Detection of SARS-CoV-2 antibodies among the pre-vaccine population in Bali

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, the cause of coronavirus disease 2019 (COVID-19), has affected millions of people globally. It is a very contagious disease with various clinical manifestations. However, even in asymptomatic patients, it is believed that this virus exposure induces cryptic antibodies as in symptomatic patients. This current study aims to assess the prevalence of SARS-CoV-2 seropositivity by detecting the antibodies specific to the receptor-binding domain (SRBD) of SARS-CoV-2 in the pre-vaccine population in Bali. We assessed specific antibody titers against trimeric spike glycoprotein (S) of SARS-CoV-2 using Roche Elecsys Anti-SARS-CoV-2 S immunoassay in the serum of 510 pre-vaccine subjects without a previous documented history of SARS-CoV-2 infection. The average age was 35.53 years with 56.7% of the subjects being male. Among 510 subjects, 190 (37.3%) subjects were detected to have SARS-CoV-2 SRBD antibody or be seropositive. The range of the antibody titer was zero to 250 U/mL with the average being 44.3 U/mL. The number of subjects who had anti-SARS-Cov-2 SRBD titer above 132 U/mL was 76 (14.9%);it was the minimal antibody titer needed to donate plasma for plasma convalescent therapy. This study revealed a pre-vaccination population, without a history of COVID-19 infection, with seropositivity to SARS-CoV-2, which indicates the underdiagnosis of COVID-19, especially in asymptomatic individuals.

The role of CD4+, CD8+, CD4+/CD8+ and neutrophile to lymphocyte ratio in predicting and determining COVID-19 severity in Indonesian patients.

BACKGROUND: Biomarkers that are cost-effective and accurate for predicting severe coronavirus disease 2019 (COVID-19) are urgently needed. We would like to assess the role of various inflammatory biomarkers on admission as disease severity predictors and determine the optimal cut-off of the neutrophile-to-lymphocyte ratio (NLR) for predicting severe COVID-19. METHODS: We conducted a cross-sectional study in six hospitals in Bali and recruited real-time PCR-confirmed COVID-19 patients aged >18 y from June to August 2020. Data collection included each patient's demographic, clinical, disease severity and hematological data. Multivariate and receiver operating characteristic curve analyses were performed. RESULTS: A total of 95 Indonesian COVID-19 patients were included. The highest NLR among severe patients was 11.5±6.2, followed by the non-severe group at 3.3±2.8. The lowest NLR was found in the asymptomatic group (1.9±1.1). The CD4+ and CD8+ values were lowest in the critical and severe disease groups. The area under the curve of NLR was 0.959. Therefore, the optimal NLR cut-off value for predicting severe COVID-19 was ≥3.55, with sensitivity at 90.9% and a specificity of 16.7%. CONCLUSIONS: Lower CD4+ and CD8+ and higher NLR values on admission are reliable predictors of severe COVID-19 among Indonesian people. NLR cut-off ≥3.55 is the optimal value for predicting severe COVID-19.

Clinical characteristics and outcomes of COVID-19 patients in Bali, Indonesia.

INTRODUCTION: The spectrum of illness and outcomes of coronavirus disease 2019 (COVID-19) patients may vary. This study reports the characteristics of COVID-19 patients in Bali, Indonesia, and evaluates the diagnostic value of their clinical symptoms. METHOD: This observational study was conducted in eight hospitals. The patients were classified as non-severe COVID-19, severe COVID-19, and non-COVID-19. Demographics, clinical, laboratory, and radiologic characteristics, and outcomes of COVID-19 patients were collected. Factors associated with the severity and outcomes were assessed using the chi-squared test or ANOVA when appropriate. We also compared the clinical features of non-severe COVID-19 and non-COVID-19 patients to evaluate the diagnostic accuracy. RESULTS: This study included 92 patients: 41 non-COVID-19 and 51 COVID-19 patients, comprising 45 non-severe and six severe cases. The most common symptoms of COVID-19 were cough (47.1%), fever (31.0%), and dyspnea (25.3%). Cough, fatigue, and anosmia have high accuracy, and combining these complaints in clinical diagnostics offered a higher accuracy in predicting COVID-19 patients (60.1%). We found lower lymphocyte counts and interleukin-1R levels and higher levels of C-reactive protein, interleukin-6, and interleukin-8 in severe compared than in non-severe COVID-19 patients. Lactate dehydrogenase was associated with intensive care unit admission and ventilator use, while other markers such as neutrophil-lymphocyte ratio, C-reactive protein, and interleukin-6 were not. CONCLUSION: A battery of symptoms, including cough, fatigue, and anosmia, is likely associated with COVID-19 in Bali. Clinicians should be aware of these symptoms to ensure a prompt diagnostic test for COVID-19, beyond other causes of acute febrile illnesses.

Molnupiravir: A lethal mutagenic drug against rapidly mutating severe acute respiratory syndrome coronavirus 2-A narrative review.

Broad-spectrum antiviral agents targeting viral RNA-dependent RNA polymerase (RdRp) are expected to be a key therapeutic strategy in the ongoing coronavirus disease 2019 (COVID-19) pandemic and its future variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes COVID-19. Molnupiravir is a nucleoside analog that in vivo experiments have been reported to inhibit the replication of SARS-CoV-2, the virus that causes COVID-19. Clinical trials of molnupiravir as a therapy for patients with mild-to-moderate COVID-19 also suggest its significant therapeutic efficacy in comparison to placebo. Molnupiravir is lethally mutagenic against viral RNA, but its effect on host cell DNA is being questioned. Herein, the safety concerns of molnupiravir are discussed with recent findings from published reports and clinical trials. The unchanged efficacy of molnupiravir against mutated SARS-CoV-2 variants is also highlighted. With its administration via the oral route, molnupiravir is expected to turn the tide of the COVID-19 pandemic.

