BACKGROUND:Osteoarthritis (OA) and obstructive sleep apnea (OSA) are prevalent chronic conditions with emerging evidence suggesting a potential link. However, the causality of this association remains unclear, possibly influenced by confounders like high body mass index (BMI). This study aimed to explore causal relationships between OA and OSA using Mendelian randomization (MR). METHODS:MR analysis was performed to assess causality between OA and OSA. Inverse variance weighting (IVW) was the primary MR method, complemented by sensitivity analyses, including MR steiger, MR-Egger, MR-PRESSO, weighted median, heterogeneity tests, and leave-one-out approaches to evaluate pleiotropy and confirm the robustness of the causal estimates. To exclude confounding effects of BMI, we also used a multivariate MR (MVMR). RESULTS:After adjusting for BMI through MVMR, no significant causal relationship was identified between genetically predicted OSA and OA phenotypes, including knee (KOA) and hip osteoarthritis (HOA), suggesting that obesity largely drives the observed relationship between these conditions. Similarly, MR steiger doesn't support a causal effect from OA on OSA. Sensitivity analyses confirmed the robustness of these results, with no significant evidence of horizontal pleiotropy or heterogeneity affecting outcomes. The findings indicate that BMI acts as a critical confounder in the relationship between OSA and OA, rather than OSA directly contributing to OA development. CONCLUSIONS:Our findings indicate that there is no significant causal relationship between genetically predicted OSA and OA after adjusting for BMI. These findings underscore obesity as the primary shared risk factor, highlighting the importance of weight management as a key strategy for mitigating the risks of both conditions. Future research should aim to validate these findings in diverse populations and explore other metabolic pathways that may contribute to these complex associations.

Abstract Background This retrospective analysis was performed to investigate the potential influence of intra-operative blood transfusion (IBT) in patients aged 65 years or older with intertrochanteric fractures (IF) who underwent intramedullary fixation. Methods The outcomes of interest included the incidence of postoperative delirium (POD), pain score at discharge, length of hospital stay (LOS), functional outcomes, and mortality. The study included all surgically treated patients with IF between Jan. 2018 and Dec. 2021. Data on patient demographics, injury-related factors, surgical procedures, intraoperative details, in-hospital information, and postoperative outcomes were collected. In order to mitigate potential confounding and selection bias, the researchers employed the propensity score matching (PSM) technique using a 1:1 ratio via the caliper matching method. Following PSM, the association between IBT and outcome analyses was assessed using McNemar's Chi-square tests. Additionally, the Spearman correlations between IBT, POD and postoperative functional outcomes were computed. Results Out of the initial 2159 consecutive patients screened, a final sample of 1681 individuals was included, consisting of 1278 in the non-IBT group and 403 in the IBT group. After PSM, each group comprised 298 participants. The disparities in POD rate and functional outcomes became significant after employing propensity score-based matching (P < 0.001 and 0.029, respectively), despite their lack of significance prior to matching. There were no notable distinctions observed in other operation-related data, LOS, and crude mortality rates at 30-day, 90-day, and 12-month intervals before and after PSM. Furthermore, incidence of POD (P = 0.006) and functional outcomes (P = 0.013) were significantly associated with IBT. Conclusion In conclusion, IBT significantly increases the incidence of POD and hinders postoperative functional recovery in elderly patients with hip fracture.

