Intensive Care Ward Research Articles

Characterizing and Evaluating the Structures of Combined Pediatrics and Medical Genetics and Genomics Residency Programs.

There is limited information on rationale for the current training structure within combined Pediatrics-Medical Genetics and Genomics Residency (MGG) residency programs. This study addresses the benefits and drawbacks of different training structures. Program Directors (PDs) and Associate PDs of combined Pediatrics-MGG residency programs were surveyed to evaluate perceived benefits of different structures and the relative importance of particular pediatric rotations for combined training. Programs varied in terms of how many times a typical resident transitioned between Pediatrics and MGG during training (range 4 to > 9). PDs varied in their opinions of which training structure would be most ideal for training a future Clinical Geneticist within a combined Pediatrics-MGG program. However, the majority of PDs indicated that consecutive training (completing two years of Pediatrics, followed by MGG) would support particular aims of training including continuity of patient care and research productivity. The top six out of twenty pediatric rotations that were ranked as most important in order of importance were neonatal intensive care, development and behavior pediatrics, term newborn, pediatric intensive care, neurology, and inpatient pediatric wards. Particular structures may facilitate distinct aims within training; however, there was not widespread consensus on which program structure would be best. Specific pediatric rotations were highlighted as very important, which could influence future curriculum development.

Study of the Microbiological Efficiency of a Hospital Ventilation System With Hepa Filtration in the Prevention of Airborne Pathogens

Objective: To evaluate the microbiological efficiency in air conditioning systems with HEPA filtration in an infectious disease hospital. Theoretical Framework: Air conditioning in intensive care units and wards must consider the spread of microorganisms through respiratory pathways, as both patients and healthcare professionals are exposed to infectious agents transmitted by bioaerosols. Due to the possibility of environmental infection, there is a growing recognition that poorly designed air conditioning systems enhance the transmission of pathogens in areas with constant flow of individuals, particularly immunocompromised patients, who are more susceptible to infections. Air conditioning with HEPA filtration is a hospital engineering technique that shows great potential for filtering airborne contaminants, thereby reducing their dispersion in the environment. Method: Air samples were collected using the active impaction method over a 32-week period in the intensive care unit and wards of a reference hospital for infectious diseases. Results and Discussion: In the hospital environment, 67% of fungi and 33% of bacteria were identified, along with their respective subcategories. The colony-forming unit count exceeded the standards established by current regulations. The study highlights that hospital air is a pathway for the transmission and persistence of pathogenic microorganisms. Research Implications: The importance of ensuring a safe and healthy hospital environment is emphasized. Originality/Value: There are few studies addressing pathogens transmitted by bioaerosols. This study contributes to expanding knowledge on this topic and suggests the need for a review of current regulatory standards.

The Evolving Epidemiology of Infective Endocarditis: An Observational Study from Western India

Background: Over the last few decades, the epidemiology and the management of infective endocarditis (IE) is undergoing significant evolution and advancements respectively. Many studies from the developed world and some from India have brought this to light. Objective: To study demography, risk factors, microbiological spectrum, clinical profile, management, and outcome of IE in a tertiary care setup in western India. Materials and Methods: This is a retrospective observational study of 90 patients diagnosed with definite as well as possible IE and admitted to the intensive care units (ICU) and wards in our institute from April 2015 to May 2022. Demographics, signs and symptoms, laboratory results, echocardiography, radiological findings, treatment, and outcomes were studied. Results: 73 (81.1%) were definite and 17 (18.9%) were possible cases of IE. 93.3% cases were community-acquired, 6.7% were hospital acquired. Mean age of the patients was 43.3 + or - 18.8 years. Male: female ratio was 4.3:1. 62.2% had an underlying cardiac illness, with congenital heart disease (CHD) being the most common (18.9%) followed by rheumatic heart disease (RHD) (16.5%). Fever, weight loss, dyspnea, and cough were the common presenting symptoms. 69 (76.7 %) patients had native valve IE, 13 (14.4%) had prosthetic valve IE, 6 (6.7%) had vegetations on the endothelium without involvement of the valves, 2 (2.2%) patients had vegetations on the prosthetic material used for repair of congenital heart defects. About 48% of patients had a history of prior receipt of antibiotics. Blood cultures were positive in 48 (53.3%) patients. Most common valve infected was the mitral valve (MV) and the most common organisms isolated were the viridans group of streptococci (VGS), with penicillin (Pn) MIC <0.5 mcg/ml of all but one isolate. Transesophageal echocardiography (TEE), done in 17 patients, improved the pick-up of abnormal echo findings from 83.3% to 91.1%. Ceftriaxone was the most common antibiotic used. Surgery was done in 22 (24.4%) patients. 67 (74.4%) patients were cured, 14 (15.6%) patients died and 9 (10%) patients were lost to follow-up. Conclusion: The increasing age of patients, absence of any underlying cardiac ailment, the importance of TEE in patients with high suspicion of IE, and the trend towards early surgery were the important aspects highlighted with respect to the changes happening in the field of IE. Almost all the strains of VGS, the most common isolated organisms, retained their sensitivity to Pn and ceftriaxone, making the treatment possible with once-a-day dosing of ceftriaxone monotherapy, highlighting the utilization of outpatient antibiotic therapy (OPAT).

