Tag: nevin manimala

Cell Rep. 2023 Apr 13;42(4):112386. doi: 10.1016/j.celrep.2023.112386. Online ahead of print.

ABSTRACT

The input-output transformation of individual neurons is a key building block of neural circuit dynamics. While previous models of this transformation vary widely in their complexity, they all describe the underlying functional architecture as unitary, such that each synaptic input makes a single contribution to the neuronal response. Here, we show that the input-output transformation of CA1 pyramidal cells is instead best captured by two distinct functional architectures operating in parallel. We used statistically principled methods to fit flexible, yet interpretable, models of the transformation of input spikes into the somatic “output” voltage and to automatically select among alternative functional architectures. With dendritic Na⁺ channels blocked, responses are accurately captured by a single static and global nonlinearity. In contrast, dendritic Na⁺-dependent integration requires a functional architecture with multiple dynamic nonlinearities and clustered connectivity. These two architectures incorporate distinct morphological and biophysical properties of the neuron and its synaptic organization.

PMID:37060564 | DOI:10.1016/j.celrep.2023.112386

Haemophilia. 2023 Apr 15. doi: 10.1111/hae.14790. Online ahead of print.

NO ABSTRACT

PMID:37060543 | DOI:10.1111/hae.14790

Forensic Sci Med Pathol. 2023 Apr 15. doi: 10.1007/s12024-023-00625-2. Online ahead of print.

ABSTRACT

Human skull has always been used for victim identification in forensic odontology. The gender-dimorphic bone of the skull is the mandible. The gonial angle has frequently been investigated for gender estimation with variable results and requires further exploration. We aim to compare the efficacy of gonial angle estimation by ancient methods of lateral cephalometric tracing compared with more recent digital analysis methods for gender estimation in the Indian population. Lateral cephalograms of 191 (96 M and 95F) cases above the age of 17 years were retrieved. Cephalometric analysis of gonial angle on radiographs was done using both manual cephalometric tracing method and digitally using Adobe Photoshop software. The results were subjected to statistical analysis for evaluation. The mean gonial angle was higher in females (125.05; 123.77 and 125.28) than in males (122.583; 121.715 and 122.008) using both manual and digital methods. On applying the logistical regression analysis (LRA), the digital method showed the highest gender estimation accuracy of 60.7% followed by Burstone’s analysis (57.1%) and manual conventional analysis (56.5%). Burstone’s analysis (57.9%) correctly identified increased females, whereas digital analysis (62.5%) and manual conventional analysis (59.4%) accurately recognised increased males. The present study showed a higher gender estimation accuracy using digital methods as compared to manual methods, but it still lacks the credibility to be used as a sole factor for predicting the gender of an individual. Hence, a cumulative factor must be taken into consideration for gender identification which would provide more promising results.

PMID:37060537 | DOI:10.1007/s12024-023-00625-2

Egypt Heart J. 2023 Apr 15;75(1):28. doi: 10.1186/s43044-023-00355-4.

ABSTRACT

BACKGROUND: ST-segment elevation myocardial infarction (STEMI) is usually caused by a rupture in the atherosclerotic plaque, followed by platelet aggregation which ultimately leads to acute coronary artery occlusion. So far, few studies have investigated the effect of maintenance dose of Eptifibatide (glycoprotein IIb/IIIa inhibitor) in STEMI patients who underwent primary percutaneous coronary intervention (PPCI). Therefore, in this study, we investigated the effect of maintenance dose of Eptifibatide in patients with STEMI who underwent PPCI. 264 patients who had acute chest pain suggestive of STEMI were entered in the study. All patients received the same dose of bolus dose of Eptifibatide in the cardiac catheterization laboratory. Then the patients were randomly divided into two groups, one group (n = 147) received a maintenance dose of intravenous Eptifibatide (infusion of 2 μg/kg/min) and the other group (n = 117) did not receive this treatment. Standard medical treatment of STEMI after PPCI was performed based on guidelines and the same in both groups. All patients were evaluated 1, 2, and 3 months after the start of treatment in terms of predicted outcomes.

