Renal function as an effect modifier of intensive glucose control in delaying cognitive function decline among individuals with type 2 diabetes: A revisit to the ACCORD MIND trial.

AIM: Dysglycaemia accelerates cognitive decline. Intensive glucose control may help delay or prevent cognitive function decline (CFD). We aimed to determine how patient characteristics influence the effect of intensive glucose control [glycated haemoglobin (HbA1c) <6.0%] on delaying CFD in people with type 2 diabetes. RESEARCH DESIGN AND METHODS: In this post-hoc analysis of 2977 type 2 diabetes participants from the ACCORD MIND trial, we applied the causal forest and causal tree algorithms to identify the effect modifier of intensive glucose control in delaying CFD from 68 variables (demographics, disease history, medications, vitals and baseline biomarkers). The exposure was intensive versus standard glucose control (HbA1c <6.0% vs. 7.0%-7.9%). The main outcome was cognitive function changes from baseline to the 40th month follow-up, which were evaluated using the digit symbol substitution test, Rey auditory verbal learning test, mini-mental state examination and Stroop test. We used Cohen's d, a measure of standardized difference, to quantify the effect size of intensive glucose control on delaying CFD. RESULTS: Among all the baseline characteristics, renal function was the most significant effect modifier. Participants with urinary albumin levels <0.4 mg/dl [absolute function change (AFC): 0.51 in mini-mental state examination, 95% confidence interval (CI): 0.04, 0.98, Cohen's d: 0.25] had slower CFD with intensive glucose control. Patients with preserved renal function (estimated glomerular filtration rate between 60 and 90 ml/min/1.73 m2) were associated with small benefits (AFC: 1.28 in Stroop, 95% CI: 0.28, 2.27, Cohen's d: 0.12) when undergoing intensive glucose control. Conversely, participants with an estimated glomerular filtration rate <60 ml/min/1.73 m2 (AFC: -0.57 in the Rey auditory verbal learning test, 95% CI: -1.09, -0.05, Cohen's d: -0.30) exhibited faster CFD when undergoing intensive glucose control. Participants who were <60 years old showed a significant benefit from intensive glucose control in delaying CFD (AFC: 1.08 in the digit symbol substitution test, 95% CI: 0.06, 2.10, Cohen's d: 0.13). All p < .05. CONCLUSIONS: Our findings linked renal function with the benefits of intensive glucose control in delaying CFD, informing personalized HbA1c goals for those with diabetes and at risk of CFD.

Association between low cognitive performance and diabetes-related health indicators across racial and ethnic groups in adults with diabetes.

AIM: To examine the associations between low cognitive performance (LCP) and diabetes-related health indicators (including body mass index [BMI], HbA1c, systolic blood pressure [SBP], low-density lipoprotein [LDL] and self-reported poor physical health) and whether these associations vary across racial/ethnic subgroups. METHODS: We identified adults aged 60 years or older with self-reported diabetes from the 2011-2014 National Health and Nutrition Examination Survey. Individuals with cognitive test scores in the lowest quartile were defined as having LCP. We used regression models to measure the associations of LCP with diabetes-related biometrics (BMI, HbA1c, SBP and LDL); and self-reported poor physical health. Moreover, we explored potential variations in these associations across racial/ethnic subgroups. RESULTS: Of 873 (261 with LCP) adults with diabetes, LCP was associated with higher HbA1c, SBP and LDL (adjusted difference: 0.41%, 5.01 mmHg and 5.08 mg/dL, respectively; P < .05), and greater odds of reporting poor physical health (adjusted odds ratio: 1.59, P < .05). The association between LCP and HbA1c was consistent across racial/ethnic groups, and notably pronounced in Hispanic and Other. BMI worsened with LCP, except for non-Hispanic Black. Excluding the Other group, elevated SBP was observed in people with LCP, with Hispanic showing the most significant association. LDL levels were elevated with LCP for Hispanic and Other. Physical health worsened with LCP for both non-Hispanic Black and Hispanic. CONCLUSIONS: We quantified the association between LCP and diabetes-related health indicators. These associations were more pronounced in Hispanic and Other racial/ethnic groups.