A Cross-Sectional Study of Acute Poisoning Cases Admitted in a Tertiary Care Hospital in Mangaluru, Karnataka, India

Abstract Introduction: A poison is a substance that causes serious illness and endangers the life of a person when ingested in a relatively small quantity. Poisoning is one of the most common problems encountered in day-to-day clinical practice. Poisoning causes morbidity and mortality which can be prevented and managed if clinicians are sensitized with adequate knowledge of common poisons. Therefore, this study was conducted to know the profile of acute poisoning cases admitted in a tertiary care hospital in Mangaluru. Materials and Methods: 100 patients admitted in the intensive care units and wards of the General Medicine department, Kasturba Medical College, Mangaluru, and Government Wenlock District Hospital, Mangaluru with various poisoning were evaluated for various factors like the distribution of poisoning cases according to age, gender, intention of poisoning, nature of poisons consumed and the nature of treatment received at another hospital before getting admitted. Results: Most of the cases of poisoning occurred in the age group between 21-30 years of age (38%). The majority of the patients in the study were males (60%) and females formed 40% of the study population. The majority of patients in this study (99%) consumed poison with suicidal intention. 77% of patients received first-aid treatment in a peripheral hospital before getting admitted to our hospital. Conclusion: This study shows that the peak incidence of acute poisoning cases was seen in the age group of 21 to 30 years with male predominance. The pattern of poisoning was suicidal in the majority of the patients.

Departmental Workload and Job Satisfaction of Indonesian Nurses in Saudi Arabia: A Cross Sectional Study

Indonesian foreign nurses working in Saudi Arabia have not been surveyed regarding workload and job satisfaction in the healthcare setting. Understanding the workload at hospital that influences job satisfaction provides an overview of the nurse’s existence at work. This study aimed to determine the prevalence of workload, and job satisfaction of Indonesian nurses in Saudi Arabia. A cross sectional study using self- administered questionnaire by Nasa Task Load Index (NASA-TLX) was used to analyze the workload, and the Minnesota Satisfaction Questionnaire (MSQ) for the satisfaction. Data were analyzed using descriptive methods and univariate statistics by SPSS version 26. A total of 132 nurses participated in this research. Five departments, including intensive care unit (ICU), emergency department (ER), operating room (OR), hemodialysis (HD), and ward department (WD) reported high workload levels (61-80 points). Job satisfaction in five departments was neutral category, while the ward department showed dissatisfied category. The analysis of nurses' characteristics revealed that the majority were aged 31-40 years old (46.2%), length of work was 1-5 years (54.5%), and worked in the outpatient department (42.4%). The study suggests that healthcare management and policymakers should implement programs to improve job satisfaction and reduce workload, especially for foreign nurses working in critical areas, including the five departments mentioned.

Attributable mortality of candidemia – Results from the ECMM Candida III multinational European Observational Cohort Study

Despite antifungal advancements, candidaemia still has a high mortality rate of up to 40%. The ECMM Candida III study in Europe investigated the changing epidemiology and outcomes of candidaemia for better understanding and management of these infections. In this observational cohort study, participating hospitals enrolled the first ten consecutive adults with blood culture-proven candidemia. Collected data included patient demographics, risk factors, hospital stay duration (follow-up of 90 days), diagnostic procedures, causative Candida spp., management details, and outcome. Controls were included in a 1:1 fashion from the same hospitals. The matching process ensured similarity in age (10-year range), primary underlying disease, hospitalization in intensive care versus non-ICU ward, and major surgery within 2 weeks before candidemia between cases and controls. Overall and attributable mortality were described, and a survival probability for cases and controls was performed. One hundred seventy-one pairs consisting of patients with candidemia and matched controls from 28 institutions were included. In those with candidemia, overall mortality was 40.4%. Attributable mortality was 18.1% overall but differed between causative Candida species (7.7% for Candida albicans, 23.7% for Candida glabrata/Nakaseomyces glabratus, 7.7% for Candida parapsilosis and 63.6% for Candida tropicalis). Regarding risk factors, thepresence of a central venous catheter, total parenteral nutrition and acute or chronic renal disease were significantly more common in cases versus controls. Duration of hospitalization, and especially that of ICU stay, was significantly longer in candidemia cases (20 (IQR 10-33) vs 15 days (IQR 7-28); p=0.004). Although overall and attributable mortality in this subgroup analysis of matched case/control pairs remains high, the attributable mortality appears to have decreased in comparison to historical cohorts. This decrease may be driven by improved prognosis of Candida albicans and Candida parapsilosis candidemia; whereas candidemia due to other Candida spp. exhibits a much higher attributable mortality.

