Pediatric Sequential Organ Failure Assessment Research Articles

Clinical characteristics of children with severe SARS-CoV-2 infection in Yunnan

Objective: To investigate the clinical characteristics of 130 children with severe SARS-CoV-2 infection in Yunnan province after the relaxation of non-pharmaceutical interventions, and analyze the risk factors for mortality. Methods: This study is a retrospective case summary that analyzed the demographic data, underlying diseases, clinical diagnoses, disease outcomes, and laboratory results of 130 children with severe COVID-19 infections admitted to nine top-tier hospitals in Yunnan Province from December 2022 to March 2023. According to the prognosis, the patients were divided into survival group and death group. The clinical and laboratory data between the two groups were compared, and the risk factors of death were evaluated. The χ2 test and Mann-Whitney U test were employed to compare between groups, while Spearman correlation test and multiple Logistic regression were used to analyze the risk factors for death. The predictive value of independent risk factors was evaluated by receiver operating characteristic curve. Results: The 130 severe patients included 80 males and 50 females with an onset age of 28.0 (4.5, 79.5) months. There were 97 cases in the survival group and 33 cases in the death group with no significant differences in gender and age between the two groups (P>0.05). Twenty-five cases (19.2%) out of the 130 patients had underlying diseases, and the number with underlying diseases was significantly higher in death group than in survival group (36.4% (12/33) vs. 13.4%(13/97), χ2=8.36, P=0.004). The vaccination rate in the survival group was significantly higher than that in the death group (86.1% (31/36) vs. 7/17, χ2=9.38, P=0.002). A total of 42 cases (32.3%) of the 130 patients were detected to be infected with other pathogens, but there was no significant difference in the incidence of co-infection between the death group and the survival group (39.3%(13/33) vs. 29.9% (29/97), χ2=1.02, P>0.05). Among the 130 cases, severe respiratory cases were the most common 66 cases (50.8%), followed by neurological severe illnesses 34 cases (26.2%) and circulatory severe 13 cases (10%). Compared to the survival group, patients in the death group had a significantly higher levels of neutrophil, ferritin, procalcitonin, alanine aminotransferase, lactate dehydrogenase, creatine kinase isoenzyme, B-type natriuretic peptide, interleukin-6 and 10 (6.7 (4.0, 14.0) vs. 3.0 (1.6, 7.0)×109/L, 479 (298, 594) vs. 268 (124, 424) μg/L, 4.8 (1.7, 10.6) vs. 2.0 (1.1, 3.1) μg/L, 66 (20, 258) vs. 23 (15, 49) U/L, 464 (311, 815) vs. 304 (252, 388) g/L, 71(52, 110) vs. 24(15, 48) U/L, 484 (160, 804) vs. 154 (26, 440) ng/L, 43 (23, 102) vs. 19 (13, 27) ng/L, 216 (114, 318) vs. 86 (45, 128) ng/L, Z=-4.21, -3.67, -3.76, -3.31, -3.75, -5.74, -3.55, -4.65, -5.86, all P<0.05). The correlated indexes were performed by multivariate Logistic regression and the results showed that vaccination was a protective factor from death in severe cases (OR=0.01, 95%CI 0-0.97, P=0.049) while pediatric sequential organ failure assessment (PSOFA) (OR=3.31, 95%CI 1.47-7.47, P=0.004), neutrophil-to-lymphocyte ratio (NLR) (OR=1.56, 95%CI 1.05-2.32, P=0.029) and D dimer (OR=1.49, 95%CI 1.00-1.02, P=0.033) were independent risk factors for death (all P<0.05). The area under the curve of the three independent risk factors for predicting death were 0.86 (95%CI 0.79-0.94), 0.89 (95%CI 0.84-0.95) and 0.87 (95%CI 0.80-0.94), all P<0.001, and the cut-off values were 4.50, 3.66 and 4.69 mg/L, respectively. Conclusions: Severe SARS-CoV-2 infection can occur in children of all ages, primarily affecting the respiratory system, but can also infect the nervous system, circulatory system or other systems. Children who died had more severe inflammation, tissue damage and coagulation disorders. The elevations of PSOFA, NLR and D dimer were independent risk factors for death in severe children.

Comparison of the Areas Under the Curve of Vancomycin Continuous vs. Intermittent Infusion in Critically Ill Pediatrics: A Randomized Clinical Trial

