Tag: statistics

Transfus Med. 2021 Jul 11. doi: 10.1111/tme.12800. Online ahead of print.

ABSTRACT

OBJECTIVES: To compare knowledge, attitudes and risk perception related to blood donation and transfusion in Trinidad and Tobago and Bahamas.

BACKGROUND: Trinidad and Tobago and the Bahamas are two Caribbean countries whose national blood transfusion systems are heavily reliant (76.2% and 76%) on family replacement donors. The Pan American Health Organisation/World Health Organisation recommends blood collection from exclusively voluntary nonremunerated donors on the grounds that family replacement donor-based blood systems are unsafe and inadequate compared to those based on voluntary nonremunerated blood donors.

METHODS/MATERIALS: A 23-item questionnaire was distributed online by snowball sampling in these two countries to assess knowledge, attitudes, risk perception and behaviour. SPSS version 24 was used for interpretative and descriptive data analysis, chi-square to measure significance and linear regression the strength of associations. p < 0.05 was used to define statistical significance.

RESULTS: Four hundred and fifty three (453) responses were obtained from Trinidad and Tobago and 101 from the Bahamas. Knowledge and positive attitudes were high in both countries (75.5% vs. 80.2%, p < 0.001 and 96.6% vs. 100%, p < 0.001). A substantial proportion of respondents held the perception that the local blood donation system was safe or very safe (26.4 and 61.4%, p < 0.001) that was linked to the misconception that the prevalent method of blood donation was voluntary nonremunerated (27.8 and 51.4%, p < 0.001). Concerns about receiving blood were underpinned by mistrust of transfusion-related procedures.

CONCLUSION: A social interface to transfer information between blood transfusion services and the community could encourage voluntary nonremunerated blood donation and reduce concerns about receiving transfusion.

PMID:34250655 | DOI:10.1111/tme.12800

Hum Brain Mapp. 2021 Jul 11. doi: 10.1002/hbm.25589. Online ahead of print.

ABSTRACT

Despite recent progress in the analysis of neuroimaging data sets, our comprehension of the main mechanisms and principles which govern human brain cognition and function remains incomplete. Network neuroscience makes substantial efforts to manipulate these challenges and provide real answers. For the last decade, researchers have been modelling brain structure and function via a graph or network that comprises brain regions that are either anatomically connected via tracts or functionally via a more extensive repertoire of functional associations. Network neuroscience is a relatively new multidisciplinary scientific avenue of the study of complex systems by pursuing novel ways to analyze, map, store and model the essential elements and their interactions in complex neurobiological systems, particularly the human brain, the most complex system in nature. Due to a rapid expansion of neuroimaging data sets’ size and complexity, it is essential to propose and adopt new empirical tools to track dynamic patterns between neurons and brain areas and create comprehensive maps. In recent years, there is a rapid growth of scientific interest in moving functional neuroimaging analysis beyond simplified group or time-averaged approaches and sophisticated algorithms that can capture the time-varying properties of functional connectivity. We describe algorithms and network metrics that can capture the dynamic evolution of functional connectivity under this perspective. We adopt the word ‘chronnectome’ (integration of the Greek word ‘Chronos’, which means time, and connectome) to describe this specific branch of network neuroscience that explores how mutually informed brain activity correlates across time and brain space in a functional way. We also describe how good temporal mining of temporally evolved dynamic functional networks could give rise to the detection of specific brain states over which our brain evolved. This characteristic supports our complex human mind. The temporal evolution of these brain states and well-known network metrics could give rise to new analytic trends. Functional brain networks could also increase the multi-faced nature of the dynamic networks revealing complementary information. Finally, we describe a python module (https://github.com/makism/dyconnmap) which accompanies this article and contains a collection of dynamic complex network analytics and measures and demonstrates its great promise for the study of a healthy subject’s repeated fMRI scans.

PMID:34250674 | DOI:10.1002/hbm.25589

Epilepsia. 2021 Jul 12. doi: 10.1111/epi.16998. Online ahead of print.

ABSTRACT

OBJECTIVE: The objective of this study was to determine whether two commonly prescribed antiseizure medications (ASMs), levetiracetam (LEV) and oxcarbazepine (OXC), were associated with an increased risk of fragility fracture in children with epilepsy when initiating therapy during a crucial period of bone development, namely, pre- and midpuberty.

