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27 results on '"Zhong Lina"'

1. Outpatient human coronavirus associated conjunctivitis in India

Author

Prajna, N Venkatesh, primary, Lalitha, Prajna, additional, Teja, Gonugunta Vishnu, additional, Gunasekaran, Rameshkumar, additional, Sharma, Sankalp S., additional, Hinterwirth, Armin, additional, Ruder, Kevin, additional, Zhong, Lina, additional, Chen, Cindi, additional, Deiner, Michael, additional, Huang, ChunHong, additional, Pinsky, Benjamin A., additional, Lietman, Thomas M., additional, Seitzman, Gerami D., additional, and Doan, Thuy, additional

Published
2022
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2. Deep sequencing analysis of clinical samples from patients with acute infectious conjunctivitis during the COVID-19 delta surge in Madurai, India

Author

Lalitha, Prajna, primary, Prajna, N Venkatesh, additional, Gunasekaran, Rameshkumar, additional, Teja, Gonugunta Vishnu, additional, Sharma, Sankalp S., additional, Hinterwirth, Armin, additional, Ruder, Kevin, additional, Zhong, Lina, additional, Chen, Cindi, additional, Deiner, Michael, additional, Huang, ChunHong, additional, Pinsky, Benjamin A., additional, Lietman, Thomas M., additional, Doan, Thuy, additional, and Seitzman, Gerami D., additional

Published
2022
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3. Biomarkers for primary open-angle glaucoma progression

Author

Zhao, Mengya, primary, Ma, Ping, additional, Xie, Qinghong, additional, Bui, Anh, additional, Yonamine, Sean, additional, Hinterwirth, Armin, additional, Zhong, Lina, additional, Chen, Cindi, additional, Doan, Thuy, additional, and Han, Ying, additional

Published
2022
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5. Mobile Photoplethysmographic Technology to Detect Atrial Fibrillation

Author

Yutao Guo, Hao Wang, Hui Zhang, Tong Liu, Zhaoguang Liang, Yunlong Xia, Li Yan, Yunli Xing, Haili Shi, Shuyan Li, Yanxia Liu, Fan Liu, Mei Feng, Yundai Chen, Gregory Y.H. Lip, Deirdre A. Lane, Liming Wang, Jens Eckstein, G Neil Thomas, Liu Tong, Feng Mei, Liu Xuejun, Li Xiaoming, Shan Zhaoliang, Shi Xiangming, Zhang Wei, Xing Yunli, Wen Jing, Wu Fan, Yang Sitong, Jin Xiaoqing, Yang Bo, Bai Xiaojuan, Jiang Yuting, Liu Yangxia, Song Yingying, Tan Zhongju, Yang Li, Luan Tianzhu, Niu Chunfeng, Zhang Lili, Li Shuyan, Wang Zulu, Xv Bing, Liu Liming, Jin Yuanzhe, Xia Yunlong, Chen Xiaohong, Wu Fang, Zhong Lina, Sun yihong, Jia shujie, Li Jing, Li Nan, Li shijun, Liu huixia, Li Rong, Liu Fan, Ge qingfeng, Guan tianyun, Wen Yuan, Li Xin, Ren Yan, Chen xiaoping, Chen ronghua, Shi Yun, Zhao yulan, Shi haili, Zhao yujie, Wang quanchun, Sun weidong, Wei Lin, Esther Chan, Shan Guangliang, Yao Chen, Zong Wei, Chen Dandi, Han Xiang, Xu Anding, Fan Xiaohan, Yu Ziqiang, Gu Xiang, and Ge Fulin

Subjects
medicine.medical_specialty, business.industry, screening, Large population, Atrial fibrillation, 030204 cardiovascular system & hematology, medicine.disease, 03 medical and health sciences, Pulse rhythm, 0302 clinical medicine, Current management, Photoplethysmogram, Emergency medicine, Cohort, Medicine, atrial fibrillation, photoplethysmography, 030212 general & internal medicine, Cardiology and Cardiovascular Medicine, business, mHealth, Stroke, integrated care
Abstract

