RESUMEN
OBJECTIVES: This registry collected the 30-day and 9-month clinical outcomes of patients whose coronary stent implantation was suboptimal, and compared them with the cohort of patients with "optimal" stenting in the randomized portion of the STent Anti-thrombotic Regimen Study (STARS) trial. BACKGROUND: Although "optimal" stenting combined with an aspirin and ticlopidine regimen carries a low (0.5%) incidence of subacute stent thrombosis, only limited data are available for patients in whom stents are deployed suboptimally. METHODS: In the STARS, 312 (15.9%) of 1,965 patients enrolled were excluded from participation in the randomized trial based on a perceived "suboptimal" result of coronary stenting. Of these, 265 patients met prespecified criteria for suboptimal stenting, and were followed in a parallel registry, which was compared with the randomized STARS optimal stenting cohort. The primary end point was a 30-day composite of death, emergent target lesion revascularization, angiographic thrombosis of the target vessel without revascularization and nonfatal myocardial infarction (MI) unrelated to direct procedural complications. RESULTS: Registry patients had a similar frequency of the primary end point compared with the overall randomized cohort (3.0% vs. 2.2%), with this end point correlating to use of multiple stents, smaller final lumen diameter and absence of ticlopidine from the poststent regimen. Overall 30-day mortality (1.1% vs. 0.06%, p = 0.009) and periprocedural non-Q wave MI (8.7% vs. 4.2%, p = 0.003) were more frequent in registry patients, and appeared to be related to acute procedural complications. Clinical restenosis was significantly higher for registry patients (26.8% vs. 16.0%, p = 0.001), relating to greater prevalence of independent predictors such as smaller final lumen diameter and multiple stent use. CONCLUSIONS: In the STARS registry, the inability to perform optimal stenting correlated with smaller final lumen diameter and longer stent length. With ticlopidine-containing regimens, the acute clinical results of "suboptimal" stent deployment are clinically acceptable, although they are not quite as good as those of optimal stenting using similar drug therapy.
Asunto(s)
Angioplastia Coronaria con Balón/estadística & datos numéricos , Enfermedad Coronaria/terapia , Trombosis Coronaria/prevención & control , Evaluación de Procesos y Resultados en Atención de Salud/estadística & datos numéricos , Sistema de Registros , Stents/estadística & datos numéricos , Enfermedad Aguda , Anciano , Femenino , Humanos , Modelos Logísticos , Masculino , Persona de Mediana Edad , Recurrencia , Sistema de Registros/estadística & datos numéricos , Estadísticas no Paramétricas , Factores de Tiempo , Estados UnidosRESUMEN
A comparison of the ability of all published proposed clinical staging systems to predict time to prostate-specific antigen (PSA) failure after external beam radiation therapy for clinically localized prostate cancer was performed using an independent radiation database. Cox regression multivariable analyses were used to assess the significance of the proposed staging systems to predict time to post-radiation PSA failure in 465 radiation managed patients. Significant staging systems identified using Cox regression were further tested using established comparative estimates to define the most predictive system. Both the Risk Score staging system and the staging system based on the calculated volume of prostate cancer (cV(Ca)) and PSA optimized the prediction of time to post-treatment PSA failure. The cV(Ca)-PSA system, however, provided a more clinically useful stratification of outcome. Many clinical staging systems for prostate cancer have been proposed. A single clinical staging system for patients with localized prostate cancer based on parameters obtained during the routine workup provided a statistically and clinically significant stratification of outcome after external beam radiation therapy.
Asunto(s)
Neoplasias de la Próstata/radioterapia , Humanos , Masculino , Modelos Teóricos , Análisis Multivariante , Estadificación de Neoplasias , Valor Predictivo de las Pruebas , Antígeno Prostático Específico/sangre , Neoplasias de la Próstata/patología , Análisis de Supervivencia , Resultado del TratamientoRESUMEN
BACKGROUND: A clinical staging system based on the prostate-specific antigen (PSA) and the calculated prostate carcinoma volume (cVCa) construct previously has been proposed. This study was performed to assess whether this proposed clinical staging system was valid in an independent surgical and radiation data set in patients with clinically localized disease. METHODS: Cox regression multivariable analyses were used to assess the significance of staging systems (1992 American Joint Commission on Cancer Staging [AJCC] clinical and pathologic stage, versus cVCa-PSA clinical stage) to predict time to posttherapy PSA failure in 441 and 465 patients managed by surgery and radiation, respectively. Significant staging systems identified using Cox regression were tested further using established comparative measures to define the most clinically useful system. RESULTS: Both the 1992 AJCC pathologic stage and the cVCa-PSA clinical stage were significant predictors of time to postoperative PSA failure (P = 0.0001), whereas only the cVCa-PSA clinical stage was a significant predictor of time to postradiation PSA failure (P = 0.0001) using a Cox regression multivariable analysis. Further analyses using a pairwise comparison of the 1992 AJCC pathologic stage and cVCa-PSA clinical stage found the cVCa-PSA staging system provided a more clinically useful prediction of time to postoperative PSA failure. Specifically, the cVCa-PSA staging system was able to identify surgically managed patients with pathologic AJCC T2 disease who did poorly (3-year bNED = 22%) while also selecting patients with clinical AJCC T2b,c disease that was managed by radiation who did well (3-year bNED = 100%). CONCLUSIONS: A clinical staging system based on parameters obtained during the routine evaluation for AJCC clinical T1,2 prostate carcinoma provided a clinically useful stratification of both postoperative and postradiation PSA failure free survival.
Asunto(s)
Adenocarcinoma/sangre , Adenocarcinoma/patología , Estadificación de Neoplasias/métodos , Antígeno Prostático Específico/sangre , Neoplasias de la Próstata/sangre , Neoplasias de la Próstata/patología , Adenocarcinoma/radioterapia , Adenocarcinoma/cirugía , Adulto , Anciano , Análisis de Varianza , Supervivencia sin Enfermedad , Humanos , Masculino , Persona de Mediana Edad , Estadificación de Neoplasias/normas , Modelos de Riesgos Proporcionales , Neoplasias de la Próstata/radioterapia , Neoplasias de la Próstata/cirugía , Insuficiencia del TratamientoRESUMEN
BACKGROUND: A clinical staging system for localized prostate carcinoma that provides reliable information on which management decisions regarding an individual patient can be based is lacking. This study compared the abilities of all published proposed clinical staging systems to predict time to prostate specific antigen (PSA) failure after radical prostatectomy or external beam radiation therapy for clinically localized prostate carcinoma. METHODS: A total of 1441 clinically localized prostate carcinoma patients who were managed with radical prostatectomy at the University of Pennsylvania in Philadelphia (n = 688) or the Brigham and Women's Hospital in Boston (n = 288) or with external beam radiation therapy at the Joint Center for Radiation Therapy in Boston (n = 465) were entered into this study. Patients who received adjuvant or neoadjuvant hormonal or radiation therapy were excluded. Akaike's Information Criterion (AIC) and Schwartz Bayesian Criterion (SBC) estimates, which are comparative measures, were calculated for each clinical staging system. Pairwise comparisons of the AIC and SBC estimates for the most predictive clinical staging systems were performed using a formal bootstrap technique with 2000 replications. RESULTS: Both the staging system based on the risk score and the staging system based on the calculated volume of prostate carcinoma and PSA (cVCa-PSA) optimized the prediction of time to posttreatment PSA failure. The cVCa-PSA system, however, provided a more clinically useful stratification of outcome. CONCLUSIONS: Improved clinical staging for patients with localized prostate carcinoma may be possible with parameters obtained during routine evaluation. Validation by other investigators is underway.