Evidence map›Paper›PMID 36914716›Full record

ArticleScientific reports2023

Predictive value of hyperglycemia on infection in critically ill patients with acute pancreatitis.

Yingzhi Jin, Shaoyu Tao, Guang Yu, Chengyi Li, Zanqun Hu, Longjian Jiang

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Article in Scientific reports, 2023. 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
4.8field-weighted citation impact, top 5% 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, 15 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Yingzhi JinDepartment of Emergency and Critical Care Medicine, The Second Affiliated Hospital of Nanchang University, No.1 Minde Road, Nanchang, 330006, Jiangxi Province, China.
Shaoyu TaoDepartment of Emergency and Critical Care Medicine, The Second Affiliated Hospital of Nanchang University, No.1 Minde Road, Nanchang, 330006, Jiangxi Province, China. taoshaoyu@sina.com.
Guang YuDepartment of Emergency and Critical Care Medicine, The Second Affiliated Hospital of Nanchang University, No.1 Minde Road, Nanchang, 330006, Jiangxi Province, China.
Chengyi LiDepartment of Emergency and Critical Care Medicine, The Second Affiliated Hospital of Nanchang University, No.1 Minde Road, Nanchang, 330006, Jiangxi Province, China.
Zanqun HuDepartment of Emergency and Critical Care Medicine, The Second Affiliated Hospital of Nanchang University, No.1 Minde Road, Nanchang, 330006, Jiangxi Province, China.
Longjian JiangDepartment of Emergency and Critical Care Medicine, The Second Affiliated Hospital of Nanchang University, No.1 Minde Road, Nanchang, 330006, Jiangxi Province, China.
Nanchang University · CNSecond Affiliated Hospital of Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To analyze the predictive value of hyperglycemia on the extrapancreatic infection (EPI) and infected pancreatic necrosis (IPN) of severe patients with acute pancreatitis (AP). We enrolled 234 patients with acute pancreatitis admitted to the intensive care unit (ICU) of the Second Affiliated Hospital of Nanchang University from July 2017 to July 2022 for a retrospective cohort study. We collected maximum blood glucose values three times after admission to the ICU within 120 h (Glu1: 0-24 h, Glu2: 24-48 h, Glu3: 48-120 h), the levels of leucocyte, blood urea nitrogen (BUN), C-reactive protein (CRP), procalcitonin (PCT), and albumin within 24 h after admission to the ICU, and the BISAP and SIRS scores of all patients within 24 h. EPI was taken as the primary outcome indicator and IPN as the secondary outcome indicator. The accuracy of blood glucose values in predicting acute pancreatitis infection was measured by the area under the curve (AUC). A total of 56 patients appeared EPI. Univariate analysis showed that Glu3 was associated with IPN in critically ill patients with AP. Multivariate logistic regression analysis showed that Glu2, Glu3, and SIRS > 48 h were associated with EPI in critically ill patients with AP. The AUCs of Glu2 and Glu3 to predict EPI were 0.805(95%CI: 0.717-0.892) and 0.782(95%CI: 0.685-0.878), respectively, and the cutoff values were 12.60 mmol/L and 14.75 mmol/L, respectively. The AUC of Glu2 combined with Glu3 to predict EPI was 0.812(0.725-0.899). The maximum blood glucose on Day2-5 after admission to the ICU can predict infection in critically ill patients with AP. There are differences in etiology while glucose predicting infection. Patients with hypertriglyceridemia AP need to intervene blood glucose levels more actively and earlier, and control it more strictly.

Indexed as

HyperglycemiaPancreatitis, Acute NecrotizingAcute DiseaseBlood GlucoseCritical IllnessHumansPredictive Value of TestsPrognosisRetrospective StudiesROC CurveSystemic Inflammatory Response SyndromeBlood Glucose

Identifiers

PMID36914716
PMCPMC10011550
OpenAlexW4324130433

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LicenceCC BY
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Registered trials

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