Cross-sectional observational study of epidemiology of COVID-19 and clinical outcomes of hospitalised patients in North West London during March and April 2020

ObjectiveThe aim of this paper is to describe evolution, epidemiology and clinical outcomes of COVID-19 in subjects tested at or admitted to hospitals in North West London.DesignObservational cohort study.SettingLondon North West Healthcare NHS Trust (LNWH).ParticipantsPatients tested and/or admitted for COVID-19 at LNWH during March and April 2020Main outcome measuresDescriptive and analytical epidemiology of demographic and clinical outcomes (intensive care unit (ICU) admission, mechanical ventilation and mortality) of those who tested positive for COVID-19.ResultsThe outbreak began in the first week of March 2020 and reached a peak by the end of March and first week of April. In the study period, 6183 tests were performed in on 4981 people. Of the 2086 laboratory confirmed COVID-19 cases, 1901 were admitted to hospital. Older age group, men and those of black or Asian minority ethnic (BAME) group were predominantly affected (p<0.05). These groups also had more severe infection resulting in ICU admission and need for mechanical ventilation (p<0.05). However, in a multivariate analysis, only increasing age was independently associated with increased risk of death (p<0.05). Mortality rate was 26.9% in hospitalised patients.ConclusionThe findings confirm that men, BAME and older population were most commonly and severely affected groups. Only older age was independently associated with mortality.

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Ethnicity and clinical outcomes in COVID-19 A Systematic Review and Meta-analysis

10.1101/2020.09.05.20188821 ◽

2020 ◽

Author(s):

Shirley Sze ◽

Daniel Pan ◽

Laura J Gray ◽

Clareece R Nevill ◽

Christopher A Martin ◽

...

Keyword(s):

Ethnic Minority ◽

Ethnic Groups ◽

Cochrane Library ◽

Molecular Testing ◽

Public Health Importance ◽

Icu Admission ◽

Risk Of Death ◽

Hospitalised Patients ◽

Increased Risk ◽

Meta Analyses

Importance The association of ethnicity with outcomes in patients with COVID-19 is unclear. Objective To determine whether the risk of SARS-CoV-2 infection, COVID-19 intensive care unit (ICU) admission and mortality are associated with ethnicity. Data Sources We searched all English language articles published 1st December 2019 - 30th June 2020 within MEDLINE, EMBASE, PROSPERO and the Cochrane library using indexing terms for COVID-19 and ethnicity, as well as manuscripts awaiting peer review on MedRxiv during the same period. Study Selection Included studies reported original clinical data, disaggregated by ethnicity, on patients with confirmed or suspected COVID-19. We excluded correspondence, area level, modelling and basic science articles. Two independent reviewers screened articles for inclusion. Of 926 identified articles, 35 were included in the meta-analyses. Data Extraction and Synthesis The review was conducted according to PRISMA guidelines. Reviewers independently extracted data using a piloted form on: (1) rates of infection, ICU admission and mortality by ethnicity; and (2) unadjusted and adjusted data comparing ethnic minority and White groups. Data were pooled using random effects models. Main Outcomes and Measures Outcomes were: (1) infection with SARS-CoV-2 confirmed on molecular testing; (2) ICU admission; and (3) mortality in COVID-19 confirmed and suspected cases. Results 13,535,562 patients from 35 studies were included in the meta-analyses. Black, Asian and Hispanic individuals had a greater risk of infection compared to White individuals (Black: pooled adjusted RR: 2.06, 95% CI: 1.59-2.67; Asian: 1.35, 95%CI: 1.15-1.59; Hispanic: 1.77, 95% CI: 1.39-2.25). Black individuals were significantly more likely to be admitted to ICU than White individuals (pooled adjusted RR: 1.61, 95% CI: 1.02-2.55). Risk of mortality was similar across ethnicities among hospitalised patients, but increased among Asian and Mixed ethnic groups in the general population. Conclusions Black, Asian and Hispanic ethnic groups are at increased risk of SARS-CoV-2 infection. Black individuals may be more likely to require ICU admission for COVID-19. There may also be disparities in risk of death from COVID-19 at a population level. Our findings are of critical public health importance and should inform policy on minimising SARS-CoV-2 exposure in ethnic minority groups.