METHODS: Claims data from January 1, 2009 to December 31, 2018 were extracted from the Optum Clinformatics Data Mart. Children aged 4-13 years at baseline with at least 5 years of continuous health plan enrollment were included to allow for a 1-year baseline (e.g., pre-ASM exposure) and 4 years of follow-up. Children with epilepsy who were ASM naïve were grouped based on whether ASM treatment initiation included LEV or OXC. The comparison group included children without epilepsy and without ASM exposure. Crude incidence rate (IR; n per 1000 person-years) and IR ratio (IRR; with 95% confidence interval [CI]) were estimated for nontrauma fracture (NTFx), a claims-based proxy for fragility fracture, for up to 4 years of follow-up. Cox proportional hazards regression estimated the hazard ratio (HR; with 95% CI) after adjusting for demographic variables, motor impairment, and baseline fracture.

RESULTS: The crude IR (95% CI) of NTFx was 21.5 (21.2-21.8) for non-ASM-users without epilepsy (n = 271 346), 19.8 (12.3-27.2) for LEV (n = 358), and 34.4 (21.1-47.7) for OXC (n = 203). Compared to non-ASM-users, the crude IRR of NTFx was similar for LEV (IRR = .92, 95% CI = .63-1.34) and elevated for OXC (IRR = 1.60, 95% CI = 1.09-2.35); the crude IRR of NTFx was elevated for OXC compared to LEV (IRR = 1.74, 95% CI = 1.02-2.99). The findings were consistent after adjusting for covariates, except when comparing OXC to LEV (HR = 1.71, 95% CI = .99-2.93), which was marginally statistically insignificant (p = .053).

SIGNIFICANCE: Initiating OXC, but not LEV, therapy among 4-13-year-olds with epilepsy is associated with an elevated risk of fragility fracture. Studies are needed to determine whether these children could benefit from adjunct bone fragility therapies.

PMID:34250606 | DOI:10.1111/epi.16998

Eur J Neurosci. 2021 Jul 11. doi: 10.1111/ejn.15386. Online ahead of print.

ABSTRACT

Recent studies have proposed that one can summarize brain activity into dynamics among a relatively small number of hidden states and that such an approach is a promising tool for revealing brain function. Hidden Markov models (HMMs) are a prevalent approach to inferring such neural dynamics among discrete brain states. However, the impact of assuming Markovian structure in neural time series data has not been sufficiently examined. Here, to address this situation and examine the performance of the HMM, we compare the model with the Gaussian mixture model (GMM), which is with no temporal regularization and thus a statistically simpler model than the HMM, by applying both models to synthetic time series generated from empirical resting-state functional magnetic resonance imaging (fMRI) data. We compared the GMM and HMM for various sampling frequencies, lengths of recording per participant, numbers of participants, and numbers of independent component signals. We find that the HMM attains a better accuracy of estimating the hidden state than the GMM in a majority of cases. However, we also find that the accuracy of the GMM is comparable to that of the HMM under the condition that the sampling frequency is reasonably low (e.g., TR = 2.88 or 3.60 s) or the data is relatively short. These results suggest that the GMM can be a viable alternative to the HMM for investigating hidden-state dynamics under this condition.

PMID:34250639 | DOI:10.1111/ejn.15386

Epilepsia. 2021 Jul 12. doi: 10.1111/epi.16993. Online ahead of print.

ABSTRACT

OBJECTIVE: Discontinuation of antiepileptic drugs (AEDs) in seizure-free patients is an important goal because of possible long-term side effects and the social stigma burden of epilepsy. The purpose of this work was to assess seizure recurrence risk after suspension of AEDs, to evaluate predictors for recurrence, and to investigate the recovery of seizure control after relapse. In addition, the accuracy of a previously published prediction model of seizure recurrence risk was estimated.

METHODS: Seizure-free patients with epilepsy who had discontinued AEDs were retrospectively enrolled. The frequency of seizure relapses after AED withdrawal as well as prognosis after recurrence were assessed and the predictive role of baseline clinical-demographic variables was evaluated. The aforementioned prediction model was also validated and its accuracy assessed at different seizure-relapse probability levels.

RESULTS: The enrolled patients (n = 133) had been followed for a median of 3 years (range 0.8-33 years) after AED discontinuation; 60 (45%) of them relapsed. Previous febrile seizures in childhood (hazard ratio [HR] 3.927; 95% confidence interval [CI] 1.403-10.988), a seizure-free period on therapy of less than 2 years (HR 2.313; 95% CI 1.193-4.486), and persistent motor deficits (HR 4.568; 95% CI 1.412-14.772) were the clinical features associated with relapse risk in univariate analysis. Among these variables, only a seizure-free period on therapy of less than 2 years was associated with seizure recurrence in multivariate analysis (HR 2.365; 95% CI 1.178-4.7444). Pharmacological control of epilepsy was restored in 82.4% of the patients who relapsed. In this population, the aforementioned prediction model showed an unsatisfactory accuracy.

