Tag: statistics

Sci Rep. 2022 Jul 20;12(1):12430. doi: 10.1038/s41598-022-16689-z.

ABSTRACT

This paper considers a linear regression model with stochastic restrictions,we propose a new mixed Kibria-Lukman estimator by combining the mixed estimator and the Kibria-Lukman estimator.This new estimator is a general estimation, including OLS estimator, mixed estimator and Kibria-Lukman estimator as special cases. In addition, we discuss the advantages of the new estimator based on MSEM criterion, and illustrate the theoretical results through examples and simulation analysis.

PMID:35859042 | DOI:10.1038/s41598-022-16689-z

Sci Rep. 2022 Jul 20;12(1):12422. doi: 10.1038/s41598-022-16798-9.

ABSTRACT

To compare the quality of CT images of the lung reconstructed using deep learning-based reconstruction (True Fidelity Image: TFI ™; GE Healthcare) to filtered back projection (FBP), and to determine the minimum tube current-time product in TFI without compromising image quality. Four cadaveric human lungs were scanned on CT at 120 kVp and different tube current-time products (10, 25, 50, 75, 100, and 175 mAs) and reconstructed with TFI and FBP. Two image evaluations were performed by three independent radiologists. In the first experiment, using the same tube current-time product, a side-by-side TFI and FBP comparison was performed. Images were evaluated with regard to noise, streak artifacts, and overall image quality. Overall image quality was evaluated in view of whole image quality. In the second experiment, CT images reconstructed using TFI and FBP with five different tube current-time products were displayed in random order, which were evaluated with reference to the 175 mAs-FBP image. Images were scored with regard to normal structure, abnormal findings, noise, streak artifacts, and overall image quality. Median scores from three radiologists were statistically analyzed. Quantitative evaluation of noise was performed by setting regions of interest (ROIs) in air. In first experiment, overall image quality was improved, and noise was decreased in images of TFI compared to that of FBP for all tube current-time products. In second experiment, scores of all evaluation items except for small vessels in images of 25 mAs-TFI were almost the same as that of 175 mAs-FBP (all p > 0.31). Using TFI instead of FBP, at least 85% radiation dose reduction could be possible without any degradation in the image quality.

PMID:35859015 | DOI:10.1038/s41598-022-16798-9

Eur J Hum Genet. 2022 Jul 20. doi: 10.1038/s41431-022-01149-z. Online ahead of print.

ABSTRACT

Children with neurofibromatosis 1 (NF1) may have a high burden of somatic disease and cognitive impairments, which can lead to poor academic performance. We evaluated school grades from exams ending mandatory schooling (usually around age 15 or 16 years) of children with NF1 in a population-based registry study using a within-school matched design. The study included 285 children with NF1 and 12,000 NF1-free peers who graduated from the same school and year during 2002-2015. We estimated overall and gender-specific grades by subject and compared the grades of children with NF1 with those of NF1-free peers in linear regression models. We also examined the effect of social and socioeconomic factors (immigration status and parental education, income and civil status) on grades and age at finalizing ninth grade. School grades varied considerably by socioeconomic stratum for all children; however, children with NF1 had lower grades by an average of 11-12% points in all subjects. In the adjusted models, children with NF1 had significantly lower grades than their NF1-free peers, with largest negative differences in grades observed for girls with NF1. Finally, children with NF1 were 0.2 (CI 0.1-0.2) years older than their peers on graduating from ninth grade, but only maternal educational modified the age at graduating. In conclusion, students with NF1 perform more poorly than their peers in all major school subjects. Gender had a strong effect on the association between NF1 and school grades; however, socioeconomic factors had a similar effect on grades for children with NF1 and their peers.

PMID:35859011 | DOI:10.1038/s41431-022-01149-z

Sci Rep. 2022 Jul 20;12(1):12436. doi: 10.1038/s41598-022-16632-2.

ABSTRACT

This study aimed to assess the potential impact of implementing an electronic alert system (EAS) for systemic inflammatory syndrome (SIRS) and sepsis in pediatric patients mortality. This retrospective study had a pre and post design. We enrolled patients aged ≤ 14 years who were diagnosed with sepsis/severe sepsis upon admission to the pediatric intensive care unit (PICU) of our tertiary hospital from January 2014 to December 2018. We implemented an EAS for the patients with SIRS/sepsis. The patients who met the inclusion criteria pre-EAS implementation comprised the control group, and the group post-EAS implementation was the experimental group. Mortality was the primary outcome, while length of stay (LOS) and mechanical ventilation in the first hour were the secondary outcomes. Of the 308 enrolled patients, 147 were in the pre-EAS group and 161 in the post-EAS group. In terms of mortality, 44 patients in the pre-EAS group and 28 in the post-EAS group died (p 0.011). The average LOS in the PICU was 7.9 days for the pre-EAS group and 6.8 days for the post-EAS group (p 0.442). Considering the EAS initiation time as the “zero time”, early recognition of SIRS and sepsis via the EAS led to faster treatment interventions in post-EAS group, which included fluid boluses with median (25th, 75th percentile) time of 107 (37, 218) min vs. 30 (11,112) min, p < 0.001) and time to initiate antimicrobial therapy median (25th, 75th percentile) of 170.5 (66,320) min vs. 131 (53,279) min, p 0.042). The difference in mechanical ventilation in the first hour of admission was not significant between the groups (25.17% vs. 24.22%, p 0.895). The implementation of the EAS resulted in a statistically significant reduction in the mortality rate among the patients admitted to the PICU in our study. An EAS can play an important role in saving lives and subsequent reduction in healthcare costs. Further enhancement of systematic screening is therefore highly recommended to improve the prognosis of pediatric SIRS and sepsis. The implementation of the EAS, warrants further validation in multicenter or national studies.

