Background: Prior pulmonary tuberculosis (TB) can cause permanent changes in lung anatomy and is associated with lung function loss. However, it remains unclear whether pulmonary function impairment owing to TB is associated with airflow obstruction, the hallmark of chronic obstructive pulmonary disease (COPD). The aim of this systematic review and meta-analysis was to assess the association and quantify the magnitudes of association between pulmonary TB and COPD, and to evaluate the prevalence of COPD in patients with prior pulmonary TB.Methods: We searched the PubMed, Embase, and Web of Science databases for studies published from inception to January 1, 2020. Pooled effect sizes were calculated according to a random effects model or fixed effect model depending on heterogeneity. Specific subgroups (different diagnostic criteria, smoking status, income level) were examined.Results: A total of 23 articles were included in this study. Compared with controls, patients with pulmonary TB had an odds ratios (ORs) of 2.59 [95% confidence interval (CI): 2.12-3.15; P<0.001] for developing COPD. In jackknife sensitivity analyses, the increased risk of prior pulmonary TB remained consistent for COPD; when the meta-analysis was repeated and one study was omitted each time, the ORs and corresponding 95% CIs were greater than 2. Funnel plots of ORs with Egger's linear regression (t=2.00, P=0.058) and Begg's rank correlation (Z=0.75, P=0.455) showing no significant publication bias. Subgroup analysis showed that the same conclusion was still present in never smokers (ORs 2.41; 95% CI: 1.74-3.32; P<0.001), patients with pulmonary TB diagnosed using chest X-ray (ORs 2.47; 95% CI: 1.23-4.97; P<0.001), and low-and middle-income country (LMIC) settings (ORs 2.70; 95% CI: 2.08-3.51; P<0.001). The pooled prevalence of COPD in patients with prior pulmonary TB was 21% (95% CI: 16-25%; P<0.001).Conclusions: Individuals with prior pulmonary TB have an increased risk and high prevalence of COPD.Future studies identifying the underlying mechanisms for TB-associated COPD and therapeutic strategies are required.
Purpose. We aimed to investigate the association between serum uric acid (SUA) levels and obstructive sleep apnea-hypopnea syndrome (OSAHS) in patients with type 2 diabetes. Methods. A cross-sectional study of 212 type 2 diabetes mellitus (T2DM) patients was conducted in Xiamen, China. All patients underwent polysomnography (PSG) recordings for OSAHS diagnosis. Patients were grouped according to the apnea-hypopnea index (AHI) as mild (5-14.9), moderate (15-29.9), and severe (≧30) OSAHS. Patients with AHI≤4.9 served as the control group. Weight, body mass index (BMI), SUA, liver function, renal function, blood pressure, lipid profiles, and glycemic parameters were measured. Results. A total of 158 patients (101 men and 57 women) with complete data were analyzed in this study. 127 patients were identified as OSAHS. Among the 127 patients with OSAHS, 56 (44.1%), 37 (29.1%), and 34 (26.8%) had mild, moderate, and severe OSAHS, respectively. Correlation analyses showed that the SUA level was significantly related to the apnea-hypopnea index (AHI) (r=0.194, p=0.016). The level of SUA was significantly higher among OSAHS patients compared to the control group (control group: 333.14±80.52 μmol/L, mild group: 345.50±90.27 μmol/L, moderate group: 363.59±134.26 μmol/L, and severe group: 428.37±123.58 μmol/L and p=0.029). Multivariable logistic regression analyses showed that SUA was the independent risk factor for OSAHS (OR: 1.006, 95% CI: 1.001-1.011, p=0.020). Conclusions. The SUA level is significantly associated with the severity of OSAHS and should be controlled when managing OSAHS.
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 ¼ 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. (Fertil Steril Ò 2021;115:753-60. Ó2020 by American Society for Reproductive Medicine.) El resumen está disponible en Español al final del artículo.
To evaluate associations of obesity indices with bone mineral densities (BMD) and risk of osteoporosis in T2DM patients totally and stratified across presence of any diabetic cardiovascular complications. Methods: Cross-sectional analyses of baseline information on a cohort of 250 T2DM patients were conducted in Xiamen, China. Obesity indices included body weight, height, body mass index (BMI), waist and waist hip ratio (WHR). BMD was measured using dual-energy X-ray absorptiometry at three different sites, and osteoporosis was defined based on the minimum T-scores of BMD. Presence of any diabetic vascular complications was confirmed by checking their medical records histories. Results: Among the 250 T2DM patients, 50 (20.0%) were defined as osteoporosis. Multivariable linear regression and multivariable logistic regression analyses showed that igher obesity indices, including body weight, BMI and waist, but neither body height nor waist hip ratio, were positively associated with the minimum T-scores of BMD and had significantly decreased risk of osteoporosis. Stratified analyses across presence of any of diabetic vascular complications showed similar results for those with any of diabetic vascular complications, while no significant association between obesity indices and minimum T-scores of BMD was found for those without. Postmenopausal women (vs men) and ever drinking were significantly associated with increased risk of osteoporosis, and the adjusted odds ratios (95% CIs) were 5.165 (1.762-15.138, p = 0.003) and 3.789 (1.087-13.214, p = 0.037), respectively. None of metabolic profiles, including systolic and diastolic blood pressure, triglyceride, total cholesterol, high-density lipoprotein cholesterol, HbA1c and blood uric acid, was significantly associated with either minimum T-scores of BMD or risk of osteoporosis. Conclusion: Associations of obesity indices with either BMD or risk of osteoporosis in T2DM patients varied by presence of any diabetic vascular complication and should be not interpreted as causal without considering the often-unmeasured effect modification by health status.
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