An analysis of the treatment effect of two modes of oxygenation on patients with radiation pneumonia complicated by respiratory failure

BACKGROUND: Stereotactic radiotherapy (SBRT) is widely used in the treatment of thoracic cancer. OBJECTIVE: To evaluate the efficacy of a non-rebreather mask (NRBM) and high-flow nasal cannula (HFNC) in patients with radiation pneumonia complicated with respiratory failure. METHODS: This was a single-center randomized controlled study. Patients admitted to the EICU of the Fourth Hospital of Hebei Medical University were selected and divided into NRBM and HFNC group. Arterial blood gas analysis, tidal volume, respiratory rates and the cases of patients receiving invasive assisted ventilation were collected at 0, 4, 8, 12, 24, 48, and 72 h after admission. RESULTS: (1) The PaO2/FiO2, respiratory rates, and tidal volume between the two groups at 0, 4, 8, 12, 24, 48, and 72 h were different, with F values of 258.177, 294.121, and 134.372, all P< 0.01. These indicators were different under two modes of oxygenation, with F values of 40.671, 168.742, and 55.353, all P< 0.01, also varied with time, with an F value of 7.480, 9.115, and 12.165, all P< 0.01. (2) The incidence of trachea intubation within 72 h between HFNC and NRBM groups (23 [37.1%] vs. 34 [54.0%], P< 0.05). The transition time to mechanical ventilation in the HFNC and NRBM groups (55.3 ± 3.2 h vs. 45.9 ± 3.6 h, P< 0.05). (3) The risk of intubation in patients with an APACHE-II score > 23 was 2.557 times than score ⩽ 23, and the risk of intubation in the NRBM group was 1.948 times more than the HFNC group (P< 0.05). CONCLUSION: Compared with the NRBM, HFNC can improve the oxygenation state of patients with radiation pneumonia complicated with respiratory failure in a short time, and reduce the incidence of trachea intubation within 72 h.

Image classification of vaginal microecology detection based on gabor texture and LSTM model

BACKGROUND: Gynecological diseases threaten women’s health, and vaginal microecological testing is a common method for detecting gynecological diseases. Efficient and accurate microecological testing methods have always been the goal pursued by gynecologists. OBJECTIVE: In order to automatically identify different types of microbial images in vaginal micromorphology detection, this paper proposes a vaginal microecological image recognition method based on Gabor texture analysis combined with long and short-term memory network (LSTM) model. METHOD: Firstly, we denoise the microecological morphological im-ages, which selects the area of interest and sets the label of the microorganism according to the doctors label. Secondly, texture analysis is carried out for the region of interest, which uses Gabor filters with 8 directions and 5 scales to filter the region of interest to extract the texture features on the image. Comparing the differences between different microbial image features, and screening suitable features to reduce the number of features. Then, we design an LSTM model to analyze the relationship of image features in different categories of microorganisms. Finally, we use the full connection layer and Softmax function to realize the automatic recognition of different microbial images. RESULTS: The experimental results show that the image classification accuracy of 8 common microorganisms is 81.26%. CONCLUSION: Texture analysis combined with LSTM network strategy can identify different kinds of vaginal micro ecological images. Gabor-LSTM model has better classification effect on imbalanced data sets.

The clinical application of an innovative tracheotomy fixation belt in critically ill patients

BACKGROUND: Tracheotomy is one of the first-aid measures for rescuing critically ill patients. OBJECTIVE: This study was designed to observe the clinical effect of using an innovative tracheotomy fixation belt in critically ill patients and to explore the feasibility of using this fixation method. METHODS: Eighty critically ill patients requiring a tracheotomy in Putuo District Central Hospital of Shanghai were enrolled in this study and divided into the observation group and control group (n= 40, each). In the control group, fixation was performed with conventional cotton twill tape, while in the observation group the fixation was carried out using a tracheotomy fixation belt. The differences in neck skin injury, the occurrence of eczema, and the rate of detachment of the tracheotomy tube in the two groups were compared. RESULTS: The rate of neck skin injury was 7.5% lower in the observation group than in the control group (30%), and the difference was statistically significant (p< 0.05). The incidence of skin eczema was 5% lower in the observation group than in the control group (22.5%), and the difference was statistically significant (p< 0.05). The detachment rate of the tracheotomy tube was 5% lower in the observation group than in the control group (20%), and the difference was statistically significant (p< 0.05). CONCLUSION: The use of an innovative tracheotomy fixation belt can effectively reduce skin damage to the patient’s neck, the incidence of eczema, and the incidence of detachment of the tracheotomy tube.

Definition of catheter jamming: A mechanical analysis of catheter fracture tension and fracture strain

