American journal of infection control最新文献_第9页

Academic-practice partnership: Exploring a model for collaborative nursing education in infection prevention and control 学术实践伙伴关系：探索感染预防与控制护理合作教育模式。

IF 3.8 3区医学

American journal of infection control Pub Date : 2024-07-30 DOI: 10.1016/j.ajic.2024.07.016

Mary Lou Manning PhD, CRNP, CIC, APIC, FSHEA, FAAN , Kelly Zabriskie MLS, BS, CIC, FAPIC , Susan Egger PhD, MSN, RN , Mariann Kerr PhD, MSN, RN, PCCN-K, CNE , Julia Kay BFA, PMP , John Renzi DNP, MBA, RN, CCCTM, NE-BC

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The differential burden of 3 health care-associated infections on hospital costs and lengths of stay: A quasi-experimental case-control observation. 三种医疗相关感染对医院成本和住院时间造成的不同负担：准实验性病例对照观察。

IF 3.8 3区医学

American journal of infection control Pub Date : 2024-07-30 DOI: 10.1016/j.ajic.2024.07.014

Vamsi Yengudhati, Jennifer Gutowski, Shannon Glassman, Matthew Phillips, Stephany Frey, Melissa Bronstein, Maryrose Laguio-Vila, Emil Lesho

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Clusters of emerging multidrug-resistant organisms in US health care facilities during the initial months of the SARS-CoV-2 pandemic. SARS-CoV-2 大流行最初几个月美国医疗机构中新出现的耐多药生物群。

IF 3.8 3区医学

American journal of infection control Pub Date : 2024-07-30 DOI: 10.1016/j.ajic.2024.07.013

D Cal Ham, Ruoran Li, Tisha Mitsunaga, Christopher Czaja, Christopher Prestel, Sandeep Bhaurla, Melissa Cumming, Brenda Brennan, Gabriel Innes, Savannah Carrico, Allison Chan, Enyinnaya Merengwa, Anna Stahl, Belinda Ostrowsky, Marie A de Perio, Maroya Spalding Walters

{"title":"Clusters of emerging multidrug-resistant organisms in US health care facilities during the initial months of the SARS-CoV-2 pandemic.","authors":"D Cal Ham, Ruoran Li, Tisha Mitsunaga, Christopher Czaja, Christopher Prestel, Sandeep Bhaurla, Melissa Cumming, Brenda Brennan, Gabriel Innes, Savannah Carrico, Allison Chan, Enyinnaya Merengwa, Anna Stahl, Belinda Ostrowsky, Marie A de Perio, Maroya Spalding Walters","doi":"10.1016/j.ajic.2024.07.013","DOIUrl":"10.1016/j.ajic.2024.07.013","url":null,"abstract":"Background: Outbreaks of emerging multidrug-resistant organisms (eMDROs), including carbapenem-resistant Enterobacterales, carbapenem-resistant Acinetobacter baumannii, and Candida auris, have been reported among severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) patients. We describe eMDRO clusters in SARS-CoV-2 units and associated infection control (IC) practices early in the SARS-CoV-2 pandemic.Methods: We conducted a retrospective survey of a convenience sample of health departments in 11 states to describe clusters of eMDROs that began before November 1, 2020 and involved SARS-CoV-2 units. Cluster characteristics and IC practices during the cluster period were assessed using a standardized outbreak report form, and descriptive analyses were performed.Results: Overall, 18 eMDRO clusters (10 carbapenem-resistant Enterobacterales, 6 C auris, 1 carbapenem-resistant Pseudomonas aeruginosa, and 1 carbapenem-resistant A baumannii) in 18 health care facilities involving 397 patients were reported from 10 states. During the cluster period, 60% of facilities reported a shortage of isolation gowns, 69% extended use of gowns, and 67% reported difficulty obtaining preferred disinfectants. Reduced frequency of hand hygiene audits was reported in 85% of acute care hospitals during the cluster period compared with before the pandemic.Conclusions: Changes in IC practices and supply shortages were identified in facilities with eMDRO outbreaks during the SARS-CoV-2 pandemic and might have contributed to eMDRO transmission.","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141873873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bloodstream infection: Derivation and validation of a reliable and multidimensional prognostic score based on a machine learning model (BLISCO). 血流感染：基于机器学习模型（BLISCO）的可靠多维预后评分的推导与验证。

IF 3.8 3区医学

American journal of infection control Pub Date : 2024-07-26 DOI: 10.1016/j.ajic.2024.07.011

Marta Camici, Benedetta Gottardelli, Tommaso Novellino, Carlotta Masciocchi, Silvia Lamonica, Rita Murri

