Antimicrobial Resistance and Infection Control最新文献

{"title":"Extended spectrum and metalo beta lactamase producing gram negative bacterial pathogens from cockroaches collected at hospital, Southern Ethiopia.","authors":"Fithamlak Solomon Bisetegn, Habtamu Azene, Khawaja Shakeel Ahmed, Fiseha Wadilo, Efrata Girma Tufa","doi":"10.1186/s13756-024-01442-0","DOIUrl":"10.1186/s13756-024-01442-0","url":null,"abstract":"<p><strong>Background: </strong>Cockroaches can pose a significant health risk in hospital environments because they may serve as reservoirs and vectors for nosocomial pathogens. Cockroaches harbor epidemiologically significant extended spectrum and metalo beta lactamase producing Gram negative bacterial pathogens, which complicate nosocomial infections.</p><p><strong>Objectives: </strong>The main aim of this study is to determine aetiology and phenotypic extended spectrum and metalo beta lactamase producing Gram negative bacteria pathogens from cockroaches collected in hospitals.</p><p><strong>Methods: </strong>A cross-sectional study was employed from February to May 2022 to determine the antibiotic resistance producing bacterial isolates from cockroaches by giving special emphasis to metalo beta lactamase and extended spectrum beta lactamase production from different wards of WSUCSH. Cockroaches were collected with hands wearing sterile gloves. External homogenate was prepared and incubated microbiologically by using different culture media and differentiated biochemically. Antimicrobial susceptibility testing was performed by disk diffusion method. ESBL production was conducted using double disc synergy method and double disk method was used to detect MBL enzyme detection. Descriptive statistics was used to determine prevalence and percentage.</p><p><strong>Result: </strong>Out of 245 cockroaches, 108 Gram negative bacteria were isolated. K. pneumoniae 29(26.9%) was the most predominant bacteria and Enetrobacter spp. 8(7.4%), was the least. All, K. pneumoniae, P. mirabilis, and Enterobacter isolates were pan-resistant to Ampicillin. P.aeruginosa and P.mirabilis antibiotics showed ≥ 80% resistant for amoxicillin/clavulanic acid antibiotics. Cefotaxime, ceftazidime, ceftriaxone and imipenem showed relative efficacy compared with other antibiotics. Out of 78 amoxicillin-clavulanic acid resistant isolates, 42(34.7%) were ESBL producers. ESBL production is more depicted by P. aeruginosa, A. baumannii, K. pneumoniae and E. coli. The overall prevalence of MBL production is 29(23.1%). K. pneumoniae P. aeruginosa, E.coli, A. baumannii, Enterobacter spp and K.oxytoca revealed MBL production.</p><p><strong>Conclusion: </strong>The overall prevalence of ESBL and MBL producing nosocomial agents from hospital cockroaches was 34.7% and 23.1% respectively. P.aeruginosa, A.baumannii, K.pneumoniae and E.coli showed pronounced ESBL production. All bacterial isolates except P. mirabilis and C. freundii showed MBL production. The needed to evaluate our antibiotic stewardship program and antibiotic resistance detection for treatment is mandatory. The impact of cockroach as a source of AMR should be sought.</p>","PeriodicalId":7950,"journal":{"name":"Antimicrobial Resistance and Infection Control","volume":"13 1","pages":"87"},"PeriodicalIF":4.8,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11321132/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141970448","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":"Infection prevention and control in 2030: a first qualitative survey by the Crystal Ball Initiative.","authors":"Hugo Sax, Jonas Marschall","doi":"10.1186/s13756-024-01431-3","DOIUrl":"10.1186/s13756-024-01431-3","url":null,"abstract":"<p><strong>Background: </strong>Healthcare delivery is undergoing radical changes that influence effective infection prevention and control (IPC). Futures research (short: Futures), the science of deliberating on multiple potential future states, is increasingly employed in many core societal fields. Futures might also be helpful in IPC to facilitate current education and organisational decisions. Hence, we conducted an initial survey as part of the IPC Crystal Ball Initiative.</p><p><strong>Methods: </strong>In 2019, international IPC experts were invited to answer a 10-item online questionnaire, including demographics, housekeeping, and open-ended core questions (Q) on the \"status of IPC in 2030\" (Q1), \"people in charge of IPC\" (Q2), \"necessary skills in IPC\" (Q3), and \"burning research questions\" (Q4). The four core questions were submitted to a three-step inductive and deductive qualitative content analysis. A subsequent cross-case matrix produced overarching leitmotifs. Q1 statements were additionally coded for sentiment analysis (positive, neutral, or negative).