Monocyte and Macrophage in Follicular Liquid: Predictive Markers of Embryo Quality in Women with Obesity and Infertility by Evgeny D. Merkulov, Anastasia V. Prozorova, Iuliia G. Samoilova, Dmitry A. Svarovsky, Kira A. Sidorenkova, Liudmila V. Spirina, Marina N. Stakheeva, Oxana S. Timofeeva, Ilya A. Petrov

“…Results: We observed a decrease in the CD68+CD163+CD206+ and the CD68+CD163–CD206+ cells in patients with a body mass index (BMI) >25 by 0.19 times and 6.56 times, respectively, compared to the group with a BMI <25 (p = 0.031). …”
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Clinical characteristics, outcomes, and costs of COVID-19 patients in Thai hospitels: a comparative analysis based on chest X-ray findings by Naruemit Sayabovorn, Pochamana Phisalprapa, Weerachai Srivanichakorn, Thanet Chaisathaphol, Chaiwat Washirasaksiri, Tullaya Sitasuwan, Chonticha Auesomwang, Chayanis Kositamongkol, Pongpol Nimitpunya, Teerapat Attachitwatin, Methee Chayakulkeeree, Pakpoom Phoompoung, Cherdchai Nopmaneejumruslers, Tawatchai Taweemonkongsap, Visit Vamvanij, Rungsima Tinmanee

“…These patients were older (49.2 vs. 42.2 years, P < 0.001), had greater body weights (68.1 vs. 64.7 kg, P < 0.001) and body mass indices (26.3 vs. 24.9 kg/m2, P < 0.001), and more frequently presented comorbidities. …”
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Relationship between maternal pre-pregnancy BMI and neonatal birth weight in pregnancies with gestational diabetes mellitus: a retrospective cohort study by Qiuping Liao, Qiuping Liao, Qiuping Liao, Tiantian Yu, Tiantian Yu, Tiantian Yu, Jiajia Chen, Jiajia Chen, Jiajia Chen, Xiuqiong Zheng, Xiuqiong Zheng, Xiuqiong Zheng, Lianghui Zheng, Lianghui Zheng, Lianghui Zheng, Jianying Yan, Jianying Yan, Jianying Yan

“…AimThe aim of this study was to explore the association between maternal pre-pregnancy body mass index (BMI) and neonatal birth weight in pregnancies with gestational diabetes mellitus (GDM).MethodsThis was a retrospective cohort study conducted between January 2019 and June 2020 at a university hospital in Fuzhou, China.ResultsPre-pregnancy BMI was used to categorize 791 pregnant women as underweight (3.03%), normal weight (51.71%), overweight (32.74%), and obese (12.52%). …”
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gp91phox, a Novel Biomarker Evaluating Oxidative Stress, Is Elevated in Subclinical Hypothyroidism by Xiaochun Ma, Furong Wang, Xiaowen Zhen, Lifang Zhao, Li Fang, Zhenfang Dong, Wenbin Chen, Xiaoming Zhou

“…Abbreviations. BMI : Body mass index; TC : Total cholesterol; LDL-C : Low-density lipoprotein cholesterol; HDL-C : High-density lipoprotein cholesterol; TG : Triglyceride; FBG : Fasting blood glucose; FT3 : Free triiodothyronine; FT4 : Free thyroxine; TSH: Thyroid stimulating hormone; SBP : Systolic blood pressure; DBP : Diastolic blood pressure; SD : Standard deviation; LSD: Least significant difference.…”
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Cognitive impairment at older ages among 8000 men and women living in Mexico City: a cross-sectional analyses of a prospective study by Carlos González-Carballo, Pablo Kuri-Morales, Erwin Chiquete, Mario Rojas-Russell, Rogelio Santacruz-Benitez, Raúl Ramirez-Reyes, Adrián Garcilazo-Ávila, Jaime Berumen, Eirini Trichia, Louisa Gnatiuc Friedrichs, Paulina Orellana, Carolina Ochoa-Rosales, Gary O’Donovan, Jonathan R Emberson, Roberto Tapia-Conyer, Diego Aguilar-Ramirez, Jesus Alegre-Díaz

“…Among these (mean age 66 years; 31% men), their mean MMSE score was 26.2 (SD 3.6) points, 1,941 (24%) had cognitive impairment, their mean body-mass index (BMI) was 28.6 (SD 5.5) kg/m2, 3,008 (37%) had hypertension and 2,467 (30%) had diabetes. …”
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Lipids as key biomarkers in unravelling the pathophysiology of obesity-related metabolic dysregulation by Anis Adibah Osman, Siok-Fong Chin, Lay-Kek Teh, Noraidatulakma Abdullah, Nor Azian Abdul Murad, Rahman Jamal