BACKGROUND: Catheter jamming is an emerging and possibly underrated complication. OBJECTIVE: To find the criteria for determining if the catheter cannot be removed through the mechanical analysis of fracture tension and fracture strain (εf) of Peripheral Inserted Central Catheters (PICC). METHOD: We removed 30 pieces of PICC catheters from patients and recorded the indwelling time. Those with an indwelling time shorter than 12 weeks belonged to the short-term group. Those with an indwelling time longer than 12 weeks belonged to the long-term group. The first half of the same catheter is section A, and the second half is section B. The fraction tension and fracture strain of the catheter were measured, and statistical analysis was conducted. RESULTS: The fracture tension of catheter in sections A and B were 5.8917 ± 1.0095 and 6.0670 ± 0.8066 Newtons respectively (p= 0.393) and the fracture strain of catheter in sections A and B were 6.0611 ± 1.0810 and 6.2543 ± 0.7187 Newtons respectively (p= 0.343). The fracture tension of catheter in short-term and long-term group were 6.0696 ± 0.9414 and 5.9192 ± 0.8972 Newtons respectively (p= 0.535) and the fracture strain of catheter in short-term and long-term group were 6.0067 ± 0.7227 and 6.2584 ± 1.0212 respectively (p= 0.301). CONCLUSION: It is objective and consistent to take the catheter fracture tension as the standard. This standard would be able to accurately define the concept of catheter failure and reduce the risk of catheter fracture and the misdiagnosis of catheter failure. The catheter fracture tension and fracture strain was not affected by the catheter indwelling time. It is recommended to set the tensile force as 5 Newtons and carry it out at a speed of 100 mm/min for the catheter drawing of the PICC single-lumen silicone catheter (4.0F) from Budd Company.

Discrimination between parkinsonian tremor and essential tremor using artificial neural network with hybrid features

BACKGROUND: Essential tremor (ET) and the tremor in Parkinson’s disease (PD) are the two most common pathological tremors with a certain overlap in the clinical presentation. OBJECTIVE: The main purpose of this work is to use an artificial neural network to select the best features and to discriminate between the two types of tremors. The features used are of hybrid type obtained from two different algorithms: the statistical signal characterization (SSC) of the signal describing its morphology, and the soft-decision wavelet-decomposition (SDWD) features extracted from the accelerometer and surface EMG signals. METHODS: The SSC method is used to obtain morphology-based features of the spectrum of the accelerometer and two surface EMG signals. The SDWD technique is used in this work to obtain the approximate spectral representation of both accelerometer and the two surface EMG signals. Two sets of data (training and test) are used in this paper. The training set consists of 21 ET subjects and 19 PD subjects, while the test set consists of 20 ET and 20 PD subjects. A neural network of the type feed forward back propagation has been used to combine best SSC features and best SDWD features of the accelerometer and EMG signals. RESULTS: Efficiency result of 92.5% was obtained using best hybrid features. CONCLUSIONS: The artificial neural network has been used successfully to combine two types of features in an automatic discrimination system between PD and ET.

EpidemiXs: Harnessing digital technology in the fight against COVID-19 and the associated infodemic

BACKGROUND: EpidemiXs is an innovative ecosystem of digital tools centralizing official and validated information on COVID-19 for healthcare workers and the general public in a single hub. OBJECTIVE: The vision of EpidemiXs is to foster collaboration between researchers, institutions and individuals to promote “open data” in order to enrich the scientific community and further accelerate science in the fight against COVID-19. METHODS: Through its set of solutions, EpidemiXs Info, EpidemiXs TV and EpidemiXs Studies, this innovative ecosystem contributes to advancing collaborations, data collection and analysis, and helps find funders. RESULTS: EpidemiXs was launched in March 2020 in Spain with 30 healthcare institutions and rapidly reached close to 1 million users and 2 million views. EpidemiXs gained international recognition when it was awarded the Barcelona Health Hub Awards (BHHAwards) 2020 of the category “Best Startup Initiative to help tackle COVID-19”. CONCLUSION: EpidemiXs has proven the efficiency of the rapid deployment of digital tools in times of COVID-19.

Biotech value chain and technologies for COVID-19 research areas for collaboration on cost quality tradeoff with tool companies

BACKGROUND: Technologies for COVID-19 are in high demand, and supply chains from biotech and pharma industries face critical supply issues. OBJECTIVE: This paper discusses the case on mRNA technologies and quality assurance issues. METHODS: Interviews with managers of biotech companies were performed. These helped to prepare biotech panels at a roundtable on quality of medicine, organized by the Polish Academy of Sciences in Paris (PAN) in 2021. RESULTS: This paper analyzes the new mRNA technology and shows the importance of emerging new biotech firms, especially tool companies providing services in quality assurance. It highlights research areas and types of survey instruments with academic collaborators, to better understand the economics of mRNA technology platforms. CONCLUSIONS: A future research agenda for collaboration with academic communities is proposed on cost-quality trade-offs and clinical quality attributes for such genomic technologies.

Without IPv6, there is no digital transformation for healthcare

BACKGROUND: Originally, digital healthcare was created to support underserved and rural patients gain access to health services. Phones, devices, and computers need IP (Internet Protocol) addresses to connect to the Internet. OBJECTIVE: This paper aims to study the close relationship between the Internet and the transformation of healthcare services. METHODS: The current protocol in use is the Internet protocol version 4 (IPv4), whose number of Internet addresses has been globally exhausted. The Internet Protocol version 6 (IPv6) with 47 octillion unique addresses for every person on the planet has become the only option for sustainable growth and innovation. However, most of the worldwide industry is still in IPv4. In the era of Artificial Intelligence, Internet of Things, Fifth Generation of Cellular Technology (5G), and Blockchain, there will be a massive need of IP addresses. For 2025, experts predict over 1.5 billion new IPv6 users which will continue to grow exponentially. RESULTS: Nations need to tackle the increasing industry requirements for IPv6 and telehealth adoption to benefit from the full IPv6 connectivity which is the key strategic advantage for the healthcare industry. CONCLUSION: The strategic potential that telehealth brings to the healthcare industry is widely appreciated. However, what are the implications of its expansion around the world? How can we prioritize the poorest and most vulnerable in society without new technologies?