Categories
Nevin Manimala Statistics

The mechanical test as a supplemental decision support tool for the safe removal of an Ilizarov circular external fixator

Eur J Med Res. 2025 Feb 7;30(1):83. doi: 10.1186/s40001-024-02258-9.

ABSTRACT

BACKGROUND: Timing the fixator removal is vital for a successful external fixation treatment. The purpose of this study was to determine the effectiveness of axial load-share ratio in vivo as a supplemental decision support tool for the safe removal of an Ilizarov circular external fixator.

METHODS: This prospective observational study consists of 83 patients undergoing tibial or femoral lengthening with Ilizarov circular external fixation in our institution, from January 2011 to October 2019. In group I (38 patients), the external fixator was removed based on the surgeon’s clinical experience and radiographs from January 2011 to June 2015. In group II (45 patients), from July 2015 to October 2019, the supplemental axial load-share (LS) ratio test was accomplished without the knowledge of the clinical results by another medical team. The test was performed by electronically measuring forces in the fixator rods and in a ground force plate. When the LS ratio < 10% was consistent with the conclusion (dense bone formation was achieved in the distraction zone) drawn from the corresponding routine radiographs by the treating surgeon, the external fixator was removed.

RESULTS: There was no statistical significance in demographic data between the two groups (P > 0.05). In group I, 4 of the 38 patients suffered refracture (the refracture rate was 10.5%) after fixator removal, and bone union was finally achieved with further intervention by intramedullary nail. In group II, 36 patients terminated the external fixation after the first mechanical test, and another 9 patients terminated the external fixation at the subsequent test. None of the 45 patients in group II suffered refracture (the refracture rate was 0%). There was statistical significance in the refracture rate between the two groups (P < 0.05).

CONCLUSIONS: Adequate assessment of bone regenerate is crucial before removing an external fixator to prevent deformation or refracture. The axial load-share ratio in vivo is a practically quantitative method to supplement radiography and clinical experience for the assessment of regenerate healing, and the axial load-share ratio dropped below 10% is a safe limit for the Ilizarov circular external fixator removal.

PMID:39920873 | DOI:10.1186/s40001-024-02258-9

Categories
Nevin Manimala Statistics

Relationship between dietary intake and atherogenic index of plasma in cardiometabolic phenotypes: a cross-sectional study from the Azar cohort population

J Health Popul Nutr. 2025 Feb 7;44(1):28. doi: 10.1186/s41043-025-00761-1.

ABSTRACT

BACKGROUND: Cardiovascular diseases are a leading cause of global mortality, with diet playing a key role in their progression. The Atherogenic Index of Plasma (AIP) is a predictive marker for cardiovascular risk, but its association with dietary intake across cardiometabolic phenotypes remains underexplored. This study investigates the relationship between dietary intake and AIP, hypothesizing that energy intake and macronutrients influence AIP and, consequently, cardiovascular risk.

METHODS: This cross-sectional study analyzed data from 9,515 participants aged 35-55 in the Azar cohort study. Based on Body Mass Index (BMI) and metabolic syndrome (MetS), participants were classified into four phenotypes: metabolically healthy normal weight (MHNW), metabolically unhealthy normal weight (MUHNW), metabolically healthy obese (MHO), and metabolically unhealthy obese (MUHO). Dietary intake was evaluated using a semi-quantitative food frequency questionnaire (FFQ), and AIP was calculated. Adjustments were made for age, gender, socioeconomic status, and physical activity.

RESULTS: A notable difference was observed in demographic and clinical status between cardiometabolic groups of males and females. The AIP was highest in the MUHNW (0.42 for males; 0.28 for females) and lowest in the MHNW (0.05 for males; -0.05 for females, P < 0.001). There was a statistically significant difference in the mean energy intake and the percentage of energy intake from protein among the cardiometabolic phenotypes (p < 0.001). After adjusting for confounders, only weak but meaningful correlations remained for energy, carbohydrate, and protein intake in the MUHO (r = 0.048, P = 0.01; r = 0.057, P = 0.003; and r = 0.050, P = 0.01) and for carbohydrate and lipid intake in the MHO (r = 0.034, P < 0.01 and r = -0.055, P < 0.001).

