Factors associated with thirty-day mortality and intensive care unit admission in patients undergoing hip fracture surgery.

BACKGROUND: Various factors contribute to the development of mortality and morbidity in hip fracture surgeries. This study aims to investigate the effects of modifiable factors such as the type of anesthesia, anesthesia management, surgical method, and timing of surgery on 30-day mortality rates, intensive care unit admissions, and complications. METHODS: A total of 400 patients who underwent hip fracture surgery between January 2021 and December 2023 at a Training and Research Hospital were retrospectively analyzed. Patients were divided into two groups: those followed in the ward, named Group 1 (n=304), and those in the intensive care unit, named Group 2 (n=96). Recorded data included demographic characteristics, American Society of Anesthesiologists (ASA) physical status scores, types of comorbidities, anesthesia type, surgical method, surgical delay time, duration of surgery, blood transfusion requirements, and complications. RESULTS: Patients in Group 2 had higher mean age, comorbidity, and mortality rates compared to Group 1 (p<0.001). In terms of types of comorbidities, the rate of intensive care unit admission was higher in patients with coronary artery disease and chronic renal failure (p<0.001). Mean surgical delay and length of hospital stay were also higher in Group 2 (p<0.001). In multivariate logistic regression analysis, age (p<0.001, Odds Ratio [OR]=1.91, Confidence Interval [CI]=1.046-1.137), ASA score (p<0.001, OR=3.872, CI=1.913-7.838), duration of surgical delay (p<0.001, OR=2.029, CI=1.365-3.017), surgical method (p=0.003, OR=2.003, C=1.258-3.188), and length of hospital stay (p=0.006, OR=1.147, CI=1.04-1.266) were determined as predictive factors for 30-day mortality. CONCLUSION: This study found that age, ASA classification, length of hospital stay, surgical method, and surgical delay were predictive factors for both morbidity and mortality. Among these, surgical delay time appears to be a modifiable parameter when all factors are considered.

Palliative care is a viable option for frail elderly patients with neurocognitive disorders admitted for hip fractures.

IMPORTANCE: Most patients presenting with a hip fracture regardless of their comorbidities are surgically treated. A growing body of research states that a certain type of elderly patient could benefit more from a palliative approach. OBJECTIVE: Identify the patient who would benefit most from a palliative care approach instead of a surgery. DESIGN: Exploratory-matched retrospective cohort study between 2015 and 2021. SETTING: Single Level 1 Trauma Center. PARTICIPANTS: There were 2240 hip fracture patients admitted to our institution between 2015 and 2021. Patients over 65 years old with intertrochanteric or femoral neck fractures could be included. A total of 129 patients opted for palliative care (Palliative Group = PG). This cohort was compared to a matched cohort (for age, sex and fracture type) who underwent surgery but died within three months of the procedure (Surgery Deceased Group = SDG) and another matched cohort who survived more than three months (Surgery Alive Group = SAG) following surgery. MAIN OUTCOMES AND MEASURES: Medical charts were reviewed for patient demographics, autonomy level, level of care, neurocognitive disorders (NCD), fracture type, in-hospital data and outpatient death within three months of admission. Analysis was performed through univariate and multivariate models with SAS OnDemand for Academics (alpha 0.05). RESULTS: Patients in the PG (n = 129) were 88.2 ± 7.2 years old, 71.3% were females, and 61.2% had a femoral neck fracture. Patients in the SDG (n = 95) and SAG (n = 107) were well matched. The PG differed from the SDG (n = 95) and SAG (n = 107) regarding NCD (85.3% vs. 57.9% vs. 36.4%, p < 0.01) and the presence of Behavioral and psychological symptoms of dementia (BPSD) (19.4% vs. 5.3% vs. 3.7%, p < 0.01). There were more known heart failure (24.2% vs. 16.3%, p < 0.01) and Chronic Obstructive Pulmonary Disease (COPD) in the SDG group than in the PG group (26.6 vs. 14.7%, p = 0.02). Patients in the SAG have a significant lower rate of NCD (OR 2,7 (95%CI 1,5-5,0)), heart failure (OR 5,7 (95%CI 1,9-16,4)) and COPD (OR 2,8 (95%CI 1,2-6,3)) than other groups. Prefracture mobility, autonomy and living situation significantly differed between the groups. Median survival was six days in PG and 17 days in SDG. All groups lost autonomy and mobility. There were more complications in the SDG group than in the PG group. The end-of-care trajectory was death or hospice for most patients in the PG and SDG groups. More than 30% of the SAG group could not return home at discharge. CONCLUSION: The presence of an NCD and diminished prefracture autonomy strongly support counseling for palliative care. The high rate of complications when surgery is proposed for frail patients with multiple comorbidities suggests that the concept of palliative surgery needs to be revisited.

