scholarly journals Prevalence of Anemia and Risk of Adverse Bleeding Effect of Drugs: Implication for Therapy

Anemia ◽  
2012 ◽  
Vol 2012 ◽  
pp. 1-5
Author(s):  
Ezekiel Uba Nwose
Keyword(s):  
Protein Level ◽  
Clinical Pathology ◽  
Concerted Effort ◽  
Progressive Reduction ◽  
Bleeding Effect ◽  
Patients At Risk ◽  
Working Out ◽  
Rural Australia ◽  
Pathology Data ◽  
Prevalence Of Anemia

This study aimed to evaluate the progress in reduction of prevalence of anemia in rural Australia. It also investigates the prevalence of hypoviscosity in anaemia with a view to determine the fraction of anaemic patients at risk of drug-inducible exacerbation of anemia. Archived clinical pathology data () for the period of 1999 to 2008 were utilized. The prevalence of anemia and hypoviscosity was evaluated by working out (i) the number that fell within anemia definition as a percentage of the population and (ii) the number that fell within hypoviscosity definition as a percentage of anemic patients. The prevalence in anemic diabetes and dyslipidaemia was further determined. There was progressive reduction in anemia from 6.1% to 3.2% over the ten years period. Prevalence of anemia is statistically significantly higher in males than in females (), but protein level is lower in anemic females than in anemic males (). The results further show that up to 75% of anemic patients may benefit from NSAID or salicylates. This paper highlights differences between genders. It suggests more concerted effort in men's health and speculates a new factor to investigate in women's health.

Brief Synopsis: “Instruction Manual for Juvenile Clinical Pathology”

2021 ◽  
pp. 019262332110413
Author(s):  
Anne Provencher ◽  
Paula Katavolos
Keyword(s):  
Data Analysis ◽  
Clinical Pathology ◽  
Data Interpretation ◽  
Physiological Functions ◽  
Instruction Manual ◽  
Test Article ◽  
Accurate Interpretation ◽  
Key Points ◽  
Pathology Data

This symposium synopsis summarizes key points discussed related to clinical pathology data interpretation for reproduction and juvenile toxicology studies. In pregnant and growing animals, several changes in clinical pathology parameters linked to growth/maturation of organ and physiological functions can occur, and understanding these changes is important to enable accurate interpretation of clinical pathology data. A brief overview of the general approach to clinical pathology data analysis according to contemporary practices is provided, followed by a discussion focused specifically on reproductive and juvenile clinical pathology. In this context, the approach to recognize and differentiate changes that may be related to pregnancy and growth as opposed to those that may be related to test article effects is highlighted.

Clinical Pathology Data

1959 ◽  
Vol 32 (1) ◽  
pp. 80.1-80
Author(s):  
Bradley E. Copeland
Keyword(s):  
Clinical Pathology ◽  
Pathology Data

scholarly journals Recognizing and Reducing Analytical Errors and Sources of Variation in Clinical Pathology Data in Safety Assessment Studies

2016 ◽  
Vol 45 (2) ◽  
pp. 281-287 ◽  
Author(s):  
A. E. Schultze ◽  
A. R. Irizarry
Keyword(s):  
Diagnostic Testing ◽  
Control Sample ◽  
Clinical Pathology ◽  
Laboratory Errors ◽  
Data Errors ◽  
Data Variability ◽  
Sources Of Variation ◽  
Analytical Errors ◽  
And Training ◽  
Pathology Data

Veterinary clinical pathologists are well positioned via education and training to assist in investigations of unexpected results or increased variation in clinical pathology data. Errors in testing and unexpected variability in clinical pathology data are sometimes referred to as “laboratory errors.” These alterations may occur in the preanalytical, analytical, or postanalytical phases of studies. Most of the errors or variability in clinical pathology data occur in the preanalytical or postanalytical phases. True analytical errors occur within the laboratory and are usually the result of operator or instrument error. Analytical errors are often ≤10% of all errors in diagnostic testing, and the frequency of these types of errors has decreased in the last decade. Analytical errors and increased data variability may result from instrument malfunctions, inability to follow proper procedures, undetected failures in quality control, sample misidentification, and/or test interference. This article (1) illustrates several different types of analytical errors and situations within laboratories that may result in increased variability in data, (2) provides recommendations regarding prevention of testing errors and techniques to control variation, and (3) provides a list of references that describe and advise how to deal with increased data variability.

scholarly journals Interpreting and Integrating Clinical and Anatomic Pathology Results

2016 ◽  
Vol 45 (1) ◽  
pp. 223-237 ◽  
Author(s):  
Lila Ramaiah ◽  
Mary Jane Hinrichs ◽  
Elizabeth V. Skuba ◽  
William O. Iverson ◽  
Daniela Ennulat
Keyword(s):  
Meta Analysis ◽  
Clinical Pathology ◽  
Weight Of Evidence ◽  
Basic Principles ◽  
Case Examples ◽  
Anatomic Pathology ◽  
Renal Biomarker ◽  
The Relationship ◽  
Anatomical Pathology ◽  
Pathology Data

The continuing education course on integrating clinical and anatomical pathology data was designed to communicate the importance of using a weight of evidence approach to interpret safety findings in toxicology studies. This approach is necessary, as neither clinical nor anatomic pathology data can be relied upon in isolation to fully understand the relationship between study findings and the test article. Basic principles for correlating anatomic pathology and clinical pathology findings and for integrating these with other study end points were reviewed. To highlight these relationships, a series of case examples, presented jointly by a clinical pathologist and an anatomic pathologist, were used to illustrate the collaborative effort required between clinical and anatomical pathologists. In addition, the diagnostic utility of traditional liver biomarkers was discussed using results from a meta-analysis of rat hepatobiliary marker and histopathology data. This discussion also included examples of traditional and novel liver and renal biomarker data implementation in nonclinical toxicology studies to illustrate the relationship between discrete changes in biochemistry and tissue morphology.

A Microcomputer-Based Data Acquisition and Reporting System for Clinical Pathology Data from Animal Drug Toxicology Studies

1989 ◽  
Vol 23 (2) ◽  
pp. 285-296 ◽  
Author(s):  
Alan M. Daly ◽  
Ronald A. Martin ◽  
Edward J. McGuire ◽  
Carlo J. Di Fonzo
Keyword(s):  
Data Acquisition ◽  
Reporting System ◽  
Clinical Pathology ◽  
Pathology Data
Sign in / Sign up

Export Citation Format

Share Document