An analysis of the burden of liver cirrhosis: Differences between the global, China, the United States and India.

BACKGROUND: Cirrhosis continues to be the most common cause of chronic liver disease-related deaths globally, which puts significant strain on global health. This report aims to investigate the patterns of cirrhosis in China, the United States, India and worldwide from 1990 to 2019 through an epidemiological analysis of the disease utilizing data from the Global Burden of Disease Study (GBD) 2019 database. METHODS: Download the GBD database's statistics on liver cirrhosis deaths and Disability-Adjusted Life Years for the years 1990-2019 worldwide as well as for China, the United States and India. Utilize techniques like age-period-cohort interaction, decomposition analysis, study of health inequities, Joinpoint model and Bayesian Average Annual Percentage Change model to process the data. RESULTS: The main age group affected by cirrhosis disease, according to the results, is 50-69 years old. According to the Joinpoint model, there has been a negative worldwide Average Annual Percent Change (AAPC) in the burden of cirrhosis between 1990 and 2019. Only the USA's AAPC is positive out of the three nations that were evaluated (albeit its 95% confidence interval spans 0). These are China, India and the United States. Forecasting models indicate that the prevalence of cirrhosis will keep rising in the absence of government action. According to decomposition analysis, the main factors contributing to the rising burden of cirrhosis are population ageing and size, whereas changes in the disease's epidemiology slow the disease's growth. Research on health disparities indicates that, between 1990 and 2019, there was a downward trend in health disparities between various locations. CONCLUSION: Health organizations across different areas should take aggressive measures to address the worrisome prevalence of cirrhosis.

Predictive characteristics and model development for acute heart failure preceding hip fracture surgery in elderly hypertensive patients: a retrospective machine learning approach.

BACKGROUND: Hip fractures are a serious health concern among the elderly, particularly in patients with hypertension, where the incidence of acute heart failure preoperatively is high, significantly affecting surgical outcomes and prognosis. This study aims to assess the risk of preoperative acute heart failure in elderly patients with hypertension and hip fractures by constructing a predictive model using machine learning on potential risk factors. METHODS: A retrospective study design was employed, collecting preoperative data from January 2018 to December 2019 of elderly hypertensive patients with hip fractures at the Third Hospital of Hebei Medical University. Using SPSS 24.0 and R software, predictive models were established through LASSO regression and multivariable logistic regression analysis. The models' predictive performance was evaluated using metrics such as the concordance index (C-index), receiver operating characteristic curve (ROC curve), and decision curve analysis (DCA), providing insights into the nomogram's predictive accuracy and clinical utility. RESULTS: Out of 1038 patients screened, factors such as gender, age, history of stroke, arrhythmias, anemia, and complications were identified as independent risk factors for preoperative acute heart failure in the study population. Notable predictors included Sex (OR 0.463, 95% CI 0.299-0.7184, P = 0.001), Age (OR 1.737, 95% CI 1.213-2.488, P = 0.003), Stroke (OR 1.627, 95% CI 1.137-2.327, P = 0.008), Arrhythmia (OR 2.727, 95% CI 1.490-4.990, P = 0.001), Complications (OR 2.733, 95% CI 1.850-4.036, P < 0.001), and Anemia (OR 3.258, 95% CI 2.180-4.867, P < 0.001). The prediction model of acute heart failure was Logit(P) = -2.091-0.770 × Sex + 0.552 × Age + 0.487 × Stroke + 1.003 × Arrhythmia + 1.005 × Complications + 1.181 × Anemia, and the prediction model nomogram was established. The model's AUC was 0.785 (95% CI, 0.754-0.815), Decision curve analysis (DCA) further validated the nomogram's excellent performance, identifying an optimal cutoff value probability range of 3% to 58% for predicting preoperative acute heart failure in elderly patients with hypertension and hip fractures. CONCLUSION: The predictive model developed in this study is highly accurate and serves as a powerful tool for the clinical assessment of the risk of preoperative acute heart failure in elderly hypertensive patients with hip fractures, aiding in the optimization of preoperative risk assessment and patient management.

Propensity score matching analysis of early vs. delayed surgery for intertrochanteric fracture in older patients: a retrospective multicenter cohort study of 7414 patients with a mean 4-year follow up.

