Score Values Research Articles

The contribution of imaging to non-invasive fibrosis biomarkers in the diagnosis and staging of chronic liver disease

Aims: Gold standard technique for determining the stage of fibrosis in cirrhosis is a biopsy. Non-invasive tests are used when a biopsy is contraindicated. However, their specificity and sensitivity still fall short of expectations. Aim of the study is to develop a model capable of determining fibrosis using serum biomarkers and liver ultrasonography. Methods: A retrospective study was designed including patients with chronic hepatitis B and C underwenting liver biopsies between the time frame of 2015 to 2020 years at Trakya University School of Medicine. Epidemilogical data, ltrasonography and pathology reports were noted. Blood values were recorded and used to calculate AST / Platelet Ratio Index (APRI), Fibrosis-4 Index (FIB-4), Gothenburg University Cirrhosis Index (GUCI) noninvasive fibrosis indices. The fibrosis stages of the patients were assessed accoridng to pathology reports into three categories: advanced (F5-F6), moderate (F3-F4), and lower Ishak scores. Results: A total of 259 patients were included in the study. The median age of the patients was 54 (19-90), and 40.9% (106) were female. The median values of APRI, GUCI and FIB-4 scores were respectively: 0.6 (0-21.8), 0.6 (0-26.2) and 1.6 (0.2-8.5). The effects of ultrasonography findings were examined to improve the diagnostic performance of APRI, GUCI and FIB-4 indices. Accompanied by statistical analysis, it was observed that the FIB-4 index and the presence of hepatosteatosis in the liver had a significant effect on the detection of F?3 (respectively; p<0.001, p=0.033). A new model named FIB4u (ultrasonography) was developed. The AUC values of indices for differentiation of intermediate and advanced stages of fibrosis (?3) were respectively:FIB4u 0.760; FIB-4 0.753; GUCI 0.676; APRI 0.667 (p<0.001). The FIB4u index demonstrated considerably better performance compared to both APRI and GUCI. Conclusion: The FIB4u index, developed by combining ultrasonography and laboratory data, can be used as a new index for fibrosis assessment in the absence of advanced elastography techniques. It needs to be validated in larger patient cohorts to be used safely in the long term.

Long-term quality of life in patients with bariatric surgery evaluated with BAROS.

To analyze the long-term QoL of patients who underwent Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG). We evaluated 257 patients from three private clinics in Santiago, Chile, with ~10-y since surgery. The Bariatric Analysis and Reporting Outcome System (BAROS) was used. Median values for the BAROS score indicated good results of treatment:4.3 (2.3-6.0) and 4.1 (2.1-6.4) for RYGB and SG patients, respectively. The Moorehead-Ardelt Quality of Life (MAQoL) score was higher in patients with SG compared to RYGB (1.5 vs. 1.3, p = 0.047). A moderate, positive, and significant correlation was observed between the percentage excess weight loss and MAQoL score (rho= 0.48, p<0.001). Patients undergoing BS showed a good QoL even in the long term (~10 y).

222 Consistency and Prognostic Value of NI-RADS Scoring in Early Post-operative C.E. CT for Oral Cavity Cancer: Implication for Clinical Practice

222 Consistency and Prognostic Value of NI-RADS Scoring in Early Post-operative C.E. CT for Oral Cavity Cancer: Implication for Clinical Practice

Correlation analysis between Pirani score and talo-navicular angle,calcaneo-cuboid angle and tibio-calcaneall angle of infant clubfoot under ultrasound