SIGNIFICANCE: A period of freedom from seizure on therapy of less than 2 years was the main predictor of seizure recurrence. The accuracy of the previously described prediction tool was low in this cohort, thus suggesting its cautious use in real-world clinical practice.

PMID:34250596 | DOI:10.1111/epi.16993

Adv Ther. 2021 Jul 12. doi: 10.1007/s12325-021-01846-z. Online ahead of print.

ABSTRACT

INTRODUCTION: Both radiofrequency (RF) and cryoballoon (CB) ablation are treatment options for persistent atrial fibrillation (PsAF). An important recent innovation in RF ablation is Ablation Index (AI), known also as the VISITAG SURPOINT™ Module, a composite lesion quality marker whose use has been shown to significantly reduce the incidence of acute and late pulmonary vein (PV) reconnection and the recurrence of atrial arrhythmias in PsAF. Due to a lack of direct comparative evidence between the latest generations of technologies, there is uncertainty regarding the best treatment option in PsAF. The objective of the present study was to conduct a matching-adjusted indirect treatment comparison (MAIC) using individual patient-level data (IPD) to assess the comparative effectiveness of the THERMOCOOL SMARTTOUCH™ Catheter or the THERMOCOOL SMARTTOUCH™ SF Catheter with AI/VISITAG SURPOINT™ Module (STAI) versus the second-generation CB catheter (Arctic Front Advance™; herein referred to as CB) with respect to 12-month atrial arrhythmia recurrence, fluoroscopy time, and procedural efficiency.

METHODS: IPD for STAI were obtained from four investigator-initiated studies and were pooled. Comparable CB studies identified from a systematic literature review were also pooled. In the absence of a common treatment arm between STAI and CB studies, an unanchored MAIC was conducted. The primary analysis compared the pooled STAI IPD to the pooled CB cohort, with corrections for differences across trials, including eligibility criteria and patient baseline characteristics. Scenario and sensitivity analyses were conducted to assess the robustness of the primary analysis.

RESULTS: In the primary analysis, which was adjusted for left atrial diameter (LAD), age, diabetes, and sex, STAI was associated with a statistically significant 65% relative reduction in the rate of arrhythmia recurrence compared to CB at 12-month follow-up (HR 0.35; 95% CI 0.23, 0.52). STAI was associated with shorter total fluoroscopy time than CB but longer procedure time. Results were consistent across scenario and sensitivity analyses.

CONCLUSION: Radiofrequency ablation with AI significantly reduced atrial arrhythmia recurrence at 12-month follow-up and fluoroscopy time compared to CB, with longer procedure times.

PMID:34250584 | DOI:10.1007/s12325-021-01846-z

J Forensic Sci. 2021 Jul 12. doi: 10.1111/1556-4029.14791. Online ahead of print.

ABSTRACT

The current standard technique for cardiopulmonary resuscitation (CPR), initially described in the early 1960s, has quickly become the expected response for all persons found without a pulse or respiration. Despite the potentially lifesaving properties of external cardiac massage, the mainstay of resuscitation, it consists of repeated blunt force trauma to the chest, which can lead to extensive traumatic skeletal and nonskeletal injuries. Numerous autopsy-based studies have documented the incidence and patterns of rib and sternal fractures associated with attempted CPR, but there is relatively little data on the incidence and severity of nonskeletal CPR-related injuries. We reviewed reports from 1878 autopsies performed between September 2017 and December 2019 (inclusive), for documentation of CPR-related injuries. Among these cases, there were 93 cases with resuscitation-related nonskeletal injuries. The most common type of injury identified were visceral contusions, documented in 57.0% of cases. These contusions predominantly involved the heart, lungs, neck soft tissue, and surrounding structures. Resuscitation-related lacerations were seen in 17.2% of the cases, most predominantly involving the pericardium, heart, and liver. Statistical analysis of the data demonstrated that lacerations were more likely to be seen in females and with associated sternal fractures. Additionally, hemothoraces were present in 34.4% of cases and hemopericardium was seen in 8.6% of cases. This study provides additional documentation of the range, severity, and incidence of various types of resuscitation-related visceral injuries to better assist autopsy pathologists in distinguishing these injuries from other antecedent traumatic injuries.

PMID:34250595 | DOI:10.1111/1556-4029.14791

J Relig Health. 2021 Jul 11. doi: 10.1007/s10943-021-01335-1. Online ahead of print.

