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Nevin Manimala Statistics

Evaluation of the Feasibility of Transfusing Leukocyte Depletion Filter-Processed Intraoperative Cell Salvage Blood in Metastatic Spine Tumor Surgery: Protocol for a Non-Randomized Study

JMIR Res Protoc. 2025 Jan 17;14:e54609. doi: 10.2196/54609.

ABSTRACT

BACKGROUND: Metastatic spine tumor surgery (MSTS) is often complex and extensive leading to significant blood loss. Allogeneic blood transfusion (ABT) is the mainstay of blood replenishment but with immune-mediated postoperative complications. Alternative blood management techniques (salvaged blood transfusion [SBT]) allow us to overcome such complications. Despite widespread use of intraoperative cell salvage (IOCS) in oncological and nononcological surgical procedures, surgeons remain reluctant to use IOCS in MSTS.

OBJECTIVE: This study aims to analyze safety of IOCS-leukocyte depletion filter (LDF)-processed blood transfusion for patients undergoing MSTS by assessing clinical outcomes-disease progression: tumor progression and overall survival. This study evaluates whether reinfusion of IOCS-LDF-processed blood reduces ABT rates in patients undergoing MSTS by sorting patients undergoing MSTS who require ABT into patients who consent to receive or not receive SBT.

METHODS: We aim to recruit a minimum of 90 patients-30 patients for SBT, 30 patients for ABT, and 30 patients with no blood transfusion. SBT and ABT form the 2 experimental arms, whereas no blood transfusion forms the control cohort. Available patient data will be reviewed to determine tumor burden secondary to metastasis and postoperative survival and disease progression, improvement in pain, and neurological and ambulatory status. Data collected will be studied postoperatively at 3, 6, 12, 24, 36, and 48 months or until demise, whichever occurs first. Outcomes of the experimental groups will be compared with those of the control group. Outcomes will be analyzed using 1-way ANOVA and Fisher exact test. The Kaplan-Meier curve and a log-rank test will be used to study overall survival. A multivariate and competing risk analysis will be used to study the association between blood transfusion type and tumor progression. All statistical analyses will be done using Stata Special Edition 14.0 (StataCorp LP).

RESULTS: This is the largest clinical study on use of IOCS in MSTS from various primary malignancies to date. It will provide significant clinical evidence regarding the safety and applicability of IOCS in MSTS. It will help reduce use of ABT, improving overall blood management of patients undergoing MSTS. A limitation of this study is that not all patients undergoing MSTS will survive for the follow-up period (4 years), theoretically leading to underreporting of disease progression. Study commenced in 2016 and patient recruitment continued till 2019. As of September 2019, we have collected operative data on 140 patients. However, the 2-year outcomes of about 40.0% (56/140) of patients are in the process of collection. The study is aimed to be published in the years 2023-2024.

CONCLUSIONS: Results will be disseminated via peer-reviewed publications, paving the way for future studies.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/54609.

PMID:39823595 | DOI:10.2196/54609

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Nevin Manimala Statistics

Hydrogel coils in intracranial aneurysm treatment: a multicenter, prospective, randomized open-label trial

J Neurosurg. 2025 Jan 17:1-7. doi: 10.3171/2024.8.JNS232369. Online ahead of print.

ABSTRACT

OBJECTIVE: Studies have demonstrated the effectiveness of hydrogel-coated coils (HGCs) to achieve the composite endpoint of decreased recanalization rates and greater safety. Herein, the authors aimed to assess the true ability of second-generation HGCs to prevent recanalization.

METHODS: This randomized controlled study, the HYBRID (Hydrocoil Versus Bare Platinum Coil in Recanalization Imaging Data) trial, comparing HGCs with bare platinum coils (BPCs), was conducted in 43 Japanese institutions. The aneurysm diameter range was 7-20 mm. HGCs were used in 4 patients in the BPC arm, and at least one HGC was used in each patient in the HGC arm, excluding 3 patients. Additionally, an HGC length ≥ 50% of the length of all the coils used was strongly recommended. The primary endpoint was recanalization 1 year after embolization, according to core laboratory evaluation. Angiographic change was also classified as further thrombosis, unchanged, or recanalization. Changes in cases with both initial and 1-year posttreatment angiographic images were compared. In the post hoc analysis, major recanalization was defined as any change, from complete occlusion or a neck remnant at the end of the procedure to body filling (BF) on the 1-year posttreatment angiogram or any increase in the size of BF in patients with BF at the end of the procedure, and its rate was compared between the two treatment arms.

