Optimal Cut-off Value Research Articles

Association between D-dimer-to-albumin ratio and 28-days all-cause mortality in patients with sepsis.

We aimed to investigate the correlation between the serum D-dimer (D-D) to albumin (ALB) ratio (DAR) and 28-day all-cause mortality in patients with sepsis. Data from sepsis patients admitted to the intensive care unit (ICU) of Wuhan Fourth Hospital from October 2021 to January 2024 were collected. Univariate cox analysis was performed for mortality factors in sepsis patients, and multiple cox regression models were used to analyze independent mortality risk factors. The receiver operating characteristics (ROC) curve was used to analyze the value of DAR in predicting sepsis mortality, and the Kaplan-Meier method was used to plot the survival curve. A total of 833 patients with sepsis in the ICU of our hospital were selected and divided into alive group (n = 574) and death group (n = 171) according to their 28-day survival. In the death group, D-D and DAR levels were higher, while ALB levels was lower than in the alive group. Spearman analysis found that DAR level were positively correlated with APACHE II and SOFA scores. Multivariate cox regression analysis showed that DAR was an independent predictor of all-cause mortality within 28 days of admission for sepsis patients (HR = 17.956, 95% CI 3.435-93.851, p < 0.001). The ROC curve results showed that the cut-off value of DAR was 0.068, with a sensitivity of 78.4% and a Youden index of 0.375, predicting mortality in sepsis patients, with an area under curve (AUC) of 0.767 (95% CI 0.744-0.790, P < 0.001). Further analysis divided patients into low DAR (DAR < 0.068) and high DAR (DA ≥ 0.068) groups based on the optimal cut-off value. Kaplan-Meier analysis found higher mortality in the high DAR group. DAR is an independent predictor of all-cause mortality within 28 days of admission in sepsis patients. Combining these two indicators can improve clinical treatment guidance and reduce the risk of death.

Prognostic value of the cholesterol-dependent nutritional prognostic index in patients receiving adjuvant chemotherapy after radical esophageal cancer treatment.

Esophageal cancer is the 6th most common cancer in terms of incidence and the 4th most common cause of mortality in China. Given the limited survival outcomes observed in patients with locally advanced disease managed exclusively with surgical intervention, postoperative treatment is critically important. This study sought to assess the prognostic value of total cholesterol (TC) levels and the prognostic nutritional index (PNI) in patients undergoing postoperative chemotherapy for esophageal cancer. A total of 101 patients who underwent postoesophagectomy chemotherapy were included in this retrospective analysis. PNI values for prechemotherapy were calculated for each patient [PNI = albumin + 5 × lymphocyte count] and TC. The optimal cutoff values for these indices were calculated from the receiver operating characteristic (ROC) curve. Patients were stratified into three groups on the basis of their PNI and TC levels. A novel nutritional prognostic index, termed the cholesterol-dependent nutritional prognostic index (CPNI), was developed on the basis of the PNI and TC. Univariate and multivariate Cox analyses were employed to determine the associations between each indicator and clinical outcomes. The prechemotherapy PNI, TC level, and TNM stage became independent risk factors for OS (p < 0.05). Patients in the high PNI-high TC group had significantly improved DFS and OS compared with those in the low PNI-low TC group (p < 0.001) and had a lower early recurrence rate (P = 0.008). In contrast, patients with a high CPNI had a higher mortality rate. The prechemotherapy PNI combined with TC is an accurate and useful predictor of patient prognosis.

Enhancing bone metastasis prediction in prostate cancer using quantitative mpMRI features, ISUP grade and PSA density: a machine learning approach.

Bone metastasis is a critical complication in prostate cancer, significantly impacting patient prognosis and quality of life. This study aims to enhance bone metastasis prediction using machine learning (ML) techniques by integrating dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) perfusion features, International Society of Urological Pathology (ISUP) grade, and prostate-specific antigen (PSA) density. A retrospective analysis was conducted on 122 patients with histopathologically confirmed prostate cancer who underwent multiparametric prostate magnetic resonance imaging (mpMRI). Quantitative mpMRI features, PSA density, and ISUP grades were extracted and normalized. The dataset was balanced using oversampling and divided into training (70%) and test (30%) sets. Various ML models were developed and evaluated using area under the curve (AUC) metrics. Bone metastases were present in 26 patients (21.3%) at diagnosis. IAUGC and MaxSlope showed a statistically significant association with bone metastasis (p = 0.035, p = 0.050 respectively). The optimal PSA density cut-off value of 0.24 yielded a sensitivity of 0.88, specificity of 0.60, and AUC of 0.77. Machine learning models were developed using the dataset created with IAUGC, MaxSlope, ISUP grade, and PSA density values. Among the ML models, XGBoost demonstrated superior performance with validation and test AUCs of 91.5% and 92.6%, respectively, along with high precision (93.3%) and recall (93.1%). Integrating quantitative mpMRI features, ISUP grade, and PSA density through machine learning algorithms, particularly XGBoost, significantly improves the accuracy of bone metastasis prediction in prostate cancer patients. This approach can potentially reduce the need for additional imaging modalities and associated radiation exposure.

Early prediction of acute-on-chronic liver failure development in patients with diverse chronic liver diseases.

