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Liu H, Guo N, Zheng Q, Zhang Q, Chen J, Cai Y, Luo Q, Xu Q, Chen X, Yang S, Zhang S. Association of interleukin-6, ferritin, and lactate dehydrogenase with venous thromboembolism in COVID-19: a systematic review and meta-analysis. BMC Infect Dis 2024; 24:324. [PMID: 38493138 PMCID: PMC10943892 DOI: 10.1186/s12879-024-09205-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 03/07/2024] [Indexed: 03/18/2024] Open
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19) is frequntly accompanied by venous thromboembolism (VTE), and its mechanism may be related to the abnormal inflammation and immune status of COVID-19 patients. It has been proved that interleukin-6 (IL-6), ferritin and lactate dehydrogenase (LDH) may play an important role in the occurrence of VTE in COVID-19 infection. But whether they can server as predictors for VTE in COVID-19 is still unclear. In this study, we performed a systematic review and meta-analysis to compare IL-6, ferritin and LDH in VTE and non-VTE COVID-19 patients in order to shed light on the prevention and treatment of VTE. METHODS Related literatures were searched in PubMed, Embase, Web of Science, Google Scholar, China National Knowledge Infrastructure (CNKI), WANGFANG. COVID-19 patients were divided into VTE group and non-VTE group. Meta-analysis was then conducted to compare levels of IL-6, ferritin and LDH between the two groups. RESULTS We finally included and analyzed 17 literatures from January 2019 to October 2022. There was a total of 7,035 COVID-19 patients, with a weighted mean age of 60.01 years. Males accounted for 62.64% and 61.34% patients were in intensive care unit (ICU). Weighted mean difference (WMD) of IL-6, ferritin and LDH was 31.15 (95% CI: 9.82, 52.49), 257.02 (95% CI: 51.70, 462.33) and 41.79 (95% CI: -19.38, 102.96), respectively. The above results indicated that than compared with non-VTE group, VTE group had significantly higher levels of IL-6 and ferritin but similar LDH. CONCLUSION This systematic review and meta-analysis pointed out that elevated levels of IL-6 and ferritin were significantly possitive associated with VTE, thus could be used as biological predictive indicators of VTE among COVID-19 patients. However, no association was found between level of LDH and VTE. Therefore, close monitoring of changes in IL-6 and ferritin concentrations is of great value in assisting clinicans to rapidly identify thrombotic complications among COVID-19 patients, hence facilitating the timely effective managment. Further studies are required in terms of the clinical role of cytokines in the occurrence of VTE among COVID-19 infection, with more reliable systematic controls and interventional trials.
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Affiliation(s)
- Haiyu Liu
- Department of Pulmonary and Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, P.R. China
| | - Ningjing Guo
- Department of Oncology Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, P.R. China
| | - Qixian Zheng
- Department of Pulmonary and Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, P.R. China
| | - Qianyuan Zhang
- Department of General Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, P.R. China
| | - Jinghan Chen
- Department of Oncology Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, P.R. China
| | - Yuanyuan Cai
- Department of General Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, P.R. China
| | - Qiong Luo
- Department of Oncology Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, P.R. China
| | - Qian Xu
- Department of Oncology Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, P.R. China
| | - Xiangqi Chen
- Department of Pulmonary and Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, P.R. China.
- Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Fuzhou, Fujian, 350001, P.R. China.
| | - Sheng Yang
- Department of Oncology Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, P.R. China.
- Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Fuzhou, Fujian, 350001, P.R. China.
| | - Suyun Zhang
- Department of Internal Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, P.R. China.
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Sheng L, Hu M, Ji C, Xu X. Several laboratory variables indicate severity and prognosis of COVID-19. J Int Med Res 2024; 52:3000605231222428. [PMID: 38194472 PMCID: PMC10777798 DOI: 10.1177/03000605231222428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 12/01/2023] [Indexed: 01/11/2024] Open
Abstract
OBJECTIVE While several laboratory variables have been used to assess COVID-19 disease, to our knowledge, no attempt has previously been made to compare differences across different patient groups. We attempted to evaluate the relationship between laboratory variables and severity of the disease as well as on prognosis. METHOD We searched BioLINCC database and identified three studies which had separately included outpatients, inpatients, and ICU patients. For this re-analysis, we extracted data on general demography, laboratory variables and outcome. RESULT In total, 2454 participants (496 outpatients [Study 1], 478 inpatients [Study 2], and 1480 ICU patients [Study 3]) were included in the analysis. We found three laboratory variables (i.e., creatinine, aspartate transferase, and albumin) were not only prognostic factors for outcome of inpatients with COVID-19, but also reflected disease severity as they were significantly different between inpatients and ICU patients. These three laboratory variables are an indication of kidney function, liver function, and nutritional status. CONCLUSION For patients with COVID-19, in addition to monitoring infectious disease indicators, we need to pay attention to liver function, renal function, and take timely measures to correct them to improve prognosis.
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Affiliation(s)
- Lingxiang Sheng
- Department of Critical Medicine, Tongde Hospital of Zhejiang Province, China
| | - Mahong Hu
- Department of Critical Medicine, Tongde Hospital of Zhejiang Province, China
| | - Conghua Ji
- School of Public Health, Zhejiang Chinese Medical University, China
- Institute of Respiratory Diseases, Zhejiang Chinese Medical University, China
| | - Xiujuan Xu
- Department of Critical Medicine, Tongde Hospital of Zhejiang Province, China
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Basavaraj RGS, Malladad RB, Ashwini R, Reddy M. Linking D-Dimer and haematological parameters among Indian COVID 19 patients. Bioinformation 2023; 19:1179-1183. [PMID: 38250537 PMCID: PMC10794750 DOI: 10.6026/973206300191179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 12/31/2023] [Accepted: 12/31/2023] [Indexed: 01/23/2024] Open
Abstract
The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) outbreak continues to place a significant strain on healthcare systems, economies, and patient management. Therefore, it is of interest to evaluate the role of D-Dimer and haematological parameters to identify severity and outcome of COVID 19 patients. Total 100 cases diagnosed with COVID 19 were recruited in the study and followed up for 6 months. The subjects were grouped into 2, Group 1: Newly Diagnosed COVID 19 Patients and Group 2: After 6 months of follow up COVID 19 Patients. We analyzed Hb, RBCs, WBCs, PT, APTT and D-Dimer and also, we taken CT values of the study subjects. A statistical analysis was done by using SPSS version 20.0. The WBCs and haemoglobin mean values are shown significant values between the study subjects, respectively with p-values < 0.001**. The PT and APTT significantly increased in newly diagnosed COVID 19 patients when compared to after 6 months of follow up at p-value < 0.001**. There was a positive correlation of WBCs, PT, APTT (r= 0.458, 526, 509) with D-Dimer and negatively correlated RBCS, Hb, CT (-0.056, 321, 526, 353), respectively at p < 0.001**. Thus, low platelet, high d-dimer, and fibrinogen may serve as risk markers for the progression of COVID-19 severity. Hence, COVID-19 patients may experience anaemia-related consequences as hypoxia, coronary and pulmonary failure due to low Hb concentration. Further, patients with COVID-19 also experience bleeding issues due to thrombocytopenia.
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Affiliation(s)
- Rashmi GS Basavaraj
- Department of Pathology, Haveri Institute of Medical Sciences, Haveri, Karnataka, India
| | - Ravikumar B Malladad
- Department of Emergency Medicine, Subbaiah Institute of Medical Sciences, Karnataka, India
| | - Ratnakar Ashwini
- Department of General Pathology, KAHER's JNMC, Belagavi, Karnataka, India
| | - Manasa Reddy
- Consultant Pathologist, Sri Padma Gastro Care Clinic, Karnataka, India
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Sidhwani SK, Mirza T, Khatoon A, Shaikh F, Khan R, Shaikh OA, Nashwan AJ. Inflammatory markers and COVID-19 disease progression. J Infect Public Health 2023; 16:1386-1391. [PMID: 37442012 PMCID: PMC10290960 DOI: 10.1016/j.jiph.2023.06.018] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 06/02/2023] [Accepted: 06/21/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND The COVID-19 pandemic has resulted in a global humanitarian crisis. Despite ongoing research, transmission risks and many disease characteristics remained unclear. Most patients have displayed elevated levels of certain inflammatory markers, which we sought to investigate further in relation to disease severity. The aim of this study was to examine the correlation between inflammatory markers and the severity of COVID-19 among patients. METHODS We conducted a cross-sectional study from April to September 2020, involving 143 COVID-19 PCR-positive patients from Ziauddin Hospital. Electronic patient records provided data on demographics, clinical status, and laboratory results. RESULTS The majority of PCR-positive patients were elderly males with comorbidities such as diabetes and hypertension. Almost all patients exhibited increased levels of various inflammatory markers, with procalcitonin (97.2%) being the most common. Statistically significant differences were observed in the levels of TLC (p = 0.005), CRP (p = 0.001), LDH (p = 0.001), Ferritin (p = 0.001), D-dimer (p = 0.001), and procalcitonin (p = 0.028), in relation to COVID-19 severity. CONCLUSIONS The data suggest a significant association between levels of inflammatory markers and COVID-19 severity. All markers, except procalcitonin, demonstrated a significant correlation with disease severity. These results could enhance our understanding of COVID-19 pathogenesis and help predict and manage severe cases.