RESULTS: Recruitment ended when 432 patients were randomized; 217 and 215 patients were allocated to the HGC and BPC arms, respectively. The recanalization rates in the HGC and BPC arms were 3.3% and 7.1%, respectively (risk difference -3.8%, 95% CI -8.6 to 0.5), with no statistically significant difference (p = 0.083). Regarding aneurysm occlusion within 1 year, there was significantly more thrombosis and less recanalization in the HGC group (p = 0.043). The major recanalization rates were 2.3% and 6.6% in the HGC and BPC arms, respectively, with a significant difference between the two (p = 0.036).

CONCLUSIONS: The study results did not confirm the effectiveness of second-generation HGCs using recanalization imaging data. However, these coils may induce more thrombosis and less recanalization for medium-sized cerebral aneurysms. Clinical trial registration no.: UMIN000006748 (www.umin.ac.jp/ctr/).

PMID:39823584 | DOI:10.3171/2024.8.JNS232369

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Nevin Manimala Statistics

Designing and clinical application of a 3D-printed personalized model of a radiofrequency needle guide with a maxillary fixator for puncture of the gasserian ganglion for trigeminal neuralgia treatment

J Neurosurg. 2025 Jan 17:1-7. doi: 10.3171/2024.8.JNS24196. Online ahead of print.

ABSTRACT

OBJECTIVE: The purpose of this study was to present a newly designed 3D-printed personalized model (3D PPM) of a radiofrequency needle guide with a maxillary fixation for gasserian ganglion (GG) puncture.

METHODS: Implementation of 3D CT-guided radiofrequency therapy of the GG with and without use of 3D PPM was analyzed. The following parameters were assessed: radiation time, dose area product, air kerma reference point, pain severity during the puncture needle insertion, prosopalgia regression degree (according to visual analog scale) and the severity of facial numbness (according to the Barrow Neurological Institute scale) in the early postoperative period, and postpuncture complications.

RESULTS: Pain severity reduction was equivalent in both groups, and postoperative facial numbness was not observed. A statistically significant difference in radiation exposure parameters was revealed: radiation time was 181.67 ± 2.99 and 310.50 ± 18.46 seconds (p < 0.001); dose area product was 950.97 ± 115.41 and 1545.48 ± 135.04 µGy*m2 (p < 0.005); and the air kerma reference point was 114.53 ± 16.81 and 190.88 ± 17.48 mGy (p < 0.005) in groups 1 and 2, respectively. The severity of pain during a puncture needle insertion was assessed as mild in 62.5% and 25%, moderate in 37.5% and 41.6%, and severe in 0% and 33.3% of patients in groups 1 and 2, respectively. No serious perioperative complications were observed.

CONCLUSIONS: The use of 3D PPM allows for controlled needle insertion, reducing the radiation dose to the patient and medical staff, reducing pain during a puncture needle insertion into the area of the foramen ovale, and minimizing the risk of postoperative complications.

PMID:39823582 | DOI:10.3171/2024.8.JNS24196

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Nevin Manimala Statistics

Prevalence of Pulmonary Embolism in COVID-19 Positive Critically Ill Children

Crit Care Explor. 2025 Jan 15;7(1):e1206. doi: 10.1097/CCE.0000000000001206. eCollection 2025 Jan 1.

ABSTRACT

OBJECTIVES: To investigate the prevalence of pulmonary embolism (PE) in children admitted to critical care diagnosed with COVID-19 infection.

DESIGN: Retrospective database study.

SETTING: Data reported to the Virtual Pediatric Systems, 2018-2021.

PATIENTS: Patients 28 days to younger than 18 years old, admitted to a PICU with either PE or COVID-19 diagnoses.

INTERVENTIONS: None.

MEASUREMENTS AND MAIN RESULTS: Among the PE-positive subgroups, from January 2020 to December 2021, 78 patients (14%) had an acute COVID-19 infection. The prevalence of PE pre-pandemic period (2018-2019) was 0.19% and for pandemic period (2020-2021) was 0.26% (p < 0.001). During the pandemic period, the prevalence of PE for COVID-negative patients was 0.21% and for COVID-positive patients was 1.01% (p < 0.001). The result shows that the chance to develop PE for COVID-positive patients is 4.8 times that for COVID-negative patients during the pandemic. In the subgroup of the PE-positive patients, 55.1% were Black or African American in the COVID-positive group and 19% in the COVID-negative group (p < 0.001). A multivariable logistic regression showed that race was an independent risk factor for COVID in PE-positive patients.

