Categories
Nevin Manimala Statistics

Excellent functional outcomes and low complication rate following open reduction for severe pediatric radial neck fractures: A retrospective analysis

Injury. 2026 May 26;57(8):113386. doi: 10.1016/j.injury.2026.113386. Online ahead of print.

ABSTRACT

BACKGROUND: Pediatric radial neck fractures, though rare, pose significant management challenges with several treatment options. Open reduction is typically used for more complex cases, where greater fracture severity may contribute to higher complication rates and poorer outcomes. This study aims to evaluate functional outcomes, complications, and risk factors in a large cohort of pediatric patients treated with open reduction, performed after unsuccessful closed reduction.

METHODS: A retrospective cohort study was conducted on 53 pediatric patients (mean age 8 years) with radial neck fractures (Judet 4) treated surgically with open reduction, performed after unsuccessful closed reduction, at a single institution between March 2014 and October 2024. Data on surgical delay, complications, and functional outcomes (Oxford Elbow Score) were collected. Statistical analyses included correlation tests, t-tests, and multivariate regression models to assess predictors of outcomes and complications.

RESULTS: The mean Oxford Elbow Score was 96, indicating excellent functional outcomes. Complications occurred in 13.5% of patients, including heterotopic ossification (9.6%), posterior interosseous nerve injury (1.9%), and avascular necrosis (1.9%). Surgical delay was significantly longer in patients with complications (p = 0.038). Multivariate analysis revealed that complications were the most significant predictor of poorer functional outcomes (β = -17.12, p < 0.001), while the surgical delay did not significantly impact outcomes or complication rates.

CONCLUSION: Open reduction, performed after unsuccessful closed reduction, for pediatric severe radial neck fractures yields excellent functional outcomes with a low complication rate. Complications, such as heterotopic ossifications, are the primary determinant of poor outcomes, whereas surgical delay and age do not significantly affect results.

LEVEL OF EVIDENCE: Level III – Retrospective cohort study.

PMID:42224787 | DOI:10.1016/j.injury.2026.113386

Categories
Nevin Manimala Statistics

Development and internal validation of a prediction model for in-hospital mortality in trauma patients with high-energy pelvic fractures admitted to a single major trauma centre

Injury. 2026 May 26;57(8):113387. doi: 10.1016/j.injury.2026.113387. Online ahead of print.

ABSTRACT

BACKGROUND: Pelvic fractures, although relatively uncommon, are associated with high economic burden, morbidity, and mortality. Mortality is largely driven by severe associated injuries and high-energy mechanisms. While predictors of mortality are well established, their local applicability for the study institution has not been updated using site-specific data since an earlier regional study (2001-2008). As trauma management protocols have evolved, this study utilizes prediction model development and internal validation-adhering to the TRIPOD guidelines-to update the prognostic value of these established predictors within our institutional context by using site-specific data.

METHODS: Data from July 2010 – December 2022 were sourced from a Level I adult Major Trauma Centre’s registry. The cohort included patients > =15 years old with Injury Severity Score (ISS)> 12 and pelvic fractures. In-hospital mortality was the outcome of interest. Model development utilized backward elimination for predictor selection into a multivariable logistic regression model, with internal validation via bootstrap methods. Model performance was assessed using the Brier scaled score, and discrimination (c-statistic), and calibration (calibration plot).

RESULTS: Out of 1564 included patients, 118 were non-survivors (mortality rate 7.5%). The optimism-adjusted prediction model identified ISS≥ 50 (OR 7.4), age≥ 65 (OR 6.1), and severe head injury (OR 3.6) as strong predictors of mortality. Additional predictors with ORs between 2-3 included ISS 25-49, shock on admission, direct transport from the scene of injury, and severe comorbidity. The model demonstrated good to excellent discrimination with an optimism-adjusted c-statistic of 0.88.

