Corpus overview


Overview

MeSH Disease

Hypertension (51)

Fever (43)

Diabetes Mellitus (33)

Cough (26)

Dyspnea (25)


Human Phenotype

Hypertension (52)

Cough (52)

Fever (46)

Fatigue (19)

Pneumonia (14)


Transmission

Seroprevalence
    displaying 1 - 10 records in total 52
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    CHARACTERISTICS, MANAGEMENT AND OUTCOMES OF CRITICALLY ILL COVID-19 PATIENTS ADMITTED TO ICU IN HOSPITALS IN MESHD BANGLADESH: A RETROSPECTIVE STUDY

    Authors: Ayan Saha; Mohammad Moinul Ahsan; Tarek-Ul Quader; Mohammad Umer Sharif Shohan; Sabekun Naher; Preya Dutta; Al-Shahriar Akash; H M Hamidullah Mehedi; A S M Arman Ullah Chowdhury; Hasanul Karim; Tazrina Rahman; Ayesha Parvin; Dilcia Sambrano; Yamitzel Zaldivar; Danilo Franco; Sandra Lopez Verges; Dexi Zhang; Fanjing Fan; Baojun Wang; Xavier Saez Llorens; Rodrigo DeAntonio; Ivonne Torres-Atencio; Eduardo Ortega-Barria; Rao Kosagisharaf; Ricardo Lleonart; Li Chong; Amador Goodridge; - COVID-19 SEROLOGY COLLABORATOR GROUP

    doi:10.1101/2020.09.24.20201285 Date: 2020-09-25 Source: medRxiv

    Objectives: This study aimed to analyse the epidemiological and clinical characteristics of critical COVID-19 cases and investigate risk factors including comorbidities and age TRANS in relation with the clinical aftermath of COVID-19 in critical cases in Bangladesh. Methods: In this retrospective study, epidemiological and clinical characteristics, complications, laboratory results, and clinical management of the patients were studied from data obtained from 168 individuals diagnosed with an advanced prognosis of COVID-19 admitted in two hospitals in Bangladesh. Results: Individuals in the study sample contracted COVID-19 through community transmission TRANS. 56.5% (n = 95) cases died in intensive care units (ICU) during the study period. The median age TRANS was 56 years and 79.2% (n=134) were male TRANS. Typical clinical manifestation included Acute respiratory distress HP respiratory distress MESHD syndrome ( ARDS MESHD) related complications (79.2%), fever HP fever MESHD (54.2%) and cough HP (25.6%) while diabetes mellitus HP diabetes mellitus MESHD (52.4%), hypertension HP hypertension MESHD (41.1%) and heart diseases MESHD (16.7%) were the conventional comorbidities. Clinical outcomes were detrimental due to comorbidities rather than age TRANS and comorbid individuals over 50 were at more risk. In the sample, oxygen saturation was low (< 95% SpO2) in 135 patients (80.4%) and 158 (93.4%) patients received supplemental oxygen. Identical biochemical parameters were found in both deceased and surviving cases. Administration of antiviral drug Remdesivir and the glucocorticoid, Dexamethasone increased the proportion of surviving patients slightly. Conclusions: Susceptibility to developing critical illness MESHD due to COVID-19 was found more in comorbid males TRANS. These atypical patients require more clinical attention from the prospect of controlling mortality rate in Bangladesh.

    Features of patients that died for COVID-19 in a Hospital in the south of Mexico: A observational cohort study

    Authors: Jesus Arturo Ruiz-Quinonez Sr.; Crystell Guzman-Priego Sr.; German Alberto Nolasco-Rosales Sr.; Carlos Alfonso Tovilla-Zarate; Oscar Israel Flores-Barrientos; Victor Narvaez-Osorio; Guadalupe del Carmen Baeza-Flores; Thelma Beatriz Gonzalez-Castro; Carlos Ramon Lopez-Brito; Carlos Alberto Denis-Garcia; Agustin Perez-Garcia; Isela Esther Juarez-Rojop; Zhen Cui; Qing Ye; Geng Chen; Kui-Kui Lu; Yin Chen; Yu-Tao Chen; Hong-Xing Pan; Bao-Li Zhu; Cheng-Feng Qin; Xiangxi Wang; Feng-Cai Zhu