Acute-on-chronic liver failure (ACLF) is a syndrome characterized by the acute decompensation of chronic liver disease, resulting in organ failure and high short-term mortality. The progression of ACLF is dynamic and reversible in a considerable proportion of patients during hospitalization. Early detection and accurate assessment of ACLF are essential; however, ideal methods for this purpose are still lacking. Therefore, this study aimed to develop a new score for predicting the onset of ACLF in patients with various chronic liver diseases.A total of 6,188 patients with various chronic liver diseases were included in the study. Clinical and laboratory data were collected, and the occurrence of ACLF within 28 days was recorded. The Lasso-Cox regression method was employed to develop prediction models for the onset of ACLF at 7, 14, and 28 days.Among 5,221 patients without ACLF, 477 progressed to ACLF within 28 days. Seven predictors were identified as significantly associated with the occurrence of ACLF at 7, 14, and 28 days. A new scoring system was developed as follows: [NEUT ≥ 7, 109/L; 1 or 0] × 0.49 + [PLT < 100, 109/L; 1 or 0] × 0.44 + [TBIL ≥ 35, µmol/L; 1 or 0] × 0.05 + [HDL-C < 0.5, mmol/L; 1 or 0] × 1.04 - Ln[Hb, g/L] × 0.89 + [BUN > 7, mmol/L; 1 or 0] × 0.51 + Ln[INR] × 0.87 + 3.40. This new score demonstrated superior discrimination, with the C-indexes of 0.958, 0.944, and 0.938 at 7, 14, and 28 days, respectively, outperforming those of four other scores (CLIF-C-ACLF-Ds, MELD, MELD-Na, and CLIF-C-ADs score; all P < 0.001). Additionally, the new score improved in predictive accuracy, time-dependent receiver operating characteristics, probability density function evaluations, and calibration curves, making it highly predictive for the onset of ACLF at all time points. The optimal cut-off value of 9.6 effectively distinguished between high- and low-risk patients for ACLF onset. These findings were further validated in a separate cohort of patients. A new progressive score, based on seven predictors, has been developed to accurately forecast the occurrence of ACLF within 7, 14, and 28 days in patients with various chronic liver diseases. This tool may be utilized to identify high-risk patients, tailor follow-up management, and guide the escalation of care, prognostication, and transplant evaluation.

Clinical study of a new nutritional index for predicting long-term prognosis in patients with coronary atherosclerotic heart disease following percutaneous coronary intervention

Abstract Background and Objective Some patients continue to experience major adverse cardiovascular and cerebrovascular events (MACCE) after percutaneous coronary intervention (PCI) in frigid places. Indexes of inflammation and nutrition alone were shown to predict outcomes in patients with PCI. However, the clinical predictive value of mixed indicators is unclear. This study aimed to assess the predictive value of the albumin/neutrophil/lymphocyte ratio (NLR) on the long-term prognosis of patients with coronary heart disease (CHD) following percutaneous coronary intervention (PCI). Methods A total of 608 post-PCI CHD patients were categorized into low- and high-index groups based on the optimal cut-off values for albumin and NLR. The primary outcome was a composite endpoint comprising all-cause mortality and major adverse cerebrovascular events. The secondary outcome was the comparison of the predictive efficiency of the new nutritional index, albumin/NLR, with that of albumin or NLR alone. Results Over the five-year follow-up period, 45 patients experienced the composite endpoint. The incidence of endpoint events was significantly higher in the low-index group (12%) compared to the high-index group (4.9%). Receiver operating characteristic (ROC) curve analysis revealed that the albumin/NLR index had a larger area under the curve (AUC: 0.655) than albumin (AUC: 0.621) or NLR (AUC: 0.646), indicating superior predictive efficiency. The prognostic nutritional index had an AUC of 0.644, further supporting the enhanced predictive value of the albumin/NLR index over individual nutritional and inflammatory markers. Conclusion The albumin/neutrophil/lymphocyte ratio is independently associated with the long-term prognosis of CHD patients post-PCI and demonstrates superior predictive efficiency compared to individual nutritional and inflammatory markers.

The prevalence and clinical correlation factors of cognitive impairment in patients with major depressive disorder hospitalized during the acute phase

