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      Augmented curation of clinical notes from a massive EHR system reveals symptoms of impending COVID-19 diagnosis

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      eLife
      eLife Sciences Publications, Ltd
      electronic health record, neural networks, machine learning, artificial intelligence, COVID-19, SARS-CoV-2, Human

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          Abstract

          Understanding temporal dynamics of COVID-19 symptoms could provide fine-grained resolution to guide clinical decision-making. Here, we use deep neural networks over an institution-wide platform for the augmented curation of clinical notes from 77,167 patients subjected to COVID-19 PCR testing. By contrasting Electronic Health Record (EHR)-derived symptoms of COVID-19-positive (COVID pos ; n = 2,317) versus COVID-19-negative (COVID neg ; n = 74,850) patients for the week preceding the PCR testing date, we identify anosmia/dysgeusia (27.1-fold), fever/chills (2.6-fold), respiratory difficulty (2.2-fold), cough (2.2-fold), myalgia/arthralgia (2-fold), and diarrhea (1.4-fold) as significantly amplified in COVID pos over COVID neg patients. The combination of cough and fever/chills has 4.2-fold amplification in COVID pos patients during the week prior to PCR testing, in addition to anosmia/dysgeusia, constitutes the earliest EHR-derived signature of COVID-19. This study introduces an Augmented Intelligence platform for the real-time synthesis of institutional biomedical knowledge. The platform holds tremendous potential for scaling up curation throughput, thus enabling EHR-powered early disease diagnosis.

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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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            Estimates of the severity of coronavirus disease 2019: a model-based analysis

            Summary Background In the face of rapidly changing data, a range of case fatality ratio estimates for coronavirus disease 2019 (COVID-19) have been produced that differ substantially in magnitude. We aimed to provide robust estimates, accounting for censoring and ascertainment biases. Methods We collected individual-case data for patients who died from COVID-19 in Hubei, mainland China (reported by national and provincial health commissions to Feb 8, 2020), and for cases outside of mainland China (from government or ministry of health websites and media reports for 37 countries, as well as Hong Kong and Macau, until Feb 25, 2020). These individual-case data were used to estimate the time between onset of symptoms and outcome (death or discharge from hospital). We next obtained age-stratified estimates of the case fatality ratio by relating the aggregate distribution of cases to the observed cumulative deaths in China, assuming a constant attack rate by age and adjusting for demography and age-based and location-based under-ascertainment. We also estimated the case fatality ratio from individual line-list data on 1334 cases identified outside of mainland China. Using data on the prevalence of PCR-confirmed cases in international residents repatriated from China, we obtained age-stratified estimates of the infection fatality ratio. Furthermore, data on age-stratified severity in a subset of 3665 cases from China were used to estimate the proportion of infected individuals who are likely to require hospitalisation. Findings Using data on 24 deaths that occurred in mainland China and 165 recoveries outside of China, we estimated the mean duration from onset of symptoms to death to be 17·8 days (95% credible interval [CrI] 16·9–19·2) and to hospital discharge to be 24·7 days (22·9–28·1). In all laboratory confirmed and clinically diagnosed cases from mainland China (n=70 117), we estimated a crude case fatality ratio (adjusted for censoring) of 3·67% (95% CrI 3·56–3·80). However, after further adjusting for demography and under-ascertainment, we obtained a best estimate of the case fatality ratio in China of 1·38% (1·23–1·53), with substantially higher ratios in older age groups (0·32% [0·27–0·38] in those aged <60 years vs 6·4% [5·7–7·2] in those aged ≥60 years), up to 13·4% (11·2–15·9) in those aged 80 years or older. Estimates of case fatality ratio from international cases stratified by age were consistent with those from China (parametric estimate 1·4% [0·4–3·5] in those aged <60 years [n=360] and 4·5% [1·8–11·1] in those aged ≥60 years [n=151]). Our estimated overall infection fatality ratio for China was 0·66% (0·39–1·33), with an increasing profile with age. Similarly, estimates of the proportion of infected individuals likely to be hospitalised increased with age up to a maximum of 18·4% (11·0–7·6) in those aged 80 years or older. Interpretation These early estimates give an indication of the fatality ratio across the spectrum of COVID-19 disease and show a strong age gradient in risk of death. Funding UK Medical Research Council.
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              Evidence for Gastrointestinal Infection of SARS-CoV-2

