Polymerase Chain Reaction Test Research Articles

Effects of COVID-19 pandemic on epidemiological features of viral respiratory tract infections in children: a single-centre study.

The epidemiology of respiratory infections may vary depending on factors such as climate changes, geographical features, and urbanization. Pandemics also change the epidemiological characteristics of not only the relevant infectious agent itself but also other infectious agents. This study aims to assess the impact of the COVID-19 pandemic on the epidemiology of viral respiratory infections in children. We retrospectively reviewed the medical records of children aged ≤18years with laboratory-confirmed viral respiratory infections other than COVID-19 from January 2018 to March 2023. Data on demographic characteristics, month and year of admission, and microbiological results were collected. During the study period, 1,829 respiratory samples were sent for polymerase chain reaction testing. Rhinovirus was identified in 24% of the patients, mixed infections in 21%, influenza virus in 20%, and respiratory syncytial virus in 12.5%. A 38.6% decrease in viral respiratory infections was observed in 2020, followed by a 188% increase in 2021. The respiratory syncytial virus was significantly more common in the post-pandemic period (13.8%) compared to the pre-pandemic period (8.1%), but no seasonal shift in respiratory syncytial virus infection was observed. There was also a yearly increase in influenza infections in the post-pandemic period compared to the pre-pandemic period. After the COVID-19 pandemic, the frequency of parainfluenza virus infections increased during the summer months, and this finding provides a new contribution to the existing literature.

Does infection with COVID-2019 during labor increase the risk for obstetric anal sphincter injuries?

To investigate the association between coronavirus disease 2019 (COVID-19) infection during the peripartum period and obstetric anal sphincter injuries (OASIS). A retrospective cohort study was conducted, including all singleton vaginal deliveries and cesarean deliveries due to failed vacuum extraction, between June 2020 and January 2022 at a large tertiary medical center. OASIS complication during childbirth was compared between women with and without peripartum diagnosis of COVID-19, defined as a positive polymerase chain reaction test obtained within 1 week before delivery or up to 3 days after delivery. Universal screening for COVID-19 was implemented. A logistic regression model was used to adjust for confounding variables. The study included 22 911 women, among whom 468 (2.0%) tested positive for COVID-19 and 22 443 women had no COVID-19 diagnosis. After adjusting for confounding variables, peripartum infection with COVID-19 was found to be independently associated with OASIS (adjusted odds ratio 4.38, 95% confidence interval 2.00-9.61; P < 0.001). Infection with COVID-19 during the peripartum period significantly increases the risk for OASIS by more than fourfold. These findings emphasize the importance of understanding the impact of COVID-19 on birth complications, such as OASIS, to improve public health measures and enhance obstetric outcomes during pandemics.

Risk of SARS-CoV-2 infection in healthcare workers with insufficient use of personal protective equipment in Denmark.

The aim was to evaluate the role of insufficient use of personal protective equipment (PPE) in SARS-CoV-2 transmission risk for healthcare workers (HCW) during the COVID-19 pandemic. Prospective study within the COBRA cohort, including 15,127 HCW. Daily assessment of insufficient use of PPE, defined as self-reported PPE failure or noncompliance, in relation to SARS-CoV-2 infection ascertained by polymerase chain reaction (PCR) test. Statistical analysis involved calculating incidence rate ratios with 95% confidence intervals (CI). The included HCW contributed to 780,515 risk days including 67,723 d (8.7%) with insufficient PPE use and 133 events (positive PCR test). Self-reported insufficient use of PPE was slightly associated with infection with COVID-19 in HCW, but the data were statistically consistent with parameter values ranging from a protective effect to a to a doubling in risk (IRR 1.3, 95% CI 0.8; 2.3). Sensitivity analyses restricted to high-risk departments and to a period with a sufficient supply of PPE and a fully developed testing system, respectively, confirmed these findings. Insufficient use of PPE among HCW during the pandemic in Denmark was uncommon but associated with a slightly increased risk of COVID-19 among HCW. However, the findings are uncertain due to the limited number of cases and the potential for misclassification bias stemming from the self-reported nature of the exposure.

