Optimal Cutoff Research Articles

SIR-EN—New Biomarker for Identifying Patients at Risk of Endometrial Carcinoma in Abnormal Uterine Bleeding at Menopause

Objective: This study aimed to evaluate the efficacy of a new biomarker, termed SIR-En, in identifying patients at risk of endometrial carcinoma among those presenting with abnormal uterine bleeding during menopause. Material and Methods: A retrospective case–control analysis was conducted on 242 women with menopausal abnormal uterine bleeding and endometrial thickness ≥ 4 mm. Peripheral blood samples were collected within 7 days before histological diagnosis. systemic inflammatory reaction (SIR) indices were calculated, including NLR, MLR, PLR, and SII. SIR-En was derived by multiplying SII and endometrial thickness. Statistical analyses, including multivariate linear regression and ROC curve analysis, were performed to assess the diagnostic capability of SIR-En. Results: Patients were categorized into endometrial hyperplasia (50 patients) and endometrial cancer (192 patients) groups. The SIR-En index was significantly higher in the carcinoma group (8710 vs. 6420; p = 0.003). The ROC curve for SIR-En had an AUC of 0.6351 (95% CI: 0.5579–0.7121). Using Youden’s method, the optimal SIR-En cutoff was 13,806, showing a specificity of 0.940 and a positive predictive value of 0.957. Conclusions: Combining systemic inflammatory indices with endometrial thickness, the SIR-En index can effectively distinguish between endometrial hyperplasia and carcinoma in menopausal women with abnormal uterine bleeding. Despite the retrospective design, the identified cutoff’s high specificity and positive predictive value support its potential utility in clinical practice. Further prospective studies are required to validate these findings and optimize clinical application.

The Godina Principle in the 21st Century: Free Flap Timing after Isolated Lower Extremity Trauma in a Retrospective National Cohort.

The timing of free flap reconstruction after lower extremity trauma has been a controversial debate since Marko Godina's original 72-hour recommendation. Recent advances in microsurgery warrant an evaluation of the optimal time to reconstruction. The Nationwide Readmission Database (2014-2019) was used to identify patients undergoing free flap reconstruction after lower extremity trauma. Risk-adjusted statistical methods were used to identify optimal time where risk of infectious and microsurgical complications increase and to quantify the risk associated with time delays. A total of 1,030 patients undergoing reconstruction were identified. The mean time to flap coverage was 24.3 days. Thirty-three percent were performed within 72 hours, 24% from 72 hours to 10 days, 18% from 10 to 30 days, and 24% after 30 days. Flaps performed after 10 days were associated with increased risk of surgical site infection, osteomyelitis, and other wound complications, compared with those performed within 72 hours. There was no increased risk in the period of 72 hours to 10 days. Revision amputation and microsurgical complications were not increased after 10 days. The predicted optimal cutoff was 9.5 days for microsurgical complications and 14.5 days for infectious complications. Advances in microsurgery may be responsible for extending the time in which definitive soft tissue coverage is required for wounds resulting from lower extremity trauma. Although it appears the original 72-hour time window can be safely extended, efforts should be made to refer patients to specialty limb salvage centers in a timely fashion.

Predicting the prognosis of patients with renal cell carcinoma based on the systemic immune inflammation index and prognostic nutritional index