BACKGROUND: The widespread acceptance of early surgery as a treatment for acute intertrochanteric fracture (ITF) has been accompanied by ongoing controversy due to conflicting conclusions presented in previous studies. This study aims to compare the occurrence of perioperative complications and mortality, as well as functional outcomes in older patients with ITF who underwent either early or delayed surgery. METHODS: A retrospective multicenter cohort study involving 7414 patients with ITF between Jan. 2017 and Dec. 2021 was conducted. After predefined participants selection inclusion and exclusion criteria, 2323 surgically treated ITF patients were included and analyzed utilizing propensity score matching (PSM) method. Their demographics, injury-related data, surgery-related data, and perioperative adverse outcomes during hospitalization were collected and compared between the early or delayed surgery groups by PSM with a 1:4 ratio. All participants received a minimum of two-year follow-up and perioperative outcomes, functional outcomes, and survival analyses were conducted and compared. RESULTS: After adjustment for potential confounders, there were no significant difference in surgery duration, intraoperative blood loss, transfusion rate, mortality rates, functional outcomes, and perioperative complications rates including severe complications, cardiac complications, pulmonary complications, and neurological complications regardless of whether the patient was treated with early or delayed surgery (all P > 0.05). Although length of hospital stay (mean, 11.5 versus 14.4 days, P < 0.001), total hospital costs (mean, 39305 versus 42048 yuan, P < 0.001), and minor complications rates including hematological complications (31.7% versus 41.2%, P = 0.007) and nutritional/metabolic complications (59.3% versus 66.4%, P = 0.039) were lower in the early surgery group, our result indicated patients with early surgery were more inclined to receive more blood transfusion (mean, 2.8 versus 2.2 units, P = 0.004). CONCLUSIONS: Our findings suggest that a 48-hour delay in surgical intervention for older patients with an ITF does not result in a higher mortality rate, worse functional outcomes, and increased incidence of major perioperative complications when compared to early surgery. While expedited surgery is undoubtedly necessary for suitable patients, a reasonable preoperative delay of 48 h may be justified and safe for those with severe conditions, rather than strictly adhering to the current guidelines.

Normal spinopelvic parameters and correlation analysis in 217 asymptomatic children.

BACKGROUND: Understanding spinal sagittal balance is crucial for assessing and treating spinal deformities in pediatric populations. OBJECTIVE: The aim of the present observational study is to examine the parameters of sagittal alignment of the regional spine and spinopelvic region in asymptomatic pediatric populations and the characteristics of these parameters with age and sex. METHODS: We enrolled 217 participants, consisting of 112 males (51.6%) and 105 females (48.4%), aged between 4 and 15 years, with an average age of 12.19 years. Pelvic incidence, pelvic tilt, sacral slope, lumbar lordosis, thoracic kyphosis, T1 slope, C7 slope, cervical sagittal vertical axis, and C2-7 Cobb angle were measured. Three spine surgeons conducted radiographic measurements utilizing the PACS software. The measurement reliability was assessed through ICCs. RESULTS: Our results show significant age-related changes in pelvic tilt and cervical sagittal vertical axis, with notable gender differences in pelvic tilt, lumbar lordosis, and thoracic kyphosis. Girls have larger PT, boys have larger cSVA. PI, PT, and cSVA also differ among different age groups. Correlation analysis shows that a series of relationships that align with adult population patterns between pelvic incidence, pelvic tilt, sacral slope, lumbar lordosis, and thoracic kyphosis. CONCLUSION: Significant variations in PT and cSVA across diverse age cohorts highlights notable disparities in the distribution of PT and cSVA values within the pediatric population. Gender-based differences in PT, LL, and TK and correlation in spinopelvic parameter could enhances our understanding of compensatory mechanisms.

Risk factors and prognosis of perioperative acute heart failure in elderly patients with hip fracture: case-control studies and cohort study.

BACKGROUND: Elderly patients with hip fracture who develop perioperative acute heart failure (AHF) have a poor prognosis. The aim of the present study is to investigate the potential risks of AHF in elderly hip-fracture patients in the postoperative period and to evaluate the prognostic significance of AHF. METHODS: A retrospective analysis was conducted on hip fracture patients at the Third Hospital of Hebei Medical University, who were continuously in hospital from September 2018 to August 2020. To identify independent risk factors for AHF in elderly patients with hip fracture, univariate and multivariate Logistic regression analysis was employed. The Kaplan-Meier survival curve illustrated the relationship between all-cause mortality in the AHF and non-AHF groups. An assessment of the correlation between baseline factors and all-cause mortality was conducted by means of univariable and multivariable Cox proportional hazards analysis. RESULTS: We eventually recruited 492 patients,318 of whom were in the AHF group. Statistical significance was found between the two groups for age group, concomitant coronary heart disease, COPD, haemoglobin level below 100 g/L on admission, albumin level below 40 g/L on admission, and increased intraoperative blood loss. Age over 75, concomitant coronary artery disease, hemoglobin level below 100 g/L and albumin level below 40 g/L on admission were independent risk factors for AHF in older hip fracture patients. The AHF group exhibited a higher incidence of perioperative complications, such as anemia, cardiovascular issues, and stress hyperglycemia, as well as all-cause mortality. Based on our COX regression analysis, we have identified that the main risk factors for all-cause mortality in AHF patients are concomitant coronary heart disease, absence of pulmonary infection, absence of diabetes, absence of cancer, and absence of urinary tract infection. CONCLUSION: Enhancing hip fracture prevention for AHF is particularly important. It is crucial to make informed decisions to avoid poor prognoses. Patients whose age over 75 years old, concomitant coronary heart disease, hemoglobin < 100 g/L and album< 40 g/L on admission are more likely to develop perioperative AHF. To avert complications and potential fatalities, patients with AHF must receive appropriate care during the perioperative period.

