Semaglutide for the prevention of atrial fibrillation: A systematic review and meta-analysis.

BACKGROUND: Semaglutide, a glucagon-like peptide-1 receptor agonist, is reported to have cardiac benefits, but its effects on preventing atrial fibrillation (AF) remain inconclusive. This study aimed to investigate whether semaglutide can prevent AF occurrence in patients with type 2 diabetes mellitus (T2DM), obesity, or overweight. METHODS: We searched MEDLINE, EMBASE, the Cochrane CENTRAL database, and clinicaltrials.gov from inception to December 29, 2023. Randomized controlled trials of semaglutide in patients with T2DM, obesity, or overweight were included. The primary outcome was AF occurrence. Relative risks (RRs) with 95 % confidence intervals (CIs) were calculated for the overall population and subgroups. RESULTS: Twenty-one trials comprising 25957 patients were included. In the overall pooled analysis, semaglutide decreased AF occurrence compared to control drugs (RR 0.70, 95 % CI 0.52-0.95). This result was consistent in trials using other antihyperglycemic medications as controls (RR 0.43, 95 % CI 0.21-0.89), but not in placebo-controlled trials (RR 0.77, 95 % CI 0.56-1.07). The outcome was favorable for patients with T2DM (RR 0.71, 95 % CI 0.52-0.97), but not for patients with overweight or obesity (RR 0.56, 95 % CI 0.18-1.73). Results varied by type of semaglutide, with oral semaglutide showing an RR of 0.49 (95 % CI 0.25-0.97) and subcutaneous semaglutide showing an RR of 0.77 (95 % CI 0.55-1.07). CONCLUSION: Semaglutide was associated with a reduced risk of AF occurrence in the overall analysis. Favorable outcomes were observed in subsets using other antihyperglycemic medications as controls, in patients with T2DM, and with oral semaglutide.

Sandwiched-structure fabric-based high-performance moisture-enabled electricity generators for the power supply of small electronics.

In response to the energy crisis caused by the exhaustion of fossil energy sources, as well as to combat global warming and achieve carbon neutrality, a sandwiched-structure fabric-based moisture-enabled electricity generator (SMEG) has been developed. Cotton fabric coated with MWCNT and PEDOT: PSS solution is used as the upper and bottom electrodes, while the acid-treated cotton fabric with coating PVA and HCl hydrogel electrolyte serves as the middle layer. A single SMEG can generate a maximum open-circuit voltage (Voc) of 0.44 V and a maximum short-circuit current (Isc) of 30 µA. When a drop of LiCl is dripped on one side of SMEGs, the maximum Voc and Isc increases to 0.57 V and 66 µA, respectively. The decline in output performance slows down when LiCl is applied. The Voc increases almost linearly in series and reaches 3.55 V when six SMEGs are connected, while the Isc increases linearly in parallel and reaches 204 µA when six SMEGs are connected. The maximum power density of a single SMEG yields 0.29 µW/cm2 with an external resistance of 1 kΩ. The series connection of six SMEGs successfully lit an LED and a calculator under ambient humidity conditions, demonstrating their potential application in small electronics.

Potential analgesic effect of a novel cannabidiol nanocrystals powder for the treatment of neuropathic pain.

BACKGROUND: The current analgesics often prevent patients from getting effective treatment due to their adverse effects. Cannabidiol (CBD) is well tolerated, has few side effects and has been extensively investigated in analgesia. However, its oral bioavailability is extremely low. In order to solve this problem, we developed the cannabidiol nanocrystals (CBD-NC) in the earlier stage. METHODS: In this study, we evaluated the nociceptive behaviours associated with neuropathic pain (NP) induced by the spared nerve injury (SNI) model. Assessment of pain threshold was evaluated by paw withdraw threshold (PWT) and paw withdrawal latency (PWL). The improving effect on the motor dysfunction was determined by rota-rod testing. To assess the neuroprotective effect, nerve demyelination and expression of peripheral myelin protein PMP22 were measured with myelin sheath staining and western blotting. Protein expressions in microglia of spinal cord were tested by western blot to explore the underlying mechanism. RESULTS: Compared with the CBD oil solution, CBD-NC significantly reduced mechanical allodynia and thermal hyperalgesia in rats. CBD-NC could improve motor dysfunction induced by SNI in rats, significantly reverse the demyelination and increase the expression of the marker protein of peripheral myelin. Underlying spinal analgesic mechanism of microglia and related factors were preliminarily confirmed. CONCLUSIONS: CBD-NC administration is an effective treatment for NP associated with SNI, and the analgesic effect of CBD-NC was significantly better than that of CBD oil sol. By contrast, CBD-NC has a fast-acting and long-term effect in the treatment of NP. Our study further supports the potential therapeutic effect of CBD-NC on NP. SIGNIFICANCE: The absolute bioavailability of the CBD-NC intramuscular injection formulation can reach 203.31%, which can solve the problem of low oral bioavailability. This research evaluated the therapeutic effect of CBD-NC on NP associated with the SNI model for the first time. All available date showed that whatever the analgesic or neuroprotective effect of CBD-NC, it was significantly better than that of CBD oil sol., which was consistent with the results of the pharmacokinetic. This research supports the initiation of more trials testing the efficacy of CBD-NC for treating NP.