Some patients with type 2 diabetes may benefit from intensive glycaemic and blood pressure control: A post-hoc machine learning analysis of ACCORD trial data.

AIM: The action to control cardiovascular risk in diabetes (ACCORD) trial showed a neutral average treatment effect of intensive blood glucose and blood pressure (BP) controls in preventing major adverse cardiovascular events (MACE) in individuals with type 2 diabetes. Yet, treatment effects across patient subgroups have not been well understood. We aimed to identify patient subgroups that might benefit from intensive glucose or BP controls for preventing MACE. MATERIALS AND METHODS: As a post-hoc analysis of the ACCORD trial, we included 10 251 individuals with type 2 diabetes. We applied causal forest and causal tree models to identify participant characteristics that modify the efficacy of intensive glucose or BP controls from 68 candidate variables (demographics, comorbidities, medications and biomarkers) at the baseline. The exposure was (a) intensive versus standard glucose control [glycated haemoglobin (HbA1c) <6.0% vs. 7.0%-7.9%], and (b) intensive versus standard BP control (systolic BP <120 vs. <140 mmHg). The primary outcome was MACE. RESULTS: Compared with standard glucose control, intensive one reduced MACE in those with baseline HbA1c <8.5% [relative risk (RR): 0.79, 95% confidence interval (CI): 0.67-0.93] and those with estimated glomerular filtration rate ≥106 ml/min/1.73 m2 (RR: 0.74, 95% CI: 0.55-0.99). Intensive BP control reduced MACE in those with normal high-density lipoprotein levels (women >55 mg/dl, men >45 mg/dl; RR: 0.51, 95% CI: 0.34-0.74). Risk reductions were not significant in other patient subgroups. CONCLUSIONS: Our findings suggest heterogeneous treatment effects of intensive glucose and BP control and could provide biomarkers for future clinical trials to identify more precise HbA1c and BP treatment goals for individualized medicine.

Incremental burden on health-related quality of life, health service utilization and direct medical expenditures associated with cognitive impairment among non-institutionalized people with diabetes aged 65 years and older.

AIMS: To quantify the incremental health and economic burden associated with cognitive impairment (CI) among non-institutionalized people with diabetes ≥65 years in the United States. MATERIALS AND METHODS: Using 2016-2019 Medical Expenditure Panel Surveys data, we identified participants ≥65 years with diabetes. We used propensity score weighting to quantify the CI-associated incremental burden on health-related quality of life measured by the 12-item Short Form Survey (SF-12), including the mental component summary score, physical component summary score and health utility. We also compared the annual health service utilization and expenditures on ambulatory visits, prescriptions, home care, emergency room (ER), hospitalizations and total annual direct medical expenditures. RESULTS: We included 5094 adults aged ≥65 with diabetes, of whom 804 had CI. After propensity score weighting, CI was associated with a lower mental component summary score (-8.4, p < .001), physical component summary score (-5.2, p < .001) and health utility (-0.12, p < .001). The CI group had more ambulatory visits (+4.4, p = .004) and prescriptions (+9.9, p < .001), with higher probabilities of having home care (+11.3%, p < .001) and ER visits (+8.2%, p = .001). People with CI spent $5441 (p < .001) more annually, $2039 (p = .002) more on prescriptions, $2695 (p < .001) more on home care and $118 (p < .001) more on ER visits. There is no statistically significant difference in the utilization and expenditure of hospitalizations. CONCLUSION: CI was associated with worse health-related quality of life, higher health service utilization and expenditures. Our findings can be used to monitor the health and economic burden of CI in non-institutionalized older persons with diabetes.

The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records.

