Screening for Hypogonadism in Primary Healthcare: How to do this Effectively.

BACKGROUND: Testosterone, the most important androgen produced by the testes, plays an integral role in male health. Testosterone levels are increasingly being checked in primary healthcare as awareness of the risks of male hypogonadism grows. AIM: To investigate what tests are performed to screen for hypogonadism and to exclude secondary hypogonadism. DESIGN AND SETTING: All participants attended general practices in the UK. METHODS: Data search was performed using the EMIS®: clinical database (provider of the majority of GP operating systems in Cheshire). The anonymised records of male patients aged 18-98 years who had undergone a check of serum testosterone during a 10-year period were analysed. RESULTS: Overall screening rate was 4.3%. Of 8 788 men with a testosterone result, 1 924 men (21.9%) had a total testosterone level <10 nmol/L. Just 689 of 8 788 men (7.8%) had a sex hormone-binding globulin (SHBG) result, corresponding to 30.5% of those potentially hypogonadal. Estimated free testosterone was negatively associated with BMI (Spearman's rho -0.2, p<0.001) as was total testosterone in the over 50 s. Of 1 924 potentially hypogonadal men with a serum testosterone <10 nmol/L, 588 of 1 924 (30.6%) had a check of serum prolactin. 46.3% and 41.7% had LH and FSH measured, respectively. Only 19.1% of 1 924 men with a hypogonadal total testosterone level were subsequently put on testosterone replacement. The percentage of men in the relatively socially disadvantaged category was similar for both eugonadal and hypogonadal men with a much higher rate of screening for hypogonadism in more socially advantaged men. CONCLUSIONS: Screening in primary healthcare identified a significant minority of men who had potential hypogonadism. Interpretation of a low serum testosterone requires measurement of serum prolactin, LH and FSH in order to rule out secondary hypogonadism. We suggest that this becomes part of routine screening with a balanced screening approach across the socioeconomic spectrum.

Hypoglycaemia in the over 75s: Understanding the predisposing factors in type 2 diabetes (T2DM).

INTRODUCTION: Hypoglycaemia has been recognised as a problem in the treatment for type 2 diabetes. Here we describe how levels of HbA1C and treatment with a sulphonylurea or insulin relate to risk of significant hypoglycaemia. METHODS: Incident hypoglycaemia as recorded for the previous 10 years was determined from the GP records for patients with T2DM aged 75 years or more. RESULTS: The anonymised GP records of 5974 T2DM patients (2934 men and 3040 women) aged 75 years or more were analysed. Mean age of the men was 81.0 (95% confidence interval (CI) 80.9-81.2) years and of the women was 82.2 (95% CI 82.0-82.4) years. Hypoglycaemic events of significance were recorded in 4.9% of men and 5.1% of women. The prevalence of hypoglycaemia was higher in those with a higher concurrent HbA1C. HbA1C for those people with a recorded significant hypoglycaemic attack(s) was 57.9 (95% CI 56.4-59.4) mmol/mol compared to those with no history of hypoglycaemic episodes at 51.6 (95% CI 51.3-52.0) mmol/mol (p<0.002). Even for those on sulphonylurea and/or insulin treatment, hypoglycaemia prevalence increased with HbA1C: for patients with an HbA1C of <48mmol/mol, age and gender adjusted hypoglycaemia prevalence was 11.1%, for HbA1C of 48-57mmol/mol, prevalence 9.9%, for HbA1C 58-67mmol/mol prevalence, 13.2% and for HbA1C 68mmol/mol or more, prevalence of hypoglycaemia was 16.1%. There was a slight fall in HbA1C by age (normalised ß -0.069, p<0.001) and no difference by level of social disadvantage. Treatment with a sulphonylurea or insulin very significantly increased the likelihood of a hypoglycaemic episode: odds ratio (OR) 8.94 (95% CI 6.45-12.42), p<0.001, independent of age, BMI, Townsend index and gender. CONCLUSION: Prevalence of hypoglycaemia was greater in those individuals with higher HbA1C and in those on sulphonylurea/insulin treatment. Our findings suggest that it is variance in blood glucose rather than overall lower blood glucose levels that predisposes older people to hypoglycaemia.

Polycystic ovarian syndrome: Assessment of approaches to diagnosis and cardiometabolic monitoring in UK primary care.

INTRODUCTION: Polycystic ovarian syndrome (PCOS) is one of the commonest endocrine disorders affecting women of reproductive age. We examined the specific tests that are done in primary care to lead to the diagnosis of PCOS, and to support the diagnosis once made. METHODS: One thousand seven hundred and ninety-seven women were identified from a pooled GP practice database. The search included all patients defined with PCOS or related terms. Records included demographic information, medical history (diagnoses), blood test results and whether a pelvic ultrasound scan had been performed. RESULTS: The most common age of PCOS diagnosis was 20-29 years; 67.7% of the women had at least one concomitant Read-coded diagnosis. Most pelvic ultrasound scans were performed in the month immediately prior to diagnosis. In the 12 months prior to the diagnosis of PCOS being made, 30.5% of women underwent a measurement of their serum total testosterone level while 29.6% had their serum SHBG measured. For serum oestradiol, the corresponding statistics were 28.4%, LH 45.3% and for FSH 45.5% checked before diagnosis. Fasting blood glucose, random glucose and HbA1c were checked in 10.2%, 18.8% and 4.2%, of women before diagnosis, respectively, but in only 7.9%, 6.0% and 3.4% of women in the 24 months after diagnosis. There was a tendency for endocrine testing (oestradiol, LH, FSH, testosterone, SHBG) to peak in the weeks before diagnosis. For plasma glucose, testing was performed more evenly over time as for serum cholesterol. Of all women diagnosed with PCOS, 32.8% were prescribed metformin, 3.7% antihypertensives, 2.2% statins and 63.5% an oestrogen-containing contraceptive pill or HRT. CONCLUSION: The underlying pathophysiology of PCOS is still not fully understood. As a result, treatment is often focused on individual symptoms, not the syndrome itself. Robust laboratory led protocols would provide the necessary information to enable an appropriate diagnostic evaluation/cardometabolic monitoring.