</p><p><strong>Results: </strong>Overall, 18 of 44 (41%) invited experts responded (from 11 countries; 12 physicians, four nurses, one manager, one microbiologist; all of them in senior positions). The emerging leitmotifs were \"System integration\", \"Beyond the hospital\", \"Behaviour change and implementation\", \"Automation and digitalisation\", and \"Anticipated scientific progress and innovation\". The statements reflected an optimistic outlook in 66% of all codes of Q1.</p><p><strong>Conclusions: </strong>The first exercise of the IPC Crystal Ball Initiative reflected an optimistic outlook on IPC in 2030, and participants envisioned leveraging technological and medical progress to increase IPC effectiveness, freeing IPC personnel from administrative tasks to be more present at the point of care and increasing IPC integration and expansion through the application of a broad range of skills. Enhancing participant immersion in future Crystal Ball Initiative exercises through simulation would likely further increase the authenticity and comprehensiveness of the envisioned futures.</p>","PeriodicalId":7950,"journal":{"name":"Antimicrobial Resistance and Infection Control","volume":"13 1","pages":"88"},"PeriodicalIF":4.8,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11320869/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141970449","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":"Carbapenem-resistant Enterobacterales sepsis following endoscopic retrograde cholangiopancreatography: risk factors for 30-day all-cause mortality and the development of a nomogram based on a retrospective cohort.","authors":"Hongchen Zhang, Yue Wang, Xiaochen Zhang, Chenshan Xu, Dongchao Xu, Hongzhang Shen, Hangbin Jin, Jianfeng Yang, Xiaofeng Zhang","doi":"10.1186/s13756-024-01441-1","DOIUrl":"10.1186/s13756-024-01441-1","url":null,"abstract":"<p><strong>Background: </strong>Endoscopic retrograde cholangiopancreatography (ERCP) has become a routine endoscopic procedure that is essential for diagnosing and managing various conditions, including gallstone extraction and the treatment of bile duct and pancreatic tumors. Despite its efficacy, post-ERCP infections - particularly those caused by carbapenem-resistant Enterobacterales (CRE) - present significant risks. These risks highlight the need for accurate predictive models to enhance postprocedural care, reduce the mortality risk associated with post-ERCP CRE sepsis, and improve patient outcomes in the context of increasing antibiotic resistance.</p><p><strong>Objective: </strong>This study aimed to examine the risk factors for 30-day mortality in patients with CRE sepsis following ERCP and to develop a nomogram for accurately predicting 30-day mortality risk.</p><p><strong>Methods: </strong>Data from 195 patients who experienced post-ERCP CRE sepsis between January 2010 and December 2022 were analyzed. Variable selection was optimized via the least absolute shrinkage and selection operator (LASSO) regression model. Multivariate logistic regression analysis was then employed to develop a predictive model, which was evaluated in terms of discrimination, calibration, and clinical utility. Internal validation was achieved through bootstrapping.</p><p><strong>Results: </strong>The nomogram included the following predictors: age > 80 years (hazard ratio [HR] 2.61), intensive care unit (ICU) admission within 90 days prior to ERCP (HR 2.64), hypoproteinemia (HR 4.55), quick Pitt bacteremia score ≥ 2 (HR 2.61), post-ERCP pancreatitis (HR 2.52), inappropriate empirical therapy (HR 3.48), delayed definitive therapy (HR 2.64), and short treatment duration (< 10 days) (HR 5.03). The model demonstrated strong discrimination and calibration.</p><p><strong>Conclusions: </strong>This study identified significant risk factors associated with 30-day mortality in patients with post-ERCP CRE sepsis and developed a nomogram to accurately predict this risk. This tool enables healthcare practitioners to provide personalized risk assessments and promptly administer appropriate therapies against CRE, thereby reducing mortality rates.</p>","PeriodicalId":7950,"journal":{"name":"Antimicrobial Resistance and Infection Control","volume":"13 1","pages":"84"},"PeriodicalIF":4.8,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11304701/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141900777","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":"Effectiveness of annual influenza campaigns and vaccination in reducing influenza burden in nursing homes of Canton Vaud in Switzerland.","authors":"Emmanouil Glampedakis, Patricia Cuiña Iglesias, Flaminia Chiesa, Laetitia Qalla-Widmer, May-Kou Ku Moroni, Coralie Riccio, Béatrix Sobgoui, Marie Immaculée Nahimana Tessemo, Alessandro Cassini","doi":"10.1186/s13756-024-01443-z","DOIUrl":"10.1186/s13756-024-01443-z","url":null,"abstract":"<p><strong>Background: </strong>Influenza infections pose significant risks for nursing home (NH) residents. Our aim was to evaluate the impact of the cantonal influenza campaign, and influenza vaccination coverage of residents and healthcare workers (HCWs) on influenza burden in NHs in a context of enhanced infection prevention and control measures (IPC) during the SARS-CoV-2 pandemic.