ObjectiveThis study aimed to investigate the prevalence of cognitive impairment among patients with major depressive disorder (MDD) hospitalized during the acute phase and to analyze the in-depth association between this cognitive impairment and clinical correlation factors.MethodsIn this cross-sectional study, we recruited 126 patients aged between 18 and 65 years who were diagnosed with MDD. All these patients were inpatients from the Department of Psychiatry at the Second People’s Hospital of Hunan Province. We employed a series of assessment tools, including the Pittsburgh Sleep Quality Index (PSQI), the 16-item Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS-16), the Pre-sleep Arousal Scale (PSAS), the Morningness-Eveningness Questionnaire (MEQ), the Hamilton Anxiety Rating Scale (HAMA), and the 17-item Hamilton Depression Rating Scale (HAMD-17). The patients were divided into a cognitive impairment group and a non-cognitive impairment group based on their scores on the Montreal Cognitive Assessment Scale (MoCA). Through Spearman’s correlation analysis, we explored the correlation between the total MoCA score and the score of each factor. Additionally, we utilized binary logistic regression analysis to investigate the relationship between cognitive impairment and clinically relevant factors in MDD patients hospitalized during the acute phase and plotted ROC curves to evaluate their clinical efficacy.ResultsIn this study, we found that the prevalence of cognitive impairment among MDD patients hospitalized during the acute phase was as high as 63.49%. Through statistical analysis, we observed significant differences between the cognitive impairment group and the non-cognitive impairment group in terms of age, place of residence, education level, and HAMD-17 scores. In the Spearman correlation analysis, we noted the following trends: visuospatial and executive abilities were negatively correlated with the HAMD-17 score (P &amp;lt; 0.05); naming ability was positively correlated with the PSAS score but negatively correlated with the MEQ score (P &amp;lt; 0.05); memory was also negatively correlated with the MEQ score (P &amp;lt; 0.05); attention was negatively correlated with the HAMA score; and abstract cognitive ability was negatively correlated with the MEQ score (P &amp;lt; 0.05). Through binary logistic regression analysis, we further revealed the relationship between cognitive impairment and factors such as living in a rural area (OR = 2.7, 95% CI = 1.083-6.731, P &amp;lt; 0.05), increased age (OR = 1.049, 95% CI = 1.013-1.087, P &amp;lt; 0.01), and the HAMD-17 score (OR = 1.10295, 95% CI = 1.031-11.79, P &amp;lt; 0.01). Additionally, ROC curve analysis demonstrated a significant correlation between the HAMD-17 score and the prediction of cognitive function in MDD patients hospitalized during the acute phase (P &amp;lt; 0.001). Specifically, the AUC for the HAMD-17 score was 0.73, with an optimal cut-off value of 19.5, sensitivity of 70.0%, and specificity of 63.0%. Furthermore, the AUC for age was 0.71, with an optimal cut-off value of 33.5, sensitivity of 59.0%, and specificity of 80.0%.ConclusionsThis study indicates that MDD patients hospitalized during the acute phase have a higher prevalence of cognitive impairment. This phenomenon reflects a significant correlation between clinical factors such as age, sleep-related characteristics, and the severity of depression with cognitive impairment. Therefore, regular assessment of cognitive function in MDD patients and early intervention may be crucial for the treatment and prognosis of the disease.

Development and validation of a prediction model for delayed recovery from anesthesia in elderly lung adenocarcinoma patients underwent thoracoscopic radical resection.

This study aimed to develop and validate a risk prediction model based on real-world data to assess the risk of delayed recovery from anesthesia in elderly lung adenocarcinoma patients underwent video-assisted thoracoscopic (VATS) radical resection. This study is a retrospective study of real-world data. A total of 257 elderly lung adenocarcinoma patients who underwent VATS radical resection from January 2022 to December 2023 in a tertiary hospital in Wuhan were selected. Patients were divided into delayed recovery (n = 42) and non- delayed recovery group (n = 215) according to whether delayed recovery occurred after anesthesia. Lasso regression was used to screen the independent variables. Logistic regression was used to analyze the risk factors of delayed recovery from anesthesia, and a nomogram model was established. Bootstrap method was used to internally verify the nomogram model. Delayed recovery from anesthesia occurred in 42 of 257 elderly lung adenocarcinoma patients underwent VATS radical resection (16.34%). Logistic regression analysis showed that anesthesia duration, intraoperative infusion volume, inhaled desflurane, preoperative respiratory tract infection, intraoperative hypothermia and diagnosed with hypertension were risk factors for delayed recovery from anesthesia in elderly lung adenocarcinoma patients underwent VATS radical resection (P<0.05). The area under receiver operating characteristic curve was 0.869, 95% CI (0.815 ~ 0.923). The optimal cutoff value was 0.198, the sensitivity was 0.738, and the specificity was 0.823. Hosmer-Lemeshow test showed that χ2 = 7.346, P = 0.500. The decision curve analysis results have shown that the threshold probability is between 0.23 and 0.91, and the net benefit rate of the model is good. The risk prediction model constructed in this study can provide reference for medical staff to screen precisely high-risk of delayed recovery from anesthesia in elderly lung adenocarcinoma patients underwent VATS radical resection, which is of great significance.

Body composition-derived abdominal circumference, waist-to-hip ratio, and waist-to-height ratio cut-offs for Ethiopian adults in Northwest Ethiopia, 2023.