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Affiliation(s)
| | - Talat Mirza
- Department of Molecular Medicine, Ziauddin University, Pakistan; Department of Research, Ziauddin University, Pakistan.
| | - Ambrina Khatoon
- Department of Molecular Medicine, Ziauddin University, Pakistan.
| | - Fouzia Shaikh
- Department of Pathology, Ziauddin University, Pakistan.
| | - Rizma Khan
- Department of Molecular Genetics, Ziauddin University, Pakistan.
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Mendieta-Gutiérrez C, Chávez-González S, Rodríguez-Romero BI, Sánchez-Garrido JA, Figueroa-Gómez A, Licona-Vela JB, Juárez-Pérez AC, Cabello-López A, Aguilar-Madrid G, Jiménez-Ramírez C. Establishment of reference intervals for complete blood count in times of COVID-19 and vaccination. Biochem Med (Zagreb) 2023; 33:020701. [PMID: 37143716 PMCID: PMC10152613 DOI: 10.11613/bm.2023.020701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 01/15/2023] [Indexed: 05/06/2023] Open
Abstract
Introduction COVID-19 and vaccination may affect some parameters of the complete blood count (CBC). The aim of this study was to determine reference intervals (RI) of CBC in healthy population with different COVID-19 and vaccination backgrounds and compare them with those established previously. Materials and methods A cross-sectional study was conducted in donors who attended the Traumatology Hospital "Dr. Victorio de la Fuente Narváez" (HTVFN) from June to September 2021. Reference intervals were established using the non-parametric method on Sysmex XN-1000. For differences between groups with different COVID-19 and vaccination backgrounds, non-parametric tests were used. Results The RI were established in 156 men and 128 women. Haemoglobin (Hb), haematocrit (Hct), red blood cells (RBC), platelets (Plt), mean platelets volume (MPV), monocytes and relative neutrophils were higher in men than women (P < 0.001). The percentiles of Hb, Hct, RBC, MPV and relative monocytes showed higher values; Plt, white blood cells (WBC), lymphocytes, monocytes, neutrophils, eosinophils and absolute basophils, the 2.5th was higher and the 97.5th was lower; for lymphocytes and relative neutrophils, both percentiles had a trend toward lower values, compared to previous RI. Differences between groups with different COVID-19 and vaccination backgrounds, in lymphocytes (P = 0.038), neutrophils (P = 0.017) and eosinophils (P = 0.018) in men; Hct (P = 0.014), RDW (P = 0.023) in women and MPV (P = 0.001) in both, were not considered pathological. Conclusions The RI for the CBC were established in a Mestizo-Mexican population with different COVID-19 and vaccination backgrounds, so should be updated and validated in different hospitals close to the HTVFN that use the same analyser.
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Affiliation(s)
- Claudia Mendieta-Gutiérrez
- Clinical Analysis Laboratory, Traumatology Hospital “Dr. Victorio de la Fuente Narváez”, High Specialty Medical Unit, Mexican Social Security Institute (IMSS), Mexico City, México
| | | | - Brenda Ivonne Rodríguez-Romero
- Clinical Analysis Laboratory, Traumatology Hospital “Dr. Victorio de la Fuente Narváez”, High Specialty Medical Unit, Mexican Social Security Institute (IMSS), Mexico City, México
| | - Jazmín Anahí Sánchez-Garrido
- Clinical Analysis Laboratory, Traumatology Hospital “Dr. Victorio de la Fuente Narváez”, High Specialty Medical Unit, Mexican Social Security Institute (IMSS), Mexico City, México
| | - Arturo Figueroa-Gómez
- Clinical Analysis Laboratory, Traumatology Hospital “Dr. Victorio de la Fuente Narváez”, High Specialty Medical Unit, Mexican Social Security Institute (IMSS), Mexico City, México
| | - Jesús Bernabé Licona-Vela
- Clinical Analysis Laboratory, Traumatology Hospital “Dr. Victorio de la Fuente Narváez”, High Specialty Medical Unit, Mexican Social Security Institute (IMSS), Mexico City, México
| | | | - Alejandro Cabello-López
- Occupational Health Research Unit, National Medical Center “Siglo XXI”, IMSS, Mexico City, México
| | - Guadalupe Aguilar-Madrid
- Department of Public Health, Faculty of Medicine, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
| | - Carmina Jiménez-Ramírez
- Clinical Analysis Laboratory, Traumatology Hospital “Dr. Victorio de la Fuente Narváez”, High Specialty Medical Unit, Mexican Social Security Institute (IMSS), Mexico City, México
- Corresponding author:
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6
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Wang H, Liu C, Xie X, Niu M, Wang Y, Cheng X, Zhang B, Zhang D, Liu M, Sun R, Ma Y, Ma S, Wang H, Zhu G, Lu Y, Huang B, Su P, Chen X, Zhao J, Wang H, Shen L, Fu L, Huang Q, Yang Y, Wang H, Wu C, Ge W, Chen C, Huo Q, Wang Q, Wang Y, Geng L, Xie Y, Xie Y, Liu L, Qi J, Chen H, Wu J, Jiang E, Jiang W, Wang X, Shen Z, Guo T, Zhou J, Zhu P, Cheng T. Multi-omics blood atlas reveals unique features of immune and platelet responses to SARS-CoV-2 Omicron breakthrough infection. Immunity 2023:S1074-7613(23)00224-8. [PMID: 37257450 DOI: 10.1016/j.immuni.2023.05.007] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 02/19/2023] [Accepted: 05/11/2023] [Indexed: 06/02/2023]
Abstract
Although host responses to the ancestral SARS-CoV-2 strain are well described, those to the new Omicron variants are less resolved. We profiled the clinical phenomes, transcriptomes, proteomes, metabolomes, and immune repertoires of >1,000 blood cell or plasma specimens from SARS-CoV-2 Omicron patients. Using in-depth integrated multi-omics, we dissected the host response dynamics during multiple disease phases to reveal the molecular and cellular landscapes in the blood. Specifically, we detected enhanced interferon-mediated antiviral signatures of platelets in Omicron-infected patients, and platelets preferentially formed widespread aggregates with leukocytes to modulate immune cell functions. In addition, patients who were re-tested positive for viral RNA showed marked reductions in B cell receptor clones, antibody generation, and neutralizing capacity against Omicron. Finally, we developed a machine learning model that accurately predicted the probability of re-positivity in Omicron patients. Our study may inspire a paradigm shift in studying systemic diseases and emerging public health concerns.
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Affiliation(s)
- Hong Wang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China.
| | - Cuicui Liu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Xiaowei Xie
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Mingming Niu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Yingrui Wang
- Westlake Intelligent Biomarker Discovery Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, Zhejiang, China; Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, Zhejiang, China; Center for Infectious Disease Research, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang, China
| | - Xuelian Cheng
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Biao Zhang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Dong Zhang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Mengyao Liu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Rui Sun
- Westlake Intelligent Biomarker Discovery Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, Zhejiang, China; Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, Zhejiang, China; Center for Infectious Disease Research, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang, China
| | - Yezi Ma
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Shihui Ma
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Huijun Wang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Guoqing Zhu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Yang Lu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Baiming Huang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Pei Su
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Xiaoyuan Chen
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Jingjing Zhao
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Hongtao Wang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Long Shen
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Lixia Fu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Qianqian Huang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Yang Yang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - He Wang
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, Zhejiang, China
| | - Chunlong Wu
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd., Hangzhou 310024, China
| | - Weigang Ge
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd., Hangzhou 310024, China
| | - Chen Chen
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd., Hangzhou 310024, China
| | - Qianyu Huo
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Qingping Wang
- Organ Transplant Center, Tianjin First Center Hospital, Tianjin 300192, China; NHC Key Laboratory for Critical Care Medicine, Tianjin First Center Hospital, Tianjin 300192, China; Research Institute of Transplant Medicine, Nankai University, Tianjin 300192, China
| | - Ying Wang
- Organ Transplant Center, Tianjin First Center Hospital, Tianjin 300192, China; NHC Key Laboratory for Critical Care Medicine, Tianjin First Center Hospital, Tianjin 300192, China; Research Institute of Transplant Medicine, Nankai University, Tianjin 300192, China
| | - Li Geng
- Organ Transplant Center, Tianjin First Center Hospital, Tianjin 300192, China; NHC Key Laboratory for Critical Care Medicine, Tianjin First Center Hospital, Tianjin 300192, China; Research Institute of Transplant Medicine, Nankai University, Tianjin 300192, China
| | - Yan Xie
- Organ Transplant Center, Tianjin First Center Hospital, Tianjin 300192, China; NHC Key Laboratory for Critical Care Medicine, Tianjin First Center Hospital, Tianjin 300192, China; Research Institute of Transplant Medicine, Nankai University, Tianjin 300192, China
| | - Yi Xie
- Key Research Laboratory for Infectious Disease Prevention for State Administration of Traditional Chinese Medicine, Tianjin Institute of Respiratory Diseases, Tianjin, China; Tianjin Key Laboratory of Lung Regenerative Medicine, Haihe Hospital, Tianjin University, Tianjin, China
| | - Lijun Liu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Jianwei Qi
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Huaiyong Chen
- Key Research Laboratory for Infectious Disease Prevention for State Administration of Traditional Chinese Medicine, Tianjin Institute of Respiratory Diseases, Tianjin, China; Tianjin Key Laboratory of Lung Regenerative Medicine, Haihe Hospital, Tianjin University, Tianjin, China
| | - Junping Wu
- Department of Tuberculosis, Haihe Hospital, Tianjin University, Tianjin, China; Key Research Laboratory for Infectious Disease Prevention for State Administration of Traditional Chinese Medicine, Tianjin Institute of Respiratory Diseases, Tianjin, China; Tianjin Key Laboratory of Lung Regenerative Medicine, Haihe Hospital, Tianjin University, Tianjin, China
| | - Erlie Jiang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Wentao Jiang
- Organ Transplant Center, Tianjin First Center Hospital, Tianjin 300192, China; NHC Key Laboratory for Critical Care Medicine, Tianjin First Center Hospital, Tianjin 300192, China; Research Institute of Transplant Medicine, Nankai University, Tianjin 300192, China
| | - Ximo Wang
- Tianjin Key Laboratory of Lung Regenerative Medicine, Haihe Hospital, Tianjin University, Tianjin, China; Tianjin Key Laboratory of Acute Abdomen Disease Associated Organ Injury and ITCWM Repair, Tianjin, China.
