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Binary logistic regression analysis for risk factors associated with AKI in AP patients.

NIAID Data Ecosystem2026-05-02 收录

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https://figshare.com/articles/dataset/Binary_logistic_regression_analysis_for_risk_factors_associated_with_AKI_in_AP_patients_/29968634 数据链接链接失效反馈

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资源简介：

Binary logistic regression analysis for risk factors associated with AKI in AP patients.

应用场景：

创建时间：

2025-08-22

临床风险模型

皮肌炎间质性肺病

Background: Rapidly progressive interstitial lung disease (RP-ILD) is a fatal complication of dermatomyositis (DM) and clinically amyopathic DM (CADM). The objective of this study was to evaluate risk

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Additional file 1 of Serum soluble T cell immunoglobulin mucin domain-3 as an early predictive marker for severity of acute pancreatitis; a retrospective analysis

急性胰腺炎

生物标志物

Additional file 1. A total of 94 acute pancreatitis (AP) patients were enrolled in the current analysis, including 42 (45%), 35 (37%), and 17 (18%) patients were diagnosed as mild acute pancreatitis (

Figshare2024-08-13 更新30

Exclusion of intra-atrial thrombus, diagnosis using D-dimer assay before cath...

心血管诊断

临床风险模型

The purpose of the data collection was to answer to the hypothesis that the association of D-dimer blood level and several clinical items in a new risk score could predict the...

B2FIND10

Galunisertib (LY2157299), a transforming growth factor-β receptor I kinase inhibitor, attenuates acute pancreatitis in rats

急性胰腺炎

TGF-β信号通路调控

Galunisertib (LY2157299), a selective ATP-mimetic inhibitor of TGF-β receptor I (TGF-βRI), is the only known TGF-β pathway inhibitor. In the present study, we investigated the effect of galunisertib o

NIAID Data Ecosystem70

Pooled results of BISAP score, Ranson score, and APACHEII score for the prediction of clinical outcomes.

急性胰腺炎

临床评分系统

AUC, area under curve; DOR, diagnostic odds ratio; NLR, negative likelihood ratio; PNec, pancreatic necrosis; PLR, positive likelihood ratio; SE, standard error; SEN, sensitivity; SPN, specificity.Poo

Figshare2015-12-03 更新20

Binary logistic regression analysis for risk factors associated with AKI in AP patients.

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