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An Observational Study of Fungal Biomarkers (MK-0000-089)

4. august 2015 oppdatert av: Merck Sharp & Dohme LLC

A Prospective, Non-Intervention, Observational Assessment of the Correlation Between Circulating Biomarkers of Fungal Bioburden and Clinical Outcome in the Setting of Invasive Aspergillosis

The purpose of this study is to evaluate the relationship between fungal biomarker levels during anti-fungal therapy and the success of treatment for fungal infection. The primary hypothesis is that over the initial two weeks of anti-fungal therapy, fungal biomarkers from participants with invasive aspergillosis (IA) will be lower for those with a successful clinical outcome compared to those with a failed clinical outcome.

Studieoversikt

Status

Fullført

Forhold

Intervensjon / Behandling

Studietype

Observasjonsmessig

Registrering (Faktiske)

116

Deltakelseskriterier

Forskere ser etter personer som passer til en bestemt beskrivelse, kalt kvalifikasjonskriterier. Noen eksempler på disse kriteriene er en persons generelle helsetilstand eller tidligere behandlinger.

Kvalifikasjonskriterier

Alder som er kvalifisert for studier

16 år og eldre (Barn, Voksen, Eldre voksen)

Tar imot friske frivillige

Nei

Kjønn som er kvalifisert for studier

Alle

Prøvetakingsmetode

Ikke-sannsynlighetsprøve

Studiepopulasjon

Participants will be selected through collaborations with clinicians.

Beskrivelse

Inclusion Criteria:

  • Is 16 years of age or older
  • Female is either post-menopausal, surgically sterilized, willing to use 2 adequate methods of birth control, or agrees to abstain from heterosexual activity throughout the study
  • Female of child bearing potential must have a negative pregnancy test
  • Male is surgically sterilized, agrees to use an adequate method of contraception, or agrees to abstain from heterosexual activity for the duration of the study
  • Has possible, probable, or confirmed invasive aspergillosis (IA)
  • Has had a computed tomography (CT) or magnetic resonance imaging (MRI) scan 72 hours prior to initiation of anti-fungal therapy

Exclusion Criteria:

  • Has had hemodialysis using cellulose membrane within 2 weeks of study start

Studieplan

Denne delen gir detaljer om studieplanen, inkludert hvordan studien er utformet og hva studien måler.

Hvordan er studiet utformet?

Designdetaljer

Kohorter og intervensjoner

Gruppe / Kohort
Intervensjon / Behandling
Invasive Aspergillosis
Observational
Blood samples will be collected for 12 weeks to evaluate levels of fungal biomarkers.

Hva måler studien?

Primære resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
Average of the Z-scores of the Time-Weighted Averages (TWA) of Fungal Biomarkers Galactomannan (GM) and (1,3)-β-D-glucan (βDG) Over the First Two Weeks of Treatment for Responders (R) and Non-Responders (NonR) to Anti-fungal Treatment at Week 6.
Tidsramme: Weeks 1 and 2
After enrollment blood was collected at baseline, twice per week for the first six weeks, then weekly through twelve weeks for biomarker analysis of GM and βDG. Clinical outcome was assessed for qualified participants at 6 and 12 weeks after initiation of antifungal treatment. For a given biomarker the Z-score is the difference from the mean of each individual TWA divided by the overall standard deviation (SD). The average of the Z-scores of the TWA for qualified participants is then calculated across all biomarkers, and used to derive the mean for R and NonR to antifungal therapy.
Weeks 1 and 2