Preoperative Thyroid-Stimulating Hormone Levels and Three-Year Mortality in Elderly Hip Fracture Patients: Insights from a Prospective Cohort Study.

BACKGROUND It is unclear whether preoperative thyroid-stimulating hormone (TSH) level is correlated with long-term mortality in the elderly after hip fracture surgery. We aimed to assess the association between TSH levels and 3-year mortality in these patients. MATERIAL AND METHODS We enrolled patients aged 65 and above who had hip fracture surgery and thyroid function tests upon admission from 2018 to 2019. Patients were categorized based on TSH median value, quartiles, or thyroid function status. The median follow-up time was 3.1 years. Cox proportional hazards models were used to examine the correlation between TSH levels and mortality, adjusting for covariates. RESULTS Out of 799 eligible patients, 92.7% (741/799) completed the follow-up, with 20.6% (153/741) of those having died by the end of the follow-up. No statistically significant differences in mortality risks were found when stratified by TSH median value (HR 0.88, 95% CI 0.64-1.22, P=0.448) or quartiles (HR ranging from 0.90 to 1.13, P>0.05). Similarly, when categorized based on admission thyroid function status, patients who presented with hypothyroidism, subclinical hypothyroidism, hyperthyroidism, and subclinical hyperthyroidism upon admission did not demonstrate a statistically significant difference in mortality risk compared to those who were considered euthyroid (HR 1.34, 95% CI 0.72-2.49, P=0.359; HR 0.77, 95% CI 0.38-1.60, P=0.489; HR 1.15, 95% CI 0.16-8.30, P=0.890; HR 1.07, 95% CI 0.34-3.38, P=0.913, respectively). CONCLUSIONS Admission TSH is not significantly associated with 3-year mortality in geriatric patients after hip fracture surgery.

Effects of body mass index on mortality in elderly patients with hip fractures.

Hip fractures remain a substantial health concern, particularly among elderly individuals with osteoporosis, leading to high global mortality rates. This study aimed to analyze the association between body mass index (BMI) and postoperative mortality in patients who underwent surgery for hip fractures. A total of 680 patients treated at a single institution between January 2018 and December 2022 were included. Factors such as age, BMI, sex, Charlson Comorbidity Index (CCI), preoperative hemoglobin levels, American Society of Anesthesiologists score, anesthesia method, duration of surgery, and time from injury to surgery were assessed. Underweight status, male sex, higher CCI, and general anesthesia were significantly associated with 1-year and in-hospital mortality. Notably, underweight individuals exhibited a higher risk of mortality than normal-weight individuals, and female patients had lower mortality rates. This study underscores the importance of considering BMI, along with other demographic and clinical factors, in predicting postoperative mortality among patients with hip fractures, aiding the development of tailored management strategies to improve outcomes and reduce complications in this vulnerable patient population.

Effects of anesthesia and perioperative management on mortality in geriatric orthopedic surgery: a retrospective study of 451 patients.

OBJECTIVE: We aimed to investigate the effects of anesthesia methods and perioperative procedures on mortality in geriatric patients operated for hip fracture. PATIENTS AND METHODS: This retrospective study included patients over 65 years of age who underwent hip fracture surgery. Demographic data, risk scores, perioperative and anesthesia management were analyzed in terms of mortality. RESULTS: Data from 451 patients who were eligible for the study were analyzed. It was determined that there was no difference in mortality between the anesthesia methods administered to the patients in hip fracture surgery (p>0.05).  Being male increased the mortality risk by 4.568 times (95% CI: 1.215-17.168), and a one-unit increase in the number of erythrocyte suspensions given perioperatively increased the mortality risk by 2.801 times (95% CI: 1.509-5.197). Additionally, an American Society of Anesthesiologists (ASA) II score increased the mortality risk by 0.120 times (95% CI: 0.021-0.690), and a higher modified Charlson comorbidity index (mCCI) of 5-7 increased the mortality risk by 0.052 times (95% CI: 0.009-0.289). CONCLUSIONS: Although high ASA and mCCI scores, male sex, and blood transfusion were associated with mortality in geriatric hip fracture surgery, we found that the method of anesthesia did not affect mortality.

