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Objectives: Although children who survive sepsis are at risk for readmission, identification of patient-level variables associated with readmission has been limited by administrative datasets. We determined frequency and cause of readmission within 90 days of discharge and identified patient-level variables associated with readmission using a large, electronic health record-based registry., Methods: This retrospective observational study included 3464 patients treated for sepsis or septic shock between January 2011 and December 2018 who survived to discharge at a single academic children's hospital. We determined frequency and cause of readmission through 90 days post-discharge and identified patient-level variables associated with readmission. Readmission was defined as inpatient treatment within 90 days post-discharge from a prior sepsis hospitalization. Outcomes were frequency of and reasons for 7-, 30-, and 90-day (primary) readmission. Patient variables were tested for independent associations with readmission using multivariable logistic regression., Results: Following index sepsis hospitalization, frequency of readmission at 7, 30, and 90 days was 7% (95% confidence interval 6%-8%), 20% (18%-21%), and 33% (31%-34%). Variables independently associated with 90-day readmission were age ≤ 1 year, chronic comorbid conditions, lower hemoglobin and higher blood urea nitrogen at sepsis recognition, and persistently low white blood cell count ≤ 2 thous/µL. These variables explained only a small proportion of overall risk (pseudo-R2 range 0.05-0.13) and had moderate predictive validity (area under the receiver operating curve range 0.67-0.72) for readmission., Conclusions: Children who survive sepsis were frequently readmitted, most often for infections. Risk for readmission was only partly indicated by patient-level variables., (Copyright © 2023 by the American Academy of Pediatrics.)

Background and Objectives: Racial/ethnic and socioeconomic disparities are reported in sepsis, with increased mortality for minority and low socioeconomic status groups; however, these studies rely on billing codes that are imprecise in identifying sepsis. Using a previously validated algorithm to detect pediatric sepsis using electronic clinical data, we hypothesized that racial/ethnic and socioeconomic status disparities would be evident in this group., Methods: We performed a retrospective study from a large, quaternary academic center, including sepsis episodes from January 20, 2011, to May 20, 2021, identified by an algorithm indicative of bacterial infection with organ dysfunction (cardiac, respiratory, renal, or hematologic). Multivariable logistic regression was used to measure association of race/ethnicity, insurance status, and social disorganization index, with the primary outcome of mortality, adjusting for age, sex, complex chronic conditions, organ dysfunction on day 1, source of admission, and time to hospital. Secondary outcomes were ICU admission, readmission, organ dysfunction-free days, and sepsis therapies., Results: Among 4532 patient episodes, the mortality rate was 9.7%. There was no difference in adjusted odds of mortality on the basis of race/ethnicity, insurance status, or social disorganization. There was no significant association between our predictors and ICU admission. Hispanic patients and publicly insured patients were more likely to be readmitted within 1 year (Hispanic odds ratio 1.28 [1.06-1.5]; public odds ratio 1.19 [1.05-1.35])., Conclusions: Previously described disparities were not observed when using electronic clinical data to identify sepsis; however, data were only single center. There were significantly higher readmissions in patients who were publicly insured or identified as Hispanic or Latino, which require further investigation., (Copyright © 2023 by the American Academy of Pediatrics.)

