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1818. A Network Meta-Analysis of Antibiotic Efficacy for the Treatment of Skin and Soft Tissue Infections

BACKGROUND: Skin and soft tissue infections (SSTIs) are very common bacterial infections. Numerous clinical trials have compared antibiotics for SSTI treatment. However, trials typically have non-inferiority designs that give little insight as to which antibiotic classes have superior efficacy. METH...

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Autores principales: Go-Wheeler, Marianne, Mann, Sarah C, Hean, Sindalisa, Schwartz, Matthew H, Pham, Ann, Judge, Stephen, Kang, Amy Y, Lee, Pamela, Gil, Raul Macias, Launer, Bryn M, Tao, Li, Miller, Elliot I, Flores, Evelyn A, Nguyen, Megan H, Yeh, Maddie, Speciale, Christiana, Miller, Loren G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10677014/
http://dx.doi.org/10.1093/ofid/ofad500.1647
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author Go-Wheeler, Marianne
Mann, Sarah C
Hean, Sindalisa
Schwartz, Matthew H
Pham, Ann
Judge, Stephen
Kang, Amy Y
Lee, Pamela
Gil, Raul Macias
Launer, Bryn M
Tao, Li
Miller, Elliot I
Flores, Evelyn A
Nguyen, Megan H
Yeh, Maddie
Speciale, Christiana
Miller, Loren G
author_facet Go-Wheeler, Marianne
Mann, Sarah C
Hean, Sindalisa
Schwartz, Matthew H
Pham, Ann
Judge, Stephen
Kang, Amy Y
Lee, Pamela
Gil, Raul Macias
Launer, Bryn M
Tao, Li
Miller, Elliot I
Flores, Evelyn A
Nguyen, Megan H
Yeh, Maddie
Speciale, Christiana
Miller, Loren G
author_sort Go-Wheeler, Marianne
collection PubMed
description BACKGROUND: Skin and soft tissue infections (SSTIs) are very common bacterial infections. Numerous clinical trials have compared antibiotics for SSTI treatment. However, trials typically have non-inferiority designs that give little insight as to which antibiotic classes have superior efficacy. METHODS: We performed a systematic literature review and a network meta-analysis of published SSTI treatment trials. Using standardized key words, we searched PubMed and Embase for SSTI clinical trials published from 1/1/66 to 5/31/22. We excluded trials on diabetic foot infections, non-generalizable populations (e.g., burn associated), and studies with outcomes not involving clinical resolution or cure. Abstracts with relevant clinical trial data were pulled and, if inclusion criteria met, had manuscript data abstracted. Two reviewers independently performed abstract and manuscripts reviews and data abstraction. For the network meta-analyses, the comparator antibiotic class was glycopeptides. Two analyses were performed using intention to treat (ITT) and clinically evaluable (CE) populations. Clinical trial quality was measured using the PEDro score. RESULTS: We reviewed 5,469 abstracts, of which 260 were pulled for data abstraction and 93 contained analyzable trial data (Fig. 1). Clinical trial quality varied widely (PEDro score range 2-10, median 8). We identified 26 analyzable antibiotic classes or combinations for comparison. In the ITT model, cure rate for oxazolidinones (OR 1.28 [95% CI 1.10-1.49]), flucloxacillin plus clindamycin (OR 1.61 [95% CI 1.03-2.53]), lipopeptides (OR 1.66 [95% CI 1.04-2.66]), and tetracyclines OR 1.69 [95% CI 1.24-2.30]), significantly differed from glycopeptides. (Fig. 2) In the CE model, cure rate for oxazolidinones (OR 1.29 [95% CI 1.01-1.64]) and tetracyclines (OR 2.05 [95% CI 1.37-3.06]) significantly differed. [Figure: see text] [Figure: see text] CONCLUSION: We found that most (22/26) antibiotic classes or combinations used for SSTI treatment had similar efficacy to glycopeptides. However, oxazolidinones, lipopeptides, flucloxacillin plus clindamycin, and tetracyclines may have superior efficacy compared to glycopeptides. Treatment guidelines may wish to favor these latter classes for patients at high risk of treatment failure. DISCLOSURES: Amy Y. Kang, Pharm.D., BCIDP, Paratek: Grant/Research Support Elliot I. Miller, BS, Epic Systems, Verona, WI: Employee Loren G. Miller, MD MPH, ContraFect: Grant/Research Support|GSK: Grant/Research Support|Medline: Grant/Research Support|Merck: Grant/Research Support|Paratek: Grant/Research Support
