ABSTRACT Objective To verify the rate of COVID-19 infection among healthcare personnel at high and low risk of COVID-19 infection and identify the underlying risk factors. Methods This cross-sectional study was conducted between December 1, 2020 and February 28, 2021. Associations were verified between the levels of risk (high or low) of occupational COVID-19 infection and participant characteristics using the World Health Organization risk assessment questionnaire and adjusted using logistic regression models in single and multiple approaches. Results Of the 486 participants, 57.4% were classified as having a high occupational risk for SARS-CoV-2 infection, with a diagnosis rate of 12.1%. The factors identified in the multivariate analysis for high occupational risk were age up to 29 years (odds ratio [OR] = 2.7, 95% confidence interval [95%CI] = 1.63-4.47), monthly family income greater than eight times the basic salary (OR= 1.8, 95%CI= 1.07-3.16), and healthcare personnel who did not participate in initial training to work in the area of patients with COVID-19 infection (OR= 2.39, 95%CI= 1.53-3.75). Conclusion Encouraging training for occupational infection prevention is very important to reduce the impact of infectious diseases on healthcare personnel, especially young health professionals. COVID19 COVID 19 COVID-1 crosssectional cross sectional 1 202 28 2021 approaches 48 participants 574 57 4 57.4 SARSCoV2 SARSCoV SARS CoV 2 SARS-CoV- 121 12 12.1% odds OR [OR 27 7 2.7 95 95%CI 95CI CI [95%CI 1.634.47, 163447 1.63 4.47 , 63 47 1.63-4.47) OR= (OR 18 8 1.8 1.073.16, 107316 1.07 3.16 07 3 16 1.07-3.16) 239 39 2.39 1.533.75. 153375 1.53 3.75 . 53 75 1.53-3.75) professionals COVID1 COVID- 20 5 57. SARS-CoV 12.1 2. 9 634 1.634.47 16344 163 1.6 447 4.4 6 1.63-4.47 1. 073 1.073.16 10731 107 1.0 316 3.1 0 1.07-3.16 23 2.3 533 1.533.75 15337 153 1.5 375 3.7 1.53-3.75 12. 1.634.4 1634 44 4. 1.63-4.4 1.073.1 1073 10 31 3. 1.07-3.1 1.533.7 1533 15 37 1.53-3.7 1.634. 1.63-4. 1.073. 1.07-3. 1.533. 1.53-3. 1.634 1.63-4 1.073 1.07-3 1.533 1.53-3 1.63- 1.07- 1.53-

