Validation of a prognostic scale of risk of death in elderly adults with acute brain infarct
Keywords:
ictus, brain infarct, cerebrovascular disease, scale, prognosis, estimatorAbstract
Introduction: Acute brain infarct is responsible of a high mortality in elderly adults. So far, there is not any predictive scale of risk of death which evaluates entirely the patient.
Objective: To validate a scale of risk of death, in elderly adult patients, with acute brain infarct.
Methods: A longitudinal and prospective study was carried out, from January 1st to December 31st, 2019. The research was performed in two stages. In a first moment, 145 patients who suffered from acute brain infarct were studied at ¨Leopoldito Martínez¨ General Teaching Hospital and in a second moment, the 120 patients from ¨Aleida Fernández Chardiet¨ Clinical Surgical Hospital. In the process the Receiver Operating Characteristics Curve was applied, a binary logistic regression test was performed and a s correlation intraclass model was applied.
Results: It was established 10 as cut point. The area under the curve was 0.94, the model achieved a sensitivity of 0.97; the square root of Cox and Snell, showed values of 0.74 the square root of Nagelkerke was of 0.98, the logarithm of verisimilitude was visualized that was of – 5.545, a significant fact in the three values. The unique measures of absolute agreement showed a value of 0.86, very significant value p=0.000.
Conclusions: The scale to estimate scale of risk of death, in elderly adult patients, with acute brail infarct is valid.
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Wilkins E, Wilson L, Wickramasinghe K, Bhatna gar P, Leal J, Luengo-Fernandez R, et al. European Cardiovascular Disease Statistics 2017[Internet].Brussels: European Heart Network; 2017. [citado 19 Ago 2022]. Disponible en:https://ehnheart.org/images/CVD-statistics-report-August-2017.pdf
Norrving B, Barrick J, Davalos A, Dichgans M, Cordonnier C, Guekht A, et al. Action plan for stroke in Europe 2018-2030. Eur Stroke J[Internet]. 2018[citado 19 Ago 2022]; 3(4): 309-36. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6571507/
Cerda J, Cifuentes L. Uso de curvas ROC en investigación clínica. Aspectos teórico-prácticos. Rev Chil Infect [Internet]. 2012 [citado 19 Ago 2022];29(2):138-41. Disponible en: https://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0716-10182012000200003
Bacallao Gallestey J. Las curvas ROC y las medidas de detectabilidad para la validación de predictores del rendimiento docente. Educ Med Super [Internet]. 1996 dic [citado 31 Ene 2022];10(1):1-2. Disponible en: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S086421411996000100001&lng=es
Shengping Y, Gilbert B. The receiver operating characteristic (ROC) curve. The Southwest Respiratory and Critical Care Chronicles [Internet]. 2017[citado 31 Ene 2022];5(19):34–6. Disponible en:
https://pulmonarychronicles.com/index.php/pulmonarychronicles/article/view/391/848
Fernández AI, Llaugel FA. Evaluación del uso de modelos de regresión logística para el diagnóstico de instituciones financieras. Ciencia y Sociedad [Internet]. 2011[citado 19 Ago 2022];35(4):590-627. Disponible en: https://www.redalyc.org/articulo.oa?id=87022786002
Sánchez-Catalejo Ramírez E. Regresión Logística en Salud Pública[Internet].Granada: Escuela Andaluza de Salud Pública; 2000 [citado 19 Ago 2022]. Disponible en: https://www.easp.es/project/regresion-logistica-en-salud-publica/
Roque Cruz MJ. Modelos de regresión logística multinomial de la calidad de fibra de alpaca huacaya en función de sus características: sexo y edad - Corani, Carabaya, Puno-2017[Tesis]. PUNO-Perú: Universidad Nacional del Altiplano; 2018[citado 19 Ago 2022]. Disponible en: http://repositorio.unap.edu.pe/bitstream/handle/UNAP/7755/Roque_Cruz_Maria_Juaquina.pdf?sequence=1&isAllowed=y
Fuentes Fernández S. Regresión Logistica[Tesis]. Madrid: Universidad Autónomo; 2011. [citado 19 Ago 2022]. Disponible en: https://docplayer.es/21085069-Santiago-de-la-fuente-fernandez-regresion-logistica.html
Papavasileiou V, Milionis H, Michel P et al. ASREAL Score Predicts 5 years Dependence and Mortality in Acute Isquemic Stroke. Stroke [Internet]. 2013 Dic [citado 19 Ago 2022]; 44(6):1616–20. Disponible en: https://www.ahajournals.org/doi/10.1161/STROKEAHA.113.001047?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%20%200pubmed
Russell J. Chander, Bonnie YK, Lam, Xuling L, Aloysius YN. Development and validation of a risk score (CHANGE) for cognitive impairment after ischemic stroke. Scientific Reports [Internet]. 2017[citado 19 Ago 2022];7(12441). Disponible en: https://www.nature.com/articles/s41598-017-12755-z.pdf
Chaudhary D, Abedi V. Clinical Risk Score for Predicting Recurrence Following a Cerebral Ischemic Event. Front Neurol [Internet]. 2019 [citado 19 Ago 2022]; 12:10-6. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6861423/
Arévalo T, Bryan E. Comparación entre las escalas de coma de Glasgow, NIHSS y FOUR como predictoras de mortalidad a 30 días en pacientes adultos con ictus isquémico [Tesis]. Trujillo: Universidad Nacional de Trujillo; 2019 [citado 19 Ago 2022]. Disponible en: http://dspace.unitru.edu.pe/handle/UNITRU/15399
Sagaró del Campo NM, Zamora Matamoros L. Técnicas estadísticas para identificar posibles relaciones bivariadas. Rev Cub Anest Rean [Internet]. 2020 [citado 19 Ago 2022]; 19(2): [aprox. 9 p.]. Disponible en: http://revanestesia.sld.cu/index.php/anestRean/article/view/603
Fernández P, Díaz S. La fiabilidad de las mediciones clínicas: El análisis de concordancia para variables numéricas [Internet]. Países Bajos: Fisterra; 2011. [citado 19 Ago 2022]. Disponible en: https://www.fisterra.com/formacion/metodologia-investigacion/la-fiabilidad-mediciones-clinicas-analisis-concordancia-para-variables-numericas/
Martínez CG, Cortés ME, Pérez Fernández AC. Metodología para el análisis de correlación y concordancia en equipos de mediciones similares. Universidad y Sociedad [Internet]. 2016[citado 19 Ago 2022];8 (4):65-70. Disponible en: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S2218-36202016000400008
Akoglu H. User's guide to correlation coefficients. Turkish Journal of Emergency Medicine[Internet]. 2018[citado 19 Ago 2022];18(3):91-3. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6107969/
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