scholarly journals Addition of an online, validated family history questionnaire to the Dutch FIT-based screening programme did not improve its diagnostic yield

2020 ◽  
Vol 122 (12) ◽  
pp. 1865-1871
Author(s):  
Victorine H. Roos ◽  
Frank G. J. Kallenberg ◽  
Manon van der Vlugt ◽  
Evelien J. C. Bongers ◽  
Cora M. Aalfs ◽  
...  
2021 ◽  
Vol 108 (Supplement_2) ◽  
Author(s):  
M Abbakar ◽  
T James ◽  
P Boxall ◽  
M Lim

Abstract Introduction Guidelines on the management of hereditary colorectal cancers were updated in 2019. In this study, data from patients within the colonoscopy surveillance programme for hereditary cancer at York Teaching Hospitals Trust were analysed to assess category of risk and appropriateness of referrals to regional geneticists. Method After examination of electronic records and clinical notes, patients were assigned a risk category of average, moderate or high according to the Amsterdam criteria and latest BSG/ACPGBI/UKCGG guidelines. Patients were then assessed to see if a concurrent referral had been made to the regional cancer genetic services. Results There were 228 patients. 72(31.6%) patients were in the average, 81(35.5%) in the moderate and 41(18%) were in the high-risk category. 34 (14.9%) patients with insufficient data and/or assessments were in the indeterminate category. 18 of 72 (25%) patients with average risk were unnecessarily referred to the regional genetics team, while 5/41(12%) of high-risk patients were not. A large proportion of patients with insufficient data (19/34, 55.8%) were rightly or wrongly, referred to the regional genetics team. Conclusions Assessment of hereditary cancer risk is difficult in the absence of good quality information. Risk assessment may be improved with use of a dedicated family history questionnaire/template - this facilitates identification of high-risk patients that benefit most from referral to geneticists.


Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Pier D Lambiase ◽  
Juan C Kaski ◽  
Eileen Firman ◽  
Perry M Elliott ◽  
Akbar K Ahmed ◽  
...  

Introduction: Sudden arrhythmic death syndrome (SADS) arises through disorders of ion channel function or structural heart disease. It accounts for over 400 deaths in the UK per annum. To date there has been no comprehensive analysis of the diagnostic yield and efficacy of a family screening approach in SADS index cases where the post mortem heart is structurally normal after expert pathological review. Methods: 118 SADS families where the SADS victim died between 1 and 35 years of age were evaluated in a systematic family screening programme between 2003–2006. All SADS index cases had a structurally normal heart after expert review of all available tissue. All studied relatives underwent resting, signal averaged ECG, 24h Holter, exercise ECG with V0 2 max, transthoracic echocardiography and an ajmaline challenge test after initial clinical screening. Systematic mutation analysis was performed on the known long QT (LQT)genes including SCN5A & ryanodine receptor/ARVC genes when clinically suspected. Results: The most common modes of death were rest in 28%, sleep in 25% and exercise in 18%. Clinical screening identified an inherited electrical cause of SADS in 41 of the 118 families (35%)-20 Brugada, 18 LQT Syndrome, 3 Catecholiminergic Polymorphic Ventricular Tachycardia (CPVT). Structural heart disease was identified in 5 ARVC & 2 DCM families. 26 ICDs have been implanted in affected family members-4 LQTS, 7 Brugada, 2 CPVT, 2 ARVC, 2 DCM and 9 on clinical grounds without a definitive diagnosis. The ECG (37%) and ajmaline challenge test (49%) had the highest diagnostic yield in families with a positive diagnosis. To date, genetic testing has increased the diagnostic yield by 5% (6/118 families-2 KCNQ1, 1 HERG, 2 SCN5A, 1 ARVC ), confirming a clinical diagnosis in 6.6%–3 KCNQ1, 3 SCN5A, 1 HERG, 1 KCNH2. Conclusions: Systematic clinical screening in relatives of SADS victims has a diagnostic yield of 35% increasing to 40% with genetic testing. Electrical causes of SADS predominate in these families. These findings demonstrate that a systematic clinical screening programme in SADS families is both achievable and effective. The full impact of gene testing (including RyR mutations) upon diagnostic yield is awaited.


2022 ◽  
pp. 174749302110690
Author(s):  
Charlotte CM Zuurbier ◽  
Jacoba P Greving ◽  
Gabriel JE Rinkel ◽  
Ynte M Ruigrok

Background: Preventive screening for intracranial aneurysms is effective in persons with a positive family history of aneurysmal subarachnoid hemorrhage (aSAH), but for many relatives of aSAH patients, it can be difficult to assess whether their relative had an aSAH or another type of stroke. Aim: We aimed to develop a family history questionnaire for people in the population who believe they have a first-degree relative who had a stroke and to assess its accuracy to identify relatives of aSAH patients. Methods: A questionnaire to distinguish between aSAH and other stroke types (ischemic stroke and intracerebral hemorrhage) was developed by a team of clinicians and consumers. The level of agreement between the questionnaire outcome and medical diagnosis was pilot tested in 30 previously admitted aSAH patients. Next, the sensitivity and specificity of the questionnaire were assessed in 91 first-degree relatives (siblings/children) of previously admitted stroke patients. Results: All 30 aSAH patients were identified by the questionnaire in the pilot study; 29 of 30 first-degree relatives of aSAH patients were correctly identified. The questionnaire had a sensitivity of 97% (95% confidence interval (CI) = 83–100%) and a specificity of 93% (95% CI = 84–98%) when tested in the first-degree relatives of stroke patients. Conclusion: Our questionnaire can help persons to discriminate an aSAH from other types of stroke in their affected relative. This family history questionnaire is developed in the Netherlands but could also be used in other countries after validation.


2015 ◽  
Vol 148 (4) ◽  
pp. S-756
Author(s):  
Koen Kessels ◽  
Joey Eisinger ◽  
Tom Letteboer ◽  
Johan Offerhaus ◽  
Peter D. Siersema ◽  
...  

1978 ◽  
Vol 15 (1) ◽  
pp. 10-18 ◽  
Author(s):  
J. Cole ◽  
P. M. Conneally ◽  
M. E. Hodes ◽  
A. D. Merritt

2011 ◽  
Vol 13 (5) ◽  
pp. 443-446 ◽  
Author(s):  
Miranda Wijdenes-Pijl ◽  
Lidewij Henneman ◽  
Laura Cross-Bardell ◽  
Danielle R M Timmermans ◽  
Nadeem Qureshi

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