Hospital Surveillance Research Articles

Characteristics and Outcomes Among Adults Aged ≥60 Years Hospitalized with Laboratory-Confirmed Respiratory Syncytial Virus - RSV-NET, 12 States, July 2022-June 2023.

Respiratory syncytial virus (RSV) causes substantial morbidity and mortality in older adults. In May 2023, two RSV vaccines were approved for prevention of RSV lower respiratory tract disease in adults aged ≥60 years. In June 2023, CDC recommended RSV vaccination for adults aged ≥60 years, using shared clinical decision-making. Using data from the Respiratory Syncytial Virus-Associated Hospitalization Surveillance Network, a population-based hospitalization surveillance system operating in 12 states, this analysis examined characteristics (including age, underlying medical conditions, and clinical outcomes) of 3,218 adults aged ≥60 years who were hospitalized with laboratory-confirmed RSV infection during July 2022-June 2023. Among a random sample of 1,634 older adult patients with RSV-associated hospitalization, 54.1% were aged ≥75 years, and the most common underlying medical conditions were obesity, chronic obstructive pulmonary disease, congestive heart failure, and diabetes. Severe outcomes occurred in 18.5% (95% CI=15.9%-21.2%) of hospitalized patients aged ≥60 years. Overall, 17.0% (95% CI=14.5%-19.7%) of patients with RSV infection were admitted to an intensive care unit, 4.8% (95% CI=3.5%-6.3%) required mechanical ventilation, and 4.7% (95% CI=3.6%-6.1%) died; 17.2% (95% CI=14.9%-19.8%) of all cases occurred in long-term care facility residents. These data highlight the importance of prioritizing those at highest risk for severe RSV disease and suggest that clinicians and patients consider age (particularly age ≥75 years), long-term care facility residence, and underlying medical conditions, including chronic obstructive pulmonary disease and congestive heart failure, in shared clinical decision-making when offering RSV vaccine to adults aged ≥60 years.

COVID-19-Associated Hospitalizations Among U.S. Adults Aged ≥65 Years - COVID-NET, 13 States, January-August 2023.

Adults aged ≥65 years remain at elevated risk for severe COVID-19 disease and have higher COVID-19-associated hospitalization rates compared with those in younger age groups. Data from the COVID-19-Associated Hospitalization Surveillance Network (COVID-NET) were analyzed to estimate COVID-19-associated hospitalization rates during January-August 2023 and identify demographic and clinical characteristics of hospitalized patients aged ≥65 years during January-June 2023. Among adults aged ≥65 years, hospitalization rates more than doubled, from 6.8 per 100,000 during the week ending July 15 to 16.4 per 100,000 during the week ending August 26, 2023. Across all age groups, adults aged ≥65 years accounted for 62.9% (95% CI=60.1%-65.7%) of COVID-19-associated hospitalizations, 61.3% (95% CI=54.7%-67.6%) of intensive care unit admissions, and 87.9% (95% CI=80.5%-93.2%) of in-hospital deaths associated with COVID-19 hospitalizations. Most hospitalized adults aged ≥65 years (90.3%; 95% CI = 87.2%-92.8%) had multiple underlying conditions, and fewer than one quarter (23.5%; 95% CI=19.5%-27.7%) had received the recommended COVID-19 bivalent vaccine. Because adults aged ≥65 years remain at increased risk for COVID-19-associated hospitalization and severe outcomes, guidance for this age group should continue to focus on measures to prevent SARS-CoV-2 infection, encourage vaccination, and promote early treatment for persons who receive a positive SARS-CoV-2 test result to reduce their risk for severe COVID-19-associated outcomes.

Efficacy and safety of in-hospital treatment of Covid-19 infection with low-dose hydroxychloroquine and azithromycin in hospitalized patients: A retrospective controlled cohort study

