Search Results (1,058)

Background/Objectives: Chronic cervical myofascial pain syndrome (CMPS) is often diagnosed in the current population by doctors of various specialties. One method of treating spinal pathology is mesotherapy. The purpose of this study is to evaluate the efficacy and safety of collagen mesotherapy, as well as to assess the frequency of pain medication after mesotherapy in chronic CMPS. Methods: Patients were diagnosed and treated by an orthopedist in three different offices between 1 January 2018 and 31 December 2024. The patients were diagnosed with chronic CMPS. Patients were qualified for cervical spine mesotherapy, which was performed weekly, in five repetitions. Retrospectively, based on medical records and in accordance with inclusion and exclusion criteria, two groups were created: group I (n = 65) with injectable type I collagen and group II (n = 65) with 1% lignocaine. Patients were evaluated using the VAS and Laitinen scale before the start of therapy, 1 week after the end of therapy, and at 3-month follow-up. In addition, the frequency of taking analgesic medications after mesotherapy was assessed. Results: After mesotherapy of the cervical spine with both injectable collagen type I and lignocaine 1%, statistically significant improvements were observed in terms of a decrease in pain on the scales used (p < 0.001), as well as a decrease in analgesic medication intake (p < 0.001). Collagen treatment yielded better results after 3 months of follow-up. No mesotherapy-related side effects were observed during the treatment or follow-up periods. Conclusions: Cervical spine mesotherapy using injectable type I collagen and lignocaine 1% is an effective and safe method for chronic CMPS. At a 3-month follow-up, injectable type I collagen appears to be more effective. After mesotherapy and at the 3-month follow-up, both groups reported less pain medication intake compared to before the intervention. Full article

Introduction/Objective: Post-bariatric surgery patients require long-term, coordinated care to address complex nutritional, physiological, and behavioral challenges. Personalized smart nutrition, combining individualized dietary strategies with targeted monitoring, has emerged as a valuable direction for optimizing recovery and long-term outcomes. This article examines how traditional medical protocols can be enhanced by digital solutions in a multidisciplinary framework. Methods: The study analyzes current clinical practices, including personalized meal planning, physical rehabilitation, biochemical marker monitoring, and psychological counseling, as applied in post-bariatric care. These established approaches are then analyzed in relation to the NutriMonitCare system, a digital health system developed and tested in a laboratory environment. Used here as an illustrative example, the NutriMonitCare system demonstrates the potential of digital tools to support clinicians through real-time monitoring of dietary intake, activity levels, and physiological parameters. Results: Findings emphasize that medical protocols remain the cornerstone of post-surgical management, while digital tools may provide added value by enhancing data availability, supporting individualized decision making, and reinforcing patient adherence. Systems like the NutriMonitCare system could be integrated into interdisciplinary care models to refine nutrition-focused interventions and improve communication across care teams. However, their clinical utility remains theoretical at this stage and requires further validation. Conclusions: In conclusion, the integration of digital health tools with conventional post-operative care has the potential to advance personalized smart nutrition. Future research should focus on clinical evaluation, real-world testing, and ethical implementation of such technologies into established medical workflows to ensure both efficacy and patient safety. Full article

Background: Neonatal jaundice is common and can cause severe hyperbilirubinemia if untreated. The early identification of at-risk newborns is challenging despite the existing guidelines. Objective: This study aimed to identify the key maternal and neonatal risk factors for jaundice requiring phototherapy using machine learning. Methods: In this study hospital, phototherapy was administered following the American Academy of Pediatrics (AAP) guidelines when a neonate’s transcutaneous bilirubin level was in the high-risk zone. To identify the risk factors for phototherapy, we retrospectively analyzed the electronic medical records of 8242 neonates admitted between 2017 and 2022. Predictive models were trained using maternal and neonatal data. XGBoost showed the best performance (AUROC = 0.911). SHAP values interpreted the model. Results: Mode of delivery, neonatal feeding indicators (including daily formula intake and breastfeeding frequency), maternal BMI, and maternal white blood cell count were strong predictors. Cesarean delivery and lower birth weight were linked to treatment need. Conclusions: Machine learning models using perinatal data accurately predict the risk of neonatal jaundice requiring phototherapy, potentially aiding early clinical decisions and improving outcomes. Full article

