Valeria Fox, Davide Mangioni, Silvia Renica, Agnese Comelli, Antonio Teri, Michela Zatelli, Beatrice Silvia Orena, Cristina Scuderi, Annalisa Cavallero, Marianna Rossi, Maddalena Casana, Ludovica Mela, Alessandra Bielli, Rossana Scutari, Paola Morelli, Lisa Cariani, Erminia Casari, Chiara Silvia Vismara, Caterina Matinato, Annapaola Callegaro, Barbara Bottazzi, Barbara Cassani, Carlo Federico Perno, Andrea Gori, Antonio Muscatello, Alessandra Bandera, Claudia Alteri
{"title":"Genomic characterization of Klebsiella pneumoniae carbapenemase-producing Klebsiella pneumoniae (KPC-Kp) strains circulating in three university hospitals in Northern Italy over three years.","authors":"Valeria Fox, Davide Mangioni, Silvia Renica, Agnese Comelli, Antonio Teri, Michela Zatelli, Beatrice Silvia Orena, Cristina Scuderi, Annalisa Cavallero, Marianna Rossi, Maddalena Casana, Ludovica Mela, Alessandra Bielli, Rossana Scutari, Paola Morelli, Lisa Cariani, Erminia Casari, Chiara Silvia Vismara, Caterina Matinato, Annapaola Callegaro, Barbara Bottazzi, Barbara Cassani, Carlo Federico Perno, Andrea Gori, Antonio Muscatello, Alessandra Bandera, Claudia Alteri","doi":"10.1186/s13756-024-01429-x","DOIUrl":"10.1186/s13756-024-01429-x","url":null,"abstract":"<p><strong>Objectives: </strong>Genomic surveillance of Klebsiella pneumoniae carbapenemase-producing Klebsiella pneumoniae (KPC-Kp) is crucial for virulence, drug-resistance monitoring, and outbreak containment.</p><p><strong>Methods: </strong>Genomic analysis on 87 KPC-Kp strains isolated from 3 Northern Italy hospitals in 2019-2021 was performed by whole genome sequencing (WGS), to characterize resistome, virulome, and mobilome, and to assess potential associations with phenotype resistance and clinical presentation. Maximum Likelihood and Minimum Spanning Trees were used to determine strain correlations and identify potential transmission clusters.</p><p><strong>Results: </strong>Overall, 15 different STs were found; the predominant ones included ST307 (35, 40.2%), ST512/1519 (15, 17.2%), ST20 (12, 13.8%), and ST101 (7, 8.1%). 33 (37.9%) KPC-Kp strains were noticed to be in five transmission clusters (median number of isolates in each cluster: 5 [3-10]), four of them characterized by intra-hospital transmission. All 87 strains harbored Tn4401a transposon, carrying bla<sub>KPC-3</sub> (48, 55.2%), bla<sub>KPC-2</sub> (38, 43.7%), and in one case (1.2%) bla<sub>KPC-33,</sub> the latter gene conferred resistance to ceftazidime/avibactam (CZA). Thirty strains (34.5%) harbored porin mutations; of them, 7 (8.1%) carried multiple Tn4401a copies. These strains were characterized by significantly higher CZA minimum inhibitory concentration compared with strains with no porin mutations or single Tn4401a copy, respectively, even if they did not overcome the resistance breakpoint of 8 ug/mL. Median 2 (IQR:1-2) virulence factors per strain were detected. The lowest number was observed in ST20 compared to the other STs (p<0.001). While ST307 was associated with infection events, a trend associated with colonization events could be observed for ST20.</p><p><strong>Conclusions: </strong>Integration of genomic, resistance score, and clinical data allowed us to define a relative diversification of KPC-Kp in Northern Italy between 2019 and 2021, characterized by few large transmission chains and rare inter-hospital transmission. Our results also provided initial evidence of correlation between KPC-Kp genomic signatures and higher MIC levels to some antimicrobial agents or colonization/infection status, once again underlining WGS's importance in bacterial surveillance.</p>","PeriodicalId":7950,"journal":{"name":"Antimicrobial Resistance and Infection Control","volume":"13 1","pages":"70"},"PeriodicalIF":4.8,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11223429/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141496902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jean Xiang Ying Sim, Susanne Pinto, Maaike S M van Mourik