The effectiveness of liver function tests in the prediction of mortality in patients with COVID-19

Objective: To evaluate the impact of liver function test abnormalities on mortality in critically ill coronavirus disease-2019 patients. Method: The single-centre, retrospective study was conducted at the Department of Anaesthesiology and Reanimation, Mersin City Training and Research Hospital, Turkiye, and comprised data from March 2020 to January 2022 of patients with positive real-time reverse transcription polymerase chain reaction test on nasopharyngeal swab sample for coronavirus disease-2019. Comorbidities, demographic data, admission to and discharge from the intensive care unit, Acute Physiology and Chronic Health Evaluation II scores, complete blood count on the first and second day of hospitalisation, coagulation parameters, biochemical analysis, 7-day, 28-day and total mortality of the patients in the intensive care unit were recorded. The patients were then divided into groups, with Group 1 having patients with normal liver enzymes, Group 2 having patients with abnormal liver enzymes, and Group 3 having patients with liver damage. Data was analysed using SPSS 20. Results: Of the 940 subjects, 587(62.4) were males and 353(37.6) were females. The overall mean age of the patients was 67.11±16.65 years. There were 395(42%) patients in Group 1, 534(56.8%) in Group 2 and 11(1.2%) in Group 3. Gamma-glutamyl transferase-1s, aspartate aminotransferase-2nd and albumin-2nd were significant predictors of mortality (p&lt;0.05). Conclusion: High gamma-glutamyl transferase, aspartate aminotransferase and low albumin levels in critically ill coronavirus disease-2019 patients could be considered indicators of high mortality rate. Key Words: Coronavirus, Critical illness, Liver function test, Pandemic.

Long COVID-19 and Coexistence of Fatigue and Depression: A Cross-sectional Study from Saudi Arabia.

Coronavirus disease 2019 (COVID-19) is associated with various manifestations even after infection resolution. This study aimed to assess the prevalence of post-COVID-19 fatigue and its predictors. We conducted a nationwide cross-sectional study among Polymerase Chain Reaction test confirmed COVID-19 cases in Saudi Arabia from July 2021 to February 2022. We collected data through telephonic interviews covering socio-demographics, comorbidities, body mass index, smoking, illness severity, and COVID-19 vaccination status. We assessed fatigue using Fatigue Severity Scale while depression was assessed using Patient Health Questionnaire-2. Logistic regression was employed to analyze the relationship between post-COVID-19 fatigue and depression. The analysis included 361 participants with a mean age of 37 ± 10.5 years, among whom 43% were female. Approximately 10% had comorbidities, and 21% were current smokers. Nearly two-thirds (68%) of the participants reported mild illness. The prevalence of perceived fatigue was 22.7%, while fatigue measured by the Fatigue Severity Scale was 14.4%. The multivariable logistic regression model revealed that COVID-19 severity and depression were significant predictors of post-COVID-19 fatigue; adjusted odds ratio 1.87 (95% CI: 1.10 to 3.18) and 14.3 (95% CI: 4.55 to 45.0), respectively. Our findings suggest a higher prevalence of perceived fatigue compared to that measured by the Fatigue Severity Scale, underscoring the importance of using a valid assessment tool for fatigue among COVID-19 patients to ensure proper management. The significant association between post-COVID-19 fatigue and depression highlights the need for psychological assessment of COVID-19 patients to enhance their post-infection quality of life.

Avian astrovirus caused mortality in pheasant (Phasianus colchicus, Linnaeus, 1758) farm inHungary.

We present the clinical symptoms, pathologic lesions and diagnostic possibilities of the avian astrovirus-related mortality in a pheasant colony. In addition to enteritis in chicks, we also confirmed acute nephrosis. The genome section of the astrovirus was detected and verified by polymerase chain reaction (PCR) testing. After sequencing the isolated genome section based on BLAST driver analysis (601-base pair-long) avian astrovirus has the same ORF-1b gene as turkey astrovirus 1 (TAstV1).

Sociodemographic differences in the response to changes in COVID-19 testing guidelines.

