Corpus overview


Overview

MeSH Disease

Human Phenotype

Hypertension (196)

Fever (47)

Pneumonia (39)

Cough (38)

Obesity (36)


Transmission

Seroprevalence
    displaying 1 - 10 records in total 196
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    Characteristics of COVID-19 fatality cases in East Kalimantan, Indonesia

    Authors: Swandari Paramita; Ronny Isnuwardana; Krispinus Duma; Rahmat Bakhtiar; Muhammad Khairul Nuryanto; Riries Choiru Pramulia Yudia; Evi Fitriany; Meiliati Aminyoto

    doi:10.1101/2020.08.01.20166470 Date: 2020-08-04 Source: medRxiv

    Introduction. Coronavirus Disease MESHD (COVID-19) is caused by SARS-CoV-2 infection MESHD. On March 2, 2020, Indonesia announced the first confirmed cases TRANS of COVID-19 infection MESHD. East Kalimantan will play an important role as the new capital of Indonesia. There is attention to the preparedness of East Kalimantan to respond to COVID-19. We report the characteristics of COVID-19 fatality cases in here. Methods. We retrospectively analyzed the fatality cases of COVID-19 patients from the East Kalimantan Health Office information system. All patients were confirmed COVID-19 by RT-PCR examination. Results. By July 31, 2020, 31 fatality cases of patients had been identified as having confirmed COVID-19 in East Kalimantan. The mean age TRANS of the patients was 55.1 + 9.2 years. Most of the patients were men (22 [71.0%]) with age TRANS more than 60 years old (14 [45.2%]). Balikpapan has the highest number of COVID-19 fatality cases from all regencies. Hypertension MESHD Hypertension HP was the most comorbidities in the fatality cases of COVID-19 patients in East Kalimantan. Discussion. Older age TRANS and comorbidities still contributed to the fatality cases of COVID-19 patients in East Kalimantan, Indonesia. Hypertension MESHD Hypertension HP, diabetes, cardiovascular disease MESHD, and cerebrovascular disease MESHD were underlying conditions for increasing the risk of COVID-19 getting into a serious condition. Conclusion. Active surveillance for people older than 60 years old and having underlying diseases MESHD is needed for reducing the case fatality rate of COVID-19 in East Kalimantan. Keywords. Comorbidity, fatality cases, COVID-19, Indonesia.

    Clinical Characteristics and Severity of COVID-19 Disease MESHD in Patients from Boston Area Hospitals

    Authors: Hesamaddin Torabi Dashti; David Bates; Julie M Fiskio; Elise C Roche; Samia Mora; Olga Demler

    doi:10.1101/2020.07.27.20163071 Date: 2020-08-04 Source: medRxiv

    We summarize key demographic, clinical, and medical characteristics of patients with respect to the severity of COVID-19 disease MESHD using Electronic Health Records Data of 4,140 SARS-CoV-2 positive subjects from several large Boston Area Hospitals. We found that prior use of antihypertensive medications as well as lipid lowering and other cardiovascular drugs (such as direct oral anticoagulants and antiplatelets) all track with increased severity of COVID-19 and should be further investigated with appropriate adjustment for confounders such as age TRANS and frailty MESHD. The three most common prior comorbidities are hyperlipidemia MESHD hyperlipidemia HP, hypertension MESHD hypertension HP, and prior pneumonia MESHD pneumonia HP, all associated with increased severity.

    Clinical course and severity outcome indicators among COVID 19 hospitalized patients in relation to comorbidities distribution Mexican cohort

    Authors: Genny Carrillo; Nina Mendez Dominguez; Kassandra D Santos Zaldivar; Andrea Rochel Perez; Mario Azuela Morales; Osman Cuevas Koh; Alberto Alvarez Baeza