{"title":"Comparing automated surveillance systems for detection of pathogen-related clusters in healthcare settings.","authors":"Jean Xiang Ying Sim, Susanne Pinto, Maaike S M van Mourik","doi":"10.1186/s13756-024-01413-5","DOIUrl":"10.1186/s13756-024-01413-5","url":null,"abstract":"<p><strong>Background: </strong>Detection of pathogen-related clusters within a hospital is key to early intervention to prevent onward transmission. Various automated surveillance methods for outbreak detection have been implemented in hospital settings. However, direct comparison is difficult due to heterogenicity of data sources and methodologies. In the hospital setting, we assess the performance of three different methods for identifying microbiological clusters when applied to various pathogens with distinct occurrence patterns.</p><p><strong>Methods: </strong>In this retrospective cohort study we use WHONET-SaTScan, CLAR (CLuster AleRt system) and our currently used percentile-based system (P75) for the means of cluster detection. The three methods are applied to the same data curated from 1st January 2014 to 31st December 2021 from a tertiary care hospital. We show the results for the following case studies: the introduction of a new pathogen with subsequent endemicity, an endemic species, rising levels of an endemic organism, and a sporadically occurring species.</p><p><strong>Results: </strong>All three cluster detection methods showed congruence only in endemic organisms. However, there was a paucity of alerts from WHONET-SaTScan (n = 9) compared to CLAR (n = 319) and the P75 system (n = 472). WHONET-SaTScan did not pick up smaller variations in baseline numbers of endemic organisms as well as sporadic organisms as compared to CLAR and the P75 system. CLAR and the P75 system revealed congruence in alerts for both endemic and sporadic organisms.</p><p><strong>Conclusions: </strong>Use of statistically based automated cluster alert systems (such as CLAR and WHONET-Satscan) are comparable to rule-based alert systems only for endemic pathogens. For sporadic pathogens WHONET-SaTScan returned fewer alerts compared to rule-based alert systems. Further work is required regarding clinical relevance, timelines of cluster alerts and implementation.</p>","PeriodicalId":7950,"journal":{"name":"Antimicrobial Resistance and Infection Control","volume":"13 1","pages":"69"},"PeriodicalIF":4.8,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11210035/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141454676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christiane Sidonie Gouleu, Maradona Agbanrin Daouda, Sam O'neilla Oye Bingono, Matthew Benjamin Bransby McCall, Abraham Sunday Alabi, Ayola Akim Adegnika, Frieder Schaumburg, Tobias Grebe
{"title":"Temporal trends of skin and soft tissue infections caused by methicillin-resistant Staphylococcus aureus in Gabon.","authors":"Christiane Sidonie Gouleu, Maradona Agbanrin Daouda, Sam O'neilla Oye Bingono, Matthew Benjamin Bransby McCall, Abraham Sunday Alabi, Ayola Akim Adegnika, Frieder Schaumburg, Tobias Grebe","doi":"10.1186/s13756-024-01426-0","DOIUrl":"10.1186/s13756-024-01426-0","url":null,"abstract":"<p><strong>Background: </strong>Methicillin-resistant Staphylococcus aureus (MRSA) is one of the leading causes of mortality due to bacterial antimicrobial resistance. While S. aureus is common in skin and soft tissue infections (SSTI) in Africa, data on MRSA rates are scarce and reports vary widely across the continent (5%-80%). In this study, we describe the proportion of MRSA causing SSTI in Lambaréné, Gabon, over an 11-year period.</p><p><strong>Methods: </strong>We retrospectively analyzed data from 953 bacterial specimens collected from inpatients and outpatients with SSTI at the Albert Schweitzer Hospital, Lambaréné, Gabon, between 2009 and 2019. We determined temporal changes in the prevalence of MRSA and identified risk factors for SSTI with MRSA.</p><p><strong>Results: </strong>68% of all specimens with bacterial growth yielded S. aureus (n = 499/731), of which 7% (36/497) with antimicrobial susceptibility testing were identified as MRSA. Age above 18 years, admission to the surgical ward, and deep-seated infections were significantly associated with MRSA as the causative agent. After an initial decline from 7% in 2009, there was a marked increase in the proportion of MRSA among all S. aureus from SSTI from 3 to 20% between 2012 and 2019. The resistance rate to erythromycin was significantly higher in MRSA than in methicillin-susceptible S. aureus (73% vs. 10%), and clindamycin resistance was detected exclusively in MRSA isolates (8%).