scholarly journals Seroprevalence of SARS CoV-2 antibodies in healthcare workers and administration employees: a prospective surveillance study at a 1,400-bed university hospital in Germany

2020 ◽  
Author(s):  
Christina Bahrs ◽  
Aurelia Kimmig ◽  
Sebastian Weis ◽  
Juliane Ankert ◽  
Stefan Hagel ◽  
...  
Keyword(s):  
High Risk ◽  
Healthcare Workers ◽  
Clinical Symptoms ◽  
Low Risk ◽  
University Hospital ◽  
Intermediate Risk ◽  
Prospective Surveillance ◽  
Risk Area ◽  
Additional Risk ◽  
Risk Areas

Background: Healthcare workers (HCWs) are at particular risk to acquire SARS-CoV-2 infections. Aim: The objectives of this study were to compare SARS-CoV-2 IgG seroprevalence and compliance to wear personal protective equipment (PPE) between HCWs working within (high-risk) or outside (intermediate-risk) units treating suspected or confirmed COVID-19 patients. In addition, administration staff (low-risk) was included. Materials: Co-HCW is a prospective cohort study among employees at the Jena University Hospital, Germany. Since 16th March 2020, 50 SARS-CoV-2 inpatients and 73 outpatients were treated in our hospital. Mandatory masking was implemented on 20th March 2020. We here evaluated seroprevalence using two IgG detecting immunoassays, assessed COVID-19 exposure, clinical symptoms and compliance to wear PPE. Findings: Between 19th May and 19th June 2020 we analysed 660 employees [out of 3,228; 20.4%]. Eighteen participants (2.7%) had SARS-CoV-2 antibodies in at least one immunoassay. Among them, 13 (72.2%) were not aware of direct COVID-19 exposure and 9 (50.0%) did not report any clinical symptoms. We observed no evidence for an association between seroprevalence and risk area (high-risk: 2 of 137 HCWs (1.5%), intermediate-risk: 10 of 343 HCWs (2.9%), low-risk: 6 of 180 administration employees (3.3%); p=0.574). Reported compliance to wear PPE differed (p<0.001) between working in high-risk (98.3%) and in intermediate-risk areas (69.8%). Conclusion: No evidence for higher seroprevalence against SARS-CoV-2 in HCWs working in high-risk COVID-19 areas could be observed, probably due to high compliance to wear PPE. Compared to administration employees, we observed no additional risk to acquire SARS-CoV-2 infections by patient care.

scholarly journals SARS-CoV-2 Seroprevalence in Healthcare Workers in Germany: A Follow-Up Study

2021 ◽  
Vol 18 (9) ◽  
pp. 4540
Author(s):  
Johannes Korth ◽  
Benjamin Wilde ◽  
Sebastian Dolff ◽  
Jasmin Frisch ◽  
Michael Jahn ◽  
...  
Keyword(s):  
High Risk ◽  
Healthcare Workers ◽  
Risk Group ◽  
Close Contact ◽  
Virus Transmission ◽  
High Risk Group ◽  
Low Risk ◽  
University Hospital ◽  
Intermediate Risk ◽  
Igg Antibody

SARS-CoV-2 is a worldwide challenge for the medical sector. Healthcare workers (HCW) are a cohort vulnerable to SARS-CoV-2 infection due to frequent and close contact with COVID-19 patients. However, they are also well trained and equipped with protective gear. The SARS-CoV-2 IgG antibody status was assessed at three different time points in 450 HCW of the University Hospital Essen in Germany. HCW were stratified according to contact frequencies with COVID-19 patients in (I) a high-risk group with daily contacts with known COVID-19 patients (n = 338), (II) an intermediate-risk group with daily contacts with non-COVID-19 patients (n = 78), and (III) a low-risk group without patient contacts (n = 34). The overall seroprevalence increased from 2.2% in March–May to 4.0% in June–July to 5.1% in October–December. The SARS-CoV-2 IgG detection rate was not significantly different between the high-risk group (1.8%; 3.8%; 5.5%), the intermediate-risk group (5.1%; 6.3%; 6.1%), and the low-risk group (0%, 0%, 0%). The overall SARS-CoV-2 seroprevalence remained low in HCW in western Germany one year after the outbreak of COVID-19 in Germany, and hygiene standards seemed to be effective in preventing patient-to-staff virus transmission.

scholarly journals PTSD Among Healthcare Workers During the COVID-19 Outbreak: A Study Raises Concern for Non-medical Staff in Low-Risk Areas

