Difference of Clinical Manifestation Between Infection and Colonization of Pseudomonas aeruginosa Among Patients With Community-Acquired Pneumonia

Low systolic blood pressure might be a useful marker for distinguishing isolated <i>P. aeruginosa</i> that need to be targeted from those that do not need to be targeted. However, interventional research is required to validate our study results.

Authors

Institutions

Publication Details

Journal
Cureus
Published
2024-11-08
DOI
https://doi.org/10.7759/cureus.73298
Citations
1
Primary Topic
Pneumonia and Respiratory Infections
Type
article
Field-Weighted Citation Impact
0.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Difference of Clinical Manifestation Between Infection and Colonization of Pseudomonas aeruginosa Among Patients With Community-Acquired Pneumonia

Hisayuki Shuto, Akihiko Goto, Shoma Hirota, Kosaku Komiya
1 citations
Cureus
Pneumonia and Respiratory Infections
0.39
article

Difference of Clinical Manifestation Between Infection and Colonization of Pseudomonas aeruginosa Among Patients With Community-Acquired Pneumonia

Hisayuki Shuto, Akihiko Goto, Shoma Hirota, Kosaku Komiya
article en
1 citations

Abstract

Low systolic blood pressure might be a useful marker for distinguishing isolated <i>P. aeruginosa</i> that need to be targeted from those that do not need to be targeted. However, interventional research is required to validate our study results.

CureusVol. 16(11)
Oita University (JP), Tenshi Hospital (JP)
Good health and well-being
Openalex Percentile: Top 32%
Pneumonia and Respiratory Infections
0.39
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.