ObjectivesIn this study we evaluate the efficacy and safety of a treatment protocol with standard dose of hydroxychloroquine plus azithromycin in patients hospitalized with COVID-19 infection. MethodsWe conducted a retrospective analysis to compare the 28-day mortality rate in 352 patients treated with hydroxychloroquine with or without azithromycin (HCQ-group) in our hospital with a contemporary control group of 3533 patients receiving standard of care from the Belgian Collaborative Group on COVID-19 Hospital Surveillance. ResultsAll patients who received at least one dose of treatment were included in the analysis. A statistically significant reduction in crude mortality rate at 28 days was observed in the HCQ-group compared to standard of care (16.8% vs 25.9%,p ​= ​0.001).Patients in the treatment group were on average younger (69,7 vs73,1 years, p ​= ​0,0002), were less likely to smoke or to have malignancy and more likely to be male. Patients in the treatment group were more likely to be obese, immunocompromised or to have arterial hypertension, liver disease and lung disease.After adjustment for these variables the OR for mortality was 0.635 (95%CI 0.464–0.875). Patients who did not receive HCQ had a 57% higher risk of mortality. A survival benefit in the treatment group was consistent across all age groups. 13 patients discontinued treatment due to side effects (4 with QTc-prolongation>60msec (1.1%) and 9 because of gastro-intestinal symptoms (2.55%)). No episodes of ventricular arrhythmia or torsade de pointes were recorded during treatment. ConclusionTreatment of COVID-19 using a combination of hydroxychloroquine plus azithromycin was safe and was associated with a statistically significant mortality benefit in the treatment of COVID-19 infection in hospitalized patients. Our findings do not support the current negative recommendations regarding this treatment.

Severity of influenza-associated hospitalisations by influenza virus type and subtype in the USA, 2010–19: a repeated cross-sectional study

Influenza burden varies across seasons, partly due to differences in circulating influenza virus types or subtypes. Using data from the US population-based surveillance system, Influenza Hospitalization Surveillance Network (FluSurv-NET), we aimed to assess the severity of influenza-associated outcomes in individuals hospitalised with laboratory-confirmed influenza virus infections during the 2010-11 to 2018-19 influenza seasons. To evaluate the association between influenza virus type or subtype causing the infection (influenza A H3N2, A H1N1pdm09, and B viruses) and in-hospital severity outcomes (intensive care unit [ICU] admission, use of mechanical ventilation or extracorporeal membrane oxygenation [ECMO], and death), we used FluSurv-NET to capture data for laboratory-confirmed influenza-associated hospitalisations from the 2010-11 to 2018-19 influenza seasons for individuals of all ages living in select counties in 13 US states. All individuals had to have an influenza virus test within 14 days before or during their hospital stay and an admission date between Oct 1 and April 30 of an influenza season. Exclusion criteria were individuals who did not have a complete chart review; cases from sites that contributed data for three or fewer seasons; hospital-onset cases; cases with unidentified influenza type; cases of multiple influenza virus type or subtype co-infection; or individuals younger than 6 months and ineligible for the influenza vaccine. Logistic regression models adjusted for influenza season, influenza vaccination status, age, and FluSurv-NET site compared odds of in-hospital severity by virus type or subtype. When missing, influenza A subtypes were imputed using chained equations of known subtypes by season. Data for 122 941 individuals hospitalised with influenza were captured in FluSurv-NET from the 2010-11 to 2018-19 seasons; after exclusions were applied, 107 941 individuals remained and underwent influenza A virus imputation when missing A subtype (43·4%). After imputation, data for 104 969 remained and were included in the final analytic sample. Averaging across imputed datasets, 57·7% (weighted percentage) had influenza A H3N2, 24·6% had influenza A H1N1pdm09, and 17·7% had influenza B virus infections; 16·7% required ICU admission, 6·5% received mechanical ventilation or ECMO, and 3·0% died (95% CIs had a range of less than 0·1% and are not displayed). Individuals with A H1N1pdm09 had higher odds of in-hospital severe outcomes than those with A H3N2: adjusted odds ratios (ORs) for A H1N1pdm09 versus A H3N2 were 1·42 (95% CI 1·32-1·52) for ICU admission; 1·79 (1·60-2·00) for mechanical ventilation or ECMO use; and 1·25 (1·07-1·46) for death. The adjusted ORs for individuals infected with influenza B versus influenza A H3N2 were 1·06 (95% CI 1·01-1·12) for ICU admission, 1·14 (1·05-1·24) for mechanical ventilation or ECMO use, and 1·18 (1·07-1·31) for death. Despite a higher burden of hospitalisations with influenza A H3N2, we found an increased likelihood of in-hospital severe outcomes in individuals hospitalised with influenza A H1N1pdm09 or influenza B virus. Thus, it is important for individuals to receive an annual influenza vaccine and for health-care providers to provide early antiviral treatment for patients with suspected influenza who are at increased risk of severe outcomes, not only when there is high influenza A H3N2 virus circulation but also when influenza A H1N1pdm09 and influenza B viruses are circulating. The US Centers for Disease Control and Prevention.

