Tag: statistics

Heart Vessels. 2021 Sep 25. doi: 10.1007/s00380-021-01945-5. Online ahead of print.

ABSTRACT

Although the echocardiographic effective orifice area (EOA) calculated using the continuity equation is widely used for the assessment of severity in aortic stenosis (AS), the existence of high flow velocity at the left ventricular outflow tract (LVOT) potentially causes its overestimation. The proximal isovelocity surface area (PISA) method could be an alternative tool for the estimation of EOA that limits the influence of upstream flow velocity. EOA was calculated using the continuity equation (EOA_Cont) and PISA method (EOA_PISA), respectively, in 114 patients with at least moderate AS. The geometric orifice area (GOA) was also measured using the planimetry method in 51 patients who also underwent three-dimensional transesophageal echocardiography. Patients were divided into two groups according to the median LVOT flow velocity. EOA_PISA could be obtained in 108 of the 114 patients (95%). Although there was a strong correlation between EOA_Cont and EOA_PISA (r = 0.78, P < 0.001), EOA_Cont was statistically significantly larger than EOA_PISA (0.86 ± 0.33 vs 0.75 ± 0.29 cm², P < 0.001). Both EOA_Cont and EOA_PISA similarly correlated with GOA (r = 0.70, P < 0.001 and r = 0.77, P < 0.001, respectively). However, a fixed bias, which is hydrodynamically supposed to exist between EOA and GOA, was not observed between EOA_Cont and GOA. In contrast, there was a negative fixed bias between EOA_PISA and GOA with smaller EOA_PISA than GOA. The difference between EOA_Cont and GOA was significantly greater with a larger EOA_Cont relative to GOA in patients with high LVOT flow velocity than in those without (0.16 ± 0.25 vs – 0.07 ± 0.10 cm², P < 0.001). In contrast, the difference between EOA_PISA and GOA was consistent regardless of the LVOT flow velocity (- 0.07 ± 0.12 vs – 0.07 ± 0.15 cm², P = 0.936). The PISA method was applied to estimate EOA in patients with AS. EOA_PISA could be an alternative parameter for AS severity grading in patients with high LVOT flow velocity in whom EOA_Cont would potentially overestimate the orifice area.

PMID:34562142 | DOI:10.1007/s00380-021-01945-5

Metabolomics. 2021 Sep 25;17(10):91. doi: 10.1007/s11306-021-01841-z.

ABSTRACT

INTRODUCTION: Inductively coupled plasma mass spectrometry (ICP-MS) experiments generate complex multi-dimensional data sets that require specialist data analysis tools.

OBJECTIVE: Here we describe tools to facilitate analysis of the ionome composed of high-throughput elemental profiling data.

METHODS: IonFlow is a Galaxy tool written in R for ionomics data analysis and is freely accessible at https://github.com/wanchanglin/ionflow . It is designed as a pipeline that can process raw data to enable exploration and interpretation using multivariate statistical techniques and network-based algorithms, including principal components analysis, hierarchical clustering, relevance network extraction and analysis, and gene set enrichment analysis.

RESULTS AND CONCLUSION: The pipeline is described and tested on two benchmark data sets of the haploid S. Cerevisiae ionome and of the human HeLa cell ionome.

PMID:34562172 | DOI:10.1007/s11306-021-01841-z

Neuroradiology. 2021 Sep 25. doi: 10.1007/s00234-021-02714-x. Online ahead of print.

ABSTRACT

PURPOSE: To assess the obliteration rate, functional outcome, hemorrhagic complication, and mortality rates of exclusion treatment of low-grade brain arteriovenous malformations (BAVMs) (Spetzler and Martin grades (SMGs) 1 and 2), either ruptured or unruptured.

METHODS: Electronic databases-Ovid MEDLINE and PubMed-were searched for studies in which there was evidence of exclusion treatment of low-grade BAVMs treated either by endovascular, surgical, radiosurgical, or multimodality treatment. The primary outcome of interest was angiographic obliteration post-treatment and at follow-up. The secondary outcomes of interest were functional outcome (mRS), mortality rate, and hemorrhagic complication. Descriptive statistics were used to calculate rates and means.

