Evidence map›Paper›PMID 41469070›Full record

Observational studyBMJ open2025

The use of the raw pulse/breathing rate ratio (PBR) as a predictor of mortality and criticality in the emergency department: a retrospective study.

Tongyan Zhang, Xin Yang, Sha Luo, Yanyan Ren, Yan Li, Yazhu Hou, Yajun Du, Yue Xi, Zheyi Dong, Xiumei Gao

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Tongyan ZhangSecond Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China zhangtongyan610@126.com.ORCID http://orcid.org/0000-0001-7426-690X
Xin YangSecond Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Sha LuoDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Medical Devices and Integrated Traditional Chinese and Western Drug Development for Severe Kidney Diseases, Beijing Key Laboratory of Digital Intelligent TCM for the Prevention and Treatment of Panvascular Diseases, Key Disciplines of National Administration of Traditional Chinese Medicine, Beijing, Beijing, China.
Yanyan RenSecond Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Yan LiSecond Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Yazhu HouDepartment of Cardiovascular Diseases, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China.
Yajun DuTEDA International Cardiovascular Hospital, Tianjin, China.
Yue XiDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Medical Devices and Integrated Traditional Chinese and Western Drug Development for Severe Kidney Diseases, Beijing Key Laboratory of Digital Intelligent TCM for the Prevention and Treatment of Panvascular Diseases, Key Disciplines of National Administration of Traditional Chinese Medicine, Beijing, Beijing, China.
Zheyi DongDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Medical Devices and Integrated Traditional Chinese and Western Drug Development for Severe Kidney Diseases, Beijing Key Laboratory of Digital Intelligent TCM for the Prevention and Treatment of Panvascular Diseases, Key Disciplines of National Administration of Traditional Chinese Medicine, Beijing, Beijing, China.
Xiumei GaoTianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore the relationships between the pulse/breathing rate ratio (PBR) and the risk of death and critical illness.

designThis was a retrospective observational study.

settingThis was a single-centre study from a tertiary hospital in Tianjin, China.

participantsThe study population consisted of patients aged ≥16 years who underwent consultation and were monitored for medical purposes at the clinic.

interventionsBetween April 2021 and December 2021. Before the patients received any medical intervention, vital signs were measured, and the PBR and the National Early Warning Score (NEWS) were calculated on the basis of the above measured indicators. PRIMARY AND SECONDARY OUTCOME MEASURES: The associations of PBRs with death and critical illness were evaluated.

resultsA total of 1048 outpatients with fever were included. Restricted cubic spline (RCS) bars were used to explore potential nonlinear associations between PBR and mortality and critical illness. The abilities of the PBR and NEWS to predict the risk of death and critical illness were compared through decision curve analysis (DCA). The RCS showed a U-shaped nonlinear distribution of associations between PBRs and death and critical illness (nonlinear p values of p=0.036 and p=0.005, respectively). The risk of mortality was lowest between 4.6 and 6.2 for PBR, with the risk of mortality increasing progressively with decreasing PBR for PBR<4.6, and the risk of mortality increasing progressively with increasing PBR for PBR>6.2. The risk of critical illness was lowest when the PBR was between 4.6 and 5.5, and the risk increased gradually with decreasing PBR for PBR<4.6 and with increasing PBR for PBR>5.5. The DCA results revealed that the value of the PBR in predicting death was similar to that of the NEWS. In the DCA, the net benefit achieved by the NEWS ranged from 3% to 10% threshold probability, and the net benefit achieved by the PBR ranged from 4% to 10% threshold probability, with similar net benefits for the NEWS and PBR and 1% for both the PBR and the NEWS when the threshold probability was 7% (equivalent to correctly identifying 10 mortalities per 100 patients).

conclusionsThe PBR helps to predict the risk of mortality and critical illness in acutely ill patients, and its value in predicting mortality is similar to that of the NEWS.

Indexed as

Critical IllnessEmergency Service, HospitalHeart RateHospital MortalityRespiratory RateAdultAgedChinaEarly Warning ScoreFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentMortalityPhysical ExaminationRisk Assessment

Identifiers

PMID41469070
PMCPMC12750748

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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.