Hydra: Multi-head low-rank adaptation for parameter efficient fine-tuning.

The recent surge in large-scale foundation models has spurred the development of efficient methods for adapting these models to various downstream tasks. Low-rank adaptation methods, such as LoRA, have gained significant attention due to their outstanding parameter efficiency and no additional inference latency. This paper investigates a more general form of adapter module based on the analysis that parallel and sequential adaptation branches learn novel and general features during fine-tuning, respectively. The proposed method, named Hydra, combines parallel and sequential branch to integrate capabilities, which is more expressive than existing single branch methods and enables the exploration of a broader range of optimal points in the fine-tuning process. In addition, the proposed method explicitly leverages the pre-trained weights by performing a linear combination of the pre-trained features. It allows the learned features to have better generalization performance across diverse downstream tasks. Furthermore, we perform a comprehensive analysis of the characteristics of each adaptation branch with empirical evidence. Through an extensive range of experiments, we substantiate the efficiency and demonstrate the superior performance of Hydra. This comprehensive evaluation underscores the potential impact and effectiveness of Hydra in a variety of applications. The source code of this work is publicly opened on https://github.com/extremebird/Hydra.

Efficacy of Percutaneous Coronary Intervention With Synergy Stents in Patients Aged ≥75 Years: 1-Year Clinical Outcomes from the Synergy Elderly Registry.

Data regarding the clinical outcomes of older patients after Synergy everolimus-eluting stent (S-EES) implantation are limited. This study investigated the 12-month clinical outcomes of older patients who underwent percutaneous coronary intervention with new-generation drug-eluting stents according to ischemic risks. This prospective multicenter study targeted patients aged ≥75 years who underwent S-EES implantation. The primary and secondary end points included 12-month device-oriented composite end point (DOCE) (cardiovascular death, target vessel myocardial infarction, or target lesion revascularization) and major adverse cardiac and cerebrovascular events (MACCEs; all-cause death, myocardial infarction, target vessel revascularization, stent thrombosis, or stroke), respectively. A stratified analysis was conducted according to high-ischemic risk (HIR), defined as complex coronary intervention (number of stents implanted ≥3, total stented length >60 mm, chronic total occlusion, left main, or bifurcation), diabetes, or chronic kidney disease. In total, 650 enrolled patients aged ≥75 years were categorized into HIR (n = 425) and non-HIR groups (n = 225). In the total population, the 1-year incidence of DOCEs was 2.5%. The rates of DOCEs were not significantly different between the HIR and the non-HIR groups, whereas the MACCE rate was higher in the HIR (9.4%) than the non-HIR group (4.9%, p = 0.035), and the DOCE and MACCE components did not differ significantly in the occurrence between the groups. The independent predictors for the DOCEs or MACCEs included age, anemia, or left ventricular ejection fraction <40%. In conclusion, in older patients, S-EES implantation demonstrated favorable device-related outcomes, regardless of procedural complexity or co-morbidities. However, it requires careful attention because older patients with HIR are associated with worse clinical outcomes.

Efficacy and Safety of Coadministered Ezetimibe-Rosuvastatin plus Telmisartan in South Korean Patients with Dyslipidemia and Hypertension: A Multicenter, Randomized, Double-Blind, Active-Controlled, Phase III Trial.

