RESUMEN
OBJECTIVE: To evaluate the prognostic nutritional index (PNI) in predicting the biochemical recurrence (BCR) of patients treated with robot-assisted laparoscopic radical prostatectomy (RALP). METHODS: The clinical data of 136 patients treated with RALP in the Department of Urology, The Third Xiangya Hospital of Central South University were retrospectively analyzed. The endpoint of observation was BCR. The area under the receiver operating characteristic (ROC) curve was evaluated to determine the optimal cutoff value of PNI. The correlation of the PNI with BCR was estimated using Kaplan-Meier analysis and Cox proportional hazards model. RESULTS: The optimal cutoff value of the PNI was 46.03 according to the ROC curve. (95% confidence interval: 0.604-0.805, Youden index = 0.401, sensitivity = 82.5%, specificity = 57.6%, p < 0.01). Multivariate Cox analysis showed that clinical staging, prostate-specific antigen, and PNI were independent prognostic factors for predicting BCR in patients treated with RALP. CONCLUSION: PNI is an independent prognostic factor for predicting BCR in patients treated with RALP. The incorporation of the PNI into risk assessments may provide additional prognostic information.
Asunto(s)
Recurrencia Local de Neoplasia , Evaluación Nutricional , Antígeno Prostático Específico/sangre , Prostatectomía , Neoplasias de la Próstata , Procedimientos Quirúrgicos Robotizados , Anciano , Biomarcadores/sangre , China/epidemiología , Humanos , Masculino , Recurrencia Local de Neoplasia/sangre , Recurrencia Local de Neoplasia/diagnóstico , Estadificación de Neoplasias , Valor Predictivo de las Pruebas , Pronóstico , Prostatectomía/efectos adversos , Prostatectomía/métodos , Neoplasias de la Próstata/sangre , Neoplasias de la Próstata/epidemiología , Neoplasias de la Próstata/patología , Neoplasias de la Próstata/cirugía , Medición de Riesgo/métodos , Procedimientos Quirúrgicos Robotizados/efectos adversos , Procedimientos Quirúrgicos Robotizados/métodos , Sensibilidad y EspecificidadRESUMEN
Calcific aortic valve disease is a common, severe heart condition that is currently with no proven, effective drug treatment and requires a surgical valve replacement or an entire heart explanation. Thus, developing novel, targeted therapeutic approaches becomes a major goal for cardiovascular disease research. To achieve this goal, isolated heart valve interstitial cells could be an advanced model to explore molecular mechanisms and measure drug efficacy. Based on this progress, molecular mechanisms that harbor components of inflammation and fibrosis coupled with proteins, for example, BMP-2, TLRs, RANKL, Osteoprotegerin, have been proposed. Small molecules or antibodies targeting these proteins have shown promising efficacy for either reversing or slowing down calcification development in vitro. In this review, we summarize these potential therapeutics with some highlights of interstitial cellular models.
Asunto(s)
Estenosis de la Válvula Aórtica , Válvula Aórtica/patología , Calcinosis , Modelos Biológicos , Animales , Válvula Aórtica/citología , Válvula Aórtica/fisiopatología , Estenosis de la Válvula Aórtica/tratamiento farmacológico , Estenosis de la Válvula Aórtica/fisiopatología , Biomarcadores Farmacológicos/metabolismo , Calcinosis/tratamiento farmacológico , Calcinosis/fisiopatología , Descubrimiento de Drogas , Fibrosis/metabolismo , Fibrosis/fisiopatología , Humanos , Inflamación/metabolismo , Inflamación/fisiopatología , Transducción de Señal/fisiologíaRESUMEN
Objective: To assess the value of using the prognostic nutritional index (PNI) and serum albumin/globulin ratio (AGR) in predicting the overall survival (OS) of patients with penile cancer (PC) undergoing penectomy. Materials and methods: A retrospective analysis of 123 patients who were admitted to our hospital due to PC from April 2010 to September 2021 and who underwent penectomy were included in the study. The optimal cut-off value of the PNI and AGR was determined by receiver operating characteristic curve analysis. Kaplan-Meier analysis and the Cox proportional hazard model were used to evaluate the correlation between the PNI, AGR, and OS in patients with PC. Results: A total of 16 of the 123 patients died during the follow-up period, and the median follow-up time was 58.0 months. The best cut-off values of the PNI and AGR were set to 49.03 (95% confidence interval 0.705-0.888, Youden index = 0.517, sensitivity = 57.9%, specificity = 93.7%, p < 0.001) and 1.28 (95% confidence interval 0.610-0.860, Youden index = 0.404, sensitivity = 84.1%, specificity = 56.2%, p = 0.003). The Kaplan-Meier analysis showed that the OS of the patients in the high PNI group and the high AGR group was significantly higher than that of the patients in the low PNI group and the low AGR group (p < 0.001). The univariable analysis showed that the aCCI, the clinical N stage, the pathological stage, and the PNI, AGR, SII, and PLR are all predictors of OS in patients with PC (p < 0.05). The multivariable analysis showed that the PNI (risk rate [HR] = 0.091; 95% CI: 0.010-0.853; p = 0.036) and the AGR (risk rate [HR] = 0.171; 95% CI: 0.043-0.680; p = 0.012) are independent prognostic factors for predicting OS in patients with PC undergoing penectomy. Conclusions: Both the PNI score and the serum AGR are independent prognostic factors for predicting OS in patients with PC undergoing penectomy.