Prevalence of low bone mineral density at axial sites and fracture risk in Bulgarian population

Kirilova, Elena; Kirilov, Nikola; Bischoff, Fabian; Vladeva, Stoyanka; Nikolov, Nikolay; Nikolov, M.; Batalov, Z; Batalov, Anastas; Kinov, Plamen; Kovachev, Vihar; Kovachev, Mancho; Todorov, Svilen

doi:10.52965/001c.57622

Cited by 3 publications

(8 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Further, some studies showed that older people in the United States had a lower femoral neck bone mass density in the 2005-2006 period than in 1988-1994, indicating that they were at high risk for hip fractures [38]. A recent study in Bulgaria reported similar results [39]. In addition, some authors suggested that changes in trends correlated with changes in environmental and/or intrinsic factors, such as poverty, ethnicity, rurality, changes in body mass index, osteoporosis medication, the plasma level of vitamin D, sun exposure, calcium intake, nutritional status, and physical activity [5,[22][23][24].…”

Section: Discussionmentioning

confidence: 84%

Epidemiology of Hip Fractures Due to Falls

Ilic,

Ristic,

Stojadinovic

et al. 2023

Medicina

View full text Add to dashboard Cite

Background and Objectives: The epidemiological pattern of the hip fracture burden attributable to falls in Central European countries is still insufficiently known. The aim of this study was to assess the regional and national trends of hip fractures due to falls in Central Europe from 1990 to 2019. Materials and Methods: Using the Global Burden of Disease (GBD) 2019 study, this descriptive epidemiological study presents trends in incidence of and Years Lived with Disability (YLDs) from hip fractures due to falls in the region of Central Europe. All estimates (age- and sex-specific rates, and age-standardized rates) were expressed per 100,000. A joinpoint regression analysis was used to assess trends: the average annual percent change (AAPC) with a corresponding 95% confidence interval (95% CI) was calculated. Results: Among all new cases of hip fracture in the population as a whole in Central Europe in 2019, 3.9% in males and 7.0% in females were attributable to falls, while the share of hip fractures due to falls in the population aged 70 and over was 16.9% in males and 20.0% in females. About 400,000 new cases of hip fracture due to falls occurred in the Central European region in 2019 (220,000 among males and 160,000 among females), resulting in 55,000 YLDs (32,000 in females and 22,000 in males). About one-third of all new cases (59,326 in males and 72,790 in females) and YLDs (8585 in males, and 10,622 in females) of hip fractures due to falls were recorded in Poland. From 1990 to 2019, the age-standardized incidence rates of hip fracture due to falls showed a decreasing tendency in females (AAPC = −1.1%), and an increasing tendency in males (AAPC = 0.1%). Both in males and females, YLDs rates of hip fracture due to falls in the Central European region decreased (AAPC = −1.6% and AAPC = −2.4%, respectively). Conclusions: Hip fracture due to falls represents an important health issue in the Central European region, although incidences and YLDs declined in the most recent decades. However, further efforts to reduce the burden of hip fractures attributed to falls are needed.

show abstract

Section: Discussionmentioning

confidence: 84%

Epidemiology of Hip Fractures Due to Falls

Ilic,

Ristic,

Stojadinovic

et al. 2023

Medicina

View full text Add to dashboard Cite

show abstract

“…Different surveys and interviews are done to analyze the main causing factors which can only be done with the help of patients and their medical history. According to Kirilova et al, 4 the most recommended and reliable way to assess osteoporosis is the analysis of bone mineral density with dual‐energy x‐ray absorptiometry. This is a cost‐effective and moderate method but it involves an adequate amount of radiation exposure.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Osteoporosis is often neglected or slightly considered around the globe but this disease has a great negative impact on the health of humans because it can cause disability and in severe cases, it can also cause mortality. 3 Mostly in older people, this bone disease is increasing rapidly 4 but there are no necessary preventive measures are taken which is causing higher rates of bone fractures and other vertebral diseases. The expansion rate of osteoporosis 4 and causing fractures is increasing in more than 50‐year‐old individuals.…”

Section: Introductionmentioning

confidence: 99%

“… 3 Mostly in older people, this bone disease is increasing rapidly 4 but there are no necessary preventive measures are taken which is causing higher rates of bone fractures and other vertebral diseases. The expansion rate of osteoporosis 4 and causing fractures is increasing in more than 50‐year‐old individuals. Proper medication, precautionary measures, and maintenance of proper lifestyle can effectively reduce osteoporotic fractures, 5 , 6 many surveys and research have shown a ratio of 66% reduction rate in these osteoporotic patients, so timely detection of these issues can prevent other serious bone problems.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Machine learning‐based prediction of osteoporosis in postmenopausal women with clinical examined features: A quantitative clinical study

