scholarly journals Quantitative Assessment of Age and Gender Related Changes in Human Lacrimal Fluid Composition in Subjects

2021 ◽  
pp. 89-99
Author(s):  
Ohwin Ejiro Peggy ◽  
Ofulue Ofioritse Ogheneyoma ◽  
Nwogueze Bartholomew Chukwuebuka ◽  
Agbonifo-Chiiokwu Ejime ◽  
Omeru Oghenerukevwe ◽  
...  
Keyword(s):  
Flow Rate ◽  
Bacterial Infections ◽  
Quantitative Assessment ◽  
Tear Fluid ◽  
Fluid Composition ◽  
Blink Rate ◽  
Phenol Red ◽  
Age And Gender ◽  
Lacrimal Fluid ◽  
And Gender

Purpose: The frequency of eyelids blink rate has effect on the integrity of the tear fluid and replacement of old of tears on the ocular surface. Comprehension of the effect of advancing age and gender on tears fluid stability and quality is contentious. Basal tears continuously bathe the ocular facet lubricating and providing protection from viral and bacterial infections, cooling the surface as warmth encourages pathogen. Basal tear dysfunction basically results in conjunctival and corneal conditions which exposes the ocular facet to dryness, ulceration, opacity and even blindness. This study determined the quantitative assessment of age and gender related changes in human lacrimal fluid composition in subjects Methods: The design involved 400 (192 males and 208 females) human subjects aged 6 years and above who do not wear contact lenses, not on topical medication and having healthy eyes grouped into twelve groups based on age and gender.  Maximum blink interval (for tear break-up time) and phenol red thread procedure (for tear volume) were carried out monocularly for each subject. Results: Findings from this study have established that tear fluid stability among different age groups; are often higher for group 6-12years and lower for 60years and above; therefore, study established that tear fluid stability is age dependent. In addition, tear fluid stability (average MBI. Tear volume and flow rate) are gender independent. Conclusion: The present study revealed that tears fluid breakup time increases with decrease in tears fluid flow rate, volume and flow.

Age- and Gender-Related Differences in Human Lacrimal Fluid Peroxidase Activity

2003 ◽  
Vol 217 (4) ◽  
pp. 294-297 ◽  
Author(s):  
Giordana Marcozzi ◽  
Veronica Liberati ◽  
Federica Madia ◽  
Marco Centofanti ◽  
Giuseppe de Feo
Keyword(s):  
Peroxidase Activity ◽  
Age And Gender ◽  
Lacrimal Fluid ◽  
And Gender

Flow Rate and Composition of Whole Saliva in Rural and Urban Tanzania with Special Reference to Diet, Age, and Gender

1994 ◽  
Vol 28 (6) ◽  
pp. 468-476 ◽  
Author(s):  
M.C. Mazengo ◽  
E. Söderling ◽  
P. Alakuijala ◽  
J. Tiekso ◽  
J. Tenovuo ◽  
...  
Keyword(s):  
Special Reference ◽  
Flow Rate ◽  
Age And Gender ◽  
Rural And Urban ◽  
Whole Saliva ◽  
And Gender

scholarly journals Association Patterns in Open Data to Explore Ciprofloxacin Adverse Events

2015 ◽  
Vol 06 (04) ◽  
pp. 728-747 ◽  
Author(s):  
P. Yildirim
Keyword(s):  
Adverse Event ◽  
Adverse Events ◽  
Bacterial Infections ◽  
Adverse Event Reporting System ◽  
Research Field ◽  
High Morbidity ◽  
Apriori Algorithm ◽  
Age And Gender ◽  
Specific Distribution ◽  
And Gender

SummaryBackground: Ciprofloxacin is one of the main drugs to treat bacterial infections. Bacterial infections can lead to high morbidity, mortality, and costs of treatment in the world. In this study, an analysis was conducted using the U.S. Food and Drug Administration (FDA) Adverse Event Reporting System (AERS) database on the adverse events of ciprofloxacin.Objectives: The aim of this study was to explore unknown associations among the adverse events of ciprofloxacin, patient demographics and adverse event outcomes.Methods: A search of FDA AERS reports was performed and some statistics was highlighted. The most frequent adverse events and event outcomes of ciprofloxacin were listed, age and gender specific distribution of adverse events are reported, then the apriori algorithm was applied to the dataset to obtain some association rules and objective measures were used to select interesting ones. Furthermore, the results were compared against classical data mining algorithms and discussed.Results: The search resulted in 6 531 reports. The reports included within the dataset consist of 3 585 (55.8%) female and 2 884 (44.1%) male patients. The mean age of patients is 54.59 years. Preschool child, middle aged and aged groups have most adverse events reports in all groups. Pyrexia has the highest frequency with ciprofloxacin, followed by pain, diarrhoea, and anxiety in this order and the most frequent adverse event outcome is hospitalization. Age and gender based differences in the events in patients were found. In addition, some of the interesting associations obtained from the Apriori algorithm include not only psychiatric disorders but specifically their manifestation in specific gender groups.Conclusions: The FDA AERS offers an important data resource to identify new or unknown adverse events of drugs in the biomedical domain. The results that were obtained in this study can provide valuable information for medical researchers and decision makers at the pharmaceutical research field.

Empirical Analysis of Clinical Evaluations on Children Involved in the Child Protection System: The Role of Age and Gender

2000 ◽  
Author(s):  
Erika Felix ◽  
Anjali T. Naik-Polan ◽  
Christine Sloss ◽  
Lashaunda Poindexter ◽  
Karen S. Budd
Keyword(s):  
Empirical Analysis ◽  
Child Protection ◽  
Protection System ◽  
Age And Gender ◽  
Clinical Evaluations ◽  
And Gender

Effect of antihistamine, age, and gender on task performance

1999 ◽  
Author(s):  
Kirby Gilliland ◽  
Robert E. Schlegel ◽  
Thomas E. Nesthus
Keyword(s):  
Task Performance ◽  
Age And Gender ◽  
And Gender
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