The aim of the study was to analyze and discuss the value of preoperative systemic immune inflammation index (SII) and prognostic nutritional index (PNI) in predicting the prognosis of patients with renal cell carcinoma (RCC) after operation, and to establish a nomogram prediction model for patients with RCC after operation based on SII and PNI. From January 2014 to December 2018, 210 patients with RCC who underwent surgical treatment at the Xuzhou Central Hospital were selected as the research object. The receiver operating characteristic curve (ROC) was used to determine the optimal cut-off value for preoperative SII, PNI, LMR, PLR, NLR and the patients were divided into groups according to the optimal cutoff values. The survival rate of patients was evaluated. The risk factors that affect the prognosis of patients with RCC were determined by LASSO and Cox regression analysis, and a prognostic nomogram was constructed based on this result. The bootstrap method was used for internal verification of the nomogram model. The prediction efficiency and discrimination of the nomogram model were evaluated by the calibration curve and index of concordance (C-index), respectively. The average overall survival (OS) of all patients was 75.385 months, and the 1-, 2-and 3-year survival rates were 95.5%, 86.6% and 77.2%, respectively. The survival curve showed that the 5-year OS rate of low SII group was significantly higher than that of high SII group (89.0% vs. 64.5%; P < 0.05), and low PNI group was significantly lower than those in high PNI group (43.4% vs. 87.9%; p < 0.05). There were significant differences between preoperative SII and CRP, NLR, PLR, LMR, postoperative recurrence, pathological type and AJCC stage (P < 0.05). There were significant differences between preoperative PNI and BMI, platelet, NLR, PLR, LMR, postoperative recurrence, surgical mode and Fuhrman grade (P < 0.05). The ROC curve analysis showed that the AUC of PNI (AUC = 0.736) was higher than that of other inflammatory indicators, followed by the AUC of SII (0.718), and the difference in AUC area between groups was statistically significant (P < 0.05). The results from multivariate Cox regression analysis showed that SII, PNI, tumor size, tumor necrosis, surgical mode, pathological type, CRP, AJCC stage and Fuhrman grade were independent risk factors for postoperative death of patients with RCC. According to the results of Cox regression analysis, a prediction model for the prognosis of RCC patients was established, and the C-index (0.918) showed that the model had good calibration and discrimination. The subject’s operating characteristic curve indicates that the nomogram has good prediction efficiency (the AUC = 0.953). Preoperative SII and PNI, tumor size, tumor necrosis, surgical mode, pathological type, CRP, AJCC stage and Fuhrman grade are closely related to the postoperative prognosis of patients with renal cell carcinoma. The nomogram model based on SII, PNI, tumor size, tumor necrosis, surgical mode, pathological type, CRP, AJCC stage and Fuhrman grade has good accuracy, discrimination and clinical prediction efficiency.

Intraoperatively measured prehepatectomy portal vein pressure as a useful predictor of posthepatectomy liver failure.

Predicting posthepatectomy liver failure (PHLF) may be a critical requirement for liver disease patients undergoing hepatectomy. This study retrospectively analyzed the impact of the intraoperatively measured portal vein pressure (PVP) prior to hepatectomy on the prediction of PHLF in hepatectomized patients. A total of 334 hepatectomized patients in whom the PVP was intraoperatively measured before resection at our institution were enrolled in the present study. Outcomes were assessed according to the International Study Group of Liver Surgery definition and the severity of PHLF grading. Thirty-nine of the 334 patients (11.6%) developed grade B/C PHLF. The following factors were significantly associated with grade B/C PHLF in a univariate analysis: indocyanine green retention rate after 15min, Child-Pugh score, prehepatectomy PVP, and transfusion (each P < 0.0001). A prehepatectomy PVP value of 19.5 cmH2O was the optimal cutoff value for predicting grade B/C PHLF. In a multivariate analysis, prehepatectomy PVP (≥ 19.5 cmH2O) was selected as the most relevant risk factor for grade B/C PHLF (P = 0.0003, hazard ratio: 5.96, 95% CI: 1.80-19.70). Prehepatectomy PVP can serve as a useful predictor of the risk of PHLF in patients who have undergone hepatectomy. The results emphasize the possibility of reducing the planned extent of hepatic resection when the prehepatectomy PVP value measured intraoperatively exceeds 19.5 cmH2O, and the importance of predicting the PVP before the operation.

Early prehospital mechanical cardiopulmonary resuscitation use for out-of-hospital cardiac arrest: an observational study

BackgroundThe use of mechanical cardiopulmonary resuscitation device has been very prevalent in out-of-hospital cardiac arrest rescue. This study aimed to investigate whether the timing of mechanical cardiopulmonary resuscitation device set-up correlated with the the outcome of cardiac arrest patients.MethodsWe retrospectively reviewed adult nontrauma cardiac arrest cases in New Taipei City, Taiwan, from January to December 2022. Demographic data, intervention-related factors, and the time variables of mechanical cardiopulmonary resuscitation were collected. The outcomes included the return of spontaneous circulation and 24-hour survival. We compared patients who achieved spontaneous circulation and those who did not with univariate and multivariable regression analyses.ResultsIn total, 1680 patients who received mechanical cardiopulmonary resuscitation were included in the analysis. Reducing the time interval from manual chest compression initiation to device setup was independently associated with the return of spontaneous circulation and 24-hour survival, especially in the subgroup of patients of initial shockable rhythm. Receiver operating characteristic analysis revealed that the outcome of patients with an initial shockable rhythm could be predicted by the mechanical cardiopulmonary resuscitation setup time, with areas under the curve of 60.8% and 63.9% for ROSC and 24-hour survival, respectively. The cutoff point was 395.5 s for patients with an initial shockable rhythm.ConclusionA positive correlation was found between early mechanical cardiopulmonary resuscitation intervention and the outcomes of out-of-hospital cardiac arrest patients. The time between manual chest compression and device setup could predict the return of spontaneous circulation and 24-hour survival in the subgroup of patients with initially shockable rhythm with the optimal cutoff point at 395.5 s.