Sekundære resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
Average of the Z-scores of the Slopes of Least-Squares Straight Lines (SLSSL) Fitted to the Fungal Biomarkers GM and βDG Over the First Two Weeks of Treatment for R and NonR to Anti-fungal Treatment at Week 6.
Tidsramme: Weeks 1 and 2
After enrollment blood was collected at baseline, twice per week for the first six weeks, then weekly through twelve weeks for analysis of biomarkers GM and βDG. Clinical outcome was assessed for qualified participants at 6 and 12 weeks after initiation of antifungal treatment. For a given biomarker the Z-score is the difference from the mean of each individual SLSSL divided by the overall SD. The average Z-scores of the SLSSL for qualified participants is then calculated across all biomarkers, and used to derive the mean for R and NonR to antifungal therapy.
Weeks 1 and 2
Average of the Z-scores of the TWA of the Changes From Baseline (CFB) of Fungal Biomarkers GM and βDG Over the First Two Weeks of Treatment for R and NonR to Anti-fungal Treatment at Week 6.
Tidsramme: Weeks 1 and 2
After enrollment blood was collected at baseline, twice per week for the first six weeks, then weekly through twelve weeks for analysis of GM and βDG. Clinical outcome was assessed for qualified participants at 6 and 12 weeks after initiation of antifungal treatment. For a given biomarker the Z-score is the difference from the mean of each individual TWA CFB divided by the overall SD. The average of the Z-scores of the TWA CFB for qualified participants is then calculated across all biomarkers, and used to derive the mean for R and NonR to antifungal therapy.
Weeks 1 and 2
Average of the Z-scores of the Percent Changes From Baseline (%CFB) of Fungal Biomarkers GM and βDG Over the First Two Weeks of Treatment for R and NonR to Anti-fungal Treatment at Week 6.
Tidsramme: Weeks 1 and 2
After enrollment blood was collected at baseline, twice per week for the first six weeks, then weekly through twelve weeks for biomarker analysis of GM and βDG. Clinical outcome was assessed for qualified participants at 6 and 12 weeks after initiation of antifungal treatment. For a given biomarker the Z-score is the difference from the mean of each individual %CFB divided by the overall SD. The average of the Z-scores of the %CFB for qualified participants is then calculated across all biomarkers, and used to derive the mean for R and NonR to antifungal therapy.
Weeks 1 and 2
Average of the Z-scores of the SLSSL Fitted to the Fungal Biomarkers GM and βDG Over the First Two Weeks of Treatment for R and NonR to Anti-fungal Treatment at Week 12.
Tidsramme: Weeks 1 and 2
After enrollment blood was collected at baseline, twice per week for the first six weeks, then weekly through twelve weeks for biomarker analysis of GM and βDG. Clinical outcome was assessed for qualified participants at 6 and 12 weeks after initiation of antifungal treatment. For a given biomarker the Z-score is the difference from the mean of each individual SLSSL divided by the overall SD. The average Z-scores of the SLSSL for qualified participants is then calculated across all biomarkers, and used to derive the mean for R and NonR to antifungal therapy.
Weeks 1 and 2
Average of the Z-scores of the TWA of the CFB of Fungal Biomarkers GM and βDG Over the First Two Weeks of Treatment for R and NonR to Anti-fungal Treatment at Week 12.
Tidsramme: Weeks 1 and 2
After enrollment blood was collected at baseline, twice per week for the first six weeks, then weekly through twelve weeks for analysis of GM and βDG. Clinical outcome was assessed for qualified participants at 6 and 12 weeks after initiation of antifungal treatment. For a given biomarker the Z-score is the difference from the mean of each individual TWA CFB divided by the overall SD. The average of the Z-scores of the TWA CFB for qualified participants is then calculated across all biomarkers, and used to derive the mean for R and NonR to antifungal therapy.
Weeks 1 and 2
Average of the Z-scores of %CFB of Fungal Biomarkers GM and βDG Over the First Two Weeks of Treatment for R and NonR to Anti-fungal Treatment at Week 12.
Tidsramme: Weeks 1 and 2
After enrollment blood was collected at baseline, twice per week for the first six weeks, then weekly through twelve weeks for biomarker analysis of GM and βDG. Clinical outcome was assessed for qualified participants at 6 and 12 weeks after initiation of antifungal treatment. For a given biomarker the Z-score is the difference from the mean of each individual %CFB divided by the overall SD. The average of the Z-scores of the %CFB for qualified participants is then calculated across all biomarkers, and used to derive the mean for R and NonR to antifungal therapy.
Weeks 1 and 2
Average of the Z-scores of the TWA of Fungal Biomarkers GM and βDG Over the First Week of Treatment for R and NonR to Anti-fungal Treatment at Week 6.
Tidsramme: Week 1
After enrollment blood was collected at baseline, twice per week for the first six weeks, then weekly through twelve weeks for analysis of GM and βDG. Clinical outcome was assessed for qualified participants at 6 and 12 weeks after initiation of antifungal treatment. For a given biomarker the Z-score is the difference from the mean of each individual TWA divided by the overall SD. The average of the Z-scores of the TWA for qualified participants is then calculated across all biomarkers, and used to derive the mean for R and NonR to antifungal therapy.