    doi:10.1101/2020.09.21.20199117 Date: 2020-09-23 Source: medRxiv

    Background: Due to the wide spread of SARS-CoV2 around the world, the risk of death MESHD in individuals with metabolic comorbidities has dangerously increased. Mexico has a high number of infected individuals and deaths by COVID-19, as well as an important burden of metabolic diseases MESHD. However, reports about features of Mexican individuals with COVID-19 are scarce. The aim of this study was to evaluate demographic features, clinical characteristics, and the pharmacological treatment of individuals who died by COVID-19 in the south of Mexico. Methods: We performed an observational study including 185 deceased individuals with confirmed diagnosis of COVID-19. Data were retrieved from medical records. Categorical data was expressed as proportions (%) and numerical data were expressed as mean, standard deviation. Comorbidities and overlapping symptoms where plotted as Venn diagrams. Drug clusters were plotted as dendrograms. Results: The mean age TRANS was 59.53 years. There was a male TRANS predominance (60.1%). The mean hospital stay was 4.75 days. The most frequent symptoms were dyspnea HP dyspnea MESHD (88.77%), fever HP fever MESHD (71.42%) and dry cough MESHD cough HP (64.28%). Present comorbidities were diabetes MESHD (60.63%), hypertension HP hypertension MESHD (59.57%) and obesity HP obesity MESHD (43.61%). The main drugs used were azithromycin (60.6%), hydroxychloroquine (53.0%) and oseltamivir (27.3%). Conclusions: Mexican individuals who died of COVID-19 had shorter hospital stays, higher frequency of shortness of breath MESHD, and higher prevalence SERO of diabetes MESHD compared with individuals from other countries. Also, there was a high frequency of off-label use of drugs for their treatment.

    Ruling In and Ruling Out COVID-19: Computing SARS-CoV-2 Infection Risk TRANS Infection Risk TRANS From Symptoms, Imaging and Test Data.

    Authors: Chistopher D'Ambrosia; Henrik Christensen; Eliah Aronoff-Spencer

    doi:10.1101/2020.09.18.20197582 Date: 2020-09-22 Source: medRxiv

    Background: Assigning meaningful probabilities of SARS CoV2 infection risk TRANS infection risk TRANS presents a diagnostic challenge across the continuum of care. Methods: We integrated patient symptom and test data using machine learning and Bayesian inference to quantify individual patient risk of SARS CoV 2 infection MESHD. We trained models with 100,000 simulated patient profiles based on thirteen symptoms, estimated local prevalence SERO, imaging, and molecular diagnostic performance SERO from published reports. We tested these models with consecutive patients who presented with a COVID 19 compatible illness at the University of California San Diego Medical Center over 14 days starting in March 2020. Results: We included 55 consecutive patients with fever HP fever MESHD (78%) or cough HP cough MESHD (77%) presenting for ambulatory (n=11) or hospital care (n=44). 51% (n=28) were female TRANS, 49% were age TRANS <60. Common comorbidities included diabetes MESHD (22%), hypertension HP hypertension MESHD (27%), cancer MESHD (16%) and cardiovascular disease MESHD (13%). 69% of these (n=38) were RT-PCR confirmed positive for SARS CoV2 infection, 11 had repeated negative nucleic acid testing and an alternate diagnosis. Bayesian inference network, distance metric learning, and ensemble models discriminated between patients with SARS CoV2 infection MESHD and alternate diagnoses with sensitivities SERO of 81.6 to 84.2%, specificities of 58.8 to 70.6%, and accuracies of 61.4 to 71.8%. After integrating imaging and laboratory test statistics with the predictions of the Bayesian inference network, changes in diagnostic uncertainty at each step in the simulated clinical evaluation process were highly sensitive to location, symptom, and diagnostic test choices. Conclusions: Decision support models that incorporate symptoms and available test results can help providers diagnose SARS CoV2 infection MESHD in real world settings.

    Predicting clinical outcome with phenotypic clusters in COVID-19 pneumonia HP pneumonia MESHD: 2 an analysis of 12,066 hospitalized patients from the Spanish registry SEMI-3 COVID-19.

