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1.
Infect Control Hosp Epidemiol ; : 1-3, 2021 Dec 06.
Article in English | MEDLINE | ID: covidwho-2271139

ABSTRACT

We performed an epidemiological investigation and genome sequencing of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) to define the source and scope of an outbreak in a cluster of hospitalized patients. Lack of appropriate respiratory hygiene led to SARS-CoV-2 transmission to patients and healthcare workers during a single hemodialysis session, highlighting the importance of infection prevention precautions.

2.
JAC Antimicrob Resist ; 5(1): dlac130, 2023 Feb.
Article in English | MEDLINE | ID: covidwho-2237024

ABSTRACT

Coronavirus disease 2019 (COVID-19) changed healthcare across the world. With this change came an increase in healthcare-associated infections (HAIs) and a concerning concurrent proliferation of MDR organisms (MDROs). In this narrative review, we describe the impact of COVID-19 on HAIs and MDROs, describe potential causes of these changes, and discuss future directions to combat the observed rise in rates of HAIs and MDRO infections.

4.
Am J Infect Control ; 50(8): 929-933, 2022 08.
Article in English | MEDLINE | ID: covidwho-2000211

ABSTRACT

BACKGROUND: Invasive infections caused by carbapenem-resistant Enterobacterales (CRE) are of significant concern in health care settings. We assessed risk factors for a positive CRE culture from a sterile site (invasive infection) compared to isolation from urine in a large patient cohort in Atlanta from August 2011 to December 2015. METHODS: CRE cases required isolation, from urine or a normally-sterile site, of E. coli, Klebsiella spp., or Enterobacter spp. that were carbapenem-nonsusceptible (excluding ertapenem) and resistant to all third-generation cephalosporins tested. Risk factors were compared between patients with invasive and urinary infections using multivariable logistic regression. RESULTS: A total of 576 patients had at least 1 incident case of CRE, with 91 (16%) having an invasive infection. In multivariable analysis, the presence of a central venous catheter (OR 3.58; 95% CI: 2.06-6.23) or other indwelling device (OR 2.34; 95% CI: 1.35-4.06), and recent surgery within the last year (OR 1.81; 95% CI: 1.08-3.05) were associated with invasive infection when compared to urinary infection. DISCUSSION: Health care exposures and devices were associated with invasive infections in patients with CRE, suggesting that targeting indwelling catheters, including preventing unwarranted insertion or encouraging rapid removal, may be a potential infection control intervention. CONCLUSIONS: Future infection prevention efforts to decrease CRE cases in health care settings should focus on minimizing unnecessary devices.


Subject(s)
Enterobacteriaceae Infections , Urinary Tract Infections , Anti-Bacterial Agents/pharmacology , Anti-Bacterial Agents/therapeutic use , Carbapenems/pharmacology , Enterobacteriaceae Infections/drug therapy , Enterobacteriaceae Infections/epidemiology , Escherichia coli , Humans , Risk Factors , Urinary Tract Infections/drug therapy , Urinary Tract Infections/epidemiology
5.
J Imaging ; 8(3)2022 Mar 05.
Article in English | MEDLINE | ID: covidwho-1732094

ABSTRACT

Ultrasound imaging of the lung has played an important role in managing patients with COVID-19-associated pneumonia and acute respiratory distress syndrome (ARDS). During the COVID-19 pandemic, lung ultrasound (LUS) or point-of-care ultrasound (POCUS) has been a popular diagnostic tool due to its unique imaging capability and logistical advantages over chest X-ray and CT. Pneumonia/ARDS is associated with the sonographic appearances of pleural line irregularities and B-line artefacts, which are caused by interstitial thickening and inflammation, and increase in number with severity. Artificial intelligence (AI), particularly machine learning, is increasingly used as a critical tool that assists clinicians in LUS image reading and COVID-19 decision making. We conducted a systematic review from academic databases (PubMed and Google Scholar) and preprints on arXiv or TechRxiv of the state-of-the-art machine learning technologies for LUS images in COVID-19 diagnosis. Openly accessible LUS datasets are listed. Various machine learning architectures have been employed to evaluate LUS and showed high performance. This paper will summarize the current development of AI for COVID-19 management and the outlook for emerging trends of combining AI-based LUS with robotics, telehealth, and other techniques.

