Dataset Information

Characteristics and outcomes of patients with COVID-19 admitted to the ICU in a university hospital in Sao Paulo, Brazil - study protocol.

ABSTRACT: OBJECTIVES:We designed a cohort study to describe characteristics and outcomes of patients with coronavirus disease (COVID-19) admitted to the intensive care unit (ICU) in the largest public hospital in Sao Paulo, Brazil, as Latin America becomes the epicenter of the pandemic. METHODS:This is the protocol for a study being conducted at an academic hospital in Brazil with 300 adult ICU beds dedicated to COVID-19 patients. We will include adult patients admitted to the ICU with suspected or confirmed COVID-19 during the study period. The main outcome is ICU survival at 28 days. Data will be collected prospectively and retrospectively by trained investigators from the hospital's electronic medical records, using an electronic data capture tool. We will collect data on demographics, comorbidities, severity of disease, and laboratorial test results at admission. Information on the need for advanced life support and ventilator parameters will be collected during ICU stay. Patients will be followed up for 28 days in the ICU and 60 days in the hospital. We will plot Kaplan-Meier curves to estimate ICU and hospital survival and perform survival analysis using the Cox proportional hazards model to identify the main risk factors for mortality. ClinicalTrials.gov: NCT04378582. RESULTS:We expect to include a large sample of patients with COVID-19 admitted to the ICU and to be able to provide data on admission characteristics, use of advanced life support, ICU survival at 28 days, and hospital survival at 60 days. CONCLUSIONS:This study will provide epidemiological data about critically ill patients with COVID-19 in Brazil, which could inform health policy and resource allocation in low- and middle-income countries.

SUBMITTER: Ferreira JC

PROVIDER: S-EPMC7442378 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Characteristics and outcomes of patients with COVID-19 admitted to the ICU in a university hospital in São Paulo, Brazil - study protocol.

Ferreira Juliana C JC Ho Yeh-Li YL Besen Bruno A M P BAMP Malbuisson Luiz M S LMS Taniguchi Leandro U LU Mendes Pedro V PV Costa Eduardo L V ELV Park Marcelo M Daltro-Oliveira Renato R Roepke Roberta M L RML Silva João M JM Carmona Maria José C MJC Carvalho Carlos Roberto Ribeiro CRR Hirota Adriana A Kanasiro Alberto Kendy AK Crescenzi Alessandra A Fernandes Amanda Coelho AC Miethke-Morais Anna A Bellintani Arthur Petrillo AP Canasiro Artur Ribeiro AR Carneiro Bárbara Vieira BV Zanbon Beatriz Keiko BK Batista Bernardo Pinheiro De Senna Nogueira BPSN Nicolao Bianca Ruiz BR Besen Bruno Adler Maccagnan Pinheiro BAMP Biselli Bruno B Macedo Bruno Rocha De BR Toledo Caio Machado Gomes De CMG Pompilio Carlos Eduardo CE Carvalho Carlos Roberto Ribeiro De CRR Mol Caroline Gomes CG Stipanich Cassio C Bueno Caue Gasparotto CG Garzillo Cibele C Tanaka Clarice C Forte Daniel Neves DN Joelsons Daniel D Robira Daniele D Costa Eduardo Leite Vieira ELV Silva Elson Mendes Da EM Regalio Fabiane Aliotti FA Segura Gabriela Cardoso GC Marcelino Gustavo Brasil GB Louro Giulia Sefrin GS Ho Yeh-Li YL Ferreira Isabela Argollo IA Gois Jeison de Oliveira JO Silva Joao Manoel Da JM Reusing Jose Otto JO Ribeiro Julia Fray JF Ferreira Juliana Carvalho JC Galleti Karine Vusberg KV Silva Katia Regina KR Isensee Larissa Padrao LP Oliveira Larissa dos Santos LS Taniguchi Leandro Utino LU Letaif Leila Suemi LS Lima Lígia Trombetta LT Park Lucas Yongsoo LY Chaves Lucas L Nobrega Luciana Cassimiro LC Haddad Luciana L Hajjar Ludhmila L Malbouisson Luiz Marcelo LM Pandolfi Manuela Cristina Adsuara MCA Park Marcelo M Carmona Maria José Carvalho MJC Andrade Maria Castilho Prandini H De MCPH Santos Mariana Moreira MM Bateloche Matheus Pereira MP Suiama Mayra Akimi MA Oliveira Mayron Faria de MF Sousa Mayson Laercio ML Louvaes Michelle M Huemer Natassja N Mendes Pedro P Lins Paulo Ricardo Gessolo PRG Santos Pedro Gaspar Dos PG Moreira Pedro Ferreira Paiva PFP Guazzelli Renata Mello RM Reis Renato Batista Dos RB Oliveira Renato Daltro De RD Roepke Roberta Muriel Longo RML Pedro Rodolpho Augusto De Moura RAM Kondo Rodrigo R Rached Samia Zahi SZ Fonseca Sergio Roberto Silveira Da SRS Borges Thais Sousa TS Ferreira Thalissa T Cobello Vilson V Sales Vivian Vieira Tenório VVT Ferreira Willaby Serafim Cassa WSC