During the coronavirus disease 2019 (COVID-19) pandemic, Sweden emphasized voluntary guidelines over mandates. We exploited a rapid change and reversal of the Public Health Agency of Sweden's COVID-19 testing guidelines for vaccinated and recently infected individuals as a quasi-experiment to examine sociodemographic differences in the response to changes in pandemic guidelines. We analyzed daily polymerase chain reaction tests from 1 October 2021 to 15 December 2021, for vaccinated or recently infected adults (≥20 years; n = 1596321) from three Swedish regions (Stockholm, Örebro, and Dalarna). Using interrupted time series analysis, we estimated abrupt changes in testing rates at the two dates when the guidelines were changed (1 November and 22 November). Stratified analysis and meta-regression were employed to explore sociodemographic differences in the strength of the response to the guideline changes. Testing rates declined substantially when guideline against testing of vaccinated and recently infected individuals came into effect on 1 November [testing rate ratio: 0.50 (95% confidence interval, CI 0.41, 0.61)], and increased again from these lowered levels by a similar amount upon its reversal on 22 November [testing rate ratio: 2.19 (95% CI: 1.69, 2.85)]. Being Sweden-born, having higher household income, or higher education, were all associated with a stronger adherent response to the guideline changes. Adjusting for stratum-specific baseline testing rates and test-positivity did not influence the results. Our findings suggest that the population was responsive to the rapid changes in testing guidelines, but with clear sociodemographic differences in the strength of the response.

Acute coronary syndrome or cardiac involvement due to leptospirosis: A case report

Leptospirosis is a globally prevalent zoonotic infection. Cardiac involvement in leptospirosis, including myocarditis, can be easily missed due to non-specific symptoms and concurrent multiorgan dysfunction. A 46-year-old male presented to the emergency department with weakness, fever, palpitations, and widespread joint and muscle pain. His temperature was 40&amp;deg;C, and his blood pressure dropped to 50/30 mm Hg. The patient, with elevated high-sensitivity troponin levels in laboratory findings, was referred to the cardiology department. Anti-ischemic treatment was started for a preliminary diagnosis of acute coronary syndrome. The leptospirosis polymerase chain reaction (PCR) test in serum was positive, whereas the urine Leptospira PCR test was negative. The patient presented with septic shock and elevated cardiac biomarkers and was re-evaluated based on electrocardiogram and echocardiogram findings. Considering these clinical and laboratory results, acute coronary syndrome was ruled out, and myocardial involvement due to leptospirosis was considered. This case highlights the importance of recognizing cardiac involvement in leptospirosis.

Epidemiology of Morbidity and Mortality of COVID-19 Patients During the Period of June 2020-September 2021 in Sulianti Saroso Infectious Disease Hospital, Indonesia.

The increasing mortality rate of COVID-19 has remained an international public health concern. Limited studies on clinical treatment and morbidity in hospital settings are available in Indonesia. This present study aims to analyse demographic characteristics, clinical signs and treatment in COVID-19 patients and their association to the mortality case in Sulianti Saroso Infectious Disease Hospital. The study applied a retrospective cohort approach to all COVID-19 inpatients confirmed by polymerase chain reaction (PCR) testing in Sulianti Saroso Infectious Disease Hospital from 1 June 2020 to 30 September 2021. Overall survival rates until the end of the study were calculated using the Kaplan-Meier method and compared using the log-rank test. A Cox regression model was used to evaluate the crude and adjusted hazard ratios for associated factors. We collected 1,970 inpatient data that met our inclusion and exclusion criteria. Most of them were 19 years old-59 years old (73.2%) and male (52.6%), and 966 (49%) patients had comorbidities. Approximately 63.9%, 89.2%, 89.8%, 82%, and 14.1% of the patients had ferritin levels ≤ 800, received antiviral treatment, were treated in non-intensive wards, had a moderate or mild clinical stage and did not survive, respectively. In the adjusted analysis, mortality was associated with sex (hazard ratio [HR]: 1.12; 95% CI: 1.02, 1.23), presence of comorbidity (HR: 1.19; 95% CI: 1.08, 1.30) and favipiravir (FPV) plus azithromycin treatment (HR: 1.21; 95% CI: 1.06,1.39). FPV treatment (HR: 1.35; 95% CI: 1.04, 1.75) was associated with higher mortality. Tailored approaches to treatment, considering individual risk factors and comorbidities, are crucial in improving patient outcomes.