OBJECTIVE: Having sufficient population coverage from the electronic health records (EHRs)-connected health system is essential for building a comprehensive EHR-based diabetes surveillance system. This study aimed to establish an EHR-based type 1 diabetes (T1D) surveillance system for children and adolescents across racial and ethnic groups by identifying the minimum population coverage from EHR-connected health systems to accurately estimate T1D prevalence. MATERIALS AND METHODS: We conducted a retrospective, cross-sectional analysis involving children and adolescents <20 years old identified from the OneFlorida+ Clinical Research Network (2018-2020). T1D cases were identified using a previously validated computable phenotyping algorithm. The T1D prevalence for each ZIP Code Tabulation Area (ZCTA, 5 digits), defined as the number of T1D cases divided by the total number of residents in the corresponding ZCTA, was calculated. Population coverage for each ZCTA was measured using observed health system penetration rates (HSPR), which was calculated as the ratio of residents in the corresponding ZTCA and captured by OneFlorida+ to the overall population in the same ZCTA reported by the Census. We used a recursive partitioning algorithm to identify the minimum required observed HSPR to estimate T1D prevalence and compare our estimate with the reported T1D prevalence from the SEARCH study. RESULTS: Observed HSPRs of 55%, 55%, and 60% were identified as the minimum thresholds for the non-Hispanic White, non-Hispanic Black, and Hispanic populations. The estimated T1D prevalence for non-Hispanic White and non-Hispanic Black were 2.87 and 2.29 per 1000 youth, which are comparable to the reference study's estimation. The estimated prevalence of T1D for Hispanics (2.76 per 1000 youth) was higher than the reference study's estimation (1.48-1.64 per 1000 youth). The standardized T1D prevalence in the overall Florida population was 2.81 per 1000 youth in 2019. CONCLUSION: Our study provides a method to estimate T1D prevalence in children and adolescents using EHRs and reports the estimated HSPRs and prevalence of T1D for different race and ethnicity groups to facilitate EHR-based diabetes surveillance.

Association between Antidepressants and Dementia Risk in Older Adults with Depression: A Systematic Review and Meta-Analysis.

Depression, commonly treated with antidepressants, is associated with an increased risk of dementia, especially in older adults. However, the association between antidepressant use and dementia risk is unclear. We searched for randomized controlled trials and observational studies from PubMed, Embase, and Cochrane on 1 February 2022, restricting to full texts in English. Since dementia is a chronic disease requiring a long induction time, we restricted studies with ≥1 year follow-up. We extracted the relative risk (RR) adjusted for the most variables from each study and evaluated the heterogeneity using I square (I2). The protocol was registered in the PROSPERO International Register of Systematic Reviews (CRD42022338038). We included six articles in the systematic review, of which the sample size ranged from 716 to 141,740, and the median length of follow-up was 5 years. The pooled RR was 1.21 (95% CI = 1.12-1.29) with an I2 of 71%. Our findings suggest that antidepressant use was associated with an increased risk of dementia in older adults with depression, yet moderate to high heterogeneity existed across studies. Future work accounting for the depression progression is needed to differentiate the effect of depression and antidepressants on dementia risk.

Epidemiology, molecular characterization, and drug resistance of IncHI5 plasmids from Enterobacteriaceae / Epidemiología, caracterización molecular y farmacorresistencia de plásmidos IncHI5 de Enterobacteriaceae

The increasingly frequent occurence of IncHI5 plasmids has attracted worldwide attention. The aim of this study was to perform an in-depth bioinformatics analysis to determine the genetic characteristics and global distribution of all IncHI5 plasmids. The geographic distribution and epidemiology of all IncHI5 plasmids from GenBank were analyzed based on relevant literature reports and background information from the National Center for Biotechnology Information (NCBI). Detailed annotation of antibiotic resistance genes was performed. A total of 65 IncHI5 plasmid genomes were collected in GenBank. All IncHI5 plasmids were carried by Enterobacteriaceae, of which Klebsiella pneumoniae accounted for the largest proportion (50%, 33/65). The host bacterium of IncHI5 plasmids was mainly isolated from Homo Sapiens (81%, 53/65). All strains carrying IncHI5 plasmids were mainly distributed in China (83%, 54/65). Evolutionary analysis can divide IncHI5 plasmids into two groups, namely Groups I/II, of which Group II was more widely distributed worldwide. This study showed that Enterobacteriaceae, especially Klebsiella, was the main host for IncHI5 plasmid. Almost all IncHI5 plasmids carried multiple types of antibiotic resistance genes, related to Tn1696 or Tn6535. The IncHI5 plasmids should be of continuing interest as good repositories for antibiotic resistance genes.(AU)

