Assessment of stress hyperglycemia ratio to predict all-cause mortality in patients with critical cerebrovascular disease: a retrospective cohort study from the MIMIC-IV database by Yuwen Chen, Jian Xu, Fan He, An’an Huang, Jie Wang, Bingchen Liu, Qucheng Wei

“…Subgroup analysis indicated the association was more pronounced in non-diabetic individuals. Additionally, incorporating SHR into existing models improved both discrimination and reclassification performance. …”
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Molecular Characterization of the Tumor Suppressor Candidate 5 Gene: Regulation by PPARγ and Identification of TUSC5 Coding Variants in Lean and Obese Humans by Trina A. Knotts, Hyun Woo Lee, Jae Bum Kim, Pieter J. Oort, Ruth McPherson, Robert Dent, Keisuke Tachibana, Takefumi Doi, Songtao Yu, Janardan K. Reddy, Kenji Uno, Hideki Katagiri, Magdalena Pasarica, Steven R. Smith, Dorothy D. Sears, Michel Grino, Sean H. Adams

“…No change in Tusc5 mRNA or protein levels was evident in type 2 diabetic patients treated with pioglitazone. Tusc5 expression was not induced appreciably in liver preparations overexpressing PPARs, suggesting that tissue-specific factors regulate PPARγ responsiveness of the TUSC5 gene. …”
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Thyroid Dysfunction in Patients with Metabolic Syndrome: A Cross-Sectional, Epidemiological, Pan-India Study by Vaishali Deshmukh, Faraz Farishta, Milind Bhole

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tPA‐GFP is a reliable probe for detecting compound exocytosis in human pancreatic β‐cells by Aishwarya A. Makam, Shruti Sharma, Prajwal Nagle, Nandhini M. Sundaram, Vidya Mangala Prasad, Nikhil R. Gandasi

“…Identifying targets to increase the compound exocytosis process can help potentiate insulin secretion in diabetics.…”
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Prevalence of prolonged transitional neonatal hypoglycemia and associated factors in Ethiopia: A systematic review and meta-analysis. by Solomon Demis Kebede, Amare Kassaw, Tigabu Munye Aytenew, Kindu Agmas, Demewoz Kefale

“…Significant factors associated with PTNHG included preterm birth (AOR = 3.31; 95% CI: 2.57-4.04), hypothermia (AOR = 3.41; 95% CI: 2.19-4.62), being an infant of a diabetic mother (IDM) (AOR = 4.71; 95% CI: 2.15-7.26), delayed breastfeeding initiation beyond one hour (AOR = 3.26; 95% CI: 2.03-4.49), and pathological jaundice (AOR = 2.37; 95% CI: 1.91-2.84).…”
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Clinical Role of Epigenetics and Network Analysis in Eye Diseases: A Translational Science Review by Michele Lanza, Giuditta Benincasa, Dario Costa, Claudio Napoli

“…PF-04523655, a 19-nucleotide methylated double-stranded siRNA targeting the RTP80 gene, showed a dose-related improvement in best-corrected visual acuity (BCVA) in patients affected by diabetic macular edema. The observed results support a clinical network-based research program aimed to clarify the role of epigenetic regulators in the development of ocular diseases and personalized therapy.…”
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The Association of Retinal Disease with Vision Impairment and Functional Status in Medicare Patients by Vincent Garmo, Xiaohui Zhao, Carmen D. Ng, Aimee Near, Tania Banerji, Keiko Wada, Gary Oderda, Diana Brixner, Joseph Biskupiak, Ferhina S. Ali, Archad M. Khanani, Alicia Menezes, Ibrahim M. Abbass

“…**Background:** The association of neovascular age-related macular degeneration (nAMD), diabetic macular edema (DME), and retinal vein occlusion (RVO) with functional status in the general Medicare population are not well established. …”
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Efficacy and safety of faricimab for neovascular age-related macular degeneration: a systematic review and network meta-analysis by Francisco Rodríguez, Daniel Samacá-Samacá, Claudia Hernández-Castillo, Laura Prieto-Pinto, Carolina Sardi, Hugo Ocampo, Joshua Kock, Fabián Hernández