Immunogenicity and Reactogenicity of CoronaVac: A Cohort Study

The ongoing COVID-19 pandemic remained a major public health concern despite a large-scale deployment of vaccines. One of the vaccines is CoronaVac, an inactivated vaccine. The efficacy of the vaccine was estimated at 50.7–83.5% in clinical trials. However, the real-world efficacy often differed. This study described CoronaVac post-vaccination reactogenicity and immunogenicity. Serum was collected on days 0, 28, 56 and 84 from participants who received CoronaVac in March–May 2021. Anti-SARS-CoV-2 Spike receptor binding domain was measured using an Elecsys®quantitative assay. Participants were interviewed for adverse events (AEs) one week after vaccination. Reported AEs were fatigue, fever, runny nose, headache, muscle pain, pain at injection site, and paresthesia. Females reported more incidents than males. However, the frequency was similar between immunologically naïve and pre-immune participants. In the naïve group, the antibody titer was 61.7 ±84.2 U/mL (mean ±SD) on day 28 and increased to 99.3 ±91.9 U/mL on day 56. The titer peaked on day 56 across all age groups, but a reduction of 18.0–26.3% was observed on day 84. A titer-boosting effect was observed in pre-immune participants with a baseline titer of 139.0 ±101.0 U/mL, which increased to 206.7 ±77.4 U/mL on day 28, and remained steady until day 84. Hence, CoronaVac elicited an antibody response in naïve and pre-immune participants, with mild AEs.

Pulmonary arterial hypertension post COVID-19: A sequala of SARS-CoV-2 infection?

It has been suggested that pulmonary arterial hypertension (PAH) could be a potential sequela of coronavirus disease 2019 (COVID-19) in particular in those with hypertension; however, development of PAH after the course of COVID-19 in normotensive individuals are rarely reported. Here, we report a patient who developed PAH two months post-COVID-19. The patient was a 55-year-old female and normotensive, tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), developed mild respiratory distress syndrome and necessitated continuous positive airway pressure during the treatment in the hospital. After two months discharged from the hospital with RT-PCR negative for SARS-CoV-2, the patient presented with exertional dyspnea, dry cough, fatigue and episodes of syncope during exertion. Based on clinical presentation, electrocardiography, computed tomography, and transthoracic echocardiography assessment, PAH diagnosis was made. To our knowledge, this is a rare PAH case and this highlights the possible of PAH as sequala that might present in post COVID-19 patients.

Assessment of dengue and COVID-19 antibody rapid diagnostic tests cross-reactivity in Indonesia.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic remains ongoing around the world, including in areas where dengue is endemic. Dengue and COVID-19, to some extent, have similar clinical and laboratory features, which can lead to misdiagnosis, delayed treatment and patient's isolation. The use of rapid diagnostic tests (RDT) is easy and convenient for fast diagnosis, however there may be issues with cross-reactivity with antibodies for other pathogens. METHODS: We assessed the possibility of cross-reactivity between SARS-CoV-2 and dengue antibodies by: (1) testing five brands of COVID-19 IgG / IgM RDTs on 60 RT-PCR-confirmed dengue samples; (2) testing 95 RT-PCR-confirmed COVID-19 samples on dengue RDT; and (3) testing samples positive for COVID-19 IgG and/or IgM on dengue RDT. RESULTS: We observed a high specificity across all five brands of COVID-19 RDTs, ranging from 98.3 to 100%. Out of the confirmed COVID-19 samples, one patient tested positive for dengue IgM only, another tested positive for dengue IgG only. One patient tested positive for dengue IgG, IgM, and NS1, suggesting a co-infection. In COVID-19 IgG and/or IgM samples, 6.3% of COVID-19 IgG-positive samples also tested positive for dengue IgG, while 21.1% of COVID-19 IgM-positive samples also tested positive for dengue IgG. CONCLUSION: Despite the high specificity of the COVID-19 RDT, we observed cross-reactions and false-positive results between dengue and COVID-19. Dengue and COVID-19 co-infection was also found. Health practitioners in dengue endemic areas should be careful when using antibody RDT for the diagnosis of dengue during the COVID-19 pandemic to avoid misdiagnosis.

Serological cross-reaction and coinfection of dengue and COVID-19 in Asia: Experience from Indonesia.

Similar symptoms and laboratory findings between dengue and coronavirus disease 2019 (COVID-19) pose a diagnostic challenge in some dengue-endemic countries in Asia. In this study, we reported three cases of suspected COVID-19-dengue coinfection in hospitals of Bali, Indonesia. Serological data demonstrated that patients with positive results for dengue virus (DENV) NS1 antigen and anti-dengue IgM were also reactive to COVID-19 rapid antibody tests, suggesting dengue-COVID-19 coinfection. However, two patients were later confirmed negative for SARS-COV-2 by qRT-PCR, implying a plausible cross-reactivity of anti-dengue and anti-COVID-19 antibodies in the serological test. Coinfection of dengue and COVID-19 was evident in one patient, following confirmation of SARS-COV-2 by qRT-PCR and DENV infection using the NS1 antigen serology test. This case was the first case of dengue and COVID-19 coinfection in Indonesia and revealed possible cross-reactivity between SARS-COV-2 and DENV antibodies based on rapid serological tests. Our study indicates a public health concern regarding COVID-19 and dengue detection in Indonesia as well as in other dengue-endemic countries, and it is important for these nations to manage both pathogens concurrently.