Search

The aim of this study was to provide a quantitative synthesis of the effects of randomized controlled pediatric lifestyle interventions in treating obesity among 11-17-year-old children. We conducted a systematic review and meta-analysis on the randomized controlled trials, consisting of actual exercise training and nutrition education, published between January 2000 and August 2022. The initial search yielded 2598 articles, with eight articles meeting the inclusion criteria. The articles were analyzed using a multivariate random effects model. The primary outcome variables were body mass index (BMI), standardized BMI (BMIz), and waist circumference (WC). Our analyses showed that lifestyle interventions were efficacious in improving BMI (-1.77 kg/m 2 , 95% CI [-2.70, -0.83], p < 0.001), BMIz (-0.30, 95% CI [-0.45, -0.16], p < 0.001), and WC (-3.32 cm, 95% CI [-5.35, -1.29], p < 0.001) in children with overweight and obesity. In addition, moderation analyses suggested that the efficacy of the lifestyle interventions correlated positively with participants' weight status and was enhanced when an intervention was boosted with a longer intervention duration and higher frequency. In conclusion, the current evidence suggests that lifestyle interventions are efficacious in treating children with obesity. The available evidence further indicates that duration, frequency, along weight status, were moderating the effectiveness of these lifestyle interventions., (© 2024 World Obesity Federation.)

Background: Osteoarthritis in the lower extremities becomes more common as people age. In addition to conservative treatments, hip or knee arthroplasty is often needed. The aim of this study was to evaluate total knee arthroplasty (later TKA) in patients, comparing those who had previously undergone THA (later THA/TKA), with those who had not undergone such procedure. Pain, walking ability and functional capacity were assessed., Methods: Patients who underwent primary TKA between 1987 and 2017 at a single orthopaedic hospital was included in this study. The patients participated in clinical preoperative and postoperative examinations by an orthopaedic surgeon after one- and five- years. The final study group consisted of 418 patients who had undergone 502 knee arthroplasties. Of these 502 TKA cases, 462 had not undergone previous THA and 40 had undergone previous THA. To evaluate the patients' physical function and walking ability, a structure form for knee arthroplasty based on the Hungerford score was used. The registry data from the Finnish National Institute of Health and Welfare was used. The data included TKA revision(s) and mortality events., Results: At the baseline and after one- and five- years primary TKA, no statistical differences were found in the total Hungerford score between TKA patients and THA/TKA patients. In both groups, the total score increased per surgery year. However, when analysing the relationship between the year of operation and the total score, no statistical differences were found between the groups (TKA and THA/TKA) at five years (p = 0.61). The only statistical difference found between the groups was in walking distance points after one year; THA/TKA patients (mean 83 [SD 17]) could walk remarkably shorter distances than TKA patients (91 [14]) one year after arthroplasty (p < 0.001)., Conclusions: In conclusion, walking distance improved more rapidly in TKA patients than in THA/TKA patients. However, patients who underwent more than one arthroplasty in their lower extremities managed their lives, activities, and pain almost as well as those who underwent only one knee arthroplasty., (© 2024. The Author(s).)

Removal of dissolved zinc (Zn) from water by a novel alkali-activated material (AAM) prepared from steel industry slags in a fixed-bed column was investigated. Design of experiments was used to find the optimum operation parameters [flow rate ( Q ) , adsorbent mass, ( m ads ), and initial Zn concentration ( C 0 )] for the removal of Zn 2+ from a ZnCl 2 solution. Regression models for the breakthrough ( q b ), and saturation ( q sat ) capacities of the bed and three other response parameters as functions of Q , m ads and C 0 were fitted with coefficients of determination ( R 2 ) ranging from 0.48 to 0.99. Experimental values of q b and q sat varied within 1.42-7.03 mg Zn/g and 10.57-17.25 mg Zn/g, respectively. The optimum operation parameters were determined to be Q = 1.64 ml/min and m ads = 4.5 g, whereas C 0 had negligible effect on the response parameters in the range 73-107 mg Zn/l. Finally, three empirical breakthrough curve (BTC) models were employed to describe the individual BTCs of which the modified dose - response model was found to give the best fit (0.960 ≤ R 2 ≤ 0.998). The results of the present work demonstrate that the novel AAM has considerable potential to be utilized in water purification applications.

