Investigating for GI malignancy in iron-deficiency anaemia-the case for risk stratification

Management of iron deficiency anaemia in secondary care across England between 2012 and 2018: a real-world analysis of Hospital Episode Statistics

OBJECTIVE

Iron deficiency anaemia (IDA) occurs in 2%-5% of men and postmenopausal women in the developed world and, if left untreated, can significantly impair quality of life or decompensate chronic illnesses. Approximately 10% of men and postmenopausal women with IDA have underlying gastrointestinal malignancy. This study identifies trends in the management of IDA in secondary care in England.

DESIGN/METHOD

The Hospital Episode Statistics database was used to analyse IDA-related hospital and outpatient admissions (elective and non-elective) in National Health Service England between April 2012 and March 2018. Outcome measures included rates of readmission, length of stay (LOS) and cost per admission.

RESULTS

Between 2012/2013 and 2017/2018, there was a 72% increase in hospital admissions for patients with a primary diagnosis of IDA and a 68% increase in hospital spells, with the number of cases being managed non-electively increasing by 58%. Non-electively managed patients had a longer LOS (3.10 vs 0.04 days, respectively) and increased rate of readmissions within 30 days (24.1% vs 6.6%) versus patients managed electively. Average day-case cost was £449 versus £1676 for non-elective admission. Across the 195 clinical commissioning groups (CCGs) in England, non-elective spells per 100 000 population demonstrated extensive and widening variability, ranging from 18 to 118 in 2017/2018 compared with 11-55 in 2012/2013.

CONCLUSION

The current analysis highlights several opportunities to improve patient outcomes and reduce costs. There is an opportunity to improve day-case services by looking at the difference between CCGs and the variability in care and to reduce the number of non-elective admissions.

The dedicated iron deficiency anaemia clinic: a 15-year experience

OBJECTIVE

To report our cumulative experience from a dedicated iron deficiency anaemia (IDA) clinic over the last 15 years-with particular emphasis on referral rate, uptake of investigation, impact on endoscopy services, diagnostic yield of gastrointestinal (GI) investigation and the issue of recurrent IDA.

METHOD

A series of analyses of a register of 2808 referrals to the Poole IDA clinic between 2004 and 2018.

RESULTS

The study population of 2808 had a sex ratio of 1.9 (female/male ratio) and a median age of 72 years (IQR: 60-79). A rising referral rate over the study period appears to be plateauing at around 2 cases per 1000 population per annum. On the basis of a snapshot audit, investigation of IDA may now account for over 20% of all diagnostic endoscopies.Overall, 86% of cases underwent examination of the upper and lower GI tract. Significant GI pathology was identified in 27% of the investigated cohort. Adenocarcinoma of the upper or lower GI tract was found in 8.3%, the majority in the right colon. The prevalence of recurrent IDA was estimated at 12.4%, and the results of investigation of this subgroup are reported.

CONCLUSION

Unexplained IDA is common, particularly in those over 60 years, and may be the first indication of underlying GI malignancy in over 8% of cases. Unresolved challenges include accommodating the resulting endoscopy workload, establishing a risk/benefit ratio for investigating those with major comorbidities and the management of recurrent IDA.

Potential roles of artificial intelligence learning and faecal immunochemical testing for prioritisation of colonoscopy in anaemia

Iron deficiency anaemia (IDA) is the most common cause of anaemia and a frequent indication for colonoscopy, although the prevalence of colorectal cancer (CRC) in IDA is low. Measurement of faecal haemoglobin by immunochemical techniques (FIT) is used to detect symptomatic patients. We studied FIT in patients with anaemia attending a gastroenterology clinic in Plymouth and looked at an artificial intelligence (AI) learning algorithm (ColonFlag™) in these patients, together with a cohort who had undergone colonoscopy for IDA in London. Of 592 patients referred on the basis of haemoglobin concentration, 21 (3.5%) had CRC. Using ColonFlag™, rather than haemoglobin concentration, in combination with symptoms, would have resulted in prioritisation of 304 patients for urgent referral rather than 592. One CRC would have been missed but might have been detected by FIT, which was not available in this case. In patients aged <55 years in whom the incidence of CRC is low, 15 rather than 109 patients would have been prioritised for urgent referral with no cancers missed. FIT has a high negative predictive value in IDA so its use may enable some patients to avoid investigation and AI learning may be a more useful trigger than haemoglobin concentration for urgent referral for colonoscopy.