CONCLUSIONS: Our study demonstrates a significant increase in the prevalence of PE among pediatric patients admitted to PICUs during the COVID-19 pandemic compared with pre-pandemic. Our study indicates that COVID-positive patients are 4.8 times more likely to develop PE than COVID-negative patients. Additionally, the study highlights substantial racial disparities in the prevalence of PE, with Black or African American patients being disproportionately affected.

PMID:39823551 | DOI:10.1097/CCE.0000000000001206

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Nevin Manimala Statistics

Multivariate Analysis of the Influence of Primary and Secondary Stability in Relation to Dental Implant Characteristics: A Clinical Study of 445 Implants

Int J Oral Maxillofac Implants. 2025 Jan 17;0(0):1-20. doi: 10.11607/jomi.11254. Online ahead of print.

ABSTRACT

PURPOSE: Implant stability (IS) is crucial to the success of any implant-based therapy. The present work aimed to determine the relationship between primary and secondary stability and a range of variables.

MATERIAL AND METHODS: This retrospective cohort study included a total of 169 patients, who received 445 dental implants. A case history for each participant was created. Data collection included each patient’s age, implant design, length and diameter, bone type, and surgical factors. Implant Stability Quotient (ISQ) values were measured at baseline (T0: primary stability) and T1 (secondary stability). To calculate the ISQ values at T0, T1 and their differences in the variables age, design, length and diameter, a multivariate ANOVA test was performed to determine which variables acted as confounding factors and to adjust the ISQ values to these variables.

RESULTS: The main variables age, design, length and diameter were adjusted to their confounding factors. Regarding primary (T0) and secondary (T1) stability, statistically significant differences (p<0.05) were only found in implant diameter, with the larger the diameter, the greater the stability. In all the other main variables, no statistically significant differences were found for primary and secondary stability.

CONCLUSIONS: It may be concluded, within the limitations of the study, that the implant diameter variable is the one that significantly affects the primary and secondary stability of the implant.

PMID:39823542 | DOI:10.11607/jomi.11254

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Nevin Manimala Statistics

Optimization of HIV drugs through MCDM technique Analytic Hierarchy Process(AHP)

PLoS One. 2025 Jan 17;20(1):e0316617. doi: 10.1371/journal.pone.0316617. eCollection 2025.

ABSTRACT

Topological indices are crucial tools for predicting the physicochemical and biological features of different drugs. They are numerical values obtained from the structure of chemical molecules. These indices, particularly the degree-based TIs are a useful tools for evaluating the connection between a compound’s structure and its attributes. This study addresses the research problemof how to optimize drug design for HIV treatment using degree-based topological indices. The need for safer and more effective medicines for HIV is further emphasized by the advent of drug resistance and severe negative effects from current therapies. Employing degree-based graph invariants, the study investigates 13 HIV drugs by applying a quantitative structure-property relationship (QSPR) technique to associate their molecular structures with their physical properties. HIV drugs are ranked using the Analytic Hierarchy Process (AHP) according to specific parameters. The findings of the study demonstrate how well these approaches can determine the most effective possible drug combinations and designs, offering insightful information in developing improved HIV treatments.

PMID:39823527 | DOI:10.1371/journal.pone.0316617

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Nevin Manimala Statistics

Adaptation optimizes sensory encoding for future stimuli

PLoS Comput Biol. 2025 Jan 17;21(1):e1012746. doi: 10.1371/journal.pcbi.1012746. Online ahead of print.

ABSTRACT

Sensory neurons continually adapt their response characteristics according to recent stimulus history. However, it is unclear how such a reactive process can benefit the organism. Here, we test the hypothesis that adaptation actually acts proactively in the sense that it optimally adjusts sensory encoding for future stimuli. We first quantified human subjects’ ability to discriminate visual orientation under different adaptation conditions. Using an information theoretic analysis, we found that adaptation leads to a reallocation of coding resources such that encoding accuracy peaks at the mean orientation of the adaptor while total coding capacity remains constant. We then asked whether this characteristic change in encoding accuracy is predicted by the temporal statistics of natural visual input. Analyzing the retinal input of freely behaving human subjects showed that the distribution of local visual orientations in the retinal input stream indeed peaks at the mean orientation of the preceding input history (i.e., the adaptor). We further tested our hypothesis by analyzing the internal sensory representations of a recurrent neural network trained to predict the next frame of natural scene videos (PredNet). Simulating our human adaptation experiment with PredNet, we found that the network exhibited the same change in encoding accuracy as observed in human subjects. Taken together, our results suggest that adaptation-induced changes in encoding accuracy prepare the visual system for future stimuli.