6.
Ann Intern Med ; 174(5): 649-654, 2021 05.
Article in English | MEDLINE | ID: covidwho-1726736

ABSTRACT

BACKGROUND: Identifying occupational risk factors for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection among health care workers (HCWs) can improve HCW and patient safety. OBJECTIVE: To quantify demographic, occupational, and community risk factors for SARS-CoV-2 seropositivity among HCWs in a large health care system. DESIGN: A logistic regression model was fitted to data from a cross-sectional survey conducted in April to June 2020, linking risk factors for occupational and community exposure to coronavirus disease 2019 (COVID-19) with SARS-CoV-2 seropositivity. SETTING: A large academic health care system in the Atlanta, Georgia, metropolitan area. PARTICIPANTS: Employees and medical staff members elected to participate in SARS-CoV-2 serology testing offered to all HCWs as part of a quality initiative and completed a survey on exposure to COVID-19 and use of personal protective equipment. MEASUREMENTS: Demographic risk factors for COVID-19, residential ZIP code incidence of COVID-19, occupational exposure to HCWs or patients who tested positive on polymerase chain reaction test, and use of personal protective equipment as potential risk factors for infection. The outcome was SARS-CoV-2 seropositivity. RESULTS: Adjusted SARS-CoV-2 seropositivity was estimated to be 3.8% (95% CI, 3.4% to 4.3%) (positive, n = 582) among the 10 275 HCWs (35% of the Emory Healthcare workforce) who participated in the survey. Community contact with a person known or suspected to have COVID-19 (adjusted odds ratio [aOR], 1.9 [CI, 1.4 to 2.6]; 77 positive persons [10.3%]) and community COVID-19 incidence (aOR, 1.5 [CI, 1.0 to 2.2]) increased the odds of infection. Black individuals were at high risk (aOR, 2.1 [CI, 1.7 to 2.6]; 238 positive persons [8.3%]). LIMITATIONS: Participation rates were modest and key workplace exposures, including job and infection prevention practices, changed rapidly in the early phases of the pandemic. CONCLUSION: Demographic and community risk factors, including contact with a COVID-19-positive person and Black race, are more strongly associated with SARS-CoV-2 seropositivity among HCWs than is exposure in the workplace. PRIMARY FUNDING SOURCE: Emory COVID-19 Response Collaborative.


Subject(s)
COVID-19/epidemiology , Health Personnel , Infectious Disease Transmission, Patient-to-Professional , Occupational Diseases/epidemiology , Occupational Exposure/adverse effects , Pneumonia, Viral/epidemiology , Adult , COVID-19/ethnology , Cross-Sectional Studies , Female , Georgia/epidemiology , Humans , Male , Middle Aged , Occupational Diseases/ethnology , Pandemics , Personal Protective Equipment , Pneumonia, Viral/ethnology , Pneumonia, Viral/virology , Risk Factors , SARS-CoV-2 , Surveys and Questionnaires , United States/epidemiology
7.
Infect Control Hosp Epidemiol ; 43(11): 1664-1671, 2022 11.
Article in English | MEDLINE | ID: covidwho-1713057

