Persistence of viable but nonculturable Legionella pneumophila state in hospital water systems: A hidden enemy?

There is little evidence of the long-term consequences of maintaining sanitary hot water at high temperatures on the persistence of Legionella in the plumbing system. The aims of this study were to describe the persistence and genotypic variability of L. pneumophila in a hospital building with two entirely independent hot water distribution systems, and to estimate the thermotolerance of the genotypic variants by studying the quantity of VBNC L. pneumophila. Eighty isolates from 55 water samples obtained between the years 2012-2017 were analyzed. All isolates correspond to L. pneumophila serogroup 6. The isolates were discriminated in four restriction patterns by pulsed-field gel electrophoresis. In one installation, pattern A + Aa predominated, accounting for 75.8 % of samples, while the other installation exhibited pattern B as the most frequent (81.8 % of samples; p < 0.001). The mean temperature of the isolates was: 52.6 °C (pattern A + Aa) and 55.0 °C (pattern B), being significantly different. Nine strains were selected as representative among patterns to study their thermotolerance by flow-cytometry after 24 h of thermic treatment. VBNC bacteria were detected in all samples. After thermic treatment at 50 °C, 52.0 % of bacteria had an intact membrane, and after 55 °C this percentage decreased to 23.1 %. Each pattern exhibited varying levels of thermotolerance. These findings indicate that the same hospital building can be colonized with different predominant types of Legionella if it has independent hot water installations. Maintaining a minimum temperature of 50 °C at distal points of the system would allow the survival of replicative L. pneumophila. However, the presence of Legionella in hospital water networks is underestimated if culture is considered as the standard method for Legionella detection, because VBNC do not grow on culture plates. This phenomenon can carry implications for the Legionella risk management plans in hospitals that adjust their control measures based on the microbiological surveillance of water.

Impact of metabolic dysfunction-associated steatotic liver disease on COVID-19 hospitalizations: A propensity-matched analysis of the United States.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD), formally known as nonalcoholic fatty liver disease, is the most common chronic liver disease in the United States. Patients with MASLD have been reported to be at a higher risk of developing severe coronavirus disease 2019 (COVID-19) and death. However, most studies are single-center studies, and nationwide data in the United States is lacking. AIM: To study the influence of MASLD on COVID-19 hospitalizations during the initial phase of the pandemic. METHODS: We retrospectively analyzed the 2020 National Inpatient Sample (NIS) database to identify primary COVID-19 hospitalizations based on an underlying diagnosis of MASLD. A matched comparison cohort of COVID-19 hospitalizations without MASLD was identified from NIS after 1: N propensity score matching based on gender, race, and comorbidities, including hypertension, heart failure, diabetes, and cirrhosis. The primary outcomes included inpatient mortality, length of stay, and hospitalization costs. Secondary outcomes included the prevalence of systemic complications. RESULTS: A total of 2210 hospitalizations with MASLD were matched to 2210 hospitalizations without MASLD, with a good comorbidity balance. Overall, there was a higher prevalence of severe disease with more intensive care unit admissions (9.5% vs 7.2%, P = 0.007), mechanical ventilation (7.2% vs 5.7%, P = 0.03), and septic shock (5.2% vs 2.7%, P <0.001) in the MASLD cohort than in the non-MASLD cohort. However, there was no difference in mortality (8.6% vs 10%, P = 0.49), length of stay (5 d vs 5 d, P = 0.25), and hospitalization costs (42081.5 $ vs 38614$, P = 0.15) between the MASLD and non-MASLD cohorts. CONCLUSION: The presence of MAFLD with or without liver cirrhosis was not associated with increased mortality in COVID-19 hospitalizations; however, there was an increased incidence of severe COVID-19 infection. This data (2020) predates the availability of COVID-19 vaccines, and many MASLD patients have since been vaccinated. It will be interesting to see if these trends are present in the subsequent years of the pandemic.

Machine learning models using symptoms and clinical variables to predict coronary artery disease on coronary angiography.