Background: Low detection and nonadherence are major problems in current management approaches for patients with suspected atrial fibrillation (AF). Mobile health devices may enable earlier AF detection and improved AF management. Objectives: This study sought to investigate the effectiveness of AF screening in a large population-based cohort using smart device–based photoplethysmography (PPG) technology, combined with a clinical care AF management pathway using a mobile health approach. Methods: AF screening was performed with smart devices using PPG technology, which were made available for the population ≥18 years of age across China. Monitoring for at least 14 days with a wristband (Honor Band 4) or wristwatch (Huawei Watch GT, Honor Watch, Huawei Technologies Co., Ltd., Shenzhen, China) was allowed. The patients with “possible AF” episodes using the PPG algorithm were further confirmed by health providers among the MAFA (mobile AF app) Telecare center and network hospitals, with clinical evaluation, electrocardiogram, or 24-h Holter monitoring. Results: There were 246,541 individuals who downloaded the PPG screening app, and 187,912 individuals used smart devices to monitor their pulse rhythm between October 26, 2018, and May 20, 2019. Among those with PPG monitoring (mean age 35 years, 86.7% male), 424 (of 187,912, 0.23%) (mean age 54 years, 87.0% male) received a “suspected AF” notification. Of those effectively followed up, 227 individuals (of 262, 87.0%) were confirmed as having AF, with the positive predictive value of PPG signals being 91.6% (95% confidential interval [CI]: 91.5% to 91.8%). Both suspected AF and identified AF markedly increased with age (p for trend

Published
2019
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6. Mobile Health Technology to Improve Care for Patients With Atrial Fibrillation

Author

Yutao Guo, Deirdre A. Lane, Limin Wang, Hui Zhang, Hao Wang, Wei Zhang, Jing Wen, Yunli Xing, Fang Wu, Yunlong Xia, Tong Liu, Fan Wu, Zhaoguang Liang, Fan Liu, Yujie Zhao, Rong Li, Xin Li, Lili Zhang, Jun Guo, Girvan Burnside, Yundai Chen, Gregory Y.H. Lip, Liming Wang, Jens Eckstein, G Neil Thomas, Liu Tong, Feng Mei, Liu Xuejun, Li Xiaoming, Shan Zhaoliang, Shi Xiangming, Zhang Wei, Xing Yunli, Wen Jing, Wu Fan, Yang Sitong, Jin Xiaoqing, Yang Bo, Bai Xiaojuan, Jiang Yuting, Liu Yangxia, Song Yingying, Tan Zhongju, Yang Li, Luan Tianzhu, Niu Chunfeng, Zhang Lili, Li Shuyan, Wang Zulu, Xv Bing, Liu Liming, Jin Yuanzhe, Xia Yunlong, Chen Xiaohong, Wu Fang, Zhong Lina, Sun Yihong, Jia Shujie, Li Jing, Li Nan, Li Shijun, Liu Huixia, Li Rong, Liu Fan, Ge Qingfeng, Guan Tianyun, Wen Yuan, Li Xin, Ren Yan, Chen Xiaoping, Chen Ronghua, Shi Yun, Zhao Yulan, Shi Haili, Zhao Yujie, Wang Quanchun, Sun Weidong, Wei Lin, Esther Chan, Shan Guangliang, Yao Chen, Zong Wei, Chen Dandi, Han Xiang, Xu Anding, Fan Xiaohan, Yu Ziqiang, Gu Xiang, and Ge Fulin

Subjects
Male, medicine.medical_specialty, China, 030204 cardiovascular system & hematology, 03 medical and health sciences, 0302 clinical medicine, Thromboembolism, Atrial Fibrillation, medicine, Humans, atrial fibrillation, 030212 general & internal medicine, Cluster randomised controlled trial, Stroke, mHealth, mobile health, Aged, integrated care, Aged, 80 and over, business.industry, Hazard ratio, Anticoagulants, Atrial fibrillation, Middle Aged, medicine.disease, Comorbidity, Confidence interval, Telemedicine, adverse events, Integrated care, Hospitalization, Emergency medicine, Female, Cardiology and Cardiovascular Medicine, business
Abstract

