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Glucose Disposal Rate, Inflammation, Mortality, Dyslipidemia - News Directory 3

By Dr. Jennifer Chen

Glucose Disposal Rate, Inflammation, Mortality, Dyslipidemia - News Directory 3

Okay, here's a breakdown of the details provided, ⁢focusing on the key details about the study's methodology and variables.I'll ⁣organize it for clarity:

1. Risk Prediction & Cut-off Values:

* Nomogram Use: ⁤ The study ⁣utilized a ⁣nomogram (referenced as Chen et al., 2023 - Reference 18) to predict in-hospital mortality risk in elderly patients with acute myocardial infarction.

* MSRSM: The Modified⁣ Recursive Summation Method (MSRSM) was employed to determine optimal⁤ cut-off values for two inflammatory/nutritional markers:

* ⁢ eGDR ⁤(enhanced Glasgow-durham Risk Score):

* Low: < 7.84

⁢* ⁣ High: ≥ 7.84

* SIRI (systemic Immune-Inflammation Index):

⁤ * Low: ≤ 1.54

⁢ * ⁢ High: > 1.54

* Reference for MSRSM: Zhang et al., 2023 (Reference 28) provides the basis for the MSRSM application in this context, specifically for predicting prognosis in multiple myeloma patients.

* Stratification: Participants were categorized into four groups based on the combinations of eGDR and SIRI levels, allowing⁣ for risk stratification.

2. Study Variables (Data ⁣Collected):

the study collected a⁢ wide range of data, categorized as follows:

* ⁢ Demographic:

* Age

* ⁢ Sex (Male/Female)

* Race (Non-Hispanic Black, mexican American, Non-Hispanic White, ⁢Other)

* Educational Attainment (Less than⁢ high school, High school/equivalent, More than high school)

* Family Income-to-Poverty Ratio (PIR) (<1, 1-3, >3)

* Lifestyle:

* ⁤ Smoking Status (Never, Former, Current)

* Alcohol Consumption (Never, Former, Mild, Moderate, Heavy)

* Clinical/Laboratory Data:

* Height

* Weight

* Waist Circumference

⁣ * HbA1c (Glycated Hemoglobin)

* FBG (Fasting Blood Glucose)

* TG (Triglycerides)

* TC (total⁣ Cholesterol)

* LDL-C (Low-density Lipoprotein Cholesterol)

* HDL-C (High-Density Lipoprotein Cholesterol)

* White Blood Cell ⁢Count

* ⁢ Neutrophil Count

⁣ * Monocyte Count

* Lymphocyte ⁤Count

* Medical Conditions⁤ (Defined by specific criteria):

* Hypertension: Self-reported diagnosis, medication use, or SBP ≥ 140 mmHg and/or DBP⁤ ≥ 90 mmHg.

⁣ * Diabetes Mellitus (DM): Fasting plasma⁣ glucose ≥ 7.0 mmol/L, 2-hour OGTT ≥ 11.1⁤ mmol/L, random blood glucose ≥ 11.1 mmol/L,HbA1c ≥ 6.5%, medication use, or self-reported⁢ diagnosis.

3. Data Collection Standards:

* ⁢ All routine biochemical tests were conducted following the guidelines in the NHANES Laboratory/Medical Technologist Manual of⁤ Procedures.

4. references:

* Reference 18: Chen Y,⁤ Xie K, Han Y, Xu Q, Zhao X. An⁢ easy-to-use nomogram based on ⁣SII and SIRI ⁣to predict in-hospital mortality risk in elderly patients⁣ with acute myocardial infarction. J Inflamm Res. 2023;16:4061-71.

* Reference 28: Zhang L, Chen S, Wang W, ⁣Wang Y, Liang⁢ Y. Inflammatory and nutritional scoring system for predicting prognosis in patients with⁣ newly diagnosed multiple myeloma. ⁢J Inflamm Res.2023;16:7-17.

* ⁢ Reference 29: Wan Z, Guo J, Pan ⁢A, chen C, ⁣Liu L, liu

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