Corpus overview


MeSH Disease

Human Phenotype



There are no seroprevalence terms in the subcorpus

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    Impact of comorbidity burden on mortality in patients with COVID-19: a retrospective analysis of the Korean health insurance database

    Authors: Soo Ick Cho; Susie Yoon; Ho-Jin Lee

    doi:10.21203/ Date: 2020-08-05 Source: ResearchSquare

    We aimed to investigate the impact of comorbidity burden on mortality in patients with COVID-19. We analyzed the COVID-19 data from the nationwide health insurance claims of South Korea. Data on demographic characteristics, comorbidities, and mortality records of patients with COVID-19 were extracted from the database. The odds ratios of mortality according to comorbidities in patients with COVID-19 with and without adjustment for age TRANS and sex were calculated. The predictive value of the original Charlson comorbidity index (CCI) and the age TRANS-adjusted CCI (ACCI) for mortality in patients with COVID-19 were investigated using the receiver operating characteristic (ROC) curve analysis. Among 7,590 patients with COVID-19, 227 (3.0%) had died. After age TRANS and sex adjustment, hypertension MESHD hypertension HP, diabetes mellitus MESHD diabetes mellitus HP, congestive heart failure HP heart failure MESHD, dementia MESHD dementia HP, chronic pulmonary disease, liver MESHD, renal, and cancer were significant risk factors for mortality. The ROC curve analysis showed that ACCI threshold ≥4 yielded the best cut-off point for predicting mortality (area under the ROC 0.92; 95% CI, 0.91–0.94). Our study revealed multiple risk factors that were associated with mortality in patients with COVID-19. The high predictive power of the ACCI for mortality in our results could support the importance of old age TRANS and comorbidities in the severity of COVID-19.

    Cause-specific death MESHD in hospitalized individuals infected with SARS-CoV-2: More than just acute respiratory failure HP or thromboembolic events.

    Authors: Cobos-Siles Marta; Cubero-Morais, Pablo; Arroyo-Jiménez, Irene; Hernández-Gómez, Laura; Vargas-Parra, Derly Judith; González-Fernández, María; Cazorla-González, Marina; Gabella-Martín, Miriam; Ruíz-Albi, Tomás; Berezo-García, José Angel; García-Cruces-Méndez, Jesús Fernando; Miramontes-González, Pablo; Corral-Gudino, Luis

    doi:10.21203/ Date: 2020-07-02 Source: ResearchSquare

    Background: Infection MESHD with SARS-CoV-2 is becoming the leading cause of death MESHD in most countries during the 2020 pandemic.Objective:  to assess the association between COVID-19 and cause-specific death MESHD.Design: Retrospective cohort study.Setting and Participants: We included data from inpatients diagnosed with COVID-19 between March 18 and April 21, 2020, who died during their hospital stay. Demographic, clinical and management data were collected. Causes of death MESHD were ascertained by review of medical records.Results: The sample included 100 individuals. The median age TRANS was 85 (IQR 15), 59% were men. Fifteen patients (15%) died from complications unrelated to COVID-19. In univariate analysis, these patients compared to those who died from COVID-19 complications had a greater likelihood of dementia MESHD dementia HP (47% vs 20%) and dependency in activities of daily living (93% vs 48%), higher Charlson comorbidity index scores (6 vs 5), a lower likelihood of fever MESHD fever HP at diagnosis (47% vs 77%), and higher lymphocyte counts (1,000 vs 660). In multivariate analysis, patients were older (OR 1.10, 95% CI 1.00–1.23) and more often had heart failure MESHD (OR 5.58, 95% CI 1.09–28.66). The presence of X-ray infiltrates was uncommon (OR 0.03, 95% CI 0.01–0.17). A higher percentage of patient deaths MESHD from causes unrelated to COVID-19 complications occurred during the two first weeks of the pandemic.Conclusions: Fifteen percent of patients with COVID-19 died from causes unrelated to COVID-19 complications. Most of these patients had more comorbidities and were frail and elderly TRANS. These findings can partially explain the excess mortality in older people.

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MeSH Disease
Human Phenotype

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