β-Adrenergic blockade in patients with dementia and hip fracture is associated with decreased postoperative mortality

Predicting morbidity and mortality after surgery for isolated traumatic spinal injury without spinal cord injury

BACKGROUND

Traumatic spinal injuries are associated with a high risk of morbidity and mortality. The aim of this study is to investigate which variables best predict adverse outcomes in patients who had surgery for isolated traumatic spinal injury without spinal cord injury.

METHODS

The American College of Surgeons Trauma Quality Improvement Program database was used to identify adult (18 years or older) surgically managed patients with an isolated traumatic spinal injury, without spinal cord injury admitted between 2013 and 2021. An isolated injury was defined as a spine Abbreviated Injury Scale score ≥2 and an Abbreviated Injury Scale score ≤1 in the remaining body regions, as well as corresponding International Classification of Diseases, Ninth and Tenth Revision, codes. The predictive value of demographic, clinical, and comorbidity data was evaluated using logistic regression models and ranked using the permutation importance method.

RESULTS

A total of 39,457 patients were included in the study, of whom 554 died during hospitalization. The most important variables for predicting in-hospital mortality were age, sex, Glasgow Coma Scale on admission, Orthopedic Frailty Score, and cervical spine injury. The most important variables for predicting complications were age, cervical spine injury, the need for cervical spine surgery, Revised Cardiac Risk Index, and alcohol use disorder. Finally, age, cervical spine injury, sex, Glasgow Coma Scale on admission, and Orthopedic Frailty Score had the highest relative importance when predicting failure to rescue. Models based on the five most important variables for each outcome demonstrated an excellent predictive ability for in-hospital mortality (area under the receiver operating characteristic curve [AUROC], 0.84; 95% confidence interval [CI], 0.82-0.86) and failure to rescue (AUROC [95% CI], 0.86 [0.84-0.87]) as well as an acceptable predictive ability for complications (AUROC [95% CI], 0.72 [0.71-0.73]).

CONCLUSION

The most important factors identified to predict mortality, complications, and failure to rescue in traumatic spinal injury patients without spinal cord injury who undergo surgery were patients' age, sex, frailty, cervical spine injury that necessitated surgical intervention, and cardiovascular risk.

LEVEL OF EVIDENCE

Prognostic and Epidemiological; Level III.

The relationship and predictive value of dementia and frailty for mortality in patients with surgically managed hip fractures

BACKGROUND

Both dementia and frailty have been associated with worse outcomes in patients with hip fractures. However, the interrelation and predictive value of these two entities has yet to be clarified. The current study aimed to investigate the predictive relationship between dementia, frailty, and in-hospital mortality after hip fracture surgery.

METHODS

All patients registered in the 2019 National Inpatient Sample Database who were 50 years or older and underwent emergency hip fracture surgery following a traumatic fall were eligible for inclusion. Logistic regression (LR) models were constructed with in-hospital mortality as the response variables. One model was constructed including markers of frailty and one model was constructed excluding markers of frailty [Orthopedic Frailty Score (OFS) and weight loss]. The feature importance of all variables was determined using the permutation importance method. New LR models were then fitted using the top ten most important variables. The area under the receiver-operating characteristic curve (AUC) was used to compare the predictive ability of these models.

RESULTS

An estimated total of 216,395 patients were included. Dementia was the 7th most important variable for predicting in-hospital mortality. When the OFS and weight loss were included, they replaced dementia in importance. There was no significant difference in the predictive ability of the models when comparing the model that included markers of frailty [AUC for in-hospital mortality (95% CI) 0.79 (0.77-0.81)] with the model that excluded markers of frailty [AUC for in-hospital mortality (95% CI) 0.79 (0.77-0.80)].

CONCLUSION

Dementia functions as a surrogate for frailty when predicting in-hospital mortality in hip fracture patients. This finding highlights the importance of early frailty screening for improvement of care pathways and discussions with patients and their families in regard to expected outcomes.

A nationwide analysis on the interaction between frailty and beta-blocker therapy in hip fracture patients

INTRODUCTION

Hip fracture patients, who are often frail, continue to be a challenge for healthcare systems with a high postoperative mortality rate. While beta-blocker therapy (BBt) has shown a strong association with reduced postoperative mortality, its effect in frail patients has yet to be determined. This study's aim is to investigate how frailty, measured using the Orthopedic Hip Frailty Score (OFS), modifies the effect of preadmission beta-blocker therapy on mortality in hip fracture patients.

METHODS

This retrospective register-based study included all adult patients in Sweden who suffered a traumatic hip fracture and subsequently underwent surgery between 2008 and 2017. Treatment effect was evaluated using the absolute risk reduction (ARR) in 30-day postoperative mortality when comparing patients with (BBt+) and without (BBt-) ongoing BBt. Inverse probability of treatment weighting (IPTW) was used to reduce potential confounding when examining the treatment effect. Patients were stratified based on their OFS (0, 1, 2, 3, 4 and 5) and the treatment effect was also assessed within each stratum.

RESULTS

A total of 127,305 patients were included, of whom 39% had BBt. When IPTW was performed, there were no residual differences in observed baseline characteristics between the BBt+ and BBt- groups, across all strata. This analysis found that there was a stepwise increase in the ARRs for each additional point on the OFS. Non-frail BBt+ patients (OFS 0) exhibited an ARR of 2.2% [95% confidence interval (CI) 2.0-2.4%, p < 0.001], while the most frail BBt+ patients (OFS 5) had an ARR of 24% [95% CI 18-30%, p < 0.001], compared to BBt- patients within the same stratum.

