Nosocomial Infection Surveillance Research Articles

Assessing infection prevention and control structures in German hospitals after the COVID-19 pandemic using the WHO infection prevention and control assessment framework (IPCAF): results from 660 hospitals and comparison with a pre-pandemic survey

BackgroundThe WHO Infection Prevention and Control Assessment Framework (IPCAF) is a standardized tool to assess infection prevention and control (IPC) structures in healthcare facilities. The IPCAF reflects the eight WHO core components (CC) of IPC. Besides facility self-assessment, the IPCAF can be used for national surveys, and repeated usage can aid in describing trends concerning IPC structures. A previous survey in over 700 German hospitals conducted in 2018, yielded an overall high IPC level in participating hospitals, albeit with potentials for improvement. In 2023, the survey was repeated to describe once again the state of IPC implementation in German hospitals and compare findings to data from 2018.MethodsThe German National Reference Center for the Surveillance of Nosocomial Infections (NRC) invited 1,530 German acute care hospitals participating in the national surveillance network “KISS”, to complete a translated online version of the IPCAF between October 2023 and January 2024. The questionnaire-like nature of the IPCAF, where each answer corresponds to a number of points, allows for calculating an overall IPC score. Based on the overall score, hospitals were allocated to four different IPC levels: inadequate (0–200), basic (201–400), intermediate (401–600), and advanced (601–800). Aggregated scores were calculated and compared with results from 2018.ResultsComplete datasets from 660 hospitals were received and analyzed. The median overall IPCAF score was 692.5 (interquartile range: 642.5–737.5), with 572 hospitals (86.6%) classified as advanced, and 87 hospitals (13.2%) as intermediate. One hospital (0.2%) fell into the basic category. The overall median score was virtually unchanged when compared to 2018 (690; data from 736 hospitals). The median score for the CC on workload, staffing and bed occupancy was markedly higher (85 vs. 75), whereas the median score for the CC on multimodal strategies was slightly lower than in 2018 (75 vs. 80).ConclusionsRepeated assessments of IPC structures at the national level with the IPCAF are feasible and a means to gain insights into the evolution of IPC structures. When comparing aggregated scores, a stable and high level of IPC key aspects in Germany was observed, with improvements over time in IPC indicators related to workload and staffing.

Perception and Role of Indirect and Post-Discharge Surveillance in Predicting Surgical Site Infection in Surgical Patients: An Institutional Experience

Abstract Background: Surgical site infection (SSI) surveillance is a process of observing and reporting of infections following surgery. SSI surveillance studies are few in our country. Objectives: Present study was conducted to know the perception and role of SSI surveillance. Incidence of surgical site infection, identification of risk factors and bacterial spectrum of surgical wounds during surveillance were also studied. Methods: Patients who underwent a surgical procedure between July 2022 and June 2023 at our hospital were included. A prospective incidence surveillance for SSI was done to look for any signs of infection and record them in the surveillance form. Wound swabs or pus aspirates were sent for microbiological culture. Results: A total of 2312 patients underwent surgery during the study period, of whom 61 patients were diagnosed with SSI. The incidence of SSI was 2.6%. SSI was encountered more in female patients (57.3%). Age distribution had a significant association with SSI (P = 0.025). Most operative wounds were clean-contaminated (45.9%). Most SSIs were superficial (91.8%), followed by deep (8.2%). Most patients who developed SSI had a National Nosocomial Infection Surveillance (NNIS) patient risk index of 2 (45.9%). Bacterial growth was observed in 45.9% of cases. Multidrug resistance (MDR) among these isolates was 42.6%. Conclusion: This study helped to determine predictors of SSI like duration of surgery, type of wound, duration of hospital stays, and NNIS risk index. MDR isolates are now contributing to SSI. The perception of healthcare workers about SSI surveillance was that it was feasible to use and practice. Surveillance helped clinicians to strengthen the existing infection prevention and control practices for the future.

Risk assessment and prediction of nosocomial infections based on surveillance data using machine learning methods

BackgroundNosocomial infections with heavy disease burden are becoming a major threat to the health care system around the world. Through long-term, systematic, continuous data collection and analysis, Nosocomial infection surveillance (NIS) systems are constructed in each hospital; while these data are only used as real-time surveillance but fail to realize the prediction and early warning function. Study is to screen effective predictors from the routine NIS data, through integrating the multiple risk factors and Machine learning (ML) methods, and eventually realize the trend prediction and risk threshold of Incidence of Nosocomial infection (INI).MethodsWe selected two representative hospitals in southern and northern China, and collected NIS data from 2014 to 2021. Thirty-nine factors including hospital operation volume, nosocomial infection, antibacterial drug use and outdoor temperature data, etc. Five ML methods were used to fit the INI prediction model respectively, and to evaluate and compare their performance.ResultsCompared with other models, Random Forest showed the best performance (5-fold AUC = 0.983) in both hospitals, followed by Support Vector Machine. Among all the factors, 12 indicators were significantly different between high-risk and low-risk groups for INI (P < 0.05). After screening the effective predictors through importance analysis, prediction model of the time trend was successfully constructed (R2 = 0.473 and 0.780, BIC = -1.537 and -0.731).ConclusionsThe number of surgeries, antibiotics use density, critical disease rate and unreasonable prescription rate and other key indicators could be fitted to be the threshold predictions of INI and quantitative early warning.

