ArticleInfection and drug resistance2024
Dose Optimization of Fluconazole After Initial Treatment Failure in Pulmonary Cryptococcosis in an Obese Patient with Type 2 Diabetes and Cirrhosis: A Case Report.
Article in Infection and drug resistance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Effectiveness of voriconazole therapy for pulmonary cryptococcosis in fluconazole treatment failure: a multicenter real-world study.BMC infectious diseases · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Pulmonary cryptococcosis is a fungal infection of the lungs, particularly challenging to treat in patients with multiple comorbidities such as obesity, type 2 diabetes, and cirrhosis. Fluconazole is a first-line medication for the treatment of pulmonary cryptococcosis, but currently there is a lack of clinical medication experience in obese patients with multiple comorbidities, especially in dose adjustment after treatment failure. Case Introduction: This case report describes the experience of fluconazole in the treatment of pulmonary cryptococcal infection in a 45-year-old Chinese male with obesity, type 2 diabetes, and cirrhosis. The patient had a history of antifungal therapy for two weeks before admission, but the cough and hemoptysis were not improved. The treatment failed. After admission, it was recommended to use a conventional dose of fluconazole as an antifungal regimen according to the guidelines. However, the treatment effect was still unsatisfactory, due to the patients' cough, hemoptysis, and fever symptoms were not relieved. During this period, it was newly found that the patient had cirrhosis and type 2 diabetes and had not previously controlled blood glucose. Considering the above situation, combined with the pharmacokinetic characteristics of fluconazole and the patient's weight reaching 113 kg, the team readjusted the fluconazole medication regimen, and ultimately, the pulmonary infection improved without significant adverse reactions. Results: We found that it was more suitable for patients with obesity to calculate the dose of fluconazole by the lean weight. By estimation, the patient was finally given a loading dose of 800 mg fluconazole, and his condition improved significantly. After two weeks of medication, it was adjusted to a maintenance dose of 600 mg until the pulmonary infection in the patient disappeared. Conclusion: This case suggests that fluconazole antifungal therapy for pulmonary cryptococcal infection should fully consider the risk of comorbidities in patients. If necessary, medication dosage can be adjusted according to weight, and it is recommended to use lean bodyweight for evaluation and optimization. In addition, close attention should be paid to liver and kidney function.
Indexed as
Identifiers
What OpenQuestion holds
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.