Introduction: Coronary angiography (CAG) is invasive and expensive, while numbers of patients suspected of coronary artery disease (CAD) undergoing CAG results have no coronary lesions. Aim: To develop machine learning algorithms using symptoms and clinical variables to predict CAD. Material and methods: This study was conducted as a cross-sectional study of patients undergoing CAG. We randomly chose 2082 patients from 2602 patients suspected of CAD as the training set, and 520 patients as the test set. We utilized LASSO regression to do feature selection. The area under the receiver operating characteristic curve (AUC), confusion matrix of different thresholds, positive predictive value (PPV) and negative predictive value (NPV) were shown. Support vector machine algorithm performances in 10 folds were conducted in the training set for detecting severe CAD, while XGBoost algorithm performances were conducted in the test set for detecting severe CAD. Results: The algorithm of logistic regression achieved an average AUC of 0.77 in the training set during 10-fold validation and an AUC of 0.75 in the test set. When probability predicted by the model was less than 0.1, 11 patients in the test set (520 patients) were screened out, and NPV reached 90.9%. When probability predicted by the model was less than 0.2, 110 patients in the test set were screened out, and reached 83.6%. Meanwhile, when threshold was set to 0.9, PPV reached 97.4%. When the threshold was set to 0.8, PPV reached 91.5%. Conclusions: Machine learning algorithm using data from hospital information systems could assist in severe CAD exclusion and confirmation, and thus help patients avoid unnecessary CAG.

Impact of dynamic parameter of trends in vital signs on the prediction of serious events in hospitalized patients -a retrospective observational study.

Aim: Although early detection of patients' deterioration may improve outcomes, most of the detection criteria use on-the-spot values of vital signs. We investigated whether adding trend values over time enhanced the ability to predict adverse events among hospitalized patients. Methods: Patients who experienced adverse events, such as unexpected cardiac arrest or unplanned ICU admission were enrolled in this retrospective study. The association between the events and the combination of vital signs was evaluated at the time of the worst vital signs 0-8 hours before events (near the event) and at 24-48 hours before events (baseline). Multivariable logistic analysis was performed, and the area under the receiver operating characteristic curve (AUC) was used to assess the prediction power for adverse events among various combinations of vital sign parameters. Results: Among 24,509 in-patients, 54 patients experienced adverse events(cases) and 3,116 control patients eligible for data analysis were included. At the timepoint near the event, systolic blood pressure (SBP) was lower, heart rate (HR) and respiratory rate (RR) were higher in the case group, and this tendency was also observed at baseline. The AUC for event occurrence with reference to SBP, HR, and RR was lower when evaluated at baseline than at the timepoint near the event (0.85 [95%CI: 0.79-0.92] vs. 0.93 [0.88-0.97]). When the trend in RR was added to the formula constructed of baseline values of SBP, HR, and RR, the AUC increased to 0.92 [0.87-0.97]. Conclusion: Trends in RR may enhance the accuracy of predicting adverse events in hospitalized patients.

The Value of Emergency Care Data Set (ECDS) Presentation Codes for Predicting Mortality and Inpatient Admission.

BACKGROUND:  Early identification of patients at higher risk of death and hospital admission is an important problem in Emergency Departments (ED). Most triage scales were developed before current electronic healthcare records were developed. The implementation of a national Emergency Care Data Set (ECDS) allows for the standardised recording of presenting complaints and the use of Electronic Patient Records (EPR) offers the potential for automated triage. The mortality risk and need for hospital admission associated with the different presenting complaints in a standardised national data set has not been previously reported. This study aimed to quantify the risks of death and hospitalisation from presenting complaints. This would be valuable in developing automated triage tools and decision support software. METHODS: We conducted an observational retrospective cohort study on patients who visited a single ED in 2021. The presenting complaints related to subsequent attendances were excluded. This patient list was then manually matched with a routinely collected list of deaths. All deaths that occurred within 30 days of attendance were included. RESULTS: Data was collected from 84,999 patients, of which 1,159 people died within 30 days of attendance. The mortality rate was the highest in cardiac arrest [32 (78.1%)], cardiac arrest due to trauma [2(50%)] and respiratory arrest [3(50%)]. Drowsy [17(12%)], hypothermia [3(13%)] and cyanosis [1(10%)] were also high-risk categories. Chest pain [34(0.6%)] was not a high-risk presenting complaint. CONCLUSION: The initial presenting complaint in ECDS may be useful to identify people at higher and lower risk of death. This information is useful for building automated triage models.

