Background Increased understanding of whether individuals who have recovered from COVID-19 are protected from future SARS-CoV-2 infection is an urgent requirement. We aimed to investigate whether antibodies against SARS-CoV-2 were associated with a decreased risk of symptomatic and asymptomatic reinfection. Methods A large, multicentre, prospective cohort study was done, with participants recruited from publicly funded hospitals in all regions of England. All health-care workers, support staff, and administrative staff working at hospitals who could remain engaged in follow-up for 12 months were eligible to join The SARS-CoV-2 Immunity and Reinfection Evaluation study. Participants were excluded if they had no PCR tests after enrolment, enrolled after Dec 31, 2020, or had insufficient PCR and antibody data for cohort assignment. Participants attended regular SARS-CoV-2 PCR and antibody testing (every 2–4 weeks) and completed questionnaires every 2 weeks on symptoms and exposures. At enrolment, participants were assigned to either the positive cohort (antibody positive, or previous positive PCR or antibody test) or negative cohort (antibody negative, no previous positive PCR or antibody test). The primary outcome was a reinfection in the positive cohort or a primary infection in the negative cohort, determined by PCR tests. Potential reinfections were clinically reviewed and classified according to case definitions (confirmed, probable, or possible) and symptom-status, depending on the hierarchy of evidence. Primary infections in the negative cohort were defined as a first positive PCR test and seroconversions were excluded when not associated with a positive PCR test. A proportional hazards frailty model using a Poisson distribution was used to estimate incidence rate ratios (IRR) to compare infection rates in the two cohorts. Findings From June 18, 2020, to Dec 31, 2020, 30 625 participants were enrolled into the study. 51 participants withdrew from the study, 4913 were excluded, and 25 661 participants (with linked data on antibody and PCR testing) were included in the analysis. Data were extracted from all sources on Feb 5, 2021, and include data up to and including Jan 11, 2021. 155 infections were detected in the baseline positive cohort of 8278 participants, collectively contributing 2 047 113 person-days of follow-up. This compares with 1704 new PCR positive infections in the negative cohort of 17 383 participants, contributing 2 971 436 person-days of follow-up. The incidence density was 7·6 reinfections per 100 000 person-days in the positive cohort, compared with 57·3 primary infections per 100 000 person-days in the negative cohort, between June, 2020, and January, 2021. The adjusted IRR was 0·159 for all reinfections (95% CI 0·13–0·19) compared with PCR-confirmed primary infections. The median interval between primary infection and reinfection was more than 200 days. Interpretation A previous histo...
Background BNT162b2 mRNA and ChAdOx1 nCOV-19 adenoviral vector vaccines have been rapidly rolled out in the UK from December, 2020. We aimed to determine the factors associated with vaccine coverage for both vaccines and documented the vaccine effectiveness of the BNT162b2 mRNA vaccine in a cohort of health-care workers undergoing regular asymptomatic testing. MethodsThe SIREN study is a prospective cohort study among staff (aged ≥18 years) working in publicly-funded hospitals in the UK. Participants were assigned into either the positive cohort (antibody positive or history of infection [indicated by previous positivity of antibody or PCR tests]) or the negative cohort (antibody negative with no previous positive test) at the beginning of the follow-up period. Baseline risk factors were collected at enrolment, symptom status was collected every 2 weeks, and vaccination status was collected through linkage to the National Immunisations Management System and questionnaires. Participants had fortnightly asymptomatic SARS-CoV-2 PCR