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Investigation of subsequent and co-infections associated with SARS-CoV-2 (COVID-19) in hospitalized patients

10.1101/2020.05.29.20117176 ◽

2020 ◽

Cited By ~ 3

Author(s):

Matthew P. Crotty ◽

Ronda Akins ◽

An Nguyen ◽

Rania Slika ◽

Kristen Rahmanzadeh ◽

...

Keyword(s):

Mechanical Ventilation ◽

Hospital Mortality ◽

Clinical Outcomes ◽

Cox Regression ◽

Hospitalized Patients ◽

Corticosteroid Administration ◽

Cox Regression Analysis ◽

Icu Admission ◽

Cell Counts ◽

Increased Risk

AbstractBackgroundSARS-CoV-2 has drastically affected healthcare globally and causes COVID-19, a disease that is associated with substantial morbidity and mortality. We aim to describe rates and pathogens involved in co-infection or subsequent infections and their impact on clinical outcomes among hospitalized patients with COVID-19.MethodsIncidence of and pathogens associated with co-infections, or subsequent infections, were analyzed in a multicenter observational cohort. Clinical outcomes were compared between patients with a bacterial respiratory co-infection (BRC) and those without. A multivariable Cox regression analysis was performed evaluating survival.ResultsA total of 289 patients were included, 48 (16.6%) had any co-infection and 25 (8.7%) had a BRC. No significant differences in comorbidities were observed between patients with co-infection and those without. Compared to those without, patients with a BRC had significantly higher white blood cell counts, lactate dehydrogenase, C-reactive protein, procalcitonin and interleukin-6 levels. ICU admission (84.0 vs 31.8%), mechanical ventilation (72.0 vs 23.9%) and in-hospital mortality (45.0 vs 9.8%) were more common in patients with BRC compared to those without a co-infection. In Cox proportional hazards regression, following adjustment for age, ICU admission, mechanical ventilation, corticosteroid administration, and pre-existing comorbidities, patients with BRC had an increased risk for in-hospital mortality (adjusted HR, 3.37; 95% CI, 1.39 to 8.16; P = 0.007). Subsequent infections were uncommon, with 21 infections occurring in 16 (5.5%) patients.ConclusionsCo-infections are uncommon among hospitalized patients with COVID-19, however, when BRC occurs it is associated with worse clinical outcomes including higher mortality.

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Ethnicity, pre-existing comorbidities, and outcomes of hospitalised patients with COVID-19

Wellcome Open Research ◽

10.12688/wellcomeopenres.16580.2 ◽

2021 ◽

Vol 6 ◽

pp. 32

Author(s):

Gillian Santorelli ◽

Michael McCooe ◽

Trevor A. Sheldon ◽

John Wright ◽

Tom Lawton

Keyword(s):