Impact of Multimodal Rehabilitation Protocol in a 20-Year-Old Patient With Cherubism Undergone Facial Surgery: A Rare Case Report.

Cherubism, a rare autosomal dominant disorder, presents with symmetrical, painless jaw extension due to fibrous tissue ossification, often referred to as hereditary fibrous dysplasia of the jaw. It typically manifests with progressive mandibular and maxillary swelling from childhood to adolescence, with exacerbation over time. A 20-year-old male presented with facial and jaw swelling, causing restricted jaw movements. Computed tomography confirmed the cherubism diagnosis. Subsequently, the patient underwent oral surgery for bone shaving and shaping. Post-surgery, a five-week physiotherapy regimen was initiated, emphasizing joint mobility preservation through active range-of-motion exercises and proprioceptive neuromuscular facilitation for facial expression and dyspnea alleviation. Following physiotherapy, significant improvements were observed, including enhanced respiratory function, increased cervical muscle strength, improved respiratory clearance, and reduced anxiety and depression levels. This case highlights the importance of physiotherapy in cherubism rehabilitation, a novel approach deserving further exploration.

Increasing access to pediatric surgical care: Assessing district hospital readiness in rural Rwanda.

Introduction/Background: Safe and quality surgery is crucial for child health. In Rwanda, district hospitals serve as primary entry points for pediatric patients needing surgical care. This paper reports on the organizational readiness and facility capacity to provide pediatric surgery in three district hospitals in rural Rwanda. Methods: We administered the Children's Surgical Assessment Tool (CSAT), adapted for a Rwandan district hospital, to assess facility readiness across 5 domains (infrastructure, workforce, service delivery, financing, and training) at three Partners in Health supported district hospitals (Kirehe, Rwinkwavu, and Butaro District Hospitals). We used the Safe Surgery Organizational Readiness Tool (SSORT) to measure perceived individual and team readiness to implement surgical quality improvement interventions across 14 domains. Results: None of the facilities had a dedicated pediatric surgeon, and the most common barriers to pediatric surgery were lack of surgeon (68%), lack of physician anesthesiologists (19%), and inadequate infrastructure (17%). There were gaps in operating and recovery room infrastructure, and information management for pediatric outpatients and referrals. In SSORT interviews (n=47), the highest barriers to increasing pediatric surgery capacity were facility capacity (mean score=2.6 out of 5), psychological safety (median score=3.0 out of 5), and resistance to change (mean score=1.5 out of 5 with 5=no resistance). Conclusions: This study highlights challenges in providing safe and high-quality surgical care to pediatric patients in three rural district hospitals in Rwanda. It underscores the need for targeted interventions to address facility and organizational barriers prior to implementing interventions to expand pediatric surgical capacity.

Preparing safe discharge in a complex practice: A qualitative study of nurses' approach to patients with COPD's hospital discharge from two pulmonary medicinal wards.

