American journal of infection control最新文献

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IF 3.8 3区医学

American journal of infection control Pub Date : 2025-04-15 DOI: 10.1016/S0196-6553(25)00262-7

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IF 3.8 3区医学

American journal of infection control Pub Date : 2025-04-15 DOI: 10.1016/S0196-6553(25)00264-0

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Enhancing COVID-19 safety in vulnerable populations: Supporting additional measures for inpatient psychiatric facilities

IF 3.8 3区医学

American journal of infection control Pub Date : 2025-04-15 DOI: 10.1016/j.ajic.2024.10.030

Hunter Young RN, BSN, CCRN

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IF 3.8 3区医学

American journal of infection control Pub Date : 2025-04-15 DOI: 10.1016/S0196-6553(25)00263-9

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Cautioning the early removal of airborne isolation in patients with polymerase chain reaction negative Mycobacterium tuberculosis

IF 3.8 3区医学

American journal of infection control Pub Date : 2025-04-15 DOI: 10.1016/j.ajic.2024.12.008

Michael A. Goulart MPH, CIC

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Empowering patients through a perioperative prevention bundle to reduce surgical site infections in colorectal surgery.

IF 3.8 3区医学

American journal of infection control Pub Date : 2025-04-03 DOI: 10.1016/j.ajic.2025.03.151

Vladimir Nikolic, Ljiljana Markovic-Denic, Stefan Kmezic, Aleksandar Radovanovic, Djordje Nektarijevic, Jelena Djokic-Kovac, Djordje Knezevic, Andrija Antic

{"title":"Empowering patients through a perioperative prevention bundle to reduce surgical site infections in colorectal surgery.","authors":"Vladimir Nikolic, Ljiljana Markovic-Denic, Stefan Kmezic, Aleksandar Radovanovic, Djordje Nektarijevic, Jelena Djokic-Kovac, Djordje Knezevic, Andrija Antic","doi":"10.1016/j.ajic.2025.03.151","DOIUrl":"https://doi.org/10.1016/j.ajic.2025.03.151","url":null,"abstract":"Background: Surgical site infections (SSIs) are a significant complication in colorectal surgery, with rates ranging from 5.4% to 30%. This study aimed to evaluate the impact of a perioperative prevention bundle on SSI incidence in colorectal surgery.Methods: A prospective cohort study with a before-after analysis was conducted from April 2022 to April 2023. The intervention included patient education, preoperative and postoperative chlorhexidine bathing, and mandatory glove change before fascial closure.Results: The implementation of the perioperative prevention bundle resulted in a significant reduction in the overall SSI rate, from 18.5% to 3.8% (p = 0.016). Superficial SSIs were decreased from 11.1% to 0% (p = 0.012) while reductions in deep and organ-space SSIs were not statistically significant. Additionally, rehospitalization rates within 30 days dropped from 14.0% to 2.0% (p = 0.029). The intervention achieved full compliance among patients and staff.Discussion: The individualized approach likely contributed to high compliance, potentially enabling patients to take a more active role in their care. Further research is needed to address the challenges associated with deep and organ-space infections.Conclusions: The implementation of a perioperative prevention bundle, emphasizing patient education and engagement, effectively reduced the incidence of SSIs and rehospitalization rates following colorectal surgery.","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143787450","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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Corrigendum to "High prevalence and genetic diversity of multidrug-resistant and extended-spectrum ß-lactamase-producing Escherichia coli and Klebsiella pneumoniae in mothers and neonates in a Cameroonian labor ward" [Am J Infect Control. 2024;1273-1282].

IF 3.8 3区医学

American journal of infection control Pub Date : 2025-04-02 DOI: 10.1016/j.ajic.2025.03.014

Axelle Njeuna, Luria Leslie Founou, Raspail Carrel Founou, Patrice Landry Koudoum, Aurelia Mbossi, Ariel Blocker, Stephen D Bentley, Lucien Etame Sone

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Morbidity and absenteeism due to SARS-CoV-2 and seasonal influenza in health care personnel during the 2023 to 2024 season: A multicenter cohort study in Greece.