Comparative analysis of geriatric hip fracture management outcomes in teaching and nonteaching hospitals in Jordan.

Hip fractures are common orthopedic injuries that have significant impacts on patients and healthcare systems. Previous studies have shown varying outcomes for hip fracture management in different settings, with diverse postoperative outcomes and complications. While teaching hospital settings have been investigated, no studies have specifically examined hip fracture outcomes in teaching hospitals in Jordan or the broader Middle East region. Therefore, the aim of this study was to investigate this important outcome. A cohort comprising 1268 patients who underwent hip fracture fixation from 2017 to 2020 was analyzed for nine distinct outcomes. These outcomes encompassed time to surgery, ICU admissions, perioperative hemoglobin levels, length of hospital stay, readmission rates, revision procedures, and mortality rates at three time points: in-hospital, at 6-months, and at 1-year post-surgery. The analysis of 1268 patients (616 in teaching hospitals, 652 in non-teaching hospitals) showed shorter mean time to surgery in teaching hospitals (2.2 days vs. 3.6 days, p < 0.01), higher ICU admissions (17% vs. 2.6%, p < 0.01), and more postoperative blood transfusions (40.3% vs. 12.1%, p < 0.01). In-hospital mortality rates were similar between groups (2.4% vs. 2.1%, p = 0.72), as were rates at 6-months (3.1% vs. 3.5%, p = 0.65) and 1-year post-surgery (3.7% vs. 3.7%, p = 0.96). Geriatric hip fracture patients in teaching hospitals have shorter surgery times, more ICU admissions, and higher postoperative blood transfusion rates. However, there are no significant differences in readmission rates, hospital stays, or mortality rates at various intervals.

Frailty Is More Predictive of Mortality than Age in Patients With Hip Fractures.

OBJECTIVES: To investigate the association between the Comprehensive Geriatric Assessment-based Frailty Index and adverse outcomes in older adult patients undergoing hip fracture surgery. DESIGN: Retrospective cohort study. SETTING: Academic Level 1 Trauma Center. PATIENTS: All patients aged 65 or older who underwent surgical repair of a hip fracture between May 2018 and August 2020 were identified through institutional database review. OUTCOME MEASURES AND COMPARISONS: Data including demographics, FI, injury presentation, and hospital course were collected. Patients were grouped by FI as nonfrail (FI < 0.21), frail (0.21 ≤ FI < 0.45), and severely frail (FI > 0.45). Adverse outcomes of these groups were compared using Kaplan Meier survival analysis. Risk factors for 1-year rehospitalization and 2-year mortality were evaluated using Cox hazard regression. RESULTS: Three hundred sixteen patients were included, with 62 nonfrail, 185 frail, and 69 severely frail patients. The total population was on average 83.8 years old, predominantly white (88.0%), and majority female (69.9%) with an average FI of 0.33 (SD: 0.14). The nonfrail cohort was on average 78.8 years old, 93.6% white, and 80.7% female; the frail cohort was on average 84.5 years old, 92.4% white, and 71.9% female; and the severely frail cohort was on average 86.4 years old, 71.0% white, and 55.1% female. Rate of 1-year readmission increased with frailty level, with a rate of 38% in nonfrail patients, 55.6% in frail patients, and 74.2% in severely frail patients (P = 0.001). The same pattern was seen in 2-year mortality rates, with a rate of 2.8% in nonfrail patients, 36.7% in frail patients, and 77.5% in severely frail patients (P < 0.0001). Being classified as frail or severely frail exhibited greater association with mortality within 2 years than age, with hazard ratio of 17.81 for frail patients and 56.81 for severely frail patients compared with 1.19 per 5 years of age. CONCLUSIONS: Increased frailty as measured by the Frailty Index is significantly associated with increased 2-year mortality and 1-year hospital readmission rates after hip fracture surgery. Degree of frailty predicts mortality more strongly than age alone. Assessing frailty with the Frailty Index can identify higher-risk surgical candidates, facilitate clinical decision making, and guide discussions about goals of care with family members, surgeons, and geriatricians. LEVEL OF EVIDENCE: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

"Multidisciplinary fast-track" care can significantly reduce risk of mortality among hip fracture patients at least 80 years old: a single-center retrospective study.