Developing a prediction model for preoperative acute heart failure in elderly hip fracture patients: a retrospective analysis.

BACKGROUND: Hip fractures in the elderly are a common traumatic injury. Due to factors such as age and underlying diseases, these patients exhibit a high incidence of acute heart failure prior to surgery, severely impacting surgical outcomes and prognosis. OBJECTIVE: This study aims to explore the potential risk factors for acute heart failure before surgery in elderly patients with hip fractures and to establish an effective clinical prediction model. METHODS: This study employed a retrospective cohort study design and collected baseline and preoperative variables of elderly patients with hip fractures. Strict inclusion and exclusion criteria were adopted to ensure sample consistency. Statistical analyses were carried out using SPSS 24.0 and R software. A prediction model was developed using least absolute shrinkage and selection operator (LASSO) regression and multivariate logistic regression. The accuracy of the model was evaluated by analyzing the area under the receiver operating characteristic (ROC) curve (AUC) and a calibration curve was plotted to assess the model's calibration. RESULTS: Between 2018 and 2019, 1962 elderly fracture patients were included in the study. After filtering, 1273 were analyzed. Approximately 25.7% of the patients experienced acute heart failure preoperatively. Through LASSO and logistic regression analyses, predictors for preoperative acute heart failure in elderly patients with hip fractures were identified as Gender was male (OR = 0.529, 95% CI: 0.381-0.734, P < 0.001), Age (OR = 1.760, 95% CI: 1.251-2.479, P = 0.001), Coronary Heart Disease (OR = 1.977, 95% CI: 1.454-2.687, P < 0.001), Chronic Obstructive Pulmonary Disease (COPD) (OR = 2.484, 95% CI: 1.154-5.346, P = 0.020), Complications (OR = 1.516, 95% CI: 1.033-2.226, P = 0.033), Anemia (OR = 2.668, 95% CI: 1.850-3.847, P < 0.001), and Hypoalbuminemia (OR 2.442, 95% CI: 1.682-3.544, P < 0.001). The linear prediction model of acute heart failure was Logit(P) = -2.167-0.637×partial regression coefficient for Gender was male + 0.566×partial regression coefficient for Age + 0.682×partial regression coefficient for Coronary heart disease + 0.910×partial regression coefficient for COPD + 0.416×partial regression coefficient for Complications + 0.981×partial regression coefficient for Anemia + 0.893×partial regression coefficient for Hypoalbuminemia, and the nomogram prediction model was established. The AUC of the predictive model was 0.763, indicating good predictive performance. Decision curve analysis revealed that the prediction model offers the greatest net benefit when the threshold probability ranges from 4 to 62%. CONCLUSION: The prediction model we developed exhibits excellent accuracy in predicting the onset of acute heart failure preoperatively in elderly patients with hip fractures. It could potentially serve as an effective and useful clinical tool for physicians in conducting clinical assessments and individualized treatments.

Establishment and pathophysiological evaluation of a novel model of acute compartment syndrome in rats.

BACKGROUND: Researches have used intra-compartmental infusion and ballon tourniquest to create high intra-compartmental pressure in animal models of Acute Compartment Syndrome (ACS). However, due to the large differences in the modeling methods and the evaluation criteria of ACS, further researches of its pathophysiology and pathogenesis are hindered. Currently, there is no ideal animal model for ACS and this study aimed to establish a reproducible, clinically relevant animal model. METHODS: Blunt trauma and fracture were caused by the free falling of weights (0.5 kg, 1 kg, 2 kg) from a height of 40 cm onto the lower legs of rats, and the application of pressures of 100 mmHg, 200 mmHg, 300 mmHg and 400 mmHg to the lower limbs of rats using a modified pressurizing device for 6 h. The intra-compartmental pressure (ICP) and the pressure change (ΔP) of rats with single and combined injury were continuously recorded, and the pathophysiology of the rats was assessed based on serum biochemistry, histological and hemodynamic changes. RESULTS: The ΔP caused by single injury method of different weights falling onto the lower leg did not meet the diagnosis criteria for ACS (< 30 mmHg). On the other hand, a combined injury method of a falling weight of 1.0 kg and the use of a pressurizing device with pressure of 300 mmHg or 400 mmHg for 6 h resulted in the desired ACS diagnosis criteria with a ΔP value of less than 30 mmHg. The serum analytes, histological damage score, and fibrosis level of the combined injury group were significantly increased compared with control group, while the blood flow was significantly decreased compared with control group. CONCLUSION: We successfully established a new preclinical ACS-like rat model, by the compression of the lower leg of rats with 300 mmHg pressure for 6 h and blunt trauma by 1.0 kg weight falling.

Anterior peri-sacroiliac joint osteotomy in the treatment of malunion and nonunion of complex pelvic ring fracture: techniques and preliminary results.