Central and general obesity are commonly measured using tools like waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR). However, the universally recognized cutoffs for these measures may be inadequate for individuals of Ethiopian descent. Due to the lack of universally applicable cutoffs, studies recommend tailoring the optimal screening thresholds to each population's specific characteristics. Therefore, this study aimed to determine body composition-based WC, WHR, and WHtR cutoffs for the healthy adult population of Ethiopia. A population based cross-sectional study was conducted in the Amhara region of Ethiopia from June to August 2023, collecting anthropometric and body composition data from 838 adult participants. Data were analyzed using Stata, and MedCalc software. The cut-off values were determined using ROC analysis, and performance was assessed using area under the curve (AUC), Youden index, sensitivity, and specificity. The optimal cut-off values for WC, HC, WHR, and WHtR to define obesity in men were 85.0cm, 93.5cm, 0.89, and 0.53 respectively. Correspondingly, these values in women were 81.1cm, 97.2cm, 0.84, and 0.5. These cutoff values showed the highest effectiveness in defining obesity especially for WC and WHtR. The new proposed cutoff values for waist circumference, hip circumference, and waist-to-height ratio had sensitivity ranging 76-93% and specificity of 83-94% in accurately identifying obesity. The current study also determined the cut-off values for underweight, normal weight, and overweight body weight categories. Accordingly, for men, the WC cut-offs were: ≤ 74.55cm (underweight), 74.56-78.95cm (normal), and 79.0-85.0cm (overweight). For women, the cut-offs were: ≤ 68.25cm (underweight), 68.26-79.59cm (normal), and 79.60-81.10cm (overweight). The WHtR thresholds were: ≤0.43 (underweight), 0.44-0.47 (normal), and 0.48-0.53 (overweight) in men; ≤0.43 (underweight), 0.44-0.50 (normal), and 0.50-0.51 (overweight) in women. The findings indicate that the WC, WHR, and WHtR cutoff values for defining obesity in Ethiopian adults are lower than international standards. The newly proposed cutoff values showed improved sensitivity and specificity, suggesting their potential diagnostic relevance. Considering these country-specific cutoffs may be beneficial for clinical practice and obesity-related research in Ethiopia.

A prognostic nomogram for patients with III-IV nasopharyngeal carcinoma based on dynamic changes in the inflammatory and nutrition index.

The purpose of the study was to explore the value of dynamic changes in inflammatory and nutritional index after comprehensive treatment in patients with stage III-IVA nasopharyngeal carcinoma (NPC). A prognostic model was also established and validated for progression-free survival (PFS) of patients. We retrospectively selected 279 NPC patients with stage III-IVA. Their general clinical data and hematological index were collected and then calculated the changes during treatment. X-tile software was used to determine the optimal cut-off value. COX regression, Lasso method, and Boruta method were used to variable selection and model establishment. Using the bootstrap internal validation method, concordance index (C-index), calibration plot, and Kaplan-Meier curves were used to evaluate the model. To test the prognostic value of the model, we have also evaluated the performance of the nomogram against a conventional tumor metastasis staging system (TNM). Multivariable COX regression analysis demonstrated that clinical staging, delta lymphocyte, delta monocyte, delta albumin, delta platelet-to-lymphocyte ratio and delta systemic immune inflammation index were related to the PFS of NPC patients. The C-index of the model was 0.712, and the calibration curve indicated that the model had good consistency. The C-index of the TNM staging system was 0.597, which was considerably lower compared to our model (P = 0.015). We demonstrated the predictive value of dynamic changes in inflammatory and nutritional indices for the prognosis of NPC by successfully establishing and validating a prognostic model for predicting 1- and 3-year PFS after comprehensive treatment in patients with stage III-IVA NPC.

Usefulness of Glycated Albumin Levels in Predicting the Maternal or Neonatal Complications of Gestational Diabetes Mellitus during Late Pregnancy in South Korea: A Retrospective Study.

Gestational diabetes can lead to complications in pregnant women and neonates. Maternal glycated albumin levels during late pregnancy may help predict complications in both mothers and neonates. This study was conducted in 120 singleton pregnant women diagnosed with gestational diabetes who visited Trinium Woman's Hostipal between July 1, 2020, and June 30, 2022. In this study, the patients' medical records were retrospectively analyzed. Gestational diabetes was diagnosed using a two-step testing method, and glycated albumin tests were performed during the third trimester of pregnancy. The optimal cutoff value of glycated albumin for predicting maternal complications during pregnancy and neonatal complications was determined using the receiver operating characteristic curve. A total of 45 patients developed maternal complications, with cesarean section (39 patients) due to fetal cephalopelvic disproportion being the most common. As for the neonatal complications, eight neonates were macrosomic or overweight, while 15 neonates required neonatal intensive care unit admission. Additionally, 13 patients had concurrent complications affecting both the mother and neonate. The glycated albumin level in patients with complications was 12.87%, which was significantly higher than that in patients without complications (glycated albumin, 11.67%) (P<0.001). The optimal cutoff value of glycated albumin for predicting maternal and neonatal complications was 12.45%. The sensitivity, specificity, and Youden index were 66.7 %, 86.7%, and 0.534, respectively. The third trimester glycated albumin test in mothers with gestational diabetes provides limited predictive value for maternal and neonatal complications.

Abstract 4138417: A Novel Echocardiography Risk Score Predicted Mortality In Patients With Heart Failure With Preserved Ejection Fraction.

