Dengue viremia kinetics and effects on platelet count and clinical outcomes: An analysis of 2340 patients from Vietnam

Autor: Nguyen Lam Vuong, Nguyen Than Ha Quyen, Nguyen Thi Hanh Tien, Kien Duong Thi Hue, Huynh Thi Le Duyen, Phung Khanh Lam, Dong Thi Hoai Tam, Tran Van Ngoc, Thomas Jaenisch, Cameron P Simmons, Sophie Yacoub, Bridget A Wills, Ronald Geskus

Publikováno v: eLife, Vol 13 (2024)

Background: Viremia is a critical factor in understanding the pathogenesis of dengue infection, but limited data exist on viremia kinetics. This study aimed to investigate the kinetics of viremia and its effects on subsequent platelet count, severe d

Externí odkaz: https://doaj.org/article/71169484fc9143f99ecd04ae600ee09c

The seroincidence of childhood Shigella sonnei infection in Ho Chi Minh City, Vietnam.

Autor: Nick K Jones, Trang Nguyen Hoang Thu, Ruklanthi de Alwis, Corinne Thompson, Ha Thanh Tuyen, Tran Do Hoang Nhu, Voong Vinh Phat, Pham Duc Trung, Phung Khanh Lam, Bui Thi Thuy Tien, Hoang Thi Diem Tuyet, Lu Lan Vi, Nguyen Van Vinh Chau, Nhi Le Thi Quynh, Stephen Baker

Publikováno v: PLoS Neglected Tropical Diseases, Vol 17, Iss 10, p e0011728 (2023)

BackgroundShigella sonnei is a pathogen of growing global importance as a cause of diarrhoeal illness in childhood, particularly in transitional low-middle income countries (LMICs). Here, we sought to determine the incidence of childhood exposure to

Externí odkaz: https://doaj.org/article/3a6087f88d0047f0849e649954227dbd

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Direct Medical Costs of Tetanus, Dengue, and Sepsis Patients in an Intensive Care Unit in Vietnam

Autor: Trinh Manh Hung, Nguyen Van Hao, Lam Minh Yen, Angela McBride, Vu Quoc Dat, H. Rogier van Doorn, Huynh Thi Loan, Nguyen Thanh Phong, Martin J. Llewelyn, Behzad Nadjm, Sophie Yacoub, C. Louise Thwaites, Sayem Ahmed, Nguyen Van Vinh Chau, Hugo C. Turner, The Vietnam ICU Translational Applications Laboratory (VITAL) Investigators, Dang Phuong Thao, Dang Trung Kien, Doan Bui Xuan Thy, Dong Huu Khanh Trinh, Du Hong Duc, Ronald Geskus, Ho Bich Hai, Ho Quang Chanh, Ho Van Hien, Huynh Trung Trieu, Evelyne Kestelyn, Le Dinh Van Khoa, Le Thanh Phuong, Luu Hoai Bao Tran, Luu Phuoc An, Angela Mcbride, Nguyen Lam Vuong, Nguyen Quang Huy, Nguyen Than Ha Quyen, Nguyen Thanh Ngoc, Nguyen Thi Giang, Nguyen Thi Le Thanh, Nguyen Thi Phuong Dung, Nguyen Thi Phuong Thao, Ninh Thi Thanh Van, Phan Nguyen Quoc Khanh, Phung Khanh Lam, Phung Tran Huy Nhat, Guy Thwaites, Tran Minh Duc, Jennifer Ilo Van Nuil, Vu Ngo Thanh Huyen, Cao Thi Tam, Duong Bich Thuy, Ha Thi Hai Duong, Ho Dang Trung Nghia, Le Buu Chau, Le Mau Toan, Le Ngoc Minh Thu, Le Thi Mai Thao, Luong Thi Hue Tai, Nguyen Hoan Phu, Nguyen Quoc Viet, Nguyen Thanh Nguyen, Nguyen Thi Kim Anh, Nguyen Van Thanh Duoc, Pham Kieu Nguyet Oanh, Phan Thi Hong Van, Phan Tu Qui, Phan Vinh Tho, Truong Thi Phuong Thao, Natasha Ali, David Clifton, Mike English, Shadi Ghiasi, Heloise Greeff, Jannis Hagenah, Ping Lu, Jacob McKnight, Chris Paton, Pantelis Georgiou, Bernard Hernandez Perez, Kerri Hill-Cawthorne, Alison Holmes, Stefan Karolcik, Damien Ming, Nicolas Moser, Liane Canas, Alberto Gomez, Hamideh Kerdegari, Marc Modat, Reza Razavi, Linda Denehy, Luigi Pisani, Marcus Schultz

Publikováno v: Frontiers in Public Health, Vol 10 (2022)

BackgroundCritically ill patients often require complex clinical care by highly trained staff within a specialized intensive care unit (ICU) with advanced equipment. There are currently limited data on the costs of critical care in low-and middle-inc

Externí odkaz: https://doaj.org/article/f7077071376a4b659d7c43626ab987a1

Applied machine learning for the risk-stratification and clinical decision support of hospitalised patients with dengue in Vietnam.

Autor: Damien K Ming, Bernard Hernandez, Sorawat Sangkaew, Nguyen Lam Vuong, Phung Khanh Lam, Nguyen Minh Nguyet, Dong Thi Hoai Tam, Dinh The Trung, Nguyen Thi Hanh Tien, Nguyen Minh Tuan, Nguyen Van Vinh Chau, Cao Thi Tam, Ho Quang Chanh, Huynh Trung Trieu, Cameron P Simmons, Bridget Wills, Pantelis Georgiou, Alison H Holmes, Sophie Yacoub, Vietnam ICU Translational Applications Laboratory (VITAL) investigators

Publikováno v: PLOS Digital Health, Vol 1, Iss 1, p e0000005 (2022)

BackgroundIdentifying patients at risk of dengue shock syndrome (DSS) is vital for effective healthcare delivery. This can be challenging in endemic settings because of high caseloads and limited resources. Machine learning models trained using clini

Externí odkaz: https://doaj.org/article/baf8220fecff40a8888cec9897258431