PURPOSE: To introduce anterior peri-sacroiliac joint osteotomy (APSJO) through the lateral-rectus approach (LRA) for treating pelvic fracture malunion and nonunion, and to evaluate the safety, feasibility, and potential effectiveness. METHODS: Data of 15 patients with pelvic fracture malunion and nonunion who underwent treatment by APSJO were selected and analyzed. The reduction quality was assessed using the Mears and Velyvis criteria, while the pre-operative and post-operative function was revealed by the Majeed scoring system. The British Medical Research Council (BMRC) grading system was recruited for the evaluation of lumbosacral plexus function. RESULTS: The average operative duration was 264.00 ± 86.75 min, while the intra-operative blood loss was 2000 (600, 3000) mL. Anatomical reduction was complete in three cases, satisfactory in ten cases, and unsatisfactory in two cases. Among the seven patients with lumbosacral plexus injury, the pre-operative Majeed grades were good in two cases, fair in two cases, and poor in three cases, while the post-operative Majeed grades were excellent in three cases, good in three cases, and fair in one case. Muscle strength recovered to M5 in two cases, M4 in three cases, and showed no recovery in two cases. The pre-operative Majeed grades were good in five cases, fair in two cases, and poor in one case of the series without lumbosacral plexus injury, while the post-operative Majeed grades were excellent in seven cases and good in one case. CONCLUSION: APSJO through LRA may be a feasible strategy for treating pelvic fracture malunion and nonunion with promising application.

Effect of different lumbar-iliac fixation and sacral slope for Tile C1.3 pelvic fractures: a biomechanical study.

BACKGROUND: Lumbar-iliac fixation (LIF) is a common treatment for Tile C1.3 pelvic fractures, but different techniques, including L4-L5/L5 unilateral LIF (L4-L5/L5 ULIF), bilateral LIF (BLIF), and L4-L5/L5 triangular osteosynthesis (L4-L5/L5 TOS), still lack biomechanical evaluation. The sacral slope (SS) is key to the vertical shear of the sacrum but has not been investigated for its biomechanical role in lumbar-iliac fixation. The aim of this study is to evaluate the biomechanical effects of different LIF and SS on Tile C1.3 pelvic fracture under two-legged standing load in human cadavers. METHODS: Eight male fresh-frozen human lumbar-pelvic specimens were used in this study. Compressive force of 500 N was applied to the L4 vertebrae in the two-legged standing position of the pelvis. The Tile C1.3 pelvic fracture was prepared, and the posterior pelvic ring was fixed with L5 ULIF, L4-L5 ULIF, L5 TOS, L4-L5 TOS, and L4-L5 BLIF, respectively. Displacement and rotation of the anterior S1 foramen at 30° and 40° sacral slope (SS) were analyzed. RESULTS: The displacement of L4-L5/L5 TOS in the left-right and vertical direction, total displacement, and rotation in lateral bending decreased significantly, which is more pronounced at 40° SS. The difference in stability between L4-L5 and L5 ULIF was not significant. BLIF significantly limited left-right displacement. The ULIF vertical displacement at 40° SS was significantly higher than that at 30° SS. CONCLUSIONS: This study developed an in vitro two-legged standing pelvic model and demonstrated that TOS enhanced pelvic stability in the coronal plane and cephalad-caudal direction, and BLIF enhanced stability in the left-right direction. L4-L5 ULIF did not further improve the immediate stability, whereas TOS is required to increase the vertical stability at greater SS.

Characteristics of preoperative atrial fibrillation in geriatric patients with hip fracture and construction of a clinical prediction model: a retrospective cohort study.

INTRODUCTION: Atrial fibrillation is the most common atrial arrhythmia in the perioperative period and is associated with prolonged hospital stay, increased costs, and increased mortality. However, there are few data on the predictors and incidence of preoperative atrial fibrillation in hip fracture patients. Our aim was to identify predictors of preoperative atrial fibrillation and to propose a valid clinical prediction model. METHODS: Predictor variables included demographic and clinical variables. LASSO regression analyzes were performed to identify predictors of preoperative atrial fibrillation, and models were constructed and presented as nomograms. Area under the curve, calibration curve, and decision curve analysis (DCA) were used to examine the discriminative power, calibration, and clinical efficacy of the predictive models. Bootstrapping was used for validation. RESULTS: A total of 1415 elderly patients with hip fractures were analyzed. Overall, 7.1% of patients had preoperative atrial fibrillation, and they were at significant risk for thromboembolic events. Patients with preoperative AF had a significantly longer delay in surgery than those without preoperative atrial fibrillation (p < 0.05). Predictors for preoperative atrial fibrillation were hypertension (OR 1.784, 95% CI 1.136-2.802, p < 0.05), C-reactive protein at admission (OR 1.329, 95% CI 1.048-1.662, p < 0.05), systemic inflammatory response index at admission (OR 2.137, 95% CI, 1.678-2.721 p < 0.05), Age-Adjusted Charlson Comorbidity Index (OR 1.542, 95% CI 1.326-1.794, p < 0.05), low potassium(OR 2.538, 95% CI 1.623-3.968, p < 0.05), anemia(OR 1.542, 95% CI 1.326-1.794, p < 0.05). Good discrimination and calibration effect of the model was showed. Interval validation could still achieve the C-index value of 0.799. DCA demonstrated this nomogram has good clinical utility. CONCLUSION: This model has a good predictive effect on preoperative atrial fibrillation in elderly patients with hip fractures, which can help to better plan clinical evaluation.