IF 3.8 3区医学

American journal of infection control Pub Date : 2025-03-28 DOI: 10.1016/j.ajic.2025.03.149

Helena C Maltezou, Maria N Gamaletsou, Theodoros V Giannouchos, Dimitra-Maria Koukou, Flora Sourri, Nikolaos Lemonakis, Amalia Karapanou, Sofia Zerva, Athanasia Lourida, Periklis Panagopoulos, Dimitrios Hatzigeorgiou, Nikolaos V Sipsas

{"title":"Morbidity and absenteeism due to SARS-CoV-2 and seasonal influenza in health care personnel during the 2023 to 2024 season: A multicenter cohort study in Greece.","authors":"Helena C Maltezou, Maria N Gamaletsou, Theodoros V Giannouchos, Dimitra-Maria Koukou, Flora Sourri, Nikolaos Lemonakis, Amalia Karapanou, Sofia Zerva, Athanasia Lourida, Periklis Panagopoulos, Dimitrios Hatzigeorgiou, Nikolaos V Sipsas","doi":"10.1016/j.ajic.2025.03.149","DOIUrl":"10.1016/j.ajic.2025.03.149","url":null,"abstract":"Background: To assess the morbidity and absenteeism due to SARS-CoV-2 infection or influenza among health care personnel (HCP) in Greece in 2023 to 2024.Methods: We followed 5,871 HCP from November 2023 to May 2024. A multivariable regression was used to estimate the association between length of absenteeism, HCP characteristics, and type of infection.Results: There were 759 episodes of absenteeism during the study period. The mean duration of absence per episode was 4.5days and the total duration of absence was 3,434days. COVID-19 was diagnosed in 507 (8.6%) HCP, asymptomatic SARS-CoV-2 infection in 10 (0.2%) HCP, and influenza in 88 (1.5%). COVID-19, influenza, and asymptomatic SARS-CoV-2 infection accounted for 66.8%, 11.6%, and 1.3% of episodes of absenteeism, respectively. Overall, SARS-CoV-2 infection and influenza accounted for 76.5% and 9.7% of total days missed, respectively. Presenteeism was recorded in 113 (14.9%) HCP. The multivariable regression model found that having SARS-CoV-2 infection and having at least 1 comorbidity were associated with a mean of 1.76 and 0.25 more days of work absence compared with those with no SARS-CoV-2 infection and no comorbidity, respectively (confidence intervals: 1.55-1.98 and 0.05-0.46, respectively).Conclusions: COVID-19 remains the major driver of absenteeism among HCP.","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143750712","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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Acknowledging the Gaps in Endoscope Reprocessing - A Call for Research to Inform Real-World Practice.

IF 3.8 3区医学

American journal of infection control Pub Date : 2025-03-28 DOI: 10.1016/j.ajic.2025.03.150

Frankie Catalfumo, Ria Gupta, Rebecca Crapanzano-Sigafoos

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Artificial intelligence (AI) use for personal protective equipment training, remediation, and education in health care.

IF 3.8 3区医学

American journal of infection control Pub Date : 2025-03-25 DOI: 10.1016/j.ajic.2025.03.020

Veronica Preda, Zehurn Ong, Chandana Wijeweera, Terence Carney, Robyn Clay-Williams, Denuka Kankanamge, Tamara Preda, Ioannis Kopsidas, Michael Keith Wilson

{"title":"Artificial intelligence (AI) use for personal protective equipment training, remediation, and education in health care.","authors":"Veronica Preda, Zehurn Ong, Chandana Wijeweera, Terence Carney, Robyn Clay-Williams, Denuka Kankanamge, Tamara Preda, Ioannis Kopsidas, Michael Keith Wilson","doi":"10.1016/j.ajic.2025.03.020","DOIUrl":"10.1016/j.ajic.2025.03.020","url":null,"abstract":"Background: Personal protective equipment (PPE) is a first-line transmission-based precaution for reducing the spread of nosocomial infections between health care workers (HCWs), patients, and staff. The COVID-19 pandemic highlighted a problematic skill gap in effective PPE donning/doffing.Methods: We performed a single-center, mixed-methods, prospective cohort study of 293 HCWs in Sydney, Australia. Participants were assessed using SXR AI-PPE, an artificial intelligence (AI) system that autonomously evaluates donning/doffing of PPE while providing real-time feedback on user technique.Results: Longitudinal results showed improved accuracy rates for correct donning/doffing after each guided session conducted at 3-monthly intervals, with a 100% accuracy rate for correct use of PPE after 2 guided sessions. These improvements were maintained with 3-monthly training sessions.Conclusions: The SXR AI-PPE platform is a comprehensive tool capable of training PPE donning/doffing by HCWs in real time with implications for reducing PPE contamination and risk of nosocomial infections.","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143727511","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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