BACKGROUND: "Multidisciplinary fast-track" (MFT) care can accelerate recovery and improve prognosis after surgery, but whether it is effective in older people after hip fracture surgery is unclear. METHODS: We retrospectively compared one-year all-cause mortality between hip fracture patients at least 80 years old at our institution who underwent hip fracture surgery between January 2014 and December 2018 and who then received MFT or conventional care. Multivariable regression was used to assess the association between MFT care and mortality after adjustment for confounders. RESULTS: The final analysis included 247 patients who received MFT care and 438 who received conventional orthopedic care. The MFT group showed significantly lower one-year mortality (8.9% vs. 14.4%, P = 0.037). Log-rank testing of Kaplan-Meier survival curves confirmed the survival advantage. However, the two groups did not differ significantly in rates of mortality during hospitalization or at 30 or 90 days after surgery. Regression analysis confirmed that MFT care was associated with lower risk of one-year mortality (hazard ratio [HR] 0.47, 95% confidence interval [CI] 0.281-0.788, P = 0.04), and the survival benefit was confirmed in subgroups of patients with anemia (HR 0.453, 95% CI 0.268-0.767, P = 0.003) and patients with American Society of Anesthesiologists grade III (HR 0.202, 95% CI 0.08-0.51, P = 0.001). CONCLUSIONS: MFT care can reduce one-year mortality among hip fracture patients at least 80 years old. This finding should be verified and extended in multi-center randomized controlled trials.

Phase Angle as a Predictor of Mortality in Older Patients with Hip Fracture.

The aim of our study is to determine if there is an association between phase angle obtained by bioelectrical impedance analysis (BIA) and mortality in older patients with fragility hip fractures. A prospective study of patients over 65 years old and hospitalized with a diagnosis of hip fracture was conducted. BIA was performed 24 to 48 h after surgery. Mortality was recorded, and the optimal phase angle cut-off value for predicting mortality was determined by using receiver operating characteristic (ROC) curves. A total of 262 patients were included. Of the patients studied, 10 (3.8%), 21 (8%), 39 (14.9%) and 53 (20.2%) died at 1, 3, 6 and 12 months after surgery, respectively. The phase angle cut-off for mortality at 12 months was 4.05° in women and 4.65° in men. A total of 94 patients (35.9%) were considered to have a low phase angle. After adjustment for possible confounders, mortality in patients with a low phase angle was 5.1 times higher at 1 month, 3.1 times higher at 3 months, 2.9 times higher at 6 months, and 2.8 times higher at 12 months. Phase angle is associated with prognosis in patients admitted for hip fracture regardless of age and comorbidities and can be positioned as a prognostic tool for mortality at 1, 3, 6 and 12 months.

Relationship between admission blood urea nitrogen levels and postoperative length of stay in patients with hip fracture: A retrospective study.

To investigate the relationship between admission blood urea nitrogen (BUN) levels and postoperative length of stay (LOS) in hip fracture (HF) patients. This retrospective study retrieved related data from the MIMIC-IV database, of which the laboratory variables were taken preoperatively. The patients were divided into 4 groups according to the BUN quartile levels. After exploring the nonlinear relationship between BUN and LOS by generalized additive model, their connection was further analyzed using the generalized linear models, quantile regression models, and interaction analysis. Receiver operating characteristic curve analysis and decision curve analysis were performed to evaluate its value in predicting first intensive care unit admission and in-hospital mortality. Totally 1274 patients with HF were enrolled in the study. There was a nonlinear relationship between BUN and LOS (P < .05). Besides, BUN was an independent predictor for LOS after adjusting different covariates in 3 models (P < .05). Age served as a significant interactor in this relationship (P < .05). Moreover, receiver operating characteristic curve and decision curve analysis revealed the predictive value of BUN for intensive care unit admission and in-hospital mortality in HF. Admission BUN level as a cost-effective and easy-to-collect biomarker is significantly related to LOS in patients with HF. It helps clinicians to identify potential high-risk populations and take effective preventions before surgery to reduce postoperative LOS.

Factors influencing hip fracture surgery after two days of hospitalization using a national administrative database.