BACKGROUND: The introduction of a fixed-dose combination (FDC) is expected to improve treatment compliance. METHODS: There were 181 subjects who were randomized to three groups: ezetimibe-rosuvastatin 10/20 mg + telmisartan 80 mg, ezetimibe-rosuvastatin 10/20 mg, and telmisartan 80 mg. The primary outcomes were change in mean sitting systolic blood pressure (MSSBP) and percentage change in low-density-lipoprotein cholesterol (LDL-C) compared to baseline at week 8. RESULTS: The least-square mean (SE) in MSSBP changes between the ezetimibe-rosuvastatin 10/20 mg + telmisartan 80 mg group and the ezetimibe-rosuvastatin 10/20 mg group were -25.81 (2.34) mmHg and -7.66 (2.45) mmHg. There was a significant difference between the two groups (-18.15 (2.83) mmHg, 95% CI -23.75 to -12.56, p < 0.0001). Changes in least-square mean (SE) in LDL-C between the ezetimibe-rosuvastatin 10/20 mg + telmisartan 80 mg group and the telmisartan 80 mg group were -63.82 (2.87)% and -2.48 (3.12)%. A significant difference was observed between the two groups (-61.34 (3.33)%, 95% CI -67.91 to -54.78, p < 0.0001). No serious adverse events were observed. CONCLUSIONS: Ezetimibe-rosuvastatin plus telmisartan treatment is effective and safe when compared to either ezetimibe-rosuvastatin or telmisartan.

Long-term use of clopidogrel versus ticagrelor or prasugrel in patients with acute myocardial infarction after percutaneous coronary intervention.

BACKGROUND AND OBJECTIVES: To compare the long-term clinical outcomes of dual antiplatelet therapy (DAPT) with clopidogrel and DAPT with ticagrelor or prasugrel in patients with acute myocardial infarction (AMI) who underwent coronary intervention. METHODS: Between November 2011 and December 2015, a total of 13,104 patients with AMI were enrolled in the Korea Acute Myocardial Infarction Registry-National Institutes of Health (KAMIR-NIH) registry. Among them, 4,696 patients who received DAPT for more than 24 months were categorized into two groups: the clopidogrel group (n = 4,053) and ticagrelor or prasugrel group (n = 643). Propensity score matching (PSM) was used to reduce the bias due to confounding variables. Following PSM, the impacts of P2Y12 inhibitors on the clinical outcomes in both groups were compared during a 36-month clinical follow-up period. RESULTS: There were no significant differences in clinical outcomes in terms of cardiac death (7.1% vs. 9.7%, p = 0.101), stroke (1.4% vs. 1.0%, p = 0.436), major bleeding (0.5% vs. 0.8%, p = 0.478), major adverse cardiac events (MACE) (21.6% vs. 20.5%, p = 0.626), and net adverse cardiac event (NACE) (22.1% vs. 21.3%, p = 0.731) between the groups. The ticagrelor or prasugrel group had a lower incidence of recurrent percutaneous coronary intervention (PCI) (12.2% vs. 7.6%, p = 0.006) than the clopidogrel group. However, no differences were observed in the cumulative incidences of 3-year NACE between the ticagrelor or prasugrel and clopidogrel groups. CONCLUSIONS: Cumulative incidences of long-term NACE did not differ between the two groups. Therefore, the type and duration of DAPT should be customized for each patient with AMI.

Data-driven design of thin-film optical systems using deep active learning.

A deep learning aided optimization algorithm for the design of flat thin-film multilayer optical systems is developed. The authors introduce a deep generative neural network, based on a variational autoencoder, to perform the optimization of photonic devices. This algorithm allows one to find a near-optimal solution to the inverse design problem of creating an anti-reflective grating, a fundamental problem in material science. As a proof of concept, the authors demonstrate the method's capabilities for designing an anti-reflective flat thin-film stack consisting of multiple material types. We designed and constructed a dielectric stack on silicon that exhibits an average reflection of 1.52 %, which is lower than other recently published experiments in the engineering and physics literature. In addition to its superior performance, the computational cost of our algorithm based on the deep generative model is much lower than traditional nonlinear optimization algorithms. These results demonstrate that advanced concepts in deep learning can drive the capabilities of inverse design algorithms for photonics. In addition, the authors develop an accurate regression model using deep active learning to predict the total reflectivity for a given optical system. The surrogate model of the governing partial differential equations can then be broadly used in the design of optical systems and to rapidly evaluate their behavior.

Clinical Results of Drug-Coated Balloon Treatment in a Large-Scale Multicenter Korean Registry Study.