South Asian ◽

Proportional Hazards ◽

Cox Proportional Hazards ◽

Older Age ◽

Risk Of Death ◽

Asian Patients ◽

Hospitalised Patients ◽

Increased Risk ◽

Minority Ethnic ◽

White Patients

Background: The coronavirus disease 2019 (COVID-19) pandemic has resulted in thousands of deaths in the UK. Those with existing comorbidities and minority ethnic groups have been found to be at increased risk of mortality. We wished to determine if there were any differences in intensive care unit (ICU) admission and 30-day hospital mortality in a city with high levels of deprivation and a large community of people of South Asian heritage. Methods: Detailed information on 582 COVID-19-positive inpatients in Bradford and Calderdale between February-August 2020 were extracted from Electronic Health Records. Logistic regression and Cox proportional hazards models were used to explore the relationship between ethnicity with admission to ICU and 30-day mortality, respectively accounting for the effect of demographic and clinical confounders. Results: The sample consisted of 408 (70%) White, 142 (24%) South Asian and 32 (6%) other minority ethnic patients. Ethnic minority patients were younger, more likely to live in deprived areas, and be overweight/obese, have type 2 diabetes, hypertension and asthma compared to white patients, but were less likely to have cancer (South Asian patients only) and COPD. Male and obese patients were more likely to be admitted to ICU, and patients of South Asian ethnicity, older age, and those with cancer were less likely. Being male, older age, deprivation, obesity, and cancer were associated with 30-day mortality. The risk of death in South Asian patients was the same as in white patients HR 1.03 (0.58, 1.82). Conclusions: Despite South Asian patients being less likely to be admitted to ICU and having a higher prevalence of diabetes and obesity, there was no difference in the risk of death compared to white patients. This contrasts with other findings and highlights the value of studies of communities which may have different ethnic, deprivation and clinical risk profiles.

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Ethnicity, pre-existing comorbidities, and outcomes of hospitalised patients with COVID-19

Wellcome Open Research ◽

10.12688/wellcomeopenres.16580.1 ◽

2021 ◽

Vol 6 ◽

pp. 32

Author(s):

Gillian Santorelli ◽

Michael McCooe ◽

Trevor A. Sheldon ◽

John Wright ◽

Tom Lawton

Keyword(s):

South Asian ◽

Proportional Hazards ◽

Cox Proportional Hazards ◽

Older Age ◽

Risk Of Death ◽

Asian Patients ◽

Hospitalised Patients ◽

Increased Risk ◽

Minority Ethnic ◽

White Patients

Background: The coronavirus disease 2019 (COVID-19) pandemic has resulted in thousands of deaths in the UK. Those with existing comorbidities and minority ethnic groups have been found to be at increased risk of mortality. We wished to determine if there were any differences in intensive care unit (ICU) admission and 30-day hospital mortality in a city with high levels of deprivation and a large community of people of South Asian heritage. Methods: Detailed information on 622 COVID-19-positive inpatients in Bradford and Calderdale between February-August 2020 were extracted from Electronic Health Records. Logistic regression and Cox proportional hazards models were used to explore the relationship between ethnicity with admission to ICU and 30-day mortality, respectively accounting for the effect of demographic and clinical confounders. Results: The sample consisted of 408 (70%) White, 142 (24%) South Asian and 32 (6%) other minority ethnic patients. Ethnic minority patients were younger, more likely to live in deprived areas, and be overweight/obese, have type 2 diabetes, hypertension and asthma compared to white patients, but were less likely to have cancer (South Asian patients only) and COPD. Male and obese patients were more likely to be admitted to ICU, and patients of South Asian ethnicity, older age, and those with cancer were less likely. Being male, older age, deprivation, obesity, and cancer were associated with 30-day mortality. The risk of death in South Asian patients was the same as in white patients HR 1.03 (0.58, 1.82). Conclusions: Despite South Asian patients being less likely to be admitted to ICU and having a higher prevalence of diabetes and obesity, there was no difference in the risk of death compared to white patients. This contrasts with other findings and highlights the value of studies of communities which may have different ethnic, deprivation and clinical risk profiles.

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Effect of timing of intubation on clinical outcomes of critically ill patients with COVID-19: a systematic review and meta-analysis of non-randomized cohort studies

Critical Care ◽

10.1186/s13054-021-03540-6 ◽

2021 ◽

Vol 25 (1) ◽

Author(s):

Eleni Papoutsi ◽

Vassilis G. Giannakoulis ◽

Eleni Xourgia ◽

Christina Routsi ◽

Anastasia Kotanidou ◽

...