Post–COVID-19 Condition Fatigue Outcomes Among Danish Residents

Fatigue remains one of the most common and debilitating symptoms of post-COVID-19 condition; however, existing studies are limited to select populations and often lack noninfected controls. It also remains unclear to what extent severity of infection and psychiatric conditions, which are often linked to chronic fatigue, modify the risk of post-COVID-19 condition fatigue symptoms. To evaluate the impact of SARS-CoV-2 infection on self-reported fatigue and postexertional malaise over time and to explore possible risk factors, such as the impact of acute SARS-CoV-2 hospitalization and preexisting psychiatric conditions on postacute fatigue. In this cohort study, Danish residents aged 15 years and older were invited to participate in the EFTER-COVID survey, which used repeated, self-reported online questionnaires that collected information on fatigue (Fatigue Assessment Scale) and postexertional malaise scores (DePaul Symptom Questionnaire) after individuals' index SARS-CoV-2 polymerase chain reaction test. Participants were included if they completed a baseline and at least 1 follow-up questionnaire 2 to 18 months after testing for SARS-CoV-2. Testing for SARS-CoV-2 infection. The primary outcomes were fatigue and postexertional malaise 2 to 18 months after testing. Mixed-effects models were used to compare scores between SARS-CoV-2 test-positive and test-negative individuals (testing period April 2021 to February 2023). Of a total of 50 115 participants (median [IQR] age at test date, 57 [46-67] years; 29 774 female [59.4%]), 25 249 were test positive and 24 866 were test negative. Most participants were vaccinated with at least 2 doses (21 164 test-negative participants [85.1%] and 22 120 test-positive participants [87.6%]) before their SARS-CoV-2 index test and fatigue reporting. In the period 2 to 18 months after testing, SARS-CoV-2 infection was associated with a small but significant 3% increase in self-reported fatigue scores (score ratio [SR], 1.03; 95% CI, 1.03-1.04) and higher odds of self-reported postexertional malaise (odds ratio, 2.04; 95% CI, 1.81-2.30), compared with test-negative participants. In the same period, hospitalization with SARS-CoV-2 increased fatigue scores by 23% (SR, 1.23; 95% CI, 1.20-1.26) compared with test-negative participants. Preexisting psychiatric conditions did not significantly modify postacute fatigue scores. In this cohort study, SARS-CoV-2 infection was associated with a subtle increase in self-reported fatigue and postexertional malaise symptoms 2 to 18 months after mild infection. In contrast, individuals hospitalized with acute SARS-CoV-2 experienced a more substantial increase in postacute symptoms. Preexisting psychiatric conditions did not significantly modify the risk of postacute fatigue symptoms. The findings largely captured symptoms following first-time infections in a population where most had been vaccinated. Persons who experienced severe acute infection may benefit from clinical follow-up for fatigue.

Deep learning on chest X-ray and computed tomography scans for detection of COVID-19 as a part of a network-centric digital health stack for future pandemics

Developing a reliable rapid screening protocol for highly infectious diseases like COVID-19 is of paramount interest since it facilitates the isolation of infected patients from the rest of the population. Reverse-transcription polymerase chain reaction (RT-PCR) test is presently the most widely accepted gold-standard test to detect COVID-19. In this method, the RNA of the virus is duplicated by a process called reverse transcription to form DNA for facilitating the copying process. Fluorescent dye is attached to the viral genetic material and copied billions of times through the process called polymerase chain reaction. Enhanced fluorescence is used to identify the presence of genetic material of the virus. These tests are time-consuming and have significant false negatives, i.e., a person with COVID-19 might be categorized as not having the virus. Large-scale RT-PCR testing has its own share of problems such as logistics, availability and affordability in underdeveloped nations, and reliability of the test results. Machine learning algorithms can act as a cheaper supplementary/alternative diagnostic tool for the testing process. In the current study, using publicly available chest X-ray image datasets, different convolutional neural network (CNN)-based models were developed for efficient identification of COVID-19 infected patients, and their efficacies were compared. Key innovations in training the CNNs are discussed. Our results indicate that EfficientNet, SeResNext, and ResNet are best at classifying normal, pneumonia and COVID-19 cases, respectively. The ResNet architecture with transfer learning performed best at detecting COVID-19 with an accuracy of 94%, a rate far superior to that in the RT-PCR test, which is typically in the range of 70 &amp;ndash; 80%. This is particularly attractive as an additional noninvasive protocol since such technology-augmented detection is likely to help in reducing the psychological refractory period due to COVID-19 infections. Toward the healthy lung initiative in the post-COVID-19 era, we propose close coupling of the present diagnostic protocols with digital approaches to ensure more reliable personal care within the ambit of large-scale pandemic control mechanisms. Such integration with emerging technological tools can create a benchmark for the first line of defense against future global pandemics.

