scholarly journals A Novel Method of Establishing the Identity of an Individual by Analyzing the Pattern & Volume of the Frontal Sinus Using Computerized Tomogram – A Retrospective Cross Sectional Study

2020 ◽  
Keyword(s):  
Frontal Sinus ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Novel Method

Novel method of calculating adjusted antibiotic use by microbiological burden

2021 ◽  
pp. 1-6
Author(s):  
Hana R. Winders ◽  
Majdi N. Al-Hasan ◽  
Bruce M. Jones ◽  
Darrell T. Childress ◽  
Kayla R. Stover ◽  
...  
Keyword(s):  
Antibiotic Use ◽  
Cross Sectional Study ◽  
Resistant Bacteria ◽  
Bacterial Isolates ◽  
Sectional Study ◽  
Cross Sectional ◽  
Vancomycin Resistant Enterococci ◽  
Days Of Therapy ◽  
Novel Method ◽  
Vancomycin Resistant

Abstract Objective: To determine the usefulness of adjusting antibiotic use (AU) by prevalence of bacterial isolates as an alternative method for risk adjustment beyond hospital characteristics. Design: Retrospective, observational, cross-sectional study. Setting: Hospitals in the southeastern United States. Methods: AU in days of therapy per 1,000 patient days and microbiologic data from 2015 and 2016 were collected from 26 hospitals. The prevalences of Pseudomonas aeruginosa, extended-spectrum β-lactamase (ESBL)–producing bacteria, methicillin-resistant Staphylococcus aureus (MRSA), and vancomycin-resistant enterococci (VRE) were calculated and compared to the average prevalence of all hospitals in the network. This proportion was used to calculate the adjusted AU (a-AU) for various categories of antimicrobials. For example, a-AU of antipseudomonal β-lactams (APBL) was the AU of APBL divided by (prevalence of P. aeruginosa at that hospital divided by the average prevalence of P. aeruginosa). Hospitals were categorized by bed size and ranked by AU and a-AU, and the rankings were compared. Results: Most hospitals in 2015 and 2016, respectively, moved ≥2 positions in the ranking using a-AU of APBL (15 of 24, 63%; 22 of 26, 85%), carbapenems (14 of 23, 61%; 22 of 25; 88%), anti-MRSA agents (13 of 23, 57%; 18 of 26, 69%), and anti-VRE agents (18 of 24, 75%; 15 of 26, 58%). Use of a-AU resulted in a shift in quartile of hospital ranking for 50% of APBL agents, 57% of carbapenems, 35% of anti-MRSA agents, and 75% of anti-VRE agents in 2015 and 50% of APBL agents, 28% of carbapenems, 50% of anti-MRSA agents, and 58% of anti-VRE agents in 2016. Conclusions: The a-AU considerably changes how hospitals compare among each other within a network. Adjusting AU by microbiological burden allows for a more balanced comparison among hospitals with variable baseline rates of resistant bacteria.

scholarly journals A Novel Method for Measuring Myocardial Performance Index using Non-contact Ballistocardiogram System

2021 ◽  
pp. 1-12
Author(s):  
K. R. Nishanth ◽  
Aashit Singh ◽  
Gaurav Parchani ◽  
Gulshan Kumar ◽  
Vibhor Saran ◽  
...  
Keyword(s):  
Systolic Time Intervals ◽  
Cross Sectional Study ◽  
Strong Positive Correlation ◽  
Sectional Study ◽  
Tei Index ◽  
Time Intervals ◽  
Cross Sectional ◽  
Calculation Algorithms ◽  
Systolic Time ◽  
Novel Method

Aim: The aim was to validate the Systolic Time Intervals (STI) measured by Ballistocardiography (BCG) with STI derived from simultaneously performed Transthoracic Echocardiogram (TTE) and attempt to create an AI algorithm that automatically calculates Tei Index from BCG tracings. Study design:  Cross-sectional study. Place and Duration of Study: Department of Cardiology and Department of Electrophysiology of Sri Jayadeva Institute of Cardiovascular Sciences & Research, Bangalore, India, between January 2020 and January 2021. Methodology: Two hundred seventy-four patients with clinically indicated TTE were enrolled in the study, average age was 52. Simultaneous recordings on BCG and TTE were done. 150 patients had clinically usable TTE images for accurate calculations. STI was calculated independently by operators experienced in TTE and BCG. Results were compared using Pearson’s R. A proprietary AI algorithm for automatically calculating the MPI, was trained over a subset of patients. Its accuracy in detecting STI was compared to that of TTE and manually calculated STI from BCG. Results: There was a strong positive correlation (r=0.766, P<0.00, 99%CI [0.691,0.824]) between the TTE and BCG derived MPI values. The result was validated over predetermined subgroups of subjects with reduced EF (EF<50) and subjects with normal EF (EF>=50). The AI algorithm had correlation of 0.54(p<0.01) with the MPI calculated by TTE and 0.34(P<0.10) with the manually calculated MPI on the BCG. Conclusion: BCG derived manual and automated MPI correlates well with TTE derived MPI in a variety of EF fraction subgroups. Automated calculation algorithms for MPI derived from BCG remain a work under progress.

Does a Graduate Course in Fluency Disorders Make a Difference?

2010 ◽  
Vol 20 (1) ◽  
pp. 10-14 ◽  
Author(s):  
Evelyn R. Klein ◽  
Barbara J. Amster
Keyword(s):  
Undergraduate Students ◽  
Graduate Programs ◽  
The United States ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Graduate Course ◽  
Cross Sectional ◽  
Fluency Disorders ◽  
Introductory Course ◽  
Communicative Disorders

Abstract A study by Yaruss and Quesal (2002), based on responses from 134 of 239 ASHA accredited graduate programs, indicated that approximately 25% of graduate programs in the United States allow students to earn their degree without having coursework in fluency disorders and 66% of programs allow students to graduate without clinical experience treating people who stutter (PWS). It is not surprising that many clinicians report discomfort in treating PWS. This cross-sectional study compares differences in beliefs about the cause of stuttering between freshman undergraduate students enrolled in an introductory course in communicative disorders and graduate students enrolled and in the final weeks of a graduate course in fluency disorders.

Confidence toward vaccination as reported by parents of children admitted to a tertiary care hospital in Riyadh, Saudi Arabia: A cross sectional study

Vacunas ◽  
2020 ◽  
Vol 21 (2) ◽  
pp. 95-104 ◽  
Author(s):  
Y.M. AlGoraini ◽  
N.N. AlDujayn ◽  
M.A. AlRasheed ◽  
Y.E. Bashawri ◽  
S.S. Alsubaie ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Cross Sectional Study ◽  
Care Hospital ◽  
Sectional Study ◽  
Cross Sectional
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