</p><p><strong>Methods: </strong>We extracted data from epidemic reports provided by our unit to NHs over two consecutive winter seasons (2021-22 and 2022-23) and used linear regression to assess the impact of resident and HCW vaccination coverage, and participation in the campaign, on residents' cumulative influenza incidence and mortality.</p><p><strong>Results: </strong>Thirty-six NHs reported 155 influenza cases and 21 deaths during the two winter seasons corresponding to 6.2% of infected residents and a case fatality ratio of 13.5%. Median vaccination coverage was 83% for residents, 25.8% for HCWs, while 87% of NHs participated in the campaign. Resident vaccination was significantly associated with a decrease in odds of death (odds ratio (OR) 0.96, 95% confidence interval (CI): 0.93-0.99). There was no significant effect of HCW vaccination coverage on resident infections and deaths. Campaign participation was associated with decreased odds of infection and death among residents (OR: 0.17, 95% CI: 0.06-0.47 and OR: 0.06, 95% CI: 0.02-0.17 respectively).</p><p><strong>Conclusion: </strong>Our analysis suggests that in a context of reinforced IPC measures, influenza still represents a significant burden for NH residents. The most effective measures in decreasing resident influenza burden in NHs was participation in the cantonal influenza vaccination campaign and resident vaccination.</p>","PeriodicalId":7950,"journal":{"name":"Antimicrobial Resistance and Infection Control","volume":"13 1","pages":"86"},"PeriodicalIF":4.8,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11304826/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141900779","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":"Development and validation of prediction models for nosocomial infection and prognosis in hospitalized patients with cirrhosis.","authors":"Shuwen Li, Yu Zhang, Yushi Lin, Luyan Zheng, Kailu Fang, Jie Wu","doi":"10.1186/s13756-024-01444-y","DOIUrl":"10.1186/s13756-024-01444-y","url":null,"abstract":"<p><strong>Background: </strong>Nosocomial infections (NIs) frequently occur and adversely impact prognosis for hospitalized patients with cirrhosis. This study aims to develop and validate two machine learning models for NIs and in-hospital mortality risk prediction.</p><p><strong>Methods: </strong>The Prediction of Nosocomial Infection and Prognosis in Cirrhotic patients (PIPC) study included hospitalized patients with cirrhosis at the Qingchun Campus of the First Affiliated Hospital of Zhejiang University. We then assessed several machine learning algorithms to construct predictive models for NIs and prognosis. We validated the best-performing models with bootstrapping techniques and an external validation dataset. The accuracy of the predictions was evaluated through sensitivity, specificity, predictive values, and likelihood ratios, while predictive robustness was examined through subgroup analyses and comparisons between models.</p><p><strong>Results: </strong>We enrolled 1,297 patients into derivation cohort and 496 patients into external validation cohort. Among the six algorithms assessed, the Random Forest algorithm performed best. For NIs, the PIPC-NI model achieved an area under the curve (AUC) of 0.784 (95% confidence interval [CI] 0.741-0.826), a sensitivity of 0.712, and a specificity of 0.702. For in-hospital mortality, the PIPC- mortality model achieved an AUC of 0.793 (95% CI 0.749-0.836), a sensitivity of 0.769, and a specificity of 0.701. Moreover, our PIPC models demonstrated superior predictive performance compared to the existing MELD, MELD-Na, and Child-Pugh scores.</p><p><strong>Conclusions: </strong>The PIPC models showed good predictive power and may facilitate healthcare providers in easily assessing the risk of NIs and prognosis among hospitalized patients with cirrhosis.</p>","PeriodicalId":7950,"journal":{"name":"Antimicrobial Resistance and Infection Control","volume":"13 1","pages":"85"},"PeriodicalIF":4.8,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11304655/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141900778","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":"Trends in the antimicrobial susceptibility among Chinese neonates from 2012 to 2021: a multicenter study.","authors":"Zhanghua Yin, Jintong Tan, Huafei Huang, Jianyuan Zhao, Xiaohui Gong, Jing Li, Chao Chen, Fei Luo, Xiaoyi Huang, Huaiyan Wang, Hongyan Lu, Mingfu Wu, Renqiang Yu, Xiaoping Lei, Qian Zhang, Fengdan Xu, Ning Li, Hong Jiang, Jianhua Fu, Rui Cheng, Yan Chen, Yongjun Zhang","doi":"10.1186/s13756-024-01440-2","DOIUrl":"10.1186/s13756-024-01440-2","url":null,"abstract":"<p><strong>Background: </strong>Antibiotic resistance is a serious global public health issue. However, there are few reports on trends in antimicrobial susceptibility in Chinese neonates, and most of the existing evidence has been derived from adult studies. We aimed to assess the trends in antimicrobial susceptibility of common pathogens in full-term neonates with invasive bacterial infections (IBIs) in China.