A 15-Year Observational Cohort of Acute Empyema at a Single-Center in Japan

<b>Introduction:</b> Despite the advancements in diagnostic methods and antibiotic treatment, empyema is a critical respiratory infection, showing a high mortality rate of 10-25%. <b>Patients and Methods:</b> To evaluate the bacterial etiology and prognostic factors of acute empyema, we conducted this long-term retrospective cohort study at our institute between 2008 and 2022. <b>Results:</b> A total of 80 patients were enrolled in this cohort. The median age was 72 years (range 19 to 93 years), and 61 (76%) were male. The most common underlying disease was malignancy, seen in 28 (35%). The mean Charlson comorbidity index (CCI) was 2.7 (±2.4). The 30-day and in-hospital mortality were 9 (11%) and 15 (19%), respectively. Univariate analysis revealed that healthcare-associated infection, inappropriate treatment, high CCI score, performance status (PS) of 2-4, and isolation of potentially drug-resistant (PDR) pathogens were poor prognostic factors. Finally, multivariate analysis showed that high CCI score (<i>p</i> = 0.009) and isolation of PDR pathogens (<i>p</i> = 0.011) were independent poor prognostic factors for in-hospital death in acute empyema. <b>Conclusions:</b> We found that higher CCI scores and isolation of PDR pathogens were independent poor prognostic factors for in-hospital mortality among empyema patients.

Authors

Institutions

Publication Details

Journal
Antibiotics
Published
2024-12-11
DOI
https://doi.org/10.3390/antibiotics13121205
Citations
2
Primary Topic
Pleural and Pulmonary Diseases
Type
article
Field-Weighted Citation Impact
0.84
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A 15-Year Observational Cohort of Acute Empyema at a Single-Center in Japan

Mao Hagihara, Wataru Ohashi, Hideo Kato, Daisuke Sakanashi et al.
2 citations
Antibiotics
Pleural and Pulmonary Diseases
0.84
article

A 15-Year Observational Cohort of Acute Empyema at a Single-Center in Japan

Mao Hagihara, Wataru Ohashi, Hideo Kato, Daisuke Sakanashi, Hiroyuki Suematsu, Hiroshige Mikamo, Yuichi Shibata, Nobuhiro Asai
article en
2 citations

Abstract

<b>Introduction:</b> Despite the advancements in diagnostic methods and antibiotic treatment, empyema is a critical respiratory infection, showing a high mortality rate of 10-25%. <b>Patients and Methods:</b> To evaluate the bacterial etiology and prognostic factors of acute empyema, we conducted this long-term retrospective cohort study at our institute between 2008 and 2022. <b>Results:</b> A total of 80 patients were enrolled in this cohort. The median age was 72 years (range 19 to 93 years), and 61 (76%) were male. The most common underlying disease was malignancy, seen in 28 (35%). The mean Charlson comorbidity index (CCI) was 2.7 (±2.4). The 30-day and in-hospital mortality were 9 (11%) and 15 (19%), respectively. Univariate analysis revealed that healthcare-associated infection, inappropriate treatment, high CCI score, performance status (PS) of 2-4, and isolation of potentially drug-resistant (PDR) pathogens were poor prognostic factors. Finally, multivariate analysis showed that high CCI score (<i>p</i> = 0.009) and isolation of PDR pathogens (<i>p</i> = 0.011) were independent poor prognostic factors for in-hospital death in acute empyema. <b>Conclusions:</b> We found that higher CCI scores and isolation of PDR pathogens were independent poor prognostic factors for in-hospital mortality among empyema patients.

AntibioticsVol. 13(12)
Aichi Medical University (JP), Mie University (JP), University of Michigan (US), Aichi Medical University Hospital (JP), Mie University Hospital (JP)
Good health and well-being
Openalex Percentile: Top 22%
Pleural and Pulmonary Diseases
0.84
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.