Epidemiology, molecular characterization, and drug resistance of IncHI5 plasmids from Enterobacteriaceae.

The increasingly frequent occurence of IncHI5 plasmids has attracted worldwide attention. The aim of this study was to perform an in-depth bioinformatics analysis to determine the genetic characteristics and global distribution of all IncHI5 plasmids. The geographic distribution and epidemiology of all IncHI5 plasmids from GenBank were analyzed based on relevant literature reports and background information from the National Center for Biotechnology Information (NCBI). Detailed annotation of antibiotic resistance genes was performed. A total of 65 IncHI5 plasmid genomes were collected in GenBank. All IncHI5 plasmids were carried by Enterobacteriaceae, of which Klebsiella pneumoniae accounted for the largest proportion (50%, 33/65). The host bacterium of IncHI5 plasmids was mainly isolated from Homo Sapiens (81%, 53/65). All strains carrying IncHI5 plasmids were mainly distributed in China (83%, 54/65). Evolutionary analysis can divide IncHI5 plasmids into two groups, namely Groups I/II, of which Group II was more widely distributed worldwide. This study showed that Enterobacteriaceae, especially Klebsiella, was the main host for IncHI5 plasmid. Almost all IncHI5 plasmids carried multiple types of antibiotic resistance genes, related to Tn1696 or Tn6535. The IncHI5 plasmids should be of continuing interest as good repositories for antibiotic resistance genes.

Changes in racial and ethnic disparities in glucose-lowering drug utilization and glycated haemoglobin A1c in US adults with diabetes: 2005-2018.

AIM: To examine changes in racial and ethnic disparities in glucose-lowering drugs (GLD) use and glycated haemoglobin A1c in US adults with diabetes from 2005 to 2018. METHODS: We conducted pooled cross-sectional analysis using data from the 2005-2018 Medical Expenditure Panel Surveys, and the 2005-2018 National Health and Nutrition Examination Survey. Individuals ≥18 years with diabetes were included. Racial and ethnic disparities were measured in (a) newer non-insulin GLD use; (b) insulin analogue use; (c) non-insulin GLDs adherence; (d) insulin adherence; and (e) glucose management, along with (f) the proportion of the disparities explained by potential contributing factors. RESULTS: From 2005 to 2018, racial and ethnic disparities persisted in newer GLD use, non-insulin GLDs adherence, insulin analogue use and glucose management. In 2018, compared with non-Hispanic white adults, non-Hispanic black, Hispanic and other race/ethnicity groups had lower rates of using newer GLDs (adjusted risk ratio: 0.44, 0.52, 0.64, respectively; p < .05 for all) and insulin analogues (adjusted risk ratio: 0.93, 0.89, 0.95, respectively; p < .05 for all except other groups), lower non-insulin GLD adherence (proportion of days covered: -4.5%, -5.6%, -4.3%, respectively; p < .05 for all), higher glycated haemoglobin A1c (0.29%, 0.32%, 0.02%, respectively; p < .05 for all except other group), and similar insulin adherences. Socioeconomic and health status were the main contributors to these disparities. CONCLUSIONS: Our findings provide evidence of racial and ethnic disparities in newer GLD use and quality of care in glucose management. Our study results can inform decision-makers of the status of racial and ethnic disparities and identify ways to reduce these disparities.

