Notes

Planning guidelines regarding polyaniline/polyvinyl chloride versatile wires pertaining to electric powered conductivity performance analysis depending on orthogonal arrays.
This study aimed to estimate the magnitude of blindness, identify causes and associated factors among adult patients who visited a Tertiary Eye Care Training Center in Gondar, Ethiopia.

A hospital-based cross-sectional study was done at University of Gondar Tertiary Eye Care and Training Center. 708 participants (99.02% of invited) were recruited in this study with a systematic random sampling technique. Interviewer administered questioner and physical examination were applied to collect the data. Blindness was defined as the presenting visual acuity less than 3/60 in the better eye according to the World Health Organization criterion for visual acuity. Data was entered with Epi Info 7 and imported into SPSS for coding and analysis. Descriptive and analytical statistics were performed to analyze the entered data. Adjusted odds ratio was used to show the strength of the association and variables with a P-value of < 0.05 were considered as statistically significant.

The proportion of blindness in this study was 14.3% (95% CI 11.8-16.8). Low monthly income (AOR 4.9; 95% CI 1.4, 17.1), aged ≥ 60-69 (AOA 2.9, 95% CI 1.2, 7.6), and aged ≥ 70 years (AOR 4.8; 95% CI 1.9, 12.2) were positively associated with blindness. In this study, the leading cause of blindness was cataract (49.5%), followed by glaucoma (18.8%) and Age-related macular degeneration (AMD) (9.9%).

The proportion of blindness was 14.3%. Cataract, glaucoma and AMD were the common causes of blindness. Low monthly income and older age were significantly increased the risk of blindness.
The proportion of blindness was 14.3%. Cataract, glaucoma and AMD were the common causes of blindness. Low monthly income and older age were significantly increased the risk of blindness.The developmental eye movement (DEM) test is a practical and simple method for assessing and quantifying ocular motor skills in children. In this review, a summary of the literature relevant to the DEM test has been made, its psychometric properties and its pros and cons have also been considered. The DEM test provides clinicians with a simple method of measuring eye movement using a psychometric test. Over the years, many studies have enabled the identification of the strengthens and weaknesses of this test apart from outlining the psychometric properties. The validity of the test has been checked and expanded over time and studies have shown that the DEM test measures an aspect of eye movement related to reading, rather than purely parameters associated with eye-movement. Some reservations have emerged regarding the repeatability of the test because a degree of learning effect emerges over multiple sessions. Being aware of this point allows correct clinical application and interpretation of the test. Normative data in children were available for nine languages and countries. So far, DEM test could be applied clinically in each case when a rapid test of eye movement was required, such as in testing for vision-related visual problems.
The Medication-Related Burden Quality of Life (MRB-QoL) tool has been developed to measure the burden of medications on functioning and wellbeing from a patient perspective. 1NMPP1 However, predictors of MRB-QoL were not reported in greater detail in the validation study. This study aimed to explore factors associated with MRB-QoL to see whether there is any new information that calls for further research.

Analysis of data from the MRB-QoL validation study was undertaken. Outcome variables were domains of the MRB-QoL (Routine and Regimen Complexity, Psychological Burden, Functional and Role Limitation, Therapeutic Relationship, and Social Burden). Explanatory variables were patient age; disease-related factors; and medication-related factors, such as number of medications, complexity of medication regimen (measured by the Medication Regimen Complexity Index [MRCI]), and exposure to medications with anticholinergic and sedative effects (measured by the Drug Burden Index [DBI]). Linear regression analyses were useometric testing of the MRB-QoL measure, are warranted to better understand predictors of MRB-QoL.
In this sample of community-dwelling adults with multiple medications, the DBI was independently associated with the Psychological Burden and Functional and Role Limitation domains of the MRB-QoL. This study provides preliminary evidence on factors affecting medication-related quality of life outcomes from a patient perspective. Future longitudinal studies, along with further psychometric testing of the MRB-QoL measure, are warranted to better understand predictors of MRB-QoL.
To examine resting-state functional MRI (rs-fMRI) networks related to sleep in the context of HIV infection.

rs-fMRI data were collected in 40 HIV-infected (HIV+) individuals at baseline (treatment-naive), 12 week (post-treatment) and one year timepoints. A group of 50 age-matched HIV-negative (HIV-) individuals were also imaged at baseline and one year timepoints. The Pittsburgh Sleep Quality Index (PSQI) questionnaire was administered at all timepoints. Using group independent component analysis (ICA), maps of functional networks were generated from fMRI data; from these, sleep-related networks were selected. A generalized linear model (GLM) was used to analyze if these networks were significantly associated with the PSQI score, and if this relationship was influenced by HIV status/treatment or timepoint.

HIV+ individuals had significantly lower PSQI score after treatment (p=0.022). Networks extracted from group ICA analysis included the anterior and posterior default mode network (DMN), central executive network (CEN), bilateral frontoparietal networks (FPNs), and the anterior cingulate cortex salience network (ACC SN). We found the posterior DMN, right FPN, and ACC SN GLMs showed significantly higher goodness-of-fit after incorporating PSQI data (p = 0.0204, 0.044, 0.044, respectively). Furthermore, the correlation between ACC SN and posterior DMN connectivity was significantly decreased in the HIV+ cohort.

Functional networks such as the DMN, FPN, CEN, and ACC SN are altered in poor sleep, as measured by the PSQI score. Furthermore, the relationship between these networks and PSQI is different in the HIV+ and HIV- populations.
Functional networks such as the DMN, FPN, CEN, and ACC SN are altered in poor sleep, as measured by the PSQI score. Furthermore, the relationship between these networks and PSQI is different in the HIV+ and HIV- populations.
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