The First Signs of Change: Predicting Clinical Deterioration and Mortality at Different Stages During Hospital Admission. A Systematic Review of Risk Prediction Models in Children in Low-And Middle-Income Countries

Brink, Dominic; Vries, Isabelle S A de; Datema, Myrthe; Perot, Lyric; Sommers, Ruby; Daams, Joost G.; Calis, Job C. J.; Brals, Daniëlla; Voskuijl, Wieger

doi:10.2139/ssrn.4138286

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, many of these clinical signs are subjective and even the best collection of clinical signs misses children who die. 22 , 23 …”

Section: What Is the Role Of Pulse Oximetry In Pre-hospital Settings?mentioning

confidence: 99%

Hypoxaemia and risk of death among children: rethinking oxygen saturation, risk-stratification, and the role of pulse oximetry in primary care

Graham,

King,

Duke

et al. 2024

The Lancet Global Health

View full text Add to dashboard Cite

“…In addition, many of these clinical signs are subjective and even the best collection of clinical signs misses children who die. 22 , 23 …”

Section: What Is the Role Of Pulse Oximetry In Pre-hospital Settings?mentioning

confidence: 99%

Hypoxaemia and risk of death among children: rethinking oxygen saturation, risk-stratification, and the role of pulse oximetry in primary care

Graham,

King,

Duke

et al. 2024

The Lancet Global Health

View full text Add to dashboard Cite

“…The pSOFA score on the first PICU day was previously shown to have good discrimination (area under the receiver operating characteristic curve [AUC-ROC], 0.88; 95% CI, 0.86–0.91) for predicting in-hospital mortality (8). However, only a few studies have externally validated pSOFA, and those study populations were distinct from the original quaternary care U.S. PICU population in which the score was developed (10, 11).…”

mentioning

confidence: 99%

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

Akhondi-Asl,

Luchette,

Mehta

et al. 2024

Pediatric Critical Care Medicine

View full text Add to dashboard Cite

OBJECTIVES: 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. DESIGN: Single-center, retrospective cohort study. SETTING: Quaternary 40-bed PICU. PATIENTS: All patients admitted to the PICU between 2015 and 2021 with ICU stay of at least 24 hours. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: 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). CONCLUSIONS: 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.

show abstract

The First Signs of Change: Predicting Clinical Deterioration and Mortality at Different Stages During Hospital Admission. A Systematic Review of Risk Prediction Models in Children in Low-And Middle-Income Countries

Cited by 2 publications

References 0 publications

Hypoxaemia and risk of death among children: rethinking oxygen saturation, risk-stratification, and the role of pulse oximetry in primary care

Hypoxaemia and risk of death among children: rethinking oxygen saturation, risk-stratification, and the role of pulse oximetry in primary care

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

Contact Info

Product

Resources

About