ArticleIndian journal of pediatrics2019
Prediction of Shock by Peripheral Perfusion Index.
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.
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.
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.
Who cites it
8 citing papers in PubMed, 34 citations in OpenAlex.
- Effects of nitroglycerin versus labetalol on peripheral perfusion during deliberate hypotension for sinus endoscopic surgery: a randomized, controlled, double-blinded trial.BMC anesthesiology · 2020Trial
- Could Perfusion and Pleth Variability Index Be Useful in Managing Treatment and Morbidity in Patients with Gastrointestinal Bleeding?Journal of clinical medicine · 2026Article
- Novel approaches to capturing and using continuous cardiorespiratory physiological data in hospitalized children.Pediatric research · 2023Review
- Evaluation of tissue perfusion status in moderate to late preterm.Physiological research · 2022Article
- To Explore the Haemostatic Effect of Compression Haemostasis Using an Ultrasonic Probe under the Guidance of Ultrasound after Radial Artery Puncture.Disease markers · 2021Article
- Peripheral perfusion index predicting prolonged ICU stay earlier and better than lactate in surgical patients: an observational study.BMC anesthesiology · 2020Observational
- Advances in the Approaches Using Peripheral Perfusion for Monitoring Hemodynamic Status.Frontiers in medicine · 2020Review
- Peripheral Perfusion Index - Magic Wand in Prediction of Shock?Indian journal of pediatrics · 2019Article
Corrections and comments
- Commented on by
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.