Objective: To explore the evaluation effect of ultrasonography and Pirani score on tarsal deformity, treatment effect and pseudo-correction of congenital clubfoot in infants and young children, and the correlation between the two methods. Methods: This is a retrospective case series study. The clinical data of 26 children (40 feet) with congenital clubfoot who were evaluated by ultrasonography in the Third Affiliated Hospital of Zhengzhou University from January 2020 to January 2023 were retrospectively collected. There were 16 males and 10 females. The age at the first ultrasound examination was (M(IQR)) 9.0 (18.0) days (range: 1 to 46 days). All patients were treated with Ponseti method by the same physician. The Pirani scores before and after treatment and at the last examination, and the talonavicular angle, calcaneocuboid angle and tibiocalcaneal angle measured by ultrasound were collected, and the treatment and follow-up were recorded. Paired sample t test, repeated measures analysis of variance or Kruskal-Wallis test were used for data comparison, and Spearman correlation analysis was used for correlation analysis. The receiver operating characteristic curve was used to calculate the efficacy of ultrasound in evaluating different Pirani scores. Results: The number of plaster fixation in 26 children was 4.0 (1.0) times (range: 2 to 8 times). The medial talonavicular angle and posterior tibiocalcaneal angle were significantly improved after treatment and at the last follow-up compared with those before treatment, and the differences were statistically significant (all P<0.01). There was no difference in lateral calcaneocuboid angle before and after treatment and at the last follow-up (F=1.971, P>0.05). Pseudo-correction occurred in 2 cases (2 feet) during the treatment, with an incidence of 5%. Correlation analysis showed that there was a moderate positive correlation between talonavicular angle and Pirani midfoot score (r=0.480, P<0.01). There was no correlation between calcaneocuboid angle and Pirani midfoot score (r=0.114, P=0.105). There was a moderate negative correlation between tibial heel angle and Pirani hindfoot score (r=-0.566, P<0.01). The cut-off point of Pirani midfoot score of 1.5 was 38.78°, the sensitivity was 0.90, the specificity was 0.56, and the area under the curve was 0.75. The cut-off value of angle was 27.51 °, the sensitivity was 0.16, the specificity was 0.92, and the area under the curve was 0.44.The cut-off points of Pirani midfoot score of 3.0 were 45.08°and 9.96°, the sensitivity was 0.94 and 0.91, the specificity was 0.37 and 0.42, and the area under the curve was 0.59 and 0.62, respectively. The cut-off values of Pirani hindfoot score of 2.0 and 3.0 were 167.46° and 160.15°, respectively. The sensitivity was 0.75 and 0.67, the specificity was 0.81 and 0.83, and the area under the curve was 0.78 and 0.71, respectively. Conclusion: Ultrasound can complement with Pirani score, visually and dynamically observe the morphology and position changes of talonavicular joint, calcaneocuboid joint and tibiotalocalcaneal joint, monitor the recovery and pseudo-correction of tarsal bones, and better evaluate the therapeutic effect.

PCQD‐AR: Subjective quality assessment of compressed point clouds with head‐mounted augmented reality

AbstractThis letter fully studies the coloured point cloud quality assessment in augmented reality (AR) environment through subjective test. Firstly, a point cloud dataset, named point cloud quality dataset‐AR, including ten reference point clouds and their 90 distorted versions is presented, which were generated using the reference software of video‐based point cloud compression across various combinations of geometry and texture quantization parameters. Then, the impact of geometry and texture distortions on perceived quality of point clouds in AR environment was discussed in detail. Moreover, the performance of existing objective point cloud quality assessment metrics on the proposed dataset is evaluated. The subjective dataset including the values of mean opinion score were released to public.

Synthesis, in silico screening, and biological evaluation of novel pyridine congeners as anti-epileptic agents targeting AMPA (α-amino-3-hydroxy-5-methylisoxazole) receptors.

The research involves the synthesis of a series of new pyridine analogs 5(i-x) and their evaluation for anti-epileptic potential using in silico and invivo models. Synthesis of the compounds was accomplished by using the Vilsmeier-Haack reaction principle. AutoDock 4.2 was used for their in silico screening against AMPA (-amino-3-hydroxy-5-methylisoxazole) receptor (PDB ID:3m3f). For invivo testing, the maximal electroshock seizure (MES) model was used. The physicochemical, pharmacokinetic, drug-like, and drug-score features of all synthesized compounds were assessed using the online Swiss ADME and Protein Plus software. The in silico results showed that all the synthesized compounds 5(i-x) had 1-3 interactions and affinities ranging from -6.5 to -8.0 kJ/mol with the targeted receptor compared to the binding affinities of the standard drug phenytoin and the original ligand of the target (P99), which were -7.6 and -6.8 kJ/mol, respectively. Invivo study results showed that the compound 5-Carbamoyl-2-formyl-1-[2-(4-nitrophenyl)-2-oxo-ethyl]-pyridinium gave 60% protection against epileptic seizures compared to 59% protection afforded by regular phenytoin. All of them met Lipinski's rule of five and had drug-likeness and drug score values of 0.55 and 0.8, respectively, making them chemically and functionally like phenytoin. According to the findings of the studies, the synthesized derivatives have the potential to be employed as a stepping stone in the development of novel anti-epileptic drugs.

