Evidence map›Paper›PMID 39378887›Full record

ArticleThe American journal of tropical medicine and hygiene2024

Multi-Locus Sequence Typing-Based Genetic Analysis, Antifungal Resistance, and Clinical Prognosis of Cryptococcus neoformans Infections in HIV-Infected Patients in Northern China.

Fang-Fang Dai, Yan-Hua Yu, Xin-Xin Lu

Abstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Sequence Types ofPathogens (Basel, Switzerland) · 2026
    Article
  2. Molecular Epidemiology and Antifungal Susceptibility ofInfection and drug resistance · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Fang-Fang DaiDepartment of Clinical Laboratory, Beijing Youan Hospital, Capital Medical University, Beijing, China.
Yan-Hua YuDepartment of Clinical Laboratory, Beijing Youan Hospital, Capital Medical University, Beijing, China.
Xin-Xin LuBeijing Tongren Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the molecular epidemiological characteristics and drug sensitivity of Cryptococcus from HIV-infected patients and their relationship with patients' prognosis. Seventy-six strains were collected and identified to the species level by matrix-assisted laser desorption ionization-time of flight mass spectrometry, confirmed by internal transcribed spacer sequencing. Multi-locus sequence typing was used for the typing of Cryptococcus, and its antifungal susceptibility was tested using FUNGUS 3. The clinical outcomes of the patients were reviewed at 3-, 6-, 9-, and 12-month follow-ups. All strains were Cryptococcus neoformans var. grubii classified into seven sequence types (STs) dominated by ST5, ST31, and a new ST702 strain. The 6- and 9-month survival rates were highest for patients infected with ST31, ST32, and ST174. The antifungal resistant rates were 13.2%, 2.6%, and 1.4% for fluconazole, amphotericin B, and 5-fluorocytosine. Except itraconazole, the minimum inhibitory concentration (MIC) values and wild type (WT)/non-wild type (NWT) of Cryptococcus for antifungal drugs were not related to the clinical prognosis of HIV-infected patients with cryptococcal infection. ST5 was the main ST type, and the new ST702 type was found in a patient who died in a short period of time. Cryptococcus neoformans var. grubii had a relatively high antifungal drug resistance rate to fluconazole. The WT strain accounted for the highest proportions for 5-fluorocytosine, amphotericin B, fluconazole, voriconazole, and itraconazole. The MIC values of Cryptococcus for first-line antifungal drugs showed no relationship with clinical prognosis, implying that MIC values cannot be used to predict the clinical outcome of these patients.

Indexed as

Antifungal AgentsCryptococcosisCryptococcus neoformansDrug Resistance, FungalHIV InfectionsMicrobial Sensitivity TestsMultilocus Sequence TypingAdultAmphotericin BChinaFemaleFluconazoleHumansMaleMiddle AgedPrognosisAmphotericin BAntifungal AgentsFluconazole

Identifiers

PMID39378887
PMCPMC11619496

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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.