RESULTS: The occurrence of 3-month major adverse cardiovascular events (MACE) between the case and control groups did not have a statistically significant difference (28.6% versus 35.0%; P value: 0.286). Also, investigations showed that the rate of re-infarction (P value: 0.024) and target lesion revascularization (P value: 0.003) was significantly lower in the group that received Eptifibatide infusion.

CONCLUSIONS: Eptifibatide maintenance dose infusion in patients who undergo PPCI in the context of STEMI, does not significantly reduce MACE, although it does significantly reduce re-infarction and target lesion revascularization. It also does not increase the risk of bleeding and cerebrovascular events.

PMID:37060533 | DOI:10.1186/s43044-023-00355-4

Qual Life Res. 2023 Apr 15. doi: 10.1007/s11136-023-03420-2. Online ahead of print.

ABSTRACT

PURPOSE: To generate a normative profile for the EQ-5D-5L dimensions, EQ-5D-5L index, and EQ-VAS scores of the general Thai population and to examine the associations between sociodemographic characteristics and their norm-based scores.

METHODS: Data from 2019 general Thai samples were employed to estimate the norm-based scores elicited using the Thai EQ-5D-5L value set. Descriptive statistics were used to estimate the norm-based scores stratified by gender and six age bands to obtain the normative profile for the general Thai population. Multivariable logistic and Tobit regression models were used to investigate the relationships between sociodemographic characteristics and EQ-5D-5L dimensions, EQ-5D-5L index, and EQ-VAS scores.

RESULTS: The mean EQ-5D-5L index and EQ-VAS scores were 0.931 and 82.3, respectively. Approximately 88.9% of the participants reported 19 out of 3125 (3%) possible health states. The odds of having problems with mobility was greatest for the sample aged ≥ 65 years and declined with decreasing age. Women, samples with advancing age, and those with a household income of ≤ 10,000 Baht/month and fair and poor health perceptions were more likely to report a lower EQ-5D-5L index. Furthermore, advanced age and fair and poor health perception were significantly associated with lower EQ-VAS scores.

CONCLUSION: The EQ-5D-5L population norms were established as the benchmark for both EQ-5D-5L index and EQ-VAS scores for the general Thai population. This is expected to support the health service research and inform policymakers on the allocation of limited healthcare resources.

PMID:37060516 | DOI:10.1007/s11136-023-03420-2

Int Ophthalmol. 2023 Apr 15. doi: 10.1007/s10792-023-02693-3. Online ahead of print.

ABSTRACT

PURPOSE: To determine the keratometry measurement agreement using Sirius corneal topography and Scheimpflug camera, Tomey corneal topography, Topcon autokeratorefractometer, and Tomey OA-2000 optical biometry in eyes with different severity of keratoconus.

METHODS: In this retrospective study 115 eyes in different stages of keratoconus were divided into 2 groups of mild (stage 1), and moderate to severe keratoconus (stages 2, 3), according to the Amsler-Krumeich classification. Keratometry measurements were obtained using Sirius corneal topography and Scheimpflug camera (phoenix V3.7.01.08), Tomey corneal topography (Tms SW22C-200S-200), Topcon autokeratorefractometer (KR8900), and Tomey optical biometry (OA-2000 Opt-Meas V.4E).

RESULTS: In group 1 All devices demonstrated fair agreement in average keratometry values (95% LoA range > 1 D). However, it was poorer for group 2 (95% LOA range > 3 D). In group 1 Bonferroni test revealed statistically significant difference in average K readings among (Topcon autokeratorefractometer 8900 and Tomey OA-2000 biometry, p < 0.01), and between (Tomey topography and Topcon autokeratorefractometer, p < 0.05). Also in group 2 significant difference was observed in the average keratometry of the most instruments (p < 0.01) except for the (Tomey topography and Topcon autokeratorefractometer) and (Tomey topography and Tomey OA-2000 biometry.