Objectives: To validate a computational phenotype that identifies acute brain dysfunction (ABD) based on clinician concern for neurologic or behavioral changes in pediatric sepsis., Design: Retrospective observational study., Setting: Single academic children's hospital., Patients: Four thousand two hundred eighty-nine index sepsis episodes., Interventions: None., Measurements and Main Results: An existing computational phenotype of ABD was optimized to include routinely collected variables indicative of clinician concern for acute neurologic or behavioral change (completion of CT or MRI, electroencephalogram, or new antipsychotic administration). First, the computational phenotype was compared with an ABD reference standard established from chart review of 527 random sepsis episodes to determine criterion validity. Next, the computational phenotype was compared with a separate validation cohort of 3,762 index sepsis episodes to determine content and construct validity. Criterion validity for the final phenotype had sensitivity 83% (95% CI, 76-89%), specificity 93% (90-95%), positive predictive value 84% (77-89%), and negative predictive value 93% (90-96%). In the validation cohort, the computational phenotype identified ABD in 35% (95% CI 33-36%). Content validity was demonstrated as those with the ABD computational phenotype were more likely to have characteristics of neurologic dysfunction and severe illness than those without the ABD phenotype, including nonreactive pupils (15% vs 1%; p < 0.001), Glasgow Coma Scale less than 5 (44% vs 12%; p < 0.001), greater than or equal to two nonneurologic organ dysfunctions (50% vs 25%; p < 0.001), and need for intensive care (81% vs 65%; p < 0.001). Construct validity was demonstrated by higher odds for mortality (odds ratio [OR], 6.9; 95% CI, 5.3-9.1) and discharge to rehabilitation (OR, 11.4; 95% CI 7.4-17.5) in patients with, versus without, the ABD computational phenotype., Conclusions: A computational phenotype of ABD indicative of clinician concern for new neurologic or behavioral change offers a valid retrospective measure to identify episodes of sepsis that involved ABD. This computational phenotype provides a feasible and efficient way to study risk factors for and outcomes from ABD using routinely collected clinical data., Competing Interests: Dr. Alcamo received funding from the National Center for Research Resources and the National Center for Advancing Translational Sciences. Drs. Alcamo and Fitzgerald received support for article research from the National Institutes of Health (NIH). Dr. Fitzgerald’s institution received funding from the NIH. Dr. Balamuth’s institution received funding from various federal and foundation grants. The remaining authors have disclosed that they do not have any potential conflicts of interest., (Copyright © 2022 by the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.)

Objective: Heterogeneity has hampered sepsis trials, and sub-phenotyping may assist with enrichment strategies. However, biomarker-based strategies are difficult to operationalize. Four sub-phenotypes defined by distinct temperature trajectories in the first 72 h have been reported in adult sepsis. Given the distinct epidemiology of pediatric sepsis, the existence and relevance of temperature trajectory-defined sub-phenotypes in children is unknown. We aimed to classify septic children into de novo sub-phenotypes derived from temperature trajectories in the first 72 h, and compare cytokine, immune function, and immunometabolic markers across subgroups., Methods: This was a secondary analysis of a prospective cohort of 191 critically ill septic children recruited from a single academic pediatric intensive care unit. We performed group-based trajectory modeling using temperatures over the first 72 h of sepsis to identify latent profiles. We then used mixed effects regression to determine if temperature trajectory-defined sub-phenotypes were associated with cytokine levels, immune function, and mitochondrial respiration., Results: We identified four temperature trajectory-defined sub-phenotypes: hypothermic, normothermic, hyperthermic fast-resolvers, and hyperthermic slow-resolvers. Hypothermic patients were less often previously healthy and exhibited lower levels of pro- and anti-inflammatory cytokines and chemokines. Hospital mortality did not differ between hypothermic children (17%) and other sub-phenotypes (3-11%; P = 0.26)., Conclusions: Critically ill septic children can be categorized into temperature trajectory-defined sub-phenotypes that parallel adult sepsis. Hypothermic children exhibit a blunted cytokine and chemokine profile. Group-based trajectory modeling has utility for identifying subtypes of clinical syndromes by incorporating readily available longitudinal data, rather than relying on inputs from a single timepoint., Competing Interests: The authors report no conflicts of interest., (Copyright © 2022 by the Shock Society.)

