Evidence map›Paper›PMID 41645301›Full record

ArticleCritical care (London, England)2026

Microvascular phenotypes in pediatric sepsis identified by machine learning: prognostic implications for organ dysfunction and mortality.

Juan Carlos Beltrán, Jaime Fernández-Sarmiento, Alvaro David Orjuela-Cañón, L Nelson Sanchez-Pinto, Juan Pablo Fernández-Sarta, Isabella La Rotta, Daniel Fernández-Sarta, Alejandro Coutin, Juan Esteban Godoy, Hans Vink and 3 more

Abstract read
In one paragraph

Article in Critical care (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Juan Carlos Beltrán *School of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia.
Jaime Fernández-Sarmiento *Department of Pediatrics and Intensive Care, Universidad de La Sabana, Chía, Colombia. jaimefe@unisabana.edu.co.
Alvaro David Orjuela-CañónSchool of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia.
L Nelson Sanchez-PintoDepartment of Pediatrics, Northwestern University Feinberg School of Medicine, Stanley Manne Children´s Research Institute, Ann & Robert H. Lurie Children's Hospital, Chicago, IL, USA.
Juan Pablo Fernández-SartaSchool of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia.
Isabella La RottaSchool of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia.
Daniel Fernández-SartaMICRO-COL Research Group, Universidad de La Sabana/Fundación Cardioinfantil-LaCardio, Chía, Colombia.
Alejandro CoutinSchool of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia.
Juan Esteban GodoySchool of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia.
Hans VinkGlycoCalyx Research Institute LLC, Alpine, USA.
Sainath RamanChildren's Intensive Care Research Program, Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia.
Niranjan KissoonDepartment of Pediatrics, University of British Columbia, Children's Hospital Research Institute, BC Children's Hospital, Vancouver, BC, Canada.
Microcirculation-Colombia (MICRO-COL) Research Group

Funding

Universidad de La Sabana MED 256-2019
6 · The paper itself

Abstract

backgroundPediatric sepsis exhibits marked heterogeneity. Early integration of clinical, biomarker, and microcirculatory data may refine risk stratification and identify reproducible phenotypes associated with distinct outcomes.

methodsWe performed a secondary analysis of a prospective sepsis cohort (2018–2024). A temporal split defined derivation (2018–2022) and validation (2023–2024) cohorts, including demographics, clinical variables, biomarkers, and sublingual videomicroscopy (GlycoCheck®). Dimensionality reduction was performed using Factorial Analysis of Mixed Data, followed by unsupervised clustering with Ward.D2. The primary outcome was persistence of multiple organ dysfunction syndrome (MODS) at 72 h after admission.

resultsAmong 239 patients (median age 2.1 years [IQR 0.5–11.1]; 52% female), three distinct microvascular phenotypes were identified: Preserved (n = 52), Partially Compensated (n = 75), and Decompensated (n = 112). Patients in the Preserved phenotype were older, required less organ support, and exhibited favorable microvascular indices, characterized by higher capillary density and mild glycocalyx alteration. Partially Compensated patients exhibited marked inflammatory activation, requiring greater vasoactive and ventilatory support and longer PICU stays. Microcirculatory assessment showed moderate reductions in capillary density and subtle glycocalyx changes, indicating a partially compensated response to inflammatory stress. Decompensated patients were predominantly younger and had more frequent multi-organ dysfunction, acute kidney injury, and universal mechanical ventilation, with the lowest capillary density and evidence of global microvascular failure. The risk of MODS within 72 h was highest in the Decompensated phenotype compared with the Preserved group (aHR 2.47; 95% CI 1.04–8.44; p = 0.042), with corresponding MODS rates of 42% and 10%, respectively, independent of age, infection focus, and the need for invasive mechanical ventilation. Mortality followed a stepwise gradient (Preserved 1.9%, Partially Compensated 12.1%, Decompensated 17.2%; p = 0.023). Internal validation analyses reproduced phenotype assignments and outcome associations, confirming their temporal stability.

conclusionsThree reproducible microvascular phenotypes in pediatric sepsis—Preserved, Partially Compensated, and Decompensated—were identified using bedside clinical, biomarker, and microcirculation data. These phenotypes represent distinct pathophysiologic and prognostic patterns, from preserved states with favorable outcomes to decompensated forms linked to higher risk of organ dysfunction and death. Early microvascular phenotyping is feasible and enhances risk stratification.

Indexed as

Machine LearningMultiple Organ FailureSepsisBiomarkersChildChild, PreschoolCohort StudiesFemaleHumansInfantMaleMicrocirculationPediatricsPhenotypePrognosisProspective StudiesBiomarkersClinical phenotypesMachine learningMicrocirculationPediatric sepsisSublingual videomicroscopy

Identifiers

PMID41645301
PMCPMC12874729

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.