Background: Providing data on the superior efficacy of vancomycin administered based on the area under the curve over 24 hours to the minimum inhibitory concentration of vancomycin (AUC24/MIC) is crucial. However, data on dosing and monitoring of vancomycin pharmacokinetics in the pediatric population are limited. Previous findings have suggested that intermittent infusion of vancomycin (IIV) may not achieve the desired levels. Continuous infusions of vancomycin (CIV) reach the desired serum concentration faster than IIV and are associated with reduced nephrotoxicity. Objectives: This study aimed to compare the concentrations, AUC24, clinical variables, and adverse effects of two vancomycin administration methods in the pediatric population. Methods: This study was a double-blind, randomized, controlled clinical trial conducted at a tertiary children's teaching hospital. Inclusion criteria were age between 2 months and 15 years and weight less than 67 kilograms, with exclusion criteria including renal impairment. Participants were divided into CIV and IIV groups following distinct administration protocols. Demographic, clinical, and laboratory data, including vancomycin serum concentrations, were compiled. Assessments included pediatric mortality risk, pediatric sequential organ failure assessment, and regular temperature monitoring. Pharmacokinetic analysis was conducted using Monolix software 2023R1. Primary endpoints were vancomycin serum levels and AUC24 between cohorts on day three, with nephrotoxicity and additional adverse drug responses evaluated. Results: Sixty-eight patients in the pediatric intensive care unit (PICU) were allocated to either CIV (33) or IIV (35) for vancomycin treatment. In the CIV group, 82% of patients achieved an AUC24 ≥ 400 mg.h/L, compared to 23% in the IIV group. Continuous infusions of vancomycin demonstrated a greater AUC24 (587.7 ± 184.4 mg.h/L vs. 361.9 ± 113.2 mg.h/L, P &lt; 0.05) compared to IIV. Two cases of nephrotoxicity were reported, one in each group, with mortality and adverse events being comparable between the two groups. Conclusions: This study demonstrated that continuous vancomycin infusion has a higher success rate in safely achieving therapeutic vancomycin levels in PICU patients compared to intermittent vancomycin infusion.

Paediatric sequential organ failure assessment score (p-SOFA) as an outcome predictor in critically ill children admitted to a paediatric intensive care unit in a tertiary care hospital in central India.

Background Pediatric intensive care remains a critical and challenging field, where early recognition of organ dysfunction and timely intervention are essential for improved patient outcomes. The Pediatric Sequential Organ Failure Assessment (P-SOFA) score is a tool designed to assess organ dysfunction in critically ill children. This prospective observational study aims to evaluate the effectiveness of the P-SOFA score in predicting morbidity and mortality in pediatric patients admitted to the Pediatric Intensive Care Unit (PICU). Methods Over two years, we will enrol pediatric patients aged one month to 17 years in the PICU at Jawaharlal Nehru Medical College and AVBRH, Sawangi, Wardha, Central India. Data will be collected on demographic characteristics, clinical assessments, laboratory investigations, SOFA score calculations at admission and 48 hours later, treatments received, and outcomes. Inclusion criteria encompass patients with PICU stays exceeding 24 hours, while exclusion criteria include consent refusal, planned procedures for PICU admission, and PICU stays of less than 24 hours. Expected Results We anticipate that the P-SOFA score will be a valuable predictor of morbidity and mortality in critically ill pediatric patients. The study will also investigate the potential of ΔSOFA (change in SOFA scores) as an outcome indicator and compare the P-SOFA score with the Pediatric Logistic Organ Dysfunction Score 2 (PELOD2) for mortality prediction.

Epidemiology and Clinical Characteristics of Pediatric Sepsis in PICUs in Southwest China: A Prospective Multicenter Study.

To describe the epidemiological characteristics of pediatric sepsis in Southwest China PICUs. A prospective, multicenter, and observational study. Twelve PICUs in Southwest China. The patients admitted to the PICU from April 1, 2022, to March 31, 2023. The age ranged from 28 days to 18 years. All patients met the criteria of severe sepsis or septic shock. None. Of the 31 PICUs invited to participate, 12 PICUs (capacity of 292 beds) enrolled patients in the study. During the study period, 11,238 children were admitted to the participating PICUs, 367 (3.3%) of whom met the diagnosis of severe sepsis or septic shock. The most prevalent sites of infection were the respiratory system (55%) and the digestive system (15%). The primary treatments administered to these patients included antibiotics (100%), albumin (61.3%), invasive mechanical ventilation (58.7%), glucocorticoids (55.6%), blood products (51%), gammaglobulin (51%), and vasoactive medications (46.6%). Sepsis-related mortality in the PICU was 11.2% (41/367). Nearly half of the sepsis deaths occurred within the first 3 days of PICU admission (22/41, 53.7%). The mortality rate of septic shock (32/167, 19.2%) was significantly higher than that of severe sepsis (9/200, 4.5%; p < 0.001). The outcomes of a multivariate logistic regression analysis suggested that a higher pediatric Sequential Organ Failure Assessment score, and the use of invasive mechanical ventilation and vasoactive medications were independently associated with PICU mortality in children with sepsis. This report updates the epidemiological data of pediatric sepsis in PICUs in Southwest China. Sepsis is still a life-threatening disease in children.

Automated Calculator for the Pediatric Sequential Organ Failure Assessment Score: Development and External Validation in a Single-Center 7-Year Cohort, 2015-2021.