CONCLUSIONS: This study developed and internally validated a prediction model for in-hospital mortality in major trauma patients with high-energy pelvic fractures using recent, single-center data, identifying key predictors. Notably, the severity of the pelvic fracture itself was not an independent predictor, indicating that pelvic injuries act primarily as markers of overall systemic injury severity. While optimism-adjusted odds from internal validation were attenuated, the findings remain comparable to the broader literature. External validation is recommended to assess the model’s transportability and broader applicability.

PMID:42224785 | DOI:10.1016/j.injury.2026.113387

Categories
Nevin Manimala Statistics

Correlation analysis between PFNA insertion point and neck-shaft angle in intertrochanteric fractures, and selection of PFNA (240 mm) under varying radius of femoral curvature

Injury. 2026 May 30;57(8):113382. doi: 10.1016/j.injury.2026.113382. Online ahead of print.

ABSTRACT

BACKGROUND: The Intramedullary fixation of unstable intertrochanteric fractures is usually performed using the proximal femoral nail anti-rotation (PFNA), but the problems of optimal insertion point of intramedullary nail and anterior cortical impingement have not been solved.Meanwhile, the variation of the femoral neck-shaft angle (NSA) may also result in the deviation of the PFNA’s insertion point. The purpose of this study to determine the ideal intramedullary nail placement position in the treatment of intertrochanteric fractures through the three-dimensional (3D) models, and to investigate the relationship between the differences in the RFC and the selection of intramedullary nail length when the ideal insertion position is established.

METHODS: We retrospectively collected the femur computed tomography (CT) scans of 200 adults, and the DICOM-format CT scan images of each patient were imported into Mimics software to creat virtual femoral models. By inserting the PFNA into the femoral model, we recorded the length of each femur model and the neck-shaft angle (NSA); the vertical distance between each bony landmark and the optimal insertion point were measured in the projected plane;the distance of the insertion point to the apex of the greater trochanter (L2); the distance of the insertion point to the vastus lateralis muscle ridge (L3); the distance of the insertion point to the insertion of piriformis tendon (L4); the vertical distance between the optimal insertion point and the apex of the trochanter in the sagittal plane (L5) and the vertical distance in the coronal plane (L6); the radius of femoral curvature (RFC).

RESULTS: The mean distance of the insertion point to the apex of the greater trochanter (L2) was 8.85±2.49 mm; the mean distance of the insertion point to the vastus lateralis muscle ridge (L3) was 21.88±3.57 mm; the mean distance of the insertion point to the insertion of piriformis muscle (L4) was 16.38±3.33 mm. The optimal insertion point for the intramedullary nail is primarily located in the anterolateral region of the apex of the femoral greater trochanter.the mean of the length of each femur model (L1) was 390.37±30.47 mm; the mean neck-shaft angle (NSA) was 128.01±7.59°; the mean radius of femoral curvature (RFC) was 841.88±125.64 mm;the mean vertical distance between the optimal insertion point and the apex of the trochanter in the sagittal plane (L5) was 5.51±2.05 mm. For the data captured above, L1, NSA, RFC, L5 of the intersex difference was significant (P < 0.05). There was a significant positive correlation (r2 =0.4851,p < 0.0001) between L5 and the NSA in males;there was a significant positive correlation(r2 =0.5267, p < 0.0001) between L5 and the NSA in females. The mean RFC of medullary cavities compatible and incompatible for the PFNA (intramedullary nail lengths of 240 mm) in males were 990.68±75.76 mm, 817.37±79.57 mm and in females were 1032.92±105.53 mm, 770.44±88.69 mm. For the data captured above,the effect of the RFC on whether the PFNA (intramedullary nail lengths of 240 mm) could match the medullary cavity in females and males was statistically significant. Meanwhile,the mean RFC of medullary cavities compatible for the PFNA (intramedullary nail lengths of 240 mm) was statistically significant between males and females (P < 0.05).

CONCLUSIONS: This study provide theoretical and data support for the optimal insertion point of the PFNA and the feasibility of inserting the longer PFNA in different femurs by the 3D simulation. Preoperative three-dimensional reconstruction was utilized to develop individualized treatment plans,and data from 3D model need to be combined with clinical experience for more safely inserting intramedullary nail into the medullary cavity. Further biomechanical tests and clinical studies are needed to verify its effects.

