Results 211 to 220 of about 935,466 (405)
THE METABOLISM OF CREATINE AND CREATININE
, 1915 Victor C. Myers, Morris S. Fine
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Risk Factors and Predictive Models for Sarcopenia in Older Adults
AGING MEDICINE, EarlyView.Independent risk factors for sarcopenia identified by Lasso regression and logistic regression in the study were BMI, prealbumin, albumin/globulin ratio (A/G ratio), serum creatinine, and phosphorus. These factors were used to construct a nomogram model and a decision tree model. Both models showed effectiveness in predicting sarcopenia in older adults,
Shiyuan Zhang +9 more
wiley +1 more source
Testing Causal Explanations: A Case Study for Understanding the Effect of Interventions on Chronic Kidney Disease [PDF]
arXivRandomized controlled trials (RCTs) are the standard for evaluating the effectiveness of clinical interventions. To address the limitations of RCTs on real-world populations, we developed a methodology that uses a large observational electronic health record (EHR) dataset.
arxiv
The Influence of the Nervous System on the Excretion of Creatinine [PDF]
, 1921 Abraham Albert Weinberg
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Annals of Gastroenterological Surgery, EarlyView.This multicenter study investigated 14 152 minimally invasive esophagectomies (MIEs) using data from the Japanese National Clinical Database and showed a significantly lower operative mortality rate in high‐volume centers than in low‐volume centers. However, no differences in morbidity rates were found between facility sizes.
Taro Oshikiri +4 more
wiley +1 more source
CardioLab: Laboratory Values Estimation and Monitoring from Electrocardiogram Signals -- A Multimodal Deep Learning Approach [PDF]
arXivBackground: Laboratory values are fundamental to medical diagnosis and management, but acquiring these values can be costly, invasive, and time-consuming. While electrocardiogram (ECG) patterns have been linked to certain laboratory abnormalities, the comprehensive modeling of these relationships remains underexplored.
arxiv