Tamsulosin 0.8 mg daily dose in management of BPH patients with failed tamsulosin 0.4 mg monotherapy and unfit for surgical intervention.

AIM: This study aims to evaluate the effectiveness and safety of administering double-dose tamsulosin (0.8 mg) for treating patients with benign prostatic hyperplasia (BPH) who have not responded to the standard single dose of tamsulosin (0.4 mg) and are deemed unsuitable for transurethral resection (TUR) intervention. MATERIALS AND METHODS: Between November 2022 and July 2023, we prospectively analyzed 111 patients who were experiencing severe BPH symptoms. These patients received a double dose of tamsulosin for one month. We collected baseline characteristics such as age, body mass index, and underlying medical conditions. Various parameters including the International Prostate Symptom Score (IPSS), prostate-specific antigen (PSA) levels, prostate volume, peak urinary flow rate (Qmax), voided volume, and post-void residual volume were evaluated before and after treatment. RESULTS: All 111 patients completed the study. The mean age, PSA level, and prostate volume were 63.12 ± 4.83 years, 3.42 ± 0.93 ng/ml, and 50.37 ± 19.23 ml, respectively. Of these patients, 93 showed improvement in Qmax, post-void residual volume, and IPSS score (p-value = 0.001). The total IPSS score and total Qmax improved from 24.03 ± 2.49 and 7.72 ± 1.64 ml/sec to 16.41 ± 3.84 and 12.08 ± 2.37 ml/sec, respectively. CONCLUSION: Double-dose 0.8mg tamsulosin as an alpha-blocker therapy appears to be a viable temporary management option for BPH patients who have not responded to the standard single dose 0.4mg tamsulosin and are not suitable candidates for TUR intervention.

Lysophosphatidic Acid-Mediated Inflammation at the Heart of Heart Failure.

PURPOSE OF REVIEW: The primary aim of this review is to provide an in-depth examination of the role bioactive lipids-namely lysophosphatidic acid (LPA) and ceramides-play in inflammation-mediated cardiac remodeling during heart failure. With the global prevalence of heart failure on the rise, it is critical to understand the underlying molecular mechanisms contributing to its pathogenesis. Traditional studies have emphasized factors such as oxidative stress and neurohormonal activation, but emerging research has shed light on bioactive lipids as central mediators in heart failure pathology. By elucidating these intricacies, this review aims to: Bridge the gap between basic research and clinical practice by highlighting clinically relevant pathways contributing to the pathogenesis and prognosis of heart failure. Provide a foundation for the development of targeted therapies that could mitigate the effects of LPA and ceramides on heart failure. Serve as a comprehensive resource for clinicians and researchers interested in the molecular biology of heart failure, aiding in better diagnostic and therapeutic decisions. RECENT FINDINGS: Recent findings have shed light on the central role of bioactive lipids, specifically lysophosphatidic acid (LPA) and ceramides, in heart failure pathology. Traditional studies have emphasized factors such as hypoxia-mediated cardiomyocyte loss and neurohormonal activation in the development of heart failure. Emerging research has elucidated the intricacies of bioactive lipid-mediated inflammation in cardiac remodeling and the development of heart failure. Studies have shown that LPA and ceramides contribute to the pathogenesis of heart failure by promoting inflammation, fibrosis, and apoptosis in cardiac cells. Additionally, recent studies have identified potential targeted therapies that could mitigate the effects of bioactive lipids on heart failure, including LPA receptor antagonists and ceramide synthase inhibitors. These recent findings provide a promising avenue for the development of targeted therapies that could improve the diagnosis and treatment of heart failure. In this review, we highlight the pivotal role of inflammation induced by bioactive lipid signaling and its influence on the pathogenesis of heart failure. By critically assessing the existing literature, we provide a comprehensive resource for clinicians and researchers interested in the molecular mechanisms of heart failure. Our review aims to bridge the gap between basic research and clinical practice by providing actionable insights and a foundation for the development of targeted therapies that could mitigate the effects of bioactive lipids on heart failure. We hope that this review will aid in better diagnostic and therapeutic decisions, further advancing our collective understanding and management of heart failure.

Prognostic Implication of Pre-Cannulation Cardiac Arrest in Patients Undergoing Extracorporeal Membrane Oxygenation for the Management of Cardiogenic Shock.