PMID:42224783 | DOI:10.1016/j.injury.2026.113382

Categories
Nevin Manimala Statistics

Robust contaminant plume estimation for risk assessment

J Hazard Mater. 2026 May 17;514:142407. doi: 10.1016/j.jhazmat.2026.142407. Online ahead of print.

ABSTRACT

Remediation costs are closely tied to the volume of contaminated soil; therefore, accurate plume estimation is critical for cost-effective risk management. However, most of the contaminated sites yield small-size and zero-inflated datasets, which present unique challenges for statistical analysis and plume estimation. These conditions severely limit the performance of traditional geostatistical approaches such as Kriging, which is highly sensitive to borehole number, spatial placement, and depth-specific replicates and may inadequately characterize plume features under strong heterogeneity and preferential flow. This study adapts the Integrated Nested Laplace Approximation with a Stochastic Partial Differential Equation (INLA-SPDE) framework to estimate PHC plume volume and mass (benzene and the CCME F1 fraction) and incorporates a tracer covariate to represent preferential flow effects. This study extends INLA-SPDE from general soil-property mapping to contaminant plume estimation. Using three synthetic plumes with known geometry and two real remediation sites, we compared the performance of the INLA-SPDE, Hurdle and Kriging models. Across 100 Monte Carlo runs, the INLA-SPDE model produced robust plume estimates with as few as five boreholes under conditions of high vertical resolution (3-4 incremental vertical samples), presence of at least one high-concentration borehole (>100 mg kg-1), and relatively continuous plume geometry. Moreover, this study found that addressing vertical heterogeneity is more effective for plume estimation than increasing borehole density. The tracer covariate notably improved predictions for the more hydrophobic and strongly sorbing CCME F1 fraction, with limited benefit for the more mobile benzene. Overall, this framework supports cost-effective remediation planning and regulatory decision-making under limited and zero-inflated data conditions.

PMID:42224766 | DOI:10.1016/j.jhazmat.2026.142407

Categories
Nevin Manimala Statistics

Fuzzy reinforcement learning synchronization of stochastic dynamic networks: An adaptive event-triggered strategy

Neural Netw. 2026 May 25;203:109180. doi: 10.1016/j.neunet.2026.109180. Online ahead of print.

ABSTRACT

This study delves into the challenge of achieving optimal synchronization control for time-delayed stochastic dynamic networks through fuzzy reinforcement learning (FRL), underpinned by a novel event-triggered strategy. Traditionally, optimal control is determined by solving the Hamilton-Jacobi-Bellman (HJB) equation. However, the strong nonlinearity and uncertain dynamics inherent in such systems render the solution of the HJB equation particularly arduous. To address this problem, an adaptive FRL algorithm is formulated within an identifier-critic-actor framework, which is derived from the negative gradient of simple adaptive functions. This approach yields a relatively straightforward optimal synchronization controller that eliminates the need for the persistent excitation condition. Subsequently, fuzzy logic systems (FLSs) are designed to approximate unknown uncertainties. A dynamics-estimating identifier and critic/actor FLSs are designed for performance evaluation and control signal generation, respectively. Moreover, a dynamic event-triggered optimal control (DETOC) is proposed. In this strategy, the triggering threshold is adaptively adjusted in real time, effectively reducing communication overhead and computational load. Notably, the optimal control policy is directly approximated by the FRL, bypassing the need to solve the HJB equation. Specifically, the value function is approximated by the critic FLSs for performance evaluation, while the control signal is directly generated by the actor FLSs based on the current system state. Finally, within the FRL-driven DETOC mechanism, the developed control method ensures that all synchronization error signals remain bounded. Its effectiveness is thoroughly verified and demonstrated through simulation examples.

