BACKGROUND: Measles remains a major public health burden worldwide. Parents often hesitate to vaccinate children with chronic diseases. We investigated the association between the percentage of vaccination and chronic diseases and explore hospital infections\' role in the 2017-2019 measles outbreak across northern Vietnam provinces.
METHODS: A total of 2,064 children aged 0-15 years old admitted for measles to the National Children\'s Hospital during the outbreak were included in the study. Demographic information, clinical characteristics, vaccination statuses and laboratory examination were extracted from electronic medical records, vaccination records, or interviews with parents when other sources were unavailable.
RESULTS: The incidence rate that provincial hospitals sent to the National Children\'s Hospital was proportional to the population density of their provinces of residence. Early nosocomial transmission of measles was observed before community-acquired cases emerged in many provinces. Among patients aged over 18 months, those with chronic diseases had a proportion of vaccination of 9.4%, lower than patients without chronic diseases at 32.4%. Unvaccinated patients had a higher proportion of hospital-acquired infections with aOR = 2.42 (1.65-3.65), p < 0.001 relative to vaccinated patients. The proportion of hospital-acquired infections was higher among children with chronic diseases compared to those without, with aOR = 3.81 (2.90-5.02), p < 0.001.
CONCLUSIONS: Measles spread in healthcare settings prior to community cases that occurred in several provinces. We recommend enhancing hospital infection control by increasing staff training and improving early detection and isolation during non-outbreak periods. Measles patients with chronic diseases exhibited lower proportions of vaccination and faced a higher risk of hospital-acquired infections. It is crucial to establish comprehensive vaccination guidelines and enhance parental awareness regarding the significance and safety of measles vaccination to protect these vulnerable individuals.

Tuberculosis infection prevention and control (TB IPC) measures are a cornerstone of policy, but measures are diverse and variably implemented. Limited attention has been paid to the health system environment which influences successful implementation of these measures. We used qualitative system dynamics and group-model-building methods 1) develop a qualitative causal map of the interlinked drivers of Mycobacterium tuberculosis (Mtb) transmission in South African primary health care facilities which in turn, helped us to 2) identify plausible IPC interventions to reduce risk of transmission. Two one-day participatory workshops were held in 2019 with policy- and decision-makers at national and provincial level, and patient advocates and health professionals at clinic and district level. Causal loop diagrams were generated by participants and combined by investigators. The research team reviewed diagrams to identify the drivers of nosocomial transmission of Mtb in primary health care facilities. Interventions proposed by participants were mapped onto diagrams to identify anticipated mechanisms of action and effect. Three systemic drivers were identified: 1) Mtb nosocomial transmission is driven by bottlenecks in patient flow at given times; 2) IPC implementation and clinic processes are anchored within a staff \"culture of nominal compliance\"; and 3) limited systems-learning at policy level inhibits effective clinic management and IPC implementation. Interventions prioritised by workshop participants included infrastructural, organisational, and behavioural strategies that target three areas: 1) improve air quality; 2) improve use of personal protective equipment; and 3) reduce the number of individuals in the clinic. In addition to core mechanisms, participants elaborated specific additional enablers that would help sustain implementation. Qualitative system dynamics modelling (SDM) methods allowed us to capture stakeholder views and potential solutions to address the problem of sub-optimal TB IPC implementation. The participatory elements of SDM facilitated problem-solving and inclusion of multiple factors frequently neglected when considering implementation.

