Simple Summary The aim of the study was to determine the morphological and morphometrical features of the auditory ossicles in the red fox. Moreover, for the first time, shape analysis was performed on all the middle ear bones by geometric morphometry. The auditory ossicles play a vital role in transmitting sound waves through the middle ear. The malleus was considered to be the largest bone, with three distinctive processes. The overall shape of the incus was found to be similar to that in other mammals. The presence of a prominent muscular process was noted on the head of the stapes and the convex base which closes the window of the inner ear. Abstract The use of carnivores as experimental models in auditory biology has led to a significant improvement regarding our understanding of the structure and function of the ear. Considering that data regarding the anatomy of the middle ear in the red fox are rare, this study aimed to describe the morphological and morphometrical features of the auditory ossicles in the red fox, as well as to provide their shape characteristics by geometric analysis. Nine adult red foxes were used in the study. The malleus, incus and stapes were extracted from the middle ear, prepared, photographed and measured using the software. For the geometric analysis, 19 landmarks were used. Following Principal Component Analysis (PCA), PC1 was found to explain approximately half of all variance (incus: 49.97%; malleus: 49.93%; stapes: 58.49%). The study demonstrated the similar anatomical organization of the auditory ossicles in line with important morphometric and basic geometric data, which can contribute to this field and add a useful perspective to the literature.
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.
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