Literature DB >> 35672773

Validation of an adapted Pediatric Sepsis Score in children admitted to PICU with invasive infection and sepsis: a retrospective analysis of a Dutch national cohort.

Navin P Boeddha1,2, Luregn J Schlapbach3,4, Idse H Visser5, Nicolaas J G Jansen6,7.   

Abstract

We validated an adapted form of the Pediatric Sepsis Score (aPSS), a disease-specific severity score available within 60 min of PICU admission, in children with invasive infection. aPSS consist of all components of PSS except lactate. aPSS predicted mortality in children with invasive infection (n = 4096; AUC 0.70 (95% CI 0.67-0.73)) and in children with sepsis (n = 1690; AUC 0.71 (0.67-0.76)). aPSS can be an adequate tool to predict outcome in children admitted to PICU with invasive infection or sepsis, especially in situations where lactate is not available within 60 min.
© 2022. The Author(s).

Entities:  

Keywords:  Child; Mortality; Organ dysfunction; Score; Sepsis; Septic shock

Year:  2022        PMID: 35672773      PMCID: PMC9172174          DOI: 10.1186/s40560-022-00618-3

Source DB:  PubMed          Journal:  J Intensive Care        ISSN: 2052-0492


To the editor,

The revised sepsis definitions in adults [1] highlight the need to identify patients with infection subject to substantially higher mortality. Early recognition of high-risk sepsis patients by organ dysfunction scores is key to select patients for specific therapies and for enrolment in trials. While most organ dysfunction scores are based on the worst state within 24 h [2], the fulminant nature of pediatric sepsis warrants tools that can be applied to patients upon presentation. We previously developed the Pediatric Sepsis Score (PSS) [3], available within 60 min of PICU admission and predicting mortality superior to Paediatric Index of Mortality-2 (PIM2), also calculated within 60 min of PICU admission [4]. The PSS includes respiratory, cardiovascular, metabolic (lactate) and neurologic variables. As lactate is not always available within 60 min of PICU admission, we omitted this and studied an adapted form of PSS (aPSS). This study aims to validate aPSS in an independent cohort and to compare its performance with PIM2.

Materials and methods

A retrospective analysis of the Dutch Pediatric Intensive Care Evaluation (PICE) registry (www.pice.nl) which prospectively records all children admitted to the 8 Dutch PICUs. We included non-elective patients < 16 years, who were admitted to PICU from 2003 to 2016, when a diagnosis of any invasive infection or sepsis was registered in the principal and/or the first underlying diagnostic fields. Invasive infection includes meningitis, pneumonia/pneumonitis, peritonitis, necrotizing fasciitis, osteomyelitis, endocarditis, tracheitis, epiglottitis, sepsis, septic shock, or toxic shock. This coding system is similar to the ANZPIC registry diagnostic code list [5]. The aPSS was calculated as sum of scores allocated for each predictor; PaO2/FiO2 ratio (0 =  ≥ 300, 3 = 100–300, 5 =  < 100), ventilation during the first hour (0 = no, 3 = yes), systolic blood pressure (3 = age-specific hypotension), cardiac arrest (0 = no, 5 = yes), and pupils (0 = both reactive, 10 = both dilated, unresponsive) [3]. The primary outcome was PICU mortality. Patients were classified as “having an underlying condition” if a chronic condition was present in any diagnostic field including the associated diagnostic fields [6, 7]. The AUC of aPSS was compared with PIM2.

Results

4096 children (57% male, median age 2 years (IQR 0–7y)) were admitted to PICU with any invasive infection, including a subgroup of 1690 patients with sepsis (56% male, median age 2 years (IQR 0-8y)). Of all children, 1987/4096 (49%) were mechanically ventilated in the first hour of admission, the median PICU length of stay was 3.9 days (IQR 1.6–8.5 days), with a mean predicted death rate of 6.7% (SD 11.7) as per PIM2 and an observed mortality of 8.0% (329/4096). In the subgroup of patients with sepsis, 794/1690 (47%) were mechanically ventilated in the first hour, the median PICU length of stay was 3.2 days (IQR 1.3–7.3d), with a mean predicted death rate of 8.9% (SD 14.5) as per PIM2 and an observed mortality of 12% (210/1690). aPSS was correlated to mortality in children with any invasive infection (Spearman r = 0.20, p < 0.001) and in the subgroup of children with sepsis (Spearman r = 0.26, p < 0.001) (Fig. 1). This finding was present in both children without underlying conditions and with underlying conditions (p < 0.001).
Fig. 1

