ABSTRACT
Purpose: The Danish Testicular Cancer (DaTeCa) database aims to monitor and improve quality of care for testicular cancer patients. Relapse data registered in the DaTeCa database rely on manual registration. Currently, some safeguarding against missing registrations is attempted by a non-validated register-based algorithm. However, this algorithm is inaccurate and entails time-consuming medical record reviews. We aimed (1) to validate relapse data as registered in the DaTeCa database, and (2) to develop and validate an improved register-based algorithm identifying patients diagnosed with relapse of clinical stage I testicular cancer. Patients and Methods: Patients registered in the DaTeCa database with clinical stage I testicular cancer from 2013 to 2018 were included. Medical record information on relapse data served as a gold standard. A pre-specified algorithm to identify relapse was tested and optimized on a random sample of 250 patients. Indicators of relapse were obtained from pathology codes in the Danish National Pathology Register and from diagnosis and procedure codes in the Danish National Patient Register. We applied the final algorithm to the remaining study population to validate its performance. Results: Of the 1377 included patients, 284 patients relapsed according to the gold standard during a median follow-up time of 5.9 years. The completeness of relapse data registered in the DaTeCa database was 97.2% (95% confidence interval (CI): 95.2-99.1). The algorithm achieved a sensitivity of 99.6% (95% CI: 98.7-100), a specificity of 98.9% (95% CI: 98.2-99.6), and a positive predictive value of 95.9% (95% CI: 93.4-98.4) in the validation cohort (n = 1127, 233 relapses). Conclusion: The registration of relapse data in the DaTeCa database is accurate, confirming the database as a reliable source for ongoing clinical quality assessments. Applying the provided algorithm to the DaTeCa database will optimize the accuracy of relapse data further, decrease time-consuming medical record review and contribute to important future clinical research.
ABSTRACT
UNLABELLED: Interleukin 8 (IL-8) is a chemotactic cytokine that binds with a high affinity to receptors expressed on neutrophils. Previous studies with various animal models showed that (99m)Tc-labeled IL-8 accumulates specifically and rapidly in infectious and inflammatory foci. The aims of the present study were to evaluate the safety of IL-8 in humans and to assess the value of (99m)Tc-IL-8 scintigraphy in patients with suspected localized infections. METHODS: (99m)Tc-IL-8 was intravenously injected at 400 MBq into 20 patients with various suspected localized infections. Patients were monitored for IL-8-related side effects for 4 h. Whole-body imaging was performed directly after injection and at 4 h after injection. Imaging after 24 h was performed for the first 7 patients and for subsequent patients when the results of (99m)Tc-IL-8 scintigraphy at 4 h after injection were normal or equivocal. Blood was drawn at several time points to determine the total number of leukocytes and leukocyte differentiation (all patients) and to determine pharmacokinetics (6 patients). RESULTS: (99m)Tc-IL-8 scintigraphy was performed for 20 patients (13 men and 7 women) with a mean age of 60 y (range, 21-76 y). No significant side effects were noted. Patients had suspected joint prosthesis infections (n = 9), osteomyelitis (n = 8), liver abscess (n = 1), and soft-tissue infections (n = 2). (99m)Tc-IL-8 was rapidly cleared from the blood and most other organs. In 10 of 12 patients with infections, (99m)Tc-IL-8 localized the infection at 4 h after injection. In 1 patient with vertebral osteomyelitis and in 1 patient with an infected knee prosthesis, (99m)Tc-IL-8 scintigraphy results were false-negative. In 8 patients with noninfectious disorders, no focal accumulation of (99m)Tc-IL-8 was found. CONCLUSION: Injection of (99m)Tc-IL-8 is well tolerated. (99m)Tc-IL-8 scintigraphy is a promising new tool for the detection of infections in patients as early as 4 h after injection.
