Good Correlation Research Articles

Spatial monitoring of hydrolysis in a plug-flow bioreactor: a support for flexible operation?

Hydrolysis at changing hydraulic retention time, recirculation, bedding straw content in the feed, bioaugmentation and the impact of those changes on gradient formation in the liquid phase in plug-flow reactors (PFRs) was examined. The pH-value, conductivity and oxidation–reduction potential (ORP) were monitored at three spots along the PFRs to study potential correlations to process performance during a total process time of 123 weeks. The on-line monitoring showed good correlations to acidogenesis: namely, the pH and ORP to the acidification, to butyric (and lactic) acid concentration and to the acid yield. The ORP (measured at the inlet) showed the most stable correlation to acidogenesis under dynamic operation, while the conductivity (at the outlet) correlated to the acid concentration in dependence on the feedstock. Multiple measurement spots as used in this study allow to gain more information about acidogenic fermentation than a single spot, simplifying process control and automation attempts with recalcitrant feedstock.Graphical

Liver volumetry in cirrhotic patients with or without hepatocellular carcinoma: Its correlation with Child-Pugh, model for end-stage liver diseases and indocyanine green dye test.

To evaluate the correlation between non-tumoral liver volume (NTLV) by computed tomography (CT) volumetry and indocyanine green retention at 15minutes (ICG-r15%), Child-Pugh score (CTP) and model for end-stage liver diseases (MELD) score in cirrhotic patients having hepatocellular carcinoma (HCC) (group A) and in cirrhotics without HCC (group B). As many as 111 consecutive patients with liver cirrhosis, who underwent triple-phase CT abdomen, were retrospectively included in our study. They were classified into group A (cirrhosis with HCC, n = 69) and group B (cirrhosis only, n = 42). Segmental liver volume, tumor and NTLV were calculated using Myrian XP-Liver segmentation software. In group B, NTLV was the same as the total liver volume (TLV). The correlation of NTLV with ICG-r15%, CTP and MELD scores was analyzed using appropriate correlation tests for each group. NTLV had a good and significant negative correlation with ICG-r15% (ρ = - 512; p < 0.001) in group A, but not in group B. It also had a significant negative correlation with CTP (ρ = - 251; p = 0.038) and MELD (ρ = - 323; p = 0.007) scores only in group A. Furthermore, ICG-r15% had a good and significant positive correlation with CTP and MELD scores in both groups (p < 0.05). NTLV showed a significant negative correlation with ICG-r15% in cirrhotic patients with HCC, but not in cirrhotic patients without HCC. Therefore, CT volumetry can be a valuable tool to predict the functional hepatic volume in patients of cirrhosis with HCC subjected for hepatectomy, where a facility of ICG-r15% is not available. However, further studies are needed to validate our findings in cirrhotic only patients.

Preliminary data on artificial intelligence tool in magnetic resonance imaging assessment of degenerative pathologies of lumbar spine.

To evaluate the ability of an artificial intelligence (AI) tool in magnetic resonance imaging (MRI) assessment of degenerative pathologies of lumbar spine using radiologist evaluation as a gold standard. Patients with degenerative pathologies of lumbar spine, evaluated with MRI study, were enrolled in a retrospective study approved by local ethical committee. A comprehensive software solution (CoLumbo; SmartSoft Ltd., Varna, Bulgaria) designed to label the segments of the lumbar spine and to detect a broad spectrum of degenerative pathologies based on a convolutional neural network (CNN) was employed, utilizing an automatic segmentation. The AI tool efficacy was compared to data obtained by a senior neuroradiologist that employed a semiquantitative score. Chi-square test was used to assess the differences among groups, and Spearman's rank correlation coefficient was calculated between the grading assigned by radiologist and the grading obtained by software. Moreover, agreement was assessed between the value assigned by radiologist and software. Ninety patients (58 men; 32 women) affected with degenerative pathologies of lumbar spine and aged from 60 to 81years (mean 66years) were analyzed. Significant correlations were observed between grading assigned by radiologist and the grading obtained by software for each localization. However, only when the localization was L2-L3, there was a good correlation with a coefficient value of 0.72. The best agreements were obtained in case of L1-L2 and L2-L3 localizations and were, respectively, of 81.1% and 72.2%. The lowest agreement of 51.1% was detected in case of L4-L5 locations. With regard canal stenosis and compression, the highest agreement was obtained for identification of in L5-S1 localization. AI solution represents an efficacy and useful toll degenerative pathologies of lumbar spine to improve radiologist workflow.