Introduction: Patients with heart failure with preserved ejection fraction (HFpEF) exhibit several echocardiographic abnormalities, including diastolic dysfunction, left ventricular (LV) hypertrophy, left atrial enlargement or pulmonary hypertrophy. It is not fully understood how these abnormalities are related with prognosis in HFpEF patients. Hypothesis: A combination of echocardiography parameters can predict clinical outcome in patients with HFpEF. Aims: This study aimed to develop a model to predict all-cause mortality in patients with HFpEF using echocardiography parameters. Methods: We analyzed data from 952 patients (81±9 years, 43% male) registered in the PURSUIT-HFpEF (Prospective, Multicenter, Observational Study of Patients with Heart Failure with Preserved Ejection Fraction) study, a multicenter registry of patients hospitalized for acute decompensated HFpEF. Comprehensive echocardiography was performed before discharge. Patients were randomly assigned to the derivation and validation cohorts (2:1 ratio). Stepwise model selection was performed on age, sex and 26 echocardiography parameters to identify independent predictors of mortality. These predictors were used to construct a risk model for mortality. The accuracy of the risk score was validated using time-dependent ROC curves in both the derivation cohort (n=629) and in the validation cohort (n=323). Results: During the follow-up period (720 days, IQR: 376, 1100 days), all-cause death was observed in 248 patients (26.1%). Age, sex, diastolic (DWS), E/e’ ratio, LV mass index, LV posterior wall thickness (PWth), relative wall thickness (RWT), tricuspid regurgitant pressure gradient (TRPG) were selected as independent predictors of all-cause death. The score shown in the Table was applied to each factor, and the sum of the scores was calculated as the risk score. The AUC of the risk score for predicting 1-year mortality in the derivation cohort was 0.71 and the optimal cut-off value of 4.5 provided a sensitivity and specificity of 62.8% and 69.1%, respectively. The AUC for 1-year mortality in the validation cohort was 0.67. Conclusions: The novel echocardiography score effectively predicted mortality in HFpEF. This model could be a valuable tool for risk stratification.

Abstract 4138237: Clinical Utility of T2 Mapping for the Assessment of Myocardial Inflammation in Patients With Cardiac Sarcoidosis

Introduction: 18 F-FDG PET has been used for the evaluation of active inflammatory lesions in cardiac sarcoidosis (CS), but it is burdensome for patients to perform as a routine follow-up. Late gadolinium enhancement (LGE) on cardiac magnetic resonance (CMR) that can detect myocardial fibrosis is limited in its ability to assess active inflammation. T2 mapping has been shown to detect myocardial inflammation in myocardial diseases without radiation exposure and contrast agents (Figure). However, the ability of T2 mapping for discriminating inflammatory myocardium has not been fully clarified in patients with CS. Hypothesis: We assessed the hypothesis that T2 mapping has potential for the discrimination of inflammatory myocardium in patients with CS. Methods: Twenty-seven subjects who underwent CMR at 3T and 18 F-FDG PET to diagnose CS were enrolled. Fourteen subjects were diagnosed as CS due to LGE and myocardial FDG uptake on 18 F-FDG PET (PET-positive group). Thirteen subjects showed no myocardial FDG uptake (PET-negative group). NativeT1, T2, and extracellular volume fraction (ECV) were measured using a 16-segment model. Receiver-operating characteristic (ROC) curve analysis was performed to evaluate T1 and T2 mapping in discriminating between active and inactive inflammatory segments in the PET-positive group. Results: Mean native T1, native T2 and ECV showed no significant differences between the PET-positive and the PET-negative groups. However, maximum T2 values, which were highest ones in the 16 segments, were significantly higher in the PET-positive group than the PET-negative group (51.3 ± 7.7 ms vs 45.7 ± 3.6 ms, p = 0.014). In the PET-positive group, ROC analysis showed AUC of 0.72 in native T2, 0.61 in native T1, and 0.68 in ECV for discriminating inflammatory myocardium. The optimal cutoff value of native T2 was 45.7 ms, and the diagnostic performance had a sensitivity of 44.4 %, specificity of 93.3 % , positive predictive value of 88.1 %, and negative predictive value of 60.1 %. Conclusion: T2 mapping is a promising approach for the discrimination of inflammatory myocardium without radiation exposure and contrast agents in patients with cardiac sarcoidosis.

Abstract 4131736: Myocardial Work in Patients with Systemic Arterial Hypertension: Correlation with Left Ventricular Mass and Aortic Strain Lidia Capotosto 1,2 , Enrico Mangieri 2 , Gaetano Tanzilli 2 , Giuseppe Placanica 2 , Attilio Placanica 2 , Fabio Miraldi 2 , Antonio Vitarelli 1,21 Department of Echocardiography, Cardiodiagnostica CS, Rome, Italy, 2 Department of Cardiology and Cardiac Surgery, Sapienza

