Evidence map›Paper›PMID 39487400›Full record

ArticleBMC medical imaging2024

Imaging and clinical manifestations of hematogenous dissemination in melioidosis.

Anle Yu, Lanfang Su, Qun Li, Xiaohua Li, Sile Tao, Feng Li, Danqiong Deng

Abstract read
In one paragraph

Article in BMC medical imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Anle Yu *Department of Radiology, The First Affiliated Hospital of Hainan Medical University, 31 Longhua Rd, Haikou, Hainan, China. yallq2004@163.com.
Lanfang Su *Department of Radiology, The First Affiliated Hospital of Hainan Medical University, 31 Longhua Rd, Haikou, Hainan, China.
Qun LiDepartment of Pathology, The First Affiliated Hospital of Hainan Medical University, 31 Longhua Rd, Haikou, Hainan, China.
Xiaohua LiDepartment of Radiology, The First Affiliated Hospital of Hainan Medical University, 31 Longhua Rd, Haikou, Hainan, China.
Sile TaoDepartment of Data Science, Quartic.ai, 1050 King St W, Toronto, ON, Canada.
Feng LiDepartment of Radiology, The First Affiliated Hospital of Hainan Medical University, 31 Longhua Rd, Haikou, Hainan, China.
Danqiong DengDepartment of Radiology, The First Affiliated Hospital of Hainan Medical University, 31 Longhua Rd, Haikou, Hainan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough there is a high incidence of hematogenous infections in melioidosis, a tropical infectious disease, there are few systematic analyses of hematogenous melioidosis in imaging articles. A comprehensive clinical and imaging evaluation of hematogenous melioidosis be conducted in order to achieve early diagnosis of the disease. MATERIALS AND

methodsWe conducted an analysis of 111 cases of melioidosis diagnosed by bacteriological culture between August 2001 and September 2022. The analysis focused on observing the main manifestations of chest imaging and clinical data, including nodules, cavities, consolidation, ground glass opacity(GGO), pleural effusion, centrilobular nodules, and temperature, leucocyte count, diabetes, etc. Our study involved univariate and multivariate analyses to identify significant diagnostic variables and risk predictive factors.

resultsA total of 71.2% (79/111) of melioidosis cases were caused by hematogenous infection, and the most common organ involved was the lungs (88.5%, 100/113). The incidence of sepsis in patients with lung abnormalities was high (73%, 73/100), and the mortality rate of septic shock was 22% (22/100). Univariate analysis showed that the radiologic signs of blood culture-positive cases were more likely to have bilateral pulmonary and subpleural nodules (p = 0.003), bilateral GGO (p = 0.001), bilateral hydrothorax (p = 0.011). The multivariate analysis revealed a significant improvement in the area under the receiver operating characteristic curve (AUC) when comparing the model that included both clinical and radiologic variables to the model with clinical variables alone. The AUC increased from 0.818 to 0.932 (p = 0.012). The most important variables in the logistic regression with backward elimination were found to be nodule, GGO, and diabetes.

conclusionThe combination of CT features and clinical variables provided a valuable and timely warning for blood borne infectious melioidosis.

Indexed as

MelioidosisAdultAgedAged, 80 and overBurkholderia pseudomalleiFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsTomography, X-Ray ComputedBacteremiaBurkholderia pseudomalleiDiagnostic imagingEarly diagnosisMelioidosis

Identifiers

PMID39487400
PMCPMC11529265

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.