Evidence map›Paper›PMID 34642176›Full record

ArticleBMJ health & care informatics2021

Varying association of laboratory values with reference ranges and outcomes in critically ill patients: an analysis of data from five databases in four countries across Asia, Europe and North America.

Haoran Xu, Louis Agha-Mir-Salim, Zachary O'Brien, Dora C Huang, Peiyao Li, Josep Gómez, Xiaoli Liu, Tongbo Liu, Wesley Yeung, Patrick Thoral and 4 more

Abstract read
In one paragraph

Article in BMJ health & care informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Haoran XuSchool of Medicine, Chinese PLA General Hospital, Beijing, China.
Louis Agha-Mir-SalimLaboratory for Computational Physiology, Harvard-MIT Division of Health Sciences and Technology, Cambridge, Massachusetts, USA mirsalim@mit.edu.ORCID http://orcid.org/0000-0002-2733-5084
Zachary O'BrienSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Dora C HuangDepartment of Internal Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Peiyao LiGlobal Health Drug Discovery Institute, Beijing, China.
Josep GómezDepartment of Intensive Care Medicine, Joan XXIII University Hospital in Tarragona, Tarragona, Catalunya, Spain.
Xiaoli LiuLaboratory for Computational Physiology, Harvard-MIT Division of Health Sciences and Technology, Cambridge, Massachusetts, USA.
Tongbo LiuInformation Department, Chinese PLA General Hospital, Beijing, China.
Wesley YeungLaboratory for Computational Physiology, Harvard-MIT Division of Health Sciences and Technology, Cambridge, Massachusetts, USA.
Patrick ThoralDepartment of Intensive Care Medicine, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Paul ElbersDepartment of Intensive Care Medicine, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Zhengbo ZhangMedical Innovation Research Department, Chinese PLA General Hospital, Beijing, China.
María Bodí SaeraDepartment of Intensive Care Medicine, Joan XXIII University Hospital in Tarragona, Tarragona, Catalunya, Spain.
Leo Anthony CeliLaboratory for Computational Physiology, Harvard-MIT Division of Health Sciences and Technology, Cambridge, Massachusetts, USA.ORCID http://orcid.org/0000-0001-6712-6626

Funding

Critical Care Informatics: Ethical considerations around the use and sharing of health-related dataR01EB017205 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CELI, LEO ANTHONY G, MARK, ROGER GREENWOOD · 2014 to 2021
$3.8M
NIBIB NIH HHS R01 EB017205
6 · The paper itself

Abstract

backgroundDespite wide usage across all areas of medicine, it is uncertain how useful standard reference ranges of laboratory values are for critically ill patients.

objectivesThe aim of this study is to assess the distributions of standard laboratory measurements in more than 330 selected intensive care units (ICUs) across the USA, Amsterdam, Beijing and Tarragona; compare differences and similarities across different geographical locations and evaluate how they may be associated with differences in length of stay (LOS) and mortality in the ICU.

methodsA multi-centre, retrospective, cross-sectional study of data from five databases for adult patients first admitted to an ICU between 2001 and 2019 was conducted. The included databases contained patient-level data regarding demographics, interventions, clinical outcomes and laboratory results. Kernel density estimation functions were applied to the distributions of laboratory tests, and the overlapping coefficient and Cohen standardised mean difference were used to quantify differences in these distributions.

resultsThe 259 382 patients studied across five databases in four countries showed a high degree of heterogeneity with regard to demographics, case mix, interventions and outcomes. A high level of divergence in the studied laboratory results (creatinine, haemoglobin, lactate, sodium) from the locally used reference ranges was observed, even when stratified by outcome.

conclusionStandardised reference ranges have limited relevance to ICU patients across a range of geographies. The development of context-specific reference ranges, especially as it relates to clinical outcomes like LOS and mortality, may be more useful to clinicians.

Indexed as

Clinical Laboratory TechniquesCritical IllnessOutcome Assessment, Health CareAdultAsiaCross-Sectional StudiesEuropeHumansNorth AmericaReference ValuesRetrospective Studieselectronic health recordsevidence-based medicineinformation managementmedical informatics

Identifiers

PMID34642176
PMCPMC8513264

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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.