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Nevin Manimala Statistics

Association of Increase in White Matter Hyperintensity Volume With Rate of Hippocampal Atrophy in a Population-Based Study of Aging

Neurology. 2025 Sep 9;105(5):e213975. doi: 10.1212/WNL.0000000000213975. Epub 2025 Aug 19.

ABSTRACT

BACKGROUND AND OBJECTIVES: Higher white matter hyperintensity volume (WMHV) is associated with hippocampal atrophy, cognitive decline, and dementia; however, it is unknown whether continually increasing WMHV is related to hippocampal atrophy. The aim of this study was to determine whether higher WMHV change rate (WMHVR) is related to higher hippocampal atrophy rate (HAR); this relationship is dependent on cardiovascular risk factors (CVRFs), Alzheimer disease (AD) pathology, and genetic risk; and this relationship is mediated by neuroaxonal degradation.

METHODS: Participants from Insight46, a substudy of the 1946 British Birth Cohort, underwent combined [18F]florbetapir PET/MRI scans at University College London approximately 2.5 years apart. WMHVR was quantified from T2/fluid-attenuated inversion recovery and HAR from T1 sequences. Life-course blood pressure and CVRF data were measured at 6 and 3 time points, respectively. APOE genotype and neurofilament light chain (NfL) quantification were derived from blood samples. Participants with neurologic conditions were excluded from primary analyses. Linear regression was used to test the relationships between WMHVR and HAR, adjusting for sex, age, and total intracranial volume (TIV) and CVRF, APOE-ε4 status, and β-amyloid (Aβ) in separate models. Semipartial R2 was calculated from these models. In a post hoc analysis, structural equation modeling aimed to determine whether NfL mediated the relationship between WMHVR and HAR.

RESULTS: A total of 317 individuals without neurologic conditions (48% female, 100% White British, mean baseline age [SD] = 70.5 [0.6] years) were included. The mean HAR was 0.04 [0.04] mL/y. Each 1 mL/y increase in WMHVR was associated with a 0.014 mL/y (95% CI 0.005-0.022) increase in HAR, adjusted for TIV, age, and sex (p = 0.002). Adjustment for additional variables did not meaningfully attenuate this association (≥0.012 mL/y, p ≤ 0.005, all models), and there was no indirect effect through NfL (0.0004 mL/y [95% CI -0.0006 to 0.0012], p < 0.1).

DISCUSSION: Higher WMHVR was associated with HAR between approximately 70 and 73 years, independent of CVRF levels, APOE-ε4 status, and Aβ load, and not mediated by markers of neuroaxonal degradation. Although AD-specific pathology is typically considered the main cause of accelerated HAR, we demonstrated that HAR is also linked to deteriorating WM health. These results will need to be replicated in more diverse cohorts with longer follow-up periods to confirm the findings.

PMID:40829101 | DOI:10.1212/WNL.0000000000213975

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Nevin Manimala Statistics

Temporal shift in prevalence of heart failure diagnoses and comorbidities within 2 US integrated health systems

Am J Manag Care. 2025 Aug 1;31(8):e238-e240. doi: 10.37765/ajmc.2025.89780.

ABSTRACT

OBJECTIVE: To assess trends in assigned International Statistical Classification of Diseases, Tenth Revision ( ICD-10 ) codes for patients hospitalized with heart failure (HF) from 2018 to 2022 in 2 large US health systems.

STUDY DESIGN: Retrospective cross-sectional analysis of ICD-10 codes assigned to patients hospitalized with HF in the Providence Health and University of Colorado Health (UCHealth) systems.

METHODS: The study included patients discharged from the Providence Health and UCHealth systems between 2018 and 2022 with a primary diagnosis of HF. ICD-10 codes analyzed included systolic HF (I50.2), diastolic HF (I50.3), combined systolic and diastolic HF (I50.4), hypertensive heart disease with HF (I11.0), and hypertensive heart disease with HF and chronic kidney disease (CKD) (I13.0, I13.2). Hospitalization data were analyzed separately for each health system due to privacy policies.

