Optimal Cut-off Value Research Articles

The serum uric acid/high-density lipoprotein cholesterol ratio: a novel predictor for the presence of abdominal aortic aneurysm

ObjectiveRobust evidence has demonstrated that inflammation plays an important role in the occurrence and development of abdominal aortic aneurysms (AAA). The serum uric acid (UA)/high-density lipoprotein cholesterol (HDL-C) ratio (UHR) has recently been recognized as a new biomarker for evaluating inflammatory and anti-inflammatory interactions. However, whether UHR is associated with AAA remains unclear. This study aimed to explore the association between UHR and presence of AAA.MethodsWe prospectively performed a hospital-based and community-based AAA screening program using ultrasonography in 9,064 individuals at Guangdong Provincial People’s Hospital and two communities in China. Logistic regression analysis was used to explore the association between UHR and presence of AAA. In addition, the restricted cubic spline (RCS) regression method was used to visually investigate the dose-response relationship between UHR and the presence of AAA. Propensity score matching (PSM) analysis was conducted to adjust for baseline variations and diminish selection bias, and subgroup analysis was performed to investigate the consistency of the conclusions.ResultsThe prevalence of AAA was 2.45% (222/9,064) in the present study. The optimal cut-off value of UHR was 17.0%, which was selected according to the receiver operator characteristic curve. The prevalence of AAA was 3.96% in the high-UHR group (UHR ≥ 17%) and 1.54% in the low-UHR group (UHR < 17%) (P < 0.001). After adjusting for other relevant clinical covariates, UHR was independently associated with the presence of AAA, either as a continuous variable (odds ratio [OR] 1.03, 95% confidence intervals [CI] 1.01–1.05, P < 0.001) or as a categorical variable (OR 1.63, 95% CI 1.18–2.26, P = 0.003). The RCS curve showed a nonlinear dose-response relationship between UHR and the presence of AAA. Moreover, the positive correlation between UHR and the presence of AAA remained significant after PSM and subgroup analyses.ConclusionsUHR was positively associated with the presence of AAA, and there was a non-linear dose-response relationship between them. Thus, UHR may serve as a novel and reliable predictor of AAA.

Association of serum albumin-to-creatinine ratio with in-hospital mortality in patients with severe acute pancreatitis: a retrospective study.

The serum albumin-to-serum creatinine ratio (sACR) is independently associated with the prognosis of multiple diseases. However, its relationship with in-hospital mortality of patients with severe acute pancreatitis (SAP) remains unclear. Patients diagnosed with SAP between April 2016 and December 2023 were collected. These patients were categorized into low and high sACR groups based on an optimal cut-off value calculated using Youden's index. Multivariate logistic regression analysis was utilized to examine the relationship between sACR levels and the in-hospital mortality. Additionally, a limited restricted cubic spline (RCS) method was employed to evaluate the nonlinear relationship between sACR values and the risk of in-hospital mortality. The potential for unmeasured confounders between sACR levels and in-hospital mortality was also explored through the calculation of the E value. A total of 114 eligible patients were included in this sutdy. The multivariate logistic regression analysis indicated an independent association between sACR levels and in-hospital mortality (p < 0.001). The RCS analysis demonstrated a linear correlation between sACR values and the risk of in-hospital mortality (P for non-linearity > 0.05), where the risk increased as the sACR value decreased. The research findings suggest that sACR levels are independently associated with in-hospital mortality of patients with SAP, providing a means for early identification of those at high risk of in-hospital mortality. This early identification may facilitate the optimizing and strengthening of treatments, ultimately leading to improved outcomes.

Establishment and validation of a predictive model for lower extremity deep vein thrombosis in patients with traumatic pelvic fractures

BackgroundPatients with traumatic pelvic fracture (TPF) are at high risk for developing deep vein thrombosis (DVT). However, there is still no unified standard on how to distinguish high-risk groups for DVT in patients with TPF and how to accurately use anticoagulants at present.ObjectivesThis observational study aimed to establish a DVT risk nomogram score (DRNS) model for TPF patients, and to explore the value of the DRNS model as a clinical guideline in the prevention of DVT with low molecular weight heparin (LMWH).MethodsIndependent risk factors of lower extremity DVT were screened through Lasso regression and logistic regression. A DRNS model was established per this.ResultsThe independent risk factors of DVT included combined femoral fractures, age ≥ 40 years old, BMI (body mass index) ≥ 24 kg/m2, ISS score, fibrinogen concentration, and the minimum concentration of ionized calcium within 48 h after admission. The optimal cutoff value for DRNS was 78.5. In the low-risk population of DVT (DRNS < 78.5), there was no statistical significance of variation about the incidence of DVT progression between the LMWH once a day (qd) group and the LMWH once every 12 h (q12h) group, with P = 0.323. In the high-risk population of DVT (DRNS ≥ 78.5), the incidence of DVT progression in the LMWH qd group was significantly higher than that in the LMWH q12h group, with P = 0.002.ConclusionsThe DRNS model based on independent risk factors of DVT could stratify the risk of DVT for TPF patients, and it was able to provide more precise DVT drug prevention plans for clinicians.