CONCLUSION: The study found weak but meaningful correlations between energy, carbohydrate, and protein intake and AIP in the MUHO phenotype and between carbohydrate and lipid intake and AIP in the MHO phenotype. This highlights the role of energy and carbohydrates in AIP within specific subgroups. Future research should focus on the effects of macronutrient combinations on AIP and long-term dietary impacts on metabolic health instead of BMI.

PMID:39920871 | DOI:10.1186/s41043-025-00761-1

Categories
Nevin Manimala Statistics

Investigating the implementation of infection prevention and control practices in neonatal care across country income levels: a systematic review

Antimicrob Resist Infect Control. 2025 Feb 7;14(1):8. doi: 10.1186/s13756-025-01516-7.

ABSTRACT

BACKGROUND: Despite the proven effectiveness of infection prevention and control (IPC) practices in reducing healthcare-associated infections and related costs, their implementation poses a challenge in neonatal care settings across high-income (HICs) and low- and middle-income countries (LMICs). While existing research has predominantly focused on assessing the clinical effectiveness of these practices in neonatal care, aspects concerning their implementation remain underexplored. This systematic review therefore aimed to analyze implementation determinants and employed strategies for implementing IPC practices in inpatient neonatal care across country income levels.

METHODS: Following a targeted search in seven databases, titles and abstracts as well as full texts were screened in a dual review process to identify studies focusing on the implementation of IPC practices in inpatient neonatal care and reporting on implementation determinants and/or implementation strategies. Implementation determinants were synthesized using the updated Consolidated Framework for Implementation Research. Implementation strategies were coded according to the Expert Recommendations for Implementing Change taxonomy. A convergent integrated approach was used to narratively summarize results across qualitative and quantitative studies. χ2 Tests and Fisher’s Exact Tests were performed to analyze differences in implementation determinants and strategies across IPC practices and country income levels. The quality of included studies was assessed using the Mixed Methods Appraisal Tool.

RESULTS: Out of 6,426 records, a total of 156 studies were included in the systematic review. Neonatal units in LMICs and HICs showed general commonalities in reported implementation determinants, which were mainly reported at the organizational level. While educational as well as evaluative and iterative strategies were most frequently employed to support the implementation of IPC practices in both LMICs and HICs, other strategies employed showed variance across country income levels. Notably, the statistical analyses identified a significant association between country income levels and implementation determinants and strategies respectively ([Formula: see text]<0.05).

CONCLUSION: The results of this systematic review underscore the importance of the organizational level for the implementation of IPC practices in neonatal care irrespective of country income level. However, further research is needed to understand the underlying relationships of factors and dynamics contributing to the observed practice variances in LMICs and HICs.

REGISTRATION: PROSPERO (CRD42022380379).

PMID:39920866 | DOI:10.1186/s13756-025-01516-7

Categories
Nevin Manimala Statistics

Dietary and lifestyle patterns identified through reduced rank regression and their association with insulin-related disorders: a prospective analysis from the Tehran Lipid and Glucose Study

BMC Nutr. 2025 Feb 7;11(1):33. doi: 10.1186/s40795-025-01022-4.

ABSTRACT

BACKGROUND: Since foods are consumed in combinations that also interact with other lifestyle variables such as body mass index(BMI) and physical activity, it is difficult to separate the role of single foods or a lifestyle variable alone in predicting the risk of chronic diseases such as metabolic disorders. Therefore, a suitable way to examine the combined effect of food consumption and its interaction with other lifestyle variables is to derive dietary patterns and lifestyle patterns using appropriate statistical methods. This study aimed to derive two dietary and lifestyle patterns related to hyperinsulinemia and insulin resistance(IR) using reduced rank regression(RRR) analysis.

