Evidence map›Paper›PMID 30202020›Full record

Observational studyScientific reports2018

Routine use of HbA1c amongst inpatients hospitalised with decompensated heart failure and the association of dysglycaemia with outcomes.

K Khoo, J Lew, P Neef, L Kearney, L Churilov, R Robbins, A Tan, M Hachem, L Owen-Jones, Q Lam and 9 more

Open access · goldAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Scientific reports, 2018. 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
0.5field-weighted citation impact, top 31% 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, 6 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

19 authors at 3 institutions in 1 country.

K KhooDepartment of Endocrinology, Austin Health, Heidelberg, 3084, Victoria, Australia.
J LewDepartment of Endocrinology, Austin Health, Heidelberg, 3084, Victoria, Australia.
P NeefDepartment of General Medicine, Austin Health, Heidelberg, 3084, Victoria, Australia.
L KearneyDepartment of Cardiology, Austin Health, Heidelberg, 3084, Victoria, Australia.
L ChurilovThe Florey Institute of Neuroscience and Mental Health, Heidelberg, 3084, Victoria, Australia.
R RobbinsDepartment of Strategy, Quality & Service Redesign, Austin Health, Heidelberg, 3084, Victoria, Australia.
A TanDepartment of Endocrinology, Austin Health, Heidelberg, 3084, Victoria, Australia.
M HachemDepartment of Medicine, Austin Health, The University of Melbourne, Heidelberg, 3084, Victoria, Australia.
L Owen-JonesAustin Centre for Applied Clinical Informatics, Austin Health, Heidelberg, 3084, Victoria, Australia.
Q LamDepartment of Pathology, Austin Health, Heidelberg, 3084, Victoria, Australia.
G K HartDepartment of Intensive Care, Austin Health, Heidelberg, 3084, Victoria, Australia.
A WilsonDepartment of Medicine, Austin Health, The University of Melbourne, Heidelberg, 3084, Victoria, Australia.
P SumithranDepartment of Endocrinology, Austin Health, Heidelberg, 3084, Victoria, Australia.
D JohnsonDepartment of General Medicine, Austin Health, Heidelberg, 3084, Victoria, Australia.
P M SrivastavaDepartment of Medicine, Austin Health, The University of Melbourne, Heidelberg, 3084, Victoria, Australia.
O FarouqueDepartment of Medicine, Austin Health, The University of Melbourne, Heidelberg, 3084, Victoria, Australia.
L M BurrellDepartment of Medicine, Austin Health, The University of Melbourne, Heidelberg, 3084, Victoria, Australia.ORCID 0000-0003-1863-7539
J D ZajacDepartment of Endocrinology, Austin Health, Heidelberg, 3084, Victoria, Australia.
E I EkinciDepartment of Endocrinology, Austin Health, Heidelberg, 3084, Victoria, Australia. elif.ekinci@unimelb.edu.au.
The University of Melbourne · AUAustin Health · AUFlorey Institute of Neuroscience and Mental Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes is an independent risk factor for development of heart failure and has been associated with poor outcomes in these patients. The prevalence of diabetes continues to rise. Using routine HbA1c measurements on inpatients at a tertiary hospital, we aimed to investigate the prevalence of diabetes amongst patients hospitalised with decompensated heart failure and the association of dysglycaemia with hospital outcomes and mortality. 1191 heart failure admissions were identified and of these, 49% had diabetes (HbA1c ≥ 6.5%) and 34% had pre-diabetes (HbA1c 5.7-6.4%). Using a multivariable analysis adjusting for age, Charlson comorbidity score (excluding diabetes and age) and estimated glomerular filtration rate, diabetes was not associated with length of stay (LOS), Intensive Care Unit (ICU) admission or 28-day readmission. However, diabetes was associated with a lower risk of 6-month mortality. This finding was also supported using HbA1c as a continuous variable. The diabetes group were more likely to have diastolic dysfunction and to be on evidence-based cardiac medications. These observational data are hypothesis generating and possible explanations include that more diabetic patients were on medications that have proven mortality benefit or prevent cardiac remodelling, such as renin-angiotensin system antagonists, which may modulate the severity of heart failure and its consequences.

Indexed as

AgedAged, 80 and overAngiotensin-Converting Enzyme InhibitorsDiabetes MellitusFemaleGlycated HemoglobinHeart FailureHumansInpatientsLength of StayMalePatient ReadmissionPrevalenceRisk FactorsSeverity of Illness IndexSurvival AnalysisAngiotensin-Converting Enzyme InhibitorsGlycated Hemoglobin

Identifiers

PMID30202020
PMCPMC6131544
OpenAlexW2890268650

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.