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      Applicability of the CURB-65 pneumonia severity score for outpatient treatment of COVID-19

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          Abstract

          Dear editor, Tomlins and colleagues recently reported in this journal the clinical features of 95 sequential hospitalised patients with novel coronavirus 2019 disease (COVID-19) in the first UK cohort. 1 Interestingly, consistent with evidence supporting the use of CURB-65 as a predictor of mortality secondary to community acquired pneumonia (CAP), non-survivors had a significantly higher median CURB-65 score versus survivors (2.5 versus 1 respectively). The CURB-65 is a severity score for CAP, comprising 5 variables, attributing 1 point for each item: new onset confusion; urea >7 mmol/L; respiratory rate ≥30/minute, systolic blood pressure <90 mmHg and/or diastolic blood pressure ≤60 mmHg; and age ≥65 years. 2 It has been extensively validated to predict 30-day mortality in CAP, 3 and divides patients into 3 groups: score 0–1: low risk of 30–day mortality (0.7–3.2%); score 2: intermediate risk (13%) and score 3–5: high risk of 30–day mortality (17–57%). The Infectious Diseases Society of America / American Thoracic Society and the British Thoracic Society guidelines suggest that patients with CURB-65 scores of 0–1 are at low risk of death and thus may be managed as outpatients. 4 , 5 However, whether CURB-65 can be applicable to COVID-19 patients for the decision outpatient treatment is still unknown. Here, we describe a retrospective single-centre study assessing the performance of the CURB-65 to predict the risk of unfavourable outcome. Hospitalized patients aged 18 or over diagnosed with COVID-19, based on positive SARS-CoV-2 real-time reverse transcriptase-polymerase chain reaction on nasal swabs, and/or typical abnormalities on chest computed tomography (CT) were included in the study. Patients were excluded if they were directly admitted to ICU. Their baseline demographics, co-morbidities, clinical symptoms, vital signs, and laboratory results on admission were retrospectively collected. CURB-65 scores were calculated retrospectively. A poor outcome was defined as the time until transfer to the intensive care unit (ICU) for non-invasive ventilation (NIV) and/or high flow nasal cannula (HFNC) and/or invasive mechanical ventilation and/or death, whichever occurred first, within the 14 days following admission. The association between the CURB-65 and the outcome was assessed by a univariable Cox proportional hazard regression model to calculate hazard ratios (HR) and their 95% confidence intervals (95%CI). The study was approved by the local institutional review board (IRB 00006477). A total of 279 patients hospitalized between March 15th and April 14th, 2020 were included in this study. Their baseline characteristics at admission are described in Table 1 . According to the CURB-65, 171 (61.3%) patients were considered at low risk (CURB-65 0–1), 66 (23.7%) at intermediate risk (CURB-65=2), and 42 (15.1%) had high risk of 30-day mortality (CURB-65 3–5). During the study period, 88 (31.5%) patients had poor outcome: 48 (17.2%) were admitted to ICU (28 had NIV and/or HFNC, 27 had mechanical ventilation, following NIV and/or HFNC for 7, and 11 patients died within the 14 days) and 40 (14.3%) patients died without being admitted to ICU, leading to 51 (18.3%) deaths within the 14 days following admission. Table 1 Baseline characteristics and outcomes of the study population according to the CURB 65 (N=279) Table 1 Overall (N=279) CURB-65 P 0–1 N=171 2 N=66 3–5 (N=42) Age, mean (SD) 64.8 (16.1) 57.3 (14.4) 75.6 (11.6) 78.2 (9.5) <0.001 Male sex 183 (65.6) 107 (62.6) 45 (68.2) 31 (73.8) 0.342 Diabetes 77 (27.6) 39 (22.8) 22 (33.3) 16 (38.1) 0.068 Hypertension 131 (47.0) 61 (35.7) 39 (59.1) 31 (73.8) <0.001 CURB-65 features  Confusion 23 (8.2) 0 (0) 8 (12.1) 15 (35.7) <0.001  Urea >7 mmol/L 103 (36.9) 10 (5.8) 52 (78.8) 41 (97.6) <0.001  Respiratory rate>30/min 59 (21.1) 25 (14.6) 9 (13.6) 25 (59.5) <0.001  Hypotension 22 (7.9) 3 (1.8) 6 (9.1) 13 (31.0) <0.001  Age >65 years 145 (52.0) 47 (27.5) 57 (86.4) 41 (97.6) <0.001 Other clinical features Time from symptom onset to admission, (days) 6.76 (4.80) 7.3 (5.0) 6.9 (4.5) 3.4 (3.4) 0.001  Respiratory rate (/minute) 26.2 (6.7) 25.2 (6.1) 25.1 (6.0) 31.5 (7.8) <0.001  Body temperature >38°C 110 (39.4) 71 (41.5) 23 (34.8) 16 (38.1) 0.630  Cough 190 (68.1) 129 (73.7) 39 (59.1) 22 (52.4) 0.003  Dyspnoea 198 (71.0) 126 (37.7) 39 (59.1) 33 (78.6) 0.043  Myalgia 58 (20.8) 43 (25.1) 8 (12.1) 7 (16.7) 0.067  Diarrhoea 55 (19.7) 41 (24.0) 9 (13.6) 5 (11.9) 0.077 Biological features  Lymphocytes count (G/L) 1.2 (1.0) 0.7 (2.5) 1.0 (0.6) 1.0 (0.7) 0.038  C-reactive protein (mg/L) 126.3 (91.11) 117.0 (86.1) 126.1 (94.2) 164.2 (98.1) 0.013  Creatinine level (µmol/L) 108.2 (75.7) 84.1 (41.6) 134.7 (105.2) 164.1 (95.1) <0.001  SGOT (U/L) 71.2 (101.9) 65.6 (49.4) 58.7 (38.6) 108.4 (224.5) 0.033  SPOT (U/L) 45.8 (59.1) 47.0 (43.5) 32.79 (24.6) 59.73 (114.1) 0.078  D-dimers (mg/L) 3421.5 (7303.8) 3229.8 (7209.2) 3662.21 (7544.5) 3737.0 (7639.4) 0.945  Us Troponin I (ng/L) 72.7 (421.9) 21.5 (43.8) 46.3 (63.1) 301.3 (1016.1) 0.009  Ferritin (mg/L) 1465.3 (1584.2) 1485.8 (1836.6) 1309.3 (1115.2) 1585.3 (1303.5) 0.824 Outcome  Favourable 191 (68.5) 135 (78.9) 42 (63.6) 14 (33.3) <0.001  Unfavourable 88 (31.5) 36 (21.1) 24 (36.4) 28 (66.7) <0.001   HFNC or NVI 28 (10.0) 13 (11.4) 10 (29.4) 5 (26.3) 0.024   Mechanical ventilation 27 (39.1) 19 (16.2) 5 (14.7) 3 (15.8) 0.977   Deceased 51 (18.3) 15 (8.9) 15 (24.2) 21 (53.8) <0.001 Results are expressed as count (%) for categorical variables and as mean (standard deviation) for quantitative variables. *SGOT and SPOT were available for 244 (87.5%), us troponin I levels for 157 (56.3%) patients, and ferritin for 112 (29.6%) patients. Abbreviations: AST: aspartate aminotransferase; ALT: alanine aminotransferase; HFNC: high flow nasal cannula; NVI: non-invasive ventilation. In the Cox proportional hazard model, the CURB-65 was strongly associated with a poor outcome (HR 1.84, 95%CI 1.10–3.09, P=0.020 for a CURB-65 of 2 compared to 0–1; and HR 4.18, 95% CI 2.54–6.86, p<0.001 for a CURB-65 of 3–5 compared to 0–1; P for linear trend <0.001). However, among patients with a CURB-65 of 0–1, thus considered at low risk, 36/171 (21.1%) had a poor outcome: 27 (15.8%) were transferred for ICU for HFNC and/or NIV (N=13), and/or invasive mechanical ventilation (N=19), and 15 (8.8%) patients died within the 14 days following admission (Figure 1 ). Figure 1 Description of the outcome according to the CURB-65 (N=279). Figure 1 Our results showed that the CURB-65 is associated with an unfavourable outcome, and thus its application as a severity score for COVID-19 might be promising. However, while the majority of our patients would have been considered at low risk of 30-day mortality according to this severity score, more than 20% of them had a poor outcome. Our study suggests that the applicability of CURB-65 to guide the decision of inpatient or outpatient care is scarce, as it does not safely identify patients who could be managed as outpatients. In studies of CURB-65 in the clinical practice of CAP, many patients with low CURB-65 scores are not suitable for outpatient treatment because many factors are not incorporated in the score, including hypoxemia requiring oxygen therapy, unmet social needs 6 . In addition, this score also appears to underestimate severity in young patients with CAP. Those limitations might also apply to COVID-19, whose epidemiology and severity also differ from CAP. COVID-19 is a systemic disease, and its severity might be due to virus-activated “cytokine storm syndrome”, exacerbated inflammatory responses. 7 Many known risk factors, such as cardiovascular history, D-dimers, Interleukin-6, but also the myocardial involvement of COVID-19 might not be captured by the CURB-65 8, 9, 10. Thus, we express our concerns regarding the use of the CURB-65 to guide the decision of inpatient or outpatient care for COVID-19. There is an unmet need to have easy-to-use scores to detect COVID-19 patients at risk, and to guide this decision. Declaration of Competing Interest None of the authors declared any competing interest in link with the present study.