Globally, hip fractures represent a significant and growing public health concern, particularly as the elderly population increases. The timing for surgery following hospitalization for hip fractures is a crucial indicator of acute quality care following recommended surgical guidelines of within two days to minimize complications and mortality. However, factors influencing delayed surgery and its outcomes remain debated. This study, used a national administrative database in South Korea, aimed to examine surgery performed within two days of hospitalization and investigate factors affecting delayed surgical interventions and associated outcomes. Of the hip fracture patients analyzed, 40.6% underwent surgery within two days of hospitalization. Factors associated with delayed surgery included: male patients (OR 1.190; 95% CI 1.022 ~ 1.385), medical aid beneficiary (OR 1.385; 95% CI 1.120 ~ 1.713), higher comorbidity index (OR 1.365; 95% CI 1.163 ~ 1.603, OR 1.612, 95% CI 1.327 ~ 1.958), weekends admission (OR 2.384; 95% CI 2.804 ~ 2.729), admission via outpatient department (OR 1.298, 95% CI 1.071 ~ 1.574). ORIF (OR 0.823, 95% CI 0.691 ~ 0.980) was associated with a significantly low risk of late surgery. While early surgery did not significantly impact in-hospital mortality or complications, it was associated with short and postoperative lengths of stay. This study underscores the need for prompt surgical intervention, particularly in high-risk patient populations, as well as highlights the importance of further research to elucidate the relationship between the timing of surgery and postoperative outcomes.

A Multidisciplinary Approach to Hip Fractures: Evaluating Outcomes on Mortality and Secondary Hip Fractures.

Fracture liaison services (FLS) have been introduced in Japan and several other countries to reduce medical complications and secondary fractures. We aimed to evaluate the effects of the implementation of an FLS approach on patient outcomes during hospitalization at our hospital and over a 2-year follow-up post-injury. This retrospective cohort study included patients ≥ 60 years admitted to our hospital for hip fragility fractures between October 1, 2016, and July 31, 2020. Patient groups were defined as those treated before (control group, n=238) and after (FLS group, n=196) establishment of the FLS protocol at our institution. The two groups were compared in terms of time to surgery, length of hospital stay, and the incidence of complications after admission, including secondary hip fracture and mortality rates. The follow-up period was 24 months. FLS focuses on early surgery within 48 h of injury and assessing osteoporosis treatment before injury to guide post-discharge anti-osteoporosis medication. FLS reduced the length of hospital stay (p<0.001) and the prevalence of complications after admission (p<0.001), particularly cardiovascular disease, and it increased adherence to anti-osteoporosis medication. These FLS effects resulted in lower secondary hip fracture and mortality rates at 12 and 24 months post-injury. FLS for fragility hip fractures can improve patient outcomes during hospitalization and over a 2-year follow-up period.

Effect of Chronic Kidney Disease on All-Cause Mortality After Hip Fracture Surgery: A Retrospective Cohort Study.

In this retrospective cohort study, we investigated: (1) The impact of comorbid chronic kidney disease (CKD) on postoperative mortality in patients with a hip fracture; (2) mortality variations by dialysis type, potentially indicating CKD stage; (3) the efficacy of different hip fracture surgical methods in reducing mortality for patients with CKD. This study included 25,760 patients from the Korean National Health Insurance Service-Senior cohort (2002-2019) who underwent hip fracture surgery. Participants were categorized as CKD and Non-CKD. Mortality rate was determined using a generalized linear model with a Poisson distribution. The effect size was presented as a hazard ratio (HR) through a Cox proportional-hazard model. During follow-up, we ascertained that 978 patients (3.8%) had CKD preoperatively. Compared to the Non-CKD group, the mortality risk (HR) in the CKD group was 2.17 times higher (95% confidence interval [CI], 1.99-2.37). In sensitivity analysis, the mortality risk of in patients who received peritoneal dialysis and hemodialysis was 6.21 (95% CI, 3.90-9.87) and 3.62 times (95% CI, 3.11-4.20) higher than that of patients who received conservative care. Mortality risk varied by surgical method: hip hemiarthroplasty (HR, 2.11; 95% CI, 1.86-2.40), open reduction and internal fixation (HR, 2.21; 95% CI, 1.94-2.51), total hip replacement (HR, 2.27; 95% CI, 1.60-3.24), and closed reduction and percutaneous fixation (HR, 3.08; 95% CI, 1.88-5.06). Older patients with CKD undergoing hip fracture surgery had elevated mortality risk, necessitating comprehensive pre- and postoperative assessments and management.

