Evidence map›Paper›PMID 29561389›Full record

ArticleShock (Augusta, Ga.)2019

A Novel Implementation of Magnetic Levitation to Quantify Leukocyte Size, Morphology, and Magnetic Properties to Identify Patients With Sepsis.

Mikkel S Andersen, Shulin Lu, Gregory J Lopez, Annmarie T Lassen, Nathan I Shapiro, Ionita C Ghiran

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Shock (Augusta, Ga.), 2019. 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
0.8field-weighted citation impact, top 30% 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

0 citing papers in PubMed, 11 citations in OpenAlex.

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

6 authors at 4 institutions in 2 countries.

Mikkel S AndersenDepartment of Emergency Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Shulin LuDepartment of Emergency Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Gregory J LopezDepartment of Emergency Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Annmarie T LassenDepartment of Emergency Medicine, Odense University Hospital, University of Southern Denmark, Odense, Denmark.
Nathan I ShapiroDepartment of Emergency Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Ionita C GhiranDepartment of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Beth Israel Deaconess Medical Center · USHarvard University · USOdense University Hospital · DKUniversity of Southern Denmark · DK

Funding

Impact of circadian rhythm in obtaining reference profiles of exRNAs in healthy iU01HL126497 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI GHIRAN, IONITA CALIN · 2014 to 2018
$3.3M
Modulation of erythrocyte function by complementR01HL096795 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI GHIRAN, IONITA CALIN · 2011 to 2014
$1.7M
Malaria screening in resource-poor settings using a simple, power-free, cell phone-friendly deviceR21TW009915 · FIC · BETH ISRAEL DEACONESS MEDICAL CENTER · PI GHIRAN, IONITA CALIN · 2014 to 2015
$435k
FIC NIH HHS R21 TW009915NHLBI NIH HHS R01 HL096795NHLBI NIH HHS U01 HL126497
6 · The paper itself

Abstract

backgroundWe have developed a novel, easily implementable methodology using magnetic levitation to quantify circulating leukocyte size, morphology, and magnetic properties, which may help in rapid, bedside screening for sepsis.

objectiveOur objectives were to describe our methodological approach to leukocyte assessment, and to perform a pilot investigation to test the ability of magnetic levitation to identify and quantify changes in leukocyte size, shape, density, and/or paramagnetic properties in healthy controls and septic patients.

methodsThis prospective, observational cohort study was performed in a 56,000/y visit emergency department (ED) and affiliated outpatient phlebotomy laboratory. Inclusion criteria were admittance to the hospital with suspected or confirmed infection for the septic group, and we enrolled the controls from ED/outpatient patients without infection or acute illness. The bench-top experiments were performed using magnetic levitation to visualize the leukocytes. We primary sought to compare septic patients with noninfected controls and secondary to assess the association with sepsis severity. Our covariates were area, length, width, roundness, and standard deviation (SD) of levitation height. We used unpaired t test and area under the curve (AUC) for the assessment of accuracy in distinguishing between septic and control patients.

resultsWe enrolled 39 noninfected controls and 22 septic patients. Our analyses of septic patients compared with controls showed: mean cell area in pixels (px) 562 ± 111 vs. 410 ± 45, P < 0.0001, AUC = 0.89 (0.80-0.98); length (px), 29 ± 2.5 vs. 25 ± 1.9, P < 0.0001, AUC = 0.90 (0.83-0.98); and width (px), 27 ± 2.4 vs. 23 ± 1.5, P < 0.0001, AUC = 0.92 (0.84-0.99). Cell roundness: 2.1 ± 1.0 vs. 2.2 ± 1.2, P = 0.8, AUC = 0.51. SD of the levitation height (px) was 72 ± 25 vs. 47 ± 16, P < 0.001, AUC = 0.80 (0.67-0.93).

conclusionsSeptic patients had circulating leukocytes with especially increased size parameters, which distinguished sepsis from noninfected patients with promising high accuracy. This portal-device compatible technology shows promise as a potential bedside diagnostic.

Indexed as

Cell SizeEmergency Service, HospitalLeukocytesMagnetic FieldsShock, SepticAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedProspective Studies

Identifiers

PMID29561389
PMCPMC6148435
OpenAlexW2802052507

What OpenQuestion holds

Textmetadata
LicenceTDM
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.