Correlation Factor Research Articles

Measuring the dark triad: a meta-analytical SEM study of two prominent short scales

This research examines the factor structure and psychometric properties of two well-known Dark Triad personality trait questionnaires: the Short Dark Triad (SD3) and the Dirty Dozen (DD). By analyzing data from 11 (SD3) and 5 (DD) carefully selected studies in the United States and Canada, this meta-analysis uncovers unexpected correlations among questionnaire items, challenging existing assumptions. The study employs a two-stage structural equation modeling approach to evaluate various measurement models. Conventional models, such as the correlated factor and orthogonal bifactor models, fail to explain the irregular correlations. For Dirty Dozen items, a bifactor-(S·I-1) model is more suitable than the orthogonal bifactor model, significantly affecting interpretation. On the other hand, the complex structure of the SD3 necessitates item revision to enhance reliability, discriminant validity, and predictive validity. These findings emphasize the need for refining and clarifying concepts in item revision. Furthermore, the research highlights the overlap between Machiavellianism and psychopathy, particularly in relation to revenge-related items, suggesting the need for differentiation between these traits or the identification of distinct core characteristics.

A New Anti-Interfering Platelet Counting Technology Utilizing Conventional Impedance and White Blood Cell Differential Channel.

Accurate platelet (PLT) counting is crucial for disease diagnosis and treatment, especially under the condition of thrombocytopenia and platelet transfusion. A few PLT counting approaches have been established including impedance and fluorescent methods. The impedance PLT counting (PLT-I) approach could be interfered by small non-PLT particles in the blood, such as RBC/WBC fragments, microcytes, bacteria, and cryoglobulins. The fluorescent PLT counting methods provide a more accurate but rather costly option. Thus, it is highly desirable to develop a new economic-friendly approach with accurate platelet count. In this study, we introduced a novel hybrid PLT counting (PLT-H) strategy to combine the count of smaller-sized PLTs from impedance channel and larger-sized PLTs from conventional white blood cell (WBC) channel to realize a low-cost PLT count with high accuracy. Blood samples with different PLT levels and no significant interfering factors (confirmed by blood smear) were collected. The PLTs were counted with BC-6800Plus (PLT-I) and compared with the PLT counts from the CD41/CD61 immunoplatelet (immunoPLT) reference method using Beckman Coulter FC-500 flow cytometer. In addition, the morphology and internal structure of PLT treated with hemolytic agents of conventional WBC channel was observed with phase contrast microscopy and electron microscopy. Then the counting accuracy of PLT-H was assessed by comparing PLT count results between BC-720 (PLT-H) and the CD41/CD61 immunoPLT reference method. By comparing PLT-I with immunoPLT, it was found that the impedance PLT counting result will not be interfered by small non-PLT particles when the size of PLT smaller than 10 fL. For large PLT (> 10 fL), PLT count in conventional WBC channel shows good correlations with immunoPLT. Furthermore, after treated with hemolytic agents the PLT still preserves an intact cellular structure and swells slightly, while RBCs are lysis and disappeared upon hemolytic treatment. Lastly, the novel PLT-H result exhibits a good correlation with immunoPLT with a high correlation factor (r = 0.9911). The new PLT counting method PLT-H achieves high accuracy in blood samples with low-cost, and it provide a novel strategy of combining traditional methods for high accurate counting in hematology laboratories.

Load Sensitivity Correlation Factor-Based Steady-State Power Flow Allocation Method for Independent DC Bus Structure Multiport Power Electronic Transformer

The independent DC bus structure multiport power electronic transformer (IDBS-MPET) is a novel power electronic transformer designed to integrate multiple DC sources and DC loads. Due to the configuration of DC ports, which are directly constructed by the parallel connection of dual active bridge (DAB) converters, the distribution of DC sources and DC loads among the three phases becomes unbalanced. In cases where the load power at certain ports is too high, this imbalance may lead to the over-modulation of the front-end H-bridge (HB). Since the output power at a certain port in the IDBS-MPET is constrained by the loads at other ports, this paper proposes a multiport steady-state power flow allocation method. This method establishes the load sensitivity correlation factor to enable all the ports to adjust power cooperatively based on it. By applying the proposed steady-state power flow allocation method, iterative calculations continuously update the priority of all the ports and their load sensitivity correlation factors. This process ensures that the power flow converges to a steady-state solution. Simulation results for two different IDBS-MPETs demonstrate that the power flow at all the ports effectively meets load requirements, while the front-end HB avoids over-modulation, ensuring the safe and stable operation of the IDBS-MPET. The results validate the effectiveness of the proposed steady-state power flow allocation method.

