The acute-to-chronic glycemic ratio correlates with the severity of illness at admission in patients with diabetes experiencing acute ischemic stroke.

Acute hyperglycemia is a powerful indicator of the severity of acute ischemic stroke (AIS); however, the relationship between these two factors is not very clear in patients with diabetes. We aimed to retrospectively evaluate data from 335 consecutive patients who experienced AIS from November 2015 to November 2016 to investigate whether a comprehensive assessment of blood glucose levels is a more valuable indicator of the severity of AIS or the presence of acute hyperglycemia in patients with diabetes. We collected demographic data, clinical manifestation information, clinical scores, and laboratory data [including fasting blood glucose and glycated hemoglobin (HbA1c) levels]. We estimated prehospital mean blood glucose concentrations using the following formula [1.59 * HbA1c (%) - 2.59] to calculate the "Acute-to-Chronic Glycemic Ratio" (AC ratio). The AC ratio differed significantly among patients grouped according to the National Institutes of Health Stroke Scale/Score (NIHSS) at admission (admission NIHSS) (p = 0.006). Univariate regression analysis revealed a correlation between the AC ratio and admission NIHSS [standardized ß-coefficient (Std. B) = 0.164, p = 0.004]. The adjusted linear regression analysis revealed a correlation between both HbA1c (Std. B = 0.368, p = 0.038) and the AC ratio (Std. B = 0.262, p = 0.022) and admission NIHSS. The AC ratio (Std. B = 0.161, p = 0.012) was related to admission NIHSS in the stepwise variable selection. For an admission NIHHS > 4, the AC ratio (Std. B = 0.186, p = 0.047) was related to admission NIHSS in the stepwise variable selection. The AC ratio (Std. B = 1.163, p = 0.006 and Std. B = 0.565, p = 0.021, respectively) were related to admission NIHSS in both large-artery atherosclerosis (LAA) and small-vessel occlusion (SVO) subgroups. Thus, the AC ratio is related to admission NIHSS in patients with diabetes who experienced AIS and may be a better indicator of severity than acute blood glucose levels.

Improving the accuracy and efficacy of diagnosing polycystic ovary syndrome by integrating metabolomics with clinical characteristics: study protocol for a randomized controlled trial.

BACKGROUND: Polycystic ovary syndrome (PCOS) is a complex endocrine syndrome with poorly understood mechanisms. To provide patients with PCOS with individualized therapy, it is critical to precisely diagnose the phenotypes of the disease. However, the criteria for diagnosing the different phenotypes are mostly based on symptoms, physical examination and laboratory results. This study aims to compare the accuracy and efficacy of diagnosing PCOS by integrating metabolomic markers with common clinical characteristics. METHODS: This is a prospective, multicenter, analyst-blinded, randomized controlled trial. Participants will be grouped into (1) people without PCOS (healthy control group), (2) patients diagnosed with PCOS based on clinical indices (experimental group 1), and (3) patients diagnosed with PCOS based on metabolomic indices (experimental group 2). A total of 276 participants, including 60 healthy people and 216 patients with PCOS, will be recruited. The 216 patients with PCOS will be randomly assigned to the two experimental groups in a 1:1 ratio, and each group will receive a different 6-month treatment. The primary outcome for the experimental groups will be the effect of PCOS treatment. DISCUSSION: The results of this trial should help to determine whether using metabolomic indices is more accurate and effective than using clinical characteristics in diagnosing the phenotypes of PCOS. The results could provide a solid foundation for the accurate diagnosis of different PCOS subgroups and for future research on individualized PCOS therapy. TRIAL REGISTRATION: Chinese Clinical Trial Registry, ID: ChiCTR-INR-1800016346. Registered 26 May 2018.

The effect of low dose nylestriol-levonorgestrel replacement therapy on bone mineral density in women with postmenopausal osteoporosis.

