scholarly journals Sociodemographic risk factors for COVID-19 infection among Massachusetts healthcare workers: a retrospective cohort study

2021 ◽  
pp. 1-23
Author(s):  
Fan-Yun Lan ◽  
Robert Filler ◽  
Soni Mathew ◽  
Jane Buley ◽  
Eirini Iliaki ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Healthcare System ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Healthcare Workers ◽  
Occupational Risk Factors ◽  
Frontline Workers ◽  
Factors Associated ◽  
Occupational Risks

Abstract Objective: To better understand COVID-19 transmission among healthcare workers (HCW), we investigated occupational and non-occupational risk factors associated with cumulative COVID-19 incidence among a Massachusetts HCW cohort. Design, setting, and participants: The retrospective cohort study included adult HCWs in a single healthcare system from March 9 to June 3, 2020. Methods: Participants’ SARS-CoV-2 nasopharyngeal RT-PCR results and demographics were de-identified and extracted from an established occupational health, COVID-19 database at the healthcare system. HCWs from each particular job grouping had been categorized into frontline/non-frontline workers. Incidence rate ratio (IRR) and odds ratio were used to compare subgroups after excluding HCWs involved in early infection clusters before universal masking. A sensitivity analysis was performed comparing jobs with the greatest potential occupational risks with others. Results: 152 out of 5177 (2.94%) HCWs were diagnosed with COVID-19. Affected HCWs resided in areas with higher community attack rates (median: 1755.2 vs. 1412.4 cases per 100,000, P<0.001)(multivariate-adjusted IRR: 1.89, 95%CI: 1.03–3.44 comparing 5th to 1st quintile of community rates). After multivariate adjustment, African Americans and Hispanics had higher incidence than non-Hispanic white HCWs (IRR: 2.78, 95%CI: 1.78–4.33; and IRR: 2.41, 95%CI: 1.42–4.07, respectively). After adjusting for race and residential rates, frontline HCWs had a higher IRR (1.73, 95%CI: 1.16–2.54) compared to non-frontline HCWs overall, but not within specific job categories, nor when comparing the highest risk jobs to others. Conclusions: After universal masking was instituted, the strongest risk factors associated with HCWs’ COVID-19 infection were residential community infection rate and race.

scholarly journals Characteristics, outcomes and risk factors for mortality of 522 167 patients hospitalised with COVID-19 in Brazil: a retrospective cohort study

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e049089
Author(s):  
Marcia C Castro ◽  
Susie Gurzenda ◽  
Eduardo Marques Macário ◽  
Giovanny Vinícius A França
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Cox Proportional Hazards ◽  
Secondary Outcome ◽  
Hospital Death ◽  
Factors Associated ◽  
Icu Admission ◽  
Hospitalised Patients

ObjectiveTo provide a comprehensive description of demographic, clinical and radiographic characteristics; treatment and case outcomes; and risk factors associated with in-hospital death of patients hospitalised with COVID-19 in Brazil.DesignRetrospective cohort study of hospitalised patients diagnosed with COVID-19.SettingData from all hospitals across Brazil.Participants522 167 hospitalised patients in Brazil by 14 December 2020 with severe acute respiratory illness, and a confirmed diagnosis for COVID-19.Primary and secondary outcome measuresPrevalence of symptoms and comorbidities was compared by clinical outcomes and intensive care unit (ICU) admission status. Survival was assessed using Kaplan Meier survival estimates. Risk factors associated with in-hospital death were evaluated with multivariable Cox proportional hazards regression.ResultsOf the 522 167 patients included in this study, 56.7% were discharged, 0.002% died of other causes, 30.7% died of causes associated with COVID-19 and 10.2% remained hospitalised. The median age of patients was 61 years (IQR, 47–73), and of non-survivors 71 years (IQR, 60–80); 292 570 patients (56.0%) were men. At least one comorbidity was present in 64.5% of patients and in 76.8% of non-survivors. From illness onset, the median times to hospital and ICU admission were 6 days (IQR, 3–9) and 7 days (IQR, 3–10), respectively; 15 days (IQR, 9–24) to death and 15 days (IQR, 11–20) to hospital discharge. Risk factors for in-hospital death included old age, Black/Brown ethnoracial self-classification, ICU admission, being male, living in the North and Northeast regions and various comorbidities. Age had the highest HRs of 5.51 (95% CI: 4.91 to 6.18) for patients≥80, compared with those ≤20.ConclusionsCharacteristics of patients and risk factors for in-hospital mortality highlight inequities of COVID-19 outcomes in Brazil. As the pandemic continues to unfold, targeted policies that address those inequities are needed to mitigate the unequal burden of COVID-19.