Monitoring of airborne fungi during the second wave of COVID-19 in selected wards of the referral university hospital in southeastern Iran.

Microbiological monitoring of the air hospital is essential for prevention and control, due to the possible airborne route of infection transmission, especially in high-risk wards. This study aimed to monitor the airborne fungi during the second wave of the COVID-19 pandemic in selected wards of the biggest university educational hospital in Kerman, southeastern Iran. This study was conducted in 11 different wards, separated into the patient room and nursing station, of the Afzalipour hospital from May to August 2021. Fungal isolates were characterized to the species level by conventional and sequencing methods. Out of 93 obtained fungal colonies, 70 (75.3%) isolates were filamentous and 23 (24.7%) isolates were yeast. Aspergillus species were the predominant fungal isolates among the filamentous colonies (n=19; 27.1%), and Naganishia albida (formerly Cryptococcus albidus) was identified as the most common yeast isolate (n=13/23; 56.8%). The infectious ward was the most contaminated unit (n=19/93), while the least contaminated units were the neonatal intensive care unit (n=3/93), and oncology (n=3/93). The statistical findings displayed that the number of fungal isolates in patients' rooms is significantly higher than in nurses' stations (p-value=0.013). Our study demonstrated the presence of diverse fungal species in all wards of the hospital. Considering the presence of airborne fungi in hospitals and related public health problems is one of the critical issues for health systems management. In this regard, efficient monitoring of airborne fungi might play an influential role in hospital infection control and surveillance, particularly in high-risk hospitalization patients in critical wards.

Estimating the health burden of foodborne gastroenteritis caused by non-typhoidal Salmonella enterica and Vibrio parahaemolyticus in Zhejiang province, China.

As acute gastrointestinal (AGI) disease patients only sometimes seek medical care or submit stool samples for testing, and laboratories cannot detect or identify the pathogen, most cases of foodborne gastroenteritis still need to be identified through public health monitoring. We conducted a population survey and sentinel hospital surveillance to determine the burden of foodborne gastroenteritis caused by non-typhoidal Salmonella enterica (NTS) and Vibrio parahaemolyticus infection, from July 2018 to June 2019 in Zhejiang province, China, and a model for calculating disease burden established. Using the burden of illness pyramid model, we estimated that there were 140.3 cases of NTS infection and 136.2 cases of V. parahaemolyticus infection. We estimated annual incidence per 100,000 population in Zhejiang province as 236 (95% confidence interval [CI] 208-267) and 206 (95% CI 155-232) cases for foodborne NTS and V. parahaemolyticus gastroenteritis, respectively. The results show that AGI caused by these two pathogens constitutes a substantial burden in the Zhejiang population. The health burden of AGI estimations caused by NTS and V. parahaemolyticus in this study can serve as a strategic framework to direct policy and intervention.

Treatment effect of remdesivir on the mortality of hospitalised COVID-19 patients in Switzerland across different patient groups: a tree-based model analysis.

Remdesivir has shown benefits against COVID-19. However, it remains unclear whether, to what extent, and among whom remdesivir can reduce COVID-19-related mortality. We explored whether the treatment response to remdesivir differed by patient characteristics. We analysed data collected from a hospital surveillance study conducted in 21 referral hospitals in Switzerland between 2020 and 2022. We applied model-based recursive partitioning to group patients by the association between treatment levels and mortality. We included either treatment (levels: none, remdesivir within 7 days of symptom onset, remdesivir after 7 days, or another treatment), age and sex, or treatment only as regression variables. Candidate partitioning variables included a range of risk factors and comorbidities (and age and sex unless included in regression). We repeated the analyses using local centring to correct the results for the propensity to receive treatment. Overall (n = 21,790 patients), remdesivir within 7 days was associated with increased mortality (adjusted hazard ratios 1.28-1.54 versus no treatment). The CURB-65 score caused the most instability in the regression parameters of the model. When adjusted for age and sex, patients receiving remdesivir within 7 days of onset had higher mortality than those not treated in all identified eight patient groups. When age and sex were included as partitioning variables instead, the number of groups increased to 19-20; in five to six of those branches, mortality was lower among patients who received early remdesivir. Factors determining the groups where remdesivir was potentially beneficial included the presence of oncological comorbidities, male sex, and high age. Some subgroups of patients, such as individuals with oncological comorbidities or elderly males, may benefit from remdesivir.