ABSTRACT Objective: To evaluate the risk factors for healthcare-related infections during the COVID-19 pandemic in intensive care units, to investigate the impact of COVID-19 on Central Line-Associated Bloodstream Infection, Catheter-Associated Urinary Tract Infection, and ventilator-associated pneumonia, and to describe healthcare-associated infections in the waves of the COVID-19 pandemic. Methods: This nested case-control study was conducted in a 137-bed adult medical/surgical intensive care unit at a private hospital in São Paulo, Brazil, between January 11, 2019, and May 21, 2022. Case patients were identified using the Nosocomial Infection Control Committee database and control patients were identified using the intensive care unit's EPIMED system. For the analysis of risk factors, the chi-square test, multiple logistic regression model, and Kaplan-Meier method were used to identify independent risk factors, considering p<0.05. Results: The Case Group consisted of 189 healthcare-associated infections, including ventilator-associated pneumonia (61.4%), Central Line-Associated Bloodstream Infection (30.1%), Catheter-Associated Urinary Tract Infection (8.5%), and the Control Group consisted of 6,834 patients. The independent risk factors were COVID-19 infection (OR=2.84, 95%CI=1.92–4.23, p<0.01), length of stay in intensive care greater than 14 days (OR=3.15, 95%CI=1.95–5.14, p<0.01), length of hospital stay greater than 30 days (OR=3.64, 95%CI=2.44–5.51, p<0.01), and patients who were in the third wave (OR=1.72, 95%CI=1.05–2.91, p=0.04). Ventilator-associated pneumonia was the only healthcare-related infection for which COVID-19 infection was an independent risk factor (OR=3.32, 95%CI=1.92–5.94, p<0.01). Conclusion: COVID-19 and length of hospital stay were independent risk factors for healthcare-associated infections, and only ventilator-associated pneumonia was affected by the COVID-19 pandemic. Objective healthcarerelated healthcare related COVID19 COVID 19 COVID-1 units LineAssociated Line Associated CatheterAssociated Catheter ventilatorassociated ventilator associated healthcareassociated Methods casecontrol case 137bed bed 137 medicalsurgical medical surgical Paulo Brazil 11 2019 21 2022 s system chisquare chi square test model KaplanMeier Kaplan Meier p005 p 0 05 p<0.05 Results 18 61.4%, 614 61.4% , 61 4 (61.4%) 30.1%, 301 30.1% 1 (30.1%) 8.5%, 85 8.5% 8 5 (8.5%) 6834 6 834 6,83 OR=2.84, OR284 OR 2 84 (OR=2.84 95CI192423 CI 95 92 23 95%CI=1.92–4.23 p<0.01, p001 p<0.01 01 p<0.01) OR=3.15, OR315 3 15 (OR=3.15 95CI195514 95%CI=1.95–5.14 OR=3.64, OR364 64 (OR=3.64 95CI244551 44 51 95%CI=2.44–5.51 OR=1.72, OR172 72 (OR=1.72 95CI105291 91 95%CI=1.05–2.91 p=0.04. p004 p=0.04 . 04 p=0.04) Ventilatorassociated Ventilator OR=3.32, OR332 32 (OR=3.32 95CI192594 94 95%CI=1.92–5.94 p<0.01. Conclusion COVID1 COVID- 13 201 202 p00 p<0.0 61.4 (61.4% 30.1 (30.1% 8.5 (8.5% 683 83 6,8 OR=2.84 OR28 (OR=2.8 95CI19242 9 95%CI=1.92–4.2 OR=3.15 OR31 (OR=3.1 95CI19551 95%CI=1.95–5.1 OR=3.64 OR36 (OR=3.6 95CI24455 95%CI=2.44–5.5 OR=1.72 OR17 7 (OR=1.7 95CI10529 95%CI=1.05–2.9 p=0.0 OR=3.32 OR33 (OR=3.3 95CI19259 95%CI=1.92–5.9 20 p0 p<0. 61. (61.4 30. (30.1 8. (8.5 68 6, OR=2.8 OR2 (OR=2. 95CI1924 95%CI=1.92–4. OR=3.1 OR3 (OR=3. 95CI1955 95%CI=1.95–5. OR=3.6 95CI2445 95%CI=2.44–5. OR=1.7 OR1 (OR=1. 95CI1052 95%CI=1.05–2. p=0. OR=3.3 95CI1925 95%CI=1.92–5. p<0 (61. (30. (8. OR=2. (OR=2 95CI192 95%CI=1.92–4 OR=3. (OR=3 95CI195 95%CI=1.95–5 95CI244 95%CI=2.44–5 OR=1. (OR=1 95CI105 95%CI=1.05–2 p=0 95%CI=1.92–5 p< (61 (30 (8 OR=2 (OR= 95CI19 95%CI=1.92– OR=3 95%CI=1.95– 95CI24 95%CI=2.44– OR=1 95CI10 95%CI=1.05– p= (6 (3 ( OR= (OR 95CI1 95%CI=1.92 95%CI=1.95 95CI2 95%CI=2.44 95%CI=1.05 95CI 95%CI=1.9 95%CI=2.4 95%CI=1.0 95%CI=1. 95%CI=2. 95%CI=1 95%CI=2 95%CI= 95%CI