Predictive and Prognostic Value of Inflammatory and Nutritional Indexes in Patients with Breast Cancer Receiving Neoadjuvant Chemotherapy

Background and Objectives: Neoadjuvant chemotherapy (NAC) improves survival by increasing pathologic complete response (pCR). Blood-based indexes have been studied in breast cancer for predicting pCR and prognosis, but the results are conflicting. We aimed to assess the impact of inflammatory and nutritional indexes on pCR and survival. Materials and Methods: We retrospectively analyzed 304 patients. Pre-NAC laboratory data were used to calculate their neutrophil-to-lymphocyte ratios (NLR), pan-immune inflammation values (PIV), lactate dehydrogenase–albumin ratios (LAR), and prognostic nutritional indexes. The optimal cut-off values were determined through an analysis of the receiver operating characteristic curve. Survival analyses were performed using the Kaplan–Meier method. Multivariate regression analyses were performed to reveal the factors predicting pCR. Univariate and multivariate survival analyses were conducted to identify prognostic factors predicting survival. Results: The median follow-up was 38.5 months. pCR was achieved in 41.4% of the patients. In the univariate analyses, the NLR (p = 0.032) and PIV (p = 0.002) were indexes associated with pCR. In the multivariate analysis, the PIV (p = 0.008) was the only index significantly correlated with pCR. According to the multivariate Cox regression analyses, clinical stage 3 (p = 0.032), a pathologic response other than pCR (p = 0.021), and a high LAR (≥4.72) (p = 0.002) were correlated with increased recurrence risk. The univariate Cox regression analyses revealed that failure to achieve pCR (p = 0.037) and the presence of a high LAR (p = 0.044) were significant predictors of overall survival. However, the multivariate analyses failed to identify any significant predictors of death. Conclusions: We found that the PIV was more effective than the other indexes in predicting pCR. To our knowledge, this study is the first to determine an association between the LAR and disease-free survival in patients with breast cancer receiving NAC. We concluded that a high LAR was a poor prognostic factor, especially in patients without a pCR. Therefore, close postoperative monitoring and the intensification of adjuvant treatment should be considered for these patients. However, further studies are needed to confirm our findings.

Keratoconus Detection in High-Astigmatism Pediatric Patients: Optimal Pentacam Indices and Cutoff Points.

To assess the accuracy of various Pentacam indices in distinguishing keratoconus (KC) in pediatric patients with high astigmatism and to establish appropriate cutoff values. This prospective multicenter cross-sectional study included 312 eyes from 167 patients aged 6 to 18 years (mean age, 13.1 ± 3.2 years) evaluated with Oculus Pentacam HR. Patients were categorized into 4 groups: KC, forme fruste keratoconus, astigmatism greater than 2 diopters (Cyl2D), and control. A subgroup of Cyl2D comprised patients with astigmatism greater than 4 diopters (Cyl4D). Twenty-three Pentacam indices were analyzed, and receiver operating characteristic curves determined optimal cutoff points, sensitivity, and specificity. The best indices for distinguishing KC from Cyl2D were high-order aberration root mean square of the anterior corneal surface (area under the receiver operating characteristic curve 0.987), Belin/Ambrosio enhanced ectasia total derivation (0.971), index of vertical asymmetry (0.971), average pachymetric progression index (0.962), maximum Ambrosio relational thickness (0.960), posterior elevation (0.952), and anterior elevation (0.948). The accuracy of these indices was highest in the control group and lowest in the Cyl4D group. Area under the receiver operating characteristic curve was significantly lower for fruste keratoconus than KC. Optimal cutoff values were higher for astigmatic patients than for those with no refractive error. Most indices effectively distinguished between KC and normal pediatric patients. For individuals with high astigmatism, we suggest focusing on specific indices such as high-order aberration root mean square, Belin/Ambrosio enhanced ectasia total derivation value, maximum Ambrosio relational thickness, average pachymetric progression index, and index of vertical asymmetry. Optimal cutoff points for these patients were higher than those for nonastigmatic children and differed from adult populations.

