Epidemiology of pediatric sepsis in the pediatric intensive care unit of king Abdulaziz Medical City, Jeddah, Saudi Arabia

Humoodi, Mohamed O.; Al-Dabbagh, Mona; Salem, Maher M.; Talhi, Yousef M. Al; Osman, Sara; Bakhsh, Mohammed; Alzahrani, Abdullah M.; Azzam, Maha

doi:10.1186/s12887-021-02686-0

Cited by 9 publications

(15 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…23 The highest independent mortality risk factors in our patients as determined by logistic multivariate regression analyses were higher pSOFA, MV requirement, and high levels of PSP and copeptin and low levels of APOA5. Our results are consistent with a previous study 27 in which the univariate logistic regression analysis of variables revealed that increased mortality in PICU patients with sepsis was significantly associated with an increase in pSOFA score (>4) and MV use. Multivariate regression analysis of an increase in pSOFA score (>4) was significantly associated with increased mortality, with a calculated odds ratio of 3.6 (95% CI, 1.30-9.93).…”

Section: Discussionsupporting

confidence: 93%

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

et al. 2023

View full text Add to dashboard Cite

Background We 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. Methods This 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. Results PSP, 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. Conclusions PSP, copeptin, and APOA5 are promising diagnostic biomarkers for pediatric sepsis but inadequate predictors of mortality. Impact Apolipoprotein 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.

show abstract

Section: Discussionsupporting

confidence: 93%

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

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Matics et al found that the best threshold of pSOFA for differentiating mortality rate was >8 ( 9 ). In another single center study, a pSOFA Score >4 was associated with a significant increase in mortality ( 18 ).…”

Section: Discussionmentioning

confidence: 98%

The Correlation Between Mechanical Ventilation Duration, Pediatric Sequential Organ Failure Assessment Score, and Blood Lactate Level in Children in Pediatric Intensive Care

Hua

2022

Front. Pediatr.

View full text Add to dashboard Cite

ObjectiveThis study aimed to investigate whether the ventilation duration for children undergoing invasive mechanical ventilation (IMV) in pediatric intensive care unit (PICU) is correlated with pediatric sequential organ failure (pSOFA) score, white blood cell (WBC) count, blood lactate level, and duration of fever.MethodsRetrospectively reviewed that the medical records of patients who received IMV in the PICU of Jingzhou Central Hospital between January 2018 and December 2020. According to the duration of IMV in diagnosis-related groups, these patients were divided into two groups: group A, ventilation duration <96 h, and group B, ventilation duration ≥96 h. Each group's pSOFA scores, WBC counts, blood lactate levels, and durations of fever were compared. Logistic regression analysis was used to analyze the clinical risk factors of ventilation duration ≥96 h, and the receiver operator characteristic (ROC) curve was drawn.ResultsA total of 42 patients were included, including 23 in group A and 19 in group B. The difference in pSOFA score between group A and group B was statistically significant (P < 0.05), while the differences in blood lactate level, duration of fever, and WBC count between the two groups were not statistically significant (P > 0.05). Logistic regression analysis was conducted to analyze the influencing factors of mechanical ventilation duration ≥96 h. An ROC curve was drawn with pSOFA score as a test variable and duration of mechanical ventilation ≥96 h as a state variable, revealing that the area under the curve was 0.76 (SE = 0.075, 95% CI: 0.614–0.906, P = 0.005). The sensitivity and specificity were 68.4 and 73.9%, respectively, and the corresponding pSOFA score was 7.5.ConclusionWhen the pSOFA score ≥8, the risk of mechanical ventilation duration ≥96 h increases.

show abstract

“…5 9 Established screening tools such as the Paediatric Early Warning Score may support the timeliness of detecting clinical deterioration in children that can lead to sepsis. 10 Recently, adaptations to the Sequential Organ Assessment Score (SOFA) for paediatric patients and neonates have shown promise in identifying children at risk for mortality with sepsis 11 ; however, it is controversial whether these scores provide value in low-resource environments. [12][13][14] Development and implementation of algorithms such as the Sepsis Prediction and Optimisation Therapy that can analyse electronic health data in real time to provide a rule-based approach to initiate a physical sepsis screen have also been reported.…”

Section: Strengths and Limitations Of This Studymentioning

confidence: 99%

Automated digital technologies for supporting sepsis prediction in children: a scoping review protocol

et al. 2022

View full text Add to dashboard Cite

IntroductionWhile there have been several literature reviews on the performance of digital sepsis prediction technologies and clinical decision-support algorithms for adults, there remains a knowledge gap in examining the development of automated technologies for sepsis prediction in children. This scoping review will critically analyse the current evidence on the design and performance of automated digital technologies to predict paediatric sepsis, to advance their development and integration within clinical settings.Methods and analysisThis scoping review will follow Arksey and O’Malley’s framework, conducted between February and December 2022. We will further develop the protocol using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews. We plan to search the following databases: Association of Computing Machinery (ACM) Digital Library, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Embase, Google Scholar, Institute of Electric and Electronic Engineers (IEEE), PubMed, Scopus and Web of Science. Studies will be included on children >90 days postnatal to <21 years old, predicted to have or be at risk of developing sepsis by a digitalised model or algorithm designed for a clinical setting. Two independent reviewers will complete the abstract and full-text screening and the data extraction. Thematic analysis will be used to develop overarching concepts and present the narrative findings with quantitative results and descriptive statistics displayed in data tables.Ethics and disseminationEthics approval for this scoping review study of the available literature is not required. We anticipate that the scoping review will identify the current evidence and design characteristics of digital prediction technologies for the timely and accurate prediction of paediatric sepsis and factors influencing clinical integration. We plan to disseminate the preliminary findings from this review at national and international research conferences in global and digital health, gathering critical feedback from multidisciplinary stakeholders.Scoping review registrationhttps://osf.io/veqha/?view_only=f560d4892d7c459ea4cff6dcdfacb086

show abstract

Epidemiology of pediatric sepsis in the pediatric intensive care unit of king Abdulaziz Medical City, Jeddah, Saudi Arabia

Cited by 9 publications

References 19 publications

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

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

The Correlation Between Mechanical Ventilation Duration, Pediatric Sequential Organ Failure Assessment Score, and Blood Lactate Level in Children in Pediatric Intensive Care

Automated digital technologies for supporting sepsis prediction in children: a scoping review protocol

Contact Info

Product

Resources

About