Ophthalmic assessment of an intensive care ward patients in the first and last wave of the COVID-19. Do they have a difference?

BACKGROUND: The new coronavirus infection (COVID-19) gained the pandemic status in 2020, and despite the fact that since then the virus has become less pathogenic, its virulence has increased by 2023. Well-vascularized organs and tissues, including the retina, represent the target for coronavirus. The etiopathogenesis of COVID-associated retinopathy, first described in 2021, still remains poorly understood, and its forms and occurrence frequency during different periods of the infectious process vary greatly. AIM: To identify the main characteristics of the COVID-associated retinopathy in patients with moderate and severe COVID-19 course during the acute period of the disease. MATERIALS AND METHODS: The study, conducted in 2021 (group 1) and 2023 (group 2), included patients with confirmed COVID-19 of moderate to severe course during the first 7 days from the onset of symptoms. Group 1 included 46 people, mean age 65.5 years, and group 2 included 55 people, mean age 69.3 years. The ophthalmologic examination was carried out in the “red zone” and intensive care unit, and included examination of the anterior segment of the eye, indirect ophthalmoscopy, and fundus photography using a portable hand-held digital fundus camera (Smartscope M5, Optomed, Finland). Hypertension, diabetes mellitus, volume of lung damage, invasive mechanical ventilation, and anticoagulant therapy were considered as conditions affecting retinal microcirculation. RESULTS: The observation groups were homogeneous in terms of gender, age, and concomitant diseases. The incidence of ophthalmoscopic findings in group 1 was 17.3%, and in group 2 — 12.7%. Most often, during the first 7 days of the disease, signs of angiopathy were observed: dilatation of blood vessels, irregularity of their diameter and tortuosity. Among focal changes, there were multiple retinal hemorrhages (6.5% and 3.6%) and cotton wool spots (4.3% and 5.4%). In patients with fundus changes, diabetes mellitus was significantly less common (in group 1, 25% vs. 39%, p 0.001; in group 2, 28% vs. 44%, p 0.001), as well as arterial hypertension (in group 1, 55% vs. 66%, p = 0.003; in group 2 28% vs. 83%, p 0.001). In group 1, there was a higher proportion of patients treated in intensive care unit, as in group 2 (37% vs. 17%, p 0.001), but in group 2, patients with identified retinal changes were more likely to receive therapeutic doses of anticoagulants (33% vs. 12%, p 0.001). CONCLUSION: The main characteristics of COVID-associated retinopathy in patients with moderate to severe COVID-19 during the acute period of the disease are dilatation and pathological tortuosity of the retinal arteries and veins, intraretinal hemorrhages and cotton wool spots. The connection between COVID-associated retinopathy and concomitant to the infectious process cardiovascular conditions has not been established. Retinopathy associated with coronavirus infection, with absolute similarity of clinical manifestations, was significantly more common in 2021 than in 2023.

Impact of MIC Breakpoint Changes for Enterobacterales on Trends of Antibiotic Susceptibilities in An Academic Medical Center

