Introduction Hypoglycaemia is a harmful potential complication in people with type 1 diabetes mellitus (T1DM) and can be exacerbated in patients receiving treatment, such as insulin therapies, by the very interventions aiming to achieve optimal blood glucose levels. Symptoms can vary greatly, including, but not limited to, trembling, palpitations, sweating, dry mouth, confusion, seizures, coma, brain damage or even death if untreated. A pilot study with healthy (euglycaemic) participants previously demonstrated that hypoglycaemia can be detected non-invasively with artificial intelligence (AI) using physiological signals obtained from wearable sensors. This protocol provides a methodological description of an observational study for obtaining physiological data from people with T1DM. The aim of this work is to further improve the previously developed AI model and validate its performance for glycaemic event detection in people with T1DM. Such a model could be suitable for integrating into a continuous, non-invasive, glucose monitoring system, contributing towards improving surveillance and management of blood glucose for people with diabetes. Methods and analysis This observational study aims to recruit 30 patients with T1DM from a diabetes outpatient clinic at the University Hospital Coventry and Warwickshire for a two-phase study. The first phase involves attending an inpatient protocol for up to 36 hours in a calorimetry room under controlled conditions, followed by a phase of free-living, for up to 3 days, in which participants will go about their normal daily activities unrestricted. Throughout the study, the participants will wear wearable sensors to measure and record physiological signals (eg, ECG and continuous glucose monitor). Data collected will be used to develop and validate an AI model using state-of-the-art deep learning methods. Ethics and dissemination This study has received ethical approval from National Research Ethics Service (ref: 17/NW/0277). The findings will be disseminated via peer-reviewed journals and presented at scientific conferences. Trial registration number NCT05461144.

Sleep disorders can impact daily life, affecting physical, emotional, and cognitive well-being. Due to the time-consuming, highly obtrusive, and expensive nature of using the standard approaches such as polysomnography, it is of great interest to develop a noninvasive and unobtrusive in-home sleep monitoring system that can reliably and accurately measure cardiorespiratory parameters while causing minimal discomfort to the user’s sleep. We developed a low-cost Out of Center Sleep Testing (OCST) system with low complexity to measure cardiorespiratory parameters. We tested and validated two force-sensitive resistor strip sensors under the bed mattress covering the thoracic and abdominal regions. Twenty subjects were recruited, including 12 males and 8 females. The ballistocardiogram signal was processed using the 4th smooth level of the discrete wavelet transform and the 2nd order of the Butterworth bandpass filter to measure the heart rate and respiration rate, respectively. We reached a total error (concerning the reference sensors) of 3.24 beats per minute and 2.32 rates for heart rate and respiration rate, respectively. For males and females, heart rate errors were 3.47 and 2.68, and respiration rate errors were 2.32 and 2.33, respectively. We developed and verified the reliability and applicability of the system. It showed a minor dependency on sleeping positions, one of the major cumbersome sleep measurements. We identified the sensor under the thoracic region as the optimal configuration for cardiorespiratory measurement. Although testing the system with healthy subjects and regular patterns of cardiorespiratory parameters showed promising results, further investigation is required with the bandwidth frequency and validation of the system with larger groups of subjects, including patients.

Background: The transfemoral (TF) arterial approach is still the most commonly used approach for performing diagnostic coronary angiography in most centers in the world as well as in Bosnia and Herzegovina. Recently, the transradial (TR) arterial approach has gained more and more supporters among interventional cardiologists. Objective: The aim of the study was to compare the duration of the procedure, the amount of delivered ionizing radiation, the amount of applied contrast agent, the frequency of procedural complications and patient comfort during coronary angiography performed via TR and TF arterial approach. Methods: The total sample of 240 respondents was divided into two groups in such a way that the first group consisted of 121 respondents who underwent coronary angiography using TR arterial approach, and the second group consisted of 119 respondents who underwent coronary angiography using TF arterial approach. The Mann-Whitney U test was used to verify the research objective. Results: The obtained research results showed that the duration of coronary angiography and the amount of radiation was greater when using TR arterial approach compared to TF approach. There is no statistically significant difference in relation to the amount of applied contrast medium and the frequency of complications between the two approaches. Periprocedural and postprocedural comfort was better in patents who underwent TR approach. Conclusion: The findings of this study show that diagnostic coronary angiography performed via the TR arterial approach is as safe for the patient as diagnostic coronary angiography performed via the TF arterial approach. With both approaches, there is no significant difference in the amount of contrast agent used nor in the frequency of complications. Procedure duration and radiation exposure are shorter when TF arterial approach i used, while patient comfort is better when the TR arterial approach is used.