Background: Motor competence is the ability to perform goal directed human movements in a co-ordinated, accurate and error free manner. The aim of this study was to compare the accuracy of coaches' perceptions of children's motor competence with their actual motor competence., Method: This study examined the motor competence of children with intellectual disabilities (n = 100) and coaches' perceptions of children's motor competence (n = 10). Participants were assessed using TGMD-3. Coaches completed an adapted version of the pictorial scale of Perceived Movement Skill Competence., Results: The predictive power of coaches perceived motor competence versus children's actual motor competence was assessed., Conclusions: This research will provide insight for sports organisations to determine whether coaches can accurately report on the motor competence of children with intellectual disabilities., (© 2024 The Authors. Journal of Applied Research in Intellectual Disabilities published by John Wiley & Sons Ltd.)

Acute myeloid leukemia (AML), a heterogeneous and aggressive blood cancer, does not respond well to single-drug therapy. A combination of drugs is required to effectively treat this disease. Computational models are critical for combination therapy discovery due to the tens of thousands of two-drug combinations, even with approved drugs. While predicting synergistic drugs is the focus of current methods, few consider drug efficacy and potential toxicity, which are crucial for treatment success. To find effective new drug candidates, we constructed a bipartite network using patient-derived tumor samples and drugs. The network is based on drug-response screening and summarizes all treatment response heterogeneity as drug response weights. This bipartite network is then projected onto the drug part, resulting in the drug similarity network. Distinct drug clusters were identified using community detection methods, each targeting different biological processes and pathways as revealed by enrichment and pathway analysis of the drugs' protein targets. Four drugs with the highest efficacy and lowest toxicity from each cluster were selected and tested for drug sensitivity using cell viability assays on various samples. Results show that ruxolitinib-ulixertinib and sapanisertib-LY3009120 are the most effective combinations with the least toxicity and the best synergistic effect on blast cells. These findings lay the foundation for personalized and successful AML therapies, ultimately leading to the development of drug combinations that can be used alongside standard first-line AML treatment., (© 2024. The Author(s).)

Introduction: Increased fetal heart rate variability (IFHRV), defined as fetal heart rate (FHR) baseline amplitude changes of &gt;25 beats per minute with a duration of ≥1 min, is an early sign of intrapartum fetal hypoxia. This study evaluated the level of agreement of machine learning (ML) algorithms-based recognition of IFHRV patterns with expert analysis., Methods: Cardiotocographic recordings and cardiotocograms from 4,988 singleton term childbirths were evaluated independently by two expert obstetricians blinded to the outcomes. Continuous FHR monitoring with computer vision analysis was compared with visual analysis by the expert obstetricians. FHR signals were graphically processed and measured by the computer vision model labeled SALKA., Results: In visual analysis, IFHRV pattern occurred in 582 cardiotocograms (11.7%). Compared with visual analysis, SALKA recognized IFHRV patterns with an average Cohen's kappa coefficient of 0.981 (95% CI: 0.972-0.993). The sensitivity of SALKA was 0.981, the positive predictive rate was 0.822 (95% CI: 0.774-0.903), and the false-negative rate was 0.01 (95% CI: 0.00-0.02). The agreement between visual analysis and SALKA in identification of IFHRV was almost perfect (0.993) in cases (N = 146) with neonatal acidemia (i.e., umbilical artery pH &lt;7.10)., Conclusions: Computer vision analysis by SALKA is a novel ML technique that, with high sensitivity and specificity, identifies IFHRV features in intrapartum cardiotocograms. SALKA recognizes potential early signs of fetal distress close to those of expert obstetricians, particularly in cases of neonatal acidemia., (© 2024 S. Karger AG, Basel.)

Most patients with advanced malignancies are treated with severely toxic, first-line chemotherapies. Personalized treatment strategies have led to improved patient outcomes and could replace one-size-fits-all therapies, yet they need to be tailored by testing of a range of targeted drugs in primary patient cells. Most functional precision medicine studies use simple drug-response metrics, which cannot quantify the selective effects of drugs (i.e., the differential responses of cancer cells and normal cells). We developed a computational method for selective drug-sensitivity scoring (DSS), which enables normalization of the individual patient's responses against normal cell responses. The selective response scoring uses the inhibition of noncancerous cells as a proxy for potential drug toxicity, which can in turn be used to identify effective and safer treatment options. Here, we explain how to apply the selective DSS calculation for guiding precision medicine in patients with leukemia treated across three cancer centers in Europe and the USA; the generic methods are also widely applicable to other malignancies that are amenable to drug testing. The open-source and extendable R-codes provide a robust means to tailor personalized treatment strategies on the basis of increasingly available ex vivo drug-testing data from patients in real-world and clinical trial settings. We also make available drug-response profiles to 527 anticancer compounds tested in 10 healthy bone marrow samples as reference data for selective scoring and de-prioritization of drugs that show broadly toxic effects. The procedure takes <60 min and requires basic skills in R., (© 2023. Springer Nature Limited.)