One-year mortality risk in older individuals with femoral intertrochanteric fracture: a tertiary center in China.

BACKGROUND: The accelerated growth of older individuals worldwide has increased the number of patients presenting with fragility hip fractures. Having a hip fracture can cause excess mortality, and patients with hip fracture have a higher risk of death than those without hip fracture. Most studies have treated hip fracture as a single, homogeneous condition, but hip fracture includes two major anatomic types: intertrochanteric fracture and femoral neck fracture. Few studies have specifically evaluated 1-year mortality risk in older individuals with femoral intertrochanteric fracture. The aim of this study was to evaluate 1-year mortality and factors associated with mortality in older individuals with femoral intertrochanteric fracture. METHODS: A retrospective review was conducted of 563 patients ≥ 65 years old who underwent surgery for femoral intertrochanteric fractures at our institution between January 2010 and August 2018. Patient demographics, comorbidities, and treatment were collected by retrospective chart review. Age, sex, Body Mass Index (BMI), American Society of Anesthesiologists (ASA) classification, Charlson comorbidity index (CCI), Arbeitsgemeinschaft Für Osteosynthesefragen (AO) fracture classification, haemoglobin value at admission, time to surgery, operation time, and intraoperative blood loss were risk factors to be tested. Multivariable logistic regression was used to evaluate associations between variables and death. RESULTS: Among the 563 patients, 49 died within 1 year after surgery, and the 1-year mortality rate was 8.7%. Multivariate analysis identified age > 80 years (OR = 4.038, P = 0.011), haemoglobin < 100 g/l (OR = 2.732, P = 0.002), ASA score ≥ 3 (OR = 2.551, P = 0.005), CCI ≥ 3 (OR = 18.412, P = 0.018) and time to surgery > 14 d (OR = 3.907, P = 0.030) as independent risk factors for 1-year mortality. Comorbidities such as myocardial infarction and chronic pulmonary disease were associated with 1-year mortality after adjusting for age > 80 years and time to surgery > 14 days. CONCLUSIONS: Patients over 80 years old with haemoglobin < 100 g/l, ASA score ≥ 3, CCI ≥ 3, and multiple comorbidities, especially myocardial infarction and chronic pulmonary disease before surgery, are at a higher risk of 1-year mortality. Doctors should pay more attention to these vulnerable patients, and a surgical delay greater than 14 days should be avoided.

Preoperative inflammatory biomarkers reveal renal involvement in postsurgical mortality in hip fracture patients: an exploratory study.

Background: Hip fractures in frail patients result in excess mortality not accounted for by age or comorbidities. The mechanisms behind the high risk of mortality remain undetermined but are hypothesized to be related to the inflammatory status of frail patients. Methods: In a prospective observational exploratory cohort study of hospitalized frail hip fracture patients, 92 inflammatory markers were tested in pre-operative serum samples and markers were tested against 6-month survival post-hip fracture surgery and incidence of acute kidney injury (AKI). After correcting for multiple testing, adjustments for comorbidities and demographics were performed on the statistically significant markers. Results: Of the 92 markers tested, circulating levels of fibroblast growth factor 23 (FGF-23) and interleukin-15 receptor alpha (IL15RA), both involved in renal disease, were significantly correlated with 6-month mortality (27.5% overall) after correcting for multiple testing. The incidence of postoperative AKI (25.4%) was strongly associated with 6-month mortality, odds ratio = 10.57; 95% CI [2.76-40.51], and with both markers plus estimated glomerular filtration rate (eGFR)- cystatin C (CYSC) but not eGFR-CRE. The effect of these markers on mortality was significantly mediated by their effect on postoperative AKI. Conclusion: High postoperative mortality in frail hip fracture patients is highly correlated with preoperative biomarkers of renal function in this pilot study. The effect of preoperative circulating levels of FGF-23, IL15RA, and eGFR-CYSC on 6-month mortality is in part mediated by their effect on postoperative AKI. Creatinine-derived preoperative renal function measures were very poorly correlated with postoperative outcomes in this group.

Association of frailty with adverse outcomes in surgically treated geriatric patients with hip fracture: A meta-analysis and trial sequential analysis.