RESULTS: Eleven studies involving 1809 patients with low-grade BAVMs were included. Among these, 1790 patients treated by either endovascular, surgical, radiosurgical, or multimodality treatment were included in this analysis. Seventy-two percent of BAVMs were Spetzler-Martin grade II. The overall (i.e., including all exclusion treatment modalities) complete obliteration rate ranged from 36.5 to 100%. The overall symptomatic hemorrhagic complication rate ranged from 0 to 7.3%; procedure-related mortality ranged from 0 to 4.7%.

CONCLUSION: Our systematic review of the literature reveals a high overall obliteration rate for low-grade BAVMs, either ruptured or unruptured, with low mortality rate and an acceptable post-treatment hemorrhagic complication rate. These results suggest that exclusion treatment of low-grade BAVMs may be safe and effective, regardless of the treatment modality chosen.

PMID:34562139 | DOI:10.1007/s00234-021-02714-x

Neuroradiology. 2021 Sep 25. doi: 10.1007/s00234-021-02815-7. Online ahead of print.

ABSTRACT

PURPOSE: The study aims to evaluate the mid-term effects of carotid endarterectomy (CEA) on cognition and resting-state functional magnetic resonance imaging (rs-fMRI) using the Amplitude of Low Frequency Fluctuations (ALFF) technique.

METHODS: In this observational study, patients eligible for CEA were prospectively included. On the same day, within 1 week of the CEA procedure performed and 12 months after the CEA procedure, all patients underwent (i) an MRI examination for rs-fMRI analysis and (ii) a cognitive evaluation using the Italian version of the Mini-Mental State Examination (MMSE) corrected for age and schooling. Pre-CEA and post-CEA MMSE scores were evaluated using paired sample t-tests, adopting a p-value < 0.05 as statistical threshold. The ALFF technique was used for analyzing the differences between pre-CEA and post-CEA rs-fMRI scans in terms of regional neural activation. This was accomplished by applying non-parametric statistics based on randomization/permutation for cluster-level inferences, adopting a cluster-mass p-value corrected for false discovery < 0.05 for cluster threshold, and a p-uncorrected < 0.01 for the voxel threshold.

RESULTS: Twenty asymptomatic patients were enrolled. The mean MMSE score resulted improved following CEA procedure (p-value = 0.001). The ALFF analysis identified a single cluster of 6260 voxels of increased regional neural activity following CEA, and no cluster of reduced activity. The majority of voxels covered the right precentral gyrus, the right middle frontal gyrus, and the anterior division of the cingulate gyrus.

CONCLUSION: Mid-term cognitive improvements observed after CEA are associated to increased regional neural activity of several cerebral regions.

PMID:34562140 | DOI:10.1007/s00234-021-02815-7

Arch Dermatol Res. 2021 Sep 25. doi: 10.1007/s00403-021-02281-4. Online ahead of print.

ABSTRACT

Cutaneous squamous cell carcinoma is the second most common cutaneous malignancy with a 5-year disease-specific survival rate of approximately 90%, which decreases dramatically to 50% in the presence of regional lymph node metastases. We sought to examine clinicians’ documentation of pertinent neurological symptoms/signs and lymph node palpation at the time of initial biopsy and treatment using lower lip SCC patients as a cohort. Subsequently, we investigated the correlation between clinical and pathologic SCC features and the aforementioned documentation. A single center, retrospective study of all squamous cell carcinomas of the lower lip biopsied over 10 years was conducted, and univariate models were implemented to correlate the variables. A total of 66 squamous cell carcinomas of the lip in 63 patients were identified. Neurological signs and symptoms were not documented and only three of the tumors were palpated, therefore statistical analysis was not performed. A lymph node exam was documented in 14 of the 63 patients (22%), and statistical analysis showed that among all variables (age, gender, tumor size, tumor stages, tobacco or alcohol use, or history of skin cancer), only the size of the tumor correlated positively with a lymph node examination (RRE 1.15 [95% CI 1.06-1.25], p < 0.001). Our study illustrates a possible practice gap and quality improvement potential in tumor, neurologic, and lymph node examination and documentation in patients with cutaneous squamous cell carcinoma.