ABSTRACT

OBJECTIVES: To determine the incidence of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) infection among healthcare personnel (HCP) and to assess occupational risks for SARS-CoV-2 infection. DESIGN: Prospective cohort of healthcare personnel (HCP) followed for 6 months from May through December 2020. SETTING: Large academic healthcare system including 4 hospitals and affiliated clinics in Atlanta, Georgia. PARTICIPANTS: HCP, including those with and without direct patient-care activities, working during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: Incident SARS-CoV-2 infections were determined through serologic testing for SARS-CoV-2 IgG at enrollment, at 3 months, and at 6 months. HCP completed monthly surveys regarding occupational activities. Multivariable logistic regression was used to identify occupational factors that increased the risk of SARS-CoV-2 infection. RESULTS: Of the 304 evaluable HCP that were seronegative at enrollment, 26 (9%) seroconverted for SARS-CoV-2 IgG by 6 months. Overall, 219 participants (73%) self-identified as White race, 119 (40%) were nurses, and 121 (40%) worked on inpatient medical-surgical floors. In a multivariable analysis, HCP who identified as Black race were more likely to seroconvert than HCP who identified as White (odds ratio, 4.5; 95% confidence interval, 1.3-14.2). Increased risk for SARS-CoV-2 infection was not identified for any occupational activity, including spending >50% of a typical shift at a patient's bedside, working in a COVID-19 unit, or performing or being present for aerosol-generating procedures (AGPs). CONCLUSIONS: In our study cohort of HCP working in an academic healthcare system, <10% had evidence of SARS-CoV-2 infection over 6 months. No specific occupational activities were identified as increasing risk for SARS-CoV-2 infection.


Subject(s)
COVID-19 , Humans , COVID-19/epidemiology , COVID-19/prevention & control , SARS-CoV-2 , Health Personnel , Risk Factors , Delivery of Health Care , Immunoglobulin G
8.
Infect Control Hosp Epidemiol ; : 1-10, 2022 Feb 14.
Article in English | MEDLINE | ID: covidwho-1683853

ABSTRACT

OBJECTIVE: Understand how the built environment can affect safety and efficiency outcomes during doffing of personal protective equipment (PPE) in the context of coronavirus disease 2019 (COVID-19) patient care. STUDY DESIGN: We conducted (1) field observations and surveys administered to healthcare workers (HCWs) performing PPE doffing, (2) focus groups with HCWs and infection prevention experts, and (3) a with healthcare design experts. SETTINGS: This study was conducted in 4 inpatient units treating patients with COVID-19, in 3 hospitals of a single healthcare system. PARTICIPANTS: The study included 24 nurses, 2 physicians, 1 respiratory therapist, and 2 infection preventionists. RESULTS: The doffing task sequence and the layout of doffing spaces varied considerably across sites, with field observations showing most doffing tasks occurring around the patient room door and PPE support stations. Behaviors perceived as most risky included touching contaminated items and inadequate hand hygiene. Doffing space layout and types of PPE storage and work surfaces were often associated with inadequate cleaning and improper storage of PPE. Focus groups and the design charrette provided insights on how design affording standardization, accessibility, and flexibility can support PPE doffing safety and efficiency in this context. CONCLUSIONS: There is a need to define, organize and standardize PPE doffing spaces in healthcare settings and to understand the environmental implications of COVID-19-specific issues related to supply shortage and staff workload. Low-effort and low-cost design adaptations of the layout and design of PPE doffing spaces may improve HCW safety and efficiency in existing healthcare facilities.