Socioeconomic status correlates with COVID-19 vaccination coverage among primary and secondary students in the most populated city of Chile

The burden of COVID-19 was heterogeneous, indicating that the effects of this disease are synergistic with both other non-communicable diseases and socioeconomic status (SES), highlighting its syndemic character. While the appearance of vaccines moderated the pandemic effects, their coverage was heterogeneous too, both when comparing different countries, and when comparing different populations within countries. Of note, once again SES appears to be a correlated factor. We analyzed publicly available data detailing the percentage of school-aged, vaccinated children in different municipalities belonging to the Metropolitan Area (MA) of Santiago, Chile. Vaccination data was compiled per school type, either public, state-subsidized, or private, at three different dates during the COVID-19 pandemic to cover the dispersion of Delta, Omicron, and its subvariants BA.4 and BA.5. We computed the median vaccination ratio for each municipality and school type and calculated their Spearman’s rank correlation coefficient with each one of nine SES indices. The percentage of school-age children who received vaccinations against COVID-19 correlates with SES. This strong correlation is observed in public and state-subsidized schools, but not in private schools. Although inequity in vaccination coverage decreased over time, it remained higher among students enrolled either in public or state-subsidized schools compared to those of private schools. Although available data was insufficient to explore plausible causes behind lower vaccination coverage, it is likely that a combination of factors including the lack of proper information about the importance of vaccination, the lack of incentives for children’s vaccination, low trust in the government, and limited access to vaccines for lower-income people, may all have contributed. These findings raise the need to design better strategies to overcome shortcomings in vaccination campaigns to confront future pandemics.

Molecular Stratification of Light-Chain Cardiac Amyloidosis With 18F-Florbetapir and 68Ga-FAPI-04 for Enhanced Prognostic Precision.

Cardiac involvement in amyloid light chain (AL) amyloidosis significantly influences prognosis, necessitating timely diagnosis and meticulous risk stratification. This prospective study aimed to delineate the molecular phenotypes of AL cardiac amyloidosis (AL-CA) by characterizing fibro-amyloid deposition using 18F-florbetapir and gallium-68-labeled fibroblast activation protein inhibitor-04 (68Ga-FAPI-04) positron emission tomography (PET)/computed tomography (CT) imaging. The authors also proposed a novel molecular stratification methodology for prognosis. Patients with confirmed AL-CA underwent echocardiography and 18F-florbetapir and 68Ga-FAPI-04 PET/CT imaging. Cardiac amyloid burden was quantified as 18F-florbetapir cardiac amyloid volume and total cardiac amyloid. Meanwhile, cardiac fibroblast activation protein (FAP) was quantified as 68Ga-FAPI-04 cardiac FAP volume (CFV) and total cardiac FAP (TCF). PET/CT metrics were calculated in correlation to clinical and echocardiographic markers and their association with overall survival (OS) evaluated. Among the 38 patients enrolled (median age: 58 years; 76.3% male), all patients exhibited amyloid deposition, and 86.8% (33 of 38) patients exhibited cardiac fibroblast activation. Cardiac amyloid burden was correlated with Mayo stage and several echocardiography metrics (P< 0.05). In addition, there was a correlation between CFV and N-terminal pro-B-type natriuretic peptide level (P< 0.05). Thirteen deaths occurred over a median follow-up of 24.8months. Higher CFV and TCF were associated with shortened OS, particularly in Mayo stage III. In multivariable analysis, higher TCF was a primary determinant for shortened OS. The study underscores that higher TCF on 68Ga-FAPI-04 PET/CT imaging might be a correlated factor of worse clinical outcome in newly diagnosed AL-CA, and this metric seems to be a molecular imaging tool complementary to 18F-florbetapir imaging. The combination might offer a holistic understanding of molecular attributes, assisting in clinical decision-making.