BACKGROUND:Mitochondrial dysfunction has been demonstrated to be an important hallmark of sarcopenia, yet its specific mechanism remains obscure. In this study, mitochondrial-related genes were used as instrumental variables to proxy for mitochondrial dysfunction, and summary data for sarcopenia-related traits were used as outcomes to examine their genetic association. METHODS:A total of 1 136 mitochondrial-related genes from the human MitoCarta3.0 database were extracted. Genetic instruments for them were obtained from gene expression quantitative trait locus (eQTLs) study (n = 31 684). Aggregated data for sarcopenia-related traits including low hand grip strength (LHGS), appendiceal lean mass (ALM), and usual walking pace (UWP) were provided by large-scale genome-wide association studies (GWASs). We integrated eQTLs data with GWAS data to estimate genetic association between mitochondrial dysfunction and sarcopenia using summary-data-based Mendelian randomization (SMR) analysis. Additionally, we implemented colocalization analysis to strengthen their association. Finally, eQTLs data from skeletomuscular tissue (n = 706) was used to validate the primary findings. RESULTS:By integrating the analysis results from the 3 sarcopenia-related traits, 2 mitochondrial genes genetically associated with sarcopenia were identified, namely UQCC1 (tier 2 evidence) and ETFDH (tier 3 evidence). Specifically, elevated expression levels of UQCC1 increased LHGS risk (OR = 1.114; 95% CI, 1.078-1.152; P-FDR = 1.70 × 10-7), which matched the negative association between it and UWP (Beta = -0.015; 95% CI, -0.021 to -0.010; P-FDR = 6.70 × 10-5). Furthermore, elevated expression levels of ETFDH were found to be associated with both lower ALM (Beta = 0.031; 95% CI, 0.020-0.042; P-FDR = 1.41 × 10-6) and UWP (Beta = 0.013; 95% CI, 0.006-0.021; P-FDR = 0.029). Of note, consistent results were replicated in specific skeletomuscular tissues, further suggesting our findings were robust. CONCLUSIONS:Our analyses revealed the genetic association between 2 mitochondrial-related genes, ie, UQCC1 and ETFDH, and sarcopenia, highlighting the pivotal role of mitochondrial dysfunction driven by these genes in the pathogenesis of sarcopenia. Importantly, these candidate genes represent potential clinical drug targets for the treatment of sarcopenia.

BACKGROUND:Deep Vein Thrombosis (DVT) represents a significant complication following orthopedic injuries, particularly patellar fractures. Despite the prevalence, comprehensive studies assessing the incidence rates and identifying specific risk factors in patellar fracture patients are limited. METHODS:This retrospective analysis reviewed electronic medical records from 3311 patients treated for patellar fractures at two tertiary hospitals between November 2013 and January 2023. The study focused on patient demographics, fracture characteristics, comorbidities, and laboratory parameters to evaluate the incidence and predictors of DVT. DVT prophylaxis measures and diagnostic criteria, including Doppler Ultrasound Scans, were rigorously applied. RESULTS:In patients with patellar fractures, the DVT incidence was 30.8%, with 1,790 clots identified in 1,021 diagnosed individuals, predominantly on the injured side (96.7%), and a minor portion on the uninjured side (3.2%). Key risk factors included older age (P<0.001, OR = 1.038), the presence of open injuries (P = 0.002, OR = 1.521), multiple injuries (P<0.001, OR = 3.623), and prolonged time from injury to surgical treatment (P<0.001, OR = 1.097). Conversely, higher levels of albumin (ALB) (P = 0.029, OR = 0.983) and sodium (Na) (P = 0.028, OR = 0.971) were identified as protective factors against DVT. Besides, ROC curve analysis revealed that the age of 52 years and a duration of 4 days from injury to surgery serve as predictive cut-off values for assessing the risk of DVT. CONCLUSION:Our study investigates the incidence of thrombosis in patellar fracture patients and identifies key risk factors for DVT, including age, open and multiple injuries, and the time from injury to surgery. Additionally, we highlight sodium and albumin levels as protective factors. By establishing threshold values for age and surgical delay, our findings improve DVT risk assessment, facilitating earlier and more targeted interventions.