The pediatric Sequential Organ Failure Assessment (pSOFA) score summarizes severity of organ dysfunction and can be used to predict in-hospital mortality. Manual calculation of the pSOFA score is time-consuming and prone to human error. An automated method that is open-source, flexible, and scalable for calculating the pSOFA score directly from electronic health record data is desirable. Single-center, retrospective cohort study. Quaternary 40-bed PICU. All patients admitted to the PICU between 2015 and 2021 with ICU stay of at least 24 hours. None. We used 77 records to evaluate the automated score. The automated algorithm had an overall accuracy of 97%. The algorithm calculated the respiratory component of two cases incorrectly. An expert human annotator had an initial accuracy of 75% at the patient level and 95% at the component level. An untrained human annotator with general clinical research experience had an overall accuracy of 16% and component-wise accuracy of 67%. Weighted kappa for agreement between the automated method and the expert annotator's initial score was 0.92 (95% CI, 0.88-0.95), and between the untrained human annotator and the automated score was 0.50 (95% CI, 0.36-0.61). Data from 9146 patients (in-hospital mortality 3.6%) were included to validate externally the discriminability of the automated pSOFA score. The admission-day pSOFA score had an area under the receiver operating characteristic curve of 0.79 (95% CI, 0.77-0.82). The developed automated algorithm calculates pSOFA score with high accuracy and is more accurate than a trained expert rater and nontrained data abstracter. pSOFA's performance for predicting in-hospital mortality was lower in our cohort than it was for the originally derived score.

Dynamic Prediction of Mortality Using Longitudinally Measured Pediatric Sequential Organ Failure Assessment Scores: A Joint Modeling Approach.

The pediatric Sequential Organ Failure Assessment (pSOFA) score was designed to track illness severity and predict mortality in critically ill children. Most commonly, pSOFA at a point in time is used to assess a static patient condition. However, this approach has a significant drawback because it fails to consider any changes in a patients' condition during their PICU stay and, especially, their response to initial critical care treatment. We aimed to evaluate the performance of longitudinal pSOFA scores for predicting mortality. Single-center, retrospective cohort study. Quaternary 40-bed PICU. All patients admitted to the PICU between 2015 and 2021 with at least 24 hours of ICU stay. None. We calculated daily pSOFA scores up to 30 days, or until death or discharge from the PICU, if earlier. We used the joint longitudinal and time-to-event data model for the dynamic prediction of 30-day in-hospital mortality. The dataset, which included 9146 patients with a 30-day in-hospital mortality of 2.6%, was divided randomly into training (75%) and validation (25%) subsets, and subjected to 40 repeated stratified cross-validations. We used dynamic area under the curve (AUC) to evaluate the discriminative performance of the model. Compared with the admission-day pSOFA score, AUC for predicting mortality between days 5 and 30 was improved on average by 6.4% (95% CI, 6.3-6.6%) using longitudinal pSOFA scores from the first 3 days and 9.2% (95% CI, 9.0-9.5%) using scores from the first 5 days. Compared with admission-day pSOFA score, longitudinal pSOFA scores improved the accuracy of mortality prediction in PICU patients at a single center. The pSOFA score has the potential to be used dynamically for the evaluation of patient conditions.

ADAMTS13 in pediatric sepsis: a prognostic biomarker with potential therapeutic implications

BackgroundGrowing evidence implicates a pro-thrombotic state, caused by ADAMTS13 deficiency, in sepsis-associated organ dysfunction, but pediatric data is limited. Our purpose was to evaluate association of ADAMTS13 with prognosis of pediatric sepsis.ResultsThis was prospective observational study, conducted on 70 children with sepsis and 18 healthy controls. Patients were classified upon Pediatric Intensive Care Unit (PICU) admission into sepsis, severe sepsis, and septic shock groups. Serum ADAMTS13 was measured within 24 h of admission. The primary outcome was all-cause PICU mortality. ADAMTS13 was lower among patients than controls [median and interquartile range (IQR): 1.30 (0.88–3.13ng/mL) vs. 6.00 (5.55–6.50 ng/mL); p < 0.001]. ADAMTS13 was lower in both severe sepsis and septic shock than sepsis [median (IQR): 0.90 (0.80–1.75 ng/mL); 1.0 ng/ml (0.90–1.20); and 2.80 (1.00–3.85ng/mL), p = 0.026 and 0.006 respectively]. ADAMTS13 was lower among non-survivors compared with survivors [median (IQR): 0.9 (0.80–1.18 ng/mL) vs. 2.45 (0.98–3.50 ng/mL); p < 0.001]. ADAMTS13 had area under Receiver Operating Characteristic Curve (AUC) of 0.77 for mortality prediction. Lower ADAMTS13 level was associated with mechanical ventilation; vasoactive medications; acute respiratory distress syndrome; and multiple organ dysfunction syndrome. ADAMTS13 correlated with pediatric Sequential Organ Failure Assessment (pSOFA) score (rs = -0.46, p < 0.001); vasoactive infusion days ((rs = -0.48, p < 0.001); and vasoactive-inotropic score on day1 (rs = -0.43, p < 0.001) and day2 ((rs = -0.41; p < 0.001).ConclusionIn pediatric sepsis, lower ADAMTS13 level is a risk factor for organ dysfunction and mortality, lending theoretical foundations to therapeutic interventions aiming at reversing the pro-thrombotic state in sepsis.

A prospective cohort study of severe sepsis-induced dyslipidemia and changes in D-dimer levels in children: do they affect the prognosis?