Network module function enrichment analysis of lung squamous cell carcinoma and lung adenocarcinoma.

BACKGROUND: Lung squamous cell carcinoma (LUSC) and lung adenocarcinoma (LUAD) are the two major subtypes of non-small cell lung cancer that pose a serious threat to human health. However, both subtypes currently lack effective indicators for early diagnosis. METHODS: To identify tumor-specific indicators and predict cancer-related signaling pathways, LUSC and LUAD gene weighted co-expression networks were constructed. Combined with clinical data, core genes in LUSC and LUAD modules were then screened using protein-protein interaction networks and their functions and pathways were analyzed. Finally, the effect of core genes on survival of LUSC and LUAD patients was evaluated. RESULTS: We identified 12 network modules in LUSC and LUAD, respectively. LUSC modules "purple" and "green" and LUAD modules "brown" and "pink" are significantly associated with overall survival and clinical traits of tumor node metastasis, respectively. Eleven genes from LUSC and eight genes from LUAD were identified as candidate core genes, respectively. Survival analysis showed that high expression of SLIT3, ABI3BP, MYOCD, PGM5, TNXB, and DNAH9 are associated with decreased survival in LUSC patients. Furthermore, high expression of BUB1, BUB1B, TTK, and UBE2C are associated with lower patient survival. CONCLUSIONS: We found biomarker genes and biological pathways for LUSC and LUAD. These network hub genes are associated with clinical characteristics and patient outcomes and they may play important roles in LUSC and LUAD.

Shared network pattern of lung squamous carcinoma and adenocarcinoma illuminates therapeutic targets for non-small cell lung cancer.

Background: Non-small cell lung cancer (NSCLC) is a malignant tumor with high mortality. Lung squamous carcinoma (LUSC) and lung adenocarcinoma (LUAD) are the common subtypes of NSCLC. However, how LUSC and LUAD are compatible remains to be elucidated. Methods: We used a network approach to find highly interconnected genes shared with LUSC and LUAD, and we then built modules to assess the degree of preservation between them. To quantify this result, Z-scores were used to summarize the interrelationships between LUSC and LUAD. Furthermore, we correlated network hub genes with patient survival time to identify risk factors. Results: Our findings provided a look at the regulatory pattern for LUSC and LUAD. For LUSC, several genes, such as AKR1C1, AKR1C2, and AKR1C3, play key roles in regulating network modules of cell growth pathways. In addition, CCL19, CCR7, CCL21, and LY9 are enriched in LUAD network modules of T lymphocyte-related pathways. LUSC and LUAD have similar expressed gene expression patterns. Their networks share 46 hub genes with connectivity greater than 0.9. These genes are correlated with patient survival time. Among them, the expression level of COL5A2 in LUSC and LUAD is higher than that in normal tissues, which is closely related to the poor prognosis of LUSC and LUAD patients. Conclusion: LUSC and LUAD share a network pattern. COL5A2 may be a risk factor in poor prognosis in LUSC and LUAD. The common landscape of LUSC and LUAD will help better define the regulation of NSCLC candidate genes and achieve the goals of precision medicine.

Emergence of Extensively Drug-Resistant ST170 Citrobacter portucalensis with Plasmids pK218-KPC, pK218-NDM, and pK218-SHV from a Tertiary Hospital, China.