Clinics (Sao Paulo, Brazil) 20200826

<h4>Objectives</h4>We designed a cohort study to describe characteristics and outcomes of patients with coronavirus disease (COVID-19) admitted to the intensive care unit (ICU) in the largest public hospital in Sao Paulo, Brazil, as Latin America becomes the epicenter of the pandemic.<h4>Methods</h4>This is the protocol for a study being conducted at an academic hospital in Brazil with 300 adult ICU beds dedicated to COVID-19 patients. We will include adult patients admitted to the ICU with susp ...[more]

PMID: 32876113

Similar Datasets

Project description:BackgroundBrazil became the epicenter of the COVID-19 pandemic in Latin America since May 2020, reporting the highest number of cases and deaths in the region. Healthcare workers (HCWs) are at increased risk of SARS-CoV-2 infection, experiencing a significant burden from COVID-19. Identifying and understanding the clinical characteristics and risk factors associated with infection are of paramount importance to inform screening strategies and infection control practices in this scenario. The aims of this study were to investigate the prevalence and clinical characteristics of HCWs with COVID-19 symptoms.MethodsBetween March 21st and May 22nd, 2020 a cross-sectional study was performed in a tertiary university hospital in São Paulo. Prevalence of SARS-CoV-2 infection among HCWs with COVID-19 symptoms was determined by RT-PCR testing on nasopharyngeal and oropharyngeal samples. Participants were asked to complete an electronic structured questionnaire including clinical and demographic data.ResultsOverall, 125 (42.37%) of 295 symptomatic HCWs tested positive for SARS-CoV-2. Over the 10-week study period, positivity rates varied from 22.2% (95% CI 15.9-60.3%) in the second week to 55.9% (95% CI 43.2-68.6%) in the sixth week, reaching a plateau (38-46%) thereafter. Median (SD) age was 34.2 (9.9) years and 205 (69.5%) were female. We did not find significant differences in the prevalence of the most commonly reported underlying medical condition among healthcare workers that tested positive or negative for SARS-CoV-2 infection. After multivariable analysis, using logistic regression, anosmia (adjusted OR 4.4 95% CI 2.21-8.74) and ocular pain (adjusted OR 1.95 95% CI 1.14-3.33) were the only symptoms independently associated with positivity for SARS-CoV-2 infection. Follow-up information on clinical outcomes showed that 9 (7.2%) HCWs were hospitalized (seven were male) and 2 (1.6%) died.ConclusionsThe findings of this study confirmed the high burden of SARS-CoV-2 infection among healthcare workers in the hardest hit city by the pandemic in Latin America. Anosmia and ocular pain were symptoms independently associated with COVID-19 diagnosis. In low and middle-income countries, where limited availability of tests is frequent, these findings may contribute to optimize a targeted symptom-oriented screening strategy.