CONCLUSIONS: According to our investigation in mild, moderate and severe keratoconus the agreement in K reading between Topcon autokeratorefractometer, OA-2000 optical biometry, Sirius topography and Tomey topography was poor. The agreement declines especially in the steep meridian and it was not acceptable clinically. These devices should not be applied interchangeably.

PMID:37060496 | DOI:10.1007/s10792-023-02693-3

Funct Integr Genomics. 2023 Apr 15;23(2):125. doi: 10.1007/s10142-023-01055-7.

ABSTRACT

Although many genes may serve as reference genes, they may cause different expression patterns by selecting different reference genes because no single gene is expressed consistently in all tested tissues of an organism under all environmental and developmental conditions. Thus, it is becoming increasingly important and necessary to identify suitable reference genes before performing gene expression analysis. Currently, there are several computational tools available for evaluating the stability of candidate reference genes. These tools are based on different statistical algorithms and may produce different rankings in stability within the same reference gene study. To date, the RefFinder is the only web-based tool available for comparing and evaluating housekeeping genes as candidates to be reference genes. In this tool, we integrated the four currently available computational programs (geNorm, NormFinder, BestKeeper, and the comparative ΔCt method) into a web-based tool for evaluating the stability and reliability of reference genes. According to the gene stability rankings derived from the four programs, we assigned an appropriate weight to each gene and calculated the geometric mean of weights for the final rankings. Aside from the overall ranking, a single program or combination of the four programs can be selected for evaluating the ranking of candidate reference genes. This tool has been widely used and validated by many research laboratories around the world. You may use this tool at http://www.heartcure.com.au/reffinder/ or https://blooge.cn/RefFinder/ . You can also download this algorithm program from https://github.com/fulxie/RefFinder and setup on your own computer. RefFinder is developed by PHP. Users can deploy it to a Php-based server (Apache + PHP) and run it.

PMID:37060478 | DOI:10.1007/s10142-023-01055-7

J Cancer Res Clin Oncol. 2023 Apr 15. doi: 10.1007/s00432-023-04751-w. Online ahead of print.

ABSTRACT

BACKGROUND: Acute myeloid leukaemia carries the risk of complications associated with dysfunctions in haemostasis system. The purpose of this study was to investigate the factors associated with the risk of bleeding in patients with newly diagnosed acute myeloid leukaemia (AML).

METHODS: This study involved the methods of immunoenzymatic analysis and classical coagulation studies. The number of biochemical parameters important for establishing coagulative dysfunction in acute myeloid leukaemia was determined, the main ones being the level of von Willebrand factor, the Ristocetin-cofactor activity of von Willebrand factor and factor VIII activity, prothrombin time, platelet count, and fibrinogen concentration.

RESULTS: According to the results of the present study, the reduced activity of von Willebrand factor in patients with AML was associated with severe bleeding. The authors observed an increase in the number of platelets count in patients with AML who experienced haemorrhages compared to patients with no bleeding signs. The study also established an increase in the concentration of fibrinogen in cancer patients, compared to the control sample. Symptoms and quantitative indicators for diagnosing the severity of haemorrhagic syndrome were grouped. The authors considered the advantages and disadvantages of many therapeutic preparations and focussed on specific markers of activated haemorrhage-predicting platelets.

CONCLUSION: Further studies concern the search for effective markers and therapeutic approaches to minimize haemorrhagic syndrome. The results were statistically processed using the functions ANOVA, t test, CORREL, determination of the value of reliability, and mean square deviation.

PMID:37060474 | DOI:10.1007/s00432-023-04751-w

Eur Radiol. 2023 Apr 15. doi: 10.1007/s00330-023-09625-w. Online ahead of print.

ABSTRACT

OBJECTIVES: The prognostic value of subventricular zone distance (SVD) is unclear because of different definitions and lack of evaluation of clinical survival models. The aim of this study was to define SVD and evaluate its prognostic value in a survival nomogram for glioblastoma.

