Evidence map›Paper›PMID 32995188›Full record

ArticleJournal of acute medicine2017

Comparison of Quick Sequential Organ Failure Assessment and Modified Systemic Inflammatory Response Syndrome Criteria in a Lower Middle Income Setting.

Abi Beane, Ambepitiyawaduge Pubudu De Silva, Sithum Munasinghe, Nirodha De Silva, Sujeewa Jayasinghe Arachchige, Priyantha Athapattu, Ponsuge Chathurani Sigera, Muhammed Faisal Miskin, Pramod Madushanka Liyanagama, Rathnayake Mudiyanselage Dhanapala Rathnayake and 3 more

Open access · greenAbstract read
In one paragraph

Article in Journal of acute medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Observational
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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

13 authors at 5 institutions in 2 countries.

Abi BeaneNetwork for Improving Critical Care Systems and Training Colombo Sri Lanka.
Ambepitiyawaduge Pubudu De SilvaMinistry of Health National Intensive Care Surveillance Colombo Sri Lanka.
Sithum MunasingheNetwork for Improving Critical Care Systems and Training Colombo Sri Lanka.
Nirodha De SilvaDistrict General Hospital Monaragala Sri Lanka.
Sujeewa Jayasinghe ArachchigeDistrict General Hospital Monaragala Sri Lanka.
Priyantha AthapattuMinistry of Health Department of Medical Services Colombo Sri Lanka.
Ponsuge Chathurani SigeraNetwork for Improving Critical Care Systems and Training Colombo Sri Lanka.
Muhammed Faisal MiskinNetwork for Improving Critical Care Systems and Training Colombo Sri Lanka.
Pramod Madushanka LiyanagamaNetwork for Improving Critical Care Systems and Training Colombo Sri Lanka.
Rathnayake Mudiyanselage Dhanapala RathnayakeDistrict General Hospital Monaragala Sri Lanka.
Kosala Saroj Amarasiri JayasingheFaculty of Medicine Department of Clinical Medicine Colombo Sri Lanka.
Arjen M DondorpMahidol Oxford Tropical Research Unit Bangkok Thailand.
Rashan HaniffaNetwork for Improving Critical Care Systems and Training Colombo Sri Lanka.
University of Colombo · LKMinistry of Health, Nutrition and Indigenous Medicine · LKNational Hospital of Sri Lanka · LKMahidol Oxford Tropical Medicine Research Unit · THMedical Research Institute · LK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionQuick Sequential Organ Failure Assessment (qSOFA) is potentially feasible tool to identify risk of deteriorating in the context of infection for to use in resource limited settings. PURPOSE: To compare the discriminative ability of qSOFA and a simplified systemic inflammatory response syndrome (SIRS) score to detect deterioration in patients admitted with infection.

methodsObservational study conducted at District General Hospital Monaragala, Sri Lanka, utilising bedside available observations extracted from healthcare records. Discrimination was evaluated using area under the receiver operating curve (AUROC). 15,577 consecutive adult ( ≥ 18 years) admissions were considered. Patients classifi ed as having infection per ICD-10 diagnostic coding were included.

resultsBoth scores were evaluated for their ability to discriminate patients at risk of death or a composite adverse outcome (death, cardiac arrest, intensive care unit [ICU], admission or critical care transfer). 1844 admissions (11.8%) were due to infections with 20 deaths (1.1%), 29 ICU admissions (1.6%), 30 cardiac arrests and 9 clinical transfers to a tertiary hospital (0.5%). Sixty-seven (3.6%) patients experienced at least one event. Complete datasets were available for qSOFA in 1238 (67.14%) and for simplified SIRS (mSIRS) in 1628 (88.29%) admissions. Mean (SD) qSOFA score and mSIRS score at admission were 0.58 (0.69) and 0.66 (0.79) respectively. Both demonstrated poor discrimination for predicting adverse outcome AUROC = 0.625; 95% CI, 0.56-0.69 and AUROC = 0.615; 95% CI, 0.55-0.69 respectively) with no significant difference (p value = 0.74). Similarly, both systems had poor discrimination for predicting deaths (AUROC = 0.685; 95% CI, 0.55-0.82 and AUROC = 0.629; 95% CI, 0.50-0.76 respectively) with no statistically signifi cant difference (p value = 0.31).

conclusionsqSOFA at admission had poor discrimination and was not superior to the bedside observations featured in SIRS. Availability of observations, especially for mentation, is poor in these settings and requires strategies to improve reporting.

Indexed as

critical carecritical care outcomesinfectionobservationsystemic inflammatory response syndrome

Identifiers

PMID32995188
PMCPMC7517879
OpenAlexW2966540296

What OpenQuestion holds

Textmetadata
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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.