Is Antibiotic Prophylaxis Reasonable in Parotid Surgery? Retrospective Analysis of Surgical Site Infection.

Background: The prophylactic use of antibiotics in parotid region surgery continues to be a subject of debate. The aim of this study is to elucidate the impact of antibiotic prophylaxis on surgical site infections (SSIs) in parotid region surgery. Patients and Methods: Patients who received antibiotic prophylaxis during the peri-operative period were designated as group 1, whereas those who did not were categorized into group 2. Group 1 cases were further subdivided into three subgroups based on different antibiotic usage patterns. Patient individual information was collected. Clinical data such as surgical duration, post-operative hospital stay, incision infection status, and antibiotic usage were recorded. All data were compared and analyzed among different groups. Results: A total of 357 patients were included in the study, with no statistically significant differences in baseline characteristics. Pre-operative American Society of Anesthesiologists scores did not significantly differ between groups (p = 0.151), but there was a significant distinction in National Nosocomial Infection Surveillance (NNIS) index values (p = 0.044). Furthermore, surgical duration (p = 0.001) and pathology types (p = 0.016) differed significantly. The post-operative hospital stay in group 1 was longer than that in group 2 (p < 0.01). The post-operative SSI rate in group 1 was lower than that in group 2 without statistical significance (2.55% vs. 5.59%, p = 0.141). The logistic regression analysis showed that malignant tumors, longer surgical durations, and higher NNIS index scores correlated positively with post-operative SSI rates. Meanwhile, compared with non-use, all three different antibiotic use modes correlated negatively with SSI occurrence. Conclusions: Antibiotic prophylaxis in parotid gland surgery shows no significant reduction in SSI occurrence. If there is a compelling reason to administer prophylactic antibiotics, pre-operative single dose may be a relatively feasible measure for preventing SSIs.

Molecular and Epidemiological Characterization of Pediatric and Adult C. difficile Infection in Canadian Hospitals, 2015-2022

Background: The molecular and epidemiological landscape of C. difficile infection (CDI) has evolved markedly in the last decade; however, limited information is available contrasting differences between adult and pediatric populations. We describe a multicenter study evaluating healthcare-associated (HA) and community-associated (CA) adult and pediatric-CDI identified in the Canadian Nosocomial Infection Surveillance Program (CNISP) network from 2015 to 2022. Methods: Hospitalized patients with CDI were identified from up to 84 hospitals between 2015–2022 using standardized case definitions. Cases were confirmed by PCR, cultured, and further characterized using ribotyping and E-test. We used two-tailed tests for significance (p≤0.05). Results: Of 30,817 cases reported, 29,245 were adult cases [HA-CDI (73.2%), CA-CDI (26.8%)] and 1,572 were pediatric cases [HA-CDI (77.7%), CA-CDI (22.3%)]. From 2015 to 2022, HA-CDI rates decreased 19.7% (p=0.007) and 29.4% (p=0.004) in adult and pediatric populations, respectively (Figure 1). CA-CDI rates remained relatively stable in the adult population (p=0.797), while decreasing 60.7% in the pediatric population (p=0.013). Median ages of adult and pediatric patients were 70 (interquartile range (IQR), 58–80) and seven (IQR, 3–13) years, respectively. Thirty-day all-cause mortality was significantly higher among adult vs. Pediatric CDI patients (11.0% vs 1.4%, p &lt; 0.0001). No significant differences in other severe outcomes were found. Ribotyping and susceptibility data were available for 4,620 samples: 3,558 adult (77.0%) and 1,062 pediatric (23.0%). The predominant adult and pediatric ribotypes (RT) were 106 (12.2/16.2%), 027 (11.4/3.2%), and 014 (8.8/8.2%). Overall, RT027 prevalence significantly decreased from 17.9% in 2015 to 3.2% in 2022 (p=0.003), while RT106 increased from 8.5% to 14.4%. Resistance rates among adult and pediatric isolates were similar for all antimicrobials tested except moxifloxacin (16.2% vs. 6.2%, p &lt; 0.0001, respectively). Adult moxifloxacin resistance decreased from 30% to 6.3% from 2015 to 2022 (p=0.006). Adults with moxifloxacin-resistant CDI were older (median: 74 vs. 69 years, p &lt; 0.001) and had higher thirty-day all-cause mortality (13% vs. 9.8%, p=0.041) and recurrence (10% vs. 5.7%, p &lt; 0.001) compared to those with moxifloxacin non-resistant CDI, while these trends were not observed in pediatric patients. Among RT027 strains, moxifloxacin resistance decreased from 91.0% in 2015 to 7.1% in 2022. There was one metronidazole-resistant pediatric sample in 2018 and no resistance to vancomycin or tigecycline in either population. Conclusion: We have found differences in the epidemiological and molecular characteristics of adult and pediatric CDI, with higher thirty-day all-cause mortality among adults. Overall, RT106 has replaced RT027 as the predominant ribotype with a concomitant decrease in fluoroquinolone resistance.

