ArticleJournal of clinical medicine2020
A Mortality Prediction Rule for Hematology Patients with Invasive Aspergillosis Based on Serum Galactomannan Kinetics.
Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- American Society of Transplantation and Cellular Therapy Series, 2: Management and Prevention of Aspergillosis in Hematopoietic Cell Transplantation Recipients.Transplantation and cellular therapy · 2021Guideline
- Invasive aspergillosis in autoimmune inflammatory rheumatic diseases: epidemiology, risk factors, diagnosis, management and challenges.Annals of medicine · 2026Review
- Therapeutic Failure in Invasive Fungal Infections: Beyond Antifungal Resistance-A Narrative Review.Journal of fungi (Basel, Switzerland) · 2026Review
- Biomarkers in Invasive Pulmonary Fungal Infections: Where Do We Stand?Journal of fungi (Basel, Switzerland) · 2026Review
- Real-World Experience with Isavuconazole for Invasive Aspergillosis in Hematologic Patients with and Without COVID-19 in Brazil.Journal of fungi (Basel, Switzerland) · 2025Article
- Prognostic Value of Serum and Bronchoalveolar Lavage Fluid Galactomannan Levels in Invasive Aspergillosis: An 8-Year Experience at a Tertiary Cancer Center.Journal of fungi (Basel, Switzerland) · 2025Article
- Pentraxin-3 as a novel prognostic biomarker in non-neutropenic invasive pulmonary aspergillosis patients.Microbiology spectrum · 2025Article
- A serum galactomannan and neutrophil-to-lymphocyte ratio-based nomogram for predicting in-hospital mortality in non-neutropenic invasive pulmonary aspergillosis.Frontiers in cellular and infection microbiology · 2025Article
- Breaking the mould: challenging the status quo of clinical trial response definitions for invasive fungal diseases-a debate.The Journal of antimicrobial chemotherapy · 2024Article
- Prognostic factors and outcomes of invasive pulmonary aspergillosis, a retrospective hospital-based study.PeerJ · 2024Article
- Long-Term Kinetics of Serum Galactomannan during Treatment of Complicated Invasive Pulmonary Aspergillosis.Journal of fungi (Basel, Switzerland) · 2023Article
- Article
- Update on Non-Culture-Based Diagnostics for Invasive Fungal Disease.Mycopathologia · 2021Article
- Identification of Skin Lesions by Using Single-Step Multiframe Detector.Journal of clinical medicine · 2021Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
In invasive aspergillosis (IA), an early and adequate assessment of the response to the initial antifungal therapy remains problematic. We retrospectively analyzed 206 hematology patients with proven or probable IA, and collected serial serum galactomannan (sGM) values and survival status through week 6 and week 12. We created a model for survival at week 6 based on the sGM taken at baseline and on early sGM kinetics. This resulted in a rule predicting that patients with a baseline sGM index >1.4, who failed to lower that index to <0.5 after one week, had a mortality rate of 48.1% at week 6. Conversely, patients presenting with a baseline sGM index ≤1.4 that obtained a negative sGM (<0.5) after one week, had a mortality that was almost five times lower at only 10.1% by week 6. These findings were confirmed in an external cohort from an independent prospective study. In conclusion, sGM kinetics correlate well with treatment outcomes in hematology patients with IA. We present a rule which is easy to use at the bedside and has good accuracy in predicting week 6 survival.
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Registered trials
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.