Time from injury to hip-fracture surgery in low-income and middle-income regions: a secondary analysis of data from the International Orthopaedic Multicentre Study in Fracture Care (INORMUS).

BACKGROUND: Globally, fall-related injuries are a substantial problem, and 80% of fatal falls occur in low-income and middle-income countries. We aimed to measure time from injury to hip-fracture surgery in people aged 50 years or older living in low-income and middle-income regions, as well as to measure the proportion of patients with surgical stabilisation of their hip fracture within 72 h of admission to hospital and to identify risk factors associated with surgical delay. METHODS: For this secondary analysis, we analysed data collected from Africa, Latin America, China, India, and Asia (excluding China and India) for the International Orthopaedic Multicentre Study in Fracture Care (INORMUS) between March 29, 2014, and June 15, 2022. Patients from INORMUS were included in this analysis if they were aged 50 years or older and had an isolated, primary hip fracture sustained from a ground-level fall. Staff at participating hospitals identified patients with musculoskeletal injury and referred them for assessment of eligibility. We report time from injury to surgery as three distinct time periods: time from injury to hospital admission, time from admission to surgery, and a total time from injury to surgery. Date and time of injury were self-reported by patients at the time of study recruitment. If time to hospital admission after injury exceeded 24 h, patients reported the primary reason for delayed admission. Reasons for surgery, no surgery, and surgical delay were reported by the treating team. For patients undergoing surgery, multivariable regression analyses were used to identify risk factors for surgical delay. FINDINGS: 4486 adults aged 50 years or older with an isolated, primary hip fracture were enrolled in INORMUS from 55 hospitals in 24 countries. Countries were grouped into five regions: Africa (418 [9·3%] of 4486), Latin America (558 [12·4%]), China (1680 [37·4%]), India (1059 [23·6%]) and Asia (excluding China and India; 771 [17·2%]). Of 4486 patients, 3805 (84·8%) received surgery. The rate of surgery was similar in all regions except in Africa, where only 193 (46·3%) of 418 patients had surgery. Overall, 2791 (62·2%) of 4486 patients were admitted to hospital within 24 h of injury. However, 1019 (22·7%) of 4486 patients had delayed hospital admission of 72 h or more from injury. The two most common reasons for delayed admission of more than 24 h were transfer from another hospital (522 [36·2%] of 1441) and delayed care-seeking because patients thought the injury would heal on its own (480 [33·3%]). Once admitted to hospital, 1451 (38·1%) of 3805 patients who received surgery did so within 72 h (median 4·0 days [IQR 1·7-6·0]). Regional variation was seen in the proportion of patients receiving surgery within 72 h of hospital admission (92 [17·9%] of 514 in Latin America, 53 [27·5%] of 193 in Africa, 454 [30·9%] of 1471 in China, 318 [44·4%] of 716 in Asia [excluding China and India], and 534 [58·6%] of 911 in India). Of all 3805 patients who received operative treatment, 2353 (61·8%) waited 72 h or more from hospital admission. From time of injury, the proportion of patients who were surgically stabilised within 72 h was 889 (23·4%) of 3805 (50 [9·7%] of 517 in Latin America, 31 [16·1%] of 193 in Africa, 277 [18·8%] of 1471 in China, 189 [26·4%] of 716 in Asia [excluding China and India], and 342 [37·5%] of 911 in India). INTERPRETATION: Access to surgery within 72 h of hospital admission was poor, with factors that affected time to surgery varying by region. Data are necessary to understand existing pathways of hip-fracture care to inform the local development of quality-improvement initiatives. FUNDING: The National Health and Medical Research Council of Australia, the Canadian Institutes of Health Research, McMaster Surgical Associates, Hamilton Health Sciences, and the US National Institutes of Health

Antimicrobial Resistance Patterns of Pathogens Isolated from Patients with Wound Infection at a Teaching Hospital in Vietnam