Automatic Assessment of Ultrasound Curvature Angle for Scoliosis Detection Using 3-D Ultrasound Volume Projection Imaging

Scoliosis is a spinal deformation in which the spine takes a lateral curvature, generating an angle in the coronal plane. The conventional method for detecting scoliosis is measurement of the Cobb angle in spine images obtained by anterior X-ray scanning. Ultrasound imaging of the spine is found to be less ionising than traditional radiographic modalities. For posterior ultrasound scanning, alternate indices of the spinous process angle (SPA) and ultrasound curve angle (UCA) were developed and have proven comparable to those of the traditional Cobb angle. In SPA, the measurements are made using the spinous processes as an anatomical reference, leading to an underestimation of the traditionally used Cobb angles. Alternatively, in UCA, more lateral features of the spine are employed for measurement of the main thoracic and thoracolumbar angles; however, clear identification of bony features is required. The current practice of UCA angle measurement is manual. This research attempts to automate the process so that the errors related to human intervention can be avoided and the scalability of ultrasound scoliosis diagnosis can be improved. The key objective is to develop an automatic scoliosis diagnosis system using 3-D ultrasound imaging. The novel diagnosis system is a three-step process: (i) finding the ultrasound spine image with the most visible lateral features using the convolutional RankNet algorithm; (ii) segmenting the bony features from the noisy ultrasound images using joint spine segmentation and noise removal; and (iii) calculating the UCA automatically using a newly developed centroid pairing and inscribed rectangle slope method. The proposed method was evaluated on 109 patients with scoliosis of different severity. The results obtained had a good correlation with manually measured UCAs (R2=0.9784 for the main thoracic angle andR2=0.9671 for the thoracolumbar angle) and a clinically acceptable mean absolute difference of the main thoracic angle (2.82 ± 2.67°) and thoracolumbar angle (3.34 ± 2.83°). The proposed method establishes a very promising approach for enabling the applications of economic 3-D ultrasound volume projection imaging for mass screening of scoliosis.

Development and Validation of the SPSQ-26

Abstract: The aim of this article was to develop an abbreviated version of the Sensory Processing Sensitivity Questionnaire (SPSQ), that maintains a similar factorial structure to the original and demonstrates good psychometric properties. The Short Form of the SPSQ (SPSQ-SF) was developed using a split-sample validation design. Items were retained based on impact on internal consistency reliability, fit to the hierarchical structure of the original SPSQ, and information curves based on a Graded Response Model. Subsequently, the dimensionality and fit to the latent structure of the SPSQ were evaluated. Correlations with the original SPSQ, other measures of Sensory Processing Sensitivity, personality, and clinical outcomes were examined. The SPSQ-SF demonstrated a good fit and high correlation with the original SPSQ. Positive correlations were observed with subscales of the Adult Temperament Questionnaire and the Highly Sensitive Person Scale. Neuroticism and Openness showed strong associations with the negative and positive higher-order dimensions of the SPSQ-SF, respectively. The negative higher-order dimension and Emotional and Physiological Reactivity subscale exhibited significant relationships with physical and psychological distress. Thus, the SPSQ-SF demonstrated good convergent, discriminant, and concurrent validity. The SPSQ-SF offers a valid and reliable alternative to the original SPSQ, allowing for the collection of a large amount of information with fewer items.