Comprehensive Investigation of Demographic, Clinical, and Paraclinical Findings in Hospitalized Children with COVID-19

Background: Given the differing characteristics of COVID-19 in children compared to adults, there is a need for comprehensive investigations of associated factors in hospitalized children. Objectives: Therefore, we aimed to assess demographic, clinical, and paraclinical findings in hospitalized children with COVID-19. Methods: This study divided hospitalized patients aged three months to 18 years with a positive polymerase chain reaction (PCR) test into two groups: Severe and mild cases. Risk factors, including age, sex, weight, place of residence, clinical symptoms, lung involvement in chest X-rays, and laboratory parameters, were compared between these two groups (mild and severe). Results: The study included 375 hospitalized patients (75 severe and 300 mild cases). The mean age was 7.50 ± 5.57 months. Among the patients, 215 males (58%) were enrolled. Severe cases exhibited a higher frequency of sleepiness (40%) and shortness of breath (41.3%). Clinical signs such as respiratory rate (35 breaths/min) and heart rate (120 bpm) were higher in severe cases, while blood oxygen levels (92%) were lower. Severe cases also showed higher lung involvement in radiographs (85.7%). Among laboratory factors, white blood cell count (8650), neutrophils (6762), and lymphocytes (2090) were higher in severe cases, while alkaline phosphatase (320.5) was lower. Conclusions: Our results highlighted key findings regarding demographic, clinical, and paraclinical features in hospitalized children with COVID-19, offering valuable insights into this novel phenomenon. The study recommends close monitoring of patients with symptoms such as shortness of breath and sleepiness to prevent disease progression to a severe state.

Noninvasive, microbiome-based diagnosis of inflammatory bowel disease.

Despite recent progress in our understanding of the association between the gut microbiome and inflammatory bowel disease (IBD), the role of microbiome biomarkers in IBD diagnosis remains underexplored. Here we developed a microbiome-based diagnostic test for IBD. By utilization of metagenomic data from 5,979 fecal samples with and without IBD from different geographies and ethnicities, we identified microbiota alterations in IBD and selected ten and nine bacterial species for construction of diagnostic models for ulcerative colitis and Crohn's disease, respectively. These diagnostic models achieved areas under the curve >0.90 for distinguishing IBD from controls in the discovery cohort, and maintained satisfactory performance in transethnic validation cohorts from eight populations. We further developed a multiplex droplet digital polymerase chain reaction test targeting selected IBD-associated bacterial species, and models based on this test showed numerically higher performance than fecal calprotectin in discriminating ulcerative colitis and Crohn's disease from controls. Here we discovered universal IBD-associated bacteria and show the potential applicability of a multibacteria biomarker panel as a noninvasive tool for IBD diagnosis.

B-236 New real-time PCR test for APOE genotyping in patients with Alzheimer’s disease before anti-amyloid therapy