RESULTS: Between 2018 and 2022, 61,238 HF hospitalizations occurred in the Providence Health system, and 13,576 occurred in UCHealth. Hypertensive heart disease with HF and CKD was the most common diagnosis, accounting for 42% to 56% of HF hospitalizations, followed by hypertensive heart disease with HF (34%-42%). Together, these diagnoses represented 85% to 90% of HF hospitalizations. Systolic, diastolic, and combined HF codes accounted for only 9% to 18% of hospitalizations. Significant variability in hypertension prevalence (ie, 100% in Providence Health and 38%-39% in UCHealth) was observed between the 2 health systems in patients with codes I13.0 and I13.2.

CONCLUSIONS: The study highlighted a significant shift in HF diagnosis codes, with hypertensive heart disease with HF with and without CKD now predominant. The findings highlight the need for standardized coding practices across health systems for quality improvement initiatives and health services research.

PMID:40829099 | DOI:10.37765/ajmc.2025.89780

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Nevin Manimala Statistics

Diabetes Self-Management Goals in an Internal Medicine Clinic: A Quality Improvement Initiative

Mil Med. 2025 Aug 19:usaf407. doi: 10.1093/milmed/usaf407. Online ahead of print.

ABSTRACT

INTRODUCTION: The Defense Health Agency directs that military Medical Treatment Facilities provide Patient-Centered Medical Home (PCMH) services within its Internal Medicine and other Primary Care clinics. Development and documentation of self-management goals for chronic diseases within the electronic medical record (EMR) is a PCMH accreditation standard through the Joint Commission. This quality improvement project aimed to implement a structured approach to creating and documenting SMART (Specific, Measurable, Achievable, Relevant, and Time-bound) goals for patients with Type 2 Diabetes Mellitus (DM) in a military-affiliated Internal Medicine clinic. Although SMART goals have demonstrated clinically meaningful reductions in hemoglobin A1c (HbA1c), the effects of SMART goals on patient perceptions of their health and self-management of their DM have not been fully studied.

MATERIALS AND METHODS: This study voluntarily enrolled 62 patients aged 19-90 with DM and HbA1c >8% (64 mmol/mol) within the previous 6-month period from a military-affiliated Internal Medicine clinic. Exclusion criteria included patients following with a subspecialist for DM management. Enrolled patients developed and discussed SMART goals with their physician using a standardized goal-setting tool for self-management of their DM. These goals were documented in the EMR for longitudinal follow-up between patients, physicians, and the clinic care team. HbA1c and patient self-reported health perceptions were evaluated before and after 3 months of participation in this intervention. Data analysis used a 2-tailed paired samples t-test. The study protocol underwent Institutional Review Board examination and was determined not to constitute research.

RESULTS: Of 62 patients enrolled, 36 completed post-surveys and were included in the statistical analysis. Results showed a statistically significant reduction in HbA1c levels, with a mean decrease from 9.18% (77.2 mmol/mol) to 7.84% (62.7 mmol/mol) (P < 0.001). Patient-reported perceptions of their health, goal-oriented behaviors, perceived ability to influence health through lifestyle changes, and responsibility for self-management of their DM did not change significantly.

CONCLUSIONS: This quality improvement project further highlights the importance of self-management goals in improving biomedical outcomes and disease management markers. Despite a significant improvement in HbA1c, no changes were observed in patient-reported health perceptions. Overall, patients indicated high adherence and positive feedback with this intervention. The goal-setting tool and standardized documentation strategy as implemented are a viable strategy for satisfying a PCMH accreditation standard. Future studies could address limitations such as single-site design, response rates, and review specific effects on perceptions with the use of validated survey instruments. Similar self-management interventions can be applied to other chronic diseases where daily lifestyle choices influence outcomes.

PMID:40829048 | DOI:10.1093/milmed/usaf407

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Nevin Manimala Statistics

Optimal inter-layer connections for maximizing synchronizability in two-layer chain network

Chaos. 2025 Aug 1;35(8):083127. doi: 10.1063/5.0279141.

ABSTRACT

We develop a rigorous mathematical framework to determine the optimal inter-layer edge configurations that maximize synchronizability in two-layer chain networks-an area previously limited to empirical approaches. Departing from prior work relying on numerical simulations, we analytically prove that synchronizability is maximized when inter-layer edges are placed (i) at the chain’s midpoint (single-edge case) and (ii) at the one-quarter and three-quarter positions (dual-edge case). We also compute the coupling strength thresholds and further conjecture the optimal placement pattern for an arbitrary number of inter-layer edges, supporting this hypothesis with extensive numerical validation. These results bridge spectral graph theory and network topology design, offering principled guidelines for engineering interconnected chain-like systems, such as supply chains, information dissemination, and epidemic spread.

