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Nevin Manimala Statistics

Exploring relationships between alcohol consumption, inflammation and brain structure in a heavy drinking sample

Alcohol Clin Exp Res. 2021 Sep 15. doi: 10.1111/acer.14712. Online ahead of print.

ABSTRACT

BACKGROUND: Chronic alcohol consumption is associated with structural brain changes and increased inflammatory signaling throughout the brain and body. Increased inflammation in the brain has been associated with structural brain damage. Recent studies have also shown that neurofilament light polypeptide (NfL) is released into circulation following neuronal damage. NfL has thus been proposed as a biomarker for neurodegenerative diseases but has not been explored in connection with alcohol use disorder. For this secondary data analysis, we proposed a conceptual model linking alcohol consumption, the pro-inflammatory cytokine IL-6, brain structure and NfL in heavy-drinking participants.

METHODS: Of the 182 individuals enrolled in this study, 81 participants had useable gray matter (GM) data and 80 had useable white matter (WM) data. A subset of these had NfL (n = 78) and IL-6 (n = 117) data. GM thickness was extracted from middle frontal brain regions using Freesurfer. Mean WM diffusivity values were extracted from Tract Based Spatial Statistics. NfL and IL-6 were measured from blood. Regression models were used to test individual linkages in the conceptual model. Based on significant regression results, we created a simplified conceptual model which was tested using path analysis.

RESULTS: In regressions, negative relationships emerged between GM and both drinks per drinking day (DPDD) (p = .018) and NfL (p = .004). A positive relationship emerged between WM diffusivity and DPDD (p =.033). IL-6 was not significantly associated with alcohol use, GM or WM. The final path model demonstrated adequate fit to the data and showed significant, negative associations between DPDD and middle frontal gyrus (MFG) Thickness and between MFG Thickness and NfL, but a non-significant association between DPDD and NfL.

CONCLUSIONS: Data suggest that drinking is associated with lower GM thickness and higher WM diffusivity and that lower GM thickness is associated with higher circulating NfL. This is the first study to demonstrate an association between brain structure and NfL in a sample of heavy drinkers.

PMID:34523725 | DOI:10.1111/acer.14712

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Nevin Manimala Statistics

Screening of metal complexes and organic solvents using the COSMOSAC-LANL model to enhance the energy density in a non-aqueous redox flow cell: an insight into the solubility

Phys Chem Chem Phys. 2021 Sep 15. doi: 10.1039/d1cp02591k. Online ahead of print.

ABSTRACT

In this paper, we have proposed a first-principles methodology to screen transition metal complexes against a particular organic solvent and organic solvents against a particular transition metal complex based on their solubility information without the knowledge of heat of fusion and melting temperature. The energy density of a non-aqueous redox flow cell directly depends on the solubility of the redox active species in the non-aqueous medium. We have used the “COSMOSAC-LANL” activity coefficient model (A. Karmakar, R. Mukundan, P. Yang and E. R. Batista, RSC Adv., 2019, 18506-18526; A. Karmakar and R. Mukundan, Phys. Chem. Chem. Phys., 2019, 19667-19685) which is based on first-principles COSMO calculations where the microscopic information is passed to the macroscopic world via a dielectric continuum solvation model, followed by a post-statistical thermodynamic treatment of the self-consistent properties of the solute particle to calculate the solubility. To model the activity coefficient at infinite dilution for the binary mixtures, a 3-suffix Margules (3sM) function is introduced for the quantitative estimation of the asymmetric interactions and, for the combinatorial term, the Staverman-Guggenheim (SG) form is used. The new activity coefficient model is separately called the “LANL” activity coefficient model. The metal complex and the organic solvent have been treated as a simple binary mixture. The present model has been applied to a set of 14 different organic solvents and 16 different transition metal complexes. Using the new LANL activity coefficient model in combination with the ADF-COSMOSAC-2013 model, we have shown how one can improve the solubility of a transition metal complex in an organic solvent. We applied our model to screen 84 binary mixtures to predict the compatible pair of redox active species and organic solvent to increase the energy density. The solvation mechanism of the transition metal complexes in the organic solvents was obtained using the new model. The results have been compared with the experimental and theoretical results where they are available.

PMID:34523634 | DOI:10.1039/d1cp02591k

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Nevin Manimala Statistics

Norovirus outbreaks in long-term care facilities in the United States, 2009-2018: a decade of surveillance

Clin Infect Dis. 2021 Sep 15:ciab808. doi: 10.1093/cid/ciab808. Online ahead of print.