{"title":"Bloodstream infection: Derivation and validation of a reliable and multidimensional prognostic score based on a machine learning model (BLISCO).","authors":"Marta Camici, Benedetta Gottardelli, Tommaso Novellino, Carlotta Masciocchi, Silvia Lamonica, Rita Murri","doi":"10.1016/j.ajic.2024.07.011","DOIUrl":"10.1016/j.ajic.2024.07.011","url":null,"abstract":"Background: A bloodstream infection (BSI) prognostic score applicable at the time of blood culture collection is missing.Methods: In total, 4,327 patients with BSIs were included, divided into a derivation (80%) and a validation dataset (20%). Forty-two variables among host-related, demographic, epidemiological, clinical, and laboratory extracted from the electronic health records were analyzed. Logistic regression was chosen for predictive scoring.Results: The 14-day mortality model included age, body temperature, blood urea nitrogen, respiratory insufficiency, platelet count, high-sensitive C-reactive protein, and consciousness status: a score of ≥ 6 was correlated to a 14-day mortality rate of 15% with a sensitivity of 0.742, a specificity of 0.727, and an area under the curve of 0.783. The 30-day mortality model further included cardiovascular diseases: a score of ≥ 6 predicting 30-day mortality rate of 15% with a sensitivity of 0.691, a specificity of 0.699, and an area under the curve of 0.697.Conclusions: A quick mortality score could represent a valid support for prognosis assessment and resources prioritizing for patients with BSIs not admitted in the intensive care unit.","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141787019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Consumer perspectives on antibiotic use in residential aged care: A mixed-methods systematic review. 消费者对养老院抗生素使用的看法：混合方法系统综述。

IF 3.8 3区医学

American journal of infection control Pub Date : 2024-07-25 DOI: 10.1016/j.ajic.2024.07.008

Rajendra Gyawali, Sarah Gamboa, Kathleen Rolfe, Johanna I Westbrook, Magdalena Z Raban

{"title":"Consumer perspectives on antibiotic use in residential aged care: A mixed-methods systematic review.","authors":"Rajendra Gyawali, Sarah Gamboa, Kathleen Rolfe, Johanna I Westbrook, Magdalena Z Raban","doi":"10.1016/j.ajic.2024.07.008","DOIUrl":"10.1016/j.ajic.2024.07.008","url":null,"abstract":"Background: Aged care staff and doctors frequently highlight consumers' role in antibiotic treatment decisions. However, few studies include consumers. This study aimed to investigate consumer perspectives on antibiotic use in residential aged care.Methods: A search across 6 online databases yielded 3,373 studies, with 5 meeting inclusion criteria. Participant quotes, themes, statistical analyses, and authors' interpretive summaries in the included studies were inductively coded and refined to generate themes.Results: Three themes emerged: perception of benefits and risks of antibiotics, perceived role in antibiotic treatment decision-making, and information-communication needs. Consumers held positive attitudes toward antibiotics, did not associate antibiotics with the exclusive treatment of bacterial infections, and had limited awareness of potential risks, such as antibiotic resistance. Studies showed diverse perceptions regarding residents' and their families' involvement in antibiotic treatment decision-making with some residents actively seeking antibiotics and others trusting doctors to decide. Studies also described consumer need for effective provider-consumer communication and information sharing that was affected by contextual barriers such as motivation, preferences, available information resources, and provider attitudes.Conclusions: Limited literature is available on consumer perspectives on antibiotic use in aged care. The review highlights that consumer needs are more complex than simply wanting an antibiotic. Antimicrobial stewardship programs should target consumer awareness, beliefs, and provider-consumer communication to enhance antibiotic use in aged care.","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141787020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction models for the risk of ventilator-associated pneumonia in patients on mechanical ventilation: A systematic review and meta-analysis. 机械通气患者呼吸机相关肺炎风险预测模型：系统回顾和荟萃分析。

IF 3.8 3区医学

American journal of infection control Pub Date : 2024-07-25 DOI: 10.1016/j.ajic.2024.07.006