The objective of this study is to characterize the molecular mechanism of a clinical carbapenem-resistant Citrobacter portucalensis strain K218, which coproduces KPC and NDM carbapenemases. K218 was isolated from a patient's blood sample in a Chinese tertiary hospital. Carbapenemases were detected by the immunocolloidal gold technique. The MIC values were determined by VITEK2. Whole-genome sequencing was performed on K218 and sequence data were analyzed using phylogenetics and extensive genomic comparison. This study reveals that K218 contains a single 5.08 Mb chromosome (51.8% GC content) and four plasmids, pK218-KPC (106 Kb), pK218-NDM (111 Kb), pK218-SHV (191 Kb), and pK218-NR (5 Kb). Twenty-nine types of antibiotic resistance genes were carried on K218, including blaKPC-2 harbored on pK218-KPC and blaNDM-1 harbored on pK218-NDM. Detailed comparison of related plasmids of pK218-KPC, pK218-NDM, and pK218-SHV showed that they shared similar conserved backbone regions, respectively. Comprehensive annotation revealed large accessory modules were recombined on the genome of K218. Further analysis speculated that mobile genetic elements bearing abundant resistance genes facilitated the formation of these accessory modules. In conclusion, this study provides an in-depth understanding of the genomic characterization of K218, an extensively drug-resistant C. portucalensis strain coproducing NDM and KPC carbapenemase. To the best of our knowledge, this is the first report of C. portucalensis strain coharboring blaKPC-2 and blaNDM-1 from the clinical setting. IMPORTANCE This is the first report of extensively drug-resistant C. portucalensis harboring both blaKPC-2 and blaNDM-1. This study will not only extend the understanding of the structural dissection of plasmids and chromosomes carried in C. portucalensis, but also expand knowledge of the genetic environment of the blaKPC-2 and blaNDM-1 genes. blaKPC-2 and blaNDM-1 genes have been suggested to facilitate the propagation and persistence of their host bacteria under different antimicrobial selection pressures. Large accessory regions carrying blaKPC-2 and blaNDM-1 genes have become hot spots for transposition and integration, and their structural variation and evolution should receive attention. The multidrug-resistant plasmids pK218-KPC, pK218-NDM, and pK218-SHV with several multidrug resistance regions and the chromosome cK218 with two novel transposons Tn7410 and Tn7411 contribute to the formation of extensively drug-resistant C. portucalensis.

Warfarin Adherence Among Patients with Atrial Fibrillation in Rural Area of Dongyang, China: A Questionnaire-Based Study.

Introduction: Adherence to warfarin is associated with improved outcome in patients with atrial fibrillation (AF), but the adherence status of patients in rural areas of China is not known. Methods: A questionnaire-based study evaluating warfarin adherence of rural residents with AF was carried out in Dongyang, China. Potentially eligible patients were screened and contacted by telephone, and their demographic characteristics were collected. Illness perception was assessed using the Brief Illness Perception Questionnaire (BIPQ), and warfarin adherence was assessed using a Chinese-version adherence scale. Univariate and multivariate analyses were conducted to identify factors associated with unsatisfactory adherence. Results: A total of 201 patients (male, n=99; mean age, 70.3±8.12 years) were included, among whom 95 (47.3%) patients showed good adherence and 63 (31.3%) poor adherence. Number of co-dispensed drugs (multivariate analysis: odds ratio [OR]=3.64, 95% confidence interval [CI] 1.35-9.81, p=0.011) and BIPQ score (OR=1.25, 95% CI 1.17-1.33, p<0.001) were identified as factors associated with good adherence. Conclusion: Medical adherence to warfarin needs to improve in rural patients with AF. Efforts that can reduce the number of co-dispensed drugs and increase illness perception may improve warfarin adherence. This study may benefit future management of warfarin administration to rural patients with AF.

Epidemiology of Klebsiella michiganensis Carrying Multidrug-Resistant IncHI5 Plasmids in the Southeast Coastal Area of China.