Epidemiological characteristics of falls in the elderly in Jiangsu from 2006 to 2021

Objective: To understand the epidemiological characteristics and influencing factors of elderly unintentional fall-related injuries (EUFI) in Jiangsu from 2006 to 2021 and provide a scientific basis for the prevention of falls in the elderly and the formulation of related policies. Methods: Data on EUFI was collected from the first diagnosed cases in the injury surveillance hospitals in Jiangsu from 2006 to 2021, and epidemiological characteristics of injuries were analyzed. logistic regression was performed to identify the risk factors for EUFI. Results: The number of EUFI increased from 2006 to 2021, ranked as the first cause of elderly unintentional injuries during these years. The proportion of EUFI among elderly unintentional injuries increased in the same period. The male-to-female ratio is 1∶1.4. Falls mainly occurred during 8:00-10:00 am (32.7%). The most common place where falls occurred was at home (63.6%). From 2006 to 2014, leisure activities (62.1%), housework/study (23.1%), and work (5.2%) were the top three activities when injuries occurred. During 2015-2021, leisure activities (41.7%), housework/study (22.6%) and walking (20.5%) were the top three activities when injuries occurred. The major fall-related injuries were fractures (39.9%), with the injured parts at low limbs (32.5%), of which most were mild injuries (60.3%), and the primary outcome was hospitalization after treatment (74.1%). logistic regression showed that the risk factors of EUFI were female, old age, immigrants, winter, public residence, housework/study, and leisure activities. Higher education, occupation of household and production and transportation equipment operators were protective factors (all P<0.05). Conclusions: Fall is the leading cause of unintentional injuries in the elderly in Jiangsu, especially the elderly female population. Corresponding measures should be taken to prevent and intervene in falls in the elderly in the community according to the distribution characteristics.

Distribution of serotypes causing invasive pneumococcal disease in older adults from high-income countries and impact of pediatric and adult vaccination policies

BackgroundNeither indirect protection through use of 13-valent and 10-valent pneumococcal conjugate vaccines (PCV13 and PCV10) in pediatric National Immunization Programs (NIPs) nor direct vaccination with the 23-valent polysaccharide vaccine have eliminated vaccine serotype invasive pneumococcal disease (IPD) in older adults. Vaccinating older adults with higher-valency PCV15 and PCV20 could address remaining IPD due to pediatric PCV serotypes plus additional IPD due to serotypes included in these vaccines. MethodsWe collected serotype-specific IPD data in older adults (≥65 years in most countries), from national or regional surveillance systems or hospital networks of 33 high-income countries. Data were from official government websites, online databases, surveillance system reports, published literature, and personal communication with in-country investigators. Average percentages of IPD serotypes were calculated. ResultsAmong 52,905 cases of IPD with a serotype identified, PCV13 serotypes accounted for 33.7% of IPD (55.8% and 30.6% for countries with PCV10 and PCV13 in the pediatric NIP), most commonly serotypes 3 (14.9%) and 19A (7.0%). PCV15 and PCV20 would cover an additional 10.4% and 32.9% of older adult IPD beyond PCV13 serotypes (PCV10 countries: 7.7% and 23.3%; PCV13 countries: 10.6% and 34.6%). The most common of these additional serotypes were 8 (9.9%), 22F (7.9%), 12F (4.6%), and 11A (3.3%). PPSV23 policies for older adults were not correlated with lower IPD percentages due to PPSV23 serotypes. ConclusionsVaccinating older adults with higher-valency PCVs, especially PCV20, could substantially reduce the remaining IPD burden in high-income countries, regardless of current PCV use in pediatric NIPs and adult PPSV23 policies.

Predictors of Severity of Influenza-Related Hospitalizations: Results From the Global Influenza Hospital Surveillance Network (GIHSN).