2021 ◽  
Vol 12 ◽  
Author(s):  
Ruike Zhang ◽  
Tianya Hou ◽  
Xiangyu Kong ◽  
Guibin Wang ◽  
Hao Wang ◽  
...  
Keyword(s):  
Risk Factor ◽  
High Risk ◽  
Sleep Quality ◽  
Medical Staff ◽  
Healthcare Workers ◽  
Low Risk ◽  
Ptsd Symptoms ◽  
Event Scale ◽  
Risk Areas ◽  
The Impact

Objective: To investigate the prevalence of sleep quality and post-traumatic stress disorder (PTSD) symptoms of healthcare workers (HCWs) and identify the determinants for PTSD symptoms among HCWs in high-risk and low-risk areas during the COVID-19 outbreak in China.Methods: The Pittsburgh Sleep Quality Index and the Impact of Event Scale were used to assess sleep quality and symptoms of PTSD of 421 Chinese HCWs, respectively, from January 30 to March 2, 2020. The influencing factors of PTSD symptoms were identified by univariate analysis and multiple regression.Results: The incidence of HCWs getting PTSD symptoms were 13.2%. HCWs from high-risk areas had significantly poorer sleep quality (p &lt; 0.001). Poor sleep quality was the risk factor of PTSD symptoms for HCWs from high-risk (p = 0.018) and low-risk areas (p &lt; 0.001). Furthermore, non-medical staff were found to be the risk factor for PTSD symptoms only in low-risk areas.Discussion: HCWs in Hubei had poorer sleep quality. Non-medical HCWs from low-risk areas were associated with more severe PTSD symptoms. Mental health programs should be considered for HCWs, especially those who are often overlooked.

Tuberculosis and Tuberculin Quality: Best Intentions, Misleading Results

2001 ◽  
Vol 22 (08) ◽  
pp. 481-484 ◽  
Author(s):  
M. Sigfrido Rangel-Frausto ◽  
Samuel Ponce-de-León-Rosales ◽  
Claudia Martinez-Abaroa ◽  
Kaare Hasløv
Keyword(s):  
Medical Students ◽  
High Risk ◽  
Positive Predictive Value ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Healthcare Workers ◽  
Low Risk ◽  
University Hospital ◽  
High Risk Population ◽  
Risk Population

Abstract Objective: To compare the performance of three purified protein derivative (PPD) formulations: Tubersol (Connaught); RT23, Statens Serum Institut (SSI); and RT23, Mexico, tested in Mexican populations at low and high risk for tuberculosis (TB). Design: A double-blinded clinical trial. Setting: A university hospital in Mexico City. Participants: The low-risk population was first or second-year medical students with no patient contact; the high-risk population was healthcare workers at a university hospital. Methods: Each of the study subjects received the three different PPD preparations. Risk factors for TB, including age, gender, occupation, bacille Calmette-Guerin (BCG) status, and TB exposure, were recorded. A 0.1-mL aliquot of each preparation was injected in the left and right forearms of volunteers using the Mantoux technique. Blind readings were done 48 to 72 hours later. Sensitivity and specificity were calculated at 10 mm of induration using Tubersol as the reference standard. The SSI tested the potency of the different PPD preparations in previously sensitized guinea pigs. Results: The low-risk population had a prevalence of positive PPD of 26%. In the low-risk population, RT23 prepared in Mexico, compared to the 5 TU of Tubersol, had a sensitivity of 51%, a specificity of 100%, a positive predictive value of 100%, and a negative predictive value of 86%. The RT23 prepared at the SSI had a sensitivity of 69%, a specificity of 99%, a positive predictive value of 95%, and a negative predictive value of 90%. In the high-risk population, the prevalence of positive PPD was 57%. The RT23 prepared in Mexico had a sensitivity of 33%, a specificity of 100%, and a positive predictive value of 53%; the RT23 prepared at the SSI had a sensitivity of 91%, a specificity of 98%, a positive predictive value of 98%, and a negative predictive value of 89%. RT23 used in Mexico had a potency of only 23% of that of the control. There was no statistical association among those with a positive PPD, irrespective of previous BCG vaccination (relative risk, 0.97; 95% confidence interval, 0.76-1.3; P=.78). Conclusions: Healthcare workers had twice the prevalence of positive PPD compared to medical students. RT23 prepared in Mexico had a low sensitivity in both populations compared to 5 TU of Tubersol and RT23 prepared at the SSI. Previous BCG vaccination did not correlate with a positive PPD. Low potency of the RT23 preparation in Mexico was confirmed in guinea pigs. Best intentions in a TB program are not enough if they are not followed by high-quality control.