testing and monthly antibody testing, and all tests (including symptomatic testing) outside SIREN were captured. Data cutoff for this analysis was Feb 5, 2021. The follow-up period was Dec 7, 2020, to Feb 5, 2021. The primary outcomes were vaccinated participants (binary ever vacinated variable; indicated by at least one vaccine dose recorded by at least one of the two vaccination data sources) for the vaccine coverage analysis and SARS-CoV-2 infection confirmed by a PCR test for the vaccine effectiveness analysis. We did a mixed-effect logistic regression analysis to identify factors associated with vaccine coverage. We used a piecewise exponential hazard mixed-effects model (shared frailty-type model) using a Poisson distribution to calculate hazard ratios to compare time-to-infection in unvaccinated and vaccinated participants and estimate the impact of the BNT162b2 vaccine on all PCR-positive infections (asymptomatic and symptomatic). This study is registered with ISRCTN, number ISRCTN11041050, and is ongoing.Findings 23 324 participants from 104 sites (all in England) met the inclusion criteria for this analysis and were enrolled. Included participants had a median age of 46•1 years (IQR 36•0-54•1) and 19 692 (84%) were female; 8203 (35%) were assigned to the positive cohort at the start of the analysis period, and 15 121 (65%) assigned to the negative cohort. Total follow-up time was 2 calendar months and 1 106 905 person-days (396 318 vaccinated and 710 587 unvaccinated). Vaccine coverage was 89% on Feb 5, 2021, 94% of whom had BNT162b2 vaccine. Significantly lower coverage was associated with previous infection, gender, age, ethnicity, job role, and Index of Multiple Deprivation score. During follow-up, there were 977 new infections in the unvaccinated cohort, an incidence density of 14 infections per 10 000 person-days; the vaccinated cohort had 71 new infections 21 days or more after their first dose (incidence density of eight infections per 10 000 person-days) and nine infecti...
Objectives To identify the early mortality predictors in minority patients hospitalized with coronavirus disease 2019 . Design Demographics, presenting characteristics, admission laboratory data, ICU admission, and mortality data were collected from 200 consecutively hospitalized patients with COVID-19. Results The mean (SD) age was 58.9 (15.1) years, 121(60.5%) were men, 143 (71.5%) were African Americans, and 33 (16.5%) were Latino. Common presenting symptoms were cough 130 (65.0%), shortness of breath 129 (64.5%), and fever 121 (60.5%). One or more comorbid illness occurred in 171 (85.5%) and common comorbidities were hypertension (130 (65.2%)), diabetes (100 (50.0%)) and chronic kidney disease (60 (30.0%)). Of the 200 patients, 71 (35.5%) were treated in the ICU, 47 (24.2%) received mechanical ventilation, 45 (22.5%) died, and 155(77.5%) patients discharged home alive. The non-survivors were significantly older and had elevated markers of inflammation, coagulation, and acute organ damage on presentation. Age ≥ 65 years (odds ratio (
Mucopolysaccharidosis type VI, MaroteauxLamy syndrome is a lysosomal storage disorder with progressive, multisystem involvement caused by deficiency of the lysosomal enzyme N-acetylgalactosamine-4-sulfatase leading to accumulation of the glycosaminoglycan, keratan sulfate. Enzyme replacement therapy (ERT) has been shown to clinically benefit affected individuals. A combined treatment regime of ERT and hemopoietic stem cell transplantation (HSCT) has led to reduced morbidity and mortality in patients with MPS I. We have demonstrated that a treatment regime of ERT combined with HSCT in a 3-year-old girl with MPS VI provided similar benefit. This treatment regimen should be considered in the management of selected patients with MPS VI. Neither HSCT nor ERT can correct or completely prevent progression of the musculoskeletal complications. Long-term follow-up and regular assessments for these complications is necessary.