    doi:10.1101/2020.07.31.20165480 Date: 2020-08-04 Source: medRxiv

    Introduction: COVID-19 affected worldwide, causing to date, around 500,000 deaths MESHD. In Mexico, by April 29, the general case fatality was 6.52%, with 11.1% confirmed case TRANS mortality and hospital recovery rate around 72%. Once hospitalized, the odds for recovery and hospital death MESHD rates depend mainly on the patients' comorbidities and age TRANS. In Mexico, triage guidelines use algorithms and risk estimation tools for severity assessment and decision-making. The study's objective is to analyze the underlying conditions of patients hospitalized for COVID-19 in Mexico concerning four severity outcomes. Materials and Methods: Retrospective cohort based on registries of all laboratory-confirmed patients with the COVID-19 infection MESHD that required hospitalization in Mexico. Independent variables were comorbidities and clinical manifestations. Dependent variables were four possible severity outcomes: (a) pneumonia MESHD pneumonia HP, (b) mechanical ventilation (c) intensive care unit, and (d) death MESHD; all of them were coded as binary Results: We included 69,334 hospitalizations of laboratory-confirmed and hospitalized patients to June 30, 2020. Patients were 55.29 years, and 62.61% were male TRANS. Hospital mortality among patients aged TRANS<15 was 9.11%, 51.99% of those aged TRANS >65 died. Male TRANS gender TRANS and increasing age TRANS predicted every severity outcome. Diabetes and hypertension MESHD hypertension HP predicted every severity outcome significantly. Obesity MESHD Obesity HP did not predict mortality, but CKD, respiratory diseases MESHD, cardiopathies were significant predictors. Conclusion: Obesity MESHD Obesity HP increased the risk for pneumonia MESHD pneumonia HP, mechanical ventilation, and intensive care admittance, but it was not a predictor of in-hospital death MESHD. Patients with respiratory diseases MESHD were less prone to develop pneumonia MESHD pneumonia HP, to receive mechanical ventilation and intensive care unit assistance, but they were at higher risk of in-hospital death MESHD.

    Characteristics of 24,516 Patients Diagnosed with COVID-19 Illness in a National Clinical Research Network: Results from PCORnet

    Authors: Jason P Block; Keith A. Marsolo; Kshema Nagavedu; L Charles Bailey; Henry Cruz; Christopher B. Forrest; Kevin Haynes; Adrian F. Hernandez; Rainu Kaushal; Abel Kho; Kathleen M. McTigue; Vinit P. Nair; Richard Platt; Jon Puro; Russell L. Rothman; Elizabeth Shenkman; Lemuel Russell Waitman; Mark G. Weiner; Neely Williams; Thomas W. Carton

    doi:10.1101/2020.08.01.20163733 Date: 2020-08-04 Source: medRxiv

    Background: National data from diverse institutions across the United States are critical for guiding policymakers as well as clinical and public health leaders. This study characterized a large national cohort of patients diagnosed with COVID-19 in the U.S., compared to patients diagnosed with viral pneumonia MESHD pneumonia HP and influenza. Methods and Findings: We captured cross-sectional information from 36 large healthcare systems in 29 U.S. states, participating in PCORnet, the National Patient-Centered Clinical Research Network. Patients included were those diagnosed with COVID-19, viral pneumonia MESHD pneumonia HP and influenza in any care setting, starting from January 1, 2020. Using distributed queries executed at each participating institution, we acquired information for patients on care setting (any, ambulatory, inpatient or emergency MESHD department, mechanical ventilator), age TRANS, sex, race, state, comorbidities (assessed with diagnostic codes), and medications used for treatment of COVID-19 (hydroxychloroquine with or without azithromycin; corticosteroids, anti-interleukin-6 agents). During this time period, 24,516 patients were diagnosed with COVID-19, with 42% in an emergency MESHD department or inpatient hospital setting; 79,639 were diagnosed with viral pneumonia MESHD pneumonia HP (53% inpatient/ED) and 163,984 with influenza (41% inpatient/ED). Among COVID-19 patients, 68% were 20 to <65 years of age TRANS, with more of the hospitalized/ED patients in older age TRANS ranges (23% 65+ years vs. 12% for COVID-19 patients in the ambulatory setting). Patients with viral pneumonia MESHD pneumonia HP were of a similar age TRANS, and patients with influenza were much younger. Comorbidities were common, especially for patients with COVID-19 and viral pneumonia MESHD pneumonia HP, with hypertension MESHD hypertension HP (32% for COVID-19 and 46% for viral pneumonia MESHD pneumonia HP), arrhythmias HP (20% and 35%), and pulmonary disease MESHD (19% and 40%) the most common. Hydroxychloroquine was used in treatment for 33% and tocilizumab for 11% of COVID-19 patients on mechanical ventilators (25% received azithromycin as well). Conclusion and Relevance: PCORnet leverages existing data to capture information on one of the largest U.S. cohorts to date of patients diagnosed with COVID-19 compared to patients diagnosed with viral pneumonia MESHD pneumonia HP and influenza.

