Evidence map›Paper›PMID 33509242›Full record

Observational studyScandinavian journal of trauma, resuscitation and emergency medicine2021

Early hemodynamic assessment using NICOM in patients at risk of developing Sepsis immediately after emergency department triage.

Steve B Chukwulebe, David F Gaieski, Abhishek Bhardwaj, Lakeisha Mulugeta-Gordon, Frances S Shofer, Anthony J Dean

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Scandinavian journal of trauma, resuscitation and emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. 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

6 authors at 5 institutions in 1 country.

Steve B ChukwulebeDepartment of Emergency Medicine, Advocate Sherman Hospital, Elgin, IL, USA.
David F GaieskiDepartment of Emergency Medicine, Sidney Kimmel Medical College at Thomas Jefferson University, 1025 Walnut Street; 300 College Building, 19107, Philadelphia, PA, USA. david.gaieski@jefferson.edu.
Abhishek BhardwajDepartment of Internal Medicine, Division of Pulmonary and Critical Care Medicine, Cleveland Clinic, Cleveland, OH, USA.
Lakeisha Mulugeta-GordonDepartment of Obstetrics and Gynecology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Frances S ShoferDepartment of Emergency Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Anthony J DeanDepartment of Emergency Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
University of Pennsylvania · USCleveland Clinic · USHospital of the University of Pennsylvania · USSherman Hospital · USThomas Jefferson University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne factor leading to the high mortality rate seen in sepsis is the subtle, dynamic nature of the disease, which can lead to delayed detection and under-resuscitation. This study investigated whether serial hemodynamic parameters obtained from a non-invasive cardiac output monitor (NICOM) predicts disease severity in patients at risk for sepsis.

methodsProspective clinical trial of the NICOM device in a convenience sample of adult ED patients at risk for sepsis who did not have obvious organ dysfunction at the time of triage. Hemodynamic data were collected immediately following triage and 2 hours after initial measurement and compared in two outcome groupings: (1) admitted vs. dehydrated, febrile, hypovolemicdischarged patients; (2) infectious vs. non-infectious sources. Receiver operator characteristic (ROC) curves were calculated to determine whether the NICOM values predict hospital admission better than a serum lactate.

results50 patients were enrolled, 32 (64 %) were admitted to the hospital. Mean age was 49.5 (± 16.5) years and 62 % were female. There were no significant associations between changes in hemodynamic variables and patient disposition from the ED or diagnosis of infection. Lactate was significantly higher in admitted patients and those with infection (p = 0.01, p = 0.01 respectively). The area under the ROC [95 % Confidence Intervals] for lactate was 0.83 [0.64-0.92] compared to 0.59 [0.41-0.73] for cardiac output (CO), 0.68 [0.49-0.80] for cardiac index (CI), and 0.63 [0.36-0.80] for heart rate (HR) for predicting hospital admission.

conclusionsCO and CI, obtained at two separate time points, do not help with early disease severity differentiation of patients at risk for severe sepsis. Although mean HR was higher in those patients who were admitted, a serum lactate still served as a better predictor of patient admission from the ED.

Indexed as

Cardiac OutputMonitoring, PhysiologicRisk AssessmentAdultAgedEmergency Service, HospitalFemaleHeart RateHumansLactic AcidMaleMiddle AgedProspective StudiesSampling StudiesSepsisTriageLactic AcidCardiac indexCardiac outputHeart rateLactateNoninvasive monitoringSevere sepsis

Identifiers

PMID33509242
PMCPMC7842048
OpenAlexW3125148218

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.