Source Analysis and Effective Control of a COVID-19 Outbreak in a University Teaching Hospital during a Period of Increasing Community Prevalence of COVID-19

Environment contamination and intra-hospital spread of COVID-19 in a tertiary care Hospital in Taiwan

BACKGROUND

The role of environmental contamination in COVID-19 transmission within hospitals is still of interest due to the significant impact of outbreaks globally. However, there is a scarcity of data regarding the utilization of environmental sampling for informing infection control measures during SARS-CoV-2 outbreaks.

METHODS

This retrospective study analyzed incident event investigations conducted at a single center from May 1, 2021, to August 31, 2021. Investigations were initiated following the identification of a COVID-19 confirmed case (referred to as the index case) who had stayed in a hospital area outside the dedicated COVID-19 ward/bed and without specific COVID-19 precautions. Measures to prevent intra-hospital spread included contact tracing, adjusted testing policies, isolation of confirmed cases, quarantine of close contacts, environmental disinfection, and PCR testing of environmental samples.

RESULTS

Among the 18 incident events investigated, the index case was a healthcare personnel in 8 events, a patient in 8 events, and a caregiver in 2 events. The median number of confirmed COVID-19 cases within 14 days was 13 (IQR, 7-31) for events with SARS-CoV-2 RNA detected on environmental surfaces, compared to only one (IQR, 1-1.5) for events without surface contamination (P = 0.04). Environmental contamination was independently associated with a higher number of COVID-19 cases (P < 0.001).

CONCLUSION

This study highlights environmental contamination as an indicator of the severity of incident events and provides a framework for incident event management, including a protocol for environmental sampling. Implementing these measures can help prevent the spread of COVID-19 within healthcare facilities.

Preventing and controlling intra-hospital spread of COVID-19 in Taiwan - Looking back and moving forward

COVID-19 has exposed major weaknesses in the healthcare settings. The surge in COVID-19 cases increases the demands of health care, endangers vulnerable patients, and threats occupational safety. In contrast to a hospital outbreak of SARS leading to a whole hospital quarantined, at least 54 hospital outbreaks following a COVID-19 surge in the community were controlled by strengthened infection prevention and control measures for preventing transmission from community to hospitals as well as within hospitals. Access control measures include establishing triage, epidemic clinics, and outdoor quarantine stations. Visitor access restriction is applied to inpatients to limit the number of visitors. Health monitoring and surveillance is applied to healthcare personnel, including self-reporting travel declaration, temperature, predefined symptoms, and test results. Isolation of the confirmed cases during the contagious period and quarantine of the close contacts during the incubation period are critical for containment. The target populations and frequency of SARS-CoV-2 PCR and rapid antigen testing depend on the level of transmission. Case investigation and contact tracing should be comprehensive to identify the close contacts to prevent further transmission. These facility-based infection prevention and control strategies help reduce hospital transmission of SARS-CoV-2 to a minimum in Taiwan.

Clinical support system for triage based on federated learning for the Korea triage and acuity scale

Background and aims

This study developed a clinical support system based on federated learning to predict the need for a revised Korea Triage Acuity Scale (KTAS) to facilitate triage.

Methods

This was a retrospective study that used data from 11,952,887 patients in the Korean National Emergency Department Information System (NEDIS) from 2016 to 2018 for model development. Separate cohorts were created based on the emergency medical center level in the NEDIS: regional emergency medical center (REMC), local emergency medical center (LEMC), and local emergency medical institution (LEMI). External and temporal validation used data from emergency department (ED) of the study site from 2019 to 2021. Patient features obtained during the triage process and the initial KTAS scores were used to develop the prediction model. Federated learning was used to rectify the disparity in data quality between EDs. The patient's demographic information, vital signs in triage, mental status, arrival information, and initial KTAS were included in the input feature.

Results

3,626,154 patients' visits were included in the regional emergency medical center cohort; 8,278,081 patients' visits were included in the local emergency medical center cohort; and 48,652 patients' visits were included in the local emergency medical institution cohort. The study site cohort, which is used for external and temporal validation, included 135,780 patients visits. Among the patients in the REMC and study site cohorts, KTAS level 3 patients accounted for the highest proportion at 42.4% and 45.1%, respectively, whereas in the LEMC and LEMI cohorts, KTAS level 4 patients accounted for the highest proportion. The area under the receiver operating characteristic curve for the prediction model was 0.786, 0.750, and 0.770 in the external and temporal validation. Patients with revised KTAS scores had a higher admission rate and ED mortality rate than those with unaltered KTAS scores.

