Background Good sepsis management is key to successful sepsis therapy and optimal patient outcomes. Objectives: This study aimed to determine obstacles among nurses and doctors to implementing the hour-1 sepsis bundle in a secondary hospital in Indonesia.
Methods This was a qualitative study with a phenomenological approach. Data were obtained from one-on-one in-depth interviews with 13 doctors and nurses in the intensive care unit and emergency department who were purposively sampled. Data were analyzed using content analysis.
Results Five main themes were revealed in the analysis: incomplete implementation of the hour-1 sepsis bundle, lack of knowledge about the hour-1 sepsis bundle, cost issues, lack of supporting facilities, and lack of coordination among health workers.
Conclusions Optimizing regional health laboratories, optimizing the use of quick Sequential Organ Failure Assessment (qSOFA) and SOFA, and creating a series of sepsis protocols within the hospital are some solutions that secondary hospitals can implement to ensure appropriate management of sepsis cases. Involvement of health policyholders and hospital management is needed to address these challenges.
Background Despite the high mortality associated with bloodstream infection (BSI), early detection of this condition is challenging in critical settings. The objective of this study was to create a machine learning tool for rapid recognition of BSI in critically ill children.
Methods Data were extracted from a derivative cohort comprising patients who underwent at least one blood culture during hospitalization in the pediatric intensive care unit (PICU) of a tertiary hospital from January 2020 to June 2023 for model development. Data from another tertiary hospital were utilized for external validation. Variables selected for model development were age, white blood cell count with segmented neutrophil count, C-reactive protein, bilirubin, liver enzymes, glucose, body temperature, heart rate, and respiratory rate. Algorithms compared were extra trees, random forest, light gradient boosting, extreme gradient boosting, and CatBoost.
Results We gathered 1,806 measurements and recorded 290 hospitalizations from 263 patients in the derivative cohort. Median age on admission was 43 months, with an interquartile range of 10–118.75 months, and a male predominance was observed (n=160, 55.2%). Candida albicans was the most prevalent pathogen, and median duration to confirm BSI was 3 days (range, 3–4). Patients with BSI experienced significantly higher in-hospital mortality and prolonged stays in the PICU than patients without BSI. Random forest classifier achieved the highest area under the receiver operating characteristic curve of 0.874 (0.762 for the validation set).
Conclusions We developed a machine learning model that predicts BSI with acceptable performance. Further research is necessary to validate its effectiveness.
Chul Park, Nam Su Ku, Dae Won Park, Joo Hyun Park, Tae Sun Ha, Do Wan Kim, So Young Park, Youjin Chang, Kwang Wook Jo, Moon Seong Baek, Yijun Seo, Tae Gun Shin, Gina Yu, Jongmin Lee, Yong Jun Choi, Ji Young Jang, Yun Tae Jung, Inseok Jeong, Hwa Jin Cho, Ala Woo, Sua Kim, Dae-Hwan Bae, Sung Wook Kang, Sun Hyo Park, Gee Young Suh, Sunghoon Park
Acute Crit Care. 2024;39(4):445-472. Published online November 18, 2024
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.
Background Normal saline is commonly used for resuscitation in sepsis patients but has a high chloride content, potentially increasing the risk of acute kidney injury (AKI). This study evaluated risk factors and developed a predictive risk score for AKI in sepsis patients treated with normal saline. Methods: This retrospective cohort study utilized the medical and electronic health records of sepsis patients who received normal saline between January 2018 and May 2020. Predictors of AKI used to construct the predictive risk score were identified through multivariate logistic regression models, with discrimination and calibration assessed using the area under the receiver operating characteristic curve (AUROC) and the expected-to-observed (E/O) ratio. Internal validation was conducted using bootstrapping techniques. Results: AKI was reported in 211 of 735 patients (28.7%). Eight potential risk factors, including norepinephrine, the Acute Physiology and Chronic Health Evaluation II score, serum chloride, respiratory failure with invasive mechanical ventilation, nephrotoxic antimicrobial drug use, history of angiotensin-converting enzyme inhibitors/angiotensin receptor blockers use, history of liver disease, and serum creatinine were used to create the NACl RENAL-Cr score. The model demonstrated good discrimination and calibration (AUROC, 0.79; E/O, 1). The optimal cutoff was 2.5 points, with corresponding sensitivity, specificity, positive predictive value, and negative predictive value scores of 71.6%, 72.5%, 51.2%, and 86.4%, respectively. Conclusions: The NACl RENAL-Cr score, consisting of eight critical variables, was used to predict AKI in sepsis patients who received normal saline. This tool can assist healthcare professionals when deciding on sepsis treatment and AKI monitoring.
