with application to prognosis, diagnosis, and risk assessment. Metabolomics involves detecting and analyzing levels of metabolites in blood (plasma, serum, and/or erythrocytes) and urine; when applied in sepsis, this technology can improve our understanding of the pathogenesis of the disease and aid in better disease management by identifying early biomarkers. For this review article, “metabolomics,” “sepsis,” and “septic shock” were keywords used to search records in various databases including PubMed and Scopus from their inception until December 2023. This review article summarizes information regarding metabolic profiling performed in sepsis and septic shock and illustrates how metabolomics is advancing the diagnosis and prognosis of patients with sepsis.
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Objective Many studies have examined the July effect. However, little is known about the July effect in sepsis. We hypothesized that the July effect would result in worse outcomes for patients with sepsis. Methods Data from patients with sepsis, collected prospectively between January 2018 and December 2021, were analyzed. In Korea, the new academic year starts on March 1, so the “July effect” appears in March. The primary outcome was 30-day mortality. Secondary outcomes included adherence to the Surviving Sepsis Campaign bundle. Outcomes in March were compared to other months. A multivariate Cox proportional hazard regression was performed to adjust for confounders. Results We included 843 patients. There were no significant differences in sepsis severity. The 30-day mortality in March was higher (49.0% vs. 28.5%, P<0.001). However, there was no difference in bundle adherence in March (42.2% vs. 48.0%, P=0.264). The multivariate Cox proportional hazard regression showed that the July effect was associated with 30-day mortality in patients with sepsis (adjusted hazard ratio, 1.925; 95% confidence interval, 1.405–2.638; P<0.001). Conclusion The July effect was associated with 30-day mortality in patients with sepsis. However, bundle adherence did not differ. These results suggest that the increase in mortality during the turnover period might be related to unmeasured in-hospital management. Intensive supervision and education of residents caring for patients with sepsis is needed in the beginning of training.
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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.
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Clin Exp Emerg Med 2022;9(3):176-186. Published online September 30, 2022
Objective We evaluated the performance of diastolic shock index (DSI) and lactate in predicting vasopressor requirement among hypotensive patients with suspected infection in an emergency department.
Methods This was a single-center, retrospective observational study for adult patients with suspected infection and hypotension in the emergency department from 2018 to 2019. The study population was split into derivation and validation cohorts (70/30). We derived a simple risk score to predict vasopressor requirement using DSI and lactate cutoff values determined by Youden index. We tested the score by the area under the receiver operating characteristic curve (AUC). We performed a multivariable regression analysis to evaluate the association between the timing of vasopressor treatment and 28-day mortality.
Results A total of 1,917 patients were included. We developed a score, assigning 1 point each for the high DSI (≥2.0) and high lactate (≥2.5 mmol/L) criteria. The AUCs of the score were 0.741 (95% confidence interval [CI], 0.715–0.768) at hypotension and 0.736 (95% CI, 0.708–0.763) after initial fluid challenge in the derivation cohort and 0.676 (95% CI, 0.631–0.719) at hypotension and 0.688 (95% CI, 0.642–0.733) after initial fluid challenge in the validation cohort, respectively. In patients with scores of 2 points, early vasopressor therapy initiation was significantly associated with decreased 28-day mortality (adjusted odds ratio, 0.37; 95% CI, 0.14–0.94).
Conclusion A prediction model with DSI and lactate levels might be useful to identify patients who are more likely to need vasopressor administration among hypotensive patients with suspected infection.
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Modified Cardiovascular Sequential Organ Failure Assessment Score in Sepsis: External Validation in Intensive Care Unit Patients Byuk Sung Ko, Seung Mok Ryoo, Eunah Han, Hyunglan Chang, Chang June Yune, Hui Jai Lee, Gil Joon Suh, Sung-Hyuk Choi, Sung Phil Chung, Tae Ho Lim, Won Young Kim, Jang Won Sohn, Mi Ae Jeong, Sung Yeon Hwang, Tae Gun Shin, Kyuseok Kim Journal of Korean Medical Science.2023;[Epub] CrossRef
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Using the diastolic shock index to determine when to promptly administer vasopressors in patients with septic shock Gustavo A. Ospina-Tascón, Gustavo García-Gallardo, Nicolás Orozco Clinical and Experimental Emergency Medicine.2022; 9(4): 367. CrossRef
Objective Steroids are used in cases of sepsis, especially in patients experiencing septic shock. However, clinical trials to date have reported contradictory results. Different patient endotypes and variations in the type and dose of steroid may be at fault for this discrepancy, and further investigation is warranted. In this paper, we propose a new DEXA-SEPSIS study design.