INTRODUCTION: It remains unclear why 17% of patients with acute exacerbations of chronic obstructive pulmonary disease (COPD) treated in Danish hospitals are readmitted within 30 days. Hospital discharge is multifaceted. However, the preparation process and nurses' efforts may be essential in ensuring a successful discharge. AIM: To explore the process of preparing discharge for patients with COPD in a hospital setting. METHOD: Using constructivist grounded theory, we observed 11 nurses' work at two pulmonary medical wards using participant observation. Data collection and analysis were conducted using a constant comparative process encompassing three phases: initial, focused and theoretical. RESULTS: We identified important perspectives influencing nurses when patients with COPD are discharged from two pulmonary medical wards. We generated a substantial theory of how nurses integrate various perspectives into their handling of hospital discharge. The theory contains three discharge approaches: co-creating, hesitating and socialising. The co-creating approach focuses on patient and relative involvement and systematic task solution, embedded in a biopsychosocial process, aiming to achieve a safe and sustainable discharge. In contrast, the hesitating approach focuses on discharging patients in line with system requirements and colleagues' expectations. Finally, the socialising approach focuses on creating a pleasant discharge experience for patients and colleagues alike. CONCLUSION: This study illuminates three distinct approaches adopted by nurses when discharging a patient with COPD. The co-creating process encompasses patient involvement and systematic task resolution, incorporating a biopsychosocial process. In contrast, the other approaches are more limited in scope: the hesitating approach aims for harmony and collegial consensus, while the socialising approach focuses on ensuring a pleasant discharge experience for everyone. Nurses should therefore be mindful of the approach they adopt and the values associated with it in order to optimise their management of hospital discharge processes.

An Analysis of Healthcare Usage & Place of Death in England for All Adults Who Died in 2021/22.

OBJECTIVE: We wanted to examine the healthcare use and non-elective activity in the UK population of expected deaths over an 1-year period to highlight and examine the reasons for variation. We did this to identify areas to focus interventions or resources on to reduce unnecessary emergency care use at the end of life. METHODS AND ANALYSIS: We assembled a data set of approximately 400 000 adults who died in England in the financial year 2021/22 (April 2021-March 2022). Any adults classified as a 'sudden death' were excluded. We used available data to ensure outcome measures were relevant used expert consensus to agree what to examine. We recorded place of death and examined urgent care in terms of admissions in the last year and 90 days of life. We also used recorded hospital care days as elective and non-elective usage. RESULTS: There were over 400 000 decedents included in our regression models. Close to half died in hospital (44%). Three-quarters (77%) had at least one day of unplanned hospital care in the 90 days before they died, and half (56%) had at least one day of planned hospital care. CONCLUSION: Reliance on urgent care for those approaching end-of-life may indicate poor care planning and integration of services. A relatively modest increase in the amount of community care a person receives at end-of-life can substantially reduce the likelihood of dying in hospital. Those with a cancer cause of death are far less likely to die in hospital.

Performance of postmortem CT in the diagnosis of natural death from out-of-hospital cardiac arrest.

PURPOSE: Postmortem CT (PMCT) is used widely to identify the cause of death. However, its diagnostic performance in cases of natural death from out-of-hospital cardiac arrest (OHCA) may be unsatisfactory because the cause tends to be cardiogenic and cannot be detected on PMCT images. We retrospectively investigated the diagnostic performance of PMCT in the diagnosis of natural death from OHCA and compared it to that of unnatural death. MATERIALS AND METHODS: Our series included 450 cases; 336 were natural- and 114 were unnatural death cases. Between 2018 and 2022 all underwent non-contrast PMCT to identify the cause of death. Two radiologists reviewed the PMCT images and categorized them as diagnostic (PMCT alone sufficient to determine the cause of death), suggestive (the cause of death was suggested but additional information was needed), and non-diagnostic (the cause of death could not be determined on PMCT images). The diagnostic performance of PMCT was defined by the percentage of diagnosable and suggestive cases and compared between natural- and unnatural death cases. Interobserver agreement for the cause of death on PMCT images was also assessed with the Cohen kappa coefficient of concordance. RESULTS: The diagnostic performance of PMCT for the cause of natural- and unnatural deaths from OHCA was 30.3% and 66.6%, respectively (p < 0.01). The interobserver agreement for the cause of natural- and unnatural deaths on PMCT images was very good with kappa value 0.92 and 0.96, respectively. CONCLUSION: As PMCT identified the cause of natural death by OHCA in only 30% of cases, its diagnostic performance must be improved.

Decision support systems for antibiotic prescription in hospitals: a survey with hospital managers on factors for implementation.