Cardiorenal syndrome (CRS) is a multifactorial clinical condition characterized by the bidirectional deterioration of cardiac and renal function, driven by mechanisms such as renin–angiotensin–aldosterone system (RAAS) overactivation, systemic inflammation, oxidative stress, endothelial dysfunction, and fibrosis. The aim of this narrative review is to explore the key molecular pathways involved in CRS and to highlight emerging therapeutic approaches, with a special emphasis on nutritional interventions. We examined recent evidence on the contribution of mitochondrial dysfunction, uremic toxins, and immune activation to CRS progression and assessed the role of dietary and micronutrient factors. Results indicate that a high dietary intake of sodium, phosphorus additives, and processed foods is associated with volume overload, vascular damage, and inflammation, whereas deficiencies in potassium, magnesium, and vitamin D correlate with worse clinical outcomes. Anti-inflammatory and antioxidant bioactives, such as omega-3 PUFAs, curcumin, and anthocyanins from maqui, demonstrate potential to modulate key CRS mechanisms, including the nuclear factor kappa B (NF-κB) pathway and the NLRP3 inflammasome. Gene therapy approaches targeting endothelial nitric oxide synthase (eNOS) and transforming growth factor-beta (TGF-β) signaling are also discussed. An integrative approach combining pharmacological RAAS modulation with personalized medical nutrition therapy and anti-inflammatory nutrients may offer a promising strategy to prevent or delay CRS progression and improve patient outcomes. Full article

Introduction: Medication adherence is essential for treatment and recovery following hematopoietic stem cell transplantation (HSCT). However, limited data exist on the most effective methods to measure adherence and the factors influencing it in HSCT patients. Materials and Methods: A prospective longitudinal study assessed immunosuppressant medication adherence in 150 patients with hematologic malignancies undergoing allogeneic HSCT. Adherence was assessed using pill counts, immunosuppressant medication levels, patient-reported medication logs, and the Medication Adherence Response Scale-5 (MARS-5) at 30, 100, and 180 days post-HSCT. We evaluated adherence rates, agreement between methods, and sociodemographic and clinical predictors. From patient-reported logs, we calculated dose adherence (comparing reported doses to expected doses) and timing adherence (comparing medication intake within ±3 h of the prescribed time). Kappa analysis assessed agreement among methods. Results: Of 190 eligible patients, 150 (78.9%) enrolled. The mean age was 57.5 years (SD = 13.5); 41.3% (n = 62) were female, 85.3% (n = 128) were non-Hispanic White, and 73.3% (n = 110) were married or living with a partner. Medication adherence varied across the three timepoints and by measurement type: 52–64% (pill counts), 18–24% (medication levels), 96–98% (medication log dose adherence), 83–84% (medication log timing adherence), and 97–98% (MARS−5). There was minimal agreement between measures (Kappa range: 0.008–0.12). Conclusions: Despite the feasibility of leveraging objective and patient-reported measures to assess medication adherence in HSCT patients, there was little agreement between these measures. Patient-reported measures showed high adherence, while objective measures like pill counts and medication levels revealed more modest adherence. The complexity of medication regimens likely contributes to this discrepancy. A rigorous approach to understanding medication adherence in the HSCT population may entail both objective and subjective measures of medication adherence. Full article

As veganism becomes more popular, the number of vegan pregnant women and children is steadily increasing. During vegan pregnancy and early childhood, there is a high risk for nutrient deficiencies that may impair child development. External factors, such as healthcare advice, social networks, and social environments, that affect the diet of vegan pregnant women, parents, and their children, as well as their approach towards dietary supplementation, have not yet been investigated. Various sources of information, combined with a lack of expertise, sparse food and nutritional health literacy, and qualitatively heterogeneous information provision by medical experts, unsettle vegan pregnant women and parents and affect their dietary choices and potentially the health of their children. The VedieS study aims to investigate potential connections between external influences and associated impacts on a vegan diet and the intake of dietary supplements (DS) of pregnant women and children. Two surveys are being conducted within the study: one targeting 1000 vegan pregnant women and parents, and another targeting 60 experts in each of five healthcare groups: gynecologists, pediatricians, general practitioners, pharmacists, and dietitians. This study is the first to examine how socio-economic, social, and further informational factors influence dietary practices during vegan pregnancy and childhood. It highlights the need for reliable, expert-led guidance, as current information sources are often inconsistent and may put these vulnerable groups at risk. Full article

