1.Report on Japan-Vietnam collaboration in nosocomial infection control at Bach Mai Hospital, Hanoi from 2000 to 2006
Hiroshi Ohara ; Nguyen Viet Hung ; Truong Anh Thu ; Tran Quy
Tropical Medicine and Health 2007;35(3):253-259
Since 2000, the authors have been conducting technical cooperation on nosocomial infection control at Bach Mai Hospital (BMH) in Vietnam, which is the first trial in the country. The main contents include: (1) Consolidation of the bases of nosocomial infection control at BMH, which include setting up the appropriate control system and providing training for hospital staff, (2) Cooperation in the SARS outbreak, (3) Fact-finding survey on nosocomial infection, and (4) Preparation against avian influenza at hospitals. As a result of these activities, nosocomial infection control at BMH has been enhanced and the staff is providing technical guidance to other hospitals in recent years with the aim to disseminate skills and knowledge widely in Vietnam. The questionnaire survey on preparedness against SARS, including awareness among staff, training situation, infection control system in hospital, etc., showed comparatively good results in Vietnamese hospitals. The present paper summarizes the collaboration on nosocomial infection control between Vietnam and Japan.
Nosocomial infection control is considered essential to upgrade the quality of medical care. Also, constant efforts to upgrade the skills and knowledge of medical staff and to set up an efficient infection control system will be useful in dealing with the potential risk of resurgence of SARS or human influenza pandemic. Nosocomial infection control is one of the most appropriate subjects for technical cooperation at hospitals in developing countries.
2.Viral load suppression and acquired HIV drug resistance in adults receiving antiretroviral therapy in Viet Nam: results from a nationally representative survey
Vu Quoc Dat ; Bui Duc Duong ; Do Thi Nhan ; Nguyen Huu Hai ; Nguyen Thi Lan Anh ; Huynh Hoang Khanh Thu ; Tran Ton ; Luong Que Anh ; Nguyen Tuan Nghia ; Nguyen Vu Thuong ; Khuu Van Nghia ; Tran Thi Minh Tam ; Tran Phuc Hau ; Nguyen Duy Phuc ; Vu Xuan Thinh ; Nguyen Tran Hien ; Truong Thi Xuan Lien ; Silvia Bertagnolio ; Nguyen Thi Thuy Van ; Masaya Kato
Western Pacific Surveillance and Response 2018;9(3):16-24
Objective:
The purpose of this survey was to estimate the prevalence of viral load (VL) suppression and emergence of HIV drug resistance (HIVDR) among individuals receiving antiretroviral therapy (ART) for 36 months or longer in Viet Nam using a nationally representative sampling method.
Methods:
The survey was conducted between May and August 2014 using a two-stage cluster design. Sixteen ART clinics were selected using probability proportional to proxy size sampling, and patients receiving ART for at least 36 months were consecutively enrolled. Epidemiological information and blood specimens were collected for HIV-1 VL and HIVDR testing; HIVDR was defined by the Stanford University HIVDR algorithm.
Results:
Overall, 365 eligible individuals were recruited with a mean age of 38.2 years; 68.4% were men. The mean time on ART was 75.5 months (95% confidence interval [CI]: 69.0–81.9 months), and 93.7% of the patients were receiving non-nucleoside reverse transcriptase inhibitor-based regimens. Of the 365 individuals, 345 (94.7%, 95% CI: 64.1–99.4%) had VL below 1000 copies/mL and 19 (4.6%, 95% CI: 2.8-–7.5) had HIVDR mutations.
Discussion
Our nationally representative survey found a high level of VL suppression and a low prevalence of HIVDR among individuals who received ART for at least 36 months in Viet Nam. Continued surveillance for HIVDR is important for evaluating and improving HIV programs.
3.Active case finding to detect symptomatic and subclinical pulmonary tuberculosis disease: implementation of computer-aided detection for chest radiography in Viet Nam
Anh L Innes ; Andres Martinez ; Gia Linh Hoang ; Thi Bich Phuong Nguyen ; Viet Hien Vu ; Tuan Ho Thanh Luu ; Thi Thu Trang Le ; Victoria Lebrun ; Van Chinh Trieu ; Nghi Do Bao Tran ; Nhi Dinh ; Huy Minh Pham ; Van Luong Dinh ; Binh Hoa Nguyen ; Thi Thanh Huyen Truong ; Van Cu Nguyen ; Viet Nhung Nguyen ; Thu Hien Mai
Western Pacific Surveillance and Response 2024;15(4):14-25
Objective: In Viet Nam, tuberculosis (TB) prevalence surveys revealed that approximately 98% of individuals with pulmonary TB have TB-presumptive abnormalities on chest radiographs, while 32% have no TB symptoms. This prompted the adoption of the “Double X” strategy, which combines chest radiographs and computer-aided detection with GeneXpert testing to screen for and diagnose TB among vulnerable populations. The aim of this study was to describe demographic, clinical and radiographic characteristics of symptomatic and asymptomatic Double X participants and to assess multilabel radiographic abnormalities on chest radiographs, interpreted by computer-aided detection software, as a possible tool for detecting TB-presumptive abnormalities, particularly for subclinical TB.
Methods: Double X participants with TB-presumptive chest radiographs and/or TB symptoms and known risks were referred for confirmatory GeneXpert testing. The demographic and clinical characteristics of all Double X participants and the subset with confirmed TB were summarized. Univariate and multivariable logistic regression modelling was used to evaluate associations between participant characteristics and subclinical TB and between computer-aided detection multilabel radiographic abnormalities and TB.
Results: From 2020 to 2022, 96 631 participants received chest radiographs, with 67 881 (70.2%) reporting no TB symptoms. Among 1144 individuals with Xpert-confirmed TB, 51.0% were subclinical. Subclinical TB prevalence was higher in older age groups, non-smokers, those previously treated for TB and the northern region. Among 11 computer-aided detection multilabel radiographic abnormalities, fibrosis was associated with higher odds of subclinical TB.
Discussion: In Viet Nam, Double X community case finding detected pulmonary TB, including subclinical TB. Computer-aided detection software may have the potential to identify subclinical TB on chest radiographs by classifying multilabel radiographic abnormalities, but further research is needed.