Thermodynamic and Kinetic Assessment of Cobalt II Adsorption Using Green Synthesized NiO/γ-Al2O3 Nanoparticles

Introduction: Disposal of heavy metals into the water as a result of industrial development might cause a threat Health and the environment. aim of this study was to assess the uptake of Co2+ from aqueous solutions via NiO/ γ-Al2O3 nano catalysts. Methods: The main variables that affect the percentage of metal removal were assessed. It took about 50 minutes to attain equilibrium for the elimination of Co+2 ions. It was discovered that raising the adsorbate concentration and increasing the surface weight somewhat lowered the removal of cobalt ions. Results: The removal of cobalt ions was shown to depend on temperature,due to ecothermic natural of this prosess increasing temperature associated with decrease the elemination . Conclusions: The adsorption seems to be spontaneous, exothermic, and less random according to calculated values of the thermodynamic functions (∆G, ∆H, and ∆S) of the adsorption. After the data were fitted into a number of kinetic models, including the Elovich model, pseudo-first order, pseudo-second order, and intraparticle diffusion equations, it was discovered that the pseudo-second-order model performed the best at describing the adsorption, with a high correlation factor (R2).

Indoor Multi-Different-Wall Path Loss Prediction Model Using Adaptive Neuro-Fuzzy Inference System

The efficiency of wireless systems is heavily dependent on the precision of the propagation channel model. Accurate prediction of signal path loss is an essential process in planning and optimizing radio networks. In this paper, a new indoor path loss prediction model - utilizing the Adaptive Neuro-Fuzzy Inference System (ANFIS) approach - is proposed. The proposed model takes into consideration the effect of different indoor barriers or wall types, in addition to other essential factors, on the propagation channel to obtain precise prediction in buildings with hybrid walls or partitions. On-site recorded WiFi data is used to build and verify the proposed model. To minimize modeling errors, a hybrid training method is employed, and the input membership functions of the model are optimized. The proposed ANFIS model is compared with the Cost-231 propagation model after it has been calibrated using a multilinear regression approach. The comparison indicates the superiority of the proposed model in terms of precision and accuracy. The obtained results show that the new model has a lower root mean square error and standard deviation with a higher correlation factor of 98%. The proposed ANFIS model produces precise indoor WiFi prediction and promotes accurate forecasting of other frequency bands - such as UMTS and GSM - in buildings with different interior structures.

Emerging Implications of Serum Resolvin D2 as a Biochemical Marker for Severity Assessment and Prognosis Prediction Following Moderate-Severe Traumatic Brain Injury: A Prospective Cohort Study.

Resolvin D2 (RvD2), which exhibits anti-inflammatory properties, is neuroprotective. This study aimed to ascertain the potential of serum RvD2 level as a prognostic predictor of moderate-to-severe traumatic brain injury (msTBI). In this prospective cohort study, serum RvD2 levels were measured in 136 patients with msTBI and 100healthy controls. The severity scoring systems encompassed the Rotterdam computed tomography classification and Glasgow Coma Scale (GCS). Post-trauma six-month Glasgow outcome scale (GOS) was deemed an outcome indicator, with GOS scores below 4 indicating poor prognosis. Sequential univariate and multivariate analyses were used to determine the correlative factors of changeable serum RvD2 levels and the predictors of adverse prognosis. Patients displayed a marked decline in serum RvD2 levels compared to controls (median, 95.2 versus 252.8 pg/mL; P<0.001). Serum RvD2 levels were independently correlated with GCS scores (beta, 8.989; 95% confidence interval (CI), 3.678-14.280; P=0.001) and Rotterdam scores (beta, -14.676; 95% CI, -25.885--3.468; P=0.011), and were independently associated with continuous GOS scores (beta, 0.004; 95% CI, 0.002-0.007; P=0.003), ordinal GOS scores (odds ratio, 1.008; 95% CI, 1.002-1.015; P=0.015), and poor prognosis (odds ratio, 0.991; 95% CI, 0.983-0.999; P=0.037) at the six-month mark. A linear correlation was observed between serum RvD2 levels and the likelihood of poor prognosis (P for nonlinear = 0.090). Serum RvD2 levels exhibited strong discrimination efficiency for the probability of poor prognosis (P<0.001), with similar ability as Rotterdam scores (P=0.337) and GCS scores (P=0.300). The integrative model encompassing serum RvD2, Rotterdam scores and GCS scores performed well using a series of statistical methods. A significant decrease in serum RvD2 levels after msTBI may accurately indicate trauma severity and efficiently distinguish the possibility of poor neurological outcomes in msTBI, signifying that serum RvD2 may be of clinical significance in the prognostic prediction of TBI.