PMID:35859000 | DOI:10.1038/s41598-022-16632-2

NPJ Microgravity. 2022 Jul 20;8(1):27. doi: 10.1038/s41526-022-00208-5.

ABSTRACT

Otoliths are the primary gravity sensors of the vestibular system and are responsible for the ocular counter-roll (OCR). This compensatory eye torsion ensures gaze stabilization and is sensitive to a head roll with respect to gravity and the Gravito-Inertial Acceleration vector during, e.g., centrifugation. To measure the effect of prolonged spaceflight on the otoliths, we quantified the OCR induced by off-axis centrifugation in a group of 27 cosmonauts in an upright position before and after their 6-month space mission to the International Space Station. We observed a significant decrease in OCR early postflight, larger for first-time compared to experienced flyers. We also found a significantly larger torsion for the inner eye, the eye closest to the rotation axis. Our results suggest that experienced cosmonauts have acquired the ability to adapt faster after G-transitions. These data provide a scientific basis for sending experienced cosmonauts on challenging missions that include multiple g-level transitions.

PMID:35858981 | DOI:10.1038/s41526-022-00208-5

Sci Rep. 2022 Jul 20;12(1):12425. doi: 10.1038/s41598-022-16380-3.

ABSTRACT

The status of axillary lymph node metastases determines the treatment and overall survival of breast cancer (BC) patients. Three-dimensional (3D) assessment methods have advantages for spatial localization and are more responsive to morphological changes in lymph nodes than two-dimensional (2D) assessment methods, and we speculate that methods developed using 3D reconstruction systems have high diagnostic efficacy. This exploratory study included 43 patients with histologically confirmed BC diagnosed at Second Xiangya Hospital of Central South University between July 2017 and August 2020, all of whom underwent preoperative CT scans. Patients were divided into a training cohort to train the model and a validation cohort to validate the model. A 3D axillary lymph node atlas was constructed on a 3D reconstruction system to create various methods of assessing lymph node metastases for a comparison of diagnostic efficacy. Receiver operating characteristic (ROC) curve analysis was performed to assess the diagnostic values of these methods. A total of 43 patients (mean [SD] age, 47 [10] years) met the eligibility criteria and completed 3D reconstruction. An axillary lymph node atlas was established, and a correlation between lymph node sphericity and lymph node metastasis was revealed. By continuously fitting the size and characteristics of axillary lymph nodes on the 3D reconstruction system, formulas and models were established to determine the presence or absence of lymph node metastasis, and the 3D method had better sensitivity for axillary lymph node assessment than the 2D method, with a statistically significant difference in the correct classification rate. The combined diagnostic method was superior to a single diagnostic method, with a 92.3% correct classification rate for the 3D method combined with ultrasound. In addition, in patients who received neoadjuvant chemotherapy (NAC), the correct classification rate of the 3D method (72.7%) was significantly higher than that of ultrasound (45.5%) and CT (54.5%). By establishing an axillary lymph node atlas, the sphericity formula and model developed with the 3D reconstruction system achieve a high correct classification rate when combined with ultrasound or CT and can also be applied to patients receiving NAC.

PMID:35858979 | DOI:10.1038/s41598-022-16380-3

Sci Rep. 2022 Jul 20;12(1):12404. doi: 10.1038/s41598-022-16479-7.

ABSTRACT

Identifying medication errors is one method of improving patient safety. Peri operative anesthetic management of patient includes polypharmacy and the steps followed prior to drug administration. Our objective was to identify, extract and analyze the medication errors (MEs) reported in our critical incident reporting system (CIRS) database over the last 15 years (2004-2018) and to review measures taken for improvement based on the reported errors. CIRS reported from 2004 to 2018 were identified, extracted, and analyzed using descriptive statistics and presented as frequencies and percentages. MEs were identified and entered on a data extraction form which included reporting year, patients age, surgical specialty, American Society of Anesthesiologist (ASA) status, time of incident, phase and type of anesthesia and drug handling, type of error, class of medicine, level of harm, severity of adverse drug event (ADE) and steps taken for improvement. Total MEs reported were 311, medication errors were reported, 163 (52%) errors occurred in ASA II and 90 (29%) ASA III patient, and 133 (43%) during induction. During administration phase 60% MEs occurred and 65% were due to human error. ADEs were found in 86 (28%) reports, 58 of which were significant, 23 serious and five life-threatening errors. The majority of errors involved neuromuscular blockers (32%) and opioids (13%). Sharing of CI and a lesson to be learnt e-mail, colour coded labels, change in medication trolley lay out, decrease in floor stock and high alert labels were the low-cost steps taken to reduce incidents. Medication errors were more frequent during administration. ADEs were occurred in 28% MEs.