Prognostic value of RNA methylation-related genes in gastric adenocarcinoma based on bioinformatics.

Gastric cancer (GC) is a malignant tumor that originates from the epithelium of the gastric mucosa and has a poor prognosis. Stomach adenocarcinoma (STAD) covers 95% of total gastric cancer. This study aimed to identify the prognostic value of RNA methylation-related genes in gastric cancer. In this study, The Cancer Genome Atlas (TCGA)-STAD and GSE84426 cohorts were downloaded from public databases. Patients were classified by consistent cluster analysis based on prognosis-related differentially expressed RNA methylation genes Prognostic genes were obtained by differential expression, univariate Cox and least absolute shrinkage and selection operator (LASSO) analyses. The prognostic model was established and validated in the training set, test set and validation set respectively. Independent prognostic analysis was implemented. Finally, the expression of prognostic genes was affirmed by reverse transcription quantitative PCR (RT-qPCR). In total, four prognostic genes (ACTA2, SAPCD2, PDK4 and APOD) related to RNA methylation were identified and enrolled into the risk signature. The STAD patients were divided into high- and low-risk groups based on the medium value of the risk score, and patients in the high-risk group had a poor prognosis. In addition, the RNA methylation-relevant risk signature was validated in the test and validation sets, and was authenticated as a reliable independent prognostic predictor. The nomogram was constructed based on the independent predictors to predict the 1/3/5-year survival probability of STAD patients. The gene set enrichment analysis (GSEA) result suggested that the poor prognosis in the high-risk subgroup may be related to immune-related pathways. Finally, the experimental results indicated that the expression trends of RNA methylation-relevant prognostic genes in gastric cancer cells were in agreement with the result of bioinformatics. Our study established a novel RNA methylation-related risk signature for STAD, which was of considerable significance for improving prognosis of STAD patients and offering theoretical support for clinical therapy.

Comparison of Glasgow Coma Scale Full Outline of UnResponsiveness and Glasgow Coma Scale: Pupils Score for Predicting Outcome in Patients with Traumatic Brain Injury.

Glasgow coma scale (GCS) score is the most widely used clinical score for the initial assessment of neurologically injured patients and is also frequently used for prognostication. Other scores such as the Full Outline of UnResponsivness (FOUR) score and the Glasgow Coma Scale-Pupils (GCS-P) score have been more recently developed and are gaining popularity. This prospective cohort study was conducted to compare various scores in terms of their ability to predict outcomes at 3 months in patients with traumatic brain injury (TBI). The study was carried out between October 2020 and March 2022. Patients who presented to the hospital with TBI were assessed for inclusion. Initial coma scores were assessed in the emergency department and again after 48 hours of admission. Outcome was assessed using the extended Glasgow outcome score (GOSE) at 3 months after injury. The receiver operating curve (ROC) was plotted to correlate coma scores with the outcome, and the area under the curve (AUC) was compared. A total of 355 patients with TBI were assessed for eligibility, of which 204 patients were included in the study. The AUC values to predict poor outcomes for initial GCS, FOUR, and GCS-P scores were 0.75 each. The AUC values for 48-hour coma scores were 0.88, 0.87, and 0.88, respectively. The GCS, FOUR, and GCS-P scores were found to be comparable in predicting the functional outcome at 3 months as assessed by GOSE. However, coma scores assessed at 48 hours were better predictors of poor outcomes at 3 months than coma scores recorded initially at the time of hospital admission. Chawnchhim AL, Mahajan C, Kapoor I, Sinha TP, Prabhakar H, Chaturvedi A. Comparison of Glasgow Coma Scale Full Outline of UnResponsiveness and Glasgow Coma Scale: Pupils Score for Predicting Outcome in Patients with Traumatic Brain Injury. Indian J Crit Care Med 2024;28(3):256-264.