BackgroundThe dyslipidemia and changes in D-dimer values that occur in children with severe sepsis remain unidentified.ObjectiveThe current research aimed to explore the relationship between D-dimer and lipid profile values, including total cholesterol (TC), lipoproteins, apolipoprotein A-V (Apo A-5), triglycerides (TG), and in-hospital nonsurvival in children with severe sepsis or septic shock in pediatric intensive care.Study designThe study design is as follows: prospective cohort study.ParticipantsChildren with severe sepsis or septic shock who were admitted to the intensive care unit of a university pediatric hospital.InterventionVital signs, sepsis assessment, pediatric sequential organ failure assessment (PSOFA) score, high-density lipoprotein (HDL), Apo A-5, TG, low-density lipoprotein (LDL), TC, D-dimer, mortality outcome, and pediatric risk of mortality (PRISM) III score were evaluated.OutcomesThe primary outcome was in-hospital nonsurvival.ResultsThe nonsurvivors had significantly higher D-dimer levels than the survivors, with a significant cutoff level of 0.87 μg/mL (AUC: 0.85, sensitivity: 93.3%, PVN: 90.6%, accuracy: 79.0%, PVP: 72.5%, and specificity: 64.7%). D-dimer was inversely correlated with WBC count and positively correlated with patient age, PRISM III score, PSOFA score, and INR. However, nonsurvivors had higher TG levels and lower TC, HDL, LDL, and Apo A-5 levels than survivors, but this variation was insignificant. Apo A-5 levels were inversely correlated with HDL and positively correlated with TG levels.ConclusionsThis study suggests that D-dimer is a promising biomarker for severe sepsis in children, with a mortality cutoff level of 0.87 μg/mL. However, lipid profiles are not predictors of sepsis-related mortality.

Prediction of attributable mortality in pediatric patients with cancer admitted to the intensive care unit for suspected infection: A comprehensive evaluation of risk scores.

To evaluate the performance of existing sepsis scores for prediction of adverse outcomes in children with cancer admitted to the ICU with suspected sepsis. Retrospective chart review using data available at 1, 6, 12, and 24 h after ICU admission to calculate the Pediatric Risk of Mortality 3 (PRISM-3), Pediatric Sequential Organ Failure Assessment (pSOFA), Paediatric Logistic Organ Dysfunction 2 (PELOD-2), and Quick Pediatric Sequential Organ Failure Assessment (qSOFA) scores. Area under the receiver operator characteristic curve (AUROC) was used to evaluate performance for prediction of attributable mortality. Sensitivity analyses included recalculation of scores using worst preceding values for each variable, excluding hematologic parameters, and prediction of alternative outcomes. St. Jude Children's Research Hospital, a pediatric comprehensive cancer center in the USA. Pediatric patients (<25 years of age) receiving conventional therapy for cancer admitted to the ICU with suspected sepsis between 2013 and 2019. Of 207 included episodes of suspected sepsis, attributable mortality was 16 (7.7%) and all evaluated sepsis scores performed poorly (maximal AUROC of 0.73 for qSOFA at 1 and 24 h). Sensitivity analyses did not identify an alternative approach that significantly improved prediction. Currently available sepsis scores perform poorly for prediction of attributable mortality in children with cancer who present to ICU with suspected sepsis. More research is needed to identify reliable predictors of adverse outcomes in this population.

Organ Dysfunction in Children With Blood Culture-Proven Sepsis: Comparative Performance of Four Scores in a National Cohort Study.

Previous studies applying Sepsis-3 criteria to children were based on retrospective analyses of PICU cohorts. We aimed to compare organ dysfunction criteria in children with blood culture-proven sepsis, including emergency department, PICU, and ward patients, and to assess relevance of organ dysfunctions for mortality prediction. We have carried out a nonprespecified, secondary analysis of a prospective dataset collected from September 2011 to December 2015. Emergency departments, wards, and PICUs in 10 tertiary children's hospitals in Switzerland. Children younger than 17 years old with blood culture-proven sepsis. We excluded preterm infants and term infants younger than 7 days old. None. We compared the 2005 International Pediatric Sepsis Consensus Conference (IPSCC), Pediatric Logistic Organ Dysfunction-2 (PELOD-2), pediatric Sequential Organ Failure Assessment (pSOFA), and Pediatric Organ Dysfunction Information Update Mandate (PODIUM) scores, measured at blood culture sampling, to predict 30-day mortality. We analyzed 877 sepsis episodes in 807 children, with a 30-day mortality of 4.3%. Percentage with organ dysfunction ranged from 32.7% (IPSCC) to 55.3% (pSOFA). In adjusted analyses, the accuracy for identification of 30-day mortality was area under the curve (AUC) 0.87 (95% CI, 0.82-0.92) for IPSCC, 0.83 (0.76-0.89) for PELOD-2, 0.85 (0.78-0.92) for pSOFA, and 0.85 (0.78-0.91) for PODIUM. When restricting scores to neurologic, respiratory, and cardiovascular dysfunction, the adjusted AUC was 0.89 (0.84-0.94) for IPSCC, 0.85 (0.79-0.91) for PELOD-2, 0.87 (0.81-0.93) for pSOFA, and 0.88 (0.83-0.93) for PODIUM. IPSCC, PELOD-2, pSOFA, and PODIUM performed similarly to predict 30-day mortality. Simplified scores restricted to neurologic, respiratory, and cardiovascular dysfunction yielded comparable performance.