Purpose: This study aimed to explore the genomic characterization of multidrug-resistant IncHI5-carrying Klebsiella michiganensis strains and detailed genomic dissection of the IncHI5 plasmids. Materials and Methods: Through whole-genome sequencing, the IncHI5 plasmid pK92-qnrS was obtained from a single clinical K. michiganensis isolate K92. All complete genomes of K. michiganensis strains from the Genome database of NCBI were collected and used to construct a maximum likelihood (ML) phylogenetic tree. The epidemiology and geographic distribution of all the K. michiganensis strains were conducted. An extensive comparison of the seven IncHI5 plasmids of K. michiganensis (one from this study, six from GenBank) was applied. Results: This study revealed that all K. michiganensis strains carrying IncHI5 plasmids from different clonal groups were located in the southeast coastal area of China. The backbone regions of IncHI5 plasmids were composed of replicon (repHI5B and repFIB), partition (parABC), and conjugal transfer (tra1/tra2). The main accessory resistant regions of IncHI5 could be divided into two categories, Tn1696-related region and Tn6535-related region. These seven IncHI5 plasmids carried multiple drug-resistance genes which were all mediated by the mobile genetic elements (MGEs). Conclusion: Data presented here help to provide an overall in-depth understanding of epidemiology and geographic distribution of IncHI5-carrying K. michiganensis and the structure and evolutionary history of IncHI5 plasmids.

Efficacy of iGlarLixi on 5-year risk of diabetes-related complications: A simulation study.

OBJECTIVE: This study simulated the 5-year risk of diabetes complications associated with the use of iGlarLixi, a fixed-ratio combination of insulin glargine 100 U/ml and lixisenatide, in type 2 diabetes (T2D) using the BRAVO diabetes model. METHODS: The six-month efficacy data of iGlarLixi and Standard of Care (SOC) were extracted from the LixiLan-O (NCT02058147) and ORIGIN (NCT00069784) trials, respectively. The trial participants' baseline characteristics were standardized to the ACCORD trial through a matching method. The BRAVO diabetes simulation model was used to project the 5-year complications based on T2D people baseline characteristics and treatment efficacy. An optimistic scenario where the six-month relative efficacy of iGlarLixi (i.e., iGlarlixi-SOC) lasted for 5 years, and a conservative scenario where the relative effect of iGlarLixi waned to none within 5 years were simulated. RESULTS: iGlarLixi compared with SOC was found to reduce HbA1c (-1.4%), SBP (-3.4 mm Hg), and BMI (-0.6 kg/m2) in six months. We simulated a 5-year risk reduction in major adverse cardiovascular events (MACE) (relative risk [RR] 0.77, 95% CI: 0.67-0.88), and all-cause mortality (RR 0.94, 95% CI: 0.92-0.96) under an optimistic scenario, and MACE (RR 0.86, 95% CI: 0.75-0.96), and all-cause mortality (RR 0.96, 95% CI: 0.92-0.98) under a conservative scenario. CONCLUSIONS: The long-term use of iGlarLixi may lead to a substantial reduction in diabetes-related complications among people with T2D at elevated risk for CVD. The use of a simulation model to evaluate outcomes of treatment in a well-characterized patient cohort is novel. Such an approach may serve as a template for future evaluation of medications and combinations when the effect of a treatment is known, but a long-term outcome trial is not feasible.

The diminishing cost-effectiveness of the newer glucose-lowering drug classes in the United States: 2010-2018.

BACKGROUND: The difference between the costs of the newer and older glucose-lowering drugs (GLMs) has been steadily increasing since 2010. In 2018, newer drugs cost 8-12 times more than older drugs (except for insulin). This study aimed to understand how the cost change influenced the cost-effectiveness of the newer GLMs. METHODS: Based on our previous literature review on US-based cost-effectiveness studies comparing newer (i.e. dipeptidyl peptidase-4 inhibitors (DPP4), glucagon-like peptide 1 receptor agonists (GLP1-RA), and sodium-glucose transport protein 2 inhibitors) with older GLMs, we identified 12 studies that reported the cost-effectiveness of newer drugs based on drug costs estimated before 2010. We updated the corresponding cost-effectiveness of each study by replacing the old cost estimates with 2018 estimates from the 2018 IBM MarketScan Commercial Claims Databases. The time window and willingness to pay threshold were consistent with the original studies. RESULTS: Only 8% of the original studies suggested that the older drugs were cost-effective. However, 58% of studies were in favor of the older drugs after the cost update. Among the four studies comparing newer drugs with thiazolidinediones, all the original results favored newer drugs. However, all studies suggested thiazolidinedione to be cost-effective in the updated analysis. For the four studies comparing newer drugs with sulfonylureas, two studies suggested the sulfonylureas to be cost-effective after the cost update. All four studies suggested newer drugs to be cost-effective when compared with insulin in the original study. Only 1 flipped its conclusion when 2018 costs were used. Our sensitivity analysis shows that our results are robust under a 30% rebate. CONCLUSION: Significant changes in the cost of GLMs have impacted the economic value of different GLM classes substantially. More cost-effectiveness analyses are warranted to support the drug choice in T2DM management.