ABSTRACT Objective: To describe the 3-year long experience of addressing disruptive events by medical staff in a private hospital. Methods: The cross-sectional study that was conducted between 2020 and 2022, involved collection, analysis, and management of suspected cases of disruptive behavior by medical staff. Results: Relevant information was collected from reports issued by health care leaders (69%), anonymous reports accessed from the health institution's intranet tool "SINAPSE" (19%), the compliance center (5%), customer attendance service (3.7%), the hospital board (2.3%), and the medical practice department (1%). Surgical specialties were responsible for 70.3% of the disruptive incidents, and the average time to outcome was 24.5 days, with most solutions involving guided education of physicians (92.7%). Conclusion: Management of disruptive behavior by medical staff is essential for the prevention of unsafe work environments and strengthening a culture of safety. Objective 3year year 3 Methods crosssectional cross sectional 202 2022 collection analysis Results 69%, 69 69% , (69%) institutions institution s SINAPSE "SINAPSE 19%, 19 19% (19%) 5%, 5 5% (5%) 3.7%, 37 3.7% 7 (3.7%) 2.3%, 23 2.3% 2 (2.3%) 1%. 1 1% . (1%) 703 70 70.3 incidents 245 24 24. days 92.7%. 927 92.7% 92 (92.7%) Conclusion safety 20 6 (69% (19% (5% 3.7 (3.7% 2.3 (2.3% (1% 70. 92.7 9 (92.7% (69 (19 (5 3. (3.7 2. (2.3 (1 92. (92.7 (6 ( (3. (2. (92. (3 (2 (92 (9

ABSTRACT Objective To investigate the prevalence of factors related to healthcare-associated infections, caused by multidrug-resistant bacteria, in a pediatric intensive care unit. Methods A retrospective case-control study conducted from January 1, 2007 to December 31, 2018, in São Paulo (SP), Brazil. The study was carried out at the pediatric intensive care unit of a high-complexity, tertiary care general hospital. The study included patients aged 1 month to 19 years, admitted to the pediatric intensive care unit, diagnosed as healthcare-associated infections. Results There was significant evidence of infection by multidrug-resistant bacteria associated with immunosuppressed patients (p<0.001), in whom the likelihood of multidrug-resistant bacteria infection was estimated to be nine-fold higher than among non-immunosuppressed patients (OR 8.97; 95%CI 2.69-29.94). In the analysis of multiple logistic regression model, we observed that immunosuppressed patients had an 8.5-fold higher chance of multidrug-resistant bacteria infection when compared to non-immunosuppressed patients (OR 8.48; 95%CI 2.54-28.35; p=0.001). There is evidence of association between the Case Group and presence of Gram-positive (p=0.007), coagulase-negative Staphylococcus (p<0.001), and Gram-negative (p=0.041) microorganisms. Conclusion The immunocompromised-state variable is a factor related to healthcare-associated infections caused by multidrug-resistant bacteria, and the Case Group presented higher proportions of Gram-positive microorganisms and coagulase-negative Staphylococcus.

RESUMO Objetivo Descrever as características microbiológicas e avaliar os fatores de risco para mortalidade na traqueobronquite associada à ventilação mecânica em um estudo caso-controle de pacientes de terapia intensiva. Métodos Estudo realizado ao longo de 6 anos em uma unidade de terapia intensiva médico-cirúrgica de 40 leitos, em um hospital privado e de nível terciário em São Paulo, Brasil. O Grupo Caso foi identificado usando o banco de dados da Comissão de Controle de Infecção Hospitalar. O Grupo Controle foi pareado na proporção de 1:8,8 entre janeiro de 2006 e dezembro de 2011. Resultados Quarenta episódios de traqueobronquites associadas à ventilação foram avaliados em 40 pacientes na unidade de terapia intensiva, e 354 pacientes não apresentaram traqueobronquite Grupo Controle. Foram identificados 42 microrganismos (dos quais 5% foram infecções polimicrobianas), sendo que 88,2% de todos os microrganismos eram bactérias Gram-negativas. Usando um modelo de regressão logística, encontramos os seguintes fatores de risco independentes para mortalidade em pacientes com traqueobronquites associadas à ventilação: pontuação da Acute Physiology and Chronic Health Evaluation I (odds ratio 1,18 por uma unidade de pontuação; IC95%: 1,05-1,38; p=0,01) e duração da ventilação mecânica (odds ratio 1,09 por dia de ventilação mecânica; IC95%: 1,03-1,17; p=0,004). Conclusão Nosso estudo forneceu informações sobre os fatores de risco para mortalidade e características microbiológicas da traqueobronquite associada à ventilação mecânica.