PMID:40829032 | DOI:10.1063/5.0279141

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Nevin Manimala Statistics

Clinical Adaptation of the Minimum Speech Test Battery-Version 3

Am J Audiol. 2025 Aug 19:1-17. doi: 10.1044/2025_AJA-25-00066. Online ahead of print.

ABSTRACT

PURPOSE: The Minimum Speech Test Battery-Version 3 for adults (MSTB-3) was released in 2024 as an evidence-based, streamlined test battery for pre-operative determination of candidacy and postoperative assessment of adult cochlear implant (CI) performance. A survey was dispersed to examine clinicians’ understanding and adoption of the new protocol and gain clinical insights on its implementation.

METHOD: A link to a 32-question survey was distributed to audiologists via e-mail and social media platforms, collecting responses from 307 participants practicing in various settings. The survey assessed respondents’ understanding of MSTB-3 materials, participation in training sessions, and integration of MSTB-3 recommendations into clinical care. Descriptive statistics were used to analyze data and identify trends.

RESULTS: Results indicated that 89% of audiologists were familiar with the MSTB-3, with 60% having participated in one or more training sessions. Of the respondents, 85% reported incorporating parts or all of the MSTB-3 recommendations into their practices and 75% believed it improved standardization of CI evaluations. Clinicians reported using Consonant-Nucleus-Consonant (CNC) word scores for CI candidacy decisions, consistent with MSTB-3 recommendations, but varied in the score criteria used to determine candidacy. Results show a trend toward more streamlined and efficient patient care delivery recommendations.

CONCLUSIONS: The MSTB-3 has facilitated greater consistency in CI evaluation and follow-up care, addressing historical variability in clinical practices. Its evidence-based approach, including streamlined test protocols and user-friendly tools, offers a framework for improved CI access and standardization. Further training and dissemination efforts are recommended to enhance clinicians’ understanding and to address implementation challenges, ultimately advancing the quality of CI services and reducing disparities in care.

PMID:40829022 | DOI:10.1044/2025_AJA-25-00066

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Nevin Manimala Statistics

Detection and Density of S. pneumoniae, Cytokine/Chemokine Levels and Mucosal Antibody Levels to Pneumococcus in Nasopharyngeal Samples During SARS-CoV-2 Respiratory Infection in Children

Pediatr Infect Dis J. 2025 Aug 6. doi: 10.1097/INF.0000000000004939. Online ahead of print.

ABSTRACT

BACKGROUND: Streptococcus pneumoniae (Spn) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are important pathogens. We evaluated the frequency and density of Spn in nasopharyngeal samples, frequency of multiple respiratory virus detection, mucosal cytokine/chemokine levels, and mucosal antibody levels to Spn proteins and capsular polysaccharides during SARS-CoV-2 respiratory infections in children.

METHODS: This retrospective study evaluated 222 nasopharyngeal samples collected from children (age 0-18 years) who were tested for SARS-CoV-2 between May 2020 and October 2021. In 111 SARS-CoV-2 positive (+) and 111 SARS-CoV-2 negative (-) samples, we tested for Spn presence and density, 6 viruses (influenza, parainfluenza, respiratory syncytial virus, human rhinovirus, enterovirus and adenoviruses), 9 mucosal cytokine and chemokine levels, mucosal immunoglobulin G (IgG) and IgA antibody levels to Spn PhtD and PcpA proteins and 7 capsular polysaccharides.

RESULTS: Fourteen percent had Spn concurrently present in SARS-CoV-2+ versus 10.6% for SARS-CoV-2-, (not significant). Concurrent SARS-CoV-2 and human rhinovirus detection occurred. Nasopharyngeal cytokine levels in SARS-CoV-2+ samples were not different compared to SARS-CoV-2- samples, except for monocyte chemoattractant protein-1 (higher in SARS-CoV-2+), and not impacted by presence/density of Spn. Nasopharyngeal IgG antibody levels to PhtD and PcpA, and capsular polysaccharide serotypes during SARS-CoV-2+ infections were not different compared to SARS-CoV-2-.

