ABSTRACT
We reconstructed the SARS-CoV-2 epidemic caused by Omicron variant in Puerto Rico by sampling genomes collected during October 2021-May 2022. Our study revealed that Omicron BA.1 emerged and replaced Delta as the predominant variant in December 2021. Increased transmission rates and a dynamic landscape of Omicron sublineage infections followed.
Subject(s)
COVID-19 , Epidemics , Humans , Puerto Rico/epidemiology , SARS-CoV-2/genetics , COVID-19/epidemiologySubject(s)
Dengue Virus , Dengue , Humans , Child , Adolescent , United States Virgin Islands/epidemiology , Prevalence , Dengue/epidemiologyABSTRACT
BACKGROUND: The COVID-19 pandemic underscored the need for rapid and accurate diagnostic tools. In August 2020, the Abbott BinaxNOW COVID-19 Antigen Card test became available as a timely and affordable alternative for SARS-CoV-2 molecular testing, but its performance may vary due to factors including timing and symptomatology. This study evaluates BinaxNOW diagnostic performance in diverse epidemiological contexts. METHODS: Using RT-PCR as reference, we assessed performance of the BinaxNOW COVID-19 test for SARS-CoV-2 detection in anterior nasal swabs from participants of two studies in Puerto Rico from December 2020 to May 2023. Test performance was assessed by days post symptom onset, collection strategy, vaccination status, symptomatology, repeated testing, and RT-PCR cycle threshold (Ct) values. RESULTS: BinaxNOW demonstrated an overall sensitivity of 84.1% and specificity of 98.8%. Sensitivity peaked within 1-6 days after symptom onset (93.2%) and was higher for symptomatic (86.3%) than asymptomatic (67.3%) participants. Sensitivity declined over the course of infection, dropping from 96.3% in the initial test to 48.4% in testing performed 7-14 days later. BinaxNOW showed 99.5% sensitivity in participants with low Ct values (≤ 25) but lower sensitivity (18.2%) for participants with higher Cts (36-40). CONCLUSIONS: BinaxNOW demonstrated high sensitivity and specificity, particularly in early-stage infections and symptomatic participants. In situations where test sensitivity is crucial for clinical decision-making, nucleic acid amplification tests are preferred. These findings highlight the importance of considering clinical and epidemiological context when interpreting test results and emphasize the need for ongoing research to adapt testing strategies to emerging SARS-CoV-2 variants.
Subject(s)
COVID-19 , SARS-CoV-2 , Sensitivity and Specificity , Humans , COVID-19/diagnosis , Puerto Rico/epidemiology , SARS-CoV-2/immunology , SARS-CoV-2/isolation & purification , SARS-CoV-2/genetics , Male , Adult , Female , Middle Aged , Antigens, Viral/analysis , Young Adult , Adolescent , COVID-19 Serological Testing/methods , Aged , COVID-19 Testing/methodsABSTRACT
Multiple Sclerosis (MS) is a complex disease where genetic and environmental factors have been implicated. The onset of symptoms occurs in individuals from twenty to fifty years of age, producing a progressive impairment of motor, sensory and cognitive functions. MS is more frequent in females than in males with a ratio of 4:1. The prevalence of the MS varies among ethnics groups such as Europeans, Africans and Caucasians. The estimated prevalence of MS in Puerto Rico is 42 for each 100,000 habitants, which is more than the prevalence reported for Central America and the Caribbean. In spite of this prevalence, the genetic component of MS has not been explored in order to know the alleles' expression of Puerto Rican MS patients and compare it with the allele expression in other ethnic groups. Thirty-five patients and 31 control subjects were genotyped. The allele frequencies expressed in this sample were similar to those expressed for Puerto Ricans in the National Marrow Donor Program Registry (n = 3,149). The most prevalent alleles for MS patients were HLA-DRB1*01 and *03. HLA-DQB1*04 was the most frequent in the control group and HLA-A*30, in MS patients. These findings are in agreement with published data. HLA-DQB1*04 was a marginal protector in this sample and this role has not been described before. The accuracy of the results is limited due to the sample size. After performing a statistical power analysis it showed that by increasing the sample the values would be significant.