BACKGROUND AND OBJECTIVES: The aim of this study was to demonstrate the efficacy and safety of treatment with drug-coated balloon (DCB) in a large real-world population. METHODS: Patients treated with DCBs were included in a multicenter observational registry that enrolled patients from 18 hospitals in Korea between January 2009 and December 2017. The primary outcome was target lesion failure (TLF) defined as a composite of cardiovascular death, target vessel myocardial infarction, and clinically indicated target lesion revascularization at 12 months. RESULTS: The study included 2,509 patients with 2,666 DCB-treated coronary artery lesions (1,688 [63.3%] with in-stent restenosis [ISR] lesions vs. 978 [36.7%] with de novo lesions). The mean age with standard deviation was 65.7±11.3 years; 65.7% of the patients were men. At 12 months, the primary outcome, TLF, occurred in 179 (6.7%), 151 (8.9%), 28 (2.9%) patients among the total, ISR, and de novo lesion populations, respectively. A history of hypertension, diabetes, acute coronary syndrome, previous coronary artery bypass graft, reduced left ventricular ejection fraction, B2C lesion and ISR lesion were independent predictors of 12 months TLF in the overall study population. CONCLUSIONS: This large multicenter DCB registry study revealed the favorable clinical outcome of DCB treatment in real-world practice in patient with ISR lesion as well as small de novo coronary lesion.

Deep learning forecasting using time-varying parameters of the SIRD model for Covid-19.

Accurate epidemiological models are necessary for governments, organizations, and individuals to respond appropriately to the ongoing novel coronavirus pandemic. One informative metric epidemiological models provide is the basic reproduction number ([Formula: see text]), which can describe if the infected population is growing ([Formula: see text]) or shrinking ([Formula: see text]). We introduce a novel algorithm that incorporates the susceptible-infected-recovered-dead model (SIRD model) with the long short-term memory (LSTM) neural network that allows for real-time forecasting and time-dependent parameter estimates, including the contact rate, [Formula: see text], and deceased rate, [Formula: see text]. With an accurate prediction of [Formula: see text] and [Formula: see text], we can directly derive [Formula: see text], and find a numerical solution of compartmental models, such as the SIR-type models. Incorporating the epidemiological model dynamics of the SIRD model into the LSTM network, the new algorithm improves forecasting accuracy. Furthermore, we utilize mobility data from cellphones and positive test rate in our prediction model, and we also present a vaccination model. Leveraging mobility and vaccination schedule is important for capturing behavioral changes by individuals in response to the pandemic as well as policymakers.

On the consistent choice of effective permittivity and conductivity for modeling graphene.

Graphene has transformed the fields of plasmonics and photonics, and become an indispensable component for devices operating in the terahertz to mid-infrared range. Here, for instance, graphene surface plasmons can be excited, and their extreme interfacial confinement makes them vastly effective for sensing and detection. The rapid, robust, and accurate numerical simulation of optical devices featuring graphene is of paramount importance and many groups appeal to Black-Box Finite Element solvers. While accurate, these are quite computationally expensive for problems with simplifying geometrical features such as multiple homogeneous layers, which can be recast in terms of interfacial (rather than volumetric) unknowns. In either case, an important modeling consideration is whether to treat the graphene as a material of small (but non-zero) thickness with an effective permittivity, or as a vanishingly thin sheet of current with an effective conductivity. In this contribution we ponder the correct relationship between the effective conductivity and permittivity of graphene, and propose a new relation which is based upon a concrete mathematical calculation that appears to be missing in the literature. We then test our new model both in the case in which the interface deformation is non-trivial, and when there are two layers of graphene with non-flat interfacial deformation.

Effect of Ticagrelor on Left Ventricular Remodeling in Patients With ST-Segment Elevation Myocardial Infarction (HEALING-AMI).

