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      Changes in blood coagulation in patients with severe coronavirus disease 2019 (COVID‐19): a meta‐analysis

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          Abstract

          To the Editor: Coronavirus disease 2019 (COVID‐19) is widely spread and poses a critical threat to global health. 1 Prominent changes in coagulation function in severe patients of COVID‐19 have been reported in a recent study. 2 Therefore, we conducted this quantitative meta‐analysis to explore the difference in blood coagulation parameters between severe and mild cases of COVID‐19. Literature published from December 1, 2019 to March 30, 2020 was searched systematically using PubMed and Embase without language limits. The keywords were: coronavirus, laboratory, clinical manifestations, clinical characteristics, and clinical features. All documents comparing information on coagulation parameters between mild and severe cases of COVID‐19 patients were finally referred to in our meta‐analysis. The pooled standardised mean difference (SMD) and 95% confidence interval (CI) were computed by applying the random‐effect model using Stata software (STATA 14.0, Stata Corp, College Station, TX, USA). The study quality was measured by adopting an 11‐item checklist, which was suggested by the Agency for Healthcare Research and Quality (AHRQ). Table I displays the main characteristics of the included studies. Nine studies, including one study from medRxiv, with 1105 patients were eventually included for detailed evaluation. Platelet count (PLT), activated partial thromboplastin time (APTT), prothrombin time (PT) and D‐dimer (D‐D) levels were available in five, six, six and eight studies, respectively. All the studies were conducted in China. Quality score varied from 3 to 7 points, with a mean of 5·4 (Table I). All the studies were of moderate quality, except one of low quality. Table 1 Study characteristics. Study N (male %) n Age (years) Severity criteria QS Coagulation parameters* PLT (109/l) APTT (s) PT (s) D‐D (mg/l) Han et al. 2 94 (51·0) 45 NA Trail version 5 5 NA 29·5 (3·2)/28·6 (2·7) 12·7 (1·1)/12·2 (0·9) 19·3 (34·5)/2·1 ( 2·9) Huang et al. 4 41 (73·0) 13 49·0 (12·6) ICU and non‐ICU 6 196·0 (72·6)/149·0 (97·8) 26·2 (8·4)/27·7 (6·9) 12·2 (1·6)/10·7 (1·7) 2·4 (10·2)/0·5 (0·4) Liu et al. 5 30 (33·3) 4 35·0 (8·0) Trail version 5 5 NA NA NA 1·5 (1·2)/0·3 (0·1) Mao et al. 6 214 (40·7) 88 52·7 (15·5) WHO interim guideline 5 204·5 (413·3)/219·0 (400·7) NA NA 0·9 (14·7)/0·4 (6·3) Peng et al. 7 112 (47·3) 16 62·0 (8·9) Standard version 6 NA 36·5 (8·4)/35·8 (6·2) 13·9 (1·6)/13·0 (1·2) NA Wan et al. 8 135 (53·3) 40 47·0 (14·1) Trail version 5 6 147·0 (70·4)/170·0 (72·6) 29·7 (9·8)/26·6 (3·2) 11·3 (0·8)/10·8 (0·7) 0·6 (0·5)/0·3 (0·2) Wang et al. 9 138 (54·3) 36 56·0 (19·2) ICU and non‐ICU 7 142·0 (61·5)/165·0 (46·7) 30·4 (4·1)/31·7 (2·9) 13·2 (1·6)/12·9 (0·8) 0·4 (0·8)/0·2 (0·1) Wu et al. 10 201 (63·7) 84 51·0 (12·3) With and without ARDS 6 187·0 (94·1)/178·0 (73·7) 26·0 (9·2)/29·5 (5·4) 11·7 (1·0)/10·6 (1·1) 1·2 (3·6)/0·5 (0·4) Zhang et al. 1 140 (50·7) 58 57·0 (45·9) Trail version 5 3 NA NA NA 0·4 (1·6)/0·2 (0·1) N, number of included patients; n, number of severe patients; QS, quality score; NA, not available; PLT, platelet, reference interval 125–350 × 109/l; APTT, activated partial thromboplastin time, reference interval 25·1–36·5 s; PT, prothrombin time, reference interval 9·4–12·5 s; D‐D, D‐dimer, reference interval 0–0·5 mg/l; ICU, intensive care unit; ARDS, acute respiratory distress syndrome. * Data presented as severe/mild COVID‐19 patients; data as given as mean (standard derivation). John Wiley & Sons, Ltd 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. The main difference in coagulation function between severe and mild COVID‐19 patients is shown in Fig 1. Pooled results revealed that PT and D‐D levels were significantly higher in patients with severe COVID‐19 (0·68, 95% CI = 0·43–0·93, I 2 = 53·7%; 0·53, 95% CI = 0·22–0·84, I 2 = 78·9%, respectively). However, no significant difference in PLT and APTT values between severe and mild patients was observed (−0·08, 95% CI = −0·34 to 0·18, I 2 = 60·5%; −0·03, 95% CI = −0·40 to 0·34, I 2 = 79·5%, respectively). Increasing values of D‐D and PT support the notion that disseminated intravascular coagulation (DIC) may be common in COVID‐19 patients. 2 In addition, the rise of D‐D level also indicates secondary fibrinolysis conditions in these patients. According to Berri et al., 3 fibrin clot formation helps people to fight against influenza virus infections. Hence, fibrinolysis may potentially induce following severe COVID‐19 infection. Future studies should aim to discover more biomarkers of severe cases of COVID‐19, and studies exploring the underlying mechanism of deranged coagulation function in COVID‐19 are urgently needed. The haemostatic system might be explored for underlying treatment against coronavirus. Fig 1 Forest plot of PLT, APTT, PT and D‐D levels in severe COVID‐19 patients versus mild COVID‐19 patients. Due to the lack of sufficient study data, we cannot perform a more thorough analysis to prove beneficial screening parameters for PLT, APTT, PT and D‐D for prediction of severity of COVID‐19. However, we suggest that clinical practitioners pay attention to the changes in coagulation function in COVID‐19 patients on a daily basis.

