Cardiovascular morbidity and mortality in patients in Wales, UK with resistance to thyroid hormone ß (RTHß): a linked-record cohort study.

BACKGROUND: Individuals with resistance to thyroid hormone owing to mutations in the thyroid hormone receptor ß gene (RTHß) exhibit impaired tissue sensitivity to thyroid hormones, but retain sensitivity in cardiac tissue. Long-term health and survival outcomes in this rare disorder have not been evaluated. We investigated all-cause mortality and cardiovascular event risk in a cohort of patients with RTHß, followed-up in UK endocrine clinics. METHODS: In a retrospective cohort design, we linked genetically confirmed patients with RTHß and age-matched and sex-matched population controls to outcomes in datasets within the Welsh Secure Anonymised Information Linkage (SAIL) Databank. Kaplan-Meier and Cox regression models analysed associations of RTHß with all-cause mortality and cardiovascular events. FINDINGS: We identified 61 patients with a genetic diagnosis of RTHß between Jan 1, 1997, and Dec 31, 2019, and matched them with 2750 controls. Compared with controls, patients exhibited increased risks for all-cause mortality (hazard ratio [HR] 2·84, 95% CI 1·59-5·08), atrial fibrillation (10·56, 4·72-23·63), heart failure (HR 6·35, 95% CI 2·26-17·86), and major adverse cardiovascular events (MACE), comprising cardiovascular death, acute myocardial infarction, heart failure, or strokes (HR 3·49, 95% CI 2·04-5·99). The median age of first occurrence of any adverse event was 11 years earlier in patients (56 years, 95% CI 44-65) compared with controls (67 years, 65-70). Cubic spline analyses showed positive associations between FT4 concentrations at diagnosis and mortality or MACE, with FT4 concentration of 30 pmol/L or greater conferring increased risk. Compared with no intervention, treatment with antithyroid drugs, surgery or radioiodine gland ablation, or thyroxine did not control thyroid hormone excess. INTERPRETATION: We have documented reduced survival and increased cardiovascular morbidity in a cohort of patients with RTHß for the first time. These outcomes might be driven by lifelong cardiac exposure to thyroid hormone excess; and effective therapies, targeting hormone resistant pathways, could potentially curtail this risk. FUNDING: Royal College of Physicians, Wellcome Trust Investigator Award, and NIHR Cambridge Biomedical Research Centre.

Method-dependent variation in TSH and FT4 reference intervals in pregnancy: A systematic review.

BACKGROUND: Gestational TSH and FT4 reference intervals may differ according to assay method, but the extent of variation is unclear and has not been systematically evaluated. We conducted a systematic review of published studies on TSH and FT4 reference intervals in pregnancy. Our aim was to quantify method-related differences in gestation reference intervals, across four commonly used assay methods, Abbott, Beckman, Roche and Siemens. METHODS: We searched the literature for relevant studies, published between January 2000 and December 2020, in healthy pregnant women without thyroid antibodies or disease. For each study, we extracted trimester-specific reference intervals (2.5-97.5 percentiles) for TSH and FT4 as well as the manufacturer-provided reference interval for the corresponding non-pregnant population. RESULTS: TSH reference intervals showed a wide range of study-to-study differences with upper limits ranging from 2.33 to 8.30 mU/L. FT4 lower limits ranged from 4.40 to 13.93 pmol/L, with consistently lower reference intervals observed with the Beckman method. Differences between non-pregnant and first trimester reference intervals were highly variable, and for most studies, the TSH upper limit in the first trimester could not be predicted or extrapolated from non-pregnant values. CONCLUSIONS: Our study confirms significant intra- and intermethod disparities in gestational thyroid hormone reference intervals. The relationship between pregnant and non-pregnant values is inconsistent and does not support the existing practice in many laboratories of extrapolating gestation references from non-pregnant values. Laboratories should invest in deriving method-specific gestation reference intervals for their population.