Results 171 to 180 of about 2,663,645 (303)

CMAISE: Establishing the Longitudinal Multi‐Omics Cohort for Sepsis Precision Medicine

open access: yesMed Research, EarlyView.
ABSTRACT Sepsis remains a leading cause of mortality worldwide due to its profound biological heterogeneity. While multi‐omics approaches offer promise for precision medicine, existing datasets often lack longitudinal granularity or comprehensive clinical integration. We present the Chinese Multi‐omics Advances In Sepsis (CMAISE) cohort, a prospective,
Jie Yang   +36 more
wiley   +1 more source

Diabetic Peripheral Neuropathy: Molecular Staging, Risk Factors, Therapeutics, and Emerging Trends

open access: yesMed Research, EarlyView.
The heterogeneous landscape of DPN can be unified through a tripartite pathogenic model encompassing progressive stages of metabolic dysregulation, chronic inflammation, and overt neuronal damage. Within this framework, six clinical subtypes were identified, namely, hyperglycemia‐driven, dyslipidemia‐driven, inflammation‐driven, dysvascularity‐driven ...
Xiaofeng Dai, Mingze Tang
wiley   +1 more source

The clinical importance of the cardiovascular-kidney-metabolic syndrome and related mortality. [PDF]

open access: yesFront Clin Diabetes Healthc
Hoffmann K   +3 more
europepmc   +1 more source

Inflammation, Immunity, and Cardiovascular Diseases

open access: yesMed Research, EarlyView.
Cardiovascular stress signals (e.g., hemodynamic shear, oxidized lipids, and ischemia) act on endothelial and immune cells to activate and amplify inflammation through NF‐κB, the NLRP3 inflammasome, and JAK/STAT signaling, inducing proinflammatory cytokines/chemokines (IL‐6, IL‐1β, TNF‐α, and CCL2) and self‐amplifying circuits; clinically, inflammatory
Dezhi Guo   +8 more
wiley   +1 more source

Sex differences in the progression of cardiovascular-kidney-metabolic syndrome. [PDF]

open access: yesEur Heart J Open
Taya S   +18 more
europepmc   +1 more source

Associations between body mass index categories and geriatric assessment tests among older adults with chronic kidney disease: A prospective study

open access: yesNutrition in Clinical Practice, EarlyView.
Abstract Background The optimal body mass index (BMI) among older adults with chronic kidney disease (CKD) in geriatric assessment tests has not been studied. This study investigates the relationship between BMI and Comprehensive Geriatric Assessment (CGA) parameters among older adults with CKD.
Yelda Deligöz Bildaci   +5 more
wiley   +1 more source

Association between serum bicarbonate and low mid‐upper arm circumference in patients with non‐dialysis‐dependent chronic kidney disease: A cross‐sectional study

open access: yesNutrition in Clinical Practice, EarlyView.
Abstract Background Although previous experimental studies showed that metabolic acidosis promoted muscle catabolism and impaired protein synthesis, few epidemiological studies reported an independent association between serum bicarbonate levels and muscle atrophy in patients with chronic kidney disease (CKD).
Nobuhisa Morimoto   +13 more
wiley   +1 more source

Beyond BMI: The Impact of the New Lancet Commission Diagnostic Criteria on Prevalence of Obesity in the United States

open access: yesObesity, EarlyView.
ABSTRACT Objective This study compared population characteristics and overall US prevalence of obesity over time using the BMI criteria and the 2025 Lancet Commission criteria (i.e., the Excess Adiposity criteria). Methods We analyzed data from 58,053 adults aged ≥ 20 years in the National Health and Nutrition Examination Survey from 1999 to 2023.
Jennifer H. Hwang, Neda Laiteerapong
wiley   +1 more source

Development and Validation of a Nomogram Incorporating Preoperative N‐Terminal Pro‐Brain Natriuretic Peptide to Predict Major Adverse Cardiovascular Events in Renal Transplant Recipients

open access: yesOrgan Medicine, EarlyView.
We developed and validated a preoperative nomogram incorporating NT‐proBNP to predict major adverse cardiovascular events in renal transplant recipients. Using a LASSO‐Cox model based on 582 training and 181 validation cases, we identified NT‐proBNP, age, body mass index, diabetes, and retransplantation as key predictors.
Guobin Wu   +9 more
wiley   +1 more source

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