“…Methods: A total of 160 serum samples (Discovery, n = 60 and Validation, n = 100) of obese and lean individuals with stable Body Mass Index (BMI) values were retrieved from The Malaysian Cohort biobank. …”
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Higher Serum Uric Acid Is Associated with Higher Bone Mineral Density in Chinese Men with Type 2 Diabetes Mellitus by Dian-dian Zhao, Pei-lin Jiao, Jing-jia Yu, Xiao-jing Wang, Lin Zhao, Yan Xuan, Li-hao Sun, Bei Tao, Wei-qing Wang, Guang Ning, Jian-min Liu, Hong-yan Zhao

“…The serum UA levels were positively correlated with body weight (r=0.322), body mass index (BMI) (r=0.331), Ca (r=0.179), and Cr (r=0.239) (p<0.001) and were also positively associated with the concentrations of PTH (r=0.10, p<0.05). …”
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High-Titer Rheumatoid Factor is Associated with Worse Clinical Outcomes and Higher Needs for Advanced Therapies in Rheumatoid Arthritis Under Real-Life Conditions by Victor Davi R. S. Oliveira, Ana Paula M. G. Reis, Claiton V. Brenol, Ivânio A. Pereira, Karina R. Bonfiglioli, Letícia R. Pereira, Manoel B. Bértolo, Maria de Fátima L. C. Sauma, Maria Fernanda B. R. Guimarães, Paulo Louzada-Júnior, Rina D. N. Giorgi, Sebastião C. Radominski, Licia Maria H. Mota, Cleandro P. Albuquerque, Geraldo R. Castelar-Pinheiro

“…High RF titers (compared to "non-high") were associated with tobacco use (odds ratio, OR [95% confidence interval, CI]: 2.04 [1.35, 3.08]; p < 0.001), multiraciality (OR [95% CI] 1.31 [1.03, 1.67]; p = 0.028, compared to White race), and higher body mass index (mean difference [95% CI] 0.69 [0.05, 1.33] kg/m2; p = 0.033). …”
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Hyperglycemia and Correlated High Levels of Inflammation Have a Positive Relationship with the Severity of Coronavirus Disease 2019 by Wen Zhang, Chuanwei Li, Yu Xu, Binfeng He, Mingdong Hu, Guoqiang Cao, Li Li, Shuang Wu, Xia Wang, Chun Zhang, Jianping Zhao, Jungang Xie, Zihui Xu, Qi Li, Guansong Wang

“…There was no association between severity of COVID-19 and known diabetes adjusted for age, sex, body mass index (BMI), known hypertension, and coronary heart disease. …”
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Liraglutide Decreases Liver Fat Content and Serum Fibroblast Growth Factor 21 Levels in Newly Diagnosed Overweight Patients with Type 2 Diabetes and Nonalcoholic Fatty Liver Diseas... by Xinyue Li, Xiaojuan Wu, Yumei Jia, Jing Fu, Lin Zhang, Tao Jiang, Jia Liu, Guang Wang

“…Twenty healthy age, sex, and body mass index (BMI) matched subjects were enrolled as the control group. …”
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Path Analysis of Morphological Traits on Weight Traits of Breeding Mya japonica by Xiaoyan XU, Meirong DU, Tinghao WANG, Zengjie JIANG

“…Pathway analysis to guide selective breeding of aquatic organisms was achieved for many species using the morphological traits of body mass and soft weight; however, pathway analysis of soft body and gonad wet weights, which are not readily available, was not reported. …”
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Prevalence of dyslipidemia and its influencing factors among adult residents in Hebei province: a cross-sectional survey by Qianyu LI, Yajing CAO, Lijuan TANG, Yuhuan LIU, Xiaoying LU, Qi QI, Shifan WANG, Xiaoli LIU, Ze CUI

“…Sex, age, place of residence, current smoking, body mass index, central obesity, sedentary behavior time, body fat percentage, and basal metabolic rate are the main influencing factors of dyslipidemia in adults in this region.…”
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Epidemiology and impact of device-specific infections on patients receiving left ventricular assist devices by Amit Iyengar, MD MSE, Jason Feinman, MD, Joyce Jiang, BS, Cindy Song, BA, Spencer Kim, BA, Alvin Mathew, MD, Sophia Golec, MD, Aarti Rao, MD, Ankitha Radakrishnan, MD, Michaela Asher, MPhil, David Rekhtman, BS, John DePaolo, MD PhD, Noah Moss, MD, Shinobu Itagaki, MD, Anelechi Anyanwu, MD, Joyce Wald, DO, Marisa Cevasco, MD MPH, Aditya Parikh, MD