PMID:34562138 | DOI:10.1007/s00403-021-02281-4

Sci Rep. 2021 Sep 24;11(1):19075. doi: 10.1038/s41598-021-98476-w.

ABSTRACT

The study is designed to evaluate quality of life and functional performance in patients with type II and III odontoid fracture treated with anterior odontoid screw fixation. We investigated the relationship between quality of life and: (1) the range of axial rotation of the cervical spine, (2) neck pain intensity, and (3) level of disability in these patients. The study involved 60 patients operated on for type II and III fractures with the use of direct osteosynthesis of the dens. Quality of life and functional performance were assessed using SF-36 Questionnaire and Neck Disability Index (NDI). The range of axial rotation was examined with the use of the Zebris ultrasound system while the intensity of pain with the use of the VAS Visual Analog Pain Scale. The subjects’ quality of life was poorer with respect to the mental dimension (32.3%) compared to the physical dimension (22.7%). Based on the NDI survey, the rate representing the patients’ functioning in daily life amounted to 13.7% which reflects mild limitations in functional abilities. It was shown that the range of axial rotation (both to the right and the left) was not related to the degree of disability of patients as measured by the NDI questionnaire. The model of regression was statistically significant for overall quality of life (F = 48.24 p < 0.001), as well as physical dimension (F = 45.1 p < 0.001). Quality of life indicators in SF-36 are decreased in patients operated for type II and III odontoid fracture and the mental dimension of the quality of life is significantly poorer than the physical one. More than half of the patients operated for type II and III odontoid fracture regained normal functioning, as assessed with the NDI questionnaire.

PMID:34561492 | DOI:10.1038/s41598-021-98476-w

Light Sci Appl. 2021 Sep 24;10(1):196. doi: 10.1038/s41377-021-00623-5.

ABSTRACT

Spatially-engineered diffractive surfaces have emerged as a powerful framework to control light-matter interactions for statistical inference and the design of task-specific optical components. Here, we report the design of diffractive surfaces to all-optically perform arbitrary complex-valued linear transformations between an input (N_i) and output (N_o), where N_i and N_o represent the number of pixels at the input and output fields-of-view (FOVs), respectively. First, we consider a single diffractive surface and use a matrix pseudoinverse-based method to determine the complex-valued transmission coefficients of the diffractive features/neurons to all-optically perform a desired/target linear transformation. In addition to this data-free design approach, we also consider a deep learning-based design method to optimize the transmission coefficients of diffractive surfaces by using examples of input/output fields corresponding to the target transformation. We compared the all-optical transformation errors and diffraction efficiencies achieved using data-free designs as well as data-driven (deep learning-based) diffractive designs to all-optically perform (i) arbitrarily-chosen complex-valued transformations including unitary, nonunitary, and noninvertible transforms, (ii) 2D discrete Fourier transformation, (iii) arbitrary 2D permutation operations, and (iv) high-pass filtered coherent imaging. Our analyses reveal that if the total number (N) of spatially-engineered diffractive features/neurons is ≥N_i × N_o, both design methods succeed in all-optical implementation of the target transformation, achieving negligible error. However, compared to data-free designs, deep learning-based diffractive designs are found to achieve significantly larger diffraction efficiencies for a given N and their all-optical transformations are more accurate for N < N_i × N_o. These conclusions are generally applicable to various optical processors that employ spatially-engineered diffractive surfaces.

PMID:34561415 | DOI:10.1038/s41377-021-00623-5

Sci Rep. 2021 Sep 24;11(1):19018. doi: 10.1038/s41598-021-97785-4.