Device and surgical procedure-related infections in Canadian acute care hospitals, 2018-2022.

Healthcare-associated infections (HAIs) are a significant healthcare burden in Canada. National surveillance of HAIs at sentinel acute care hospitals is conducted by the Canadian Nosocomial Infection Surveillance Program. This article describes device and surgical procedure-related HAI epidemiology in Canada from 2018 to 2022. Data were collected from over 60 Canadian sentinel acute care hospitals between January 1, 2018, and December 31, 2022, for central line-associated bloodstream infections (CLABSIs), hip and knee surgical site infections (SSIs), cerebrospinal fluid shunt (CSF) SSIs and paediatric cardiac SSIs. Case counts, rates, patient and hospital characteristics, pathogen distributions and antimicrobial resistance data are presented. Between 2018 and 2022, 2,258 device-related infections and 987 surgical procedure-related infections were reported. A significant rate increase was observed in adult mixed intensive care unit CLABSIs (1.07-1.93 infections per 1,000 line days, p=0.05) and a non-significant rate increase was observed in SSIs following knee arthroplasty (0.31-0.42 infections per 100 surgeries, p=0.45). A fluctuating rate trend was observed in CSF shunt SSIs over the time period and a significant rate decrease in paediatric cardiac SSIs was observed (68%, from 7.5-2.4 infections per 100 surgeries, p=0.01). The most commonly identified pathogens were coagulase-negative staphylococci (22.8%) among CLABSIs and Staphylococcus aureus (42%) among SSIs. Epidemiological and microbiological trends among selected device and surgical procedure-related HAIs are essential for benchmarking infection rates nationally and internationally, identifying any changes in infection rates or antimicrobial resistance patterns and helping inform hospital infection prevention and control and antimicrobial stewardship policies and programs.

Healthcare-associated infections and antimicrobial resistance in Canadian acute care hospitals, 2018-2022.

Healthcare-associated infections (HAIs) and antimicrobial resistance (AMR) continue to contribute to excess morbidity and mortality among Canadians. This report describes epidemiologic and laboratory characteristics and trends of HAIs and AMR from 2018 to 2022 (Candida auris, 2012-2022) using surveillance and laboratory data submitted by hospitals to the Canadian Nosocomial Infection Surveillance Program (CNISP) and by provincial and territorial laboratories to the National Microbiology Laboratory. Data collected from 88 Canadian sentinel acute care hospitals between January 1, 2018, and December 31, 2022, for Clostridioides difficile infections (CDIs), carbapenemase-producing Enterobacterales (CPE) infections, methicillin-resistant Staphylococcus aureus (MRSA) bloodstream infections (BSIs) and vancomycin-resistant Enterococcus (VRE) BSIs. Candida auris (C. auris) surveillance was initiated in 2019 by CNISP and in 2017 (retrospectively to 2012) by the National Microbiology Laboratory. Trend analysis for case counts, rates, outcomes, molecular characterization and AMR profiles are presented. From 2018 to 2022, decreased rates per 10,000 patient days were observed for CDIs (7% decrease; 5.42-5.02) and MRSA BSIs (2.9% decrease; 1.04-1.01). Infection rates for VRE BSIs increased by 5.9% (0.34-0.36). Infection rates for CPE remained low but increased by 133% (0.06-0.14). Forty-three C. auris isolates were identified in Canada from 2012 to 2022, with the majority in Western and Central Canada (98%). From 2018 to 2022, the incidence of MRSA BSIs and CDIs decreased and VRE BSI and CPE infections increased in the Canadian acute care hospitals participating in a national sentinel network (CNISP). Few C. auris isolates were identified from 2012 to 2022. Reporting standardized surveillance data to inform the application of infection prevention and control practices in acute care hospitals is critical to help decrease the burden of HAIs and AMR in Canada.

Plasmid genomic epidemiology of carbapenem-hydrolysing class D β-lactamase (CDHL)-producing Enterobacterales in Canada, 2010-2021.