| | - Zhongyang Shen
- Organ Transplant Center, Tianjin First Center Hospital, Tianjin 300192, China; NHC Key Laboratory for Critical Care Medicine, Tianjin First Center Hospital, Tianjin 300192, China; Research Institute of Transplant Medicine, Nankai University, Tianjin 300192, China.
| | - Tiannan Guo
- Westlake Intelligent Biomarker Discovery Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, Zhejiang, China; Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, Zhejiang, China; Center for Infectious Disease Research, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang, China.
| | - Jiaxi Zhou
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China.
| | - Ping Zhu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China.
| | - Tao Cheng
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China.
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7
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Capraru ID, Vulcanescu DD, Bagiu IC, Horhat FG, Popescu IM, Baditoiu LM, Muntean D, Licker M, Radulescu M, Mot IC, Diaconu MM, Marian C. COVID-19 Biomarkers Comparison: Children, Adults and Elders. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:medicina59050877. [PMID: 37241109 DOI: 10.3390/medicina59050877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 04/25/2023] [Accepted: 04/28/2023] [Indexed: 05/28/2023]
Abstract
Background and Objectives: this study aimed to research links between C-reactive protein (CRP), lactate dehydrogenase (LDH), creatinekinase (CK), 25-OH vitamin D (25-OHD), ferritin (FER), high-density lipoprotein cholesterol (HDL)cholesterol and clinical severity in patients from the western part of Romania, and compare their potential use as biomarkers for intensive care units (ICU) admission and death in children, adults and elders. Materials and Methods: this study is a retrospective cohort study, performed on patients positively diagnosed with COVID-19. Available CRP, LDH, CK 25-OH vitamin D, ferritin, HDL cholesterol and clinical severity were recorded. The following were assessed: median group differences, association, correlation and receiver operating characteristic. Results: 381 children, 614 adults and 381 elders were studied between 1 March 2021 and 1 March 2022. Most children and adults presented mild symptomatology (53.28%, 35.02%, respectively), while most elders presented severe symptomatology (30.04%). ICU admission was 3.67% for children, 13.19% for adults and 46.09% for elders, while mortality was 0.79% for children, 8.63% for adults and 25.1% for elders. With the exception of CK, all other biomarkers showed some significant associations with clinical severity, ICU admission and death. Conclusions: CRP, LDH, 25-OH vitamin D, ferritin and HDL are important biomarkers for COVID-19 positive patients, especially in the pediatric population, while CK was mostly within normal ranges.
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Affiliation(s)
- Ionut Dragos Capraru
- Department of Epidemiology, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Sq. Nr.2, 300041 Timisoara, Romania
| | - Dan Dumitru Vulcanescu
- Department of Microbiology, Multidisciplinary Research Center on Antimicrobial Resistance, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Sq. Nr.2, 300041 Timisoara, Romania
- Clinical Laboratory, Emergency Hospital for Children "Louis Turcanu", 300011 Timișoara, Romania
| | - Iulia Cristina Bagiu
- Department of Microbiology, Multidisciplinary Research Center on Antimicrobial Resistance, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Sq. Nr.2, 300041 Timisoara, Romania
- Clinical Laboratory, Emergency Hospital for Children "Louis Turcanu", 300011 Timișoara, Romania
| | - Florin George Horhat
- Department of Microbiology, Multidisciplinary Research Center on Antimicrobial Resistance, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Sq. Nr.2, 300041 Timisoara, Romania
- Clinical Laboratory, Emergency Hospital for Children "Louis Turcanu", 300011 Timișoara, Romania
| | - Irina Maria Popescu
- Department of Epidemiology, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Sq. Nr.2, 300041 Timisoara, Romania
| | - Luminita Mirela Baditoiu
- Department of Epidemiology, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Sq. Nr.2, 300041 Timisoara, Romania
| | - Delia Muntean
- Department of Microbiology, Multidisciplinary Research Center on Antimicrobial Resistance, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Sq. Nr.2, 300041 Timisoara, Romania
- Microbiology Laboratory, "Pius Brinzeu" County Clinical Emergency Hospital, No. 156 L. Rebreanu, 300723 Timisoara, Romania
| | - Monica Licker
- Department of Microbiology, Multidisciplinary Research Center on Antimicrobial Resistance, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Sq. Nr.2, 300041 Timisoara, Romania
- Microbiology Laboratory, "Pius Brinzeu" County Clinical Emergency Hospital, No. 156 L. Rebreanu, 300723 Timisoara, Romania
| | - Matilda Radulescu
- Department of Microbiology, Multidisciplinary Research Center on Antimicrobial Resistance, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Sq. Nr.2, 300041 Timisoara, Romania
| | - Ion Cristian Mot
- ENT Department, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Sq. No. 2, 300041 Timisoara, Romania
| | - Mircea Mihai Diaconu
- Department of Obstetrics and Gynecology, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Catalin Marian
- Department of Biochemistry, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Sq. Nr.2, 300041 Timisoara, Romania
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8
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Siavoshi F, Safavi-Naini SAA, Shirzadeh Barough S, Azizmohammad Looha M, Hatamabadi H, Ommi D, Jalili Khoshnoud R, Fatemi A, Pourhoseingholi MA. On-admission and dynamic trend of laboratory profiles as prognostic biomarkers in COVID-19 inpatients. Sci Rep 2023; 13:6993. [PMID: 37117397 PMCID: PMC10144885 DOI: 10.1038/s41598-023-34166-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 04/25/2023] [Indexed: 04/30/2023] Open
Abstract
This large-scale study aimed to investigate the trend of laboratory tests of patients with COVID-19. Hospitalized confirmed and probable COVID-19 patients in three general hospitals were examined from March 20, 2020, to June 18, 2021. The confirmed and probable COVID-19 patients with known outcomes and valid laboratory results were included. The least absolute shrinkage and selection operator (LASSO) and Cox regression were used to select admittance prognostic features. Parallel Pairwise Comparison of mortality versus survival was used to examine the trend of markers. In the final cohort, 11,944 patients were enrolled, with an in-hospital mortality rate of 21.8%, mean age of 59.4 ± 18.0, and a male-to-female ratio of 1.3. Abnormal admittance level of white blood cells, neutrophils, lymphocytes, mean cellular volume, urea, creatinine, bilirubin, creatine kinase-myoglobin binding, lactate dehydrogenase (LDH), Troponin, c-reactive protein (CRP), potassium, and creatinine phosphokinase reduced the survival of COVID-19 inpatients. Moreover, the trend analysis showed lymphocytes, platelet, urea, CRP, alanine transaminase (ALT), and LDH have a dissimilar trend in non-survivors compared to survived patients. This study proposed a novel approach to find serial laboratory markers. Serial examination of platelet count, creatinine, CRP, LDH, and ALT can guide healthcare professionals in finding patients at risk of deterioration.
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Affiliation(s)
- Fatemeh Siavoshi
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Seyed Amir Ahmad Safavi-Naini
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Siavash Shirzadeh Barough
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mehdi Azizmohammad Looha
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hamidreza Hatamabadi
- Safety Promotion and Injury Prevention Research Center, Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Davood Ommi
- Department of Anesthesiology, School of Medicine, Shohada-e-Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Reza Jalili Khoshnoud
- Department of Neurosurgery, School of Medicine, Shohada-e-Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Alireza Fatemi
- Men's Health and Reproductive Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Mohamad Amin Pourhoseingholi
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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9
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Aslan ES, Aydın H, Tekin YK, Keleş S, White KN, Hekim N. Association between iron metabolism and SARS-COV-2 infection, determined by ferritin, hephaestin and hypoxia-induced factor-1 alpha levels in COVID-19 patients. Mol Biol Rep 2023; 50:2471-2478. [PMID: 36600108 PMCID: PMC9812738 DOI: 10.1007/s11033-022-08221-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 12/19/2022] [Indexed: 01/06/2023]
Abstract
BACKGROUND Due to the growing evidence of the importance of iron status in immune responses, the biomarkers of iron metabolism are of interest in novel Coronavirus Disease 2019 (COVID-19). The present prospective study was carried out to compare iron status indicated by levels of ferritin with the levels of two novel biomarkers related to iron homeostasis, hephaestin and hypoxia-inducible factors-1 (HIF-1α) in the serum of patients with COVID-19 in comparison with a control group. METHODS AND RESULTS Blood samples from 34 COVID-19 patients and from 43 healthy volunteers were collected and the levels of HEPH and HIF-1α were measured by ELISA and compared with levels of serum ferritin. COVID-19 patients had higher serum levels of ferritin than those levels in control group (P < 0.0001). Conversely levels of HIF-1α and HEPH in the COVID-19 group were significantly lower than those of control group (P < 0.0001 for both). An inverse correlation between hephaestin and ferritin as well as between HIF-1α and ferritin was found among all subjects (P < 0.0001), and among COVID-19 patients, but not to statistical significance. CONCLUSION Levels of hephaestin and HIF-1α were found to be inversely related levels of ferritin across all participants in the study, and to our knowledge this is the first report of hephaestin and HIF-1α as potential markers of iron status. Further studies are needed to corroborate the findings, utilizing a broader range of markers to monitor inflammatory as well as iron status.