Measurement of the distance between tumor micro-foci and gross tumor in rectal cancer pathological specimens: implication on margin distance of clinical target volume treated with high-dose radiotherapy for rectal cancer.

PURPOSE: To measure the micro-foci distance away from gross tumor and to provide reference to create the clinical target volume (CTV) margin for boost radiotherapy in rectal adenocarcinoma. METHODS: Twenty-eight rectal cancer surgical specimens of only total mesorectal excision were collected. The pathological specimens were retrospectively measured, and the nearest distance between the tumor micro-foci and gross tumor was microscopically measured. The "in vivo-in vitro" retraction factor was calculated as the ratio of the deepest thickness laterally and the vertical height superior/inferiorly of the rectal tumor measured in MRI and those measured in immediate pathological specimens. The retraction factor during pathological specimen processing was calculated as the distance ratio before and after dehydration in the lateral, superior, and inferior sides by the "knot marking method." The distances of tumor micro-foci were individually corrected with these two retraction factors. RESULTS: The mean "in vivo-in vitro" tumor retraction factors were 0.913 peripherally and 0.920 superior/inferiorly. The mean tumor specimen processing retraction factors were 0.804 peripherally, 0.815 inferiorly, and 0.789 superiorly. Of 28 patients, 14 cases (50.0%) had 24 lateral micro-foci, 8 cases (28.6%) had 13 inferior micro-foci, and 7 cases (25.0%) had 19 superior micro-foci. The 95th percentiles of the micro-foci distance for 28 patients were 6.44 mm (peripheral), 5.54 mm (inferior), and 5.42 mm (superior) after retraction correction. CONCLUSION: The micro-foci distances of 95% of rectal adenocarcinoma patients examined were within 6.44 mm peripherally, 5.54 mm inferiorly, and 5.42 mm superiorly. These findings provide reference to set the boost radiotherapy CTV margin for rectal cancer.

The value of deep learning-based X-ray techniques in detecting and classifying K-L grades of knee osteoarthritis: a systematic review and meta-analysis.

OBJECTIVES: Knee osteoarthritis (KOA), a prevalent degenerative joint disease, is primarily diagnosed through X-ray imaging. The Kellgren-Lawrence grading system (K-L) is the gold standard for evaluating KOA severity through X-ray analysis. However, this method is highly subjective and non-quantifiable, limiting its effectiveness in detecting subtle joint changes on X-rays. Recent researchers have been directed towards developing deep-learning (DL) techniques for a more accurate diagnosis of KOA using X-ray images. Despite advancements in these intelligent methods, the debate over their diagnostic sensitivity continues. Hence, we conducted the current meta-analysis. METHODS: A comprehensive search was conducted in PubMed, Cochrane, Embase, Web of Science, and IEEE up to July 11, 2023. The QUADAS-2 tool was employed to assess the risk of bias in the included studies. Given the multi-classification nature of DL tasks, the sensitivity of DL across different K-L grades was meta-analyzed. RESULTS: A total of 19 studies were included, encompassing 62,158 images. These images consisted of 22,388 for K-L0, 13,415 for K-L1, 15,597 for K-L2, 7768 for K-L3, and 2990 for K-L4. The meta-analysis demonstrated that the sensitivity of DL was 86.74% for K-L0 (95% CI: 80.01%-92.28%), 64.00% for K-L1 (95% CI: 51.81%-75.35%), 75.03% for K-L2 (95% CI: 66.00%-83.09%), 84.76% for K-L3 (95% CI: 78.34%-90.25%), and 90.32% for K-L4 (95% CI: 85.39%-94.40%). CONCLUSIONS: The DL multi-classification methods based on X-ray imaging generally demonstrate a favorable sensitivity rate (over 50%) in distinguishing between K-L0-K-L4. Specifically, for K-L4, the sensitivity is highly satisfactory at 90.32%. In contrast, the sensitivity rates for K-L1-2 still need improvement. CLINICAL RELEVANCE STATEMENT: Deep-learning methods have been useful to some extent in assessing the effectiveness of X-rays for osteoarthritis of the knee. However, this requires further research and reliable data to provide specific recommendations for clinical practice. KEY POINTS: X-ray deep-learning (DL) methods are debatable for evaluating knee osteoarthritis (KOA) under The Kellgren-Lawrence system (K-L). Multi-classification deep-learning methods are more clinically relevant for assessing K-L grading than dichotomous results. For K-L3 and K-L4, X-ray-based DL has high diagnostic performance; early KOA needs to be further improved.