scholarly journals 501. Serum IgG Antibody Testing Against Severe Acute Respiratory Syndrome Coronavirus 2 in Healthcare Workers

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S316-S316
Author(s):  
Joy J Juskowich ◽  
Ziad Dimachkie ◽  
Mary Fanning ◽  
Arif R Sarwari ◽  
Nathan M Lerfald ◽  
...  
Keyword(s):  
High Risk ◽  
West Virginia ◽  
Healthcare Workers ◽  
Low Risk ◽  
Antibody Testing ◽  
Serum Samples ◽  
Igg Antibody ◽  
Respiratory Therapists ◽  
Percent Positivity ◽  
Risk Areas

Abstract Background With the COVID-19 pandemic, many changes were made in healthcare institutions including but not limited to canceling elective surgeries, limiting face-to-face clinic visits, and implementing visitor restrictions. Phased reopening began at West Virginia University (WVU) Medicine on May 25, 2020. While preparing for transition, concern was raised regarding potential for more employee exposures to persons with SARS-CoV-2 infection. In West Virginia (WV), we did not get the predicted surge of SARS-CoV-2. Current cumulative percent positivity for SARS-CoV-2 PCR in WV is 2332 positives of 133,142 tests (1.75%). We provided appropriate personal protective equipment (PPE), including controlled air purifying respirators for all healthcare workers (HCW) caring for persons with suspected or confirmed COVID-19 from the beginning. Policies requiring masks for all HCW and patients took effect on March 27, 2020 and April 29, 2020, respectively. We hypothesized that due to appropriate PPE use there would be no difference in SARS-CoV-2 antibody positivity in HCW working in high versus low risk areas. Methods Serum samples from 1042 randomly selected HCW across 4 WVU Medicine hospitals, ranging from 170 to 690 beds with 121 cumulative SARS-CoV-2 PCR positive patients at the time of the study, were tested for SARS-CoV-2 IgG between May 26, 2020 and June 5, 2020. Physicians, nurses, and respiratory therapists were characterized as high or low risk based on work location. Environmental services (EVS) workers were included but not risk-stratified. A questionnaire was used to obtain information on demographics, chronic medical conditions, symptoms, and exposures. Results SARS-CoV-2 IgG was positive in 9 of 1042 (0.86%) randomly selected HCW. Seroprevalence was lower in high risk 5/835 (0.60%) versus low risk 4/176 (2.27%) group. This was not statistically significant. No EVS workers tested positive 0/31 (0%). Of 9 HCW who tested positive, 2 had previously tested positive for SARS-CoV-2 PCR. Conclusion SARS-CoV-2 IgG seroprevalence in a large sample of HCW across 4 WVU Medicine hospitals was low (0.86%). Low seroprevalence among HCW in high risk areas may be related to appropriate PPE use. Seroprevalence in HCW not caring for patients with COVID-19 could be from community or other inadvertent exposure. Disclosures All Authors: No reported disclosures

Rebuilding after Disaster

2019 ◽  
Vol 45 (2) ◽  
pp. 179-204
Author(s):  
Elizabeth Brake ◽  
Keyword(s):  
High Risk ◽  
Social Inequality ◽  
Disaster Recovery ◽  
Equal Opportunity ◽  
The State ◽  
Low Risk ◽  
Risk Area ◽  
Risk Areas ◽  
Egalitarian Principle

Liberal egalitarians face unappreciated challenges in explaining why the state should assist citizens in disaster recovery and why the state should ever assist in rebuilding in high-risk areas. Addressing these challenges and justifying state-funded disaster recovery assistance requires invoking the most politically salient aspect of disasters: their tendency to increase social inequality. A liberal egalitarian principle of equal opportunity justifies assistance in recovery, at least for disadvantaged citizens. But further argument is required to show why the state should ever subsidize rebuilding as opposed to relocation, if citizens can have access to equally good opportunities in a low-risk area. I argue that displacement has costs which matter under equal opportunity – but this rationale for disaster recovery extends to other causes of displacement, such as gentrification.

scholarly journals Diagnosis of transition zone prostate cancer by multiparametric MRI: added value of MR spectroscopic imaging with sLASER volume selection

2021 ◽  
Vol 28 (1) ◽  
Author(s):  
Neda Gholizadeh ◽  
Peter B. Greer ◽  
John Simpson ◽  
Jonathan Goodwin ◽  
Caixia Fu ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Transition Zone ◽  
Sensitivity And Specificity ◽  
Cancer Detection ◽  
Diagnostic Performance ◽  
Spectroscopic Imaging ◽  
Multiparametric Mri ◽  
Low Risk ◽  
Intermediate Risk