    Authors: Manuel Rubio-Rivas; Xavier Corbella; Jose Maria Mora-Lujan; Jose Loureiro Amigo; Almudena Lopez Sampalo; Carmen Yera Bergua; Pedro Jesus Esteve Atienzar; Luis Felipe Diez Garcia; Ruth Gonzalez Ferrer; Susana Plaza Canteli; Antia Perez Pineiro; Begona Cortes Rodriguez; Leyre Jorquer Vidal; Ignacio Perez Catalan; Marta Leon Tellez; Jose Angel Martin Oterino; Maria Candelaria Martin Gonzalez; Jose Luis Serrano Carrillo de Albornoz; Eva Garcia Sardon; Jose Nicolas Alcala Pedrajas; Anabel Martin Urda Diez Canseco; Maria Jose Esteban Giner; Pablo Telleria Gomez; Ricardo Gomez Huelgas; Jose Manuel Ramos Rincon; Nina la Cour Freiesleben; Henriette Svarre Nielsen

    doi:10.1101/2020.09.14.20193995 Date: 2020-09-15 Source: medRxiv

    (1) Background: This study aims to identify different clinical phenotypes in COVID-19 88 pneumonia HP pneumonia MESHD using cluster analysis and to assess the prognostic impact among identified clusters in 89 such patients. (2) Methods: Cluster analysis including 11 phenotypic variables was performed in a 90 large cohort of 12,066 COVID-19 patients, collected and followed-up from March 1, to July 31, 2020, 91 from the nationwide Spanish SEMI-COVID-19 Registry. (3) Results: Of the total of 12,066 patients 92 included in the study, most were males TRANS (7,052, 58.5%) and Caucasian (10,635, 89.5%), with a mean 93 age TRANS at diagnosis of 67 years (SD 16). The main pre-admission comorbidities were arterial 94 hypertension HP hypertension MESHD (6,030, 50%), hyperlipidemia HP hyperlipidemia MESHD (4,741, 39.4%) and diabetes mellitus HP diabetes mellitus MESHD (2,309, 19.2%). The 95 average number of days from COVID-19 symptom onset TRANS to hospital admission was 6.7 days (SD 7). 96 The triad of fever HP fever MESHD, cough HP cough MESHD, and dyspnea HP dyspnea MESHD was present almost uniformly in all 4 clinical phenotypes 97 identified by clustering. Cluster C1 (8,737 patients, 72.4%) was the largest, and comprised patients 98 with the triad alone. Cluster C2 (1,196 patients, 9.9%) also presented with ageusia and anosmia MESHD anosmia HP; 99 cluster C3 (880 patients, 7.3%) also had arthromyalgia, headache HP headache MESHD, and sore throat; and cluster C4 100 (1,253 patients, 10.4%) also manifested with diarrhea HP diarrhea MESHD, vomiting HP vomiting MESHD, and abdominal pain HP abdominal pain MESHD. Compared to 101 each other, cluster C1 presented the highest in-hospital mortality (24.1% vs. 4.3% vs. 14.7% vs. 102 18.6%; p<0.001). The multivariate study identified phenotypic clusters as an independent factor for 103 in-hospital death. (4) Conclusion: The present study identified 4 phenotypic clusters in patients with 104 COVID-19 pneumonia HP pneumonia MESHD, which predicted the in-hospital prognosis of clinical outcomes.

    Risk Factors Analysis of COVID-19 Patients with ARDS MESHD and Prediction Based on Machine Learning

    Authors: Wan Xu; Nan-Nan Sun; Hai-Nv Gao; Zhi-Yuan Chen; Ya Yang; Bin Ju; Ling-Ling Tang