“…Predictors of infection included Black race (LSI vs No LSI: 46.2% vs 29.2%, p=0.021) and body mass index (median 29.7 vs 26.2 kg/m2, p=0.007). …”
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Predictors of cytomegalovirus infection in patients with connective tissue disease treated by pulsed methylprednisolone therapy: a multicenter retrospective cohort study by Haruka Ito, Takahiko Yoshimoto, Akatsuki Kokaze, Kuninobu Wakabayashi, Kazuteru Noguchi, Kiyoshi Matsui, Bunki Natsumoto, Keishi Fujio, Yutaro Hayashi, Yuko Kaneko, Takahisa Gono, Koh Okamoto, Shu Okugawa, Kyoji Moriya, Hirohiko Sueki

“…Peripheral blood cell data before the start of p-MPSL therapy and at the start of steroid tapering were collected in addition to baseline characteristics, including age, sex, and body mass index. CMV infection was defined as detection of one or more CMV antigen-positive cells (CMV-positive). …”
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Dynamics of cortisol levels and the state of vitamin D supply during the full-scale war in Ukraine in patients with type 2 diabetes mellitus by M.I. Bobryk, V.I. Pankiv, V.M. Yerokhovych, V.S. Yuzvenko, D.Yu. Malyi, Yu.I. Komisarenko, L.V. Mikulets

“…Exclusion criteria were as follows: T2DM with severe chronic complications, HbA1c level < 7 %, acute inflammatory processes, oncological diseases, body mass index ≥ 40 kg/m2, intake of antidepressants, vitamin D drugs less than 2 months before the study. …”
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Association of Estimated Glomerular Filtration Rate (eGFR) and High-Sensitivity C-Reactive Protein (Hs-CRP) with the Risk of New-Onset Atrial Fibrillation in Patients with Diabetes by Liu Y, Liu H, Sun D, Zheng Y, Tse G, Chen K, Qiu J, Wu S, Liu T

“…We employed multivariable Cox regression analysis to evaluate the relationships between eGFR, hs-CRP, and new-onset AF, adjusting for confounders including smoking status, alcohol consumption, blood pressure, fasting blood glucose (FBG), heart rate, lipid levels, body mass index (BMI), and medication usage. Competing risk analysis was also performed.Results: Among 16,516 patients, 222 developed new-onset AF over a mean follow-up of 12.6 years. …”
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Demographic and clinical impact on preoperative BREAST-Q ePROM completion and baseline outcomes in women undergoing breast cancer surgery: a quantitative descriptive study at a Dan... by Karin Piil, Volker Jürgen Schmidt, Stine Thestrup Hansen, Lone Bak Hansen, Anna Mejldal, Julie Hougaard Prüsse, Lotte Gebhard Ørsted

“…Cohabiting patients reported psychosocial well-being scores approximately four points higher than those living alone (ba=3.91 (0.06; 7.75), p=0.046). Body mass index (BMI) was negatively associated with sexual well-being, with a 0.75-point decline per additional BMI point (ba=−0.75, (-1.12; −0.37), p&lt;0.001).Conclusions The present study demonstrates a positive attitude towards completing BREAST-Q as ePROMs among women diagnosed with breast cancer in the investigated region in Denmark. …”
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Impact of diabetes on clinical outcome of patients with heart failure undergoing ICD and CRT procedures: results from the German Device Registry by Elif Kaya, Jochen Senges, Matthias Hochadel, Lars Eckardt, Dietrich Andresen, Hüseyin Ince, Stefan G. Spitzer, Thomas Kleemann, Sebastian S.K. Maier, Werner Jung, Christoph Stellbrink, Tienush Rassaf, Reza Wakili

“…Patients with DM were older, had higher body mass index, and higher rate of cardiovascular comorbidities compared with non‐DM patients. …”
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Risk factors associated with degenerative glenohumeral osteoarthritis by Ravi Prakash, Nitin B Jain, Ziyi Chen, Folefac D Atem, Michael S Khazzam, Rashmi Pathak, Daniel Tai, Ursa BezanPetric, Estefanie Garduno Rapp

“…Univariate, least absolute shrinkage and selection operator and multivariate analyses identified risk factors, including age, body mass index (BMI), sex, work-related shoulder problems, shoulder disability, dislocation, previous trauma, surgery, smoking, hypertension, diabetes, depression, heart disease, OA, night pain and overall sleep quality.Results A total of 1827 cases and 1556 controls were identified for GH OA. …”
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Effect of Preadolescents&#x2019; Obesity on Inhibitory Control During Stop-Signal Task: A Functional EEG Network Study by Yuqin Li, Qian Yang, Yuxin Liu, Yutong Zheng, Jianfu Li, Chunli Chen, Baodan Chen, Dezhong Yao, Liang Yu, Peng Xu, Fali Li, Yi Liang

“…Additionally, significant correlations were found between network connectivity and properties and preadolescents&#x2019; body mass index (BMI), with their combination predicting BMI scores successfully. …”
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