BACKGROUND: Inappropriate antimicrobial use, such as antibiotic intake in viral infections, incorrect dosing and incorrect dosing cycles, has been shown to be an important determinant of the emergence of antimicrobial resistance. Artificial intelligence-based decision support systems represent a potential solution for improving antimicrobial prescribing and containing antimicrobial resistance by supporting clinical decision-making thus optimizing antibiotic use and improving patient outcomes. OBJECTIVE: The aim of this research was to examine implementation factors of artificial intelligence-based decision support systems for antibiotic prescription in hospitals from the perspective of the hospital managers, who have decision-making authority for the organization. METHODS: An online survey was conducted between December 2022 and May 2023 with managers of German hospitals on factors for decision support system implementation. Survey responses were analyzed from 118 respondents through descriptive statistics. RESULTS: Survey participants reported openness towards the use of artificial intelligence-based decision support systems for antibiotic prescription in hospitals but little self-perceived knowledge in this field. Artificial intelligence-based decision support systems appear to be a promising opportunity to improve quality of care and increase treatment safety. Along with the Human-Organization-Technology-fit model attitudes were presented. In particular, user-friendliness of the system and compatibility with existing technical structures are considered to be important for implementation. The uptake of decision support systems also depends on the ability of an organization to create a facilitating environment that helps to address the lack of user knowledge as well as trust in and skepticism towards these systems. This includes the training of user groups and support of the management level. Besides, it has been assessed to be important that potential users are open towards change and perceive an added value of the use of artificial intelligence-based decision support systems. CONCLUSION: The survey has revealed the perspective of hospital managers on different factors that may help to address implementation challenges for artificial intelligence-based decision support systems in antibiotic prescribing. By combining factors of user perceptions about the systems´ perceived benefits with external factors of system design requirements and contextual conditions, the findings highlight the need for a holistic implementation framework of artificial intelligence-based decision support systems.

Short-Term Nitrogen Dioxide Exposure and Emergency Hospital Admissions for Asthma in Children: A Case-Crossover Analysis in England.

Background: There is an increasing body of evidence associating short-term ambient nitrogen dioxide (NO2) exposure with asthma-related hospital admissions in children. However, most studies have relied on temporally resolved exposure information, potentially ignoring the spatial variability of NO2. We aimed to investigate how daily NO2 estimates from a highly resolved spatio-temporal model are associated with the risk of emergency hospital admission for asthma in children in England. Methods: We conducted a time-stratified case-crossover study including 111,766 emergency hospital admissions for asthma in children (aged 0-14 years) between 1st January 2011 and 31st December 2015 in England. Daily NO2 levels were predicted at the patients' place of residence using spatio-temporal models by combining land use data and chemical transport model estimates. Conditional logistic regression models were used to obtain the odds ratios (OR) and confidence intervals (CI) after adjusting for temperature, relative humidity, bank holidays, and influenza rates. The effect modifications by age, sex, season, area-level income deprivation, and region were explored in stratified analyses. Results: For each 10 µg/m³ increase in NO2 exposure, we observed an 8% increase in asthma-related emergency admissions using a five-day moving NO2 average (mean lag 0-4) (OR 1.08, 95% CI 1.06-1.10). In the stratified analysis, we found larger effect sizes for male (OR 1.10, 95% CI 1.07-1.12) and during the cold season (OR 1.10, 95% CI 1.08-1.12). The effect estimates varied slightly by age group, area-level income deprivation, and region. Significance: Short-term exposure to NO2 was significantly associated with an increased risk of asthma emergency admissions among children in England. Future guidance and policies need to consider reflecting certain proven modifications, such as using season-specific countermeasures for air pollution control, to protect the at-risk population.

Impact of Structural Employee Empowerment on Hospital Ratings: Mediating Role of Social Climate and First-Line Managers' Resilience.