Determining Maximal Outcome Improvement Thresholds for Patient-Reported Outcome Measures After Primary ACL Reconstruction: A Mid-Term Follow-up Study Using the Anchor Method.

The clinical interpretation of patient-reported outcome measures (PROMs) after anterior cruciate ligament (ACL) reconstruction (ACLR) can be challenging. This study aimed to establish the clinical relevance of PROMs by determining maximal outcome improvement (MOI) thresholds at mid-term follow-up after primary ACLR. A total of 343 patients who underwent primary single-bundle ACLR using hamstring tendon autograft at our institute were included. Patients were queried with a 2-option anchor question regarding satisfaction with their current knee symptom state. The MOI of a PROM was calculated for each patient as the percentage of improvement normalized by the maximal possible improvement. The MOI threshold for each PROM was determined as the optimal cutoff value for predicting patient satisfaction based on receiver operating characteristic curve analysis. Multivariable logistic regression analyses were performed to identify predictors of achieving these thresholds. Subgroup analyses that stratified the time from injury to surgery within the cohort were performed, and MOI thresholds were recalculated within each of these subgroups. The PROMs evaluated in this study were the modified Lysholm Knee Score and the International Knee Documentation Committee Subjective Knee Evaluation Form (IKDC) score. The calculated MOI threshold was 35.1% for the Lysholm score and 46.7% for the IKDC score. A longer time from injury to surgery reduced the odds of achieving the MOI threshold for the Lysholm score (odds ratio [OR] per time bracket = 0.7114, p < 0.0001) and IKDC score (OR = 0.8038, p = 0.0003). Male sex was associated with higher odds of achieving the MOI threshold for the IKDC score (OR = 1.9645, p = 0.0143). For patients with chronicity of ≤6 months, the MOI threshold was 35.1% for the Lysholm score and 57.9% for the IKDC score, and for patients with chronicity of >6 months, the thresholds were 24.5% and 27.1%, respectively. The calculated MOI thresholds for the Lysholm and IKDC scores at mid-term follow-up after primary ACLR were 35.1% and 46.7%, respectively. Greater chronicity of the ACL injury was associated with lower odds of achieving the MOI thresholds for the PROMs at mid-term follow-up. Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.

Polysomnographic features of children with obesity: body mass index predict severe obstructive sleep apnea in obese children?

Few studies have explored the polysomnographic features of children with obesity. This study aimed to explore the demographic and polysomnographic features of obese children and determine whether body mass index (BMI) could predict severe obstructive sleep apnea (OSA). This cross-sectional study recruited obese children who underwent diagnostic polysomnography between January 2019 and March 2022. We explored demographic and anthropometric measures as well as polysomnographic abnormalities among them. We used receiver operating characteristic curves and logistic regression analyses to determine the optimal cut-off values of anthropometric variables for predicting severe OSA. A total of 132 children with obesity (76.5% male; mean age, 12.5 ± 3.2 years) were included. Severe OSA was identified in 64 (48.5%) children. Desaturation was observed in 59.8%, while 23.5% had hyperarousal, 20.5% had sleep-related hypoventilation, 60.6% had positional OSA, 40.2% had REM-related OSA, and 5.0% had obesity hypoventilation syndrome. Among them, BMI (odds ratio [OR], 1.11; 95% confidence interval [CI], 1.05-1.17; p < 0.001), neck circumference (OR, 1.15; 95% CI, 1.07-1.25; p < 0.001), and waist circumference (OR, 1.04; 95% CI, 1.02-1.07; p = 0.001) were significantly associated with severe OSA. These findings suggest a cut-off BMI for predicting severe OSA of greater than 29.2 kg/m2 with 81.3% sensitivity and 48.5% specificity. Severe OSA is common in children with obesity; thus, we recommend screening children with obesity and a BMI greater than 29.2 kg/m2 for severe OSA.

Impact of diversion ileostomy on postoperative complications and recovery in the treatment of locally advanced upper-half rectal cancer.