Methods We plan to conduct a multicenter, double-blinded randomized pilot study (DEXA-SEPSIS) investigating the feasibility and safety of early use of dexamethasone in sepsis. Participants will be high-risk septic patients presenting to the emergency department with a systolic blood pressure of <90 mmHg or serum lactate level of >2 mmol/L. Participants will be randomized to the following three groups: control, 0.1 mg/kg of dexamethasone, or 0.2 mg/kg of dexamethasone per day for 1 to 2 days. The primary outcome will be 28-day mortality. Secondary outcomes will include time to septic shock, shock reversal, additional steroid administration, number of ventilator-free days, use of continuous renal-replacement therapy, length of stay in the intensive care unit and/or hospital, delta Sequential Organ Failure Assessment score on days 3 and 7, superinfection, gastrointestinal bleeding, hypernatremia, and hyperglycemia.
Discussion The DEXA-SEPSIS study will provide insight regarding the feasibility and safety of early use of dexamethasone in high-risk sepsis. The results could provide data to design a future phase III study.
Trial registration ClinicalTrials.gov Identifier: NCT05136560
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Effects of NF-κB Inhibitor on Sepsis Depend on the Severity and Phase of the Animal Sepsis Model Ye Jin Park, Jinkun Bae, Jae-Kwang Yoo, So-Hee Ahn, Seon Young Park, Yun-Seok Kim, Min Ji Lee, Seon Young Moon, Tae Nyoung Chung, Chulhee Choi, Kyuseok Kim Journal of Personalized Medicine.2024; 14(6): 645. CrossRef
High expression of L-GILZ transcript variant 1 (GILZ TV 1) is associated with increased 30-day sepsis mortality, and a high expression ratio possibly contraindicates hydrocortisone administration Stefan Rusev, Patrick Thon, Birte Dyck, Dominik Ziehe, Tim Rahmel, Britta Marko, Lars Palmowski, Hartmuth Nowak, Björn Ellger, Ulrich Limper, Elke Schwier, Dietrich Henzler, Stefan Felix Ehrentraut, Lars Bergmann, Matthias Unterberg, Michael Adamzik, Björ Critical Care.2024;[Epub] CrossRef
Heesu Park, Tae Gun Shin, Won Young Kim, You Hwan Jo, Yoon Jung Hwang, Sung-Hyuk Choi, Tae Ho Lim, Kap Su Han, Jonghwan Shin, Gil Joon Suh, Gu Hyun Kang, Kyung Su Kim, Korean Shock Society investigators
Clin Exp Emerg Med 2022;9(2):84-92. Published online June 30, 2022
Objective We investigated the effects of a quick Sequential Organ Failure Assessment (qSOFA)–negative result (qSOFA score <2 points) at triage on the compliance with sepsis bundles among patients with sepsis who presented to the emergency department (ED).
Methods Prospective sepsis registry data from 11 urban tertiary hospital EDs between October 2015 and April 2018 were retrospectively reviewed. Patients who met the Third International Consensus Definitions for Sepsis and Septic Shock criteria were included. Primary exposure was defined as a qSOFA score ≥2 points at ED triage. The primary outcome was defined as 3-hour bundle compliance, including lactate measurement, blood culture, broad-spectrum antibiotics administration, and 30 mL/kg crystalloid administration. Multivariate logistic regression analysis to predict 3-hour bundle compliance was performed.