BACKGROUND: The application of veno-arterial extracorporeal membrane oxygenation (VA-ECMO) in contemporary management of cardiogenic shock (CS) has dramatically increased. Despite increased utilization, few predictive models exist to estimate patient survival based on pre-ECMO characteristics. Furthermore, the prognostic implications of pre-ECMO cardiac arrest are not well defined. METHODS: Utilizing an institutional VA-ECMO database, all consecutive patients undergoing VA-ECMO for the management of CS from January 1, 2014, to July 1, 2019, were identified. Survival to hospital discharge was analyzed based on cannulation indication in patients with and without pre-ECMO cardiac arrest. Patients who received extracorporeal cardiopulmonary resuscitation (eCPR) were analyzed separately. RESULTS: Of the 214 patients identified, 110 did not suffer a cardiac arrest prior to cannulation (cohort 1), 57 patients had a cardiac arrest with sustained ROSC (cohort 2), and 47 were cannulated as a component of eCPR (cohort 3). Despite sustained ROSC (cohort 2), the presence of pre-ECMO cardiac arrest was associated with a significant reduction in survival to hospital discharge (22.8% vs. 55.5% in cohort 1; p < 0.001). Comparatively, survival to discharge was similar in patients undergoing eCPR (22.8% vs. 17.0%; p = 0.464). Finally, patients with a cardiac arrest were significantly more likely to have a neurological etiology death with VA-ECMO than patients supported prior to hemodynamic collapse (18.3% vs. 2.7%; p < 0.001). This result is seen in those with sustained ROSC (21.1% vs. 2.7%; p < 0.001) and those with eCPR (14.9% vs. 2.7%; p = 0.004). CONCLUSION: In our cohort, pre-ECMO cardiac arrest carries a negative prognostic value across all indications and is associated with an increased prevalence of neurological-etiology death. This finding is true in patients with sustained ROSC as well as those resuscitated with eCPR. Cardiac arrest can inform survival probability with VA-ECMO as early implementation of VA-ECMO may mitigate adverse outcomes in patients at the highest risk of hemodynamic collapse.

Enhanced Deep Learning Approach for Accurate Eczema and Psoriasis Skin Detection.

This study presents an enhanced deep learning approach for the accurate detection of eczema and psoriasis skin conditions. Eczema and psoriasis are significant public health concerns that profoundly impact individuals' quality of life. Early detection and diagnosis play a crucial role in improving treatment outcomes and reducing healthcare costs. Leveraging the potential of deep learning techniques, our proposed model, named "Derma Care," addresses challenges faced by previous methods, including limited datasets and the need for the simultaneous detection of multiple skin diseases. We extensively evaluated "Derma Care" using a large and diverse dataset of skin images. Our approach achieves remarkable results with an accuracy of 96.20%, precision of 96%, recall of 95.70%, and F1-score of 95.80%. These outcomes outperform existing state-of-the-art methods, underscoring the effectiveness of our novel deep learning approach. Furthermore, our model demonstrates the capability to detect multiple skin diseases simultaneously, enhancing the efficiency and accuracy of dermatological diagnosis. To facilitate practical usage, we present a user-friendly mobile phone application based on our model. The findings of this study hold significant implications for dermatological diagnosis and the early detection of skin diseases, contributing to improved healthcare outcomes for individuals affected by eczema and psoriasis.

A Novel 3D Reversible Data Hiding Scheme Based on Integer-Reversible Krawtchouk Transform for IoMT.

To avoid rounding errors associated with the limited representation of significant digits when applying the floating-point Krawtchouk transform in image processing, we present an integer and reversible version of the Krawtchouk transform (IRKT). This proposed IRKT generates integer-valued coefficients within the Krawtchouk domain, seamlessly aligning with the integer representation commonly utilized in lossless image applications. Building upon the IRKT, we introduce a novel 3D reversible data hiding (RDH) algorithm designed for the secure storage and transmission of extensive medical data within the IoMT (Internet of Medical Things) sector. Through the utilization of the IRKT-based 3D RDH method, a substantial amount of additional data can be embedded into 3D carrier medical images without augmenting their original size or compromising information integrity upon data extraction. Extensive experimental evaluations substantiate the effectiveness of the proposed algorithm, particularly regarding its high embedding capacity, imperceptibility, and resilience against statistical attacks. The integration of this proposed algorithm into the IoMT sector furnishes enhanced security measures for the safeguarded storage and transmission of massive medical data, thereby addressing the limitations of conventional 2D RDH algorithms for medical images.