OBJECTIVE: Recently our studies have shown that nylestriol in combination with levonorgestrel prevented bone loss, decreased bone turnover rate and increased the maximal loading of bone without obvious side effects in retinoic acid (RA) induced osteoporotic rats. In addition to the animal experiments, we evaluate the effect of Compound Nylestriol Tablet (CNT) on bone mineral density (BMD) in women with postmenopausal osteoporosis. Compound Nylestriol Tablet, which contains 0.5 mg of nylestriol (cyclopentylethinyl estriol) and 0.15 mg of levonorgestrel per tablet, was authorized as a new anti-osteoporotic agent for clinical trial in postmenopausal osteoporosis. METHODS: One year's clinical observation was performed in 191 eligible patients who were randomly divided into two groups (A and B). In group A, 119 patients were treated for one year with CNT (one tablet per week) and in group B, 72 patients with placebo. Bone mineral density of lumbar antero-posterior spine (L1-L4), lateral spine, total hip and total forearm positions including radius+ulna at the ultra distal areas, mid areas, and one-third areas, were measured before and after treatment. Biochemical parameters and effects of CNT on uterus, and breast were observed. RESULTS: We found that patients treated with CNT had a significant decrease of bone loss in total forearm, including radius+ulna at the ultra distal, mid, and 1/3 areas compared with control subjects (all P < 0.05). An improved BMD tendency could be seen at the lumbar spine. There were no differences in the observed biochemical variables. No side-effects on uterus, or mammary glands observed. None of the patients had uterine bleeding or vertebral fractures during one year's CNT treatment. CONCLUSION: These data suggested that CNT is effective, safe and convenient in treating postmenopausal osteoporosis.

Age-related bone mineral density, accumulated bone loss rate and prevalence of osteoporosis at multiple skeletal sites in chinese women.

We investigated the age-related bone mineral density (BMD), accumulated bone loss rate (ABLR) and the prevalence of osteoporosis at different skeletal sites in Chinese women. BMD was measured at the anteroposterior (AP) spine, supine lateral spine (areal BMD at the midarea [mLat] and the whole region [Lat], volumetric BMD at the middle region [MVD] and total region [TVD]), hip (femoral neck [FN], trochanter [Troc] and Ward's triangle [Ward's]) and forearm (radius + ulna ultradistal [RUUD], 1/3 region [RU1/3] and total region [RUT]) using a dual-energy X-ray absorptiometry (DXA) fan-beam bone densitometer (Hologic QDR 4500A) in 2702 females aged from 5 to 96 years old. Data were analyzed by eight different regression models. We found that the cubic regression model was the best for describing age-related changes in BMD. The coefficients of determination ( R(2)) of the fitting curve were 0.398 to 0.612 ( p = 0.000). The data were then analyzed by 5-year age groups. This showed that the earliest peak BMD was at the age of 20-24 years at Troc and Ward's, and the latest at the age of 40-44 years at RU1/3 and RUT of the distal forearm. Compared with BMD, the ABLRs were highest at Ward's (-66.2%) and the lowest at RU1/3 of the distal forearm (-31.3%) in subjects over 80 years old. The prevalence of osteoporosis at at least one site in these women was 0.5 +/- 0.4% in those 30-39, 4.6 +/- 4.4% in those 40-49, 23.9 +/- 13.3% in those 50-59, 56.3 +/- 20.3% in those 60-69, 71.8 +/- 16.7% in those 70-79 and 83.2 +/- 12.1% those over 80 years of age, respectively. The prevalence of osteoporosis in these women was 8.6-11.1% at the age of 40-49 and 36.5-40.6% at the age of 50-59 at the lateral spine regions (mLat, Lat, MVD and TVD), and 0.5-3.7% at the age of 40-49 and and 3.9-21.7% at the age of 50-59 years at the other skeletal sites (AP, FN, Troc, Ward's, RUUD, RU1/3 and RUT). Significant differences were found in the prevalence of osteoporosis between the lateral spine regions and other skeletal sites ( p<0.001) at the age of 40-59 years. In summary, we demonstrated significant age-related differences in peak BMD, ABLR and osteoporosis prevalence among various skeletal sites. Our data suggest that the supine lateral spine is the most sensitive site for the diagnosis of osteoporosis, especially in the early menopausal period, although the prevalence of osteoporosis varied with age and with different sites measured.