PICU mortality in children admitted to the Dutch PICUs is stratified by the adapted Pediatric Sepsis Score. A Children with any invasive infection (n = 4096. B Children with sepsis (n = 1690)

PICU mortality in children admitted to the Dutch PICUs is stratified by the adapted Pediatric Sepsis Score. A Children with any invasive infection (n = 4096. B Children with sepsis (n = 1690) In children with any invasive infection, aPSS predicted mortality with an AUC of 0.70 (95%-CI 0.67–0.73) (Table 1). In children with sepsis, aPSS predicted mortality with an AUC of 0.71 (95%-CI 0.67–0.76). aPSS discriminated better in children without underlying conditions than in children with underlying conditions. Comparing the aPSS with PIM2, the discrimination ability on the primary outcome was less in any invasive infection, but equal in sepsis.
Table 1

AUC for aPSS as compared with the PIM2 are shown for PICU mortality

Patient categoryPICU mortality
Any invasive infectiona (n = 4096)

aPSS: 0.70 (0.67–0.73)

PIM2: 0.74 (0.71–0.77)*

Any invasive infectiona without underlying conditions (n = 1922)

aPSS: 0.81 (0.77–0.86)

PIM2: 0.85 (0.81–0.90)*

Any invasive infectiona with underlying conditions (n = 2174)

aPSS: 0.65 (0.61–0.69)

PIM2: 0.68 (0.65–0.72)*

Sepsisb (n = 1690)

aPSS: 0.71 (0.67–0.76)

PIM2: 0.73 (0.69–0.77)

Sepsisb without underlying conditions (n = 821)

aPSS: 0.83 (0.78–0.89)

PIM2: 0.84 (0.79–0.90)

Sepsisb with underlying conditions (n = 869)

aPSS: 0.65 (0.60–0.71)

PIM2: 0.67 (0.61–0.72)

AUC with the respective 95%-confidence intervals are shown for the primary outcome (PICU mortality)

*p < 0.05 for comparison between aPSS and PIM2

aInvasive infection: meningitis, pneumonia/pneumonitis, peritonitis, necrotizing fasciitis, osteomyelitis, endocarditis, tracheitis, epiglottitis, sepsis, septic shock, or toxic shock as the principal PICU diagnosis or as the first underlying diagnosis

bSepsis: sepsis, septic shock, or toxic shock as the principal PICU diagnosis or as the first underlying diagnosis

a, bANZPIC registry diagnostic codes [5]

AUC for aPSS as compared with the PIM2 are shown for PICU mortality aPSS: 0.70 (0.67–0.73) PIM2: 0.74 (0.71–0.77)* aPSS: 0.81 (0.77–0.86) PIM2: 0.85 (0.81–0.90)* aPSS: 0.65 (0.61–0.69) PIM2: 0.68 (0.65–0.72)* aPSS: 0.71 (0.67–0.76) PIM2: 0.73 (0.69–0.77) aPSS: 0.83 (0.78–0.89) PIM2: 0.84 (0.79–0.90) aPSS: 0.65 (0.60–0.71) PIM2: 0.67 (0.61–0.72) AUC with the respective 95%-confidence intervals are shown for the primary outcome (PICU mortality) *p < 0.05 for comparison between aPSS and PIM2 aInvasive infection: meningitis, pneumonia/pneumonitis, peritonitis, necrotizing fasciitis, osteomyelitis, endocarditis, tracheitis, epiglottitis, sepsis, septic shock, or toxic shock as the principal PICU diagnosis or as the first underlying diagnosis bSepsis: sepsis, septic shock, or toxic shock as the principal PICU diagnosis or as the first underlying diagnosis a, bANZPIC registry diagnostic codes [5]