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Affiliation(s)
- Elif Sibel Aslan
- Molecular Biology and Genetic Department, Faculty of Engineering and Natural Sciences, Biruni University, 10. Yıl Street. Protokol Road, Topkapı, Istanbul, Turkey.
| | - Hüseyin Aydın
- Medical Biochemistry, Department of Basic Medical Sciences, Sivas Cumhuriyet University, Sivas, Turkey
| | - Yusuf Kenan Tekin
- Medical Biochemistry, Department of Basic Medical Sciences, Sivas Cumhuriyet University, Sivas, Turkey
| | - Sami Keleş
- Ahenk Medical Diagnosis and Research Laboratory, Yeditepe University, Istanbul, Turkey
| | - Kenneth N White
- Molecular Systems for Health Research Group, School of Human Sciences, London Metropolitan University, London, UK
| | - Nezih Hekim
- Molecular Biology and Genetic Department, Faculty of Engineering and Natural Sciences, Biruni University, 10. Yıl Street. Protokol Road, Topkapı, Istanbul, Turkey
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10
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Qin R, He L, Yang Z, Jia N, Chen R, Xie J, Fu W, Chen H, Lin X, Huang R, Luo T, Liu Y, Yao S, Jiang M, Li J. Identification of Parameters Representative of Immune Dysfunction in Patients with Severe and Fatal COVID-19 Infection: a Systematic Review and Meta-analysis. Clin Rev Allergy Immunol 2023; 64:33-65. [PMID: 35040086 PMCID: PMC8763427 DOI: 10.1007/s12016-021-08908-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/29/2021] [Indexed: 01/26/2023]
Abstract
Abnormal immunological indicators associated with disease severity and mortality in patients with COVID-19 have been reported in several observational studies. However, there are marked heterogeneities in patient characteristics and research methodologies in these studies. We aimed to provide an updated synthesis of the association between immune-related indicators and COVID-19 prognosis. We conducted an electronic search of PubMed, Scopus, Ovid, Willey, Web of Science, Cochrane library, and CNKI for studies reporting immunological and/or immune-related parameters, including hematological, inflammatory, coagulation, and biochemical variables, tested on hospital admission of COVID-19 patients with different severities and outcomes. A total of 145 studies were included in the current meta-analysis, with 26 immunological, 11 hematological, 5 inflammatory, 4 coagulation, and 10 biochemical variables reported. Of them, levels of cytokines, including IL-1β, IL-1Ra, IL-2R, IL-4, IL-6, IL-8, IL-10, IL-18, TNF-α, IFN-γ, IgA, IgG, and CD4+ T/CD8+ T cell ratio, WBC, neutrophil, platelet, ESR, CRP, ferritin, SAA, D-dimer, FIB, and LDH were significantly increased in severely ill patients or non-survivors. Moreover, non-severely ill patients or survivors presented significantly higher counts of lymphocytes, monocytes, lymphocyte/monocyte ratio, eosinophils, CD3+ T,CD4+T and CD8+T cells, B cells, and NK cells. The currently updated meta-analysis primarily identified a hypercytokinemia profile with the severity and mortality of COVID-19 containing IL-1β, IL-1Ra, IL-2R, IL-4, IL-6, IL-8, IL-10, IL-18, TNF-α, and IFN-γ. Impaired innate and adaptive immune responses, reflected by decreased eosinophils, lymphocytes, monocytes, B cells, NK cells, T cells, and their subtype CD4+ and CD8+ T cells, and augmented inflammation, coagulation dysfunction, and nonpulmonary organ injury, were marked features of patients with poor prognosis. Therefore, parameters of immune response dysfunction combined with inflammatory, coagulated, or nonpulmonary organ injury indicators may be more sensitive to predict severe patients and those non-survivors.
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Affiliation(s)
- Rundong Qin
- Department of Allergy and Clinical Immunology, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Li He
- Department of Allergy and Clinical Immunology, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Zhaowei Yang
- Department of Allergy and Clinical Immunology, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Nan Jia
- Department of Allergy and Clinical Immunology, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Ruchong Chen
- Department of Allergy and Clinical Immunology, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Jiaxing Xie
- Department of Allergy and Clinical Immunology, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Wanyi Fu
- Department of Allergy and Clinical Immunology, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Hao Chen
- Department of Allergy and Clinical Immunology, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Xinliu Lin
- Department of Allergy and Clinical Immunology, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Renbin Huang
- Department of Allergy and Clinical Immunology, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Tian Luo
- Department of Allergy and Clinical Immunology, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Yukai Liu
- Department of Allergy and Clinical Immunology, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Siyang Yao
- Department of Allergy and Clinical Immunology, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Mei Jiang
- National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
| | - Jing Li
- Department of Allergy and Clinical Immunology, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
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11
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Li X, Yuan X, Xu Z, Shi L, Huang L, Lu X, Fu J. Effect of Methylprednisolone on Mortality and Clinical Courses in Patients with Severe COVID-19: A Propensity Score Matching Analysis. INFECTIOUS DISEASES & IMMUNITY 2023; 3:20-28. [PMID: 36789030 PMCID: PMC9912987 DOI: 10.1097/id9.0000000000000076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Indexed: 06/18/2023]
Abstract
Background Whether methylprednisolone therapy can reduce the mortality rate of patients with severe coronavirus disease 2019 (COVID-19) remains controversial, and its effects on the length of hospital stay and virus shedding time are also unknown. This retrospective study investigates the previous issues to provide more evidence for methylprednisolone treatment in severe COVID-19. Methods This retrospective study included 563 of 4827 patients with confirmed COVID-19 admitted to Wuhan Huoshenshan Hospital or Wuhan Guanggu Hospital between February 3, 2020 and March 30, 2020 who met the screening criteria. The participants' epidemiological and demographic data, comorbidities, laboratory test results, treatments, outcomes, and vital clinical time points were extracted from electronic medical records. The primary outcome was in-hospital death, and the secondary outcomes were 2 clinical courses: length from admission to viral clearance and discharge. Univariate and multivariate logistic or linear regression analyses were used to assess the role of methylprednisolone in different outcomes. Propensity score matching was performed to control for confounding factors. Results Of the 563 patients who met the screening criteria and were included in the subsequent analysis, 138 were included in the methylprednisolone group and 425 in the nonmethylprednisolone group. The in-hospital death rate between the methylprednisolone and nonmethylprednisolone groups showed a significant difference (23.91% vs. 1.65%, P < 0.001), which was maintained after propensity score matching (13.98% vs. 5.38%, P = 0.048). However, univariate logistic analysis in the matched groups showed that methylprednisolone treatment (odds ratio [OR], 5.242; 95% confidence interval [CI], 0.802 to 34.246; P = 0.084) was not a risk factor for in-hospital death in severe patients. Further multivariate logistic regression analysis found comorbidities (OR, 3.327; 95% CI, 1.702 to 6.501; P < 0.001), lower lymphocyte count (OR, 0.076; 95% CI, 0.012 to 0.461; P = 0.005), higher lactate dehydrogenase (LDH) levels (OR, 1.008; 95% CI, 1.003 to 1.013; P = 0.002), and anticoagulation therapy (OR, 11.187; 95% CI, 2.459 to 50.900; P = 0.002) were associated with in-hospital mortality. Multivariate linear regression analysis in the matched groups showed that methylprednisolone treatment was not a risk factor for a prolonged duration from admission to viral clearance (β Value 0.081; 95% CI, -1.012 to 3.657; P = 0.265) or discharge (β Value 0.114; 95% CI, -0.723 to 6.408; P = 0.117). d-dimer (β Value, 0.144; 95% CI, 0.012 to 0.817; P = 0.044), LDH (β Value 0.260; 95% CI, 0.010 to 0.034; P < 0.001), and antiviral therapy (β Value 0.220; 95% CI, 1.373 to 6.263; P = 0.002) were associated with a longer length from admission to viral clearance. The lymphocyte count (β Value -0.206; 95% CI, -6.248 to -1.197; P = 0.004), LDH (β Value 0.231; 95% CI, 0.012 to 0.048; P = 0.001), antiviral therapy (β Value 0.143; 95% CI, 0.058 to 7.497; P = 0.047), and antibacterial therapy (β Value 0.152; 95% CI, 0.133 to 8.154; P = 0.043) were associated with a longer hospitalization duration from admission to discharge. Further stratified analysis revealed that the low daily dose group (≤60 mg/d) and the low total dose group (≤200 mg) had shorter duration from admission to viral clearance (Z=-2.362, P = 0.018; Z=-2.010, P = 0.044) and a shorter hospital stay (Z=-2.735, P = 0.006; Z=-3.858, P < 0.001). Conclusions In patients with severe COVID-19, methylprednisolone is safe and does not prolong the duration from admission to viral clearance or discharge. Low-dose, short-term methylprednisolone treatment may be more beneficial in shortening the disease course.