ABSTRACT Objective To describe the microbiological characteristics and to assess the risk factors for mortality of ventilator-associated tracheobronchitis in a case-control study of intensive care patients. Methods This case-control study was conducted over a 6-year period in a 40-bed medical-surgical intensive care unit in a tertiary care, private hospital in São Paulo, Brazil. Case patients were identified using the Nosocomial Infection Control Committee database. For the analysis of risk factors, matched control subjects were selected from the same institution at a 1:8.8 ratio, between January 2006 and December 2011. Results A total of 40 episodes of ventilator-associated tracheobronchitis were evaluated in 40 patients in the intensive care unit, and 354 intensive care patients who did not experience tracheobronchitis were included as the Control Group. During the 6-year study period, a total of 42 organisms were identified (polymicrobial infections were 5%) and 88.2% of all the microorganisms identified were Gram-negative. Using a logistic regression model, we found the following independent risk factors for mortality in ventilator-associated tracheobronchitis patients: Acute Physiology and Chronic Health Evaluation I score (odds ratio 1.18 per unit of score; 95%CI: 1.05-1.38; p=0.01), and duration of mechanical ventilation (odds ratio 1.09 per day of mechanical ventilation; 95%CI: 1.03-1.17; p=0.004). Conclusion Our study provided insight into the risk factors for mortality and microbiological characteristics of ventilator-associated tracheobronchitis.

RESUMO Objetivo: Descrever um surto de norovírus ocorrido em uma instituição de longa permanência no Brasil, de 8 a 29 de julho 2005. Métodos: Nas primeiras 48 a 72 horas após o início dos sintomas entre moradores da instituição de longa permanência e funcionários, as principais estratégias de controle da infecção foram: educação da equipe, reforço na higienização das mãos, implementação de precauções de contato até 48 a 72 horas após o término de sintomas, limpeza “terminal” dos quartos dos moradores e afastamento dos funcionários sintomáticos até 48 a 72 horas após o término dos sintomas. As características clínicas e epidemiológicas das infecções por norovírus foram descritas baseadas nos dados dos prontuários. Resultados: A incidência foi 41,3% entre moradores e 16,25% entre funcionários. O principal sintoma foi diarreia, acometendo 100% dos casos; 44% das amostras de fezes foram positivas pela análise RIDASCREEN® Norovirus, com a identificação do norovírus genogrupo II. Setenta por cento dos moradores eram do sexo feminino, com idade de 51 a 98 anos. Os moradores tinham, em média, duas comorbidades, sendo 87,3% com doenças cardiovasculares ou pulmonares e 47,6% com demência. Não houve recidiva do surto ou óbitos. Conclusões: As medidas precoces de prevenção associada à vigilância são estratégias que mantém as instituições de longa permanência livres de infecções por norovírus e protegem aqueles indivíduos mais vulneráveis.

ABSTRACT Objective: To describe a norovirus outbreak in a Brazilian long-term care facility from July 8 to 29, 2005. Methods: In the first 48 to 72 hours after onset of symptoms in inpatients and employees, the main infection control strategies were staff education, emphasis on hand washing, implementing contact precautions up to 48-72 hours after resolution of symptoms, complete cleaning of the rooms and exclusion of symptomatic employees from work until 48-72 hours after resolution of their symptoms. Epidemiological and clinical characteristics of the norovirus infections were described based on chart review. Results: The incidence among inpatients and employees was 41.3% and 16.25%, respectively. The main symptom was diarrhea, affecting 100% of inpatients and employees. Forty-four percent of specimens were positive by RIDASCREEN® Norovirus analyses, and identified as norovirus genogroup GII. Seventy percent of inpatients were women and their age range was 51-98 years. Inpatients had in average two comorbid conditions – 87.3% with cardiovascular or chronic pulmonary condition and 47.6% with dementia. There was not relapse or death. Conclusions: The early infection-control measures associated to surveillance are required to keep long-term care facilities free of noroviruses and to protect those who are most vulnerable.