Accuracy of delirium risk factors in adult intensive care unit patients

Inflammatory and nutritional markers predict the risk of post-operative delirium in elderly patients following total hip arthroplasty

Objectives

This study intended to explore whether albumin-associated inflammatory and nutritional markers could predict post-operative delirium (POD) in older patients after total hip arthroplasty (THA). In addition, we established a nomogram model for POD prediction.

Methods

Totally, 254 elderly cases who received THA were included. Clinical and laboratory data of these patients were retrospectively collected. Albumin-associated inflammatory and nutritional markers included neutrophil-to-albumin ratio (NAR), CRP-to-albumin ratio (CAR), prognostic nutritional index (PNI), and systemic inflammation score (SIS). The LASSO, univariate and multivariate logistic regression analyses were utilized to screen risk factors. A nomogram model was developed according to the results of multivariate regression analyses.

Results

Among 254 patients, 49 cases had POD with an incidence of 19.3%. LASSO regression and multivariate logistic analyses suggested that preoperative NAR, preoperative PNI, preoperative SIS, and age >75 years were risk factors for POD. A nomogram model was developed according to the results of multivariate logistic analyses. The calibration curve suggested that the predicted probability of this nomogram model was in good line with the actual probability. The DCA showed that this nomogram model had net benefits for the prediction of POD for elderly patients following THA.

Conclusion

Albumin-associated inflammatory and nutritional markers including NAR, PNI, and SIS could predict POD in elderly patients following THA.

Clinical characteristics and outcomes of antibiotic-associated encephalopathy in patients with end-stage kidney disease

Objective

End-stage kidney disease (ESKD) patients have a higher risk of antibiotic-associated encephalopathy (AAE) than other patients. We aimed to evaluate the prevalence, risk factors and outcomes of AAE in ESKD patients.

Method

A retrospective study of ESKD patients treated with intravenous antibiotics in our hospital from Jan. 1, 2006, to Dec. 31, 2015 was performed. AAE was diagnosed by the modified Delphi method. Control individuals were randomly selected from the remaining patients who did not exhibit neurologic symptoms. Logistic regression analysis was used to identify risk factors for AAE as well as the association between AAE and outcome.

Result

A total of 2104 patients were included in the study. The prevalence of AAE in our study was 4.4% (92/2104). The multivariate logistic regression analysis revealed that anuria (OR = 8.04, 95% CI: 4.13–15.65, p < 0.001), history of central nervous system disorder (OR = 3.03, 95% CI: 1.21–7.56, p = 0.018) and hypoalbuminemia (OR= 1.87, 95% CI: 1.01–3.47, p = 0.046) were independent factors associated with AAE in ESKD patients. After adjustment for confounders, AAE was associated with composite outcomes of in-hospital mortality and treatment withdrawal (OR = 4.36, 95% CI: 2.09–9.10, p < 0.001).

Conclusion

The prevalence of AAE was 4.4% in ESKD patients and varied among different antibiotics. Anuria, history of central nervous system disorder and hypoalbuminemia were associated with AAE in ESKD patients. AAE is associated with worse outcomes in ESKD patients.