Frailty, length of stay and cost in hip fracture patients

Improvement of Post-Surgery Constipation in Patients with Fractures by Lactobacillus rhamnosus JYLR-127: A Single-Blind Randomized Controlled Trial

The high prevalence of constipation after fracture surgery brings intolerable discomfort to patients on the one hand, and affects post-surgery nutrient absorption on the other hand, resulting in poor prognosis. Given the acknowledged probiotic properties of Lactobacillus rhamnosus, 100 fracture patients with post-surgery constipation were centrally enrolled and administered orally with L. rhamnosus JYLR-127 to assess the efficacy of probiotic-adjuvant therapy in alleviating post-fracture constipation symptoms. The results showed that L. rhamnosus JYLR-127 improved fecal properties, promoted gastrointestinal recovery, and relieved constipation symptoms, which were mainly achieved by elevating Firmicutes (p < 0.01) and descending Bacteroidetes (p < 0.001), hence remodeling the disrupted intestinal microecology. In addition, blood routine presented a decrease in C-reactive protein levels (p < 0.05) and an increase in platelet counts (p < 0.05) after probiotic supplementation, prompting the feasibility of L. rhamnosus JYLR-127 in anti-inflammation, anti-infection and hemorrhagic tendency prevention after fracture surgery. Our study to apply probiotics in ameliorating constipation after fracture surgery is expected to bless the bothered patients, and provide broader application scenarios for L. rhamnosus preparations.

Retrospective Analysis of Risk Factors in Geriatric Hip Fracture Patients Predictive of Surgical Intensive Care Unit Admission

INTRODUCTION

Although numerous risk factors and prediction models affecting morbidity and mortality in geriatric hip fracture patients have been previously identified, there are scant published data on predictors for perioperative Surgical Intensive Care Unit (SICU) admission in this patient population. Determining if a patient will need an SICU admission would not only allow for the appropriate allocation of resources and personnel but also permit targeted clinical management of these patients with the goal of improving morbidity and mortality outcomes. The purpose of this study was to identify specific risk factors predictive of SICU admission in a population of geriatric hip fracture patients. Unlike previous studies which have investigated predominantly demographic, comorbidity, and laboratory data, the present study also considered a frailty index and length of time from injury to presentation in the Emergency Department (ED).

METHODS

A total of 501 geriatric hip fracture patients admitted to a Level 1 trauma center were included in this retrospective, single-center, quantitative study from January 1, 2019, to December 31, 2022. Using a logistical regression analysis, more than 25 different variables were included in the regression model to identify values predictive of SICU admission. Predictive models of planned versus unplanned SICU admissions were also estimated. The discriminative ability of variables in the final models to predict SICU admission was assessed with receiver operating characteristic curves' area under the curve estimates.

RESULTS

 Frailty, serum lactate > 2, and presentation to the ED > 12 hours after injury were significant predictors of SICU admission overall (P = 0.03, 0.038, and 0.05 respectively). Additionally, the predictive model for planned SICU admission had no common significant predictors with unplanned SICU admission. Planned SICU admission significant predictors included an Injury Severity Score (ISS) of 15 and greater, a higher total serum protein, serum sodium <135, systolic blood pressure (BP) under 100, increased heart rate on admission to ED, thrombocytopenia (<120), and higher Anesthesia Society Association physical status classification (ASA) score (P = 0.007, 0.04, 0.05, 0.002, 0.041, 0.05, and 0.005 respectively). Each SICU prediction model (overall, planned, and unplanned) demonstrated sufficient discriminative ability with the area under the curve (AUC) values of 0.869, 0.601, and 0.866 respectively. Finally, mean hospital Length of Stay (LOS) and mortality were increased in SICU admissions when compared to non-SICU admissions.

CONCLUSION

Of the three risk factors predictive of SICU admission identified in this study, two have not been extensively studied previously in this patient population. Frailty has been associated with increased mortality and postoperative complications in hip fracture patients, but this is the first study to date to use a novel frailty index specifically designed and validated for use in hip fracture patients. The other risk factor, time from injury to presentation to the ED serves as an indicator for time a hip fracture patient spent without receiving medical attention. This risk factor has not been investigated heavily in the past as a predictor of SICU admissions in this patient population.

Prioritizing patients for hip fracture surgery: the role of frailty and cardiac risk

Introduction

The number of patients with hip fractures continues to rise as the average age of the population increases. Optimizing outcomes in this cohort is predicated on timely operative repair. The aim of this study was to determine if patients with hip fractures who are frail or have a higher cardiac risk suffer from an increased risk of in-hospital mortality when surgery is postponed >24 h.