Nguyen Van An,1,* Hoang Trung Kien,2,* Le Huy Hoang,3 Nguyen Hung Cuong,1 Hoang Xuan Quang,1 Tuan Dinh Le,4 Ta Ba Thang,5 Tien Tran Viet,6 Luong Cong Thuc,7 Dinh Viet Hung,8 Nguyen Hoang Viet,9 Le Nhat Minh,10,11 Vu Huy Luong,12,13 Vinh Thi Ha Nguyen,13,14 Pham Quynh Hoa,15 Hai Ha Long Le16,17 1Department of Microbiology, Military Hospital 103, Vietnam Military Medical University, Hanoi, Vietnam; 2Department of Immunology, Vietnam Military Medical University, Hanoi, Vietnam; 3Department of Bacteriology, National of Hygiene and Epidemiology, Hanoi, Vietnam; 4Department of Rheumatology and Endocrinology, Military Hospital 103, Vietnam Medical Military University, Hanoi, Vietnam; 5Respiratory Center, Military Hospital 103, Vietnam Military Medical University, Hanoi, Vietnam; 6Department of Infectious Diseases, Military Hospital 103, Vietnam Medical Military University, Hanoi, Vietnam; 7Cardiovascular Center, Military Hospital 103, Vietnam Military Medical University, Hanoi, Vietnam; 8Department of Psychiatry, Military Medical 103, Vietnam Military Medical University, Hanoi, Vietnam; 9Molecular Pathology Department, Faculty of Medical Technology, Hanoi Medical University, Hanoi, Vietnam; 10Antimicrobial Resistance Research Center, National Institute of Infectious Disease, NIID, Tokyo, Japan; 11Tay Nguyen Institute of Science Research, Vietnam Academy of Science and Technology, VAST, Hanoi, Vietnam; 12Department of Laser and Skincare, National Hospital of Dermatology and Venereology, Hanoi, Vietnam; 13Department of Dermatology and Venereology, Hanoi Medical University, Hanoi, Vietnam; 14Department of General Planning, National Hospital of Dermatology and Venereology, Hanoi, Vietnam; 15Department of Microbiology, Mycology and Parasitology, National Hospital of Dermatology and Venereology, Hanoi, Vietnam; 16Department of Clinical Microbiology and Parasitology, Faculty of Medical Technology, Hanoi Medical University, Hanoi, Vietnam; 17Department of Biochemistry, Hematology and Immunology, National Hospital of Dermatology and Venereology, Hanoi, Vietnam*These authors contributed equally to this workCorrespondence: Hai Ha Long Le, Department of Clinical Microbiology and Parasitology, Faculty of Medical Technology, Hanoi Medical University, Hanoi, 100000, Vietnam, Tel +84 978520055, Email [email protected]: At a teaching Hospital in Vietnam, the persistently high incidence of diagnosed wound infection poses ongoing challenges to treatment. This study seeks to explore the causative agents of wound infection and their antimicrobial and multidrug resistance patterns.Methods: A cross-sectional study was conducted at the Department of Microbiology, Military Hospital 103, Vietnam. Data on microorganisms that caused wound infection and their antimicrobial resistance patterns was recorded from hospitalized patients from 2014 to 2021. Using the chi-square test, we analyzed the initial isolation from wound infection specimens collected from individual patients.Results: Over a third (34.9%) of wound infection samples yielded bacterial cultures. Staphylococcus aureus was the most prevalent bacteria, followed by Pseudomonas aeruginosa. Worryingly high resistance rates were observed for several antibiotics, particularly among Gram-negative bacteria. Ampicillin displayed the highest resistance (91.9%), while colistin and ertapenem remained the most effective. In Gram-positive bacteria, glycopeptides like teicoplanin and vancomycin (0% and 3.3% resistance, respectively) were most effective, but their use was limited. Clindamycin and tetracycline showed decreasing effectiveness. Resistance rates differed between surgical and non-surgical wards, highlighting the complex dynamics of antimicrobial resistance within hospitals. Multidrug resistance (MDR) was substantial, with Gram-negative bacteria exhibiting a 63.6% MDR rate. Acinetobacter baumannii showed the highest MDR rate (88.0%).Conclusion: This study investigated wound infection characteristics, antibiotic resistance patterns of common bacteria, and variations by hospital ward. S. aureus was the most prevalent bacteria, and concerning resistance rates were observed, particularly among Gram-negative bacteria. These findings highlight the prevalence of multidrug resistance in wound infections, emphasizing the importance of infection control measures and judicious antibiotic use.Keywords: wound infection, multidrug resistance, antimicrobial resistance, AMR in Vietna

General and abdominal adiposity and hypertension in eight world regions: a pooled analysis of 837 population-based studies with 7•5 million participants