The Relationship between Constructivist Thinking and Academic Engagement among University Students in Light of Some Variables

This paper focuses on revealing the relationship between constructivist thinking and academic engagement among university students in light of some variables. To achieve the objectives, a sample of 697 male and female students was selected using available sample method at the Qasimi Academic College of Education. The correlational approach was used. The constructive thinking scale and measure of academic participation were applied. The results showed a statistically significant positive correlation between academic participation and constructive thinking dimensions. The results also showed a statistically significant negative correlation between academic participation and destructive constructive thinking dimensions. The results indicated that there were no significant differences in correlation factors between constructive thinking and academic engagement attributed to gender and specialization. Based on the findings, it is logical to conclude that the increase in constructive dimensions of constructive thinking contributes to achieving academic engagement, while the increase in destructive dimensions of constructive thinking reduces academic engagement.

Exploratory Analysis of Radiomics and Pathomics in Uterine Corpus Endometrial Carcinoma

Uterine corpus endometrial carcinoma (EC) is one of the most common malignancies in the female reproductive system, characterized by tumor heterogeneity at both radiological and pathological scales. Both radiomics and pathomics have the potential to assess this heterogeneity and support EC diagnosis. This study examines the correlation between radiomics features from Apparent Diffusion Coefficient (ADC) maps and post-contrast T1 (T1C) images with pathomic features from pathology images in 32 patients from the CPTAC-UCEC database. 91 radiomics features were extracted from ADC maps and T1C images, and 566 pathomic features from cell detections and cell density maps at four different resolutions. Spearman’s correlation and Bayes Factor analysis were used to evaluate radio-pathomic correlations. Significant cross-scale correlations were found, with strengths ranging from 0.57 to 0.89 in absolute value (9.47 × 104 < BF < 4.77 × 1014) for the ADC task, and from 0.64 and 0.70 (1.80 × 104 < BF < 5.69 × 105) for the T1C task. Most significant and high cross-scale associations were observed between ADC textural features and features from cell density maps. Correlations involving morphometric features and ADC and T1C first-order features were also observed, reflecting variations in tumor aggressiveness and tissue composition. These findings suggest that correlating radiomic features from ADC and T1C features with histopathological features can enhance understanding of EC intratumoral heterogeneity.

Hydration behavior of asparagine: an approach using time domain reflectometry at low temperatures

The dielectric behavior of Asparagine (C4H8N2O3) in water over the frequency range of 10 MHz to 30 GHz in the temperature region of 278.15–303.15 K in a step of 5 K has been carried out using time domain reflectometry (TDR) at various concentrations of asparagine. The obtained dielectric spectra reveal two relaxation peaks. The low frequency relaxation is attributed to the interaction between solute-solute molecules, while the high frequency relaxation is due to the reorientation of solvent molecules. The various dielectric and thermodynamic parameters were calculated such as the dielectric constant (εj), relaxation time (τj), effective dipole moment (μeff), Kirkwood correlation factor (g1), hydration number or the number of solvent molecules effectively bounded to solute molecule (Zib), effective volume of rotation (Veff), free energy of activation (ΔFj), entropy of activation (ΔSj) and enthalpy of activation (ΔHj). The static dielectric constant (ε1) shows increasing trend towards the higher concentration of asparagine, where as the high frequency dielectric constant (ε2) decreases with the concentration of asparagine. The relaxation time of low frequency (τ1) and high frequency (τ2) processes increases towards higher concentration of solute molecule and also towards lower temperature. As the concentration of asparagine increases, the value of effective dipole moment (μeff) decreases. With increasing amino acid concentrations hydration dynamics get affected and indicated by decreasing the hydration number (Zib) but the hydration dynamics of aqueous asparagine was found least temperature dependent.