              Since the novel coronavirus (SARS-CoV-2) was identified in Wuhan, China, at the end of 2019, the virus has spread to 32 countries, infecting more than 80,000 people and causing more than 2600 deaths globally. The viral infection causes a series of respiratory illnesses, including severe respiratory syndrome, indicating that the virus most likely infects respiratory epithelial cells and spreads mainly via respiratory tract from human to human. However, viral target cells and organs have not been fully determined, impeding our understanding of the pathogenesis of the viral infection and viral transmission routes. According to a recent case report, SARS-CoV-2 RNA was detected in a stool specimen, 1 raising the question of viral gastrointestinal infection and a fecal-oral transmission route. It has been proven that SARS-CoV-2 uses angiotensin-converting enzyme (ACE) 2 as a viral receptor for entry process. 2 ACE2 messenger RNA is highly expressed and stabilized by B0AT1 in gastrointestinal system, 3 , 4 providing a prerequisite for SARS-CoV-2 infection. To further investigate the clinical significance of SARS-CoV-2 RNA in feces, we examined the viral RNA in feces from 71 patients with SARS-CoV-2 infection during their hospitalizations. The viral RNA and viral nucleocapsid protein were examined in gastrointestinal tissues from 1 of the patients. Methods From February 1 to 14, 2020, clinical specimens, including serum, nasopharyngeal, and oropharyngeal swabs; urine; stool; and tissues from 73 hospitalized patients infected with SARS-CoV-2 were obtained in accordance with China Disease Control and Prevention guidelines and tested for SARS-CoV-2 RNA by using the China Disease Control and Prevention–standardized quantitative polymerase chain reaction assay. 5 Clinical characteristics of the 73 patients are shown in Supplementary Table 1. The esophageal, gastric, duodenal, and rectal tissues were obtained from 1 of the patients by using endoscopy. The patient’s clinical information is described in the Supplementary Case Clinical Information and Supplementary Table 2. Histologic staining (H&E) as well as viral receptor ACE2 and viral nucleocapsid staining were performed as described in the Supplementary Methods. The images of fluorescent staining were obtained by using laser scanning confocal microscopy (LSM880, Carl Zeiss MicroImaging, Oberkochen, Germany) and are shown in Figure 1 . This study was approved by the Ethics Committee of The Fifth Affiliated Hospital, Sun Yat-sen University, and all patients signed informed consent forms. Figure 1 Images of histologic and immunofluorescent staining of gastrointestinal tissues. Shown are images of histologic and immunofluorescent staining of esophagus, stomach, duodenum, and rectum. The scale bar in the histologic image represents 100 μm. The scale bar in the immunofluorescent image represents 20 μm. Results From February 1 to 14, 2020, among all of the 73 hospitalized patients infected with SARS-CoV-2, 39 (53.42%), including 25 male and 14 female patients, tested positive for SARS-CoV-2 RNA in stool, as shown in Supplementary Table 1. The age of patients with positive results for SARS-CoV-2 RNA in stool ranged from 10 months to 78 years old. The duration time of positive stool results ranged from 1 to 12 days. Furthermore, 17 (23.29%) patients continued to have positive results in stool after showing negative results in respiratory samples. Gastrointestinal endoscopy was performed on a patient as described in the Supplementary Case Clinical Information. As shown in Figure 1, the mucous epithelium of esophagus, stomach, duodenum, and rectum showed no significant damage with H&E staining. Infiltrate of occasional lymphocytes was observed in esophageal squamous epithelium. In lamina propria of the stomach, duodenum, and rectum, numerous infiltrating plasma cells and lymphocytes with interstitial edema were seen. Importantly, viral host receptor ACE2 stained positive mainly in the cytoplasm of gastrointestinal epithelial cells (Figure 1). We observed that ACE2 is rarely expressed in esophageal epithelium but is abundantly distributed in the cilia of the glandular epithelia. Staining of viral nucleocapsid protein was visualized in the cytoplasm of gastric, duodenal, and rectum glandular epithelial cell, but not in esophageal epithelium. The positive staining of ACE2 and SARS-CoV-2 was also observed in gastrointestinal epithelium from other patients who tested positive for SARS-CoV-2 RNA in feces (data not shown). Discussion In this article, we provide evidence for gastrointestinal infection of SARS-CoV-2 and its possible fecal-oral transmission route. Because viruses spread from infected to uninfected cells, 6 viral-specific target cells or organs are determinants of viral transmission routes. Receptor-mediated viral entry into a host cell is the first step of viral infection. Our immunofluorescent data showed that ACE2 protein, which has been proven to be a cell receptor for SARS-CoV-2, is abundantly expressed in the glandular cells of gastric, duodenal, and rectal epithelia, supporting the entry of SARS-CoV-2 into the host cells. ACE2 staining is rarely seen in esophageal mucosa, probably because the esophageal epithelium is mainly composed of squamous epithelial cells, which express less ACE2 than glandular epithelial cells. Our results of SARS-CoV-2 RNA detection and intracellular staining of viral nucleocapsid protein in gastric, duodenal, and rectal epithelia demonstrate that SARS-CoV-2 infects these gastrointestinal glandular epithelial cells. Although viral RNA was also detected in esophageal mucous tissue, absence of viral nucleocapsid protein staining in esophageal mucosa indicates low viral infection in esophageal mucosa. After viral entry, virus-specific RNA and proteins are synthesized in the cytoplasm to assemble new virions, 7 which can be released to the gastrointestinal tract. The continuous positive detection of viral RNA from feces suggests that the infectious virions are secreted from the virus-infected gastrointestinal cells. Recently, we and others have isolated infectious SARS-CoV-2 from stool (unpublished data), confirming the release of the infectious virions to the gastrointestinal tract. Therefore, fecal-oral transmission could be an additional route for viral spread. Prevention of fecal-oral transmission should be taken into consideration to control the spread of the virus. Our results highlight the clinical significance of testing viral RNA in feces by real-time reverse transcriptase polymerase chain reaction (rRT-PCR) because infectious virions released from the gastrointestinal tract can be monitored by the test. According to the current Centers for Disease Control and Prevention guidance for the disposition of patients with SARS-CoV-2, the decision to discontinue transmission-based precautions for hospitalized patients with SARS-CoV-2 is based on negative results rRT-PCR testing for SARS-CoV-2 from at least 2 sequential respiratory tract specimens collected ≥24 hours apart. 8 However, in more than 20% of patients with SARS-CoV-2, we observed that the test result for viral RNA remained positive in feces, even after test results for viral RNA in the respiratory tract converted to negative, indicating that the viral gastrointestinal infection and potential fecal-oral transmission can last even after viral clearance in the respiratory tract. Therefore, we strongly recommend that rRT-PCR testing for SARS-CoV-2 from feces should be performed routinely in patients with SARS-CoV-2 and that transmission-based precautions for hospitalized patients with SARS-CoV-2 should continue if feces test results are positive by rRT-PCR testing.
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                Author and article information