OBJECTIVES: The aim of this study was to evaluate the effect of ticagrelor versus clopidogrel on left ventricular (LV) remodeling after reperfusion of ST-segment elevation myocardial infarction (STEMI) in humans. BACKGROUND: Animal studies have demonstrated that ticagrelor compared with clopidogrel better protects myocardium against reperfusion injury and improves remodeling after myocardial infarction. METHODS: In this investigator-initiated, randomized, open-label, assessor-blinded trial performed at 10 centers in Korea, patients were enrolled if they had naive STEMI successfully treated with primary percutaneous coronary intervention (PCI) and at least 6-month planned duration of dual-antiplatelet treatment. The coprimary endpoints were LV remodeling index (LVRI) (a relative change of LV end-diastolic volume) measured on 3-dimensional echocardiography and N-terminal pro-B-type natriuretic peptide level at 6 months. RESULTS: Among initially enrolled patients with STEMI (n = 336), 139 in each group completed the study. LVRI at 6 months was numerically lower with ticagrelor versus clopidogrel (0.6 ± 18.6% vs. 4.5 ± 16.5%; p = 0.095). Ticagrelor significantly reduced the 6-month level of N-terminal pro-B-type natriuretic peptide (173 ± 141 pg/ml vs. 289 ± 585 pg/ml; p = 0.028). These differences were prominent in patients with pre-PCI TIMI (Thrombolysis In Myocardial Infarction) flow grade 0. By multivariate analysis, ticagrelor versus clopidogrel reduced the risk for positive LV remodeling (LVRI >0%) (odds ratio: 0.56; 95% confidence interval: 0.33 to 0.95; p = 0.030). The LV end-diastolic volume index remained unchanged during ticagrelor treatment (from 54.7 ± 12.2 to 54.2 ± 12.2 ml/m2; p = 0.629), but this value increased over time during clopidogrel treatment (from 54.6 ± 11.3 to 56.4 ± 13.9 ml/m2; p = 0.056) (difference -2.3 ml/m2; 95% confidence interval: -4.8 to 0.2 ml/m2; p = 0.073). Ticagrelor reduced LV end-systolic volume index (from 27.0 ± 8.5 to 24.7 ± 8.4 ml/m2; p < 0.001), whereas no reduction was seen with clopidogrel (from 26.2 ± 8.9 to 25.6 ± 11.0 ml/m2; p = 0.366) (difference -1.8 ml/m2; 95% confidence interval: -3.5 to -0.1 ml/m2; p = 0.040). CONCLUSIONS: Ticagrelor was superior to clopidogrel for LV remodeling after reperfusion of STEMI with primary PCI. (High Platelet Inhibition With Ticagrelor to Improve Left Ventricular Remodeling in Patients With ST Segment Elevation Myocardial Infarction [HEALING-AMI]; NCT02224534).

Sleep problems associated with long-term mortality in acute coronary syndrome: Effects of depression comorbidity and treatment.

OBJECTIVES: The effects of sleep disturbance and its treatment on the prognosis of patients with acute coronary syndrome (ACS) are not well understood. This study investigated the impact of sleep disturbance on long-term all-cause mortality, according to depression comorbidity and treatment, in patients with ACS. METHODS: A cross-sectional baseline study and a nested 24-week double-blind escitalopram-placebo controlled trial were carried out from May 2007 to March 2013; 5-12-year follow-up for all-cause mortality was conducted. A total of 1152 patients with ACS were stratified by baseline depression comorbidity and treatment allocation into four groups: no depression (N = 706), depression on escitalopram (N = 149), depression on placebo (N = 151), and depression on medical care as usual (CAU; N = 146). Sleep disturbance was evaluated by the Leeds Sleep Evaluation Questionnaire. During the 5-12-year follow-up, Kaplan-Meyer event rates for all-cause mortality were calculated; hazard ratios (HRs) using Cox regression models were estimated after adjustment for a range of covariates. RESULTS: Worse sleep states at baseline increased long-term all-cause mortality in all patients (HRs 1.08-1.59). The associations between worse sleep states and long-term all-cause mortality were significant in patients without depression and in patients with depression who received CAU, but not in patients with depression who participated in the 24-week trial. CONCLUSIONS: Routine evaluations of sleep disturbance in ACS and further treatment allocation may contribute to reducing long-term mortality associated with the disease. TRIAL REGISTRATION: ClinicalTrials.gov Identifier for the 24 week drug trial, NCT00419471.