</p><p><strong>Methods: </strong>This cross-sectional survey study analyzed the antimicrobial susceptibility in Chinese neonates with IBIs from 17 hospitals, spanning from January 2012 to December 2021. Joinpoint regression model was applied to illustrate the trends and calculate the average annual percentage change (AAPC). Using Mantel-Haenszel linear-by-linear association chi-square test, we further compared the antibiotic minimum inhibitory concentrations (MICs) by pathogens between 2019 and 2021 to provide precise estimates of changes.</p><p><strong>Results: </strong>The proportion of Escherichia coli with extended-spectrum-beta-lactamase-negative strains increased from 0.0 to 88.5% (AAPC = 62.4%, 95% confidence interval (CI): 44.3%, 82.9%), with two breakpoints in 2014 and 2018 (p-trend < 0.001). The susceptibility of group B Streptococcus (GBS) to erythromycin and clindamycin increased by 66.7% and 42.8%, respectively (AAPC = 55.2%, 95% CI: 23.2%, 95.5%, p-trend = 0.002; AAPC = 54.8%, 95% CI: 9.6%, 118.6%, p-trend < 0.001), as did Staphylococcus aureus to penicillin (AAPC = 56.2%; 95% CI: 34.8%, 81.0%, p-trend < 0.001). However, the susceptibility of Enterococcus spp. to ampicillin declined from 100.0 to 25.0% (AAPC = - 11.7%, 95% CI: - 15.2%, - 8.1%, p-trend < 0.001), and no significant improvement was observed in the antibiotic susceptibility of Escherichia coli to ampicillin, gentamicin, and cephalosporin. Additionally, the proportion of GBS/Staphylococcus aureus with relatively low MIC values for relevant antibiotics also increased in 2021 compared to 2019.</p><p><strong>Conclusions: </strong>Antimicrobial susceptibility of the most prevalent pathogens in full-term neonates seemed to have improved or remained stable over the last decade in China, implying the effectiveness of policies and practice of antibiotic stewardship had gradually emerged.</p>","PeriodicalId":7950,"journal":{"name":"Antimicrobial Resistance and Infection Control","volume":"13 1","pages":"83"},"PeriodicalIF":4.8,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11290293/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141854472","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":"Carbapenemase-producing enterobacterales colonisation status does not lead to more frequent admissions: a linked patient study.","authors":"Michael J Lydeamore, Tjibbe Donker, David Wu, Claire Gorrie, Annabelle Turner, Marion Easton, Daneeta Hennessy, Nicholas Geard, Benjamin P Howden, Ben S Cooper, Andrew Wilson, Anton Y Peleg, Andrew J Stewardson","doi":"10.1186/s13756-024-01437-x","DOIUrl":"10.1186/s13756-024-01437-x","url":null,"abstract":"<p><strong>Background: </strong>Hospitals in any given region can be considered as part of a network, where facilities are connected to one another - and hospital pathogens potentially spread - through the movement of patients between them. We sought to describe the hospital admission patterns of patients known to be colonised with carbapenemase-producing Enterobacterales (CPE), and compare them with CPE-negative patient cohorts, matched on comorbidity information.</p><p><strong>Methods: </strong>We performed a linkage study in Victoria, Australia, including datasets with notifiable diseases (CPE notifications) and hospital admissions (admission dates and diagnostic codes) for the period 2011 to 2020. Where the CPE notification date occurred during a hospital admission for the same patient, we identified this as the 'index admission'. We determined the number of distinct health services each patient was admitted to, and time to first admission to a different health service. We compared CPE-positive patients with four cohorts of CPE-negative patients, sampled based on different matching criteria.</p><p><strong>Results: </strong>Of 528 unique patients who had CPE detected during a hospital admission, 222 (42%) were subsequently admitted to a different health service during the study period. Among these patients, CPE diagnosis tended to occur during admission to a metropolitan public hospital (86%, 190/222), whereas there was a greater number of metropolitan private (23%, 52/222) and rural public (18%, 39/222) hospitals for the subsequent admission. Median time to next admission was 4 days (IQR, 0-75 days). Admission patterns for CPE-positive patients was similar to the cohort of CPE-negative patients matched on index admission, time period, and age-adjusted Charlson comorbidity index.