    doi:10.21203/rs.3.rs-77820/v1 Date: 2020-09-15 Source: ResearchSquare

    COVID-19 is a newly emerging infectious disease MESHD, which is generally susceptible to human beings and has caused huge losses to people's health. Acute respiratory distress HP respiratory distress MESHD syndrome ( ARDS MESHD) is one of the common clinical manifestations of severe COVID-19 and it is also responsible for the current shortage of ventilators worldwide. This study aims to analyze the clinical characteristics of COVID-19 ARDS MESHD patients and establish a diagnostic system based on artificial intelligence (AI) method to predict the probability of ARDS in COVID-19 patients. We collected clinical data of 659 COVID-19 patients from 11 regions in China. The clinical characteristics of the two groups were elaborately compared and both traditional machine learning algorithms MESHD and deep learning-based methods were used to build the prediction models. Results indicated the median age TRANS of ARDS MESHD patients was 56.5 years old, which was significantly older than those with non-ARDS by 7.5 years. Male TRANS and patients with BMI>25 were more likely to develop ARDS MESHD. The clinical features of ARDS MESHD patients included cough HP (80.3%), polypnea (59.2%), lung consolidation (53.9%), secondary bacterial infection MESHD (30.3%), and comorbidities such as hypertension HP hypertension MESHD (48.7%). Abnormal biochemical indicators such as lymphocyte count, leukocyte counting, CK, NLR, AST, LDH, and CRP were all strongly related to the aggravation of ARDS. Furthermore, through various AI methods for modeling and prediction effect evaluation based on the above risk factors, decision tree achieved the best AUC, sensitivity SERO, and specificity in identifying the mild patients who were easy to develop ARDS MESHD, which undoubtedly helps to optimize the treatment strategy, reduce mortality, and relieve the medical pressure. 

    The Effect of Early Hydroxychloroquine-based Therapy in COVID-19 Patients in Ambulatory Care Settings: A Nationwide Prospective Cohort Study

    Authors: Tarek Sulaiman; Abdulrhman Mohana; Laila Alawdah; Nagla Mahmoud; Mustafa Hassanein; Tariq Wani; Amel Alfaifi; Eissa Alenazi; Nashwa Radwan; Nasser AlKhalifah; Ehab Elkady; Manwer AlAnazi; Mohammed Alqahtani; Khalid Abdalla; Yousif Yousif; Fouad AboGazalah; Fuad Awwad; Khaled AlabdulKareem; Fahad AlGhofaili; Ahmed AlJedai; Hani Jokhdar; Fahad Alrabiah

    doi:10.1101/2020.09.09.20184143 Date: 2020-09-13 Source: medRxiv

    ABSTRACT BACKGROUND: Currently, there is no proven effective therapy nor vaccine for the treatment of SARS-CoV-2. Evidence regarding the potential benefit of early administration of hydroxychloroquine (HCQ) therapy in symptomatic patients with Coronavirus Disease MESHD (COVID-19) is not clear. METHODS: This observational prospective cohort study took place in 238 ambulatory fever HP clinics in Saudi Arabia, which followed the Ministry of Health (MOH) COVID-19 treatment guideline. This guideline included multiple treatment options for COVID-19 based on the best available evidence at the time, among which was Hydroxychloroquine (HCQ). Patients with confirmed COVD-19 (by reverse transcriptase polymerase chain reaction (PCR) test) who presented to these clinics with mild to moderate symptoms during the period from 5-26 June 2020 were included in this study. Our study looked at those who received HCQ-based therapy along with supportive care (SC) and compared them to patients who received SC alone. The primary outcome was hospital admission within 28-days of presentation. The secondary outcome was a composite of intensive care admission (ICU) and/or mortality during the follow-up period. Outcome data were assessed through a follow-up telephonic questionnaire at day 28 and were further verified with national hospitalisation and mortality registries. Multiple logistic regression model was used to control for prespecified confounders. RESULTS: Of the 7,892 symptomatic PCR-confirmed COVID-19 patients who visited the ambulatory fever HP clinics during the study period, 5,541 had verified clinical outcomes at day 28 (1,817 patients in the HCQ group vs 3,724 in the SC group). At baseline, patients who received HCQ therapy were more likely to be males TRANS who did not have hypertension HP hypertension MESHD or chronic lung disease HP lung disease MESHD compared to the SC group. No major differences were noted regarding other comorbid conditions. All patients were presenting with active complaints; however, the HCQ groups had higher rates of symptoms compared to the SC group ( fever HP fever MESHD: 84% vs 66.3, headache HP headache MESHD: 49.8 vs 37.4, cough HP: 44.5 vs 35.6, respectively). Early HCQ-based therapy was associated with a lower hospital admission within 28-days compared to SC alone (9.4% compared to 16.6%, RRR 43%, p-value <0.001). The composite outcome of ICU admission and/or mortality at 28-days was also lower in the HCQ group compared to the SC (1.2% compared to 2.6%, RRR 54%, p-value 0.001). Adjusting for age TRANS, gender TRANS, and major comorbid conditions, a multivariate logistic regression model showed a decrease in the odds of hospitalisation in patients who received HCQ compared to SC alone (adjusted OR 0.57 [95% CI 0.47-0.69], p-value <0.001). The composite outcome of ICU admission and/or mortality was also lower for the HCQ group compared to the SC group controlling for potential confounders (adjusted OR 0.55 [95% CI 0.34-0.91], p-value 0.019). CONCLUSION: Early intervention with HCQ-based therapy in patients with mild to moderate symptoms at presentation is associated with lower adverse clinical outcomes among COVID-19 patients, including hospital admissions, ICU admission, and/or death.