METHODS: The current study was conducted on 1063 individuals aged ≥ 25 years old of the Tehran Lipid and Glucose Study who have complete data on fasting blood sugar, plasma insulin, anthropometric variables, and nutritional intakes. Dietary intakes were collected using a food frequency questionnaire. Dietary and lifestyle patterns were identified via RRR analysis, using 34 food groups, BMI, smoking, and physical activity as predictor variables, and fasting serum insulin and HOMA-IR as response biomarkers.

RESULTS: RRR derived a dietary pattern with a higher intake of processed meat, doogh, pickles, lemon juices, fish, and a lower intake of starchy vegetables, garlic and onion, dried fruits, nuts, red meat, dairy products, and coffee as predictive variables for IR and hyperinsulinemia. Also, RRR derived a lifestyle pattern based on the above-mentioned dietary pattern and high BMI as response variables. In the final adjusted model of cross-sectional analysis, the odds of hyperinsulinemia(OR:1.23,95%CI:1.08-1.41,Ptrend=0.002) and IR(OR:1.52,95%CI:1.25-1.86,Ptrend<0.001) were elevated with increasing each quartile of RRR-derived dietary pattern score. Also, a higher adherence to RRR-derived lifestyle pattern was associated with higher odds of hyperinsulinemia(OR:2.49,95%CI:2.14-2.88,Ptrend<0.001) and IR(OR:3.20,95%CI:2.50-4.10,Ptrend<0.001). Moreover, after three years of follow-up, the risk of hyperinsulinemia(OR:1.30,95%CI:1.08-1.56,Ptrend=0.006) and IR(OR:1.26,95%CI:1.01-1.58,Ptrend=0.037) incidence were increased per each quartile increase of the RRR-derived lifestyle pattern.

CONCLUSIONS: Our findings suggested that a dietary pattern and lifestyle with elevated BMI level, higher consumption of processed meat, doogh, pickles, lemon juices, and fish, and lower consumption of starchy vegetables, garlic and onion, dried fruits, nuts, red meat, dairy products, coffee may be associated with a higher risk of hyperinsulinemia and IR. It is suggested that further studies with a larger sample size and more extended follow-up duration, especially in other populations with different lifestyles and food habits be performed to confirm the findings of the current study.

PMID:39920862 | DOI:10.1186/s40795-025-01022-4

Categories
Nevin Manimala Statistics

The combined impact of BMI and ABSI on all-cause mortality among American adults with diabetes

Diabetol Metab Syndr. 2025 Feb 7;17(1):48. doi: 10.1186/s13098-025-01614-x.

ABSTRACT

OBJECTIVE: Previous studies have emphasized the independent effects of anthropometric indices-including body mass index (BMI), A Body Shape Index (ABSI), waist-to-height ratio (WHtR), body roundness index (BRI), and Conicity Index-on mortality. However, their combined impact, especially in diabetic populations with distinct obesity patterns, has been less frequently explored. This study investigates both the independent and combined effects of these anthropometric indices on mortality in diabetic Americans and compares their individual and combined diagnostic value.

METHODS: A nationally representative cohort study was conducted using NHANES data (2005-2018), including 6,572 diabetic adults. Weighted Cox proportional hazards models and restricted cubic splines were applied to evaluate the independent and combined associations of anthropometric indices (BMI, ABSI, WHtR, BRI, and Conicity Index) with all-cause mortality. The weighted receiver operating characteristic (ROC) curve was used to assess the diagnostic value of individual anthropometric indices and their combinations in predicting mortality.

RESULTS: Among all the anthropometric indices, ABSI exhibited the strongest independent association with all-cause mortality, outperforming other measures such as BMI, WHtR, BRI, and Conicity Index. A clear linear relationship was identified, with higher ABSI tertiles consistently linked to an increased risk of mortality. Notably, within each BMI tertile, ABSI effectively differentiated mortality risk, particularly in the highest tertile. Furthermore, ABSI demonstrated the highest predictive performance among individual metrics (weighted AUC = 0.653) and showed further improvement when combined with BMI (weighted AUC = 0.669).