Objectives: Avascular necrosis (AVN) is a rare, but serious, complication after sepsis in adults. We sought to determine if sepsis is associated with postillness diagnosis of AVN, as well as potential-associated risk factors for AVN in children with sepsis., Design: Retrospective observational study., Setting: Single academic children's hospital., Patients: Patients less than 18 years treated for sepsis or suspected bacterial infection from 2011 to 2017. Patients who developed AVN within 3 years after sepsis were compared with patients who developed AVN after suspected bacterial infection and with patients with sepsis who did not develop AVN., Intervention: None., Measurements and Main Results: AVN was determined using International Classification of Diseases, 9th Edition/10th Edition codes and confirmed by chart review. The prevalence of AVN after sepsis was 0.73% (21/2,883) and after suspected bacterial infection was 0.43% (53/12,276; risk difference, 0.30; 95% CI, 0.0-0.63; p = 0.05). Compared with 43 sepsis controls without AVN, AVN in the 21 sepsis cases was associated with being older, having sickle cell disease and malignancy, higher body mass index, unknown source of infection, and low platelet count in the first 7 days of sepsis. Half of sepsis patients were treated with corticosteroids, and higher median cumulative dose of steroids was associated with AVN (23.2 vs 5.4 mg/kg; p < 0.01). Older age at infection (odds ratio [OR], 1.3; 95% CI, 1.1-1.4), malignancy (OR, 8.8; 95% CI, 2.6-32.9), unknown site of infection (OR, 12.7; 95% CI, 3.3-48.6), and minimal platelet count less than 100,000/µL in first 7 days of sepsis (OR, 5.0; 95% CI, 1.6-15.4) were identified as potential risk factors for AVN after sepsis following adjustment for multiple comparisons., Conclusions: Although rare, sepsis was associated with a higher risk of subsequent AVN than suspected bacterial infection in children. Older age, malignancy, unknown site of infection, and minimum platelet count were potential risk factors for AVN after sepsis., Competing Interests: Dr. Balamuth’s institution received funding from various federal and foundation grants. Dr. Fitzgerald’s institution received funding from the National Institutes of Health (NIH); she received support for article research from the NIH. She is supported by NIH National Institute of Diabetes and Digestive and Kidney Diseases K23 KD119463. The remaining authors have disclosed that they do not have any potential conflicts of interest., (Copyright © 2022 by the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.)

Background/aims: Despite evidence that preferential use of balanced/buffered fluids may improve outcomes compared with chloride-rich 0.9% saline, saline remains the most commonly used fluid for children with septic shock. We aim to determine if resuscitation with balanced/buffered fluids as part of usual care will improve outcomes, in part through reduced kidney injury and without an increase in adverse effects, compared to 0.9% saline for children with septic shock., Methods: The Pragmatic Pediatric Trial of Balanced versus Normal Saline Fluid in Sepsis (PRoMPT BOLUS) study is an international, open-label pragmatic interventional trial being conducted at > 40 sites in the USA, Canada, and Australia/New Zealand starting on August 25, 2020, and continuing for 5 years. Children > 6 months to < 18 years treated for suspected septic shock with abnormal perfusion in an emergency department will be randomized to receive either balanced/buffered crystalloids (intervention) or 0.9% saline (control) for initial resuscitation and maintenance fluids for up to 48 h. Eligible patients are enrolled and randomized using serially numbered, opaque envelopes concurrent with clinical care. Given the life-threatening nature of septic shock and narrow therapeutic window to start fluid resuscitation, patients may be enrolled under "exception from informed consent" in the USA or "deferred consent" in Canada and Australia/New Zealand. Other than fluid type, all decisions about timing, volume, and rate of fluid administration remain at the discretion of the treating clinicians. For pragmatic reasons, clinicians will not be blinded to study fluid type. Anticipated enrollment is 8800 patients. The primary outcome will be major adverse kidney events within 30 days (MAKE30), a composite of death, renal replacement therapy, and persistent kidney dysfunction. Additional effectiveness, safety, and biologic outcomes will also be analyzed., Discussion: PRoMPT BOLUS will provide high-quality evidence for the comparative effectiveness of buffered/balanced crystalloids versus 0.9% saline for the initial fluid management of children with suspected septic shock in emergency settings., Trial Registration: PRoMPT BOLUS was first registered at ClinicalTrials.gov ( NCT04102371 ) on September 25, 2019. Enrollment started on August 25, 2020., (© 2021. The Author(s).)