    Impact of tocilizumab administration on mortality in severe COVID-19

    Authors: Andrew Tsai; Oumou Diawara; Ronald G Nahass; Luigi Brunetti

    doi:10.1101/2020.07.30.20114959 Date: 2020-08-02 Source: medRxiv

    Background The novel coronavirus disease MESHD 2019 (COVID-19) worldwide pandemic has placed a significant burden on hospitals and healthcare providers. The immune response to this disease MESHD is thought to lead to a cytokine storm, which contributes to the severity of illness. There is an urgent need to confirm whether the use of tocilizumab provides a benefit in individuals with COVID-19. Methods A single-center propensity-score matched cohort study, including all consecutive COVID-19 patients, admitted to the medical center who were either discharged from the medical center or expired between March 1, 2020, and May 5, 2020, was performed. Patients were stratified according to the receipt of tocilizumab for cytokine storm and matched to controls using propensity scores. The primary outcome was in-hospital mortality. Results A total of 132 patients were included in the matched dataset (tocilizumab=66; standard of care=66). Approximately 73% of the patients were male TRANS. Hypertension MESHD Hypertension HP (55%), diabetes mellitus MESHD diabetes mellitus HP (31%), and chronic pulmonary disease MESHD (15%) were the most common comorbidities present. There were 18 deaths MESHD (27.3%) in the tocilizumab group and 18 deaths MESHD (27.3%) in the standard of care group (odds ratio, 1.0; 95% confidence interval, 0.465 - 2.151; p=1.00). Advanced age TRANS, history of myocardial infarction MESHD myocardial infarction HP, dementia MESHD dementia HP, chronic pulmonary disease, heart MESHD failure, and malignancy were significantly more common in patients who died. Interpretation The current analysis does not support the use of tocilizumab for the management of cytokine storm in patients with COVID-19. Use of this therapeutic agent should be limited to the context of a clinical trial until more evidence is available.

    Quantification of the association between predisposing health conditions, demographic, and behavioural factors with hospitalisation, intensive care unit admission, and death MESHD from COVID-19: a systematic review and meta-analysis

    Authors: Nathalie Veronica Fernandez Villalobos; Joerdis Jennifer Ott; Carolina Judith Klett-Tammen; Annabelle Bockey; Patrizio Vanella; Gerard Krause; Berit Lange

    doi:10.1101/2020.07.30.20165050 Date: 2020-08-01 Source: medRxiv

    Background Comprehensive evidence synthesis on the associations between comorbidities and behavioural factors with hospitalisation, Intensive Care Unit (ICU) admission, and death MESHD due to COVID-19 is lacking leading to inconsistent national and international recommendations on who should be targeted for non-pharmaceutical interventions and vaccination strategies. Methods We performed a systematic review and meta-analysis on studies and publicly available data to quantify the association between predisposing health conditions, demographics, and behavioural factors with hospitalisation, ICU admission, and death MESHD from COVID-19. We provided ranges of reported and calculated effect estimates and pooled relative risks derived from a meta-analysis and meta-regression. Results 75 studies were included into qualitative and 74 into quantitative synthesis, with study populations ranging from 19 - 44,672 COVID-19 cases. The risk of dying from COVID-19 was significantly associated with cerebrovascular [pooled RR 2.7 (95% CI 1.7-4.1)] and cardiovascular [RR 3.2 (CI 2.3-4.5)] diseases MESHD, hypertension MESHD hypertension HP [RR 2.6 (CI 2.0-3.4)], and renal disease MESHD [RR 2.5 (CI 1.8-3.4)]. Health care workers had lower risk for death MESHD and severe outcomes of disease MESHD (RR 0.1 (CI 0.1-0.3). Our meta-regression showed a decrease of the effect of some comorbidities on severity of disease MESHD with higher median age TRANS of study populations. Associations between comorbidities and hospitalisation and ICU admission were less strong than for death MESHD. Conclusions We obtained robust estimates on the magnitude of risk for COVID-19 hospitalisation, ICU admission, and death MESHD associated with comorbidities, demographic, and behavioural risk factors. We identified and confirmed population groups that are vulnerable and that require targeted prevention approaches.