Background: The Clinical & Laboratory Standards Institute (CLSI) recommends use of annual antibiograms to help guide empiric antibiotic therapy. Because CLSI periodically updates minimum inhibitory concentration (MIC) breakpoints, we assessed the impact of these updates on longitudinal trends in antibiotic susceptibility rates for Escherichia coli and Klebsiella pneumoniae at a single academic medical center in Atlanta, GA. Methods: Susceptibilities for cefepime, ceftazidime, and levofloxacin in E. coli and K. pneumoniae were extracted from hospital antibiograms from 1988 to 2022. Starting in 1995, intensive care units (ICUs) and wards had separate annual antibiograms, which we combined using weighted averages to create annual overall hospital antibiograms. After summarizing the frequency of isolates tested and susceptibilities using medians and interquartile ranges (IQR), we conducted an interrupted time series analysis using linear segmented regression models, to evaluate the level changes and trends in susceptibility, before and after CLSI MIC breakpoints were updated for ceftazidime (2010 and 2017), cefepime (2014 and 2017), and levofloxacin (2013). Results: Among 21,214 E. coli, there was a median of 291 [IQR: 104, 555] isolates tested annually. Similarly, among 8,686 K. pneumoniae isolates, the median was 125 per year (IQR: 76, 178). Prior to the MIC breakpoint changes, baseline susceptibility trends of both organisms to all 3 antibiotics significantly declined at a rate between 0.2% to 2.4% per year (Table 1). For cefepime (Figure 1), susceptibility decreased annually during 1988 – 2013 for both E. coli (-0.5%) and K. pneumoniae (-1.2%). There were no significant level changes but there were trend changes after 2018, for E. coli (+2.1%) and K. pneumoniae (– 5.5%). For ceftazidime (Figure 2), significant level changes occurred after 2010 for both organisms (E. coli: -5.7%; K. pneumoniae: -5.2%). For levofloxacin (Figure 3), the breakpoint update in 2013 lead to significant level change in susceptibility (E. coli: +8.4%; K. pneumoniae: +11.4%). Conclusion: Overall, we observed a consistent decrease in antibiotic susceptibility in E. coli and K. pneumoniae over three decades, with immediate increases in the level change of susceptibility when MIC breakpoints were changed, followed by a decreasing trend. These findings highlight the importance of longitudinal surveillance and MIC breakpoint changes to inform antimicrobial stewardship strategies.

Framework to elicit consent from lightly sedated mechanically ventilated intensive care patients in nursing practice.

The study aimed to ascertain a framework of nursing practices to elicit consent from lightly sedated ventilated patients. Study participants were nurses working in intensive care and critical care wards, whose observations and semi-structured interviews were assessed using a modified grounded theory approach. A total of 15 concepts were generated, from which three categories and three subcategories were generated. Category 1: Nurses taking the lead in providing assistance by sharing signs of change while continuing the invasive treatment, working to maintain the patient's life, alleviation of pain, promotion of awareness of the current situation, and acclimating them to the treatment environment as the basis for building a relationship between patients and nurses. Category 2: Searching for points of agreement and reaching a compromise involves the nurse drawing out the patient's thoughts, hopes, and expectations, and transforming the relationship into a patient-centered one by sharing goals with the patient in order to achieve them. Category 3: Organizing collaboration within care supported the patient's ability to move safely while maintaining the patient's pace to achieve shared goals, and guided the patient's independent actions. Even when patients recover from an acute life-threatening situation, their physical sensations remain vague and their functional decline continues. Rather than simply eliciting consent from patients, the structure of nursing practice to elicit such response from patients involves drawing out the patient's thoughts, hopes, and expectations, as well as guiding the patient toward goals that they have created together with the nurse and utilizing the patient's strengths to achieve these goals.

Microbiological Profile and Susceptibility Pattern of Bacterial Blood Culture Isolates in COVID-19 Patients with Septicemia from a Designated COVID Hospital in Pune

In severe Coronavirus disease 2019 (COVID-19), bloodstream infections (BSIs) are an increasing cause of morbidity and mortality. In critically ill patients with COVID-19, we aimed to evaluate the prevalence, clinical profiles, and outcomes of BSIs. This single-center prospective investigation was conducted at a tertiary care hospital in Western India. All patients (>18 years of age) hospitalized in the intensive care unit (ICU) or ward with RT-PCR-confirmed COVID-19 were included. Demographic information, clinical proficiency, and antibiotic resistance patterns were assessed. Of the 550 patients admitted to the COVID ICU, subsequent BSIs occurred in 7.45% of patients. Gram-negative pathogens comprised a significant proportion of BSIs (53/73, 72.6%). The most frequent isolates were Klebsiella pneumoniae (22/73, 30.1%), Acinetobacter baumannii (11/73,15.06%), and Escherichia coli (7/23, 9.58%). In 57.8% of the cases, multidrug-resistant organisms (MDRO) were discovered. The Enterococcus and K. pneumoniae families comprise the majority of MDRO. Gram-negative bacteria (30.18% [16/53]) were resistant to carbapenems. Increased total leukocyte count, mechanical ventilation, and the presence of comorbidities were significantly associated with the incidence of BSIs. In COVID-19-linked BSIs, we discovered a high frequency of A. baumannii. Clinicians should be aware of potential BSIs in the presence of comorbidities, elevated leukocyte count, and mechanical ventilation. To improve the results, empirical antibiotics must be started promptly, and the situation must be de-escalated quickly. The most frequent isolates were A. baumannii and K. pneumoniae ([11/73, 15.06%] and [22/73, 30.1%], respectively). To reduce the incidence of MDRO, infection control procedures should be strictly followed in patients with multidrug resistance.

