Concordancia de presión sistólica pulmonar estimada por ultrasonografía y cateterismo cardíaco derecho en pacientes candidatos a trasplante cardíaco

Introducción: A los pacientes con Insuficiencia Cardíaca (IC) estadio D candidatos a trasplante cardiaco se les realiza la determinación de las presiones de la arteria pulmonar por CCD considerada como prueba de oro. Se decidió conocer si la medición de las presión de la arteria pulmonar obtenidas por ECO TT tenían concordancia con las obtenidas por el CCDen estos paciente que fueron evaluados para trasplante cardiaco. Metodología: Se realizó una recolección retrospectiva de los datos consignados en las historias clínicas de todos los pacientes que fueron receptores de un trasplante cardiaco en la FCI-IC desde septiembre del 2005 hasta Mayo del 2013 y se determinó la concordancia entre la presión sistólica pulmonar evaluado por ECO TT y CCD. Resultados: Se incluyeron 46 pacientes. El 76,1% son hombres y con edad promedio de 46,4 ± 13,1. La PSAP estimada por CCD fue 48,3 ± 13,1 mmHg Vs 45,1 ± 12,1 mmHg por ECO TT. La fracción de eyección fue 15,1 ± 4,06% (IC: 13,95-16,36). El 75,9% de los pacientes tenían HTP moderada y severa. La concordancia entre la PSAP determinada por ambos métodos fue 0,475 (I,C: 0.256 - 0.694), y el coeficiente de correlación intraclase fue de 0,090, indicando una baja concordancia entre los dos métodos. Discusión: La determinación de las presiones pulmonares determinada por ECO TT tiene mala concordancia con las obtenidas por CCD. No se debe usar este estudio para excluir los pacientes candidatos a trasplante cardiaco ni para evaluar las variaciones de las misma en la evolución de la enfermedad.

A prediction model for establishing the disability degree in adults with spinal cord injury: results based on WHO-DAS II perspective

Objective: To establish a prediction model of the degree of disability in adults with Spinal CordInjury (SCI ) based on the use of the WHO-DAS II . Methods: The disability degree was correlatedwith three variable groups: clinical, sociodemographic and those related with rehabilitation services.A model of multiple linear regression was built to predict disability. 45 people with sci exhibitingdiverse etiology, neurological level and completeness participated. Patients were older than 18 andthey had more than a six-month post-injury. The WHO-DAS II and the ASIA impairment scale(AIS ) were used. Results: Variables that evidenced a significant relationship with disability were thefollowing: occupational situation, type of affiliation to the public health care system, injury evolutiontime, neurological level, partial preservation zone, ais motor and sensory scores and number ofclinical complications during the last year. Complications significantly associated to disability werejoint pain, urinary infections, intestinal problems and autonomic disreflexia. None of the variablesrelated to rehabilitation services showed significant association with disability. The disability degreeexhibited significant differences in favor of the groups that received the following services: assistivedevices supply and vocational, job or educational counseling. Conclusions: The best predictiondisability model in adults with sci with more than six months post-injury was built with variablesof injury evolution time, AIS sensory score and injury-related unemployment.

Clinical prediction of occupational and non-specific low back pain

Non-specific Occupational Low Back Pain (NOLBP) is a health condition that generates a high absenteeism and disability. Due to multifactorial causes is difficult to determine accurate diagnosis and prognosis. The clinical prediction of NOLBP is identified as a series of models that integrate a multivariate analysis to determine early diagnosis, course, and occupational impact of this health condition. Objective: to identify predictor factors of NOLBP, and the type of material referred to in the scientific evidence and establish the scopes of the prediction. Materials and method: the title search was conducted in the databases PubMed, Science Direct, and Ebsco Springer, between1985 and 2012. The selected articles were classified through a bibliometric analysis allowing to define the most relevant ones. Results: 101 titles met the established criteria, but only 43 metthe purpose of the review. As for NOLBP prediction, the studies varied in relation to the factors for example: diagnosis, transition of lumbar pain from acute to chronic, absenteeism from work, disability and return to work. Conclusion: clinical prediction is considered as a strategic to determine course and prognostic of NOLBP, and to determine the characteristics that increase the risk of chronicity in workers with this health condition. Likewise, clinical prediction rules are tools that aim to facilitate decision making about the evaluation, diagnosis, prognosis and intervention for low back pain, which should incorporate risk factors of physical, psychological and social.