Evidence map›Paper›PMID 35577401›Full record

ArticleBMJ open quality2022

Reducing hyperglycaemia post-kidney and liver transplant: a quality improvement initiative.

Kristin K Clemens, Mayur Brahmania, Corrine Weernink, Khaled Lofty, Hani Rjoob, Amanda Berberich, Alan Gob

Open access · goldAbstract read
In one paragraph

Article in BMJ open quality, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
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

7 authors at 2 institutions in 1 country.

Kristin K ClemensDepartment of Medicine, Division of Endocrinology and Metabolism, Western University, London, Ontario, Canada kristin.clemens@sjhc.london.on.ca.ORCID 0000-0001-9636-5597
Mayur BrahmaniaCenter for Quality, Innovation and Safety, Western University, London, Ontario, Canada.
Corrine WeerninkLondon Health Sciences Centre, London, Ontario, Canada.
Khaled LoftyCenter for Quality, Innovation and Safety, Western University, London, Ontario, Canada.
Hani RjoobSchulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Amanda BerberichDepartment of Medicine, Division of Endocrinology and Metabolism, Western University, London, Ontario, Canada.
Alan GobCenter for Quality, Innovation and Safety, Western University, London, Ontario, Canada.
Western University · CALondon Health Sciences Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn-hospital glycaemic management can reduce post-transplant morbidity, but is not always part of transplant care.

objectiveWe aimed to reduce the mean number of postoperative days in hyperglycaemia (≥2 blood glucose >12 mmol/L in 24 hours) in kidney and liver transplant recipients by 30%. We also aimed to reduce the mean number of days between transplant admission to endocrine consult by 2.0 days. DESIGN, SETTING,

participantsWe conducted a quality improvement project in liver and kidney transplant recipients admitted to an academic transplant unit in Canada between 1 March 2019 and 1 May 2021.

interventionWe developed a bedside algorithm to monitor post-transplant capillary blood glucose; the algorithm also included thresholds for nursing-initiated inpatient endocrinology consultation. MAIN OUTCOME AND MEASURES: We examined outcome (postoperative days in hyperglycaemia, days to inpatient endocrine consultation), process (nursing documentation of postoperative blood sugars) and balancing measures (nursing workload, postoperative days in hypoglycaemia) following implementation of our algorithm. We used Plan-Do-See-Act cycles to study three iterations of our algorithm, and used box plots to present outcomes before and after algorithm implementation.

resultsIn the pre-intervention period, 21 transplant recipients spent a mean of 4.1 (SD 2.4) postoperative days in hyperglycaemia before endocrine consultation. The mean number of days between hospital admission to endocrine consult was 10.7 (SD 13.0) days.In the post-intervention period, we observed a 62% reduction in postoperative days in hyperglycaemia. The mean number of days between admission and endocrine consult was reduced by 6.3 days (59% reduction).

conclusionsImplementation of a simple, bedside algorithm for postoperative glucose monitoring and detection of hyperglycaemia in transplant patients, reduced the mean number of postoperative days in hyperglycaemia and time to inpatient endocrine consultation. Our algorithm continues to be used in our academic transplant unit.

Indexed as

HyperglycemiaLiver TransplantationBlood GlucoseBlood Glucose Self-MonitoringHumansKidneyQuality ImprovementBlood GlucoseDiabetes mellitusHealthcare quality improvementHospital medicineNurses

Identifiers

PMID35577401
PMCPMC9115008
OpenAlexW4280525447

What OpenQuestion holds

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LicenceCC BY-NC
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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.