Background Delays in diagnosing sepsis in children afflicted with thermal injuries can result in high morbidity and mortality. Our study evaluated the role of the biomarkers Procalcitonin (PCT) and C-reactive protein (CRP) as predictors of early sepsis and mortality, respectively, in this group of patients. Methods: This was a prospective evaluation of 90 pediatric burn cases treated at a tertiary care burn center in Northern India. Patients, aged 1–16 years, presenting within 24 hours of being burned, with >10% body surface area of burn injury were included in the study. Levels of PCT and CRP were measured on days 1, 3, 5, and 7. Patients were followed until discharge, 30th post-burn day, or death, whichever occurred first. Results: Sepsis was clinically present in 49 of 90 (54.4%) cases with a median 30% total body surface area (TBSA) of burns. Mortality was seen in 31 of 90 (34.4%) cases with a median of 35% TBSA burns. High PCT and CRP were seen in the sepsis group, particularly on days 3, 5, and 7. PCT was also significantly higher in the mortality group (days 1 and 3). Conclusions: While PCT was a good early predictor of sepsis and mortality in children with burns, CRP was reliable as a predictor of sepsis only. Both markers, however, can serve as adjuncts to culture sensitivity reports for diagnosing early onset sepsis and initiation of antibiotic therapy in appropriate patients.
Gender disparities in intensive care unit (ICU) treatment approaches and outcomes are evident. However, clinicians often pay little attention to the importance of biological sex and sociocultural gender in their treatment courses. Previous studies have reported that differences between sexes or genders can significantly affect the manifestation of diseases, diagnosis, clinicians' treatment decisions, scope of treatment, and treatment outcomes in the intensive care field. In addition, numerous reports have suggested that immunomodulatory effects of sex hormones and differences in gene expression from X chromosomes between genders might play a significant role in treatment outcomes of various diseases. However, results from clinical studies are conflicting. Recently, the need for customized treatment based on physical, physiological, and genetic differences between females and males and sociocultural characteristics of society have been increasingly emphasized. However, interest in and research into this field are remarkably lacking in Asian countries, including South Korea. Through this review, we hope to enhance our awareness of the importance of sex and gender in intensive care treatment and research by briefly summarizing several principal issues, mainly focusing on sex and sex hormone-based outcomes in patients admitted to the ICU with sepsis and septic shock.
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Background The Controlling Nutritional Status (CONUT) score and the prognostic nutritional index (PNI) have emerged as important nutritional indices because they provide an objective assessment based on data. We aimed to investigate how these nutritional indices relate to outcomes in patients with sepsis. Methods: Data were collected retrospectively at five hospitals for patients aged ≥18 years receiving treatment for sepsis between January 1, 2017, and December 31, 2021. Serum albumin and total cholesterol concentrations, and peripheral lymphocytes were used to calculate the CONUT score and PNI. To identify predictors correlated with 30-day mortality, analyses were conducted using univariate and multivariate Cox proportional hazards models. Results: The 30-day mortality rate among 9,763 patients was 15.8% (n=1,546). The median CONUT score was 5 (interquartile range [IQR], 3–7) and the median PNI score was 39.6 (IQR, 33.846.4). Higher 30-day mortality rates were associated with individuals with moderate (CONUT score: 5–8; PNI: 35–38) or severe (CONUT: 9–12; PNI: <35) malnutrition compared with those with no malnutrition (CONUT: 0–1; PNI: >38). With CONUT scores, the hazard ratio (HR) associated with moderate malnutrition was 1.52 (95% confidence interval [CI], 1.24–1.87; P<0.001); for severe, HR=2.42 (95% CI, 1.95–3.02; P<0.001). With PNI scores, the HR for moderate malnutrition was 1.29 (95% CI, 1.09–1.53; P=0.003); for severe, HR=1.88 (95% CI, 1.67–2.12; P<0.001). Conclusions: The nutritional indices CONUT score and PNI showed significant associations with mortality of sepsis patients within 30 days.
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Development and validation of a predictive model for in-hospital mortality from perioperative bacteremia in gastrointestinal surgery Yusuke Taki, Shinsuke Sato, Masaya Watanabe, Ko Ohata, Hideyuki Kanemoto, Noriyuki Oba European Journal of Clinical Microbiology & Infectious Diseases.2024; 43(11): 2117. CrossRef
Louis Boutin, Louis Morisson, Florence Riché, Romain Barthélémy, Alexandre Mebazaa, Philippe Soyer, Benoit Gallix, Anthony Dohan, Benjamin G Chousterman
Acute Crit Care. 2023;38(3):343-352. Published online August 21, 2023
Background Sepsis is a severe and common cause of admission to the intensive care unit (ICU). Radiomic analysis (RA) may predict organ failure and patient outcomes. The objective of this study was to assess a model of RA and to evaluate its performance in predicting in-ICU mortality and acute kidney injury (AKI) during abdominal sepsis.
