Evidence map›Paper›PMID 26485651›Full record

ArticlePloS one2015

Pulse Oximetry: A Non-Invasive, Novel Marker for the Quality of Chest Compressions in Porcine Models of Cardiac Arrest.

Jun Xu, Chen Li, Liangliang Zheng, Fei Han, Yan Li, Joseph Walline, Yangyang Fu, Dongqi Yao, Xiaocui Zhang, Hui Zhang and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 7 institutions in 2 countries.

Jun XuEmergency Department, Peking Union Medical College Hospital, Chinese Academy of Medical sciences, Beijing, China.
Chen LiEmergency Department, Tianjin Medical University General Hospital, Tianjin, China.
Liangliang ZhengEmergency Department, Beijing Hospital, Beijing, China.
Fei HanInstitute of Life Monitoring, Mindray Corporation, Shenzhen, China.
Yan LiEmergency Department, Peking Union Medical College Hospital, Chinese Academy of Medical sciences, Beijing, China.
Joseph WallineDivision of Emergency Medicine, Department of Surgery, Saint Louis University Hospital, Saint Louis, Missouri, United States of America.
Yangyang FuEmergency Department, Peking Union Medical College Hospital, Chinese Academy of Medical sciences, Beijing, China.
Dongqi YaoEmergency Department, Peking Union Medical College Hospital, Chinese Academy of Medical sciences, Beijing, China.
Xiaocui ZhangInstitute of Life Monitoring, Mindray Corporation, Shenzhen, China.
Hui ZhangEmergency Department, Peking Union Medical College Hospital, Chinese Academy of Medical sciences, Beijing, China.
Huadong ZhuEmergency Department, Peking Union Medical College Hospital, Chinese Academy of Medical sciences, Beijing, China.
Shubin GuoEmergency Department, Peking Union Medical College Hospital, Chinese Academy of Medical sciences, Beijing, China.
Zhong WangEmergency Department, Beijing Tsinghua Chang Gung Hospital, Beijing, China.
Xuezhong YuEmergency Department, Peking Union Medical College Hospital, Chinese Academy of Medical sciences, Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNMindray (China) · CNBeijing Hospital · CNBeijing Tsinghua Chang Gung Hospital · CNPeking Union Medical College Hospital · CNSaint Louis University Hospital · USTianjin Medical University General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePulse oximetry, which noninvasively detects the blood flow of peripheral tissue, has achieved widespread clinical use. We have noticed that the better the quality of cardiopulmonary resuscitation (CPR), the better the appearance of pulse oximetry plethysmographic waveform (POP). We investigated whether the area under the curve (AUC) and/or the amplitude (Amp) of POP could be used to monitor the quality of CPR.

designProspective, randomized controlled study.

settingAnimal experimental center in Peking Union Medical Collage Hospital, Beijing, China. SUBJECTS: Healthy 3-month-old male domestic swine.

interventions34 local pigs were enrolled in this study. After 4 minutes of untreated ventricular fibrillation, animals were randomly assigned into two resuscitation groups: a "low quality" group (with a compression depth of 3cm) and a "high quality" group (with a depth of 5cm). All treatments between the two groups were identical except for the depth of chest compressions. Hemodynamic parameters [coronary perfusion pressure (CPP), partial pressure of end-tidal carbon dioxide (PETCO2)] as well as AUC and Amp of POP were all collected and analyzed. MEASUREMENTS AND

findingsThere were statistical differences between the "high quality" group and the "low quality" group in AUC, Amp, CPP and PETCO2 during CPR (P<0.05). AUC, Amp and CPP were positively correlated with PETCO2, respectively (P<0.01). There was no statistical difference between the heart rate calculated according to the POP (FCPR) and the frequency of mechanical CPR at the 3rd minute of CPR. The FCPR was lower than the frequency of mechanical CPR at the 6th and the 9th minute of CPR.

conclusionsBoth the AUC and Amp of POP correlated well with CPP and PETCO2 in animal models. The frequency of POP closely matched the CPR heart rate. AUC and Amp of POP might be potential noninvasive quality monitoring markers for CPR.

Indexed as

AnimalsCardiopulmonary ResuscitationDisease Models, AnimalHeart ArrestMaleMonitoring, PhysiologicOximetryProspective StudiesSwineVentricular Fibrillation

Identifiers

PMID26485651
PMCPMC4613139
OpenAlexW2132179438

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.