ABSTRACT
Se realizó un estudio observacional y analítico para evaluar la utilidad de una nueva técnica de análisis estadístico implicativo en la identificación de los factores pronósticos de una entidad clínica en la provincia de Santiago de Cuba, de septiembre de 2013 a igual mes de 2014, en cuyo caso fue seleccionado el cáncer de pulmón por ser la neoplasia maligna más frecuente en el territorio. Como factores pronósticos de tumores pulmonares, según la regresión logística fueron identificados la afectación ganglionar, la presencia de metástasis y la localización central del tumor, y según el análisis estadístico implicativo se detectaron la afectación ganglionar, la presencia de metástasis, el grado III de diferenciación histológica y el estadio avanzado. El análisis estadístico implicativo resultó ser una técnica apropiada que complementa a la regresión logística en la identificación de factores pronósticos, pues se logra una mejor comprensión de la causalidad y eleva la calidad de este tipo de investigación.
An observational and analytic study to evaluate the usefulness of a new technique of statistical analysis involving the prediction factors identification of a clinical entity in Santiago de Cuba, was carried out from September, 2013 to the same month in 2014, in this case lung cancer was selected for being the most frequent malignancy in the territory. As prediction factors of lung tumors, according to the logistical regression the nodular involvement, the metastasis and the central localization of the tumor were identified, and according to the statistical involving analysis, the nodular involvement, and metastasis, histologic differentiation stage III and advanced stage were detected. The statistical involving analysis turned out to be an appropriate technique that supplements logistical regression in the prediction factors identification, because a better understanding of the causation is achieved and the quality of this investigation increases.
Subject(s)
Logistic Models , Data Interpretation, Statistical , Lung Neoplasms , PrognosisABSTRACT
Se efectuó un estudio analítico de casos y controles, a fin de evaluar la utilidad del análisis estadístico implicativo en la identificación de factores de riesgo en pacientes con neoplasia de pulmón, atendidos en los hospitales "Conrado Benítez García" y "Dr. Juan Bruno Zayas Alfonso" de Santiago de Cuba, desde el 1 de julio del 2012 hasta el 31 de junio del 2013. Se seleccionaron 50 casos mediante un muestreo sistemático aleatorio e igual cantidad de controles según muestreo por conglomerados en 4 etapas (1:1). Se compararon las técnicas de regresión logística y el análisis estadístico implicativo; la primera fue empleada como estándar de oro y se obtuvieron la sensibilidad, especificidad, razones de verosimilitud e índice de Kappa entre ambas. Se concluyó que las 2 técnicas se complementan en la identificación de factores de riesgo y permiten una interpretación más completa del fenómeno de la causalidad.
An analytic study of cases and controls was carried out, in order to evaluate the usefulness of the statistical analysis involved in the identification of risk factors in patients with lung neoplasia, assisted in "Conrado Benítez García" and "Dr. Juan Bruno Zayas Alfonso" hospitals in Santiago de Cuba, from July 1st, 2012 to June 31st, 2013. Fifty cases were selected by means of a random systematic sampling and the same quantity of controls according to sampling through conglomerates in 4 stages (1:1). Logistical regression techniques and the statistical analysis were compared; the first one was used as keystone and sensibility, specificity, reasons of verisimilitude and index of Kappa were obtained, between them. It is concluded that both techniques are supplemented in the identification of risk factors and they allow a more complete interpretation of the causality phenomenon.
Subject(s)
Data Interpretation, Statistical , Lung Neoplasms , Secondary Care , Logistic Models , Risk FactorsABSTRACT
BACKGROUND:The outcome of cardiopulmonary resuscitation (CPR) may depend on a variety of factors related to patient status or resuscitation management. To evaluate the factors influencing the outcome of CPR after cardiac arrest (CA) will be conducive to improve the effectiveness of resuscitation. Therefore, a study was designed to assess these factors in the emergency department (ED) of a city hospital.METHODS:A CPR registry conforming to the Utstein-style template was conducted in the ED of the First Affiliated Hospital of Wenzhou Medical College from January 2005 to December 2011. The outcomes of CPR were compared in various factors groups. The primary outcomes were rated to return of spontaneous circulation (ROSC), 24-hour survival, survival to discharge and discharge with favorable neurological outcomes. Univariate analysis and multivariable logistic regression analysis were performed to evaluate factors associated with survival.RESULTS:A total of 725 patients were analyzed in the study. Of these patients, 187 (25.8％) had ROSC, 100 (13.8％) survived for 24 hours, 48 (6.6％) survived to discharge, and 23 (3.2％) survived to discharge with favorable neurologic outcomes. A logistic regression analysis demonstrated that the independent predictors of ROSC included traumatic etiology, first monitored rhythms, CPR duration, and total adrenaline dose. The independent predictors of 24-hour survival included traumatic etiology, cardiac etiology, first monitored rhythm and CPR duration. Previous status, cardiac etiology, first monitored rhythms and CPR duration were included in independent predictors of survival to discharge and neurologically favorable survival to discharge.CONCLUSIONS:Shockable rhythms, CPR duration ≤15 minutes and total adrenaline dose ≤5 mg were favorable predictors of ROSC, whereas traumatic etiology was unfavorable. Cardiac etiology, shockable rhythms and CPR duration ≤15 minutes were favorable predictors of 24-hour survival, whereas traumatic etiology was unfavorable. Cardiac etiology, shockable rhythms, CPR duration ≤15 minutes were favorable predictors of survival to discharge and neurologically favorable survival to discharge, but previous terminal illness or multiple organ failure (MOF) was unfavorable.
ABSTRACT
Objective To study the factors influenceing patients' family members to make own relative fac-tors patients' families making decision on refusal of cardiopulmonary resuscitation (CPR) to the critical patients. Method Data were registered based on Utstein Style of 522 patients aged over 15 years, who subjected to in-hos-pital cardiac arrest(CA) in Department of Emergency of The First Affiliated Hospital of Wenzhou Medical College from January 2005 to December 2008. A total of 157 patients' family made refusal decision among the 522 pa-tients, who belonged to the refusal group, and others belonged to the attempt resuscitation group. The associated factors included age, sex, marriage, household register, cause of CA, underlying diseases, capability of activity before CA, life supported with mechanical ventilation, and administration of pressor agents. The refusal decisions were evaluated by using univariate Logistical regression analysis, and then the statistical significant variables were analyzed by using muhivanate Logistical regression analysis. Results Age, household register, cause of CA(car-diac or traumatic),stroke, sudden death, cancer, capability of activity before CA, life supported with mechanical ventilation,and administration of pressor agents were the important factors of making refusal decision (P < 0.01), but sexes or marriage was insignificant related to the refusal decision (P > 0. O5). The independent risk factors re-lated to refusal decision were age (P = 0.034),cancer (P = 0.006),stroke (P = 0.003), and life supported with mechanical ventilation (P = 0.000) in multivariate Logistical regression analysis, but the protective factors were sudden death (P =0.000),cardiac CA (P =0.020) and traumatic CA(P =0.000). Conclusions Age over 60 years, cancer, stroke, and life suppoted with assisted ventilation before CA were factors associated with re-fusal decision making, yet sudden death, cardiac CA and traumatic CA were factors of accepting CPR.