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1.
Braz J Biol ; 84: e265550, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-38451627

RESUMEN

Despite of the global unity against COVID-19 pandemic, the threat of SARS-CoV-2 variants on the lives of human being is still not over. SARS-CoV-2 pandemic has urged the need of rapid viral detection at earliest. To cope with gradually expanding scenario of SARS-CoV-2, accurate diagnosis is extremely crucial factor which should be noticed by international health organizations. Limited research followed by sporadic marketing of SARS-CoV-2 rapid pharmaceutical detection kits raises critical questions against quality assurance and quality control measures. Herein we aimed to interrogate effectivity and specificity analysis of SARS-CoV-2 pharmaceutical rapid detection kits (nasopharyngeal swab based) using conventional gold standard triple target real-time polymerase chain reaction (USFDA approved). A cross-sectional study was conducted over 1500 suspected SARS-CoV-2 patients. 100 real time-PCR confirmed patients were evaluated for pharmaceutical RDT kits based upon nasopharyngeal swab based kits. The SARS-CoV-2 nasopharyngeal swab based rapid diagnostic kit (NSP RDTs) analysis showed 78% reactivity. Among real time PCR confirmed negative subjects, 49.3% represented false positivity. The positive predictive analysis revealed 67.82%, while negative predictive values were 64.40%. The NSP RDTs showed limited sensitivities and specificities as compared to gold standard real time PCR. Valid and authentic detection of SARS-CoV-2 is deemed necessary for accurate COVID-19 surveillance across the globe. Current study highlights the potential consequences of inadequate detection of SARS-CoV-2 and emerging novel mutants, compromising vaccine preventable diseases. Current study emphasizes need to wake higher authorities including strategic organizations for designing adequate measures to prevent future SARS-CoV-2 epidemics.


Asunto(s)
COVID-19 , Juego de Reactivos para Diagnóstico , SARS-CoV-2 , Humanos , COVID-19/diagnóstico , Estudios Transversales , Nasofaringe/virología , Pakistán , Pandemias , SARS-CoV-2/genética , Sensibilidad y Especificidad
2.
Braz J Biol ; 84: e271451, 2023.
Artículo en Inglés | MEDLINE | ID: mdl-37341223

RESUMEN

The national burden of HCV has significantly mounted over the period of last few decades placing Pakistan at the worst placement of second largest burden of HCV globally. Herein for the first time from Pakistan, we examined clinical correlation of potential biomarkers with HCV. Nation-wide study was conducted on 13,348 suspected HCV patients during 2018-2022. During pre-COVID-19 era of 2018-2019, prevalence of HCV remained 30%. During 2018, among HCV positive patients, 91% of ALT, 63% of AST, 67% of GGT, 28% of Bili T, 62% of HB, 15% of HBA1C, 25% of CREAT, 15% of PT, 15% of aPTT and 64% of AFP were abnormal. During 2019, among HCV infected 74.47% of ALT, 63.54% of AST, 70.24% of GGT, 24.71% of Bili T, 8.77% of HB and 75% of AFP were raised. CT/CAT scan revealed 4.65% liver complications (mild 13.04%, moderate 30.43% and severe 56.52%). During 2020, HCV prevalence remained 25%. 65.17% of ALT, 64.20% of AST, 68.75% of GGT, 31.25% of Bili T, 20.97% of HB, 4.65% of CREAT and 73.68% of AFP levels were raised. CAT analysis revealed liver complications among 4.41% (14.81% mild, 40.74% moderate, and 44.44% sever). 85.71% of participants diabetes was out of control. During 2021, HCV prevalence remained 27.1%. ALT (73.86%), AST (50.6%), GGT (67.95%), Bili T (28.21%), HB (20%), CREAT (5.8%) and AFP (82.14%) levels were abnormal. During 2022, the levels of ALT (56.06%), AST (56.36%), GGT (56.6%), Bili T (19.23%), HB (43.48%), HBA1C (14.81), CREAT (18.92%), AFP (93.75%) were abnormal. CAT analysis revealed 7.46% liver complications (25% mild, 30.36% moderate, and 42.86% sever). During 2021-2022, 83.33% of subject's diabetes was not controlled.


Asunto(s)
COVID-19 , Hepatitis C , Humanos , Hepacivirus , Hemoglobina Glucada , alfa-Fetoproteínas , Pakistán/epidemiología , Hepatitis C/epidemiología , Biomarcadores , Tomografía Computarizada por Rayos X , Costo de Enfermedad
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