PMID:35858974 | DOI:10.1038/s41598-022-16479-7

Sci Rep. 2022 Jul 20;12(1):12373. doi: 10.1038/s41598-022-15767-6.

ABSTRACT

We develop here a novel modelling approach with the aim of closing the conceptual gap between tumour-level metabolic processes and the metabolic processes occurring in individual cancer cells. In particular, the metabolism in hepatocellular carcinoma derived cell lines (HEPG2 cells) has been well characterized but implementations of multiscale models integrating this known metabolism have not been previously reported. We therefore extend a previously published multiscale model of vascular tumour growth, and integrate it with an experimentally verified network of central metabolism in HEPG2 cells. This resultant combined model links spatially heterogeneous vascular tumour growth with known metabolic networks within tumour cells and accounts for blood flow, angiogenesis, vascular remodelling and nutrient/growth factor transport within a growing tumour, as well as the movement of, and interactions between normal and cancer cells. Model simulations report for the first time, predictions of spatially resolved time courses of core metabolites in HEPG2 cells. These simulations can be performed at a sufficient scale to incorporate clinically relevant features of different tumour systems using reasonable computational resources. Our results predict larger than expected temporal and spatial heterogeneity in the intracellular concentrations of glucose, oxygen, lactate pyruvate, f16bp and Acetyl-CoA. The integrated multiscale model developed here provides an ideal quantitative framework in which to study the relationship between dosage, timing, and scheduling of anti-neoplastic agents and the physiological effects of tumour metabolism at the cellular level. Such models, therefore, have the potential to inform treatment decisions when drug response is dependent on the metabolic state of individual cancer cells.

PMID:35858953 | DOI:10.1038/s41598-022-15767-6

Clin Genitourin Cancer. 2022 Jun 18:S1558-7673(22)00138-0. doi: 10.1016/j.clgc.2022.06.013. Online ahead of print.

ABSTRACT

BACKGROUND: Upper tract urothelial carcinomas (UTUCs) arise in the renal pelvis or the ureter, accounting for approximately 5% of all urothelial carcinomas. Recent years have witnessed the publication of several studies aimed at assessing the molecular, biologic, and clinical features of UTUC, reporting that FGFR3 mutations are the most observed genetic aberrations; however, several knowledge gaps persist in the understanding of the genomic landscape of this genitourinary malignancy with few treatment options.

PATIENTS AND METHODS: In the current study, we aimed to comprehensively analyze clinicopathological features of FGFR3-mutated UTUCs patients in public datasets to increase the current knowledge of the molecular and biologic profile of UTUC. Data regarding clinical outcomes, mutational profiles, and copy number alterations in patients affected by UTUC were downloaded from the cBioPortal for Cancer Genomics Database. UTUC data were available from 4 studies, for a total number of 358 patients; among these, 150 UTUC patients presented FGFR3 mutations.

RESULTS: The current database analysis of the mutational profile of 150 FGFR3-mutated UTUCs suggested that FGFR3 mutations may represent a prognostic factor in this disease, with a statistically longer overall survival compared to wild-type patients treated with radical surgery. In addition, FGFR3 mutations were more frequent in low-grade UTUCs with early-stage disease (pT1, pT2, and pT3).

CONCLUSION: Genomic characterization of UTUC is destined to become increasingly important, and more efforts aimed at implementing UTUC genomics analysis are warranted.

PMID:35858936 | DOI:10.1016/j.clgc.2022.06.013

Sci Rep. 2022 Jul 20;12(1):12375. doi: 10.1038/s41598-022-16142-1.

ABSTRACT

The limitations of BMI as a measure of adiposity and health risks have prompted the introduction of many alternative biomarkers. However, ranking diverse biomarkers from best to worse remains challenging. This study aimed to address this issue by introducing three new approaches: (1) a calculus-derived, normalized sensitivity score (NORSE) is used to compare the predictive power of diverse adiposity biomarkers; (2) multiple biomarkers are combined into multi-dimensional models, for increased sensitivity and risk discrimination; and (3) new visualizations are introduced that convey complex statistical trends in a compact and intuitive manner. Our approach was evaluated on 23 popular biomarkers and 6 common medical conditions using a large database (National Health and Nutrition Survey, NHANES, N ~ 100,000). Our analysis established novel findings: (1) regional composition biomarkers were more predictive of risk than global ones; (2) fat-derived biomarkers had stronger predictive power than weight-related ones; (3) waist and hip are always elements of the strongest risk predictors; (4) our new, multi-dimensional biomarker models yield higher sensitivity, personalization, and separation of the negative effects of fat from the positive effects of lean mass. Our approach provides a new way to evaluate adiposity biomarkers, brings forth new important clinical insights and sets a path for future biomarker research.

PMID:35858946 | DOI:10.1038/s41598-022-16142-1