Nurse-led care versus usual care on cardiovascular risk factors for patients with type 2 diabetes: a systematic review and meta-analysis.

OBJECTS: This study aims to systematically evaluate the effectiveness of nurse-led cares on cardiovascular risk factors among individuals with type 2 diabetes mellitus. DESIGN: Systematic review and meta-analysis. METHODS: The electronic databases PubMed, EMBASE, CINAHL and Cochrane Library databases were searched for randomised controlled trials of nurse-led care for individuals with type 2 diabetes mellitus (T2DM) published in English from inception to 23 December 2021. Random effects models were used to calculate weighted mean differences (WMD) with 95%CI. RESULTS: 13 articles were included in the meta-analysis, with a total of3757 participants. Considering baseline measurements, pooled analysis showed that nurse-led care significantly decreased the glycosylated haemoglobin (HbA1c) (WMD=-0.68 mmol/L; 95% CI -0.85 to -0.52; p<0.001), body mass index (BMI) (WMD=-0.54 kg/m2; 95% CI: -0.97 to -0.11; p=0.01) and systolic blood pressure (SBP) (WMD=-1.17 mmHg; 95% CI: -2.11 to -0.22; p=0.02) for patients with T2DM. But there was no difference in low-density lipoprotein cholesterol (LDL-c) (WMD=-2.50 mg/dL ; 95% CI: -5.07 to 0.08; p=0.06) between the nurse-led and control groups. CONCLUSION: Nurse-led care is an effective and accessible intervention that could improve HbA1c, SBP, BMI levels among individuals with T2DM. PROSPERO REGISTRATION NUMBER: CRD42021248275.

Anti-Müllerian hormone was independently associated with central obesity but not with general obesity in women with PCOS.

Objective: Anti-Müllerian hormone (AMH) is recognized as the most important biomarker for ovarian reserve. In this cross-sectional study, we aimed to explore the potential association of AMH with central obesity or general obesity in women with polycystic ovary syndrome (PCOS). Methods: In this cross-sectional study, 179 patients with PCOS were enrolled and underwent anthropometric measurements (BMI and waist circumference (WC)) and serum AMH level detection. Pearson's correlation and multivariable logistic regression analyses were performed to determine the associations of AMH with central obesity and general obesity. Results: Subjects with increasing BMI showed significantly lower values of AMH (median (interquartile range (IQR)) 8.95 (6.03-13.60) ng/mL in normal weight group, 6.57 (4.18-8.77) ng/mL in overweight group, and 6.03 (4.34-9.44) ng/mL in obesity group, P = 0.001), but higher levels of systolic blood pressure, fasting insulin, total cholesterol, triglycerides, LDL-c, obesity indices (WC, hip circumferences, waist-to-hip ratio, waist-to-height ratio (WHtR), and Chinese visceral adiposity index (CVAI)). Compared with the group of PCOS women without central obesity, the group with central obesity had significantly lower value of AMH (median (IQR) 8.56 (5.29-12.96) ng/mL vs 6.22 (4.33-8.82) ng/mL; P = 0.003). Pearson's correlation analysis showed that AMH was significantly and negatively correlated with BMI (r = -0.280; P < 0.001), WC (r = -0.263; P < 0.001), WHtR (r = -0.273; P < 0.001), and CVAI (r = -0.211; P = 0.006). Multivariate logistic regression analysis with adjustment for potential confounding factors showed that AMH was independently and negatively associated with central obesity but was not significantly associated with general obesity. Conclusions: AMH was independently and negatively associated with central obesity. Closely monitoring the WC and AMH should be addressed in terms of assessing ovarian reserve in women with PCOS.

Independent associations of thyroid-related hormones with hepatic steatosis and insulin resistance in euthyroid overweight/obese Chinese adults.

PURPOSE: The aim of the study is to explore the independent association of free triiodothyronine (FT3), free thyroxine (FT4) and thyroid stimulating hormone (TSH) with hepatic steatosis and insulin resistance. METHODS: A cross-sectional study of 88 overweight/obese adults who underwent anthropometric measurements [BMI, waist circumference (WC) and waist-to-height ratio (WHtR)], hepatic steatosis assessment (FibroScan) and thyroid-related hormones tests was conducted from 2018 to 2020 in Xiamen, China. RESULTS: Subjects with increasing tertiles of FT3 showed significantly higher levels of controlled attenuation parameter (CAP) ((295.4 ± 44.1, 290.1 ± 68.2 and 331.7 ± 43.6 (dB/m) for tertile 1-3, respectively, p = 0.007) and fatty liver index (FLI) score (47.7 (33.9-60.8), 61.5 (45.1-88.9) and 90.5 (84.5-94.8), respectively, p < 0.001). FT3 significantly and positively correlated with obesity index (BMI, WC, and WHtR), homeostatic model assessment of insulin resistance (HOMA-IR) and hepatic steatosis (CAP and FLI). Multivariable linear regression analyses with adjustment for potential confounding factors showed FT3 was independently associated with BMI (regression coefficient (ß (95%CI): 0.024 (0.004-0.043), p = 0.020), HOMA-IR (ß (95%CI): 0.091 (0.007-0.174), p = 0.034), CAP (ß (95%CI): 25.45 (2.59-48.31), p = 0.030) and FLI (ß (95%CI): 0.121 (0.049-0.194), p = 0.001). Neither FT4 nor TSH was significantly associated with any indicators of obesity, insulin resistance or hepatic steatosis. CONCLUSIONS: Increased FT3, but not FT4 or TSH, was independently associated with higher risks of hepatic steatosis and insulin resistance in euthyroid overweight/obese Chinese adults. Trial registration Registration is not applicable for our study.