Abstract Background In 2023, the US Food and Drug Administration approved LEQEMBI, a monoclonal antibody therapy targeting beta-amyloid plaques, for patients with early-stage Alzheimer’s disease (AD). However, anti-amyloid drug trials demonstrated an elevated risk for amyloid-related imaging abnormalities with cerebral edema (ARIA-E) in carriers of the AD risk allele apolipoprotein E epsilon 4 (APOE-ɛ4), especially in ɛ4/ɛ4 homozygous individuals [1-3]. Here, we report on the evaluation of a new real-time polymerase chain reaction (PCR) test for APOE genotyping. Methods The EURORealTime APOE (EUROIMMUN), which enables simultaneous testing for all six APOE genotypes (ɛ2/ɛ2, ɛ2/ɛ3, ɛ2/ɛ4, ɛ3/ɛ3, ɛ3/ɛ4, and ɛ4/ɛ4) by real-time PCR, was performed using genomic DNA (gDNA) isolated from EDTA blood samples. The PCR amplification results were evaluated using the EURORealTime Analysis Software (EUROIMMUN). Samples from healthy blood donors (HBD) were used to assess intra-assay, inter-assay and between-lot precision (n=6) as well as analytical sensitivity (n=21), with each APOE genotype represented by at least one sample. Assay accuracy was analyzed by comparing genotype assignments to the results of the CE-IVD-marked EUROArray APOE (EUROIMMUN) and bidirectional Sanger sequencing using 110 samples (100 AD, 10 HBD). APOE genotype frequencies were compared between patients (100 AD) and controls (250 HBD). Results Precision testing of the EURORealTime APOE resulted in 100% correct genotype calls. Assessment of the analytical sensitivity revealed valid and correct genotype assignment in all 21 samples, confirming 1 ng/µl as the recommended minimum gDNA concentration. The analytical accuracy amounted to 100% based on agreement with the two reference methods in 110/110 cases. Comparison of the APOE genotype distribution showed a higher proportion of ɛ4 allele carriers (i.e., ɛ2/ɛ4, ɛ3/ɛ4, and ɛ4/ɛ4) in AD patients than in HBD (50.0% vs. 25.2%). The prevalence of the ɛ4/ɛ4 genotype in these cohorts was 25.0% for AD patients compared with 2.8% for HBD. Conclusions The well-established high prevalence of the APOE-ɛ4/ɛ4 genotype in AD patients, together with the increased risk of ARIA-E in these homozygous carriers, substantiates the relevance of APOE genotyping prior to anti-amyloid treatment. The EURORealTime APOE test provides sensitive and reliable determination of APOE alleles, thus presenting a suitable tool to improve risk stratification for potential LEQEMBI recipients.

A-236 Rapid multiplexed PCR (polymerase chain reaction) tests for respiratory disease improve process and time to diagnosis versus laboratory-based molecular testing

Abstract Background The Infectious Disease Society of America recommends molecular testing for symptomatic patients suspected of having COVID-19. Molecular tests can be performed at the point of care or in a centralized laboratory, using different methodologies, and can be singleplex or multiplex. Limited data are available examining the use of these tests in clinical practice and impact of different test types on patient outcomes; however, common antiviral treatments for both COVID-19 and influenza are more effective when taken earlier and are not indicated for use more than 5 and 2 days after symptom onset, respectively. The aim of this study was to describe the diagnostic journey for non-inpatients who received molecular testing for respiratory pathogens in the laboratory versus those who received testing using a rapid, multiplexed real-time RT-PCR test that can be performed at the point of care. Methods De-identified administrative claims were analyzed from July 1, 2020 through September 30, 2022 for commercially insured and Medicare Advantage enrollees in the Optum Labs Data Warehouse. Patients with ≥1 medical claim for a non-inpatient visit with a procedure code for testing for SARS-CoV-2 were identified; patients who received antigen testing at index were excluded. Patients were followed for up to 90 days. Two patient groups were selected for the final study sample: 1) Patients with ≥1 claim with CPT code 0240U or 0241U with a point-of-care or laboratory place of service on the index date (proprietary laboratory analyses codes for Xpert® Xpress CoV-2/Flu/RSV, or “Xpert Xpress”); and 2) Patients with other laboratory-based molecular testing on the index date. Standardized difference of &amp;gt;0.10 or &amp;lt;-0.10 was considered a significant imbalance in proportions or means. Results In total, 51,602 patients received testing with Xpert Xpress while 317,192 received laboratory testing. Patients who were tested with Xpert Xpress were significantly older (mean 49.82 vs 42.19, SD 0.3), had a higher Charlson Comorbidity Index (mean 0.7 vs 0.35, SD 0.29), and were more likely to have a respiratory risk factor (6.09% vs 2.38%, SD 0.19). On average, patients who were tested with Xpert Xpress had significantly fewer tests for SARS-CoV-2 on the index date (mean 1.2 vs 1.58, SD -0.55), and fewer tests for SARS-CoV-2, influenza, or RSV on the index date and through the end of the 90-day fixed follow-up period (mean 1.64 vs 2.57, SD -0.45). They were also significantly more likely to be diagnosed with COVID-19 on the index date (23.31% vs 16.53%, SD 0.17). Among patients with a diagnosis for COVID-19, mean time to diagnosis was significantly shorter among patients tested with Xpert Xpress (4.85 vs 8.86 days, SD -0.27; median 0 vs 4 days). This finding was also consistent for influenza (4.05 vs 20.28 days, SD -0.74; median 0 vs 5 days). Conclusions Testing with Xpert Xpress at index resulted in fewer total tests and faster diagnosis compared to testing in the laboratory. Rapid, multiplex PCR testing provides a faster time to diagnosis and may support more appropriate and effective treatment.