PMID:42224750 | DOI:10.1016/j.neunet.2026.109180

Categories
Nevin Manimala Statistics

Endoscopic endonasal gross-total resection of pediatric craniopharyngioma invading the hypothalamus: rethinking the role of surgery

Neurosurg Focus. 2026 Jun 1;60(6):E3. doi: 10.3171/2026.2.FOCUS251085.

ABSTRACT

OBJECTIVE: The aim of this study was to assess whether endonasal endoscopic gross-total resection (GTR) of pediatric craniopharyngioma invading the hypothalamus is associated with increased morbidity compared with subtotal resection (STR).

METHODS: Medical records were reviewed for all pediatric patients (age ≤ 21 years) with craniopharyngioma removed via an endonasal endoscopic approach (EEA) between 2006 and 2024. The Sainte-Rose hypothalamic involvement score (HIS) was used to quantify hypothalamic invasion and to assess its correlation with outcome.

RESULTS: Overall, 23 patients (14 male, mean age 11.2 years) met inclusion criteria, with a mean follow-up of 5.6 years. Five, 9, and 9 patients had an HIS of 0, 1, and 2, respectively. Eleven patients underwent GTR, for which the HIS was 0 (n = 3), 1 (n = 4), and 2 (n = 4). GTR and HIS were not associated with new panhypopituitarism, postoperative diabetes insipidus, visual decline, delayed return to school, or decreased academic performance. Preoperative HIS was not significantly associated with BMI increase (HIS 0 [+13.17%], HIS 1 [+23.29%], and HIS 2 [+40.13%], p = 0.36), and neither was extent of resection (GTR [+6.30] and STR [+6.24]). Tumors recurred in 1 of 11 patients (9%) with GTR and 3 of 12 (25%) with STR, without a statistically significant difference.

CONCLUSIONS: In this small series of pediatric patients with craniopharyngioma removed with EEA, GTR was not associated with increased BMI or increased morbidity. There was an increase in BMI that was larger in higher preoperative HIS cases, indicating that morbidity might arise from tumor infiltration into the hypothalamus and not due to the aggressiveness of the surgery. The surgical strategy for treating pediatric craniopharyngioma might need to be reconsidered in the endoscopic era.

PMID:42224721 | DOI:10.3171/2026.2.FOCUS251085

Categories
Nevin Manimala Statistics

Clinical outcomes and delayed proton therapy following endoscopic endonasal resection of large and giant pediatric craniopharyngiomas

Neurosurg Focus. 2026 Jun 1;60(6):E4. doi: 10.3171/2026.2.FOCUS251137.

ABSTRACT

OBJECTIVE: The authors present a single-institution experience of patients with large and giant pediatric craniopharyngiomas (CPs) who underwent the extended endoscopic endonasal approach (EEA) at their institution over a 6-year period.

METHODS: Twenty-two consecutive patients ≤ 18 years of age with large (≥ 3 cm) or giant (≥ 5 cm) CPs were treated with EEA between 2016 and 2022 at Rady Children’s Health, San Diego. Clinical outcomes, rates of recurrence, and time to proton therapy were evaluated. Descriptive analyses and Fisher’s exact tests were used to compare categorical variables. A p value < 0.05 was considered statistically significant. The authors performed a literature review to compare their series to historical control outcomes.

RESULTS: Twenty-two patients presenting with large or giant adamantinomatous CP met inclusion criteria (10 males; mean age 9.3 years, range 3.4-17.8 years). Tumor size (mean 4.7 ± 1 cm) was classified as large (≥ 3 cm, n = 14) or giant (≥ 5 cm, n = 8). Twenty (91%) patients achieved gross-total resection, including 7 of 8 (88%) giant tumors and 13 of 14 (93%) large tumors. Of 12 (54%) patients who presented with visual impairment, 7 (58%) improved postoperatively, 4 (33%) remained unchanged, and 1 (8%) worsened postoperatively. Preoperatively, 21 (95%) had a normal motor examination and 20 (91%) had no cranial nerve deficit, while postoperatively, 1 patient developed a new motor deficit and 1 patient developed a new cranial nerve deficit. All patients included had some degree of neuroendocrine compromise postoperatively. Recurrence was observed in 4 of 8 (50%) giant tumors and 5 of 14 (36%) large tumors, with an overall recurrence rate of 41%. Six (27%) patients received proton therapy with a mean delay of 25.7 months (SD 12.4 months). There were no significant differences in clinical features or outcomes between large and giant tumors.