Higher Apnea-Hypopnea Index (AHI) and Oxygen Desaturation Index (ODI) Were Independently Associated with Increased Risks of Hypertension in Patients with T2DM: A Cross-Sectional Study.

OBJECTIVE: The current study aimed to explore the relationship between OSAS and hypertension and whether polysomnography (PSG) indices were independently associated with hypertension in patients with type 2 diabetes (T2DM). METHODS: This study recruited 316 T2DM patients. Multivariable logistic regression analyses were performed to determine the independent association of apnea-hypopnea index (AHI) and oxygen desaturation index (ODI) with hypertension with adjustment for potential confounders. RESULTS: Among 316 patients, 130 (41.1%) and 204 (64.6%) had hypertension and OSAS, respectively. T2DM patients with hypertension showed significantly increased levels of AHI ((median (interquartile range)): 17.2 (5.7-34.9) vs. 5.7 (2.1-17.3) events/hour, p < 0.001), nonrapid eye movement AHI (NREM-AHI) (17.6 (5.5-36.5) vs. 5.2 (2.2-16.6) events/hour, p < 0.001), ODI (48.4 (21.9-78.0) vs. 22.6 (10.8-48.1) events/hour, p < 0.001), and severities of OSAS and decreased levels of lowest SaO2 ((mean ± standard deviation): 74.0 ± 10.4 vs. 77.3 ± 9.8, p = 0.004). Multivariable logistic regression analysis showed that higher levels of AHI, NREM-AHI, and ODI were significantly associated with increased risks of hypertension, and the adjusted odds ratios (ORs) with 95% CI were 1.026 (1.008-1.044, p = 0.004), 1.026 (1.009-1.044, p = 0.003), and 1.005 (1.001-1.010, p = 0.040), respectively. Compared with non-OSAS, severe OSAS was significantly associated with the risk of hypertension with the adjusted OR (95% CI) of 3.626 (1.609-8.172, p = 0.002), but associations of rapid eye movement AHI (REM-AHI) and lowest SaO2 with hypertension were not statistically significant. CONCLUSION: Increased AHI, NREM-AHI, ODI, and severities of OSAS were significantly associated with higher risks of hypertension in T2DM patients. Detection and treatment of OSAS are needed to prevent hypertension in T2DM patients.

Correlation Between Daily Energy Intake from Fat with Insulin Resistance in Patients with Polycystic Ovary Syndrome.

OBJECTIVE: The aim of the present study was to investigate the possible correlation between the percentage of daily energy intake from fat (PEF) with insulin resistance (IR) in women with polycystic ovary syndrome (PCOS). METHODS: In this cross-sectional study, a total of 186 females with PCOS were screened. Daily dietary intake data were collected by a trained nutritionist using the 24-h dietary recall method over three consecutive days. A total of 111 subjects who had complete data were divided into two groups based on the percentage of daily energy intake from fat (PEF): the normal PEF (NPEF) group (PEF < 30%) and the high PEF (HPEF) group (PEF ≥ 30%). Pearson's correlation analysis and stepwise multivariate linear regression analysis were used to analyze the correlation of PEF with homeostasis model assessment of insulin resistance (HOMA-IR). RESULTS: The total prevalence rate of overweight/obesity was 80.2%. There were significant differences in waist circumference (WC), body mass index (BMI), fasting insulin, and HOMA-IR (P < 0.001) among the normal weight, the overweight, and the obese groups, but no significant differences were observed in total energy and dietary macronutrients intake in the three groups. The daily intake of fat and protein, fasting insulin, and HOMA-IR in the NPEF group were significantly higher than those in the HPEF group. Pearson's correlation analysis showed PEF in PCOS women was negatively correlated with BMI (r= -0.189, p=0.047) and HOMA-IR (log-transformed) (r= -0.217, p=0.022). Further, stepwise multivariate linear regression analysis showed PEF was negatively correlated with HOMA-IR (p<0.05). CONCLUSION: The percentage of daily energy intake from fat is negatively correlated with IR in women with PCOS.

Neck circumference is a good predictor for insulin resistance in women with polycystic ovary syndrome.