Nanocellulose-Based Ecofriendly Nanocomposite for Effective Wastewater Remediation: A Study on Its Process Optimization, Improved Swelling, Adsorption, and Thermal and Mechanical Behavior.

A nanocellulose (NC)-based cross-linked adsorbent has been employed herein for the removal of dye pollutants (e.g., methylene blue) from the textile industry. The synthesized hydrogel was optimized to achieve the best concentrations of the adsorbent constituents, i.e., 1.55% guar gum, 1.46% NC, and 0.84% borax for achieving the maximum swelling index (SI, 3741.42%) and higher adsorption capacity (qe, 24.05 mg g-1). 98.8% of dye qe was achieved at optimal conditions of pH 8 within 30 min at 30 °C. Adsorption isotherms and kinetics investigations showed good correlation with the Freundlich adsorption isotherm model (R2 > 0.9889; ΔG° = -4.71; ΔH° = -12.30; ΔS° = -0.025) as well as the pseudo-second-order kinetics model, indicating multilayered and intricate adsorption mechanisms for dye removal. The study of thermodynamic parameters confirmed the exothermic nature of the adsorption process. The adsorption-desorption study of the resulting hydrogel exhibited 64.58% dye removal efficiency even after 4 consecutive cycles of reuse. Further, scanning electron microscopy, Fourier transform infrared spectroscopy, thermogravimetric analysis, and X-ray diffraction analysis revealed the surface morphology, functional moieties, thermal behavior, and crystallinity pattern of the hydrogel. Rheological analysis demonstrated pseudoplastic flow and improved mechanical behavior for the hydrogel. The current study found that the synthesized adsorbent with a higher SI and qe has a noticeable potential for the removal of dye pollutants from wastewater.

Comparison of Plasma Concentration of Linezolid's Detection by FICA and LC-MS/MS.

Linezolid was the first totally synthetic oxazolidinone antibiotic that was approved for clinical use against Mycobacterium tuberculosis. Our study investigated the correlation and consistency of fluorescence immunochromatography assay (FICA) and high-performance liquid chromatography-tandem mass spectrometry (LC-MS/MS) in measuring linezolid levels in the plasma. Plasma samples were collected from 80 to 100 tuberculosis patients. The samples were analyzed by FICA and LC-MS/MS, and linezolid levels measured by the two methods were compared by outlier test, correlation coefficient, Bland-Altman scatter plot, Deming regression analysis and bias evaluation. A total of 83 plasma samples were collected, all of which were non-outlier. The correlation coefficient of FICA and LC-MS/MS results was 0.9845. Deming regression analysis showed that the regression equation of FICA and LC-MS/MS was y = 0.2229 + 1.0076x. The medical decision levels of 2 and 7μg/mL were taken into the regression equation, and the 95% CI of 2- and 7-μg/mL bias were both within the allowed error range. The findings indicated a strong correlation between the results obtained from FICA and LC-MS/MS were consistent showed good correlation, demonstrating their equivalence in measurement.

Molecular diagnosis of Cytomegalovirus infection: clinical performance of the Aptima transcription-mediated amplification assay toward conventional qPCR chemistry on whole blood samples.

In this paper, we describe the clinical performance of a novel transcription-mediated amplification (TMA) assay for the detection and quantification of human Cytomegalovirus (HCMV) DNA from whole blood samples. This is a pivotal analysis in immunocompromised patients [transplanted, HIV-positive, and Hematopoietic Stem Cell (HSC) recipients], and molecular tests with high sensitivity and specificity are necessary to evaluate the HCMV viral load in these patients. To our knowledge, this is the first in-depth evaluation of TMA chemistry for HCMV diagnosis on whole blood samples. Moreover, also technical aspects of this assay make it suitable for clinical diagnostics.

Good correlation between tacrolimus concentrations using improved CMIA on the Alinity i analyzer and LC-MS/MS method from a reference laboratory but unexpected negative bias with another LC-MS/MS method from a different reference laboratory.