Energy-Efficient, Cluster-Based Routing Protocol for Wireless Sensor Networks Using Fuzzy Logic and Quantum Annealing Algorithm.

The main limitation of wireless sensor networks (WSNs) lies in their reliance on battery power. Therefore, the primary focus of the current research is to determine how to transmit data in a rational and efficient way while simultaneously extending the network's lifespan. In this paper, a hybrid of a fuzzy logic system and a quantum annealing algorithm-based clustering and routing protocol (FQA) is proposed to improve the stability of the network and minimize energy consumption. The protocol uses a fuzzy inference system (FIS) to select appropriate cluster heads (CHs). In the routing phase, we used the quantum annealing algorithm to select the optimal route from the CHs and the base station (BS). Furthermore, we defined an energy threshold to filter candidate CHs in order to save computation time. Unlike with periodic clustering, we adopted an on-demand re-clustering mechanism to perform global maintenance of the network, thereby effectively reducing the computation and overhead. The FQA was compared with FRNSEER, BOA-ACO, OAFS-IMFO, and FC-RBAT in different scenarios from the perspective of energy consumption, alive nodes, network lifetime, and throughput. According to the simulation results, the FQA outperformed all the other methods in all scenarios.

Qualification rate and associated factors regarding COVID-19 clinical skills training based on scenario simulation teaching to medical staffs in China: a hospital-based cross-sectional study.

BACKGROUND: The coronavirus disease (COVID-19) pandemic has accentuated the need for effective clinical skills training in infectious diseases. This study aimed to explore the influencing factors of infectious disease clinical skills training based on scenario simulation teaching for medical staff in China. METHODS: This hospital-based, cross-sectional study was conducted at the Third People's Hospital of Shenzhen between March and December 2022. Scenario simulation teaching was applied, and factors such as gender, educational level, professional background, and previous experience were examined to determine their impact on qualification outcomes. RESULTS: The study included participants primarily between the ages of 20-40 years, with a higher proportion of women holding university degrees. Nurses and physicians were more likely to qualify, indicating the significance of professional backgrounds. Women showed a higher likelihood of qualifying than men and higher educational attainment correlated with better qualification rates. Prior experience with protective clothing in isolation wards was a significant determinant of successful qualification. Multivariate analysis underscored the influence of sex, education, and previous experience on training effectiveness. CONCLUSION: Scenario simulation is an effective strategy for training clinical skills in treating infectious diseases. This study highlights the importance of considering sex, education, professional background, and prior experience when designing training programs to enhance the efficacy and relevance of infectious disease training.

[Analysis of risk factors for long-term overactive bladder after radical prostatectomy].