Jiaying Li, Guifang Li, Ziqing Liu, Xingyu Yang, Qiuyan Yang

{"title":"Prediction models for the risk of ventilator-associated pneumonia in patients on mechanical ventilation: A systematic review and meta-analysis.","authors":"Jiaying Li, Guifang Li, Ziqing Liu, Xingyu Yang, Qiuyan Yang","doi":"10.1016/j.ajic.2024.07.006","DOIUrl":"10.1016/j.ajic.2024.07.006","url":null,"abstract":"Background: Identifying patients at risk of ventilator-associated pneumonia through prediction models can facilitate medical decision-making. Our objective was to evaluate the current models for ventilator-associated pneumonia in patients with mechanical ventilation.Methods: Nine databases systematically retrieved from establishment to March 6, 2024. Two independent reviewers performed study selection, data extraction, and quality assessment, respectively. The Prediction Model Risk of Bias Assessment Tool was used to evaluate the risk of model bias and applicability. Stata 17.0 was used to conduct a meta-analysis of discrimination of model validation.Results: The total of 34 studies were included, with reported 52 prediction models. The most frequent predictors in the models were mechanical ventilation duration, length of intensive care unit stay, and age. Each study was essentially considered having a high risk of bias. A meta-analysis of 17 studies containing 33 models with validation was performed with a pooled area under the receiver-operating curve of 0.80 (95% confidence interval: 0.78-0.83).Conclusions: Despite the relatively excellent performance of the models, there is a high risk of bias of the model development process. Enhancing the methodological quality, especially the external validation, practical application, and optimization of the models need urgent attention.","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141722869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A multicentric outbreak of Candida auris in Mexico: 2020 to 2023. 墨西哥爆发多中心念珠菌疫情：2020-2023 年。

IF 3.8 3区医学

American journal of infection control Pub Date : 2024-07-24 DOI: 10.1016/j.ajic.2024.07.012

Patricia Rodríguez-de la Garza, Carlos de la Cruz-de la Cruz, José Iván Castillo Bejarano, Alicia Estela López Romo, Jorge Vera Delgado, Beatriz Aguilar Ramos, Mirna Natalia Martínez Neira, Daniel Siller Rodríguez, Héctor Mauricio Sánchez Rodríguez, Omar Alejandro Rangel Selvera

{"title":"A multicentric outbreak of Candida auris in Mexico: 2020 to 2023.","authors":"Patricia Rodríguez-de la Garza, Carlos de la Cruz-de la Cruz, José Iván Castillo Bejarano, Alicia Estela López Romo, Jorge Vera Delgado, Beatriz Aguilar Ramos, Mirna Natalia Martínez Neira, Daniel Siller Rodríguez, Héctor Mauricio Sánchez Rodríguez, Omar Alejandro Rangel Selvera","doi":"10.1016/j.ajic.2024.07.012","DOIUrl":"10.1016/j.ajic.2024.07.012","url":null,"abstract":"Background: Candida auris, an emerging multidrug-resistant yeast, has become a global concern due to its association with nosocomial outbreaks and resistance to antifungal medications. The COVID-19 pandemic has exacerbated the situation, with several outbreaks reported worldwide, including in Mexico. We describe the clinical and microbiological characteristics of a multicentric outbreak in private institutions in Mexico.Methods: A retrospective observational study was conducted across 4 Christus Muguerza Hospital Health Care System facilities in Monterrey, Mexico, where simultaneous outbreaks of C auris occurred. Patients with colonization or infection with C auris between September 2020 and December 2023 were included.Results: Analysis revealed 37 cases, predominantly male (median age, 55.8years). While most cases were initially colonization, a significant proportion progressed to infection (32.4%). Patients with documented infection had longer intensive care unit and hospital stays, often requiring mechanical ventilation. Antifungal treatment varied, with empirical fluconazole being the first drug in most cases, followed by anidulafungin and caspofungin. Resistance to fluconazole was widespread, but susceptibility to other antifungals varied. The overall mortality rates were high (40.5%), with no significant difference in median survival between colonized and infected patients.Conclusions: We reported a high rate of infection in previously colonized cases associated with longer hospital lenght stay, and a high susceptibility to echinocandins.","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141764830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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SARS-CoV-2 surveillance testing and isolation management of immunocompromised patients: Survey results from 13 health care centers in the United States. SARS-CoV-2 监控测试和免疫力低下患者的隔离管理 - 来自美国 13 家医疗保健中心的调查结果。

IF 3.8 3区医学

American journal of infection control Pub Date : 2024-07-23 DOI: 10.1016/j.ajic.2024.07.010

Anoshé Aslam, Mini Kamboj, Tania Bubb

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APIC Masthead 亚太信息中心刊头

IF 3.8 3区医学

American journal of infection control Pub Date : 2024-07-19 DOI: 10.1016/S0196-6553(24)00569-8

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Information for Readers 读者信息

IF 3.8 3区医学

American journal of infection control Pub Date : 2024-07-19 DOI: 10.1016/S0196-6553(24)00570-4

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