We compared tacrolimus concentrations obtained by the more recently US Food and Drug Administration-approved tacrolimus assay (CMIA) on the Alinity i analyzer (Abbott Laboratories) with a liquid chromatography/tandem mass spectrometry (LC-MS/MS)-based method from 2 reference laboratories. We also investigated the correlation between the CMIA tacrolimus and Elecsys tacrolimus assays. Tacrolimus concentrations were measured in EDTA whole blood by the chemiluminescent microparticle immunoassay (CMIA) using the Alinity i analyzer, and then 2 aliquots were sent to 2 reference laboratories, both using ascomycin as the internal standard for the LC-MS/MS method. The total precision of the CMIA tacrolimus assay was excellent. When tacrolimus concentrations obtained by the LC-MS/MS method from reference laboratory A were plotted on the x-axis and corresponding CMIA values were plotted on the y-axis, the following regression equation was observed: y = 0.9721x + 1.005 (r = 0.95), indicating no significant bias with the CMIA. However, when tacrolimus values obtained from reference laboratory B were used for comparison, the regression equation was y = 0.7664x + 1.775 (r = 0.93), indicating significant negative bias with the CMIA. When we compared tacrolimus concentrations obtained by reference laboratories A and B, we observed positive bias with tacrolimus concentrations obtained by reference laboratory B. However, tacrolimus concentrations obtained by both CMIA and Elecsys immunoassays were comparable. Because of good correlation of tacrolimus concentrations using the CMIA and LC-MS/MS from reference laboratory A, our long-term reference laboratory for drug analysis, we concluded that the CMIA on the Alinity i can be used for therapeutic drug monitoring of tacrolimus.

Snow water equivalent retrieval over Idaho – Part 2: Using L-band UAVSAR repeat-pass interferometry

Abstract. This study evaluates using interferometry on low-frequency synthetic aperture radar (SAR) images to monitor snow water equivalent (SWE) over seasonal and synoptic scales. We retrieved SWE changes from nine pairs of SAR images, mean 8 d temporal baseline, captured by an L-band aerial platform, NASA's Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR), over central Idaho as part of the NASA SnowEx 2020 and 2021 campaigns. The retrieved SWE changes were compared against coincident in situ measurements (SNOTEL and snow pits from the SnowEx field campaign) and to 100 m gridded SnowModel modeled SWE changes. The comparison of in situ to retrieved measurements shows a strong Pearson correlation (R=0.80) and low RMSE (0.1 m, n=64) for snow depth change and similar results for SWE change (RMSE = 0.04 m, R=0.52, n=57). The comparison between retrieved SWE changes to SnowModel SWE change also showed good correlation (R=0.60, RMSD = 0.023 m, n=3.2×106) and especially high correlation for a subset of pixels with no modeled melt and low tree coverage (R=0.72, RMSD = 0.013 m, n=6.5×104). Finally, we bin the retrievals for a variety of factors and show decreasing correlation between the modeled and retrieved values for lower elevations, higher incidence angles, higher tree percentages and heights, and greater cumulative melt. This study builds on previous interferometry work by using a full winter season time series of L-band SAR images over a large spatial extent to evaluate the accuracy of SWE change retrievals against both in situ and modeled results and the controlling factors of the retrieval accuracy.

Deep learning-assisted Hubble parameter analysis

We turn our attention on evaluating the most recent Hubble parameter data measured via the differential evolution of cosmic-chronometers from a deep learning perspective. To achieve this goal, we start our investigation by introducing the selected theoretical setup and compiling the most recent statistical data obtained in cosmology experiments. Then we implement a tuned version of the long-short term memory (LSTM) architecture and run it to predict possible values of the Cosmic Hubble parameter for different red-shift states. Since we observe a good correlation between the observed and predicted datasets of the Hubble parameter, we conclude that the machine learning approaches can play important roles in the future cosmology investigations.

Endothelium-mediated regulation of platelet activation: Involvement of multiple protein kinases.

