MR-based radiomics-clinical nomogram in epithelial ovarian tumor prognosis prediction: tumor body texture analysis across various acquisition protocols

Background Epithelial ovarian cancer (EOC) is the most malignant gynecological tumor in women. This study aimed to construct and compare radiomics-clinical nomograms based on MR images in EOC prognosis prediction. Methods A total of 186 patients with pathologically proven EOC were enrolled and randomly divided into a training cohort (n = 130) and a validation cohort (n = 56). Clinical characteristics of each patient were retrieved from the hospital information system. A total of 1116 radiomics features were extracted from tumor body on T2-weighted imaging (T2WI), T1-weighted imaging (T1WI), diffusion weighted imaging (DWI) and contrast-enhanced T1-weighted imaging (CE-T1WI). Paired sequence signatures were constructed, selected and trained to build a prognosis prediction model. Radiomic-clinical nomogram was constructed based on multivariate logistic regression analysis with radiomics score and clinical features. The predictive performance was evaluated by receiver operating characteristic curve (ROC) analysis, decision curve analysis (DCA) and calibration curve. Results The T2WI radiomic-clinical nomogram achieved a favorable prediction performance in the training and validation cohort with an area under ROC curve (AUC) of 0.866 and 0.818, respectively. The DCA showed that the T2WI radiomic-clinical nomogram was better than other models with a greater clinical net benefit. Conclusion MR-based radiomics analysis showed the high accuracy in prognostic estimation of EOC patients and could help to predict therapeutic outcome before treatment.

Evaluation of blended fertilizer rates for improving production of food barley (Hordeum vulgare L.) in Semen Ari District, Southwestern Ethiopia

Depletion of soil fertility, depletion of macro- and micro-nutrients and soil organic matter and inappropriate and imbalanced fertilizer application are among the most important factors that reduces the food barley production in Ethiopia. Therefore, the experiment was conducted to evaluate NPSB blended fertilizer rate effect on improving production of food barley in Semen Ari District, Southwestern Ethiopia during main cropping season. Control, (142 NPS + 159 Urea) kg ha-1, (150 NPSB + 41 Urea) kg ha-1, (200 NPSB + 72 Urea) kg ha-1, (250 NPSB + 102 Urea) kg ha-1 and (100 NPSB + 161 Urea) kg ha-1 treatments were used for the experiment which laid out in RCBD following three replication with spacing of 20 cm between rows; and HB 1307 improved food barley seeds were drilled on prepared rows. Full dose of blended and potassium fertilizers were applied at planting time and urea was applied in two split. The result revealed that food barley responded well to application of N, P, S and B than the unfertilized one. Application of 100 kg ha-1 NPSB + 161 kg ha-1 Urea resulted in highest grain yield of 3806.3 kg ha-1, while the lowest grain yield of 1939.2 kg ha-1 was recorded from the nil. Moreover, the highest net benefit of 32124.56 ETB ha-1 and economic returns of 942.2% was recorded in response to application of 100 kg ha-1 NPSB + 161 kg ha-1 Urea. Application of 100 kg ha-1 NPSB + 161 kg ha-1 Urea gave 49.05% yield increment and 40.24% increment in economic return over the control. Therefore, we recommend application of 100 kg ha-1 NPSB + 161 kg ha-1 Urea for farmers and investor’s in study area and similar agro-ecologies as it was optimum for improving food barley production. Further studies and investigation should be done on plant nutrient uptake, nutrient use efficiency and over location. Int. J. Agril. Res. Innov. Tech. 11(2): 10-17, Dec 2021

Prognostic value of hepatocyte growth factor for muscle-invasive bladder cancer

Purpose The HGF/MET pathway is involved in cell motility, angiogenesis, proliferation, and cancer invasion. We assessed the clinical utility of plasma HGF level as a prognostic biomarker in patients with MIBC. Methods We retrospectively analyzed 565 patients with MIBC who underwent radical cystectomy. Logistic regression and Cox regression models were used, and predictive accuracies were estimated using the area under the curve and concordance index. To estimate the clinical utility of HGF, DCA and MCID were applied. Results Plasma HGF level was significantly higher in patients with advanced pathologic stage and LN metastasis (p = 0.01 and p < 0.001, respectively). Higher HGF levels were associated with an increased risk of harboring LN metastasis and non-organ-confined disease (OR1.21, 95%CI 1.12–1.32, p < 0.001, and OR1.35, 95%CI 1.23–1.48, p < 0.001, respectively) on multivariable analyses; the addition of HGF improved the predictive accuracies of a standard preoperative model (+ 7%, p < 0.001 and + 8%, p < 0.001, respectively). According to the DCA and MCID, half of the patients had a net benefit by including HGF, but the absolute magnitude remained limited. In pre- and postoperative predictive models, a higher HGF level was significant prognosticator of worse RFS, OS, and CSS; in the preoperative model, the addition of HGF improved accuracies by 6% and 5% for RFS and CSS, respectively. Conclusion Preoperative HGF identified MIBC patients who harbored features of clinically and biologically aggressive disease. Plasma HGF could serve, as part of a panel, as a biomarker to aid in preoperative treatment planning regarding intensity of treatment in patients with clinical MIBC.

