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Evaluation of the Clinical Parameters of Patients with Influenza and Covid-19 using Blood Test Data
Pakistan Journal of Medical and Health Sciences ; 16(3):387-390, 2022.
Article in English | EMBASE | ID: covidwho-1819183
ABSTRACT

Objective:

The characteristics of the novel corona virus ailment 2019 (COVID-19) vs influenza were not described, such as blood test data. As a result, we compared the diagnostic features of COVID-19 and flu, along with blood test data. Materials and

Methods:

A cross-sectional study was conducted at Nishtar Hospital, Multan. We enrolled individuals diagnosed with COVID-19 between January 1, 2020, and December 31, 2020, and had they undergo blood tests. In comparing, we enlisted an equal percentage of participants who'd been identified with flu that had blood tests.

Results:

During the course of the study, 228 people were identified of COVID-19 (menwomen ratio, 123 [54.0 percent]105 [46.0 percent];age, 54.68 18.98 years). We also enlisted the help of 228 flu clients (malefemale, 129 [56.6 percent ]99 [43.4 percent ];age, 69.6 21.25 years). Clients with COVID-19 had a vastly greater age range of 15 to 70 years (vs. 71 years), respiratory problems, as well as ennui than someone with flu. Nevertheless, discomfort, a body temperature greater than 38.1oC, as well as a white blood cell count greater than 9000/lL were far more prevalent in flu patient populations.

Conclusions:

Our findings are helpful in distinguishing COVID-19 from flu, so they'll be remarkably helpful for future practice as we understand to interoperate with COVID-19.
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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Experimental Studies / Prognostic study Language: English Journal: Pakistan Journal of Medical and Health Sciences Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Experimental Studies / Prognostic study Language: English Journal: Pakistan Journal of Medical and Health Sciences Year: 2022 Document Type: Article