Nomogram for Predicting in-Hospital Severe Complications in Patients with Acute Myocardial Infarction Admitted in Emergency Department

This study developed and validated an intuitive nomogram to assist clinicians in evaluating the probability of severe complications in AMI patients using readily available clinical data and laboratory parameters.

Authors

Institutions

Publication Details

Journal
Risk Management and Healthcare Policy
Published
2024-12-01
DOI
https://doi.org/10.2147/rmhp.s485088
Primary Topic
Acute Myocardial Infarction Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nomogram for Predicting in-Hospital Severe Complications in Patients with Acute Myocardial Infarction Admitted in Emergency Department

Kongzhi Yang, Yingjie Su, Ning Ding, Kun Song et al.
Risk Management and Healthcare Policy
Acute Myocardial Infarction Research
article

Nomogram for Predicting in-Hospital Severe Complications in Patients with Acute Myocardial Infarction Admitted in Emergency Department

Kongzhi Yang, Yingjie Su, Ning Ding, Kun Song, Yaqin Song
article en

Abstract

This study developed and validated an intuitive nomogram to assist clinicians in evaluating the probability of severe complications in AMI patients using readily available clinical data and laboratory parameters.

Risk Management and Healthcare PolicyVol. Volume 17
Central South University (CN), Changsha Medical University (CN), Hunan Normal University (CN), Changsha Central Hospital (CN), Hunan Provincial People's Hospital (CN), University of South China (CN)
Good health and well-being
Openalex Percentile: Top 58%
Acute Myocardial Infarction Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.