Carbapenems are last-resort antibiotics for treatment of infections caused by multidrug-resistant Enterobacterales, but carbapenem resistance is a rising global threat due to the acquisition of carbapenemase genes. Oxacillinase-48 (bla OXA-48)-type carbapenemases are increasing in abundance in Canada and elsewhere; these genes are frequently found on mobile genetic elements and are associated with specific transposons. This means that alongside clonal dissemination, bla OXA-48-type genes can spread through plasmid-mediated horizontal gene transfer. We applied whole genome sequencing to characterize 249 bla OXA-48-type-producing Enterobacterales isolates collected by the Canadian Nosocomial Infection Surveillance Program from 2010 to 2021. Using a combination of short- and long-read sequencing, we obtained 70 complete and circular bla OXA-48-type-encoding plasmids. Using MOB-suite, four major plasmids clustered were identified, and we further estimated a plasmid cluster for 91.9 % (147/160) of incomplete bla OXA-48-type-encoding contigs. We identified different patterns of carbapenemase mobilization across Canada, including horizontal transmission of bla OXA-181/IncX3 plasmids (75/249, 30.1 %) and bla OXA-48/IncL/M plasmids (47/249, 18.9 %), and both horizontal transmission and clonal transmission of bla OXA-232 for Klebsiella pneumoniae ST231 on ColE2-type/ColKP3 plasmids (25/249, 10.0 %). Our findings highlight the diversity of OXA-48-type plasmids and indicate that multiple plasmid clusters and clonal transmission have contributed to bla OXA-48-type spread and persistence in Canada.

The Incidence and Risk Factors of Early Periprosthetic Joint Infections.

Periprosthetic joint infections (PJI) represent major complications in arthroplasty, contributing to increased patient morbidity and imposing substantial financial burdens. Meticulous surveillance of PJI occurrences and identification of associated risk factors is imperative for accurately gauging the incidence rates and implementing proactive infection control measures. This study aimed to ascertain the early incidence of PJI and elucidate the key risk factors involved in its occurrence. This monocentric, prospective descriptive study conducted between June 2018 and June 2019, including all patients aged 18 years and above who underwent hip and knee arthroplasty. The research documented and evaluated patient demographic characteristics, clinical findings, laboratory results, treatment practices, and potential risk factors associated with the surgical process. After the 90-day postoperative period, patients were categorized into PJI and non-PJI groups, allowing for a comprehensive comparison of identified risk factors. This study identified a cohort of 590 patients, of whom 185 underwent hip arthroplasties (31.4%) and 405 underwent knee arthroplasties (68.6%). The average age of the patients was 65.2 years, with females constituting 80.2% of the population. The overall incidence of early PJI was found to be 2.88% (n=17). Following hip arthroplasties, the PJI incidence was 4.86%, while knee arthroplasties exhibited a lower incidence of 1.9%. Several potential risk factors associated with PJI were identified, including comorbid diseases (adjusted odds ratio [aOR]=3.35, 95% confidence interval [CI]=1.18-9.47), preoperative length of stay (aOR=0.89, 95% CI=0.79-1.01), postoperative erythrocyte suspension replacement (aOR=1.96, 95% CI=0.71-5.44), and a National Nosocomial Infections Surveillance System (NNIS) score of 1 or higher (aOR=3.10, 95% CI=1.10-8.71). These factors were identified as potential contributors to the risk of PJI in patients undergoing hip and knee arthroplasties. Compared to other reported outcomes in the literature, this study observed a higher incidence of early-stage PJI. The higher incidence may be due to PJI surveillance deficiencies such as difficulty in post-discharge surgical site infection (SSI) follow-up, reporting, and bacterial sampling. This discrepancy underscores the importance of actively monitoring patients with risk factors for PJI development, including medical comorbidities and a high NNIS score. Implementing prospective active surveillance in such cases is deemed crucial for the timely identification and management of PJI.

Healthcare-Associated Infections and the Use of Antibiotics in German Hospitals.

A national point prevalence survey (PPS) of healthcare-associated infections (HAI) and antibiotic use (AU) was carried out in Germany in 2022 in the framework of the European PPS conducted by the European Centre for Disease Prevention and Control (ECDC). The objective was to determine the prevalence of HAI and AU in German hospitals and to compare the obtained values with those of the most recent previous PPS, which was carried out in 2016. The German National Reference Center for the Surveillance of Nosocomial Infections was entrusted with the organization of the PPS of 2022. As recommended by the ECDC, each hospital in a representative sample of 50 hospitals was invited to participate, and all other interested hospitals in Germany were also able to participate if desired. The data were collected by specially trained hospital staff in May, June, and July 2022. The definitions and methods put forth by the ECDC were used. Data from 66 586 patients in 252 hospitals were included. The prevalence of HAI in all participating hospitals was 4.9%, and that of AU was 26.9%. The HAI and AU prevalences were essentially unchanged in comparison to 2016. The most common types of HAI were surgical site infection (23.5%), lower respiratory tract infection (21.6%), and urinary tract infection (19.0%). HAI were just as frequent in 2022 as in 2016, affecting approximately one in twenty hospitalized patients on any given day.