Evaluating psychological distress in Chinese patients with head and neck squamous cell carcinoma planned for radiotherapy: a cross-sectional study using the distress thermometer.

We aim to estimate the prevalence of baseline clinically significant distress in Chinese patients with head and neck squamous cell carcinoma (HNSCC) before receiving the first radiotherapy and assess factors predictive of distress. One hundred and sixty-eight patients were enrolled to complete a set of questionnaires including Distress Thermometer (DT) and Hospital Anxiety and Depression Scale (HADS). Of these, 131 questionnaires were available for the final analysis. The accuracy of DT was validated using HADS as the gold standard, and receiver operating characteristic (ROC) curves were employed to identify the optimal cutoff score of DT. Distress was reported in sixty-two patients (47%). Patients who were visited in the last week (p = 0.022) and those with medical-related occupations (p = 0.017) were less likely to suffer from psychological distress. Additionally, religious belief was negatively associated with both the DT and HADS-T scores, indicating that patients with religious beliefs were less likely to report high levels of distress (odds ratio (OR) for DT ≥ 4 = 0.291, p = 0.039; OR for HADS-T ≥ 15 = 0.316, p = 0.047). Factors such as age, gender, marital status, education and residency did not contribute to distress levels. DT was significantly correlated with HADS-T (Correlation coefficient (r) = 0.624, p < 0.001) and the best cutoff score of DT was 4 in screening distress. DT was a brief and effective tool to screen distress among HNSCC patients.

Visceral adipose tissue, epicardial fat, and hepatic steatosis in polycystic ovary syndrome: a study of ectopic fat stores and metabolic dysfunction.

In polycystic ovary syndrome (PCOS), ectopic fat accumulation remains debatable. Therefore, intra-abdominal, hepatic, and epicardial fat were compared between PCOS women and body mass index (BMI)-matched controls and their associations with metabolic and hormonal parameters were explored. Furthermore, the performance of echocardiographic epicardial adipose tissue thickness (EATT) and hepatic steatosis measurement using transient elastography-based controlled attenuation parameter (TE-CAP) in screening abdominal visceral adipose tissue (VAT) was originally evaluated. Women aged 18-39 years with BMI < 35 kg/m² were recruited. PCOS was defined by the Rotterdam criteria. All participants underwent clinical and laboratory exams, dual-energy X-ray absorptiometry (DXA), TE-CAP, and echocardiography. A receiver operating characteristic curve was applied to evaluate the accuracy and optimal cutoff values of TE-CAP and EATT in predicting DXA-measured VAT. The study included 35 women with PCOS and 37 controls. PCOS women exhibited higher levels of androgens, insulin resistance (IR) parameters, LDL-cholesterol, triglycerides, VAT, and EATT. VAT correlated with IR and triglycerides, whereas EATT correlated with HDL-cholesterol. In PCOS women aged 18-29, the cutoff values of CAP and EATT for VAT were 198.0 and 3.07, respectively, with CAP showing higher area under the curves (AUC). In PCOS women aged 30-39, the cutoff values were 209.5 and 3.36, respectively, with EATT showing higher AUC. VAT correlates with more metabolic parameters in PCOS than TE-CAP or EATT. TE-CAP is useful for VAT screening in PCOS patients aged 18-39 years, whereas EATT is effective and outperforms CAP in those aged 30-39 years.

Prognostic significance of ER-to-PR difference in ER+/HER2- early breast cancer

ER+/HER2- breast cancer is a common subtype of breast cancer. This study aimed to evaluate the prognostic value of ER-to-PR difference (EPD) in ER+/HER2- early breast cancer (EBC). A retrospective cohort study was conducted, including 3,340 ER+/HER2- EBC patients, divided into a training cohort of 2,873 patients and a validation cohort of 467 patients. The optimal EPD cutoff value for stratifying patients was determined using X-tile. Additionally, the prognostic value of EPD, when combined with other clinicopathological factors, was assessed using the Cox proportional hazards model and five traditional machine learning methods. The optimal cutoff value for EPD was determined as 10%, categorizing patients into EPD-low (ER-PR ≤ 10%) and EPD-high (ER-PR > 10%) expression groups. Patients with EPD-high tumors exhibited a poorer prognosis compared to those with EPD-low tumors. In the multivariate Cox model, EPD was identified as an independent prognostic factor for disease-free survival (DFS) (HR: 1.496, P = 0.004). Integrating EPD with clinicopathological parameters into a predictive model effectively predicts DFS in ER+/HER2- EBC patients. In the most effective CoxPH model, the area under the curve (AUC) values for predicting 3-year, 5-year, and 7-year DFS were 0.718, 0.702, and 0.701, respectively, in the WCH cohort, and 0.770, 0.739, and 0.743, respectively, in the FUSCC cohort. EPD may serve as a novel prognostic marker, allowing for the identification of a population with a poor prognosis in ER+/HER2- EBC, thereby aiding clinical decision-making.