The efficacy of diversion ileostomy followed by radical surgery for locally advanced upper-half rectal cancer remains uncertain. This study seeks to compare the effectiveness of treatment with and without diversion ileostomy in preventing anastomotic leakage (AL) and to identify a subset who may benefit from diversion ileostomy after AL occurs in Chinese patients with stage II and III upper-half rectal cancer. A retrospective study enrolled a total of 809 patients with locally advanced upper-half rectal cancer between 2017 and 2021, with 27.6% (n = 223) treated with diversion ileostomy and 72.4% (n = 586) treated without diversion ileostomy. The Diversion(+) group (n = 172) and Diversion(-) group (n = 172) were compared for perioperative outcomes through 1:1 propensity score matching (PSM). The selection of variables for multivariable logistic regression was determined through bivariate logistic regression analysis. Additionally, optimal cutoff values for risk factors were identified using ROC curve analysis. Within the entire cohort, patients in the Diversion(+) group exhibited a lower distance from the anal verge (DAV) and higher rates of chemoradiotherapy (CRT), diabetes, cN2 stage, mrCRM positivity, EMVI positivity, and CEA elevation compared to those in the Diversion(-) group. Following PSM, a satisfactory balance of baseline variables was achieved between the two groups. There were no statistically significant differences in AL rates (7.0% vs. 5.8%, p = 0.659) or AL grade distribution (Grade A: 0.6% vs. 0%, Grade B: 5.2% vs. 4.1%, Grade C: 1.2% vs. 1.7%, p = 0.691) between the two groups. However, the Diversion(+) group demonstrated a higher incidence of postoperative complications (30.8% vs. 17.4%, p = 0.004), Clavien‒Dindo III-IV complications (2.9% vs. 2.3%, p = 0.013), particularly wound infections (8.1% vs. 1.2%, p = 0.002), and early postoperative inflammatory small bowel obstruction (EPISBO) (8.7% vs. 1.2%, p = 0.001) compared to the Diversion(-) group. Results from multivariate logistic regression analysis revealed that male gender (OR = 2.354, p = 0.014) was the only independent risk factor associated with AL, while the presence of diversion ileostomy (with vs. without, OR = 1.144, p = 0.686) did not show significant associations. In patients with AL, the onset of the AL was observed to occur later in the Diversion(+) group compared to the Diversion(-) group (7.0 ± 3.3 vs. 3.4 ± 1.4 days, p < 0.001), while the recovery time was significantly shorter (11.3 ± 4.7 vs. 20.3 ± 7.2 days, p < 0.001). Similarly, in Grade C AL patients, the occurence time was delayed in the Diversion(+) group compared to the Diversion(-) group (8.7 ± 4.7 vs. 3.2 ± 1.5 days, p = 0.008), with a shorter recovery time (19.3 ± 2.1 vs. 25.7 ± 6.7 days, p = 0.031). A trend was observed indicating a longer interval before ileostomy restoration in the AL patients compared to the non-AL patients (7.6 ± 4.9 months vs. 5.5 ± 2.9 months, p = 0.079). In addition, DAV (OR = 0.078, p = 0.002) was identified as the only independent factor associated with potential-diversion-benefit in patients with AL, with an optimal cutoff point of 8.6cm. The utilization of diversion ileostomy as a preventative measure for AL in cases of locally advanced upper-half rectal cancer is not universally endorsed due to potential complications such as small bowel obstruction and wound infection. Nevertheless, in the occurrence of AL, diversion ileostomy may prove advantageous for patient recuperation. Particularly, male patients with a DAV ranging from 7 to 8.6cm may experience benefits from undergoing diversion ileostomy subsequent to AL in cases of locally advanced upper-half rectal cancer.

Anatomical versus Electrophysiological Approach for Ablation of Premature Ventricular Contractions Originating from the Left Ventricular Summit (ISESHIMA-SUMMIT Study).

Catheter ablation (CA) of idiopathic ventricular arrhythmias (VAs) from the epicardial left ventricular summit is challenging. The endocardial approach targets two sites: the endocardial closest site (ECS) to the epicardial earliest activation site (epi-EAS) and the endocardial EAS (endo-EAS). We aimed to differentiate between cases where CA at the ECS was effective and where CA at the endocardial EAS yielded success. Fifty-eight patients (47 men, 60±13 years) were analyzed with VAs in which the EAS was observed in the coronary venous system (CVS). Overall, VAs were successfully eliminated in 42 (72%) patients; 8 in the CVS, 8 where the ECS matched with the endo-EAS, 11 at the ECS, and 15 at the endo-EAS. Successful ECS ablation was associated with a shorter epi-EAS-ECS distance (10.2±4.7 vs. 18.8±5.3 mm; P<0.001) and shorter epi-EAS-left main coronary trunk (LMT) ostial distance (20.3±7.6 vs. 30.3±8.4 mm; P=0.005), with optimal cut-off values of ≤12.6 mm and ≤24.0 mm, respectively. Successful endo-EAS ablation was associated with an earlier electrogram at the endo-EAS (23 [18, 36] vs. 15 [0, 19] ms preceding the QRS; P<0.001) and shorter epi-EAS-endo-EAS interval (6 [1, 8] vs. 22 [12, 25] ms; P<0.001), with optimal cut-off values of ≥18 ms and ≤9 ms, respectively. Shorter anatomical distances between the epi-EAS and ECS, and between the epi-EAS and LMT ostium, predict a successful ECS ablation. The prematurity of the endo-EAS electrogram and a shorter interval between the epi-EAS and endo-EAS predicted a successful endo-EAS ablation.

