ABSTRACT
La infección por el virus SARS-CoV-2, conocida como COVID-19, ha causado alta morbilidad y mortalidad en el mundo. Después de haber descifrado el código genético del virus y haber desarrollado un gran trabajo investigativo en la creación de vacunas, con diversas estrategias de acción, se ha logrado disminuir la morbi mortalidad. Fue necesario acelerar el proceso de producción de vacunas, lo cual estuvo facilitado por el avanzado conocimiento científico en el campo de la genética y la virología, para brindar a la especie humana una protección eficaz y segura contra la agresiva y progresiva infección. Las vacunas se clasifican de acuerdo con su mecanismo de acción, existen vacunas basadas en vectores virales que no se replican, vacunas recombinantes, otras basadas en virus atenuados y virus inactivos, y (la gran novedad de la ciencia actual) las vacunas basadas en ARN mensajero y ADN. Estas últimas han demostrado una gran eficacia y seguridad en la prevención de la infección por el SARS-CoV-2, también han impactado de manera fuerte, por lo que han reducido la infección y la mortalidad en la población. En consecuencia, cada día que pasa desde que se inició el periodo de vacunación mundial, se evidencia una reducción en la curva de contagio y mortalidad por COVID-19.
The infection produced by the SARS-CoV-2 virus, known as COVID-19, has caused high morbidity and mortality across the world. After having deciphered the virus's genoma and carried out investigative endeavors that led to the creation of a variety of vaccines with different mechanisms of action, it has been possible to decrease the morbidity and mortality associated with the virus. It was necessary to accelerate the vaccine production process, which was facilitated by advanced scientific knowledge within the disciplines of genetics and virology, in order to provide the human species with a safe and effective form of protection against the aggressive and progressive infection. Vaccines are classified differently depending on their action mechanisms: there are some based on non-replicating viral vectors, recombinant vaccines, ones that are based on attenuated or inactivated viruses, and (the greatest novelty of current scientific developments) vaccines based on DNA and messenger RNA. The latter has demonstrated significant efficacy and safety in the prevention of the SARS-CoV-2 infection as observed in preliminary studies, and they have meaningfully impacted the population by reducing the rates of infection and mortality. As a result, decreased levels of spread of and mortality from COVID-19 have been evidenced across the globe following the beginning of the vaccine distribution period.
A infecção pelo vírus SARS-CoV-2, conhecido como COVID-19, tem causado elevada morbidade e mortalidade no mundo. Depois de ter decifrado o código genético do virus e de ter realizado um grande trabalho de investigação na criação de vacinas, com diversas estratégias de ação, a morbilidade e a mortalidade foram reduzidas. Foi necessário acelerar o processo de produção de vacinas, facilitado por conhecimentos científicos avançados no domínio da genética e da virologia, para proporcionar à espécie humana uma proteção eficaz e segura contra a infecção agressiva e progressiva. As vacinas são classificadas de acordo com seu mecanismo de ação, existem vacinas baseadas em vetores virais que não se replicam, vacinas recombinantes, outras baseadas em virus atenuados e vírus inativos, e (a grande novidade da ciência atual) vacinas baseadas em RNA mensageiro e ADN. Estas últimas demonstraram grande eficácia e segurança na prevenção da infecção por SARS-CoV-2, mas também tiveram um forte impacto, razão pela qual reduziram a infecção e a mortalidade na população. Consequentemente, a cada dia que passa desde o início do período global de vacinação, fica evidente uma redução na curva de contágio e mortalidade por COVID-19.
Subject(s)
HumansABSTRACT
OBJECTIVE Diagnosing nosocomial meningitis (NM) in neurosurgical patients is difficult. The standard CSF test is not optimal and when it is obtained, CSF cultures are negative in as many as 70% of cases. The goal of this study was to develop a diagnostic prediction rule for postoperative meningitis using a combination of clinical, laboratory, and CSF variables, as well as risk factors (RFs) for CNS infection. METHODS A cross-sectional study was performed in 4 intensive care units in Medellín, Colombia. Patients with a history of neurosurgical procedures were selected at the onset of febrile symptoms and/or after an increase in acute-phase reactants. Their CSF was studied for suspicion of infection and a bivariate analysis was performed between the dependent variable (confirmed/probable NM) and the identified independent variables. Those variables with a p value ≤ 0.2 were fitted in a multiple logistic regression analysis with the same dependent variable. After determining the best model according to its discrimination and calibration, the ß coefficient for each selected dichotomized variable obtained from the logistic regression model was used to construct the score for the prediction rule. RESULTS Among 320 patients recruited for the study, 154 had confirmed or probable NM. Using bivariate analysis, 15 variables had statistical associations with the outcome: aneurysmal subarachnoid hemorrhage (aSAH), traumatic brain injury, CSF leak, positioning of external ventricular drains (EVDs), daily CSF draining via EVDs, intraventricular hemorrhage, neurological deterioration, age ≥ 50 years, surgical duration ≥ 220 minutes, blood loss during surgery ≥ 200 ml, C-reactive protein (CRP) ≥ 6 mg/dl, CSF/serum glucose ratio ≤ 0.4 mmol/L, CSF lactate ≥ 4 mmol/L, CSF leukocytes ≥ 250 cells, and CSF polymorphonuclear (PMN) neutrophils ≥ 50%. The multivariate analysis fitted a final model with 6 variables for the prediction rule (aSAH diagnosis: 1 point; CRP ≥ 6 mg/dl: 1 point; CSF/serum glucose ratio ≤ 0.4 mmol/L: 1 point; CSF leak: 1.5 points; CSF PMN neutrophils ≥ 50%: 1.5 points; and CSF lactate ≥ 4 mmol/L: 4 points) with good calibration (Hosmer-Lemeshow goodness of fit = 0.71) and discrimination (area under the receiver operating characteristic curve = 0.94). CONCLUSIONS The prediction rule for diagnosing NM improves the diagnostic accuracy in neurosurgical patients with suspicion of infection. A score ≥ 6 points suggests a high probability of neuroinfection, for which antibiotic treatment should be considered. An independent validation of the rule in a different group of patients is warranted.
