1.The situation of child injury by injury supervision at Viet Duc hospital in 2006
Chinh Duc Nguyen ; Lap Doc Cao ; Huy Danh Luu ; Nhung Kim Nguyen ; Bich Van Nguyen ; Son Hong Trinh ; Quyet Tien Nguyen ; Tu Thi Hong Nguyen ; Lan Thi Ngoc Tran ; Trang Thi Quynh Khieu ; Anh Mai Luong
Journal of Surgery 2007;57(2):18-27
Background: According to WHO, there are 5 million deaths from kinds of injury a year in the world, of which 875000 deaths occur in children under 18 years old. Injury leads to 40000 deaths which account for 10.7% deaths due to all other causes a year in VietNam. Objective: To show conclusions of the situation of child injury, recommendations for prevention of child injury and methods in order to enhance emergency activity in Vietnam. Subjects and method: The authors collected information about all patients who had emergencies due to injury at Viet Duc hospital, from March 26th 2006 to Octorber 26th 2006. However, supervised cases were the patients under 18 years old who were examined and treated at the Department of Emergency. Results: During the period of study, 2536 patients under 18 years old were examined for injury, of which death and coming back home for death were 83 cases (3.27%). 974 children had emergency resulted from injury: male was more than female: 697 verus 227. The leading causes of child injury were fall and traffic accident, respetively 34% and 60%. The most common traumas were traumatic brain injury (45%), limbs injury (41%). Although most of cases had first aid at the hospitals in district or province level, the rate of non-first aid cases was high (34%). Conclusion: Child injury is a leading cause of child death in hospitals. Methods for prevention of child injury should focus on educating and propagandizing to minimize injuries caused by traffic accident and fall.
Wounds and Injuries
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Child
2.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.