Prospective observational study on scar sequelae after MPOX infection: an analysis of 40 patients.

Monkeypox (MPOX) caused a public health emergency of international concern (PHEIC) outbreakbetween 2022 and 2023, with a recent rise in cases that prompted the World Health Organization (WHO) to declare the disease a PHEIC once again. There is little information on its long-term scarring sequelae. The objective of this study was to assess the risk and characteristics of scarring in patients with MPOX in a tertiary hospital. This is a prospective cohort study including patients diagnosed using polymerase chain reaction (PCR) tests. Clinical data were collected and followed up at 12-15 months to assess scarring and its impact on quality of life. Of the 40 patients, 19 (47.5%) developed scars, which were more common in those with initial cutaneous manifestations. Scars significantly affected the quality of life, especially in the genital and mucosal areas. The limited sample and loss to follow-up may affect the validity of the results. Scarring is a frequent and disfiguring sequela of MPOX, particularly in patients with early skin symptoms. Prevention and close follow-up are crucial in mitigating these complications.

A-279 Performance Evaluation of the Respiratory Viral for BD MAX™ System in Geriatric Population

Abstract Background Respiratory Viral Infection is one of the most common infection in the geriatric population and cause major concern in the Long-Term Care Facilities. Influenza A and B, SARS-CoV-2, and respiratory syncytial virus (RSV) are responsible for most of the hospitalization and deaths among elderly patients. Rapid identification, treatment, and isolation are among the most important steps to fight the spreading of the infection. Methods The BD Respiratory Viral Panel for BD MAX™ System is an automated multiplexed real-time reverse transcriptase polymerase chain reaction (RT- PCR) test intended for the simultaneous, qualitative detection and differentiation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza A, influenza B, and/or respiratory syncytial virus (RSV) nucleic acid in nasopharyngeal swab (NPS) and anterior nasal swab (ANS) specimens from individuals with signs and symptoms of respiratory tract infection. The assay is targeting RNA from the nucleocapsid phosphoprotein gene (N1 and N2 regions) of the SARS-CoV-2, a conserved region of the matrix protein M1 gene for influenza A, conserved regions of the matrix protein M1 gene and HA gene for influenza B, conserved regions of the N and M genes for RSV, and the human RNase P gene. The assay was evaluated for: precision, reproducibility, accuracy, and correlation with BioGx for SARS-CoV-2, Solana (Quidel) for influenza A, influenza B and RSV; the percentage agreement for the evaluation steps was calculated. We ran 86 samples collected from patients residing in Long-Term Care Facilities. Statistical analyses were done using Analyse-it. Results The percentage agreement for precision, reproducibility, and accuracy were 100%. The patients’ correlation was 100% when compared to the existing molecular testing in the laboratory. Female patients accounted for 62.8% (54 female and 32 male); 2 patients were positive for both influenza A and RSV, and one patient was positive for both influenza A and SAR-CoV-2. Conclusions The Respiratory Viral panel for BD MAX™ System gave the benefit of a fully automated, high precision, accuracy and acceptable sensitivity assay; in addition, it offers easier collection (one swabs versus multiple swabs), faster turnaround time for four targets in less than three hours which allow for earlier isolation to prevent the spreading of the infection and initiating treatment when needed. As with every molecular assay avoiding contamination is very important to eliminated false positive results.

Modelling multiplex testing for outbreak control

During the SARS-CoV-2 pandemic, polymerase chain reaction (PCR) and lateral flow device (LFD) tests were frequently deployed to detect the presence of SARS-CoV-2. Many of these tests were singleplex, and only tested for the presence of a single pathogen. Multiplex tests can test for the presence of several pathogens using only a single swab, which can allow for: surveillance of more pathogens, targeting of antiviral interventions, a reduced burden of testing, and lower costs. Test sensitivity however, particularly in LFD tests, is highly conditional on the viral concentration dynamics of individuals. To inform the use of multiplex testing in outbreak detection it is therefore necessary to investigate the interactions between outbreak detection strategies and the differing viral concentration trajectories of key pathogens. Viral concentration trajectories are estimated for SARS-CoV-2, and Influenza A/B. Testing strategies for the first five symptomatic cases in an outbreak are then simulated and used to evaluate key performance indicators. Strategies that use a combination of multiplex LFD and PCR tests achieve; high levels of detection, detect outbreaks rapidly, and have the lowest burden of testing across multiple pathogens. Influenza B was estimated to have lower rates of detection due to its modelled viral concentration dynamics. Data availability statementThe SARS-CoV-2 viral load trajectory data may be accessed by contacting Killingley et. al. The influenza A/B viral load trajectory may be accessed at https://github.com/bcowling/pediatric-vaccine-trial/tree/master/data.