OBJECTIVE: Some studies have associated frailty and prognostic outcomes in geriatric hip fracture patients, but whether frailty can predict postoperative outcomes remains controversial. This review aims to assess the relationship between frailty and adverse postoperative outcomes in geriatric patients with hip fracture. METHODS: Based on electronic databases, including PubMed, Embase, Web of Science, Cumulative Index to Nursing and Allied Health Literature, the Cochrane Library, Chinese National Knowledge Infrastructure, and WanFang Data, we systematically searched for studies that investigated the association between frailty and adverse outcomes among patients aged 60 or over after hip fracture surgery. Stata 17.0 and Trial Sequential Analysis viewer software were used to obtain pooled estimates and verify whether the sample size was sufficient and the evidence robust. RESULTS: Twenty-one studies involving 49,196 patients were included for quantitative analysis. Compared with nonfrail patients, frail patients had a higher risk of inpatient mortality (risk ratio [RR] = 1.93, 95% confidence interval [CI]: 1.66-2.23), 30-day mortality (RR = 2.13, 95% CI: 1.23-3.70), and 1-year mortality (RR = 2.44, 95% CI: 1.47-4.04). Frailty can significantly predict postoperative complications (RR = 1.76, 95% CI: 1.38-2.23), including delirium, pneumonia, cardiac complications, urinary tract infection, and surgical site infection; the association between frailty and deep venous thrombosis/pulmonary embolism and acute kidney injury needs further analysis. Trial sequential analysis showed that the findings regarding mortality were reliable and robust. CONCLUSION: This meta-analysis provides detailed information indicating that frailty is a substantial predictor of mortality and selected postoperative complications.

Telling the truth to patients before hip fracture surgery.

BACKGROUND: Hip fracture repair surgery carries a certain mortality risk, yet evidence suggests that orthopedic surgeons often refrain from discussing this issue with patients prior to surgery. AIM: This study aims to examine whether orthopedic surgeons raise the issue of one-year post-surgery mortality before hip fracture repair surgery and to explore factors influencing this decision. METHOD: The study employs a cross-sectional design, administering validated digital questionnaires to 150 orthopedic surgeons. RESULTS: A minority of orthopedic surgeons reported always informing patients about the risk of mortality in the year following hip fracture surgery. The main reasons for not discussing this risk were a desire to avoid frightening patients, time constraints, and concerns about undermining patient hope. Orthopedic surgeons reported a medium-high level of perceived self-efficacy, with higher self-efficacy associated with a reduced likelihood of discussing one-year mortality risk. Conversely, older age and holding a specialist status in orthopedic surgery were associated with an increased likelihood of discussing this risk with patients. CONCLUSIONS: These findings suggest a need for interventions to address communication barriers and ensure consistent provision of essential information to patients undergoing hip fracture surgery. Additionally, they highlight the importance of considering individual factors such as self-efficacy, age, and expertise in designing strategies to improve patient-provider communication in orthopedic care settings. TRIAL REGISTRATION: The study doesn`t report the results of a health care intervention.

Should patients with exceptional longevity be treated for osteoporosis after a hip fracture?

BACKGROUND: There are no studies focusing on treatment for osteoporosis in patients with exceptional longevity after suffering a hip fracture. OBJECTIVE: To assess the advisability of initiating treatment for osteoporosis after a hip fracture according to the incidence of new fragility fractures after discharge, risk factors for mortality and long-term survival. DESIGN: Retrospective review. SETTING: A tertiary university hospital serving a population of ~425 000 inhabitants in Barcelona. SUBJECTS: All patients >95 years old admitted with a fragility hip fracture between December 2009 and September 2015 who survived admission were analysed until the present time. METHODS: Pre-fracture ambulation ability and new fragility fractures after discharge were recorded. Risk factors for 1-year and all post-discharge mortality were calculated with multivariate Cox regression. Kaplan-Meier survival curve analyses were performed. RESULTS: One hundred and seventy-five patients were included. Median survival time was 1.32 years [95% confidence interval (CI) 1.065-1.834], with a maximum of 9.2 years. Male sex [hazard ratio (HR) 2.488, 95% CI 1.420-4.358] and worse previous ability to ambulate (HR 2.291, 95% CI 1.417-3.703) were predictors of mortality. After discharge and up to death or the present time, 10 (5.7%) patients had a new fragility fracture, half of them during the first 6 months. CONCLUSIONS: Few new fragility fractures occurred after discharge and half of these took place in the first 6 months. The decision to start treatment of osteoporosis should be individualised, bearing in mind that women and patients with better previous ambulation ability will have a better chance of survival.