The role of incretins in gestational diabetes: a case-control study on the impact of obesity

BackgroundThis study aimed to evaluate the role of serum Glucagon-Like Peptide-1 (GLP-1), Glucagon-Like Peptide-2 (GLP-2), and Glucose-Dependent Insulinotropic Polypeptide (GIP) levels in relation to obesity and gestational diabetes mellitus (GDM) in pregnancy.MethodsA case-control study was conducted, including 96 pregnant women with singleton pregnancies who underwent the Oral Glucose Tolerance Test (OGTT) for GDM diagnosis during the 24th–28th weeks of gestation. Blood samples were collected for measuring GLP-1, GLP-2, GIP, and fasting glucose. Statistical analyses included receiver operating characteristic (ROC) curves and correlation analysis.ResultsAmong the 96 women, no significant difference in age was observed between the groups, but Body Mass Index (BMI) was significantly higher in GDM-O (Gestational Diabetes Mellitus-Obese) and non-GDM-O groups (p < 0.001). GLP-1 had an area under the curve (AUC) of 0.666 (95% CI: 0.553–0.778, p = 0.005) for diagnosing GDM. The optimal GLP-1 cutoff was 815.86 ng/mL, with 65% sensitivity and 77% specificity. A significant correlation was found between GLP-2 and GIP (r = 0.289, p = 0.004), but no significant correlations were observed between GLP-1 and other peptides or gestational age (p > 0.05).ConclusionsImpaired secretion of GLP-1, GLP-2, and GIP likely contributes to the pathogenesis of GDM. GLP-1 may serve as a potential biomarker for diagnosing GDM.

Maximizing the Structural Stability of the Na-Rich Prussian Blue Analogue Electrode through Charge Cutoff Voltage Regulation.

Prussian blue and its analogues (PB/PBAs) are promising sodium-ion battery cathode materials due to their easy synthesis and excellent discharge capacity. However, their low structural stability poses a challenge. One critical factor affecting stability is the charge cutoff voltage. Increasing this voltage can enhance lithium-ion battery capacity but may reduce cycle retention due to intensified electrode-electrolyte interface reactions. This study investigates whether this phenomenon also applies to sodium-ion batteries and proposes an optimal voltage to improve both the capacity and stability. By cycling between 3.8 and 4.2 V, the charge/discharge profiles and redox reaction intensity were analyzed. The correlation between structural stability and charge cutoff voltage was re-evaluated based on these findings. An optimal charge cutoff voltage of 4.1 V was identified, creating an additional plateau during initial charging and altering Na+ ion positioning to enhance capacity. Enhanced mobility of ions and electrons was observed through a stable solid-electrolyte interphase (SEI) formation. Ex situ X-ray diffraction (XRD) confirmed reversible phase transitions and excellent structural stability. This study underscores the strategic use of charge cutoff voltage to enhance both discharge capacity and structural stability, offering insights for advancing PB/PBA cathode materials with improved stability and capacity.

Effect of follicle-stimulating hormone dose on the risk of being classified as suboptimal responders according to the POSEIDON criteria.

