Medicine
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The objective of the current study is to assess the usefulness of HbA1cAp ratio in predicting in-hospital major adverse cardiac events (MACEs) among acute ST-segment elevation myocardial infarction (STEMI) patients that have undergone percutaneous coronary intervention (PCI). Further, the study aims to construct a ratio nomogram for prediction with this ratio. The training cohort comprised of 511 STEMI patients who underwent emergency PCI at the Huaibei Miners' General Hospital between January 2019 and May 2023. ⋯ In patients with STEMI who underwent PCI, it was noted that a higher HbA1c of the ApoA1 ratio is significantly associated with in-hospital MACE. In addition, a nomogram is constructed having considered the above-mentioned risk factors to provide predictive information on in-hospital MACE occurrence in these patients. In particular, this tool is of great value to the clinical practitioners in determination of patients with a high risk.
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This study aimed to explore chronic kidney disease (CKD)-related knowledge and its predictors among non-dialysis patients with CKD in the Kingdom of Saudi Arabia (KSA). It was a cross-sectional survey conducted at 2 nephrology centers in KSA. Data were gathered using a survey questionnaire that included sociodemographic information and enquiries about CKD. ⋯ In general, the understanding of CKD within the CKD patient community in the KSA was at a moderate level. However, male respondents had a greater understanding of CKD than did female respondents. The findings of this study indicate an urgent need to conduct educational activities to improve CKD knowledge among patients with CKD in the KSA.
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To assess knowledge about cardiovascular diseases (CVD) among the general population, we emphasized gender-related disparities and other lifestyle and health-related factors. This cross-sectional study was conducted among 395 individuals from the general population of Jeddah, Saudi Arabia. An online questionnaire was administered to assess knowledge of CVD types, symptoms, and risk factors. ⋯ Predictors of good CVD knowledge included university-level education, daily healthy food consumption, and perceived life as highly stressful; nonetheless, sex showed no significant effect. While the general population displayed a suboptimal understanding of CVD, notable sex disparities were observed, highlighting the need for tailored public health interventions. Emphasizing cognitive and behavioral aspects can foster better prevention and management strategies, given the evident gender disparities.
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The investigation into individual survival rates within the patient population was typically conducted using the Cox proportional hazards model. This study was aimed to evaluate the performance of machine learning algorithm in predicting survival rates more than 5 years for individual patients with colorectal cancer. A total of 475 patients with colorectal cancer (CRC) and complete data who had underwent surgery for CRC were analyze to measure individual's survival rate more than 5 years using a machine learning based on penalized Cox regression. ⋯ The least absolute shrinkage and selection operator penalized model displayed a mean AUC of 0.67 ± 0.06, the smoothly clipped absolute deviation penalized model exhibited a mean AUC of 0.65 ± 0.07, the unpenalized model showed a mean AUC of 0.64 ± 0.09. Notably, the random survival forests model outperformed the others, demonstrating the most favorable performance evaluation with a mean AUC of 0.71 ± 0.05. Compared to the conventional unpenalized Cox model, recent machine learning techniques (LASSO, SCAD, RSF) showed advantages for data interpretation.
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Observational Study
Construction and validation of a predictive model for lower extremity deep vein thrombosis after total knee arthroplasty.
The aim was to investigate the independent risk factors for lower extremity deep vein thrombosis (DVT) after total knee arthroplasty, and to establish a nomogram prediction model accordingly. Data were collected from total knee replacement patients from January 2022 to December 2023 in our hospital. ⋯ A total of 652 patients with total knee arthroplasty were included in the study, and 142 patients after total knee arthroplasty developed deep veins in the lower extremities, with an incidence rate of 21.78%. After univariate and multivariate logistic regression analyses, a total of 5 variables were identified as independent risk factors for lower extremity DVT after total knee arthroplasty: age > 60 years (OR: 1.70; 95% CI: 1.23-3.91), obesity (OR: 1.51; 95% CI: 1.10-1.96), diabetes mellitus (OR: 1.80; 95% CI: 1.23-2.46), D-dimer > 0.5 mg/L (OR: 1.47; 95% CI: 1.07-1.78), and prolonged postoperative bed rest (OR: 1.64; 95% CI: 1.15-3.44). the nomogram constructed in this study for lower extremity DVT after total knee arthroplasty has good predictive accuracy, which helps physicians to intervene in advance in patients at high risk of lower extremity DVT after total knee arthroplasty.