Study Objective: Sepsis recognition is a clinical challenge in children. We aim to determine whether peripheral blood gene expression profiles are associated with pathogen type and sepsis severity in children with suspected sepsis., Methods: This was a prospective pilot observational study in a tertiary pediatric emergency department with a convenience sample of children enrolled. Participants were older than 56 days and younger than 18 years, had suspected sepsis, and had not received broad-spectrum antibiotics in the previous 4 hours. Primary outcome was source pathogen, defined as confirmed bacterial source from sterile body fluid or confirmed viral source. Secondary outcome was sepsis severity, defined as maximum therapy required for shock reversal in the first 3 hospital days. We drew peripheral blood for ribonucleic acid isolation at the sepsis protocol activation, obtained gene expression measures with the GeneChip Human Gene 2.0 ST Array, and conducted differential expression analysis., Results: We collected ribonucleic acid samples from a convenience sample of 122 children with suspected sepsis and 12 healthy controls. We compared the 66 children (54%) with confirmed bacterial or viral infection and found 558 differentially expressed genes, many related to interferon signaling or viral immunity. We did not find statistically significant gene expression differences in patients according to sepsis severity., Conclusion: The study demonstrates feasibility of evaluating gene expression profiling data in children evaluated for sepsis in the pediatric emergency department setting. Our results suggest that gene expression profiling may facilitate identification of source pathogen in children with suspected sepsis, which could ultimately lead to improved tailoring of sepsis treatment and antimicrobial stewardship., (Copyright © 2019 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.)

Objectives: To compare timeliness of sepsis recognition and initial treatment in patients with and without high-risk comorbid conditions., Methods: This was a retrospective cohort study of patients presenting to a pediatric emergency department (ED) who triggered a vital sign-based electronic sepsis alert resulting in bedside "huddle" assessment per institutional practice. A positive sepsis alert was defined as age-specific tachycardia or hypotension, concern for infection, and at least 1 of the following: abnormal capillary refill, abnormal mental status, or a high-risk condition. High-risk conditions were derived from the American Academy of Pediatrics sepsis alert tool. Patients with a positive alert underwent bedside huddle resulting in a decision regarding initiation of sepsis protocol. Placement on the protocol and time to initiation of protocol and individual therapies were compared for patients with and without high-risk conditions., Results: During the 1-year study period, there were 1107 sepsis huddle alerts out of 96,427 ED visits. Of these, 713 (65%) had identified high-risk conditions, and 394 (35%) did not. Among patients with sepsis huddles, there was no difference in sepsis protocol initiation for patients with high-risk conditions compared with those without (24.8% vs 22.0%, P = 0.305). Between patients with high-risk conditions and those without, there were no differences in median time from triage to sepsis protocol activation, triage to initial intravenous antibiotic, triage to initial intravenous fluid therapy, or ED length of stay., Conclusions: Timeliness of care initiation was no different in high-risk patients with sepsis when using an electronic sepsis alert and protocolized sepsis care.