Integrating Explainable Machine Learning in Clinical Decision Support Systems: Study Involving a Modified Design Thinking Approach.

Though there has been considerable effort to implement machine learning (ML) methods for health care, clinical implementation has lagged. Incorporating explainable machine learning (XML) methods through the development of a decision support tool using a design thinking approach is expected to lead to greater uptake of such tools. This work aimed to explore how constant engagement of clinician end users can address the lack of adoption of ML tools in clinical contexts due to their lack of transparency and address challenges related to presenting explainability in a decision support interface. We used a design thinking approach augmented with additional theoretical frameworks to provide more robust approaches to different phases of design. In particular, in the problem definition phase, we incorporated the nonadoption, abandonment, scale-up, spread, and sustainability of technology in health care (NASSS) framework to assess these aspects in a health care network. This process helped focus on the development of a prognostic tool that predicted the likelihood of admission to an intensive care ward based on disease severity in chest x-ray images. In the ideate, prototype, and test phases, we incorporated a metric framework to assess physician trust in artificial intelligence (AI) tools. This allowed us to compare physicians' assessments of the domain representation, action ability, and consistency of the tool. Physicians found the design of the prototype elegant, and domain appropriate representation of data was displayed in the tool. They appreciated the simplified explainability overlay, which only displayed the most predictive patches that cumulatively explained 90% of the final admission risk score. Finally, in terms of consistency, physicians unanimously appreciated the capacity to compare multiple x-ray images in the same view. They also appreciated the ability to toggle the explainability overlay so that both options made it easier for them to assess how consistently the tool was identifying elements of the x-ray image they felt would contribute to overall disease severity. The adopted approach is situated in an evolving space concerned with incorporating XML or AI technologies into health care software. We addressed the alignment of AI as it relates to clinician trust, describing an approach to wire framing and prototyping, which incorporates the use of a theoretical framework for trust in the design process itself. Moreover, we proposed that alignment of AI is dependent upon integration of end users throughout the larger design process. Our work shows the importance and value of engaging end users prior to tool development. We believe that the described approach is a unique and valuable contribution that outlines a direction for ML experts, user experience designers, and clinician end users on how to collaborate in the creation of trustworthy and usable XML-based clinical decision support tools.

Demonstration of Interaction between Carbapenem Group Antibiotics and Different Immunosuppressant Drugs by Molecular Docking

Background: It has been shown that drugs used parenterally cause errors in immunosuppressant concentrations measured by LC-MS / MS method. It is yet unknown whether this measurement error is due to drug-drug interaction or analytical interference. Objective: The aim of this study is to investigate the possible interaction and inhibition concentrations of broad-spectrum antibiotics (ertapenem, meropenem, imipenem) with 4 different immunosuppressants (tacrolimus, sirolimus, everolimus, cyclosporine A) by molecular docking. Method: The docking results of ertapenem, meropenem, and imipenem-cilastatin drugs, which are frequently used in intensive care units and wards, were analyzed with the Autodock 4.2 program. Binding energy levels and inhibition concentrations were recorded. Results: The highest binding energies of the most stable conformations, providing the best compatibility among the active ingredients, belong to cilastatin. The interaction energy of cilastatin with sirolimus in 320 conformations was calculated as -4.08 kcal/mol. Sirolimus interacted with ertapenem at -3.43, imipenem at -2.53, and meropenem at -3.84 kcal/mol. According to these values, the receptor, which is the most compatible host with all ligand molecules, is sirolimus. The least interaction energy value was calculated between cyclosporine and imipenem (-1.12 kcal / mol). Conclusion: Concerning the most stable conformations of models docked with Autodock tools, it has been determined that carbapenems interact with immunosuppressants. Since the detected inhibition concentration levels can be seen in blood samples taken immediately after carbapenem injection, immunosuppressant measurement is recommended before the use of carbapenem in immunosuppressant monitoring of transplant patients.

Workload reduction through automated documentation in intensive and intermediate care - a monocentric observational study.

