Objective To investigate the effect of monocyte count to high density lipoprotein ratio (MHR) on early complications after off-pump coronary artery bypass grafting and to explore the predictive factors for early complications in patients after off-pump coronary artery bypass grafting. Methods The clinical data of patients who underwent simple off-pump coronary artery bypass grafting from October 2021 to September 2023 in our hospital were retrospectively analyzed. The patients were divided into a low value group and a high value group according to the median MHR value. The clinical data of the two groups were compared, and binary logistic regression analysis was used to explore the and predictors of atrial fibrillation (AF) and acute kidney injury (AKI) after coronary artery bypass grafting. Results A total of 220 patients were included, with a median MHR of 0.48. There were 108 patients in the low value group (MHR<0.48), including 71 males and 37 females, with an average age of 65.28±7.85 years. There were 112 patients in the high-value group (MHR≥0.48), including 84 males and 28 females, with an average age of 64.57±8.75 years. There was no statistical difference between the two groups in terms of general basic data such as gender or age (P>0.05). The incidence of postoperative AF and AKI in the high-value group was significantly higher than that in the low-value group (P<0.05), and no statistical difference in terms of other postoperative complications was observed. Binary logistic regression analysis showed that MHR was a risk factor for postoperative AKI and postoperative AF (P<0.05). Conclusion The study shows that MHR is a risk factor for new-onset AF and AKI after coronary artery bypass grafting.
Objective To explore the value of quick Sequential Organ Failure Assessment (qSOFA) score and blood markers in differentiating and predicting emergency heat stroke from sepsis, and to construct a rapid differentiation model. Methods A retrospective cohort study was conducted, including heat stroke patients and sepsis patients admitted to the Chongqing Emergency Medical Center between January 2021 and December 2024. The qSOFA score and blood marker indicators at admission were collected, with the “final diagnosis (sepsis or heat stroke) within 48 hours after admission” as the study endpoint. The logistic regression analysis method was selected to screen for independent predictive factors, construct a joint prediction model, and evaluate the discriminant efficacy using the area under the curve (AUC) of the receiver operating characteristic. Results A total of 133 sepsis patients and 66 heat stroke patients were included. The qSOFA score showed differentiation ability in univariate analysis (P=0.002), but had no independent predictive value after adjusting for diabetes, age, and gender (P=0.565). The results of multiple logistic regression analysis showed that procalcitonin (PCT), C-reactive protein (CRP), and monocyte count (MONO) were independent predictive factors (P<0.05). The combined prediction model of PCT, CRP, and MONO (AUC=0.984) showed higher discriminatory efficacy than PCT (AUC=0.809), CRP (AUC=0.886), and MONO (AUC=0.671). Conclusions The prediction model constructed by combining PCT, CRP, and MONO has good efficiency in differentiating sepsis from heat stroke, providing a reliable clinical decision-making tool for early accurate differentiation in the emergency department.