CONCLUSIONS: Endonasal resection of large and giant pediatric CPs is feasible in an experienced multidisciplinary center and can result in avoidance or significant delay of postoperative proton radiation therapy, minimizing the risk of associated neurological and endocrinological late effects. Resection rates and complication profiles are similar to those in the existing peer-reviewed literature.

PMID:42224719 | DOI:10.3171/2026.2.FOCUS251137

Categories
Nevin Manimala Statistics

An Interpretable Multidimensional Acoustic Physiology Map for COPD Using Digital Lung Sounds

Chronic Obstr Pulm Dis. 2026 Jun 1. doi: 10.15326/jcopdf.2025.0746. Online ahead of print.

ABSTRACT

BACKGROUND: Lung sound analysis may capture chronic obstructive pulmonary disease (COPD) related physiology, but many methods are hard to interpret clinically. We developed a multidimensional acoustic physiology map using four indices from digital lung sounds: median respiratory frequency (MRF), long-term energy index (LTEI), subharmonic index (SubH), and harmonicity deviation index (HDI).

METHODS: In this single-center retrospective study, 235 adults were classified as Healthy (n=62), Stable COPD (n=85), or COPD exacerbation (n=88). We analyzed 1,403 posterior thoracic 15-s recordings. Between-group differences in the four indices were tested with the Kruskal-Wallis test; when significant, Dunn post-hoc pairwise comparisons were performed with Holm adjustment. Multidimensional separation was evaluated in the z-scored four-index space using principal component analysis (PCA) and permutational multivariate analysis of variance. All tests were two-sided with P-value < 0.05 considered significant.

RESULTS: Overall group differences were significant for MRF (P-value =1.36×10⁻⁵), SubH (P-value =3.29×10⁻⁶), and HDI (P-value =4.74×10⁻⁸), whereas LTEI did not show a statistically significant overall effect (P-value =0.086). Post-hoc analyses indicated that MRF and SubH primarily separated Stable COPD from both Healthy and COPD exacerbation, while HDI primarily separated COPD exacerbation from Healthy and Stable COPD. Group distributions were visualized with triangular heatmaps and summarized in a three-axis model.

CONCLUSION: Complementary acoustic indices reflect distinct domains of COPD-related sound generation and transmission. Although standalone classification performance was limited, the proposed map provides an interpretable framework for digital auscultation phenotyping and future composite scoring.

PMID:42224716 | DOI:10.15326/jcopdf.2025.0746

Categories
Nevin Manimala Statistics

An Exploration of “Near-Miss” Events in Non-Operating Room Anesthesia Locations

Anesth Analg. 2026 Jun 1. doi: 10.1213/ANE.0000000000008131. Online ahead of print.

ABSTRACT

BACKGROUND: The Non-Operating Room Anesthesia (NORA) Safety Project is an exploratory prospective cohort study examining the incidence of near-miss events in NORA settings. While adverse events are typically well captured because of quality improvement programs that exist in most major health settings, near-miss events are often not documented, and safety standards are not well established. We present the results of a dedicated forum for near-miss reporting, including the incidence and type of near-miss events, as a first step toward understanding NORA near misses. By providing granular data from a highly engaged audience, we aimed to highlight evidence-backed opportunities for improving safety culture in the procedural landscape.

METHODS: We surveyed all in-hospital NORA cases excluding pediatrics, those performed in the intensive care unit, or the peri-partum areas. The day of data collection was rotated weekly. Providers surveyed included anesthesiologists, nurse anesthetists, and anesthesiology residents. REDCap survey was sent via secure e-mail. If a near-miss event occurred, respondents were asked to classify their events in the following categories: patient, provider, and/or environment.