Keyword(s):

Systematic Review ◽

Mechanical Ventilation ◽

Clinical Outcomes ◽

Critically Ill ◽

Critically Ill Patients ◽

Meta Analysis ◽

Mortality And Morbidity ◽

Icu Admission ◽

All Cause Mortality ◽

Detectable Difference

Abstract Background Although several international guidelines recommend early over late intubation of patients with severe coronavirus disease 2019 (COVID-19), this issue is still controversial. We aimed to investigate the effect (if any) of timing of intubation on clinical outcomes of critically ill patients with COVID-19 by carrying out a systematic review and meta-analysis. Methods PubMed and Scopus were systematically searched, while references and preprint servers were explored, for relevant articles up to December 26, 2020, to identify studies which reported on mortality and/or morbidity of patients with COVID-19 undergoing early versus late intubation. “Early” was defined as intubation within 24 h from intensive care unit (ICU) admission, while “late” as intubation at any time after 24 h of ICU admission. All-cause mortality and duration of mechanical ventilation (MV) were the primary outcomes of the meta-analysis. Pooled risk ratio (RR), pooled mean difference (MD) and 95% confidence intervals (CI) were calculated using a random effects model. The meta-analysis was registered with PROSPERO (CRD42020222147). Results A total of 12 studies, involving 8944 critically ill patients with COVID-19, were included. There was no statistically detectable difference on all-cause mortality between patients undergoing early versus late intubation (3981 deaths; 45.4% versus 39.1%; RR 1.07, 95% CI 0.99–1.15, p = 0.08). This was also the case for duration of MV (1892 patients; MD − 0.58 days, 95% CI − 3.06 to 1.89 days, p = 0.65). In a sensitivity analysis using an alternate definition of early/late intubation, intubation without versus with a prior trial of high-flow nasal cannula or noninvasive mechanical ventilation was still not associated with a statistically detectable difference on all-cause mortality (1128 deaths; 48.9% versus 42.5%; RR 1.11, 95% CI 0.99–1.25, p = 0.08). Conclusions The synthesized evidence suggests that timing of intubation may have no effect on mortality and morbidity of critically ill patients with COVID-19. These results might justify a wait-and-see approach, which may lead to fewer intubations. Relevant guidelines may therefore need to be updated.

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Clinical, behavioural and social factors associated with racial disparities in COVID-19 patients from an integrated healthcare system in Georgia: a retrospective cohort study

BMJ Open ◽

10.1136/bmjopen-2020-044052 ◽

2021 ◽

Vol 11 (5) ◽

pp. e044052

Author(s):

Felipe Lobelo ◽

Alan Bienvenida ◽

Serena Leung ◽

Armand Mbanya ◽

Elizabeth Leslie ◽

...

Keyword(s):

Quality Of Care ◽

Racial Disparities ◽

Clinical Outcomes ◽

Healthcare System ◽

Retrospective Cohort ◽

Chronic Obstructive ◽

Integrated Healthcare ◽

Icu Admission ◽

Hospitalised Patients

ObjectivesTo identify sociodemographic, clinical and behavioural drivers of racial disparities and their association with clinical outcomes among Kaiser Permanente Georgia (KPGA) members with COVID-19.DesignRetrospective cohort of patients with COVID-19 seen from 3 March to 29 October 2020. We described the distribution of underlying comorbidities, quality of care metrics, demographic and social determinants of health (SDOH) indicators across race groups. We also described clinical outcomes in hospitalised patients including length of stay, intensive care unit (ICU) admission, readmission and mortality. We performed multivariable analyses for hospitalisation risk among all patients with COVID-19 and stratifyied by race and sex.SettingKPGA, an integrated healthcare system.Participants5712 patients who all had laboratory-confirmed COVID-19. Of them, 57.8% were female, 58.4% black, 29.5% white, 8.5% Hispanic and 3.6% Asian.ResultsBlack patients had the highest proportions of living in neighborhoods under the federal poverty line (12.4%) and in more deprived locations (neighbourhood deprivation index=0.4). Overall, 14.4% (n=827) of this cohort was hospitalised. Asian patients had the highest rates of ICU admission (53.1%) and mechanical ventilation (21.9%). Among all patients, Hispanics (adjusted 1.60, 95% CI (1.08, 2.37)), blacks (1.43 (1.13, 1.83)), age in years (1.03 (1.02, 1.04)) and living in a zip code with high unemployment (1.08 (1.03, 1.13)) were associated with higher odds of hospitalisation. COVID-19 patients with chronic obstructive pulmonary disease (2.59 (1.67, 4.02)), chronic heart failure (1.79 (1.31, 2.45)), immunocompromised (1.77 (1.16, 2.70)), with glycated haemoglobin >8% (1.68 (1.19, 2.38)), depression (1.60 (1.24, 2.06)), hypertension (1.5 (1.21, 1.87)) and physical inactivity (1.25 (1.03, 1.51)) had higher odds of hospitalisation.ConclusionsBlack and Hispanic KPGA patients were at higher odds of hospitalisation, but not mortality, compared with other race groups. Beyond previously reported sociodemographics and comorbidities, factors such as quality of care, lifestyle behaviours and SDOH indicators should be considered when designing and implementing interventions to reduce COVID-19 racial disparities.