11.
Ocul Immunol Inflamm ; 29(4): 743-750, 2021 May 19.
Article in English | MEDLINE | ID: covidwho-1379400

ABSTRACT

PURPOSE: To assess the prevalence of retinopathy and its association with systemic morbidity and laboratory indices of coagulation and inflammatory dysfunction in severe COVID-19. DESIGN: Retrospective, observational cohort study. METHODS: Adult patients hospitalized with severe COVID-19 who underwent ophthalmic examination from April to July 2020 were reviewed. Retinopathy was defined as one of the following: 1) Retinal hemorrhage; 2) Cotton wool spots; 3) Retinal vascular occlusion. We analyzed medical comorbidities, sequential organ failure assessment (SOFA) scores, clinical outcomes, and laboratory values for their association with retinopathy. RESULTS: Thirty-seven patients with severe COVID-19 were reviewed, the majority of whom were female (n = 23, 62%), Black (n = 26, 69%), and admitted to the intensive care unit (n = 35, 95%). Fourteen patients had retinopathy (38%) with retinal hemorrhage in 7 (19%), cotton wool spots in 8 (22%), and a branch retinal artery occlusion in 1 (3%) patient. Patients with retinopathy had higher SOFA scores than those without retinopathy (8.0 vs. 5.3, p = .03), higher rates of respiratory failure requiring invasive mechanical ventilation and shock requiring vasopressors (p < .01). Peak D-dimer levels were 28,971 ng/mL in patients with retinopathy compared to 12,575 ng/mL in those without retinopathy (p = .03). Peak CRP was higher in patients with cotton wool spots versus those without cotton wool spots (354 mg/dL vs. 268 mg/dL, p = .03). Multivariate logistic regression modeling showed an increased risk of retinopathy with higher peak D-dimers (aOR 1.32, 95% CI 1.01-1.73, p = .04) and male sex (aOR 9.6, 95% CI 1.2-75.5, p = .04). CONCLUSION: Retinopathy in severe COVID-19 was associated with greater systemic disease morbidity involving multiple organs. Given its association with coagulopathy and inflammation, retinopathy may offer insight into disease pathogenesis in patients with severe COVID-19.


Subject(s)
COVID-19/epidemiology , Retinal Diseases/epidemiology , SARS-CoV-2 , COVID-19/diagnosis , Follow-Up Studies , Hospitalization/trends , Morbidity , Retrospective Studies , Severity of Illness Index , United States/epidemiology
12.
Infect Control Hosp Epidemiol ; 42(2): 194-202, 2021 02.
Article in English | MEDLINE | ID: covidwho-1253829

ABSTRACT

OBJECTIVE: To assess the clarity and efficacy of the World Health Organization (WHO) hand-rub diagram, develop a modified version, and compare the 2 diagrams. DESIGN: Randomized group design preceded by controlled observation and iterative product redesigns. SETTING: The Cognitive Ergonomics Lab in the School of Psychology at the Georgia Institute of Technology. PARTICIPANTS: We included participants who were unfamiliar with the WHO hand-rub diagram (convenience sampling) to ensure that performance was based on the diagram and not, for example, on prior experience. METHODS: We iterated through the steps of a human factors design procedure: (1) Participants simulated hand hygiene using ultraviolet (UV) absorbent lotion and a hand-rub technique diagram (ie, WHO or a redesign). (2) Coverage, confusion judgments, and behavioral videos informed potentially improved diagrams. And (3) the redesigned diagrams were compared with the WHO version in a randomized group design. Coverage was assessed across 72 hand areas from multiple UV photographs. RESULTS: The WHO diagram led to multiple omissions in hand-surface coverage, including inadequate coverage by up to 75% of participants for the ulnar edge. The redesigns improved coverage significantly overall and often substantially. CONCLUSIONS: Human factors modification to the WHO diagram reduced inadequate coverage for naïve users. Implementation of an improved diagram should help in the prevention of healthcare-associated infections.


Subject(s)
Cross Infection , Hand Hygiene , Communication , Hand , Hand Disinfection , Humans , World Health Organization
13.
Infect Control Hosp Epidemiol ; 43(3): 381-386, 2022 03.
Article in English | MEDLINE | ID: covidwho-1246283

ABSTRACT

Among 353 healthcare personnel in a longitudinal cohort in 4 hospitals in Atlanta, Georgia (May-June 2020), 23 (6.5%) had severe acute respiratory coronavirus virus 2 (SARS-CoV-2) antibodies. Spending >50% of a typical shift at the bedside (OR, 3.4; 95% CI, 1.2-10.5) and black race (OR, 8.4; 95% CI, 2.7-27.4) were associated with SARS-CoV-2 seropositivity.