    Clinical Outcomes From COVID-19 Following Use of Angiotensin-Converting Enzyme Inhibitors or Angiotensin-Receptor Blockers Among Patients with Hypertension MESHD Hypertension HP in South Korea: A nationwide study

    Authors: Ju Hwan Kim; Yeon-Hee Baek; Hyesung Lee; Young June Choe; Hyun Joon Shin; Ju-Young Shin

    doi:10.1101/2020.07.29.20164822 Date: 2020-08-01 Source: medRxiv

    There is ongoing debate as to whether angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin-receptor blockers (ARBs) use is associated with poor prognosis of coronavirus disease MESHD-2019 (COVID-19). We sought to investigate the association between ACEI/ARB use and risk of poor clinical outcomes from COVID-19. We identified 1,290 patients with hypertension MESHD hypertension HP, of which 682 had recorded ACEI/ARB use and 608 without the use during 30 days preceding the date of COVID-19 diagnosis in completely enumerated COVID-19 cohort in South Korea. Our primary endpoint was the clinical outcomes comprised of all-cause mortality, use of mechanical ventilation, intensive care unit (ICU) admission, and sepsis MESHD sepsis HP. We used inverse probability of treatment weighting (IPTW) to mitigate selection bias, and Poisson regression model to estimate the relative risks (RR) and 95% confidence intervals (CI) to compare outcomes in ACEI/ARB users with non-users. Compared to non-use, ACEI/ARB use was associated with lower clinical outcomes (IPTW adjusted RR, 0.60; 95% CI, 0.42-0.85; p=0.0046). When assessed by individual outcomes, ACEI/ARB use was not associated with all-cause mortality (IPTW adjusted RR, 0.62; 95% CI, 0.35-1.09; p=0.0973) and respiratory events (IPTW adjusted RR, 0.99; 95% CI, 0.84-1.17; p=0.9043). Subgroup analysis showed a trend toward protective role of ACEIs and ARBs against overall outcomes in men (IPTW adjusted RR, 0.84; 95% CI, 0.69-1.03; p-for-interaction=0.008) and with pre-existing respiratory disease MESHD (IPTW adjusted RR, 0.74; 95% CI, 0.60-0.92; p-for-interaction=0.0023). We present clinical evidence to support continuing ACE/ARB use in completely enumerated hypertensive COVID-19 cohort in South Korea.

    Descriptive epidemiology of 16,780 hospitalized COVID-19 patients in the United States

    Authors: Shemra Rizzo; Devika Chawla; Kelly Zalocusky; Daniel Keebler; Jenny Chia; Lisa Lindsay; Vincent Yau; Tripthi Kamath; Larry Tsai