Association between Obsessive-Compulsive Symptoms and Long-Term Cardiac Outcomes in Patients with Acute Coronary Syndrome: Effects of Depression Comorbidity and Treatment.

OBJECTIVE: The role of obsessive-compulsive symptoms (OCS) in patients with acute coronary syndrome (ACS) is not well elucidated. This study investigated the association between OCS and the long-term prognosis of ACS in tandem with depression comorbidity and treatment. METHODS: A cross-sectional baseline study and a nested 24-week double-blind escitalopram-placebo controlled trial were carried out between May 2007 and March 2013, and then a 5-12-year follow-up for major adverse cardiac events (MACE) was conducted. A total of 1,152 patients with ACS were stratified by baseline depression comorbidity and treatment allocation into four groups: no depression (706 patients), depression and taking escitalopram (149 patients), depression and taking a placebo (151 patients), and depression and receiving medical care as usual (CAU; 146 patients). OCS were evaluated using the Symptom Checklist-90-Revised Obsessive-Compulsive symptom domain. During the follow-up, Kaplan-Meier event rates for MACE outcomes were calculated, and hazard ratios were estimated using Cox regression models after adjusting for a range of covariates. RESULTS: A higher OCS score at baseline was associated with a worse ACS prognosis after adjusting for relevant covariates and across MACE outcomes. This association varied according to the depression comorbidity. The association was significant in patients without depression and depressive patients receiving placebos and CAU, but not in depressive patients on escitalopram. CONCLUSION: Evaluating OCS and depression is recommended during the early phase of ACS. Treatment for OCS may improve the longterm cardiac outcomes of patients with ACS.

Prognosis after treatment with multiple dental implants under general anesthesia and sedation in a cerebral palsy patient with mental retardation: A case report.

Cerebral palsy is a non-progressive disorder resulting from central nervous system damage caused by multiple factors. Almost all cerebral palsy patients have a movement disorder that makes dental treatment difficult. Oral hygiene management is difficult and the risks for periodontitis, dental caries and loss of multiple teeth are high. Placement of dental implants for multiple missing teeth in cerebral palsy patients needs multiple rounds of general anesthesia, and the prognosis is poor despite the expense. Therefore, making the decision to perform multiple dental implant treatments on cerebral palsy patients is difficult. A 33-year-old female patient with cerebral palsy and mental retardation was scheduled for multiple implant treatments. She underwent computed tomography (CT) under sedation and the operation of nine dental implants under general anesthesia. Implant-supported fixed prosthesis treatment was completed. During follow-up, she had the anterior incisors extracted and underwent the surgery of 3 additional dental implants, completing the prosthetic treatment. Although oral parafunctions existed due to cerebral palsy, no implant failure was observed 9 years after the first implant surgery.

Specific disruption of Lnk in murine endothelial progenitor cells promotes dermal wound healing via enhanced vasculogenesis, activation of myofibroblasts, and suppression of inflammatory cell recruitment.

BACKGROUND: Although endothelial progenitor cells (EPCs) contribute to wound repair by promoting neovascularization, the mechanism of EPC-mediated wound healing remains poorly understood due to the lack of pivotal molecular targets of dermal wound repair. METHODS AND RESULTS: We found that genetic targeting of the Lnk gene in EPCs dramatically enhances the vasculogenic potential including cell proliferation, migration, and tubule-like formation as well as accelerates in vivo wound healing, with a reduction in fibrotic tissue and improved neovascularization via significant suppression of inflammatory cell recruitment. When injected into wound sites, Lnk -/- EPCs gave rise to a significant number of new vessels, with remarkably increased survival of transplanted cells and decreased recruitment of cytotoxic T cells, macrophages, and neutrophils, but caused activation of fibroblasts in the wound-remodeling phase. Notably, in a mouse model of type I diabetes, transplanted Lnk -/- EPCs induced significantly better wound healing than Lnk +/+ EPCs did. CONCLUSIONS: The specific targeting of Lnk may be a promising EPC-based therapeutic strategy for dermal wound healing via improvement of neovascularization but inhibition of excessive inflammation as well as activation of myofibroblasts during dermal tissue remodeling.