</p><p><strong>Conclusion: </strong>The increasing proportion of MRSA causing SSTI over the 11-year period contrasts with many European countries where MRSA is on decline. Continuous surveillance of MRSA lineages in the hospital and community along with antibiotic stewardship programs could address the increasing trend of MRSA.</p>","PeriodicalId":7950,"journal":{"name":"Antimicrobial Resistance and Infection Control","volume":"13 1","pages":"68"},"PeriodicalIF":4.8,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11201302/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141449393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andreas Winroth, Mattias Andersson, Peter Fjällström, Anders F Johansson, Alicia Lind
{"title":"Automated surveillance of antimicrobial consumption in intensive care, northern Sweden: an observational case study.","authors":"Andreas Winroth, Mattias Andersson, Peter Fjällström, Anders F Johansson, Alicia Lind","doi":"10.1186/s13756-024-01424-2","DOIUrl":"10.1186/s13756-024-01424-2","url":null,"abstract":"<p><strong>Background: </strong>The digitalization of information systems allows automatic measurement of antimicrobial consumption (AMC), helping address antibiotic resistance from inappropriate drug use without compromising patient safety.</p><p><strong>Objectives: </strong>Describe and characterize a new automated AMC surveillance service for intensive care units (ICUs), with data stratified by referral clinic and linked with individual patient risk factors, disease severity, and mortality.</p><p><strong>Methods: </strong>An automated service collecting data from the electronic medical record was developed, implemented, and validated in a healthcare region in northern Sweden. We performed an observational study from January 1, 2018, to December 31, 2021, encompassing general ICU care for all ≥18-years-olds in a catchment population of 270000 in secondary care and 900000 in tertiary care. We used descriptive analyses to associate ICU population characteristics with AMC outcomes over time, including days of therapy (DOT), length of therapy, defined daily doses, and mortality.</p><p><strong>Results: </strong>There were 5608 admissions among 5190 patients with a median age of 65 (IQR 48-75) years, 41.2% females. The 30-day mortality was 18.3%. Total AMC was 1177 DOTs in secondary and 1261 DOTs per 1000 patient days and tertiary care. AMC varied significantly among referral clinics, with the highest total among 810 general surgery admissions in tertiary care at 1486 DOTs per 1000 patient days. Case-mix effects on the AMC were apparent during COVID-19 waves highlighting the need to account for case-mix. Patients exposed to more than three antimicrobial drug classes (N = 242) had a 30-day mortality rate of 40.6%, with significant variability in their expected rates based on admission scores.</p><p><strong>Conclusion: </strong>We introduce a new service and instructions for automating local ICU-AMC data collection. The versatile long-term ICU-AMC metrics presented, covering patient factors, referral clinics and mortality outcomes, are expected to be beneficial in refining antimicrobial drug use.</p>","PeriodicalId":7950,"journal":{"name":"Antimicrobial Resistance and Infection Control","volume":"13 1","pages":"67"},"PeriodicalIF":4.8,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11186282/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141417366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tamara Dörr, Sabine Güsewell, Domenica Flury, Maria Süveges, Camille Beatrice Gaza Valera, Sara Botero-Mesa, Marie-Céline Zanella, Anne Iten, Carlo Balmelli, Nicolas Troillet, Sarah Tschudin-Sutter, Peter W Schreiber, Philipp Jent, Lauro Damonti, Rami Sommerstein, Lea Portmann, Danielle Vuichard-Gysin, Alexia Cusini, Yvonne Nussbaumer-Ochsner, Ulrich Heininger, Christoph Berger, Petra Zimmermann, Céline Gardiol, Olivia Keiser, Matthias Schlegel, Philipp Kohler, Stefan P Kuster