    Clinical Characteristics, Risk Factors and Predictive Value of COVID-19 Pneumonia HP: A Retrospective Study of 173 Patients in Wuhan, China

    Authors: Yang Zhang; Jun Xue; Mi Yan; Jing Chen; Hai Liu; Shao-Bo Wang; Jian-Xing Luo; Fang Yang; Jian-Yuan Tang; Xiao-Yu Hu

    doi:10.21203/rs.3.rs-76134/v1 Date: 2020-09-11 Source: ResearchSquare

    Background: COVID-19 is a globally emerging infectious disease MESHD. As the global epidemic continues to spread, the risk of COVID-19 transmission TRANS and diffusion in the world will also remain. Currently, several studies describing its clinical characteristics have focused on the initial outbreak, but rarely to the later stage. Here we described clinical characteristics, risk factors for disease severity and in-hospital outcome in patients with COVID-19 pneumonia HP pneumonia MESHD from Wuhan. Methods: Patients with COVID-19 pneumonia HP pneumonia MESHD admitted to Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from February 13 to March 8, 2020, were retrospectively enrolled. Multivariable logistic regression analysis was used to identify risk factors for disease severity and in-hospital outcome and establish predictive models. Receiver operating characteristic (ROC) curve was used to assess the predictive value of above models.Results: 106 (61.3%) of the patients were female TRANS. The mean age TRANS of study populations was 62.0 years, of whom 73 (42.2%) had underlying comorbidities mainly including hypertension HP hypertension MESHD (24.9%). The most common symptoms on admission were fever HP fever MESHD (67.6%) and cough HP (60.1%), digestive symptoms (22.0%) was also very common. Older age TRANS (OR: 3.420; 95%Cl: 1.415-8.266; P=0.006), diarrhea HP diarrhea MESHD (OR: 0.143; 95%Cl: 0.033-0.611; P=0.009) and lymphopenia HP lymphopenia MESHD (OR: 4.769; 95%Cl: 2.019-11.266; P=0.000) were associated with severe illness on admission; the area under the ROC curve (AUC) of predictive model were 0.860 (95%CI: 0.802-0.918; P=0.000). Older age TRANS (OR: 0.309; 95%Cl: 0.142-0.674; P=0.003), leucopenia (OR: 0.165; 95%Cl: 0.034-0.793; P=0.025), increased lactic dehydrogenase (OR: 0.257; 95%Cl: 0.100-0.659; P=0.005) and interleukins-6 levels (OR: 0.294; 95%Cl: 0.099-0.872; P=0.027) were associated with poor in-hospital outcome; AUC of predictive model were 0.752 (95%CI: 0.681-0.824; P=0.000).Conclusion: Older patients with diarrhea HP diarrhea MESHD and lymphopenia HP lymphopenia MESHD need early identification and timely intervention to prevent the progression to severe COVID-19 pneumonia HP pneumonia MESHD. However, older patients with leucopenia, increased lactic dehydrogenase and interleukins-6 levels are at a high risk for poor in-hospital outcome.Trial registration: ChiCTR2000029549