CONCLUSION

Beta-blocker therapy is associated with a reduced risk of 30-day postoperative mortality in frail hip fracture patients, with a greater effect being observed with higher Orthopedic Hip Frailty Scores.

The mortality burden of frailty in hip fracture patients: a nationwide retrospective study of cause-specific mortality

PURPOSE

Frailty is a condition characterized by a reduced ability to adapt to external stressors because of a reduced physiologic reserve, which contributes to the high risk of postoperative mortality in hip fracture patients. This study aims to investigate how frailty is associated with the specific causes of mortality in hip fracture patients.

METHODS

All adult patients in Sweden who suffered a traumatic hip fracture and underwent surgery between 2008 and 2017 were eligible for inclusion. The Orthopedic Hip Frailty Score (OFS) was used to classify patients as non-frail (OFS 0), pre-frail (OFS 1), and frail (OFS ≥ 2). The association between the degree of frailty and both all-cause and cause-specific mortality was determined using Poisson regression models with robust standard errors and presented using incidence rate ratios (IRRs) with corresponding 95% confidence intervals (CIs), adjusted for potential sources of confounding.

RESULTS

After applying the inclusion and exclusion criteria, 127,305 patients remained for further analysis. 23.9% of patients were non-frail, 27.7% were pre-frail, and 48.3% were frail. Frail patients exhibited a 4 times as high risk of all-cause mortality 30 days [adj. IRR (95% CI): 3.80 (3.36-4.30), p < 0.001] and 90 days postoperatively [adj. IRR (95% CI): 3.88 (3.56-4.23), p < 0.001] as non-frail patients. Of the primary causes of 30-day mortality, frailty was associated with a tripling in the risk of cardiovascular [adj. IRR (95% CI): 3.24 (2.64-3.99), p < 0.001] and respiratory mortality [adj. IRR (95% CI): 2.60 (1.96-3.45), p < 0.001] as well as a five-fold increase in the risk of multiorgan failure [adj. IRR (95% CI): 4.99 (3.95-6.32), p < 0.001].

CONCLUSION

Frailty is associated with a significantly increased risk of all-cause and cause-specific mortality at 30 and 90 days postoperatively. Across both timepoints, cardiovascular and respiratory events along with multiorgan failure were the most prevalent causes of mortality.

Dementia is a surrogate for frailty in hip fracture mortality prediction

Purpose

Among hip fracture patients both dementia and frailty are particularly prevalent. The aim of the current study was to determine if dementia functions as a surrogate for frailty, or if it confers additional information as a comorbidity when predicting postoperative mortality after a hip fracture.

Methods

All adult patients who suffered a traumatic hip fracture in Sweden between January 1, 2008 and December 31, 2017 were considered for inclusion. Pathological fractures, non-operatively treated fractures, reoperations, and patients missing data were excluded. Logistic regression (LR) models were fitted, one including and one excluding measurements of frailty, with postoperative mortality as the response variable. The primary outcome of interest was 30-day postoperative mortality. The relative importance for all variables was determined using the permutation importance. New LR models were constructed using the top ten most important variables. The area under the receiver-operating characteristic curve (AUC) was used to compare the predictive ability of these models.

Results

121,305 patients were included in the study. Initially, dementia was among the top ten most important variables for predicting 30-day mortality. When measurements of frailty were included, dementia was replaced in relative importance by the ability to walk alone outdoors and institutionalization. There was no significant difference in the predictive ability of the models fitted using the top ten most important variables when comparing those that included [AUC for 30-day mortality (95% CI): 0.82 (0.81–0.82)] and excluded [AUC for 30-day mortality (95% CI): 0.81 (0.80–0.81)] measurements of frailty.

Conclusion

Dementia functions as a surrogate for frailty when predicting mortality up to one year after hip fracture surgery. The presence of dementia in a patient without frailty does not appreciably contribute to the prediction of postoperative mortality.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00068-022-01960-9.

Early Detection of Pneumonia with the Help of Dementia in Geriatric Hip Fracture Patients

Objective

To investigate the role of dementia in pneumonia among geriatric patients with hip fracture and further develop an algorithm for stratifying risk of developing postoperative pneumonia.

Methods

The algorithm was developed after retrospectively analyzing 1344 hip fracture patients in the National Clinical Research Center for Orthopedics, Sports Medicine, and Rehabilitation from 1992 to 2012. Twenty‐eight variables were analyzed for evaluating the ability to predict postoperative pneumonia. The validation of the algorithm was performed in the MIMIC‐III database after enrolling 235 patients.

Results

One thousand five hundred and seventy‐nine patients were enrolled, 4.69% patients had postoperative pneumonia in our hospital, and 17.02% suffered pneumonia in the MIMIC‐III database. Dementia patients had more postoperative pneumonia (12.68% vs 4.24%, P = 0.0075), as compared with patients without dementia. The algorithm included nine predictors: dementia, age, coronary heart disease, the American Society of Anesthesiologists score, surgical method, mechanical ventilation, anemia, hypoproteinemia, and high creatinine. Internal validation showed the algorithm with dementia could improve predictive performance, while external validation found the algorithm with or without dementia both had similar and good predictive ability.

Conclusions

The algorithm has the potential to be a pragmatic risk prediction tool to calculate risk of pneumonia in clinical practice and it may also be applicable in critically ill hip fracture patients with dementia.