Methods

All patients registered in the 2013-2021 TQIP dataset who were ≥65 years old and underwent surgical fixation of an isolated hip fracture caused by a ground-level fall were included. Adjustment for confounding was performed using inverse probability weighting (IPW) while stratifying for frailty with the Orthopedic Frailty Score (OFS) and cardiac risk using the Revised Cardiac Risk Index (RCRI). The outcome was presented as the absolute risk difference in in-hospital mortality.

Results

A total of 254,400 patients were included. After IPW, all confounders were balanced. A delay in surgery was associated with an increased risk of in-hospital mortality across all strata, and, as the degree of frailty and cardiac risk increased, so too did the risk of mortality. In patients with OFS ≥4, delaying surgery >24 h was associated with a 2.33 percentage point increase in the absolute mortality rate (95% CI: 0.57-4.09, p = 0.010), resulting in a number needed to harm (NNH) of 43. Furthermore, the absolute risk of mortality increased by 4.65 percentage points in patients with RCRI ≥4 who had their surgery delayed >24 h (95% CI: 0.90-8.40, p = 0.015), resulting in a NNH of 22. For patients with OFS 0 and RCRI 0, the corresponding NNHs when delaying surgery >24 h were 345 and 333, respectively.

Conclusion

Delaying surgery beyond 24 h from admission increases the risk of mortality for all geriatric hip fracture patients. The magnitude of the negative impact increases with the patient's level of cardiac risk and frailty. Operative intervention should not be delayed based on frailty or cardiac risk.

Frailty, periinterventional complications and outcome in patients undergoing percutaneous mitral and tricuspid valve repair

BACKGROUND

Frailty is common in elderly and multimorbid patients and associated with increased vulnerability to stressors.

METHODS

In a single centre study frailty according to Fried criteria was assessed in consecutive patients before transcatheter mitral and tricuspid valve repair. Postprocedural infections, blood transfusion and bleeding and renal failure were retrospectively assessed from records. Median follow-up time for survival was 560 days (IQR: 363 to 730 days).

RESULTS

90% of 626 patients underwent mitral valve repair, 5% tricuspid valve repair, and 5% simultaneous mitral and tricuspid valve repair. 47% were classified as frail. Frailty was associated with a significantly increased frequency of bleeding (16 vs 10%; p = 0.016), blood transfusions (9 vs 3%; p =  < 0.001) and infections (18 vs 10%; p = 0.006), but not with acute kidney injury (20 vs 20%; p = 1.00). Bleeding and infections were associated with longer hospital stays, with a more pronounced effect in frail patients (interaction test p < 0.05, additional 3.2 and 4.1 days in frail patients, respectively). Adjustment for the occurrence of complications did not attenuate the increased risk of mortality associated with frailty (HR 2.24 [95% CI 1.62-3.10]; p < 0.001).

CONCLUSIONS

Bleeding complications and infections were more frequent in frail patients undergoing transcatheter mitral and tricuspid valve repair and partly explained the longer hospital stay. Albeit some of the complications were associated with higher long-term mortality, this did not explain the strong association between frailty and mortality. Further research is warranted to explore interventions targeting periprocedural complications to improve outcomes in this vulnerable population.

Application of the (fr)AGILE scale in the evaluation of multidimensional frailty in elderly inpatients from internal medicine wards: a cross-sectional observational study

Background

With the rapid growth of an aging global population and proportion, the prevalence of frailty is constantly increasing. Therefore, finding a frailty assessment tool suitable for clinical application by physicians has become the primary link in the comprehensive management of frailty in elderly patients. This study used the (fr)AGILE scale to investigate the frailty status of elderly patients from internal medicine wards and identified relevant factors that affect the severity of frailty.

Method

In this study, 408 elderly inpatients in internal medicine departments of Qilu Hospital of Shandong University from May 2021 to August 2022 were enrolled as research subjects, and a cross-sectional observational study was conducted. Researchers evaluated the frailty based on the (fr)AGILE scale score. The general condition, past medical history, physical examination, laboratory examination, nutrition control score, intervention and treatment measures and other elderly patient information was collected. Logistic regression analysis was used to analyze the relevant factors that affect the severity of frailty and hospitalization costs.

Results

According to the (fr)AGILE scale score, the elderly patients were divided into groups to determine whether they were frail and the severity of the frailty. Among them, 164 patients were in the prefrailty stage, which accounted for 40.2%. There were 188 cases of mild frailty that accounted for 46.1%, and 56 cases of moderate to severe frailty that accounted for 13.7%. Decreased grip strength, elevated white blood cell levels, and low sodium and potassium are independent risk factors affecting the severity of frailty. As the severity of frailty increases, the proportion of sodium, potassium, albumin supplementation as well as anti-infection gradually increases.