Abstract Background Current multiparametric MRI (mp-MRI) in routine clinical practice has poor-to-moderate diagnostic performance for transition zone prostate cancer. The aim of this study was to evaluate the potential diagnostic performance of novel 1H magnetic resonance spectroscopic imaging (MRSI) using a semi-localized adiabatic selective refocusing (sLASER) sequence with gradient offset independent adiabaticity (GOIA) pulses in addition to the routine mp-MRI, including T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI) and quantitative dynamic contrast enhancement (DCE) for transition zone prostate cancer detection, localization and grading. Methods Forty-one transition zone prostate cancer patients underwent mp-MRI with an external phased-array coil. Normal and cancer regions were delineated by two radiologists and divided into low-risk, intermediate-risk, and high-risk categories based on TRUS guided biopsy results. Support vector machine models were built using different clinically applicable combinations of T2WI, DWI, DCE, and MRSI. The diagnostic performance of each model in cancer detection was evaluated using the area under curve (AUC) of the receiver operating characteristic diagram. Then accuracy, sensitivity and specificity of each model were calculated. Furthermore, the correlation of mp-MRI parameters with low-risk, intermediate-risk and high-risk cancers were calculated using the Spearman correlation coefficient. Results The addition of MRSI to T2WI + DWI and T2WI + DWI + DCE improved the accuracy, sensitivity and specificity for cancer detection. The best performance was achieved with T2WI + DWI + MRSI where the addition of MRSI improved the AUC, accuracy, sensitivity and specificity from 0.86 to 0.99, 0.83 to 0.96, 0.80 to 0.95, and 0.85 to 0.97 respectively. The (choline + spermine + creatine)/citrate ratio of MRSI showed the highest correlation with cancer risk groups (r = 0.64, p < 0.01). Conclusion The inclusion of GOIA-sLASER MRSI into conventional mp-MRI significantly improves the diagnostic accuracy of the detection and aggressiveness assessment of transition zone prostate cancer.

scholarly journals An Alternative Risk Assessment Model of Urban Waterlogging: A Case Study of Ningbo City

2021 ◽  
Vol 13 (2) ◽  
pp. 826
Author(s):  
Meiling Zhou ◽  
Xiuli Feng ◽  
Kaikai Liu ◽  
Chi Zhang ◽  
Lijian Xie ◽  
...  
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Assessment Model ◽  
Risk Assessments ◽  
Risk Assessment Model ◽  
Risk Area ◽  
The North ◽  
Coastal Cities ◽  
Risk Areas ◽  
The City

Influenced by climate change, extreme weather events occur frequently, and bring huge impacts to urban areas, including urban waterlogging. Conducting risk assessments of urban waterlogging is a critical step to diagnose problems, improve infrastructure and achieve sustainable development facing extreme weathers. This study takes Ningbo, a typical coastal city in the Yangtze River Delta, as an example to conduct a risk assessment of urban waterlogging with high-resolution remote sensing images and high-precision digital elevation models to further analyze the spatial distribution characteristics of waterlogging risk. Results indicate that waterlogging risk in the city proper of Ningbo is mainly low risk, accounting for 36.9%. The higher-risk and medium-risk areas have the same proportions, accounting for 18.7%. They are followed by the lower-risk and high-risk areas, accounting for 15.5% and 9.6%, respectively. In terms of space, waterlogging risk in the city proper of Ningbo is high in the south and low in the north. The high-risk area is mainly located to the west of Jiangdong district and the middle of Haishu district. The low-risk area is mainly distributed in the north of Jiangbei district. These results are consistent with the historical situation of waterlogging in Ningbo, which prove the effectiveness of the risk assessment model and provide an important reference for the government to prevent and mitigate waterlogging. The optimized risk assessment model is also of importance for waterlogging risk assessments in coastal cities. Based on this model, the waterlogging risk of coastal cities can be quickly assessed, combining with local characteristics, which will help improve the city’s capability of responding to waterlogging disasters and reduce socio-economic loss.

scholarly journals Establishment of an Ultrasound Malignancy Risk Stratification Model for Thyroid Nodules Larger Than 4 cm

2021 ◽  
Vol 11 ◽  
Author(s):  
Xuehua Xi ◽  
Ying Wang ◽  
Luying Gao ◽  
Yuxin Jiang ◽  
Zhiyong Liang ◽  
...  
Keyword(s):  
High Risk ◽  
Risk Stratification ◽  
Diagnostic Performance ◽  
Thyroid Nodules ◽  
Low Risk ◽  
Validation Dataset ◽  
Intermediate Risk ◽  
Solid Mass ◽  
Incidence And Mortality ◽  
Risk Stratification Model

