ABSTRACT
Stroke is a disease with a high disability rate， and often leads to limb dysfunction， especially upper limb motor dysfunction， which significantly affects the patients’ abilities and quality of life. With patients' increasing demand for functional recovery， various therapeutic techniques of rehabilitation medicine have been rapidly developed. As an important active central intervention technology， motor imagery training can be initiated by the patient's brain and activate the sensorimotor network to accelerate the repair of limb functions. The development of preventive medicine has promoted the continuous evolution of the concept of rehabilitation. The strategies of full cycle functional protection and disability prevention have been improved and developed in the clinical and scientific research practice of upper limb rehabilitation after stroke. The motor imagery training can activate the upper limb motor neural network in the early stage of stroke to prevent functional loss； In the recovery period， it can accelerate the neural function remodeling and reduce the upper limb disability； In the later stage after stroke， it can improve the performance of upper limb function in daily life， thus helping patients return to family life and society. This article reviews the research progress in recent years in China and abroad in the application of motor imagery training for the full cycle function protection and disability prevention of stroke.
ABSTRACT
Resumo Fundamento Os limiares de corte para a "relação do ciclo completo de repouso" (RFR) oscilam em diferentes séries, sugerindo que as características da população podem influenciá-los. Da mesma forma, foram documentados preditores de discordância entre a RFR e a reserva de fluxo fracionado (FFR). O Estudo RECOPA, mostrou que a capacidade diagnóstica está reduzida na "zona cinzenta" da RFR, tornando necessária a realização de FFR para descartar ou confirmar isquemia. Objetivos Determinar os preditores de discordância, integrar as informações que eles fornecem em um índice clínico-fisiológico: a "RFR Ajustada", e comparar sua concordância com o FFR. Métodos Usando dados do Estudo RECOPA, os preditores de discordância em relação à FFR foram determinados na "zona cinzenta" da RFR (0,86 a 0,92) para construir um índice ("RFR Ajustada") que pesaria a RFR juntamente com os preditores de discordância e avaliar sua concordância com a FFR. Resultados Foram avaliadas 156 lesões em 141 pacientes. Os preditores de discordância foram: doença renal crônica, cardiopatia isquêmica prévia, lesões não envolvendo a artéria descendente anterior esquerda e síndrome coronariana aguda. Embora limitada, a "RFR Ajustada" melhorou a capacidade diagnóstica em comparação com a RFR na "zona cinzenta" (AUC-RFR = 0,651 versus AUC-"RFR Ajustada" = 0,749), mostrando também uma melhora em todos os índices diagnósticos quando foram estabelecidos limiares de corte otimizados (sensibilidade: 59% a 68%; especificidade: 62% a 75%; acurácia diagnóstica: 60% a 71%; razão de verossimilhança positiva: 1,51 a 2,34; razão de verossimilhança negativa: 0,64 a 0,37). Conclusões Ajustar a RFR integrando as informações fornecidas pelos preditores de discordância para obter a "RFR Ajustada" melhorou a capacidade diagnóstica em nossa população. Mais estudos são necessários para avaliar se os índices clínico-fisiológicos melhoram a capacidade diagnóstica da RFR ou de outros índices coronarianos.
Abstract Background Cutoff thresholds for the "resting full-cycle ratio" (RFR) oscillate in different series, suggesting that population characteristics may influence them. Likewise, predictors of discordance between the RFR and fractional flow reserve (FFR) have been documented. The RECOPA Study showed that diagnostic capacity is reduced in the RFR "grey zone", requiring the performance of FFR to rule out or confirm ischemia. Objectives To determine predictors of discordance, integrate the information they provide in a clinical-physiological index, the "Adjusted RFR", and compare its agreement with the FFR. Methods Using data from the RECOPA Study, predictors of discordance with respect to FFR were determined in the RFR "grey zone" (0.86 to 0.92) to construct an index ("Adjusted RFR") that would weigh RFR together with predictors of discordance and evaluate its agreement with FFR. Results A total of 156 lesions were evaluated in 141 patients. Predictors of discordance were: chronic kidney disease, previous ischemic heart disease, lesions not involving the anterior descending artery, and acute coronary syndrome. Though limited, the "Adjusted RFR" improved the diagnostic capacity compared to the RFR in the "grey zone" (AUC-RFR = 0.651 versus AUC-"Adjusted RFR" = 0.749), also showing an improvement in all diagnostic indices when optimal cutoff thresholds were established (sensitivity: 59% to 68%; specificity: 62% to 75%; diagnostic accuracy: 60% to 71%; positive likelihood ratio: 1.51 to 2.34; negative likelihood ratio: 0.64 to 0.37). Conclusions Adjusting the RFR by integrating the information provided by predictors of discordance to obtain the "Adjusted RFR" improved the diagnostic capacity in our population. Further studies are required to evaluate whether clinical-physiological indices improve the diagnostic capacity of RFR or other coronary indices.