Background: Optimal treatment strategy for nonagenarians and centenarians with hip fractures (NCHF) remained unknown. We aimed to compare the outcomes of surgical and conservative management in NCHF. Methods: A prospective cohort study was conducted based on CPMHF database with NCHF patients hospitalized during 2014–2020. Comorbidities were evaluated by mECM score and restricted cubic spline was utilized to visually assess the dose-effect relationship between the mECM and outcomes. Propensity score matching was performed to balance baseline characteristics between non-surgical and surgical groups. Multivariate logistic regression, Cox proportional hazard analysis, and survival analysis were employed for unfavorable outcomes (UFO) evaluation. Competing risk of death were analyzed based on Fine and Gray’s hazard model and then constructed nomogram models for predicting survival rates. Subgroup analyses were used to determine potential population heterogeneity and sensitivity analyses were performed to test robustness of the results. Results: We found increasing trends for UFO with the increase in the mECM score, and that high mECM score (HMS, ≥3) was independently associated with a 2.42-fold (95%CI, 2.07-3.54; P =0.024) increased risk of UFO, which remained significant after considering the competing role of death and were more pronounced in non-surgical treatment, women, no insurance, and patients with spouse (all P for interaction<0.05). Surgical intervention was identified to be significant protective factors for UFO (RR, 0.59; 95%CI, 0.46-0.75; P <0.001) and severe complications (RR, 0.63; 95%CI, 0.41-0.96; P =0.033) after PSM, as well as survival (HR, 0.40, 95%CI, 0.28-0.58; P <0.001), which remained significant after considering the competing role of death and in all sensitivity analyses and were more pronounced in HMS participants ( P for interaction=0.006). Subgroup analyses revealed surgical patients with HMS had a significantly higher UFO rate (excluding death, P <0.001) while non-surgical patients with HMS had higher mortality rate as compared to the others ( P =0.005). Conclusion: Surgical treatment for NCHF yields better outcomes compared to conservative treatment.

Background: This study aimed to evaluate the performance of Hounsfield Unit (HU) value on the vertebral bone mineral density associated with adult degenerative lumbar scoliosis (ADLS) and to compare the HU and coronal height changes of the lumbar spine on the concave and convex sides. The secondary aim was to investigate the risk factors for increased asymmetric ratio of HU (ARH) by concave-to-convex. Material/Methods: A total of 74 patients aged 350 years were retrospectively reviewed. The height and the HU values of the region of interest were measured and compared. Multiple linear regression and gender-stratified analyses were performed to explore risk factors. Restricted cubic spline (RCS) was used to visually assess the dose-effect relationship between the Cobb angle and ARH. Results: The heights on the concave sides were significantly lower while HU values were significantly higher than that of the convex side. Cobb angle (95% CI: 0.001 to 0.009, P=0.034) was positively correlated with the increased ARH, while apex orientation to the right (95% CI: -0.152 to -0.013, P=0.022) was negatively associated. Genderstratified analyses showed age and apex vertebrae location are 2 additional risk factors in male patients but not in female patients. Cobb angle was identified by RCS as a risk factor both in males and females and the inflection points were 15 and 17.5, respectively. Conclusions: HU values on the concave side are significantly higher than on the convex side, showing the asymmetrical bone mass distribution of ADLS patients. Several gender-related risk factors for increased ARH have been identified.

Association between mitochondrial dysfunction and osteoarthritis (OA) has been consistently investigated, yet their genetic association remains obscure. In this study, mitochondrial-related genes were used as instrumental variables to proxy for mitochondrial dysfunction, and summary data of knee OA (KOA) were used as outcome to examine their genetic association. We obtained 1136 mitochondrial-related genes from the human MitoCarta3.0 database. Genetic proxy instruments for mitochondrial-related genes from studies of corresponding gene expression (n = 31,684) and protein (n = 35,559) quantitative trait locus (eQTLs and pQTLs), respectively. Aggregated data for KOA (62,497 KOA cases and 333,557 controls) were extracted from the largest OA genome-wide association study (GWAS). We integrated QTL data with KOA GWAS data to estimate their genetic association using summary data-based Mendelian randomization analysis (SMR). Additionally, we implemented Bayesian colocalization analysis to reveal whether suggestive mitochondrial-related genes and KOA were driven by a same genetic variant. Finally, to validate the primary findings, replication study (24,955 cases and 378,169 controls) and multi-SNP-based SMR (SMR-multi) test was performed. Through SMR analysis, we found that the expression levels of 2 mitochondrial-related genes were associated with KOA risk. Specifically, elevated gene expression levels of the IMMP2L (odds ratio [OR] = 1.056; 95

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. 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. 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

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 Δ P 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.