BackgroundThe incidence and mortality of thyroid cancer, including thyroid nodules &gt; 4 cm, have been increasing in recent years. The current evaluation methods are based mostly on studies of patients with thyroid nodules &lt; 4 cm. The aim of the current study was to establish a risk stratification model to predict risk of malignancy in thyroid nodules &gt; 4 cm.MethodsA total of 279 thyroid nodules &gt; 4 cm in 267 patients were retrospectively analyzed. Nodules were randomly assigned to a training dataset (n = 140) and a validation dataset (n = 139). Multivariable logistic regression analysis was applied to establish a nomogram. The risk stratification of thyroid nodules &gt; 4 cm was established according to the nomogram. The diagnostic performance of the model was evaluated and compared with the American College Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS), Kwak TI-RADS and 2015 ATA guidelines using the area under the receiver operating characteristic curve (AUC).ResultsThe analysis included 279 nodules (267 patients, 50.6 ± 13.2 years): 229 were benign and 50 were malignant. Multivariate regression revealed microcalcification, solid mass, ill-defined border and hypoechogenicity as independent risk factors. Based on the four factors, a risk stratified clinical model was developed for evaluating nodules &gt; 4 cm, which includes three categories: high risk (risk value = 0.8-0.9, with more than 3 factors), intermediate risk (risk value = 0.3-0.7, with 2 factors or microcalcification) and low risk (risk value = 0.1-0.2, with 1 factor except microcalcification). In the validation dataset, the malignancy rate of thyroid nodules &gt; 4 cm that were classified as high risk was 88.9%; as intermediate risk, 35.7%; and as low risk, 6.9%. The new model showed greater AUC than ACR TI-RADS (0.897 vs. 0.855, p = 0.040), but similar sensitivity (61.9% vs. 57.1%, p = 0.480) and specificity (91.5% vs. 93.2%, p = 0.680).ConclusionMicrocalcification, solid mass, ill-defined border and hypoechogenicity on ultrasound may be signs of malignancy in thyroid nodules &gt; 4 cm. A risk stratification model for nodules &gt; 4 cm may show better diagnostic performance than ACR TI-RADS, which may lead to better preoperative decision-making.

scholarly journals Spatial-time Visualization of Cutaneous Leishmaniasis in an Urban Area: Informing Health Policy and Practice

2020 ◽  
Author(s):  
Neda Firouraghi ◽  
Sayyed Mostafa Mostafavi ◽  
Amene Raouf-Rahmati ◽  
Alireza Mohammadi ◽  
Reza Saemi ◽  
...  
Keyword(s):  
High Risk ◽  
Incidence Rate ◽  
Urban Area ◽  
Incidence Rates ◽  
Low Risk ◽  
Health Concern ◽  
Surveillance Systems ◽  
Cross Sectional ◽  
Targeted Interventions ◽  
Risk Areas

Abstract Background:Cutaneous leishmaniasis (CL) is an important public health concern worldwide. Iran is among the most CL-affected countries, being listed as one of the first six endemic countries in the world. In order to develop targeted interventions, we performed a spatial-time visualization of CL cases in an urban area to identify high-risk and low-risk areas during 2016-2019.Methods:This cross-sectional study was conducted in the city of Mashhad. Patient data were gathered from Mashhad health centers. All cases (n=2425) were diagnosed in two stages; the initial diagnosis was based on clinical findings. Subsequently, clinical manifestation was confirmed by parasitological tests. The data were aggregated at the neighborhood and district levels and smoothed CL incidence rates per 100,000 individuals were calculated using the spatial empirical Bayesian approach. Furthermore, we used the Anselin Local Moran’s I statistic to identify clusters and outliers of CL distribution during 2016-2019 in Mashhad. Results:The overall incidence rates decreased from 34.6 per 100,000 in 2016 to 19.9 per 100,000 individuals in 2019. Both cluster analyses by crude incidence rate and smoothed incidence rate identified high-risk areas in southwestern Mashhad over the study period. Furthermore, the analyses revealed low-risk areas in northeastern Mashhad over the same 3-year period.Conclusions:The southwestern area of Mashhad had the highest CL incidence rates. This piece of information might be of value to design tailored interventions such as running effective resource allocation models, informed control plans and implementation of efficient surveillance systems. Furthermore, this study generates new hypotheses to test potential relationships between socio-economic and environmental risk factors and incidence of CL in areas with higher associated risks.

Sign in / Sign up

Export Citation Format

Share Document