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1.
Microbiol Spectr ; : e0307622, 2023 Mar 28.
Article in English | MEDLINE | ID: covidwho-2268090

ABSTRACT

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants continue to emerge during the ongoing coronavirus disease 2019 (COVID-19) pandemic. Contrasting studies on the omicron variant have demonstrated higher viral loads in different clinical specimens, which is consistent with its high transmissibility. We investigated the viral load in clinical specimens that were infected with the SARS-CoV-2 wild-type, delta, and omicron variants, and we analyzed the diagnostic accuracy of upper and lower respiratory specimens for these variants. We performed nested reverse transcription (RT)-polymerase chain reaction (PCR), targeting the spike gene and sequencing for variant classification. RT-PCR was performed using upper and lower respiratory specimens, including saliva from 78 COVID-19 patients (wild-type, delta, and omicron variants). A comparison of the sensitivity and specificity, using the area under the receiver operating characteristic curve (AUC) values from the N gene, showed that the omicron variant saliva samples had a higher sensitivity (AUC = 1.000) than did the delta (AUC = 0.875) and the wild-type (AUC = 0.878) variant samples. The sensitivity of the omicron saliva samples was greater than that of the wild-type nasopharynx and sputum samples (P < 0.001). The viral loads of the saliva samples containing the wild-type, delta, and omicron variants were 8.18 × 105, 2.77 × 106, and 5.69 × 105, respectively, which did not differ significantly (P = 0.610). Statistically significant differences were not observed in the saliva viral loads between vaccinated and nonvaccinated patients who were infected with the omicron variant (P = 0.120). In conclusion, omicron saliva samples had higher sensitivity than did wild-type and delta samples, and the viral load did not significantly differ between vaccinated and nonvaccinated patients. Further research is necessary to elucidate the mechanisms underlying the sensitivity differences. IMPORTANCE Owing to the vast heterogeneity of the studies focused on the correlation between the SARS-CoV-2 omicron variant and COVID-19, accurate comparisons of the specificity and sensitivity of samples and associated outcomes are still inconclusive. Moreover, limited information is available on the leading causes of infection and the factors that are associated with the conditions that underlie the spread of infection. Although several studies have contributed important knowledge regarding infectious specimens, the impact of saliva samples remains unknown. This study showed that the sensitivity of the omicron variant saliva samples was higher than that of the wild-type nasopharyngeal and sputum samples. Moreover, neither vaccinated nor nonvaccinated patients who were infected with the omicron variant showed any significant differences in SARS-CoV-2 viral loads. Hence, this study is an important step toward understanding how saliva sample results are correlated with other specimen results, regardless of the vaccination status of patients who are infected with the SARS-CoV-2 omicron variant.

2.
Epidemiol Health ; 43: e2021024, 2021.
Article in English | MEDLINE | ID: covidwho-1273605

ABSTRACT

OBJECTIVES: A coronavirus disease 2019 (COVID-19) outbreak triggered by religious activities occurred in Daegu, Korea in February 2020. This outbreak spread rapidly to the community through high-risk groups. This study describes the characteristics of COVID-19 cases based on S religious group membership and summarizes the Daegu municipal government's processes and responses to control the outbreak. METHODS: The epidemiological characteristics of confirmed cases were obtained through basic and in-depth epidemiological surveys. General characteristics, the proportion of asymptomatic cases, the case-fatality rate, and the time-to-event within each group were presented after stratifying confirmed cases according to S religious group membership. RESULTS: Overall, 7,008 COVID-19 cases were confirmed in Daegu from February 18, 2020 to June 30, 2020, and 61.5% (n= 4,309) were S religious group members. Compared with non-members, members had a higher proportion of female (p< 0.001) and younger age (p< 0.001), as well as lower disease prevalence. At the time of the investigation, 38.4% of cases in members were asymptomatic versus 23.7% of cases in non-members (p< 0.001). The case-fatality rate of non-members aged ≥ 60 years was significantly higher than that of members (p< 0.001). Compared with non-members, members had longer intervals from symptom onset to diagnosis (p< 0.001) and from diagnosis to admission (p< 0.001), and a shorter interval from admission to discharge (p< 0.001). CONCLUSIONS: The epidemiological features of S religious group members, including the proportion of asymptomatic cases, case-fatality rate, and time-to-event, differed from non-members. The Daegu authorities prevented further COVID-19 spread through immediate isolation and active screening tests of all S religious group members.