The purpose of this study is to investigate the impact of daily follicle-stimulating-hormone (FSH) dose on the likelihood of suboptimal response to ovarian stimulation (OS) for in vitro fertilization (IVF) according to POSEIDON's criteria. A tri-center retrospective cohort study (2015-2017) including women with normal anti-Müllerian hormone (AMH ≥ 1.2ng/mL) and antral follicle count (AFC ≥ 5) values per POSEIDON's criteria, undergoing their first IVF/ICSI cycle using conventional OS (FSH ≥ 150IU/day). Suboptimal response was the retrieval of 4-9 oocytes. In previous research, we detected an AMH ≤ 2.97ng/mL and AFC ≤ 12 as the optimal cut-offs predicting suboptimal response. Therefore, we examined the effect of daily FSH dose (≤ 300IU versus > 300IU) on suboptimal response risk for each AMH and AFC value within these thresholds (AMH between 1.20 and 2.97ng/mL, by 0.01ng/mL increments; and an AFC between 5 and 12, by unit increments). Analysis involved contingency tables and multivariable logistic regression. Included were 4005 patients with AMH and AFC values in the specific range, among whom 2131 (53.2%) were suboptimal responders. Among 177 AMH groups analyzed, apart from three distributed irregularly, daily FSH doses > 300IU versus lower doses (≤ 300IU) did not decrease suboptimal response risk; similarly, higher doses did not decrease risk at the eight AFC values examined (p > 0.05 for all). Using multivariable logistic regression, FSH doses were not associated with suboptimal response risk. Conversely, female age, AMH, AFC, and gonadotropin type were associated with suboptimal response. In women with AMH values between 1.20 and 2.97ng/mL and/or AFC between 5 and 12, FSH dose increase did not decrease suboptimal response risk. Individualizing the gonadotropin regimen and considering LH activity supplementation to FSH may mitigate risks.

Number of involved nodal stations predicts survival in small cell lung cancer

BackgroundIn small cell lung cancer (SCLC), the pathological N category is identical to it in non-small cell lung cancer (NSCLC) and remains unchanged over a decade. Here we verified the discriminability of number of involved nodal stations (nS) in SCLC and compared its efficacy in predicting survival with currently used pathological nodal (pN) staging.MethodsWe retrospectively analyzed the patients who received operations and were pathologically diagnosed as SCLC at Shanghai Pulmonary Hospital between 2009 and 2019. X-tile software was adopted to determine optimal cut-off values for nS groups. Kaplan–Meier method and Cox regression analysis were used to compare survival between different groups. Decision curve analysis (DCA) was employed to evaluate the standardized net benefit.ResultsA total of 369 patients were included. The median number of sampled stations was 6 (range 3–11), and the median number of positive stations was 1 (range 0–7). The optimal cutoff for nS groups was: nS0 (no station involved), nS1-2 (one or two stations involved), and nS ≥ 3 (three or more stations involved). Overall survival (OS) and relapse-free survival (RFS) were statistically different among all adjacent categories within the nS classification (p < 0.001, for both OS and RFS between each two subgroups), but survival curves for subgroups in pN overlapped (OS, p = 0.067; RFS, p = 0.068, pN2 vs. pN1). After adjusting for other confounders, nS was a prognostic indicator for OS and RFS. The DCA revealed that nS had improved predictive capability than pN.ConclusionsOur cohort study demonstrated that the nS might serve as a superior indicator to predict survival than pN in SCLC and was worth considering in the future definition of the N category.

Global Immune-Nutrition-Inflammation Index as a novel comprehensive biomarker in predicting the radiation-induced trismus rates in locally advanced nasopharyngeal carcinoma patients.

In this study, we aimed to evaluate whether the novel pretreatment Global Immune-Nutrition-Inflammation Index (GINI) can predict radiation-induced trismus (RIT) in locally advanced nasopharyngeal carcinoma (LA-NPC) patients undergoing concurrent chemoradiotherapy (CCRT). Data of LA-NPC patients presenting without RIT were reviewed retrospectively. Any post-CCRT maximum mouth openings (MMO) ≤ 35 mm were considered RIT. The GINI index was calculated using the formula: GINI = (CRP x Monocytes x Platelets x Neutrophils) ÷ (Albumin x Lymphocytes). We used receiver operating characteristic (ROC) curve analysis to examine the potential correlation between pretreatment GINI measures and post-CCRT RIT status. Logistic regression analysis examined the independence of the association between confounding factors and RIT rates. The study comprised 230 participants, and 52 (22.6%) received an RIT diagnosis. The optimal pre-CCRT GINI cutoff that dichotomizes RIT rates was determined to be 1,424 (area under the curve [AUC]: 76%; sensitivity: 75.0%; specificity: 71.7%; J-index: 0.463). RIT incidence was significantly higher in the GINI ≥ 1424 group than in its GINI < 1424 counterpart (43.3% vs. 9.3%; hazard ratio: 4.76; P < 0.001). Multivariate logistic regression analysis revealed that a pre-CCRT GINI ≥ 1424 was an independent predictor of increased RIT rates after definitive CCRT in this patient group (P < 0.001). In conclusion, the present results revealed that elevated pre-CCRT GINI measures (≥ 1424) can efficiently and independently predict elevated RIT rates in LA-NPC patients after CCRT.