Emotion Acceptance Questionnaire (EAQ): Factor Analysis and Psychometric Evaluation

Emotion acceptance is defined as the willingness to experience pleasant and unpleasant emotions. Extant research suggests that emotion acceptance—and its converse, emotion nonacceptance or rejection—importantly contributes to experiences of negative affect, symptoms of psychopathology, and physiological markers of emotional responding. However, no validated measurement scale is available in English for assessing emotion acceptance. The current research involved factor analysis and validation of the Emotion Acceptance Questionnaire (EAQ), drawing from items translated from a German scale (FrAGe). In Study 1, exploratory factor analysis (N = 346) revealed four correlated factors: Reject Unpleasant Emotion, Reject Pleasant Emotion, Accept Unpleasant Emotion, and Accept Pleasant Emotion. In Study 2, confirmatory factor analysis on another sample (N = 413) corroborated the four-factor measurement structure. Internal reliability coefficients of the subscales were satisfactory or higher. Preliminary convergent and discriminant validities were established by examining the extent the four EAQ subscales correlated with previously validated measures of emotion regulation, mindfulness skills, life satisfaction, and positive and negative affect. This psychometric investigation offers a novel multidimensional instrument to help conceptualize, understand, and facilitate the assessment of emotional acceptance in future research.

Exploration of factors of algal seasonal blooms in a drinking-water source

Context The emergence of cyanobacterial blooms has garnered international concern especially during seasonal transitions. Aims The objective of this study is to investigate the primary correlation factors contributing to algal blooms through an examination of the relationship between nutrient distribution and seasonal algae growth, specifically in the context of low nitrogen and phosphorus concentrations in the source of drinking water. Methods By monitoring water-quality indicators over a 6-month period, including total nitrogen, total phosphorus, ammonia nitrogen, water temperature, pH value and phytoplankton content, the dynamic trend of algal growth was evaluated, and the primary factors contributing to algal outbreaks were analysed. Key results The findings indicated a significant correlation between algae blooms and elevated water temperature and light intensity in Shuangxikou Reservoir. As light intensity and water temperature increased, there was a shift in dominant algae species from Bacillariophyta to cyanobacteria. Conclusions Algal biomass was primarily concentrated at depths between 0 and 4 m, leading to a higher pH value in this specific water area than in the other areas along the vertical axis as a result of the algal outbreak. Implications This study has made a substantial contribution to the identification of safe methods for managing seasonal algae growth.

Factors associated with preterm birth and mother-to-child transmission in HIV-positive pregnant women in Henan, China, 2016–2022: a retrospective cohort study

IntroductionHIV can greatly impact the quality of life of pregnant women and may cause adverse pregnancy outcomes, such as preterm birth (PB) and mother-to-child transmission (MTCT). The purpose of this...

Music perception and its correlation with auditory speech perception in pediatric Mandarin-speaking cochlear implant users

Background Cochlear implants (CI) help regain perception of sound for patients with sensorineural hearing loss. The ability to recognize music pitch may be crucial for recognizing and producing speech for Mandarin. Aims/Objectives This study aims to search for possible influencing factors of music perception and correlations between music perception and auditory speech abilities among prelingually deaf pediatric Mandarin-speaking CI users. Material and Methods Music perception of 24 pediatric CI users and 12 normal hearing children was measured using the MuSIC test. Auditory speech perception of the 24 CI users was also measured and analyzed with their music perception results. Results Pediatric CI users performed worse than normal hearing children in pitch, rhythm and melody discrimination tests (p < .05). Significant difference in pitch and melody discrimination tests between age at implantation <5 and >5 groups was found. There were significant correlations between perception of consonants, tones, and speech in a noisy environment and perception of music pitch and melody. Conclusion and Significance Prelingually deaf pediatric CI users who received implantation before the age of five perform better in music perception tests. Pediatric CI users with better music perception show better auditory speech perception of Mandarin.