Background Adiposity can be measured using BMI (which is based on weight and height) as well as indices of abdominal adiposity. We examined the association between BMI and waist-to-height ratio (WHtR) within and across populations of different world regions and quantified how well these two metrics discriminate between people with and without hypertension. Methods We used data from studies carried out from 1990 to 2023 on BMI, WHtR and hypertension in people aged 20–64 years in representative samples of the general population in eight world regions. We graphically compared the regional distributions of BMI and WHtR, and calculated Pearson's correlation coefficients between BMI and WHtR within each region. We used mixed-effects linear regression to estimate the extent to which WHtR varies across regions at the same BMI. We graphically examined the prevalence of hypertension and the distribution of people who have hypertension both in relation to BMI and WHtR, and we assessed how closely BMI and WHtR discriminate between participants with and without hypertension using C-statistic and net reclassification improvement (NRI). Findings The correlation between BMI and WHtR ranged from 0·76 to 0·89 within different regions. After adjusting for age and BMI, mean WHtR was highest in south Asia for both sexes, followed by Latin America and the Caribbean and the region of central Asia, Middle East and north Africa. Mean WHtR was lowest in central and eastern Europe for both sexes, in the high-income western region for women, and in Oceania for men. Conversely, to achieve an equivalent WHtR, the BMI of the population of south Asia would need to be, on average, 2·79 kg/m2 (95% CI 2·31–3·28) lower for women and 1·28 kg/m2 (1·02–1·54) lower for men than in the high-income western region. In every region, hypertension prevalence increased with both BMI and WHtR. Models with either of these two adiposity metrics had virtually identical C-statistics and NRIs for every region and sex, with C-statistics ranging from 0·72 to 0·81 and NRIs ranging from 0·34 to 0·57 in different region and sex combinations. When both BMI and WHtR were used, performance improved only slightly compared with using either adiposity measure alone. Interpretation BMI can distinguish young and middle-aged adults with higher versus lower amounts of abdominal adiposity with moderate-to-high accuracy, and both BMI and WHtR distinguish people with or without hypertension. However, at the same BMI level, people in south Asia, Latin America and the Caribbean, and the region of central Asia, Middle East and north Africa, have higher WHtR than in the other regions. Funding UK Medical Research Council and UK Research and Innovation (Innovate UK)

Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults

Background Underweight and obesity are associated with adverse health outcomes throughout the life course. We estimated the individual and combined prevalence of underweight or thinness and obesity, and their changes, from 1990 to 2022 for adults and school-aged children and adolescents in 200 countries and territories. Methods We used data from 3663 population-based studies with 222 million participants that measured height and weight in representative samples of the general population. We used a Bayesian hierarchical model to estimate trends in the prevalence of different BMI categories, separately for adults (age ≥20 years) and school-aged children and adolescents (age 5–19 years), from 1990 to 2022 for 200 countries and territories. For adults, we report the individual and combined prevalence of underweight (BMI 2 SD above the median). Findings From 1990 to 2022, the combined prevalence of underweight and obesity in adults decreased in 11 countries (6%) for women and 17 (9%) for men with a posterior probability of at least 0·80 that the observed changes were true decreases. The combined prevalence increased in 162 countries (81%) for women and 140 countries (70%) for men with a posterior probability of at least 0·80. In 2022, the combined prevalence of underweight and obesity was highest in island nations in the Caribbean and Polynesia and Micronesia, and countries in the Middle East and north Africa. Obesity prevalence was higher than underweight with posterior probability of at least 0·80 in 177 countries (89%) for women and 145 (73%) for men in 2022, whereas the converse was true in 16 countries (8%) for women, and 39 (20%) for men. From 1990 to 2022, the combined prevalence of thinness and obesity decreased among girls in five countries (3%) and among boys in 15 countries (8%) with a posterior probability of at least 0·80, and increased among girls in 140 countries (70%) and boys in 137 countries (69%) with a posterior probability of at least 0·80. The countries with highest combined prevalence of thinness and obesity in school-aged children and adolescents in 2022 were in Polynesia and Micronesia and the Caribbean for both sexes, and Chile and Qatar for boys. Combined prevalence was also high in some countries in south Asia, such as India and Pakistan, where thinness remained prevalent despite having declined. In 2022, obesity in school-aged children and adolescents was more prevalent than thinness with a posterior probability of at least 0·80 among girls in 133 countries (67%) and boys in 125 countries (63%), whereas the converse was true in 35 countries (18%) and 42 countries (21%), respectively. In almost all countries for both adults and school-aged children and adolescents, the increases in double burden were driven by increases in obesity, and decreases in double burden by declining underweight or thinness. Interpretation The combined burden of underweight and obesity has increased in most countries, driven by an increase in obesity, while underweight and thinness remain prevalent in south Asia and parts of Africa. A healthy nutrition transition that enhances access to nutritious foods is needed to address the remaining burden of underweight while curbing and reversing the increase in obesity. Funding UK Medical Research Council, UK Research and Innovation (Research England), UK Research and Innovation (Innovate UK), and European Union