BACKGROUND: The prevention of methicillin-resistant S. aureus (MRSA) transmission in the healthcare setting is a priority in Infection Control practices. A cornerstone of this policy is contact tracing of nosocomial contacts after an unexpected MRSA finding. The objective of this retrospective study was to quantify the rates of MRSA transmission in different clinical settings.
METHODS: This multi-centre study included MRSA contact screening results from two regional hospitals and one academic hospital. MRSA contact tracing investigations from 2000 until 2019 were reviewed and post-contact screening results were included of index patients with an MRSA-positive culture and their unprotected contacts. Available typing results were used to rule out incidental findings.
RESULTS: Of 27,377 contacts screened after MRSA exposure, 21,488 were Health Care Workers (HCW) and 4816 patients. Post-contact screening was initiated for a total of 774 index cases, the average number of screened contacts per index case was 35.7 (range 1 to 640). MRSA transmission was observed in 0.15% (41) of the contacts, 19 (0.09%) HCW and 22 (0.46%) patients. The number needed to screen to detect one MRSA transmission was 667. The highest risk of MRSA transmission occurred during patient-to-patient contacts, with transmission rates varying from 0.32 to 1.32% among the participating hospitals. No transmissions were detected in HCW (n=2834) in the outpatient setting, and the rate of transmissions among HCW contacts on the wards was 0.13% (19 of 15,874). Among 344 contacts of patients with contact precautions, no transmissions were detected.
CONCLUSIONS: Reconsidering current MRSA contact tracing practices may lead to a more targeted approach with a lower number needed to screen.

BACKGROUND: Hospital infections with SARS-CoV-2 continued during the initial waves of the pandemic worldwide. So far, Data on the dynamics of these infections and the economic burden of outbreaks are rare.
METHODS: We retrospectively analysed SARS-CoV-2 infections in patients, hospital employees and nosocomial infections resulting in outbreaks in two hospitals of a secondary care hospital network in Germany during the initial 3 pandemic waves (03/2020-06/2021). In addition to hospital infections, we evaluated infection prevention strategies and the economic burden of hospital outbreaks.
RESULTS: A total of 396 patients with SARS-CoV-2 infection were hospitalized in both hospitals. The risk factors for severe disease and death increased with age, male sex and a CRB-65 score > 0. The most frequent symptom was dyspnoea (30.1%). Sixty-five patients died, most of whom were in the 2nd wave. A total of 182 (12.5%) hospital employees were infected, 63 (34.6%) of whom were involved in outbreaks. An occupational risk of infection during outbreaks was particularly common among nurses and HCWs working on regular wards. Eleven hospital outbreaks led to high economic impact on both hospitals through the loss of manpower as result of infected employees, temporary locked wards, blocked beds, a reduced number of total hospitalized patients and increased personnel costs.
CONCLUSIONS: Continuously adaptation of infection prevention strategies is a valuable tool to keep hospitals safe places for patients and employees. We do need more analyses of the different pandemic waves and applied infection prevention strategies to learn from weak points.
BACKGROUND: This research was conducted in accordance with the Declaration of Helsinki and national standards. The study protocol was approved by the relevant ethics committee of the Chamber of Physicians Westphalia-Lippe and University of Münster (no. 2021-475-f-S). The study was registered on 25th August 2021 at the German Clinical Trials Register (DRKS00025865).

BACKGROUND: Klebsiella pneumoniae (KP) is the second most prevalent Gram-negative bacterium causing bloodstream infections (BSIs). In recent years, the management of BSIs caused by KP has become increasingly complex due to the emergence of carbapenem-resistant Klebsiella pneumoniae (CRKP). Although numerous studies have explored the risk factors for the development of CRKP-BSIs, the mortality of patients with KP-BSIs, and the molecular epidemiological characteristics of CRKP, the variability in data across different populations, countries, and hospitals has led to inconsistent conclusions. In this single-center retrospective observational study, we utilized logistic regression analyses to identify independent risk factors for CRKP-BSIs and factors associated with mortality in KP-BSI patients. Furthermore, a risk factor-based prediction model was developed. CRKP isolates underwent whole-genome sequencing (WGS), followed by an evaluation of microbiological characteristics, including antimicrobial resistance and virulence genes, as well as epidemiological characteristics and phylogenetic analysis.
RESULTS: Our study included a total of 134 patients with KP-BSIs, comprising 50 individuals infected with CRKP and 84 with carbapenem-susceptible Klebsiella pneumoniae (CSKP). The independent risk factors for CRKP-BSIs were identified as gastric catheterization (OR = 9.143; CI = 1.357-61.618; P = 0.023), prior ICU hospitalization (OR = 4.642; CI = 1.312-16.422; P = 0.017), and detection of CRKP in non-blood sites (OR = 8.112; CI = 2.130-30.894; P = 0.002). Multivariate analysis revealed that microbiologic eradication after 6 days (OR = 3.569; CI = 1.119-11.387; P = 0.032), high Pitt bacteremia score (OR = 1.609; CI = 1.226-2.111; P = 0.001), and inappropriate empirical treatment after BSIs (OR = 6.756; CI = 1.922-23.753; P = 0.003) were independent risk factors for the 28-day mortality in KP-BSIs. The prediction model confirmed that microbiologic eradication after 6.5 days and a Pitt bacteremia score of 4.5 or higher were significant predictors of the 28-day mortality. Bioinformatics analysis identified ST11 as the predominant CRKP sequence type, with blaKPC-2 as the most prevalent gene variant. CRKP stains carried multiple plasmid-mediated resistance genes along with some virulence genes. Phylogenetic analysis indicated the presence of nosocomial transmission of ST11 CRKP within the ICU.
CONCLUSIONS: The analysis of risk factors for developing CRKP-BSIs and the association between KP-BSIs and 28-day mortality, along with the development of a risk factor-based prediction model and the characterization of CRKP strains, enhances clinicians\' understanding of the pathogens responsible for BSIs. This understanding may help in the timely administration of antibiotic therapy for patients with suspected KP-BSIs, potentially improving outcomes.