Predictors for post-traumatic hip osteoarthritis in patients with transverse acetabular fractures following open reduction internal fixation: a minimum of 2 years' follow-up multicenter study.

BACKGROUND: The predictors of post-traumatic osteoarthritis (PTOA) in patients with transverse acetabular fractures (TAFs) following open reduction internal fixation (ORIF) remain unclear. This study aimed to investigate the risk factors for PTOA in TAFs after ORIF. METHODS: Data of TAF patients receiving ORIF were collected from January 2012 and February 2021. Patients suffered PTOA were classified as the osteoarthritis group (OG), while those without PTOA were classified as the non- osteoarthritis group (NG) with a minimum follow-up of 2 years. PTOA was diagnosed according to Tönnis OA classification during the period of follow-up. Univariate analysis, logistic regression analysis, and receiver operating characteristic (ROC) curve analyses were used to evaluate demographics, injury-related characteristics, perioperative and post-discharge information. RESULTS: Three hundred and eleven TAF patients were analyzed in this study, including 261 males and 50 females, with a mean age of 40.4 years (range 18 to 64 years). The incidence of PTOA was 29.6% (92 of 311) during the mean follow-up of 36.8 months (range 24 to 70 months). Several factors of PTOA were found using univariate analysis, including transverse fracture associated with posterior wall acetabular fracture (TPW-AF, p = 0.002), acetabular roof fracture (ARF, p = 0.001), femoral head lesion (FHL, p = 0.016), longer time from injury to surgery (TIS, p＜0.001) and physical work after surgery (PWAS, p＜0.001). Logistic regression analysis showed that TPW-AF (p = 0.007, OR = 2.610, 95%CI: 1.302-5.232), ARF (p = 0.001, OR = 2.887, 95%CI: 1.512-5.512), FHL (p = 0.005, OR = 2.302, 95%CI: 1.283-4.131), TIS (p<0.0001, OR = 1.294, 95%CI: 1.192-1.405) and PWAS (p<0.0001, 3.198, 95%CI: 1.765-5.797) were independent risk factors of PTOA. Furthermore, ROC curve analysis indicated 11.5 days as the cut-off values to predict PTOA. CONCLUSIONS: Our findings identified that TPW-AF, ARF, FHL, TIS and PWAS were independent risk factors for PTOA in patients with TAFs following ORIF. It can help orthopedic surgeons to take early individualized interventions to reduce its incidence.

Development and validation of a nomogram for predicting deep venous thrombosis in patients with pelvic and acetabular fractures: a retrospective cohort study : Predictive model for pelvic/acetabular fractures.

PURPOSE: To construct a novel nomogram model that can predict DVT and avoid unnecessary examination. METHODS: Patients admitted to the hospital with pelvis/acetabular fractures were included between July 2014 and July 2018. The potential predictors associated with DVT were analyzed using Univariate and multivariable logistic regression analysis. The predictive nomogram was constructed and internally validated. RESULTS: 230 patients were finally enrolled. There were 149 individuals in the non-DVT group and 81 in the DVT group. Following analysis, we obtained the final nomogram model. The risk factors included age (OR, 1.037; 95% CI, 1.013-1.062; P = 0.002), body mass index (BMI) (OR, 1.253; 95% CI, 1.120-1.403; P < 0.001); instant application of anticoagulant after admission (IAA) (OR, 2.734; 95% CI, 0.847-8.829; P = 0.093), hemoglobin (HGB) (OR, 0.970; 95% CI, 0.954-0.986; P < 0.001), D-Dimer(OR, 1.154; 95% CI, 1.016-1.310; P = 0.027) and fibrinogen (FIB) (OR, 1.286; 95% CI, 1.024-1.616; P = 0.002). The apparent C-statistic was 0.811, and the adjusted C-statistic was 0.777 after internal validations, demonstrating good discrimination. Hosmer and Lemeshow's goodness of fit (GOF) test of the predictive model showed a good calibration for the probability of prediction and observation (χ2 = 3.285, P = 0.915; P > 0.05). The decision curve analysis (DCA) and Clinical impact plot (CIC) demonstrated superior clinical use of the nomogram. CONCLUSIONS: An easy-to-calculate nomogram model for predicting DVT in patients with pelvic-acetabular fractures were developed. It could help clinicians to reduce DVT and avoid unnecessary examinations.

Predictors of acute compartment syndrome in patients with tibial fractures: a meta-analysis.

