Elderly Patients with Suppressed Serum TSH but Normal Free Thyroid Hormone Levels Usually Have Mild Thyroid Overactivity and are at Increased Risk of Developing Overt Hyperthyroidism

The clinical and biochemical characteristics of 15 elderly patientswith low levels of thyrotrophin (TSH) (<0.1 mU/L) but normalfree tri-iodothyronine, (T3) and free thyroxine (T4) (groupS) were compared with 10 euthyroid subjects (group E) and 10hyperthyroid patients (group T). Free T3 and free T4 were significantlyhigher (p<0.05) in group S(6.3±0.5 and 18.6±1.0pmol/l, respectively) than in group E(4.6±0.3, 12.6+0.6).In common with elderly hyperthyroid patients (group T)patientsin group S had few signs or symptoms of thyrotoxocosis, butthe Wayne score (clinical index of hyperthyroidism) was higherin group S than in euthyroid subjects (p<0.05). Thyroid microsomal,thyrogolobulin or thyrotrophin receptor antibodies were commonin group T (n=9)but not in groups S(n=2) or E(n=1). This suggestsa low prevalence of Graves' disease in group S compared to groupT. Combined thyrotrophin releasing hormone (TRH; 200 µgi.v.) and gonadotrophin releasing hormone GnRH; 100 µgi.v.) tests were performed; no cases of low TSH due to hypopituitarismwere identified in group S. During a mean of 7.9 (4–12)months of observation TSH reverted to the normal range (>0.2mU/L)in 7 of 15 patients in group S; thyroid hormone concentrationsrose above the normal range in four, however, only two patientsrequired treatment for hyperthyroidism. It is unlikely thatthe suppressed TSH of patients in group S was due to mild thyroidhormone excess; although this is often a transitory phenomenon,these patients are at increased risk of developing overt hyperthyroidism.     

马兜铃酸的倍半萜的酯类化合物VI.绵毛马兜铃中马兜铃酸萜酯I的结构鉴定

从绵毛马兜铃(Aristolocha mannisima Hance)中分得一个马兜铃酸倍半萜的酯类化合物,经红外、紫外、高分辩质谱和多种一维和二维核磁共振谱鉴定,确定了其骨架结构及顺反构型,命名为马兜铃酸萜酯I。     

Potential utility of data-mining algorithms for early detection of potentially fatal/disabling adverse drug reactions: a retrospective evaluation

The objective of this study was to apply 2 data-mining algorithms to a drug safety database to determine if these methods would have flagged potentially fatal/disabling adverse drug reactions that triggered black box warnings/drug withdrawals in advance of initial identification via "traditional" methods. Relevant drug-event combinations were identified from a journal publication. Data-mining algorithms using commonly cited disproportionality thresholds were then applied to the US Food and Drug Administration database. Seventy drug-event combinations were considered sufficiently specific for retrospective data mining. In a minority of instances, potential signals of disproportionate reporting were provided clearly in advance of initial identification via traditional pharmacovigilance methods. Data-mining algorithms have the potential to improve pharmacovigilance screening; however, for the majority of drug-event combinations, there was no substantial benefit of either over traditional methods. They should be considered as potential supplements to, and not substitutes for, traditional pharmacovigilance strategies. More research and experience will be needed to optimize deployment of data-mining algorithms in pharmacovigilance.