Phenolic Content and Antioxidant, Antihyperlipidemic, and Antidiabetogenic Effects of Opuntia dillenii Seed Oil by Mohamed Bouhrim, Nour Elhouda Daoudi, Hayat Ouassou, Amina Benoutman, El Hassania Loukili, Abderrahim Ziyyat, Hassane Mekhfi, Abdelkhaleq Legssyer, Mohammed Aziz, Mohamed Bnouham

“…Moreover, the preventive effect of ODSO was evaluated against alloxan monohydrate-induced diabetes in albino mice. ODSO had the highest total phenolic content (518.18 ± 14.36 mg EAC/kg) and DPPH scavenging activity (IC50 = 0.38 ± 0.08 mg/mL). …”
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Long-Term Anatomic and Functional Outcomes after Macular Hole Surgery by Karolina Kaźmierczak, Joanna Stafiej, Joanna Stachura, Paweł Żuchowski, Grażyna Malukiewicz

“…These conditions, as well as probably early stage of diabetes mellitus, influenced functional outcomes of studied eyes. …”
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Autoantibodies in myasthenia gravis: cluster analysis and clinical correlations by Xupeng Sun, Meijie Qu, Xi Rong, Mingxing Lv, Yunbin Zhao, Yunjun Yan, Lin Liu, Na Sun, Hua Yue, Min Liu

“…Cluster 2 patients were older and had elevated QMG scores and odds of complications, particularly hypertension, diabetes, cardiovascular and cerebrovascular diseases, and eye conditions. …”
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Association between Gastroesophageal Reflux Disease and Elastographic Parameters of Liver Steatosis and Fibrosis: Controlled Attenuation Parameter and Liver Stiffness Measurements by Ivana Mikolasevic, Goran Poropat, Tajana Filipec Kanizaj, Nadija Skenderevic, Marko Zelic, Marija Matasin, Luka Vranic, Andrea Kresovic, Goran Hauser

“…Patients with increased CAP were younger, were more obese, had higher prevalence of hypertension, diabetes, and dyslipidemia, and had higher values of aminotransferases. …”
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Clinical profile and outcomes analysis of HIV infection by Ashwant Kumar, Yoganathan Chidambaram, Clement J. Dhas, Nekkanti Abilash, Murali Alagesan

“…Most patients presented with fever (72.0%), weight loss (53.0%), anemia (11.5%), lymphadenopathy (11.0%), dia­betes (23.0%), and respiratory involvement (47.5%). …”
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PATOLOGÍA GINECOLÓGICA EN MUJERES CON TRASPLANTE RENAL. by Jorge López Olmos

“…Tenían: HTA en 47,82 %, diabetes en 13,04%. Un caso de 60 años, padecía EPOC (enfermedad pulmonar obstructiva crónica) por tabaquismo, y falleció por insuficiencia respiratoria en relación a adenocarcinoma de pulmón. 5 casos tenían histerectomía y 3 casos de menopausia precoz quirúrgica. …”
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Associação entre Estimativa de Colesterol de Lipoproteína de Baixa Densidade (sdLDL-C) e Risco de Doença Cardiovascular Aterosclerótica by Shutang Zhang, Jinjie Du, Peng Wang, Min Lei, Canye Zhong, Yang Ou, Zhen Sun

“…As análises de subgrupos foram realizadas com base na idade, índice de massa corporal (IMC), hipertensão, e diabetes. Uma razão de possibilidades (OR) com um intervalo de confiança de 95% (IC) foi utilizado para avaliação. …”
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Development and validation of a risk prediction model for PICC-related venous thrombosis in patients with cancer: a prospective cohort study by Zeyin Hu, Mengna Luo, Ruoying He, Zhenming Wu, Yuying Fan, Jia Li

“…Four risk factors were identified as key predictors of PICC-RVT, including “diabetes requiring insulin (OR: 8.016; 95% CI 1.157–55.536), major surgery (within 1 month and operation time > 45 minutes) (OR: 0.023; 95% CI 1.296–30.77), reduced limb activities of the PICC arm (OR: 6.687; 95% CI 2.024–22.09)” and “catheter material (OR: 3.319; 95% CI 0.940–11.723)”. …”
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High Prevalence of Prediabetes and Associated Risk Factors in Urban Areas of Pontianak, Indonesia: A Cross-Sectional Study by Indah Budiastutik, Martha I. Kartasurya, Hertanto W. Subagio, Bagoes Widjanarko

“…Uncontrolled prediabetes can develop into Type 2 Diabetes mellitus (T2DM). The incidence of T2DM among adults in Pontianak, Indonesia was reported remarkably high. …”
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Exploring Acute Kidney Injury Incidence in Hip Periprosthetic Joint Infection Treatment With Combined Intravenous and Intra-articular Antibiotic Infusion by Wenbo Mu, MD, PhD, Boyong Xu, MD, Fei Wang, MD, Wentao Guo, MD, PhD, Xiaogang Zhang, MD, Li Cao, MD

“…The median onset of AKI was on postoperative day 2, with stage I AKI being the most prevalent, accounting for 64.71% of cases. Diabetes and low baseline serum creatinine levels were identified as independent risk factors for AKI, with odds ratios of 9.69 and 1.09, respectively. …”
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Unlocking the link: predicting cardiovascular disease risk with a focus on airflow obstruction using machine learning by Xiyu Cao, Jianli Ma, Xiaoyi He, Yufei Liu, Yang Yang, Yaqi Wang, Chuantao Zhang