Nutrient-rich food index 9.3 score and food choice values among female online food delivery users during COVID-19 pandemic

Background: The COVID-19 pandemic has transformed eating habits, leading to an increased reliance on online food delivery. It's crucial to comprehend the diet quality and food choices among female users during this period.&#x0D; Objective: This study aims to explore the association between diet quality score and the food choice motives among female online food delivery users during the COVID-19 pandemic&#x0D; Methods: This online cross-sectional study involved surveying 405 female users recruited through consecutive sampling. The Food Choice Values Questionnaire (FCVQ) was utilized to understand their food choices, while nutrient intake and diet quality were assessed using the Nutrient-Rich Food 9.3 Index Score (NRF 9.3). Subsequently, the collected data underwent both univariate and multivariate analyses. Potential biases might arise due to time constraints during the pandemic and reliance on self-reported online data. Moreover, the method used to measure nutrient intake might not be ideal for this demographic, lacking tailored tests. Nonetheless, it’s important to highlight that the survey underwent prior validation among Indonesian adults, affirming its broad applicability.&#x0D; Results: Female users showed low average NRF 9.3 scores (241.67), indicating poor diet quality. Their prioritized food choice motives were also low. Significant associations surfaced between NRF 9.3 scores and food choice motives—tradition (p&lt;0.01, r: 0.229), comfort (p&lt;0.01, r: 0.223), organic (p&lt;0.01, r: 0.231), safety (p&lt;0.001, r: 0.162), weight control/health (p&lt;0.01, r: 0.171), and income (p&lt;0.05).&#x0D; Conclusion: The NRF 9.3 score is likely to increase when there are higher scores for tradition, comfort, and organic factors, and when income exceeds the minimum regional wage.

Multiscale Deep - CNN Based Target Prediction in Hyperspectral Image with Transfer Learning

Abstract: There are different types of landscape throughout the world which is not readily or directly approachable for human being but their analysis to uncover factual information has become necessary for forming important decision when developing any fresh project. The geographical and landscape scenes can be adequately represented through hyperspectral images captured using remote sensors. The data in the images can potentially be both vast and intricate to analyze and it is essential to consistently perform adequate pre-processing. In this work, we have put up the use of deep learning and transfer learning for object prediction in hyperspectral data. There are mainly two algorithms that have been implemented in this research. The first method is based on Multi-Scale Deep CNN (Convolutional Neural Network) which takes hyperspectral data with varying sizes as the input to detect pixels whose intensity spreads uniformly over many wavelengths or may vary rapidly. Secondly, hyperspectral image sources are not readily available and can be expensive and there are also possibilities for high analysis complexity in the research, so a Transfer Learning based algorithm is applied to the DCNN model. Superior performance in accuracy was noted in the evaluation with respect to the F1 score and recall values for different objects fluctuate between 0.8 to 1.0. Further, we conducted a comparative study, pitting the proposed method against other state-of-the-art target prediction methodologies

Associations between chronotype and physical activity and well-being in adults

ABSTRACT Circadian rhythms influence a preference for people’s time of activity and sleep time during the day and the hours of best performance. The aim of the study was to assess the associations between chronotype, physical activity, and well-being in adults aged 20–50. The chronotype, physical activity and well-being scores were determined based on the Composite Scale of Morningness (CSM) questionnaire, the International Physical Activity Questionnaire (IPAQ) and the Well-Being Index (WHO-5) questionnaire, respectively. Study data consisted of the answers of 213 respondents (including 64 men) who took part in an online survey. The Spearman rank correlation coefficient and the matrix scatter plots were used to check the correlations between the CSM score and quality of life parameters’ values. General linear models (GLMs) were performed to find differences in quality-of-life parameters between different combinations of sex and chronotype. Morning types showed the highest value of well-being score (mean = 13.48) while evening types the lowest one (mean = 8.35). Evening types spent the most time sitting compared to other chronotypes. Results of this study revealed the significant effect of chronotype on well-being and physical activity among adults. These findings suggest that chronotype is an important factor that psychologists and personal trainers should take into account.

