Cross - sectional study of baseline characteristics, clinical features and biomarkers in patients affected by SARS-CoV-2 in a tertiary care health center in Guntur, Andhra Pradesh


Original Article

Author Details : P V Kalyan Kumar*, G Ramakrishna

Volume : 6, Issue : 1, Year : 2021

Article Page : 49-53

https://doi.org/10.18231/j.ijirm.2021.011



Suggest article by email

Get Permission

Abstract

Background : During the month of December of 2019, a new strain of coronavirus was recognized for the main reason of atypical pneumonia cases in the city of Wuhan in China. This novel virus quickly blowout, causing an epidemic in China in no time, following a global pandemic declared by the World Health Organization in the month of Feb of 2020, nominated this infectious disease as COVID-19.
Aims and objectives of the study: 1. To find out the baseline characteristics of patients suffering from COVID-19 infections. 2. To find out the clinical features among the patients affected. 3. To find out the co-morbid conditions associated with COVID-19 infection
Materials and Methods: The present study is observational cross-sectional study of patients suffering from COVID-19 infected patients affected with corona virus (COVID-19) at Katuri Medical College and Hospital, Guntur, during the period of six months from April 15th 2020 to October 15th 2020. Total of 567 patients included in the study based on the prevalence of COVID-19 infection in India. Inclusion criteria and exclusion criteria used to study the patients in the study.
Results: Among 567 patients included in the study, majority of the patients are males in the ratio of 71:29. Majority of patients are more than 60 years of age with mean of 61.2 +/-15.9. Smoking history affected majority of the patients. 54.1/24.9/21.0 (%). Among the SARS-CoV-2 infected patients 54.1% of the patients are current smokers, who are severely affected when compared to ex-smokers. Most of the patients manifested signs and symptoms within 2 weeks of incubation period. 51% of the total patients
presented with covid-19 is breathlessness with grade 2 and 3 MMRC classification (42%) in majority of the patients and 9% of the patients presented with grade 4 of MMRC classification.42% of the whole patients presented with cough. Majority of the patients presented with fatigue and generalized body pains which constitute around 70.9%. Among the comorbid conditions diabetes mellitus constitute 42.50%, which is the most common comorbid conditions presented. Among the biomarkers and other major investigations, mean D-Dimer is 1100 ng/ml (278-2987) constitute major reliable biomarker for ongoing thrombogenicity of the viral infection following by the serum ferritin with a mean value of 300 ng/ml (278-1198).
Conclusions : Majority of COVID-19 infection patients are male patients of age more than 60 years of age with personal history of smoking. Most of the patients are diabetes followed by systemic hypertension and many people suffered from generalized body pains and fatigue followed by fever and dyspnea with cough. Minority of the patients presented with diarrhea as main chief complaint.

Keywords: COVID19, RTPCR, Severe acute respiratory, syndromerelated coronavirus.


How to cite : Kumar P V K, Ramakrishna G , Cross - sectional study of baseline characteristics, clinical features and biomarkers in patients affected by SARS-CoV-2 in a tertiary care health center in Guntur, Andhra Pradesh. IP Indian J Immunol Respir Med 2021;6(1):49-53


This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.







Article History

Received : 15-01-2021

Accepted : 12-02-2021


View Article

PDF File   Full Text Article


Copyright permission

Get article permission for commercial use

Downlaod

PDF File   XML File   ePub File


Digital Object Identifier (DOI)

Article DOI

https://doi.org/10.18231/j.ijirm.2021.011


Article Metrics






Article Access statistics

Viewed: 1311

PDF Downloaded: 571



Medical Abbreviation List