RESULTS: Over a 42-week period, 1383 completed surveys were received in which 90 near-miss events were reported. Filtering for near misses reported on study data collection days and removing voluntary near misses from our total survey responses, our incidence rate was 3.22% (43/1336). The top near-miss locations were the magnetic resonance imaging suite (21/90 [23.3%]) and both neuro and body interventional radiology suites (15/90 [16.7%] and 11/90 [12.2%], respectively). The top near-miss category was environmental concerns (75/90 [83.3%]), and top subcategory was poor group dynamics (31/90 [34.4%]). Significant characteristics in the near-miss patients included older age (mean [±standard deviation {SD}] 60.8 [±16.9] vs 56.8 [±17.3] years [P = .03]), male (52/90, 57.8% vs 586/1293, 45.3% [P = .03]), higher American Society of Anesthesiologists (ASA) physical status (III and IV 65/90, 72.2% [P < .001]), longer procedure (119.8 ± 108.9 minutes vs 63.1 ± 72.2 minutes [P < .001]), emergent procedures (28/90, 31.1% vs 159/1293, 12.3% [P < .001]), and involvement of resident providers (36/90, 40.0% vs 234/1293, 18.1% [P < .001]). A Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression model confirmed a statistically significant relationship between the presence of a resident provider and near-miss events (odds ratio: 2.38 [P = .02]).

CONCLUSIONS: The NORA landscape is often remote in location, not as well-staffed or well-resourced, and with variable setups. With a systematic survey, we were able to capture near-miss events which would otherwise have been lost. These near-miss events cannot be evaluated in isolation. Future direction should focus on a systems-wide approach in safety surveillance that facilitates multidisciplinary collaboration and reporting. Our findings demonstrate near misses as an opportunity-to improve in-hospital access to care, promote quality assurance, and ultimately, make NORA a safer place.

PMID:42224707 | DOI:10.1213/ANE.0000000000008131

Categories
Nevin Manimala Statistics

Personalized Digital Health Solutions to Increasing Diabetes-Related Knowledge and Behavioral Outcomes: Results From a Randomized Controlled Trial

JMIR Diabetes. 2026 Jun 1;11:e87364. doi: 10.2196/87364.

ABSTRACT

BACKGROUND: The prevalence of diabetes in the United States necessitates investigations into how to better enable adults with type 2 diabetes mellitus (T2DM) to manage their health using easy-to-access and personally adaptable technologies. The ubiquity of digital content further justifies the need to consider the impact of different digital intervention modalities in diabetes self-care activities.

OBJECTIVE: This study aimed to compare the impact of 2 digital diabetes self-care education programs delivered separately and in combination to adults with T2DM across various settings in Texas.

METHODS: We conducted a randomized controlled trial in Texas with 188 adults with T2DM to assess whether 2 different interventions alone (Virtual Making Moves with Diabetes or Technology-Based Education and Support) or in combination (Virtual Making Moves with Diabetes followed by Technology-Based Education and Support) improved multiple outcomes associated with diabetes self-management. We used several estimation techniques, including generalized estimating equations, to account for multiple factors simultaneously.

RESULTS: All 3 digital intervention modalities led to statistically significant improvements in diabetes-related confidence, distress, and self-care behaviors, with significance from baseline through 6 months and supported by moderate to strong effect sizes (Cohen d) ranging from 0.446 to 0.827 at 3-month follow-up versus baseline and from 0.538 to 0.888 at 6-month follow-up versus baseline. No statistically significant superiority was observed among the intervention modalities. Higher self-care behaviors were significantly associated with higher baseline confidence and lower distress. Those in the most disadvantaged positions (less education, less financial stability, and no health insurance) showed significantly larger improvement in self-care behaviors.

CONCLUSIONS: Given the benefits associated with this study’s interventions, we suggest future work to further develop digital content that can be tailored to individuals with T2DM to help them manage their chronic conditions in a cost-effective manner.

PMID:42224653 | DOI:10.2196/87364