OBJECTIVE: To analyze the incidence and progression of overactive bladder (OAB) symptoms following radical prostatectomy for prostate cancer patients and to identify related risk factors. METHODS: A retrospective study was conducted on 263 local stage prostate cancer patients who underwent radical prostatectomy at Peking University Third Hospital from January 2013 to May 2017. Clinical baseline information, comprehensive imaging features, perioperative parameters, preoperative urinary control status, pathological diagnosis, and the incidence of OAB within one year postoperatively were collected and analyzed. In the imaging features, two parameters were defined: Bladder wall thickness (BWT) and bladder mucosal smoothness (BMS), which were used to predict the occurrence of OAB. Patients were evaluated based on their clinical baseline characteristics, including age, body mass index (BMI), comorbidities, and prostate-specific antigen (PSA) levels. The imaging characteristics were assessed using preoperative MRI, focusing on BWT and BMS. Perioperative parameters included operative time, blood loss, and length of hospital stay. The OAB symptoms were assessed using the overactive bladder symptom score (OABSS) and the international prostate symptom score (IPSS). These scores were correlated with the postoperative incidence of OAB. RESULTS: Among the 263 patients who underwent radical prostatectomy, 52 (19.8%) exhibited OAB within one year postoperatively. Of the 40 patients with preoperative OAB symptoms, 17 (42.5%) showed remission postoperatively, while 23 (57.5%) had persistent symptoms. Additionally, 29 patients developed new-onset OAB, accounting for 55.77% of all postoperative OAB cases. Univariate analysis indicated that BWT, BMS, OABSS, and IPSS score were all associated with the occurrence of postoperative OAB. Further multivariate analysis identified BMS as an independent risk factor for long-term OAB (P < 0.001). CONCLUSION: Long-term postoperative overactive bladder is a common complication following radical prostatectomy. The findings suggest that preoperative MRI measurements of bladder wall thickness and bladder mucosal smoothness during bladder filling phase can predict the risk of OAB occurrence postoperatively. Identifying these risk factors preoperatively can help in counseling patients about potential complications and in developing strategies to mitigate the risk of developing OAB after surgery. Early detection and management of these parameters might improve the quality of life for patients undergoing radical prostatectomy.

Unified Solid Solution Product of [Nb][C] in Nb-Microalloyed Steels with Various Carbon Contents.

In this work, the solid solution product of [Nb][C] in the Nb-microalloyed steels with various carbon contents in the range of 0.20~1.80 wt.% was investigated by means of the extraction phase analysis method. The results showed that the Nb content in austenite tended to first decrease and then increase with the increase of carbon content in the steels. A unified solid solution product of [Nb][C] in austenite at different temperatures was obtained according to the results of the experimental steels. The Nb content in austenite of the experimental steels with high carbon contents was lower than that calculated by Ohtani's equation. The existence of NbC precipitates in the case and the core of the specimens carburized at 930 °C and 980 °C were verified by transmission electron microscopy (TEM) observations. The pinning effect of NbC precipitates on austenite grain growth was calculated according to the size and amount of NbC precipitates in the carburized case and the core of the carburized specimens. The calculated results of prior austenite grain sizes were in good agreement with the experimental results, which indicated that the unified solid solution product of [Nb][C] in Nb-microalloyed steels with various carbon contents was applicable for the low-pressure carburizing process.

Regulating the Distribution and Accumulation of Charged Molecules by Progressive Electroporation for Improved Intracellular Delivery.

The cell membrane separates the intracellular compartment from the extracellular environment, constraining exogenous molecules to enter the cell. Conventional electroporation typically employs high-voltage and short-duration pulses to facilitate the transmembrane transport of molecules impermeable to the membrane under natural conditions by creating temporary hydrophilic pores on the membrane. Electroporation not only enables the entry of exogenous molecules but also directs the intracellular distribution of the electric field. Recent advancements have markedly enhanced the efficiency of intracellular molecule delivery, achieved through the utilization of microstructures, microelectrodes, and surface modifications. However, little attention is paid to regulating the motion of molecules during and after passing through the membrane to improve delivery efficiency, resulting in an unsatisfactory delivery efficiency and high dose demand. Here, we proposed the strategy of regulating the motion of charged molecules during the delivery process by progressive electroporation (PEP), utilizing modulated electric fields. Efficient delivery of charged molecules with an expanded distribution and increased accumulation by PEP was demonstrated through numerical simulations and experimental results. The dose demand can be reduced by 10-40% depending on the size and charge of the molecules. We confirmed the safety of PEP for intracellular delivery in both short and long terms through cytotoxicity assays and transcriptome analysis. Overall, this work not only reveals the mechanism and effectiveness of PEP-enhanced intracellular delivery of charged molecules but also suggests the potential integration of field manipulation of molecular motion with surface modification techniques for biomedical applications such as cell engineering and sensitive cellular monitoring.