Internet of Medical Things and Healthcare 4.0: Trends, Requirements, Challenges, and Research Directions.

Healthcare 4.0 is a recent e-health paradigm associated with the concept of Industry 4.0. It provides approaches to achieving precision medicine that delivers healthcare services based on the patient's characteristics. Moreover, Healthcare 4.0 enables telemedicine, including telesurgery, early predictions, and diagnosis of diseases. This represents an important paradigm for modern societies, especially with the current situation of pandemics. The release of the fifth-generation cellular system (5G), the current advances in wearable device manufacturing, and the recent technologies, e.g., artificial intelligence (AI), edge computing, and the Internet of Things (IoT), are the main drivers of evolutions of Healthcare 4.0 systems. To this end, this work considers introducing recent advances, trends, and requirements of the Internet of Medical Things (IoMT) and Healthcare 4.0 systems. The ultimate requirements of such networks in the era of 5G and next-generation networks are discussed. Moreover, the design challenges and current research directions of these networks. The key enabling technologies of such systems, including AI and distributed edge computing, are discussed.

AuCFSR: Authentication and Color Face Self-Recovery Using Novel 2D Hyperchaotic System and Deep Learning Models.

Color face images are often transmitted over public channels, where they are vulnerable to tampering attacks. To address this problem, the present paper introduces a novel scheme called Authentication and Color Face Self-Recovery (AuCFSR) for ensuring the authenticity of color face images and recovering the tampered areas in these images. AuCFSR uses a new two-dimensional hyperchaotic system called two-dimensional modular sine-cosine map (2D MSCM) to embed authentication and recovery data into the least significant bits of color image pixels. This produces high-quality output images with high security level. When tampered color face image is detected, AuCFSR executes two deep learning models: the CodeFormer model to enhance the visual quality of the recovered color face image and the DeOldify model to improve the colorization of this image. Experimental results demonstrate that AuCFSR outperforms recent similar schemes in tamper detection accuracy, security level, and visual quality of the recovered images.

C-Reactive Protein Levels and Risk of Cardiovascular Diseases: A Two-Sample Bidirectional Mendelian Randomization Study.

Elevated C-reactive protein (CRP) levels are an indicator of inflammation, a major risk factor for cardiovascular disease (CVD). However, this potential association in observational studies remains inconclusive. We performed a two-sample bidirectional Mendelian randomization (MR) study using publicly available GWAS summary statistics to evaluate the relationship between CRP and CVD. Instrumental variables (IVs) were carefully selected, and multiple approaches were used to make robust conclusions. Horizontal pleiotropy and heterogeneity were evaluated using the MR-Egger intercept and Cochran's Q-test. The strength of the IVs was determined using F-statistics. The causal effect of CRP on the risk of hypertensive heart disease (HHD) was statistically significant, but we did not observe a significant causal relationship between CRP and the risk of myocardial infarction, coronary artery disease, heart failure, or atherosclerosis. Our primary analyses, after performing outlier correction using MR-PRESSO and the Multivariable MR method, revealed that IVs that increased CRP levels also increased the HHD risk. However, after excluding outlier IVs identified using PhenoScanner, the initial MR results were altered, but the sensitivity analyses remained congruent with the results from the primary analyses. We found no evidence of reverse causation between CVD and CRP. Our findings warrant updated MR studies to confirm the role of CRP as a clinical biomarker for HHD.

Prognostic Significance of Activated Monocytes in Patients with ST-Elevation Myocardial Infarction.