BACKGROUND: In 2018, influenza and pneumonia was the eighth leading cause of death in the United States. Since 1950, non-Hispanic blacks (NHBs) have experienced higher rates of mortality than non-Hispanic whites (NHWs). Previous studies have revealed geographic variation in mortality rates by race. The identification of areas with the greatest disparity in influenza and pneumonia mortality may assist policymakers in the allocation of resources, including for the coronavirus disease 2019 pandemic. RESEARCH QUESTION: Does geographic variation in racial disparity in influenza and pneumonia mortality exist? STUDY DESIGN AND METHODS: The Centers for Disease Control and Prevention database for Multiple Cause of Death between 1999 and 2018 for NHB and NHW decedents $ 25 years of age with a Tenth Revision of the International Statistical Classification of Diseases and Related Health Problems code for influenza (J09-J11) and pneumonia (J12-J18) was used. Ageadjusted mortality rates (AAMRs) with 95% CIs were computed by race for Health & Human Services (HHS) regions and urbanization in NHBs and NHWs.RESULTS: In 1999 through 2018, there were 540,476 deaths among NHBs and NHWs 25 to 84 years of age. AAMRs were higher in NHBs than NHWs in each age group and in seven of 10 HHS regions. The greatest disparity was in HHS regions 2 (New York and New Jersey) and 9 (Arizona, California, Hawaii, and Nevada). In HHS region 2, NHBs (24.6; 95% CI, 24.1-25.1) were more likely to die than NHWs (15.7; 95% CI,. Similarly, in region 9, NHBs (23.2; 95% CI, 22.7-23.8) had higher mortality than NHWs (16.1; 95% CI,. Within these regions, disparities were greatest in the core of major metropolitan areas. A very high AAMR in NHBs was noted in large, central metropolitan areas of region 2: 28.2 (95% CI, 27.6-28.9). INTERPRETATION:In 1999 through 2018, the NHB-NHW disparity in AAMRs from influenza and pneumonia was greatest in central metropolitan areas of HHS regions 2 and 9.
Background: Patients hospitalized with hematologic malignancy are particularly vulnerable to infection. We sought to determine the risk of Clostridium difficile infection (CDI) in hospitalization with multiple myeloma (MM), as well as its outcomes and trends, using a nationally representative database. Methods: The Nationwide Inpatient Sample (NIS) from January 2010 to September 2015 was used for this study. We identified all patients aged 18 years or older with a diagnosis of MM using the International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) codes. We identified trends in the annual rates of CDI in MM using negative binomial regressions with robust error variance. We conducted multivariate logistic regression to determine the incidence and the associated risk factors of CDI in MM and compared the outcomes between those with and without CDI using the propensity score method inverse probability weighting to adjust for baseline covariates. Results: In our cohort study of 114,249 MM patients, 45.96% were females and 54.04% were males. CDI was present in 3.1% of the MM patients. The number of CDI cases increased over the study period with an average rate of 3.27% per year. The mortality rate decreased over the same period with an average rate of 10% decrease per year. Hematopoietic stem cell transplantation (HSCT), neutropenia, inflammatory disease, atrial fibrillation (AF), and chronic kidney disease (CKD) were significant associated risk factors of CDI in MM patients. After adjusting for covariates, patients with CDI had a prolonged hospital stay, inpatient mortality, and significantly increased odds of acute kidney injury (AKI) and AKI requiring hemodialysis, along with higher healthcare resources utilization with significantly higher hospital costs. Conclusion: MM patients with CDI have significantly increased odds of inpatient mortality, AKI, and AKI requiring hemodialysis. They also have increased healthcare resource utilization compared with those without CDI. Despite the increased rate of the CDI over the years, the mortality rate is going down.
To explore the racial and ethnic differences in the occurrence of healthcare-associated infections (HAIs) captured using the most recent available National Inpatient Survey (NIS) data for 2016-2017. METHODS: Using merged NIS data from 2016-2017, for adult patients (18 and above), 9 HAI measures-surgical site infection (SSI), central line-associated bloodstream infections (CLABSI), catheter-associated urinary tract infection (CAUTI), ventilatorassociated pneumonia (VAP), hospital-acquired pneumonia (HAP), methicillin-resistant staphylococcus aureus (MRSA) pneumonia, postoperative pneumonia (POP), MRSA sepsis and clostridium difficile infection (c. diff) were explored using ICD-10 codes. All 9 HAI measures were combined into a composite measure, hospital-associated infection (HAI), and the percent incidence was calculated. Using a binomial regression model and controlling for potentially confounding comorbidities, the odds of HAI were estimated among racial/ethnic groups.
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