The Global Influenza Hospital Surveillance Network (GIHSN) has since 2012 provided patient-level data on severe influenza-like-illnesses from >100 participating clinical sites worldwide based on a core protocol and consistent case definitions. We used multivariable logistic regression to assess the risk of intensive care unit admission, mechanical ventilation, and in-hospital death among hospitalized patients with influenza and explored the role of patient-level covariates and country income level. The data set included 73 121 patients hospitalized with respiratory illness in 22 countries, including 15 660 with laboratory-confirmed influenza. After adjusting for patient-level covariates we found a 7-fold increase in the risk of influenza-related intensive care unit admission in lower middle-income countries (LMICs), compared with high-income countries (P = .01). The risk of mechanical ventilation and in-hospital death also increased by 4-fold in LMICs, though these differences were not statistically significant. We also find that influenza mortality increased significantly with older age and number of comorbid conditions. Across all severity outcomes studied and after controlling for patient characteristics, infection with influenza A/H1N1pdm09 was more severe than with A/H3N2. Our study provides new information on influenza severity in underresourced populations, particularly those in LMICs.

The impact of COVID-19 pandemic on surveillance of influenza and influenza-like viruses: a single center experience

Aims: Influenza and the agents responsible for influenza-like illness (ILI) are a significant cause of upper and lower respiratory tract infections, with a notable pattern of seasonal incidence. The surveillance of influenza and agents causing ILI is important for the developmentof a prophylaxis approach and infection control. In the present study, we utilize the Reverse transcription-polymerase chain reaction (RT-PCR) method to identify the presence of influenza virus and other agents associated with ILI in nasopharyngeal smears obtained from patients exhibiting symptoms of influenza and ILI. The study sample included patients who were admitted to multiple clinics and intensive care units (ICU) of the Health Sciences University Ankara Training and Research Hospital in the period preceding, and in the initial months and first year following the coronavirus disease 2019 (COVID-19) outbreak. Throughthe comparisons made in the study, the intention is to gain a better understanding of the influence of the COVID-19 pandemic on other viral infectious agents transmitted via the respiratory tract.&#x0D; Methods: Included in the study were 257 admitted to different wards and ICUs of our hospital due to symptoms of upper or lower respiratory tract infection and ILI between 2015 and 2021 (excluding data from 2017–2018). The study was conducted prospectively within the scope of the Global Influenza Hospital Surveillance Network project. Using sterile swabs, nasopharyngeal swab samples were collected from inpatients who provided informed consent for their participation in the study, and the samples were placed in a viral transport medium. The presence of influenza viruses (Influenza A, subtypes of Influenza A and Influenza B) and agents causing ILI (i.e. respiratory syncytial virus, coronavirus) was investigated with an RT-PCR approach.&#x0D; Results: The most common symptoms among the 257 patients included in the study with pre-diagnoses of influenza and ILI were cough (82.2%), fever (67.7%), shortness of breath (66.1%) and myalgia (40%). The RT-PCR detected a viral agent in 60 (23.3%) of the 257 patients, whereas no agent could be detected in 197 (76.6%) patients. Furthermore, 51 (18.5%) tested positive for influenza virus, five (1.9%) for respiratory syncytial virus (RSV), and four (1.5%) for SARS-CoV-2. An analysis of the results within two distinct time frames, namely prior to the COVID-19 pandemic (2016–2017, 2019–prior to December 10, 2020) and during the COVID-19 pandemic (between December 11, 2020 and 2021), influenza viruses (influenza A H1N1 and influenza A H3N2), RSV and influenza type B were identified as the dominant viruses before the COVID-19 pandemic, while the predominant viruses were a single influenza strain and four SARS-CoV-2 variants during the COVID-19 pandemic.A significant difference was noted in the distribution of viruses between the two time frames – prior to the pandemic and during the pandemic. Of the patients, 199 (77.4%) were discharged with full recovery while 58 patients died (22.6%). Of the 58 patients that died, 25 were female (25/131 females) and 33 were male (33/126 males), 11 had tested positive for influenza virus andone for RSV, while no infectious agent could be identified in 46 patients. &#x0D; Conclusion: The implementation of molecular testing methods for the identification of viral infectious agents among inpatients during influenza and ILI outbreaks, administering antiviral and prophylactic treatments targeting influenza, RSV and SARS-CoV-2 infections, and adopting infection control measures, could significantly decrease mortality and morbidity rates while mitigating the complications associated with these infectious agents.

Computed Tomography Utilization in the Management of Children with Mild Head Trauma.