ABSTRACT

According to the statistics of 160 typical fire and explosion accidents in oil storage areas at home and abroad nearly 50 years, 122 of them occurred the secondary accidents in the emergency responses. Based on 122 accident cases, 21 causal factors leading to secondary accidents are summarized. In order to quantify the influencing degree of these causal factors on the accident consequences, a multiple linear regression model was established between them. In the modeling process, these factors are decomposed into the criterion layer, variable layer, and bottom layer. The improved analytic hierarchy process (IAHP) was used to establish the relationship between the bottom factors and variable factors, and the regression analysis method was used to establish the relational model between variable layer and criterion layer. For 122 cases of the secondary accidents, this study took the year as a statistical dimension, and obtained 40 groups of sample data. The first 34 groups of sample data were used to build the causal factors model, and the last 6 groups of sample data were tested the generalization ability of the model by using the established regression model combined with grey prediction model. The results show that the prediction ability of the established model was better than that of the grey prediction model alone. Moreover, the relative contribution and change trend of the causal factors were evaluated using the mutation progression method, and corresponding preventive countermeasures were proposed. It was found that human professional skills, knowledge and literacy, environmental issues, and firefighting facilities are the main influencing factors that lead to the secondary accidents. These three kinds of factors show a gradual improvement trend, and the existing prevention measures should be maintained and further improved. The problem of inherent objects or equipment factors has not been effectively improved and has a worsening trend, which is the focus of prevention in the future, and the prevention and control efforts need to be moderately increased. The research results have important guiding significance for understanding the quantitative influences of causal factors on the accident consequences, improving emergency response capabilities, reducing accident losses, and avoiding secondary accidents.

PMID:34561467 | DOI:10.1038/s41598-021-97785-4

J Forensic Nurs. 2021 Sep 23. doi: 10.1097/JFN.0000000000000343. Online ahead of print.

ABSTRACT

OBJECTIVE: The purpose of this study was to examine college women’s self-labeling as a victim or a survivor following a sexual assault and describe the relationship of self-labeling with mental health, self-blame, control over recovery, and help-seeking.

METHODS: This cross-sectional study collected data in an online anonymous survey in November and December of 2018. Participants (N = 375) were recruited from two public universities, were 18- to 24-year-old undergraduate students, identified as female, and had experienced a sexual assault since entering college.

RESULTS: Most respondents (46.4%, 174/375) chose labels other than victim or survivor. Statistically significant differences were found between choice of label (survivor, victim, or other) and depression, well-being, characterological self-blame, and perceived control over recovery. Short-answer responses revealed three major themes for alternative labels: choosing no label, normalizing, and seeking congruence.

CONCLUSION: As when caring for a patient with any diagnosis, nurses and other healthcare providers should see a person-not a patient, a survivor, or a victim.

PMID:34561402 | DOI:10.1097/JFN.0000000000000343

J Chin Med Assoc. 2021 Sep 20. doi: 10.1097/JCMA.0000000000000623. Online ahead of print.

ABSTRACT

BACKGROUND: Diabetes mellitus (DM) can worsen the prognosis or survival in prostate cancer (PC) patients. We investigated whether glycemic control impacts mortality in PC patients with existing diabetes.

METHODS: All PC patients with or without pre-existing DM were enrolled from 2006 to 2017. Mean haemoglobin A1c (HbA1c) values (<7%, 7-9%, ≥9%) were used to represent glycemic control. Major outcomes included all-cause, PC-specific, and non-PC mortalities. Statistical analyses were performed using Cox regression models with adjusted mean HbA1c and other related confounders.

RESULTS: A total of 831 PC patients were enrolled (non-DM group, n=690; DM group with a record of mean HbA1c values, n=141). Results showed that the DM group with mean HbA1c level ≥ 9% (n=14) had significantly increased risk for all-cause and non-PC mortality (HR:3.09, 95% CIs:1.15-8.32, p=0.025 and HR:5.49, 95% CIs:1.66-18.16, p=0.005, respectively), but not for PC-specific mortality (HR:1.03, 95% CIs:0.13-8.44, p=0.975), compared to the non-DM group.

CONCLUSION: Our findings indicate that PC patients with DM who had a mean HbA1c level ≥ 9% had higher risks of all-cause and non-PC mortality as compared with non-DM subjects. Further large and long-term studies are needed to verify the effect of glycemic control in PC patients with DM.

PMID:34561410 | DOI:10.1097/JCMA.0000000000000623