The global coronavirus pandemic has placed an unprecedented and enormous burden on health systems worldwide. In addition to a shortage of resources, nurses were also confronted with high levels of sick leave and an increasing exodus from the profession. Automating documentation obligations is an effective way of reducing the burden on the workplace. The study was conducted at a tertiary university hospital. The time required for the manual documentation of administered medication and dose changes of syringe and infusion pumps was recorded using the patient data management system (PDMS) representing all intensive and intermediate care wards (n = 6). Subsequently, all medication administration - grouped into five classes - was evaluated from January 1st, 2019, until December 31st, 2022. A total of 1,373,340 drug applications were studied, treating 32,499 patients. Data were obtained from ICUs (68%) and IMC wards (32%). This corresponds to an overall time of 2,901 ± 233 hours per year. Based on publicly known national rates for intensive care nurses, an annual financial expenditure of approximately 83,300 € (~ USD 89,300) per year was estimated. A non-negligible part of the daily working time in the medical sector is spent on documentation duties. This aggravates the high workload, which has increased in recent years. Automated documentation systems can lead to considerable relief and the possibility of focusing primarily on the patient and on other core competencies and activities. This is even more important, as available staff will be a key resource in patient care for the foreseeable future.

Recommendations for the specialist further training of nursing personnel on intensive care units in the treatment of abdominal aortic aneurysms: results of a modified Delphi procedure with experts

The medical development in the previous 15 years and the changes in treatment reality of the comprehensive elective treatment of abdominal aortic aneurysms necessitate a re-evaluation of the quality assurance guidelines of the Federal Joint Committee in Germany (QBAA-RL). In the current version this requires a specialist further training quota for nursing personnel in intensive care wards of 50%. The quota was determined in 2008 based on expert opinions, although a direct empirical evidence base for this does not exist. Representatives from the fields of patient representation, physicians, nursing personnel and other relevant interface areas were invited to participate in a modified Delphi procedure. Following a comprehensive narrative literature search, a survey and focus group discussions with national and international experts, a total of three anonymized online-based voting rounds were carried out for which previously determined key statements were assessed with a 4‑point Likert scale (totally disagree up to totally agree). In addition, the expert panel had also defined a recommendation for a minimum quota for the specialist training of nursing personnel on intensive care wards in the treatment of abdominal aortic aneurysms, whereby an a priori agreement of 80% of the participants was defined as the consensus limit. Overall, 37 experts participated in the discussions and three successive voting rounds (participation rate 89%). The panel confirmed the necessity of a re-evaluation of the guideline recommendations and recommended the introduction of a shift-related minimum quota of 30% of the full-time equivalent of nursing personnel on intensive care wards and the introduction of structured promotional programs for long-term elevation of the quota. In this national Delphi procedure with medical and nursing experts as well as representatives of patients, the fundamental benefits and needs of professional specialist qualifications in the field of intensive care medicine were confirmed. The corresponding minimum quota for specialist further training of intensive care nursing personnel should generally apply without limitations to specific groups. The expert panel stipulates a shift-related minimum quota for intensive care nursing personnel with specialist training of 30% of the nursing personnel on intensive care wards and the obligatory introduction of structured and transparent promotion programs for the long-term enhancement.

Identification of hazards for human health under chemical pollution in air inside in-patient hospitals

Use of various physical and chemical research techniques, including chromato-mass-spectrometry, made it possible to identify and quantify more than 40 organic compounds in air inside healthcare organizations, including saturated, unsaturated, cyclic, and aromatic hydrocarbons; terpenes, alcohols, aldehydes, esters, ketones, halogen-containing compounds, and organic acids. Levels of ethanol, dichloromethane, carbon tetrachloride, ethyl acetate, propyl acetate, acetone, terpene hydrocarbons, and acetic acid made the main contribution to the total content of all identified compounds. Most detected substances were present in concentrations not exceeding hygienic standards, except for chloroform and iodoform, the levels of which were up to 2 times higher than average daily MPL in intensive care wards and a bronchoscopy room. Organic acids and chlorinated organic compounds were found in elevated concentrations compared with insides of non-medical public buildings. Among the wide list of identified substances, hygienic standards have not been established for more than 70% of compounds and it is not possible to give a hygienic assessment of hazards or safety of their presence in air inside healthcare facilities. Despite that, the information obtained in this study is extremely useful for accomplishing an important stage in health risk analysis, which is identification of hazards for health of patients and healthcare workers posed by chemical air pollution inside healthcare organizations when using the risk analysis methodology. In this study, we assessed effects produced by operations of UV recirculator irradiators for air disinfection on its chemical composition inside healthcare institutions. The assessment showed that when such devices worked in the presence of patients and staff, there was an increase in the amount of pollutants in air and their total concentration grew from two to more than four times. When analyzing risks for health of staff and patients, hazard identification within risk-based control of chemical air pollution in the hospital environment should include monitoring of formaldehyde, styrene, ammonia, ethanol, isopropanol, chloroform, dichloroethane, acetic acid along with identification of a wide range of volatile organic compounds; it should also cover ammonia as one of the priority pollutants occurring in the environment from human excretory products.