The endothelial regulation of platelet activity is incompletely understood. Here we describe novel approaches to find molecular pathways implicated on the platelet-endothelium interaction. Using high-shear whole-blood microfluidics, employing coagulant or non-coagulant conditions at physiological temperature, we observed that the presence of human umbilical vein endothelial cells (HUVEC) strongly suppressed platelet adhesion and activation, via the collagen receptor glycoprotein VI (GPVI) and the PAR receptors for thrombin. Real-time monitoring of the cytosolic Ca2+ rises in the platelets indicated no major improvement of inhibition by prostacyclin or nitric oxide. Similarly under stasis, exposure of isolated platelets to HUVEC reduced the Ca2+ responses by collagen-related peptide (CRP-XL, GPVI agonist) and thrombin (PAR agonist). We then analyzed the label-free phosphoproteome of platelets (three donors), exposed to HUVEC, CRP-XL, and/or thrombin. High-resolution mass spectrometry gave 5463 phosphopeptides, corresponding to 1472 proteins, with good correlation between biological and technical replicates (R > .86). Stringent filtering steps revealed 26 regulatory pathways (Reactome) and 143 regulated kinase substrates (PhosphoSitePlus), giving a set of protein phosphorylation sites that was differentially (44) or similarly (110) regulated by HUVEC or agonist exposure. The differential regulation was confirmed by stable-isotope analysis of platelets from two additional donors. Substrate analysis indicated major roles of poorly studied protein kinase classes (MAPK, CDK, DYRK, STK, PKC members). Collectively, these results reveal a resetting of the protein phosphorylation profile in platelets exposed to endothelium or to conventional agonists and to endothelium-promoted activity of a multi-kinase network, beyond classical prostacyclin and nitric oxide actors, that may contribute to platelet inhibition.

Precipitation uncertainty estimation and rainfall-runoff model calibration using iterative ensemble smoothers

The introduction of iterative ensemble smoothers (IES) for parameter calibration opens avenues for expanding parameter space in surface water hydrologic modeling. Here, we have introduced independent parameters into a model calibration experiment to estimate errors in rainfall forcing data. This approach has the potential to estimate rainfall errors using other hydrological observations and to improve model calibration. Using high-resolution rain gauge data, we estimated “real” rainfall errors across the Turkey River watershed at storm and daily scales. Tests on synthetic and real-world scenarios successfully estimated errors correlated with observed values – even at daily scales. However, a bias remained from model parameter compensation, and identifying errors was challenging for low precipitation and snowfall. Despite synthetic results showing good error correlation, the biases in parameter identification masked potential improvements in hydrological calibration. This study highlights the potential of IES to provide additional information on rainfall errors, even only using streamflow observations.

A New Method for Assessing Total Cardiovascular Stiffness—Preliminary Data

Abstract This paper demonstrates a new method for assessing total cardiovascular stiffness using the following five hemodynamic parameters gathered during a routine echocardiogram: (1) left ventricular stroke volume, (2) left ventricular ejection period, (3) heart rate, (4) systolic blood pressure, and (5) diastolic blood pressure. This study uses eight volunteer patients undergoing a routine echocardiogram at the University of Missouri Hospitals. Pulse wave velocity (PWV) data was taken immediately after the echocardiogram and compared to the cardiovascular stiffness result obtained from the echocardiogram data. The R2 value for this comparison was 0.8499 which shows a good correlation. We hypothesize that our new method for assessing total cardiovascular stiffness may be considered equivalent to that of the PWV method.

PLAS-20k: Extended Dataset of Protein-Ligand Affinities from MD Simulations for Machine Learning Applications

Computing binding affinities is of great importance in drug discovery pipeline and its prediction using advanced machine learning methods still remains a major challenge as the existing datasets and models do not consider the dynamic features of protein-ligand interactions. To this end, we have developed PLAS-20k dataset, an extension of previously developed PLAS-5k, with 97,500 independent simulations on a total of 19,500 different protein-ligand complexes. Our results show good correlation with the available experimental values, performing better than docking scores. This holds true even for a subset of ligands that follows Lipinski’s rule, and for diverse clusters of complex structures, thereby highlighting the importance of PLAS-20k dataset in developing new ML models. Along with this, our dataset is also beneficial in classifying strong and weak binders compared to docking. Further, OnionNet model has been retrained on PLAS-20k dataset and is provided as a baseline for the prediction of binding affinities. We believe that large-scale MD-based datasets along with trajectories will form new synergy, paving the way for accelerating drug discovery.