Conclusions

This novel system might accurately predict the likelihood of KTAS acuity revision and support clinician-based triage.

Guidelines for Infection Control and Burnout Prevention in Healthcare Workers Responding to COVID-19

During the coronavirus disease 2019 (COVID-19) pandemic, frontline healthcare workers (HCWs) suffered more distress from the possibility of contracting the virus, quarantine, social stigma, and prejudice against their families. Many studies have investigated the impact of the pandemic on HCWs; however, studies or guidelines presenting strategies to overcome these challenges are lacking. As part of a 2020 research project supported by the Ministry of Health and Welfare, titled "Health impact assessment of healthcare workers undertaking coronavirus disease 2019 treatment and management in Korea: Identifying problems and researching effective solutions" (HC20C0003), we created guidelines to respond to serious problems posed by infection control. and burnout among HCWs during COVID-19 response measures throughout the extended pandemic period. We formulated the guidelines by means of a systematic review and collated them with the latest literature. The guidelines will highlight the gravity and impact of infection control and burnout among HCWs responding to COVID-19 and include potential prevention strategies, and they can be used as a reference in the event of another emerging infectious disease outbreak in the future.

Nosocomial infection and spread of SARS-CoV-2 infection among hospital staff, patients and caregivers

BACKGROUND

There are difficulties in diagnosing nosocomial transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in hospital settings. Furthermore, mortality of cases of nosocomial infection (NI) with SARS-CoV-2 is higher than that of the general infected population. In the early stage of the pandemic in Taiwan, as patients were not tested for SARS-CoV-2 at admission, NIs often go undetected. Strictly applying the systematic polymerase chain reaction (PCR) screening, as a standard infection control measure was subsequently implemented to reduce NI incidence. However, evidence on risk factors for SARS-CoV-2 NIs among healthcare workers (HCWs) and caregivers is limited.

AIM

To assess NI incidence of SARS-CoV-2 among hospital staff, hospitalized patients, and caregivers, and the transmission routes of clusters of infection.

METHODS

This descriptive retrospective analysis at our hospital from May 15 to August 15, 2021 included data on 132 SARS-CoV-2 NIs cases among hospital staff, inpatients, and caregivers who previously tested negative but subsequently identified with a positive SARS-CoV-2 reverse transcriptase-PCR (RT-PCR) test results, or a hospital staff who tested positive following routine SARS-CoV-2 RT-PCR test. Chi-square tests were performed to compare the differences between hospital staff and private caregivers, and between clusters and sporadic infections.

RESULTS

Overall, 9149 patients and 2005 hospital staff members underwent routine SARS-CoV-2 RT-PCR testing, resulting in 12 confirmed cluster and 23 sporadic infections. Among the index cases of the clusters, three (25%) cases were among hospital staff and nine (75%) cases were among other contacts. Among sporadic infections, 21 (91%) cases were among hospital staff and two (9%) cases were among other contacts (P < 0.001). There was an average of 8.08 infections per cluster. The secondary cases of cluster infection were inpatients (45%), hospital staff (30%), and caregivers (25%). Private caregivers constituted 27% and 4% of the clusters and sporadic infections, respectively (P = 0.024); 92.3% of them were infected in the clusters. The mortality rate was 0.0%.

CONCLUSION

The incidence of SARS-CoV-2 infection was relatively high among private caregivers, indicating a need for infection control education in this group, such as social distancing, frequent hand-washing, and wearing PPE.

Comparison of outcomes after transcatheter aortic valve replacement between elderly (65-79 years) and super-elderly (≥80 years) patients

Transcatheter aortic valve replacement (TAVR) is an effective treatment option for patients with severe symptomatic aortic stenosis. Nonetheless, there is a paucity of data regarding the differences in the clinical outcomes of TAVR procedures between elderly and super-elderly patients. This study aimed to compare the clinical characteristics and outcomes of patients aged 65 to 79 years and ≥80 years who underwent TAVR for aortic stenosis. The clinical characteristics and outcomes of 134 patients with aortic stenosis who underwent TAVR were analyzed. Patients were categorized into 2 groups: an elderly group (EG; 65-79 years) and a super-elderly group (SEG) (≥80 years). The in-hospital and follow-up clinical outcomes were compared between the 2 groups. The EG tended to be more overweight, obese, and diabetic than the SEG, whereas the SEG had a higher surgical risk but lower creatinine clearance, hematocrit level, and effective orifice area than the EG. However, no difference was found in in-hospital clinical outcomes between the 2 groups, except for atrial fibrillation. In the propensity score matching and inverse probability of treatment weighting-adjusted analyses, these results were similar. All follow-up clinical outcomes were similar, except for rehospitalization, which was statistically attenuated after propensity score matching and inverse probability of treatment weighting-adjusted analyses. TAVR was associated with similar safety outcomes in the EG (65-79 years) and the SEG (≥80 years). Advanced age is not negatively associated with clinical outcomes after the TAVR procedure.