ABSTRACT

Studying Alzheimer’s disease with the fluctuating environmental, individual, and cultural factors in pertinence to the Diagnostic Statistical Manual (DSM-5) requires information, awareness, and understanding of the disease. Studies have calibrated sociocultural factors to be imperative in the expression of functional symptomology of Alzheimer’s disease. Pakistan as a sociocentric, predominantly Muslim country, calls for such efforts. The current research was conducted to study the functional symptomology and experiences of Alzheimer’s disease. A qualitative approach was adopted in which in-depth interviews of three dyads of patients with Alzheimer’s disease and their caregivers (N = 6) were conducted. Interpretative Phenomenological Analysis was applied to acquire the thematic analysis of data. Results showed sociocentricism as a forefront factor. Cognition, behavior, and emotions were found to be functionally expressed by religion, unawareness, respect of older people, stigmatization, and isolation within family dynamics. The study could be an instigator for further culture-oriented assessment and management providing services.

PMID:34250570 | DOI:10.1007/s10943-021-01335-1

Curr Med Sci. 2021 Jun;41(3):565-571. doi: 10.1007/s11596-021-2392-4. Epub 2021 Jul 11.

ABSTRACT

There are few studies regarding imaging markers for predicting postoperative rebleeding after stereotactic minimally invasive surgery (MIS) for hypertensive intracerebral haemorrhage (ICH), and little is known about the relationship between satellite sign on computed tomography (CT) scans and postoperative rebleeding after MIS. This study aimed to determine the value of the CT satellite sign in predicting postoperative rebleeding in patients with hypertensive ICH who undergo stereotactic MIS. We retrospectively examined and analysed 105 patients with hypertensive ICH who underwent standard stereotactic MIS for hematoma evacuation within 72 h following admission. Postoperative rebleeding occurred in 14 of 65 (21.5%) patients with the satellite sign on baseline CT, and in 5 of the 40 (12.5%) patients without the satellite sign. This difference was statistically significant. Positive and negative values of the satellite sign for predicting postoperative rebleeding were 21.5% and 87.5%, respectively. Multivariate logistic regression analysis verified that baseline ICH volume and intraventricular rupture were independent predictors of postoperative rebleeding. In conclusion, the satellite sign on baseline CT scans may not predict postoperative rebleeding following stereotactic MIS for hypertensive ICH.

PMID:34250575 | DOI:10.1007/s11596-021-2392-4

J Natl Cancer Inst. 2021 Jul 12:djab128. doi: 10.1093/jnci/djab128. Online ahead of print.

ABSTRACT

BACKGROUND: Although an immunosuppressive tumor microenvironment (TME) is key for tumor progression, the molecular characteristics associated with the immunosuppressive TME remain unknown in triple-negative breast cancer (TNBC). Our previous functional proteomic study of TNBC tumors identified that C-JUN N-terminal kinase (JNK) pathway-related molecules were enriched in a cluster associated with the inflammatory pathway. However, the role of the JNK pathway in the TNBC TME is still unclear.

METHODS: Transcriptomic analysis was conducted using The Cancer Genome Atlas (TCGA) datasets. The effect of JNK-IN-8, a covalent pan-JNK inhibitor, on TNBC tumor growth, lung metastasis, and the TME was measured in TNBC syngeneic mouse models (n = 13 per group). Tumor (n = 43) or serum (n = 46) samples from TNBC patients were analyzed using multiplex immunohistochemistry or Luminex assay. All statistical tests were 2-sided.

RESULTS: CIBERSORT analysis revealed that TNBC patients with high pJNK level (n = 47) had more regulatory T cell (Treg) infiltration than those with low pJNK level (n = 47) (P = .02). Inhibition of JNK signaling statistically significantly reduced tumor growth (P < .001) and tumor-infiltrating Tregs (P = .02) while increasing the infiltration of CD8+ T cells in TNBC mouse models through the reduction of C-C motif ligand 2 (CCL2). Tumor-associated macrophages (TAMs) were the predominant cells secreting CCL2, and inhibition of JNK signaling reduced CCL2 secretion of human primary macrophages. Moreover, in patients with TNBC (n = 43), those with high levels of CCL2+ TAMs had more Treg and less CD8+ T cell infiltration (P = .04), and serum CCL2 level was associated with poor overall survival (hazard ratio = 2.65, 95% confidence interval = 1.29 to 5.44; P = .008) in TNBC patients (n = 46).

CONCLUSIONS: The JNK/C-JUN/CCL2 axis contributes to TNBC aggressiveness via forming an immunosuppressive TME and can offer novel therapeutic strategies for TNBC.

PMID:34250544 | DOI:10.1093/jnci/djab128