METHODS: This retrospective study included 158 (SVD biomarker) from historical glioblastoma patients and 187 (survival modeling) with IDH-wild type glioblastoma from a prospective registry (NCT02619890). SVD was assessed by two radiologists: definition 1, the distance between the tumor edge to subventricular zone (SVZ); definition 2, the distance between the tumor centroid to SVZ; definition 3, enhancement at the ventricular wall. The associations between SVD and overall survival (OS) were evaluated using multivariable Cox proportional hazards regression analysis. Performance of an updated SVD survival model was compared with that of the Radiation Therapy Oncology Group (RTOG) 0525 nomogram.

RESULTS: SVD according to both definition 1 (hazard ratio [HR]: 0.97, 95% CI: 0.94-0.99; p = .011) and definition 2 (HR: 0.96, 0.94-0.98, p < .001) was adversely associated with OS. Definition 1 was adversely associated with PFS (HR: 0.96, 0.94-0.99, p = .008) and showed the highest reproducibility (intraclass correlation coefficient, 0.90). The SVD-updated model showed similar to better performance than the RTOG model for predicting OS of up to 3 years (AUC: 0.735-0.738 vs. 0.687-0.708), with higher time-dependent specificity for 1-year (89.9% vs. 70.6%) and 3-year OS (93.3% vs. 80.0%).

CONCLUSION: SVZ distance is an independent adverse prognostic factor in patients with IDH-wild type glioblastoma. Updating the survival model with SVZ provides better time-dependent specificity and reproducibility.

KEY POINTS: • Subventricular zone distance (SVD) measurement from tumor edge showed high reproducibility. • Longer SVD was independently associated with longer overall survival. • Adding SVD improved time-dependent specificity for survival model in a prospective registry.

PMID:37060448 | DOI:10.1007/s00330-023-09625-w

Eur Radiol. 2023 Apr 15. doi: 10.1007/s00330-023-09573-5. Online ahead of print.

ABSTRACT

OBJECTIVE: To develop and validate a deep learning (DL) model based on CT for differentiating bone islands and osteoblastic bone metastases.

MATERIALS AND METHODS: The patients with sclerosing bone lesions (SBLs) were retrospectively included in three hospitals. The images from site 1 were randomly assigned to the training (70%) and intrinsic verification (10%) datasets for developing the two-dimensional (2D) DL model (single-slice input) and “2.5-dimensional” (2.5D) DL model (three-slice input) and to the internal validation dataset (20%) for evaluating the performance of both models. The diagnostic performance was evaluated using the internal validation set from site 1 and additional external validation datasets from site 2 and site 3. And statistically analyze the performance of 2D and 2.5D DL models.

RESULTS: In total, 1918 SBLs in 728 patients in site 1, 122 SBLs in 71 patients in site 2, and 71 SBLs in 47 patients in site 3 were used to develop and test the 2D and 2.5D DL models. The best performance was obtained using the 2.5D DL model, which achieved an AUC of 0.996 (95% confidence interval [CI], 0.995-0.996), 0.958 (95% CI, 0.958-0.960), and 0.952 (95% CI, 0.951-0.953) and accuracies of 0.950, 0.902, and 0.863 for the internal validation set, the external validation set from site 2 and site 3, respectively.

CONCLUSION: A DL model based on a three-slice CT image input (2.5D DL model) can improve the prediction of osteoblastic bone metastases, which can facilitate clinical decision-making.

KEY POINTS: • This study investigated the value of deep learning models in identifying bone islands and osteoblastic bone metastases. • Three-slice CT image input (2.5D DL model) outweighed the 2D model in the classification of sclerosing bone lesions. • The 2.5D deep learning model showed excellent performance using the internal (AUC, 0.996) and two external (AUC, 0.958; AUC, 0.952) validation sets.

PMID:37060446 | DOI:10.1007/s00330-023-09573-5