    doi:10.1101/2020.07.17.20156265 Date: 2020-07-29 Source: medRxiv

    BACKGROUND: Despite the significant morbidity and mortality caused by the 2019 novel coronavirus disease MESHD (COVID-19), our understanding of basic disease MESHD epidemiology remains limited. This study aimed to describe key patient characteristics, comorbidities, treatments, and outcomes of a large U.S.-based cohort of patients hospitalized with COVD-19 using electronic health records (EHR). METHODS: We identified patients in the Optum De-identified COVID-19 EHR database who had laboratory-confirmed COVID-19 or a presumptive diagnosis between 20 February 2020 and 6 June 2020. We included hospitalizations that occurred 7 days prior to, or within 21 days after, COVID-19 diagnosis. Among hospitalized patients we describe the following: vital statistics and laboratory results on admission, relevant comorbidities (using diagnostic, procedural, and revenue codes), medications (NDC, HCPC codes), ventilation, intensive care unit (ICU) stay, length of stay (LOS), and mortality. RESULTS: We identified 76,819 patients diagnosed with COVID-19, 16,780 of whom met inclusion criteria for COVID-related hospitalization. Over half the cohort was over age TRANS 50 (74.5%), overweight MESHD overweight HP or obese (77.2%), or had hypertension MESHD hypertension HP (58.1%). At admission, 30.3% of patients presented with fever MESHD fever HP (>38C) and 32.3% had low oxygen saturation (<90%). Among the 16,099 patients with complete hospital records, we observed that 58.9% had hypoxia MESHD, 23.4% had an ICU stay during hospitalization, 18.1% were ventilated, and 16.2% died. The median LOS was 6 days (IQR: 4, 11). CONCLUSIONS: To our knowledge, this is the largest descriptive study of patients hospitalized with COVID-19 in the United States. We report summary statistics of key clinical outcomes that provide insights to better understand COVID-19 disease MESHD epidemiology.

    Comorbidities associated with regional variations in COVID-19 mortality revealed by population-level analysis

    Authors: Hongxing Yang; Fei Zhong

    doi:10.1101/2020.07.27.20158105 Date: 2020-07-29 Source: medRxiv

    Coronavirus disease MESHD 2019 (COVID-19), caused by severe acute respiratory syndrome MESHD coronavirus 2 (SARS-Cov-2), has developed into a global health crisis. Understanding the risk factors for poor outcomes of COVID-19 is thus important for successful management and control of the pandemic. However, the progress and severity of the epidemic across different regions show great differentiations. We hypothesized the origination of these differences are based on location-dependent variations in underlying population-wide health factors. Disease MESHD prevalence SERO or incidence data of states and counties of the United States were collected for a group of chronic diseases MESHD, including hypertension MESHD hypertension HP, diabetes, obesity MESHD obesity HP, stroke MESHD stroke HP, coronary heart disease MESHD, heart failure MESHD, physical inactivation, and common cancers (e.g., lung, colorectal, stomach, kidney and renal). Correlation and regression analysis identified the prevalence SERO of heart failure MESHD as a significant positive factor for region-level COVID-19 mortality. Similarly, the incidence of gastric cancer and thyroid cancer were also identified as significant factors contributing to regional variation in COVID-19 mortality. To explore the implications of these results, we re-analyzed the RNA-seq data for stomach adenocarcinoma MESHD (STAD) and colon carcinoma MESHD carcinoma HP (COAD) from The Cancer Genome Atlas (TCGA) project. We found that expression of genes in the immune response pathways were more severely disturbed in STAD than in COAD, implicating higher probability for STAD patients or individuals with precancerous chronic stomach diseases MESHD to develop cytokine storm once infected with COVID-19. Taken together, we conclude that location variations in particular chronic diseases MESHD and cancers contribute significantly to the regional variations in COVID-19 mortality.

    A Bayesian Framework for Estimating the Risk Ratio of Hospitalization for People with Comorbidity Infected by the SARS-CoV-2 Virus

    Authors: Xiang Gao; Qunfeng Dong

    doi:10.1101/2020.07.25.20162131 Date: 2020-07-28 Source: medRxiv

    Estimating the hospitalization risk for people with certain comorbidities infected by the SARS-CoV-2 virus is important for developing public health policies and guidance based on risk stratification. Traditional biostatistical methods require knowing both the number of infected people who were hospitalized and the number of infected people who were not hospitalized. However, the latter may be undercounted, as it is limited to only those who were tested for viral infection MESHD. In addition, comorbidity information for people not hospitalized may not always be readily available for traditional biostatistical analyses. To overcome these limitations, we developed a Bayesian approach that only requires the observed frequency of comorbidities in COVID-19 patients in hospitals and the prevalence SERO of comorbidities in the general population. By applying our approach to two different large-scale datasets in the U.S., our results consistently indicated that cardiovascular diseases MESHD carried the highest hospitalization risk for COVID-19 patients, followed by diabetes, chronic respiratory disease MESHD, hypertension MESHD hypertension HP, and obesity MESHD obesity HP, respectively.

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MeSH Disease
Human Phenotype
Transmission
Seroprevalence


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