FACTORES ASOCIADOS A LA ERC-5 EN PACIENTES DE UNA EPS DEL VALLE DEL CAUCA 2018-2020

Introduction: Chronic Kidney Disease (CKD) involves a progressive deterioration in kidney function, affecting the ability to filter metabolic waste. Factors such as age, family history, ethnicity, sex, and unhealthy habits may contribute to progression to stage 5 (CKD-5). Methodology: Retrospective observational study analyzed patients with hypertension, diabetes, morbid obesity, dyslipidemia and CKD in Valle del Cauca from 2018 to 2020. Cases with CKD-5, previous dialysis, and significant changes were excluded. A census was used as a sampling method, consolidating quarterly data in 12 databases. The analysis addressed sociodemographic and clinical factors, evaluating associations with binary logistic regression, and the study was ethically approved. Results: In a cohort of 57,643 patients with CKD stages 1 to 4, the majority began follow-up in stages 2 and 3. The prevalent comorbidities were hypertension, overweight and obesity. The incidence of CKD-5 was 6 new cases per 1000 patients, being higher in the population aged 30 to 44 years, male, non-ethnic, not belonging to vulnerable groups and residing in certain municipalities. Factors such as uncontrolled blood pressure, lack of specific medication and follow-up in advanced renal stages were significantly associated with the incidence of CKD stage 5. In addition, a direct relationship was observed between the advancement of renal stage and the increase in creatinine in the blood, albumin in urine, total cholesterol and HDL cholesterol. Patients who advanced to stage 5 showed significantly higher levels of blood creatinine, albuminuria, total cholesterol, and LDL cholesterol compared to those who remained in stage 4 or lower.Introducción: La Enfermedad Renal Crónica (ERC) implica un deterioro progresivo en la función renal, afectando la capacidad de filtrar desechos metabólicos. Factores como edad, antecedentes familiares, etnia, sexo, y hábitos poco saludables pueden contribuir a la progresión hacia el estadio 5 (ERC-5). Metodología: Estudio observacional retrospectivo analizó pacientes con hipertensión, diabetes, obesidad mórbida, dislipidemia y ERC en el Valle del Cauca de 2018 a 2020. Se excluyeron casos con ERC-5, diálisis previa, y cambios significativos. Se utilizó un censo como método de muestreo, consolidando datos trimestrales en 12 bases. El análisis abordó factores sociodemográficos y clínicos, evaluando asociaciones con regresión logística binaria, y el estudio fue éticamente aprobado. Resultados: En una cohorte de 57,643 pacientes con ERC estadios 1 a 4, la mayoría inició el seguimiento en estadios 2 y 3. Las comorbilidades prevalentes fueron hipertensión, sobrepeso y obesidad. La incidencia de ERC-5 fue de 6 casos nuevos por cada 1000 pacientes, siendo mayor en población de 30 a 44 años, sexo masculino, no étnica, no perteneciente a grupos vulnerables y residente en ciertos municipios. Factores como la presión arterial no controlada, falta de medicación específica y seguimiento en estadios renales avanzados se asociaron significativamente con la incidencia de ERC estadio 5. Además, se observó una relación directa entre el avance de estadio renal y el incremento de creatinina en sangre, albumina en orina, colesterol total y colesterol HDL. Los pacientes que avanzaron a estadio 5 mostraron niveles significativamente superiores de creatinina en sangre, albuminuria, colesterol total y colesterol LDL en comparación con los que permanecieron en fase 4 o inferior

Una nueva visión Konradista

Esta investigación se concentró en la percepción de satisfacción de los graduados de la Fundación Universitaria Konrad Lorenz en aspectos de su vida universitaria y laboral.This research focused on the perceived satisfaction of Konrad Lorenz University Foundation graduates with aspects of their university and work life.Profesional en MercadeoPregradoMarketin

A novel scale based on biomarkers associated with COVID-19 severity can predict the need for hospitalization and intensive care, as well as enhanced probabilities for mortality

Abstract Prognostic scales may help to optimize the use of hospital resources, which may be of prime interest in the context of a fast spreading pandemics. Nonetheless, such tools are underdeveloped in the context of COVID-19. In the present article we asked whether accurate prognostic scales could be developed to optimize the use of hospital resources. We retrospectively studied 467 files of hospitalized patients after COVID-19. The odds ratios for 16 different biomarkers were calculated, those that were significantly associated were screened by a Pearson’s correlation, and such index was used to establish the mathematical function for each marker. The scales to predict the need for hospitalization, intensive-care requirement and mortality had enhanced sensitivities (0.91 CI 0.87–0.94; 0.96 CI 0.94–0.98; 0.96 CI 0.94–0.98; all with p < 0.0001) and specificities (0.74 CI 0.62–0.83; 0.92 CI 0.87–0.96 and 0.91 CI 0.86–0.94; all with p < 0.0001). Interestingly, when a different population was assayed, these parameters did not change considerably. These results show a novel approach to establish the mathematical function of a marker in the development of highly sensitive prognostic tools, which in this case, may aid in the optimization of hospital resources. An online version of the three algorithms can be found at: http://benepachuca.no-ip.org/covid/index.ph