</p><p><strong>Conclusions: </strong>Movement of CPE-positive patients between health services is not a rare event. While the most common movement is from one public metropolitan health service to another, there is also a trend for movement from metropolitan public hospitals into private and rural hospitals. After accounting for clinical comorbidities, CPE colonisation status does not appear to impact on hospital admission frequency or timing. These findings support the potential utility of a centralised notification and outbreak management system for CPE positive patients.</p>","PeriodicalId":7950,"journal":{"name":"Antimicrobial Resistance and Infection Control","volume":"13 1","pages":"82"},"PeriodicalIF":4.8,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11287836/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141791746","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":"The surgical interval between robot-assisted SEEG and epilepsy resection surgery is an influencing factor of SSI.","authors":"Xiaolian Xie, Hongwu Yao, Hulin Zhao, Bowei Liu, Yanling Bai, Huan Li, Yunxi Liu, Mingmei Du","doi":"10.1186/s13756-024-01438-w","DOIUrl":"10.1186/s13756-024-01438-w","url":null,"abstract":"<p><strong>Background: </strong>In recent years, the development of robotic neurosurgery has brought many benefits to patients, but there are few studies on the occurrence of surgical site infection (SSI) after robot-assisted stereoelectroencephalography (SEEG). The purpose of this study was to collect relevant data from robot-assisted SEEG over the past ten years and to analyze the influencing factors and economic burden of surgical site infection.</p><p><strong>Methods: </strong>Basic and surgical information was collected for all patients who underwent robot-assisted SEEG from January 2014 to December 2023. Logistic regression was used to analyze the factors influencing SSI according to different subgroups (radiofrequency thermocoagulation or epilepsy resection surgery).</p><p><strong>Results: </strong>A total of 242 subjects were included in this study. The risk of SSI in the epilepsy resection surgery group (18.1%) was 3.5 times greater than that in the radiofrequency thermocoagulation group (5.1%) (OR 3.49, 95% CI 1.39 to 9.05); this difference was statistically significant. SSI rates in the epilepsy resection surgery group were associated with shorter surgical intervals (≤ 9 days) and higher BMI (≥ 23 kg/m²) (6.1 and 5.2 times greater than those in the control group, respectively). Hypertension and admission to the intensive care unit (ICU) were risk factors for SSI in the radiofrequency thermocoagulation group. Patients with SSIs had $21,231 more total hospital costs, a 7-day longer hospital stay, and an 8-day longer postoperative hospital stay than patients without SSI.</p><p><strong>Conclusions: </strong>The incidence of SSI in patients undergoing epilepsy resection after stereoelectroencephalography was higher than that in patients undergoing radiofrequency thermocoagulation. For patients undergoing epilepsy resection surgery, prolonging the interval between stereoelectroencephalography and epilepsy resection surgery can reduce the risk of SSI; At the same time, for patients receiving radiofrequency thermocoagulation treatment, it is not recommended to enter the ICU for short-term observation if the condition permits.</p>","PeriodicalId":7950,"journal":{"name":"Antimicrobial Resistance and Infection Control","volume":"13 1","pages":"81"},"PeriodicalIF":4.8,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11282661/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141764900","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":"Healthcare workers' knowledge, attitude and practices on infection prevention and control in the context of the COVID-19 pandemic at the Faranah regional hospital and associated healthcare centers, Guinea.","authors":"Lena Landsmann, Anna Borodova, Carlos Rocha, Aziz Amadou Diallo, Kamis Mamadou Diallo, Matthias Borchert, Mardjan Arvand, Mamadou Diallo, Rebekah R Wood, Sophie A Müller","doi":"10.1186/s13756-024-01435-z","DOIUrl":"10.1186/s13756-024-01435-z","url":null,"abstract":"<p><strong>Background: </strong>In response to the COVID-19 pandemic, WHO launched a strategic preparedness and response plan, outlining public health measures to support countries worldwide. Healthcare workers have an increased risk of becoming infected and their behaviour regarding infection prevention and control (IPC) influences infection dynamics. IPC strategies are important across the globe, but even more in low-resource settings where capacities for testing and treatment are limited. Our study aimed to assess and implement COVID-19 pandemic preparedness and response measures in Faranah, Guinea, primarily focusing on healthcare workers' IPC knowledge, attitude and practice (KAP).</p><p><strong>Methods: </strong>The study was conducted between April 2020 and April 2021 assessing IPC pandemic preparedness and response measures such as healthcare workers' KAP, alcohol-based handrub (ABHR) consumption and COVID-19 triaging in the Faranah Regional Hospital and two associated healthcare centres. The assessment was accompanied by IPC training and visual workplace reminders and done in pre- and post- phases to evaluate possible impact of these IPC activities.