Objective: The purpose of this article is to investigate the relationship between the structural empowerment of first-line health managers and health facility performance, examining the mediating roles of resilience and social climate in shaping the ratings of Slovak hospitals. Additionally, we aim to investigate the deeper mechanisms of this relationship, particularly the impact of resilience and the social climate, which can positively influence it. Materials and Methods: The data collection was conducted through a questionnaire survey in February 2022. Respondents included 540 healthcare managers at the first level of management from 44 Slovak hospitals, all of which were part of the evaluation by the Institute for Economic and Social Reforms (INEKO). The analysis involved the use of the PLS-SEM method to examine the relationships between variables and assess direct and indirect effects, utilizing SmartPLS 3.3 software. Results: The findings reveal a positive association between the structural empowerment of first-level managers and the ranking of health facilities. The hypotheses regarding the mediation of both variables - First-Level Managers' (FLMs) resilience and social climate - are supported, whether considered separately or jointly. In the case of joint mediation, a significant portion of the indirect effect is conveyed through FLMs' resilience, suggesting a potential avenue of support from hospital management to enhance health facility ratings. Conclusion: Structural empowerment of first-line managers establishes the conditions for improving the ratings of health facilities. The total effect is significantly more pronounced in promoting their resilience and fostering a supportive social climate.

An audit of breast cancer in patients 40 years and younger in two Johannesburg academic hospitals.

Background: Breast cancer is the most common cancer in females, usually diagnosed after the age of 50 years. There is a perceived increase in breast cancer cases in young women in two public sector Johannesburg academic hospitals; however, there is a shortage of data to confirm this. Objectives: This study aimed to assess data on breast cancer in young patients and determine any increase in the number of cases in patients 40 years and younger. Method: A retrospective analysis of radiology and histopathology reports of patients 40 years and younger, seen at the radiology departments of two Johannesburg academic hospitals, was performed over a 5-year period. The frequency, histology and immunohistochemical results of breast cancer diagnoses were determined in patients with a Breast Imaging - Reporting and Data System (BI-RADS) classification of 4 or above. Results: Breast cancer was diagnosed in 73% of the total eligible 469 patients. The mean patient age was 34.35 years. Invasive ductal carcinoma was diagnosed in 83% (n = 283) of patients classified as BI-RADS 5 on imaging. Luminal A and B subtypes were the most common. The highest number of patients (n = 142) were seen in 2016 of which 92 had breast cancer. Conclusion: In this very specific sample set, there was a lower number of breast cancer diagnoses in 2015 and then an increase of breast cancer diagnoses in young patients from 2016 to 2018. Contribution: Earlier breast cancer detection benefits the patient, their families and their reproductive ability. Knowledge of breast cancers in young patients can increase awareness, leading to effective, early diagnoses.

The Incidence of Pulmonary Embolism in Hospitalized Non-ICU Patients with COVID-19 during the First Wave: A Multicenter Retrospective Cohort Study in the Netherlands.

INTRODUCTION: During the first COVID-19 outbreak in 2020 in the Netherlands, the incidence of pulmonary embolism (PE) appeared to be high in COVID-19 patients admitted to the intensive care unit (ICU). This study was performed to evaluate the incidence of PE during hospital stay in COVID-19 patients not admitted to the ICU. METHODS: Data were retrospectively collected from 8 hospitals in the Netherlands. Patients admitted between February 27, 2020, and July 31, 2020, were included. Data extracted comprised clinical characteristics, medication use, first onset of COVID-19-related symptoms, admission date due to COVID-19, and date of PE diagnosis. Only polymerase chain reaction (PCR)-positive patients were included. All PEs were diagnosed with computed tomography pulmonary angiography (CTPA). RESULTS: Data from 1,852 patients who were admitted to the hospital ward were collected. Forty patients (2.2%) were diagnosed with PE within 28 days following hospital admission. The median time to PE since admission was 4.5 days (IQR 0.0-9.0). In all 40 patients, PE was diagnosed within the first 2 weeks after hospital admission and for 22 (55%) patients within 2 weeks after onset of symptoms. Patient characteristics, pre-existing comorbidities, anticoagulant use, and laboratory parameters at admission were not related to the development of PE. CONCLUSION: In this retrospective multicenter cohort study of 1,852 COVID-19 patients only admitted to the non-ICU wards, the incidence of CTPA-confirmed PE was 2.2% during the first 4 weeks after onset of symptoms and occurred exclusively within 2 weeks after hospital admission.