    Clinical Characteristics of Severe Covid Pneumonia HP: Exploring New Trends in ICU

    Authors: Aftab Akhtar; Sheher Bano; Ahtesham Iqbal; Moazma Ramzan; Aayesha Qadeer; Syed Waqar Hussain; Anam Saleem; Omair-ul-Haq Lodhi; Sana Zubair; Abdul Hameed kiani

    doi:10.21203/rs.3.rs-69224/v1 Date: 2020-08-31 Source: ResearchSquare

    Background: In late December 2019, Covid-19 emerged as clusters of pneumonia HP pneumonia MESHD of unknown cause in a province of china, Wuhan. Etiological agent was identified as novel coronavirus that resembles severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East Respiratory syndrome coronavirus (MERS-CoV) MESHD and has zoonotic transmission TRANS. Covid pneumonia HP can remain asymptomatic TRANS, present as mild infection, severe HP infection, severe MESHD pneumonia HP pneumonia MESHD or respiratory failure HP respiratory failure MESHD. Diagnosis is based on rRT-PCR carried out on respiratory secretions. Covid related mortality exceeds 50% once patient requires ICU admission. Objective: To study the characteristics of ICU population admitted to ICU of Shifa International hospital.Results: we prospectively analysed 74 patients which included 43.3% females TRANS and 56.7% males TRANS. Commonest symptoms were shortness of breath MESHD (94.5%), fever HP fever MESHD (74.3%) and cough HP (74.3%). Most of our study population consisted of non-smokers (79.7%) and had hypertension HP hypertension MESHD (59.4%) followed by diabetes MESHD (47.2%). Hydroxychloroquine (HCQ) and azithromycin combination is superior to hydroxychloroquine and doxycycline in reducing mortality (p=0.023) whereas Doxycycline alone resulted in increased mortality (p=0.009). Those who did not require antibiotics or required only narrow spectrum antibiotics had increased survival and reduced requirement of invasive mechanical ventilation (p=< 0.0001). in our study population, (44.9%) developed acute kidney injury HP acute kidney injury MESHD, 2.7% needed re-intubations 10.8% developed surgical emphysema HP emphysema MESHD and 2.7 % thromboembolic MESHD events despite full anticoagulation. ICU mortality was 41.8% and was higher in females TRANS (59.4%, p=0.008), those who had SOFA score > 3.5 at time of admission, raised D-Dimers > 931 ng/ml, NLR > 9.2. It was further high in those who required invasive mechanical ventilation and vasopressor support (58.1% mortality p=< 0.001). ICU stay was more prolonged in those requiring invasive mechanical ventilation as compared to those who did not. (23 days vs 6 days, p=0.001). Mean plateau pressure was 19.6 ± 7.6; mean Driving pressures 14.4 ± 4.6; mean PaO2/FiO2 150.7 ± 73.9; mean SPO2/FiO2 173.9 ± 106.9; mean PEEP was 8.2 ±4.33.Conclusion: We concluded that severe covid pneumonia HP pneumonia MESHD is common amongst males TRANS, non-smokers those who had comorbid. HCQ and azithromycin combination is superior to combination of HCQ and doxycycline or doxycycline alone and QT prolongation MESHD is a rare complication. Baseline NLR, APACHI II, SOFA, SAPS II, NUTRIC scores, D-Dimers, invasive ventilation and vasopressor support are important tools to predict ICU mortality. Invasive mechanical ventilation carries higher mortality and associated with more prolonged ICU stay. AKI is most common complication followed by shock HP and surgical emphysema HP emphysema MESHD. CRP, Ferritin levels has no impact on outcome.