Prognostic factors and predictive scores for 6-months mortality of hematopoietic stem cell transplantation recipients admitted to the pediatric intensive care unit.

Despite advances in hematopoietic stem cell transplantation (HSCT), a considerable number of pediatric HSCT patients develops post-transplant complications requiring admission to the pediatric intensive care unit (PICU). The objective of this study was to evaluate clinical findings, PICU supportive therapy and outcome as well as predictive factors for 6-months survival after discharge of HSCT patients from PICU. This retrospective single-center analysis investigated patient characteristics, microbiological findings, reasons for admission and death of 54 cases accounting for 94 admissions to the PICU of the University Children's Hospital Tuebingen from 2002 to 2017. We compared clinical characteristics between children with and without 6-months survival after discharge from PICU following HSCT. Finally, we assessed the potential prognostic value of the oncological Pediatric Risk of Mortality Score (O-PRISM), the Pediatric Sequential Organ Failure Assessment Score (pSOFA) and the pRIFLE Criteria for Acute Kidney Injury for 6-months survival using Generalized Estimating Equations (GEE) and Receiver Operating Characteristic curves. Respiratory insufficiency, gastroenterological problems and sepsis were the most common reasons for PICU admission. Out of 54 patients, 38 (70%) died during or after their last PICU admission, 30% survived for at least six months. When considering only first PICU admissions, we could not determine prognostic factors for 6-months mortality. In contrast, under consideration of all PICU admissions in the GEE model, ventilation (p=0.03) and dialysis (p=0.007) were prognostic factors for 6-months mortality. Furthermore, pSOFA (p=0.04) and O-PRISM (p=0.02) were independent risk factors for 6-months mortality considering all PICU admissions. Admission of HSCT patients to PICU is still associated with poor outcome and 69% of patients died within 6 months. Need for respiratory support and dialysis are associated with poor outcome. Prediction of 6-months survival is difficult, especially during a first PICU admission. However, on subsequent PICU admissions pSOFA and O-PRISM scores might be useful to predict mortality. These scores should be prospectively evaluated in further studies to verify whether they can identify pediatric HSCT recipients profiting most from transferal to the PICU.

Characteristics and management of patients with SARS-CoV2 infection admitted to pediatric intensive care units: Data analysis of the Spanish national multicenter registry.

The purpose of this study is to describe the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) disease characteristics and management in children admitted to the pediatric intensive care units (PICU). The present study was based on a national multicentric prospective registry including PICU patients with SARS-CoV2 infection or symptoms of multisystem inflammatory syndrome in children (MIS-C). A total of 298 patients were admitted to 41 different Spanish PICUs. A total of 76% of them were previously healthy. The most frequent manifestation was MIS-C (69.8%). On admission, 59.4% of patients did not have respiratory distress, and only 17.4% needed conventional mechanical ventilation (MV). The need for MV was associated with age (incidence rate ratios[IRR] 1.21, p < .012), pediatric sequential organ failure assessment score(p-SOFA) Score (IRR 1.12, p = .001), and need for transfusion (IRR 4.5, p < .004) in MIS-C patients, and with vasoactive drug use (IRR 2.73, p = .022) and the diagnosis of acute respiratory distress syndrome (IRR 2.83, p = .018) in patients admitted for other reasons. During the first day of admission, 56% of patients met shock criteria and 50.7% needed vasoactive drugs. In MIS-C patients, their use was associated with higher p-SOFA score (IRR 1.06, p < .001) and with the diagnosis of shock (IRR 5.78, p < .001). In patients without MIS-C, it was associated with higher p-SOFA score (IRR 1.05, p = .022). The mortality rate was 3%, being lower in MIS-C patients compared to patients admitted for other reasons (0.5% vs. 9.4%, p < .001). It was also lower in previously healthy patients compared to patients with previous comorbidities (0.9% vs. 9.7%, p < .001). Severe SARS-CoV2 infection is uncommon in the pediatric population. In our series, respiratory distress was rare, being MIS-C the most frequent cause of PICU admission related to SARS-CoV2. In most cases, the course of the disease was mild except in children with previous diseases.

Prognostic factors of sepsis in children with acute leukemia admitted to the pediatric intensive care unit.