Osteoarthritis (OA), a prevalent age-related disease, is increasingly recognized as a multifactorial condition. This comprehensive review provides a multifaceted perspective on the organ-joint crosstalk contributing to OA, transcending the traditional focus on local joint pathology. Based on current research, we discussed the brain-joint, gut-joint, muscle-joint interactions in the etiology and progression of OA. In brain-joint axis, the neuroendocrine regulation, circadian rhythms, and leptin signaling influence joint tissues. We also discussed the role of prostaglandin E2 in skeletal interoception and its potential as a therapeutic target. The gut-joint axis is underscored by the impact of gut microbiota dysbiosis on systemic inflammation and metabolic disorders, both of which are implicated in OA pathogenesis. Furthermore, age-related sarcopenia, characterized by muscle mass and strength loss, is identified as a significant risk factor. Sarcopenia may contribute to OA progression through compromised mechanical support, systemic inflammation, and muscle-derived myokines. Finally, we synthesize the evidence supporting the modulation of circadian rhythm, skeletal interoception, gut microbiome, and muscle mass as innovative strategies for OA management. The organ-joint crosstalk is integral to the complex pathogenesis of OA, highlighting the multifactorial nature of OA and the potential for targeted therapeutic interventions. By integrating these multidimensional perspectives, we aim to enhance our understanding of OA pathogenesis and explore potential pharmacological targets.

Background:The association between allogenic blood transfusions and all-cause mortality in surgically treated hip fracture patients with perioperative transfusion (STHFPT) remained unknown. The authors aim to introduce transfusion-related factors, new variables to develop, and validate models to predict mortality in these patients.Methods:A prospective multicenter cohort study was conducted with STHFPT hospitalized during January 2018 and June 2021. The database was divided into training cohort and validation cohort in a ratio of 70-30% using the randomization method. All participants received a minimum of 2-year follow-up and all participants' overall and eight time-specific survival status were recorded. Prediction models were developed using multivariate logistic regression and Cox regression for variable selection. Model performance was measured by determining discrimination, calibration, overall model performance or precision, and utility. Sensitivity analyses were performed to test robustness of the results.Results:A total of 7074 consecutive patients were prospectively screened and assessed for eligibility to participate. Finally, 2490 patients met our inclusion and exclusion criteria and 1743 (70%) patients were randomized to the training cohort and 747 (30%) to the validation cohort. The median duration of follow-up was 38.4 months (IQR 28.0-62.0). Our novel models highlight that preoperative transfusion is of significance for short-term mortality while mid-term outcomes are predominantly determined by severe complications, pulmonary complications, and advanced age. Our models showed high discriminative power, good calibration, and precision for mortality prediction in both training and validation cohorts, especially in short-term mortality prediction.Conclusions:The authors introduce transfusion-related factors, new variables to develop, and validate models to predict mortality with STHFPT. The models can be further tested and updated with the ultimate goal of assisting in optimizing individual transfusion strategy.