Pertussis is a vaccine-preventable respiratory disease. Pertussis vaccination is currently mandatory for all children in Italy, and is administered in three doses at the beginning of the third, fifth, and twelfth month of life, respectively. Booster doses are also recommended at five-six years, at eleven-twelve years, and then once every ten years. Healthcare workers (HCWs) are a high-risk population for pertussis. Strategies to increase HCWs\' compliance to this vaccination have not been investigated in depth. Our study investigates the determinants of acceptance of a \"soft nudge\" vaccination campaign in a large hospital in Apulia (Southern Italy). HCWs from the Gynaecology and Neonatology Units of Bari\'s Policlinico General Hospital were screened in June 2023 for pertussis vaccination. Non-vaccinated subjects were offered a vaccination appointment. Vaccination determinants were studied, and a logistic regression model was built to identify determinants that significantly influence vaccination acceptance. At the time of screening, only 31.34% of target HCWs (68/217) had already been vaccinated. After the active call intervention, vaccine coverage rose to 70.00% (152/217). Significantly higher coverage was found in the Neonatology Unit (30/43, 69.77%) than in the Gynaecology unit (54/106, 50.94%) (Chi2: 4.41; p-value: 0.036). A logistic regression model confirmed a higher compliance to vaccination in HCWs staffed in the Neonatology Unit (Chi2: 2.08; 95%CI: 1.04 - 4.73; p-value: 0.038). Our intervention increased vaccination coverage in a high-risk cohort. The solicitation was effective, as communication with a trained specialist might have improved the subjects\' perception of vaccination and individual risk of contagion and transmission to others. A synergistic approach, mixing active call with a vaccination mandate, might have greater effectiveness.

BACKGROUND: A clonal shift from staphylococcal cassette chromosome mec (SCCmec) type II/ST5 methicillin-resistant Staphylococcus aureus (MRSA) to SCCmec type IV/clonal complex (CC)1 MRSA has occurred rapidly in Japan. Our previous research in a geriatric hospital found SCCmec type IV/CC1 MRSA prevalence in long-term care wards. Due to intensive personal care requirements, frequent contact with healthcare providers can potentially cause unintentional nosocomial MRSA transmission. We performed polymerase chain reaction-based open reading frame typing (POT) and core genome multilocus sequence typing (cgMLST) to investigate the occurrence of nosocomial transmission and to compare the results of these methods.
METHODS: POT and whole genome sequencing were performed in 83 MRSA isolates. Commercial automated software (Ridom SeqSphere+) was used to perform cgMLST. MRSA isolates with 0-8 allelic differences were considered related, and medical records were consulted in these cases.
RESULTS: SCCmec type IV/CC1 MRSA was the most frequently detected clone (n = 56, 67.5 %), which was divided into 14 POT types, followed by SCCmec type I/ST8 (n = 9) and SCCmec type IV/ST8 (n = 8). Identical POT types were found across 7 of 11 wards. However, cgMLST analysis identified only three cases (six strains) of high genetic similarity, indicating nosocomial transmission; only one involved SCCmec type IV/CC1 (two strains). The mean allelic difference in the core genomes between strains with identical POT types in the same ward was 55.3 ± 22.0.
CONCLUSIONS: The cgMLST method proved more effective for identifying nosocomial transmissions compared to POT, highlighting its utility in tracking MRSA spread in healthcare settings.

