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      Diagnostic utility of clinical laboratory data determinations for patients with the severe COVID‐19

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          Abstract

          The role of clinical laboratory data in the differential diagnosis of the severe forms of COVID‐19 has not been definitely established. The aim of this study was to look for the warning index in severe COVID‐19 patients. We investigated 43 adult patients with COVID‐19. The patients were classified into mild group (28 patients) and severe group (15 patients). A comparison of the hematological parameters between the mild and severe groups showed significant differences in interleukin‐6 (IL‐6), d‐dimer ( d‐D), glucose, thrombin time, fibrinogen, and C‐reactive protein ( P < .05). The optimal threshold and area under the receiver operator characteristic curve (ROC) of IL‐6 were 24.3 and 0.795 µg/L, respectively, while those of d‐D were 0.28 and 0.750 µg/L, respectively. The area under the ROC curve of IL‐6 combined with d‐D was 0.840. The specificity of predicting the severity of COVID‐19 during IL‐6 and d‐D tandem testing was up to 93.3%, while the sensitivity of IL‐6 and d‐D by parallel test in the severe COVID‐19 was 96.4%. IL‐6 and d‐D were closely related to the occurrence of severe COVID‐19 in the adult patients, and their combined detection had the highest specificity and sensitivity for early prediction of the severity of COVID‐19 patients, which has important clinical value.

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          Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

          Summary Background A recent cluster of pneumonia cases in Wuhan, China, was caused by a novel betacoronavirus, the 2019 novel coronavirus (2019-nCoV). We report the epidemiological, clinical, laboratory, and radiological characteristics and treatment and clinical outcomes of these patients. Methods All patients with suspected 2019-nCoV were admitted to a designated hospital in Wuhan. We prospectively collected and analysed data on patients with laboratory-confirmed 2019-nCoV infection by real-time RT-PCR and next-generation sequencing. Data were obtained with standardised data collection forms shared by WHO and the International Severe Acute Respiratory and Emerging Infection Consortium from electronic medical records. Researchers also directly communicated with patients or their families to ascertain epidemiological and symptom data. Outcomes were also compared between patients who had been admitted to the intensive care unit (ICU) and those who had not. Findings By Jan 2, 2020, 41 admitted hospital patients had been identified as having laboratory-confirmed 2019-nCoV infection. Most of the infected patients were men (30 [73%] of 41); less than half had underlying diseases (13 [32%]), including diabetes (eight [20%]), hypertension (six [15%]), and cardiovascular disease (six [15%]). Median age was 49·0 years (IQR 41·0–58·0). 27 (66%) of 41 patients had been exposed to Huanan seafood market. One family cluster was found. Common symptoms at onset of illness were fever (40 [98%] of 41 patients), cough (31 [76%]), and myalgia or fatigue (18 [44%]); less common symptoms were sputum production (11 [28%] of 39), headache (three [8%] of 38), haemoptysis (two [5%] of 39), and diarrhoea (one [3%] of 38). Dyspnoea developed in 22 (55%) of 40 patients (median time from illness onset to dyspnoea 8·0 days [IQR 5·0–13·0]). 26 (63%) of 41 patients had lymphopenia. All 41 patients had pneumonia with abnormal findings on chest CT. Complications included acute respiratory distress syndrome (12 [29%]), RNAaemia (six [15%]), acute cardiac injury (five [12%]) and secondary infection (four [10%]). 13 (32%) patients were admitted to an ICU and six (15%) died. Compared with non-ICU patients, ICU patients had higher plasma levels of IL2, IL7, IL10, GSCF, IP10, MCP1, MIP1A, and TNFα. Interpretation The 2019-nCoV infection caused clusters of severe respiratory illness similar to severe acute respiratory syndrome coronavirus and was associated with ICU admission and high mortality. Major gaps in our knowledge of the origin, epidemiology, duration of human transmission, and clinical spectrum of disease need fulfilment by future studies. Funding Ministry of Science and Technology, Chinese Academy of Medical Sciences, National Natural Science Foundation of China, and Beijing Municipal Science and Technology Commission.
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            Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China

            In December 2019, novel coronavirus (2019-nCoV)-infected pneumonia (NCIP) occurred in Wuhan, China. The number of cases has increased rapidly but information on the clinical characteristics of affected patients is limited.
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              Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study