“…Outcomes included changes in visual acuity (Early Treatment of Diabetic Retinopathy Study [ETDRS] letters), anatomical changes, frequency of injections and adverse events. …”
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Sustained Intraocular Pressure Rise after the Treat and Extend Regimen at 3 Years: Aflibercept versus Ranibizumab by Alper Bilgic, Laurent Kodjikian, Jay Chhablani, Anand Sudhalkar, Megha Trivedi, Viraj Vasavada, Vaishali Vasavada, Shail Vasavada, Samaresh Srivastava, Deepak Bhojwani, Aditya Sudhalkar

“…Patients. 789 patients (1021 eyes; 602 males) enrolled in T&E using aflibercept/ranibizumab for diabetic macular edema (DME), wet age-related macular degeneration (AMD), or macular edema in retinal vein occlusion (RVO). …”
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Association between metabolic score for visceral fat index and BMI-adjusted skeletal muscle mass index in American adults by Yifan Zhou, Xiangjie Su, Haitao Tan, Jun Xiao

“…Notably, the negative association varied significantly between diabetic and nondiabetic population, as well as among populations classified by different BMI categories. …”
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Ni-kshay Poshan Yojana: receipt and utilization among persons with TB notified under the National TB Elimination Program in India, 2022 by Kathiresan Jeyashree, Jeromie W V Thangaraj, Devika Shanmugasundaram, G Sri Lakshmi Priya, Sumit Pandey, Venkateshprabhu Janagaraj, Prema Shanmugasundaram, Sabarinathan Ramasamy, Joshua Chadwick, Sivavallinathan Arunachalam, Rahul Sharma, Vaibhav Shah, Aniket Chowdhury, Swati Iyer, Raghuram Rao, Sanjay K Mattoo, Manoj V Murhekar, NPY Evaluation Group

“…Non-receipt was significantly higher among PwTB from states with low TB score (aPR = 2.34; 95%CI 1.51, 3.62), who do not have bank account (aPR = 2.48; 95%CI 1.93, 3.19) and with unknown/missing diabetic status (aPR = 1.69; 95%CI 1.11, 2.55). Unfavorable treatment outcomes were associated with non-receipt of NPY (aPR 4.93; 95%CI 3.61,6.75) after adjusting for potential confounders. …”
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Comparison of Performance on the Clock Drawing Test Using Three Different Scales in Dialysis Patients by Taim Abdullah Muayqil, Ahmad Raed Tarakji, Abdullah Mohammad Khattab, Nasser Talal Balbaid, Ahmad Mohedeen Al-Dawalibi, Sami Ahmed Alqarni, Reema Ali Hazazi, Mohammed H. Alanazy

“…The scores increased with increasing education (each P<0.0001). Diabetics had a lower score on both the BCS and MCS by 2.56 (SE 1.2) (P=0.035) and 0.71 (P=0.003) points, respectively. …”
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Factors associated with risk analysis for asymptomatic left ventricular diastolic dysfunction in nondialysis patients with chronic kidney disease by Yajuan Gao, Shengnan Chen, Jiani Fu, Cui Wang, Yali Tang, Yongbai Luo, Xiaozhen Zhuo, Xueying Chen, Yan Shen

“…The multivariate logistic regression analysis revealed that increased age (OR 1.237; 95% confidence interval (CI) 1.108–1.381, per year), diabetic nephropathy (DN) and hypertensive nephropathy (HTN) (OR 25.000; 95% CI 1.355–48.645, DN and HTN vs chronic interstitial nephritis), progression of CKD stage (OR 2.785; 95% CI 1.228–6.315, per stage), increased mean arterial pressure (OR 1.154; 95% CI 1.051–1.268, per mmHg), increased urinary protein (OR 2.825; 95% CI 1.484–5.405, per g/24 h), and low blood calcium (OR 0.072; 95% CI 0.006–0.859, per mmol/L) were factors associated with risk for ALVDD in nondialysis CKD patients after adjusting for other confounding factors. …”
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Sex differences in patients with working diagnosis of myocardial infarction with nonobstructive coronary arteries (MINOCA) by Marek Milewski, Aneta Desperak, Maciej Koźlik, Marta Bujak, Marek Gierlotka, Krzysztof Milewski, Krystian Wita, Zbigniew Kalarus, Joanna Fluder-Włodarczyk, Pawel E. Buszman, Jacek Piegza, Mamas A. Mamas, Wojciech Wojakowski, Pawel Gasior