Blisters are a common complication of orthopedic trauma and can cause surgery delay and increase the risk of infection. This study aims to identify risk factors for blisters in patients with acute compartment syndrome (ACS). Our study collected data from 206 ACS patients admitted to 2 hospitals between November 2013 and January 2021. Patients were divided into 2 groups: the blister group (BG) and the control group (CG), based on the presence or absence of blisters. We conducted univariate analysis, logistic regression analysis, and receiver operating characteristic (ROC) curve analysis to identify any significant differences in demographics, comorbidities, and admission laboratory test results between the 2 groups. Our study found that the incidence of blisters in ACS patients was 21.8% (45 out of 206). Univariate analysis identified several factors that were significantly associated with blister formation. Logistic regression analysis showed that patients who developed ACS in the winter or spring (P = .007, OR = 2.690, 95% CI [1.308–5.534]), patients who received a referral (the process whereby patients are transferred between medical facilities for further evaluation and treatment attempts prior to admission to our hospital) (P = .009, OR = 4.235, 95% CI [1.432–12.527]), and patients with higher PLR (P = .036, OR = 1.005, 95% CI [1.000–1.009]) were independent risk factors for blisters. Additionally, a history of drinking (P = .039, OR = 0.027, 95% CI [0.046–0.927]) was found to be a protective factor for blister formation in these patients. Moreover, ROC curve analysis showed that a PLR value of 138 was the cutoff point for predicting the development of blisters in ACS patients. Our study identified seasonal factors (refer to these months like winter or spring), referral, and patients with higher PLR as independent risk factors, and a history of drinking as a protective factor for blister formation in ACS patients. These findings allow clinicians to individualize the evaluation of blister risk and perform early targeted therapies.

This study aimed to identify the risk factors of deep vein thrombosis (DVT) in adults with acute compartment syndrome (ACS) following lower extremity fractures. We collected data on adults with ACS following lower extremity fractures in our hospital from November 2013 to January 2021. Patients were divided into the DVT group and the non-DVT group according to whether they had DVT or not. The demographics, comorbidities, and admission laboratory examinations were computed by univariate analysis, logistic regression analysis, and receiver operating characteristic (ROC) curve analysis. In our study, the rate of DVT (26 of 110) was 23.6%. Univariate analysis showed that numerous factors were associated with the formation of DVT. Logistic regression analysis showed that patients with multiple fractures ( P = .015, OR = 5.688), patients with a history of hypertension ( P = .011, OR = 16.673), and patients with a higher BMI ( P = .008, OR = 1.950) and FDP ( P = .013, OR = 1.031) were relevant predictors of DVT. ROC curve analysis indicated 24.73 kg/m 2 and 28.33 μg/mL were the cutoff values of BMI and FDP to predict the DVT, respectively. Furthermore, the combination of BMI and FDP had the highest diagnostic accuracy. Our findings identified multiple fractures, BMI, and FDP as independent risk factors for DVT in patients with ACS following lower extremity fractures and determined the cutoff values of BMI and FDP, helping us individualize the assessment of the risk of DVT to manage early targeted interventions.

The choice of the type of anesthesia (TOA) used in hip fracture surgery in older adults is still controversial. The main question is not whether regional anesthesia (RA) or general anesthesia (GA) is superior, but in which patients the type of anesthesia may affect the outcome after surgery. In this retrospective analysis of surgically treated intertrochanteric fracture patients, we used propensity score matching (PSM) to investigate whether clinically relevant differences in outcomes were observed in mortality, complications, and functional outcomes between RA and GA. After screening 2934 consecutive patients, 2170 were ultimately included, including 841 in the GA group and 1329 in the RA group. After PSM, 808 remained in each group. Patients receiving GA were more prone to have a shorter duration for their operation and higher total hospital costs than patients with RA (p = 0.034 and 0.004, respectively). We also observed that the GA group has a higher rate of pulmonary complications, while the RA group has a higher rate of cardiac complications (p = 0.017 and 0.011, respectively). No significant difference was observed in mortality, functional outcomes, and other complications (all p > 0.05). The clinical innovation of this study was the potential value of GA for patients with cardiac diseases and of RA for patients with pulmonary diseases.