              Summary Background In December, 2019, a pneumonia associated with the 2019 novel coronavirus (2019-nCoV) emerged in Wuhan, China. We aimed to further clarify the epidemiological and clinical characteristics of 2019-nCoV pneumonia. Methods In this retrospective, single-centre study, we included all confirmed cases of 2019-nCoV in Wuhan Jinyintan Hospital from Jan 1 to Jan 20, 2020. Cases were confirmed by real-time RT-PCR and were analysed for epidemiological, demographic, clinical, and radiological features and laboratory data. Outcomes were followed up until Jan 25, 2020. Findings Of the 99 patients with 2019-nCoV pneumonia, 49 (49%) had a history of exposure to the Huanan seafood market. The average age of the patients was 55·5 years (SD 13·1), including 67 men and 32 women. 2019-nCoV was detected in all patients by real-time RT-PCR. 50 (51%) patients had chronic diseases. Patients had clinical manifestations of fever (82 [83%] patients), cough (81 [82%] patients), shortness of breath (31 [31%] patients), muscle ache (11 [11%] patients), confusion (nine [9%] patients), headache (eight [8%] patients), sore throat (five [5%] patients), rhinorrhoea (four [4%] patients), chest pain (two [2%] patients), diarrhoea (two [2%] patients), and nausea and vomiting (one [1%] patient). According to imaging examination, 74 (75%) patients showed bilateral pneumonia, 14 (14%) patients showed multiple mottling and ground-glass opacity, and one (1%) patient had pneumothorax. 17 (17%) patients developed acute respiratory distress syndrome and, among them, 11 (11%) patients worsened in a short period of time and died of multiple organ failure. Interpretation The 2019-nCoV infection was of clustering onset, is more likely to affect older males with comorbidities, and can result in severe and even fatal respiratory diseases such as acute respiratory distress syndrome. In general, characteristics of patients who died were in line with the MuLBSTA score, an early warning model for predicting mortality in viral pneumonia. Further investigation is needed to explore the applicability of the MuLBSTA score in predicting the risk of mortality in 2019-nCoV infection. Funding National Key R&D Program of China.
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                Author and article information

                Contributors
                wangxiaowu19880218@126.com
                wanglinding@ahmu.edu.cn
                Journal
                J Med Virol
                J. Med. Virol
                10.1002/(ISSN)1096-9071
                JMV
                Journal of Medical Virology
                John Wiley and Sons Inc. (Hoboken )
                0146-6615
                1096-9071
                10 April 2020
                : 10.1002/jmv.25770
                Affiliations
                [ 1 ] Department of Clinical Laboratory Fuyang Second People's Hospital Fuyang Anhui China
                [ 2 ] Department of Pharmacy Fuyang People's Hospital Fuyang Anhui China
                [ 3 ] Department of Clinical Laboratory The First Affiliated Hospital of Anhui Medical University Hefei Anhui China
                [ 4 ] Department of Pediatrics The First Affiliated Hospital of Anhui Medical University Hefei Anhui China
                [ 5 ] Department of Microbiology Anhui Medical University Hefei Anhui China
                Author notes
                [*] [* ] Correspondence Xiaowu Wang, Department of Clinical Laboratory, Fuyang Second People's Hospital, Fuyang, Anhui, China.

                Email: wangxiaowu19880218@ 123456126.com

                Linding Wang, Department of Microbiology, Anhui Medical University, Hefei, Anhui, China.

                Email: wanglinding@ 123456ahmu.edu.cn

                Author information
                http://orcid.org/0000-0001-6877-5791
                Article
                JMV25770
                10.1002/jmv.25770
                7228247
                32181911
                569f766f-4f6b-4d60-9e64-74ac54a8dbd4
                © 2020 Wiley Periodicals, Inc.

                This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.

                History
                : 28 February 2020
                : 12 March 2020
                : 13 March 2020
                Page count
                Figures: 2, Tables: 5, Pages: 6, Words: 3618
                Funding
                Funded by: National Science and Technology Major Project of the 13th five‐year Plan
                Award ID: 2018ZX10711001‐005‐002
                Funded by: Basic and Clinical Cooperative Research and Promotion Program of Anhui Medical University
                Award ID: 2019xkjT024
                Funded by: Natural Science Foundation of Anhui Province , open-funder-registry 10.13039/501100003995;
                Award ID: 1708085MH193
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                corrected-proof
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.8.0 mode:remove_FC converted:16.04.2020

                Microbiology & Virology
                d‐dimer,diagnostic utility,il‐6,the severe covid‐19
                Microbiology & Virology
                d‐dimer, diagnostic utility, il‐6, the severe covid‐19

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