Malnutrition is associated with severe outcome in elderly patients hospitalised with COVID-19

Some studies have identified influencing factors of COVID-19 illness in elderly, such as underlying diseases, but research on the effect of nutritional status is still lacking. This study retrospectively examined the influence of nutritional status on the outcome of elderly COVID-19 inpatients. A retrospective analysis of the clinical data of 4241 COVID-19 patients who were admitted to a third-class hospital of Nanchang between November 1, 2022 and January 31, 2023 was conducted. Nutritional status was assessed using the prognostic nutritional index (PNI) and controlling nutritional status score (CONUT). The influence of nutritional status on the outcome of COVID-19 patients was determined through multivariate adjustment analysis, restrictive cubic spline, and receiver operating characteristic curve (ROC). Compared with mild/no malnutrition, severe malnutrition substantially increased the critical outcome of COVID-19. A linear relationship was observed between the odds ratio (OR) and PNI and CONUT (P > 0.05). The area under the ROC curve indicated that PNI was the better predictor. The optimal cutoff value of PNI was 38.04 (95%CI: 0.797 ~ 0.836, AUC = 0.817), with a sensitivity of 70.7% and a specificity of 79.6%. The critical illness of elderly COVID-19 patients shows a linear relationship with malnutrition at admission. The use of PNI to assess the prognosis of COVID-19 eldeely patients is reliable, highlighting the importance for doctors to closely pay attention to the nutritional status of COVID-19 patients. Focusing on nutritional status in clinical practice can effectively reduce the critical illness of elderly COVID-19 patients.

P17.01.A ANAMNESTIC RADIOLOGICAL METASTASES OUTCOME SURGICAL SCORE (ARMO-S). A PURPOSE OF A PREDICTIVE SCORING SYSTEM FOR SURGICAL BRAIN METASTASES

Abstract BACKGROUND Several risk stratification scores have been suggested to aid prognostication and guide treatment strategies for brain metastases (BMs). However, the current scores do not focus on the specific neurosurgical population, therefore not predicting short-term mortality and postoperative performance status. MATERIAL AND METHODS This retrospective observational study of 362 consecutive patients treated with surgery for BMs aims to identify the factors associated with post-surgical outcomes and propose a surgery-specific prognostic score for patients with BMs candidate for open surgery. RESULTS Factors significantly associated with OS and performance status in multivariate analysis were age, KPS, surgical site, synchronous debut of BM, number, tumor volume, seizure, extra-cranial metastases, and deep-seated location. The variables were incorporated into the Anamnestic Radiological Metastases Outcome Surgical score (ARMO-S). The values range between 0 and 10. Patients were divided into two groups (low-risk and high-risk) based on each significant subgroup’s median survival and performance status with an optimal cutoff value determined as 4. The two groups have significant differences in OS (9.6 versus 14 months, p = 0.0048) postoperative KPS (90 versus 70, p=0.012) and KPS at last follow-up evaluation (75 versus 30, p&amp;lt;0.001) CONCLUSION ARMO-S is a simple and comprehensive score for BM patients selected for neurosurgery, as it incorporates the main factors of the most important prognostic scores, implementing them with more surgery-specific predictive elements such as tumor location and volume, presence of seizures at onset, and involvement of eloquent brain areas.

Neutrophil-to-Lymphocyte Ratio is Associated with Clinical Outcomes in Patients Treated with Mechanical Thrombectomy for Posterior Circulation Large Vessel Occlusion

To investigate the potential of composite inflammatory markers, including the neutrophil-to-lymphocyte ratio (NLR), in predicting outcomes in patients with posterior circulation large vessel occlusion who underwent mechanical thrombectomy (MT). We included patients who underwent MT for posterior circulation large vessel occlusion between February 2016 and December 2021. We then assessed composite inflammatory markers on day 1 post-MT. The primary outcome was the modified Rankin Scale score at 3 months (favorable score: 0 -3). The primary safety measure was 3-month mortality. Receiver operating characteristic (ROC) curve analysis determined each marker's predictive values and optimal cutoff values. Multivariable regression analysis assessed the relationship between markers and outcomes. We included a total of 137 patients (median age: 71 years, 26% females, median National Institutes of Health Stroke Scale [NIHSS] score: 23). NLR demonstrated the best predictive value for the prognosis of patients with posterior circulation large vessel occlusion who underwent MT. ROC analysis identified an optimal NLR cutoff of 12.5 (area under curve [AUC]: 0.741, 95% confidence intervals [CIs]: 0.652-0.830) for favorable outcomes and 14.1 (AUC: 0.764, 95% CIs: 0.662-0.865) for predicting death. Multivariate analysis determined an NLR <12.5 as an independent predictor of favorable post-MT outcomes (odds ratio [OR]: 10.43, 95% CIs: 3.85-28.29, p <0.001), and NLR <14.1 as an independent predictor of post-MT survival (OR: 0.09, 95% CIs: 0.03-0.25, p <0.001). Among the assessed markers, NLR emerged as the strongest predictor of clinical outcomes following MT for posterior circulation large vessel occlusion.