Antioxidant and Anticancer Activity of Pericarp Water Extracts of Mediterranean Ancient Chestnut Accessions

The residue of chestnut processing generates a large amount of waste material, a resource not adequately exploited. The antioxidant and antitumoral properties of cold and hot water extracts from discarded pericarp of four chestnut Sardinian accessions and one marron variety were studied. The antioxidant capacity of the extracts was determined by spectrophotometric and electrochemical tests. The 1,1-diphenyl-2-pic-rylhydrazyl (DPPH) and 2,2′-azinobis (3-ethylbenzothiazoline-6-sulfonic acid) diammonium salt (ABTS) results were highly correlated with each other; likewise, a good correlation was found between Ferric Reducing Antioxidant Power (FRAP) and cyclic voltammetry (CV) values, both based on the direct transfer of electrons. The antiproliferative effect on normal cells (fibroblasts), and on colon (RKO and SW48) and breast (MCF7) cancer cells was evaluated. Additionally, this paper marks the first application of chestnut extracts to investigate their effects on melanoma (B16F10) cells. The MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) test demonstrated that temperature and different extraction times significantly influenced the growth of cells, both normal and tumor. The fibroblast growth was significantly inhibited by moderate doses of cold extracts, while the GI50 values calculated for hot extracts were high, regardless of the accession or cultivar. An even more marked inhibitory action of the cold extracts was observed both on the growth of RKO and SW48 cells and on B16F10 melanoma cells. Otherwise, an extract concentration, both cold and hot, of no less than 243 µg mL−1 is required to achieve a 50% inhibition of MCF7 cell growth.

Induced Partial Saturation Using Pseudomonas stutzeri Biogas for Mitigate Structure Settlement

Induced partial saturation (IPS) is a new foundation treatment method for mitigating soil liquefaction using biogas. A series of laboratory tests were performed to demonstrate the influencing factors of IPS using Pseudomonas stutzeri biogas. On the basis of the optimal biogas production conditions, the intervention effect of Pseudomonas stutzeri biogas on the foundation deformation under buildings was investigated based on shaking table tests. The test results showed that the best carbon source in the denitrification process of Pseudomonas stutzeri biogas is sodium citrate. The most effective initial value of optical density-based concentration was 0.1. The carbon–nitrogen ratio (C/N) of the bacterium suspension was used as the index to control the saturation. The degree of saturation reduction showed a good linear correlation with the C/N. The optimum temperature of this method was between 20 °C and 30 °C. The most suitable pH value was between 7 and 9. The environmental factors had minimal influence on the degree of saturation reduction but had a significant effect on the average rate of gas generation and the period of initial stagnation. After Pseudomonas stutzeri biogas desaturation, the settlement of the building was greatly reduced. The settlement of saturation of 92.5% sand foundation reached 17.1 mm, and the 85% saturation was only 10.6 mm. These results provide a good foundation for the feasibility of utilizing Pseudomonas stutzeri biogas mitigation of the liquefaction hazard of sand.

Assessing probiotic viability in mixed species yogurt using a novel propidium monoazide (PMAxx)-quantitative PCR method.