Discussion

Improving treatment of children with suspected sepsis relies on accurate and rapid recognition of patients at higher risk of poor outcomes. Whereas PSS was developed in Australia and New Zealand, this independent validation demonstrates that aPSS performs adequately for mortality. aPSS seems an important addition as in many locations lactate is not available within 60 min of admission to a PICU. Overall, the performance of aPSS in the Dutch validation dataset was lower compared to the performance of PSS reported in the Australian and New Zealand cohort, in which the PSS was derived. First, lactate was an independent predictor of mortality in the original dataset [3], and hence lack of lactate likely contributed to lower score performance. Second, different practices in coding strategies may affect patient severity. However, the findings demonstrate the importance of independent validation as the original score was developed within cohort. Despite these limitations, this validation study demonstrates that aPSS could be a tool to detect organ dysfunction, to predict mortality, and can be used especially in situations where lactate is not available within 60 min. The discriminative performance of aPSS was less in invasive infections, but equally compared to PIM2 in sepsis. Future studies should aim to validate the aPSS and full PSS including lactate more extensive.
  7 in total

1.  The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3).

Authors:  Mervyn Singer; Clifford S Deutschman; Christopher Warren Seymour; Manu Shankar-Hari; Djillali Annane; Michael Bauer; Rinaldo Bellomo; Gordon R Bernard; Jean-Daniel Chiche; Craig M Coopersmith; Richard S Hotchkiss; Mitchell M Levy; John C Marshall; Greg S Martin; Steven M Opal; Gordon D Rubenfeld; Tom van der Poll; Jean-Louis Vincent; Derek C Angus
Journal:  JAMA       Date:  2016-02-23       Impact factor: 56.272

2.  Pediatric deaths attributable to complex chronic conditions: a population-based study of Washington State, 1980-1997.

Authors:  C Feudtner; D A Christakis; F A Connell
Journal:  Pediatrics       Date:  2000-07       Impact factor: 7.124

3.  Prediction of pediatric sepsis mortality within 1 h of intensive care admission.

Authors:  Luregn J Schlapbach; Graeme MacLaren; Marino Festa; Janet Alexander; Simon Erickson; John Beca; Anthony Slater; Andreas Schibler; David Pilcher; Johnny Millar; Lahn Straney
Journal:  Intensive Care Med       Date:  2017-02-20       Impact factor: 17.440

4.  Factors Associated With Mortality in Low-Risk Pediatric Critical Care Patients in The Netherlands.

Authors:  Carin W Verlaat; Idse H Visser; Nina Wubben; Jan A Hazelzet; Joris Lemson; Dick van Waardenburg; Douwe van der Heide; Nicolette A van Dam; Nicolaas J Jansen; Mark van Heerde; Cynthia van der Starre; Roelie van Asperen; Martin Kneyber; Job B van Woensel; Mark van den Boogaard; Johannes van der Hoeven
Journal:  Pediatr Crit Care Med       Date:  2017-04       Impact factor: 3.624

5.  PIM2: a revised version of the Paediatric Index of Mortality.

Authors:  Anthony Slater; Frank Shann; Gale Pearson
Journal:  Intensive Care Med       Date:  2003-01-23       Impact factor: 17.440

6.  The ANZPIC registry diagnostic codes: a system for coding reasons for admitting children to intensive care.

Authors:  Anthony Slater; Frank Shann; Julie McEniery
Journal:  Intensive Care Med       Date:  2003-01-23       Impact factor: 17.440

7.  Prognostic accuracy of age-adapted SOFA, SIRS, PELOD-2, and qSOFA for in-hospital mortality among children with suspected infection admitted to the intensive care unit.

Authors:  Luregn J Schlapbach; Lahn Straney; Rinaldo Bellomo; Graeme MacLaren; David Pilcher
Journal:  Intensive Care Med       Date:  2017-12-19       Impact factor: 17.440

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.