Subject(s)
COVID-19 , SARS-CoV-2 , COVID-19/prevention & control , Cross-Sectional Studies , Delivery of Health Care , Health Personnel , Humans , Risk Factors
15.
JAMA Netw Open ; 4(3): e211283, 2021 03 01.
Article in English | MEDLINE | ID: covidwho-1125121

ABSTRACT

Importance: Risks for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection among health care personnel (HCP) are unclear. Objective: To evaluate the risk factors associated with SARS-CoV-2 seropositivity among HCP with the a priori hypothesis that community exposure but not health care exposure was associated with seropositivity. Design, Setting, and Participants: This cross-sectional study was conducted among volunteer HCP at 4 large health care systems in 3 US states. Sites shared deidentified data sets, including previously collected serology results, questionnaire results on community and workplace exposures at the time of serology, and 3-digit residential zip code prefix of HCP. Site-specific responses were mapped to a common metadata set. Residential weekly coronavirus disease 2019 (COVID-19) cumulative incidence was calculated from state-based COVID-19 case and census data. Exposures: Model variables included demographic (age, race, sex, ethnicity), community (known COVID-19 contact, COVID-19 cumulative incidence by 3-digit zip code prefix), and health care (workplace, job role, COVID-19 patient contact) factors. Main Outcome and Measures: The main outcome was SARS-CoV-2 seropositivity. Risk factors for seropositivity were estimated using a mixed-effects logistic regression model with a random intercept to account for clustering by site. Results: Among 24 749 HCP, most were younger than 50 years (17 233 [69.6%]), were women (19 361 [78.2%]), were White individuals (15 157 [61.2%]), and reported workplace contact with patients with COVID-19 (12 413 [50.2%]). Many HCP worked in the inpatient setting (8893 [35.9%]) and were nurses (7830 [31.6%]). Cumulative incidence of COVID-19 per 10 000 in the community up to 1 week prior to serology testing ranged from 8.2 to 275.6; 20 072 HCP (81.1%) reported no COVID-19 contact in the community. Seropositivity was 4.4% (95% CI, 4.1%-4.6%; 1080 HCP) overall. In multivariable analysis, community COVID-19 contact and community COVID-19 cumulative incidence were associated with seropositivity (community contact: adjusted odds ratio [aOR], 3.5; 95% CI, 2.9-4.1; community cumulative incidence: aOR, 1.8; 95% CI, 1.3-2.6). No assessed workplace factors were associated with seropositivity, including nurse job role (aOR, 1.1; 95% CI, 0.9-1.3), working in the emergency department (aOR, 1.0; 95% CI, 0.8-1.3), or workplace contact with patients with COVID-19 (aOR, 1.1; 95% CI, 0.9-1.3). Conclusions and Relevance: In this cross-sectional study of US HCP in 3 states, community exposures were associated with seropositivity to SARS-CoV-2, but workplace factors, including workplace role, environment, or contact with patients with known COVID-19, were not. These findings provide reassurance that current infection prevention practices in diverse health care settings are effective in preventing transmission of SARS-CoV-2 from patients to HCP.


Subject(s)
COVID-19/epidemiology , Disease Hotspot , Disease Transmission, Infectious/statistics & numerical data , Health Personnel/statistics & numerical data , Occupational Exposure/statistics & numerical data , Adult , COVID-19/transmission , COVID-19 Serological Testing , Cross-Sectional Studies , Female , Georgia/epidemiology , Humans , Illinois/epidemiology , Male , Maryland/epidemiology , Middle Aged , Residence Characteristics , Risk Factors , SARS-CoV-2 , Seroepidemiologic Studies , United States/epidemiology
16.
J Racial Ethn Health Disparities ; 9(1): 117-123, 2022 Feb.
Article in English | MEDLINE | ID: covidwho-1014261