Treatment delay and outcomes of ST-segment elevation myocardial infarction treated by primary percutaneous coronary intervention during the COVID-19 era in South Korea

BACKGROUND/AIMS

Little is known about the clinical characteristics and treatment outcomes of ST-segment elevation myocardial infarction (STEMI) in Korea during the coronavirus disease 2019 (COVID-19) era. We aimed to evaluate the clinical characteristics and treatment outcomes of patients with STEMI in the COVID-19 era.

METHODS

A total of 588 consecutive patients with STEMI who underwent primary percutaneous coronary intervention were included in this study. The patients were categorized into the COVID-19 (from January 20, 2020 to December 31, 2020) and control groups (from January 20, 2019 to December 31, 2019).

RESULTS

The COVID-19 group showed pre-hospital and in-hospital delays than the control group. The control group underwent more thrombus aspiration and had a higher proportion of left main coronary artery diseases, while the COVID-19 group had a higher proportion of multivessel diseases with a marked increase in the number and total length of stents than the control group. As for the prescribed medications, the COVID-19 group was administered more beta-blockers, angiotensin-converting enzyme inhibitors/angiotensin receptor blockers, and statins than the control group. The clinical outcomes were comparable between the groups, except for higher incidences of atrioventricular block and temporary pacemaker implantation in the COVID-19 group.

CONCLUSION

Reperfusion after STEMI treatment during the COVID-19 period was delayed; therefore, efforts should be made to improve on reperfusion.

Transmission visualizations of healthcare infection clusters: A scoping review

OBJECTIVE

To evaluate infectious pathogen transmission data visualizations in outbreak publications.

DESIGN

Scoping review.

METHODS

Medline was searched for outbreak investigations of infectious diseases within healthcare facilities that included ≥1 data visualization of transmission using data observable by an infection preventionist showing temporal and/or spatial relationships. Abstracted data included the nature of the cluster(s) (pathogen, scope of transmission, and individuals involved) and data visualization characteristics including visualization type, transmission elements, and software.

RESULTS

From 1,957 articles retrieved, we analyzed 30 articles including 37 data visualizations. The median cluster size was 20.5 individuals (range, 7-1,963) and lasted a median of 214 days (range, 12-5,204). Among the data visualization types, 10 (27%) were floor-plan transmission maps, 6 (16%) were timelines, 11 (30%) were transmission networks, 3 (8%) were Gantt charts, 4 (11%) were cluster map, and 4 (11%) were other types. In addition, 26 data visualizations (70%) contained spatial elements, 26 (70%) included person type, and 19 (51%) contained time elements. None of the data visualizations contained contagious periods and only 2 (5%) contained symptom-onset date.

CONCLUSIONS

The data visualizations of healthcare-associated infectious disease outbreaks in the systematic review were diverse in type and visualization elements, though no data visualization contained all elements important to deriving hypotheses about transmission pathways. These findings aid in understanding the visualizing transmission pathways by describing essential elements of the data visualization and will inform the creation of a standardized mapping tool to aid in earlier initiation of interventions to prevent transmission.

Healthcare Workforce Response to The Coronavirus Disease Outbreak in Daegu, Korea: A Multi-Center, Cross-Sectional Survey

BACKGROUND

Securing an available healthcare workforce is critical to respond to coronavirus disease 2019 (COVID-19); however, research investigating Korea's COVID-19 staffing response is rare. To present the fundamental data of healthcare staff in response to the surge in COVID-19 cases, we investigated the healthcare workforce response in Daegu, South Korea, which experienced the first largest outbreak of COVID-19 outside of China.

MATERIALS AND METHODS

In response to the COVID-19 outbreak, this retrospective cross-sectional study analyzed data on the scale and characteristics of healthcare workers (HCWs). Additionally, it analyzed the clinical and epidemiological characteristics of HCWs infected with COVID-19 in six major teaching hospitals (five tertiary and one secondary) in Daegu from January 19 to April 30, 2020.

