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Nevin Manimala Statistics

Classification of fallers in Parkinson’s disease through machine learning based feature analysis

NPJ Parkinsons Dis. 2026 Apr 12. doi: 10.1038/s41531-026-01343-6. Online ahead of print.

ABSTRACT

Classification of fallers in Parkinson’s disease (PD) is challenging due to the heterogenous motor and non-motor symptoms. We developed a machine learning model integrating clinical and gait data to identify key clinical markers of faller status in PD. Of 468 participants, 396 with complete data were analyzed, with 298 assigned to training from one center and 98 to external validation from the other. Clinical assessments and GAITRite-derived gait metrics were obtained. Fall history classified participants as PD fallers, PD non-fallers, or healthy controls. Features were selected through statistical and importance-based approaches, and seven machine learning algorithms were trained. The Extra Trees classifier utilizing statistics-based feature selection demonstrated the highest performance (accuracy 88% internal, 89% external). Three principal domains consistently emerged: fear of falling (FoF), balance/gait measures (stride length, velocity, 360° rotation), and autonomic dysfunction. These findings support the feasibility of externally validated, multidomain machine learning-based faller classification in PD.

PMID:41968129 | DOI:10.1038/s41531-026-01343-6

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Nevin Manimala Statistics

Impact of Magnetized Water on Salivary pH, Salivary Flow Rate and the Streptococcal Mutant Colony Count in Healthy Individuals: A Pilot Randomized Controlled Trial

Int J Dent Hyg. 2026 Apr 12. doi: 10.1111/idh.70062. Online ahead of print.

ABSTRACT

INTRODUCTION: Saliva, a complex fluid with various chemical and physical properties, significantly influences oral health. Its secretion plays a vital role in maintaining oral cavity health, and Streptococcus mutans is more prevalent in areas surrounding caries and exhibits a close relationship with the disease. Magnets are believed to be robust safeguards against illness and serve as highly beneficial preventive tools. Hence, we intended to evaluate the effects of magnetized water oral rinse on salivary pH, salivary flow rate and the Streptococcal mutant colony count in healthy individuals.

MATERIALS AND METHODS: In this randomized controlled study, fifty participants were divided into either a magnetized water group (MWG; n = 25) or a normal water group (NWG; n = 25). The MWG underwent oral rinsing using magnetized water, whereas the NWG underwent oral rinsing using normal water for 2 min a day, daily for 2 weeks. Assessments were performed before and after the intervention. Statistical analysis was performed with the appropriate statistical test using SPSS, version 16.

RESULT: Within-Groups analysis showed a significant reduction in salivary pH [MWG (p = 0.001); NWG (p = 0.003)], and Streptococcal mutants colony count (p < 0.001 in both the groups) in both groups, with a significant increase in salivary flow rate only in the MWG (p = 0.002), unlike NWG (p = 0.081). However, between-group analysis showed a significant reduction in the Streptococcal mutant colony count in the MWG compared to the NWG (p = 0.005).

CONCLUSION: Oral rinsing using magnetized water is effective in reducing Streptococcal mutant colony count and increasing salivary flow rate compared to oral rinsing using normal water. However, further studies with a larger sample size are recommended to warrant the results of the study.

PMID:41968119 | DOI:10.1111/idh.70062

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Nevin Manimala Statistics

Factorial Validity and Reliability of the Executive Function-Related Toothbrushing Behavior Questionnaire Among Adults With Intellectual Disability at Commuting Welfare Facilities

Int J Dent Hyg. 2026 Apr 12. doi: 10.1111/idh.70068. Online ahead of print.

ABSTRACT

OBJECTIVES: To understand and improve toothbrushing behavior among persons with intellectual disability (ID) and who have difficulties with toothbrushing and vulnerabilities in executive function (EF), using the ‘Executive Function-related Toothbrushing Behaviour Questionnaire’ (EF-TB). This study aimed to evaluate the validity and reliability of the EF-TB in a population of adults with ID.