ABSTRACT

BACKGROUND: In the US, norovirus is the leading cause of healthcare-associated gastroenteritis outbreaks. To inform prevention efforts, we describe the epidemiology of norovirus outbreaks in long-term care facilities (LTCFs).

METHODS: CDC collects epidemiologic and laboratory data on norovirus outbreaks from U.S. health departments through the National Outbreak Reporting System (NORS) and CaliciNet. Reports from both systems were merged, and norovirus outbreaks in nursing homes, assisted living, and other LTCFs occurring in 2009-2018 were analyzed. Data from the Centers for Medicare and Medicaid Services and the National Center for Health Statistics were used to estimate state LTCF counts.

RESULTS: During 2009-2018, 50 states, Washington D.C., and Puerto Rico reported 13,092 norovirus outbreaks and 416,284 outbreak-associated cases in LTCFs. Participation in NORS and CaliciNet increased from 2009-2014 and median reporting of LTCF norovirus outbreaks stabilized at 4.1 outbreaks per 100 LTCFs (IQR: 1.0-7.1) annually since 2014. Most outbreaks were spread via person-to-person transmission (90.4%) and 75% occurred during December-March. Genogroup was reported for 7,292 outbreaks with 862 (11.8%) positive for GI and 6,370 (87.3%) for GII. Among 4,425 GII outbreaks with typing data, 3,618 (81.8%) were GII.4. LTCF residents had higher attack rates than staff (median 29.0% versus 10.9%; p<0.001). For every 1,000 cases, there were 21.6 hospitalizations and 2.3 deaths.

CONCLUSIONS: LTCFs have a high burden of norovirus outbreaks. Most LTCF norovirus outbreaks occurred during winter months and were spread person-to-person. Outbreak surveillance can inform development of interventions for this vulnerable population, such as vaccines targeting GII.4 norovirus strains.

PMID:34523674 | DOI:10.1093/cid/ciab808

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Nevin Manimala Statistics

How Selection Over Time Contributes to the Inconsistency of the Association between Sex/Gender and Cognitive Decline across Cognitive Aging Cohorts

Am J Epidemiol. 2021 Sep 14:kwab227. doi: 10.1093/aje/kwab227. Online ahead of print.

ABSTRACT

The sex/gender and aging-related cognitive decline association remains poorly understood due to inconsistencies in findings. Such heterogeneity could be attributable to the cognitive functions studied and study population characteristics, but also to a differential selection by drop-out and death between men and women. This work aims to evaluate the impact of selection by drop-out and death on the association between sex/gender and cognitive decline. We first compared the most frequently used statistical methods for longitudinal data, targeting either population estimands (marginal models estimated by Generalized Estimating Equations) or subject-specific estimands (mixed/joint models estimated by likelihood maximization) on eight aging studies: six population-based (ACTIVE(1996-2009), Paquid(1988-2014), REGARDS(2003-2016), 3-City(1999-2016), WHICAP(1992-2017), Whitehall II(2007-2016)) and two clinic-based (ADNI(2004-2017), MEMENTO(2011-2016)) studies. We illustrated the differences in the estimands of the sex/gender association with cognitive decline in selected examples and highlighted the critical role of differential selection by drop-out and death. By using the same estimand, we then contrasted the sex/gender association across cohorts and cognitive measures suggesting residual differential sex/gender association depending on the targeted cognitive measure (memory or animal fluency) and the initial cohort selection. We recommend focusing on subject-specific estimands in the alive population for assessing sex/gender differences while handling differential selection over time.

PMID:34521111 | DOI:10.1093/aje/kwab227

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Nevin Manimala Statistics

Zinc deficiency correlates with severity of diabetic polyneuropathy

Brain Behav. 2021 Sep 14:e32349. doi: 10.1002/brb3.2349. Online ahead of print.

ABSTRACT

OBJECTIVES: There are controversies about the role of zinc in the development of both types 1 and 2 diabetes. The aim of this study was to assess serum zinc level in diabetic patients with and without peripheral neuropathy in comparison to healthy controls and to explore the possible relationship between serum zinc level and severity of peripheral neuropathy.