Ullah,

Rehman,

Anwar

et al. 2023

Health Science Reports

View full text Add to dashboard Cite

Osteoporosis is a skeletal disease that is commonly seen in older people but often neglected due to its silent nature. To overcome the issue of osteoporosis in men and women, we proposed an advanced prediction model with the help of machine learning techniques which can help to identify the potential occurrence of this bone disease by its advanced screening tools. To achieve more reliable and accurate results, various machine‐learning techniques were applied to the presented data sets. Moreover, we also compared the performance of our results with other existing algorithms to solely focus on the advanced features of the proposed methodology. The two data sets, the clinical tests of patients in Taiwan and medical reports of postmenopausal women in Korea through Korean Health and Nutrition Examination Surveys (2010–2011) were considered in this study. To predict bone disorders, we utilized the data about females and developed a system using artificial neural networks, support vector machines, and K‐nearest neighbor. To compare the performance of the model Area under the Receiver Operating Characteristic Curve and other evaluation metrics were compared. The achieved results from all the algorithms and compared them with Osteoporosis Self‐Assessment Tool for Asians and the results were noticeably better and more reliable than existing systems due to the involvement of ML. Using machine learning techniques to predict these types of diseases is better because physicians and patients can take early action to prevent the consequences in advance.

show abstract

“…This may be explained by the immobilization and the poor quality of life of patients with accompanying pHOA. (c) BMD population trials in Bulgaria among women [42] and men [43]. For women above 50 years of age, the results showed osteoporosis in 16.8%, osteopenia in 45.5%, and normal BMD in 37.7% [42].…”

mentioning

confidence: 99%

Endophenotypes of Primary Osteoarthritis of the Hip Joint in the Bulgarian Population over 60 Years Old

Sapundzhiev,

Sapundzhieva,

Klinkanov

et al. 2024

Life

Self Cite

View full text Add to dashboard Cite

Aim. To identify subgroups of patients with primary osteoarthritis of the hip joint (pHOA) with similar imaging and laboratory findings, disease evolution, and response to conventional therapies. Methods. We performed further statistical analyses on patient data from two published, double-blind, randomized, and placebo-controlled studies (DB-RCTs), which examined the effects of intra-articular corticosteroids (ia-CSs), hyaluronic acid (ia-HA)—KИ-109-3-0008/14.01.2014, and intravenous bisphosphonates (iv-BPs) -KИ- 109-3-0009/14.01.2014 compared to the country’s standard pHOA therapy. The data span an 8-year follow-up of 700 patients with pHOA, including: 1. Clinical parameters (WOMAC-A, B, C, and T; PtGA). 2. Laboratory markers (serum calcium and phosphate levels; 25-OH-D and PTH, markers for bone sCTX-I and cartilage uCTX-II turnover). 3. Radiological indicators: X-ray stage (Kellgren-Lawrence (K/L) and model (Bombelli/OOARSI), width (mJSW), speed (JSN mm/year), and zone of maximum narrowing of the joint space (max-JSN)—determining the type of femoral head migration (FHM). 4. DXA indicators: bone geometry (HAL; NSA; and MNW); changes in regional and total bone mineral density (TH-BMD, LS-BMD, and TB-BMD). 5. Therapeutic responses (OARSI/MCII; mJSW; JSNmm/yearly) to different drug regimens (iv-BP -zoledronic acid (ZA/-5 mg/yearly for 3 years)); ia-CS 40 mg methylprednisolone acetate, twice every 6 months; and ia-HA with intermediate molecular weight (20 mg/2 mL × 3 weekly applications, two courses every 6 months) were compared to standard of care therapy (Standard of Care/SC/), namely D3-supplementation according to serum levels (20–120 ng/mL; target level of 60 ng/mL), simple analgesics (paracetamol, up to 2.0 g/24 h), and physical exercises. The abovementioned data were integrated into a non-supervised hierarchical agglomerative clustering analysis (NHACA) using Ward’s linkage method and the squared Euclidean distance to identify different endophenotypes (EFs). Univariate and multivariate multinomial logistic regression analyses were performed to determine the impact of sex and FHM on clinical and radiographic regression of pHOA. Results. A baseline cluster analysis using incoming (M0) patient data identified three EFs: hypertrophic H-HOA, atrophic A-HOA, and intermediate I-HOA. These EFs had characteristics that were similar to those of patients grouped by radiographic stage and pattern (‘H’-RPs, ‘I’-RPs, and ‘A’-RPs), p < 0.05). The repeated cluster analysis of M36 data identified four EF pHOAs: 1. Hypertrophic (slow progressors, the influence of the type of femoral head migration (FHM) outweighing the influence of sex on progression), progressing to planned total hip replacement (THR) within 5 (K/LIII) to 10 (K/LII) years. 2. Intermediate (sex is more important than the FHM type for progression) with two subgroups: 2#: male-associated (slow progressors), THR within 4 (K/LIII) to 8 years. (K/LII). 2* Female-associated (rapid progressors), THR within 3 (K/LIII) to 5 (K/LII) years. 3. Atrophic (rapid progressors; the influence of FHM type outweighs that of sex), THR within 2 (K/LIII) to 4 (K/LII) years. Each EF, in addition to the patient’s individual progression rate, was also associated with a different response to the aforementioned therapies. Conclusions. Clinical endophenotyping provides guidance for a personalized approach in patients with pHOA, simultaneously assisting the creation of homogeneous patient groups necessary for conducting modern genetic and therapeutic scientific studies.

show abstract

Prevalence of low bone mineral density at axial sites and fracture risk in Bulgarian population

Cited by 3 publications

References 26 publications

Epidemiology of Hip Fractures Due to Falls

Epidemiology of Hip Fractures Due to Falls

Machine learning‐based prediction of osteoporosis in postmenopausal women with clinical examined features: A quantitative clinical study

Endophenotypes of Primary Osteoarthritis of the Hip Joint in the Bulgarian Population over 60 Years Old

Contact Info

Product

Resources

About