Recent insights suggest the need for the STI field to embrace a more eco-social conceptual framework: A viewpoint

A large number of countries are being confronted with twin epidemics of increasing STI incidence and antimicrobial resistance (AMR). This has led to calls to intensify STI screening of high STI prevalence populations. The available evidence suggests that this will have little impact on STI prevalence but a significant deleterious effect on AMR. We suggest that this call to intensify STI screening is one of the several errors that stem from the way that the STI-field has been dominated by a biomedical individualistic conceptual framework. This framework views STIs as obligate pathogens that can and should be eradicated by intensive seek-and-destroy activities. We evaluate five types of evidence that suggest that a multi-level, socio-ecological framework would provide a more accurate portrayal of the important determinants of STI prevalence and AMR spread. By incorporating concepts such as limiting STI screening to scenarios with clear evidence of net-benefit and considering ‘antimicrobial footprint’ thresholds, this framework would be more likely to result in a better balance between targeting STI prevalence whilst minimizing the risk of AMR emerging.

Economic Impact and Cost Benefit of the Inpatient Clinical Pharmacist Interventions in Cancer Care Units

Background: Clinical pharmacists play a key role in ensuring the optimum use of cancer medicines. Yet, the economic benefit of this role has never been assessed in Qatar. Aim: To evaluate the overall economic impact of clinical pharmacist interventions in the main cancer care setting in Qatar. Methods: From the public healthcare perspective, this was an analysis of the total economic benefit and a cost-benefit analysis of the clinical pharmacy interventions. As a study sample size, patient records in March 2018, July/August 2018, and January 2019 were retrospectively reviewed at the National Center for Cancer Care & Research (NCCCR), Qatar. The total benefit from interventions was the total of the cost avoidance due to preventable adverse drug events (ADEs) plus the cost savings associated with therapeutic interventions. The interventions cost was based on salary and increased cost due to therapeutic interventions. The cost-benefit analysis results were presented via net benefit and benefit‐to‐cost ratio measures. Results : Total of 1,352 interventions occurred during the 3-month follow-up period. The total benefit was QAR 196,010,360 (USD53,834,206), constituting cost avoidance of QAR 194,764,534 (USD 53,492,040) and cost savings of QAR 1,245,826 (USD 342,166), mostly due to recommending additional medications and the medication dose reduction. The benefit-to-cost ratio was 174:1 and the annual net benefit was QAR 779,539,440 (USD 214,100,351). Sensitivity analyses confirmed the robustness of results. Conclusion: The clinical pharmacist intervention is a cost-beneficial practice in the NCCCR setting, associated with ADEs prevention and substantial economic benefits, including relative to the interventions cost.

Development of Urinary Diagnostic Biomarker for IgA Nephropathy by Lectin Microarray

<b><i>Introduction:</i></b> The pathogenic roles of aberrantly glycosylated IgA1 have been reported. However, it is unexplored whether the profiling of urinary glycans contributes to the diagnosis of IgAN. <b><i>Methods:</i></b> We conducted a retrospective study enrolling 493 patients who underwent renal biopsy at Okayama University Hospital between December 2010 and September 2017. We performed lectin microarray in urine samples and investigated whether c-statistics of the reference standard diagnosis model employing hematuria, proteinuria, and serum IgA were improved by adding the urinary glycan intensity. <b><i>Results:</i></b> Among 45 lectins, 3 lectins showed a significant improvement of the models: <i>Amaranthus caudatus</i> lectin (ACA) with the difference of c-statistics 0.038 (95% CI: 0.019–0.058, <i>p</i> &#x3c; 0.001), <i>Agaricus bisporus</i> lectin (ABA) 0.035 (95% CI: 0.015–0.055, <i>p</i> &#x3c; 0.001), and <i>Maackia amurensis</i> lectin (MAH) 0.035 (95% CI: 0.015–0.054, <i>p</i> &#x3c; 0.001). In 3 lectins, each signal plus reference standard showed good reclassification (category-free NRI and relative IDI) and good model fitting associated with the improvement of AIC and BIC. Stratified by eGFR, the discriminatory ability of ACA plus reference standard was maintained, suggesting the robust renal function-independent diagnostic performance of ACA. By decision curve analysis, there was a 3.45% net benefit by adding urinary glycan intensity of ACA to the reference standard at the predefined threshold probability of 40%. <b><i>Conclusions:</i></b> The reduction of Gal(β1-3)GalNAc (T-antigen), Sia(α2-3)Gal(β1-3)GalNAc (Sialyl T), and Sia(α2-3)Gal(β1-3)Sia(α2-6)GalNAc (disialyl-T) was suggested by binding specificities of 3 lectins. C1GALT1 and COSMC were responsible for the biosynthesis of these glycans, and they were known to be downregulated in IgAN. The urinary glycan analysis by ACA is a useful and robust noninvasive strategy for the diagnosis of IgAN.

