Evidence map›Paper›PMID 35057791›Full record

ArticleBMC endocrine disorders2022

Factors associated with long intensive care unit (ICU) admission among inpatients with and without diabetes in South Western Sydney public hospitals using the New South Wales admission patient data collection (2014-2017).

Uchechukwu L Osuagwu, Matthew Xu, Milan K Piya, Kingsley E Agho, David Simmons

Open access · goldAbstract read
In one paragraph

Article in BMC endocrine disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Efficacy of inhaled antibiotics in children with ventilator-associated pneumonia: A systematic review and meta-analysis.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2026
    Review
  4. The clinical profile of abdominopelvic injury and the determinants of length of stay and mortality in the intensive care unit of a tertiary hospital.The Southern African journal of critical care : the official journal of the Critical Care Society · 2025
    Article
  5. Article
  6. Article
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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

5 authors at 2 institutions in 2 countries.

Uchechukwu L OsuagwuTranslational Health Research Institute (THRI), School of Medicine, Western Sydney University, Campbelltown, NSW, 2560, Australia. l.osuagwu@westernsydney.edu.au.
Matthew XuDiabetes, Obesity and Metabolism Translational Research Unit (DOMTRU), School of Medicine, Western Sydney University, Campbelltown, NSW, 2560, Australia.
Milan K PiyaDiabetes, Obesity and Metabolism Translational Research Unit (DOMTRU), School of Medicine, Western Sydney University, Campbelltown, NSW, 2560, Australia.
Kingsley E AghoTranslational Health Research Institute (THRI), School of Medicine, Western Sydney University, Campbelltown, NSW, 2560, Australia.
David SimmonsDiabetes, Obesity and Metabolism Translational Research Unit (DOMTRU), School of Medicine, Western Sydney University, Campbelltown, NSW, 2560, Australia.
Western Sydney University · AUCamden and Campbelltown Hospitals · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong stay in intensive care unit (ICU) is associated with poor outcomes, particularly in people with diabetes. It increases the financial burden of care and this is a challenge to the South Western Sydney region, which is already a hotspot for diabetes in Australia. This study compared ICU admission characteristics of people with and without diabetes and the factors associated with long ICU stay among patients admitted to public hospitals in this metropolitan health district from 2014 to 2017.

methodsCross-sectional datasets on 187,660, including all ICU admissions in the New South Wales Admitted Patient Data Collection (APDC) from June 2014 - July 2017 in public hospital were extracted. Data on demographic and health insurance status, primary admission diagnosis using ICD-10, comorbidities including death among hospital inpatients aged ≥18 years residing in SWS were analysed. The ICU length of stay was the outcome variable and were classified into short stay (≤48 h) and long stay (> 48 h), and were examined against potential confounding factors using bivariate and multiple logistic regression analyses.

resultsOur results showed higher ICU admissions in patients with diabetes than in those without diabetes (5% vs. 3.3%, P < 0.001) over three years. The median and interquartile range (IQR) of length of the ICU stay were similar in both groups [diabetes: 40 h, IQR = 16-88 h vs. non-diabetes: 43 h, IQR = 19-79 h]. The prevalence of long ICU stays among people with and without diabetes were 44.9% [95% CI 42.1, 47.7%] and 43.6% [95% CI 42.2, 44.9%], respectively. For both groups, increased odds of long ICU stay were associated with death and circulatory system disease admissions, while musculoskeletal disease admissions were associated with lower risk of long ICU stay. In the non-diabetes group, male sex, nervous system disease admissions and living in peri-urban areas were associated with higher odds of long ICU stay.

conclusionsThe rate of ICU admissions among inpatients remain higher in people with diabetes. One in every two admissions to ICU had a long stay. Additional care for those admitted with circulatory system diseases are needed to reduce long ICU stay related deaths in SWS.

Indexed as

AdolescentAdultAgedCross-Sectional StudiesDiabetes MellitusFemaleHospitals, PublicHumansIntensive Care UnitsLength of StayMaleMiddle AgedNew South WalesAdmissionsDiabetesHospitalisationIntensive careLength of stayPrimary admission diagnosisUrban

Identifiers

PMID35057791
PMCPMC8781508
OpenAlexW4206753528

What OpenQuestion holds

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Registered trials

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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.