Objective: Our objective is to estimate the clinical effectiveness of 3-level and 4-level anterior cervical discectomy and fusion (ACDF) in the management of cervical spondylotic myelopathy (CSM).Methods: We conducted a thorough search in English databases. We gathered the data on surgical variables and complications to contrast the clinical effectiveness between 3-level and 4-level. We utilized RevMan 5.3 and STATA 12.0 to analyze the data.Results: Finally, eight studies met inclusion criteria of this study. Our findings indicated that operation time [p for heterogeneity = 0.23, I-2 = 32 %, p<0.00001, OR =-24.93, 95%CI (-32.39,-17.49)], blood loss [p for heterogeneity = 0.33, I-2 = 10 %, p<0.00001, OR =-60.87, 95%CI (-85.43,-36.32)] and the total number of complications [p for heterogeneity = 0.36, I-2 = 0 %, p = 0.004, OR = 0.37, 95%CI (0.18,0.72)] in 3-level ACDF were significantly less than in 4-level ACDF. No marked difference was found in hospital stay, revision rate, fusion rate, the number of readmissions, infection, hematoma, or pseudarthrosis between 3-level and 4-level ACDF.Conclusions: It is easy to understand that performing 4-level needs more operation time and blood loss. No obvious discrepancy was found with regard to the subgroups of complications between the two procedures, yet 4-level procedures had a more number of complications.

IntroductionHigh stress in the compartment surrounded by the deep fascia can cause acute compartment syndrome (ACS) that may result in necrosis of the limbs. The study aims to investigate the cellular heterogeneity of the deep fascia in ACS patients by single-cell RNA sequencing (scRNA-seq). MethodsWe collected deep fascia samples from patients with ACS (high-stress group, HG, n=3) and patients receiving thigh amputation due to osteosarcoma (normal-stress group, NG, n=3). We utilized ultrasound and scanning electron microscopy to observe the morphologic change of the deep fascia, used multiplex staining and multispectral imaging to explore immune cell infiltration, and applied scRNA-seq to investigate the cellular heterogeneity of the deep fascia and to identify differentially expressed genes. ResultsNotably, we identified GZMK(+)interferon-act CD4 central memory T cells as a specific high-stress compartment subcluster expressing interferon-related genes. Additionally, the changes in the proportions of inflammation-related subclusters, such as the increased proportion of M2 macrophages and decreased proportion of M1 macrophages, may play crucial roles in the balance of pro-inflammatory and anti-inflammatory in the development of ACS. Furthermore, we found that heat shock protein genes were highly expressed but metal ion-related genes (S100 family and metallothionein family) were down-regulated in various subpopulations under high stress. ConclusionsWe identified a high stress-specific subcluster and variations in immune cells and fibroblast subclusters, as well as their differentially expressed genes, in ACS patients. Our findings reveal the functions of the deep fascia in the pathophysiology of ACS, providing new approaches for its treatment and prevention.

Purpose The objective of this study was to identify the risk factors for admission deep venous thrombosis (aDVT) and proximal aDVT in nonagenarians and centenarians with intertrochanteric fracture (IF). Methods We collected statistics on nonagenarians and centenarians with IF admitting from January 2010 to October 2022. Patients with aDVT were considered as the aDVT group and those without aDVT as the non-aDVT group. Additionally, we also conducted a subgroup analysis based on the location of aDVT to investigate the predictors of proximal aDVT. The demographics, comorbidities and admission laboratory examinations of patients were computed by univariate analysis, logistic regression analysis, and receiver operating characteristic (ROC) curve analysis. Results In our study, the rate of aDVT (109 of 318) was 34.3%, and 5.7% (18 of 318) of patients had proximal aDVT. Logistic regression analysis showed that female patients and a high level of D-dimer were risk factors for aDVT. Similarly, hypoproteinemia and a high level of D-dimer were found to be risk factors for proximal aDVT. ROC curve analysis indicated the cut-off values of D-dimer to predict the aDVT and proximal aDVT were 1.28 mg/L and 1.485 mg/L, respectively. Conclusions Our findings investigated the risk factors of aDVT and proximal aDVT in nonagenarians and centenarians with IF and identified the cut-off values of D-dimer, helping us assess the risk of aDVT and proximal aDVT to manage early targeted interventions. Level of evidence III.

