Postoperative Delirium in Patients Receiving Hip Bipolar Hemiarthroplasty for Displaced Femoral Neck Fractures: The Risk Factors and Further Clinical Outcomes

A correlational study of plasma galectin-3 as a potential predictive marker of postoperative delirium in patients with acute aortic dissection

This study aimed to demonstrate whether plasma galectin-3 could predict the development of postoperative delirium (POD) in patients with acute aortic dissection (AAD). Prospective, observational study. Cardiac surgery intensive care unit. Consecutive patients who were diagnosed with AAD and operated at the Cardiac Medical Center of Fujian Province between December 2020 and December 2022. Patients were classiffed into two groups according to the Confusion Assessment Method for the Intensive Care Unit: POD group and NON-POD group. Each patient's plasma was tested before emergency surgery. Baseline demographic data and preoperative, intraoperative, and postoperative clinical data were collected. The short-term clinical outcomes were followed up daily. The rate of POD was calculated. The risk factors for POD were analyzed through univariate analysis and multivariate logistic regression. Receiver operating characteristic (ROC) curves were used to assess the ability of plasma galectin-3 to predict POD. A total of 309 study subjects were included in this study, and the rate of POD was 38.8%. Patients with AAD were categorized into the POD and NON-POD cohorts postoperatively based on their CAM-ICU scores. There was no statistically significant difference in the baseline characteristics between the two groups (P > 0.05). However, patients in the POD group had significantly elevated plasma galectin-3 levels (P < 0.001). The ROC curves showed that plasma galectin-3 had a sensitivity of 72.5% and a specificity of 70.9% as a potential biomarker for the diagnosis of POD. The critical value of plasma galectin-3 for diagnosing POD was 9.18 ng/mL. Plasma galectin-3 levels remained an independent predictor of POD after controlling for different variables (P < 0.001). Elevated plasma galectin-3 levels are associated with an increased risk of POD. Plasma galectin-3 may be a prospective biomarker for predicting POD.

The effect of delirium on the association between frailty and postoperative major complications in elderly patients: a mediation analysis

PURPOSE

Both preoperative frailty and postoperative delirium (POD) are associated with higher risk of postoperative complications. But it is unclear if the effect of preoperative frailty on postoperative complications was mediated by POD.

METHODS

This study was a mediation analysis of a pooled database. Patients aged ≥ 60 years who underwent elective non-cardiac surgery were enrolled. Preoperative frailty was defined as the modified frailty index (mFI) ≥ 0.27. POD was assessed twice daily within the first 3 days using the Confusion Assessment Method (CAM) for patients without intubation and the CAM for intensive care unit (CAM-ICU) for intubated patients. Major complications within postoperative 30 days were screened. Mediation analysis was employed to explore the relationships between frailty, POD, and postoperative complications.

RESULTS

A total of 4684 patients were included. The prevalence of frailty was 10.4% (489/4684). In comparison with non-frail patients, frail patients had a higher incidence of POD (12.7% [62/489] vs 6.5% [271/4195], RR = 2.102, 95% CI 1.568-2.819, P < 0.001) and more postoperative complications (21.5% [105/489] vs 16.7% [701/4195], RR = 1.363, 95% CI 1.082-1.716, P = 0.008). The adjusted total and direct associations between frailty and postoperative complications were 5.8% (adjusted β, 95% CI, 1.8-9.5%; P < 0.001) and 5.0% (adjusted β, 95% CI, 1.1-8.7%; P = 0.004), respectively. A significant indirect association via POD was observed (adjusted β = 0.8%; 95% CI, 0.3-1.4%; P < 0.001), accounting for 13.8% of the total effect.

CONCLUSION

Preoperative frailty is associated with an increased risk of postoperative complications, mediated in part by early POD, in elderly patients following non-cardiac surgery. Given the modest effect size, further research is warranted to confirm these findings.