OBJECTIVE: To assess the role of neck circumference (NC) in assessing insulin resistance (IR) in polycystic ovary syndrome (PCOS). DESIGN: A cross-sectional study. SETTING: University-affiliated hospital. PATIENT(S): One hundred forty-three women with PCOS were recruited from November 2018 to February 2020. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): The associations of NC with IR and the cutoff points of NC for IR. RESULT(S): The prevalence rates of IR were 64.3%. The patients with PCOS with IR had significantly greater values of systolic blood pressure, NC, body mass index, waist-to-hip ratio, waist circumference, fasting blood glucose, fasting insulin, and homeostasis model assessment of insulin resistance (HOMA-IR). Pearson correlation analysis showed body mass index (log-transformed), waist circumference, waist-to-hip ratio, and HOMA-IR (log-transformed) were positively correlated with NC. Multivariable linear regression showed that NC was significantly associated with HOMA-IR (log-transformed), with the standardized regression coefficient of 0.330 with adjustment for potential confounding factors. Furthermore, multivariate logistic regression analyses showed NC was associated significantly with increased risk of IR, with the adjusted odds ratio of 1.423. Additionally, NC was able to identify IR in women with PCOS; the optimal cut-off points was 34.3 cm (Youden index = 0.586). CONCLUSION(S): Neck circumference is positively associated with IR in women with PCOS. We suggest NC as a novel, simple, practical, and reliable anthropometric measure to be used to predict the risk of IR in patients with PCOS.

Lipid accumulation product (LAP) was independently associatedwith obstructive sleep apnea in patients with type 2 diabetes mellitus.

BACKGROUND: Lipid accumulation product (LAP) is a new index based on a combination of waist circumference (WC) and serum triglycerides (TG) reflecting lipid accumulation. In this cross-sectional study, we aimed to explore whether LAP was independently associated with obstructive sleep apnea (OSA) in Type 2 diabetes mellitus (T2DM) patients. METHODS: A cross-sectional study of 317 T2DM patients who underwent overnight polysomnography (PSG) tests was conducted. The clinical data between non-OSA group and OSA group were compared. Multivariable linear regression and multivariable logistic regression analyses were performed to determine associations of LAP, with apnea-hypopnea index (AHI) and OSA. RESULTS: Among 317 patients, 219 (69.1%) were men, and the mean ages (±SD) were 51.4 (±13.5) years for men and 54.6 (±15.1) years for women (p = 0.067). The prevalence rates of OSA were 63.0% for men and 68.4% for women (p = 0.357). LAP (log-transformed) was significantly correlated with AHI (log-transformed), with the Pearson's correlation coefficient of 0.170 (p = 0.002). With adjustment for potential confounding factors, multivariate linear regression analyses showed the association of LAP with AHI was not statistically significant, with the adjusted linear regression coefficients (95% CI) of per SD increase of LAP for AHI (log-transformed) was 0.092 (- 0.011-0.194, p = 0.080). Multivariate logistic regression analyses showed LAP was significantly associated with increased risk of OSA, with the adjusted OR (95%CI) of per SD increase of LAP of 1.639 (1.032-2.604, p = 0.036). However, as constituents of LAP, neither TG nor WC was significantly associated with AHI and OSA. CONCLUSION: LAP was independently associated with OSA and might be used as a potential OSA risk marker in T2DM patients, beyond the general index of obesity.

The Relationship of Serum 25-Hydroxyvitamin-D Level with Severity of Obstructive Sleep Apnea in Patients with Type 2 Diabetes Mellitus.

OBJECTIVE: To explore the association of serum vitamin-D levels with the severity of obstructive sleep apnea (OSA) in patients with type 2 diabetes mellitus (T2DM). METHODS: A cross-sectional study of 136 patients with T2DM who underwent overnight polysomnography (PSG) tests and serum 25-hydroxyvitamin-D3 (25(OH)D3) level detections was conducted. Multivariable linear regression and logistic regression analyses were performed to determine the associations of serum 25(OH)D3 levels with apnea-hypopnea index (AHI) and obstructive sleep apnea (OSA). RESULTS: The prevalence rates of OSA were 84.4% for male and 65.2% for female patients, respectively (p = 0.011). With increasing severities of OSA categories (none, mild, moderate and severe), patients were more likely to be male and obese, but there was no significant difference in serum 25(OH)D3 level ((mean ± standard deviation) 21.8 ± 8.8, 27.7 ± 14.6, 24.2 ± 9.8 and 26.8 ± 6.2 ng/mL, respectively, p=0.086). Serum 25(OH)D3 level was not significantly correlated with AHI (log-transformed), with the correlation coefficient of 0.133 (p=0.124). With adjustment for potential confounding factors, multivariable linear regression and logistic regression analyses showed that serum 25(OH)D3 level was not significantly associated with either AHI (log-transformed) or the risk of OSA, with the standardized regression coefficient (95% confidence interval (CI)) of 0.098 (-0.004-0.014, p=0.252) and the adjusted odds ratio (95% CI) of 1.055 (0.991-1.124, p=0.095), respectively. CONCLUSION: Serum 25(OH)D3 level was not significantly associated with either AHI or the risk of OSA in patients with T2DM.