Combined, Single-Anchor Subscapularis Tendon Repair and Proximal Biceps Tenodesis Leads to Improved Function and Decreased Pain at 1 Year

PurposeThe purpose of this study was to evaluate the 1-year clinical outcomes of patients treated with combined proximal biceps tenodesis and repair of type II-III subscapularis tendon injuries according to Lafosse et al, using the Loop ‘N’ Tack (LNT) technique. MethodsAll patients undergoing proximal biceps tenodesis and rotator cuff repair (RCR) between March 1st, 2020 and January 30th, 2022 were retrospectively identified. Only patients undergoing combined proximal biceps tenodesis and repair of grade II or III SST injuries with a minimum follow-up of 1 year were included. All patients underwent combined single anchor proximal biceps tenodesis and SST repair using the Loop ‘N’ Tack (LNT) technique. The following outcome scores were recorded at a final follow-up of 1-year postoperatively and were compared to baseline, preoperative values: American Shoulder and Elbow Score (ASES), Single Assessment Numerical Evaluation (SANE), Veterans Rand 12 Item Health Survey (VR-12), and Visual Analog Score (VAS). The minimal clinically important difference (MCID) for all outcome indices was determined with a distribution-based method. ResultsA total of 41 consecutive patients were included. The MCID value for VAS pain, ASES, SANE, and VR-12 mental scores were 0.97, 8.5, 10.9, and 6.0 respectively. At 1-year final follow-up, approximately 95% (39/41) of patients exceeded the MCID for VAS pain scores, 90% (37/41) of patients for ASES scores, 85.4% (34/41) of patients for SANE scores, and 75.6% (31/41) of patients for VR-12 mental health scores. On average, ASES and SANE scores improved by 37 (Pre: 45.2, 1yr: 82.4, p<0.001) and 38 points (Pre: 38.0, 1yr: 75.7, p<0.001) respectively while VAS scores decreased by 4 points (Pre: 5.49, 1yr: 1.48, p<0.001). Approximately 88% (36/41) of patients were satisfied at 1 year post-operatively. Treatment failure was observed in one patient (2.4%). ConclusionPatients treated with combined, single-anchor SST repair and LNT proximal biceps tenodesis achieved significant improvements in function, high satisfaction, and low rates of re-operation at 1 year postoperatively. Additionally, 76% to 95% of patients met the MCID for VAS pain, ASES, SANE, and VR-12 mental health scores. Level of EvidenceLevel IV, retrospective case series

Mass intraoperative endothelial glycocalyx shedding affects postoperative systemic inflammation response

BacgroundOff-pump coronary artery bypass graft (OPCABG) has a high incidence of postoperative systemic inflammation response syndrome (SIRS), and perioperative endothelial glycocalyx layer (EGL) disruption can be one of the predisposing factors. We hypothesized that EGL shedding happened earlier in OPCABG which can influence on postoperative SIRS, and sevoflurane might preserve EGL better than propofol.MethodsWe randomly allocated 50 patients undergoing OPCABG to receive either sevoflurane-sufentanil or propofol-sufentanil anesthesia. Plasma syndecan-1, heparan sulfate (HS), atrial natriuretic peptide (ANP), IL-6, and cardiac troponin I (cTnI) were measured. Blood samples were collected at 6 timepoints: induction (T1), before grafting (T2), after grafting(T3), surgery done (T4), postoperative day1 (POD1,T5) and POD2 (T6). SIRS criteria and sequential organ failure assessment (SOFA) score were examined.ResultsThere were neither differences of syndecan-1, HS, IL-6 nor of SIRS criteria or SOFA score between the sevoflurane and propofol groups. All patients were pooled as a single group for further statistical analyses, plasma syndecan-1 (P < 0.001) and IL-6 (P < 0.001) increased significantly as a function of time; syndecan-1 increasing correlated significantly with the duration of coronary graft anastomosis (r = 0.329, P = 0.026). Syndecan-1(T3) correlated significantly with ANP(T3) (r = 0.0.354, P = 0.016) and IL-6 (T5) (r = 0.570, P < 0.001). The maximum value of IL-6 correlated significantly with SIRS (r = 0.378, P = 0.010), the maximum value of SOFA score (r = 0.399, P = 0.006) and ICU days (r = 0.306, P = 0.039). The maximum value of SOFA score correlated significantly with the occurrence of SIRS (r = 0.568, P < 0.001) and ICU days (r = 0.338, P = 0.022).ConclusionsOPCABG intraoperative early EGL shedding caused of grafts anastomosis greatly affected postoperative SIRS and SOFA score, sevoflurane did not clinically preserve EGL better.Trial registrationChiCTR-IOR-17012535. Registered on 01/09/2017.