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Affiliation(s)
- Xiaoyan Li
- Medical School of Chinese PLA, Beijing 100853, China
- Senior Department of Infectious Diseases, the Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
- National Clinical Research Center for Infectious Diseases, Beijing 100039, China
| | - Xin Yuan
- Medical School of Chinese PLA, Beijing 100853, China
- Senior Department of Infectious Diseases, the Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
- National Clinical Research Center for Infectious Diseases, Beijing 100039, China
| | - Zhe Xu
- Medical School of Chinese PLA, Beijing 100853, China
- Senior Department of Infectious Diseases, the Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
- National Clinical Research Center for Infectious Diseases, Beijing 100039, China
| | - Lei Shi
- Medical School of Chinese PLA, Beijing 100853, China
- Senior Department of Infectious Diseases, the Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
- National Clinical Research Center for Infectious Diseases, Beijing 100039, China
| | - Lei Huang
- Medical School of Chinese PLA, Beijing 100853, China
- Senior Department of Infectious Diseases, the Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
- National Clinical Research Center for Infectious Diseases, Beijing 100039, China
| | - Xuechun Lu
- Department of Hematology, the Second Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Junliang Fu
- Medical School of Chinese PLA, Beijing 100853, China
- Senior Department of Infectious Diseases, the Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
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12
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Ono D, Ohno Y, Izumida Y, Ohno H, Oka H, Takeshita K. Inflammation as an exacerbation marker and target for prophylaxis against Coronavirus Disease 2019-related thrombosis. Int J Med Sci 2023; 20:136-141. [PMID: 36619223 PMCID: PMC9812812 DOI: 10.7150/ijms.78911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 11/29/2022] [Indexed: 01/06/2023] Open
Abstract
Objectives: There are currently no appropriate markers and target for prophylaxis against COVID-19-related thrombosis, especially in the not-severe cases. We tested the hypothesis that inflammation is a suitable marker and target for prophylaxis against COVID-19-related thrombosis. Methods: Data of all 32 COVID-19 patients admitted to Saitama Medical Center between January 1 and March 30, 2021, were analyzed. Patients were divided into severe (requiring oxygen, n=12) and non-severe (no requirement for oxygen, n=20), and also those with high C-reactive protein (CRP) level (cutoff value: 30 mg/L, n=21) and low-CRP (n=11). We also compared the clinical and laboratory data of a 46-year-old post-liver transplant male patient, who was treated with a combination of immunosuppressants (methylprednisolone, fludrocortisone, cyclosporine, and everolimus) with those of other COVID-19 patients, using the Smirnoff-Grubbs and Box plots tests. Results: The levels of CRP, ferritin, lactate dehydrogenase, aspartate aminotransferase, and thrombin-antithrombin complex (TAT) were significantly higher in the high-severity group than the low-severity group; while other coagulation parameters were comparable. The time between onset of illness and blood levels of lactate dehydrogenase, fibrinogen, D-dimer, TAT, and plasmin alpha2-plasmin inhibitor complex (PIC) were significantly higher whereas lymphocyte count was significantly lower in the high-CRP group. Extremely low levels of TAT, PIC, and plasminogen activator inhibitor-1 (PAI-1) were recorded in the liver transplant patient treated with immunosuppressants. The TAT, PIC, and PAI-1 levels were deemed outliers. Conclusions: Inflammation is a potentially suitable marker and target for prophylaxis against COVID-19-related thrombosis.
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Affiliation(s)
- Daisuke Ono
- Department of Infectious Diseases and Infection Control, Saitama Medical Center, Saitama Medical University, Kawagoe, Saitama, Japan
| | - Yuko Ohno
- Department of Clinical Laboratory, Saitama Medical Center, Saitama Medical University, Kawagoe, Saitama, Japan
| | - Yoshihiko Izumida
- Department of Endocrinology and Diabetes, Saitama Medical Center, Saitama Medical University, Kawagoe, Saitama, Japan
| | - Hideaki Ohno
- Department of Infectious Diseases and Infection Control, Saitama Medical Center, Saitama Medical University, Kawagoe, Saitama, Japan
| | - Hideaki Oka
- Department of General Internal Medicine, Saitama Medical Center, Saitama Medical University, Kawagoe, Saitama, Japan
| | - Kyosuke Takeshita
- Department of Clinical Laboratory, Saitama Medical Center, Saitama Medical University, Kawagoe, Saitama, Japan
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13
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Bagiu IC, Scurtu IL, Horhat DI, Mot IC, Horhat RM, Bagiu RV, Capraru ID, Diaconu MM, Adam O, Ciornei B, Vulcanescu DD, Juganaru I, Bondar AC, Horhat FG. COVID-19 Inflammatory Markers and Vitamin D Relationship in Pediatric Patients. Life (Basel) 2022; 13:91. [PMID: 36676040 PMCID: PMC9864767 DOI: 10.3390/life13010091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 12/22/2022] [Accepted: 12/23/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Biomarkers play an important role in COVID-19, and more research in this regard is needed, especially in the case of children. This study aimed to look for a link between the C reactive protein (CRP), lactate dehydrogenase (LDH), creatine kinase (CK), vitamin D and COVID-19 in pediatric patients. METHODS This is a retrospective cohort study, performed on children diagnosed positively with COVID-19 at a children's hospital in western Romania. Available CRP, LDH, CK vitamin D and clinical severity were recorded. For each biomarker, groups were formed by patients' age. Mean/median group differences were assessed using Student's t test or Mann-Whitney and Kruskal-Wallis with Dunn's post hoc tests. Association was assessed using the chi2 test, while correlation was assessed using Spearman's rank correlation. RESULTS 181 positive children were studied between 1 August 2021 and 1 February 2022. Average age was 8.76 years (SD = 3.93). There were 94 (51.93%) males and 87 (48.07%) females. The cases were: 62 asymptomatic (34.25%), 107 mild (59.12%), 9 moderate (4.97%), 3 severe (1.66%). Regarding CRP, a significant difference between older and younger patients was observed (p = 0.0034). Clinical severity was associated with CRP (p = 0.0281), LDH (p = 0.0410) and vitamin D (p = 0.0444). Regarding CK, no differences or associations proved significant. Correlation testing was conducted for CRP, LDH, vitamin D and clinical signs. With the exception of LDH-CRP and LDH-vitamin D, all relationships proved statistically significant. CONCLUSIONS CRP, LDH and vitamin D levels are important biomarkers for COVID-19-positive pediatric patients, while CK was mostly within normal ranges.
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Affiliation(s)
- Iulia Cristina Bagiu
- Emergency Hospital for Children “Louis Turcanu”, 300011 Timisoara, Romania
- Department of Microbiology, Multidisciplinary Research Center on Antimicrobial Resistance, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Sq. No. 2, 300041 Timisoara, Romania
| | - Ileana Luminita Scurtu
- Faculty of Medicine, Vasile Goldis Western University of Arad, Rebreanu 86, 310414 Arad, Romania
| | - Delia Ioana Horhat
- ENT Department, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Sq. No. 2, 300041 Timisoara, Romania
| | - Ion Cristian Mot
- ENT Department, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Sq. No. 2, 300041 Timisoara, Romania
| | - Razvan Mihai Horhat
- 3rd Department, Discipline of Odontotherapy and Endodontics, Faculty of Dental Medicine, TADERP Research Center, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Sq. No. 2, 300041 Timisoara, Romania
| | - Radu Vasile Bagiu
- Department of Hygiene, Preventive Medicine Study Center, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Sq. No. 2, 300041 Timisoara, Romania
| | - Ionut Dragos Capraru
- Department of Parasitology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Sq. No. 2, 300041 Timisoara, Romania
| | - Mircea Mihai Diaconu
- Department of Obstetrics and Gynecology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Sq. No. 2, 300041 Timisoara, Romania
| | - Ovidiu Adam
- Emergency Hospital for Children “Louis Turcanu”, 300011 Timisoara, Romania
- Department of Pediatric Surgery and Orthopedics, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Sq. No. 2, 300041 Timisoara, Romania
| | - Bogdan Ciornei
- Emergency Hospital for Children “Louis Turcanu”, 300011 Timisoara, Romania
- Department of Pediatric Surgery and Orthopedics, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Sq. No. 2, 300041 Timisoara, Romania
| | - Dan Dumitru Vulcanescu
- Emergency Hospital for Children “Louis Turcanu”, 300011 Timisoara, Romania
- Department of Microbiology, Multidisciplinary Research Center on Antimicrobial Resistance, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Sq. No. 2, 300041 Timisoara, Romania
| | - Iulius Juganaru
- Department XI, First Discipline of Pediatrics, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Sq. No. 2, 300041 Timisoara, Romania
| | - Andrei-Cristian Bondar
- Psychiatry Hospital “Prof. Dr. Alexandru Obregia”, Soseaua Berceni 10, 041914 Bucuresti, Romania
| | - Florin George Horhat
- Emergency Hospital for Children “Louis Turcanu”, 300011 Timisoara, Romania
- Department of Microbiology, Multidisciplinary Research Center on Antimicrobial Resistance, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Sq. No. 2, 300041 Timisoara, Romania
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N’dilimabaka N, Mounguegui DM, Lekana-Douki SE, Yattara MK, Obame-Nkoghe J, Longo-Pendy NM, Koumba IPK, Mve-Ella OLB, Moukouama SK, Dzembo CE, Bolo LY, Biyie-Bi-Ngoghe P, Mangouka GL, Nzenze JR, Lekana-Douki JB. Biochemical and hematological factors associated with COVID-19 severity among Gabonese patients: A retrospective cohort study. Front Cell Infect Microbiol 2022; 12:975712. [PMID: 36619758 PMCID: PMC9816336 DOI: 10.3389/fcimb.2022.975712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 11/21/2022] [Indexed: 12/24/2022] Open
Abstract
The COVID-19 disease presents a large range of clinical manifestations and includes asymptomatic, mild, and severe cases. The level of severity is related to parameters associated with immunity, genetics, and biochemistry. Africa shows one of the lowest COVID-19 fatality rates but very few data on the biochemical markers of COVID-19 in patients and the factors associated with disease severity are available for the continent. In Gabon, the COVID-19 fatality rate is only 0.63% but almost no data on biomarkers in COVID-19 patients have been published. Both the number of COVID-19 cases and the mortality rate reported in Africa in general, and in Gabon in particular, are lower than in non-African countries. As such, understanding the factors associated with disease severity in Gabonese patients is a crucial step to better understand the disease in the African context and prepare for future COVID-19 waves and other epidemics of emerging diseases. Here, we compared biochemical and hematological markers among 753 Gabonese COVID-19 patients with asymptomatic (184/753), mild/moderate (420/753), and severe/critical (149/753) forms of the disease using an Analysis of Variance (ANOVA) or a Kruskal-Wallis (KW) test. We modeled these parameters together with comorbidities, age, and sex to predict factors associated with disease severity by using a "binomial generalized linear model" utilizing the "package" stats of R software version 4.0.2. Our results showed that almost all the biochemical and hematological parameters (except creatinine, phosphorus, D-dimers, platelets, and monocytes) varied according to disease severity. However, age and the dysfunction of organs like the kidney, liver, and lung together with the decrease of electrolytes (chloride, potassium, and sodium) are the best predictors of disease severity in Gabonese patients.