Critical risk factors analysis of infection-associated hemophagocytic lymphohistiocytosis in children.

To analyze the critical factors of infection-associated Hemophagocytic lymphohistiocytosis (HLH) in children, so as to provide theoretical basis for clinicians to evaluate the disease condition, formulate treatment plan and improve prognosis.This study is a retrospective analysis. 60 cases of children with infection-associated HLH were divided into critical and non-critical groups based on the presence of multiple organ dysfunction syndrome (MODS), and the clinical characteristics and laboratory data of the two groups of children were analyzed. A multifactor logistic regression analysis model was used to assess the independent risk factors affecting critical illness in children with infection-associated HLH, and the Receiver Operating Characteristic (ROC) curve analysis was used to evaluate the predictive value of risk factors for critical illness in children with infection-associated HLH. Children in the critical group with HLH had a younger age at onset. Alanine aminotransferase (ALT), aspartate aminotransferase (AST), lactate dehydrogenase (LDH), gamma-glutamyl transferase (GGT), D-dimer (DD), and triglycerides (TG) were significantly higher in the critical group, while albumin (ALB) was significantly lower, showing statistical significance (P < 0.05). Multifactorial logistic regression analysis of age, ALB, and TG showed that younger age and lower ALB were associated with a higher risk of MODS in children with infection-associated HLH, with age and ALB being independent risk factors for critical illness. ALB predicted the ROC area under the curve for critical children with infection-associated HLH was 0.765 (95% CI: 0.643-0.888, P = 0.011), with the optimal cut-off value being 32.50g/L (sensitivity = 68.3%, specificity = 84.2%); age predicted the ROC area under the curve for critical children with infection-associated HLH was 0.711 (95% CI: 0.570-0.851, P = 0.009), with the optimal cut-off value being 1.50 years (sensitivity = 70.7%, specificity = 68.4%). This study suggests that younger patients and those with hypoalbuminemia among infection-related HLH patients are more likely to develop MODS. In the future, verification will be required through large-scale, multi-center studies.

Development and evaluation of the Trauma Screener-Intellectual Disability: a post-traumatic stress disorder screening tool for adults with mild intellectual disability or borderline intellectual functioning.

This study aimed to evaluate the validity and reliability of the adult self-report and proxy version of the Trauma Screener-Intellectual Disability (TS-ID) in adults with mild intellectual disability or borderline intellectual functioning (MID-BIF). An optimal cut-off value was determined for the ratio of specificity to sensitivity for predicting the diagnosis of post-traumatic stress disorder (PTSD). The TS-ID was adapted from a Dutch Child and Adolescent Trauma Screener, for use with adults with MID-BIF. Outcomes based on the TS-ID were compared with the presence of PTSD, as classified using the Diagnostic Interview Trauma and Stressors-Intellectual Disability (Mevissen et al. 2018). The TS-ID adult version was administered to 97 participants with MID-BIF who lived in supported housing, whereas the TS-ID proxy version was administered to 92 family members or professional caregivers. The TS-ID adult version showed high internal consistency (Cronbach's α=.94) and excellent validity (AUC=.94) for distinguishing PTSD in adults with MID-BIF. Optimal specificity and sensitivity was found at a cut-off score of 18. Although the TS-ID proxy version demonstrated excellent internal consistency (Cronbach's α=.93), it showed no validity in statistically distinguishing PTSD in adults with MID-BIF. The TS-ID showed favourable psychometric qualities as a screening instrument of PTSD in the case for people with MID-BIF.

The maximum transverse diameter: an effective indicator for predicting peroral en bloc retrieval rate of mesenchymal tumors after endoscopic resection.