Circulating monocytes have different subsets, including classical (CD14++CD16-), intermediate (CD14++CD16+), and nonclassical (CD14+CD16++), which play different roles in cardiovascular physiology and disease progression. The predictive value of each subset for adverse clinical outcomes in patients with coronary artery disease is not fully understood. We sought to evaluate the prognostic efficacy of each monocyte subset in patients with ST-elevation myocardial infarction (STEMI). We recruited 100 patients with STEMI who underwent primary percutaneous coronary intervention (PCI). Blood samples were collected at the time of presentation to the hospital (within 6 h from onset of symptoms, baseline (BL)) and then at 3, 6, 12, and 24 h after presentation. Monocytes were defined as CD45+/HLA-DR+ and then subdivided based on the expression of CD14, CD16, CCR2, CD11b, and CD42. The primary endpoint was a composite of all-cause death, hospitalization for heart failure, stent thrombosis, in-stent restenosis, and recurrent myocardial infarction. Univariate and multivariate Cox proportional hazards models, including baseline comorbidities, were performed. The mean age of our cohort was 58.9 years and 25% of our patients were females. Patients with high levels (above the median) of CD14+CD16++ monocytes showed an increased risk for the primary endpoint in comparison to patients with low levels; adjusted hazard ratio (aHR) for CD14+/CD16++ cells was 4.3 (95% confidence interval (95% CI) 1.2-14.8, p = 0.02), for CD14+/CD16++/CCR2+ cells was 3.82 (95% CI 1.06-13.7, p = 0.04), for CD14+/CD16++/CD42b+ cells was 3.37 (95% CI 1.07-10.6, p = 0.03), for CD14+/CD16++/CD11b+ was 5.17 (95% CI 1.4-18.0, p = 0.009), and for CD14+ HLA-DR+ was 7.5 (95% CI 2.0-28.5, p = 0.002). CD14++CD16-, CD14++CD16+, and their CD11b+, CCR2+, and CD42b+ aggregates were not significantly predictive for our composite endpoint. Our study shows that CD14+ CD16++ monocytes and their subsets expressing CCR2, CD42, and CD11b could be important predictors of clinical outcomes in patients with STEMI. Further studies with a larger sample size and different coronary artery disease phenotypes are needed to verify the findings.

Synthesis and In Vitro Anticancer Evaluation of Flavone-1,2,3-Triazole Hybrids.

Hybrid compounds of flavones, namely chrysin and kaempferol, and substituted 1,2,3-triazole derivatives, were synthesized by click reaction of the intermediate O-propargyl derivatives. 4-Fluoro- and 4-nitrobenzyl-1,2,3-triazole-containing hybrid molecules were prepared. The mono- and bis-coupled hybrids were investigated on 60 cell lines of 9 common cancer types (NCI60) in vitro as antitumor agents. Some of them proved to have a significant antiproliferative effect.

The Quality of Operative Performance Narrative Feedback: A Retrospective Data Comparison Between End of Rotation Evaluations and Workplace-based Assessments.

OBJECTIVE: To describe the quality of operative performance feedback using evaluation tools commonly used by general surgery residency training programs. SUMMARY OF BACKGROUND DATA: The majority of surgical training programs administer an evaluation through which faculty members may rate and comment on trainee operative performance at the end of the rotation (EOR). Many programs have also implemented the system for improving and measuring procedural learning (SIMPL), a workplace-based assessment tool with which faculty can rate and comment on a trainee's operative performance immediately after a case. It is unknown how the quality of narrative operative performance feedback delivered with these tools compares. METHODS: The authors collected EOR evaluations and SIMPL narrative comments on trainees' operative performance from 3 university-based surgery training programs during the 2016-2017 academic year. Two surgeon raters categorized comments relating to operative skills as being specific or general and as encouraging and/or corrective. Comments were then classified as effective, mediocre, ineffective, or irrelevant. The frequencies with which comments were rated as effective were compared using Chi-square analysis. RESULTS: The authors analyzed a total of 600 comments. 10.7% of EOR and 58.3% of SIMPL operative performance evaluation comments were deemed effective (P < 0.0001). CONCLUSIONS: Evaluators give significantly higher quality operative performance feedback when using workplace-based assessment tools rather than EOR evaluations.

Predicting mortality in nonsurgical patients before cannulation for veno-arterial extracorporeal life support: Development and validation of the LACT-8 score.