Impact of non-alcoholic fatty liver disease and fibrosis on mortality and kidney outcomes in patients with type 2 diabetes and chronic kidney disease: A multi-cohort longitudinal study.

AIM: To evaluate the impact of non-alcoholic fatty liver disease (NAFLD) presence and fibrosis risk on adverse outcomes in patients with type 2 diabetes and chronic kidney disease. METHODS: Data were sourced from two longitudinal cohorts: 1172 patients from the National Health and Nutrition Examination Survey (NHANES) and 326 patients from the kidney biopsy cohort at the West China Hospital of Sichuan University. Cox regression estimated hazard ratios (HRs) for NAFLD and liver fibrosis concerning adverse clinical outcomes. Subsequently, a two-sample Mendelian randomization study using genome-wide association study statistics explored NAFLD's potential causal link to cardio-cerebrovascular events. RESULTS: In the NHANES cohort, NAFLD stood as an independent risk factor for various outcomes: overall mortality [HR 1.53 (95% confidence interval, CI 1.21-1.95)], mortality because of cardio-cerebrovascular diseases [HR 1.63 (95% CI 1.12-2.37)], heart disease [HR 1.58 (95% CI 1.00-2.49)], and cerebrovascular disease [HR 3.95 (95% CI 1.48-10.55)]. Notably, advanced liver fibrosis, identified by a fibrosis-4 (FIB-4) score >2.67, exhibited associations with overall mortality, cardio-cerebrovascular disease mortality and heart disease mortality. Within the kidney biopsy cohort, NAFLD correlated with future end-stage kidney disease [ESKD; HR 2.17 (95% CI 1.41-3.34)], while elevated FIB-4 or NAFLD Fibrosis Scores predicted future ESKD, following full adjustment. Liver fibrosis was positively correlated with renal interstitial fibrosis and tubular atrophy in biopsies. Further Mendelian randomization analysis supported a causal relationship between NAFLD and cardio-cerebrovascular events. CONCLUSIONS: In patients with type 2 diabetes and chronic kidney disease, the NAFLD presence and elevated FIB-4 scores link to heightened mortality risk and ESKD susceptibility. Moreover, NAFLD shows a causal relationship with cardio-cerebrovascular events.

A phosphatase-like nanomaterial promotes autophagy and reprograms macrophages for cancer immunotherapy.

Macrophages are plastic and play a key role in the maintenance of tissue homeostasis. In cancer progression, macrophages also take part in all processes, from initiation to progression, to final tumor metastasis. Although energy deprivation and autophagy are widely used for cancer therapy, most of these strategies do not target macrophages, resulting in undesired effects and unsatisfactory outcomes for cancer immunotherapy. Herein, we developed a lanthanum nickel oxide (LNO) nanozyme with phosphatase-like activity for ATP hydrolysis. Meanwhile, the autophagy of macrophages induced by LNO promotes the polarization of macrophages from M2-like macrophages (M2) to M1-like macrophages (M1) and reduces tumor-associated macrophages in tumor-bearing mice, exhibiting the capability of killing tumor-associated macrophages and antitumor effects in vivo. Furthermore, pre-coating the surface of LNO with a myeloid cell membrane significantly enhanced antitumor immunity. Our findings demonstrate that phosphatase-like nanozyme LNO can specifically induce macrophage autophagy, which improves therapeutic efficacy and offers valuable strategies for cancer immunotherapy.

Identification and experimental validation of m7G-related molecular subtypes, immune signature, and feature genes in Alzheimer's disease.