Comparing ultrasound-derived fat fraction and MRI-PDFF for quantifying hepatic steatosis: a real-world prospective study.

To compare the agreement between ultrasound-derived fat fraction (UDFF) with magnetic resonance proton density fat fraction (MRI-PDFF) for quantification of hepatic steatosis and verify its reliability and diagnostic performance by comparing with MRI-PDFF as the reference standard. This prospective study included a primary analysis of 191 patients who underwent MRI-PDFF and UDFF from February 2023 to February 2024. MRI-PDFF were derived from three liver segment measurements with calculation of an overall median PDFF. UDFF was performed by two different sonographers for each of the six measurements, and the median was taken. Intraclass correlation coefficient (ICC) and Bland-Altman analysis were used to assess agreement. Receiver operating characteristics (ROC) curves were used to evaluate the diagnostic performance of UDFF in detecting different degrees of hepatic steatosis. A total of 176 participants were enrolled in the final cohort of this study (median age, 36.0 years; 82 men, 94 women). The median MRI-PDFF value was 11.3% (interquartile range (IQR) 7.5-18.9); 84.7% patients had a median MRI-PDFF value ≥ 6.4%. The median UDFF measured by different sonographers were 9.5% (IQR: 5.0-18.0) and 9.0% (IQR: 5.0-18.0), respectively. The interobserver agreement of UDFF measurement was excellent agreement (ICC = 0.951 [95% CI: 0.934-0.964], p < 0.001). UDFF was positively strongly correlated with MRI-PDFF with ICC of 0.899 (95% CI: 0.852-0.930). The Bland-Altman analysis showed high agreement between UDFF and MRI-PDFF measurements, with a mean bias of 1.7% (95% LOA, -8.7 to 12.2%). The optimal UDFF cutoff values were 5.5%, 15.5% and 17.5% for detecting MRI-PDFF at historic thresholds of 6.4%, 17.4%, and 22.1%, with AUC of 0.851, 0.952, and 0.948, respectively. The sensitivity was 79.2%, 87.5%, 88.9%, and specificity was 81.5%, 90.6%, 90.0%, respectively. UDFF is a reliable and accurate method for quantification and classification of hepatic steatosis, with strong agreement to MRI-PDFF. The UDFF cutoff values of 5.5%, 15.5%, and 17.5% provide high sensitivity and specificity for the detection of mild, moderate, and severe hepatic steatosis, respectively. Question Is ultrasound-derived fat fraction (UDFF) reliable for the quantitative detection of hepatic steatosis compared to MRI proton density fat fraction (MRI-PDFF)? Findings UDFF cutoff values of 5.5%, 15.5%, and 17.5% provided high sensitivity and specificity for the detection of mild, moderate, and severe hepatic steatosis, respectively. Clinical relevance UDFF is a reliable and accurate method for quantification and classification of hepatic steatosis, with strong agreement to MRI-PDFF and high reproducibility of liver fat content by different sonographers.

Prognostic Value of Speckle Tracking Echocardiography-Derived Strain in Unmasking Risk for Arrhythmias in Children with Myocarditis.