Aims/Background: Polypharmacy, or the concurrent intake of five or more medications, is a significant issue in clinical practice, particularly in multimorbid elderly individuals. Despite its importance for patient safety, medical education often lacks systematic training in recognising and managing polypharmacy within the framework of patient-centred care. We investigated the impact of a structured learning intervention introducing polypharmacy as a chronic condition, assessing whether it enhances medical students’ diagnostic competence, confidence, and interprofessional collaboration. Methods: A prospective cohort study was conducted with 50 final-year medical students who received a three-phase educational intervention. Phase 1 was interactive workshops on the principles of polypharmacy, its dangers, and diagnostic tools. Phase 2 involved simulated patient consultations and medication review exercises with pharmacists. Phase 3 involved reflection through debriefing sessions, reflective diaries, and standardised patient feedback. Student knowledge, confidence, and attitudes towards polypharmacy management were assessed using pre- and post-intervention questionnaires. Quantitative data were analysed through paired t-tests, and qualitative data were analysed thematically from reflective diaries. Results: Students demonstrated considerable improvement after the intervention in identifying symptoms of polypharmacy, suggesting deprescribing strategies, and working in multidisciplinary teams. Confidence in prioritising polypharmacy as a primary diagnostic problem increased from 32% to 86% (p < 0.01), and knowledge of diagnostic tools increased from 3.1 ± 0.6 to 4.7 ± 0.3 (p < 0.01). Standardised patients felt communication and patient-centredness had improved, with satisfaction scores increasing from 3.5 ± 0.8 to 4.8 ± 0.4 (p < 0.01). Reflective diaries indicated a shift towards more holistic thinking regarding medication burden. The small sample size limits the generalisability of the results. Conclusions: Teaching polypharmacy as a chronic condition in medical school enhances diagnostic competence, interprofessional teamwork, and patient safety. Education is a structured way of integrating the management of polypharmacy into routine clinical practice. This model provides valuable insights for designing medical curricula. Future research must assess the impact of such training on patient outcomes and clinical decision-making in the long term. Full article

Accurate estimation of metabolizable energy requirements (MER) is essential for appropriate dietary planning in dogs. However, standardized recommendations may not reflect the variability observed in clinical practice, particularly regarding individual factors such as neutering status, body condition, and age. This study aimed to retrospectively assess the MER factor in dogs treated at a Brazilian veterinary hospital, considering variables including sex, neuter status, body condition score (BCS), muscle mass score (MMS), body size, and life stage, and to compare the findings with those typically reported in the scientific literature. A total of 438 medical records from 2013 to 2025 were reviewed for this study. Data on demographic and clinical variables were collected, and MER factors were calculated based on energy intake and body weight. Statistical analyses were conducted to evaluate the interactions between variables, particularly BCS and neutering status. The study population included 253 males (57.8%) and 185 females (42.2%), with 80.6% of them being neutered. The MER values varied widely across the subgroups. Neutered dogs had consistently lower energy factors than intact dogs (p < 0.0001), and energy requirements decreased progressively with increasing BCS, regardless of neutering status (p < 0.05). A significant interaction between BCS and neutering status was observed (p = 0.0089), although BCS alone was not a significant predictor (p = 0.9670). No substantial differences were observed based on sex, body size, or life stage. MER values observed in clinical practice differ from standard recommendations and are influenced by the interaction between neutering status and body condition. These findings reinforce the need for individualized nutritional assessments in companion animal medicine and call for further studies to refine clinical energy estimation models. Full article