                Contributors
                Role: Reviewing Editor
                Role: Senior Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                07 July 2020
                2020
                : 9
                : e58227
                Affiliations
                [1 ]nference CambridgeUnited States
                [2 ]Mayo Clinic RochesterUnited States
                [3 ]nference Labs BangaloreIndia
                [4 ]Mayo Clinic Laboratories RochesterUnited States
                Radboud University Medical Center Netherlands
                Radboud University Medical Centre Netherlands
                Radboud University Medical Center Netherlands
                Author notes
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0001-6634-6272
                https://orcid.org/0000-0003-2819-3214
                http://orcid.org/0000-0002-6964-9639
                http://orcid.org/0000-0002-2478-7042
                https://orcid.org/0000-0001-7434-9211
                Article
                58227
                10.7554/eLife.58227
                7410498
                32633720
                f39714fd-2601-4ffd-87bb-7d746382582b
                © 2020, Wagner et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 24 April 2020
                : 06 July 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000060, National Institute of Allergy and Infectious Diseases;
                Award ID: AI110173
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000060, National Institute of Allergy and Infectious Diseases;
                Award ID: AI120698
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Short Report
                Human Biology and Medicine
                Microbiology and Infectious Disease
                Custom metadata
                Applying deep learning technology for the large-scale curation of symptoms from unstructured EHR clinical notes accurately predicts the differential signals of COVID-19 diagnosis over the week preceding typical PCR testing.

                Life sciences
                electronic health record,neural networks,machine learning,artificial intelligence,covid-19,sars-cov-2,human

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