Results Among the 2,250 patients enrolled in the registry, 2,087 fulfilled the sepsis criteria. Only 31.4% (656/2,087) of the sepsis patients had qSOFA scores ≥2 points at triage. Patients with qSOFA scores <2 points had lower lactate levels, lower SOFA scores, and a lower 28-day mortality rate. Rates of compliance with lactate measurement (adjusted odds ratio [aOR], 0.47; 95% confidence interval [CI], 0.29–0.75), antibiotics administration (aOR, 0.64; 95% CI, 0.52–0.78), and 30 mL/kg crystalloid administration (aOR, 0.62; 95% CI, 0.49–0.77) within 3 hours from triage were significantly lower in patients with qSOFA scores <2 points. However, the rate of compliance with blood culture within 3 hours from triage (aOR, 1.66; 95% CI, 1.33–2.08) was higher in patients with qSOFA scores <2 points.
Conclusion A qSOFA-negative result at ED triage is associated with low compliance with lactate measurement, broad-spectrum antibiotics administration, and 30 mL/kg crystalloid administration within 3 hours in sepsis 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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Methods Two groups of adults presumed to have non-septic infection (n=87) and sepsis (n=54) were enrolled in this prospective study in a single emergency department, and they were compared to sex-, age-, and height-matched (1:3 ratio) healthy controls (n=11,190) from retrospective data in a health promotion center. Total body water (TBW), intracellular water (ICW), and extracellular water (ECW), determined using direct segmental multi-frequent bioelectrical impedance analysis (InBody S10) were expressed as indices for normalization by body weight (BW). The ratio of ECW to TBW (ECW/TBW) was evaluated to determine body water distribution.
Results TBW/BW, ICW/BW, and ECW/BW were significantly higher in the non-septic infection group than in the healthy group (P<0.001), but ECW/TBW was not significantly different (P=0.690). There were no differences in TBW/BW and ICW/BW between the sepsis and healthy groups (P=0.083 and P=0.963). However, ECW/BW and ECW/TBW were significantly higher in the sepsis group than in the healthy group (P<0.001).
Conclusion Compared to the healthy group, the ratio of body water to BW was significantly increased in the non-septic infection group, while ECW/BW and ECW/TBW were significantly increased in the sepsis group. These indices could be utilized as diagnostic variables of body water deficit in septic patients.
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Objective No studies have evaluated the diagnostic value of ischemia-modified albumin (IMA) for the early detection of sepsis/septic shock in patients presenting to the emergency department (ED). We aimed to assess the usefulness of IMA in diagnosing sepsis/septic shock in the ED.
Methods This retrospective, observational study analyzed IMA, lactate, high sensitivity C-reactive protein, and procalcitonin levels measured within 1 hour of ED arrival. Patients with suspected infection meeting at least two systemic inflammatory response syndrome criteria were included and classified into the infection, sepsis, and septic shock groups using Sepsis-3 definitions. Areas under the receiver operating characteristic curves (AUCs) with 95% confidence intervals (CIs) and multivariate logistic regression were used to determine diagnostic performance.
Results This study included 300 adult patients. The AUC (95% CI) of IMA levels (cut-off ≥85.5 U/mL vs. ≥87.5 U/mL) was higher for the diagnosis of sepsis than for that of septic shock (0.729 [0.667–0.791] vs. 0.681 [0.613–0.824]) and was higher than the AUC of procalcitonin levels (cut-off ≥1.58 ng/mL, 0.678 [0.613–0.742]) for the diagnosis of sepsis. When IMA and lactate levels were combined, the AUCs were 0.815 (0.762–0.867) and 0.806 (0.754–0.858) for the diagnosis of sepsis and septic shock, respectively. IMA levels independently predicted sepsis (odds ratio, 1.05; 95% CI, 1.00–1.09; P=0.029) and septic shock (odds ratio, 1.07; 95% CI, 1.02–1.11; P=0.002).
Conclusion Our findings indicate that IMA levels are a useful biomarker for diagnosing sepsis/ septic shock early, and their combination with lactate levels can enhance the predictive power for early diagnosis of sepsis/septic shock in the ED.
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Objective The aim of the study was to compare the mortality rates of patients with early-identified (EI) sepsis and late-identified (LI) sepsis.
Methods We performed a retrospective chart review of patients admitted to the emergency department and diagnosed with sepsis. EI sepsis was defined as patients with a Sequential Organ Failure Assessment (SOFA) score ≥2, based on 3 parameters of the SOFA score (Glasgow coma scale, mean arterial pressure, and partial pressure of oxygen/fraction of inspired oxygen ratio), measured within an hour of emergency department admission. The remaining patients were defined as LI sepsis. The primary outcome was in-hospital mortality.