METHODS: In total, 92 participants with ID who utilize commuting (non-residential) welfare facilities were rated by family members or guardians using the EF-TB and by facility staff using the Dysexecutive Questionnaire (DEX). The DEX was used as an external standard to assess the concurrent validity of the EF-TB. The comparison group, comprising 70 participants without ID, completed the EF-TB. Factor structure, internal consistency reliability, discriminant validity, and concurrent validity were investigated.

RESULTS: Exploratory factor analysis yielded three factors: ‘Systematic implementation’, ‘Sustained implementation’, and ‘Start and Finish’. The Cronbach’s alpha and item-total correlation showed good levels of internal consistency reliability. All three sub-scale scores and the total score, showed statistically significant differences between the two groups, indicating a satisfactory level of discriminant validity for the EF-TB. Futhermore, a significant correlation was observed between the total scores of the two measures, suggesting an acceptable level of concurrent validity of the EF-TB.

CONCLUSIONS: The EF-TB is a valid and reliable tool for assessing EF related to toothbrushing behavior among persons with ID. The EF-TB scores offer useful information for developing effective ways of improving oral health behavior in this population.

PMID:41968117 | DOI:10.1111/idh.70068

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Nevin Manimala Statistics

Pregnancy-related complications and live-birth outcomes in pregnancies conceived by in vitro fertilization versus spontaneous conception

J Matern Fetal Neonatal Med. 2026 Dec;39(1):2654342. doi: 10.1080/14767058.2026.2654342. Epub 2026 Apr 12.

ABSTRACT

BACKGROUND: In vitro fertilization (IVF) pregnancies are associated with an increased risk of maternal and perinatal complications. Advanced maternal age and multiple gestations are more common in IVF and may contribute to adverse outcomes. Evaluating the interaction between mode of conception and maternal age may help clarify risk profiles in IVF pregnancies.

METHODS: This single-center, retrospective observational study included nulliparous women who delivered from 26 weeks’ gestation onward. A total of 144 IVF and 106 spontaneously conceived pregnancies were analyzed. IVF pregnancies included cycles with fresh or frozen embryo transfer and homologous or heterologous fertilization. Maternal characteristics, pregnancy complications, fetal and neonatal outcomes were compared between groups.

RESULTS: IVF pregnancies were associated with a significantly higher incidence of hypertensive disorders (17.9% vs 7.3%), and multiple pregnancies (25.9% vs 4.6%). Fetal complications, including fetal growth restriction (20% vs 7.3%), oligohydramnios (10.6% vs 2.8%), polyhydramnios (7.3% vs 0%), preterm premature rupture of membranes (6.4% vs 3%), and non-reassuring fetal heart rate patterns (17.1% vs 8%), were more frequent in IVF pregnancies. IVF pregnancies delivered at a lower gestational age (35.98 vs 37.99 weeks, p < .001), with lower birth weight (2244 vs 3074 g, p < .001), lower Apgar scores at 1 and 5 min, higher cesarean section rate (70.7% vs 52.8%), and higher NICU admission (38.8% vs 5.1%).

CONCLUSION: IVF pregnancies were associated with increased maternal morbidity and adverse fetal and neonatal outcomes compared to spontaneous pregnancies, including hypertensive disorders, fetal growth restriction, preterm birth, cesarean delivery, and NICU admission.

PMID:41968114 | DOI:10.1080/14767058.2026.2654342

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Nevin Manimala Statistics

Multifaceted Interventions Based on Education and Recognition to Enhance Nurses’ Compliance With Standard Precautions: A Quasi-Experimental Design

Nurs Health Sci. 2026 Jun;28(2):e70334. doi: 10.1111/nhs.70334.