Week 1
Average of the Z-scores of the TWA of Fungal Biomarkers GM and βDG Over the First Week of Treatment for R and NonR to Anti-fungal Treatment at Week 12.
Tidsramme: Week 1
After enrollment blood was collected at baseline, twice per week for the first six weeks, then weekly through twelve weeks for analysis of GM and βDG. Clinical outcome was assessed for qualified participants at 6 and 12 weeks after initiation of antifungal treatment. For a given biomarker the Z-score is the difference from the mean of each individual TWA divided by the overall SD. The average of the Z-scores of the TWA for qualified participants is then calculated across all biomarkers, and used to derive the mean for R and NonR to antifungal therapy.
Week 1
Average of the Z-scores of the SLSSL Fitted to the Fungal Biomarkers GM and βDG Over the First Week of Treatment for R and NonR to Anti-fungal Treatment at Week 6.
Tidsramme: Week 1
After enrollment blood was collected at baseline, twice per week for the first six weeks, then weekly through twelve weeks for analysis of biomarkers GM and βDG. Clinical outcome was assessed for qualified participants at 6 and 12 weeks after initiation of antifungal treatment. For a given biomarker the Z-score is the difference from the mean of each individual SLSSL divided by the overall SD. The average Z-scores of the SLSSL for qualified participants is then calculated across all biomarkers, and used to derive the mean for R and NonR to antifungal therapy.
Week 1
Average of the Z-scores of the SLSSL Fitted to the Fungal Biomarkers GM and βDG Over the First Week of Treatment for R and NonR to Anti-fungal Treatment at Week 12.
Tidsramme: Week 1
After enrollment blood was collected at baseline, twice per week for the first six weeks, then weekly through twelve weeks for analysis of biomarkers GM and βDG. Clinical outcome was assessed for qualified participants at 6 and 12 weeks after initiation of antifungal treatment. For a given biomarker the Z-score is the difference from the mean of each individual SLSSL divided by the overall SD. The average Z-scores of the SLSSL for qualified participants is then calculated across all biomarkers, and used to derive the mean for R and NonR to antifungal therapy.
Week 1
Average of the Z-scores of the TWA of Fungal Biomarkers GM and βDG Over the First 6 Weeks of Treatment for R and NonR to Anti-fungal Treatment at Week 6.
Tidsramme: Weeks 1 through 6
After enrollment blood was collected at baseline, twice per week for the first six weeks, then weekly through twelve weeks for analysis of GM and βDG. Clinical outcome was assessed for qualified participants at 6 and 12 weeks after initiation of antifungal treatment. For a given biomarker the Z-score is the difference from the mean of each individual TWA divided by the overall SD. The average of the Z-scores of the TWA for qualified participants is then calculated across all biomarkers, and used to derive the mean for R and NonR to antifungal therapy.
Weeks 1 through 6
Average of the Z-scores of the TWA of Fungal Biomarkers GM and βDG Over the First 6 Weeks of Treatment for R and NonR to Anti-fungal Treatment at Week 12.
Tidsramme: Weeks 1 through 6
After enrollment blood was collected at baseline, twice per week for the first six weeks, then weekly through twelve weeks for analysis of GM and βDG. Clinical outcome was assessed for qualified participants at 6 and 12 weeks after initiation of antifungal treatment. For a given biomarker the Z-score is the difference from the mean of each individual TWA divided by the overall SD. The average of the Z-scores of the TWA for qualified participants is then calculated across all biomarkers, and used to derive the mean for R and NonR to antifungal therapy.
Weeks 1 through 6
Average of the Z-scores of the SLSSL Fitted to the Fungal Biomarkers GM and βDG Over the First 6 Weeks of Treatment for R and NonR to Anti-fungal Treatment at Week 6.
Tidsramme: Weeks 1 through 6
After enrollment blood was collected at baseline, twice per week for the first six weeks, then weekly through twelve weeks for analysis of biomarkers GM and βDG. Clinical outcome was assessed for qualified participants at 6 and 12 weeks after initiation of antifungal treatment. For a given biomarker the Z-score is the difference from the mean of each individual SLSSL divided by the overall SD. The average Z-scores of the SLSSL for qualified participants is then calculated across all biomarkers, and used to derive the mean for R and NonR to antifungal therapy.
Weeks 1 through 6
Average of the Z-scores of the SLSSL Fitted to the Fungal Biomarkers GM and βDG Over the First 6 Weeks of Treatment for R and NonR to Anti-fungal Treatment at Week 12.
Tidsramme: Weeks 1 through 6
After enrollment blood was collected at baseline, twice per week for the first six weeks, then weekly through twelve weeks for analysis of biomarkers GM and βDG. Clinical outcome was assessed for qualified participants at 6 and 12 weeks after initiation of antifungal treatment. For a given biomarker the Z-score is the difference from the mean of each individual SLSSL divided by the overall SD. The average Z-scores of the SLSSL for qualified participants is then calculated across all biomarkers, and used to derive the mean for R and NonR to antifungal therapy.
Weeks 1 through 6