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Affiliation(s)
- Nadine N’dilimabaka
- Unité Emergence des Maladies Virales, Département de Virologie, Centre Interdisciplinaire de Recherches Médicales de Franceville (CIRMF), Franceville, Gabon,Département de Biologie, Faculté des Sciences, Université des Sciences et Techniques de Masuku (USTM), Franceville, Gabon,*Correspondence: Nadine N’dilimabaka,
| | | | - Sonia Etenna Lekana-Douki
- Unité Emergence des Maladies Virales, Département de Virologie, Centre Interdisciplinaire de Recherches Médicales de Franceville (CIRMF), Franceville, Gabon
| | | | - Judicaël Obame-Nkoghe
- Département de Biologie, Faculté des Sciences, Université des Sciences et Techniques de Masuku (USTM), Franceville, Gabon,Unité Écologie des Systèmes Vectoriels (ESV), Centre Interdisciplinaire de Recherches Médicales de Franceville (CIRMF), Franceville, Gabon
| | - Neil Michel Longo-Pendy
- Unité Écologie des Systèmes Vectoriels (ESV), Centre Interdisciplinaire de Recherches Médicales de Franceville (CIRMF), Franceville, Gabon
| | - Ingrid Precilya Koumba Koumba
- Unité Emergence des Maladies Virales, Département de Virologie, Centre Interdisciplinaire de Recherches Médicales de Franceville (CIRMF), Franceville, Gabon
| | - Octavie Lauris Banga Mve-Ella
- Unité Emergence des Maladies Virales, Département de Virologie, Centre Interdisciplinaire de Recherches Médicales de Franceville (CIRMF), Franceville, Gabon
| | - Schedy Koumba Moukouama
- Unité Emergence des Maladies Virales, Département de Virologie, Centre Interdisciplinaire de Recherches Médicales de Franceville (CIRMF), Franceville, Gabon
| | - Cresh Emelya Dzembo
- Unité Emergence des Maladies Virales, Département de Virologie, Centre Interdisciplinaire de Recherches Médicales de Franceville (CIRMF), Franceville, Gabon
| | - Lauriane Yacka Bolo
- Unité Emergence des Maladies Virales, Département de Virologie, Centre Interdisciplinaire de Recherches Médicales de Franceville (CIRMF), Franceville, Gabon
| | | | | | - Jean-Raymond Nzenze
- Site Coronavirus, Hôpital d’Instruction des Armes d’Akanda, Libreville-Nord, Gabon
| | - Jean-Bernard Lekana-Douki
- Unité Evolution Epidémiologie et Résistances Parasitaires (UNEEREP), Centre Interdisciplinaire de Recherches Médicales de Franceville (CIRMF), Franceville, Gabon,Département de Parasitologie-Mycologie Médecine Tropicale, Faculté de Médecine, Université des Sciences de la Sante, Libreville, Gabon
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15
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He YF, Jiang ZG, Wu N, Bian N, Ren JL. Correlation between COVID-19 and hepatitis B: A systematic review. World J Gastroenterol 2022; 28:6599-6618. [PMID: 36569273 PMCID: PMC9782843 DOI: 10.3748/wjg.v28.i46.6599] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Revised: 10/29/2022] [Accepted: 11/19/2022] [Indexed: 12/08/2022] Open
Abstract
BACKGROUND There is growing evidence that patients with coronavirus disease 2019 (COVID-19) frequently present with liver impairment. Hepatitis B virus (HBV) remains a major public health threat in current society. Both severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and HBV can cause liver damage, and current findings on whether HBV infection increases disease severity in COVID-19 patients are inconsistent, and whether SARS-CoV-2 infection accelerates hepatitis B progression or leads to a worse prognosis in hepatitis B patients has not been adequately elucidated. AIM To explore the complex relationship between COVID-19 and hepatitis B in order to inform the research and management of patients co-infected with SARS-CoV-2 and HBV. METHODS An experienced information specialist searched the literature in the following online databases: PubMed, China National Knowledge Infrastructure, Google Scholar, Scopus, Wiley, Web of Science, Cochrane, and ScienceDirect. The literature published from December 2019 to September 1, 2022 was included in the search. We also searched medRxiv and bioRxiv for gray literature and manually scanned references of included articles. Articles reporting studies conducted in humans discussing hepatitis B and COVID-19 were included. We excluded duplicate publications. News reports, reports, and other gray literature were included if they contained quantifiable evidence (case reports, findings, and qualitative analysis). Some topics that included HBV or COVID-19 samples but did not have quantitative evidence were excluded from the review. RESULTS A total of 57 studies were eligible and included in this review. They were from 11 countries, of which 33 (57.9%) were from China. Forty-two of the 57 studies reported abnormalities in liver enzymes, three mainly reported abnormalities in blood parameters, four indicated no significant liver function alterations, and another eight studies did not provide data on changes in liver function. Fifty-seven studies were retrospective and the total number of co-infections was 1932, the largest sample size was 7723, and the largest number of co-infections was 353. Most of the studies suggested an interaction between hepatitis B and COVID-19, while 12 studies clearly indicated no interaction between hepatitis B and COVID-19. Six of the 57 studies clearly reported HBV activation. Six studies were related to liver transplant patients. CONCLUSION There is some association between COVID-19 and hepatitis B. Future high-quality randomized trials are needed to further elucidate the interaction between COVID-19 and hepatitis B.
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Affiliation(s)
- Yan-Fei He
- Health Management Center, The Sixth Medical Center, Chinese PLA General Hospital, Beijing 100048, China
| | - Zhi-Gang Jiang
- Department of Statistics, Zunyi Medical University, Guizhou 563006, Guizhou Province, China
| | - Ni Wu
- Health Management Center, The Sixth Medical Center, Chinese PLA General Hospital, Beijing 100048, China
| | - Ning Bian
- Health Management Center, The Sixth Medical Center, Chinese PLA General Hospital, Beijing 100048, China
| | - Jun-Lin Ren
- Department of Infection Control, The Sixth Medical Center, Chinese PLA General Hospital, Beijing 100048, China
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16
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SARS-CoV-2-induced hypomethylation of the ferritin heavy chain (FTH1) gene underlies serum hyperferritinemia in severe COVID-19 patients. Biochem Biophys Res Commun 2022; 631:138-145. [PMID: 36183555 PMCID: PMC9509293 DOI: 10.1016/j.bbrc.2022.09.083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 09/02/2022] [Accepted: 09/21/2022] [Indexed: 11/23/2022]
Abstract
High serum ferritin (hyperferritinemia), a reliable hallmark of severe COVID-19 often associates with a moderate decrease in serum iron (hypoferremia) and a moderate increase in serum hepcidin. This suggests that hyperferritinemia in severe COVID-19 is reflective of inflammation rather than iron overload. To test this possibility, the expression status of ferritin heavy chain (FTH1), transferrin receptor 1 (TFRC), hepcidin (HAMP), and ferroportin (SLC40A1) genes and promoter methylation status of FTH1 and TFRC genes were examined in blood samples obtained from COVID-19 patients showing no, mild or severe symptoms and in healthy-donor monocytes stimulated with SARS-CoV-2-derived peptides. Severe COVID-19 samples showed a significant increase in FTH1 expression and hypomethylation relative to mild or asymptomatic COVID-19 samples. S-peptide treated monocytes also showed a significant increase in FTH1 expression and hypomethylation relative to that in controls; treatment with ECD or NP did not change FTH1 expression nor its methylation status. In silico and in vitro analysis showed a significant increase in the expression of the TET3 demethylase in S peptide-treated monocytes. Findings presented here suggest that S peptide-driven hypomethylation of the FTH1 gene promoter underlies hyperferritinemia in severe COVID-19 disease.