Nosocomial infections: a look at the problem in the context of the global threat of antibiotic resistance (review)

Antibiotic resistance poses a serious threat to public health. The problem of nosocomial infections is inextricably linked with antibiotic resistance. Nosocomial infections in most cases are caused by the formation and spread of hospital strains that are resistant to antibacterial drugs. Nosocomial infections caused by multidrug-resistant microorganisms increase healthcare costs, lengthen hospital stays, and lead to extremely poor patient outcomes. The article systematizes data on the prevalence of nosocomial infections and examines the problem of antibiotic resistance of leading nosocomial pathogens. Approaches to monitoring and management of antibiotic resistance and epidemiological surveillance of nosocomial infections are analyzed. A promising area of research in public health is considered – osocomial infections associated with previous hospitalization.

Data quality review of the Brazilian nosocomial infections surveillance system

BackgroundSurveillance of healthcare-associated infections (HAIs) is an essential component of hospital infection prevention and control systems. We aimed to assess the quality of the data compiled by the Brazilian HAI Surveillance System from pediatric (PICUs) and neonatal intensive care units (NICUs), between 2012 and 2021. MethodsData Quality Review, including adherence, completeness, internal consistency, consistency over time, and consistency of population trend, were computed at both national and state levels based on quality metrics from World Health Organization Toolkit. Incidence rates (or incidence density) of ventilator-associated pneumonia (VAP) and central line-associated bloodstream infection (CLABSI) were obtained from the Brazilian National Nosocomial Infections Surveillance (NNIS) system. Data on sepsis-related mortality, spanning the period from 2012 to 2021, were extracted from the Brazilian National Health Service database (DATASUS). Additionally, correlations between sepsis-related mortality and incidence rates of VAP or CLABSI were calculated. ResultsThroughout the majority of the study period, adherence to VAP reporting remained below 75%, exhibiting a positive trend post-2016. Widespread outliers, as well as inconsistencies over time and in population trends, were evident across all 27 states. Only four states maintained consistent adherence levels above 75% for more than 8 years regarding HAI incidence rates. Notably, CLABSI in NICUs boasted the highest reporting adherence among all HAIs, with 148 periods out of 270 (54.8%) exhibiting reporting adherence surpassing 75%. Three states achieved commendable metrics for CLABSI in PICUs, while five states demonstrated favorable results for CLABSI in NICUs. ConclusionsWhile adherence to HAI report is improving among Brazilian states, an important room for improvement in the Brazilian NNIS exists. Additional efforts should be made by the Brazilian government to improve the reliability of HAI data, which could serve as valuable guidance for hospital infection prevention and control policies.

Epidemiology and infection control of vancomycin-resistant enterococci at a German university hospital: A three-year retrospective cohort study.

Vancomycin-resistant enterococci (VRE) occur in hospitalized patients, causing both infection and colonization. In recent years, there has been an increase in VRE in German and other hospitals, raising the question of how to control this epidemic best. To better understand the specific epidemiology and to guide infection control, we conducted a retrospective cohort study analyzing all patients with VRE at Hannover Medical School, a tertiary university clinic in Germany that specializes in solid organ transplantation. Epidemiologic and clinical characteristics of patients with VRE from 2015-2017 were collected. Basic epidemiologic parameters, including VRE incidence and incidence density, were calculated. Independent risk factors for nosocomial VRE infection compared to colonization were assessed using a logistic regression model. There were 1,492 VRE cases corresponding to 822 individual patients. The incidence was 0.8 VRE cases per 100 cases. A total of 536 (35.9%) of the 1,492 VRE cases were acquired nosocomially. Of the 1,492 cases, 912 cases had VRE-positive samples (894 Enterococcus (E.) faecium and 18 E. faecalis) in our hospital laboratory and the remaining cases were known VRE carriers. The vanB-phenotype was observed in 369 of the 894 (41.3%) E. faecium isolates and in 6 of the 18 (33.3%) E. faecalis isolates. There was an increase over time in the vanB-phenotype proportion in E. faecium (2015: 63 of 171, 36.8%, 2016: 115 of 322, 35.7% and 2017: 191 of 401, 47.6%). A total of 107 cases had a VRE infection (7.2% of all VRE cases) according to the criteria of the German National Reference Center for Surveillance of Nosocomial Infections. The remaining cases were only colonized. Among other factors, leukocytopenia (<1,000/μL), the use of a central venous catheter and the visceral surgery medical specialty were independently associated with nosocomial VRE infection. VRE imposed a relevant and increasing infection control burden at our hospital. Nosocomial VRE infection was predominantly found in certain medical specialties, such as hematology and oncology and visceral surgery. Infection control efforts should focus on these highly affected patient groups/specialties.