Background: Myocardial work (MW) is a new echocardiography-based diagnostic tool, which allows to quantify left ventricular performance based on pressure-strain loops and has been validated against invasively derived pressure-volume measurements. The purpose of the present study was to analyze whether systemic arterial hypertension is associated with abnormal left ventricular (LV) function assessed by myocardial work and how these changes are related to left ventricular hypertrophy (LVH) and aortic strain. Methods: We examined 86 hypertensive (mean age, 66±14 years, 51% male) and 86 sex- and age-matched healthy controls (mean age, 64±15 years, 53% male). Hypertensive patients were divided into two groups: patients without LVH (group-A) and patients with LVH (group-B, LVMI&gt;115g/m2 men, LVMI&gt;95g/m2 women). All of them had preserved LV ejection fraction. Global LV longitudinal strain (GLS) was calculated by speckle tracking echocardiography. The following indices of MW were assessed: global work index (GWI), global constructive work (GCW), global wasted work (GWW), and global work efficiency (GWE). Corrected circumferential aortic strain (Ao-S) was calculated in the ascending aorta by two-dimensional speckle tracking echocardiography as global aortic strain /pulse pressure. Data analysis was performed offline (GE EchoPAC). Results: GWI and GCW were increased in group-A compared to controls (p&lt;0.05) and decreased in group-B (p=0.04). GWW was increased in group-A(p=0.02) and group-B(p&lt;0.001). GWE was decreased in group-A(p&lt;0.01) and group-B(p&lt;0.005). There was a positive correlation between GWE and Ao-S(r=0.51,p=0.03). GWE was independently associated with GLS(β=0.26,p=0.034), LV mass(β=0.31,p=0.02) and Ao-S(β=0.37,p=0.01) in the whole hypertensive population. At the receiver operating characteristic (ROC) analysis, optimal cutoff values of GWI, GLS, Ao-S, GWE and (GWE+Ao-S) discriminating LV hypertrophy were 0.7329, 0.7613, 0.8011, 0.8442 and 0.8986, respectively. Conclusions: Decreased GWE in systemic hypertension was related to aortic strain and occurred even in the absence of LV hypertrophy. Additional assessment of aortic strain improved the ability of myocardial work variables to differentiate patients with LVH, patients without LVH, and control subjects.

Correlation Between Luteal Phase Serum Progesterone Levels and Pregnancy Outcome in Frozen Embryo Transfer Cycles: A Prospective Cohort Study

Objectives To study the correlation between luteal phase serum progesterone (P4) levels and pregnancy outcome in frozen embryo transfer (FET) cycles and to find out the cut-off level of luteal phase serum P4 which favours successful pregnancy outcome in FET cycles. Material and Methods This prospective cohort study included 100 women undergoing hormone replacement therapy (HRT)-FET cycle at Akanksha IVF Centre from December 2023 to June 2024, fulfilling the inclusion and exclusion criteria. Serum P4 levels were measured for all the patients in the luteal phase (days 21–23) after FET with intramuscular P4 as luteal phase support. Pregnancy outcome was assessed in terms of implantation rate, biochemical pregnancy rate, clinical pregnancy rate (CPR), first-trimester miscarriage rate and ongoing pregnancy rate. Results The most favourable pregnancy outcomes were observed at serum P4 levels 25.1-35 ng/mL. A statistically significant association was seen between the luteal phase serum P4 levels and implantation rate (36.08%), biochemical pregnancy rate (4%), CPR (52%) and ongoing pregnancy rate (42%). According to the receiver operating characteristic (ROC) curve analysis, the optimal cut-off value for favourable outcomes was determined to be 22.3 ng/mL. However, the analysis also indicated that the luteal phase serum P4 levels did not reliably predict clinical or ongoing pregnancy. Conclusion Larger studies are needed to establish a threshold level of serum P4 in the luteal phase that can differentiate between successful and unsuccessful implantation. However, it is still uncertain whether the issue of unsuccessful implantation can be resolved once it is detected on days 21–23 of the HRT-FET cycle.

Abstract 4135938: Angiopoeitin-2 and Mortality in an End-Stage Renal Disease, Heart Failure Population

Introduction: Angiopoeitin-2 (Ang2) is a vascular growth factor involved in regulating angiogenesis and endothelial remodeling. Higher Ang2 levels have been associated with mortality in the general population and among male hemodialysis patients, but its effects on concomitant heart failure with reduced ejection fraction (HFrEF) and end-stage renal disease (ESRD) are unknown. Methods: Plasma samples from 73 ESRD patients and 40 normal healthy patients (NHP) were analyzed for Ang2 concentrations using ELISA. Patient groups were stratified into those with or without HFrEF (EF &lt; 50%). At two years following sample collection, the medical record was reviewed for mortality. The optimal cut-off value for Ang2 to predict all-cause mortality was 1715 pg/mL (AUC 0.706) based on the regression analysis. Statistical analyses included Mann–Whitney U tests, Cox proportional hazards model, and Log-rank (Mantel-Cox) test. Results: Multiple comorbidities were present; coronary artery disease 46%, diabetes 69%, hypertension 97%, and smoking 49%. Patients with one-year mortality had higher Ang2 (Figure 1). Ang2 levels above the optimal cut-off are associated with mortality, both within the entire ESRD sample and within the group with both ESRD and HFrEF (Figures 2-3). In the Cox proportional hazards analysis, Ang2 levels were associated with mortality within the larger ESRD sample (HR=1.001) but not in the group with ESRD and HFrEF. Discussion: Ang2 has potential as a biomarker for prognostication in patients with chronic disease given its association with mortality. Future research should be conducted with larger samples to evaluate if it has prognostic value in individuals with HFrEF without ESRD.