Background/Objectives: Hip fractures are highly prevalent worldwide, primarily affecting frail elderly patients. Frailty increases the risk of complications like postoperative delirium, which negatively impacts outcomes, including morbidity and mortality. Current recommendations favor a multidisciplinary approach and effective pain control, often using preoperative peripheral nerve blocks. We aimed to evaluate a multimodal approach’s efficacy in reducing postoperative delirium and complications in geriatric hip fracture patients. Methods: This study was conducted between March 2020 and June 2022. A total of 144 patients evaluated prior to the implementation of an optimized clinical pathway protocol (OCPP) were compared to 117 patients evaluated following its implementation. The protocol included early preoperative evaluation, streamlined medication adjustments, prompt surgical intervention and fascia iliaca compartment block (FICB) for analgesia. In addition, early patient mobilization and resumption of oral intake were promoted. The primary outcome was the incidence of delirium during hospitalization. Secondary outcomes were a composite of 30-day mortality or major complications, duration of stay, hospital readmission after discharge and 1-year mortality. Results: The OCPP intervention significantly reduced the incidence of postoperative delirium from 44% to 29% (a 33% relative reduction; p = 0.017), the rate of major complications or death was 14.5% in OCPP group and 25.7% in the control group (p = 0.02). Significantly more patients in the OCPP group were mobilized within 24 h (74.4% vs. 41.3% in the control group, p < 0.001). The median time to ambulation was also shorter in the OCPP group: 65 h (IQR: 39–115) compared to 72 h (IQR: 48–119.75) in the control group (p = 0.028). No differences were observed on hospital stay and 1-year mortality. Conclusions: Among patients undergoing hip fracture repair the implementation of a OCPP significantly reduced the incidence of postoperative delirium and the rate of major complications or death. This improvement was associated with significantly earlier patient mobilization and ambulation. The OCPP was not associated with a lower hospital stay and lower rate of one-year mortality. Full article

A total of 38% of Americans do not meet the Recommended Dietary Allowance (RDA) for calcium including those at risk for osteoporosis. To increase the percentage of patients at risk for osteoporosis who achieve goal calcium RDA intake, a collaborative specialty pharmacy-registered dietitian-nutritionist (RDN) quality improvement program was developed. Patients aged 18 to 90 years old receiving osteoporosis therapy (denosumab, teriparatide, zoledronic acid) or medications that increase bone loss (elagolix, oral prednisone) were provided with a structured assessment and educational intervention. Daily calcium intake included patient self-reported dietary intake plus supplement use. Written and verbal education on increasing dietary intake based on patient preferences was provided with 5 calcium-rich food-source store coupons. Recommendations for supplement selection (citrate vs. carbonate) and/or medication-related problem resolution were provided. Follow-up occurred at 3–6 months. Fifty patients enrolled [94% female, mean age 66.6 years (SD 15.3)] were taking denosumab (36), teriparatide (1), zoledronic acid (1), elagolix (7) and prednisone (5). The mean baseline daily dietary calcium intake was 500 mg (SD 247) with none achieving goal intake with diet alone. Average calcium supplement use in 22 (44%) patients was 686 mg daily (SD 284). At baseline, 17 (34%) met goal daily calcium intake compared to 30 (60%) at post intervention follow-up (p = 0.009). Over half of the store coupons were redeemed. A specialty pharmacy-RDN customized intervention program provides a model for aiding patients to modify calcium intake. Full article

Background/Objectives: Despite advancements in surgery, esophagectomy remains one of the most challenging and complex gastrointestinal surgical procedures, burdened by significant perioperative morbidity and mortality rates, as well as high financial costs. Recognizing the need for standardized care provided by a multidisciplinary healthcare team, the EUropean PErioperative MEdical Networking (EUPEMEN) initiative developed a dedicated protocol for perioperative care of patients undergoing esophagectomy, aiming to enhance recovery, reduce morbidity, and homogenize care delivery across European healthcare systems. Methods: Developed through a multidisciplinary European collaboration of five partners, the protocol incorporates expert consensus and the latest scientific evidence. It addresses the entire perioperative pathway, from preoperative preparation to hospital discharge and postoperative recovery, emphasizing patient-centered care, risk mitigation, and early functional restoration. Results: The implementation of the EUPEMEN esophagectomy protocol is expected to improve patient outcomes through a day-by-day structured prehabilitation plan, meticulous intraoperative management, and proactive postoperative rehabilitation. The approach promotes reduced postoperative complications, earlier return to oral intake, and shorter hospital stays, while supporting multidisciplinary coordination. Conclusions: The EUPEMEN protocol for esophagectomy provides a comprehensive guideline framework for optimizing perioperative care in esophageal surgery. In addition, it serves as a practical guide for healthcare professionals committed to advancing surgical recovery and standardizing clinical practice across diverse care environments across Europe. Full article