METHODS: This case control study was conducted on 120 subjects: 40 patients fulfilled the criteria for diagnosis of probable diabetic polyneuropathy (DPN), 40 diabetic patients without polyneuropathy (N-DPN) and 40 healthy controls. DPN patients were submitted to clinical assessment of diabetic neuropathy using neuropathy symptom and change (NSC) scale, Michigan Neuropathy Screening Instrument Physical Assessment (MNSI) scale and electrophysiological assessment using nerve conduction study. Zinc serum level was measured in all subjects included in this study using direct colorimetric test method.

RESULTS: Diabetic patients with and without neuropathy were found to have significantly lower mean values of serum zinc than healthy controls (p = .025, .03 respectively). There is a statistically significant negative correlation between zinc serum level and hemoglobin A1C (HA1C) (p ˂ .001), NSC score (p = .001) and MNSI score (p = .003) in DPN group. There were also statistically significant correlations between zinc serum level and nerve conduction study values.

CONCLUSION: Zinc deficiency significantly correlates with the severity of DPN and glycemic control.

PMID:34521153 | DOI:10.1002/brb3.2349

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Nevin Manimala Statistics

A low-cost chemical and optical approach to develop latent fingermarks on silver mirror surfaces

Forensic Sci Int. 2021 Sep 2;327:110988. doi: 10.1016/j.forsciint.2021.110988. Online ahead of print.

ABSTRACT

The development of fingermarks on reflective surfaces is often a challenge regarding the photography of images with overlapping lines, low contrast and reflections, especially considering that many forensic laboratories are supplied only with basic instrumentation for fingerprint analysis. The present study overviews these difficulties and proposes a combination of chemical and optical procedures, using low-cost products and equipment, to develop fingermarks on silver mirror surfaces. The chemical treatment promotes the delimitation of the substrate, transforming the reflective surface into a transparent surface. The results were statistically analyzed, indicating quality improvement of natural fingermarks pictures taken with standard digital camera on transparent surface. There was good observation of details and minutiae, even for samples recovered several days or weeks after deposition. The suggested method substantially modifies the composition of the substrate without any contact with the fingermark, preserving its characteristics and properties. Like other nondestructive methodologies, this approach could be prioritized over methods that directly change the evidence itself and allows for the photography of the fingermark in unaltered condition. Lastly, it does not impact on the efficiency of subsequent exams.

PMID:34521020 | DOI:10.1016/j.forsciint.2021.110988

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Nevin Manimala Statistics

In silico trials for treatment of acute ischemic stroke: Design and implementation

Comput Biol Med. 2021 Aug 26;137:104802. doi: 10.1016/j.compbiomed.2021.104802. Online ahead of print.

ABSTRACT

An in silico trial simulates a disease and its corresponding therapies on a cohort of virtual patients to support the development and evaluation of medical devices, drugs, and treatment. In silico trials have the potential to refine, reduce cost, and partially replace current in vivo studies, namely clinical trials and animal testing. We present the design and implementation of an in silico trial for treatment of acute ischemic stroke. We propose an event-based modelling approach for the simulation of a disease and injury, where changes to the state of the system (the events) are assumed to be instantaneous. Using this approach we are able to combine a diverse set of models, spanning multiple time scales, to model acute ischemic stroke, treatment, and resulting brain tissue injury. The in silico trial is designed to be modular to aid development and reproducibility. It provides a comprehensive framework for application to any potential in silico trial. A statistical population model is used to generate cohorts of virtual patients. Patient functional outcomes are also predicted with a statistical model, using treatment and injury results and the patient’s clinical parameters. We demonstrate the functionality of the event-based modelling approach and trial framework by running proof of concept in silico trials. The proof of concept trials simulate the same cohort of patients twice: once with successful treatment (successful recanalisation) and once with unsuccessful treatment (unsuccessful treatment). Ways to overcome some of the challenges and difficulties in setting up such an in silico trial are discussed, such as validation and computational limitations.

PMID:34520989 | DOI:10.1016/j.compbiomed.2021.104802

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Nevin Manimala Statistics

Exploring the relationship between production intensity and land use: A meta-analytic approach with shrimp aquaculture

J Environ Manage. 2021 Sep 11;300:113719. doi: 10.1016/j.jenvman.2021.113719. Online ahead of print.