To analyze the prognostic factors of sepsis in children with acute leukemia admitted to the pediatric intensive care unit (PICU) and to compare the efficacy of different scoring systems for predicting the outcome of children. Patients with an acute leukemia diagnosis admitted to a tertiary care university hospital PICU due to sepsis during chemotherapy between May 2015 and August 2022 were retrospectively analyzed through an electronic medical record system. During this period, 693 children with acute leukemia initially diagnosed were admitted to the center, and 155 (22.3%) of them were transferred to PICU due to deterioration of the disease during treatment. Total 109 (70.3%) patients were transferred to PICU due to sepsis. Here, 17 patients was excluded (prior treatment from another hospital; referring from other hospitals; discontinued treatment; incomplete medical record). Of the 92 patients studied, the mortality rate was 35.9%. Multivariate analysis revealed that remission status, lactate level, invasive mechanical ventilation (IMV), and inotropic support within 48hours after PICU transfer were independent risk factors for PICU mortality. The pediatric sequential organ failure assessment (PSOFA) score had the greatest predictive validity for hospital mortality (area under the receiver operating characteristic curve [AUROC]: 0.83, 95% confidence intervals [CI]: 0.74-0.92), followed by the pediatric early warning score (PEWS) (0.82, 0.73-0.91) and pediatric critical illness score (PCIS) (0.79, 0.69-0.88). The mortality rate among children with acute leukemia complicated with sepsis is high after being transferred to the PICU. Various scoring systems can be used to monitor the clinical status of patients, identify sepsis early, detect critical illness, and determine the optimal time for transfer to the PICU for supportive treatment, thereby improving the prognosis of these patients.

Hematological Alterations and their Prognostic Significance in Critically ill Children Admitted to the PICU

ABSTRACT Objective: Hematological parameters such as complete blood count, including red cell distribution width and prothrombin time, activated partial thromboplastin time, and international normalized ratio (INR) are the earliest markers of critical illness. This study was undertaken to evaluate their significance in prognosticating critically ill children admitted to the pediatric intensive care unit (PICU). Methodology: This was a cross-sectional and observational study on 125 critically ill children aged 1 month to 12 years and admitted to the PICU of a tertiary care hospital, conducted from February 2019 to July 2020. Hematological alterations along with clinical profile, Pediatric Risk of Mortality III (PRISM III), and Pediatric Sequential Organ Failure Assessment (pSOFA) scores were analyzed, and prognosis was defined by invasive ventilation requirement, duration of PICU stay, and death. Result: Among the 125 critically ill children, 35.2% were infants. The most common cause of PICU admission was infections (29.6%) followed by the central nervous system (20.8%) and respiratory system (20.8%). Around one-third of the patients required invasive ventilation and about half of the patients required inotropic support in our cohort. Sixty-four percent of critically ill children were found to be anemic at the time of PICU admission. Approximately 50% had leukocytosis and only 6% presented with leukopenia. Thrombocytopenia was present in 24.8%, and 20.8% had thrombocytosis on admission. Fourteen point four percent had deranged INR values. Conclusion: Critically ill children with low hemoglobin (Hb) levels, low white blood cell (WBC) count, high red cell distribution width (RDW) values, and deranged INR required invasive ventilation during PICU stay. Both leukocytosis and leukopenia along with low Hb were associated with prolonged PICU stay and death. No such association was found with either thrombocytopenia or thrombocytosis.

The Various Scoring Systems in Pediatric Intensive Care Units: A Prospective Observational Study.

The discrimination power of the pediatric risk of mortality (PRISM), pediatric index of mortality (PIM), sequential organ failure assessment (SOFA), and pediatric logistic organ dysfunction (PELOD) may not always be true for countries such as India due to differences in factors from those nations where these scoring systems were validated. Therefore, this study was undertaken to determine and compare severity, course of illness, and outcomes in critically ill children admitted to the pediatric intensive care unit (PICU) using different scoring systems such as PRISM 4, PIM 3, PELOD 2, and the pediatric sequential organ failure assessment (pSOFA ) score, and to analyze the clinical spectrum and demographic profile of children admitted to the PICU. This was a prospective, single-center, observational study conducted in the PICU of the Indira Gandhi Institute of Medical Science, Patna, India, over two years. Two hundred children in the age group of one month to 14 years admitted to the PICU were recruited into the study. Prognostic scoring systems, including PRISM4 and PIM3, were used to compare the outcome, mortality, and length of PICU stay, whereas PELODS and pSOFA were descriptive scores that assessed the multiorgan dysfunction. A correlation between the different scoring systems and the outcome was determined. The majority of children (26.5%, n=53) were one to three years of age. The maximum number of patients was male (66.5%, n=133). Renal complications were the predominant admission diagnosis in 19% (n=38) of children. The mortality rate was found to be 18.5%. The mortality was most common in infants <1 year of age (n=11, 29.73%) and those of the male sex (n=22, 59.46%). A significant correlation was found between length of stay and mortality (p<0.00001). A significant positive correlation was observed between mortality and PRISM 4, PIM 3, PELOD 2, and pSOFA scores on the first day of admission (p<0.00001). The pSOFA and PELOD2 showed better discrimination power (area under the curve (AUC): 0.77 and 0.74, respectively). The study concluded that the pSOFA and PELOD2 scores are reliable predictors of mortality in critically ill children.