A varied approach to left ventricular assist device follow-up improves cost-effectiveness.

BACKGROUND: Left ventricular assist device (LVAD) implantation improves outcomes in advanced heart failure, however, the optimal frequency of outpatient assessments to improve cost-effectiveness and potentially avert readmissions is unclear. METHODS: To test if varying the frequency of follow-up after LVAD implantation reduces readmissions and improves cost-effectiveness, a less intensive follow-up (LIFU) strategy with scheduled visits at 1 month and then every 6 months was compared to an intensive follow-up (IFU) group with scheduled visits at 1, 2, and 4 weeks, and then every 3 months post-implant. We developed a decision-tree model to evaluate the cost-effectiveness of different follow-up schedules at 3, 6, and 12-months. The readmission rates for LIFU and IFU, along with the associated costs, were estimated using data from the IBM MarketScan Commercial Claims Databases (2015-2018). A total of 349 patients were enrolled, with 193 and 156 in the IFU and LIFU groups. RESULTS: Patients with IFU were found to have a lower risk for readmission at 3 months (HR: 0.69, 95% confidence interval (CI): 0.60-0.79), but this difference diminished overtime at 6 months (HR: 0.84, 95% CI: 0.73-0.96) and 12 months (HR: 0.94, 95% CI: 0.83-1.06). The incremental net benefit of IFU, when compared with LIFU, is greatest in the first 3 months and also diminishes over time (3 months: $19616, 6 months $9257, 12 months $717). CONCLUSIONS: An initial IFU strategy, followed by a period of de-escalation at the 6-month post-implant mark in lower-risk patients, may be a more cost-effective strategy to provide follow-up care while not predisposing patients to a higher risk of readmission.

Potential role of chimeric genes in pathway-related gene co-expression modules.

BACKGROUND: Gene fusion has epigenetic modification functions. The novel proteins encoded by gene fusion products play a role in cancer development. Therefore, a better understanding of the novel protein products may provide insights into the pathogenesis of tumors. However, the characteristics of chimeric genes are rarely studied. Here, we used weighted co-expression network analysis to investigate the biological roles and underlying mechanisms of chimeric genes. METHODS: Download the pig transcriptome data, we screened chimeric genes and parental genes from 688 sequences and 153 samples, predict their domains, and analyze their associations. We constructed a co-expression network of chimeric genes in pigs and conducted Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway analysis on the generated modules using DAVID to identify key networks and modules related to chimeric genes. RESULTS: Our findings showed that most of the protein domains of chimeric genes were derived from fused pre-genes. Chimeric genes were enriched in modules involved in the negative regulation of cell proliferation and protein localization to centrosomes. In addition, the chimeric genes were related to the growth factor-ß superfamily, which regulates cell growth and differentiation. Furthermore, in helper T cells, chimeric genes regulate the specific recognition of T cell receptors, implying that chimeric genes play a key role in the regulation pathway of T cells. Chimeric genes can produce new domains, and some chimeric genes are a key role involved in pathway-related function. CONCLUSIONS: Most chimeric genes show binding activity. Domains of chimeric genes are derived from several combinations of parent genes. Chimeric genes play a key role in the regulation of several cellular pathways. Our findings may provide new directions to explore the roles of chimeric genes in tumors.