Conclusion

Frailty is a common elderly syndrome with a high incidence among elderly patients in internal medicine departments. The main manifestations of frailty vary with different severity levels. Inflammation, anemia, and poor nutritional status can lead to an increase in the severity of frailty as well as blood hypercoagulability, myocardial damage, and additional supportive interventions. This ultimately leads to prolonged hospitalization and increased hospitalization costs.

A short length of hospital stay is not associated with risk of readmission among hip fracture patients - a Swedish national register-based cohort study

BACKGROUND

Hospital length of stay (LoS) after a hip fracture likely mirrors health status; however, a too short hospitalization might increase the risk of readmission. In this national register-based study, we investigated the association between LoS after a hip fracture and the risk of readmissions.

METHODS

73,551 patients with a first hip fracture between 2012 and 2019 were followed for 4 months after discharge. LoS was categorized by cubic splines and the association with readmissions was analyzed with Cox regression models.

RESULTS

The mean LoS was 11 ± 6 days and 25% of the study population had at least one readmission. Compared to the mean LoS of 9-12 days, there was a 18% decreased risk of readmission for LoS of 2-4 days (HR 0.82 [95% CI 0.77-0.87]) and 13% decrease for 5-8 days (HR 0.87 [95% CI 0.83-0.91]), when adjusting for sex, age, walking ability, ASA score, CCI, complications during hospitalization and living arrangements. For longer LoS, risk of readmission increased (13-23 days: HR 1.09 [95% CI 1.05-1.13] and 24 + days: HR 1.19 [95% CI 1.11-1.28]). The results were robust across sex, age, and living arrangements. The most common specific reasons for readmission were trauma/injury, cardiovascular and complications, and the proportions did not differ considerably between short and long LoS-categories.

CONCLUSIONS

While a long LoS can be explained by the care need of the patient, a short LoS - compared to the average stay - does not increase the risk of readmission regardless of health status and hospital complications in a Swedish setting.

Hip fractures after 60 years of age in France in 2005-2017: Nationwide sample of statutory-health-insurance beneficiaries

BACKGROUND

Proximal femoral factures (PFFs) constitute a heavy medical, social, and economic burden. Overall, orthopaedic conditions vary widely in France regarding the patients involved and treatments applied. For PFFs specifically, data are limited. Moreover, the ongoing expansion of geriatric orthopaedics holds promise for improving overall postoperative survival. The objectives of this retrospective study of a nationwide French database were: 1) to describe the pathway of patients with PFFs regarding access to care, healthcare institutions involved, and times to management; 2) to look for associations linking these parameters to post-operative mortality.

HYPOTHESIS

Across France, variations exist in healthcare service availability and time to management for patients with PFFs.

MATERIAL AND METHODS

A retrospective analysis of data in a de-identified representative sample of statutory-health-insurance beneficiaries in France (Échantillon généraliste des bénéficiaires, EGB, containing data for 1/97 beneficiaries) was conducted. All patients older than 60 years of age who were managed for PFFs between 2005 and 2017 were included. The following data were collected for each patient: age, management method, Charlson's Comorbidity Index (CCI), home-to-hospital distance by road, and type of hospital (public, non-profit private, or for-profit private), and time to surgery were collected. The study outcomes were the incidence of PFF, mortality during the first postoperative year, changes in mortality between 2005 and 2017, and prognostic factors.

RESULTS

In total 8026 fractures were included. The 7561 patients had a median age of 83.8 years and a mean CCI of 4.6; both parameters increased steadily over time, by 0.18 years and 0.06 points per year, respectively (p<10-4 for both comparisons). Management was by total hip replacement in 3299 cases and internal fixation in 4262 cases; this information was not available for 465 fractures. The overall incidence increased from 90/100,000 in 2008 to 116/100,000 in 2017 (p=0.03). Of the 8026 fractures, 5865 (73.1%) were managed in public hospitals (and this proportion increased significantly over time), 1629 (20.3%) in non-profit private hospitals (decrease over time), and 264 (3.3%) in for-profit private hospitals. The home-to-hospital distance ranged from 7.5 to 38.5km and increased over time by 0.26km/year (95% confidence interval [95%CI]: 0.15-0.38) (p<10-4). Median time to surgery was 1 day [1-3 days], with no significant difference across hospital types. Mortality rates at 90 days and 1 year were 10.5% (843/8026) and 20.8% (1673/8026), respectively. Two factors were significantly associated with day-90 mortality: the CCI (hazard ratio [HR], 1.087 [95%CI: 1.07-1.10] [p<10-4]) and time to surgery>1 day (HR 1.35 [95%CI: 1.15-1.50] [p<0.0001]). Day-90 mortality decreased significantly from 2005 to 2017 (HR 0.95 [95%CI: 0.92-0.97] [p<10-4]), with no centre effect.