Objectives: We assessed racial differences in sepsis recognition in a pediatric emergency department (ED) with an established electronic sepsis alert system., Methods: Quality-improvement data from June 1, 2016 to May 31, 2017 was used in this retrospective cohort study. All ED visits were included for non-Hispanic black (NHB) and non-Hispanic white (NHW) patients. The sepsis pathway was activated through the alert, 2 stages and a huddle, or outside of the alert using clinician judgment alone. We evaluated racial differences in the frequency of alerts and sepsis pathway activation within and outside of the alert. Multivariable regression adjusted for high-risk condition, sex, age, and insurance., Results: There were 97 338 ED visits: 56 863 (58.4%) and 23 008 (23.6%) from NHBs and NHWs, respectively. NHWs were more likely than NHBs to have a positive second alert (adjusted odds ratio [aOR] 2.4; 95% confidence interval [CI] 2.1-2.8). NHWs were more likely than NHBs to have the sepsis pathway activated (aOR 1.4; 95% CI 1.02-2.1). Of those treated within the alert, there was no difference in pathway activation (aOR 0.93; 95% CI 0.62-1.4). Of those recognized by clinicians when the alert did not fire, NHWs were more likely than NHBs to be treated (aOR 3.4; 95% CI 1.8-6.4)., Conclusions: NHWs were more likely than NHBs to be treated for sepsis, although this difference was specifically identified in the subset of patients treated for sepsis outside of the alert. This suggests that an electronic alert reduces racial differences compared with clinician judgment alone., Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose., (Copyright © 2019 by the American Academy of Pediatrics.)

Study Objective: Recognition of pediatric sepsis is a key clinical challenge. We evaluate the performance of a sepsis recognition process including an electronic sepsis alert and bedside assessment in a pediatric emergency department (ED)., Methods: This was a cohort study with quality improvement intervention in a pediatric ED. Exposure was a positive electronic sepsis alert, defined as elevated pulse rate or hypotension, concern for infection, and at least one of the following: abnormal capillary refill, abnormal mental status, or high-risk condition. A positive electronic sepsis alert prompted team assessment or huddle to determine need for sepsis protocol. Clinicians could initiate team assessment or huddle according to clinical concern without positive electronic sepsis alert. Severe sepsis outcome defined as activation of the sepsis protocol in the ED or development of severe sepsis requiring ICU admission within 24 hours., Results: There were 182,509 ED visits during the study period, with 86,037 before electronic sepsis alert implementation and 96,472 afterward, and 1,112 (1.2%) positive electronic sepsis alerts. Overall, 326 patients (0.3%) were treated for severe sepsis within 24 hours. Test characteristics of the electronic sepsis alert alone to detect severe sepsis were sensitivity 86.2% (95% confidence interval [CI] 82.0% to 89.5%), specificity 99.1% (95% CI 99.0% to 99.2%), positive predictive value 25.4% (95% CI 22.8% to 28.0%), and negative predictive value 100% (95% CI 99.9% to 100%). Inclusion of the clinician screen identified 43 additional electronic sepsis alert-negative children, with severe sepsis sensitivity 99.4% (95% CI 97.8% to 99.8%) and specificity 99.1% (95% CI 99.1% to 99.2%). Electronic sepsis alert implementation increased ED sepsis detection from 83% to 96%., Conclusion: Electronic sepsis alert for severe sepsis demonstrated good sensitivity and high specificity. Addition of clinician identification of electronic sepsis alert-negative patients further improved sensitivity. Implementation of the electronic sepsis alert was associated with improved recognition of severe sepsis., (Copyright © 2017 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.)

Objectives: To determine whether treatment with a protocolized sepsis guideline in the emergency department was associated with a lower burden of organ dysfunction by hospital day 2 compared to nonprotocolized usual care in pediatric patients with severe sepsis., Design: Retrospective cohort study., Setting: Tertiary care children's hospital from January 1, 2012, to March 31, 2014., Subjects: Patients older than 56 days old and younger than 18 years old with international consensus defined severe sepsis and who required PICU admission within 24 hours of emergency department arrival were included., Measurements and Main Results: The exposure was the use of a protocolized emergency department sepsis guideline. The primary outcome was complete resolution of organ dysfunction by hospital day 2. One hundred eighty nine subjects were identified during the study period. Of these, 121 (64%) were treated with the protocolized emergency department guideline and 68 were not. There were no significant differences between the groups in age, sex, race, number of comorbid conditions, emergency department triage level, or organ dysfunction on arrival to the emergency department. Patients treated with protocolized emergency department care were more likely to be free of organ dysfunction on hospital day 2 after controlling for sex, comorbid condition, indwelling central venous catheter, Pediatric Index of Mortality-2 score, and timing of antibiotics and IV fluids (adjusted odds ratio, 4.2; 95% CI, 1.7-10.4)., Conclusions: Use of a protocolized emergency department sepsis guideline was independently associated with resolution of organ dysfunction by hospital day 2 compared to nonprotocolized usual care. These data indicate that morbidity outcomes in children can be improved with the use of protocolized care., Competing Interests: The authors have no conflicts of interest to disclose.