CONCLUSION: BMI and ABSI collectively provide a comprehensive evaluation of mortality risk in diabetic populations, capturing the synergistic effects of general and central obesity. These findings highlight the importance of integrating BMI and ABSI into risk assessments to identify high-risk individuals and guide targeted interventions for reducing mortality.

PMID:39920852 | DOI:10.1186/s13098-025-01614-x

Categories
Nevin Manimala Statistics

Analysis of long noncoding gene expression and its interactions with protein-coding genes in vascular endothelial cells in keloids

Eur J Med Res. 2025 Feb 7;30(1):86. doi: 10.1186/s40001-025-02271-6.

ABSTRACT

OBJECTIVES: The purpose of this study was to determine the relationship between protein-coding RNA (messenger RNA, mRNA) and long noncoding RNA (lncRNA) expressed in vascular endothelial cells (VECs) in keloids by reanalyzing Gene Expression Omnibus (GEO) microarray chip data.

MATERIALS AND METHODS: The GSE121618 database and clinical information of these samples were downloaded and reanalyzed by the R language package. Expression differences in mRNA and lncRNA between keloids and normal skin were calculated. GO/KEGG enrichment analysis was conducted to determine the function of these genes, and an interaction network of lncRNAs-mRNAs was constructed. Magnetic Sorting of VECs and qRT-PCR were used to verify these bioinformatic results.

RESULTS: The expression of three hundred and five mRNAs in the keloid group was significantly different from that in the normal group, and 98 lncRNAs were different, 21 of which were upregulated and 118 of which were downregulated. The hub relationship between the upregulated lncRNA‒mRNA interaction was lncRNA LINC01546-RASAL3/COL13A1, while the downregulated hub was lncRNA LOC101929787-PRKAA2/KRT71/SSTR1. qPCR verification result showed no obvious statistical differences.

CONCLUSIONS: Through the in-depth mining of keloid microarray data using bioinformatic methods, we speculated that VECs can affect the development and progression of keloids by epigenomic regulation via lncRNA‒mRNA interactions.

PMID:39920823 | DOI:10.1186/s40001-025-02271-6

Categories
Nevin Manimala Statistics

β-synuclein in cerebrospinal fluid as a potential biomarker for distinguishing human prion diseases from Alzheimer’s and Parkinson’s disease

Alzheimers Res Ther. 2025 Feb 7;17(1):39. doi: 10.1186/s13195-025-01688-9.

ABSTRACT

BACKGROUND: β-synuclein (β-syn), mainly expressed in central nerve system, is one of the biomarkers in cerebrospinal fluid (CSF) and blood for synaptic damage, which has been reported to be elevated in CSF and blood of the patients of prion diseases (PrDs).

METHODS: We analyzed 314 CSF samples from patients in China National Surveillance for CJD. The diagnostic groups of the 223 patients with PrDs included sporadic Creutzfeldt-Jacob disease (sCJD), genetic CJD (gCJD), fatal familial insomnia (FFI) and Gerstmann-Straussler-Scheinker (GSS). 91 patients with non-PrDs comprised Alzheimer’s disease (AD), Parkinson’s disease (PD), viral encephalitis (VE) or autoimmune encephalitis (AE) were enrolled in the control groups. The CSF β-syn levels were measured by a commercial microfluidic ELISA. The Mann-Whitney U test and Kruskal-Wallis H test were employed to analyze two or more sets of continuous variables. Multiple linear regression was also performed to evaluate the factors for CSF β-syn levels. Receiver operating characteristics (ROC) curves and area under the curve (AUC) values were used to assess the diagnostic performance of β-syn.

