Evidence map›Paper›PMID 36853545›Full record

ArticleDigestive diseases and sciences2023

Predicting Persistent Acute Respiratory Failure in Acute Pancreatitis: The Accuracy of Two Lung Injury Indices.

Lan Li, Shiyu Liu, Xiaoying Zhang, Wenhua He, Ping Zhu, Jiahua Shi, Wen Wang, Xing Sun, Na Shi, Liang Xia and 10 more

Abstract read
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In one paragraph

Article in Digestive diseases and sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 6 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

20 authors at 5 institutions in 4 countries.

Lan LiWest China Centre of Excellence for Pancreatitis, Institute of Integrated Traditional Chinese and Western Medicine, West China-Liverpool Biomedical Research Centre, West China Hospital, Sichuan University, Chengdu, China.
Shiyu LiuWest China Centre of Excellence for Pancreatitis, Institute of Integrated Traditional Chinese and Western Medicine, West China-Liverpool Biomedical Research Centre, West China Hospital, Sichuan University, Chengdu, China.
Xiaoying ZhangWest China Centre of Excellence for Pancreatitis, Institute of Integrated Traditional Chinese and Western Medicine, West China-Liverpool Biomedical Research Centre, West China Hospital, Sichuan University, Chengdu, China.
Wenhua HeDepartment of Gastroenterology, First Affiliated Hospital of Nanchang University, Nanchang, China.
Ping ZhuWest China Centre of Excellence for Pancreatitis, Institute of Integrated Traditional Chinese and Western Medicine, West China-Liverpool Biomedical Research Centre, West China Hospital, Sichuan University, Chengdu, China.
Jiahua ShiWest China Centre of Excellence for Pancreatitis, Institute of Integrated Traditional Chinese and Western Medicine, West China-Liverpool Biomedical Research Centre, West China Hospital, Sichuan University, Chengdu, China.
Wen WangChinese Evidence-Based Medicine Center and CREAT Group, West China Hospital, Sichuan University, Chengdu, China.
Xing SunChinese Evidence-Based Medicine Center and CREAT Group, West China Hospital, Sichuan University, Chengdu, China.
Na ShiWest China Centre of Excellence for Pancreatitis, Institute of Integrated Traditional Chinese and Western Medicine, West China-Liverpool Biomedical Research Centre, West China Hospital, Sichuan University, Chengdu, China.
Liang XiaDepartment of Gastroenterology, First Affiliated Hospital of Nanchang University, Nanchang, China.
Nonghua LuDepartment of Gastroenterology, First Affiliated Hospital of Nanchang University, Nanchang, China.
Anthony R PhilipsApplied Surgery and Metabolism Laboratory, School of Biological Sciences, University of Auckland, Auckland, New Zealand.
Vikesh K SinghPancreatitis Center, Division of Gastroenterology, Johns Hopkins Medical Institutions, Baltimore, USA.
Robert SuttonLiverpool Pancreatitis Research Group, Liverpool University Hospitals NHS Foundation Trust and Institute of Translational Medicine, University of Liverpool, Liverpool, UK.
Yin ZhuDepartment of Gastroenterology, First Affiliated Hospital of Nanchang University, Nanchang, China.
Wei HuangWest China Centre of Excellence for Pancreatitis, Institute of Integrated Traditional Chinese and Western Medicine, West China-Liverpool Biomedical Research Centre, West China Hospital, Sichuan University, Chengdu, China.
John A WindsorSurgical and Translational Research Centre, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
Lihui DengWest China Centre of Excellence for Pancreatitis, Institute of Integrated Traditional Chinese and Western Medicine, West China-Liverpool Biomedical Research Centre, West China Hospital, Sichuan University, Chengdu, China.
Tao JinWest China Centre of Excellence for Pancreatitis, Institute of Integrated Traditional Chinese and Western Medicine, West China-Liverpool Biomedical Research Centre, West China Hospital, Sichuan University, Chengdu, China. jintao@wchscu.cn.ORCID 0000-0002-6735-0035
Qing XiaWest China Centre of Excellence for Pancreatitis, Institute of Integrated Traditional Chinese and Western Medicine, West China-Liverpool Biomedical Research Centre, West China Hospital, Sichuan University, Chengdu, China.
Sichuan University · CNNanchang University · CNUniversity of Auckland · NZJohns Hopkins University · USUniversity of Liverpool · GB

Funding

Department of Health
6 · The paper itself

Abstract

BACKGROUND/

aimsEarly and accurate identification of patients with acute pancreatitis (AP) at high risk of persistent acute respiratory failure (PARF) is crucial. We sought to determine the accuracy of simplified Lung Injury Prediction Score (sLIPS) and simplified Early Acute Lung Injury (sEALI) for predicting PARF in ward AP patients.

methodsConsecutive AP patients in a training cohort from West China Hospital of Sichuan University (n = 912) and a validation cohort from The First Affiliated Hospital of Nanchang University (n = 1033) were analyzed. PARF was defined as oxygen in arterial blood/fraction of inspired oxygen < 300 mmHg that lasts for > 48 h. The sLIPS was composed by shock (predisposing condition), alcohol abuse, obesity, high respiratory rate, low oxygen saturation, high oxygen requirement, hypoalbuminemia, and acidosis (risk modifiers). The sEALI was calculated from oxygen 2 to 6 L/min, oxygen > 6 L/min, and high respiratory rate. Both indices were calculated on admission.

resultsPARF developed in 16% (145/912) and 22% (228/1033) (22%) of the training and validation cohorts, respectively. In these patients, sLIPS and sEALI were significantly increased. sLIPS ≥ 2 predicted PARF in the training (AUROC 0.87, 95% CI 0.84-0.89) and validation (AUROC 0.81, 95% CI 0.78-0.83) cohorts. sLIPS was significantly more accurate than sEALI and current clinical scoring systems in both cohorts (all P < 0.05).

conclusionsUsing routinely available clinical data, the sLIPS can accurately predict PARF in ward AP patients and outperforms the sEALI and current existing clinical scoring systems.

Indexed as

Acute Lung InjuryPancreatitisRespiratory Distress SyndromeRespiratory InsufficiencyAcute DiseaseAPACHEHumansOxygenPredictive Value of TestsRetrospective StudiesSeverity of Illness IndexOxygenAcute pancreatitisEarly predictionPersistent acute respiratory failureSimplified early acute lung injurySimplified Lung Injury Prediction Score

Identifiers

PMID36853545
OpenAlexW4322616669

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.