Background: Studies has shown that N7-methylguanosine (m7G) modification plays a critical role in neurological diseases. However, the exact role and association of m7G with the immune microenvironment in Alzheimer's disease (AD) remain largely unknown and unexplored. Methods: The study datasets comprised 667 AD samples and 503 control samples selected from eight datasets in the Gene Expression Omnibus database; m7G regulator genes were obtained from previous literature. The AD subtypes were identified by consensus clustering analysis according to m7G regulator genes. The clinical characteristics, immune infiltration, and biological functions of the AD subgroups were evaluated. A combination of different types of machine-learning algorithms were used for the identification of AD genes. We also assessed and validated the diagnostic performance of the identified genes via qRT-PCR, immunofluorescence, and immunohistochemical analyses. Results: Two AD distinct subgroups, namely cluster A and cluster B, were identified. Cluster A had poor pathological progression and immune infiltration, representing a high-risk subgroup for AD. The differentially expressed genes of cluster A were enriched in immune and synapse-related pathways, suggesting that these genes probably contribute to AD progression by regulating immune-related pathways. Additionally, five feature genes (AEBP1, CARTPT, AK5, NPTX2, and COPG2IT1) were identified, which were used to construct a nomogram model with good ability to predict AD. The animal experiment analyses further confirmed that these feature genes were associated with AD development. Conclusion: To the best of our knowledge, this is the first study to reveal close correlations among m7G RNA modification, the immune microenvironment, and the pathogenesis of AD. We also identified five feature genes associated with AD, further contributing to our understanding of the underlying mechanisms and potential therapeutic targets for AD.

Numerical study on the stimulation effect of boundary sealing and hot water injection in marine challenging gas hydrate extraction.

This study proposed a novel development mode combining boundary sealing and hot water injection to address the challenges of gas leakage, limited reservoir sensible heat, boundary water intrusion, and low productivity faced by challenging hydrate extraction, and the stimulation effect was numerically investigated with Shenhu hydrates as the geological background. The results showed that lower boundary permeability facilitated pressure propagation and achieved volumetric dissociation of hydrates, whereas insufficient formation energy resulted in substantial gas retention. Hot water injection was effective for stimulation, but open boundaries could not maintain the high injection pressure, leading to massive hot water losses and gas escapes. However, their combination achieved a synergistic stimulation like "1 + 1 > 2" because a piston water drive similar to secondary recovery in oil and gas development was formed. Relative to three-spot well patterns, the five-spot shortened the extraction cycle by 680 days and enhanced the gas-to-water ratio by 17%. Increasing injection pressure enhanced water yield more significantly while the improvement of gas yield was more significant by increasing hot water temperature. Overall, high-pressure and high-temperature injection was suggested for gas enhancement and water control. These findings provide important guidance for advancing the commercial development of challenging hydrates.

Associations of modifiable factors with risk of irritable bowel syndrome.

Background: Modifiable factors were found to be associated with the risk of irritable bowel syndrome (IBS) in observational studies, but whether these associations are causal is uncertain. We conducted a Mendelian randomization (MR) study to systematically explore the causal associations of modifiable factors with IBS. Methods: Summary-level statistical data for IBS was obtained from a genome-wide association study (GWAS) meta-analysis of UK Biobank (40,548 cases and 293,220 controls) and the international collaborative Bellygenes initiative (12,852 cases and 139,981 controls). Genetic instruments associated with the exposures at the genome-wide significance (p < 5 × 10-8) level were selected from previous GWASs. Mendelian randomization was performed using inverse-variance weighted (IVW) method, supplemented with several sensitivity analyses to evaluate potentially causal relationships between identified contributing factors and IBS. Furthermore, we applied another database from FinnGen (8,116 IBS cases and 276,683 controls) to testify the reliability of the significant associations. Results: Seven convincing modifiable factors were significantly associated with IBS after correction for multiple testing. Genetically predicted smoking initiation (OR = 1.12, 95% CI = 1.06-1.18, p = 1.03 × 10-4), alcohol consumption (OR = 0.47, 95% CI = 0.34-0.64, p = 3.49 × 10-6), sedentary behavior (OR = 1.17, 95% CI = 1.07-1.28, p = 4.02 × 10-4), chronotype (OR = 0.92, 95% CI = 0.88-0.96, p = 4.42 × 10-4), insomnia (OR = 1.19, 95% CI = 1.15-1.24, p = 7.59 × 10-19), education (OR = 0.80, 95% CI = 0.74-0.88, p = 5.34 × 10-7), and visceral adiposity (OR = 1.15, 95% CI = 1.06-1.24, p = 7.96 × 10-4). We additionally identified several suggestive factors, including serum magnesium, serum phosphorus, physical activity, lifetime smoking, intelligence, lean body mass, and body mass index (BMI). After pooling the effect estimates from FinnGen, the associations remained significant except for chronotype. Conclusion: This MR analysis verified several modifiable risk factors for IBS, thus prevention strategies for IBS should be considered from multiple perspectives on these risk factors.