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spelling pubmed-106770142023-11-27 1818. A Network Meta-Analysis of Antibiotic Efficacy for the Treatment of Skin and Soft Tissue Infections Go-Wheeler, Marianne Mann, Sarah C Hean, Sindalisa Schwartz, Matthew H Pham, Ann Judge, Stephen Kang, Amy Y Lee, Pamela Gil, Raul Macias Launer, Bryn M Tao, Li Miller, Elliot I Flores, Evelyn A Nguyen, Megan H Yeh, Maddie Speciale, Christiana Miller, Loren G Open Forum Infect Dis Abstract BACKGROUND: Skin and soft tissue infections (SSTIs) are very common bacterial infections. Numerous clinical trials have compared antibiotics for SSTI treatment. However, trials typically have non-inferiority designs that give little insight as to which antibiotic classes have superior efficacy. METHODS: We performed a systematic literature review and a network meta-analysis of published SSTI treatment trials. Using standardized key words, we searched PubMed and Embase for SSTI clinical trials published from 1/1/66 to 5/31/22. We excluded trials on diabetic foot infections, non-generalizable populations (e.g., burn associated), and studies with outcomes not involving clinical resolution or cure. Abstracts with relevant clinical trial data were pulled and, if inclusion criteria met, had manuscript data abstracted. Two reviewers independently performed abstract and manuscripts reviews and data abstraction. For the network meta-analyses, the comparator antibiotic class was glycopeptides. Two analyses were performed using intention to treat (ITT) and clinically evaluable (CE) populations. Clinical trial quality was measured using the PEDro score. RESULTS: We reviewed 5,469 abstracts, of which 260 were pulled for data abstraction and 93 contained analyzable trial data (Fig. 1). Clinical trial quality varied widely (PEDro score range 2-10, median 8). We identified 26 analyzable antibiotic classes or combinations for comparison. In the ITT model, cure rate for oxazolidinones (OR 1.28 [95% CI 1.10-1.49]), flucloxacillin plus clindamycin (OR 1.61 [95% CI 1.03-2.53]), lipopeptides (OR 1.66 [95% CI 1.04-2.66]), and tetracyclines OR 1.69 [95% CI 1.24-2.30]), significantly differed from glycopeptides. (Fig. 2) In the CE model, cure rate for oxazolidinones (OR 1.29 [95% CI 1.01-1.64]) and tetracyclines (OR 2.05 [95% CI 1.37-3.06]) significantly differed. [Figure: see text] [Figure: see text] CONCLUSION: We found that most (22/26) antibiotic classes or combinations used for SSTI treatment had similar efficacy to glycopeptides. However, oxazolidinones, lipopeptides, flucloxacillin plus clindamycin, and tetracyclines may have superior efficacy compared to glycopeptides. Treatment guidelines may wish to favor these latter classes for patients at high risk of treatment failure. DISCLOSURES: Amy Y. Kang, Pharm.D., BCIDP, Paratek: Grant/Research Support Elliot I. Miller, BS, Epic Systems, Verona, WI: Employee Loren G. Miller, MD MPH, ContraFect: Grant/Research Support|GSK: Grant/Research Support|Medline: Grant/Research Support|Merck: Grant/Research Support|Paratek: Grant/Research Support Oxford University Press 2023-11-27 /pmc/articles/PMC10677014/ http://dx.doi.org/10.1093/ofid/ofad500.1647 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstract
Go-Wheeler, Marianne
Mann, Sarah C
Hean, Sindalisa
Schwartz, Matthew H
Pham, Ann
Judge, Stephen
Kang, Amy Y
Lee, Pamela
Gil, Raul Macias
Launer, Bryn M
Tao, Li
Miller, Elliot I
Flores, Evelyn A
Nguyen, Megan H
Yeh, Maddie
Speciale, Christiana
Miller, Loren G
1818. A Network Meta-Analysis of Antibiotic Efficacy for the Treatment of Skin and Soft Tissue Infections
title 1818. A Network Meta-Analysis of Antibiotic Efficacy for the Treatment of Skin and Soft Tissue Infections
title_full 1818. A Network Meta-Analysis of Antibiotic Efficacy for the Treatment of Skin and Soft Tissue Infections
title_fullStr 1818. A Network Meta-Analysis of Antibiotic Efficacy for the Treatment of Skin and Soft Tissue Infections
title_full_unstemmed 1818. A Network Meta-Analysis of Antibiotic Efficacy for the Treatment of Skin and Soft Tissue Infections
title_short 1818. A Network Meta-Analysis of Antibiotic Efficacy for the Treatment of Skin and Soft Tissue Infections
title_sort 1818. a network meta-analysis of antibiotic efficacy for the treatment of skin and soft tissue infections
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10677014/
http://dx.doi.org/10.1093/ofid/ofad500.1647
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