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          Most cited references8

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          Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study

          Summary Background Since December, 2019, Wuhan, China, has experienced an outbreak of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Epidemiological and clinical characteristics of patients with COVID-19 have been reported but risk factors for mortality and a detailed clinical course of illness, including viral shedding, have not been well described. Methods In this retrospective, multicentre cohort study, we included all adult inpatients (≥18 years old) with laboratory-confirmed COVID-19 from Jinyintan Hospital and Wuhan Pulmonary Hospital (Wuhan, China) who had been discharged or had died by Jan 31, 2020. Demographic, clinical, treatment, and laboratory data, including serial samples for viral RNA detection, were extracted from electronic medical records and compared between survivors and non-survivors. We used univariable and multivariable logistic regression methods to explore the risk factors associated with in-hospital death. Findings 191 patients (135 from Jinyintan Hospital and 56 from Wuhan Pulmonary Hospital) were included in this study, of whom 137 were discharged and 54 died in hospital. 91 (48%) patients had a comorbidity, with hypertension being the most common (58 [30%] patients), followed by diabetes (36 [19%] patients) and coronary heart disease (15 [8%] patients). Multivariable regression showed increasing odds of in-hospital death associated with older age (odds ratio 1·10, 95% CI 1·03–1·17, per year increase; p=0·0043), higher Sequential Organ Failure Assessment (SOFA) score (5·65, 2·61–12·23; p<0·0001), and d-dimer greater than 1 μg/mL (18·42, 2·64–128·55; p=0·0033) on admission. Median duration of viral shedding was 20·0 days (IQR 17·0–24·0) in survivors, but SARS-CoV-2 was detectable until death in non-survivors. The longest observed duration of viral shedding in survivors was 37 days. Interpretation The potential risk factors of older age, high SOFA score, and d-dimer greater than 1 μg/mL could help clinicians to identify patients with poor prognosis at an early stage. Prolonged viral shedding provides the rationale for a strategy of isolation of infected patients and optimal antiviral interventions in the future. Funding Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences; National Science Grant for Distinguished Young Scholars; National Key Research and Development Program of China; The Beijing Science and Technology Project; and Major Projects of National Science and Technology on New Drug Creation and Development.
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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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              The pathogenesis and treatment of the `Cytokine Storm' in COVID-19

              Summary Cytokine storm is an excessive immune response to external stimuli. The pathogenesis of the cytokine storm is complex. The disease progresses rapidly, and the mortality is high. Certain evidence shows that, during the coronavirus disease 2019 (COVID-19) epidemic, the severe deterioration of some patients has been closely related to the cytokine storm in their bodies. This article reviews the occurrence mechanism and treatment strategies of the COVID-19 virus-induced inflammatory storm in attempt to provide valuable medication guidance for clinical treatment.
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                Author and article information

                Contributors
                Journal
                J Infect
                J. Infect
                The Journal of Infection
                Published by Elsevier Ltd on behalf of The British Infection Association.
                0163-4453
                1532-2742
                29 May 2020
                29 May 2020
                Affiliations
                [a ]Departement of Internal Medicine, AP-HP.Nord, Beaujon Hospital, University of Paris, Clichy, France
                [b ]Center for Epidemiology and Population Health, INSERM U1018, Villejuif, France
                [c ]Department of Emergency, AP-HP.Nord, Beaujon Hospital, Clichy, France
                Author notes
                [* ]Corresponding author. xlren@ 123456zju.edu.cn
                Article
                S0163-4453(20)30330-3
                10.1016/j.jinf.2020.05.049
                7255987
                0b4d1526-bdaa-4405-a505-1df315651adc
                © 2020 Published by Elsevier Ltd on behalf of The British Infection Association.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 23 May 2020
                Categories
                Article

                Infectious disease & Microbiology
                covid-19,curb-65,outpatient care,risk factor
                Infectious disease & Microbiology
                covid-19, curb-65, outpatient care, risk factor

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