Gastrointestinal mesenchymal tumors (GIMTs) are being increasingly resected under endoscopy. Large GIMTs cannot be completely retrieved through the mouth, but the cut-off diameter of peroral en bloc retrieval (PEBR) for GIMTs completely resected is still unknown. This study aimed to investigate the ability of maximum transverse diameter (MTD) to predict the PEBR rate of GIMTs after endoscopic resection (ER). We retrospectively reviewed all patients who underwent ER for upper GIMTs from January 2009 to August 2023. The MTD was measured according to the maximum transverse diameter of specimen immediately retrieved after ER. For the PEBR rate, the independent predictors and optimal cut-off value of MTD were determined by logistic regression analysis and the receiver operating characteristic (ROC) curve analysis. The potential significance of preoperative CT for the evaluation of MTD was also clarified. A total of 2032 patients were diagnosed with upper GIMTs after en bloc resection under endoscopy. The overall PEBR rate was 98.72% (2006/2032). The PEBR rate was 100% for 1943 GIMTs with MTD < 2.5cm, 85.71% (60/70) for GIMTs with 2.5cm but ≤ 3.0cm, and 15.79% (3/19) for GIMTs with MTD > 3.0cm, and these rates were significantly different (P < 0.01). In terms of the PEBR rate of GIMTs, the ROC curve revealed that the optimal cut-off MTD value was 3.0cm, and logistic regression analysis revealed that MTD > 3.0cm was an independent predictive factor (OR 71.07, 95% CI 9.14-552.43; P < 0.001). The MTD of CT was related to that of the resected specimen (r = 0.7149, P < 0.01), and CT underestimated the mean MTD of upper GIMTs by 0.17cm (95% CI 0.09-0.24, P < 0.01). MTD is an effective indicator for predicting the PEBR rate of GIMTs after ER. Resected specimens with MTD > 3.0cm could not be routinely retrieved en bloc. Preoperative CT is suitable for evaluating the MTD of GIMTs, but underestimates the mean MTD of upper GIMTs by 0.17cm.

Development and validation of a tumor size-stratified prognostic nomogram for patients with gastric signet ring cell carcinoma.

Gastric signet ring cell carcinoma (GSRC) is a rare malignancy without a commonly acknowledged prognostic assessment and treatment system. This study aimed to determine the optimal cut-off value of tumor size (TS), and construct a prognostic nomogram in combination with other independent prognostic factors (PFs) to predict 3year and 5year overall survival (OS) in GSRC patients. From the Surveillance, Epidemiology, and End Results (SEER) database, this study collected 4744 patients diagnosed with GSRC. These patients were randomized into a training cohort (n = 2320,) and a validation cohort (n = 1142). A restricted cubic spline (RCS) was used to determine the cut-off value for TS, and univariate and multivariate Cox regression analyses were performed in the training cohort to identified significant predictors. A prognostic nomogram was constructed to predict OS at 3 and 5years. Concordance index (C index), receiver operating characteristics curve (ROC curve), area under curve (AUC), and calibration curve were used to test the predictive accuracy of the model. A non-linear relationship was observed between TS and the risk of OS in GSRC, with TS thresholds at 4.4cm and 9.6cm. Survival was significantly lower in GSRC patients with TS > 4.4cm. Age, marriage, chemotherapy, surgery, TS, SEER stage, regional lymph node status, and total number were independent predictors of OS. The C index in the training cohort was 0.748, and the AUC values for both 3- and 5-year OS were higher than 0.80. Similar results were observed in the validation cohort. In addition, the calibration curves showed good agreement between the predicted 3year and 5year OS and the actual OS. TS is a key prognostic factor for patients with GSRC, and patients with a TS of 4.4-9.6cm and > 9.6cm may have a poorer prognosis than those with a TS of < 4.4cm. The TS-stratified nomogram we constructed and validated has favorable accuracy and calibration precision, and may be helpful in predicting the survival rate of patients.

Prediction of humeral shaft fracture healing using the Radiographic Union Score for HUmeral Fractures (RUSHU).

Though most humeral shaft fractures heal nonoperatively, up to one-third may lead to nonunion with inferior outcomes. The Radiographic Union Score for HUmeral Fractures (RUSHU) was created to identify high-risk patients for nonunion. Our study evaluated the RUSHU's prognostic performance at six and 12 weeks in discriminating nonunion within a significantly larger cohort than before. Our study included 226 nonoperatively treated humeral shaft fractures. We evaluated the interobserver reliability and intraobserver reproducibility of RUSHU scoring using intraclass correlation coefficients (ICCs). Additionally, we determined the optimal cut-off thresholds for predicting nonunion using the receiver operating characteristic (ROC) method. The RUSHU demonstrated good interobserver reliability with an ICC of 0.78 (95% CI 0.72 to 0.83) at six weeks and 0.77 (95% CI 0.71 to 0.82) at 12 weeks. Intraobserver reproducibility was good or excellent for all analyses. Area under the curve in the ROC analysis was 0.83 (95% CI 0.77 to 0.88) at six weeks and 0.89 (95% CI 0.84 to 0.93) at 12 weeks, indicating excellent discrimination. The optimal cut-off values for predicting nonunion were ≤ eight points at six weeks and ≤ nine points at 12 weeks, providing the best specificity-sensitivity trade-off. The RUSHU proves to be a reliable and reproducible radiological scoring system that aids in identifying patients at risk of nonunion at both six and 12 weeks post-injury during non-surgical treatment of humeral shaft fractures. The statistically optimal cut-off values for predicting nonunion are ≤ eight at six weeks and ≤ nine points at 12 weeks post-injury.