“…Male patients were significantly younger (63 (55–74) vs. 71 (61–79) years, p < 0.05) and less frequently diabetic (20.1% vs. 24.1%, p < 0.05). Mortality was significantly higher in male population (11.8% vs. 10.2%, p < 0.05 at 1 year and 17.6% vs. 15.0%, p < 0.05 at 3 years). …”
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Methicillin-Resistant Staphylococcus aureus (MRSA): Prevalence and Antimicrobial Sensitivity Pattern among Patients—A Multicenter Study in Asmara, Eritrea by Eyob Yohaness Garoy, Yacob Berhane Gebreab, Oliver Okoth Achila, Daniel Goitom Tekeste, Robel Kesete, Robel Ghirmay, Ruta Kiflay, Thomas Tesfu

“…The isolates were mostly from the pus specimen in burn, diabetic, and surgical wound patients. Antimicrobial susceptibility test showed that 13 (15.9%) of the isolates were resistant to vancomycin, 9 (11.0%) to erythromycin, and 1 (1.2%) to gentamicin. …”
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Analysis of the mechanism of Zangjiangzhi capsule in the treatment of hyperlipidemia based on its ingredients identified by UHPLC-Q-Exactive-Orbitrap-MS by Changting He, Yuling Zhao, Yongchun Huang, Yudong Su, Shoude Zhang

“…Among these, the AGE-RAGE signaling pathway in diabetic complications, lipid and atherosclerosis pathways, regulation of lipids in adipocytes, and insulin resistance are related to HLP. …”
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Benefits and harms of pregabalin in the management of neuropathic pain: a rapid review and meta-analysis of randomised clinical trials by Igho J Onakpoya, Elizabeth T Thomas, Joseph J Lee, Ben Goldacre, Carl J Heneghan

“…The neuropathic pain conditions studied were diabetic peripheral neuropathy, postherpetic neuralgia, herpes zoster, sciatica (radicular pain), poststroke pain and spinal cord injury-related pain. …”
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Biofilm-Producing Bacteria and Risk Factors (Gender and Duration of Catheterization) Characterized as Catheter-Associated Biofilm Formation by Wani Devita Gunardi, Anis Karuniawati, Rainy Umbas, Saptawati Bardosono, Aida Lydia, Amin Soebandrio, Dodi Safari

“…A catheter-associated urinary tract infection (CA-UTI) is preceded by biofilm formation, which is related to several risk factors such as gender, age, diabetic status, duration of catheterization, bacteriuria before catheterization, virulence gene factor, and antibiotic usage. …”
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Assessment of complications in adjacent natural teeth compared to contralateral teeth in single posterior implant cases by Naama Fridenberg, Nirit Tagger-Green, Matanel Katz, Shifra Levartovsky

“…Mobility complications were significantly associated with diabetic patients (p = 0.041) and a longer duration until implant rehabilitation (p = 0.006). …”
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Compact Quantum Cascade Laser-Based Noninvasive Glucose Sensor Upgraded with Direct Comb Data-Mining by Liying Song, Zhiqiang Han, Hengyong Nie, Woon-Ming Lau

“…Beyond increasing the measurement accuracy to the FDA accuracy benchmark, even without a pressure actuator, direct comb data-mining upgrades the sensor system with speed and data integrity, which can impact the healthcare of diabetic patients. Specifically, the sensor performance is validated with 492 glucose absorption scans in the time domain, each with 20 million datapoints measured from four subjects with glucose concentrations of 3.9–7.9 mM. …”
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