Development and validation of a nomogram model for predicting MDRO infections in elderly ICU patients with pulmonary infections

Risk prediction model is effective in predicting the risk of MDRO infection in the ICU elderly pulmonary infection population and can be used to assess risk and inform preventive treatment and nursing interventions.

Authors

Institutions

Publication Details

Journal
Aging Clinical and Experimental Research
Published
2025-07-16
DOI
https://doi.org/10.1007/s40520-025-03136-y
Primary Topic
Nosocomial Infections in ICU
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and validation of a nomogram model for predicting MDRO infections in elderly ICU patients with pulmonary infections

Suming Zhang, Bo Wang, Jingjing Feng, Lei Meng
Aging Clinical and Experimental Research
Nosocomial Infections in ICU
article

Development and validation of a nomogram model for predicting MDRO infections in elderly ICU patients with pulmonary infections

Suming Zhang, Bo Wang, Jingjing Feng, Lei Meng
article en

Abstract

Risk prediction model is effective in predicting the risk of MDRO infection in the ICU elderly pulmonary infection population and can be used to assess risk and inform preventive treatment and nursing interventions.

Aging Clinical and Experimental ResearchVol. 37(1)
Xuzhou Medical College (CN), Affiliated Hospital of Xuzhou Medical College (CN)
Openalex Percentile: Top 79%
Nosocomial Infections in ICU
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.