Combined nutritional status and activities of daily living disability is associated with one-year mortality after hip fracture surgery for geriatric patients: a retrospective cohort study.

OBJECTIVE: We aimed to explore the association combined nutritional status and activities of daily living disability with all-cause mortality of older adults with hip fracture in the first year after hospitalization. METHODS: This is a single-center retrospective cohort study in older adults with hip fracture patients. Clinical data and laboratory results were collected from electronic medical record system of our hospital (2014-2021). The endpoint of this study was all-cause mortality in the first year after hospitalization. RESULTS: A total of 303 older adults were enrolled and all-cause mortality was 21.8%. The study population was categorized by CONUT score. Patients in CONUT score 5-12 had a higher age, ASA status, CRP and creatinine level, more patients with history of fracture, pneumonia and delirium, meanwhile, lower BMI and ADL score, lower hemoglobin, lymphocyte, total protein, albumin, triglyceride, total cholesterol and one year survival than those in CONUT score 0-4 (all P < 0.05). Multivariable Cox analysis showed that BMI, ADL score and CONUT score were independent risk factors for all-cause mortality of hip fracture in older adults (HR (95% CI):2.808(1.638, 4.814), P < 0.001; 2.862(1.637, 5.003), P < 0.001; 2.322(1.236, 4.359), P = 0.009, respectively). More importantly, the combined index of CONUT and ADL score had the best predictive performance based on ROC curve (AUC 0.785, 95% CI: 0.734-0.830, P < 0.0001). Kaplan-Meier survival curves for all-cause mortality showed that patients with CONUT score increase and ADL score impairment had a higher mortality rate at 1 year compared to CONUT score decrease and ADL score well (Log Rank χ2 = 45.717, P < 0.0001). CONCLUSIONS: Combined CONUT and ADL score is associated with one-year mortality after hip fracture surgery for geriatric patients.

Establishment and validation of an artificial intelligence web application for predicting postoperative in-hospital mortality in patients with hip fracture: a national cohort study of 52 707 cases.

BACKGROUND: In-hospital mortality following hip fractures is a significant concern, and accurate prediction of this outcome is crucial for appropriate clinical management. Nonetheless, there is a lack of effective prediction tools in clinical practice. By utilizing artificial intelligence (AI) and machine learning techniques, this study aims to develop a predictive model that can assist clinicians in identifying geriatric hip fracture patients at a higher risk of in-hospital mortality. METHODS: A total of 52 707 geriatric hip fracture patients treated with surgery from 90 hospitals were included in this study. The primary outcome was postoperative in-hospital mortality. The patients were randomly divided into two groups, with a ratio of 7:3. The majority of patients, assigned to the training cohort, were used to develop the AI models. The remaining patients, assigned to the validation cohort, were used to validate the models. Various machine learning algorithms, including logistic regression (LR), decision tree (DT), naïve bayesian (NB), neural network (NN), eXGBoosting machine (eXGBM), and random forest (RF), were employed for model development. A comprehensive scoring system, incorporating 10 evaluation metrics, was developed to assess the prediction performance, with higher scores indicating superior predictive capability. Based on the best machine learning-based model, an AI application was developed on the Internet. In addition, a comparative testing of prediction performance between doctors and the AI application. FINDINGS: The eXGBM model exhibited the best prediction performance, with an area under the curve (AUC) of 0.908 (95% CI: 0.881-0.932), as well as the highest accuracy (0.820), precision (0.817), specificity (0.814), and F1 score (0.822), and the lowest Brier score (0.120) and log loss (0.374). Additionally, the model showed favorable calibration, with a slope of 0.999 and an intercept of 0.028. According to the scoring system incorporating 10 evaluation metrics, the eXGBM model achieved the highest score (56), followed by the RF model (48) and NN model (41). The LR, DT, and NB models had total scores of 27, 30, and 13, respectively. The AI application has been deployed online at https://in-hospitaldeathinhipfracture-l9vhqo3l55fy8dkdvuskvu.streamlit.app/ , based on the eXGBM model. The comparative testing revealed that the AI application's predictive capabilities significantly outperformed those of the doctors in terms of AUC values (0.908 vs. 0.682, P <0.001). CONCLUSIONS: The eXGBM model demonstrates promising predictive performance in assessing the risk of postoperative in-hospital mortality among geriatric hip fracture patients. The developed AI model serves as a valuable tool to enhance clinical decision-making.