Evidence map›Paper›PMID 31197646›Full record

ArticleIndian journal of pediatrics2019

Prediction of Shock by Peripheral Perfusion Index.

P Sivaprasath, Raja Mookka Gounder, B Mythili

Abstract read
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Article in Indian journal of pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
5.1field-weighted citation impact, top 4% of its field
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

8 citing papers in PubMed, 34 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

P SivaprasathDepartment of Pediatrics, MGM Government Hospital, KAPV Government Medical College, Thiruchirapalli, Tamil Nadu, 620 001, India.
Raja Mookka GounderDepartment of Pediatrics, MGM Government Hospital, KAPV Government Medical College, Thiruchirapalli, Tamil Nadu, 620 001, India. dr.raja23481@gmail.com.ORCID http://orcid.org/0000-0001-6359-9792
B MythiliDepartment of Pediatrics, MGM Government Hospital, KAPV Government Medical College, Thiruchirapalli, Tamil Nadu, 620 001, India.
Government Medical College · INGovernment Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo detect occurrence of clinical shock and impending shock by monitoring Peripheral Perfusion Index (PI).

methodsIn this study, 100 children aged 1 mo to 12 y of age who needed hemodynamic monitoring were included and categorized into five age groups. Demographic data, nutritional status, vital parameters, perfusion index and laboratory parameters were recorded. Hemodynamic monitoring was done for 48 h. In total, 65 and 35 children were admitted with and without features of shock respectively. Nine hundred thirty six hemodynamic measurements were taken and analyzed. Correlation between perfusion index, blood pressures and clinically assessed shock were done.

resultsClinical shock can be reasonably detected when perfusion index value is less than 1.15 in children less than 3 y of age, less than 1.25 in 3 to 10 y of age and less than 1.55 in 10 to 12 y of age. These values had high sensitivity and low false positivity in detecting clinically assessed shock in that particular age group. PI had good correlation with pulse pressure and systolic blood pressure in all age groups and weak correlation with mean arterial blood pressure and diastolic blood pressure. A 57% reduction in PI value from the baseline value may predict impending shock in children.

conclusionPerfusion index can be used as a non-invasive, continuous parameter to monitor peripheral perfusion in children and to detect impending shock.

Indexed as

Age FactorsArterial PressureBlood PressureChildChild, PreschoolFemaleHemodynamicsHumansInfantMaleMonitoring, PhysiologicPerfusion IndexShockClinical shockPerfusion indexPulse oxymeter

Identifiers

PMID31197646
OpenAlexW2887701485

What OpenQuestion holds

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Registered trials

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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.