Association of polypharmacy and perioperative outcomes: Systematic review and meta-analysis

Polypharmacy is becoming more prevalent due to an ageing population. As more patients are undergoing surgical procedures, it is important to determine which group of patients are at higher risk of poorer outcomes. This review aimed to provide a summary of existing literature and to determine if polypharmacy is associated with poorer perioperative outcomes and to identify any gaps in the literature. This systematic review was conducted using electronic databases PubMed, Embase and Web of Science from their inception to December 2024. Statistical analysis was performed using generic inverse variance method. We identified 45 eligible studies from different countries and different surgical populations. Thirty-two studies (71.11%) defined polypharmacy as the use of five or more medications. Polypharmacy is significantly associated with postoperative delirium (odds ratio = 1.62, 95% confidence interval = 1.32-1.98, I2 = 0%). Although polypharmacy is found to be significantly associated with postoperative delirium, the relationship between polypharmacy and postoperative delirium remains complex.

Study on the predictive model of delirium risk after surgery for elderly hip fractures based on meta-analysis

OBJECTIVE

To develop and validate a risk prediction model for postoperative delirium in elderly patients with hip fractures, aiming to identify high-risk patients and implement preventive measures.

METHODS

A systematic search of five authoritative medical databases was conducted, retrieving a total of 1368 relevant articles. After screening, 44 high-quality studies were included in the meta-analysis, analyzing 13 potential risk factors, such as age, gender, diabetes, and history of stroke. A risk prediction model was constructed and validated in a cohort of 189 elderly hip fracture patients. The model's predictive performance was evaluated using ROC curves, with calibration assessed through the Hosmer-Lemeshow test, and clinical utility examined via Decision Curve Analysis (DCA) and Clinical Impact Curves (CIC).

RESULTS

The meta-analysis identified the following as independent risk factors for postoperative delirium: age (≥ 70 years), male gender, diabetes, history of stroke, preoperative comorbidities (≥ 2), previous delirium, preoperative cognitive impairment, low preoperative albumin levels (≤ 40 g/L), prolonged preoperative waiting time (≥ 48 h), anemia (≤ 100 g/L), ASA classification (≥ 3), use of general anesthesia, and prolonged surgery duration (≥ 2 h). The prediction model demonstrated strong efficiency in the validation cohort, with an AUC of 0.956, sensitivity of 87.3%, specificity of 94.8%, and a Brier score of 0.144, indicating high predictive accuracy and calibration. DCA and CIC analyses showed the model to have strong clinical decision-making value and impact across most thresholds.

CONCLUSION

The risk prediction model developed in this study shows high predictive accuracy and clinical utility, making it valuable for identifying high-risk patients and implementing preventive measures in clinical practice. However, the study has limitations, such as potential retrospective bias, and further validation in larger, multicenter prospective studies is needed to confirm the model's broader applicability and stability.

The interrelationship between multiple long-term conditions (MLTC) and delirium: a scoping review

INTRODUCTION

Delirium and multiple long-term conditions (MLTC) share numerous risk factors and have been shown individually to be associated with adverse outcomes following hospitalisation. However, the extent to which these common ageing syndromes have been studied together is unknown. This scoping review aims to summarise our knowledge to date on the interrelationship between MLTC and delirium.

METHODS

Searches including terms for delirium and MLTC in adult human participants were performed in PubMed, EMBASE, Medline, Psycinfo and CINAHL. Descriptive analysis was used to summarise findings, structured according to Synthesis Without Meta-analysis reporting guidelines.

RESULTS

After removing duplicates, 5256 abstracts were screened for eligibility, with 313 full-texts sought along with 17 additional full-texts from references in review articles. In total, 140 met inclusion criteria and were included in the final review. Much of the literature explored MLTC as a risk factor for delirium (n = 125). Fewer studies explored the impact of MLTC on delirium presentation (n = 5), duration (n = 3) or outcomes (n = 6) and no studies explored how MLTC impacts the treatment of delirium or whether having delirium increases risk of developing MLTC. The most frequently used measures of MLTC and delirium were the Charlson Comorbidity Index (n = 98/140) and Confusion Assessment Method (n = 81/140), respectively.