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17
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SeyedAlinaghi S, Karimi A, Mirzapour P, Afroughi F, Noroozi A, Arjmand G, Abshenas S, Pashaei Z, Tantuoyir MM, Dadras O, Qaderi K, Saeidi S, Dehghani S, Shabanzadeh Pirsaraie A, Mehraeen E, Afsahi AM. The relationship between C-reactive protein and levels of various cytokines in patients with COVID-19: A systematic review and correlation analysis. Health Sci Rep 2022; 5:e868. [PMID: 36248353 PMCID: PMC9547116 DOI: 10.1002/hsr2.868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 08/23/2022] [Accepted: 09/16/2022] [Indexed: 11/23/2022] Open
Abstract
Introduction C-reactive protein (CRP) and cytokines levels could alter in patients with coronavirus disease (COVID-19) due to the inflammatory response caused by the virus. This analysis aimed to assess the relationship between the CRP levels and the levels of various cytokines in COVID-19 patients. Materials and Methods We searched the databases of PubMed, Cochrane, and Web of Science for relevant articles on May 29th, 2021. Applying the inclusion/exclusion criteria, the retrieved records underwent two-phase screenings; first, a title/abstract screening process, and then, a full-text screening to find the eligible studies. Data for study variables were extracted, including the CRP levels and the levels of all reported cytokines. A strong and significant relationship between Interleukins and CRP was defined as: p ≤ 0.05, 0.7 ≤ r ≤ 1. Results In this study, 103 studies were included for systematic review and correlation analysis. The aggregate mean and SD of study variables were calculated and reported. The correlation between Interleukins and CRP was measured using correlation coefficient (r). It appeared that interleukin (IL)-10 has a moderate and significant relationship with CRP (p ≤ 0.05, r = 0.472). IL-10 predicted almost 10% of CRP changes. Conclusion This correlation analysis suggests IL-10 is moderately correlated with CRP levels in patients with COVID-19 infection. A better understanding of the pro-inflammatory markers could contribute to the implementation of therapeutic and preventive approaches. More prospective studies are suggested to explore the relationship between CRP and cytokines as potential markers for the early identification of COVID-19 progression and severity.
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Affiliation(s)
- SeyedAhmad SeyedAlinaghi
- Iranian Research Center for HIV/AIDS, Iranian Institute for Reduction of High Risk BehaviorsTehran University of Medical SciencesTehranIran
| | - Amirali Karimi
- School of MedicineTehran University of Medical SciencesTehranIran
| | - Pegah Mirzapour
- Iranian Research Center for HIV/AIDS, Iranian Institute for Reduction of High Risk BehaviorsTehran University of Medical SciencesTehranIran
| | - Fatemeh Afroughi
- School of MedicineIslamic Azad UniversityTehranIran
- Pars HospitalIran University of Medical SciencesTehranIran
| | | | - Ghazal Arjmand
- Shahid Beheshti University of Medical SciencesTehranIran
| | - Shayan Abshenas
- School of MedicineKashan University of Medical SciencesKashanIran
| | - Zahra Pashaei
- Iranian Research Center for HIV/AIDS, Iranian Institute for Reduction of High Risk BehaviorsTehran University of Medical SciencesTehranIran
| | - Marcarious M. Tantuoyir
- School of MedicineTehran University of Medical SciencesTehranIran
- Biomedical Engineering UnitUniversity of Ghana Medical Center (UGMC)AccraGhana
| | - Omid Dadras
- Iranian Research Center for HIV/AIDS, Iranian Institute for Reduction of High Risk BehaviorsTehran University of Medical SciencesTehranIran
- Department of Global Public Health and Primary Care, Graduate School of MedicineBergen UniversityBergenNorway
| | - Kowsar Qaderi
- Department of Midwifery, School of Nursing and MidwiferyKermanshah University of Medical SciencesKermanshahIran
| | - Solmaz Saeidi
- Department of NursingKhalkhal University of Medical SciencesKhalkhalIran
| | - Soheil Dehghani
- School of MedicineTehran University of Medical SciencesTehranIran
| | | | - Esmaeil Mehraeen
- Department of Health Information TechnologyKhalkhal University of Medical SciencesKhalkhalIran
| | - Amir Masoud Afsahi
- Department of Radiology, School of Medicine, University of CaliforniaSan Diego (UCSD)San DiegoCaliforniaUSA
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Wen X, Leng P, Wang J, Yang G, Zu R, Jia X, Zhang K, Mengesha BA, Huang J, Wang D, Luo H. Clinlabomics: leveraging clinical laboratory data by data mining strategies. BMC Bioinformatics 2022; 23:387. [PMID: 36153474 PMCID: PMC9509545 DOI: 10.1186/s12859-022-04926-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 09/13/2022] [Indexed: 11/29/2022] Open
Abstract
The recent global focus on big data in medicine has been associated with the rise of artificial intelligence (AI) in diagnosis and decision-making following recent advances in computer technology. Up to now, AI has been applied to various aspects of medicine, including disease diagnosis, surveillance, treatment, predicting future risk, targeted interventions and understanding of the disease. There have been plenty of successful examples in medicine of using big data, such as radiology and pathology, ophthalmology cardiology and surgery. Combining medicine and AI has become a powerful tool to change health care, and even to change the nature of disease screening in clinical diagnosis. As all we know, clinical laboratories produce large amounts of testing data every day and the clinical laboratory data combined with AI may establish a new diagnosis and treatment has attracted wide attention. At present, a new concept of radiomics has been created for imaging data combined with AI, but a new definition of clinical laboratory data combined with AI has lacked so that many studies in this field cannot be accurately classified. Therefore, we propose a new concept of clinical laboratory omics (Clinlabomics) by combining clinical laboratory medicine and AI. Clinlabomics can use high-throughput methods to extract large amounts of feature data from blood, body fluids, secretions, excreta, and cast clinical laboratory test data. Then using the data statistics, machine learning, and other methods to read more undiscovered information. In this review, we have summarized the application of clinical laboratory data combined with AI in medical fields. Undeniable, the application of Clinlabomics is a method that can assist many fields of medicine but still requires further validation in a multi-center environment and laboratory.
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Timur D, Demirpek U, Ertek E, Çetinkaya Aydın Ö, Karabıyık T, Kayadibi H. COMPARISON OF SARS-COV-2 WUHAN AND ALPHA VARIANTS: CLINICAL AND LABORATORY HIGHLIGHTS.. [DOI: 10.1101/2022.05.17.22275188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
Since December 2019, after the declaration of new cases regarding novel coronavirus disease, many variants have emerged as a consequence of the viral evolution. Though the SARS-CoV-2 variants have been studied for molecular basis, the clinical and pathologic disparities of them have been understood inadequately. The aim of this research was to figure out the differences between the SARS-CoV-2 Alpha (B1.1.7) variant and the classical Wuhan groups on the clinical basis and laboratory results of the COVID-19 patients who had positive PCR test.The study was done retrospectively inclusive of epidemiological, laboratory data and clinical symptoms of patients who were admitted to the emergency service between February 15 and March 15, 2021 and had positive COVID-19 PCR test results. Though there was no statistically significant difference in symptoms between SARS-CoV-2 Alpha variant and classical variant (Wuhan type) groups; C-reactive protein (CRP), lymphocyte and leukocyte counts were statistically significantly higher in the Wuhan type group; prothrombin time (PT), International Normalized Ratio (INR) and serum creatinine values were statistically significantly higher in the Alpha group. Studies such as ours that investigate both the clinical features and laboratory data of SARS-CoV-2 variants will close the knowledge gaps, so better decisions may be made by health policy makers. Additional studies in this area will increase the understanding of the topic.
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Role of serology tests in COVID-19 non-hospitalized patients: A cross-sectional study. PLoS One 2022; 17:e0266923. [PMID: 35421183 PMCID: PMC9009643 DOI: 10.1371/journal.pone.0266923] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 03/29/2022] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION Severe acute respiratory syndrome coronavirus (SARS-CoV2) has imposed catastrophic impressions on the world. After all the focused researches conducted in the COVID-19 area, many features remain obscure. We have surveyed 1,363 outpatients with suspected COVID-19 in Tehran, Iran. The analysis emphasized on characteristics of patients with positive PCR or serology of SARS-CoV-2. METHODS The nasopharyngeal swabs were tested for SARS-CoV2 PCR. Serum specimens were tested for SARS-CoV2 IgG and IgM. Clinical presentations of the patients, history of chronic diseases or drug use, contact with a possible COVID-19 patient and previous infection with SARS-COV2 were investigated. RESULTS Of the total 1,363 investigated patients, 22% had positive SARS-CoV-2 PCRs, 82% had positive IgG, 38% had positive IgM, and 31% had both positive IgM and IgG values. Positive serologic tests were significantly associated with a positive PCR test obtained previously in the course of the current disease (P value<0.001). IgG and IgM antibody values were significantly associated with underlying disease, cough, fever, chills, fatigue, and myalgia (all P values <0.001). Dyspnea was significantly associated with IgG levels (P value = 0.01), yet it was not associated with IgM serology (P value = 0.2). Positive serology tests were not associated with symptoms of coryza. GI symptoms were not associated with positive IgG test (P value = 0.1), yet it did show an association with positive IgM test (P value = 0.02). Cough, fever, chills, myalgia fatigue, dyspnea, and GI symptoms were all significantly associated with positive PCR (all P values <0.001), and symptoms of coryza did not show a significant relationship (P value = 0.8). CONCLUSION Assessing antibody titers in outpatients is invaluable due to the epidemiological importance of investigations in mild or even asymptomatic cases. Since the number of such studies in non-hospitalized patients is not high, the current study can be used as a comparison model.