{"title":"Association of institutional masking policies with healthcare-associated SARS-CoV-2 infections in Swiss acute care hospitals during the BA.4/5 wave (CH-SUR study): a retrospective observational study.","authors":"Tamara Dörr, Sabine Güsewell, Domenica Flury, Maria Süveges, Camille Beatrice Gaza Valera, Sara Botero-Mesa, Marie-Céline Zanella, Anne Iten, Carlo Balmelli, Nicolas Troillet, Sarah Tschudin-Sutter, Peter W Schreiber, Philipp Jent, Lauro Damonti, Rami Sommerstein, Lea Portmann, Danielle Vuichard-Gysin, Alexia Cusini, Yvonne Nussbaumer-Ochsner, Ulrich Heininger, Christoph Berger, Petra Zimmermann, Céline Gardiol, Olivia Keiser, Matthias Schlegel, Philipp Kohler, Stefan P Kuster","doi":"10.1186/s13756-024-01422-4","DOIUrl":"10.1186/s13756-024-01422-4","url":null,"abstract":"<p><strong>Background: </strong>In the initial phase of the SARS-CoV-2 pandemic, masking has been widely accepted in healthcare institutions to mitigate the risk of healthcare-associated infection. Evidence, however, is still scant and the role of masks in preventing healthcare-associated SARS-CoV-2 acquisition remains unclear.We investigated the association of variation in institutional mask policies with healthcare-associated SARS-CoV-2 infections in acute care hospitals in Switzerland during the BA.4/5 2022 wave.</p><p><strong>Methods: </strong>SARS-CoV-2 infections in hospitalized patients between June 1 and September 5, 2022, were obtained from the \"Hospital-based surveillance of COVID-19 in Switzerland\"-database and classified as healthcare- or community-associated based on time of disease onset. Institutions provided information regarding institutional masking policies for healthcare workers and other prevention policies. The percentage of healthcare-associated SARS-CoV-2 infections was calculated per institution and per type of mask policy. The association of healthcare-associated SARS-CoV-2 infections with mask policies was tested using a negative binominal mixed-effect model.</p><p><strong>Results: </strong>We included 2'980 SARS-CoV-2 infections from 13 institutions, 444 (15%) were classified as healthcare-associated. Between June 20 and June 30, 2022, six (46%) institutions switched to a more stringent mask policy. The percentage of healthcare-associated infections subsequently declined in institutions with policy switch but not in the others. In particular, the switch from situative masking (standard precautions) to general masking of HCW in contact with patients was followed by a strong reduction of healthcare-associated infections (rate ratio 0.39, 95% CI 0.30-0.49). In contrast, when compared across hospitals, the percentage of health-care associated infections was not related to mask policies.</p><p><strong>Conclusions: </strong>Our findings suggest switching to a more stringent mask policy may be beneficial during increases of healthcare-associated SARS-CoV-2 infections at an institutional level.</p>","PeriodicalId":7950,"journal":{"name":"Antimicrobial Resistance and Infection Control","volume":"13 1","pages":"64"},"PeriodicalIF":4.8,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11184728/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141417365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Gram-negative bacterial infections in surgical intensive care unit patients following abdominal surgery: high mortality associated with Stenotrophomonas maltophilia infection.","authors":"Ting-Lung Lin, Po-Hsun Chang, Yueh-Wei Liu, Wei-Hung Lai, Ying-Ju Chen, I-Ling Chen, Wei-Feng Li, Chih-Chi Wang, Ing-Kit Lee","doi":"10.1186/s13756-024-01411-7","DOIUrl":"10.1186/s13756-024-01411-7","url":null,"abstract":"<p><strong>Background: </strong>Stenotrophomonas maltophilia, a multidrug-resistant gram-negative bacteria (GNB), is an emerging nosocomial pathogen. This study assessed the clinical outcomes of GNB infections in surgical intensive care unit (SICU) patients post-abdominal surgery, focusing on the differences between S. maltophilia and other GNBs, including Pseudomonas aeruginosa.</p><p><strong>Methods: </strong>A retrospective study was conducted on SICU patients at Kaohsiung Chang Gung Memorial Hospital from 2010 to 2020, who developed GNB infections following abdominal surgery.</p><p><strong>Results: </strong>Of 442 patients, 237 had S. maltophilia and 205 had non-S. maltophilia GNB infections (including 81 with P. aeruginosa). The overall mortality rate was 44.5%, and S. maltophilia infection emerged as a significant contributor to the mortality rate in patients with GNB infections. S. maltophilia patients had longer mechanical ventilation and SICU stays, with a 30-day mortality rate of 35.4%, higher than the non-S. maltophilia GNB (22.9%) and P. aeruginosa (21%) groups. In-hospital mortality was also higher in the S. maltophilia group (53.2%) compared to the non-S. maltophilia GNB (34.6%) and P. aeruginosa groups (29.6%). Risk factors for acquiring S. maltophilia included a higher Sequential Organ Failure Assessment score and prior broad-spectrum antibiotics use. Older age, polymicrobial infections, and elevated bilirubin were associated with increased 30-day mortality in S. maltophilia patients.