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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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              Risk Factors Associated With Acute Respiratory Distress Syndrome and Death in Patients With Coronavirus Disease 2019 Pneumonia in Wuhan, China

              Coronavirus disease 2019 (COVID-19) is an emerging infectious disease that was first reported in Wuhan, China, and has subsequently spread worldwide. Risk factors for the clinical outcomes of COVID-19 pneumonia have not yet been well delineated.
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                Author and article information

                Contributors
                havonewei@163.com
                Journal
                Br J Haematol
                Br. J. Haematol
                10.1111/(ISSN)1365-2141
                BJH
                British Journal of Haematology
                John Wiley and Sons Inc. (Hoboken )
                0007-1048
                1365-2141
                14 May 2020
                : 10.1111/bjh.16725
                Affiliations
                [ 1 ] Department of Neurology the First Affiliated Hospital of Chongqing Medical University Chongqing China
                [ 2 ] Chongqing Key Laboratory of Neurobiology Chongqing China
                Author information
                https://orcid.org/0000-0002-2658-8434
                Article
                BJH16725
                10.1111/bjh.16725
                7264726
                32304581
                5b5969be-f08b-431f-909a-8895a871298e
                © 2020 British Society for Haematology and John Wiley & Sons Ltd

                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
                Page count
                Figures: 1, Tables: 1, Pages: 3, Words: 3982
                Categories
                Correspondence
                Correspondence
                Custom metadata
                2.0
                corrected-proof
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.8.3 mode:remove_FC converted:02.06.2020

                Hematology
                covid‐19,coronavirus,coagulation,laboratory,meta‐analysis
                Hematology
                covid‐19, coronavirus, coagulation, laboratory, meta‐analysis

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