Optimal cutoff value of the dry eye-related quality-of-life score for diagnosing dry eye disease

This retrospective study aimed to determine the optimal cutoff values of the Dry Eye-Related Quality-of-Life Score (DEQS) questionnaire for diagnosing dry eye disease (DED) and classifying DED severities. Participants completed the DEQS questionnaire, the Japanese version of the Ocular Surface Disease Index (J-OSDI) questionnaire, and DED examinations. DED was diagnosed according to the 2016 Asia Dry Eye Society diagnostic criteria based on DED symptoms (J-OSDI ≥ 13 points) and tear film breakup time ≤ 5 s. Receiver operating characteristic (ROC) analysis was used to calculate the optimal cutoff values of the DEQS summary score for detecting DED and grading its severity. Among 427 patients, 296 (69.3%) and 131 (30.7%) were diagnosed with DED and non-DED, respectively. ROC analysis determined an optimal cutoff value of 15.0 points for DED diagnosis, with 83.5% sensitivity, 87.0% specificity, and an area under the curve of 0.915. The positive and negative predictive values for DEQS ≥ 15.0 points were 93.6% and 69.9%, respectively. DEQS cutoff values of 15.0, 20.0, and 26.8 points could be accepted for severity classification of DED subjective symptoms in clinical use and represent mild, moderate, and severe DED, respectively. Conclusively, the optimal cutoff values of DEQS enable DED detection and subjective symptom severity classification.

Phosphatidylserine accelerates wound healing and reduces necrosis in the rats: Growth factor activation.

To examine the effect of topical phosphatidylserine (PS) on wound healing factors and tissue necrosis in in vivo models. Topical PS was applied to evaluate aspects of the wound healing process and growth factors production of vascular endothelial growth factors (VEGF) as well a necrosis reduction in the skin flap of rat models. Moreover, phenytoin (PHT) and cyclosporine A (CsA) were used topically as positive control treatments in wound and necrosis models, respectively. Immunohistochemistry (IHC) VEGF, transforming growth factor-β (TGF-β), fibroblast growth factor (FGF) and histopathology were analysed on the wounds of rats. In the necrosis assessment, necrotic areas were determined on photography taken from the back skin of rats. Results indicated that PS topically enhanced significantly (P < 0.05) numbers of fibroblasts and endothelium while inhibiting the neutrophils and macrophages during the 14 days of wound treatment. Moreover, higher values of collagen deposition and epithelialization scores as well as wound recovery percentage (near 80%) were determined significantly (P < 0.05) in the PS group compared with the control. IHC analysis determined that FGF and VEGF cytokine factors were elevated in the wound site by topical PS. Moreover, the necrotic area was significantly (P < 0.05) improved in the PS group. Our experiment indicated that wound improvement and flap survival values in PS treatments were superior to PHT and CsA control groups, respectively. In conclusion, these findings suggest the potential of PS application in the healing of wounds and control of necrosis development after surgery or skin injuries.