</p><p><strong>Results: </strong>The overall knowledge score in the Faranah Regional Hospital was 32.0 out of 44 at baseline, and did not change in the first, but increased significantly by 3.0 points in the second follow-up. The healthcare workers felt closer proximity to SARS-CoV-2 overtime in addition to higher stress levels in all study sites. There was significant improvement across the observed triaging practices. Hand hygiene compliance showed a significant increase across study sites leading to 80% in Faranah Regional Hospital and 63% in healthcare centers. The average consumption of ABHR per consultation was 3.29 mL with a peak in February 2020 of 23 mL.</p><p><strong>Conclusion: </strong>Despite increased stress levels among HCWs, the ongoing IPC partnership well prepared the FRH in terms of triaging processes with a stronger impact on IPC practice than on theoretical knowledge. Throughout the pandemic, global shortages and surges in consumption did not affect the continuous ABHR provision of the FRH. This highlights local ABHR production as a key pandemic preparedness strategy.</p>","PeriodicalId":7950,"journal":{"name":"Antimicrobial Resistance and Infection Control","volume":"13 1","pages":"79"},"PeriodicalIF":4.8,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11256390/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141632441","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":"A qualitative, multi-centre approach to the current state of digitalisation and automation of surveillance in infection prevention and control in German hospitals.","authors":"Michael Eisenmann, Cord Spreckelsen, Vera Rauschenberger, Manuel Krone, Stefanie Kampmeier","doi":"10.1186/s13756-024-01436-y","DOIUrl":"10.1186/s13756-024-01436-y","url":null,"abstract":"<p><strong>Background: </strong>Healthcare associated infections (HAI) pose a major threat to healthcare systems resulting in an increased burden of disease. Surveillance plays a key role in rapidly identifying these infections and preventing further transmissions. Alas, in German hospitals, the majority of surveillance efforts have been heavily relying on labour intensive processes like manual chart review. In order to be able to identify further starting points for future digital tools and interventions to aid the surveillance of HAI we aimed to gain an understanding of the current state of digitalisation in the context of the general surveillance organisation in German clinics across all care-levels. The end user perspective of infection prevention and control (IPC) professionals was chosen to identify digital interventions that have the biggest impact on the daily surveillance work routines of IPC professionals. Perceived impediments in the advancement of surveillance digitalisation should be explored.</p><p><strong>Methods: </strong>Following the development of an interview guideline, eight IPC professionals from seven German hospitals of different care levels were questioned in semi- structured interviews between December 2022 and January 2023. These included questions about general surveillance organisation, access to digital data sources, software to aid the surveillance process as well as current issues in the surveillance process and implementation of software systems. Subsequently, after full transcription, the interview sections were categorized in code categories (first deductive then inductive coding) and analysed qualitatively.</p><p><strong>Results: </strong>Results were characterised by high heterogeneity in terms of general surveillance organisation and access to digital data sources. Software configuration of hospital and laboratory information systems (HIS/LIS) as well as patient data management systems (PDMS) varied not only between hospitals of different care levels but also between hospitals of the same care level. Outside research projects, neither fully automatic software nor solutions utilising artificial intelligence have currently been implemented in clinical routine in any of the hospitals.</p><p><strong>Conclusions: </strong>Access to digital data sources and software is increasingly available to aid surveillance of HAI. Nevertheless, surveillance processes in hospitals analysed in this study still heavily rely on manual processes. In the analysed hospitals, there is an implementation and funding gap of (semi-) automatic surveillance solutions in clinical practice, especially in healthcare facilities of lower care levels.</p>","PeriodicalId":7950,"journal":{"name":"Antimicrobial Resistance and Infection Control","volume":"13 1","pages":"78"},"PeriodicalIF":4.8,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11256362/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141632383","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}