Tmax >4 s volume predicts stroke recurrence in symptomatic intracranial atherosclerotic stenosis with optimal medical treatment

BackgroundThe time to maximum (Tmax) profile based on computed tomography perfusion (CTP) provides a quantitative assessment of cerebral hemodynamic compromise. We aimed to delineate the Tmax profile in stroke patients...

In-depth hemodynamic assessment in acute mild stroke patients with large vessel occlusion or stenosis

ObjectiveAcute treatment in mild stroke patients with acute anterior circulation large vessel occlusion/stenosis (AACLVO/S) had limited evidence. Hemodynamic play an important role in neurological deterioration. We aimed to investigate predictor value of hemodynamic assessment for clinical outcome predicting and guiding individual therapeutic decisions in those patients.MethodsWe retrospectively analyze the stroke database in our stroke center. We recruited patients with mild stroke, defined by National Institutes of Health Stroke Scale (NIHSS) score ≤ 5, caused by AACLVO/S treated with just medical management (MT). They all received cerebral autoregulation (CA) assessments within 72 h after stroke onset. The primary end point was clinical outcome at 90-day after stroke.ResultsLogistic regression analysis showed that bilateral higher baseline phase difference (PD) were independent variables related to favorable 90-day outcome, (OR 0.963, 95% CI 0.936–0.991, p = 0.040; OR 0.943, 95% CI 0.970–0.997; p = 0.008, respectively). The optimal cutoff value of bilateral PD was > 34.97º and > 14.29º respectively.ConclusionCA evaluation can provide hemodynamic status in mild stroke patients with AACLVO/S.

The HALP score predicts no-reflow phenomenon and long-term prognosis in patients with ST-segment elevation myocardial infarction after primary percutaneous coronary intervention.

Despite recent advances in the management of ST-segment elevation myocardial infarction (STEMI), the clinical outcome of some patients is still unsatisfactory. Therefore, early evaluation to identify high-risk individuals in STEMI patients is essential. The hemoglobin, albumin, lymphocyte, and platelet (HALP) score, as a new indicator that can reflect both nutritional status and inflammatory state of the body, can provide prognostic information. In this context, the present study was designed to investigate the relationship between HALP scores assessed at admission and no-reflow as well as long-term outcomes in patients with STEMI. A total of 1040 consecutive STEMI patients undergoing primary PCI were enrolled in this retrospective study. According to the best cutoff value of HALP score of 40.11, the study samples were divided into two groups. The long-term prognosis was followed up by telephone. Long-term mortality was significantly higher in patients with HALP scores lower than 40.11 than in those higher than 40.11. The optimal cutoff value of HALP score for predicting no-reflow was 41.38, the area under the curve (AUC) was 0.727. The best cutoff value of HALP score for predicting major adverse cardiovascular events (MACE) was 40.11, the AUC was 0.763. The incidence of MACE and all-cause mortality was higher in the HALP score <40.11 group. HALP score can independently predict the development of no-reflow and long-term mortality in STEMI patients undergoing PCI.

Margin-to-depth ratio as an independent prognostic factor in resected oral cavity squamous cell carcinoma: A nationwide cohort study

BackgroundThe prognostic significance of margin-to-depth ratio (MDR) in oral cavity squamous cell carcinoma (OCSCC) remains unclear, particularly in comparison to traditional margin status. We aimed to examine the association between MDR and clinical outcomes in a large Taiwanese cohort. MethodsA total of 18,324 patients with first primary OCSCC were categorized by margin status: positive (1013), <5 mm (8371), and ≥ 5 mm (8940). Disease-specific survival (DSS) and overall survival (OS) served as the main outcome measures. ResultsAfter excluding patients with positive margins (MDR = 0), the optimal MDR cutoff value for DSS and OS was 0.6. Patients with MDR > 0.6 showed significantly better 5-year DSS and OS rates (87 %, 81 %) compared to those with MDR ≤ 0.6 (71 %, 63 %) and MDR = 0 (53 %, 43 %). Multivariable analysis identified MDR ≤ 0.6 as independently associated with both DSS and OS in the entire cohort (hazard ratio [HR] = 1.34/1.32). This finding was consistent in the subgroups with surgical margins < 5 mm (HR = 1.39 for DSS and 1.38 for OS) and margins ≥ 5 mm (HR = 1.21 for both DSS and OS). In subgroups with surgical margins < 5 mm and ≥ 5 mm, an MDR > 0.6 was associated with better survival outcomes. ConclusionsAn MDR (cutoff: 0.6) is independently associated with prognosis in OCSCC, offering improved risk stratification compared to margin status alone. While MDR may guide surgical margin modification, further research is needed to determine whether MDR could serve as a postoperative indicator for adjuvant therapy in patients with close or clear margins.