Multi-modal physiological time-frequency feature extraction network for accurate sleep stage classification

Sleep stage classification is essential for clinical disease diagnosis and sleep quality assessment. Most of the existing methods for sleep stage classification are based on single-channel or single-modal signal, and extract features using a single-branch, deep convolutional network, which not only hinders the capture of the diversity features related to sleep and increase the computational cost, but also has a certain impact on the accuracy of sleep stage classification. To solve this problem, this paper proposes an end-to-end multi-modal physiological time-frequency feature extraction network (MTFF-Net) for accurate sleep stage classification. First, multi-modal physiological signal containing electroencephalogram (EEG), electrocardiogram (ECG), electrooculogram (EOG) and electromyogram (EMG) are converted into two-dimensional time-frequency images containing time-frequency features by using short time Fourier transform (STFT). Then, the time-frequency feature extraction network combining multi-scale EEG compact convolution network (Ms-EEGNet) and bidirectional gated recurrent units (Bi-GRU) network is used to obtain multi-scale spectral features related to sleep feature waveforms and time series features related to sleep stage transition. According to the American Academy of Sleep Medicine (AASM) EEG sleep stage classification criterion, the model achieved 84.3% accuracy in the five-classification task on the third subgroup of the Institute of Systems and Robotics of the University of Coimbra Sleep Dataset (ISRUC-S3), with 83.1% macro F1 score value and 79.8% Cohen's Kappa coefficient. The experimental results show that the proposed model achieves higher classification accuracy and promotes the application of deep learning algorithms in assisting clinical decision-making.

What are patients' perspectives on the value of physical therapy? A prospective cohort study.

To assess and identify patients' perceptions about the overall value of physical therapy services for musculoskeletal conditions and how these values were associated with their outcomes. The association between the perceived value of physical therapy (as a score) and Patient-Reported Outcomes Measurement Information System (PROMIS) pain interference and physical function at 6-weeks was assessed in a prospective cohort. Generalised linear models were used to identify relationships between the value of physical therapy score and PROMIS outcomes. Kendall's tau was used to identify correlations between responses and outcomes. A total of 133 participants met the final inclusion criteria. The majority of participants were female (63.9%) with a mean age of 55.53 (SD 15.36) years. A majority of participants (63.9%) reported a previous positive personal experience with physical therapy. There was no significant relationship between perceived value of physical therapy and pain interference (β -0.32, p=0.07, 95% CI-0.67, 0.03) or physical function (β 0.19, p=0.29, 95% CI-0.16, 0.54). Stronger beliefs in agreement with the value of non-invasive treatment were significant, but weakly correlated with lower pain interference (r=-0.18, p=0.048) and higher physical function scores (r=0.22, p=0.03). Participants had an overall positive perception of the value of physical therapy prior to initiating physical therapy, but this perception was not associated with 6-week pain and function outcomes. A better understanding of the driving factors encouraging patients to seek physical therapy services is needed to provide value-based care.

Preoperative serum level of CA153 and a new model to predict the sub-optimal primary debulking surgery in patients with advanced epithelial ovarian cancer

ObjectiveThe aim of this study was to establish a preoperative model to predict the outcome of primary debulking surgery (PDS) for advanced ovarian cancer (AOC) patients by combing Suidan predictive model with HE4, CA125, CA153 and ROMA index.Methods76 AOC Patients in revised 2014 International Federation of Gynecology and Obstetrics (FIGO) stage III-IV who underwent PDS between 2017 and 2019 from Yunnan Cancer Hospital were included. Clinical data including the levels of preoperative serum HE4, CA125, CA153 and mid-lower abdominal CT-enhanced scan results were collected. The logistics regression analysis was performed to find factors associated with sub-optimal debulking surgery (SDS). The receiver operating characteristic curve was used to evaluate the predictive performances of selected variables in the outcome of primary debulking surgery. The predictive index value (PIV) model was constructed to predict the outcome of SDS.ResultsOptimal surgical cytoreduction was achieved in 61.84% (47/76) patients. The value for CA125, HE4, CA153, ROMA index and Suidan score was lower in optimal debulking surgery (ODS) group than SDS group. Based on the Youden index, which is widely used for evaluating the performance of predictive models, the best cutoff point for the preoperative serum HE4, CA125, CA153, ROMA index and Suidan score to distinguish SDS were 431.55 pmol/l, 2277 KU/L, 57.19 KU/L, 97.525% and 2.5, respectively. Patients with PIV≥5 may not be able to achieve optimal surgical cytoreduction. The diagnostic accuracy, NPV, PPV and specificity for diagnosing SDS were 73.7%, 82.9%, 62.9% and 72.3%, respectively. In the constructed model, the AUC of the SDS prediction was 0.770 (95% confidence interval: 0.654-0.887), P<0.001.ConclusionPreoperative serum CA153 level is an important non-invasive predictor of primary SDS in advanced AOC, which has not been reported before. The constructed PIV model based on Suidan's predictive model plus HE4, CA125, CA153 and ROMA index can noninvasively predict SDS in AOC patients, the accuracy of this prediction model still needs to be validated in future studies.

