Prevalencia del cáncer del tracto urinario. Análisis de la cohorte española del estudio IDENTIFY / Prevalence of urinary tract cancer in the Spanish cohort of the IDENTIFY study

Introducción Los tumores malignos del tracto urinario están asociados a gran morbimortalidad siendo su prevalencia variable a nivel global. Recientemente el estudio IDENTIFY ha publicado resultados sobre la prevalencia del cáncer del tracto urinario a nivel internacional. Este estudio evalúa la prevalencia de cáncer dentro de la cohorte española del estudio IDENTIFY para determinar si los resultados publicados son extrapolables a nuestra población. Material y métodos Se realizó un análisis de los datos de la cohorte de pacientes españoles del estudio IDENTIFY. Se trata de una cohorte prospectiva de pacientes derivados al hospital con sospecha de cáncer, predominantemente por hematuria. Los pacientes fueron reclutados entre diciembre de 2017 y diciembre de 2018. Resultados En total 706 pacientes procedente de 9 centros españoles fueron analizados. Doscientos setenta y siete pacientes (39,2%) fueron diagnosticados de cáncer, 259 (36,7%) de cáncer vejiga, 10 (1,4%) de tracto urinario superior, 9 (1,2%) renal y 5 (0,7%) de próstata. El aumento de la edad (OR: 1,05; IC 95%: 1,03-1,06; p<0,001), presencia de hematuria visible (OR: 2,19; IC 95%: 1,13-4,24; p=0,02) y el hábito tabáquico (exfumadores: OR: 2,11; IC 95%: 1,30-3,40; p=0,002; fumadores: OR: 2,36; IC 95%: 1,40-3,95; p=0,001) se asocia con mayor probabilidad de cáncer vesical. Conclusión Este estudio resalta el riesgo que existe en pacientes con HV y hábito tabáquico de presentar cáncer de vejiga. El cáncer de vejiga presentó la mayor prevalencia, siendo esta mayor que la expuesta en series previas y la presentada en el estudio IDENTIFY. Trabajos futuros deben evaluar otros factores asociados que permitan crear modelos de predicción de cáncer para seguir aumentando la detección de estos en nuestros pacientes. (AU)

Introduction Malignant tumors of the urinary tract are associated with high morbidity and mortality, and their prevalence can vary worldwide. Recently, the IDENTIFY study has published results on the prevalence of urinary tract cancer at a global level. This study evaluates the prevalence of cancer within the Spanish cohort of the IDENTIFY study to determine whether the published results can be extrapolated to our population. Patients and methods An analysis of the data from the Spanish cohort of patients in the IDENTIFY study was performed. This is a prospective cohort of patients referred to secondary care with suspected cancer, predominantly due to hematuria. Patients were recruited between December 2017 and December 2018. Results A total of 706 patients from 9 Spanish centers were analyzed. Of these, 277 (39.2%) were diagnosed with cancer: 259 (36.7%) bladder cancer, 10 (1.4%) upper tract urothelial carcinoma, 9 (1.2%) renal cancer and 5 (0.7%) prostate cancer. Increasing age (OR: 1.05; 95% CI: 1.03-1.06; P<.001), visible hematuria (VH) OR: 2.19; 95% CI: 1.13-4.24; P=.02)and smoking (ex-smokers: OR: 2.11; 95% CI: 1.30-3.40; P=.002); (smokers: OR: 2.36; 95% CI: 1.40-3.95; P=.001) were associated with higher probability of bladder cancer. Conclusion This study highlights the risk of bladder cancer in patients with VH and smoking habits. Bladder cancer presented the highest prevalence; higher than the prevalence reported in previous series and presented in the IDENTIFY study. Future work should evaluate other associated factors that allow us to create cancer prediction models to improve the detection of cancer in our patients. (AU)

Prevalence of urinary tract cancer in the Spanish cohort of the IDENTIFY study.

INTRODUCTION: Malignant tumors of the urinary tract are associated with high morbidity and mortality, and their prevalence can vary worldwide. Recently, the IDENTIFY study has published results on the prevalence of urinary tract cancer at a global level. This study evaluates the prevalence of cancer within the Spanish cohort of the IDENTIFY study to determine whether the published results can be extrapolated to our population. PATIENTS AND METHODS: An analysis of the data from the Spanish cohort of patients in the IDENTIFY study was performed. This is a prospective cohort of patients referred to secondary care with suspected cancer, predominantly due to hematuria. Patients were recruited between December 2017 and December 2018. RESULTS: A total of 706 patients from 9 Spanish centers were analyzed. Of these, 277 (39.2%) were diagnosed with cancer: 259 (36.7%) bladder cancer, 10 (1.4%) upper tract urothelial carcinoma, 9 (1.2%) renal cancer and 5 (0.7%) prostate cancer. Increasing age (OR 1.05 (95% CI 1.03-1.06; P < 0.001)), visible hematuria (VH) OR 2.19 (95% CI 1.13-4.24; P = 0.02)) and smoking (ex-smokers: OR 2.11(95% CI 1.30-3.40; P = 0.002); smokers: OR 2.36 (95% CI 1.40-3.95; P = 0.001)) were associated with higher probability of bladder cancer. CONCLUSION: This study highlights the risk of bladder cancer in patients with VH and smoking habits. Bladder cancer presented the highest prevalence; higher than the prevalence reported in previous series and presented in the IDENTIFY study. Future work should evaluate other associated factors that allow us to create cancer prediction models to improve the detection of cancer in our patients.

Prostatitis: A Review.

