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RESUMEN Introducción: El pie diabético es una de las complicaciones más temible de la diabetes mellitus; es el causante del 80 % de las amputaciones no traumáticas a nivel mundial. Durante décadas se han utilizados diferentes tratamientos para la cicatrización del pie diabético; los factores de crecimiento han revolucionado esta terapéutica. La participación de un equipo multidisciplinario con el cumplimiento de los protocolos de actuación y el empleo del Heberprot-P disminuyen el índice de amputaciones en pacientes con esta afección. Objetivo: Presentar la evolución de pacientes con úlceras del pie diabético, en diferentes estadios clínicos, tratados con Heberprot-P. Desarrollo: Se presentan 3 casos clínicos; el primero es un paciente masculino, de 56 años, diabético, con amputación transmetatarsiana abierta en la cual se realizaron 16 aplicaciones del Heberprot-P y se colocó un injerto de piel, la lesión cerró en 45 días. El segundo es un paciente de 58 años, diabético e hipertenso, con lesión en el pie derecho, con una cirugía vascular previa; se realizaron 19 aplicaciones del Heberprot-P y la lesión cicatrizó en 49 días. El tercer caso es un paciente de 55 años, que ingresa por la una lesión extensa en el pie derecho, se le realizaron 22 aplicaciones de Heberprot-P, se logró el cierre de la lesión en 85 días y se evitó la amputación. Conclusiones: Los casos presentados evolucionaron de forma favorable con el tratamiento de Heberprot-P.
ABSTRACT Introduction: The diabetic foot is one of the most feared complications of diabetes mellitus; It is the cause of 80 % of non-traumatic amputations worldwide. For decades, different treatments have been used to heal diabetic foot; growth factors have revolutionized this therapy. The participation of a multidisciplinary team with compliance with the action protocols and the use of Heberprot-P decrease the rate of amputations in patients with this condition. Objective: To present the evolution of patients with diabetic foot ulcers, in different clinical stages, treated with Heberprot-P. Development: Three clinical cases are presented; The first is a male patient, 56 years old, diabetic, with open transmetatarsal amputation in which 16 applications of Heberprot-P were performed and a skin graft was placed, the lesion closed in 45 days. The second is a 58-year-old patient, diabetic and hypertensive, with a right foot injury, with previous vascular surgery; 19 applications of Heberprot-P were performed and the lesion healed in 49 days. The third case is a 55-year-old patient, who was admitted due to an extensive injury to his right foot, 22 applications of Heberprot-P were performed, closure of the injury was achieved in 85 days and amputation was avoided. Conclusions: The presented cases evolved favorably with Heberprot-P treatment.
RESUMEN
Background: Selecting the optimal combination of HIV drugs for an individual in resourcelimited settings is challenging because of the limited availability of drugs and genotyping.Objective: The evaluation as a potential treatment support tool of computational models that predict response to therapy without a genotype; using cases from the Phidisa cohort in South Africa.Methods: Cases from Phidisa of treatment change following failure were identified that had the following data available: baseline CD4 count and viral load; details of failing and previous antiretroviral drugs; drugs in new regimen and time to follow-up. The HIV Resistance Response Database Initiative's (RDI's) models used these data to predict the probability of a viral load 50 copies/mL at follow-up. The models were also used to identify effective alternative combinations of three locally available drugs.Results: The models achieved accuracy (area under the receiver-operator characteristic curve) of 0.72 when predicting response to therapy; which is less accurate than for an independent global test set (0.80) but at least comparable to that of genotyping with rules-based interpretation. The models were able to identify alternative locally available three-drug regimens that were predicted to be effective in 69% of all cases and 62% of those whose new treatment failed in the clinic.Conclusion: The predictive accuracy of the models for these South African patients together with the results of previous studies suggest that the RDI's models have the potential to optimise treatment selection and reduce virological failure in different patient populations; without the use of a genotype