S. Giti, Mohammed Nuruzzaman Bhuiyan, Mohammad Shameem Muntasir Hossen, M. Rahman, Nadia Afroj
{"title":"T细胞亚群中的细胞减少症:严重新冠肺炎的预测因素","authors":"S. Giti, Mohammed Nuruzzaman Bhuiyan, Mohammad Shameem Muntasir Hossen, M. Rahman, Nadia Afroj","doi":"10.3329/jbcps.v40i4.60298","DOIUrl":null,"url":null,"abstract":"Introduction: The outbreak of Coronavirus Disease 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has posed great threat to human health. T cells play a critical role in antiviral immunity but their numbers and functional state in COVID-19 patients remain largely unclear. The present study was carried out at Armed Forces Institute of Pathology (AFIP), Dhaka to assess the degree of cytopenia of T cell subsets in COVID 19 and its association with severity of the disease. The aim of this study is to assess the degree of reduction of T cell subsets in both non severe and severe COVID 19 patients.\nMethods: Total 100 patients having positive result of RTPCR for SARS-CoV-2 and lymphopenia were recruited for this study. Patients were grouped as ICU and non- ICU according to the severity of clinical conditions, consisting of 50 patients in each group. Data of T cell subsets were obtained by flow cytometric analysis of peripheral blood using monoclonal antibodies.\nResults: In this study, the absolute value of CD3+ T cells was below the normal range in 47 (94%) ICU patients. Compared to the non-ICU group, the median absolute value of CD3+ T cells was significantly lowered (P=0.019) in the ICU group. The absolute value of CD4+ T cells was also below the normal range in 91patients (91%). All the patients in the ICU group showed low CD4+ T cell counts. Moreover, a significantly lower median absolute value of CD4+ T cells was observed in the ICU group compared to the non-ICU group (P = 0.004). The absolute value of CD8+ T cells was below the normal range in 64 patients (64%). Similar to CD4+ T cells, compared to the non-ICU group, the median absolute value of CD8+ T cells was significantly lower in the ICU group (P = 0.028).\nConclusion: Significant reduction of T cell subsets occurs in severe COVID-19. Flow cytometric analysis of T cell subsets in COVID 19 patients with absolute lymphopenia can guide the physician to predict the severe outcome of the disease.\nJ Bangladesh Coll Phys Surg 2022; 40: 217-222","PeriodicalId":89579,"journal":{"name":"Journal of Bangladesh College of Physicians & Surgeons","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Cytopenia in T Cell Subsets: A Predictor of Severe COVID-19\",\"authors\":\"S. Giti, Mohammed Nuruzzaman Bhuiyan, Mohammad Shameem Muntasir Hossen, M. Rahman, Nadia Afroj\",\"doi\":\"10.3329/jbcps.v40i4.60298\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduction: The outbreak of Coronavirus Disease 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has posed great threat to human health. T cells play a critical role in antiviral immunity but their numbers and functional state in COVID-19 patients remain largely unclear. The present study was carried out at Armed Forces Institute of Pathology (AFIP), Dhaka to assess the degree of cytopenia of T cell subsets in COVID 19 and its association with severity of the disease. The aim of this study is to assess the degree of reduction of T cell subsets in both non severe and severe COVID 19 patients.\\nMethods: Total 100 patients having positive result of RTPCR for SARS-CoV-2 and lymphopenia were recruited for this study. Patients were grouped as ICU and non- ICU according to the severity of clinical conditions, consisting of 50 patients in each group. Data of T cell subsets were obtained by flow cytometric analysis of peripheral blood using monoclonal antibodies.\\nResults: In this study, the absolute value of CD3+ T cells was below the normal range in 47 (94%) ICU patients. Compared to the non-ICU group, the median absolute value of CD3+ T cells was significantly lowered (P=0.019) in the ICU group. The absolute value of CD4+ T cells was also below the normal range in 91patients (91%). All the patients in the ICU group showed low CD4+ T cell counts. Moreover, a significantly lower median absolute value of CD4+ T cells was observed in the ICU group compared to the non-ICU group (P = 0.004). The absolute value of CD8+ T cells was below the normal range in 64 patients (64%). Similar to CD4+ T cells, compared to the non-ICU group, the median absolute value of CD8+ T cells was significantly lower in the ICU group (P = 0.028).\\nConclusion: Significant reduction of T cell subsets occurs in severe COVID-19. Flow cytometric analysis of T cell subsets in COVID 19 patients with absolute lymphopenia can guide the physician to predict the severe outcome of the disease.\\nJ Bangladesh Coll Phys Surg 2022; 40: 217-222\",\"PeriodicalId\":89579,\"journal\":{\"name\":\"Journal of Bangladesh College of Physicians & Surgeons\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Bangladesh College of Physicians & Surgeons\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3329/jbcps.v40i4.60298\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Bangladesh College of Physicians & Surgeons","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3329/jbcps.v40i4.60298","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cytopenia in T Cell Subsets: A Predictor of Severe COVID-19
Introduction: The outbreak of Coronavirus Disease 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has posed great threat to human health. T cells play a critical role in antiviral immunity but their numbers and functional state in COVID-19 patients remain largely unclear. The present study was carried out at Armed Forces Institute of Pathology (AFIP), Dhaka to assess the degree of cytopenia of T cell subsets in COVID 19 and its association with severity of the disease. The aim of this study is to assess the degree of reduction of T cell subsets in both non severe and severe COVID 19 patients.
Methods: Total 100 patients having positive result of RTPCR for SARS-CoV-2 and lymphopenia were recruited for this study. Patients were grouped as ICU and non- ICU according to the severity of clinical conditions, consisting of 50 patients in each group. Data of T cell subsets were obtained by flow cytometric analysis of peripheral blood using monoclonal antibodies.
Results: In this study, the absolute value of CD3+ T cells was below the normal range in 47 (94%) ICU patients. Compared to the non-ICU group, the median absolute value of CD3+ T cells was significantly lowered (P=0.019) in the ICU group. The absolute value of CD4+ T cells was also below the normal range in 91patients (91%). All the patients in the ICU group showed low CD4+ T cell counts. Moreover, a significantly lower median absolute value of CD4+ T cells was observed in the ICU group compared to the non-ICU group (P = 0.004). The absolute value of CD8+ T cells was below the normal range in 64 patients (64%). Similar to CD4+ T cells, compared to the non-ICU group, the median absolute value of CD8+ T cells was significantly lower in the ICU group (P = 0.028).
Conclusion: Significant reduction of T cell subsets occurs in severe COVID-19. Flow cytometric analysis of T cell subsets in COVID 19 patients with absolute lymphopenia can guide the physician to predict the severe outcome of the disease.
J Bangladesh Coll Phys Surg 2022; 40: 217-222