Methods This single-center, retrospective study included patients admitted to the ICU for abdominal sepsis. To predict in-ICU mortality or AKI, elastic net regularized logistic regression and the random forest algorithm were used in a five-fold cross-validation set repeated 10 times.
Results Fifty-five patients were included. In-ICU mortality was 25.5%, and 76.4% of patients developed AKI. To predict in-ICU mortality, elastic net and random forest models, respectively, achieved areas under the curve (AUCs) of 0.48 (95% confidence interval [CI], 0.43–0.54) and 0.51 (95% CI, 0.46–0.57) and were not improved combined with Simplified Acute Physiology Score (SAPS) II. To predict AKI with RA, the AUC was 0.71 (95% CI, 0.66–0.77) for elastic net and 0.69 (95% CI, 0.64–0.74) for random forest, and these were improved combined with SAPS II, respectively; AUC of 0.94 (95% CI, 0.91–0.96) and 0.75 (95% CI, 0.70–0.80) for elastic net and random forest, respectively.
Conclusions This study suggests that RA has poor predictive performance for in-ICU mortality but good predictive performance for AKI in patients with abdominal sepsis. A secondary validation cohort is needed to confirm these results and the assessed model.
Background The use of intravenous immunoglobulin (IVIG) in sepsis patients from bowel perforation is still debatable. However, few studies have evaluated the effect of IVIG as an adjuvant therapy after source control. This study aimed to analyze the effect of IVIG in critically ill patients who underwent surgery due to secondary peritonitis.
Methods In total, 646 medical records of surgical patients who were treated for secondary peritonitis were retrospectively analyzed. IVIG use, initial clinical data, and changes in Sequential Organ Failure Assessment (SOFA) score over the 7-day admission in the intensive care unit for sepsis check, base excess, and delta neutrophil index (DNI) were analyzed. Mortalities and periodic profiles were assessed. Propensity scoring matching as comparative analysis was performed in the IVIG group and non-IVIG group.
Results General characteristics were not different between the two groups. The survival curve did not show a significantly reduced mortality in the IVIG. Moreover, the IVIG group did not have a lower risk ratio for mortality than the non-IVIG group. However, when the DNI were compared during the first 7 days, the reduction rate in the IVIG group was statistically faster than in the non-IVIG group (P<0.01).
Conclusions The use of IVIG was significantly associated with faster decrease in DNI which means faster reduction of inflammation. Since the immune system is rapidly activated, the additional use of IVIG after source control surgery in abdominal sepsis patients, especially those with immunocompromised patients can be considered. However, furthermore clinical studies are needed.
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Background Pediatric intensive care units (PICUs), where children with critical illnesses are treated, require considerable manpower and technological infrastructure in order to keep children alive and free from sequelae. Methods: In this retrospective comparative cohort study, hospital records of patients aged 1 month to 18 years who died in the study PICU between January 2015 and December 2019 were reviewed. Results: A total of 2,781 critically ill children were admitted to the PICU. The mean±standard deviation age of 254 nonsurvivors was 64.34±69.48 months. The mean PICU length of stay was 17 days (range, 1–205 days), with 40 children dying early (<1 day of PICU admission). The majority of nonsurvivors (83.9%) had comorbid illnesses. Children with early mortality were more likely to have neurological findings (62.5%), hypotension (82.5%), oliguria (47.5%), acidosis (92.5%), coagulopathy (30.0%), and cardiac arrest (45.0%) and less likely to have terminal illnesses (52.5%) and chronic illnesses (75.6%). Children who died early had a higher mean age (81.8 months) and Pediatric Risk of Mortality (PRISM) III score (37). In children who died early, the first three signs during ICU admission were hypoglycemia in 68.5%, neurological symptoms in 43.5%, and acidosis in 78.3%. Sixty-seven patients needed continuous renal replacement therapy, 51 required extracorporeal membrane oxygenation support, and 10 underwent extracorporeal cardiopulmonary resuscitation. Conclusions: We found that rates of neurological findings, hypotension, oliguria, acidosis, coagulation disorder, and cardiac arrest and PRISM III scores were higher in children who died early compared to those who died later.
