ABSTRACT
BACKGROUND: The IDENTIFY study developed a model to predict urinary tract cancer using patient characteristics from a large multicentre, international cohort of patients referred with haematuria. In addition to calculating an individual's cancer risk, it proposes thresholds to stratify them into very-low-risk (<1%), low-risk (1-<5%), intermediate-risk (5-<20%), and high-risk (≥20%) groups. OBJECTIVE: To externally validate the IDENTIFY haematuria risk calculator and compare traditional regression with machine learning algorithms. DESIGN, SETTING, AND PARTICIPANTS: Prospective data were collected on patients referred to secondary care with new haematuria. Data were collected for patient variables included in the IDENTIFY risk calculator, cancer outcome, and TNM staging. Machine learning methods were used to evaluate whether better models than those developed with traditional regression methods existed. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The area under the receiver operating characteristic curve (AUC) for the detection of urinary tract cancer, calibration coefficient, calibration in the large (CITL), and Brier score were determined. RESULTS AND LIMITATIONS: There were 3582 patients in the validation cohort. The development and validation cohorts were well matched. The AUC of the IDENTIFY risk calculator on the validation cohort was 0.78. This improved to 0.80 on a subanalysis of urothelial cancer prevalent countries alone, with a calibration slope of 1.04, CITL of 0.24, and Brier score of 0.14. The best machine learning model was Random Forest, which achieved an AUC of 0.76 on the validation cohort. There were no cancers stratified to the very-low-risk group in the validation cohort. Most cancers were stratified to the intermediate- and high-risk groups, with more aggressive cancers in higher-risk groups. CONCLUSIONS: The IDENTIFY risk calculator performed well at predicting cancer in patients referred with haematuria on external validation. This tool can be used by urologists to better counsel patients on their cancer risks, to prioritise diagnostic resources on appropriate patients, and to avoid unnecessary invasive procedures in those with a very low risk of cancer. PATIENT SUMMARY: We previously developed a calculator that predicts patients' risk of cancer when they have blood in their urine, based on their personal characteristics. We have validated this risk calculator, by testing it on a separate group of patients to ensure that it works as expected. Most patients found to have cancer tended to be in the higher-risk groups and had more aggressive types of cancer with a higher risk. This tool can be used by clinicians to fast-track high-risk patients based on the calculator and investigate them more thoroughly.
ABSTRACT
We discuss the case of a 67-year-old man who presented with a right-sided abdominal pain and on subsequent radiological imaging(s) in the form of an enhanced computed tomography scan of the abdomen and pelvis followed by a delayed excretory phase (computed tomography urogram), found to have a distal 4 mm vesicoureteric junction stone which had caused a pelvicoureteric junction rupture which was evident on extravasation of contrast. This warranted an urgent surgical intervention in the form of ureteric stent insertion. This case clearly depicts that with even a small stone associated with severe flank pain, rupture or pelvicoureteric junction/calyces should be suspected and we should never overlook symptoms and push for medical expulsive therapy in patients who do not appear to be septic or obstructed. This work has been reported in line with the Surgical CAse REport (SCARE) criteria.
ABSTRACT
Injury to the underlying bowel is a serious potential complication following inguinal hernia mesh repair. Here the authors describe a rare case of a 69-year-old gentleman who initially presented with a deep collection in the retroperitoneum, which extended into the extraperitoneal space on the anterior abdominal wall 3 weeks following left inguinal hernioplasty. Early sigmoid perforation involving the inguinal hernia mesh repair was diagnosed, and he underwent a successful Hartmann's procedure with mesh removal.
ABSTRACT
This is the first ever reported case of mpox (monkeypox) causing penile lesions and acute urinary retention (AUR) in a homosexual man, who had intercourse with his confirmed positive mpox (monkeypox) partner. The patient did not have any significant comorbidities and was managed conservatively with an urgent urethral catheter and co-amoxiclav as per the microbiologist's advice to cover for his skin soft tissue infection (SSI). His blood parameters, urine and blood cultures were all normal. He was successfully trialled without a catheter (TWOCd) in a few days and was discharged home with an outpatient follow-up plan in Andrology Clinic with a flow rate, postvoid residual (PVR), International Prostate Symptoms Score (IPSS) and pain score. He was also planned to be contacted by the sexual health team to ensure a holistic follow-up.
