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Nevin Manimala Statistics

Parental incarceration and youth tobacco product use: Implications for prevention and the e-cigarette epidemic.

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Parental incarceration and youth tobacco product use: Implications for prevention and the e-cigarette epidemic.

Addict Behav. 2020 Apr 03;107:106428

Authors: Parks MJ, Davis L, Wilhelm AK, McMorris BJ, Borowsky IW, Shlafer RJ

Abstract
PURPOSE: Youth smokers have high rates of adverse childhood experiences, and particularly parental incarceration (PI). In Minnesota, 16% of youth have experienced PI, but 55% of daily smokers report PI. However, no research has examined how PI relates to a range of tobacco products, which is critical considering the current e-cigarette epidemic. There is also limited research on protective factors for tobacco use among youth with PI.
METHODS: Data came from 2016 Minnesota Student Survey (N = 111,091); 85% of Minnesota schools participated. We assessed 30-day use of cigarettes, non-cigarette combustible products, smokeless products, e-cigarettes, and dual/poly use. Using descriptive statistics and logistic regressions, we compared use across current, previous, and no PI experience. We also tested how protective factors related to tobacco use.
RESULTS: Youth with current PI experience used all products with higher frequency compared to youth with previous and no PI experience. Use prevalence among youth with current PI were 26.0% (95% CI = 24.1, 27.8) for e-cigarettes, 20.8% (95% CI = 19.1, 22.5) for dual/poly use, 17.8% (95% CI = 16.2, 19.5) for cigarettes, 17.4% (95% CI = 15.8, 19.0) for combustible non-cigarettes, and 9.9% (95% CI = 8.6, 11.2) for smokeless products. Nearly all protective factors were significantly and negatively related to use of all products, regardless of PI experience.
CONCLUSIONS: Youth with PI experience are at high risk for using multiple tobacco products. These disparities were most pronounced for e-cigarettes, demonstrating the e-cigarette epidemic is disproportionately occurring among youth with current and previous PI experience. All examined protective factors buffer risks for this population of youth.

PMID: 32311626 [PubMed – as supplied by publisher]

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Nevin Manimala Statistics

Randomized sketches for kernel CCA.

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Randomized sketches for kernel CCA.

Neural Netw. 2020 Apr 14;127:29-37

Authors: Lian H, Zhang F, Lu W

Abstract
Kernel canonical correlation analysis (KCCA) is a popular tool as a nonlinear extension of canonical correlation analysis. Consistency and optimal convergence rate have been established in the literature. However, the time complexity of KCCA scales as O(n3) and is thus prohibitive when n is large. We propose an m-dimensional randomized sketches approach for KCCA with m<<n, based on the recent work on randomized sketches for kernel ridge regression (KRR). Technically we establish our theoretical results relying on an interesting connection between KCCA and KRR by utilizing a novel “duality tracking” device that alternates between the infinite-dimensional operator-theory-based view of KCCA and the finite-dimensional kernel-matrix-based view.

PMID: 32311655 [PubMed – as supplied by publisher]

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Nevin Manimala Statistics

Identification and Management of Progressive Enhancement after Radiation Therapy for Brain Metastases: Results from a Neurosurgical Survey.

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Identification and Management of Progressive Enhancement after Radiation Therapy for Brain Metastases: Results from a Neurosurgical Survey.

World Neurosurg. 2020 Apr 17;:

Authors: Semonche A, Patel N, Yang I, Danish S

Abstract
OBJECTIVE: There is a lack of consensus regarding diagnosis, timing, and method of intervention for progressive enhancement on surveillance imaging after stereotactic radiosurgery (SRS) treatment of brain metastases. We sought to characterize current practices among neurosurgeons in identifying and treating infield tumor recurrence (TR) or radiation necrosis (RN) after SRS for brain metastases. MethodsVoluntary survey distributed electronically to pre-identified neurosurgeons. Results were analyzed using descriptive statistics and chi-square analysis. Results120 participants completed the survey from 72 United States and 17 international centers. The majority (69.2%) agreed that growth over at least 2 surveillance scans spaced at least 90 days apart identified irreversible progression after SRS for brain metastases. Respondents were evenly divided on the need for tissue biopsy to distinguish between TR and RN. Preferred treatment modality and timeframe to initiate treatment of suspected RN differed among neurosurgeons based on SRS case volume for brain metastases (P=.002 and P=.02, respectively). Neurosurgeons who utilized magnetic resonance-guided laser interstitial thermal therapy (LITT) for brain metastases were more likely to prefer LITT for suspected RN whereas those with minimal LITT experience preferred steroids (P<0.0001). Neurosurgeons in the United States were more likely to prefer LITT for RN (37.3%) compared to international counterparts (0%).
CONCLUSION: Our survey of practicing neurosurgeons highlights areas of controversy in distinguishing between TR and RN and preferred management of suspected RN.