This study demonstrates the trend of computed tomography (CT) usage for children with mild traumatic brain injury (mTBI) in the context of the initiation of the Safe CT Imaging Collaborative Initiative to promote the Pediatric Emergency Care Applied Research Network (PECARN) rules at the acute care hospitals in New Jersey. We used administrative databases of 10 children's and 59 general hospitals to compare CT rates before 2014-2015, during 2016, and after the initiation of the program (2017-2019). The CT usage rates at baseline and the end of surveillance in children's hospitals (19.2% and 14.2%) were lower than in general hospitals (36.7% and 21.0%), p < 0.0001. The absolute mean difference from baseline to the end of surveillance in children's hospitals was 5.1% compared to a high of 9.7% in general hospitals, medium-high with 13.2%, and 14.0% in a medium volume of pediatric patients (p < 0.001-0.0001). The time-series model demonstrates a positive trend of CT reduction in pediatric patients with mTBI within four years of the program's implementation (p < 0.03-0.001). The primary CT reduction was recorded during the year of program implementation. Regression analysis revealed the significant role of a baseline CT usage rate in predicting the level of CT reduction independent of the volume of pediatric patients and type of hospital.

Monitoring Mental Health: Legal and Ethical Considerations of Using Artificial Intelligence in Psychiatric Wards.

Artificial intelligence (AI) is being tested and deployed in major hospitals to monitor patients, leading to improved health outcomes, lower costs, and time savings. This uptake is in its infancy, with new applications being considered. In this Article, the challenges of deploying AI in mental health wards are examined by reference to AI surveillance systems, suicide prediction and hospital administration. The examination highlights risks surrounding patient privacy, informed consent, and data considerations. Overall, these risks indicate that AI should only be used in a psychiatric ward after careful deliberation, caution, and ongoing reappraisal.

Epidemiological characteristics of the Covid-19 epidemic between 2020 and 2022 in Kongo central, DRC

The Democratic Republic of Congo (DRC) has experienced widespread community transmission of SARS-CoV-2 and has recorded four successive waves from March 2020 to March 2022. The objective of this study is to determine the socio-demographic characteristics of Covid-19 patients during these epidemic waves in the province of Kongo central and to identify factors associated with deaths. This is a cross-sectional study of Covid-19 data from the provincial surveillance system. The data consisted of epidemiological surveillance data, laboratory data (tests), hospital data and patient follow-up data. We determined the characteristics of positive cases throughout the period and implemented logistic regression of factors associated with death. During the successive waves, 9, 573 positive cases were reported in the province, 546 cases in the first wave and 6, 346 in the fourth wave. Seven positive cases out of 10 concerned people aged 25 to 64. The districts of Matadi, Moanda and Mbanza-Ngungu were the most affected. Age above 64 [OR: 7.2 CI:5.1-10.3] and wave 2 [OR: 4.4 CI:1.6-12.4] were the factors statistically associated with death. As in other African settings, age, comorbidities, higher socio-professional level and living in urban areas were the major risk factors for severe forms of the disease and death. Our analysis underlines the importance of collecting and analysing several epidemiological variables down to the provincial level over time for a better continuous knowledge of the situation.

Enhanced surveillance of hospitalised COVID-19 patients in Europe: I-MOVE-COVID-19 surveillance network, February 2020 to December 2021.

BackgroundIn early 2020, the I-MOVE-COVID-19 hospital surveillance system was adapted from an existing influenza surveillance system to include hospitalised COVID-19 cases.AimTo describe trends in the demographic and clinical characteristics of hospitalised COVID-19 cases across Europe during the first 2 years of the pandemic, and to identify associations between sex, age and chronic conditions with admission to intensive care or high dependency units (ICU/HDU) and in-hospital mortality.MethodsWe pooled pseudonymised data from all hospitalised COVID-19 cases in 11 surveillance sites in nine European countries, collected between 1 February 2020 and 31 December 2021. Associations between sex, age and chronic conditions, with ICU/HDU admission and in-hospital mortality were examined using Pearson's chi-squared test, and crude odds ratio (OR) estimates with respective 95% confidence intervals (CI).ResultsOf 25,971 hospitalised COVID-19 cases, 55% were male, 35% were 75 years or older and 90% had a chronic underlying condition. Patients with two or more chronic underlying conditions were significantly more likely to die in-hospital from COVID-19 (OR: 10.84; 95% CI: 8.30-14.16) than those without a chronic condition.ConclusionThe surveillance demonstrated that males, those 75 years or older and those with chronic conditions were at greater risk of in-hospital death. Over the surveillance period, outcomes tended to improve, likely because of vaccinations. This surveillance has laid the groundwork for further research studies investigating the risk factors of hospitalised COVID-19 cases and vaccine effectiveness.

