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1.
Saudi Med J ; 44(4): 379-384, 2023 Apr.
Article in English | MEDLINE | ID: mdl-37062558

ABSTRACT

OBJECTIVES: To identify patients who are at risk for a first cardiovascular event, mitigate the risk, and institute early intervention. The triglyceride to high-density lipoprotein-C (TG/HDL-C) ratio has been found to be a very useful biomarker for directing treatment and prevention therapy. METHODS: This retrospective cross-sectional study included adult patients (aged >18 years) experiencing first-time acute coronary syndrome (ACS). We examined all patient databases for a definite diagnosis of angina, non-ST segment elevation myocardial infarction (NSTEMI), or ST-segment elevation myocardial infarction (STEMI). Lipid profiles were obtained prior to or at the time of admission. RESULTS: A total of 265 patients were included in the study (mean age 57.83 ± 11.4 years) and 79.2% were men. Male gender, presence of diabetes, raised total cholesterol, raised low-density lipoprotein (LDL), and raised troponin level on admission were significantly positively correlated with STEMI (p=0.004, p=0.001, p<0.001, and p<0.001), whereas TG/HDL-C ratio was significantly negatively correlated with STEMI (p=0.048), while there was no significant results with NSTEMI (p=0.264) and angina (p=0.326). Total cholesterol and raised low-density lipoprotein (LDL) were significantly positively correlated with NSTEMI (p=0.013 and p=0.024). CONCLUSION: Patients with first-time ACS may not have an increased TG/HDL-C ratio. High LDL levels had the most significant association with an ACS event, along with total cholesterol and diabetes. Further research is needed on a larger scale to determine the association of TG/HDL-C ratio with ACS and differentiate the different types of ACS events according to their clinical and laboratory characteristics.


Subject(s)
Acute Coronary Syndrome , Myocardial Infarction , Non-ST Elevated Myocardial Infarction , ST Elevation Myocardial Infarction , Adult , Humans , Male , Middle Aged , Aged , Female , Lipoproteins, HDL , Triglycerides , Acute Coronary Syndrome/diagnosis , ST Elevation Myocardial Infarction/diagnosis , Non-ST Elevated Myocardial Infarction/diagnosis , Retrospective Studies , Cross-Sectional Studies , Risk Factors , Cholesterol , Lipoproteins, LDL , Cholesterol, HDL
2.
Toxicol Res (Camb) ; 12(1): 62-75, 2023 Feb.
Article in English | MEDLINE | ID: mdl-36866212

ABSTRACT

Background: Acute intoxication with central nervous system (CNS) xenobiotics is an increasing global problem. Predicting the prognosis of acute toxic exposure among patients can significantly alter the morbidity and mortality. The present study outlined the early risk predictors among patients diagnosed with acute exposure to CNS xenobiotics and endorsed bedside nomograms for identifying patients requiring intensive care unit (ICU) admission and those at risk of poor prognosis or death. Methods: This study is a 6-year retrospective cohort study conducted among patients presented with acute exposure to CNS xenobiotics. Results: A total of 143 patients' records were included, where (36.4%) were admitted to the ICU, and a significant proportion of which was due to exposure to alcohols, sedative hypnotics, psychotropic, and antidepressants (P = 0.021). ICU admission was associated with significantly lower blood pressure, pH, and HCO3 levels and higher random blood glucose (RBG), serum urea, and creatinine levels (P < 0.05). The study findings indicate that the decision of ICU admission could be determined using a nomogram combining the initial HCO3 level, blood pH, modified PSS, and GCS. HCO3 level < 17.1 mEq/L, pH < 7.2, moderate-to-severe PSS, and GCS < 11 significantly predicted ICU admission. Moreover, high PSS and low HCO3 levels significantly predicted poor prognosis and mortality. Hyperglycemia was another significant predictor of mortality. Combining initial GCS, RBG level, and HCO3 is substantially helpful in predicting the need for ICU admission in acute alcohol intoxication. Conclusion: The proposed nomograms yielded significant straightforward and reliable prognostic outcomes predictors in acute exposure to CNS xenobiotics.

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