OBJECTIVES: We sought to derive and validate a model to predict inpatient mortality after veno-arterial extracorporeal life support (VA-ECLS) based on readily available, precannulation clinical data. BACKGROUND: Refractory cardiogenic shock supported by VA-ECLS is associated with high morbidity and mortality. METHODS: VA-ECLS cases at our institution from January 2014 through July 2019 were retrospectively reviewed. Exclusion criteria were cannulation: (1) at another institution; (2) for primary surgical indication; or (3) for extracorporeal cardiopulmonary resuscitation. Multivariable logistic regression compared those with and without inpatient mortality. Multiple imputation was performed and optimism-adjusted area under the curve (oAUC) values were computed. RESULTS: VA-ECLS cases from August 2019 through November 2020 were identified as a validation cohort. In the derivation cohort (n = 135), the final model included Lactate (mmol/L), hemoglobin (g/dl; Anemia), Coma (Glasgow Coma Scale [GCS] < 8) and resusciTATEd cardiac arrest (LACTATE score; oAUC = 0.760). In the validation cohort (n = 30, LACTATE showed similar predictability [AUC = 0.710]). A simplified (LACT-8) score was derived by dichotomizing lactate (>8) and hemoglobin (<8) and summing together the number of components for each patient. LACT-8 performed similarly (derivation, oAUC = 0.724; validation, AUC = 0.725). In the derivation cohort, both scores outperformed SAVE (oAUC = 0.568) and SOFA (oAUC = 0.699) scores. A LACT-8 ≥ 3 had a specificity for mortality of 97.9% and 92.9%, in the derivation and validation cohorts, respectively. CONCLUSIONS: The LACT-8 score can predict inpatient mortality prior to before cannulation for VA-ECLS. LACT-8 can be implemented utilizing clinical data without the need for an online calculator.

Multimedia Cryptosystem for IoT Applications Based on a Novel Chaotic System around a Predefined Manifold.

Multimedia data play an important role in our daily lives. The evolution of internet technologies means that multimedia data can easily participate amongst various users for specific purposes, in which multimedia data confidentiality and integrity have serious security issues. Chaos models play an important role in designing robust multimedia data cryptosystems. In this paper, a novel chaotic oscillator is presented. The oscillator has a particular property in which the chaotic dynamics are around pre-located manifolds. Various dynamics of the oscillator are studied. After analyzing the complex dynamics of the oscillator, it is applied to designing a new image cryptosystem, in which the results of the presented cryptosystem are tested from various viewpoints such as randomness, time encryption, correlation, plain image sensitivity, key-space, key sensitivity, histogram, entropy, resistance to classical types of attacks, and data loss analyses. The goal of the paper is proposing an applicable encryption method based on a novel chaotic oscillator with an attractor around a pre-located manifold. All the investigations confirm the reliability of using the presented cryptosystem for various IoT applications from image capture to use it.

Location and Time Aware Multitask Allocation in Mobile Crowd-Sensing Based on Genetic Algorithm.

Mobile crowd-sensing (MCS) is a well-known paradigm used for obtaining sensed data by using sensors found in smart devices. With the rise of more sensing tasks and workers in the MCS system, it is now essential to design an efficient approach for task allocation. Moreover, to ensure the completion of the tasks, it is necessary to incentivise the workers by rewarding them for participating in performing the sensing tasks. In this paper, we aim to assist workers in selecting multiple tasks while considering the time constraint of the worker and the requirements of the task. Furthermore, a pricing mechanism is adopted to determine each task budget, which is then used to determine the payment for the workers based on their willingness factor. This paper proves that the task-allocation is a non-deterministic polynomial (NP)-complete problem, which is difficult to solve by conventional optimization techniques. A worker multitask allocation-genetic algorithm (WMTA-GA) is proposed to solve this problem to maximize the workers welfare. Finally, theoretical analysis demonstrates the effectiveness of the proposed WMTA-GA. We observed that it performs better than the state-of-the-art algorithms in terms of average performance, workers welfare, and the number of assigned tasks.

Efficient Entropic Security with Joint Compression and Encryption Approach Based on Compressed Sensing with Multiple Chaotic Systems.

This paper puts forward a new algorithm that utilizes compressed sensing and two chaotic systems to complete image compression and encryption concurrently. First, the hash function was utilized to obtain the initial parameters of two chaotic maps, which were the 2D-SLIM and 2D-SCLMS maps, respectively. Second, a sparse coefficient matrix was transformed from the plain image through discrete wavelet transform. In addition, one of the chaotic sequences created by 2D-SCLMS system performed pixel transformation on the sparse coefficient matrix. The other chaotic sequences created by 2D-SLIM were utilized to generate a measurement matrix and perform compressed sensing operations. Subsequently, the matrix rotation was combined with row scrambling and column scrambling, respectively. Finally, the bit-cycle operation and the matrix double XOR were implemented to acquire the ciphertext image. Simulation experiment analysis showed that the compressed encryption scheme has advantages in compression performance, key space, and sensitivity, and is resistant to statistical attacks, violent attacks, and noise attacks.