Viability is a prerequisite for any therapeutic benefits associated with the ingestion of probiotic bacteria. Current culture-based techniques are inadequate for the enumeration of probiotics in mixed-species food products. This study utilized a quantitative PCR (qPCR) method coupled with propidium monoazide (PMAxx), and novel species-specific tuf gene primers to selectively enumerate Lacticaseibacillus rhamnosus, Bifidobacterium spp., and yogurt starter cultures in mixed-species probiotic yogurt. The method was optimized for PMAxx concentration and specificity and evaluated for efficiency and applicability. PMAxx-qPCR showed high specificity to the target organisms in mixed-species yogurt, quantifying only viable cells. The linear dynamic ranges were established over five to seven orders of magnitude. The assay was reliable with an efficiency of 91-99%, R2 values > 0.99, and a good correlation to the plate count method (r = 0.882). The results of this study demonstrate the high selectivity, improved lead time, and reliability of PMAxx-qPCR over the culture-dependent method, making it a valuable tool for inline viability verification during processing and improving probiotic quality assurance for processors and consumers.

Genotype-Guided Model for Prediction of Tacrolimus Initial Dosing After Lung Transplantation.

The determination of the appropriate initial dose for tacrolimus is crucial in achieving the target concentration promptly and avoiding adverse effects and poor prognosis. However, the trial-and-error approach is still common practice. This study aimed to establish a prediction model for an initial dosing algorithm of tacrolimus in patients receiving a lung transplant. A total of 210 lung transplant recipients were enrolled, and 26 single nucleotide polymorphisms (SNP) from 18 genes that could potentially affect tacrolimus pharmacokinetics were genotyped. Associations between SNPs and tacrolimus concentration/dose ratio were analyzed. SNPs that remained significant in pharmacogenomic analysis were further combined with clinical factors to construct a prediction model for tacrolimus initial dose. The dose needed to reach steady state tacrolimus concentrations and achieve the target range was used to validate model prediction efficiency. Our final model consisted of 7 predictors-CYP3A5 rs776746, SLCO1B3 rs4149117, SLC2A2 rs1499821, NFATc4 rs1955915, alanine aminotransferase, direct bilirubin, and hematocrit-and explained 41.4% variance in the tacrolimus concentration/dose ratio. It achieved an area under the receiver operating characteristic curve of 0.804 (95% confidence interval, 0.746-0.861). The Hosmer-Lemeshow test yielded a nonsignificant P value of .790, suggesting good fit of the model. The predicted dose exhibited good correlation with the observed dose in the early postoperative period (r=0.748, P less than .001). Our study provided a genotype-guided prediction model for tacrolimus initial dose, which may help to guide individualized dosing of tacrolimus in the lung transplant population in clinical practice.

Patient reported outcome and quality of life measured by a simple questionnaire in patients with symptomatic benign prostate hyperplasia treated by holmium laser enucleation of the prostate (HoLEP).

Holmium Laser Enucleation of the Prostate (HoLEP) is established as an effective transurethral treatment option for LUTS due to BPH with improved postoperative outcome. The aim of this study was to evaluate the medium-term results by patient reported outcome measurement and to detect potential risk factors for postoperative complications or impaired outcome. We performed a retrospective single-center cohort study including all patients undergoing HoLEP in the study center between April 2019 and December 2021. Therefore, perioperative parameters and postoperative outcome was documented and all patients were asked for their outcome (PROM), complications, IPSS, QoL and changes in sexual and continence function by a questionnaire at a single time point. In the study period, a total of 541 patients with a mean age of 72.5 ± 8.4 years were treated by HoLEP in the study center. 71.7% of the questionnaires were returned after a mean observation period of 14.9 ± 6.3 month. 91% of the patients reported to the single-timepoint questionnaire reporting a good satisfaction with the procedure and a low postoperative complication rate. The international prostate symptom score could be reduced significantly to 6.2 ± 5.7 (preoperative 19.0 ± 7.2; p < 0.001). Patients with an ASA score ≥ 3, prostate volume > 80 ml, medication with platelet inhibitors or DOAK or preoperative need of an indwelling catheter didn't show an increased complication rate. The overall satisfaction with the procedure and its results are high. We could not identify any independent risk factors for postoperative complications after HoLEP. The used questionnaire is a simple tool for postoperative patient reported outcome measurement with a good correlation to clinical parameters.