Evidence map›Paper›PMID 31100830›Full record

ArticleInternational journal of environmental research and public health2019

Combining Heart Rate Variability with Disease Severity Score Variables for Mortality Risk Stratification in Septic Patients Presenting at the Emergency Department.

Jeremy Zhenwen Pong, Stephanie Fook-Chong, Zhi Xiong Koh, Mas'uud Ibnu Samsudin, Takashi Tagami, Calvin J Chiew, Ting Hway Wong, Andrew Fu Wah Ho, Marcus Eng Hock Ong, Nan Liu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Heart rate variability in acute pancreatitis: a narrative review.Translational gastroenterology and hepatology · 2024
    Review
  6. Article
  7. Lipopolysaccharide-induced sepsis impairs M2R-GIRK signaling in the mouse sinoatrial node.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  8. Review
  9. Article
  10. Article
  11. A narrative review of heart rate and variability in sepsis.Annals of translational medicine · 2020
    Review
  12. Review
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.

Jeremy Zhenwen PongDuke-NUS Medical School, National University of Singapore, Singapore 169857, Singapore. jeremypong@u.duke.nus.edu.ORCID 0000-0001-6011-0584
Stephanie Fook-ChongHealth Services Research Unit, Singapore General Hospital, Singapore 169608, Singapore. stephanie.fook.m.c@sgh.com.sg.
Zhi Xiong KohDepartment of Emergency Medicine, Singapore General Hospital, Singapore 169608, Singapore. koh.zhixiong@singhealth.com.sg.
Mas'uud Ibnu SamsudinGeneral Medicine, Ministry of Health Holdings, Singapore 099253, Singapore. masuud.ibnusamsudin@mohh.com.sg.
Takashi TagamiDepartment of Emergency and Critical Care Medicine, Nippon Medical School Tama Nagayama Hospital, Tokyo 206-8512, Japan. t-tagami@nms.ac.jp.
Calvin J ChiewPreventive Medicine Residency Program, National University Health System, Singapore 119228, Singapore. calvin.chiew@mohh.com.sg.ORCID 0000-0002-8217-7971
Ting Hway WongDepartment of General Surgery, Singapore General Hospital, Singapore 169608, Singapore. wong.ting.hway@singhealth.com.sg.
Andrew Fu Wah HoDepartment of Emergency Medicine, Singapore General Hospital, Singapore 169608, Singapore. andrew.ho@mohh.com.sg.ORCID 0000-0003-4338-3876
Marcus Eng Hock OngDuke-NUS Medical School, National University of Singapore, Singapore 169857, Singapore. marcus.ong.e.h@singhealth.com.sg.
Nan LiuDuke-NUS Medical School, National University of Singapore, Singapore 169857, Singapore. liu.nan@duke-nus.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergency department (ED) serves as the first point of hospital contact for many septic patients, where risk-stratification would be invaluable. We devised a combination model incorporating demographic, clinical, and heart rate variability (HRV) parameters, alongside individual variables of the Sequential Organ Failure Assessment (SOFA), Acute Physiology and Chronic Health Evaluation II (APACHE II), and Mortality in Emergency Department Sepsis (MEDS) scores for mortality risk-stratification. ED patients fulfilling systemic inflammatory response syndrome criteria were recruited. National Early Warning Score (NEWS), Modified Early Warning Score (MEWS), quick SOFA (qSOFA), SOFA, APACHE II, and MEDS scores were calculated. For the prediction of 30-day in-hospital mortality, combination model performed with an area under the receiver operating characteristic curve of 0.91 (95% confidence interval (CI): 0.88-0.95), outperforming NEWS (0.70, 95% CI: 0.63-0.77), MEWS (0.61, 95% CI 0.53-0.69), qSOFA (0.70, 95% CI 0.63-0.77), SOFA (0.74, 95% CI: 0.67-0.80), APACHE II (0.76, 95% CI: 0.69-0.82), and MEDS scores (0.86, 95% CI: 0.81-0.90). The combination model had an optimal sensitivity and specificity of 91.4% (95% CI: 81.6-96.5%) and 77.9% (95% CI: 72.6-82.4%), respectively. A combination model incorporating clinical, HRV, and disease severity score variables showed superior predictive ability for the mortality risk-stratification of septic patients presenting at the ED.

Indexed as

Emergency Service, HospitalHeart RateSeverity of Illness IndexAgedAPACHEFemaleHospital MortalityHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentROC CurveSensitivity and SpecificitySepsisemergency departmentheart rate variabilitymortalitypredictionsepsis

Identifiers

PMID31100830
PMCPMC6571945

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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.