ABSTRACT

This study examines the effect of multifaceted interventions based on education (1) and recognition (2) of compliance with standard precautions (SPs). A quasi-experimental research design with a one-group pre-test and post-test was used. The purposive sample included 71 nurses working in different specialty units at a large hospital in Turkey. The researchers developed multifaceted interventions informed by existing literature, data from the hospital, and insights from frontline experts, including nurses, ward managers, infection control officers, and health and safety officers. Initially, modifications were implemented in the physical environment of the clinics, and material deficiencies were addressed. In the subsequent phase, nurses engaged in an educational session focused on SPs. The nurses completed the Compliance with Standard Precaution Scale (CSPS) three times, including baseline (before the intervention, T0), third month after the intervention (T1), and sixth month after the intervention (T2). Nurses’ median compliance with SPs was significantly higher at T2 (15.8 ± 3.42) than at T0 (13.7 ± 3.16, p < 0.05). The multifaceted interventions comprising structured education and recognition enhanced the compliance with SPs of clinical nurses.

PMID:41968111 | DOI:10.1111/nhs.70334

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Nevin Manimala Statistics

q-RASAR modeling of antibiotics-microplastics mixtures: Towards predictive aquatic toxicology and resistance risk assessment

Aquat Toxicol. 2026 Apr 3;295:107819. doi: 10.1016/j.aquatox.2026.107819. Online ahead of print.

ABSTRACT

Microplastics (MPs) and antibiotics are emerging pollutants that frequently co-occur in aquatic environments, where their interactions intensify ecotoxicological risks and may accelerate the spread of antibiotics resistance. Experimental assessment of such sorption-driven environmental behavior of mixture is costly, time-intensive, and ethically constrained, underscoring the need for predictive computational approaches. We have reported a Partial Least Squares (PLS)-based quantitative Read-Across Structure-Activity Relationship (q-RASAR) framework to evaluate the sorption-driven toxicity of antibiotics-microplastics mixtures. The distribution coefficient (log Kd) was selected as the endpoint, reflecting partitioning between aqueous and plastic phases, a key determinant of environmental persistence and bioavailability. A curated dataset of antibiotics-microplastics mixtures was used to generate mixture descriptors based on additivity, squared, and norm-based rules. Descriptors reduction and q-RASAR integration yielded a final model with five hybrid descriptors (structural + similarity-based). The model exhibited strong internal robustness (Q2LOO = 0.761) and high external predictivity (Q2F1 = 0.832; MAEtest = 0.152). Applicability domain and Y-randomization confirmed statistical soundness. Mechanistic analysis indicated that hydrogen-bond donors, oxygen-based polar functionalities, and terminal unsaturation enhance adsorption, while steric hindrance and charge asymmetry reduce binding affinity. To address limited experimental data, we further designed 111 hypothetical mixtures and validated predictions using the Prediction Reliability Indicator (PRI) tool. Most predictions were classified as “Good” and within the applicability domain, confirming the framework’s scalability and reliability. By combining mechanistic interpretability with strong predictive power, the framework enables high-throughput virtual screening and supports early-stage environmental risk assessment, data-gap filling, and regulatory decision-making in line with OECD guidelines.

PMID:41967171 | DOI:10.1016/j.aquatox.2026.107819

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Nevin Manimala Statistics

A decade of colpocleisis: a retrospective analysis of outcomes, complications, and long-term patient satisfaction

Eur J Obstet Gynecol Reprod Biol. 2026 Apr 10;322:115116. doi: 10.1016/j.ejogrb.2026.115116. Online ahead of print.

ABSTRACT

BACKGROUND: Colpocleisis remains an effective yet often underutilised surgical option for advanced pelvic organ prolapse (POP), particularly in elderly women who no longer desire vaginal intercourse. Despite its long history, concerns persist regarding postoperative complications, urinary symptoms, and patient regret. This study aimed to evaluate the perioperative, long-term, and patient-reported outcomes of colpocleisis, and to identify predictors of persistent urinary incontinence.

