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Updated: May 30, 2025
Detection of Invasive Pulmonary Aspergillosis in Haematological Malignancy Patients by using Lateral-flow Technology
Published on: March 22, 2012
Clinical evaluation of droplet digital PCR in suspected invasive pulmonary aspergillosis
Yang Liu1, Qiuping Tang1, Sishi Tang1
1Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, PR China.
Abstract:
Invasive pulmonary aspergillosis (IPA), the most common fungal infection, is associated with high mortality of affected patients. Traditional diagnostic methods exhibit limited sensitivity and specificity, raising big challenges for precise management of the patients. There is thus an urgent need to find out a timely and accurate diagnostic method in clinical practice. In this study, 163 patients suspected with IPA were enrolled. The medical data of the patients were retrieved from hospital information system. The 158 patients with complete data were classified into an IPA group with 122 cases (58 putative IPA, 19 probable IPA, and 45 possible IPA cases) and a non-IPA group with 36 cases. Cell-free DNA (cfDNA) of bronchoalveolar lavage fluid (BALF) or plasma samples was detected via a droplet digital PCR (ddPCR) assay targeting Aspergillus spp. Overall, this ddPCR assay demonstrated a higher sensitivity of 50.8 % for IPA diagnosis, compared with that of fungal culture (44.3 %) and smear test (10.7 %). Moreover, its sensitivity was higher in the IPA group (73.1 %) and putative IPA subgroup (88.2 %) when using BALF samples, compared with those using plasma samples (P < 0.01). It achieved a high specificity of 94.4 % for IPA diagnosis, with significant variations in cfDNA copy numbers across the subgroups (P < 0.05). In addition, the ddPCR results were associated with the prognosis of the patients at the discharge (P < 0.05). In conclusion, ddPCR assay demonstrated a good performance for IPA diagnosis when using BALF samples, especially for putative IPA. The ddPCR results could be integrated with clinical data to improve prognostic prediction.
Insights
A new droplet digital PCR (ddPCR) assay shows promise for diagnosing invasive pulmonary aspergillosis (IPA). This method offers improved sensitivity and specificity using bronchoalveolar lavage fluid, aiding in patient prognosis.
Area of Science:
- Medical Diagnostics
- Mycology
- Molecular Biology
Background:
- Invasive pulmonary aspergillosis (IPA) is a serious fungal infection with high mortality.
- Current diagnostic methods for IPA lack sufficient sensitivity and specificity, complicating patient management.
- There is a critical need for accurate and timely diagnostic tools for IPA.
Purpose of the Study:
- To evaluate the diagnostic performance of a droplet digital PCR (ddPCR) assay for Aspergillus spp. in patients suspected of IPA.
- To compare the sensitivity and specificity of the ddPCR assay with traditional methods like fungal culture and smear tests.
- To assess the correlation between ddPCR results and patient prognosis.
Main Methods:
- 163 patients with suspected IPA were enrolled, with data from 158 analyzed.
- Cell-free DNA (cfDNA) from bronchoalveolar lavage fluid (BALF) or plasma samples was detected using a ddPCR assay targeting Aspergillus spp.
- Patients were classified into IPA and non-IPA groups based on clinical data.
Main Results:
- The ddPCR assay demonstrated a higher overall sensitivity (50.8%) for IPA diagnosis compared to fungal culture (44.3%) and smear tests (10.7%).
- Sensitivity was significantly higher when using BALF samples (73.1% in IPA group, 88.2% in putative IPA subgroup) versus plasma samples (P < 0.01).
- The assay achieved a high specificity of 94.4% and ddPCR results correlated with patient prognosis (P < 0.05).
Conclusions:
- The ddPCR assay shows strong performance for IPA diagnosis, particularly with BALF samples, and is especially effective for detecting putative IPA.
- This molecular diagnostic approach offers improved accuracy over conventional methods.
- Integrating ddPCR results with clinical data can enhance prognostic predictions for IPA patients.
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