STUDY DESIGN: This is the first meta-analysis focusing on the risk factors related to ACS after tibial fractures. BACKGROUND: Acute compartment syndrome (ACS) is a serious complication that affects 2-9% of tibial fracture patients. It is importance of identifying the predictors of ACS in patients with tibial fractures. QUESTIONS/PURPOSES: We performed a meta-analysis to identify the risk factors of ACS after tibial fracture. METHODS: We searched articles in the English databases, such as PubMed, Embase, and the Cochrane Library and the Chinese databases including CNKI and WAN FANG. We collected data related to ACS from included studies and analyzed data by RevMan 5.3 and STATA 12.0. RESULTS: The rate of ACS was 2.7% (10,708 of 398,414 patients) from 16 included articles. Our data showed that younger age (p < 0.00001, OR = - 7.93, 95% CI [- 9.34, - 6.25]), male patients (p < 0.00001, OR = 2.17, 95% CI [2.07, 2.28]), patients without a history of hypertension (p < 0.00001, OR = 0.69, 95% CI [0.64, 0.74]), with a history of smoking (p < 0.00001, OR = 1.38, 95% CI [1.30, 1.46]), and patients with fibular fractures (p = 0.001, OR = 2.68, 95% CI [1.47, 4.87]), closed fracture (p = 0.02, OR = 0.86, 95% CI [0.75, 0.98]), high-energy injury (p = 0.003, OR = 0.37, 95% CI [0.19, 0.71]), motorized accident (p = 0.0009, OR = 0.41, 95% CI [0.24, 0.69]), proximal fracture, AO-C-type fracture, comminuted fracture, and Schatzker grade IV-VI fracture were associated with the development of ACS. Additionally, femoral displacement ratio and tibial widening ratio in the ACS groups were significantly higher than in the non-ACS group. CONCLUSION: Many factors were found to be associated with the development of ACS following tibial fractures. We provide references when we met the above characteristics of patients to rapidly identify and highly concern ACS.

Predictors of muscle necrosis in patients with acute compartment syndrome.

PURPOSE: The predictors of muscle necrosis after acute compartment syndrome (ACS) remain debated. This study aimed to investigate the predictors for muscle necrosis in ACS patients. METHODS: We collected data on ACS patients following fractures from January 2010 to November 2022. Patients were divided into the muscle necrosis group (MG) and the non-muscle necrosis group (NG). The demographics, comorbidities, and admission laboratory indicators were computed by univariate analysis, logistic regression analysis, and receiver-operating characteristic (ROC) curve analysis. RESULTS: In our study, the rate of MN was 37.6% (83 of 221). Univariate analysis showed that numerous factors were associated with muscle necrosis following ACS. Logistic regression analysis indicated that crush injury (p = 0.007), neutrophil (NEU, p = 0.001), creatine kinase myocardial band (CKMB, p = 0.047), and prothrombin time (PT, p = 0.031) were risk factors. Additionally, ROC curve analysis identified 11.415 109/L, 116.825 U/L, and 12.51 s as the cut-off values for NEU, CKMB, and PT to predict muscle necrosis, respectively. Furthermore, the combination of NEU, CKMB, and PT had the highest diagnostic accuracy. CONCLUSIONS: Our findings showed that crush injury and the level of NEU, CKMB, and PT were risk factors for muscle necrosis after ACS. Additionally, we also identified the cut-off values of NEU, CKMB, and PT and found the combination of crush injury, PT, and NEU with the highest diagnostic accuracy, helping us individualize the assessment risk of muscle necrosis to manage early targeted interventions.

Proximal femoral bionic nail (PFBN)-an innovative surgical method for unstable femoral intertrochanteric fractures.

PURPOSE: Intertrochanteric femoral fractures (IFF) are one of the most common traumatic conditions, but there are no established treatment methods for this condition due to implant failure and re-operation rates. The proximal femoral bionic nail (PFBN), which is a new design of the cephalomedullary nail, was developed by our team. The objective of this study was to assess the clinical and radiographic outcomes of PFBN in patients with unstable IFF. METHODS: From October 2020 to August 2021, 12 patients diagnosed with unstable IFF (31-A2, 3) were treated with PFBN at the Third Hospital of Hebei Medical University. We evaluated the clinical therapeutic effects of this treatment by measuring peri-operative indicators and post-operative complications. Clinical outcomes, specific radiographic parameters, and post-operative complications were collected and analyzed within the first post-operative year. RESULTS: The average age of the patients was 72.4 ± 16.1 years (five males and seven females). The mean operation time was 90.4 ± 16.0 min, whereas the operation time of 31-A2 fractures (83.1 ± 12.2 min) was shorter than that of 31-A3 fractures (105.0 ± 12.9 min) (p < 0.05). The blood loss was 175 ml (range: 50 to 500 ml), and the length of hospitalization was 10.0 ± 1.9 days. The prognosis evaluation was assessed at three, six and 12 months after the operation; for these time points, the Harris hip scores were 69.6 ± 4.1, 77.8 ± 3.8, and 82.6 ± 4.6, respectively, and the Parker-Palmer scores were 5.3 (5.0, 7.0), 6.3 (5.3, 7.0), and 7.8 (7.0, 8.0), respectively. CONCLUSION: PFBN has shown advantages in the treatment of unstable IFF (particularly in geriatric patients) and possesses both stability and safety. This innovative method may provide a new option for treating unstable IFFs.