CONCLUSION: Nasopharyngeal Spn detection and density were not different between SARS-CoV-2+ and SARS-CoV-2- samples in children. Concurrent respiratory virus infection was not common. Nasopharyngeal monocyte chemoattractant protein-1 was higher in SARS-CoV-2+ children. Nasopharyngeal IgG antibody levels to 2 Spn proteins and 7 polysaccharide capsule types did not differ between SARS-CoV-2+ and SARS-CoV-2- samples.

PMID:40829009 | DOI:10.1097/INF.0000000000004939

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Nevin Manimala Statistics

Does Retention of Periosteum at the Palatal Donor Site During Subepithelial Connective Tissue Graft Harvesting Influence Wound Healing and Morbidity? A Randomized Controlled Tria

Int J Periodontics Restorative Dent. 2025 Aug 19;0(0):1-27. doi: 10.11607/prd.7814. Online ahead of print.

ABSTRACT

In subepithelial connective tissue graft (SCTG) harvesting, some clinicians prefer to leave the periosteum at the donor site, anticipating faster healing of the palatal wound, though this assumption has not been clinically proven yet. This study aimed to compare early wound healing at palatal donor sites and patient-reported outcome measures (PROMs: pain perception, delayed bleeding and sensation loss) after harvesting SCTG with or without periosteum using the single-incision technique (SIT). Thirty-eight patients were randomly assigned to two groups: SCTG with periosteum (SCTGP+ group) and SCTG without periosteum (SCTGP- group). Assessment of donor site wound healing at one-week post-surgery using modified early healing index (EHI) was the primary outcome of the study and PROMs were the secondary outcomes. Thirty-four patients (17 in each group) were included in final analysis. The mean EHI for SCTGP+ group (2.88 ± 1.22) and for SCTGP- group (2.70 ± 1.10) did not differ significantly (p = 0.661). Palatal flap thickness was found to be negatively correlated with EHI (p < 0.001) and pain (p < 0.05). No statistically significant differences in pain perception were observed between the groups at any time point. None of the patients reported delayed bleeding. Sensation loss recovery was faster in SCTGP+ group with significant difference between the groups only at week 2 (p = 0.026). Within the limitations of our study, harvesting of SCTG with or without periosteum was not found to significantly influence the wound healing and pain perception at palatal donor site.

PMID:40829008 | DOI:10.11607/prd.7814

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Nevin Manimala Statistics

Pre-crash injury risk prediction with guaranteed confidence level: a conformal and interpretable framework

Traffic Inj Prev. 2025 Aug 19:1-11. doi: 10.1080/15389588.2025.2538725. Online ahead of print.

ABSTRACT

OBJECTIVE: Pre-crash injury risk prediction is crucial for proactive safety measures, while traditional models, which output single-point predictions without explaining the decision reasons, often lack interpretability and reliable uncertainty estimation to reflect potential risk distributions. These drawbacks limit their practical effectiveness in mitigating injury severity. To overcome these limitations, this study develops a novel framework that outputs potential risk distributions and their corresponding probabilities using only pre-crash data, thereby delivering probabilistic outputs with a statistically guaranteed 90% confidence level. By introducing such a framework, we aim to provide a more convincing and interpretable analysis of the injury distribution and its underlying causes in traffic accidents, ultimately offering data-driven guidance for injury mitigation strategies.

METHODS: Data from the National Automotive Sampling System-Crashworthiness Data System and the Crash Investigation Sampling System were used, incorporating 28 pre-crash risk factors. Several machine learning models, including ensemble methods and the deep learning model TabNet, were evaluated. To address the significant class imbalance, particularly the limited number of serious injury cases, various resampling strategies were applied. The core contribution lies in integrating conformal prediction methods, both naive and class-conditional, to generate prediction sets at a 90% confidence level. Model performance was assessed via global evaluation metrics (i.e., f1-score) and serious injury recall, and interpretability was enhanced using explainable machine learning and statistical analysis.

RESULTS: Comparative experiments indicate a nearly 90% prediction coverage and a 70.3% recall rate for serious injuries by proposed framework, which is significantly higher than those reported in related studies. Further model interpretation highlights key risk factors such as intersection relevance, crash type, and speed limits and how they effect injury severity prediction.