BACKGROUND: The Co-FriSero study describes a COVID-19 outbreak at the Friedrichroda hospital in Thuringia, Germany, with 185 beds and 404 employees, at the onset of the pandemic between March 30th, 2020, and April 13th, 2020. This study aimed to analyze potential sources of SARS-CoV-2 transmission amongst hospital employees.
METHODS: After the outbreak, a comprehensive follow-up was conducted through a questionnaire and a seroprevalence study using two different immunoassays for IgG detection and a third for discordant results.
RESULTS: PCR screenings confirmed SARS-CoV-2 infection in 25 of 229 employees, with an additional 7 detected through serology. Statistical analysis indicated that direct patient contact, exposure to high flow ventilation in non-isolated rooms, direct contact with colleagues, shared use of recreational rooms, and carpooling were associated with an increased infection risk. Conversely, contact with family and friends, public transportation, public events, and use of locker rooms were not associated with infection. Male gender showed a lower infection likelihood, independent of age and other risk factors.
CONCLUSIONS: This study highlights the role of direct patient care and internal staff interactions in the spread of SARS-CoV-2 in the hospital setting. It suggests that non-traditional transmission routes like carpooling require consideration in pandemic preparedness.

Contamination of duodenoscopes is a significant concern due to the transmission of multidrug-resistant organisms (MDROs) among patients who undergo endoscopic retrograde cholangiopancreatography (ERCP), resulting in outbreaks worldwide. In July 2020, it was determined that three different patients, all had undergone ERCP with the same duodenoscope, were infected. Two patients were infected with blaCTX-M-15 encoding Citrobacter freundii, one experiencing a bloodstream infection and the other a urinary tract infection, while another patient had a bloodstream infection caused by blaSHV-12 encoding Klebsiella pneumoniae. Molecular characterization of isolates was available as every ESBL-producing isolate undergoes Next-Generation Sequencing (NGS) for comprehensive genomic analysis in our center. After withdrawing the suspected duodenoscope, we initiated comprehensive epidemiological research, encompassing case investigations, along with a thorough duodenoscope investigation. Screening of patients who had undergone ERCP with the implicated duodenoscope, as well as a selection of hospitalized patients who had ERCP with a different duodenoscope during the outbreak period, led to the discovery of three additional cases of colonization in addition to the three infections initially detected. No microorganisms were detected in eight routine culture samples retrieved from the suspected duodenoscope. Only after destructive dismantling of the duodenoscope, the forceps elevator was found to be positive for blaSHV-12 encoding K. pneumoniae which was identical to the isolates detected in three patients. This study highlights the importance of using NGS to monitor the transmission of MDROs and demonstrates that standard cultures may fail to detect contaminated medical equipment such as duodenoscopes.

Nosocomial infections threaten patient safety, and were widely reported during the COVID-19 pandemic. Effective hospital infection control requires a detailed understanding of the role of different transmission pathways, yet these are poorly quantified. Using patient and staff data from a large UK hospital, we demonstrate a method to infer unobserved epidemiological event times efficiently and disentangle the infectious pressure dynamics by ward. A stochastic individual-level, continuous-time state-transition model was constructed to model transmission of SARS-CoV-2, incorporating a dynamic staff-patient contact network as time-varying parameters. A Metropolis-Hastings Markov chain Monte Carlo (MCMC) algorithm was used to estimate transmission rate parameters associated with each possible source of infection, and the unobserved infection and recovery times. We found that the total infectious pressure exerted on an individual in a ward varied over time, as did the primary source of transmission. There was marked heterogeneity between wards; each ward experienced unique infectious pressure over time. Hospital infection control should consider the role of between-ward movement of staff as a key infectious source of nosocomial infection for SARS-CoV-2. With further development, this method could be implemented routinely for real-time monitoring of nosocomial transmission and to evaluate interventions.