Influence of Postoperative Serum Inflammatory Factors, Stress Indicators, Urination Function, Sexual Function and Clinical Efficacy of Laparoscopic Pelvic Floor Reconstruction without Mesh Implantation in the Treatment of Pelvic Organ Prolapse.

Pelvic organ prolapse is seriously harmful to women's health and daily activities, and the incidence rate increases with age, which is more common among middle-aged and elderly women. Common treatment schemes are prone to relapse or complications. The purpose of this article was to study the clinical effect of laparoscopic pelvic floor reconstruction without mesh implantation in the treatment of pelvic organ prolapse and the influence of postoperative serum inflammatory factors, stress indicators, urination function and sexual function. The clinical curative effect of the operation plan was evaluated by the determination of POP-Q value and objective cure rate. The enzyme-linked immunosorbent assay determined the serum inflammatory factors and stress indexes before and after the operation. Urination function was detected by a urodynamics detector, and sexual function was investigated by a PISQ-12 questionnaire. The results show that laparoscopic pelvic floor reconstruction without mesh implantation has good clinical efficacy in the treatment of pelvic organ prolapse, with less stimulation to patients and less inflammation. After the operation, the patient's maximum urine flow rate exceeded 18mL/s, the sexual function score exceeded 45 points, and the urination function and sexual function were effectively improved.

Is There a "Weekend Effect" in Intertrochanteric Fracture Surgery?

INTRODUCTION: Numerous studies reported poorer outcomes for patients who were admitted at weekends or off-hour, which relates to the underlying concept called the "weekend effect." We aimed to assess the effect of adverse outcomes in older patients with intertrochanteric fracture surgery. METHODS: A retrospective cohort study of patients aged ≥65 years with intertrochanteric fracture surgery. Data were collected from computerized medical records and all patients had a long-term follow-up. The association between weekend effect with adverse outcomes and factors for all-cause mortality was studied by 3-group comparison, Spearman and partial correlation analysis, univariate analysis, and multivariate Cox proportional-hazard model. RESULTS: Our results showed no evidence supporting the existence of a weekend effect on adverse outcomes, including mortality rates (p = 0.950, log-rank), length of hospital stay, total hospital costs, rate and volume of transfusion, visual analog scale score, Harris Hip Score, and specific complications (all p > 0.05), except for an average of 0.5 days longer surgical delay found in patients admitted on Fridays relative to other days (p = 0.013). Instead, only age group (with a 10-year interval, HR 1.43, 1.28-1.59 95% CI, p < 0.001) and surgical delay (HR 1.05, 1.02-1.07 95% CI, p < 0.001) were identified as significantly associated with all-cause mortality. CONCLUSIONS: Older patients with intertrochanteric fracture surgery have similar mortality and adverse outcomes rates when admitted on weekends or holidays compared with weekdays. Our findings suggest that collaborative multidisciplinary team care seems both effective and efficient in the management of older patients with intertrochanteric fractures on any day of the week.

Discriminative Ability for Adverse Outcomes After Hip Fracture Surgery: A Comparison of Three Commonly Used Comorbidity-Based Indices.

INTRODUCTION: Preoperative risk assessment can predict adverse outcomes following hip fracture surgery, helping with decision-making and management strategies. Several risk adjustment models based on coded comorbidities such as Charlson Comorbidity Index (CCI), modified Elixhauser's Comorbidity Measure (mECM), and modified frailty index (mFI-5) are currently prevalent for orthopedic patients, but there is no consensus regarding which is optimal. The primary purpose was to identify the risk factors of CCI, mECM, and mFI-5, as well as patient characteristics for predicting (1) 1-month, 3-month, 1-year, and 2-year mortality, (2) perioperative complications, and (3) extended length of stay (LOS) following hip fractured surgery. The secondary aim was to compare the best-performing comorbidity index combined with characteristics identified in terms of their discriminative ability for adverse outcomes. METHODS: We retrospectively reviewed 3,379 consecutive patients presenting with intertrochanteric fractures at our Level I trauma center from 2013 to 2018. After eliminated by exclusion criteria, 2,241 patients undergoing hip fracture surgery by PFNA, with age ≥65 years, were included. Three main multivariate logistic regression models were constructed. Cox proportional hazards models were used to calculate hazard ratios for mortality. A base model included age, BMI, surgical delay, anesthesia type, hemoglobin record at admission, and American Society of Anesthesiologists grade (ASA) also was constructed and assessed. RESULTS: Base model + mECM outperformed other models for the occurrence of major complications including severe complications, cardiac complications, and pulmonary complications [the area under the receiver operating characteristic curve (AUC), 0.647; 95% CI, 0.616-0.677; AUC, 0.637; 95% CI, 0.610-0.664; AUC, 0.679; 95% CI, 0.642-0.715, respectively], while base model + CCI provided better prediction of minor complications of neurological complications and hematological complications (AUC, 0.659; 95% CI, 0.609, 0.709; AUC, 0.658; 95% CI, 0.635, 0.680). In addition, BMI, surgical delay, anesthesia type, and ASA were found highly relevant to extended LOS. Age-group (with a 10-year interval) was indicated to be mostly associated with all-cause mortality with fully adjusted hazard ratio of 1.35 and 95% CI range 1.20-1.51. CONCLUSIONS: In comparison with mFI-5 and CCI, mECM so far may be the best comorbidity index combined with the base model for predicting major complications following hip fracture. The base model already achieved good discrimination for all-cause mortality and extended LOS, further addition of risk adjustment indices led to only 1% increase in the amount of variation explained.