CONCLUSION

The management of PFF in patients older than 60 varied widely across France. Time to surgery longer than 1 day was a major adverse prognostic factor whose effects persisted throughout the first year. This factor was present in over half the patients. Day-90 mortality decreased significantly from 2005 to 2017 despite increases in age and comorbidities.

LEVEL OF EVIDENCE

IV Retrospective cohort study.

Validation of the orthopedic frailty score for measuring frailty in hip fracture patients: a cohort study based on the United States National inpatient sample

BACKGROUND

The Orthopedic Frailty Score (OFS) has been proposed as a tool for measuring frailty in order to predict short-term postoperative mortality in hip fracture patients. This study aims to validate the OFS using a large national patient register to determine its relationship with adverse outcomes as well as length of stay and cost of hospital stay.

METHODS

All adult patients (18 years or older) registered in the 2019 National Inpatient Sample Database who underwent emergency hip fracture surgery following a traumatic fall were eligible for inclusion. The association between the OFS and mortality, complications, and failure-to-rescue (FTR) was determined using Poisson regression models adjusted for potential confounders. The relationship between the OFS and length of stay and cost of hospital stay was instead determined using a quantile regression model.

RESULTS

An estimated 227,850 cases met the study inclusion criteria. There was a stepwise increase in the rate of complications, mortality, and FTR for each additional point on the OFS. After adjusting for potential confounding, OFS 4 was associated with an almost ten-fold increase in the risk of in-hospital mortality [adjusted IRR (95% CI): 10.6 (4.02-27.7), p < 0.001], a 38% increased risk of complications [adjusted IRR (95% CI): 1.38 (1.03-1.85), p = 0.032], and an almost 11-fold increase in the risk of FTR [adjusted IRR (95% CI): 11.6 (4.36-30.9), p < 0.001], compared to OFS 0. Patients with OFS 4 also required a day and a half additional care [change in median length of stay (95% CI): 1.52 (0.97-2.08), p < 0.001] as well as cost approximately $5,200 more to manage [change in median cost of stay (95% CI): 5166 (1921-8411), p = 0.002], compared to those with OFS 0.

CONCLUSION

Patients with an elevated OFS display a substantially increased risk of mortality, complications, and failure-to-rescue as well as a prolonged and more costly hospital stay.

Controlling Nutritional Status (CONUT) Score as a Predictive Marker in Hospitalized Frail Elderly Patients

The Controlling Nutritional Status (CONUT) score is a simple screening tool able to detect altered nutritional status as well as to predict clinical adverse outcomes in specific populations. No data are available in frail patients. This study aims to investigate the predictive role of the CONUT score on mortality and length of stay (LOS) in frail patients admitted to an Internal Medicine Department. We consecutively enrolled 246 patients aged 65 years or older, divided into two groups based on frailty status. The two groups were further divided according to low (<5) or high (≥5) CONUT score. Length of stay (LOS) was higher in frail patients than not-frail patients, as well as in the frail group with high CONUT scores compared to the frail group with low CONUT scores. Multiple linear regression showed an increase of 2.1 days for each additional point to the CONUT score. In-hospital mortality was higher in frail compared to not-frail patients, but it did not differ between frail patients with high CONUT scores and frail patients with low CONUT scores. An analysis of the survival curve for 30-day mortality showed a higher mortality rate for frail/high-CONUT-score patients as compared to the not-frail/low-CONUT-score group. The CONUT score shows high prognostic value for higher LOS-but not mortality-in the clinical setting of internal medicine departments for old frail patients.

The Impact of Frailty on Postoperative Complications in Total En Bloc Spondylectomy for Spinal Tumors

Total en bloc spondylectomy (TES) is an effective treatment for spinal tumors. However, its complication rate is high, and the corresponding risk factors remain unclear. This study aimed to clarify the risk factors for postoperative complications after TES, including the patient's general condition, such as frailty and their levels of inflammatory biomarkers. We included 169 patients who underwent TES at our hospital from January 2011-December 2021. The complication group comprised patients who experienced postoperative complications that required additional intensive treatments. We analyzed the relationship between early complications and the following factors: age, sex, body mass index, type of tumor, location of tumor, American Society of Anesthesiologists score, physical status, frailty (categorized by the 5-factor Modified Frailty Index [mFI-5]), neutrophil-to-lymphocyte ratio, C-reactive protein/albumin ratio, preoperative chemotherapy, preoperative radiotherapy, surgical approach, and the number of resected vertebrae. Of the 169 patients, 86 (50.1%) were included in the complication group. Multivariate analysis showed that high mFI-5 scores (odds ratio [OR] = 2.99, p < 0.001) and an increased number of resected vertebrae (OR = 1.87, p = 0.018) were risk factors for postoperative complications. Frailty and the number of resected vertebrae were independent risk factors for postoperative complications after TES for spinal tumors.

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.