Effectiveness and Cost-Benefit of an Elementary School-Based Telehealth Program

Utilization of telehealth in school-based health centers (SBHCs) is increasing rapidly during the COVID-19 pandemic. This study used a quasi-experimental design to evaluate the effect on school absences and cost-benefit of telehealth-exclusive SBHCs at 6 elementary schools from 2015–2017. The effect of telehealth on absences was estimated compared to students without telehealth using negative binomial regression controlling for absences and health suite visits in 2014 and sociodemographic characteristics. The sample included 7,164 observations from 4,203 students. Telehealth was associated with a 7.7% (p = 0.025; 95% CI: 1.0%, 14%) reduction in absences (0.60 days/year). The program cost $189,000/yr and an estimated total benefit of $384,995 (95% CI: $60,416; $687,479) and an annual net benefit of $195,873 (95% CI: −$128,706; $498,357). While this cost-benefit analysis is limited by a lack of data on total healthcare utilization, the use of telehealth-exclusive SBHCs can improve student health and attendance while delivering cost savings to society.

Development and Validation of a Nomogram Incorporating Colloid Osmotic Pressure for Predicting Mortality in Critically Ill Neurological Patients

Backgrounds: The plasma colloid osmotic pressure (COP) values for predicting mortality are not well-estimated. A user-friendly nomogram could predict mortality by incorporating clinical factors and scoring systems to facilitate physicians modify decision-making when caring for patients with serious neurological conditions.Methods: Patients were prospectively recruited from March 2017 to September 2018 from a tertiary hospital to establish the development cohort for the internal test of the nomogram, while patients recruited from October 2018 to June 2019 from another tertiary hospital prospectively constituted the validation cohort for the external validation of the nomogram. A multivariate logistic regression analysis was performed in the development cohort using a backward stepwise method to determine the best-fit model for the nomogram. The nomogram was subsequently validated in an independent external validation cohort for discrimination and calibration. A decision-curve analysis was also performed to evaluate the net benefit of the insertion decision using the nomogram.Results: A total of 280 patients were enrolled in the development cohort, of whom 42 (15.0%) died, whereas 237 patients were enrolled in the validation cohort, of which 43 (18.1%) died. COP, neurological pathogenesis and Acute Physiology and Chronic Health Evaluation II (APACHE II) score were predictors in the prediction nomogram. The derived cohort demonstrated good discriminative ability, and the area under the receiver operating characteristic curve (AUC) was 0.895 [95% confidence interval (CI), 0.840–0.951], showing good correction ability. The application of this nomogram to the validation cohort also provided good discrimination, with an AUC of 0.934 (95% CI, 0.892–0.976) and good calibration. The decision-curve analysis of this nomogram showed a better net benefit.Conclusions : A prediction nomogram incorporating COP, neurological pathogenesis and APACHE II score could be convenient in predicting mortality for critically ill neurological patients.

tRNAGlyGCC-Derived Internal Fragment (i-tRF-GlyGCC) in Ovarian Cancer Treatment Outcome and Progression

Epithelial ovarian cancer (EOC) remains a highly-lethal gynecological malignancy, characterized by frequent recurrence, chemotherapy resistance and poor 5-year survival. Identifying novel predictive molecular markers remains an overdue challenge in the disease’s clinical management. Herein, in silico analysis of TCGA-OV highlighted the tRNA-derived internal fragment (i-tRF-GlyGCC) among the most abundant tRFs in ovarian tumors, while target prediction and gene ontology (GO) enrichment analysis predicted its implication in key biological processes. Thereafter, i-tRF-GlyGCC levels were quantified in a screening EOC (n = 98) and an institutionally-independent serous ovarian cancer (SOC) validation cohort (n = 100, OVCAD multicenter study). Disease progression and patient death were used as clinical endpoints for the survival analysis. Internal validation was performed by bootstrap analysis and the clinical net benefit was estimated by decision curve analysis. The analysis highlighted the significant association of i-tRF-GlyGCC with advanced FIGO stages, suboptimal debulking and most importantly, with early progression and poor overall survival of EOC patients. The OVCAD validation cohort corroborated the unfavorable predictive value of i-tRF-GlyGCC in EOC. Ultimately, evaluation of i-tRF-GlyGCC with the established/clinically used prognostic markers offered superior patient risk-stratification and enhanced clinical benefit in EOC prognosis. In conclusion, i-tRF-GlyGCC assessment could aid towards personalized prognosis and support precision medicine decisions in EOC.