Background/Objectives: Risk assessment in pediatric myocarditis is challenging, particularly when left ventricular ejection fraction (LVEF) is preserved. This study aimed to evaluate LV myocardial deformation using speckle-tracking echocardiography (STE)-derived longitudinal +strain (LS) and assessed its diagnostic and prognostic value in children with myocarditis. Methods: Retrospective STE-derived layer-specific LV LS analysis was performed on echocardiograms from patients within the multicenter, prospective registry for pediatric myocarditis "MYKKE". Age- and sex-adjusted logistic regression and ROC analysis identified predictors of cardiac arrhythmias (ventricular tachycardia, ventricular fibrillation, atrioventricular blockage III°) and major adverse cardiac events (MACE: need for mechanical circulatory support (MCS), cardiac transplantation, and/or cardiac death). Results: Echocardiograms from 175 patients (median age 15 years, IQR 7.9-16.5 years; 70% male) across 13 centers were included. Cardiac arrhythmias occurred in 36 patients (21%), and MACE in 28 patients (16%). Impaired LV LS strongly correlated with reduced LVEF (r > 0.8). Impaired layer-specific LV LS, reduced LVEF, LV dilatation, and increased BSA-indexed LV mass, were associated with the occurrence of MACE and cardiac arrhythmias. In patients with preserved LVEF, LV LS alone predicted cardiac arrhythmias (p < 0.001), with optimal cutoff values of -18.0% for endocardial LV LS (sensitivity 0.69, specificity 0.94) and -17.0% for midmyocardial LV LS (sensitivity 0.81, specificity 0.75). Conclusions: In pediatric myocarditis, STE-derived LV LS is not only a valuable tool for assessing systolic myocardial dysfunction and predicting MACE but also identifies patients at risk for cardiac arrhythmias, even in the context of preserved LVEF.

Validation of Neutrophil gelatinase-associated lipocalin (NGAL) for Diabetes-associated Acute Kidney Injury

Abstract Introduction/Objective This study aimed to evaluate the analytical and clinical performance of the BioPorto NGAL Test on the Beckman Coulter AU480 to correlate plasma neutrophil gelatinase-associated lipocalin levels (pNGAL) with clinical progression and severity of diabetes-associated acute kidney injury (AKI) with hospitalized patients at an East Central Georgia Medical Center Methods/Case Report Analytical validation of the BioPorto NGAL Test was carried out on the AU480 and was based on imprecision, limit of blank, limit of detection, functional sensitivity, carryover, and specificity. Clinical validation studies included 45 patients hospitalized between January and November 2023 with and without diabetes at risk for developing AKI. All patients’ pNGAL levels were measured at admission until 96 hours post admission. Receiver operating characteristics and likelihood ratio methods were used to determine optimal sensitivity, specificity, cutoff value, and the discriminatory power of pNGAL. Results (if a Case Study enter NA) The intra-assay and inter-assay imprecision percent relative standard deviation was between 0.8 (2.7%) and 3.7 (4.2%). The limit of blank and limit of detection of Bioporto NGAL was 2.2 ng/mL and 15.4 ng/mL, respectively. An analytical coefficient of variation of 20% corresponded to a pNGAL value of 9.9 ng/mL. The optimal cutoff value for pNGAL to predict AKI for patients with DM was 293 ng/mL, with a sensitivity of 80% and specificity of 87%; AUC: 0.85, p &amp;lt; 0.001. In a multivariate logistic regression model, pNGAL levels at 48 hours post admission were a risk factor for diabetes-associated AKI (OR 1.012, 95% CI:1.000 – 1.023; p = 0.051). Conclusion These results show that pNGAL levels at 48h are an independent risk factor for diabetes-associated AKI, and the optimal cutoff for this condition is 293 ng/mL. The optimal cutoff values for AKI for early diagnosis and risk stratification, along with its association with comorbidities, are important to improve patient outcomes and diagnosis accuracy.

Predictive values and correlation of CRIB Score II and perfusion index in assessment of severity of illness in sick preterm neonates: An observational study.

Perfusion index (PI) and CRIB (Clinical risk index of babies) Score II both are minimally invasive tools for prediction of mortality and morbidity in sick neonates. This study aims to know the predictive values of both PI and CRIB Score II in assessment of severity of illness in preterm neonates of 28 to 32 weeks and their correlation. PI and CRIB II Score of 125 sick preterm neonates admitted in NICU were assessed within 12 hours of admission. Severity noted in form of outcome. Correlation between PI and CRIB Score II were observed. Receiver operating characteristic (ROC) curve were plotted for PI and CIRB Score II with outcome (discharged vs expired). Area under curve for perfusion index was 0.776 at 95% confidence interval. Optimum cutoff point based on ROC curve was 1.65 with sensitivity of 84%., specificity of 37.2% with positive predictive value of 70% and negative predictive value of 57%. Area under curve for CRIB Score II was 0.622 (p value < 0.028), optimum cut off point based on ROC curve for CRIB II score was 3.5 with sensitivity 79.10% of specificity of 40% positive predictive value is 43.03% and negative predictive value of 76.9%. Spearman's correlation coefficient between PI and CRIB II score was -0.272 and p value is 0.002. This study concluded that perfusion index (p < 0.001) is better for predicting the severity compared to CRIB II score (p < 0.028). A weak negative correlation exists between PI and CRIB II score (r = -0.272).