Role of prognostic factors in understanding disease severity in COVID-19 patients: Pakistan ordinance factories Hospital experience

Rifat Yasmin, Huma Hussain, Syeda Turab Fatima Abidi, Syed Asim Ali Shah, Lubna Ghazal, Tazaeen Hina Kazmi
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Abstract

BACKGROUND & OBJECTIVE: Coronavirus disease (COVID-19) is an emerging public health challenge. Study was conducted to determine the association of prognostic factors with disease severity in COVID-19 patients at POF Hospital, Wah Cantt. We conductedadescriptivecross-sectional study at a department of Medicine, POF Hospital, Wah Medical College (affiliated with National University of Medical Sciences) Wah Cantt. METHODOLOGY: We calculateda sample size of 158 patients (WHO Calculator). The study duration was 6 months (November 2020-April 2021).The selection of COVID patients was done through non probability sampling (consecutive). Respiratory sample for all participating patients were collected (from throat or sputum). These samples were tested for SARS-CoV-2 using WHO standard. SPSS version 24 was utilized for data analysis purpose. Chi square test and independent t-test were applied. Logistic regression was applied. RESULTS:Total data consist of 158 patients with COVID-19. Mean age of patients was52.3±3.26 years. Total leukocytes count (p=0.02), absolute neutrophil count (p=0.000), C reactive protein (p=0.000), NLR (p=0.03) were comparatively greater in patients with Severe COVID-19. While absolute lymphocyte were significantly lower in severe COVID-19 patients as compared to non-severe (p=0.03). Age[OR, 1.06 ;95% CI (1.027-1.114);p=0.01], diabetes mellitus[OR, 0.281 ;95% CI (0.100-0.788) p=0.016 and Hypertension [OR, 3.045 ;(1.044-8.878)95% CI p=0.04] are significant predictors of COVID-19 severity CONCLUSION:Prognostic factors of COVID-19 increased the likelihood of disease progression. C reactive protein andALC were significant predictors of COVID-19.
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预后因素在了解COVID-19患者疾病严重程度中的作用:巴基斯坦法令工厂医院经验
背景与目的:冠状病毒病(COVID-19)是一种新兴的公共卫生挑战。本研究旨在确定华康POF医院COVID-19患者预后因素与疾病严重程度的关系。我们在华康医学院(国立医科大学附属)POF医院医学部进行了描述性横断面研究。方法:我们计算158例患者的样本量(WHO计算器)。研究时间为6个月(2020年11月- 2021年4月)。采用非概率抽样(连续)的方法选择新冠肺炎患者。收集所有患者的呼吸道样本(咽喉或痰液)。这些样本按照世卫组织标准进行了SARS-CoV-2检测。使用SPSS version 24进行数据分析。采用卡方检验和独立t检验。采用Logistic回归分析。结果:共158例COVID-19患者。患者平均年龄52.3±3.26岁。重症患者白细胞总数(p=0.02)、绝对中性粒细胞计数(p=0.000)、C反应蛋白(p=0.000)、NLR (p=0.03)明显高于重症患者。重症患者的绝对淋巴细胞明显低于非重症患者(p=0.03)。年龄[OR, 1.06;95% CI (1.027 ~ 1.114);p=0.01]、糖尿病[OR, 0.281;95% CI (0.100 ~ 0.788) p=0.016]和高血压[OR, 3.045;(1.044 ~ 8.878)95% CI p=0.04]是COVID-19严重程度的重要预测因素。结论:COVID-19的预后因素增加疾病进展的可能性。C反应蛋白和alc是COVID-19的显著预测因子。
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