An Efficient Routing Protocol for Quantum Key Distribution Networks.

Quantum key distribution (QKD) can provide point-to-point information-theoretic secure key services for two connected users. In fact, the development of QKD networks needs more focus from the scientific community in order to broaden the service scale of QKD technology to deliver end-to-end secure key services. Of course, some recent efforts have been made to develop secure communication protocols based on QKD. However, due to the limited key generation capability of QKD devices, high quantum secure key utilization is the major concern for QKD networks. Since traditional routing techniques do not account for the state of quantum secure keys on links, applying them in QKD networks directly will result in underutilization of quantum secure keys. Therefore, an efficient routing protocol for QKD networks, especially for large-scale QKD networks, is desperately needed. In this study, an efficient routing protocol based on optimized link-state routing, namely QOLSR, is proposed for QKD networks. QOLSR considerably improves quantum key utilization in QKD networks through link-state awareness and path optimization. Simulation results demonstrate the validity and efficiency of the proposed QOLSR routing protocol. Most importantly, with the growth of communication traffic, the benefit becomes even more apparent.

Neutrophil-Derived S100A8/A9 Amplify Granulopoiesis After Myocardial Infarction.

BACKGROUND: Myocardial infarction (MI) triggers myelopoiesis, resulting in heightened production of neutrophils. However, the mechanisms that sustain their production and recruitment to the injured heart are unclear. METHODS: Using a mouse model of the permanent ligation of the left anterior descending artery and flow cytometry, we first characterized the temporal and spatial effects of MI on different myeloid cell types. We next performed global transcriptome analysis of different cardiac cell types within the infarct to identify the drivers of the acute inflammatory response and the underlying signaling pathways. Using a combination of genetic and pharmacological strategies, we identified the sequelae of events that led to MI-induced myelopoiesis. Cardiac function was assessed by echocardiography. The association of early indexes of neutrophilia with major adverse cardiovascular events was studied in a cohort of patients with acute MI. RESULTS: Induction of MI results in rapid recruitment of neutrophils to the infarct, where they release specific alarmins, S100A8 and S100A9. These alarmins bind to the Toll-like receptor 4 and prime the nod-like receptor family pyrin domain-containing 3 inflammasome in naïve neutrophils and promote interleukin-1ß secretion. The released interleukin-1ß interacts with its receptor (interleukin 1 receptor type 1) on hematopoietic stem and progenitor cells in the bone marrow and stimulates granulopoiesis in a cell-autonomous manner. Genetic or pharmacological strategies aimed at disruption of S100A8/A9 and their downstream signaling cascade suppress MI-induced granulopoiesis and improve cardiac function. Furthermore, in patients with acute coronary syndrome, higher neutrophil count on admission and after revascularization correlates positively with major adverse cardiovascular disease outcomes. CONCLUSIONS: Our study provides novel evidence for the primary role of neutrophil-derived alarmins (S100A8/A9) in dictating the nature of the ensuing inflammatory response after myocardial injury. Therapeutic strategies aimed at disruption of S100A8/A9 signaling or their downstream mediators (eg, nod-like receptor family pyrin domain-containing 3 inflammasome, interleukin-1ß) in neutrophils suppress granulopoiesis and may improve cardiac function in patients with acute coronary syndrome.

Value of early second session shock wave lithotripsy in treatment of upper ureteric stones compared to laser ureteroscopy.