RESULTS

During this study period, only 1.3% (n = 611) of the total hospitalized patients (n = 48,807) were COVID-19 inpatients, but they occupied 6.0% (n = 303) of the total hospital beds (n = 5,056), and 23.7% (n = 3,471) of all HCWs (n = 14,651) worked in response to COVID-19. HCWs participating in COVID-19-related works comprised 50.6% (n = 1,203) of doctors (n = 2,379), 26.3% (n = 1,571) of nurses (n = 5,982), and 11.4% (n = 697) of other HCWs (n = 6,108). Only 0.3% (n = 51) of HCWs (n = 14,651) developed COVID-19 infections from community-acquired (66.7%) or hospital-acquired (29.4%). Nurses were affected predominantly (33.3%), followed by doctors (9.8%), caregivers (7.8%), radiographers (5.9%), and others (45.1%), including nurse aides and administrative, facility maintenance, telephone appointment centers, and convenience store staff. All HCWs infected with COVID-19 recovered completely. The 32.7% (n = 333) of individuals (n = 1,018) exposed to HCWs who had COVID-19 were quarantined, and only one case of secondary transmission among them occurred.

CONCLUSION

The COVID-19 pandemic has necessitated significant staffing and facility usage, which is disproportionate to the relatively low number of COVID-19 inpatients, imposing a substantial burden on healthcare resources. Therefore, beyond the current reimbursement level of the Korean National Health Insurance, a new type of rewarding system is needed to prepare hospitals for the emerging outbreaks of infectious diseases. Keeping HCWs safe from COVID-19 is crucial for maintaining the healthcare workforce during a sudden massive outbreak. Further studies are needed to determine the standards of required HCWs through detailed research on the working hours and intensity of HCWs responding to COVID-19.

Mitigating SARS-CoV-2 Transmission in Hospitals: A Systematic Literature Review

Objectives: Hospital outbreaks of SARS-CoV-2 infection are dreaded but preventable catastrophes. We review the literature to examine the pattern of SARS-CoV-2 transmission in hospitals and identify potential vulnerabilities to mitigate the risk of infection.

Methods: Three electronic databases (PubMed, Embase and Scopus) were searched from inception to July 27, 2021 for publications reporting SARS-CoV-2 outbreaks in hospital. Relevant articles and grey literature reports were hand-searched.

Results: Twenty-seven articles that described 35 SARS-CoV-2 outbreaks were included. Despite epidemiological investigations, the primary case could not be identified in 37% of outbreaks. Healthcare workers accounted for 40% of primary cases (doctors 17%, followed by ancillary staff 11%). Mortality among infected patients was approximately 15%. By contrast, none of the infected HCWs died. Several concerning patterns were identified, including infections involving ancillary staff and healthcare worker infections from the community and household contacts.

Conclusion: Continuous efforts to train-retrain and enforce correct personal protective equipment use and regular routine screening tests (especially among ancillary staff) are necessary to stem future hospital outbreaks of SARS-CoV-2.

Risk of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Transmission Among Healthcare Workers Dining in Hospital Staff Cafeterias

BACKGROUND

Preventive measures are needed to reduce the risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection among healthcare workers (HCWs). Notably, hospital staff are usually exposed when they are unmasked. There are limited data on the risk of transmission during mealtimes at hospital staff cafeterias. We aimed to evaluate the risk of transmission in cafeterias.

METHODS

From January 2020 through September 2021, we analyzed the risk of SARS-CoV-2 transmission through closed-circuit television and radio-frequency identification tracking and follow-up testing when 33 HCWs, who were eventually diagnosed as coronavirus disease 2019 (COVID-19), ate in staff cafeterias during the infectious period. The seats were arranged so the HCWs would sit on either side without facing each other. There were no plastic barriers installed, and HCWs were encouraged not to talk during meals.

RESULTS

Three of the 119 individuals who ate at seats next (about 30 cm) to index during the period of transmission and underwent follow-up SARS-CoV-2 polymerase chain reaction tests were diagnosed with COVID-19 (2.5%; 95% confidence interval, 0.5-7.4%). Among the 98 HCWs who were investigated about talking during meals, there was a higher attack rate among those who spoke with each other than among those who did not (12.5% [3/24] vs. 0% [0/74], P = 0.013).

CONCLUSION

The risk of transmission in a hospital's employee cafeterias is not high with side-by-side seating, especially in the absence of conversation.