Evidence map›Paper›PMID 41511618›Full record

Observational studyIndian journal of pediatrics2026

Clinical Signs of Circulatory Impairment/Shock in Children: A Prospective Observational Study.

Jhuma Sankar, Javed Ismail, Vineet Kr Kamal, Lalitha Av, Banothu Kiran Kumar, Kanika Jaravta, Pankaj Chaudhary, S K Kabra, Rakesh Lodha

Abstract readObservational Study
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In one paragraph

Observational study in Indian journal of pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jhuma SankarDivision of Pediatric Pulmonology and Intensive Care, Department of Pediatrics, All India Institute of Medical Sciences (AIIMS), New Delhi, India. jhumasankar@aiims.edu.ORCID 0000-0002-9807-6550
Javed IsmailPediatric Intensive Care Unit, NMC Royal Hospital Khalifa City, Abu Dhabi, UAE.
Vineet Kr KamalDepartment of Biostatistics, All India Institute of Medical Sciences (AIIMS), Kalyani, West Bengal, India.
Lalitha AvDepartment of Pediatrics, St. Johns Medical College and Research Institute, Bengaluru, Karnataka, India.
Banothu Kiran KumarDepartment of Pediatrics, PGIMER, Dr. Ram Manohar Lohia Hospital, New Delhi, India.
Kanika JaravtaDivision of Pediatric Pulmonology and Intensive Care, Department of Pediatrics, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
Pankaj ChaudharyDivision of Pediatric Pulmonology and Intensive Care, Department of Pediatrics, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
S K KabraDivision of Pediatric Pulmonology and Intensive Care, Department of Pediatrics, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
Rakesh LodhaDivision of Pediatric Pulmonology and Intensive Care, Department of Pediatrics, All India Institute of Medical Sciences (AIIMS), New Delhi, India.

Funding

DST EEQ/2018/000819
6 · The paper itself

Abstract

objectivesTo evaluate the diagnostic accuracy and predictive ability of various clinical signs of shock for identifying children requiring immediate intervention.

methodsThe authors conducted this prospective study (2019-2023) in children aged 2 mo to ≤ 17 y presenting to the pediatric emergency with an acute illness. Children with shock, defined by the presence of one/more clinical signs and, requirement for fluid boluses/vasoactive agents within the first hour were compared with children without shock. The primary outcome was to evaluate the diagnostic accuracy of the clinical signs; further stratified by malnutrition and severe anemia.

resultsTwo thousand five hundred seventy-nine (2,579) children were enrolled, 288 in the shock group and 2291 in the non-shock group. Feeble pulses demonstrated the best sensitivity and specificity (> 85%) with a diagnostic odds ratio of 38.8 (95% CI: 27.2, 55). Tachycardia and capillary refill time (CRT) > 2 s demonstrated sensitivity and specificity of > 70% each. In children with malnutrition and severe anemia, hypotension and coma were the strongest predictors of shock. Using Classification and Regression Tree (CART) analysis, the authors developed a model and validated it in internal and external datasets. Three primary scenarios emerged in the CART analysis, comprising of a combination of feeble pulses, tachypnea, hypotension and/or cool peripheries.

conclusionsIn children presenting with acute illness, presence of feeble pulses was the best predictor of shock followed by tachycardia and prolonged CRT. The CART model, which showed three possible scenarios, needs further validation and may be used as a bedside approach to identify patients with shock requiring interventions.

Indexed as

ShockAdolescentAnemiaChildChild, PreschoolFemaleHumansInfantMaleProspective StudiesSensitivity and SpecificityChildrenClinical signsFluid bolusImpaired circulationShock

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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.