Risk factors for progressing to critical illness in patients with hospital-acquired COVID-19.

Background/Aims: Risk factors for progression to critical illness in hospital-acquired coronavirus disease 2019 (COVID-19) remain unknown. Here, we assessed the incidence and risk factors for progression to critical illness and determined their effects on clinical outcomes in patients with hospital-acquired COVID-19. Methods: This retrospective cohort study analyzed patients admitted to the tertiary hospital between January 2020 and June 2022 with confirmed hospital-acquired COVID-19. The primary outcome was the progression to critical illness of hospital- acquired COVID-19. Patients were stratified into high-, intermediate-, or low-risk groups by the number of risk factors for progression to critical illness. Results: In total, 204 patients were included and 37 (18.1%) progressed to critical illness. In the multivariable logistic analysis, patients with preexisting respiratory disease (OR, 3.90; 95% CI, 1.04-15.18), preexisting cardiovascular disease (OR, 3.49; 95% CI, 1.11-11.27), immunocompromised status (OR, 3.18; 95% CI, 1.11-9.16), higher sequential organ failure assessment (SOFA) score (OR, 1.56; 95% CI, 1.28-1.96), and higher clinical frailty scale (OR, 2.49; 95% CI, 1.62-4.13) showed significantly increased risk of progression to critical illness. As the risk of the groups increased, patients were significantly more likely to progress to critical illness and had higher 28-day mortality. Conclusions: Among patients with hospital-acquired COVID-19, preexisting respiratory disease, preexisting cardiovascular disease, immunocompromised status, and higher clinical frailty scale and SOFA scores at baseline were risk factors for progression to critical illness. Patients with these risk factors must be prioritized and appropriately isolated or treated in a timely manner, especially in pandemic settings.

Evaluating the performance of selected military hospitals in Tehran in response to Covid-19 pandemic: A cross-sectional study.

Background and Aims: The rapid spread of coronavirus disease 2019 (Covid-19) led the need to admit a large number of infected people to hospitals in a short period of time, turning them into one of the most important responsive organizations. This study aims to evaluate the performance of selected military hospitals because they carried out a military operation in Tehran in response to the recent pandemic. Methods: This is a descriptive-analytical study. The statistical population of this study consisted of military hospitals responding to Covid-19 pandemic in Tehran. A checklist to evaluate the performance of hospitals in response to Covid-19 pandemic (six areas, 23 sub-areas and 152 items) was used as a data collection tool in this study. This tool had six domains, including risk management and planning, coordination and communication, infection prevention and control, diagnosis and treatment, education and training, and resource management. Results: The overall performance of selected hospitals was 63%, which indicated a good performance. The domain of coordination and communication obtained the lowest score. Conclusion: The investigated hospitals had good performance because they had a desirable access to resources. Periodic self-assessment and accreditation is recommended to improve the performance of these hospitals.

The burden of hospital-acquired infections (HAI) in sub-Saharan Africa: a systematic review and meta-analysis.