Subject(s)
COVID-19/epidemiology , Disease Outbreaks , Epidemiological Monitoring , Religion , Adolescent , Adult , Aged , Aged, 80 and over , Child , Child, Preschool , Female , Humans , Infant , Infant, Newborn , Male , Middle Aged , Republic of Korea/epidemiology , Young Adult
3.
Am J Infect Control ; 49(10): 1256-1261, 2021 10.
Article in English | MEDLINE | ID: covidwho-1272281

ABSTRACT

OBJECTIVES: Superimposed multi-drug resistant organisms (MDROs) co-infection can be associated with worse outcomes in patients with severe coronavirus disease 2019 (COVID-19), even if these patients were managed with strict airborne and contact precautions. Identifying risk factors for isolation of MDROs is critical to COVID-19 treatment. METHODS: All eligible adult patients with confirmed COVID-19 pneumonia from 10 hospitals in the Republic of Korea between February 2020 and May 2020 were retrospectively enrolled. Using this cohort, epidemiology and risk factors for isolation of MDROs were evaluated. RESULTS: Of 152 patients, 47 with microbial culture results were included. Twenty isolates of MDROs from 13 (28%) patients were cultured. Stenotrophomonas maltophilia (5 isolates) was the most common MDRO, followed by methicillin-resistant staphylococcus aureus (4 isolates). MDROs were mostly isolated from sputum samples (80%, 16/20). The median time from hospitalization to MDRO isolation was 28 days (interquartile range, 18-38 days). In-hospital mortality was higher in patients with MDRO isolation (62% vs 15%; P = .001). Use of systemic corticosteroids after diagnosis of COVID-19 (adjusted odds ratio [aOR]: 15.07; 95% confidence interval [CI]: 2.34-97.01; P = .004) and long-term care facility (LTCF) stay before diagnosis of COVID-19 (aOR: 6.09; 95% CI: 1.02-36.49; P = .048) were associated with MDRO isolation. CONCLUSIONS: MDROs were isolated from 28% of COVID-19 pneumonia patients with culture data and 8.6% of the entire cohort. Previous LTCF stay and adjunctive corticosteroid use were risk factors for the isolation of MDROs. Strict infection prevention strategies may be needed in these COVID-19 patients with risk factors.


Subject(s)
COVID-19 Drug Treatment , Methicillin-Resistant Staphylococcus aureus , Pharmaceutical Preparations , Adult , Drug Resistance, Multiple, Bacterial , Humans , Retrospective Studies , Risk Factors , SARS-CoV-2
4.
J Korean Med Sci ; 36(1): e12, 2021 Jan 04.
Article in English | MEDLINE | ID: covidwho-1007021

ABSTRACT

BACKGROUND: A coronavirus disease 2019 (COVID-19) outbreak started in February 2020 and was controlled at the end of March 2020 in Daegu, the epicenter of the coronavirus outbreak in Korea. The aim of this study was to describe the clinical course and outcomes of patients with COVID-19 in Daegu. METHODS: In collaboration with Daegu Metropolitan City and Korean Center for Diseases Control, we conducted a retrospective, multicenter cohort study. Demographic, clinical, treatment, and laboratory data, including viral RNA detection, were obtained from the electronic medical records and cohort database and compared between survivors and non-survivors. We used univariate and multi-variable logistic regression methods and Cox regression model and performed Kaplan-Meier analysis to determine the risk factors associated with the 28-day mortality and release from isolation among the patients. RESULTS: In this study, 7,057 laboratory-confirmed patients with COVID-19 (total cohort) who had been diagnosed from February 18 to July 10, 2020 were included. Of the total cohort, 5,467 were asymptomatic to mild patients (77.4%) (asymptomatic 30.6% and mild 46.8%), 985 moderate (14.0%), 380 severe (5.4%), and 225 critical (3.2%). The mortality of the patients was 2.5% (179/7,057). The Cox regression hazard model for the patients with available clinical information (core cohort) (n = 2,254) showed the risk factors for 28-day mortality: age > 70 (hazard ratio [HR], 4.219, P = 0.002), need for O2 supply at admission (HR, 2.995; P = 0.001), fever (> 37.5°C) (HR, 2.808; P = 0.001), diabetes (HR, 2.119; P = 0.008), cancer (HR, 3.043; P = 0.011), dementia (HR, 5.252; P = 0.008), neurological disease (HR, 2.084; P = 0.039), heart failure (HR, 3.234; P = 0.012), and hypertension (HR, 2.160; P = 0.017). The median duration for release from isolation was 33 days (interquartile range, 24.0-46.0) in survivors. The Cox proportional hazard model for the long duration of isolation included severity, age > 70, and dementia. CONCLUSION: Overall, asymptomatic to mild patients were approximately 77% of the total cohort (asymptomatic, 30.6%). The case fatality rate was 2.5%. Risk factors, including older age, need for O2 supply, dementia, and neurological disorder at admission, could help clinicians to identify COVID-19 patients with poor prognosis at an early stage.


Subject(s)
COVID-19/epidemiology , SARS-CoV-2 , Adolescent , Adult , Aged , Aged, 80 and over , Asymptomatic Infections/epidemiology , COVID-19/mortality , Child , Child, Preschool , Disease Outbreaks , Female , Humans , Infant , Infant, Newborn , Male , Middle Aged , Proportional Hazards Models , Republic of Korea/epidemiology , Retrospective Studies , Young Adult
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