</p><p><strong>Conclusion: </strong>S. maltophilia infections in post-abdominal surgery patients are linked to higher mortality than non-S. maltophilia GNB and P. aeruginosa infections, emphasizing the need for early diagnosis and treatment to improve outcomes.</p>","PeriodicalId":7950,"journal":{"name":"Antimicrobial Resistance and Infection Control","volume":"13 1","pages":"65"},"PeriodicalIF":5.5,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11184765/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141417368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dissemination of clinical Escherichia coli strains harboring mcr-1, bla<sub>NDM-7</sub> and siderophore-producing plasmids in a Chinese hospital.","authors":"Lihua Liu, Mingqi Zhao, Yanhua Tang, Aihua Shen, Xiao Yang, Li Yao, Dongxing Tian","doi":"10.1186/s13756-024-01423-3","DOIUrl":"10.1186/s13756-024-01423-3","url":null,"abstract":"<p><strong>Background: </strong>Carbapenem-resistant E. coli (CREco) pose a significant public health threat due to their multidrug resistance. Colistin is often a last-resort treatment against CREco; however, the emergence of colistin resistance gene mcr-1 complicates treatment options.</p><p><strong>Methods: </strong>Two E. coli strains (ECO20 and ECO21), recovered from hospitalized patients in distinct wards, exhibited resistance to carbapenems and colistin. Whole-genome sequencing and phenotypic characterization were employed to study resistance patterns, plasmid profiles, transferability of resistance and virulence genes, and siderophore production capabilities. Comparative genome analysis was used to investigate the genetic environment of mcr-1, bla<sub>NDM-7</sub>, and virulence clusters.</p><p><strong>Results: </strong>Both E. coli strains exhibited thr presence of both mcr-1 and bla<sub>NDM-7</sub> genes, showing high resistance to multiple antibiotics. Genomic analysis revealed the clonal transmission of these strains, possessing identical plasmid profiles (pMCR, pNDM, and pVir) associated with colistin resistance, carbapenem resistance, and virulence factors. Conjugation experiments confirmed the transferability of these plasmids, indicating their potential to disseminate resistance and virulence traits to other strains. Comparative genomic analyses unveiled the distribution of mcr-1 (IncX4-type) and bla<sub>NDM</sub> (IncX3-type) plasmids across diverse bacterial species, emphasizing their adaptability and threat. The novelty of pVir indicates its potential role in driving the evolution of highly adaptable and pathogenic strains.</p><p><strong>Conclusions: </strong>Our findings underscore the co-occurrence of mcr-1, bla<sub>NDM-7</sub>, and siderophore-producing plasmids in E. coli, which poses a significant concern for global health. This research is crucial to unravel the complex mechanisms governing plasmid transfer and recombination and to devise robust strategies to control their spread in healthcare settings.</p>","PeriodicalId":7950,"journal":{"name":"Antimicrobial Resistance and Infection Control","volume":"13 1","pages":"66"},"PeriodicalIF":4.8,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11184858/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141417367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuping Li, Xianru Gao, Haiqing Diao, Tian Shi, Jingyue Zhang, Yuting Liu, Qingping Zeng, JiaLi Ding, Juan Chen, Kai Yang, Qiang Ma, Xiaoguang Liu, Hailong Yu, Guangyu Lu