RESULTS: The median of β-syn levels (2074 pg/ml; IQR: 691 to 4332) of all PrDs was significantly higher than that of non-PrDs group (504 pg/ml; IQR: 126 to 3374). The CSF β-syn values in the cohorts of sCJD, T188K-gCJD, E200K-gCJD and P102L-GSS were remarkably higher than that of the group of AD + PD, but similar as that of the group of VE + AE. The elevated CSF β-syn in sCJD and gCJD cases was statistically associated with CSF 14-3-3 positive and appearance of mutism. ROC curve analysis identified satisfied performance for distinguishing from AD + PD, with high AUC values in sCJD (0.7640), T188K-gCJD (0.8489), E200K-gCJD (0.8548), P102L-GSS (0.7689) and D178N-FFI (0.7210), respectively.

CONCLUSION: Our data here indicate that CSF β-syn is a potential biomarker for distinguishing PrDs (gCJD, sCJD and GSS) from AD and PD, but is much less efficient from VE and AE. These findings have critical implications for early diagnosis and monitoring of synaptic integrity in prion diseases.

PMID:39920821 | DOI:10.1186/s13195-025-01688-9

Categories
Nevin Manimala Statistics

Effect of potent nucleos(t)ide analog on alpha fetoprotein changes and occurrence of hepatocellular carcinoma in patients with chronic hepatitis B

Infect Agent Cancer. 2025 Feb 7;20(1):8. doi: 10.1186/s13027-025-00639-1.

ABSTRACT

BACKGROUND: Successful antiviral therapy significantly decreases the incidence of hepatocellular carcinoma (HCC) in patients with chronic hepatitis B (CHB). Alpha-fetoprotein (AFP) in the serum is a valuable early indicator of HCC. However, it is unclear whether different antiviral medications have varying effects on AFP levels. The purpose of this study was to evaluate this issue in those treated with entecavir (ETV) versus tenofovir disoproxil fumarate (TDF).

METHODS: We prospectively enrolled treatment-naive CHB adults who commenced treatment with ETV or TDF. Their changes in biochemical, virological, and fibrosis parameters and the elevation of AFP or development of HCC during follow-up were analyzed.

RESULTS: A total of 1942 CHB patients were included (10-90% follow-up time 3-60 months), and 104 patients with elevated AFP (5.3%) and 27 patients with HCC development (1.4%) were identified during the follow-up. The difference in the cumulative incidence of AFP abnormalities and HCC was statistically significant between patients who received ETV or TDF therapy. Multivariate Cox regression showed that elevated liver stiffness with shear wave elastography (Hazard ratio (HR) = 1.05, 95% Confidence interval (CI) 1.03-1.08, P < 0.001) and abnormal AFP at baseline (HR = 1.00, 95% CI 1.00-1.00, P < 0.001) were independent risk factors for abnormal AFP in CHB patients, while shear wave elastography (HR = 1.07, 95% CI 1.02-1.12, P < 0.001) was also independent risk factor for HCC. Similar results were obtained after propensity score matching (PSM) analysis. The combination of shear wave elastography (SWE), mPage-B score, age and type 2 diabetes mellitus had an area under the curve of 0.838 (P < 0.001) in predicting the occurrence of HCC.

CONCLUSIONS: Similar AFP elevation and HCC development rates were observed in CHB patients treated with ETV or TDF. Elevated SWE and abnormal AFP at baseline were independent risk factors for abnormal AFP in CHB patients.

PMID:39920817 | DOI:10.1186/s13027-025-00639-1

Categories
Nevin Manimala Statistics

Can muscle synergies shed light on the mechanisms underlying motor gains in response to robot-assisted gait training in children with cerebral palsy?

J Neuroeng Rehabil. 2025 Feb 7;22(1):23. doi: 10.1186/s12984-025-01550-x.

ABSTRACT

BACKGROUND: Children with cerebral palsy (CP) often experience gait impairments. Robot-assisted gait training (RGT) has been shown to have beneficial effects in this patient population. However, clinical outcomes of RGT vary substantially from patient to patient. This study explored the hypothesis that clinical outcomes are associated with changes in muscle synergies in response to RGT.