A Preliminary Neural Network-Based Composite Method for Accurate Prediction of Enthalpies of Formation.

A composite method, named ANN-G3S, is introduced, adapting from G3S theory and employing distinct sets of multiplicative scale factors. An artificial neural network (ANN)-based classification model is utilized to select optimal sets of four scale factors for electronic correlation and basis set expansion terms in electronic systems. The correlation and basis set terms are scaled by four parameters, two for atoms and the other two for molecules. The ANN model is trained on the G3/05 test set to identify the best parameter set for each electronic system. To validate the method, 10% of the structures from the test set are randomly excluded from training and optimization, forming a separate validation set. The method demonstrates a mean deviation of 1.11 kcal mol-1 for the G3/05 set and 0.89 kcal mol-1 for the validation set, close to the value presented by the G4 method and surpassing the accuracy of the G3 method of 1.19 kcal mol-1 with significantly reduced computational cost. This method shows advantages by eliminating the need for purely empirical corrections, thereby enhancing both efficiency and accuracy in predicting heats of formation.

Crucial Role of c-Myc/Monocarboxylate Transporter 4 Signaling in Capsaicin Induced Apoptotic and Anti-Warburg Effects in Hepatocellular Carcinoma.

Though Capsaicin from chili peppers was known to have antitumor effects in several cancers, the underlying antitumor pathogenesis of Capsaicin is not clear to date. Thus, the antitumor mechanism of Capsaicin was explored in Hep3B and Huh7 hepatocellular carcinoma (HCC) cells in relation to c-Myc/monocarboxylate transporter 4 (MCT4) signaling. To elucidate the antitumor mechanism of capsaicin, cytotoxicity assay, cell cycle analysis, Western blotting, RT-qPCR, RNA interference, ELISA, immunoprecipitation, and mouse xenograft model were used in this work. Capsaicin increased the cytotoxicity, subG1 population, and the number of TUNEL-positive bodies in Huh7 and Hep3B cells. Consistently, Capsaicin diminished the expression of pro-PARP, HK2, PKM2, LDHA, glucose transporter type 1 (Glut1), c-Myc, and monocarboxylate transporter 4 (MCT4) in Huh7 and Hep3B cells, along with decreased production of glucose, lactate, and ATP. However, a glycolysis end product pyruvate treatment reversed the capacity of Capsaicin to attenuate the expression of pro-PARP, HK2, c-Myc, and MCT4 in Hep3B cells. Furthermore, Capsaicin reduced c-Myc stability in the presence of cycloheximide and induced c-Myc ubiquitination in Hep3B cells, while c-Myc directly binds to MCT4 as a lactate transporter and downstream of c-Myc in Hep3B cells by immunoprecipitation and correlation factor (Spearman efficient = 0.0027). Furthermore, a preliminary analysis of an animal study reveals that Capsaicin significantly suppressed the growth of Hep3B cells inoculated in BALB/c nude mice without hurting body weight, liver, and spleen. Our findings provide novel evidence that Capsaicin exerts apoptotic and anti-Warburg effect via c-Myc/MCT4 signaling axis as a potent anticancer candidate for liver cancer therapy.