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Mortality and high risk of major adverse events in patients with COVID-19 and history of cardiovascular disease

Open Heart ◽

10.1136/openhrt-2020-001526 ◽

2021 ◽

Vol 8 (1) ◽

pp. e001526

Author(s):

Elena Tessitore ◽

David Carballo ◽

Antoine Poncet ◽

Nils Perrin ◽

Cedric Follonier ◽

...

Keyword(s):

Hospital Mortality ◽

Male Gender ◽

Hospital Death ◽

Chronic Obstructive ◽

University Hospitals ◽

Adverse Cardiovascular Event ◽

Risk Of Death ◽

Hospitalised Patients ◽

Increased Risk ◽

History Of

ObjectiveHistory of cardiovascular diseases (CVDs) may influence the prognosis of patients hospitalised for COVID-19. We investigated whether patients with previous CVD have increased risk of death and major adverse cardiovascular event (MACE) when hospitalised for COVID-19.MethodsWe included 839 patients with COVID-19 hospitalised at the University Hospitals of Geneva. Demographic characteristics, medical history, laboratory values, ECG at admission and medications at admission were collected based on electronic medical records. The primary outcome was a composite of in-hospital mortality or MACE.ResultsMedian age was 67 years, 453 (54%) were males and 277 (33%) had history of CVD. In total, 152 (18%) died and 687 (82%) were discharged, including 72 (9%) who survived a MACE. Patients with previous CVD were more at risk of composite outcomes 141/277 (51%) compared with those without CVD 83/562 (15%) (OR=6.0 (95% CI 4.3 to 8.4), p<0.001). Multivariate analyses showed that history of CVD remained an independent risk factor of in-hospital death or MACE (OR=2.4; (95% CI 1.6 to 3.5)), as did age (OR for a 10-year increase=2.2 (95% CI 1.9 to 2.6)), male gender (OR=1.6 (95% CI 1.1 to 2.3)), chronic obstructive pulmonary disease (OR=2.1 (95% CI 1.0 to 4.2)) and lung infiltration associated with COVID-19 at CT scan (OR=1.9 (95% CI 1.2 to 3.0)). History of CVD (OR=2.9 (95% CI 1.7 to 5)), age (OR=2.5 (95% CI 2.0 to 3.2)), male gender (OR=1.6 (95% CI 0.98 to 2.6)) and elevated C reactive protein (CRP) levels on admission (OR for a 10 mg/L increase=1.1 (95% CI 1.1 to 1.2)) were independent risk factors for mortality.ConclusionHistory of CVD is associated with higher in-hospital mortality and MACE in hospitalised patients with COVID-19. Other factors associated with higher in-hospital mortality are older age, male sex and elevated CRP on admission.

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Routine use of immunosuppressants is associated with mortality in hospitalised patients with COVID-19

Therapeutic Advances in Drug Safety ◽

10.1177/2042098620985690 ◽

2021 ◽

Vol 12 ◽

pp. 204209862098569

Author(s):

Phyo K. Myint ◽

Ben Carter ◽

Fenella Barlow-Pay ◽

Roxanna Short ◽

Alice G. Einarsson ◽

...

