Evidence map›Paper›PMID 39398612›Full record

ArticleAmerican journal of translational research2024

Single-center nomogram model for sepsis complicated by acute lung injury.

Miaomiao Gao, Guihua Xu, Sifeng Gao, Zhaohui Wang, Qingrong Shen, Yuan Gao

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Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Miaomiao GaoEmergency Intensive Care Unit, The Affiliated Tai'an City Central Hospital of Qingdao University Tai'an 271000, Shandong, China.
Guihua XuDepartment of Vascular Surgery, The Second Affiliated Hospital of Shandong First Medical University Tai'an 271000, Shandong, China.
Sifeng GaoDepartment of Hematology, The Affiliated Tai'an City Central Hospital of Qingdao University Tai'an 271000, Shandong, China.
Zhaohui WangDepartment of Hematology, The Affiliated Tai'an City Central Hospital of Qingdao University Tai'an 271000, Shandong, China.
Qingrong ShenEmergency Intensive Care Unit, The Affiliated Tai'an City Central Hospital of Qingdao University Tai'an 271000, Shandong, China.
Yuan GaoDepartment of Vascular Surgery, The Second Affiliated Hospital of Shandong First Medical University Tai'an 271000, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo construct and validate a nomogram model for predicting sepsis complicated by acute lung injury (ALI).

methodsThe healthcare records of 193 sepsis patients hospitalized at The Affiliated Tai'an City Central Hospital of Qingdao University from January 2022 to December 2023 were retrospectively reviewed. Among these patients, 69 were in the ALI group and 124 in the non-ALI group. A nomogram prediction model was constructed using logistic regression analysis. Its predictive performance was evaluated through various measures, including the area under the curve (AUC), calibration curve, decision curve, sensitivity, specificity, accuracy, recall rate, and precision rate.

resultsThe predictive factors included the neutrophil/lymphocyte ratio (NLR), oxygenation index (PaO

conclusionNLR, PaO

Indexed as

acute lung injuryforecasting modelnomogramSepsis

Identifiers

PMID39398612
PMCPMC11470295

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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.