Project description:ImportancePrognostication following ICU admission can often be determined based on known risk factors, including demographics and illness severity; however, little is known about outcomes of patients deemed to be "low-risk" at the time of hospital admission who subsequently are admitted to the ICU.ObjectivesThe objectives of this study were to determine the characteristics, outcomes, and costs for patients requiring ICU admission despite having lower predicted mortality when they were admitted to the hospital.Design setting and participantsIn this historical cohort study, we used a prospectively maintained ICU registry that included all ICU admissions to The Ottawa Hospital for patients 18 years or older from January 2011 to December 2016. We classified patients as low-risk using the Hospital-patient 1-year Mortality Risk at admission score, a hospital admission score validated to predict 1-year mortality.Main outcomes and measuresThe primary outcome was inhospital mortality. Secondary outcomes included adverse events, resource utilization, and costs.ResultsOf the 17,173 total ICU patients, 3,445 (20.1%) were classified as low-risk at hospital admission. Low-risk patients were younger (48.7 vs 67.5 yr; p < 0.001) and had a lower Multiple Organ Dysfunction Score (2.37 vs 4.14; p < 0.001). Mortality for low-risk patients was significantly lower than for non-low-risk patients (4.1% vs 25.4%; p < 0.001). For low-risk patients, multivariable logistic regression showed mortality was independently associated with older age (odds ratio, 1.02 per 1 yr; 95% CI, 1.00-1.03 per 1 yr), Multiple Organ Dysfunction Score (odds ratio, 1.42 per 1 point; 95% CI, 1.31-1.54 per 1 point), fluid management adverse events (odds ratio, 2.84; 95% CI, 1.29-6.25), hospital-acquired infections (odds ratio, 1.60; 95% CI, 1.02-2.51), and mechanical ventilation (odds ratio, 1.98; 95% CI, 1.20-3.26).Conclusions and relevanceDespite their robust premorbid status, low-risk patients admitted to the ICU had significant inhospital mortality. Fluid management adverse events, hospital-associated infections, multiple organ dysfunction, and mechanical ventilation are important prognostic factors for low-risk patients.

Project description:To estimate the prevalence of one month psychotropic drug use in São Paulo, Brazil, and to assess the gap treatment between the presence of mental disorders and psychotropic drug users.A probabilistic sample of non-institutionalized individuals from the general population of São Paulo (n = 2336; turnout: 84.5%) who were 15 years or older were interviewed by a trained research staff, applying the Composite International Diagnostic Interview 2.1 (CIDI WHO) (depression, anxiety-phobia, OCD\PTSD, alcoholism sections), and an inventory investigating psychotropic drug use during the 12-month and one-month periods immediately preceding the interview. Logistic models were fitted to investigate associations between psychotropic drug use as well as socio-demographic and clinical variables.The one month prevalence of psychotropic drug use in São Paulo was 5.89%, the most commonly used drugs were antidepressants (3.15%) and tranquilizers (2.67%). A higher consumption of psychotropic drugs (overall, antidepressants and tranquilizers) was observed among women (OR:2.42), older individuals (OR:1.04), individuals with higher levels of formal education (1.06), and individuals with a family (OR:2.29) or personal history of mental illness (OR:3.27). The main psychotropic drug prescribers were psychiatrists (41%), followed by general practitioners (30%); 60% of psychotropic drugs were obtained through a government-run dispensing program. Most individuals who obtained a positive diagnosis on the CIDI 2.1 during the previous month were not using psychotropic medication (85%). Among individuals with a diagnosis of moderate to severe depression, 67.5% were not on any pharmacological treatment.There is a change in the type of psychotropic more often used in São Paulo, from benzodiazepines to antidepressants, this event is observed in different cultures. The prevalence of use is similar to other developing countries. Most of the patients presenting a psychiatric illness in the month prior to testing were not receiving any sort of psychiatric medication. This may be explained by a failure to identify cases in primary care, which could be improved (and access to treatment could be facilitated) if professionals received more specialized training in managing cases with mental health problems.

Dataset Information

Characteristics and outcomes of patients with COVID-19 admitted to the ICU in a university hospital in Sao Paulo, Brazil - study protocol.

Publications

Characteristics and outcomes of patients with COVID-19 admitted to the ICU in a university hospital in São Paulo, Brazil - study protocol.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure