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Lateral flow assay as radiological prognosis factor of pulmonary cryptococcosis: a single center retrospective study in China

  • 0Department of Infectious Diseases, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Frontiers in Cellular and Infection Microbiology +

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February 5, 2025

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February 5, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

Lateral flow assay (LFA) can predict treatment success in pulmonary cryptococcosis (PC). Lower baseline LFA and decreasing LFA levels after treatment correlate with better radiological outcomes in HIV-negative patients.

Area Of Science

  • Medical Diagnostics
  • Infectious Diseases
  • Radiology

Background

  • Pulmonary cryptococcosis (PC) diagnosis often relies on lateral flow assay (LFA), known for high sensitivity and specificity.
  • The utility of LFA in predicting treatment efficacy for PC is not well-established.

Purpose Of The Study

  • To evaluate the role of LFA in predicting radiological prognosis for pulmonary cryptococcosis in HIV-negative patients.
  • To identify clinical and LFA-related predictors of treatment outcomes.

Main Methods

  • Retrospective analysis of 168 HIV-negative patients with PC treated with triazole antifungal agents.
  • Assessment of baseline LFA and changes in LFA levels post-treatment as predictors of radiological outcomes.
  • Statistical analysis including gamma test, chi-square trend test, and ordinal logistic regression.

Main Results

  • 84.5% of patients showed partial or complete absorption of pulmonary lesions.
  • Both baseline LFA levels and changes in LFA after treatment significantly predicted imaging prognosis.
  • Higher baseline LFA and increasing LFA post-treatment were associated with poorer radiological outcomes.
  • Decreased LFA levels post-therapy correlated with significantly better radiological outcomes.

Conclusions

  • Lateral flow assay (LFA) demonstrates potential as a tool for monitoring radiological outcomes in pulmonary cryptococcosis.
  • LFA parameters, including baseline levels and post-treatment changes, are valuable predictors of treatment response.

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