Проблемы идентификации опасности для здоровья человека при химическом загрязнении воздушной среды помещений медицинских стационаров

Use of various physical and chemical research techniques, including chromato-mass-spectrometry, made it possible to identify and quantify more than 40 organic compounds in air inside healthcare organizations, including saturated, unsaturated, cyclic, and aromatic hydrocarbons; terpenes, alcohols, aldehydes, esters, ketones, halogen-containing compounds, and organic acids. Levels of ethanol, dichloromethane, carbon tetrachloride, ethyl acetate, propyl acetate, acetone, terpene hydrocarbons, and acetic acid made the main contribution to the total content of all identified compounds. Most detected substances were present in concentrations not exceeding hygienic standards, except for chloroform and iodoform, the levels of which were up to 2 times higher than average daily MPL in intensive care wards and a bronchoscopy room. Organic acids and chlorinated organic compounds were found in elevated concentrations compared with insides of non-medical public buildings. Among the wide list of identified substances, hygienic standards have not been established for more than 70% of compounds and it is not possible to give a hygienic assessment of hazards or safety of their presence in air inside healthcare facilities. Despite that, the information obtained in this study is extremely useful for accomplishing an important stage in health risk analysis, which is identification of hazards for health of patients and healthcare workers posed by chemical air pollution inside healthcare organizations when using the risk analysis methodology. In this study, we assessed effects produced by operations of UV recirculator irradiators for air disinfection on its chemical composition inside healthcare institutions. The assessment showed that when such devices worked in the presence of patients and staff, there was an increase in the amount of pollutants in air and their total concentration grew from two to more than four times. When analyzing risks for health of staff and patients, hazard identification within risk-based control of chemical air pollution in the hospital environment should include monitoring of formaldehyde, styrene, ammonia, ethanol, isopropanol, chloroform, dichloroethane, acetic acid along with identification of a wide range of volatile organic compounds; it should also cover ammonia as one of the priority pollutants occurring in the environment from human excretory products.

Infection prevention and control compliance among nurses and nursing students during COVID-19 in Malaysia

The Malaysian COVID-19 hospital admission rate and the intensive care wards usage are now declining as the health service system enters a stage of recovery in the endemic phase. This study aimed to explore the barriers to and facilitators of infection prevention and control (IPC) compliance among staff nurses and nursing students and to observe their IPC compliance when attending to the patients in the respective wards. Qualitative study using in-depth interviews was conducted with staff nurses and the nursing students as primary data collection methods and supported with direct observation in the wards. A total of 21 staff nurses and 14 undergraduate nursing students from multiple wards were purposively sampled from April to December 2022. Data were analyzed using thematic analysis in Nvivo software. Four key themes were emerged in this study such as the partcipants i) Narrating IPC compliance; ii) IPC compliance adherence; iii) Perceived barriers for noncompliance to IPC; iv) Empowering staff nurses and nursing students on IPC compliance. The study findings served as key evidence for the hospital top management and the nursing faculty in planning the strategies to improve the IPC training and monitoring by empowering staff nurses and nursing students at their teaching hospitals.