ABSTRACT

BACKGROUND: Black patients are disproportionately affected by COVID-19. The purpose of this study was to compare risks of hospitalization of Black and non-Black COVID-19 patients presenting to the emergency department and, of those hospitalized, to compare mortality and acute kidney injury. METHODS: A retrospective cohort of 831 adult COVID-19 patients (68.5% Black) who presented to the emergency departments of four academic hospitals, March 1, 2020-May 31, 2020. The primary outcome was risk of hospitalization among Blacks vs. non-Blacks. Secondary outcomes were mortality and acute kidney injury, among hospitalized patients. RESULTS: The crude odds of hospitalization were not different in Black vs. non-Black patients; however, with adjustment for age, Blacks had 55% higher odds of hospitalization. Mortality differed most in the model adjusted for age alone. Acute kidney injury was more common in the Black hospitalized patients, regardless of adjustment. Stratified analyses suggested that disparities in the risk of hospitalization and of in-hospital acute kidney injury were highest in the youngest patients. CONCLUSIONS: Our report shows that Black and non-Black patients presenting to the emergency department with COVID-19 had similar risks of hospitalization and, of those who were hospitalized, similar mortality when adjusted for multiple factors. Blacks had higher risk of acute kidney injury. Our results suggest that examination of disparities without exploration of the individual effects of age and comorbidities may mask important patterns. While stratified analyses suggest that disparities in outcomes may differ substantially by age and comorbid conditions, further exploration among these important subgroups is needed to better target interventions to reduce disparities in COVID-19 clinical outcomes.


Subject(s)
COVID-19 , Adult , Humans , Racial Groups , Retrospective Studies , SARS-CoV-2 , White People
18.
Crit Care Med ; 48(9): e799-e804, 2020 09.
Article in English | MEDLINE | ID: covidwho-378160

ABSTRACT

OBJECTIVES: To determine mortality rates among adults with critical illness from coronavirus disease 2019. DESIGN: Observational cohort study of patients admitted from March 6, 2020, to April 17, 2020. SETTING: Six coronavirus disease 2019 designated ICUs at three hospitals within an academic health center network in Atlanta, Georgia, United States. PATIENTS: Adults greater than or equal to 18 years old with confirmed severe acute respiratory syndrome-CoV-2 disease who were admitted to an ICU during the study period. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Among 217 critically ill patients, mortality for those who required mechanical ventilation was 35.7% (59/165), with 4.8% of patients (8/165) still on the ventilator at the time of this report. Overall mortality to date in this critically ill cohort is 30.9% (67/217) and 60.4% (131/217) patients have survived to hospital discharge. Mortality was significantly associated with older age, lower body mass index, chronic renal disease, higher Sequential Organ Failure Assessment score, lower PaO2/FIO2 ratio, higher D-dimer, higher C-reactive protein, and receipt of mechanical ventilation, vasopressors, renal replacement therapy, or vasodilator therapy. CONCLUSIONS: Despite multiple reports of mortality rates exceeding 50% among critically ill adults with coronavirus disease 2019, particularly among those requiring mechanical ventilation, our early experience indicates that many patients survive their critical illness.


Subject(s)
Betacoronavirus , Coronavirus Infections/mortality , Pneumonia, Viral/mortality , Respiration, Artificial , Respiratory Distress Syndrome/mortality , Aged , COVID-19 , Cohort Studies , Comorbidity , Coronavirus Infections/complications , Coronavirus Infections/therapy , Critical Illness , Female , Georgia/epidemiology , Hospital Mortality , Humans , Intensive Care Units , Male , Middle Aged , Organ Dysfunction Scores , Pandemics , Pneumonia, Viral/complications , Pneumonia, Viral/therapy , Respiratory Distress Syndrome/etiology , Respiratory Distress Syndrome/therapy , SARS-CoV-2 , Socioeconomic Factors
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