Extracorporeal membrane oxygenation for COVID-19-associated severe acute respiratory distress syndrome in Canada: Analysis of data from the Canadian Nosocomial Infection Surveillance Program.

Extracorporeal membrane oxygenation (ECMO) for COVID-19 across Canada has not been well-described. We studied trends for patients with COVID-19-related acute respiratory distress syndrome who received ECMO. Multicentre retrospective cohort study using data from the Canadian Nosocomial Infection Surveillance Program across four different waves. Surveillance data was collected between March 2020 and June 2022. We reported data stratified by ECMO status and wave. ECMO recipients comprised 299 (6.8%) of the 4,408 critically ill patients included. ECMO recipients were younger (median age 49 versus 62 years, p < 0.001), less likely to be vaccinated against COVID-19 (Wave 4 data: 5.3% versus 19%; p = 0.002), and had fewer comorbidities compared to patients who did not receive ECMO. Thirty-day all-cause mortality was similar between the ECMO and non-ECMO groups (23% versus 26%; p = 0.25). Among ECMO recipients, mortality tended to decrease across Waves 1 to 4: 48%, 31%, 18%, and 16%, respectively (p = 0.04 for trend). However, this was no longer statistically significant when removing the high mortality during Wave 1 (p = 0.15). Our findings suggest that critically ill patients in Canadian hospitals who received ECMO had different characteristics from those who did not receive ECMO. We also observed a trend of decreased mortality over the waves for the ECMO group. Possible explanatory factors may include potential delay in ECMO initiation during Wave 1, evolution of the virus, better understanding of COVID-19 disease and ECMO use, and new medical treatments and vaccines available in later waves. These findings may provide insight for future potential pandemics.

A predictive nomogram for surgical site infection in patients who received clean orthopedic surgery: a retrospective study

BackgroundSurgical site infection (SSI) is a common and serious complication of elective clean orthopedic surgery that can lead to severe adverse outcomes. However, the prognostic efficacy of the current staging systems remains uncertain for patients undergoing elective aseptic orthopedic procedures. This study aimed to identify high-risk factors independently associated with SSI and develop a nomogram prediction model to accurately predict the occurrence of SSI.MethodsA total of 20,960 patients underwent elective clean orthopedic surgery in our hospital between January 2020 and December 2021, of whom 39 developed SSI; we selected all 39 patients with a postoperative diagnosis of SSI and 305 patients who did not develop postoperative SSI for the final analysis. The patients were randomly divided into training and validation cohorts in a 7:3 ratio. Univariate and multivariate logistic regression analyses were conducted in the training cohort to screen for independent risk factors of SSI, and a nomogram prediction model was developed. The predictive performance of the nomogram was compared with that of the National Nosocomial Infections Surveillance (NNIS) system. Decision curve analysis (DCA) was used to assess the clinical decision-making value of the nomogram.ResultsThe SSI incidence was 0.186%. Univariate and multivariate logistic regression analysis identified the American Society of Anesthesiology (ASA) class (odds ratio [OR] 1.564 [95% confidence interval (CI) 1.029–5.99, P = 0.046]), operative time (OR 1.003 [95% CI 1.006–1.019, P < 0.001]), and D-dimer level (OR 1.055 [95% CI 1.022–1.29, P = 0.046]) as risk factors for postoperative SSI. We constructed a nomogram prediction model based on these independent risk factors. In the training and validation cohorts, our predictive model had concordance indices (C-indices) of 0.777 (95% CI 0.672–0.882) and 0.732 (95% CI 0.603–0.861), respectively, both of which were superior to the C-indices of the NNIS system (0.668 and 0.543, respectively). Calibration curves and DCA confirmed that our nomogram model had good consistency and clinical predictive value, respectively.ConclusionsOperative time, ASA class, and D-dimer levels are important clinical predictive indicators of postoperative SSI in patients undergoing elective clean orthopedic surgery. The nomogram predictive model based on the three clinical features demonstrated strong predictive performance, calibration capabilities, and clinical decision-making abilities for SSI.

Nosocomial infections in patients admitted in medical intensive care units in a tertiary health center in Western part of India and their hematological correlation