Willingness to complete advance directives among low-income older adults living in the USA.

This study explored low-income older adults' willingness to (i) complete advance directives, legal documents, whereby an individual designates decision-makers in the event that they cannot make their own decisions about end-of-life treatment preferences, and (ii) the role of social support and other predictors that impact their willingness. This study was conducted as part of a larger study exploring behaviours of advance care planning among low-income older adults. Out of a total of 255 participants from the original study, this study included 204 participants who did not complete an advance directive for data analysis. A cross-sectional study using probability random sampling stratified by ethnicity was used. Older adults residing in two supportive housing facilities or who were members of a senior centre in San Diego, California, USA, were interviewed in person between December 2010 and April 2011. Hierarchical logistic regression analysis revealed that the majority of participants (72.1%) were willing to complete advance directives and the factors significantly predicting willingness to complete included self-rated health, attitudes towards advance decision-making and social support. Participants with a poorer health status (OR = 1.43, 95% CI = 1.07-1.90) were more willing to complete advance directives. Conversely, participants with higher positive attitudes (OR = 1.18, 95% CI = 1.00-1.39) and greater social support (OR = 1.07, 95% CI = 1.00-1.15) were also more willing to complete advance directives. The findings suggest the importance of ongoing support from healthcare professionals in end-of-life care planning. Healthcare professionals can be a source of support assisting older adults in planning end-of-life care. Initiating ongoing communication regarding personal value and preference for end-of-life care, providing relevant information and evaluating willingness to complete as well as assisting in the actual completion of advance directives will be necessary.

Endoscopic retrograde cholangiopancreatography in patients with previous acute coronary syndrome.

BACKGROUND/AIMS: Endoscopic retrograde cholangiopancreatography (ERCP) is considered a high-risk procedure in patients with previous acute coronary syndrome (ACS); however, clinical studies are rare in the literature. The aim of this study was to investigate the safety and efficacy of ERCP in patients with previous ACS. METHODS: We retrospectively reviewed the medical records of patients with previous ACS who underwent ERCP between January 2007 and August 2012. The clinical characteristics, ERCP diagnoses, treatment results, and complications were analyzed. RESULTS: Fifty patients underwent ERCP an average of 41.6 months after ACS. The most common indication for ERCP was calculous cholangitis. After deep biliary cannulation, endoscopic sphincterotomy, biliary stone removal and endoscopic biliary drainage were successfully performed. Immediate postsphincterotomy bleeding occurred in seven patients, which was successfully controlled using endoscopic therapy. Elevation of cardiac troponin I levels were observed in three patients (6%) before ERCP, and all of these patients were diagnosed with pancreatobiliary disease combined with recurrent ACS, which was treated with coronary artery stent insertion (n=2) and balloon angioplasty (n=1). CONCLUSIONS: Therapeutic ERCP is effective and safe in patients with previous ACS. Cardiac troponin I elevation should be considered a warning sign for recurrent ACS in patients who undergo ERCP.

Design and Methodology for the Korean Observational and Escitalopram Treatment Studies of Depression in Acute Coronary Syndrome: K-DEPACS and EsDEPACS.

