Big Data- Epidemiology of Antimicrobial Resistance

大数据-抗菌药物耐药性流行病学

基本信息

  • 批准号:
    10923700
  • 负责人:
  • 金额:
    --
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
  • 资助国家:
    美国
  • 起止时间:
  • 项目状态:
    未结题

项目摘要

Co-resistance necessitating use of less effective or relatively toxic reserve antibiotics (aminoglycosides, tigecycline and colistin/polymyxin B) may worsen survival. We investigated difficult-to-treat resistance (DTR) in gram-negative bloodstream infections (GNBSIs) defined by absence of susceptibility to all first-line agents (carbapenems, beta-lactams and fluoroquinolones (FQ) using a large clinical database of US hospitals. We found that survival in antimicrobial-resistant GNBSI is highly contingent on presence of active first-line option(s); DTR limits treatment options to reserve agents, including aminoglycosides, which are far from universally active. DTR remained infrequent (1%) among GNBSI, but occurred at half of the hospitals examined and across all US regions. This work has been presented at the Annual Meetings of the Infectious Diseases Society of America and Society of Critical Care Medicine.We went on to validate our findings using the Cerner Health facts repository of electronic health records. As part of the NIH Antimicrobial Resistance Outcomes Research Initiative (NIH-ARORI), we also went on to study the landscape of emerging antibiotics to understand their real-world use and demand. We found that ceftazidime-avibactam use increased several fold replacing colistin use, however overall use was still modest. As part of an FDA-funded initiative, we determined that treatment opportunities for difficult-to-treat antibiotic resistant pathogens in US hospitals remain small, suggesting that non-revenue based strategies might be necessary to sustain antibiotic development. As part of work that is funded in part by the FDA, we conducted analyses on the relationship between minimum inhibitory concentration and outcomes for two key pathogen antibiotic combinations to determine whether existing breakpoints for those combinations set by standards development organizations warrant revision. We also conducted a study to determine the inpatient utilization of novel antibiotics against DTR pathogens as well as understand the current residual market size for other future novel antibiotics. This manuscript is under review at a journal. We believe this work will inform ongoing efforts to substantiate non revenue based strategies to sustain the antibiotic development industry. As part of the NIH Antimicrobial Resistance Outcomes Research Initiative (NIH-ARORI), we determined that one in every five patients with bloodstream infection in US hospitals receives empiric antibiotic therapy that is discordant with in vitro susceptibilities. This practice was prevalent and similar across hospital types. Bacteremic patients who received in vitro-discordant empiric therapy displayed a higher mortality risk than recipients of concordant therapy. S. aureus and Enterobacterales and their resistance phenotypes account for the overwhelming majority of burden and impact of in vitro-discordant therapy, warranting development and wide implementation of effective rapid point-of-care diagnostics, especially those targeting these pathogens and their resistance phenotypes. We also conducted a study to compare the clinical effectiveness of trimethoprim sulfamethoxazole versus levofloxacin for Stenotrophomonas maltophilia infections and found that both performed relatively comparably, suggesting there is equipoise for a future trial comparing these agents. We also studied the prevalence of ICU-onset BSI, the distribution of pathogens and their antibiotic resistance phenotypes and determined risk factors for the acquisition of these infections. We found that ICU-onset BSI represent serious infection that display a unique pathogen and resistance profile compared to BSI that necessitates admission to the ICU. In collaboration with the investigators at the Harvard Department of Population Medicine, we used larger electronic health record data from over a hundred U.S. hospitals and determined that despite the extensive use of broad-spectrum empiric antibiotic therapy for community-onset sepsis, the prevalence of antibiotic resistant pathogens warranting such therapy is small. Rapid diagnostics targeting resistance phenotypes may have a role in enhancing antibiotic stewardship in sepsis.
需要使用效果较差或毒性相对较弱的备用抗生素(氨基糖苷类、替加环素和粘菌素/多粘菌素B)的共同耐药可能使生存恶化。我们使用美国医院的大型临床数据库调查了革兰氏阴性血流感染(gnbsi)中难以治疗的耐药(DTR),这种感染的定义是对所有一线药物(碳青霉烯类、β -内酰胺类和氟喹诺酮类药物(FQ)缺乏敏感性。我们发现,耐药GNBSI患者的生存高度取决于是否存在积极的一线选择;DTR限制了治疗选择的储备药物,包括氨基糖苷类,这远远不是普遍有效的。在GNBSI中,DTR仍然不常见(1%),但在接受检查的一半医院和所有美国地区都有发生。这项工作已在美国传染病学会和重症医学学会年会上发表。我们继续使用电子健康记录的Cerner Health事实存储库验证我们的发现。

项目成果

期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Early Discontinuation of Antibiotics in Patients Admitted With Clinically Suspected Serious Infection but Negative Cultures: Retrospective Cohort Study of Practice Patterns and Outcomes at 111 US Hospitals.
入院临床疑似严重感染但培养阴性的患者早期停用抗生素:美国 111 家医院实践模式和结果的回顾性队列研究。
  • DOI:
    10.1093/ofid/ofad286
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    4.2
  • 作者:
    Kadri,SameerS;Warner,Sarah;Rhee,Chanu;Klompas,Michael;Follmann,Dean;Swihart,BruceJ;Laxminarayan,Ramanan;Klein,Eili;NIH–AntimicrobialResistanceOutcomesResearchInitiative
  • 通讯作者:
    NIH–AntimicrobialResistanceOutcomesResearchInitiative
Comparative effectiveness research in critically ill patients: risks associated with mischaracterising usual care.
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Sameer Kadri其他文献

Sameer Kadri的其他文献

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{{ truncateString('Sameer Kadri', 18)}}的其他基金

Big Data- Epidemiology of Antimicrobial Resistance
大数据-抗菌药物耐药性流行病学
  • 批准号:
    10250942
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
Big Data - Epidemiology of Critical Illness and Sepsis
大数据——危重疾病和败血症的流行病学
  • 批准号:
    10923699
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
Big Data- Epidemiology of Antimicrobial Resistance
大数据-抗菌药物耐药性流行病学
  • 批准号:
    10473359
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
Big Data - Epidemiology of Critical Illness and Sepsis
大数据——危重疾病和败血症的流行病学
  • 批准号:
    10473358
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
Big Data - Epidemiology of Critical Illness and Sepsis
大数据——危重疾病和败血症的流行病学
  • 批准号:
    10250941
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:

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修饰氨基糖苷类药物的耳毒性
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  • 财政年份:
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  • 资助金额:
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通过 miRNA 靶向降低耳毒性的氨基糖苷类药物
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氨基糖苷类表面等离激元共振的纳米生物捕获剂
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  • 财政年份:
    2016
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    --
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降低耳毒性的氨基糖苷类
  • 批准号:
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  • 财政年份:
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设计新的氨基糖苷类药物以减轻内耳毒性
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