Background Surgical site infection (SSI) is one of the most common complications of orthopedic surgery, which can result in fever, pain, and even life-threatening sepsis. This study aimed to determine the predictors of SSI after fasciotomy in patients with acute leg compartment syndrome (ALCS). Methods We collected information on 125 ALCS patients who underwent fasciotomy in two hospitals between November 2013 and January 2021. Patients with SSI were considered as the SSI group and those without SSI as the non-SSI group. Univariate analysis, logistic regression analysis, and receiver operating characteristic (ROC) curve analyses were used to evaluate patient demographics, comorbidities, and admission laboratory examinations. Results In our research, the rate of SSI (26 of 125) was 20.8%. Several predictors of SSI were found using univariate analysis, including body mass index (BMI) ( p = 0.001), patients with open fractures ( p = 0.003), and patients with a history of smoking ( p = 0.004). Besides, the levels of neutrophil ( p = 0.022), glucose ( p = 0.041), globulin ( p = 0.010), and total carbon dioxide were higher in the SSI group than in the non-SSI group. According to the results of the logistic regression analysis, patients with open fractures ( p = 0.023, OR 3.714), patients with a history of smoking ( p = 0.010, OR 4.185), and patients with a higher BMI ( p = 0.014, OR 1.209) were related predictors of SSI. Furthermore, ROC curve analysis indicated 24.69 kg/m 2 as the cut-off value of BMI to predict SSI. Conclusions Our results revealed open fractures, BMI, and smoking history as independent risk factors for SSI following fasciotomy in patients with ALCS and determined the cut-off value of BMI, enabling us to individualize the evaluation of the risk for SSI to implement early targeted treatments.

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.

OBJECTIVES:Acute compartment syndrome (ACS) is a severe medical condition that, if left untreated, can cause permanent nerve and muscle damage, and may even require amputation. The objective of this study was to identify the risk factors associated with the development of ACS in patients with both-bone fractures of the forearm. METHODS:Between November 2013 and January 2021, a retrospective data collection was conducted on 611 individuals who experienced both-bone forearm fractures at a level 1 trauma center. Among these patients, 78 patients were diagnosed with ACS, while the remaining 533 patients did not have ACS. Based on this division, the patients were categorized into two groups: the ACS group and the non-ACS group. Demographics (including factors such as age, gender, body mass index, crush injury, etc.), comorbidities (including conditions such as diabetes, hypertension, heart disease, anemia, etc.), and admission lab results (including complete blood count, comprehensive metabolic panel, and coagulation profiles, etc.) were analyzed using univariate analysis, logistic regression, and ROC curve analysis. RESULTS:Predictors of ACS were identified through the final multivariable logistic regression analysis, which revealed that crush injury (p < 0.001, OR = 10.930), the levels of neutrophils (NEU) (p < 0.001, OR = 1.338) and the levels of creatine kinase (CK) (p < 0.001, OR = 1.001) were significant risk factors. Additionally, age (p = 0.045, OR = 0.978) and albumin (ALB) level (p < 0.001, OR = 0.798) were found to provide protective effects against ACS. Furthermore, the receiver operating characteristic (ROC) curve analysis determined cut-off values for NEU and CK to predict ACS: 7.01/L and 669.1 U/L respectively. CONCLUSIONS:Our study identified crush injury, NEU, and CK as significant risk factors for ACS in patients with both-bone forearm fractures. We also determined the cut-off values of NEU and CK, allowing for the individualized evaluation of ACS risk and the implementation of early targeted treatments.