Multidrug-resistant isolates from Ukrainian patients in a German health facility: a genomic surveillance study focusing on antimicrobial resistance and bacterial relatedness

PurposeAntimicrobial resistance is a pressing issue in Ukraine, with healthcare-associated infections caused by multidrug-resistant organisms being a major concern. A recent prospective multicenter study revealed a staggering rate of 48.4% antimicrobial resistance to carbapenems among Enterobacterales causing a healthcare-associated infection. We conducted a systematic survey to investigate the incidence rate and incidence density of carbapenemase-producing Gram-negative bacteria (CPGN) among refugees and war-wounded Ukrainians in connection with the German health system.MethodsFrom the onset of the war until November 2022, seven Ukrainian patients were admitted to our hospital. Upon admission, screening samples and samples from the focus of suspected infection were taken from all seven patients. The incidence rate and the incidence density of CPGN were calculated as a result of the microbiological findings. We sequenced all CPGN using Illumina technology.ResultsThe incidence rate of CPGN at our hospital was 0.06 for 2021 and 0.18 for 2022. All seven Ukrainian patients were infected or colonized with at least one CPGN, including K. pneumoniae (14/25), P. aeruginosa (6/25), A. baumannii (1/25), Providencia stutartii (1/25), C. freundii (1/25), and E. coli (2/25). Genomic surveillance revealed that (i) most frequently detected carbapenemases among all sequenced isolates were blaNDM (17/25) and blaOXA-48 (6/25), (ii) most commonly observed plasmid replicons among the K. pneumoniae isolates recovered from Ukrainian patients were Col(pHAD28) (12/14), IncHI1B(pNDM-MAR) (9/14), IncFIB(pNDM-Mar) (12/14), and (iii) clonal relation between the pathogens of the Ukrainian isolates, but not for the isolates from our hospital surveillance system.ConclusionThe rising prevalence of community-acquired colonization and infection with CPGN is having a direct effect on the infection prevention measures, such as higher number of isolations, reprocessing of patient rooms, additional microbiological testing and overall organization within hospitals.

HEALTHCARE-ASSOCIATED INFECTIONS IN THE RUSE REGION AND THE IMPACT OF THE COVID-19 PANDEMIC ON THEM

Effective measures to combat healthcare-associated infections are directly dependent on a thorough study of the prerequisites for their occurrence. The purpose of the study is to analyze healthcare-associated infections in the Ruse region of Bulgaria by medical facilities and the impact of the COVID-19 pandemic on them for 2014-2021. Materials and methods: The study covers the registration of patients who were served and registered healthcare-associated infections sorted by year in all medical facilities (9 units) in the district. The data was collected from the system for epidemiological surveillance of hospitals, and the analysis of the country and Ruse region and the analysis of the Ruse Regional Health Inspectorate. Documentary, statistical, and graphic methods are used. Results and discussion: The data show that the number of patients served in the district in 2014-2021 increased (71,501 people in 2014), with small fluctuations in 2017, among which it fell to the initial level of 71,014 for 2021. There are data on the influence of the population structure and the workload of medical facilities. One of the hospitals - University Multiprofile Hospital for Active Treatment "Kanev" JSC, Ruse accounts for almost half of the patients admitted for treatment. Reported cases of healthcare-associated infections in the region by year show holding at one level, with no sharp fluctuations until 2019. A link has been established between the increasing incidence of COVID-19 and registered healthcare-associated infections in 2020 and 2021. The COVID-19 pandemic affected both healthcare-associated infections prevalence and pathogen profiles. Conclusions: In the initial period from 2014 to 2016, surgical site infections - 49.38% (2014), 33.00% (2015), and 18.35% (2016) were leading in the structure of the health-care-associated infections, followed by respiratory infections 17.93%. (2014), urinary tract infections 13.32 % (2015), 17.23 % (2016). In the years of the pandemic, -2020 leading are lower respiratory tract infections at 27.93% and Pneumonia associated with intubation at 25.74% in 2021.

Establishing severe acute respiratory infection (SARI) surveillance in a sentinel hospital, Ireland, 2021 to 2022.

