The prognostic value of postoperative platelet levels in elderly patients after valve replacement surgery: a retrospective cohort study.

BACKGROUND: Further research is needed to assess the risk and prognosis after valve replacement surgery in elderly patients. This study aims to assess the prognostic value of platelet levels following valve replacement in elderly patients. METHODS: A retrospective analysis was conducted on 3814 elderly individuals who underwent valve replacement surgery, categorized into quartiles based on postoperative platelet levels. Univariate and multiple regression analysis were used to assess the risk factors associated with postoperative platelet levels and in-hospital death.The Receiver Operating Characteristic (ROC) curve was utilized to establish the postoperative platelet level threshold indicative of in-hospital mortality risk, while the Kaplan-Meier curve compared the one-year postoperative survival among patients with differing postoperative platelet levels. RESULTS: The low postoperative platelet levels group had a higher incidence of massive bleeding (> 400 ml), necessitating platelet transfusion and prolonged cardiopulmonary bypass during surgery (P < 0.001). However, postoperative occurrences of heart failure and stroke did not achieve statistical significance (P > 0.05). Multivariate regression analysis disclosed an association between postoperative platelet levels and in-hospital death (OR: 2.040, 95% CI: 1.372-3.034, P < 0.001). Over the one-year follow-up, patients with low platelet levels postoperatively had poorer overall survival than patients with higher platelet levels (P < 0.001) CONCLUSION: Postoperative platelets can serve as a prognostic indicator after valve surgery in elderly patients as a simple and easily available biochemical indicator. Enhanced monitoring and management postoperative platelet level in the elderly may be beneficial to improve the survival outcome of patients.

The mediating role of obesity in the development of depression in individuals with diabetes: A population-based study from NHANES 2005-2014.

OBJECTIVE: Depression is one of the common manifestations of diabetes population, and previous studies have shown that there is a correlation between depression and diabetes. This study was conducted retrospectively through the large National Health and Nutrition Examination Survey (NHANES) to explore the risk of depression in different individuals with diabetes. METHODS: We collected data on a total of 33,001 individuals in 5 cycles of NHANES and compared the incidence of depression in the individuals with diabetes, pre-diabetes or without diabetes groups after weighting. A weighted logistic review was used to assess the association between diabetes and depression at different BMI, sex, and age levels. Mediating analysis was used to assess the risk of depression in people with obesity-mediated diabetes. In addition, the non-linear relationship between BMI and depression at different factor levels was evaluated using restricted cubic strips (RCS). RESULTS: Diabetes was significantly associated with depression in obesity, especially for female (OR: 1.45, 95 % CI: 1.20-1.75, P < 0.001) and young (

Analysis of risk factors for severe acute kidney injury in patients with acute myocardial infarction: A retrospective study.

Background: Patients with acute myocardial infarction (AMI) complicated by acute kidney injury (AKI) tend to have a poor prognosis. However, the exact mechanism of the co-occurrence of the two diseases is unknown. Therefore, this study aims to determine the risk factors for severe AKI in patients with AMI. Methods: A total of 2022 patients were included in the Medical Information Mart for Intensive Care. Variables were identified via univariate logistic regression, and the variables were corrected via multivariate logistic regression. Restricted cubic splines were used to examine the risks associated with the variables. The Kaplan-Meier method was used to compare the risk of severe AKI among the patients. Results: Patients with severe AKI had a higher in-hospital mortality rate (28.6% vs. 9.0%, P < 0.001) and a longer duration of intensive care (6.5 days vs. 2.9 days, P < 0.001). In patients with AMI, the mean systolic blood pressure (SBP); international normalized ratio (INR); the levels of blood urea nitrogen (BUN), glucose, and calcium; and a history of liver disease were found to be the independent risk factors for developing severe AKI after their admission. Increased levels of BUN and blood glucose and a high INR increased the risk of severe AKI; however, increased levels of calcium decreased the risk; SBP presented a U-shaped curve relationship. Conclusions: Patients with severe AKI have a poor prognosis following an episode of AMI. Furthermore, in patients with AMI, SBP; INR; a history of liver disease; and the levels of BUN, glucose, and calcium are the independent risk factors for developing severe AKI after their admission.