Objectives: To evaluate accuracy of 2 established administrative methods of identifying children with sepsis using a medical record review reference standard., Study Design: Multicenter retrospective study at 6 US children's hospitals. Subjects were children >60 days to <19 years of age and identified in 4 groups based on International Classification of Diseases, Ninth Revision, Clinical Modification codes: (1) severe sepsis/septic shock (sepsis codes); (2) infection plus organ dysfunction (combination codes); (3) subjects without codes for infection, organ dysfunction, or severe sepsis; and (4) infection but not severe sepsis or organ dysfunction. Combination codes were allowed, but not required within the sepsis codes group. We determined the presence of reference standard severe sepsis according to consensus criteria. Logistic regression was performed to determine whether addition of codes for sepsis therapies improved case identification., Results: A total of 130 out of 432 subjects met reference SD of severe sepsis. Sepsis codes had sensitivity 73% (95% CI 70-86), specificity 92% (95% CI 87-95), and positive predictive value 79% (95% CI 70-86). Combination codes had sensitivity 15% (95% CI 9-22), specificity 71% (95% CI 65-76), and positive predictive value 18% (95% CI 11-27). Slight improvements in model characteristics were observed when codes for vasoactive medications and endotracheal intubation were added to sepsis codes (c-statistic 0.83 vs 0.87, P = .008)., Conclusions: Sepsis specific International Classification of Diseases, Ninth Revision, Clinical Modification codes identify pediatric patients with severe sepsis in administrative data more accurately than a combination of codes for infection plus organ dysfunction., (Copyright © 2015 Elsevier Inc. All rights reserved.)

Objectives: The objective was to compare the effectiveness of physician judgment and an electronic algorithmic alert to identify pediatric patients with severe sepsis/septic shock in a pediatric emergency department (ED)., Methods: This was an observational cohort study of patients older than 56 days with fever or hypothermia. All patients were evaluated for potential sepsis in real time by the ED clinical team. An electronic algorithmic alert was retrospectively applied to identify patients with potential sepsis independent of physician judgment. The primary outcome was the proportion of patients correctly identified with severe sepsis/septic shock defined by consensus criteria. Test characteristics were determined and receiver operating characteristic (ROC) curves were compared., Results: Of 19,524 eligible patient visits, 88 patients developed consensus-confirmed severe sepsis or septic shock. Physician judgment identified 159 and the algorithmic alert identified 3,301 patients with potential sepsis. Physician judgment had sensitivity of 72.7% (95% confidence interval [CI] = 72.1% to 73.4%) and specificity of 99.5% (95% CI = 99.4% to 99.6%); the algorithmic alert had sensitivity of 92.1% (95% CI = 91.7% to 92.4%) and specificity of 83.4% (95% CI = 82.9% to 83.9%) for severe sepsis/septic shock. There was no significant difference in the area under the ROC curve for physician judgment (0.86, 95% CI = 0.81 to 0.91) or the algorithm (0.88, 95% CI = 0.85 to 0.91; p = 0.54). A combination method using either positive physician judgment or an algorithmic alert improved sensitivity to 96.6% and specificity to 83.3%. A sequential approach, in which positive identification by the algorithmic alert was then confirmed by physician judgment, achieved 68.2% sensitivity and 99.6% specificity. Positive and negative predictive values for physician judgment versus algorithmic alert were 40.3% versus 2.5% and 99.88% versus 99.96%, respectively., Conclusions: The electronic algorithmic alert was more sensitive but less specific than physician judgment for recognition of pediatric severe sepsis and septic shock. These findings can help to guide institutions in selecting pediatric sepsis recognition methods based on institutional needs and priorities., (© 2015 by the Society for Academic Emergency Medicine.)