PURPOSE OF REVIEW: Pathologies of the prostate in men are one of the most prevalent clinical conditions today [1]. Specifically, pelvic inflammatory disease such as prostatitis can cause symptoms and syndromes different from urological ones, such as bowel or nervous system manifestations. This has a largely negative impact on the quality of life of patients. Therefore, it is convenient to know and update the information about the therapeutic approach to prostatitis, which is a challenge that involves different medical specialties. The aim of this article is to provide summarized and focused evidence to help in the therapeutic approach of patients with prostatitis. A computer-based search of the PubMed and Cochrane Library databases was used to perform a comprehensive literature review on prostatitis, with special interest in recent findings and latest therapeutic guideline recommendations. RECENT FINDINGS: Recent discoveries about the epidemiology and clinical classifications of prostatitis seem to incur in an increasingly individualized and directed management, with the aim of covering all the confluent factors in prostatic inflammatory pathology. In addition, the role of new drugs and combination with phytotherapy open up a range of new treatment possibilities, although future randomized studies will be necessary to better understand how to use all treatment modalities. Despite all the knowledge acquired about the pathophysiology of prostate diseases, and due to their interrelation with other pelvic systems and organs, there are still gaps that make it difficult for us to provide an optimal and standardized treatment in many of our patients. Being aware of the influence of all the factors potentially involved in prostate symptoms is crucial for a correct diagnosis and establishing an effective treatment plan.

Inteligencia artificial y simulación en urología / Artificial intelligence and simulation in urology

Introducción y objetivo: La inteligencia artificial (IA) está en pleno desarrollo, y su implementación en la medicina ha supuesto una mejora en la práctica clínica y quirúrgica. Una de sus múltiples aplicaciones es el entrenamiento quirúrgico, con la creación de programas que permiten evitar complicaciones y riesgos para el paciente. El objetivo de este artículo es analizar las ventajas de la IA aplicada al entrenamiento quirúrgico en urología.Material y métodosSe realiza una revisión de la literatura de los artículos publicados en inglés sobre la IA aplicada a la medicina, especialmente a la cirugía y a la adquisición de habilidades quirúrgicas.ResultadosEl entrenamiento quirúrgico ha evolucionado con el tiempo gracias a la IA. Se ha creado un modelo de aprendizaje quirúrgico en el que las habilidades se adquieren de forma gradual, evitando complicaciones al paciente. El uso de simuladores permite un aprendizaje progresivo en el que la cantidad y la complejidad de los procedimientos aumentan progresivamente. Adicionalmente, la IA se utiliza en pruebas de imagen para planificar cirugías o tratamientos.ConclusiónActualmente el uso de la IA en la práctica clínica diaria supone un avance en la medicina, y en particular en la formación quirúrgica. (AU)

Introduction and objective: Artificial intelligence (AI) is in full development and its implementation in medicine has led to an improvement in clinical and surgical practice. One of its multiple applications is surgical training, with the creation of programs that allow avoiding complications and risks for the patient. The aim of this article is to analyze the advantages of AI applied to surgical training in urology.Material and methodsA literary research is carried out to identify articles published in English regarding AI applied to medicine, especially in surgery and the acquisition of surgical skills.ResultsSurgical training has evolved over time thanks to AI. A model for surgical learning where skills are acquired in a progressive way while avoiding complications to the patient, has been created. The use of simulators allows a progressive learning, providing trainees with procedures that increase in number and complexity. On the other hand, AI is used in imaging tests for surgical or treatment planning.ConclusionCurrently, the use of AI in daily clinical practice has led to progress in medicine, specifically in surgical training. (AU)

Artificial intelligence and simulation in urology.

INTRODUCTION AND OBJECTIVE: Artificial intelligence (AI) is in full development and its implementation in medicine has led to an improvement in clinical and surgical practice. One of its multiple applications is surgical training, with the creation of programs that allow avoiding complications and risks for the patient. The aim of this article is to analyze the advantages of AI applied to surgical training in urology. MATERIAL AND METHODS: A literary research is carried out to identify articles published in English regarding AI applied to medicine, especially in surgery and the acquisition of surgical skills. RESULTS: Surgical training has evolved over time thanks to AI. A model for surgical learning where skills are acquired in a progressive way while avoiding complications to the patient, has been created. The use of simulators allows a progressive learning, providing trainees with procedures that increase in number and complexity. On the other hand, AI is used in imaging tests for surgical or treatment planning. CONCLUSION: Currently, the use of AI in daily clinical practice has led to progress in medicine, specifically in surgical training.

Artificial intelligence and simulation in urology. / Inteligencia artificial y simulación en urología.

INTRODUCTION AND OBJECTIVE: Artificial intelligence (AI) is in full development and its implementation in medicine has led to an improvement in clinical and surgical practice. One of its multiple applications is surgical training, with the creation of programs that allow avoiding complications and risks for the patient. The aim of this article is to analyze the advantages of AI applied to surgical training in urology. MATERIAL AND METHODS: A literary research is carried out to identify articles published in English regarding AI applied to medicine, especially in surgery and the acquisition of surgical skills. RESULTS: Surgical training has evolved over time thanks to AI. A model for surgical learning where skills are acquired in a progressive way while avoiding complications to the patient, has been created. The use of simulators allows a progressive learning, providing trainees with procedures that increase in number and complexity. On the other hand, AI is used in imaging tests for surgical or treatment planning. CONCLUSION: Currently, the use of AI in daily clinical practice has led to progress in medicine, specifically in surgical training.