Background and Aim: Acquired infections (AIs) in medical intensive care units (MICUs) have become serious threats with increasing mortality and morbidity more so in the developing countries. The most common reason is lack of efficient infection control protocols. The national nosocomial infections surveillance system defines a nosocomial infection as a localized or systemic condition that results from adverse reaction to the presence of infectious agents or their toxins that were not present or incubating at the time of admission to the hospital. Critically ill patients are at increased risk of acquiring nosocomial infections because of their lower immune status. These infections being opportunistic, microbes of low virulence cause also cause disease in hospital patients whose immune systems are impaired. This study was conducted to study the association of leukocytosis in relation to nosocomial infections in MICU. Methods: A retrospective study was conducted at the MICU under the Department of Anesthesiology in collaboration with the Department of Microbiology and Department of Pathology of Mahatma Gandhi Medical College and Hospital, Navi Mumbai over six months. All the patients who were admitted in MICU and stayed for more than 48 hours were included in the present study. Results: A total of 805 patients were admitted in the MICU from January 1st to June 30th, 2017, for a period of 6 months. Out of 805 cases, 27 patients developed nosocomial infections amounting to 3.3% with male-to-female ratio of 2.8:1. The age of the patient ranged from 15 to 85 years with the mean age of 50 years. Male predominance was seen with 74% cases with mean age of 48.5 years. Maximum cases were seen in the geriatric age group mainly 6th to 7th decade comprising of 40.7% of all cases. In our study, bloodstream infection was the most common finding constituting 100% of the cases, followed by urinary tract infections. All the cases of nosocomial infections showed polymorphonuclear leukocytosis with shift to left. In our study, diabetes mellitus followed by hypertension and chronic kidney disease was the major contributory comorbidities comprising of 29.6%, 29.6%, and 22.2%, respectively. In our study, the invasive devices contributed to the overall outcome of the patients. Urinary catheters (all cases) were the most prevalent invasive device followed closely by Ryle’s tube (90%) and endotracheal tube (60%). Conclusions: Intensive care units (ICUs) comprise of less than 10% of the total hospital beds but contribute &gt;20% of all the nosocomial infections acquired in the hospital. World Health Organization (WHO) estimates the burden of nosocomial infections in hospitalized patients to be 7–12% globally, in contrast to the figures from India being alarmingly high varying from 11–83%.

Trends in SARS-CoV-2-related pediatric hospitalizations reported to the Canadian Nosocomial Infection Surveillance Program, March 2020 to December 2022.

This study describes trends in COVID-19 hospitalizations and healthcare-associated (HA) COVID-19 in Canada among pediatric (age <18 years) patients during pre-Omicron and Omicron-dominant periods. Prospective surveillance for COVID-19 infection. The Canadian Nosocomial Infection Surveillance Program is a sentinel surveillance system with 45 hospitals providing COVID-19 data on pediatric patients, including all 13 pediatric tertiary care facilities in Canada. Pediatric patients hospitalized with laboratory-confirmed COVID-19 at a participating hospital between March 1, 2020, and December 31, 2022. Analyzed case-level data on pediatric patients with COVID-19, including demographics, acquisition source, and outcomes. Among 5,143 pediatric cases, the majority (81%) were reported during the Omicron-dominant period (beginning December 26, 2021). However, a lower proportion required intensive care during the Omicron wave (11% vs 14%, P < 0.05); no difference in mortality was observed. Of those patients admitted to hospital due to COVID-19 (n = 2,700), 45% had at least one pre-existing comorbidity. The majority (90%) of patients with HA-COVID-19 were reported during the Omicron period. There was no difference in mortality between patients with HA and community-associated (CA) infection, although a greater proportion of CA infections led to intensive care unit admission (6% vs 13%, P < 0.01). Surveillance findings indicate that both HA- and CA-COVID-19 hospitalizations in Canada increased among pediatric patients following the emergence of the Omicron variant, although disease severity decreased. Pre-existing health conditions were common among pediatric patients hospitalized with COVID-19, highlighting the importance of preventing severe illness in this sub-population.

Uses of a real-time automatic nosocomial infection surveillance system to support prevention and control of hospital-acquired infections in the ICU.