Prognostic Value of Blood Urea Nitrogen for Short-Term Mortality in Patients with Infective Endocarditis.

INTRODUCTION: Blood urea nitrogen (BUN) is a metabolic product validated to be an independent risk factor in the prognosis of several diseases. However, the prognostic value of BUN in patients with infective endocarditis (IE) remains unevaluated. METHODS: A total of 1371 patients with a diagnosis of IE were included and divided into four groups according to BUN (mmol/L) at admission: < 3.5 (n = 343), 3.5-4.8 (n = 343), 4.8-6.8 (n = 341), and ≥ 6.8 (n = 344). Restricted cubic spline was used to assess the association of BUN with in-hospital mortality. Multivariate analysis was performed to identify the independent risk factors for adverse outcomes. RESULTS: The in-hospital mortality reached 7.4%, while the 6-month mortality was 9.8%. The restricted cubic spline plot exhibited an approximately linear relationship between BUN and in-hospital mortality. Receiver operating characteristics curve analysis showed that the optimal cut-off of BUN for predicting in-hospital death was 6.8 mmol/L. Kaplan-Meier analysis showed that patients with BUN > 6.8 mmol/L had a higher 6-month mortality than other groups (log rank = 97.9, P < 0.001). Multivariate analysis indicated that BUN > 6.8 mmol/L was an independent predictor indicator for both in-hospital [adjusted odds ratio (aOR) = 2.365, 95% confidence interval (CI) 1.292-4.328, P = 0.005] and 6-month mortality [adjusted hazard ratio (aHR) = 2.171, 95% CI 1.355-3.479, P = 0.001]. CONCLUSIONS: BUN is suitable for independently predicting short-term mortality in patients with IE.

The effect of perioperative diuretic administration on acute kidney injury in patients with acute myocardial infarction after percutaneous coronary intervention: a real-world retrospective study.

PURPOSE: The relationship between diuretic use and contrast-induced acute kidney injury (CI-AKI) after contrast exposure remains unclear. In this study, we conducted a retrospective analysis using propensity score matching (PSM) to investigate the effect of perioperative diuretic administration on contrast-induced acute kidney injury (CI-AKI) in patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI). METHODS: A total of 1894 patients with AMI who underwent PCI were retrospectively analyzed using PSM and multivariate models. Depending on whether diuretics were used, the patients were divided into two groups: the perioperative diuretic group (497 patients, 26.2%) and the non-diuretic group (1397 patients, 73.8%). And the relationship between perioperative diuretic administration and CI-AKI was evaluated by multiple regression models. Furthermore, Kaplan Meier survival curve ratio was used to evaluate and compare overall postoperative survival between the two groups. RESULTS: Most patients who received diuretics were older (67 vs. 60 years, respectively, p < 0.001) and women (22.5% vs. 15.2%, p < 0.001) and had combined hypertension (62.8% vs. 47%, p < 0.001), atrial fibrillation (5.4% vs. 1.8%, p < 0.001), stroke (9.3% vs. 4.9%, p < 0.001), and diabetes mellitus (33.4% vs. 23.6%, p < 0.001) compared to those who did not. After the baseline characteristics were balanced using the PSM model, no significant difference was observed in the incidence of postoperative CI-AKI (22.7% vs. 19.5%, p = 0.356) and major cardiovascular adverse events (21.5% vs. 18.7%, p = 0.398). Multiple regression analysis showed no association between perioperative diuretic administration and postoperative CI-AKI occurrence (odds ratio: 1.14, 95% confidence interval: 0.86-1.51, p = 0.371). Further subgroup analysis and sensitivity analysis confirmed the above findings. CONCLUSION: We found no significant association between perioperative diuretic administration and postoperative CI-AKI in patients with AMI who underwent PCI.