{"title":"Development and application of a risk nomogram for the prediction of risk of carbapenem-resistant Acinetobacter baumannii infections in neuro-intensive care unit: a mixed method study.","authors":"Yuping Li, Xianru Gao, Haiqing Diao, Tian Shi, Jingyue Zhang, Yuting Liu, Qingping Zeng, JiaLi Ding, Juan Chen, Kai Yang, Qiang Ma, Xiaoguang Liu, Hailong Yu, Guangyu Lu","doi":"10.1186/s13756-024-01420-6","DOIUrl":"10.1186/s13756-024-01420-6","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to develop and apply a nomogram with good accuracy to predict the risk of CRAB infections in neuro-critically ill patients. In addition, the difficulties and expectations of application such a tool in clinical practice was investigated.</p><p><strong>Methods: </strong>A mixed methods sequential explanatory study design was utilized. We first conducted a retrospective study to identify the risk factors for the development of CRAB infections in neuro-critically ill patients; and further develop and validate a nomogram predictive model. Then, based on the developed predictive tool, medical staff in the neuro-ICU were received an in-depth interview to investigate their opinions and barriers in using the prediction tool during clinical practice. The model development and validation is carried out by R. The transcripts of the interviews were analyzed by Maxqda.</p><p><strong>Results: </strong>In our cohort, the occurrence of CRAB infections was 8.63% (47/544). Multivariate regression analysis showed that the length of neuro-ICU stay, male, diabetes, low red blood cell (RBC) count, high levels of procalcitonin (PCT), and number of antibiotics ≥ 2 were independent risk factors for CRAB infections in neuro-ICU patients. Our nomogram model demonstrated a good calibration and discrimination in both training and validation sets, with AUC values of 0.816 and 0.875. Additionally, the model demonstrated good clinical utility. The significant barriers identified in the interview include \"skepticism about the accuracy of the model\", \"delay in early prediction by the indicator of length of neuro-ICU stay\", and \"lack of a proper protocol for clinical application\".</p><p><strong>Conclusions: </strong>We established and validated a nomogram incorporating six easily accessed indicators during clinical practice (the length of neuro-ICU stay, male, diabetes, RBC, PCT level, and the number of antibiotics used) to predict the risk of CRAB infections in neuro-ICU patients. Medical staff are generally interested in using the tool to predict the risk of CRAB, however delivering clinical prediction tools in routine clinical practice remains challenging.</p>","PeriodicalId":7950,"journal":{"name":"Antimicrobial Resistance and Infection Control","volume":"13 1","pages":"62"},"PeriodicalIF":4.8,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11170918/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141309491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Manon Brekelmans, Titia Hopmans, Maaike van Mourik, Sabine de Greeff, Julie Swillens, Stephanie van Rooden
{"title":"Evaluation of a multifaceted implementation strategy for semi-automated surveillance of surgical site infections after total hip or knee arthroplasty: a multicentre pilot study in the Netherlands.","authors":"Manon Brekelmans, Titia Hopmans, Maaike van Mourik, Sabine de Greeff, Julie Swillens, Stephanie van Rooden","doi":"10.1186/s13756-024-01418-0","DOIUrl":"10.1186/s13756-024-01418-0","url":null,"abstract":"<p><strong>Introduction: </strong>To promote the nation-wide implementation of semi-automated surveillance (AS) of surgical site infection after hip and knee arthroplasty, the Dutch National Institute for Public Health and the Environment (RIVM) deployed a decentralised multifaceted implementation strategy. This strategy consisted of a protocol specifying minimum requirements for an AS system, supported by a user manual, education module, individual guidance for hospitals and user-group meetings. This study describes an effect evaluation and process evaluation of the implementation strategy for AS in five frontrunner hospitals.</p><p><strong>Methods: </strong>To evaluate the effect of the implementation strategy, the achieved phase of implementation was determined in each frontrunner hospital at the end of the study period. The process evaluation consisted of (1) an evaluation of the feasibility of strategy elements, (2) an evaluation of barriers and facilitators for implementation and (3) an evaluation of the workload for implementation. Interviews were performed as a basis for a subsequent survey quantifying the results regarding the feasibility as well as barriers and facilitators. Workload was self-monitored per profession. Qualitative data were analysed using a framework analysis, whereas quantitative data were analysed descriptively.