CONCLUSION

Existing literature largely evaluates MLTC as a risk factor for delirium. Major knowledge gaps identified include the impact of MLTC on delirium treatment and the effect of delirium on MLTC trajectories. Current research in this field is limited by significant heterogeneity in defining both MLTC and delirium.

Association of systemic inflammation response index with mortality risk in older patients with hip fracture: a 10-year retrospective cohort study

Objective

With a rapidly aging global population, the assessment of mortality risk following hip fracture in older adults has received increasing attention. Recently, the system inflammation response index (SIRI) has been identified as a novel prognostic marker to reflect both systemic inflammation and immune status. However, it is not yet known whether SIRI is a potential predictor of subsequent death in hip fracture patients. Therefore, this study aimed to investigate the association between SIRI and mortality in older patients with hip fracture.

Methods

A total of 1,206 older hip fracture patients undergoing surgery between January 2013 and December 2022 were consecutively derived from our longitudinal database. Patients were divided into three groups according to SIRI tertiles, calculated as neutrophil × monocyte / lymphocyte. Survival status was obtained from medical records or telephone interviews, and the study outcome was all-cause mortality after hip fracture at the longest follow-up. Multivariate Cox proportional hazard model and restricted cubic spline (RCS) regression model were used to evaluate the association between SIRI and mortality. Moreover, a series of sensitivity analyses were conducted to further validate the robustness of the association.

Results

During a median follow-up of 43.85 months, 337 patients (27.94%) died. After full adjustment, each unit increase in SIRI was significantly associated with a 2.2% increase in overall mortality (95% confidence interval [CI]: 1.001-1.042, p = 0.029). Similarly, compared with the first tertile of SIRI, the second and third tertile showed a 1.335-fold (95% CI: 1.011-1.762, p = 0.042) and 1.447-fold (95% CI, 1.093-1.917, p = 0.010) higher risk of death. Sensitivity analyses confirmed the stability of the association. Moreover, RCS analysis revealed a positive non-linear relationship between SIRI and mortality (P for nonlinearity = 0.021).

Conclusion

High SIRI level at admission was significantly and positively associated with an increased risk of death, suggesting that SIRI may be an independent predictor of mortality in older patients with hip fracture.

The impact of perioperative enhanced recovery nursing model on postoperative delirium and rehabilitation quality in elderly patients with femoral neck fractures

BACKGROUND

The aim of this study was to investigate the effects of introducing the Enhanced Recovery After Surgery (ERAS) nursing model on postoperative delirium occurrence and rehabilitation quality in elderly patients with femoral neck fractures.

METHODS

A total of 160 elderly patients with femoral neck fractures, who met the inclusion criteria and were admitted between March 2021 to March 2023, were divided into two groups: the traditional care group and the ERAS nursing model group. In addition to traditional care measures, the ERAS nursing model group received interventions based on the principles of the ERAS nursing model. The occurrence of delirium and sleep quality were observed at 24, 48, and 72 h postoperatively, as well as during the overall hospital stay. The duration of hospitalization, time to first mobilization, and post-discharge follow-up on quality of life were compared between the two groups.

RESULTS

The ERAS nursing model group exhibited a significant difference in the occurrence of delirium at 48 and 72 h postoperatively, as well as during the overall hospital stay (P < 0.05). However, there was no significant difference in the occurrence of delirium at 24 h postoperatively (P > 0.05). The sleep quality of the two groups showed a statistically significant difference (P < 0.05). The ERAS nursing model group had shorter time to first mobilization, reduced hospitalization duration, and higher Harris and SF-36 scores during post-discharge follow-up, compared to the traditional care group (P < 0.05).

CONCLUSIONS

The implementation of the ERAS nursing model in elderly patients with femoral neck fractures improved postoperative sleep quality, reduced delirium occurrence, shortened average hospitalization duration, and enhanced patients' quality of life.