Investigating the Element Geochemical Behavior and Provenance of Surface Sediments in the Offshore Area of Sierra Leone, Africa: Insights from Major and Trace Elements

The element geochemical behavior and provenance of marine sediments are of significance to understanding the oceanic material cycle. Here, we tested the grain size and major and trace elements of 35 surface sediments in the offshore area of Sierra Leone, analyzed the content characteristics and controlling factors of the elements, discussed the material source of the sediments, and made a comparative study with the sediments in the offshore area of China. The results show that sandy silt is the main sediment type in the research area, and the average sediment mean grain size (Mz) is 4.15Φ. The content of Ca in the samples is the highest among the major elements (except Si), with an average of 5.1%. The content of Sr is the highest among the trace elements (except Ti, P, and Mn), with an average of 378.2 μg/g. The results of correlation analysis and factor analysis show that there are three main sources of sediments in the research area, namely, terrigenous weathering products, ilmenite-dominated ore, and oceanic biochemical substances. Compared with the sediments in China offshore, the sediments in the study area are more affected by marine biochemistry and have special ore input characteristics.

Proposal of a predictive score for the occurrence of postoperative cerebral vasospasm: analysis of a large single institution retrospective series and literature review.

Despite being uncommon, postoperative vasospasm (PoVS) present notably high morbidity and mortality rates. Our aim was to identify prognostic factors associated with this condition and introduce a scoring system to improve subsequent clinical and radiological surveillance strategies. We conducted a retrospective analysis of our institutional database covering patients aged over 18 who underwent craniotomic or transsphenoidal surgery for elective tumor removal at the Neurosurgical Unit of our institution between January 2016 and August 2023. A comprehensive search was conducted using the Cochrane Database of Systematic Reviews and PubMed database to identify the most correlated risk factors. Literature review included a final group of 32 studies (52 patients) and identified SAH, vessel encasement or vessel manipulation, hypothalamic disfunction, meningitis, younger age, tumor size > 3 cm, and long operative time as predictive factors for PoVS. Our cohort included 2132 patients, with only 13 individuals (0.61%) presenting PoVS. To predict the occurrence of PoVS, we developed a logistic multivariate regression model that identified thick (defined as Fisher grade ≥ 3) subarachnoid hemorrhage (coeff. 6.7, p < 0.001), intraparenchymal hemorrhage (coeff. 3.44, p < 0.001), lesion located in the parasellar region (coeff. 2.1, p = 0.064), and lesion size ≥ 4 cm (coeff. 2.0, p = 0.069) as potential independent predictors of PoVS. Based on statistical model for these variables was assigned a score: thick SAH 7 points, intraparenchymal hemorrhage 3 points, parasellar lesion site 2 points, and lesion size ≥ 4 cm 2 points. The cumulative scores ranged from 0 to 14. PoVS is a rare complication but its association with significant morbidity and mortality underscores the importance of early identification and treatment. In our study we proposed a stratified risk score to identify high risk patients. However, due to rarity of this condition, our score proposal should be considered as a training set a to be validated in future studies with a multicenter setting.

Acute renal failure during treatment with Zoledronate in cancer patients.

Standard treatment for bone metastases is based on bisphosphonates such as zoledronic acid. The objective of this study was to evaluate the incidence of acute renal failure during treatment with Zoledronate and to analyze its correlated factors. This is a retrospective study carried out at the medical oncology department of Habib Bourguiba University Hospital in Sfax, between January 2022 and March 2022. The creatinine dosage was carried out using the Jaffe-type colorimetric method. Acute renal failure was defined by the Kidney disease Improving Global Outcomes criteria. 48 patients were included. The average age was 56.9 ± 10.7 years with a sex ratio (M/F) equal to 0.5. The average weight of the patients was equal to 68.5 ± 16.4 kg. 62.5% of patients were followed for breast cancer, 12.5% had lung cancer and 12.5% had prostate adenocarcinoma. The mean serum creatinine before the start of treatment was equal to 74.3 ± 34.3 µmol/l 50.84 ± 0.11 mg/dl). The mean pre-therapeutic clearance was 94.1 ± 40.2 ml/min with 4 cases of moderate renal impairment (8.3%). Acute renal failure according to KDIGO during treatment with Zoledronic acid was observed in 9 cases (18.8%), thus requiring a dose reduction. Acute renal failure was significantly associated initial clearance <60 ml/min and low weight of 53.44 kg (p = 0.003 and p = 0.01 respectively), in multivariate analysis. Our study concluded that factors associated with acute renal failure were low weight and clearance less than 60 ml/min.