Predictors of adverse outcomes in patients with chronic obstructive pulmonary disease and pulmonary embolism and the predictive value of the simplified pulmonary embolism severity index

Objective: To explore the relevant factors associated with poor prognosis in patients suffering from chronic obstructive pulmonary disease (COPD) combined with pulmonary embolism (PE), and investigate the predictive value of the simplified pulmonary embolism severity index (sPESI) score on adverse outcomes in these patients. Methods: A total of 168 patients with COPD and PE who were treated at West China Hospital of Sichuan University from January 1, 2018, to December 30, 2020 were retrospectively included. Patients were divided into adverse outcome group and control group based on the occurrence of adverse outcomes [any of the following events: in-hospital death, intensive care unit (ICU) admission, and endotracheal intubation]. Correlation factors for poor prognosis were explored using multivariate logistic regression analysis. Receiver operating characteristic (ROC) curve was employed to assess the predictive value of the sPESI score for adverse outcomes in COPD patients with PE. Results: A total of 168 patients were studied, with an age of (73.4±10.4) years and 119 male (70.8%). In the adverse outcome group, there were 18 cases (10.7%), including 12 in-hospital deaths, 6 ICU admission, and 1 endotracheal intubation. The control group comprised 150 cases (89.3%). Statistically significant differences were observed between two groups regarding the proportion of patients with diabetes, nephrotic syndrome, severe pneumonia, respiratory failure and lower extremity edema, and the pulse, diastolic blood pressure, pulse oxygen saturation, lactate dehydrogenase and cholesterol levels (all P<0.05). Multivariate logistic regression analysis revealed that severe pneumonia, respiratory failure, lower extremity edema, and diastolic blood pressure<60 mmHg (1 mmHg=0.133 kPa) are correlative factors of adverse outcomes in patients with COPD complicated by PE [OR (95%CI) were 7.363 (1.053-51.772), 4.077 (1.030-16.133), 4.490 (1.131-17.832), and 8.060 (1.209-53.918), respectively, all P<0.05]. The sPESI score in the adverse outcome group was higher than that in the control group [M (Q1, Q3), 2 (2, 2) vs 1 (1, 2) score, P=0.006]; the optimal cutoff value for sPESI score was 2 score, the sensitivity was 77.8%, the specificity was 54.0%, and the area under the curve (AUC) and 95%CI were 0.681 (0.554-0.809) based on the ROC curve analysis. Patients with sPESI≥2 score exhibited a 4.109-fold (95%CI: 1.292-13.063, P=0.017) increased risk of adverse prognosis compared to those with sPESI<2 score. Conclusions: Patients with COPD combined with PE have a higher incidence of adverse prognostic outcomes. Severe pneumonia, respiratory failure, lower limb edema, and diastolic pressure<60 mmHg are associated factors for poor prognosis. The sPESI score has some value in predicting adverse outcomes in COPD patients with PE.

Respiratory variation of velocity time integral and peak velocity of left ventricular outflow tract for predicting hypotension after induction of general anesthesia in elderly patients.

Hypotension after induction of general anesthesia may lead to severe complications in elderly patients. This study investigated whether the respiratory variation of velocity time integral (ΔVTI) and peak velocity (ΔVpeak) of left ventricular outflow tract (LVOT) could predict hypotension after induction of general anesthesia in elderly patients. 120 elderly patients undergoing selective operation under general anesthesia were enrolled in this study. ΔVTI and ΔVpeak of LVOT were measured by transthoracic echocardiography before induction of general anesthesia. After induction, mean arterial pressure (MAP) was recorded every 1 minute for 15 min. Hypotension was defined as a decrease of more than 30% in MAP at baseline or MAP below 65 mmHg from the start of induction. Receiver operating characteristic curves with gray zone and multivariate logistic regression analysis were used to assess the ability of ΔVTI and ΔVpeak of LVOT to predict hypotension after induction of general anesthesia. Hypotension occurred in 64 (53.3%) patients after induction of general anesthesia. The area under receiver operating characteristic curves (AUC) for ΔVpeak of LVOT to predict hypotension after induction of general anesthesia was 0.811, and the optimal cutoff value was 13.1% with a gray zone of 9.9% to 13.8%, including 45.0% of patients. The AUC for ΔVTI of LVOT was 0.890, and the optimal cutoff value was 13.8% with a gray zone of 11.1% to 13.9%, including 25.8% of patients. After adjusting for confounders, ΔVTI (Odds ratio = 2.24) and ΔVpeak (Odds ratio = 2.09) of LVOT were two significant independent predictors of hypotension after induction of general anesthesia. ΔVTI of LVOT was a reliable predictor of hypotension after the induction of general anesthesia in elderly patients. ΔVpeak of LVOT should be used cautiously to predict hypotension after induction of general anesthesia due to nearly half of elderly patients in the gray zone.Trial registrationThis study was registered in the Chinese Clinical Trial Registry (registration number: ChiCTR2300077117).

Performance of UF-5000 in rapidly screening out urinary tract infection, predicting Gram-negative bacteria infection.

