Evidence map›Paper›PMID 37510865›Full record

ArticleJournal of clinical medicine2023

The Association between Emergency Department Length of Stay and In-Hospital Mortality in Older Patients Using Machine Learning: An Observational Cohort Study.

Lijuan Wu, Xuanhui Chen, Anna Khalemsky, Deyang Li, Taoufik Zoubeidi, Dominique Lauque, Mohammed Alsabri, Zoubir Boudi, Vijaya Arun Kumar, James Paxton and 22 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Article
  6. Review
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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

32 authors.

Lijuan WuInstitute of Sciences in Emergency Medicine, Department of Emergency Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China.ORCID 0000-0002-0390-1782
Xuanhui ChenMedical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China.ORCID 0000-0002-4134-7057
Anna KhalemskyManagement Department, Hadassah Academic College, Jerusalem 91010, Israel.ORCID 0000-0002-0817-6575
Deyang LiInstitute of Sciences in Emergency Medicine, Department of Emergency Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China.
Taoufik ZoubeidiDepartment of Statistics, College of Business and Economics, UAE University, Al Ain 1555, United Arab Emirates.
Dominique LauqueDepartment of Emergency of Medicine, Beth Israel Deaconess Medical Center, Teaching Hospital of Harvard Medical School, Boston, MA 02115, USA.
Mohammed AlsabriDepartment of Emergency of Medicine, Beth Israel Deaconess Medical Center, Teaching Hospital of Harvard Medical School, Boston, MA 02115, USA.
Zoubir BoudiDepartment of Emergency Medicine, Dr Sulaiman Alhabib Hospital, Dubai 2542, United Arab Emirates.
Vijaya Arun KumarDepartment of Emergency Medicine, Wayne State University School of Medicine, Detroit, MI 48201, USA.
James PaxtonDepartment of Emergency Medicine, Wayne State University School of Medicine, Detroit, MI 48201, USA.
Dionyssios TsilimingrasDepartment of Family Medicine & Public Health Sciences, Wayne State University School of Medicine, Detroit, MI 48201, USA.
Lisa KurlandDepartment of Medical Sciences, Örebro University, 70182 Örebro, Sweden.
David SchwartzInformation Systems Department, Graduate School of Business Administration, Bar-Ilan University, Ramat-Gan 529002, Israel.ORCID 0000-0002-2125-2069
Said Hachimi-IdrissiGlobal Network on Emergency Medicine, Brookline, MA 02446, USA.ORCID 0000-0002-8455-1410
Carlos A CamargoDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.ORCID 0000-0002-5071-7654
Shan W LiuDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Gabriele SavioliEmergency Department, IRCCS Fondazione Policlinico San Matteo, 27100 Pavia, Italy.ORCID 0000-0002-8679-5435
Geroge IntasDepartment of Critical Care, General Hospital of Nikaia Agios Panteleimon, 18454 Athens, Greece.ORCID 0000-0001-7430-7724
Kapil Dev SoniJai Prakash Narayan Apex Trauma Center, Ring Road, New Delhi 110029, India.ORCID 0000-0003-1214-4119
Detajin JunhasavasdikulDepartment of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand.ORCID 0000-0002-0300-407X
Jose Javier Trujillano CabelloIntensive Care Unit, Hospital Universitari Arnau de Vilanova, 25198 Lleida, Spain.
Niels K RathlevDepartment of Emergency Medicine, University of Massachusetts Medical School, Baystate, Springfield, MA 01199, USA.
Karim TazarourteDepartment of Health Quality, University Hospital, Hospices Civils, 69002 Lyon, France.
Anna SlagmanDivision of Emergency and Acute Medicine, Campus Virchow Klinikum and Charité Campus Mitte, Charité Universitätsmedizin, 10117 Berlin, Germany.ORCID 0000-0003-2608-0347
Michael ChristDepartment of Emergency Medicine, 6000 Lucerne, Switzerland.
Adam J SingerDepartment of Emergency Medicine, Renaissance Scholl of Medicine at Stony Brook University, Stony Brook, NY 11794, USA.
Eddy LangDepartment of Emergency Medicine, Emergency Medicine Cumming School of Medicine, University of Calgary, Alberta Health Services, Calgary, AB T2N 1N4, Canada.
Giovanni RicevutiEmergency Medicine, School of Pharmacy, University of Pavia, 27100 Pavia, Italy.
Xin LiDepartment of Emergency Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China.
Huiying LiangMedical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China.
Shamai A GrossmanDepartment of Emergency of Medicine, Beth Israel Deaconess Medical Center, Teaching Hospital of Harvard Medical School, Boston, MA 02115, USA.
Abdelouahab BellouInstitute of Sciences in Emergency Medicine, Department of Emergency Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China.ORCID 0000-0003-3457-5585

Funding

Guangzhou Basic and Applied Basic Research Project 202102020863National Natural Science Foundation of China 61802149
6 · The paper itself

Abstract

The association between emergency department (ED) length of stay (EDLOS) with in-hospital mortality (IHM) in older patients remains unclear. This retrospective study aims to delineate the relationship between EDLOS and IHM in elderly patients. From the ED patients (n = 383,586) who visited an urban academic tertiary care medical center from January 2010 to December 2016, 78,478 older patients (age ≥60 years) were identified and stratified into three age subgroups: 60-74 (early elderly), 75-89 (late elderly), and ≥90 years (longevous elderly). We applied multiple machine learning approaches to identify the risk correlation trends between EDLOS and IHM, as well as boarding time (BT) and IHM. The incidence of IHM increased with age: 60-74 (2.7%), 75-89 (4.5%), and ≥90 years (6.3%). The best area under the receiver operating characteristic curve was obtained by Light Gradient Boosting Machine model for age groups 60-74, 75-89, and ≥90 years, which were 0.892 (95% CI, 0.870-0.916), 0.886 (95% CI, 0.861-0.911), and 0.838 (95% CI, 0.782-0.887), respectively. Our study showed that EDLOS and BT were statistically correlated with IHM (

Indexed as

boarding timeemergency departmentin-hospital mortalitylength of staymachine learningolder adults

Identifiers

PMID37510865
PMCPMC10381297

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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.