Risk factors associated with pseudoaldosteronism in patients with chronic hepatitis: A retrospective cohort study

2018 ◽  
Vol 124 (5) ◽  
pp. 607-614 ◽  
Author(s):  
Akihiro Komatsu ◽  
Tetsuhiro Yoshino ◽  
Takeshi Suzuki ◽  
Tomonori Nakamura ◽  
Takanori Kanai ◽  
...  
Keyword(s):  
Risk Factors ◽  
Chronic Hepatitis ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Hepatitis A ◽  
Factors Associated

scholarly journals Epidemiology of extended spectrum β-lactamase producing Enterobacter bacteremia in a brazilian hospital

2010 ◽  
Vol 43 (4) ◽  
pp. 452-454 ◽  
Author(s):  
Felipe Francisco Tuon ◽  
Leila Carolina Bianchet ◽  
Sergio Ricardo Penteado-Filho
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Urinary Catheter ◽  
Elective Surgery ◽  
Survival Curve ◽  
Factors Associated ◽  
Extended Spectrum ◽  
Length Of Hospitalization

INTRODUCTION: Enterobacter can be included in the group of extended spectrum β-lactamases (EBSL)-producing bacteria, though few studies exist evaluating risk factors associated with this microorganism. A retrospective cohort study was conducted to determine risk factors associated with ESBL-producing-Enterobacter and mortality METHODS: A retrospective cohort study with 58 bacteremia caused by ESBL-producing-Enterobacter (28 cases) and non-ESBL (30 cases) RESULTS: Risk factors associated with ESBL-Enterobacter were trauma, length of hospitalization, admission to the intensive care unit, urinary catheter and elective surgery (p< 0.05). The survival curves were similar for ESBL and non-ESBL CONCLUSIONS: ESBL-producing-Enterobacter bacteremia is prevalent and the survival curve was similar to non-ESBL-producing strains.

scholarly journals Predictors of SARS-CoV-2 infection in a multi-ethnic cohort of United Kingdom healthcare workers: a prospective nationwide cohort study (UK-REACH)

2021 ◽  
Author(s):  
Christopher A Martin ◽  
Daniel Pan ◽  
Carl Melbourne ◽  
Lucy Teece ◽  
Avinash Aujayeb ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
United Kingdom ◽  
Ethnic Minority ◽  
Healthcare Workers ◽  
Occupational Risk ◽  
Hospital Inpatient ◽  
Occupational Risk Factors ◽  
Occupational Factors ◽  
Factors Associated

Introduction Healthcare workers (HCWs), particularly those from ethnic minority groups, have been shown to be at disproportionately higher risk of infection with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) compared to the general population. However, there is insufficient evidence on how demographic and occupational factors influence infection risk among ethnic minority HCWs. Methods We analysed data from the United Kingdom Research study into Ethnicity And COVID-19 Outcomes in Healthcare workers (UK-REACH) cohort study. We used logistic regression to examine associations of demographic, household and occupational predictor variables with SARS-CoV-2 infection (defined by PCR, serology or suspected COVID-19) in a diverse group of HCWs. Results 2,496 of the 10,772 HCWs (23.2%) who worked during the first UK national lockdown in March 2020 reported previous SARS-CoV-2 infection. In an adjusted model, demographic and household factors associated with increased odds of infection included younger age, living with other key workers and higher religiosity. Important occupational risk factors associated with increased odds of infection included attending to a higher number of COVID-19 positive patients (aOR 2.49, 95%CI 2.03—3.05 for ≥21 patients per week vs none), working in a nursing or midwifery role (1.35, 1.15—1.58, compared to doctors), reporting a lack of access to personal protective equipment (1.27, 1.15 — 1.41) and working in an ambulance (1.95, 1.52—2.50) or hospital inpatient setting (1.54, 1.37 — 1.74). Those who worked in Intensive Care Units were less likely to have been infected (0.76, 0.63—0.90) than those who did not. Black HCWs were more likely to have been infected than their White colleagues, an effect which attenuated after adjustment for other known predictors. Conclusions We identified key sociodemographic and occupational risk factors associated with SARS-CoV-2 infection amongst UK HCWs, and have determined factors that might contribute to a disproportionate odds of infection in HCWs from Black ethnic groups. These findings demonstrate the importance of social and occupational factors in driving ethnic disparities in COVID-19 outcomes, and should inform policies, including targeted vaccination strategies and risk assessments aimed at protecting HCWs in future waves of the COVID-19 pandemic. Trial registration: ISRCTN 11811602