METHODS: A retrospective single-centre cohort study was conducted including 66 women aged ≥60 years who underwent colpocleisis between January 2015 and January 2025. Perioperative data were obtained from a prospectively maintained database. Long-term follow-up was available for 40 patients, with a mean follow-up duration of 41.36 months. Outcomes included complications, prolapse recurrence, urinary symptoms, and patient satisfaction assessed using Patient Global Impression (PGI) questionnaires. Comparisons between partial and total colpocleisis were performed using risk ratios (RR), and univariate logistic regression was used to identify predictors of persistent urinary incontinence.

RESULTS: The mean age was 78 years. Overall perioperative complication rate was 9.1% (95% CI 4.2-18.5%). At long-term follow-up, anatomical success was achieved in 92.5% (95% CI 80.1-97.4%), with no patients requiring repeat prolapse surgery (0%, 95% CI 0-4.5%). Persistent urinary incontinence occurred in 30% (95% CI 18.1-45.4%), while no cases of de novo incontinence were observed. High patient satisfaction was reported by 81.4% (95% CI 63.0-92.1%), with a low regret rate of 3.7% (95% CI 0.7-18.3%). There were no statistically significant differences in outcomes between partial and total colpocleisis. On univariate analysis, urodynamic stress incontinence (OR 7.5, 95% CI 1.57-35.7, p = 0.01) and BMI ≥ 30 (OR 5.0, 95% CI 1.13-22.2, p = 0.03) were significant predictors of persistent urinary incontinence.

CONCLUSIONS: Colpocleisis is a safe and highly effective procedure for selected patients with advanced POP especially during the current emphasis on native tissues repairs for POP, offering durable anatomical outcomes, high satisfaction, and low regret rates. Preoperative urodynamic findings and obesity are important predictors of persistent urinary symptoms and should be considered during patient counselling and surgical planning.

PMID:41967161 | DOI:10.1016/j.ejogrb.2026.115116

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Nevin Manimala Statistics

Impact of endometriosis on survival outcomes in ovarian cancer patients: a pilot study

Eur J Obstet Gynecol Reprod Biol. 2026 Apr 9;322:115110. doi: 10.1016/j.ejogrb.2026.115110. Online ahead of print.

ABSTRACT

OBJECTIVES: The aim of our study is to investigate the percentage of ovarian cancer (OC) patients with concomitant endometriosis and its distribution across histological subtypes, and to assess whether the presence of endometriosis influences overall survival (OS) and disease-free survival (DFS) in patients with clear cell and endometrioid OC.

METHODS: We conducted a retrospective observational study using patient’s medical records of two reference hospitals in Spain, including OC patients, with and without endometriosis. We analysed the frequency of the association between cancer and endometriosis, the differences in OS and DFS survival between patients with and without endometriosis and the influence of age, tumour size, histological subtype and grade.

RESULTS: Among the 257 patients included, 39 (15.2%) had concomitant endometriosis. This correlation was particularly strong in endometrioid (EC) and clear cell carcinoma (CCC) patients; 61.0% of whom have concomitant endometriosis. Survival analysis demonstrated that, in EC and clear CCC, endometriosis-associated patients had longer OS (HR = 0.1773 [IC95% 0.03053-1.019]) and DFS (HR = 0.02 [IC95% 0.0009266-0.5100]) than OC patients without endometriosis. The difference was statistically significant for OS (p = 0.0174) but not for DFS (p = 0.0525). Univariate analysis shows that age, BMI or cyst size did not significantly affect disease outcomes.

CONCLUSIONS: Endometriosis has a clear association with EC and CCC. Its presence improves OS in Ovarian Cancer patients. Further studies are needed to confirm the improvement in outcomes and to determine the nature of the putative protection.

PMID:41967157 | DOI:10.1016/j.ejogrb.2026.115110

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Nevin Manimala Statistics

Identification of immune cell type-specific susceptibility genes in multiple cancers using transcriptome-wide association studies

J Natl Cancer Inst. 2026 Apr 9:djag108. doi: 10.1093/jnci/djag108. Online ahead of print.

