ABSTRACT
Background: Posttransplantation diabetes mellitus (PTDM) is a serious complication of solid organ transplantation. It is associated with major adverse cardiovascular events, which are a leading cause of morbidity and mortality in transplant patients. This study aimed to develop and validate a score to predict the risk of PTDM in kidney transplant recipients. Methods: A single-center retrospective cohort study was conducted in a tertiary care hospital in Medellín, Colombia, between 2005 and 2019. Data from 727 kidney transplant recipients were used to develop a risk prediction model. Significant predictors with competing risks were identified using time-dependent Cox proportional hazard regression models. To build the prediction model, the score for each variable was weighted using calculated regression coefficients. External validation was performed using independent data, including 198 kidney transplant recipients from Tübingen, Germany. Results: Among the 727 kidney transplant recipients, 122 developed PTDM. The predictive model was based on 5 predictors (age, gender, body mass index, tacrolimus therapy, and transient posttransplantation hyperglycemia) and exhibited good predictive performance (C-index: 0.7 [95% confidence interval, 0.65-0.76]). The risk score, which included 33 patients with PTDM, was used as a validation data set. The results showed good discrimination (C-index: 0.72 [95% confidence interval, 0.62-0.84]). The Brier score and calibration plot demonstrated an acceptable fit capability in external validation. Conclusions: We proposed and validated a prognostic model to predict the risk of PTDM, which performed well in discrimination and calibration, and is a simple score for use and implementation by means of a nomogram for routine clinical application.
ABSTRACT
OBJECTIVE: To determine the association between delayed diagnosis and advanced clinical stage breast cancer, and to explore the factors that influence this delay. METHODS: Cross-sectional study of women over 18 years of age with breast cancer who attended 4 oncology centers in Medellín, Colombia, in 2017. The "Breast Cancer Delay Questionnaire" which includes sociodemographic and clinical variables as well as time intervals was used. Crude and adjusted odds ratio (OR) were estimated, using advanced clinical stage as outcome and delayed diagnosis as exposure. RESULTS: 42 patients were included. The median time interval between the identification of the problem and the diagnostic biopsy was 104.5 days; between the identification of the problem and the first medical visit, 20 days; and between the first visit and the diagnostic biopsy, 53 days. Of all the cases, 52.1 % were diagnosed at an advanced stage. An association was found between delayed diagnosis and advanced clinical stage (OR = 2.15 95 % CI 1.21-3.79). Age above 40 was found to be a protective factor against having an advanced-stage lesion (OR = 0.35; 95 % CI: 0.14-0.83). Delayed diagnosis was associated with affiliation to the government subsidized health system (OR = 9.67; 95 % CI 2.76- 33.9) and age over 40 years (OR = 2.75; 95 % CI1.16-6.53). CONCLUSIONS: Patient education is required in order to ensure adherence to early screening programs or timely consultation whenever a sign or symptom is identified, thus allowing diagnosis at an early stage of the disease. Moreover, prospective studies are needed in order to identify factors associated with delays in treatment after the diagnosis of breast cancer, and to assess interventions designed to reduce delays in the care of this form of cancer.
TITULO: ASOCIACIÓN ENTRE RETRASO EN EL DIAGNÓSTICO Y ESTADIO CLÍNICO AVANZADO DE CÁNCER DE MAMA AL MOMENTO DE LA CONSULTA EN CUATRO CENTROS ONCOLÓGICOS DE MEDELLÍN, COLOMBIA, 2017. ESTUDIO DE CORTE TRANSVERSAL. OBJETIVO: Establecer la asociación entre el retraso en el diagnóstico de cáncer de mama con un estadio clínico avanzado y explorar factores que influyen en dicho retraso. METODOS: Estudio de corte transversal con mujeres mayores de 18 años con cáncer de mama que consultaron en cuatro centros oncológicos de Medellín, Colombia, en 2017. Se usó el Breast Cancer Delay Questionnaire que incluye variables sociodemográficas, clínicas y de tiempos de atención. Se estimó el odds ratio (OR) crudo y ajustado por medio de una regresión logística con el estadio clínico avanzado como desenlace y el retraso diagnóstico como exposición. RESULTADOS: Se incluyeron 242 pacientes. La mediana del tiempo entre identificar el problema y la biopsia diagnóstica fue 104,5 días; entre identificar el problema y la primera consulta médica, 20 días, y de la primera consulta a la biopsia diagnóstica fue de 53 días. El 52,1 % se diagnosticó en estadio avanzado. Hubo asociación del retraso diagnóstico con estadio clínico avanzado (OR = 2,15; IC 95 %: 1,21-3,79). Se encontró que la edad mayor a 40 años es un factor protector contra una lesión avanzada (OR = 0,35; IC 95 %: 0,14-0,83). El retraso diagnóstico se asoció con estar afiliada al régimen subsidiado por el Estado (OR = 9,67; IC 95 %: 2,76-33,9) y tener edad mayor a 40 años (OR = 2,75; IC 95 %: 1,16-6,53). CONCLUSIONES: Se requieren intervenciones educativas en las pacientes para adherir a los programas de tamización temprana o la consulta oportuna al identificar un signo o síntoma, para lograr un diagnóstico en estadios tempranos de la enfermedad. Además, se requieren estudios prospectivos para determinar los factores relacionados con la demora en recibir el tratamiento una vez diagnosticado el cáncer de seno y evaluar las intervenciones destinadas a disminuir las dilaciones en la atención de este cáncer.