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Kalaycı M, Ayyıldız H, Tuncer SA, Bozdag PG, Karlidag GE. Can laboratory parameters be an alternative to CT and RT-PCR in the diagnosis of COVID-19? A machine learning approach. INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY 2022; 32:435-443. [PMID: 35465212 PMCID: PMC9015244 DOI: 10.1002/ima.22705] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 12/16/2021] [Accepted: 01/07/2022] [Indexed: 06/14/2023]
Abstract
In this study, a machine learning-based decision support system that uses routine laboratory parameters has been proposed in order to increase the diagnostic success in COVID-19. The main goal of the proposed method was to reduce the number of misdiagnoses in the RT-PCR and CT scans and to reduce the cost of testing. In this study, we retrospectively reviewed the files of patients who presented to the coronavirus outpatient. The demographic, thoracic CT, and laboratory data of the individuals without any symptoms of the disease, who had negative RT-PCR test and who had positive RT-PCR test were analyzed. CT images were classified using hybrid CNN methods to show the superiority of the decision support system using laboratory parameters. Detection of COVID-19 from CT images achieved an accuracy of 97.56% with the AlexNet-SVM hybrid method, while COVID-19 was classified with an accuracy of 97.86% with the proposed method using laboratory parameters.
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Affiliation(s)
- Mehmet Kalaycı
- Department of Medical BiochemistryElazig Fethi Sekin City HospitalElazığTurkey
| | - Hakan Ayyıldız
- Department of Medical BiochemistryElazig Fethi Sekin City HospitalElazığTurkey
| | | | | | - Gulden Eser Karlidag
- Department of Clinic of Infectious Diseases and Clinical MicrobiologyUniversity of Health Sciences, Elazig Fethi Sekin City HospitalElazığTurkey
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22
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Dzsudzsák E, Sütő R, Pócsi M, Fagyas M, Szentkereszty Z, Nagy B. Profiling of Lactate Dehydrogenase Isoenzymes in COVID-19 Disease. EJIFCC 2021; 32:432-441. [PMID: 35046761 PMCID: PMC8751399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
Abstract
INTRODUCTION Serum total lactate dehydrogenase (LDH) activity was elevated and showed a positive correlation with disease severity and outcome in severe COVID-19 disease. However, it is still unknown whether the relative abundance or calculated activity of any LDH isoenzyme is predominately increased in COVID-19 subjects. METHODS Twenty-two consecutive patients suffered from moderate or severe COVID-19 pneumonia were recruited into this study who showed enhanced total LDH activity. The ratio of LDH isoenzyme activities was further investigated using gel electrophoresis (Hydragel®, Sebia) with densitometric evaluation. Calculated activity values of these isoenzymes were correlated with routine laboratory parameters, the degree of lung parenchymal affection based on chest CT and clinical outcome. RESULTS Total LDH activity was raised in the range of 272-2141 U/L and significantly correlated with calculated LDH-3 and LDH-4 activities (r=0.765, P=0.0001; and r=0.783, P=0.0001, respectively). In contrast, the relative abundance of neither LDH isoenzyme was exclusively abnormal in COVID-19 patients. Calculated activity of LDH-3 and LDH-4 demonstrated a modest but statistically significant association with serum ferritin (r=0.437, P=0.042; r=0.505, P=0.016, respectively). When the relationship between the severity of pulmonary affection by SARS-CoV-2 infection and relative abundance of LDH isoenzymes was studied, a larger ratio of mid-zone fractions was observed in the presence of ≥ 50% lung parenchymal involvement. Finally, regardless of LDH isoenzyme pattern, abnormal relative ratio of LDH-4 and higher calculated LDH-3 and LDH-4 activity values were detected in subjects with unfavorable outcome. CONCLUSION No characteristic profile of LDH isoenzymes can be detected in COVID-19 pneumonia, however, elevated activities of LDH-3 and LDH-4 are associated with worse clinical outcomes.
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Affiliation(s)
- Erika Dzsudzsák
- Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Renáta Sütő
- Gyula Kenézy Campus, Intensive Care Unit, University of Debrecen, Debrecen, Hungary, Doctoral School of Kálmán Laki, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Marianna Pócsi
- Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary, Doctoral School of Kálmán Laki, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Miklós Fagyas
- Doctoral School of Kálmán Laki, Faculty of Medicine, University of Debrecen, Debrecen, Hungary, Department of Cardiology, Division of Clinical Physiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Zoltán Szentkereszty
- Gyula Kenézy Campus, Intensive Care Unit, University of Debrecen, Debrecen, Hungary
| | - Béla Nagy
- Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary, Doctoral School of Kálmán Laki, Faculty of Medicine, University of Debrecen, Debrecen, Hungary,Corresponding author: Béla Nagy Jr, MD, PhD Department of Laboratory Medicine Faculty of Medicine University of Debrecen Nagyerdei krt. 98. H-4032, Debrecen Hungary
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Girelli D, Marchi G, Busti F, Vianello A. Iron metabolism in infections: Focus on COVID-19. Semin Hematol 2021; 58:182-187. [PMID: 34389110 PMCID: PMC8305218 DOI: 10.1053/j.seminhematol.2021.07.001] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 07/12/2021] [Indexed: 12/15/2022]
Abstract
Iron is a micronutrient essential for a wide range of metabolic processes in virtually all living organisms. During infections, a battle for iron takes place between the human host and the invading pathogens. The liver peptide hepcidin, which is phylogenetically and structurally linked to defensins (antimicrobial peptides of the innate immunity), plays a pivotal role by subtracting iron to pathogens through its sequestration into host cells, mainly macrophages. While this phenomenon is well studied in certain bacterial infections, much less is known regarding viral infections. Iron metabolism also has implications on the functionality of cells of the immune system. Once primed by the contact with antigen presenting cells, lymphocytes need iron to sustain the metabolic burst required for mounting an effective cellular and humoral response. The COVID-19 pandemic has boosted an amount of clinical and translational research over the possible influences of nutrients on SARS-CoV-2 infection, in terms of either susceptibility or clinical course. Here we review the intersections between iron metabolism and COVID-19, belonging to the wider domain of the so-called “nutritional immunity”. A better understanding of such connections has potential broad implications, either from a mechanistic standpoint, or for the development of more effective strategies for managing COVID-19 and possible future pandemics.
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Affiliation(s)
- Domenico Girelli
- Department of Medicine, Section of Internal Medicine, University of Verona, Euro Blood Net Referral Center, Azienda Ospedaliera Universitaria Integrata Verona, Italy.
| | - Giacomo Marchi
- Department of Medicine, Section of Internal Medicine, University of Verona, Euro Blood Net Referral Center, Azienda Ospedaliera Universitaria Integrata Verona, Italy
| | - Fabiana Busti
- Department of Medicine, Section of Internal Medicine, University of Verona, Euro Blood Net Referral Center, Azienda Ospedaliera Universitaria Integrata Verona, Italy
| | - Alice Vianello
- Department of Medicine, Section of Internal Medicine, University of Verona, Euro Blood Net Referral Center, Azienda Ospedaliera Universitaria Integrata Verona, Italy
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Terpos E, Ntanasis-Stathopoulos I, Skvarč M. Clinical Application of a New SARS-CoV-2 Antigen Detection Kit (Colloidal Gold) in the Detection of COVID-19. Diagnostics (Basel) 2021; 11:diagnostics11060995. [PMID: 34070844 PMCID: PMC8229208 DOI: 10.3390/diagnostics11060995] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 05/27/2021] [Accepted: 05/28/2021] [Indexed: 12/24/2022] Open
Abstract
The precise diagnosis of COVID-19 is of outmost importance in order to effectively treat patients and prevent SARS-CoV-2 transmission. Herein, we evaluated the sensitivity and specificity of the COVID-19 Antigen Detection Kit (Colloidal Gold—CG) compared with PCR in nasopharyngeal and nasal samples. A total of 114 positive and 244 negative nasopharyngeal specimens confirmed by PCR were used in this comparative study. When the PCR positive Cycle Threshold (Ct) value was ≤25, CG sensitivity was 100%. When the PCR positive Ct value was ≤33, CG sensitivity was 99%. When the PCR positive Ct value was ≤40, CG sensitivity was 89.47%. Regarding nasal swabs, a total of 109 positive and 250 negative specimens confirmed by PCR were used. When the PCR positive Ct value was ≤25, CG sensitivity was 100%. When the PCR positive Ct value was ≤33, CG sensitivity was 96.12%. When the PCR positive Ct value was ≤37, CG sensitivity was 91.74%. Specificity was above 99% regardless of the Ct value of PCR positivity for both nasopharyngeal and nasal specimens. Overall, the CG showed high sensitivity and specificity when the PCR Ct value was less than 33. Therefore, CG can be used for screening early in the disease course. Confirmatory PCR is essential when a false negative result is suspected.
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Affiliation(s)
- Evangelos Terpos
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra General Hospital, PS 11528 Athens, Greece;
- Correspondence: ; Tel.: +30-213-216-2846
| | - Ioannis Ntanasis-Stathopoulos
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra General Hospital, PS 11528 Athens, Greece;
| | - Miha Skvarč
- Clinical Trial Institution, General Hospital Jesenice, PS 4270 Jesenice, Slovenia;
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