Depression is common after acute coronary syndrome (ACS), adversely affecting cardiac course and prognosis. There have been only a few evidence-based treatment options for depression in ACS. Accordingly, we planned the Korean Depression in ACS (K-DEPACS) study, which investigated depressive disorders in patients with ACS using a naturalistic prospective design, and the Escitalopram for DEPACS (EsDEPACS) trial, which assessed the efficacy and safety of escitalopram for treating major or minor depression in patients with ACS. Participants in the K-DEPACS study were consecutively recruited from patients with ACS who were recently hospitalized at Chonnam National University Hospital, Gwangju, South Korea. Diagnoses were confirmed by coronary angiography from 2005. Data on depressive and cardiovascular characteristics were obtained at 2 weeks, 3 months, 12 months, and every 6 months thereafter following the index ACS admission. The K-DEPACS participants who met the DSM-IV criteria for major or minor depressive disorder were randomly assigned to groups in the 24-week, double-blind, placebo-controlled EsDEPACS trial beginning in 2007. The outcome of treatments for depressive and other psychiatric symptoms, issues related to safety, including general adversity, and cardiovascular factors were assessed. The K-DEPACS study can significantly contribute to research on the complex relationships between depression and ACS. The results of the EsDEPACS trial provide an additional treatment option for clinicians treating these patients.

SUrvey of Guideline Adherence for Treatment of Systolic Heart Failure in Real World (SUGAR): a multi-center, retrospective, observational study.

BACKGROUND: Clinical practice guidelines have been slowly and inconsistently applied in clinical practice, and certain evidence-based, guideline-driven therapies for heart failure (HF) have been significantly underused. The purpose of this study was to survey guideline compliance and its effect on clinical outcomes in the treatment of systolic HF in Korea. METHOD AND RESULTS: The SUrvey of Guideline Adherence for Treatment of Systolic Heart Failure in Real World (SUGAR) trial was a multi-center, retrospective, observational study on subjects with systolic HF (ejection fraction <45%) admitted to 23 university hospitals. The guideline adherence indicator (GAI) was defined as a performance measure on the basis of 3 pharmacological classes: angiotensin-converting enzyme inhibitor (ACEI) or angiotensin receptor II blocker (ARB), beta-blocker (BB), and aldosterone antagonist (AA). Based on the overall adherence percentage, subjects were divided into 2 groups: those with good guideline adherence (GAI ≥50%) and poor guideline adherence (GAI <50%). We included 1319 regional participants as representatives of the standard population from the Korean national census in 2008. Adherence to drugs at discharge was as follows: ACEI or ARB, 89.7%; BB, 69.2%; and AA, 65.9%. Overall, 82.7% of the patients had good guideline adherence. Overall mortality and re-hospitalization rates at 1 year were 6.2% and 37.4%, respectively. Survival analysis by log-rank test showed a significant difference in event-free survival rate of mortality (94.7% vs. 89.8%, p = 0.003) and re-hospitalization (62.3% vs. 56.4%, p = 0.041) between the good and poor guideline-adherence groups. CONCLUSIONS: Among patients with systolic HF in Korea, adherence to pharmacologic treatment guidelines as determined by performance measures, including prescription of ACEI/ARB and BB at discharge, was associated with improved clinical outcomes.

Blockage of Stat3 enhances the sensitivity of NSCLC cells to PI3K/mTOR inhibition.

The PI3K/Akt/mTOR axis in lung cancer is frequently activated and implicated in tumorigenesis. Specific targeting of this pathway is therefore an attractive therapeutic approach for lung cancer. However, non-small cell lung cancer cells are resistant to BEZ235, a dual inhibitor of PI3K and mTOR. Interestingly, blockage of Stat3 with a selective inhibitor, S3I-201, or siRNA dramatically sensitized the BEZ235-induced cell death, as evident from increased PARP cleavage. Furthermore, inhibition of Stat3 led to enhancement of cell death induced by LY294002, a PI3K inhibitor. Treatment of cells with a combination of BEZ235 and S3I-201 significantly induced the proapoptotic transcription factor, CHOP, and its targets, Bim and DR4. Knockdown of CHOP or Bim suppressed cell death stimulated by the combination treatment, implicating the involvement of these BEZ235/S3I-201-induced factors in pronounced cell death. Moreover, the BEZ235/S3I-201 combination enhanced TRAIL-induced cell death. Our results collectively suggest that blockage of Stat3 presents an effective strategy to overcome resistance to PI3K/Akt/mTOR inhibition.