</p><p><strong>Results: </strong>One hospital finished the complete implementation process in 240 person-hours. Overall, the elements of the implementation strategy were often used, positively received and overall, the strategy was rated effective and feasible. During the implementation process, participants perceived the relative advantage of AS and had sufficient knowledge about AS. However, barriers regarding complexity of AS data extraction, data-infrastructure, and validation, lack of capacity and motivation at the IT department, and difficulties with assigning roles and responsibilities were experienced.</p><p><strong>Conclusion: </strong>A decentralised multifaceted implementation strategy is suitable for the implementation of AS in hospitals. Effective local project management, including clear project leadership and ownership, obtaining commitment of higher management levels, active involvement of stakeholders, and appropriate allocation of roles and responsibilities is important for successful implementation and should be facilitated by the implementation strategy. Sufficient knowledge about AS, its requirements and the implementation process should be available among stakeholders by e.g. an education module. Furthermore, exchange of knowledge and experiences between hospitals should be encouraged in user-group meetings.</p>","PeriodicalId":7950,"journal":{"name":"Antimicrobial Resistance and Infection Control","volume":"13 1","pages":"63"},"PeriodicalIF":4.8,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11170835/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141316547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Prevalence and predictors of self-medication with antibiotics in Ethiopia: a systematic review and meta-analysis.","authors":"Wondim Ayenew, Tewodros Ayalew Tessema, Yeniewa Kerie Anagaw, Ebrahim Abdela Siraj, Segenet Zewdie, Wudneh Simegn, Liknaw Workie Limenh, Chernet Tafere, Ashagrachew Tewabe Yayehrad","doi":"10.1186/s13756-024-01417-1","DOIUrl":"10.1186/s13756-024-01417-1","url":null,"abstract":"<p><strong>Introduction: </strong>Antibiotic self-medication is a global public health concern contributing to antibiotic resistance. This systematic review and meta-analysis aim to assess the prevalence of antibiotic self-medication and its associated factors in Ethiopia.</p><p><strong>Methods: </strong>A comprehensive search of electronic databases was conducted from MEDLINE (PubMed), Scopus, Google Scholar and Web of Science to identify relevant studies published between 2000 and 2024. Adult households, undergraduate university students and health care professionals who had taken antibiotics without a prescription in the household setting were included in this review. The primary outcome of this review is antibiotic self- medication. The random-effects model was used to estimate pooled prevalence rates. The outcome measure was analyzed with STATA version 17 software.</p><p><strong>Results: </strong>A total of nine studies were included in the Meta-analysis, comprising a sample size of 5908 participants. The pooled prevalence of antibiotic self-medication among Ethiopians was found to be 46.14 with 95% Confidence Interval [35.71, 56.57]. The most frequently used classes of self-medicated antibiotics were penicillins, followed by tetracyclines. Community pharmacies were the source of information that individuals utilized. The most common reported reasons for antibiotic self-medication include previous experience of treating a similar illness, to save cost, lack of time and avoiding waiting time for medical services. Participants having less than high school educational level was the most commonly reported factor associated with self-medication antibiotics.</p><p><strong>Conclusion: </strong>Antibiotic self-medication is a prevalent practice in Ethiopia. This underscores the need for targeted interventions such as educating people about the risks associated with using antibiotics without medical guidance, which results in a reduction in antibiotic resistance.</p>","PeriodicalId":7950,"journal":{"name":"Antimicrobial Resistance and Infection Control","volume":"13 1","pages":"61"},"PeriodicalIF":5.5,"publicationDate":"2024-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11163721/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141295407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}