PURPOSE: The safety and efficacy of early second session shock wave lithotripsy (SWL) compared with laser ureteroscopy (URS) for the treatment of upper ureteric stones were evaluated. METHODS: From January to October 2019, 108 patients with upper ureteric stones (< 1.5 cm and ≤ 1000 Hounsfield unit (HU)) were randomized into SWL and laser URS groups. The second SWL session was performed within 48-72 h of the first session. Using plain abdominal X-ray and ultrasonography, patients were evaluated 48-72 h after the first SWL session and one week after the second and third SWL sessions or one week after URS. The procedure was considered a success when no additional procedures were needed to clear the stone. To determine the stone-free rate (SFR), noncontrast computed tomography of the urinary tract was performed three months postoperatively. RESULTS: In the SWL group, the success rates were 92.6% and 94.4% after the second and third sessions. The SFR was 96.2% in the laser URS group. The success rates were not significantly different between the second and third SWL sessions versus the laser URS (p = 0.418 and 0.660, respectively). Operative and fluoroscopy times were significantly longer in the SWL group (p = 0.001), and JJ stent insertions were needed after laser URS. CONCLUSION: Ultraslow full-power SWL treatment of patients with upper ureteric stones (< 1.5 cm and ≤ 1000 HU) with an early second session is safe and effective compared to laser URS. Patients who do not respond to early second SWL session should be shifted to another treatment modality.

Cangrelor in addition to standard therapy reduces cardiac damage and inflammatory markers in patients with ST-segment elevation myocardial infarction.

Although P2Y12 receptor blockers have become a standard, adjunctive therapy in patients with ST-segment elevation myocardial infarction (STEMI) undergoing percutaneous coronary intervention (PCI), the optimal regimen has not been established. We performed a prospective, open-label, randomized study to investigate the effect of cangrelor administration on platelet function and inflammation in patients with primary PCI (PPCI). Twenty-two patients were randomized to receive either cangrelor and ticagrelor or ticagrelor alone (standard group) before PPCI. Platelet reactivity was evaluated at baseline (before PCI), 10 min and the end of the procedure. At baseline, there was no significant difference in platelet reactivity between both groups, whereas platelets were significantly inhibited at 10 min after initiating cangrelor vs. standard (adenosine-diphosphate-induced aggregation 102.2 ± 24.88 vs. 333.4 ± 63.3, P < 0.05 and thrombin-receptor-activating-peptide-induced aggregation 285.8 ± 86.1 vs. 624.8 ± 106.0, P < 0.05). Lower platelet aggregation in the cangrelor group persisted but the difference was reduced by the end of the procedure. Circulating inflammatory cells, pro-inflammatory cytokines, total elastase, and surrogates of neutrophil extracellular traps (total elastase-myeloperoxidase complexes) were significantly lower in the cangrelor compared to the standard therapy group at 6 h after randomization. There was a trend towards reduction in cardiac damage in the cangrelor group as reflected by the changes in late gadolinium enhancement between 48 h and 3 months after STEMI. Early administration of cangrelor in STEMI patients was associated with more effective platelet inhibition during PPCI and significantly dampened the deleterious inflammatory response compared to standard therapy (NCT03043274).

Comparative Effectiveness of Anti-Inflammatory Drug Treatments in Coronary Heart Disease Patients: A Systematic Review and Network Meta-Analysis.

METHODS: We conducted a network meta-analysis of randomized controlled trials that studied the effects of anti-inflammatory medications on cardiovascular outcomes of coronary artery disease patients. We searched the electronic database until March 2020 for relevant studies. RESULTS: Nineteen trials examining the efficacy of eight anti-inflammatory medications (pexelizumab, anakinra, colchicine, darapladib, varespladib, canakinumab, inclacumab, and losmapimod) were selected for analysis. Overall, there is no statistically significant difference in all-cause mortality, cardiovascular mortality, revascularization, and major cardio and cerebrovascular events (MACCE) with the use of anti-inflammatory drugs. However, we found the use of colchicine significantly reduces the odds of developing stroke by approximately 75% (OR 0.26, CI 0.10-0.63). Colchicine use was also associated with a lower risk of revascularization and MACCE compared to the other agents. Our subgroup analyses comparing the timing of medication initiation (within 7 days vs. >7 days) and clinical presentation (ACS vs. non-ACS) revealed a significant reduction in the risk of recurrent MI in the group that received medication after seven days (OR 0.92, CI 0.86-0.99) and the non-ACS group (OR 0.88, CI 0.80-0.98). CONCLUSION: Although many anti-inflammatory medications have failed to reduce adverse cardiovascular outcomes in the CAD population, selected medications show promise among subgroups of patients without ACS or after the first week following an acute ischemic event. Future studies examining the proper timing and targetable anti-inflammatory pathways are warranted.