Samarbeidspartnere og etterforskere

Det er her du vil finne personer og organisasjoner som er involvert i denne studien.

Publikasjoner og nyttige lenker

Den som er ansvarlig for å legge inn informasjon om studien leverer frivillig disse publikasjonene. Disse kan handle om alt relatert til studiet.

Studierekorddatoer

Disse datoene sporer fremdriften for innsending av studieposter og sammendragsresultater til ClinicalTrials.gov. Studieposter og rapporterte resultater gjennomgås av National Library of Medicine (NLM) for å sikre at de oppfyller spesifikke kvalitetskontrollstandarder før de legges ut på det offentlige nettstedet.

Studer hoveddatoer

Studiestart

1. mars 2009

Primær fullføring (Faktiske)

1. juni 2011

Studiet fullført (Faktiske)

1. august 2011

Datoer for studieregistrering

Først innsendt

27. februar 2009

Først innsendt som oppfylte QC-kriteriene

27. februar 2009

Først lagt ut (Anslag)

3. mars 2009

Oppdateringer av studieposter

Sist oppdatering lagt ut (Anslag)

21. august 2015

Siste oppdatering sendt inn som oppfylte QC-kriteriene

4. august 2015

Sist bekreftet

1. august 2015

Mer informasjon

Begreper knyttet til denne studien

Andre studie-ID-numre

  • 0000-089
  • 2009_553 (Annen identifikator: Merck)

Denne informasjonen ble hentet direkte fra nettstedet clinicaltrials.gov uten noen endringer. Hvis du har noen forespørsler om å endre, fjerne eller oppdatere studiedetaljene dine, vennligst kontakt register@clinicaltrials.gov. Så snart en endring er implementert på clinicaltrials.gov, vil denne også bli oppdatert automatisk på nettstedet vårt. .

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