Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Background: Recently, a new scoring system was developed that uses the red blood cell distribution width (RDW), delta neutrophil index (DNI), and platelet count (PC) to predict mortality in patients with sepsis. We investigated whether a modified simple scoring system based on the RDW, DNI, and mean platelet volume-to-PC (MPV/PC) ratio could predict the mortality of patients with sepsis, and compared it to the previous scoring system.
Methods: We conducted a retrospective cohort study of 264 adults who had been treated for sepsis in an emergency department between January 2016 and February 2019. Each patient was rated on a scale of 0 to 3 according to the modified scoring system. Point values were assigned based on RDW > 14.5%, DNI > 5.0%, and MPV/PC ratio >10.1.
Results: The 28-day mortality rate was 14.4%. Those who died had higher scores than those who survived (mean: 1.55 ± 0.92 vs 0.93 ± 0.78, < .001). The area under the curve for the new scoring system was higher than that of the previous scoring system (0.685 vs 0.645).
Conclusion: The modified scoring system was a good predictor of the 28-day mortality and was more useful than the previous scoring system for predicting mortality in patients with sepsis.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1177/0885066620933245 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Age-related amyloid beta dynamics modeled with the generalized additive model for location, scale, and shape (GAMLSS) across diverse populations: Cross-sectional trajectories and longitudinal validation.
Alzheimers Dement
September 2025
Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, South Korea.
Introduction: We developed and validated age-related amyloid beta (Aβ) positron emission tomography (PET) trajectories using a statistical model in cognitively unimpaired (CU) individuals.
Methods: We analyzed 849 CU Korean and 521 CU non-Hispanic White (NHW) participants after propensity score matching. Aβ PET trajectories were modeled using the generalized additive model for location, scale, and shape (GAMLSS) based on baseline data and validated with longitudinal data.
Machine learning predicts improvement of functional outcomes in spinal cord injury patients after inpatient rehabilitation.
Front Rehabil Sci
August 2025
Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, CA, United States.
Introduction: Spinal cord injury (SCI) presents a significant burden to patients, families, and the healthcare system. The ability to accurately predict functional outcomes for SCI patients is essential for optimizing rehabilitation strategies, guiding patient and family decision making, and improving patient care.
Methods: We conducted a retrospective analysis of 589 SCI patients admitted to a single acute rehabilitation facility and used the dataset to train advanced machine learning algorithms to predict patients' rehabilitation outcomes.
Preclinical dementia rating scores are associated with plasma phosphorylated tau-217.
Alzheimers Dement (Amst)
September 2025
Introduction: Simple screening tools are critical for assessing Alzheimer's disease (AD)-related pre-dementia changes. This study investigated longitudinal scores from the Quick Dementia Rating System (QDRS), a brief study partner-reported measure, in relation to baseline levels of the AD biomarker plasma pTau217 in individuals unimpaired at baseline.
Methods: Data from the Wisconsin Registry for Alzheimer's Prevention (N = 639) were used to examine whether baseline plasma pTau217 (ALZpath assay on Quanterix platform) modified QDRS or Preclinical Alzheimer's Cognitive Composite (PACC3) trajectories (mixed-effects models; time = age).
Glycan dysregulation as one of major metabolic subtypes is associated with TERC overexpression and poor outcomes in cervical cancer.
Front Immunol
September 2025
Department of Medicine, Division of Hematology, Bioclinicum and Center for Molecular Medicine, Karolinska Institute and Karolinska University Hospital Solna, Stockholm, Sweden.
Background: Metabolic reprogramming is an important hallmark of cervical cancer (CC), and extensive studies have provided important information for translational and clinical oncology. Here we sought to determine metabolic association with molecular aberrations, telomere maintenance and outcomes in CC.
Methods: RNA sequencing data from TCGA cohort of CC was analyzed for their metabolic gene expression profile and consensus clustering was then performed to classify tumors into different groups/subtypes.
Evaluation of Joint Effect of Frailty and Sleep Health on Cardiometabolic Multimorbidity in Aging Population.
Nat Sci Sleep
September 2025
Department of Geriatrics, Tianjin Medical University General Hospital; Tianjin Key Laboratory of Elderly Health; Tianjin Geriatrics Institute, Tianjin, People's Republic of China.
Background: Sleep and frailty are established influencing factors for cardiometabolic diseases (CMDs). However, their joint effects on cardiometabolic multimorbidity (CMM) in older adults remain poorly understood. This study aimed to assess the joint effect of sleep health and frailty on CMD prevalence and severity, with an emphasis on subgroup-specific health risk profiles.
View Article and Find Full Text PDF