The intensive care unit (ICU) caters to patients with severe illnesses or injuries who require constant medical attention. These patients are susceptible to infections due to their weak immune systems and prolonged hospital stays. This makes the ICU the specialty with the highest hospital-acquired infection (HAI) cases. The core dimension of infection prevention and control for ICUs is infection surveillance, which analyses the risk factors of HAI and implements comprehensive interventions for HAI prevention and control. Hence, this study aimed to investigate the potential risk factors for developing HAI in the ICU using real-time automatic nosocomial infection surveillance systems (RT-NISS) to surveil, and analyze the effectiveness of RT-NISS coupled with comprehensive interventions on HAI prevention and control in the ICU. A retrospective analysis was conducted using data from an RT-NISS for all inpatients in the ICU from January 2021 to December 2022. Univariate and multivariate logistic regression analyses were performed to analyse potential risk factors for HAI in the ICU. Surveillance of the prevalence proportion of HAI, the prevalence proportion of site-specific HAI, the proportion of ICU patients receiving antibiotics, the proportion of ICU patients receiving key antimicrobial combination, the proportion of HAI patients with pathogen detection, the proportion of patients with pathogen detection before antimicrobial treatment and the proportion of patients before receiving key antimicrobial combination, the utilization rate of devices and the rate of device-associated HAIs were monitored monthly by the RT-NISS. Comprehensive interventions were implemented in 2022, and we compared the results of HAIs between 2021 and 2022 to evaluate the effect of the RT-NISS application combined with comprehensive interventions on HAI prevention and control. The relative risk factors, observed as being a significantly higher risk of developing HAI, were hospitalization over 2 weeks, chronic lung diseases, chronic heart diseases, chronic renal diseases, current malignancy, hypohepatia, stroke, cerebrovascular accident, severe trauma, tracheal intubation and tracheostomy and urinary catheter. By implementing comprehensive interventions depending on infection surveillance by the RT-NISS in 2022, the prevalence proportion of HAI was reduced from 12.67% in 2021 to 9.05% in 2022 (χ2 = 15.465, p < 0.001). The prevalence proportion of hospital-acquired multidrug-resistant organisms was reduced from 5.78% in 2021 to 3.21% in 2022 (χ2 = 19.085, p < 0.001). The prevalence proportion of HAI in four sites, including respiratory tract infection, gastrointestinal tract infection, surgical site infection, and bloodstream infection, was also significantly reduced from 2021 to 2022 (both p < 0.05). The incidence of ventilator-associated pneumonia in 2022 was lower than that in 2021 (15.02% vs. 9.19%, χ2 = 17.627, p < 0.001). The adoption of an RT-NISS can adequately and accurately collect HAI case information to analyse the relative high-risk factors for developing HAIs in the ICU. Furthermore, implementing comprehensive interventions derived from real-time automation surveillance of the RT-NISS will reduce the risk and prevalence proportions of HAIs in the ICU.

Enhanced automated detection of outbreaks of a rare antimicrobial-resistant bacterial species.

Surveillance of antimicrobial resistance (AMR) is a crucial strategy to combat AMR. Using routine surveillance data, we could detect and control hospital outbreaks of AMR bacteria as early as possible. Previously, we developed a framework for automatic detection of clusters of AMR bacteria using SaTScan, a free cluster detection tool integrated into WHONET. WHONET is a free software used globally for microbiological surveillance data management. We applied this framework to data from the Japan Nosocomial Infections Surveillance (JANIS), one of the world's most comprehensive and largest national AMR surveillance systems. Although WHONET-SaTScan has several cluster detection algorithms, no published studies have compared how different algorithms can produce varying results in cluster detection. Here, we conducted a comparison to detect clusters of vancomycin-resistant enterococci (VRE), which has been rare in Japan, by analyzing combinations of resistance to several key antimicrobials ("resistance profiles") using the comprehensive national routine AMR surveillance data of JANIS and validated the detection capabilities of each algorithm using publicly available reports of VRE clusters. All publicly reported VRE hospital outbreaks were detected as statistical clusters using the space-time uniform algorithm implemented in WHONET-SaTScan. In contrast, only 18.8% of the publicly reported outbreaks were detected using another algorithm (space-time permutation). The space-time uniform algorithm was also effective in identifying hospital wards affected by outbreaks attributed to specific resistance profiles. Although half of the publicly reported outbreaks were attributed to VRE resistant to five particular antimicrobials, four other resistance profiles also contributed to the outbreaks, highlighting the diversity of AMR bacteria within these occurrences. Our comparison revealed a clear advantage in using an algorithm (space-time uniform) for detecting VRE clusters in WHONET-SaTScan based on national surveillance data and further demonstrated the capability to distinguish detected clusters based on resistance profiles.

Etiology of nosocomial infections in intensive care patients in German hospitals: An analysis of trends between 2008 and 2022

PurposeData from the intensive care component of the German hospital infection surveillance system (KISS) was used to investigate the epidemiology of pathogens responsible for the most frequent device-associated infections and their development over time. MethodThe 10 most common pathogens were identified for ventilator-associated lower respiratory tract infections (VALRTI), catheter associated urinary tract infections (CAUTI), and central venous catheter associated bloodstream infections (CVC-BSI). The development over time was analyzed based on three five-year time periods: 2008–2012, 2013–2017, 2018–2022. ResultsData from 1425 ICUs were included together with 121,762 device-associated infections with 138,299 isolated pathogens. A remarkable and significant increase in the frequency of Klebsiella spp. was found for VALRTI, that was almost twice as high during 2018–2022 compared to 2008–2012. For CAUTI, there was a significant increase of all Enterobacterales with the most prominent increase in Klebsiella spp. With regard to CVC-BSI, the situation for coagulase-negative staphylococci and E. coli was relatively stable; while there was a significant increase in Enterococcus spp. and Klebsiella spp. and a decrease in S. aureus. ConclusionKnowledge about the current frequency of pathogens responsible for nosocomial infections in intensive care units is important for guiding empirical antimicrobial therapy. Data from national nosocomial infection surveillance systems can provide relevant information about the development of pathogens.