Features of severe forms of new coronavirus infection (COVID-19) in children

BACKGROUND: The problem of the complicated course of COVID-19 and deaths in children with severe comorbid pathology is relevant. Severe forms of the disease are often the cause of critical conditions and deaths, including decompensated respiratory failure, acute respiratory distress syndrome, septic shock, cardiac, hepatic, renal insufficiency, coagulation disorders, damage to the central nervous system.
 AIM: The aim is to analyze the features of the course of COVID-19 in children who require mandatory hospitalization in specialized hospitals for background pathology, to identify predictors of the development of severe forms of COVID-19 in order to choose the optimal ways of treating this pathology.
 MATERIALS AND METHODS: Under the supervision of the St. Petersburg State Pediatric Medical University in the department for children with new coronavirus infection COVID-19 with intensive care and intensive care wards in the period 2020–2022 with a confirmed diagnosis of “new coronavirus infection” there were 791 patients aged 0 to 17 years. The diagnosis was made on the basis of clinical and epidemiological data, the results of a comprehensive laboratory and instrumental study. The severity of the disease was determined in accordance with the methodological recommendations of the Ministry of Health of the Russian Federation.
 RESULTS: The severe form of COVID-19 was diagnosed in 34 patients out of 791 (4.3%). Adverse outcomes were 1.4%. In 27 out of 34 children (79.4%), new coronavirus infection occurred against the background of severe comorbid pathology. Pneumonia was diagnosed in 91.2% of cases. 88.2% of patients needed oxygen therapy.
 CONCLUSIONS: Severe forms of COVID-19 in children are characterized by high fever with severe intoxication, respiratory tract damage with a significant volume of lung damage (CT-3 and CT-4) with the development of multiple organ failure. Predictors that require mandatory hospitalization in specialized hospitals for background pathology in severe forms of COVID-19 are: primary immunodeficiency conditions, oncohematological pathology with postcytostatic aplasia of hematopoiesis, severe organic lesions of the central nervous system, epilepsy, protein-energy deficiency of 3–4 degrees, bronchopulmonary dysplasia, atypical emolytic uremic syndrome with acute kidney damage. Comprehensive treatment of such patients should be carried out by a multidisciplinary team in a specialized department with extensive diagnostic and therapeutic capabilities.

Overcoming language barriers in pediatric care: a multilingual, AI-driven curriculum for global healthcare education.

Online medical education often faces challenges related to communication and comprehension barriers, particularly when the instructional language differs from the healthcare providers' and caregivers' native languages. Our study addresses these challenges within pediatric healthcare by employing generative language models to produce a linguistically tailored, multilingual curriculum that covers the topics of team training, surgical procedures, perioperative care, patient journeys, and educational resources for healthcare providers and caregivers. An interdisciplinary group formulated a video curriculum in English, addressing the nuanced challenges of pediatric healthcare. Subsequently, it was translated into Spanish, primarily emphasizing Latin American demographics, utilizing OpenAI's GPT-4. Videos were enriched with synthetic voice profiles of native speakers to uphold the consistency of the narrative. We created a collection of 45 multilingual video modules, each ranging from 3 to 8 min in length and covering essential topics such as teamwork, how to improve interpersonal communication, "How I Do It" surgical procedures, as well as focused topics in anesthesia, intensive care unit care, ward nursing, and transitions from hospital to home. Through AI-driven translation, this comprehensive collection ensures global accessibility and offers healthcare professionals and caregivers a linguistically inclusive resource for elevating standards of pediatric care worldwide. This development of multilingual educational content marks a progressive step toward global standardization of pediatric care. By utilizing advanced language models for translation, we ensure that the curriculum is inclusive and accessible. This initiative aligns well with the World Health Organization's Digital Health Guidelines, advocating for digitally enabled healthcare education.

Preventing iatrogenic HCV infection: A quantitative risk assessment based on observational data in an Egyptian hospital.

When compliance with infection control recommendations is non-optimal, hospitals may play an important role in hepatitis C (HCV) transmission. However, few studies have analyzed the nosocomial HCV acquisition risk based on detailed empirical data. Here, we used data from a prospective cohort study conducted on 500 patients in the Ain Shams hospital (Cairo, Egypt) in 2017 with the objective of identifying (i) high-risk patient profiles and (ii) transmission hotspots within the hospital. Data included information on patient HCV status upon admission, their trajectories between wards and the invasive procedures they underwent. We first performed a sequence analysis to identify different hospitalization profiles. Second, we estimated each patient's individual risk of HCV acquisition based on ward-specific prevalence and procedures undergone, and risk hotspots by computing ward-level risks. Then, using a beta regression model, we evaluated upon-admission factors linked to HCV acquisition risk and built a score estimating the risk of HCV infection during hospitalization based on these factors. Finally, we assessed and compared ward-focused and patient-focused HCV control strategies. The sequence analysis based on patient trajectories allowed us to identify four distinct patient trajectory profiles. The risk of HCV infection was greater in the internal medicine department, compared to the surgery department (0·188% [0·142%-0·235%] vs. 0·043%, CI 95%: [0·036%-0·050%]), with risk hotspots in the geriatric, tropical medicine and intensive-care wards. Upon-admission risk predictors included source of admission, age, reason for hospitalization, and medical history. Interventions focused on the most at-risk patients were most effective to reduce HCV infection risk. Our results might help reduce the risk of HCV acquisition during hospitalization in Egypt by targeting enhanced control measures to ward-level transmission hotspots and to at-risk patients identified upon admission.