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Background Rheumatoid arthritis (RA) is associated with increased risk of sepsis and higher infection-related mortality compared to the general population. However, the evidence on the prognostic impact of RA in sepsis has been inconclusive. We aimed to estimate the population-level association of RA with short-term mortality in sepsis. Methods: We used statewide data to identify hospitalizations aged ≥18 years in Texas with sepsis, with and without RA during 2014–2017. Hierarchical logistic models with propensity adjustment (primary model), propensity score matching, and multivariable logistic regression without propensity adjustment were used to estimate the association of RA with short-term mortality among sepsis hospitalizations. Results: Among 283,025 sepsis hospitalizations, 7,689 (2.7%) had RA. Compared to sepsis hospitalizations without RA, those with RA were older (aged ≥65 years, 63.9% vs. 56.4%) and had higher burden of comorbidities (mean Deyo comorbidity index, 3.2 vs. 2.7). Short-term mortality of sepsis hospitalizations with and without RA was 26.8% vs. 31.4%. Following adjustment for confounders, short-term mortality was lower among RA patients (adjusted odds ratio [aOR], 0.910; 95% confidence interval [CI], 0.856–0.967), with similar findings on alternative models. On sensitivity analyses, short-term mortality was lower in RA patients among sepsis hospitalizations aged ≥65 years and those with septic shock, but not among those admitted to intensive care unit (ICU; aOR, 0.990; 95% CI, 0.909–1.079). Conclusions: RA was associated, unexpectedly, with lower short-term mortality in septic patients. However, this “protective” association was driven by those patients without ICU admission. Further studies are warranted to confirm these findings and to examine the underlying mechanisms.
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Background Sepsis and septic shock remain the leading causes of death in critically ill patients worldwide. Various biomarkers are available to determine the prognosis and therapeutic effects of sepsis. In this study, we investigated the effectiveness of presepsin as a sepsis biomarker. Methods: Patients admitted to the intensive care unit with major or minor diagnosis of sepsis were categorized into survival and non-survival groups. The white blood cell count and serum C-reactive protein, procalcitonin, and presepsin levels were measured in all patients. Results: The study included 40 patients (survival group, 32; non-survival group, 8; mortality rate, 20%). The maximum serum presepsin levels measured during intensive care unit admission were significantly higher in the non-survival group (median [interquartile range]: 4,205.5 pg/ml [1,155.8–10,094.0] vs. 741.5 pg/ml [520.0–1,317.5], P<0.05). No statistically significant intergroup differences were observed in the maximum, minimum, and mean values of the white blood cell count, as well as serum C-reactive protein, and procalcitonin levels. Based on the receiver operating characteristic curve, the area under the curve for presepsin as a predictor of sepsis mortality was 0.764. At a cut-off value of 1,898.5 pg/ml, the sensitivity and specificity of presepsin for prediction of sepsis-induced mortality were 75.0% and 87.5%, respectively. Conclusions: Early diagnosis of sepsis and prediction of sepsis-induced mortality are important for prompt initiation of treatment. Presepsin may serve as an effective biomarker for prediction of sepsis-induced mortality and for evaluation of treatment effectiveness.
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Background Limited research has explored early mortality among patients presenting with septic shock. The objective of this study was to determine the incidence and factors associated with early death following emergency department (ED) presentation of septic shock.
Methods A prospective registry of patients enrolled in an ED septic shock clinical pathway was used to identify patients. Patients were compared across demographic, comorbid, clinical, and treatment variables by death within 72 hours of ED presentation.
Results Among the sample of 2,414 patients, overall hospital mortality was 20.6%. Among patients who died in the hospital, mean and median time from ED presentation to death were 4.96 days and 2.28 days, respectively. Death at 24, 48, and 72 hours occurred in 5.5%, 9.5%, and 11.5% of patients, respectively. Multivariate regression analysis demonstrated that the following factors were independently associated with early mortality: age (odds ratio [OR], 1.04; 95% confidence interval [CI], 1.03–1.05), malignancy (OR, 1.53; 95% CI, 1.11–2.11), pneumonia (OR, 1.39; 95% CI, 1.02–1.88), urinary tract infection (OR, 0.63; 95% CI, 0.44–0.89), first shock index (OR, 1.85; 95% CI, 1.27–2.70), early vasopressor use (OR, 2.16; 95% CI, 1.60–2.92), initial international normalized ratio (OR, 1.14; 95% CI, 1.07–1.27), initial albumin (OR, 0.55; 95% CI, 0.44–0.69), and first serum lactate (OR, 1.21; 95% CI, 1.16–1.26).
Conclusions Adult septic shock patients experience a high rate of early mortality within 72 hours of ED arrival. Recognizable clinical factors may aid the identification of patients at risk of early death.
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