Subject(s)
Breast Neoplasms/diagnosis , Delayed Diagnosis , Referral and Consultation/statistics & numerical data , Adult , Aged , Biopsy , Breast Neoplasms/pathology , Cancer Care Facilities/statistics & numerical data , Colombia/epidemiology , Cross-Sectional Studies , Early Detection of Cancer , Female , Humans , Middle Aged , Neoplasm Staging , Sample Size , Socioeconomic Factors , Symptom AssessmentABSTRACT
RESUMEN Objetivo: establecer la asociación entre el retraso en el diagnóstico de cáncer de mama con un estadio clínico avanzado y explorar factores que influyen en dicho retraso. Materiales y métodos: estudio de corte transversal con mujeres mayores de 18 años con cáncer de mama que consultaron en cuatro centros oncológicos de Medellín, Colombia, en 2017. Se usó el Breast Cancer Delay Questionnaire que incluye variables sociodemográficas, clínicas y de tiempos de atención. Se estimó el odds ratio (OR) crudo y ajustado por medio de una regresión logística con el estadio clínico avanzado como desenlace y el retraso diagnóstico como exposición. Resultados: se incluyeron 242 pacientes. La mediana del tiempo entre identificar el problema y la biopsia diagnóstica fue 104,5 días; entre identificar el problema y la primera consulta médica, 20 días, y de la primera consulta a la biopsia diagnóstica fue de 53 días. El 52,1 % se diagnosticó en estadio avanzado. Hubo asociación del retraso diagnóstico con estadio clínico avanzado (OR = 2,15; IC 95 %: 1,21-3,79). Se encontró que la edad mayor a 40 años es un factor protector contra una lesión avanzada (OR = 0,35; IC 95 %: 0,14-0,83). El retraso diagnóstico se asoció con estar afiliada al régimen subsidiado por el Estado (OR = 9,67; IC 95 %: 2,76-33,9) y tener edad mayor a 40 años (OR = 2,75; IC 95 %: 1,16-6,53). Conclusión: se requieren intervenciones educativas en las pacientes para adherir a los programas de tamización temprana o la consulta oportuna al identificar un signo o síntoma, para lograr un diagnóstico en estadios tempranos de la enfermedad. Además, se requieren estudios prospectivos para determinar los factores relacionados con la demora en recibir el tratamiento una vez diagnosticado el cáncer de seno y evaluar las intervenciones destinadas a disminuir las dilaciones en la atención de este cáncer.
ABSTRACT Objective: To determine the association between delayed diagnosis and advanced clinical stage breast cancer, and to explore the factors that influence this delay. Materials and methods: Cross-sectional study of women over 18 years of age with breast cancer who attended 4 oncology centers in Medellín, Colombia, in 2017. The "Breast Cancer Delay Questionnaire" which includes sociodemographic and clinical variables as well as time intervals was used. Crude and adjusted odds ratio (OR) were estimated, using advanced clinical stage as outcome and delayed diagnosis as exposure. Results: 242 patients were included. The median time interval between the identification of the problem and the diagnostic biopsy was 104.5 days; between the identification of the problem and the first medical visit, 20 days; and between the first visit and the diagnostic biopsy, 53 days. Of all the cases, 52.1 % were diagnosed at an advanced stage. An association was found between delayed diagnosis and advanced clinical stage (OR = 2.15 95 % CI 1.21-3.79). Age above 40 was found to be a protective factor against having an advanced-stage lesion (OR = 0.35; 95 % CI: 0.14-0.83). Delayed diagnosis was associated with affiliation to the government subsidized health system (OR = 9.67; 95 % CI 2.76- 33.9) and age over 40 years (OR = 2.75; 95 % CI: 1.16-6.53). Conclusion: Patient education is required in order to ensure adherence to early screening programs or timely consultation whenever a sign or symptom is identified, thus allowing diagnosis at an early stage of the disease. Moreover, prospective studies are needed in order to identify factors associated with delays in treatment after the diagnosis of breast cancer, and to assess interventions designed to reduce delays in the care of this form of cancer.
Subject(s)
Breast Neoplasms , Delayed Diagnosis , Time-to-TreatmentABSTRACT
BACKGROUND: The family of KIDSCREEN instruments is the only one with trans-cultural adaptation and validation in Colombia. These validations have been performed from the classical test theory approach, which has evidenced satisfactory psychometric properties. The aim of this study was to evaluate psychometric properties of KIDSCREEN-27 children and parent-proxy versions, through Rasch analysis. METHODS: The participants in the present study were two different sets of populations, 321 kids with a mean age of 12.3 (SD 2.6), 41 % 8 to 11 years old and 59 % 12 to 18 years old; and 1150 parent-proxy with an average age of 45.5 (SD 18.9). Psychometric properties were assessed using the partial credits model in the Rasch approach. Unidimensionality, fitting of person and item, response form, and differential item functioning (DIF) were measured. RESULTS: The Infit MNSQ in child self-reported version that ranges between 0.71-1.76, and 0.69-1.31 in the parent-proxy version. Scores gathered on Likert forms of 5-response options, person separation was 2.08 for child self-reported version and 2.40 for parent-proxy; reliability was 0.81 and 0.85, respectively. Items reliability was 0.99 on both versions, with separations of 11.92 for child self-reported and 10.83 for parent-proxy. There was not DIF according to the variables sex and age but was present according to socioeconomic status. CONCLUSION: There was a good fit for items and individuals to the Rasch model. Item separation was adecuate, and person separation improved when the response form was re-codified to four options. The presence of DIF according to socioeconomic status implies a scale's bias in the measure of HRQoL of Colombian children.