Keyword(s):

Medical Attention ◽

Close Monitoring ◽

Plain Language ◽

Discharge Data ◽

Specific Patient ◽

Risk Of Death ◽

Hospitalised Patients ◽

Increased Risk ◽

The Uk ◽

The Impact

Background: Whilst there is literature on the impact of SARS viruses in the severely immunosuppressed, less is known about the link between routine immunosuppressant use and outcome in COVID-19. Consequently, guidelines on their use vary depending on specific patient populations. Methods: The study population was drawn from the COPE Study (COVID-19 in Older People), a multicentre observational cohort study, across the UK and Italy. Data were collected between 27 February and 28 April 2020 by trained data-collectors and included all unselected consecutive admissions with COVID-19. Load (name/number of medications) and dosage of immunosuppressant were collected along with other covariate data. Primary outcome was time-to-mortality from the date of admission (or) date of diagnosis, if diagnosis was five or more days after admission. Secondary outcomes were Day-14 mortality and time-to-discharge. Data were analysed with mixed-effects, Cox proportional hazards and logistic regression models using non-users of immunosuppressants as the reference group. Results: In total 1184 patients were eligible for inclusion. The median (IQR) age was 74 (62–83), 676 (57%) were male, and 299 (25.3%) died in hospital (total person follow-up 15,540 days). Most patients exhibited at least one comorbidity, and 113 (~10%) were on immunosuppressants. Any immunosuppressant use was associated with increased mortality: aHR 1.87, 95% CI: 1.30, 2.69 (time to mortality) and aOR 1.71, 95% CI: 1.01–2.88 (14-day mortality). There also appeared to be a dose–response relationship. Conclusion: Despite possible indication bias, until further evidence emerges we recommend adhering to public health measures, a low threshold to seek medical advice and close monitoring of symptoms in those who take immunosuppressants routinely regardless of their indication. However, it should be noted that the inability to control for the underlying condition requiring immunosuppressants is a major limitation, and hence caution should be exercised in interpretation of the results. Plain Language Summary Regular Use of Immune Suppressing Drugs is Associated with Increased Risk of Death in Hospitalised Patients with COVID-19 Background: We do not have much information on how the COVID-19 virus affects patients who use immunosuppressants, drugs which inhibit or reduce the activity of the immune system. There are various conflicting views on whether immune-suppressing drugs are beneficial or detrimental in patients with the disease. Methods: This study collected data from 10 hospitals in the UK and one in Italy between February and April 2020 in order to identify any association between the regular use of immunosuppressant medicines and survival in patients who were admitted to hospital with COVID-19. Results: 1184 patients were included in the study, and 10% of them were using immunosuppressants. Any immunosuppressant use was associated with increased risk of death, and the risk appeared to increase if the dose of the medicine was higher. Conclusion: We therefore recommend that patients who take immunosuppressant medicines routinely should carefully adhere to social distancing measures, and seek medical attention early during the COVID-19 pandemic.

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Factors associated with COVID-19 related hospitalisation, critical care admission and mortality using linked primary and secondary care data

10.1101/2021.01.19.20241844 ◽

2021 ◽

Author(s):

Lisa Cummins ◽

Irene Ebyarimpa ◽

Nathan Cheetham ◽

Victoria Tzortziou Brown ◽

Katie Brennan ◽

...