Predicting Clinical Deterioration and Mortality at Differing Stages During Hospitalization: A Systematic Review of Risk Prediction Models in Children in Low- and Middle-Income Countries

To determine which risk prediction model best predicts clinical deterioration in children at different stages of hospital admission in low- and middle-income countries. For this systematic review, Embase and MEDLINE databases were searched, and Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed. The key search terms were "development or validation study with risk-prediction model" AND "deterioration or mortality" AND "age 0-18years" AND "hospital-setting: emergency department (ED), pediatric ward (PW), or pediatric intensive care unit (PICU)" AND "low- and middle-income countries." The Prediction Model Risk of Bias Assessment Tool was used by two independent authors. Forest plots were used to plot area under the curve according to hospital setting. Risk prediction models used in two or more studies were included in a meta-analysis. We screened 9486 articles and selected 78 publications, including 67 unique predictive models comprising 1.5 million children. The best performing models individually were signs of inflammation in children that can kill (SICK) (ED), pediatric early warning signs resource limited settings (PEWS-RL) (PW), and Pediatric Index of Mortality (PIM) 3 as well as pediatric sequential organ failure assessment (pSOFA) (PICU). Best performing models after meta-analysis were SICK (ED), pSOFA and Pediatric Early Death Index for Africa (PEDIA)-immediate score (PW), and pediatric logistic organ dysfunction (PELOD) (PICU). There was a high risk of bias in all studies. We identified risk prediction models that best estimate deterioration, although these risk prediction models are not routinely used in low- and middle-income countries. Future studies should focus on large scale external validation with strict methodological criteria of multiple risk prediction models as well as study the barriers in the way of implementation. PROSPERO International Prospective Register of Systematic Reviews: Prospero ID: CRD42021210489.

Pediatric sepsis diagnostic and prognostic biomarkers: pancreatic stone protein, copeptin, and apolipoprotein A-V

BackgroundWe assessed serum concentrations of pancreatic stone protein (PSP), copeptin, and apolipoprotein A-V (APOA5) biomarkers for the diagnosis and prognosis of pediatric sepsis, a condition associated with high mortality.MethodsThis prospective study included 180 children admitted to the Pediatric Intensive Care Unit and 100 healthy controls at Menoufia University Hospital. Pediatric Risk of Mortality (PRISM), Pediatric Index of Mortality-2 (PIM2), and Pediatric Sequential Organ Failure Assessment (pSOFA) scores were calculated. Serum PSP, copeptin and APOA5 were measured once within 24 h of admission.ResultsPSP, copeptin, and APOA5 were significantly higher in the patients than in the controls (p < 0.001). PSP and copeptin were increased among children who required mechanical ventilation (MV), had multiple organ dysfunctions, and were non-survivors, but APOA5 was decreased in those children. Logistic regression analyses showed that high pSOFA, high PSP and copeptin, low APOA5, and use of MV were associated with mortality. The receiver operating characteristic revealed that the area under the curve (AUC) for APOA5, copeptin, and PSP (0.965, 0.960, and 0.868, respectively) demonstrated high sensitivity (96%, 94%, and 80%) for sepsis diagnosis. The AUC values for PSP, copeptin, and APOA5 were 0.709, 0.705, and 0.571, respectively, with sensitivities of 74%, 58%, and 58% for mortality prediction.ConclusionsPSP, copeptin, and APOA5 are promising diagnostic biomarkers for pediatric sepsis but inadequate predictors of mortality.ImpactApolipoprotein A-V (APOA5), copeptin, and pancreatic stone protein (PSP) are acute-phase proteins with diagnostic value in evaluating critically ill pediatric patients with sepsis and detecting sepsis severity.PSP and copeptin had the power to discriminate non-survivors from survivors.APOA5 was less powerful than the other biomarkers in discriminating between survivors and non-survivors.

Impact of Optimizing Critical Care Resources in Pediatric Surgery Patients

Background: Prediction scores could help to timely identify patients at risk. More intense care monitoring outside the pediatric intensive care unit (PICU) could improve outcomes. These concepts of critical care without borders could be implemented shortly with local resources and improve patient safety. Predict more, do less in PICUs, and more in the ward. The aim of this work was to evaluate the impact of prediction scores for identification of postoperative high risk surgical patients and their need for pediatric intensive care unit admission.&#x0D; Methods: This prospective study was carried out on 40 pediatric patients. The studied patients were divided into three groups. LR Group: 14 cases with ASA = 1, 2 PEWS ≤ 2, pSOFA ≤ 7, LqSOFA &lt; 2. IR Group: 10 cases with PEWS = 3, 4 pSOFA = 8 -11 HiR Group: 16 cases with ASA = 3 -5, PEWS ≥ 5, pSOFA ≥ 12, LqSOFA ≥ 2. American Society of Anaesthesiologists (ASA) scoring was obtained from each patient preop. The Pediatric Early Warning (PEWS) Scoring was obtained from each patient immediately postop. The Pediatric Sequential Organ Failure Assessment (pSOFA) Scoring was obtained from patients admitted to PICU on day 1 and day 7. Liverpool quick Sequential Organ Failure Assessment (LqSOFA) scoring was obtained from all patients on admission.&#x0D; Results: Regarding prognostic performance of different scores to predict mortality. For ASA score: it was statistically significant with AUC = .882, cut off values &gt; 3, sensitivity = 75%, specificity = 88.89%, PPV = 42.9% and NPV = 97%. -For PEW score: it was statistically significant with AUC = .892, cut off values &gt; 5, sensitivity = 79%, specificity = 80.56%, PPV =30% and NPV = 96.7%. -For pSOFA score: it was statistically significant with AUC = .931, cut off values &gt; 14, sensitivity = 85%, specificity = 86.11%, PPV =37.5%, and NPV = 96.9%. All ASA, PEW, and pSOFA were statistically significant as univariate but none was significant as multivariate.&#x0D; Conclusions: ASA score, pSOFA score and PEWS score were significant predictor to length of stay (&gt;21 days). ASA score, PEW score and pSOFA score were significant as predictor to mortality. ASA score and PEWS score were highly significant as to predict PICU Admission postop. PEWS score was highly significant as to predict PICU Admission postop. ASA, PEWs, and pSOFA were predictors for LOS for more than 21 days, predictors of mortality and predictors for PICU admission Postop. Decreased platelets and increased WBCs, urea, creatinine, AST, and RBG were significant with HiR. LqSOFA is a simple variable bedside tool for identifying septic patients at high risk for poor outcomes.