A multicenter randomized control trial: Point-of-care syndromic assessment versus standard testing in urgent care center patients with acute respiratory illness.

Syndromic assessment with multiplex polymerase chain reaction (mPCR) testing in patients with acute respiratory illness (ARI) allows for simultaneous identification of multiple possible infectious etiologies. Point-of-care (POC) syndromic assessment can be conducted in a clinical setting, such as an urgent care center (UCC), without requiring certified laboratories. The primary objective of this study was to determine whether POC syndromic assessment improved patient satisfaction for patients seen at an UCC with ARI; secondary objectives included whether syndromic assessment reduced self-isolation time, increased diagnostic confidence, and reduced overall antibiotic utilization. We conducted an unblinded multicenter randomized controlled trial on UCC patients with an ARI. Patients were randomized to either SC (defined as standard UCC testing for ARI) or syndromic assessment with POC mPCR. Patients were surveyed for patient satisfaction, self-isolation plans, diagnostic confidence, and overall antibiotic utilization. Among the 360 patients enrolled, those in the syndromic assessment group were more satisfied with the time required to communicate the results (98.4%vs. 42.4%, p<0.001) on day of treatment, more likely to resume normal activities sooner (83.3%vs. 69.4%, p=0.039), and more confident in their illness cause (60.7%vs. 29.6%, p<0.001); however, the rate of antibiotic utilization did not differ (33.5%vs. 26%, p=1.0). In conclusion, our study provides evidence supporting the use of syndromic assessment in UCCs for ARI diagnosis, including patient-centered outcomes such as greater confidence in diagnosis and more efficient isolation strategies. This study did not show a difference in more clinically oriented outcomes, such as a change in antibiotic utilization. Future studies should identify clinical care pathways to improve antibiotic stewardship for likely viral syndromes and whether the increased initial cost of syndromic assessment is offset by the clinical benefits and subsequent cost savings.

Persistence of Coronavirus Disease 2019 Symptoms in Postacute Phase: Does Age, Sex, Comorbidities, and Severity of Infection Have an Impact?

Post-coronavirus disease (COVID) persistence of symptoms and the development of complications have become frequently encountered clinical problems due to multiple waves of the pandemic over the past 3 years across the world. Identifying risk factors would enable us to direct our limited resources toward the subgroups requiring long-term follow-up and treatment. With this prospective observational study, we aim to establish a statistical correlation between the persistence of symptoms and four of the most attributed risk factors for prolonged recovery: severity of acute illness, elderly age, presence of multiple comorbidities, and female gender in the Indian population. Three hundred patients with positive COVID reverse transcription polymerase chain reaction (RTPCR) or antigen tests were enrolled over 10 months (from December 2020, after obtaining ethical clearance, to October 2021). Symptoms were recorded at baseline and followed up with a predesigned questionnaire to assess their persistence at 1-, 2-, and 4-month intervals post-COVID recovery. Appropriate statistical analysis [Pearson's correlation/analysis of variance (ANOVA) test] was used to establish the correlation between the persistence of symptoms and their severity with the presence of risk factors. Severity of acute illness was the single most important determining factor of persistence of symptoms as well as their severity in our study (p < 0.001) at each follow-up interval. The correlation observed between average number or severity of persistent symptoms increased with female gender, increasing age-group and presence of multiple comorbidities was not significant statistically (p > 0.05) with exception of persistent fatigue in females at 2-month interval. Persistent symptoms and its prevalence recorded so far represents tip of the iceberg of patients suffering with long COVID. Patients with history of severe acute illness should be followed up closely for prompt identification and rehabilitation of these cases as it had maximum bearing on the outcome of these patients.