Dataset Information

Risk factors for the COVID-19 severity and its correlation with viral shedding: A retrospective cohort study.

ABSTRACT: Coronavirus disease 2019 (COVID-19) have become a pandemic in the world. This study is aim to explore risk factors for COVID-19 severity in the early stage and the correlation between the viral shedding and COVID-19 severity. We included inpatient with laboratory confirmed COVID-19 who had been discharged by 9 March 2020. The medical record data and dynamic change of biochemical indicators in-hospital were compared between common and severe patients. Eighty patients were included in this study. Multivariable regression demonstrated increasing odds of severity associated with the duration of fever (odds ratio [OR], 1.42; 95% confidence interval [CI], 1.10-1.82, per day increase; P = .007), C-reactive protein (CRP) (OR, 1.26; 95% CI, 1.04-1.52; P = .02), and PO₂ < 80 mm Hg (28.07, 95% CI, 1.50-524.12; P = .026) on admission. We found severe acute respiratory syndrome coronavirus 2 viral RNA could be long-term presence in respiratory tract and fecal sample, up to 43 and 46 days, respectively. However, the duration of viral shedding have no correlation with the COVID-19 severity. The duration of fever, elevated CRP and PO₂ < 80 mm Hg on admission were associated with the COVID-19 severity in the early stage and there is no correlation between the viral shedding and COVID-19 severity.

SUBMITTER: Zheng X

PROVIDER: S-EPMC7821149 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Risk factors for the COVID-19 severity and its correlation with viral shedding: A retrospective cohort study.

Zheng Xinchun X Chen Jiehua J Deng Lisi L Fang Zhaoxiong Z Chen Gongqi G Ye Di D Xia Jinyu J Hong Zhongsi Z

Journal of medical virology 20200916 2

Coronavirus disease 2019 (COVID-19) have become a pandemic in the world. This study is aim to explore risk factors for COVID-19 severity in the early stage and the correlation between the viral shedding and COVID-19 severity. We included inpatient with laboratory confirmed COVID-19 who had been discharged by 9 March 2020. The medical record data and dynamic change of biochemical indicators in-hospital were compared between common and severe patients. Eighty patients were included in this study. ...[more]

PMID: 32725915

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Project description:BackgroundSeveral small studies on patients with COVID-19 and haematological malignancies are available showing a high mortality in this population. The Italian Hematology Alliance on COVID-19 aimed to collect data from adult patients with haematological malignancies who required hospitalisation for COVID-19.MethodsThis multicentre, retrospective, cohort study included adult patients (aged ≥18 years) with diagnosis of a WHO-defined haematological malignancy admitted to 66 Italian hospitals between Feb 25 and May 18, 2020, with laboratory-confirmed and symptomatic COVID-19. Data cutoff for this analysis was June 22, 2020. The primary outcome was mortality and evaluation of potential predictive parameters of mortality. We calculated standardised mortality ratios between observed death in the study cohort and expected death by applying stratum-specific mortality rates of the Italian population with COVID-19 and an Italian cohort of 31 993 patients with haematological malignancies without COVID-19 (data up to March 1, 2019). Multivariable Cox proportional hazards model was used to identify factors associated with overall survival. This study is registered with ClinicalTrials.gov, NCT04352556, and the prospective part of the study is ongoing.FindingsWe enrolled 536 patients with a median follow-up of 20 days (IQR 10-34) at data cutoff, 85 (16%) of whom were managed as outpatients. 440 (98%) of 451 hospitalised patients completed their hospital course (were either discharged alive or died). 198 (37%) of 536 patients died. When compared with the general Italian population with COVID-19, the standardised mortality ratio was 2·04 (95% CI 1·77-2·34) in our whole study cohort and 3·72 (2·86-4·64) in individuals younger than 70 years. When compared with the non-COVID-19 cohort with haematological malignancies, the standardised mortality ratio was 41·3 (38·1-44·9). Older age (hazard ratio 1·03, 95% CI 1·01-1·05); progressive disease status (2·10, 1·41-3·12); diagnosis of acute myeloid leukaemia (3·49, 1·56-7·81), indolent non-Hodgin lymphoma (2·19, 1·07-4·48), aggressive non-Hodgkin lymphoma (2·56, 1·34-4·89), or plasma cell neoplasms (2·48, 1·31-4·69), and severe or critical COVID-19 (4·08, 2·73-6·09) were associated with worse overall survival.InterpretationThis study adds to the evidence that patients with haematological malignancies have worse outcomes than both the general population with COVID-19 and patients with haematological malignancies without COVID-19. The high mortality among patients with haematological malignancies hospitalised with COVID-19 highlights the need for aggressive infection prevention strategies, at least until effective vaccination or treatment strategies are available.FundingAssociazione italiana contro le leucemie, linfomi e mieloma-Varese Onlus.

Project description:In this study we examine associations between substandard housing and the risk of COVID-19 infection and severity during the first year of the pandemic by linking individual-level housing and clinical datasets. Residents of Chelsea, Massachusetts who were tested for COVID-19 at any Mass General Brigham testing site and who lived at a property that had received a city housing inspection were included (N = 2873). Chelsea is a densely populated city with a high prevalence of substandard housing. Inspected properties with housing code violations were considered substandard; inspected properties without violations were considered adequate. COVID-19 infection was defined as any positive PCR test, and severe disease defined as hospitalization with COVID-19. We used a propensity score design to match individuals on variables including age, race, sex, and income. In the severity model, we also matched on ten comorbidities. We estimated the risk of COVID-19 infection and severity associated with substandard housing using Cox Proportional Hazards models for lockdown, the first phase of reopening, and the full study period. In our sample, 32% (919/2873) of individuals tested positive for COVID-19 and 5.9% (135/2297) had severe disease. During lockdown, substandard housing was associated with a 48% increased risk of COVID-19 infection (95%CI 1.1-2.0, p = 0.006). Through Phase 1 reopening, substandard housing was associated with a 39% increased infection risk (95%CI 1.1-1.8, p = 0.020). The difference in risk attenuated over the full study period. There was no difference in severe disease risk between the two groups. The increased risk, observed only during lockdown and early reopening - when residents were most exposed to their housing - strengthens claims that substandard housing conveys higher infection risk. The results demonstrate the value of combining cross-sector datasets. Existing city housing data can be leveraged 1) to identify and prioritize high-risk areas for future pandemic response, and 2) for longer-term housing solutions.

Dataset Information

Risk factors for the COVID-19 severity and its correlation with viral shedding: A retrospective cohort study.

Publications

Risk factors for the COVID-19 severity and its correlation with viral shedding: A retrospective cohort study.

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