Change in the Ratio of Mean Platelet Volume (MPV) to Platellet(PLT) in Covid-19 Pneumonia Patients
-
- STATUS
- Recruiting
-
- participants needed
- 156
-
- sponsor
- Gaziosmanpasa Taksim Research and Education Hospital
Summary
Morbidity, mortality and progress depends on systemic inflammation especially in ARDS patients. Previous studies claims that the proportion of mean platellet volume to platellet which can simply be determined with simple blood tests that are performed at admission, might predict the mortality in ARDS patients. Covid-19 pneumonia has a very similar clinical outlook with ARDS. Therefore we decided to research whether that proportion is legitimate for detecting the progress of Covid-19 pneumonia or not.
Description
Covid-19 pneumonia is a spesific disease dispate its similarity to ARDS. There are nomorous of studies that MPV/PLT ratio can predict the mortality, morbidity and the progress of ARDS. Depending on the similarity of ARDS, MPV/PLT ratio might predict the clinical progress of Covid-19 pneumonia. We retrospectively recruited150 patients admitted to our institute -a tertiary center- with Covid-19 pneumonia to our study. Clinical based defining research, by March-May 2020, the patients over 18 years old who were in either intensive care or ward scanned retrospectively. The laboratory tests, chronic diseases , age and gender has been collected from the written resources and electronic data retrospectively.
the patients who are diagnosed with Covid*19 pneumonia will be divided into two groups. The ones in the ward will be considered as mild clinical course, and the ones in the intensive care unit will be considered as severe clinical course. there will be an additional non Covid individuals as a control group, which will consist 52 patients each. The ratio of MPV to PLT will be calculated using admission hemogrames of these groups, and the significance of the statistical differences on determining the prognosis of the disease will be discussed.
Gpower 3 for Mac Os (Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41, 11491160.) was used for istatistical power analysis.It was done using ANOVA test between at least two independent groups. In order to provide enoughsample magnitude power, which is 0.8, it was calculated that each group should have 52 patients which makes at total of 156.
The normal distribution of data will be evaluated using Kolmogorov-Smirnov test. Parametric ones will be used in normal distrubitions, non-parametric ones will be uused in abnormal distrubitions. Between the independent groups, MPV/PLT ratio will be calculated using ANOVA test. Categoric data will be compared by Pearson ki square test and the p values less than 0.05 will be considered as significant.
we aim to have an opinion about Covid 19-pneomonia prognosis at the admission of hospital.
Details
Condition | Coronavirus Infection |
---|---|
Age | 18years - 70years |
Treatment | observation of covid 19 pneumonia |
Clinical Study Identifier | NCT04408378 |
Sponsor | Gaziosmanpasa Taksim Research and Education Hospital |
Last Modified on | 19 February 2024 |
How to participate?
,
You have contacted , on
Your message has been sent to the study team at ,
What happens next?
- You can expect the study team to contact you via email or phone in the next few days.
- Sign up as volunteer to help accelerate the development of new treatments and to get notified about similar trials.
You are contacting
Primary Contact
Additional screening procedures may be conducted by the study team before you can be confirmed eligible to participate.
Learn moreIf you are confirmed eligible after full screening, you will be required to understand and sign the informed consent if you decide to enroll in the study. Once enrolled you may be asked to make scheduled visits over a period of time.
Learn moreComplete your scheduled study participation activities and then you are done. You may receive summary of study results if provided by the sponsor.
Learn moreSimilar trials to consider
Browse trials for
Not finding what you're looking for?
Sign up as a volunteer to stay informed
Every year hundreds of thousands of volunteers step forward to participate in research. Sign up as a volunteer and receive email notifications when clinical trials are posted in the medical category of interest to you.
Sign up as volunteerStudy AnnotationsStudy Notes
Notes added here are public and can be viewed by anyone. Notes added here are only available to you and those who you share with.
Lorem ipsum dolor sit amet consectetur, adipisicing elit. Ipsa vel nobis alias. Quae eveniet velit voluptate quo doloribus maxime et dicta in sequi, corporis quod. Ea, dolor eius? Dolore, vel!
No annotations made yet
Add a private note
- Select a piece of text from the left.
- Add notes visible only to you.
- Send it to people through a passcode protected link.
Study Definition
WikipediaAdd a private note
- Select a piece of text.
- Add notes visible only to you.
- Send it to people through a passcode protected link.