BackgroundIn 2020, due to the COVID-19 pandemic, the European Centre for Disease Prevention and Control (ECDC) accelerated development of European-level severe acute respiratory infection (SARI) surveillance.AimWe aimed to establish SARI surveillance in one Irish hospital as part of a European network E-SARI-NET.MethodsWe used routine emergency department records to identify cases in one adult acute hospital. The SARI case definition was adapted from the ECDC clinical criteria for a possible COVID-19 case. Clinical data were collected using an online questionnaire. Cases were tested for SARS-CoV-2, influenza and respiratory syncytial virus (RSV), including whole genome sequencing (WGS) on SARS-CoV-2 RNA-positive samples and viral characterisation/sequencing on influenza RNA-positive samples. Descriptive analysis was conducted for SARI cases hospitalised between July 2021 and April 2022.ResultsOverall, we identified 437 SARI cases, the incidence ranged from two to 28 cases per week (0.7-9.2/100,000 hospital catchment population). Of 431 cases tested for SARS-CoV-2 RNA, 226 (52%) were positive. Of 349 (80%) cases tested for influenza and RSV RNA, 15 (4.3%) were positive for influenza and eight (2.3%) for RSV. Using WGS, we identified Delta- and Omicron-dominant periods. The resource-intensive nature of manual clinical data collection, specimen management and laboratory supply shortages for influenza and RSV testing were challenging.ConclusionWe successfully established SARI surveillance as part of E-SARI-NET. Expansion to additional sentinel sites is planned following formal evaluation of the existing system. SARI surveillance requires multidisciplinary collaboration, automated data collection where possible, and dedicated personnel resources, including for specimen management.

Mapping the international ecosystem of national health data spaces. A scoping review protocol

Background: The reuse of participant-level health data by public health and surveillance institutions, hospitals, doctors, and patients is an emerging priority for a number of national governments. Technical and semantic interoperability of health data ecosystems is important for detecting and responding to global health challenges, including emerging infectious diseases, antimicrobial resistance, and vaccine-preventable illnesses. In this scoping review, we will identify and describe health data ecosystems, spaces, clouds, and commons, national-level mechanisms for enabling the reuse of participant-level health data. Methods and analysis: We will apply the Arskey and O’Malley scoping review approach to describe governance, content, and semantic and technical interoperability of data and metadata in national health data ecosystems. We selected a scoping rather than a systematic review methodology to provide a high-level analysis of the current state of health data ecosystems’ implementation of the FAIR principles for data resources. The systematic search strategy was pilot tested and tailored for Ovid(Medline), CINAHL, and Web of Science. We will also conduct web scraping and consult stakeholders to identify additional health data ecosystems. Two reviewers will conduct the title-abstract and full-text screening and data charting independently. Discrepancies will be resolved by consensus, and results will be summarized in narrative form. Ethics and dissemination: Ethical approval is not required for this scoping review of published studies and grey literature. The scoping review protocol was registered prior to initiating the search strategy. Study results will be submitted for publication in an Open Access journal.

Genotyping Characteristics of Human Fecal Escherichia coli and Their Association with Multidrug Resistance in Miyun District, Beijing

ObjectiveTo explore the genotyping characteristics of human fecal Escherichia coli (E. coli) and the relationships between antibiotic resistance genes (ARGs) and multidrug resistance (MDR) of E. coli in Miyun District, Beijing, an area with high incidence of infectious diarrheal cases but no related data. MethodsOver a period of 3 years, 94 E. coli strains were isolated from fecal samples collected from Miyun District Hospital, a surveillance hospital of the National Pathogen Identification Network. The antibiotic susceptibility of the isolates was determined by the broth microdilution method. ARGs, multilocus sequence typing (MLST), and polymorphism trees were analyzed using whole-genome sequencing data (WGS). ResultsThis study revealed that 68.09% of the isolates had MDR, prevalent and distributed in different clades, with a relatively high rate and low pathogenicity. There was no difference in MDR between the diarrheal (49/70) and healthy groups (15/24). ConclusionWe developed a random forest (RF) prediction model of TEM.1 + baeR + mphA + mphB + QnrS1 + AAC.3-IId to identify MDR status, highlighting its potential for early resistance identification. The causes of MDR are likely mobile units transmitting the ARGs. In the future, we will continue to strengthen the monitoring of ARGs and MDR, and increase the number of strains to further verify the accuracy of the MDR markers.