PMID: 32311550 [PubMed – as supplied by publisher]

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Nevin Manimala Statistics

Improvement of sudden cardiac death risk prediction by enhanced ACC/AHA strategy in Chinese patients with hypertrophic cardiomyopathy.

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Improvement of sudden cardiac death risk prediction by enhanced ACC/AHA strategy in Chinese patients with hypertrophic cardiomyopathy.

Heart Rhythm. 2020 Apr 17;:

Authors: Liu J, Wu G, Zhang C, Ruan J, Wang D, Zhang M, Wang L, Yang Y, Li X, Wang Y, Hui R, Zou Y, Kang L, Wang J, Song L

Abstract
BACKGROUND: The lack of validated and effective sudden cardiac death (SCD) risk prediction method is the biggest barrier to perform the lifesaving treatment of prophylactic implantable cardioverter defibrillator (ICD) in Chinese patients with hypertrophic cardiomyopathy (HCM).
OBJECTIVE: This study aimed to evaluate the efficacy of three existing SCD risk prediction methods, namely 2011 American College of Cardiology Foundation and American Heart Association (ACCF/AHA) guideline, 2014 European Society of Cardiology (ESC) guideline and 2019 enhanced ACC/AHA strategy in Chinese patients with HCM.
METHODS: The present study consisted of 1369 consecutive adult HCM patients without a history of SCD events. The primary endpoint was a composite of SCD and equivalent events, namely resuscitation from cardiac arrest and appropriate ICD shock therapy for ventricular tachycardia or fibrillation.
RESULTS: During follow-up of 3.2±2.4 years, 39 patients reached SCD endpoints, among which 26 (66.7%) were correctly predicted as high-risk of SCD by 2019 enhanced ACC/AHA strategy, 20 (51.3%) by 2011 ACCF/AHA guideline, but only 5 (12.8%) by 2014 ESC guideline, prospectively. The 2019 enhanced ACC/AHA strategy showed higher C-statistics (0.647) for SCD prediction than 2011 ACCF/AHA guideline (0.598) and 2014 ESC guideline (0.605), and resulted in correct reclassification of SCD risk when compared with 2011 ACCF/AHA (Net Reclassification Index=0.113, P=0.074) and 2014 ESC guideline (Net Reclassification Index=0.245, P=0.038).
CONCLUSION: The 2019 enhanced ACC/AHA strategy showed better predictive performance for SCD risk stratification in Chinese HCM patients, with a notably high sensitivity.

PMID: 32311532 [PubMed – as supplied by publisher]

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Nevin Manimala Statistics

statistics; +297 new citations

297 new pubmed citations were retrieved for your search.
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Nevin Manimala Statistics

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378 new pubmed citations were retrieved for your search.
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These pubmed results were generated on 2020/04/17

PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books.
Citations may include links to full-text content from PubMed Central and publisher web sites.

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Nevin Manimala Statistics

Deep learning to analyze neurological problems

Getting to the doctor’s office for a check-up can be challenging for someone with a neurological disorder that impairs their movement, such as a stroke. But what if the patient could just take a video clip of their movements with a smart phone and forward the results to their doctor?
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Nevin Manimala Statistics

Computer game may help to predict reuse of opioids

A computer betting game can help predict the likelihood that someone recovering from opioid addiction will reuse the pain-relieving drugs, a new study shows.
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Nevin Manimala Statistics

Smaller class sizes not always better for pupils, multinational study shows

A new statistical analysis of data from a long-term study on the teaching of mathematics and science has found that smaller class sizes are not always associated with better pupil performance and achievement.
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Nevin Manimala Statistics

An algorithm for large-scale genomic analysis

The examination of Haplotypes makes it possible to understand the heritability of certain complex traits. However, genome analysis of family members is usually necessary, a tedious and expensive process. Researchers have developed SHAPEIT4, a powerful computer algorithm that allows the haplotypes of hundreds of thousands of unrelated individuals to be identified very quickly. Results are as detailed as when family analysis is performed. Their tool is available online under an open source license.