Background and Objectives: Investigating the adherence to antihypertensive medication and identifying patients with low adherence allows targeted interventions to improve therapeutic outcomes. Artificial intelligence (AI) offers advanced tools for analyzing medication adherence data. This study aimed to develop and validate several predictive models for non-adherence, using patient-reported data collected via a structured questionnaire. Materials and Methods: A cross-sectional, multi-center study was conducted on 3095 hypertensive patients from community pharmacies. A structured questionnaire was administered, collecting data on sociodemographic factors, medical history, self-monitoring behaviors, and informational exposure, alongside medication adherence measured using the Romanian-translated and validated ARMS (Adherence to Refills and Medications Scale). Five machine learning models were developed to predict non-adherence, defined by ARMS quartile-based thresholds. The models included Logistic Regression, Random Forest, and boosting algorithms (CatBoost, LightGBM, and XGBoost). Models were evaluated based on their ability to stratify patients according to adherence risk. Results: A total of 79.13% of respondents had an ARMS Score ≥ 15, indicating a high prevalence of suboptimal adherence. Better adherence was statistically associated (adjusted for age and sex) with more frequent blood pressure self-monitoring, a reduced salt intake, fewer daily supplements, more frequent reading of medication leaflets, and the receipt of specific information from pharmacists. Among the ML models, CatBoost achieved the highest ROC AUC Scores across the non-adherence classifications, although none exceeded 0.75. Conclusions: Several machine learning models were developed and validated to estimate levels of medication non-adherence. While the performance was moderate, the results demonstrate the potential of AI in identifying and stratifying patients by adherence profiles. Notably, to our knowledge, this study represents the first application of permutation and SHapley Additive exPlanations feature importance in combination with probability-based adherence stratification, offering a novel framework for predictive adherence modelling. Full article

Background/Objectives: Weight loss and its subsequent regain pose significant challenges for those dealing with overweight and obesity. This study explores weight loss strategies among adults in Saudi Arabia and evaluates factors linked to weight regain. Methods: This cross-sectional study focused on adults residing in Jazan, located in southwest Saudi Arabia. Data collection was conducted using a self-administered questionnaire that assessed participants’ demographics, medical history, perceptions of body weight, weight loss methods, and the incidence of weight regain. Logistic regression was used to determine whether there were statistically significant differences related to the occurrence of weight regain. Results: A total of 368 participants reported efforts to lose weight over the past 3 years. The average age of these participants was 32.7 years (standard deviation: 11.3), and the gender distribution was almost equal. The majority of the sample (65%) voiced dissatisfaction with their body weight. Some participants employed a combination of weight loss methods, with exercise, reduced food intake, and intermittent fasting being the most frequently mentioned. The findings also indicate that a minority sought professional help, whether from a physician or a nutritionist. Over 90% claimed to have successfully lost weight at least once during their attempts, but more than half (139 individuals) experienced weight regain following their weight loss efforts. Within the univariate logistic regression, higher odds ratios of weight regain were detected among men, older participants, those living in rural areas, individuals with higher levels of education, employed persons or business owners, those with higher monthly incomes, smokers, khat chewers, and those diagnosed with a chronic condition (p values < 0.05). However, the multivariate logistic regression revealed that only residence, monthly income, smoking status, and being diagnosed with a chronic disease remained statistically significant as predictors of weight regain after adjusting for other variables (p values < 0.05). Conclusions: These findings highlight the significance of incorporating weight regain prevention into body weight management for individuals dealing with overweight and obesity. Further research is needed to evaluate specific dietary, physical activity, and psychological factors that may increase the risk of weight regain in certain participants. Full article