“…Analysis included 12 variables: age, gender, race, PIR, education, smoking, alcohol, BMI, hyperlipidemia, hypertension, diabetes, and AO. Logistic regression analyzed the association between AO and CVD, with sensitivity and subgroup analyses. …”
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Skin Microbiota: Mediator of Interactions Between Metabolic Disorders and Cutaneous Health and Disease by Magdalini Kreouzi, Nikolaos Theodorakis, Maria Nikolaou, Georgios Feretzakis, Athanasios Anastasiou, Konstantinos Kalodanis, Aikaterini Sakagianni

“…Metabolic disorders, including type 2 diabetes mellitus (T2DM), obesity, and metabolic syndrome, are systemic conditions that profoundly impact the skin microbiota, a dynamic community of bacteria, fungi, viruses, and mites essential for cutaneous health. …”
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Higher systemic immune-inflammation index is associated with increased risk of Parkinson’s disease in adults: a nationwide population-based study by Jiayu Zhao, Zhipeng Wu, Zhipeng Wu, Fengyin Cai, Xuejv Yu, Zhenyu Song

“…Subgroup analysis showed that this association was more significant in women, younger than 60 years old, non-smokers, alcohol drinkers, non-obese, and without a history of stroke, diabetes, or coronary heart disease. In addition, there was a positive dose-response relationship between SII and PD, and SII had an acceptable diagnostic value for PD (AUC = 0.72).ConclusionSII is positively correlated with the prevalence of PD in the adult population, and SII can help differentiate between PD and non-PD cases.…”
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The effects of psychosocial and economic factors on the quality of life of patients with end-stage renal disease and their caregivers in Klang Valley, Malaysia: protocol for a mixe... by Norhayati Ibrahim, Sin Yee Chu, Ching Sin Siau, Noh Amit, Rozmi Ismail, Abdul Halim Abdul Gafor

“…Introduction The number of patients in Malaysia requiring dialysis is expected to rise substantially in the future due to the ageing population and increasing prevalence of diabetes mellitus and hypertension. Hence, more individuals will be expected to adopt the role of caregivers in the future. …”
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Assessing Associations of Nurse‐Managed Hypertension Care on Pharmacotherapy, Lifestyle Counseling, and Prevalence of Comorbid Cardiometabolic Diseases in All Patients With Hyperte... by Charlotte Ivarsson, Monica Bergqvist, Per Wändell, Sebastian Lindblom, Anders Norrman, Julia Eriksson, Jan Hasselström, Christina Sandlund, Axel C. Carlsson

“…Nurse‐managed hypertension care was not significantly associated with differences in pharmacotherapy or patients’ comorbidity, except for diabetes. Primary health care centers with nurse‐managed hypertension care had a 10% greater adherence to national guidelines for lifestyle counseling (33.5%) compared to those without nurse‐managed hypertension care (22.5%). …”
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Propensity score matched cohort study on magnesium supplementation and mortality in critically ill patients with HFpEF by Lijun Song, Jianjun Ying, Min Li, Lan Ying, Chenliang Zhao

“…The results showed that magnesium intake significantly contributed to a decrease in the 28-day all-cause mortality rate (hazard ratio [HR], 0.682; 95% confidence interval [CI], 0.539–0.863), particularly in subgroups such as older patients (HR, 0.65; 95% CI 0.52–0.81), females (HR, 0.55; 95% CI 0.41–0.73), and those with hypertension (HR, 0.62; 95% CI 0.48–0.79) or without diabetes (HR, 0.54; 95% CI 0.41–0.71). Although magnesium treatment improved both ICU and one-year mortality rates, it concurrently resulted in extended ICU and hospital stays. …”
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Unveiling risk factors: a prognostic model of frequent peritonitis in peritoneal dialysis patients by Qi-jiang Xu, Qi-jiang Xu, Zhi-yun Zang, Xue-li Zhou, Xue-li Zhou, Ni-ya Ma, Li Pu, Li Pu, Zi Li

“…In the training set, we found several independent risk factors significantly associated with frequent episodes in PDAP patients, including diabetes mellitus (DM), hemoglobin (HB), serum albumin (ALB), lactatic dehydrogenase (LDH), serum potassium (K), N-terminal pro-brain natriuretic peptide (NT-proBNP) and peritoneal dialysate white cell counts on day 1. …”
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Impact of gas flaring on acute respiratory distress among pregnant women and newborn babies in Delta State Central Senatorial District, Nigeria by Omatseye Alero Akuirene, John Esimaje Moyegbone, Charity Omoikhekpen Chukumah, Mercy Ebiyemi Kalaroo, Josiah Obaghwerhievwo Adjene, Emmanuel Agbonomhen Agege, Joseph Onyedenyifa Odoko, Ezekiel Uba Nwose

“…RDS contributes more to cardiovascular disease and diabetes, hence it is important to address this public health issue …”
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Coffee, including caffeinated and decaffeinated coffee, and the risk of hepatocellular carcinoma: a systematic review and dose–response meta-analysis by Paul Roderick, Peter Clive Hayes, Julie Parkes, Ryan Buchanan, Oliver John Kennedy, Jonathan Andrew Fallowfield

“…There was evidence that the association was not significantly altered by stage of liver disease or the presence/absence of high alcohol consumption, high body mass index, type 2 diabetes mellitus, smoking, or hepatitis B and C viruses. …”
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Navigating next-gen nutrition care using artificial intelligence-assisted dietary assessment tools—a scoping review of potential applications by Anuja Phalle, Devaki Gokhale

“…Dietary assessment tools integrated with AI and ML could estimate real-time energy and macronutrient intake in patients with chronic conditions such as obesity, diabetes, and dementia. Additionally, these tools are non-laborious, time-efficient, user-friendly, and provide fairly accurate data free from recall/reporting bias enabling clinicians to offer personalized nutrition.ConclusionTherefore, integrating AI-based dietary assessment tools will help improve the quality of nutrition care and navigate next-gen nutrition care practices. …”
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