scholarly journals Correction: Cazzoletti et al. Risk Factors Associated with Nursing Home COVID-19 Outbreaks: A Retrospective Cohort Study. Int. J. Environ. Res. Public Health 2021, 18, 8434

2021 ◽  
Vol 18 (24) ◽  
pp. 13175
Author(s):  
Lucia Cazzoletti ◽  
Maria Elisabetta Zanolin ◽  
Ilaria Tocco Tussardi ◽  
Mulubirhan Assefa Alemayohu ◽  
Ernesto Zanetel ◽  
...  
Keyword(s):  
Public Health ◽  
Risk Factors ◽  
Cohort Study ◽  
Nursing Home ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Factors Associated

The authors would like to make the following corrections to this paper [...]

scholarly journals Risk factors associated with morbidity and mortality outcomes of COVID-19 patients on the 28th day of the disease course: a retrospective cohort study in Bangladesh

2020 ◽  
Vol 148 ◽  
Author(s):  
M. Z. Islam ◽  
B. K. Riaz ◽  
A. N. M. S. Islam ◽  
F. Khanam ◽  
J. Akhter ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Mortality Risk ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Morbidity And Mortality ◽  
Morbidity Rate ◽  
Disease Course ◽  
Factors Associated ◽  
Morbidity Risk

Abstract Diverse risk factors intercede the outcomes of coronavirus disease 2019 (COVID-19). We conducted this retrospective cohort study with a cohort of 1016 COVID-19 patients diagnosed in May 2020 to identify the risk factors associated with morbidity and mortality outcomes. Data were collected by telephone-interview and reviewing records using a questionnaire and checklist. The study identified morbidity and mortality risk factors on the 28th day of the disease course. The majority of the patients were male (64.1%) and belonged to the age group 25–39 years (39.4%). Urban patients were higher in proportion than rural (69.3% vs. 30.7%). Major comorbidities included 35.0% diabetes mellitus (DM), 28.4% hypertension (HTN), 16.6% chronic obstructive pulmonary disease (COPD), and 7.8% coronary heart disease (CHD). The morbidity rate (not-cured) was 6.0%, and the mortality rate (non-survivor) was 2.5%. Morbidity risk factors included elderly (AOR = 2.56, 95% CI = 1.31–4.99), having comorbidity (AOR = 1.43, 95% CI = 0.83–2.47), and smokeless tobacco use (AOR = 2.17, 95% CI = 0.84–5.61). The morbidity risk was higher with COPD (RR = 2.68), chronic kidney disease (CKD) (RR = 3.33) and chronic liver disease (CLD) (RR = 3.99). Mortality risk factors included elderly (AOR = 7.56, 95% CI = 3.19–17.92), having comorbidity (AOR = 5.27, 95% CI = 1.88–14.79) and SLT use (AOR = 1.93, 95% CI = 0.50–7.46). The mortality risk was higher with COPD (RR = 7.30), DM (RR = 2.63), CHD (RR = 4.65), HTN (RR = 3.38), CKD (RR = 9.03), CLD (RR = 10.52) and malignant diseases (RR = 9.73). We must espouse programme interventions considering the morbidity and mortality risk factors to condense the aggressive outcomes of COVID-19.

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