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      Type 2 diabetes as a major risk factor for COVID-19 severity: a meta-analysis

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          Abstract

          DEAR EDITOR, Coronavirus disease 2019 (COVID-19) has recently emerged as a rapidly spreading disease, affecting more than 100 countries worldwide and reaching pandemic proportions. The severity of COVID-19 ranges from a mild, self-limiting flu-like illness to a devastating pneumonia culminating in respiratory failure and death. Individuals with diabetes are particularly vulnerable to some respiratory viral infections, such as influenza A (H1N1) infection ( 1 ), the severe acute respiratory syndrome (SARS) ( 2 ), and the Middle East respiratory syndrome (MERS) ( 3 ). A higher mortality rate was recently suggested in patients with COVID-19 who had preexisting diabetes ( 4 ); according to the Chinese Centers for Disease Control and Prevention, COVID-19 case-fatality rates in patients with diabetes were around 7.3%, versus 2.3% in the general Chinese population. We aimed to investigate the magnitude of this risk and its dependency on age. We performed a systematic search and meta-analysis for clinical reports of COVID-19 infection which included detailed descriptions of patients’ clinical profile – specifically, reporting information about the presence of diabetes at admission. The search strategy included the terms “clinical characteristics” AND “diabetes” AND “COVID-19” OR “SARS COV2” OR “coronavirus” OR “2019 n-Cov”, and yielded 7 records, all of them case series from China. The clinical status at admission was divided into severe (requiring intensive care or having an oxygen saturation <90%) or mild-to-moderate (not requiring ICU or oxygen saturation >90%). The meta-analysis included a total of 1592 patients, 138 with a previous diagnosis of diabetes and 1454 without diabetes. Among those with diabetes, 59 (42.75%) developed severe COVID-19 compared to 256 (17.60%) of non-T2DM patients, resulting in an odds ratio of 3.53 (95% confidence interval 1.48 to 8.39; I 2 64%; p for heterogeneity = 0.011) ( Figure 1 ). The high heterogeneity of this analysis suggests that other factors could nonetheless be involved in the higher risk of this population. To address this issue, we performed a random meta-analysis with meta-regression using the mean age of patients as a covariate; there was no impact on our initial results. Figure 1 Forest-plot showing association of diabetes and severity of COVID-19, obtained from7descriptive studies. Diabetes mellitus appears to be a major, age-independent risk factor for severity of COVID-19. Further studies are necessary to address mechanisms by which diabetes may affect the prognosis of COVID-19 and how improving glycemic control might impact the course of the disease.

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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 Coronavirus Disease 2019 in China

            Abstract Background Since December 2019, when coronavirus disease 2019 (Covid-19) emerged in Wuhan city and rapidly spread throughout China, data have been needed on the clinical characteristics of the affected patients. Methods We extracted data regarding 1099 patients with laboratory-confirmed Covid-19 from 552 hospitals in 30 provinces, autonomous regions, and municipalities in mainland China through January 29, 2020. The primary composite end point was admission to an intensive care unit (ICU), the use of mechanical ventilation, or death. Results The median age of the patients was 47 years; 41.9% of the patients were female. The primary composite end point occurred in 67 patients (6.1%), including 5.0% who were admitted to the ICU, 2.3% who underwent invasive mechanical ventilation, and 1.4% who died. Only 1.9% of the patients had a history of direct contact with wildlife. Among nonresidents of Wuhan, 72.3% had contact with residents of Wuhan, including 31.3% who had visited the city. The most common symptoms were fever (43.8% on admission and 88.7% during hospitalization) and cough (67.8%). Diarrhea was uncommon (3.8%). The median incubation period was 4 days (interquartile range, 2 to 7). On admission, ground-glass opacity was the most common radiologic finding on chest computed tomography (CT) (56.4%). No radiographic or CT abnormality was found in 157 of 877 patients (17.9%) with nonsevere disease and in 5 of 173 patients (2.9%) with severe disease. Lymphocytopenia was present in 83.2% of the patients on admission. Conclusions During the first 2 months of the current outbreak, Covid-19 spread rapidly throughout China and caused varying degrees of illness. Patients often presented without fever, and many did not have abnormal radiologic findings. (Funded by the National Health Commission of China and others.)
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              Clinical characteristics of 140 patients infected by SARS‐CoV‐2 in Wuhan, China

              Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has been widely spread. We aim to investigate the clinical characteristic and allergy status of patients infected with SARS-CoV-2.
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                Author and article information

                Journal
                Arch Endocrinol Metab
                Arch Endocrinol Metab
                aem
                Archives of Endocrinology and Metabolism
                Sociedade Brasileira de Endocrinologia e Metabologia
                2359-3997
                2359-4292
                05 June 2020
                May-Jun 2020
                : 64
                : 3
                : 199-200
                Affiliations
                [1 ] orgdiv2Departamento de Emergência orgdiv1Hospital de Clínicas de Porto Alegre orgnameUniversidade Federal do Rio Grande do Sul Porto Alegre RS Brasil originalDepartamento de Emergência, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brasil
                [2 ] orgdiv2Serviço de Endocrinologia orgdiv1Hospital de Clínicas de Porto Alegre orgnameUniversidade Federal do Rio Grande do Sul Porto Alegre RS Brasil originalServiço de Endocrinologia, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brasil
                Author notes
                Correspondence to: Marcello C. Bertoluci mbertoluci@ 123456hcpa.edu.br

                Disclosure: no potential conflict of interest relevant to this article was reported.

                Author information
                https://orcid.org/0000-0003-0954-8622
                https://orcid.org/0000-0002-8307-3162
                Article
                2359-3997000000256
                10.20945/2359-3997000000256
                10522215
                32555985
                e0de4d1c-2895-4a7c-a143-41fe6bf58d80

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 16 April 2020
                : 22 April 2020
                Page count
                Figures: 1, Tables: 0, Equations: 0, References: 11, Pages: 2
                Categories
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