Value of complement component 3 in predicting the prognosis of children with sepsis

To investigate changes in complement component 3 (C3) levels in children with sepsis and its correlation with the severity of sepsis and to explore the significance of C3 in predicting mortality in children with sepsis. A retrospective analysis was conducted on 529 children with sepsis who were admitted to the Pediatric Intensive Care Unit in Hunan Children's Hospital between November 2019 and September 2021. The children were categorized into two groups based on their prognosis at day 28 after sepsis diagnosis: the survival group (n=471) and the death group (n=58). Additionally, the children were divided into normal C3 group (n=273) and reduced C3 group (n=256) based on the median C3 level (0.77 g/L) within 24 hours of admission. Clinical data and laboratory markers were compared between the groups, and assess the predictive value of C3 levels in relation to sepsis-related mortality. The death group exhibited significantly lower C3 levels compared to the survival group (P<0.05). Multivariate logistic regression analysis revealed that higher pediatric Sequential Organ Failure Assessment (p-SOFA) scores and lower C3 levels were closely associated with sepsis-related mortality (P<0.05). The receiver operating characteristic curve (ROC) analysis demonstrated that combination of p-SOFA scores and C3 levels yielded an area under the ROC curve of 0.852, which was higher than that of each indicator alone (P<0.05). C3 can serve as an indicator to assess the severity and prognosis of sepsis in children. The combination of p-SOFA scores and C3 levels holds good predictive value for mortality in children with sepsis.

The novel biomarkers for assessing clinical benefits of continuous renal replacement therapy in pediatric sepsis: a pilot study

BackgroundContinuous renal replacement therapy (CRRT) has been considered as an adjuvant therapy for sepsis. However, the novel biomarker to evaluate the benefits of CRRT is limited. The aim of this study was to explore the novel biomarkers involved in the impact of CRRT in pediatric sepsis.MethodsThe serum proteomic profiles on the 7th day after CRRT (CRRT 7th day) compared with before CRRT (CRRT 1st day) was determined in 3 children with sepsis as a discovery set. The screened candidates were confirmed in the validation cohort including patients received CRRT (CRRT group) and without CRRT (non-CRRT group). We defined that pediatric sequential organ failure assessment score (pSOFA) in pediatric patients with sepsis decreased by 2 points or more on the CRRT 1st day compared with CRRT initiation as CRRT responders. The changes of serum biomarkers were compared between CRRT responders and CRRT non-responders. Moreover, correlation analysis was further conducted in pediatric sepsis.ResultsA total of 145 differentially expressed proteins were found according to the serum proteomics profiles. By visualizing the interaction between the differential proteins, 6 candidates (Lysozyme C [LYZ], Leucine-rich alpha-2-glycoprotein [LRG1], Fibromodulin [FMOD], Alpha-1-antichymotrypsin [SERPINA3], L-selectin [SELL], Monocyte differentiation antigen CD14 [CD14]) were screened. In the validation cohort, serum levels of LYZ and LRG1 showed a higher trend on the CRRT 7th day than that on the 1st day in the non-CRRT group. However, the changes in levels of LYZ and LRG1 on the 7th day was significant in the CRRT group (p = 0.016, p = 0.009, respectively). Moreover, the levels of LYZ and LRG1 on the CRRT 7th day in the CRRT group were significantly higher than that in the non-CRRT group (p < 0.001, p = 0.025). Decreased levels of CD14 were associated with sepsis recovery, but not associated with CRRT. There were no significantly difference in serum FMOD, SERPINA3, and SELL levels. Importantly, serum LYZ and LRG1 levels changed in CRRT responders, but not CRRT non-responders. Further analysis indicated that serum LYZ levels were correlated to total platelet counts, aspartate aminotransferase (ALT), alanine aminotransferase (AST), and albumin levels, and serum LRG1 level were correlated to total platelet count and TBIL levels on the 1st day in the CRRT group. Protein–protein interaction network analysis displayed that serum LYZ and LRG1 were involved in the process of inflammatory response, leucocytes adhesion to vascular endothelial cell, as well as complement activation.ConclusionElevated serum LYZ and LRG1 levels are associated with clinical benefits of CRRT during sepsis.