Application of integrated management bundle incorporating with multidisciplinary measures improved in-hospital outcomes and early survival in geriatric hip fracture patients with perioperative heart failure: a retrospective cohort study.

BACKGROUND: In elderly, hip fracture is often complicated by perioperative heart failure, related to worse prognosis. We aimed to analyze the effects of integrated management bundle incorporating with multidisciplinary measures on in-hospital outcomes and early survival in elderly hip fracture patients with perioperative heart failure. METHODS: In this retrospective cohort study, a total of 421 hip fracture patients aged 65 and over who developed perioperative heart failure were included. According to different perioperative management modes applied, patients were retrospectively divided into multidisciplinary management group (Group A), including 277 patients, and integrated management bundle group (Group B), including 144 patients. The B-type natriuretic peptide (BNP) and C-reactive protein (CRP) levels, complications, length of stay, and hospitalization costs were observed and compared between two groups. Overall survival was compared by Kaplan-Meier methods. Cox regression analysis was used to identify prognostic factors associated with overall survival. RESULTS: A total of 421 patients were enrolled for analysis, including 277 in Group A and 144 in Group B. BNP and CRP levels were significantly decreased compared with admission (P < 0.05). Furthermore, BNP and CRP in Group B decreased much more than those in Group A (P < 0.05). The reductions were observed in length of stay, hospitalization costs and incidence of pulmonary infection, hypoproteinemia, and acute cerebral infarction in Group B (all P < 0.05). The Kaplan-Meier plots showed significantly superior overall survival in Group B. Integrated management bundle was independent favorable prognostic factors. CONCLUSIONS: The integrated management bundle incorporating with multidisciplinary measures significantly improved the therapeutic effect of perioperative heart failure, reduced inflammatory response, and yielded better hospital outcomes. It brought better survival benefits for geriatric hip fracture patients with perioperative heart failure. The results of this study can play an important role in clinical work and provide a valuable theoretical basis for selection of management model in elderly hip fracture patients with perioperative heart failure.

Incidence and risk factors associated with surgical site infection after surgically treated hip fractures in older adults: a retrospective cohort study.

BACKGROUND: Surgical site infection (SSI) is one of the most common complications in the traumatic orthopedics field, but remains not adequately studied after hip fractures. AIMS: This study aims to investigate the incidence and risk factors associated with SSI after surgically treated hip fractures in older adults. METHODS: A retrospective cohort study including 2932 older adult patients (1416 with femoral neck fracture and 1516 with intertrochanteric fracture) surgically treated from Jan 2015 to Dec 2019 due to hip fractures was performed. Their data on demographics, injury-related data, surgery-related data, and preoperative laboratory test results were collected from hospitalization medical records. Univariate analyses were used to compare between the patients with and without SSI, and multivariate logistic regression analyses were used to identify the risk factors. RESULTS: A total of 89 patients developed SSI, with an accumulated incidence rate of 3.04% (95%CI 2.41-3.66). Staphylococcus aureus was the most common source of infection. In univariate analysis, 11 items were found to be significant in femoral neck fractures and 5 items were found to be significant in intertrochanteric fracture. In the multivariable logistic regression model, cerebrovascular disease (OR 2.17, 95%CI 1.14-4.15) and hematocrit (HCT) (< Lower limit) (OR 3.46, 95%CI 1.13-10.56) were independent risk factors for SSI in femoral neck fracture. Heart disease (OR 2.13, 95%CI 1.18-3.85) was a risk factor for SSI, while LDH (> 250 U/L) (OR 0.44, 95%CI 0.20-0.95) was a protective factor for SSI in intertrochanteric fracture. DISCUSSION: We observed 89 cases (3.04%) of SSI in 2932 older adult patients with hip fractures in this study. Cerebrovascular disease and lower HCT were two independent risk factors for SSI in femoral neck fracture, whereas heart disease was a risk factor and LDH was a protective factor for SSI in intertrochanteric fracture. CONCLUSIONS: Targeted preoperative management, such as predicting the probability of SSI and taking appropriate measures accordingly is essential and highly regarded. Future multicentric studies with more patients evaluated are expected to better address the risk factors for SSI in older hip fracture patients.