ABSTRACT
BACKGROUND: Patients afflicted by type 1 diabetes (T1D) exhibit polyautoimmunity (PolyA). However, the frequency and distribution of PolyA in T1D is still unknown. OBJECTIVE: We conducted a systematic review and meta-analysis to define the prevalence of latent and overt PolyA in individuals with T1D. METHODS: Following PRISMA guidelines, a comprehensive search across medical databases identified studies on latent and overt PolyA in T1D. Two researchers independently screened, extracted data, and assessed study quality. A random effects model was utilized to calculate the pooled prevalence, along with its corresponding 95 % confidence interval (CI), for latent PolyA and overt PolyA. Meta-regression analysis was conducted to study the effect of study designs, age, sex, and duration of disease on pooled prevalence. RESULTS: A total of 158 articles, encompassing a diverse composition of study designs were scrutinized. The analysis included 270,890 individuals with a confirmed diagnosis of T1D. The gender was evenly distributed (50.30 % male). Notably, our analysis unveiled an overt PolyA prevalence rate of 8.50 % (95 % CI, 6.77 to 10.62), with North America having the highest rates (14.50 %, 95 % CI, 7.58 to 24.89). This PolyA profile was further characterized by a substantial incidence of concurrent autoimmune thyroid disease (7.44 %, 95 % CI, 5.65 to 9.74). Moreover, we identified a notable prevalence of latent PolyA in the T1D population, quantified at 14.45 % (95 % CI, 11.17 to 18.49) being most frequent in Asia (23.29 %, 95 % CI, 16.29 to 32.15) and Oceania (21.53 %, 95 % CI, 16.48 to 27.62). Remarkably, this latent PolyA phenomenon primarily featured an array of autoantibodies, including rheumatoid factor, followed by Ro52, thyroid peroxidase antibodies, and thyroglobulin antibodies. Duration of the disease was associated with a highest frequency of latent (ß: 0.0456, P-value: 0.0140) and overt PolyA (ß: 0.0373, P-value: 0.0152). No difference in the pooled prevalence by study design was observed. CONCLUSION: This meta-analysis constitutes a substantial advancement in the realm of early detection of PolyA in the context of T1D. Individuals with T1D should regularly undergo assessments to identify potential concurrent autoimmune diseases, especially as they age.
ABSTRACT
BACKGROUND: A paucity of predictive models assessing risk factors for COVID-19 mortality that extend beyond age and gender in Latino population is evident in the current academic literature. OBJECTIVES: To determine the associated factors with mortality, in addition to age and sex during the first year of the pandemic. DESIGN: A case-control study with retrospective revision of clinical and paraclinical variables by systematic revision of clinical records was conducted. Multiple imputations by chained equation were implemented to account for missing variables. Classification and regression trees (CART) were estimated to evaluate the interaction of associated factors on admission and their role in predicting mortality during hospitalisation. No intervention was performed. SETTING: High-complexity centre above 2640 m above sea level (masl) in Colombia. PARTICIPANTS: A population sample of 564 patients admitted to the hospital with confirmed COVID-19 by PCR. Deceased patients (n=282) and a control group (n=282), matched by age, sex and month of admission, were included. MAIN OUTCOME MEASURE: Mortality during hospitalisation. MAIN RESULTS: After the imputation of datasets, CART analysis estimated 11 clinical profiles based on respiratory distress, haemoglobin, lactate dehydrogenase, partial pressure of oxygen to inspired partial pressure of oxygen ratio, chronic kidney disease, ferritin, creatinine and leucocytes on admission. The accuracy model for prediction was 80.4% (95% CI 71.8% to 87.3%), with an area under the curve of 78.8% (95% CI 69.63% to 87.93%). CONCLUSIONS: This study discloses new interactions between clinical and paraclinical features beyond age and sex influencing mortality in COVID-19 patients. Furthermore, the predictive model could offer new clues for the personalised management of this condition in clinical settings.
Subject(s)
COVID-19 , Humans , Case-Control Studies , SARS-CoV-2 , Retrospective Studies , Oxygen , Hospital MortalityABSTRACT
RESUMEN Las vacunas son productos biológicos que contienen antígenos que buscan generar protección contra a la exposición real de un agente patógeno. En cuanto a su importancia, hacen parte de las intervenciones más costo-efectivas en salud pública, siendo superadas únicamente por el agua potable. A grandes rasgos, podemos dividir las vacunas en vivas atenuadas e inactivadas; no obstante, el nuevo coronavirus ha producido la emergencia de plataformas innovadoras que utilizan mecanismos intracelulares y moleculares con el mismo objetivo de generar inmunidad. Se realizó una búsqueda sistemática de la literatura utilizando las bases de datos electrónicas Pubmed, Scopus y Web of Science. Todos los tipos de diseño de estudio fueron considerados, sin embargo, se prefierieron aquellos redactados en idioma inglés o español. Se hace una revisión de la literatura presente sobre las plataformas existentes para generar inmunidad frente al coronavirus SARS-CoV-2 y se desarrolla cada una según su ruta y forma de acción en aquellas basadas en subunidades proteicas, vector viral recombinante, ácidos nucleicos, virus inactivados, partículas virales y virus vivos atenuados. Los mecanismos por los cuales dichas vacunas generan inmunogenicidad son diferentes, no obstante, la constante inserción de mutaciones por parte del virus sigue siendo un objeto de interés y preocupación por los investigadores.
ABSTRACT Vaccines are biological products containing antigens that aim to generate protection against real exposure to an infectious pathogen. They constitute the most cost-effective interventions in public health, being surpassed only by drinking water. Generally speaking, we can divide the vaccines into live attenuated and inactive; However, the new coronavirus has produced innovative platforms that use intracellular and molecular mechanisms with the same objective of generating immunity. A systematic literature search was carried out using the PUBMED, SCOPUS, and Web of Science electronic databases. All types of study design were selected, those written in English or Spanish were prioritized. We reviewed the existing platforms to generate immunity against the SARS-CoV-2 coronavirus. Each one is developed according to its route and form of action, and can be classified as protein subunits, recombinant viral vector, nucleic acids, inactivated viruses, viral particles, and live attenuated viruses. The mechanisms by which these vaccines generate immunogenicity are different; however, the constant insertion of mutations by the virus remains an object of interest and concern for researchers.