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International Journal of Infectious Diseases ; 130(Supplement 2):S116, 2023.
Article in English | EMBASE | ID: covidwho-2324373

ABSTRACT

Intro: Ritonavir-boosted nirmatrelvir has shown efficacy in reducing the rate of hospitalisation and 28-day mortality among unvaccinated populations with COVID-19. The role of Ritonavir-boosted nirmatrelvir among high risk hospitalised COVID-19 patients remained uncertain. Our study aimed to assess the efficacy of Ritonavir-boosted nirmatrelvir in reducing disease progression among high-risk hospitalised COVID-19 patients. Method(s): This is a retrospective case-control study (ratio 1:1) among hospitalised COVID-19 patients with mild-moderate severity, within 5 days of illness, and had at least one risk factor for severe disease. Treatment group (case) received Nirmatrelvir and Ritonavir twice daily for 5 days. Historical controls before the introduction of Ritonavir-boosted nirmatrelvir were obtained in the same hospital. Both groups received standard of care. The primary outcome was rate of clinical progression from non-hypoxia to hypoxia. Finding(s): 200 patients from January to July 2022 were included in the analysis, where 108 (54%) were male, mean age of 63.7 (SD 17.1), 95% completed primary COVID-19 vaccination and 91 (45.5%) had evidence of pneumonia (moderate severity). Most common comorbids were hypertension(65%), diabetes mellitus(40%) and overweight(36%). Clinical progression to hypoxia was significantly lower in the treatment group (4%) compared to the control group (18%) (OR=0.190, 95% CI: 0.0618 - 0.583). Comparing case to control, the rates of ICU admission were 1% vs 3%, mechanical ventilation 0% vs 2% and inpatient mortality 2% vs 2%. 97% patients completed Ritonavir-boosted nirmatrelvir in the treatment group. Conclusion(s): Among high-risk hospitalised COVID-19 patients who received ritonavir-boosted nirmatrevir, they were 81% less likely to experience desaturation. Ritonavir-boosted Nirmatrelvir remains beneficial among highly vaccinated populations during the Omicron wave in COVID-19 pandemic.Copyright © 2023

2.
2022 16th Ieee International Conference on Service-Oriented System Engineering (Sose 2022) ; : 147-153, 2022.
Article in English | Web of Science | ID: covidwho-2309326

ABSTRACT

Due to the spread of COVID-19, people are starting to be more aware and careful when touching any devices in public. To reduce physical contact with public devices, we have developed a method that enables users to interact with many kinds of public devices using the browser on their smartphones. This method is called Chameleon because it resembles the ability of the animal chameleon to change its color according to its surrounding environment. We have developed the prototype system to confirm the mechanism of Chameleon. Then, we have applied the Chameleon method to two practical systems in the campus of Nagasaki University that is expected to be used by multiple users. These two systems are a Certificate Issuance System for students and a Digital Signage System, that provides directions to campus visitors. Through these experiences, we confirmed the availability of the Chameleon method as the new type of the browser included not only Web server browsing functions but also public device operation functions.

3.
Ieee Internet of Things Journal ; 9(24):25791-25804, 2022.
Article in English | Web of Science | ID: covidwho-2191982

ABSTRACT

Sleep apnea impacts more and more people all over the world, and obstructive sleep apnea of which is the most frequent. Hence, research on snoring detection and related suppression methods is extremely urgent. In this article, a novel low-cost flexible patch with MEMS microphone and accelerometer is developed to detect snore event and sleeping posture, and a small vibration motor embedded in the patch is designed to suppress snoring. Theoretical analyses of short-time energy, piecewise average filtering (PAF), and Mel-frequency cepstral coefficients (MFCCs) processing are described in detail, and the improved MFCCs are put forward and used as the input of the convolutional neural network (CNN). Furthermore, the snore recognition method based on the combination of similarity analysis and CNN analysis is presented, followed by the snoring suppression method. Experimental results demonstrate that the main features of the sound signals can be extracted effectively by PAF and MFCCs processing, and the data compression ratio is about 99.41%. Besides, the locations of the eigenvectors can be found accurately based on short-time energy analysis. The numbers of high similarity of snoring signals within 30 s are larger than 3, while those of non-snoring signals are often less than 3. If the preliminary screening with similarity analysis is passed, CNN analysis will be conducted to judge whether there are snoring events. The accuracy of snore recognition with CNN analysis is calculated to be as high as 99.25%. Finally, the average snoring time measured by the smart patch with snoring suppression is reduced to 15 from 135 min, which indicates that the proposed snore recognition and suppression methods are effective.

4.
16th IEEE International Conference on Service-Oriented System Engineering, SOSE 2022 ; : 147-153, 2022.
Article in English | Scopus | ID: covidwho-2136482

ABSTRACT

Due to the spread of COVID-19, people are starting to be more aware and careful when touching any devices in public. To reduce physical contact with public devices, we have developed a method that enables users to interact with many kinds of public devices using the browser on their smartphones. This method is called Chameleon because it resembles the ability of the animal chameleon to change its color according to its surrounding environment. We have developed the prototype system to confirm the mechanism of Chameleon. Then, we have applied the Chameleon method to two practical systems in the campus of Nagasaki University that is expected to be used by multiple users. These two systems are a Certificate Issuance System for students and a Digital Signage System, that provides directions to campus visitors. Through these experiences, we confirmed the availability of the Chameleon method as the new type of the browser included not only Web server browsing functions but also public device operation functions. © 2022 IEEE.

5.
11th IEEE International Conference on Consumer Electronics, ICCE-Berlin 2021 ; 2021-November, 2021.
Article in English | Scopus | ID: covidwho-1769603

ABSTRACT

Due to the spread of COVID-19, people are starting to be more aware and careful when touching any devices in the public. In this paper, we proposed a method that could help reduce physical contacts with public devices using smartphone. This method is called Chameleon and we have developed the Chameleon so that it functions as an application that can control any kinds of public devices with minimal modifications.To confirm the effectiveness of the Chameleon, we have applied the method to two different systems in the campus of Nagasaki University that is expected to be used by multiple users. The two systems are a Digital Signage System, a system that provides directions to campus visitors, and a PIN type Smart Lock, a system that acts as a door lock. © 2021 IEEE.

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