Results Of the total 204 patients with sepsis, 113 (55.4%) had EI sepsis. Overall mortality rate was 15.7%, and EI sepsis group had significantly higher mortality than LI sepsis (23.0% vs. 6.6%, P=0.003). The patients with EI sepsis, compared to those with LI sepsis, had higher SOFA score (median: 4 vs. 2, P<0.001); Acute Physiology and Chronic Health Evaluation (APACHE) II score (median: 14 vs. 10, P<0.001); were more likely to progress to septic shock within 6 hours after admission (17.7% vs. 1.1%, P<0.001); were more likely to be admitted to the intensive care unit (2.2% vs. 1.1%, P=0.001).
Conclusion Mortality was significantly higher in the EI sepsis group than in the LI sepsis group.
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Objective The quick sequential organ failure assessment (qSOFA) score, which includes mentation, systolic blood pressure, and respiratory rate, was developed to identify serious sepsis in out-of-hospital or emergency department (ED) settings. We evaluated the ability of the qSOFA score to predict poor outcome in South Korean ED patients with suspected infection.
Methods The qSOFA score was calculated for adult ED patients with suspected infection. Patients who received intravenous or oral antibiotics in the ED were considered to have infection. In-hospital mortality rate, admission rate, intensive care unit (ICU) admission rate, length of hospital stay (LOS), and lactate levels were compared between the qSOFA score groups. Receiver operating characteristic curves and area under the receiver operating characteristic curve values for in-hospital mortality were calculated according to qSOFA cut-off points and lactate levels.
Results Of 2,698 patients, in-hospital mortality occurred in 134 (5.0%). The mortality rate increased with increasing qSOFA score (2.2%, 6.4%, 17.5%, and 42.4% for qSOFA scores 0, 1, 2, and 3, respectively, P<0.001). The admission rate, ICU admission rate, LOS, and lactate level also increased with increasing qSOFA score (all P<0.001). The area under the receiver operating characteristic curve values for predicting in-hospital mortality associated with qSOFA score, lactate ≥2 mmol/L, and lactate ≥4 mmol/L were 0.719 (95% confidence interval [CI], 0.670 to 0.768), 0.657 (95% CI, 0.603 to 0.710), and 0.632 (95% CI, 0.571 to 0.693), respectively.
Conclusion Patients with a higher qSOFA score had higher admission, ICU admission, and in-hospital mortality rates, longer LOS, and higher lactate level. The qSOFA score showed better performance for predicting poor outcome than lactate level.
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Objective To test the hypothesis that the quick Sepsis-related Organ Failure Assessment (qSOFA) score, derived from vital signs taken during triage and recommended by current sepsis guidelines for screening patients with infections for organ dysfunction, is not sensitive enough to predict the risk of mortality in emergency department (ED) sepsis patients.
Methods Patients diagnosed with severe sepsis and septic shock using the old definition between May 2014 and April 2015 were retrospectively reviewed in three urban tertiary hospital EDs. The sensitivities of systemic inflammatory response syndrome (SIRS) criteria, qSOFA, and Sequential Organ Failure Assessment (SOFA) scores ≥2 were compared using McNemar’s test. Diagnostic performances were evaluated using specificity, positive predictive value, and negative predictive value.
Results Among the 928 patients diagnosed with severe sepsis or septic shock using the old definition, 231 (24.9%) died within 28 days. More than half of the sepsis patients (493/928, 53.1%) and more than one-third of the mortality cases (88/231, 38.1%) had a qSOFA score <2. The sensitivity of a qSOFA score ≥2 was 61.9%, which was significantly lower than the sensitivity of SIRS ≥2 (82.7%, P<0.001) and SOFA ≥2 (99.1%, P<0.001). The specificity, positive predictive value, and negative predictive value of a qSOFA score ≥2 for 28-day mortality were 58.1%, 32.9%, and 82.2%, respectively.
Conclusion The current clinical criteria of the qSOFA are less sensitive than the SIRS assessment and SOFA to predict 28-day mortality in ED patients with sepsis.
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