BACKGROUND: Current management of patients with atrial fibrillation (AF) is limited by low detection of AF, non-adherence to guidelines, and lack of consideration of patients' preferences, thus highlighting the need for a more holistic and integrated approach to AF management.OBJECTIVE: The objective of this study was to determine whether a mobile health (mHealth) technology-supported AF integrated management strategy would reduce AF-related adverse events, compared with usual care.METHODS: This is a cluster randomized trial of patients with AF older than 18 years of age who were enrolled in 40 cities in China. Recruitment began on June 1, 2018 and follow-up ended on August 16, 2019. Patients with AF were randomized to receive usual care, or integrated care based on a mobile AF Application (mAFA) incorporating the ABC (Atrial Fibrillation Better Care) Pathway: A, Avoid stroke; B, Better symptom management; and C, Cardiovascular and other comorbidity risk reduction. The primary composite outcome was a composite of stroke/thromboembolism, all-cause death, and rehospitalization. Rehospitalization alone was a secondary outcome. Cardiovascular events were assessed using Cox proportional hazard modeling after adjusting for baseline risk.RESULTS: There were 1,646 patients allocated to mAFA intervention (mean age, 67.0 years; 38.0% female) with mean follow-up of 262 days, whereas 1,678 patients were allocated to usual care (mean age, 70.0 years; 38.0% female) with mean follow-up of 291 days. Rates of the composite outcome of 'ischemic stroke/systemic thromboembolism, death, and rehospitalization' were lower with the mAFA intervention compared with usual care (1.9% vs. 6.0%; hazard ratio [HR]: 0.39; 95% confidence interval [CI]: 0.22 to 0.67; p < 0.001). Rates of rehospitalization were lower with the mAFA intervention (1.2% vs. 4.5%; HR: 0.32; 95% CI: 0.17 to 0.60; p < 0.001). Subgroup analyses by sex, age, AF type, risk score, and comorbidities demonstrated consistently lower HRs for the composite outcome for patients receiving the mAFA intervention compared with usual care (all p < 0.05).CONCLUSIONS: An integrated care approach to holistic AF care, supported by mHealth technology, reduces the risks of rehospitalization and clinical adverse events. (Mobile Health [mHealth] technology integrating atrial fibrillation screening and ABC management approach trial; ChiCTR-OOC-17014138).

Published
2020
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7. Comprehensive pathogen detection for ocular infections

Author

Doan, Thuy, primary, Sahoo, Malaya K., additional, Ruder, Kevin, additional, Huang, ChunHong, additional, Zhong, Lina, additional, Chen, Cindi, additional, Hinterwirth, Armin, additional, Lin, Charles, additional, Gonzales, John A., additional, Pinsky, Benjamin A., additional, and Acharya, Nisha R., additional

Published
2021
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13. Cause-specific mortality of children younger than 5 years in communities receiving biannual mass azithromycin treatment in Niger: verbal autopsy results from a cluster-randomised controlled trial

Author

Keenan, Jeremy D, primary, Arzika, Ahmed M, additional, Maliki, Ramatou, additional, Elh Adamou, Sanoussi, additional, Ibrahim, Fatima, additional, Kiemago, Mariama, additional, Galo, Nana Fatima, additional, Lebas, Elodie, additional, Cook, Catherine, additional, Vanderschelden, Benjamin, additional, Bailey, Robin L, additional, West, Sheila K, additional, Porco, Travis C, additional, Lietman, Thomas M, additional, Emerson, Paul M, additional, Weaver, Jerusha, additional, Hart, John, additional, Abdou, Amza, additional, Kadri, Boubacar, additional, Beido, Nassirou, additional, Callahan, E Kelly, additional, Stewart, Aisha E, additional, Kane, Salissou, additional, Cotter, Sun Y, additional, Doan, Thuy, additional, Fry, Dionna M, additional, Keenan, Jeremy D, additional, Lin, Ying, additional, O'Brien, Kieran S, additional, Oldenburg, Catherine E, additional, Ray, Kathryn J, additional, Rosenthal, Philip J, additional, Rutherford, George W, additional, Varnado, Nicole E, additional, Zhong, Lina, additional, and Zhou, Zhaoxia, additional

Published
2020
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17. Unbiased Pathogen Detection and Host Gene Profiling for Conjunctivitis

Author

Lalitha, Prajna, primary, Seitzman, Gerami D., additional, Kotecha, Ritesh, additional, Hinterwirth, Armin, additional, Chen, Cindi, additional, Zhong, Lina, additional, Cummings, Milo E., additional, Lebas, Elodie, additional, Sahoo, Malaya K., additional, Pinsky, Benjamin A., additional, Lietman, Thomas M., additional, and Doan, Thuy, additional

Published
2019
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18. Metagenomic DNA Sequencing for the Diagnosis of Intraocular Infections

Author

Doan, Thuy, primary, Acharya, Nisha R., additional, Pinsky, Benjamin A., additional, Sahoo, Malaya K., additional, Chow, Eric D., additional, Banaei, Niaz, additional, Budvytiene, Indre, additional, Cevallos, Vicky, additional, Zhong, Lina, additional, Zhou, Zhaoxia, additional, Lietman, Thomas M., additional, and DeRisi, Joseph L., additional

Published
2017
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