Objectives: To compare the prevalence, resource utilization, and mortality for pediatric severe sepsis identified using two established identification strategies., Design: Observational cohort study from 2004 to 2012., Setting: Forty-four pediatric hospitals contributing data to the Pediatric Health Information Systems database., Patients: Children 18 years old or younger., Measurements and Main Results: We identified patients with severe sepsis or septic shock by using two International Classification of Diseases, 9th edition, Clinical Modification-based coding strategies: 1) combinations of International Classification of Diseases, 9th edition, Clinical Modification codes for infection plus organ dysfunction (combination code cohort); 2) International Classification of Diseases, 9th edition, Clinical Modification codes for severe sepsis and septic shock (sepsis code cohort). Outcomes included prevalence of severe sepsis, as well as hospital and ICU length of stay, and mortality. Outcomes were compared between the two cohorts examining aggregate differences over the study period and trends over time. The combination code cohort identified 176,124 hospitalizations (3.1% of all hospitalizations), whereas the sepsis code cohort identified 25,236 hospitalizations (0.45%), a seven-fold difference. Between 2004 and 2012, the prevalence of sepsis increased from 3.7% to 4.4% using the combination code cohort and from 0.4% to 0.7% using the sepsis code cohort (p < 0.001 for trend in each cohort). Length of stay (hospital and ICU) and costs decreased in both cohorts over the study period (p < 0.001). Overall, hospital mortality was higher in the sepsis code cohort than the combination code cohort (21.2% [95% CI, 20.7-21.8] vs 8.2% [95% CI, 8.0-8.3]). Over the 9-year study period, there was an absolute reduction in mortality of 10.9% (p < 0.001) in the sepsis code cohort and 3.8% (p < 0.001) in the combination code cohort., Conclusions: Prevalence of pediatric severe sepsis increased in the studied U.S. children's hospitals over the past 9 years, whereas resource utilization and mortality decreased. Epidemiologic estimates of pediatric severe sepsis varied up to seven-fold depending on the strategy used for case ascertainment.

We hypothesized that an electronic sepsis alert would decrease mortality, ICU admission, vasoactive use, and organ dysfunction at day 3 and day 7. Sepsis episodes were identified by a validated computational algorithm which reflects presence of infection with organ dysfunction (cardiac, respiratory, hematologic or renal) using data in the electronic health record. B Introduction: b Pediatric sepsis is a significant cause of morbidity and mortality in children; guidelines now recommend a systematic screening tool to enhance early recognition of children with sepsis. [Extracted from the article]

B Introduction: b Racial, ethnic, and socioeconomic (SES) disparities are reported in sepsis, with increased mortality for minority and low SES groups. Patients with higher social disorganization had lower odds of mortality (Quintile 3 0.68 [0.49-0.92]; Quintile 4 0.74, [0.55-1.01]; Quintile 5 0.7 [0.51-0.95]). [Extracted from the article]

Given the distinct epidemiology of pediatric sepsis, we aimed to classify septic children into I de novo i sub-phenotypes derived from temperature trajectories and compare cytokine, immune function, and immunometabolic markers across subgroups. We performed group-based trajectory modeling (GBTM) using available temperatures over the first 72 hours of sepsis to identify latent I de novo i profiles. As an alternative approach, four sub-phenotypes defined by distinct temperature trajectories have been reported in adult sepsis. [Extracted from the article]