Developing an individual depression risk score based on traditional risk factors and routine biochemical markers

BackgroundEarly identification of individuals at high risk for depression is essential for effective implementation of interventions. This study utilized the UK Biobank database to construct an individual depression risk score using nomogram and explored the potential of traditional risk factors and routine biochemical markers for the auxiliary diagnosis of individual depression. MethodsA total of 369,407 participants were included in the study and divided into training and testing sets. LASSO regression was employed to select predictive variables for depression from 16 traditional risk factors and 28 routine biochemical markers. Following variable selection, two multivariable logistic regression models were constructed. Nomograms were then generated to visualize the relationships between these variables and depression risk, and to facilitate the calculation of individual depression risk scores. ResultsTwelve traditional risk factors and nine biochemical markers were selected for model building. Model 1, using only traditional risk factors, achieved the area under the curve (AUC) of 0.913 (95 % CI: 0.910–0.915), while Model 2, incorporating both traditional and routine biochemical markers, yielded an AUC of 0.914 (95 % CI: 0.912–0.917). Based on optimal cut-off values, Model 1 exhibited a sensitivity of 81.99 % and a specificity of 83.76 %, while Model 2 demonstrated a sensitivity of 81.54 % and a specificity of 84.31 %. LimitationsExternal validation is still needed to confirm the model's generalizability. ConclusionsWhile the depression risk scoring model built using traditional risk factors effectively identifies high-risk individuals for depression and demonstrates good clinical performance, incorporating routine biochemical markers did not significantly improve the model's performance.

Low pelvic incidence as a risk factor for vertebral recollapse after percutaneous vertebroplasty in the thoracolumbar region

Background ContextPercutaneous vertebroplasty (PVP) is an effective procedure for treatment of osteoporotic vertebral compression fractures (OVCFs). Recollapse of the cemented vertebrae is not unusual and the thoracolumbar junction is the most common region. Nevertheless, not all patients suffering from OVCFs in this region develop recollapse after PVP. PurposeThe aim of this study was to investigate possible risk factors related to recollapse of the cemented vertebrae in the thoracolumbar region. Study Design/SettingRetrospective study. Patient SampleA total of 161 patients undergoing PVP. Outcome MeasuresClinical outcomes were assessed using Visual Analog Scale (VAS) scores. Radiographic parameters included pelvic incidence (PI), thoracolumbar kyphosis (TLK), kyphotic angle, compression rate, reduction rate, and occurrence of intravertebral cleft (IVC). MethodsPatients were divided into the recollapse group and control group. Patient characteristics, clinical and radiographic parameters were compared between the two groups. Univariate and multivariate logistic regression were used to evaluate the potential risk factors for recollapse. The correlations between the variables were examined. A receiver operating characteristic curve of PI was constructed to discriminate between patients with and without recollapse. ResultsThere were no significant differences in patient characteristics between the two groups except for bone mineral density (BMD). Occurrence rate of IVC was significantly higher in the recollapse group. VAS scores were significantly decreased after PVP. At last follow-up, they were increased in the recollapse group and maintained in the control group. PI was significantly lower in the recollapse group than in the control group. The univariate logistic regression found four possible risk factors for recollapse, including low PI, IVC, low BMD, and high TLK. Further multivariate logistic regression eliminated high TLK from them. The collinear analysis showed low tolerance and high variance inflation factor for preoperative and postoperative TLK, but not for PI, IVC and BMD. PI was a good predictor of recollapse, and the optimal cut-off value was 43°. The magnitude of preoperative and postoperative TLK was significantly correlated with the value of PI. ConclusionsRecollapse of the cemented vertebrae in the thoracolumbar region was related to low PI, IVC and low BMD. PI less than 43° was a good predictor of recollapse. TLK was dependent on PI and not a risk factor for recollapse. In addition to PVP, patients with low PI, IVC and low BMD may require personalized interventions such as combined internal fixation and trunk orthoses.