Background: Hospital-acquired infections (HAI) are a leading cause of morbidity and mortality globally. These infections are diverse, but the majority are lower respiratory tract infection (LRTI), surgical site infection (SSI), bloodstream infection (BSI), and urinary tract infection (UTI). For most sub-Saharan African countries, studies revealing the burden and impact of HAI are scarce, and few systematic reviews and meta-analysis have been attempted. We sought to fill this gap by reporting recent trends in HAI in sub-Saharan Africa (SSA) with attention to key patient populations, geographic variation, and associated mortality. Methods: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a literature search of six electronic databases (Web of Science, Pubmed, APA PsycInfo, CINAHL, Embase, and the Cochrane Library) to identify studies assessing the prevalence of HAI in SSA countries. Studies published between 01 January 2014 and 31 December 2023 were included. We applied no language or publication restrictions. Record screening and data extractions were independently conducted by teams of two or more reviewers. Using the R software (version 4.3.1) meta and metafor packages, we calculated the pooled prevalence estimates from random-effect meta-analysis, and further explored sources of heterogeneity through subgroup analyses and meta-regression. This study is registered with PROSPERO, CRD42023433271. Findings: Forty-one relevant studies were identified for analysis, consisting of 15 from West Africa (n = 2107), 12 from Southern Africa (n = 2963), 11 from East Africa (n = 2142), and 3 from Central Africa (n = 124). A total of 59.4% of the patient population were associated with paediatric admissions. The pooled prevalence of HAI was estimated at 12.9% (95% CI: 8.9-17.4; n = 7336; number of included estimates [k] = 41, p < 0.001). By subregions, the pooled current prevalence of HAI in the West Africa, Southern Africa, East Africa and Central Africa were estimated at 15.5% (95% CI: 8.3-24.4; n = 2107; k = 15), 6.5% (95% CI: 3.3-10.7; n = 2963; k = 12), 19.7% (95% CI: 10.8-30.5; n = 2142; k = 11) and 10.3% (95% CI: 1.1-27.0; n = 124; k = 3) of the patient populations respectively. We estimated mortality resulting from HAI in SSA at 22.2% (95% CI: 14.2-31.4; n = 1118; k = 9). Interpretation: Our estimates reveal a high burden of HAI in SSA with significant heterogeneity between regions. Variations in HAI distribution highlight the need for infection prevention and surveillance strategies specifically tailored to enhance prevention and management with special focus on West and East Africa, as part of the broader global control effort. Funding: No funding was received for this study.

A comparison between intraosseous and intravenous access in patients with out-of-hospital cardiac arrest: A retrospective cohort study.

INTRODUCTION: The optimal vascular access for patients with out-of-hospital cardiac arrest (OHCA) remains controversial. Increasing evidence supports intraosseous (IO) access due to faster medication administration and higher first-attempt success rates compared to intravenous (IV) access. However, the impact on patient outcomes has been inconclusive. METHODS: This retrospective cohort study in Taoyuan City, Taiwan, from January 1, 2019, to December 31, 2022, included patients aged ≥18 years with non-traumatic OHCA resuscitated by emergency medical technician paramedics (EMT-Ps) with either IVs or IOs for final vascular access. The exclusion criteria were cardiac arrest en route to the hospital and resuscitation during the coronavirus pandemic (from May 1, 2022, to October 31, 2022). The primary and secondary outcomes were sustained ROSC (≥2 h) and cerebral performance category (CPC) 1-2, respectively. Univariate logistic regression was used to estimate the odds ratios (ORs) and 95% confidence intervals (CI) for the primary analysis. Multivariable logistic regression was employed, with variables selected based on a p-value of <0.05 in the univariate analysis. The survival benefits of different insertion sites and subgroups like general ambulance teams (with a composition that includes fewer EMT-Ps and limited experience in using IO access) were also analyzed. RESULTS: A total of 2003 patients were enrolled; 1602 received IV access and 401 IO access. The median patient age was 70 years, and most were male (66.6%). Compared to patients receiving IV access, the adjusted odds ratios (aORs) for primary and secondary outcomes in patients with IOs were 0.83 (95% confidence interval [CI], 0.61-1.11; p = 0.20) and 0.96 (95% CI, 0.39-2.40; p = 0.93), respectively. Different insertion sites showed no outcome differences. In the subgroups of females and patients resuscitated by general ambulance teams, the aORs for sustained ROSC were 0.55 (95% CI, 0.33-0.92; p = 0.02) and 0.62 (95% CI, 0.41-0.94; p = 0.02), respectively. CONCLUSIONS: For patients with OHCA resuscitated by EMT-Ps, IO access was comparable to IV access regarding patient outcomes. However, in females and patients resuscitated by general ambulance teams, IV access might be favorable.