PMID:39823517 | DOI:10.1371/journal.pcbi.1012746

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Nevin Manimala Statistics

Flexible and modular latent transition analysis-A tutorial using R

PLoS One. 2025 Jan 17;20(1):e0317617. doi: 10.1371/journal.pone.0317617. eCollection 2025.

ABSTRACT

Latent transition analysis (LTA) is a useful statistical modelling approach for describe transitions between latent classes over time. LTA may be characterized in terms of prevalence at each time point and through transition probabilities over time. Investigating predictors of these transitions is often of key interest. Currently, LTA can mostly be carried out using commercial and specialized software and only to some limited extent by means of open source statistical software. This tutorial demonstrates a flexible and modular approach for LTA, providing a powerful alternative using R through a combination latent class analysis and multiple logistic regression models. This approach has several advantages from a modelling perspective, as demonstrated through revisiting a previously conducted LTA, published in PLoS ONE recently. In short, results were very similar to the original analysis using commercial software although some additional novel results were also obtained. The proposed alternative approach offers more options in terms of choice of effect measures, model assumptions such as hierarchical structures and covariate adjustment, and differential handling of missing data. R code snippets are provided in the tutorial. A detailed accompanying script is also provided for full reproducibility.

PMID:39823505 | DOI:10.1371/journal.pone.0317617

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Nevin Manimala Statistics

Does financial asset allocation term structure affect audit fees? Evidence from China

PLoS One. 2025 Jan 17;20(1):e0317671. doi: 10.1371/journal.pone.0317671. eCollection 2025.

ABSTRACT

The financialization of real enterprises presents a dilemma for China’s economic development. This study examines the impact of the financial asset allocation term structure on audit fees using a sample of Chinese A-share listed companies from 2009 to 2019. It also investigates the mediating role of financial risk and the moderating role of independent director characteristics. The results indicate that higher long-term financial assets is associated with higher audit fees, while short-term financial assets show no significant relationship with audit fees. These findings remain robust after several tests. Financial risk mediates the relationship between long-term financial assets and audit fees. Furthermore, among the characteristics of independent directors, the proportion of female independent directors and those with a financial background negatively moderate the relationship between long-term financial assets and audit fees, while independent directors with an overseas background and academic credentials positively moderate this relationship. Additional analysis reveals that firm size and financing constraints exhibit heterogeneity in their effects. This study contributes to the literature by enhancing our understanding of the factors influencing firms’ financial asset allocation and audit fees, and by expanding the literature on the financial risk and characteristics of independent directors.

PMID:39823494 | DOI:10.1371/journal.pone.0317671

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Nevin Manimala Statistics

Used economy market insight: Sailboat industry pricing mechanism and regional effects

PLoS One. 2025 Jan 17;20(1):e0315101. doi: 10.1371/journal.pone.0315101. eCollection 2025.

ABSTRACT

With the popularity of circular economy around the world, transactions in the second-hand sailboat market are extremely active. Determining pricing strategies and exploring their regional effects is a blank area of existing research and has important practical and statistical significance. Therefore, this article uses the random forest model and XGBoost algorithm to identify core price indicators, and uses an innovative rolling NAR dynamic neural network model to simulate and predict second-hand sailboat price data. On this basis, we also constructed a regional effect multi-level model (RE-MLM) from three levels: geography, economy and country to clarify the impact of geographical areas on sailboat prices. The research results show that, first of all, the price of second-hand sailboats fluctuates greatly, and the predicted value better reflects the overall average price level. Secondly, there are significant regional differences in price levels across regions, economies and ethnic groups. Therefore, the price of second-hand sailboats is affected by many factors and has obvious regional effects. In addition, the model evaluation results show that the model constructed in this study has good accuracy, validity, portability and versatility, and can be extended to price simulation and regional analysis of different markets in different regions.

PMID:39823493 | DOI:10.1371/journal.pone.0315101