Urine culture is the gold standard for identifying microorganisms in urine. However, the process is time-consuming and usually takes days to get the results, which impedes timely treatment. This study aimed to evaluate the performance of UF-5000 in excluding bacterial urinary tract infection (UTI) and detecting the presence of Gram-negative bacteria. A total of 1,522 urine specimens were subjected to routine urine analysis and culture. Bacteria, white blood cell counts, and UF-5000 bacteria information flags were compared with urine culture. Bacteria forward scatter (B_FSC), and bacteria fluorescent light intensity (B_FLH) parameters were assessed to determine the optimal angle for discriminating bacterial growth patterns, which was verified in the validation cohort. The optimal cut-off values were 42.2/µL and 100.2/µL to rule out UTI for bacteria at ≥104 CFU/mL and ≥105 CFU/mL, respectively. The agreement of UF-5000 bacterial classification and urine culture was fair (Kappa = 0.227). Regarding the discrimination of bacterial groups, "Gram Neg?" was associated with a specificity of 94.0% and a positive predictive value of 87.2% in the detection of Gram-negative bacteria. By estimating the B_FSC and B_FLH parameters, the best angle was 28° for distinguishing Gram-negative and Gram-positive bacteria. Among the 136 urine specimens with the low angle pattern (<28°) in the validation cohort, 127 specimens were confirmed to contain Gram-negative bacteria. The UF-5000 analyzer is a suitable and rapid tool to exclude negative urine specimens, and bacterial information flags for Gram-negative bacteria could be trusted by clinicians.IMPORTANCEThe strength of our study relied on being the first study assessing the bacteria forward scatter (B_FSC) and bacteria fluorescent light intensity (B_FLH) research parameters with a UF-5000 urine analyzer and establishing the best angle for distinguishing Gram-negative and Gram-positive bacteria. When the bacterial scatter plot angle is less than 28°, the possibility of Gram-negative bacterial infection is more than 80%. Meanwhile, we find that UF-5000 bacterial information flags have a significant advantage in detecting Gram-negative bacteria with a specificity of over 90% and a positive predictive value of over 80%.

Determination of optimal cutoff value of ulcerative colitis intestinal ultrasound index to estimate endoscopic improvement in ulcerative colitis.

The ulcerative colitis intestinal ultrasound (UC-IUS) index (UII) has been reported as a sonographic scoring system correlating with the Mayo endoscopic subscore (MES). Endoscopic improvement (EI) of UC (MES ≤ 1) is a crucial therapeutic target in clinical practice. However, the cutoff value for estimating EI using the UII has not been established. We established test and validation cohorts comprising patients with UC undergoing IUS and endoscopy within a 15-day interval at our institution. IUS findings (bowel wall thickness, bowel blood flow, bowel wall structure, haustrations, and inflammatory fat) and endoscopic activity (MES) of each colon segment (ascending, transverse, descending, and sigmoid colon) were assessed. In the test cohort (74 segments), UII was correlated with MES (r = 0.645, p < 0.0001). The median UII was 1.0 and 6.0 among participants with MES ≤ 1 and MES ≥ 2, respectively. A UII of 2 was identified as the threshold for estimating MES ≤ 1 with receiver operating characteristic analysis. In the validation cohort (122 segments), UII was correlated with MES (r = 0.675, p < 0.0001) and the estimation ability of UII ≤ 2 for EI had a positive predictive value of 85.4% and negative predictive value of 79.0%. This estimation ability of UII for EI was numerically lower but not statistically different from the previously reported Milan Ultrasound Criteria and Kyorin Ultrasound Criterion for UC. UII ≤ 2 can be a simple, feasible criterion for estimating EI. Correlation with MES is an advantage of the UII compared with other criteria. Proper use of various sonographic criteria is important.

EXTH-59. ESTABLISHING GAUSSIA LUCIFERASE REPORTER AS A BIOMARKER FOR ESTIMATING THERAPEUTIC RESPONSE AND PROGRESSION-FREE SURVIVAL IN PATIENT-DERIVED XENOGRAFT MODELS OF GLIOBLASTOMA

Abstract Serial monitoring of tumor burden in patient-derived xenograft (PDX) models used for testing new cancer drugs via MRI and other imaging techniques can be costly. We theorized that transducing the Gaussia luciferase (GLuc) reporter gene into glioma PDX models (GliomaPDOX) allows for GLuc to be used as a biomarker for tumor burden. This current study investigates whether changes in the rate of GLuc secretion over time (i.e., “growth rate” changes) can predict survival in GliomaPDOX. Optimal cutoff values to define disease progression via GLuc measurements were established resulting in a strong association between progression-free survival (PFS) and overall survival (OS). The pLenti-CMV-sGluc-T2A-EGFP plasmid was packaged into a second-generation lentiviral system via HEK293FT cells, and the resulting virus transduced into directly-isolated glioma patient cells to establish the MGMT-Unmethylated and MGMT-Methylated GliomaPDOX. MGMT-Unmethylated GliomaPDOX were treated with placebo or Temozolomide (TMZ) until endpoint. MGMT-Methylated GliomaPDOX were treated with placebo or TMZ for three weeks or TMZ for six weeks until endpoint. Treatment response was monitored through GLuc measurements obtained via tail blood collection. The optimal cutoff for time to progression was a 30% increase in GLuc, which yielded a significant positive association between PFS and OS across all models and treatments (R2 = 0.8177, p&amp;lt;0.0001). Compared to the MGMT-Methylated placebo and MGMT-Unmethylated groups, the MGMT-Methylated treatment groups exhibited substantial changes in GLuc growth rates and significantly longer PFS and OS (p&amp;lt;0.0001). More specifically, the six-week MGMT-Methylated TMZ-treated group demonstrated a significant difference in GLuc growth rates and a considerable PFS (p&amp;lt;0.0038) and OS increase (p&amp;lt;0.0049) when compared to the three-week MGMT-Methylated TMZ-treated group. Therefore, GLuc measurement is a valuable biomarker for PDX tumor burden and can be used to estimate treatment response and PFS.