ABSTRACT

BACKGROUND: Transcriptome-wide association studies (TWAS) integrate gene expression and genome-wide association studies (GWAS) to identify disease susceptibility genes. Because gene expression varies substantially across cell types within tissues, cell type-specific prediction models may enhance the power of TWAS.

METHODS: We conducted cell type-specific TWAS leveraging single-cell RNA sequencing data from the OneK1K cohort (14 immune cell types, 1.27 million cells) and GWAS summary statistics for seven cancers (>290,000 cases in total). To improve prediction accuracy, we developed a modeling framework that incorporates shared gene expression effects across cell types.

RESULTS: At a false discovery rate of 5% (Bonferroni 5%), we identified 106 (13) previously unreported loci for breast cancer, 51 (4) loci for prostate cancer, 11 (4) loci for lung cancer, 39 (5) loci for melanoma, 9 (1) loci for ovarian cancer, and 2 (1) loci for diffuse large B-cell lymphoma, with most genes exhibiting cell type specificity. Gene set analyses confirmed joint associations of unreported genes with breast and prostate cancer risk in UK Biobank data. Additional lung tissue scRNA-seq data with 113 individuals validated 18 of 32 (56.3%) significant genes for lung cancer. Across cancers, 139 significant genes were shared by at least two cancer types and were primarily enriched in specific immune cell types.

CONCLUSION: Cell type-specific TWAS improves the identification of novel cancer susceptibility loci and provides insights into the immune landscape of cancer etiology.

PMID:41967136 | DOI:10.1093/jnci/djag108

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Nevin Manimala Statistics

Dietary factors influencing zinc excretion in pigs: a meta-regression analysis

J Anim Sci. 2026 Apr 9:skaf308. doi: 10.1093/jas/skaf308. Online ahead of print.

ABSTRACT

Although several nutritional tables report Zn requirements for pigs, dietary Zn levels that exceed recommendations are commonly used to improve performance in nursery pigs. However, excessive Zn supplementation is a practice that has been recently regulated in different countries. Understanding the factors influencing Zn excretion is important for optimizing Zn utilization in swine production and mitigating regulations of its use. This review compiled data from 51 published studies to identify factors associated with Zn excretion using a principal component analysis and developed predictive models for fecal Zn excretion utilizing a meta-regression analysis. Because urine Zn excretion was negligible (around 2% of the total Zn excretion) fecal and total Zn excretion did not differ. The first two principal components (PC) accounted for 35.9% and 19.3% of the total database variance, respectively. Principal component 1 was primarily influenced by nutrient intake variables, including fiber, NE, nitrogen, and minerals such as P, Ca, and Fe, as well as body weight and feed intake. Principal component 2 was dominated by Zn-related variables including Zn intake, fecal Zn excretion, the difference between Zn intake and Zn requirements estimates from NRC (2012), and added dietary Zn. Variables such as Mn, Cu, and lactose intake moderately contributed to both components, whereas the use of antibiotics, exogenous enzymes other than phytase, and acidifiers had a low impact on the variation explained by both components. Stepwise selection indicated that when pigs were fed at or below their Zn requirement estimate, Zn, P, and Fe intake significantly influenced fecal Zn excretion. However, when Zn intake exceeds the requirement estimate, Zn sources and Zn intake were the most influential variables. Regardless of the scenario, Zn intake was the primary determinant of fecal Zn excretion. The meta-regression analysis indicated that when pigs are fed at or below their Zn requirement, 61% of Zn intake is excreted in feces, increasing to 82% when Zn intake exceeded requirements. In conclusion, while Zn excretion is affected by multiple dietary factors, their contribution under practical conditions is relatively low and Zn intake remains the primary determinant of fecal Zn excretion.

PMID:41967135 | DOI:10.1093/jas/skaf308