Keyword(s):

Risk Factors ◽

Learning Disabilities ◽

Secondary Care ◽

Multivariate Logistic Regression Analysis ◽

Additional Patient ◽

Factors Associated ◽

Icu Admission ◽

Risk Of Death ◽

North East ◽

Increased Risk

AbstractBackgroundTo identify risk factors associated with increased risk of hospitalisation, intensive care unit (ICU) admission and mortality in inner North East London (NEL) during the first UK COVID-19 wave.MethodsMultivariate logistic regression analysis on linked primary and secondary care data from people aged 16 or older with confirmed COVID-19 infection between 01/02/2020-30/06/2020 determined odds ratios (OR), 95% confidence intervals (CI) and p-values for the association between demographic, deprivation and clinical factors with COVID-19 hospitalisation, ICU admission and mortality.ResultsOver the study period 1,781 people were diagnosed with COVID-19, of whom 1,195 (67%) were hospitalised, 152 (9%) admitted to ICU and 400 (23%) died. Results confirm previously identified risk factors: being male, or of Black or Asian ethnicity, or aged over 50. Obesity, type 2 diabetes and chronic kidney disease (CKD) increased the risk of hospitalisation. Obesity increased the risk of being admitted to ICU. Underlying CKD, stroke and dementia in-creased the risk of death. Having learning disabilities was strongly associated with increased risk of death (OR=4.75, 95%CI=(1.91,11.84), p=0.001). Having three or four co-morbidities increased the risk of hospitalisation (OR=2.34,95%CI=(1.55,3.54),p<0.001;OR=2.40, 95%CI=(1.55,3.73), p<0.001 respectively) and death (OR=2.61, 95%CI=(1.59,4.28), p<0.001;OR=4.07, 95% CI= (2.48,6.69), p<0.001 respectively).ConclusionsWe confirm that age, sex, ethnicity, obesity, CKD and diabetes are important determinants of risk of COVID-19 hospitalisation or death. For the first time, we also identify people with learning disabilities and multi-morbidity as additional patient cohorts that need to be actively protected during COVID-19 waves.

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Risk factors associated with the severity of COVID-19 in a region of the Brazilian Amazon

Scientific Reports ◽

10.1038/s41598-021-00009-y ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Daniele Melo Sardinha ◽

Rosane do Socorro Pompeu de Loiola ◽

Ana Lúcia da Silva Ferreira ◽

Carmem Aliandra Freire de Sá ◽

Yan Corrêa Rodrigues ◽

...

Keyword(s):

Risk Factors ◽

Brazilian Amazon ◽

The State ◽

Metropolitan Region ◽

Epidemiological Surveillance ◽

Cross Sectional ◽

Factors Associated ◽

Risk Of Death ◽

Increased Risk ◽

Brazilian Amazon Region

AbstractThe Brazilian Northern region registered a high incidence of COVID-19 cases, particularly in the state of Pará. The present study investigated the risk factors associated with the severity of COVID-19 in a Brazilian Amazon region of 100,819 cases. An epidemiological, cross-sectional, analytical and demographic study, analyzing data on confirmed cases for COVID-19 available at the Brazilian Ministry of Health's surveillance platform, was conducted. Variables such as, municipalities of residence, age, gender, signs and symptoms, comorbidities were included and associated with COVID-19 cases and outcomes. The spatial distribution was performed using the ArcGIS program. A total of 100,819 cases were evaluated. Overall, patients had the mean age of 42.3 years, were female (51.2%) and with lethality reaching 4.79% of cases. Main symptoms included fever (66.5%), cough (61.9%) and sore throat (39.8%). Regarding comorbidities, most of the patients presented cardiovascular disease (5.1%) and diabetes (4.2%). Neurological disease increased risk of death by nearly 15 times, followed by obesity (5.16 times) and immunodeficiency (5.09 time). The municipalities with the highest incidence rate were Parauapebas, Canaã dos Carajás and Jacareacanga. Similarity between the Lower Amazon, Marajó and Southwest mesoregions of Pará state were observed concerning the highest morbidity rates. The obtained data demonstrated that the majority of cases occurred among young adults, females, with the classic influenza symptoms and chronic diseases. Finally, data suggest that the highest incidences were no longer in the metropolitan region of the state. The higher lethality rate than in Brazil may be associated with the greater impacts of the disease in this Amazonian population, or factors associated with fragile epidemiological surveillance in the notification of cases of cure.

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