Predictive Value of LACE Scores for Pediatric Readmissions.

Hospital readmissions are recognized as a prevalent, yet potentially preventable, personal and economic burden. Length of stay, Acuity of admission, Comorbidities, and number of Emergency Department visits in the preceding 6 months can be quantified into one score, the LACE score. LACE scores have previously been identified to correlate with hospital readmissions within 30 days of discharge, but research specific to the pediatric population is scant. The objective of the present study was to investigate if LACE scores, in addition to other factors, can be utilized to create a predictive pediatric hospital readmission model that may ultimately be used to decrease readmission rates. This study included 25,616 hospitalizations of patients under the age of 18 years. Data were extracted from a hospital network electronic medical record. Demographics included LACE scores, age, gender, race/ethnicity, median household income, and medical centers. The primary exposure variable was LACE score. The main outcome measures were readmissions within 7, 14, and 30 days. The area under the curve (AUC) was used to assess the predictive capability of the regression model on patient 30-day admission. LACE scores, age, gender, race/ethnicity, median household income, and medical centers were examined in a multivariable model to assess patient risk of a 30-day readmission. Only age and LACE score were observed to be statistically significant. The AUC for the combined model was 0.69. As only age and LACE score were observed to be statistically significant and the AUC for the combined model was 0.69, this model is considered to have poor predictive capability. In this study, LACE scores, as well the other factors, had a poor predictive capability for pediatric readmissions.

Prognostic value of transthoracic echocardiography score for the prognosis of continuous ambulatory peritoneal dialysis patients

BackgroundWe devoted ourselves to proving that the initial transthoracic echocardiography score (TTES) had predictive significance for patients with continuous ambulatory peritoneal dialysis (CAPD).MethodsIn this retrospective analysis, 274 CAPD patients who had PD therapy were recruited sequentially. TTE exams were performed three months following the start of PD therapy. All patients were divided into two groups based on the strength of their TTES levels. TTES’s predictive value for CAPD patients was then determined using LASSO regression and Cox regression.ResultsDuring a median of 52 months, 46 patients (16.8%) died from all causes, and 32 patients (11.7%) died from cardiovascular disease (CV). The TTES was computed as follows: 0.109 × aortic root diameter (ARD, mm) − 0.976 × LVEF (> 55%, yes or no) + 0.010 × left ventricular max index, (LVMI, g/m2) + 0.035 × E/e’ ratio. The higher TTES value (≥ 3.7) had a higher risk of all-cause death (hazard ratio, HR, 3.70, 95% confidence index, 95%CI, 1.45–9.46, P = 0.006) as well as CV mortality (HR, 2.74, 95%CI 1.15–19.17, P = 0.042). Moreover, the TTES had an attractive predictive efficiency for all-cause mortality (AUC = 0.762, 95%CI 0.645–0.849) and CV mortality (AUC = 0.746, 95%CI 0.640–0.852). The introduced nomogram, which was based on TTES and clinical variables, exhibited a high predictive value for all-cause and CV mortality in CAPD patients.ConclusionTTES is a pretty good predictor of clinical outcomes, and the introduced TTES-based nomogram yields an accurate prediction value for CAPD patients.