    Clinical characteristics study of elderly TRANS patients aged TRANS 75 or older with COVID-19 pneumonia HP pneumonia MESHD in China

    Authors: Chao Zhang; Hua Fu; Long Zhang; Yuxiong Yin; Jing Lin; Hu Liu; Qing Mao

    doi:10.21203/rs.3.rs-67737/v1 Date: 2020-08-28 Source: ResearchSquare

    Background: Coronavirus disease 2019 (COVID-19), a newly emerged respiratory disease MESHD caused by severe acute respiratory syndrome coronavirus 2 MESHD (SARS-CoV-2), has recently become pandemic. Clinical observation indicated that elderly TRANS patients had high incidence of severe pneumonia HP pneumonia MESHD and poor treatment efficacy. Therefore, this study was to clarify the characteristics of elderly TRANS patients aged TRANS 75 or older with COVID-19 pneumonia HP pneumonia MESHD in order to guide rational treatment for elderly TRANS patients. Methods: we enrolled 331 elderly TRANS patients aged TRANS 75 or older with confirmed COVID-19 in Huoshenshan hospital of Wuhan from February 3rd to March 31st. The cases were divided into general, serious and critical groups according to severity after hospitalization, and the difference among groups were compared by R package statistics software. Results: Compared with general group, serious and critical groups had more underlying comorbidities and higher incidence of cough HP cough MESHD, breath shortness MESHD and anorexia HP anorexia MESHD. Moreover, there existed obviously differences in many of laboratory indexes and CT images among them. serious and critical elderly TRANS patients were more likely to receive oxygen, mechanical ventilation, expectorant, corticosteroid, abidor, cephaloprin, imipenem, human serum SERO albumin (HSA), nutrition support, anti SARS-CoV-2 positive plasma SERO and actemra. Multivariate analysis of factors showed that male TRANS sex, hypertension HP hypertension MESHD, diabetes MESHD, renal diseases MESHD, breath shortness MESHD, neutrophil, platelet, creatinine, lactate dehydrogenase were the risk factor for serious and critical illness. While blood SERO cell (WBC) was the protective factor. Conclusion: elderly TRANS patients have high incidence of severe pneumonia HP pneumonia MESHD and poor treatment efficacy. The reasons might be that many of the elderly TRANS patients with COVID-19 pneumonia HP pneumonia MESHD have certain chronic disease MESHD, poor immune function and a meager response to the virus. the pathogenic mechanism of SARS-CoV-2 might be involved in the cell-mediated immunity and cytokine storms by acting on lymphocytes.

    Artificial Intelligence Based Study on Analyzing of Habits and with History of Diseases MESHD of Patients for Prediction of Recurrence of Disease Due to COVID-19

    Authors: Samir Kumar Bandyopadhyay; Shawni Dutta

    id:10.20944/preprints202008.0542.v1 Date: 2020-08-25 Source: Preprints.org

    A patient will visit physicians when he/she feels ill. This illness is not for COVID-19 but it is a general tendency of human being to visit doctor probably it can not be controlled by general drug. When a patient comes to a doctor, the doctor examines him/her after knowing his/her problem. The physician always asks him/her about some questions related to him/her daily life. For example, if a young male TRANS patient comes to a doctor with a symptom of fever HP fever MESHD and cough HP cough MESHD, the first question doctor asked him that he has a habit of smoking. Then doctor asks him whether this type of symptom appeared often to him previously or not. If the answers of both questions are yes, then the first one is habit and the second one is that he may suffering from some serious disease MESHD or a disease due to the weather. The aim of this paper is to consider habit of the patient as well as he/she has been affected by a critical disease. This information is used to build a model that will predict whether there is any possibility of his/her being affected by COVID-19. This research work contributes to tackle the pandemic situation occurred due to Corona Virus Infectious Disease MESHD, 2019 (Covid-19). Outbreak of this disease happens based on numerous factors such as past health records and habits of patients. Health records include diabetes tendency MESHD, cardiovascular disease MESHD existence, pregnancy, asthma HP asthma MESHD, hypertension HP hypertension MESHD, pneumonia HP pneumonia MESHD; chronic renal disease MESHD may contribute to this disease occurrence. Past lifestyles such as tobacco, alcohol consumption may be analyzed. A deep learning based framework is investigated to verify the relationship between past health records, habits of patients and covid-19 occurrence. A stacked Gated Recurrent Unit (GRU) based model is proposed in this paper that identifies whether a patient can be infected by this disease or not. The proposed predictive system is compared against existing benchmark Machine Learning classifiers such as Support Vector Machine (SVM) and Decision Tree (DT).

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MeSH Disease
Human Phenotype
Transmission
Seroprevalence


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