Westernization of traditional diets has been implicated in the rising burden of overweight/obesity and type 2 diabetes, especially in developing countries. In recent times, diet therapy is increasingly being recognized as an essential component of diabetes care. This study assessed the effect of diet therapy on body composition, antioxidant nutrient intake, and glycemic status in individuals living with type 2 diabetes (ILWT2D). In this prospective observational cohort study, 45 ILWT2D who were receiving diet therapy (personalized dietary counseling) in addition to standard medical treatment (intervention group) were compared with 45 ILWT2D receiving only standard medical treatment (comparator group). Antioxidant micronutrient intake was assessed using a 24-h dietary recall. Body composition indices, including body mass index (BMI), percentage body fat (%BF), and visceral fat (VF), were assessed. Participants’ fasting blood glucose (FBG), glycated hemoglobin (HbA1C) levels, and blood pressure (BP) were measured. All measurements were performed before and after a three-month period. There were significant improvements in BMI (27.8 ± 6.0 kg/m² vs. 26.9 ± 5.5 kg/m², p = 0.003), %BF (37.8 ± 11.9% vs. 35.5 ± 10.5%, p < 0.001), visceral fat (9.8 ± 3.4 vs. 9.1 ± 3.2, p < 0.001), systolic BP (136.9 ± 19.9 mmHg vs. 124.6 ± 13.0 mmHg, p < 0.001), FBG (8.8 ± 2.8 mmol/L vs. 6.7 ± 1.5 mmol/L, p < 0.001), and HbA1c (7.3 ± 1.0% vs. 6.4 ± 0.8%, p < 0.001) in the intervention group from baseline to endline, but not in the comparator group. In contrast, %BF increased within the comparator group (39.9 ± 7.8 vs. 40.7 ± 7.4; p = 0.029). Vitamin A intake increased significantly (227.5 ± 184.3 µg vs. 318.8 ± 274.7 µg, p = 0.038) within the intervention group but not in the comparator group (174.9 ± 154.3 µg, 193.7 ± 101.4 µg, p = 0.54). There were no significant changes in zinc, copper, selenium, and vitamin C intakes (p > 0.05) in the intervention group from the baseline to endline, unlike those in the comparator group who showed a significant increase in the intake of these nutrients. There was a significant increase in vitamin A intake among the ILWT2D who received dietary counseling as an intervention compared to those who did not. Additionally, the ILWT2D who received dietary counseling had significant improvements in their body composition (BMI, body fat, and visceral fat) and systolic blood pressure, compared to those who did not. The ILWT2D who received the intervention had significantly better glycemic control (FBG and HbA1c) than their counterparts who did not. Thus, this study suggests the potential of diet therapy as a viable non-pharmacological treatment approach for individuals living with type 2 diabetes. Full article

Background/Objectives: Proper management of food services aimed at preventing malnutrition and weight loss among residents of long-term care facilities is a critical priority. Accordingly, accurate prediction of energy intake requirements is necessary. This study aimed to estimate the energy intake required to prevent weight loss in residents of Japanese long-term care facilities. Methods: Body weight and 12-day dietary intake were measured from residents aged ≥75 years with a body mass index (BMI) < 25.0 kg/m² who were consuming a regular or chopped diet. In the survey, individuals with oral intake were included, while those with swallowing problems, serious illnesses, dietary restrictions, or medications causing appetite loss were excluded. The rate of body-weight loss and the energy intake per kilogram of body weight (kcal/kg BW) during each 6-month period were calculated. The energy intake per kilogram of body weight corresponding to the rate of body-weight loss of 0% was estimated from the regression line between the rate of body-weight loss and energy intake per kilogram of body weight. Results: The data was analyzed for 99 residents (15 men and 84 women, age 89.3 ± 5.0 years, BMI 20.3 ± 2.6 kg/m²). From the regression results in all participants, the energy intake per kilogram of body weight corresponding to the rate of body-weight loss of 0% was 31.4 kcal/kg BW overall and 33.4 kcal/kg BW for those with a BMI < 18.5 kg/m². Conclusions: The calculation of energy intake using a regression line may be able to predict the energy intake required for weight maintenance without using instrumental measurements or estimation equations, especially in the case of underweight individuals. Full article