Evidence map›Paper›PMID 41240119›Full record

ArticleEuropean journal of pediatrics2025

Performance of the pediatric index of mortality (PIM-3) in a Moroccan PICU: challenges in resource-limited settings.

Imad Daoudi, Djoudline Doughmi, Said Benlamkaddem, Adnane Berdai, Mustapha Harandou

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Article in European journal of pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Imad DaoudiHassan II University Hospital, Mother-Child ICU, Fez, Morocco. dr.imad.daoudi@gmail.com.ORCID http://orcid.org/0009-0005-1255-0434
Djoudline DoughmiHassan II University Hospital, Mother-Child ICU, Fez, Morocco.ORCID http://orcid.org/0000-0003-2443-6450
Said BenlamkaddemHassan II University Hospital, Mother-Child ICU, Fez, Morocco.ORCID http://orcid.org/0000-0001-5572-3079
Adnane BerdaiHassan II University Hospital, Mother-Child ICU, Fez, Morocco.
Mustapha HarandouHassan II University Hospital, Mother-Child ICU, Fez, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prognostic scores such as the Pediatric Index of Mortality (PIM-3) are widely used to estimate mortality risk in PICUs, yet their performance in low- and middle-income countries (LMICs) remains uncertain. We aimed to evaluate the predictive performance of PIM-3 in a Moroccan PICU; associations with ICU length of stay (LOS) and duration of mechanical ventilation (MV) were secondary exploratory outcomes. We conducted a prospective cohort study in the Mother-Child PICU at Hassan II University Hospital (Fez, Morocco) from June 1 to September 30, 2024, including all children aged 1 month to 16 years. PIM-3 variables were collected at admission. The primary focus was model performance: discrimination (AUROC, AUPRC), calibration (Hosmer-Lemeshow), and standardized mortality ratio (SMR). Univariable and multivariable regressions were used for the secondary exploratory analyses (mortality correlates, LOS, and MV duration). Among 122 patients, observed mortality was 28.7%, exceeding PIM-3 predictions (SMR = 7.7; p < 0.001). PIM-3 showed good discrimination (AUROC = 0.86; AUPRC = 0.65) but poor calibration. In secondary exploratory analyses, higher PIM-3 scores, lower GCS, multiple organ failures, and need for MV were associated with mortality. MV increased ICU stay duration and organ failures prolonged ventilation duration.

conclusionIn this Moroccan PICU, PIM-3 showed good discrimination but poor calibration and thus underestimated mortality. These findings support considering local recalibration in future work, and exploration of machine-learning-based adaptation for LMIC settings.  Clinical trial number: Not applicable. WHAT IS KNOWN: • PIM-3 is widely used to estimate PICU mortality risk. It was developed and calibrated largely in high-resource settings. • External validations often show good discrimination but variable calibration, with under- or over-estimation in LMICs due to differences in case-mix, care processes, and resources. WHAT IS NEW: • In a prospective Moroccan PICU cohort (n=122), PIM-3 showed good discrimination (AUROC 0.86; AUPRC 0.65) but markedly underestimated mortality (SMR 7.7). • Higher PIM-3 risk, lower Glasgow Coma Scale, multiple organ failures, and mechanical ventilation were associated with death, underscoring the need for local recalibration and exploration of machine learning-based adaptations for LMICs.

Indexed as

Hospital MortalityIntensive Care Units, PediatricAdolescentChildChild, PreschoolDeveloping CountriesFemaleHumansInfantInfant, NewbornLength of StayMaleMoroccoPrognosisProspective StudiesResource-Limited SettingsLow- and middle-income countries (LMICs)Mechanical ventilationMortality predictionPediatric Index of Mortality (PIM-3)Pediatric intensive care units (PICUs)Prognostic scoring systems

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.