CONCLUSIONS: Proposed framework demonstrates significant potential in pre-crash injury risk prediction by introducing conformal prediction techniques to machine learning models. In addition to enhancing predictive performance to nearly 90% prediction coverage and a 70.3% recall rate for serious injuries, this framework also provides enhanced interpretability by quantifying prediction uncertainty and identifying key risk factors. Unlike traditional methods, the framework remains valid under distribution shifts and combines uncertainty estimation with model interpretability. These advantages collectively lay a foundation for developing proactive traffic safety applications and formulating data-driven road safety policies.

PMID:40828994 | DOI:10.1080/15389588.2025.2538725

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An Assessment of the Journal of Bone and Joint Surgery Publication Trends From 2012 Through 2022

J Am Acad Orthop Surg Glob Res Rev. 2025 Aug 19;9(8). doi: 10.5435/JAAOSGlobal-D-25-00002. eCollection 2025 Aug 1.

ABSTRACT

BACKGROUND: Clinical research is an integral component of orthopaedic practice with the purpose of advancing the field and improving patient care. The Journal of Bone and Joint Surgery (JBJS) is a well-respected journal with a high impact factor and considerable influence on clinical practice. To our knowledge, there has been no systematic evaluation highlighting the variety of research published in this journal. Therefore, the purpose of this study was to evaluate trends in characteristics of articles published in JBJS from 2012 to 2022, including type of study, level of evidence, author information, and country of publication.

METHODS: Articles published in JBJS between 2012 and 2022 were retrieved from the JBJS Archives. Title, level of evidence, description of the study as delineated in the abstract, first author degree, number of authors, and country of publication were recorded for each published article.

RESULTS: A total of 2668 articles were published in JBJS from 2012 to 2022. The proportion of preclinical studies published per year significantly decreased (P = 0.0025), whereas no statistically significant change was observed in the proportion of clinical studies (P = 0.34). A significant increase was noted in the proportion of database studies published (P = 0.00012). Studies classified as level II decreased over the study period (P = 0.029), whereas level III increased over the study period (P = 0.034). The average number of authors per article was 6 ± 3 authors with a significantly increasing trend over the study period (P = 0.0043). The proportion of first authors who were MD or equivalent decreased (P = 0.025), whereas first authors who were non-MD or non-PhD equivalent increased (P = 0.0068).

CONCLUSION: The publication trends in JBJS over the past decade demonstrate the changing landscape of orthopaedic research as it aims to address the burden of musculoskeletal injury and disease.

PMID:40828978 | DOI:10.5435/JAAOSGlobal-D-25-00002

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Influence of a Bis-GMA-free universal adhesive system on enamel bond strength to ceramic brackets

Gen Dent. 2025 Sep-Oct;73(5):42-47.

ABSTRACT

The aim of this study was to evaluate the shear bond strength and Adhesive Remnant Index (ARI) of ceramic brackets bonded to enamel using a universal adhesive system free of bisphenol A glycidyl methacrylate (Bis-GMA). A total of 100 bovine incisors were divided into 2 groups (n = 50) that received ceramic brackets (Morelli Ceramic or Ice Clear) bonded after acid etching and application of 1 of 5 adhesive systems (n = 10): Adper Single Bond 2, a conventional adhesive system (control group); Scotchbond Universal Plus, a Bis-GMA-free universal adhesive system; and Single Bond Universal, BeautiBond Xtreme, and BeautiOrtho Bond II, all Bis-GMA-containing universal adhesives. Shear bond strength was tested in a universal testing machine (50-kgf load cell; 0.5 mm/min crosshead speed), and the ARI was analyzed under ×20 magnification. Statistical analysis included a generalized linear model with Fisher exact test, Kruskal-Wallis test with post hoc Dunn test, and Mann-Whitney U test; the significance level was set at 5%. No statistically significant differences in shear bond strength were observed among the adhesive systems (P = 0.7821) or their interactions with bracket type (P = 0.5449). A significant difference was found when bracket types were compared (P < 0.0001), with the Morelli Ceramic bracket groups showing the highest bond strengths regardless of the adhesive system used. A significant association between adhesives and the Morelli Ceramic bracket was observed for the ARI score (P = 0.0018), with 100% of specimens in the Scotchbond Universal Plus adhesive group retaining more than half of the resin on the tooth. The Bis-GMA-free universal adhesive system achieved the highest percentage of adhesive retention on the tooth for both bracket types.

PMID:40828557