ABSTRACT

Shrimp are one of the fastest growing commodities in aquaculture and have a considerable land footprint. Here, we explored the impact of utilizing different production methods (extensive vs intensive) for expanding shrimp production on the cumulative land footprint of shrimp aquaculture. A meta-analytic approach was utilized to simultaneously estimate model coefficients to explore three relationships: production intensity and total land burden, production intensity and the proportion of land at the farm, and production intensity and the farmland burden. A literature review was conducted and a total of 7 datasets, 22 subsets, and 973 individual farms were included in this study. The global models were as follows: model 1 → ln (total land burden) = 0.1165-0.3863 * ln (production intensity), model 2 → proportion of direct (farm) land use:total land use = 0.7592-0.1737 * ln (production intensity), model 3 → ln (direct land use) = 0.1991-0.9674 * ln (production intensity). Production expansion was modeled under different scenarios. The most land intensive projections involved using only extensive systems to increase production when compared to a business-as-usual scenario. The least land intensive scenario involved utilizing intensive systems. A scenario where farmland was not expanded used 17% less land and 28% less land to produce 7.5 and 10 million tons of shrimp, respectively, when compared to business-as-usual scenarios. These estimates are limited by uncertainty in shrimp feed composition but demonstrate the effect of production intensity on the overall land footprint of shrimp production.

PMID:34521002 | DOI:10.1016/j.jenvman.2021.113719

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Nevin Manimala Statistics

Fundamentals of care in the emergency room – An ethnographic observational study

Int Emerg Nurs. 2021 Sep 11;58:101050. doi: 10.1016/j.ienj.2021.101050. Online ahead of print.

ABSTRACT

BACKGROUND: There is a strong biomedical focus within emergency care. However, while failure to meet patients’ fundamental care needs has severe consequences for the patient, there is limited knowledge on how nursing care is provided in emergency rooms and the related implications for patients.

AIM: This study aims to explore how fundamental care needs of critically ill patients are met in emergency rooms.

METHODS: Non-participant observations at an emergency department in Sweden included 108 observations and field notes (150 h). Data were analysed using descriptive statistics.

RESULTS: Observations showed that registered nurses (RN) identified patients’ fundamental care needs and provided nursing care. However, the RNs’ focus on the patient decreased over time. When the RN communicated with the patient, the patients’ physical needs were met to a greater extent. The organisational structure and physical environment of emergency rooms limit RNs’ ability to meet patients’ fundamental care needs.

CONCLUSION: Not all patients had their fundamental care needs optimally met. This study highlights the importance of RNs working in an integrated manner; an RN working bedside is crucial for establishing a patient-nurse relationship to meet the patient’s physical, psychosocial, and relational needs.

PMID:34520964 | DOI:10.1016/j.ienj.2021.101050

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Nevin Manimala Statistics

Reducing intraoperative time with laryngeal mask airway and stretcher in pediatric adenotonsillectomy

Am J Otolaryngol. 2021 Sep 3;43(1):103195. doi: 10.1016/j.amjoto.2021.103195. Online ahead of print.

ABSTRACT

OBJECTIVES: Adenotonsillectomy (T&A) is one of the most common surgical procedures performed in the United States. Several studies have defined the safety of laryngeal mask airway (LMA) during this surgery, and conflicting evidence exists describing the role it plays in reducing intraoperative times. Our objective is to describe the role LMA and operating on a stretcher have on reducing intraoperative time during pediatric T&A.

METHODS: This is a retrospective review between October 2017 and January 2020. We included patients between the ages of 4-18 years old undergoing T&A. We excluded medically complex patients with chromosomal, craniofacial, and metabolic abnormalities, patients with cerebral palsy, and those who were tracheostomy dependent. Patient demographics included surgical indication, age, sex, obesity, use of preoperative midazolam, type of airway used, use of traditional operating room (OR) bed versus transport stretcher, surgeon type, and intraoperative times. Data was analyzed with univariate t-test and multivariate linear regression.

RESULTS: One hundred seventy-nine patients were included with an average age of 7.2 years. LMA and stretcher were used on 46.4% and 40.2% of patients, respectively. On multivariate linear regression LMA reduced emergence time by 4.4 min (p ≤ 0.001, 95% CI -6.7 to -2.1) and transport stretcher reduced induction time by 2.5 min (p = 0.04, 95% CI -4.9 to -0.1). Use of LMA and stretcher did not have a statistically significant difference on actual procedure time.

CONCLUSION: Our study further supports the role LMA has in reducing intraoperative times in addition to describing a novel method of reducing intraoperative time by operating on a transport stretcher for healthy children undergoing T&A.

LEVEL OF EVIDENCE: 3.

PMID:34520971 | DOI:10.1016/j.amjoto.2021.103195