Introduction: Aorto-pulmonary

Objectives. The main objective of this paper was to examine the perceptions of family physicians on the use of primary health care in Bosnia and Herzegovina during the COVID-19 pandemic. Materials and Methods. A cross-sectional study was conducted using a short online questionnaire that was sent to primary care physicians in Bosnia and Herzegovina from April 20th, 2022, to May 20th, 2022. Results. The research sample consisted of 231 doctors of primary health care from Bosnia and Herzegovina, with an average age of 45 years and 85% women. About 70% of participants reported having COVID-19 at least once from March 2020 to March 2022. Participants had an average of 1,986 registered patients and approximately 50 encounters per day. The study revealed a high degree of reliability between test-retest measurements, with a single measure Intraclass correlation coefficient of 0.801, and internal consistency determined using Cronbach’s alpha of 0.89. Participants reported that the following health services were most affected during the COVID-19 pandemic: care for patients with chronic diseases, home visits, navigating the health system with patients making appointments with specialists, cancer screening, and preventive health services. The study also found statistically significant perceived differences in the use of these health services based on age, gender, postgraduate education in family medicine, participation in COVID-19 clinics, and personal history of Covid-19. Conclusion. There were significant disturbances to the use of primary health care during the COVID-19 pandemic. Future research could investigate patient outcomes compared to family physician perceptions.

As one of the important enabling techniques for 6G, wireless caching network (WCN) attracts significant attentions. In this paper, we jointly apply unmanned aerial vehicle (UAV), millimeter wave (mmWave) multiple input multiple output (MIMO) and non-orthogonal multiple access (NOMA) in WCN. Our aim is to minimize the user delay, which is decomposed into three sub-problems, i.e., UAV deployment, hybrid beamforming and power allocation. Firstly, to improve the user rate, we apply K-means to reduce the distance between UAVs and users and propose a user pairing method to maintain the channel gain gap in each pair. Then, for increasing UAV hit probability, particle swarm optimization (PSO) and zero forcing are used for analog beamforming and digital beamforming, respectively. Finally, to further improve the user data rate, the genetic algorithm (GA) is applied to calculate the optimal NOMA power allocation factors. Simulation results confirm that the proposed schemes can achieve lower user delay compared with baseline schemes.

Objective. The aim of this study was to investigate students’ knowledge, attitudes and hesitancy regarding COVID-19 vaccination. Methods. A cross-sectional questionnaire-based survey was conducted among a total of 1282 medical students and 509 non-medical students at four public universities in Bosnia and Herzegovina: Tuzla, Sarajevo, Banja Luka, and Mostar. Results. A significantly higher rate of vaccination was observed in the group of medical students as well as a higher level of knowledge about vaccination in general and vaccines against the COVID-19 disease. Students who received the COVID-19 vaccine had a higher level of knowledge about vaccination in general and COVID-19 vaccines in particular compared to the non-vaccinated students in the medical and non-medical groups, respectively. Furthermore, vaccinated students, regardless of the course they are taking, showed generally stronger positive attitudes compared to non-vaccinated students, regarding the safety and effectiveness of the COVID-19 vaccine. Both groups of students believe that the rapid development of the vaccine is contributing to refusal or hesitancy to receive a vaccine against COVID-19. Social media/networks were the main sources of information about the COVID-19 vaccine. We did not find any contribution of social media to the reduced level of COVID-19 vaccine coverage. Conclusion. Education of students about the benefits of the COVID-19 vaccine will lead to its better acceptance as well as the development of more positive attitudes towards vaccination in general, especially having in mind that students are the future population of parents, who will make decisions about vaccinating their children.

Background: Various factors can affect the survival of patients with laryngeal cancer (LC). In this retrospective study, we assessed clinicopathological features, their prognostic value, and treatment modalities for patients with confirmed squamous cell LC. Methods: We collected patient data on demographics, clinicopathological characteristics, treatment patterns, and outcomes. The primary endpoints were overall survival (OS), disease-specific survival (DSS), disease-free survival (DFS), and locoregional control (LRC). We assessed survival using the Kaplan–Meier method and Cox regression model analyses of potential prognostic parameters. Results: After a median follow-up of 76 months, 28 (33.3%) patients had a recurrence. The median OS was 78 months, with an event recorded in 50% of patients. The DSS median was not reached (NR) with a survival rate of 72.6%, the DFS survival rate was 66.7% with median NR, and the LRC survival rate was 72.6% with median NR. After conducting a multivariate analysis of significant variables, we found that only recurrence and lymphatic invasion had an independent effect on OS and recurrence in DSS, while subsite impacted DFS and LRC. Conclusions: Survival trends were consistent with other studies, except for OS. Recurrence, lymphatic invasion, and subsite location were significant factors that impacted patient survival.