METHODS: Thirteen children with CP and Gross Motor Function Classification Scale (GMFCS) levels I-IV were recruited in the study. Children participated in a 6 week-RGT intervention and underwent clinical evaluations and gait studies-with focus on the analysis of electromyographic (EMG) data-pre- and post-training. Lower-limb muscle synergies were derived from the EMG recordings. Pre- vs. post-RGT clinical outcomes and muscle synergies were compared to explore potential relationships.

RESULTS: Three and, less often, two muscle synergies were detected in study participants pre-RGT. Linear mixed effect models showed that composition of the muscle synergies and their temporal activation coefficients present deviations from normative data proportional to the severity of functional limitations (i.e., GMFCS levels, p < 0.01). At a group level, changes in muscle synergies pre- vs. post-RGT did not significantly correlate with changes in clinical outcomes (p > 0.05). However, it was observed that participants who displayed prominent changes in muscle synergies also displayed large improvements in clinical scores.

CONCLUSIONS: Gait impairments in children with CP were associated with muscle synergies that deviated from normative. Participants who demonstrated the most substantial improvements in clinical scores following RGT exhibited multiple changes in the muscle synergies. However, no statistically significant correlations were identified at the group level. Future studies relying on larger datasets are needed to further investigate this observation and potential underlying mechanisms.

PMID:39920813 | DOI:10.1186/s12984-025-01550-x

Categories
Nevin Manimala Statistics

Refining α-synuclein seed amplification assays to distinguish Parkinson’s disease from multiple system atrophy

Transl Neurodegener. 2025 Feb 7;14(1):7. doi: 10.1186/s40035-025-00469-6.

ABSTRACT

BACKGROUND: Parkinson’s disease (PD) and multiple system atrophy (MSA) are two distinct α-synucleinopathies traditionally differentiated through clinical symptoms. Early diagnosis of MSA is problematic, and seed amplification assays (SAAs), such as real-time quaking-induced conversion (RT-QuIC), offer the potential to distinguish these diseases through their underlying α-synuclein (α-Syn) pathology and proteoforms. Currently, SAAs provide a binary result, signifying either the presence or absence of α-Syn seeds. To enhance the diagnostic potential and biological relevance of these assays, there is a pressing need to incorporate quantification and stratification of α-Syn proteoform-specific aggregation kinetics into current SAA pipelines.

METHODS: Optimal RT-QuIC assay conditions for α-Syn seeds extracted from PD and MSA patient brains were determined, and assay kinetics were assessed for α-Syn seeds from different pathologically relevant brain regions (medulla, substantia nigra, hippocampus, middle temporal gyrus, and cerebellum). The conformational profiles of disease- and region-specific α-Syn proteoforms were determined by subjecting the amplified reaction products to concentration-dependent proteolytic digestion with proteinase K.

RESULTS: Using our protocol, PD and MSA could be accurately delineated using proteoform-specific aggregation kinetics, including α-Syn aggregation rate, maximum relative fluorescence, the gradient of amplification, and core protofilament size. MSA cases yielded significantly higher values than PD cases across all four kinetic parameters in brain tissues, with the MSA-cerebellar phenotype having higher maximum relative fluorescence than the MSA-Parkinsonian phenotype. Statistical significance was maintained when the data were analysed regionally and when all regions were grouped.

CONCLUSIONS: Our RT-QuIC protocol and analysis pipeline can distinguish between PD and MSA, and between MSA phenotypes. MSA α-Syn seeds induce faster propagation and exhibit higher aggregation kinetics than PD α-Syn, mirroring the biological differences observed in brain tissue. With further validation of these quantitative parameters, we propose that SAAs could advance from a yes/no diagnostic to a theranostic biomarker that could be utilised in developing therapeutics.

PMID:39920796 | DOI:10.1186/s40035-025-00469-6