Clinical significance of regional constructive and wasted work in patients receiving cardiac resynchronization therapy.

Background: Previous studies have shown that global constructive work (CW) and wasted work (WW) predict response to cardiac resynchronization therapy (CRT). This study evaluated the predictive value of regional CW and WW for reverse remodeling and clinical outcomes after CRT. Methods: We performed a prospective study involving 134 CRT candidates with left bundle branch block and left ventricular ejection fraction ≤35%. Global and regional CW and WW were calculated using pressure-strain loop analysis. CRT response was defined by reverse remodeling as a reduction of ≥15% in left ventricular end-systolic volume after six months. Results: At six-month follow-up, 92 (69%) patients responded to CRT. Of the regional CW and WW measures, lateral wall (LW) CW and septal WW were most strongly and significantly correlated with reverse remodeling. At multivariate analysis, LW CW and septal WW were both independent determinants of reverse remodeling. When LW CW and septal WW were included in the model, global CW and WW were not independently associated with reverse remodeling. LW CW and septal WW predicted reverse remodeling with an area under the curve (AUC) of 0.783 (95% CI: 0.700-0.866) and 0.737 (95% CI: 0.644-0.831), respectively. Using both variables increased the AUC to 0.832 (95% CI: 0.755-0.908). Both LW CW ≤878 mmHg% (HR 2.01; 95% CI: 1.07-3.79) and septal WW ≤181 mmHg% (HR 2.60; 95% CI: 1.38-4.90) were significant predictors of combined death and HF hospitalization at two-year follow-up. Conclusion: LW CW and septal WW before CRT are important determinants of reverse remodeling and clinical outcomes.

Wearable mobile health device for monitoring postoperative ambulation among patients with colorectal cancer undergoing minimally invasive surgery: A prospective comparison study.

BACKGROUND: This study aimed to evaluate the feasibility of using mHealth devices for monitoring postoperative ambulation among patients with colorectal cancer undergoing minimally invasive surgery (MIS). METHODS: Patients with colorectal cancer undergoing MIS were prospectively recruited to wear mHealth devices for recording postoperative ambulation between October 2018 and January 2021. The primary outcome was the compliance by evaluating the weekly submission rate of step counts. The secondary outcome was the association of weekly step counts and postoperative length of stay. RESULTS: Of 107 eligible patients, 53 patients wore mHealth devices, whereas 54 patients did not. The average weekly submission rate was 72.6% for the first month after surgery. The total step counts <4000 or >10 000 in the postoperative week one were negatively associated with postoperative length of stay (ß = -2.874, p = 0.038). CONCLUSIONS: mHealth devices provide an objective assessment of postoperative ambulation among patients with colorectal cancer undergoing MIS. CLINICAL TRIAL REGISTRATION: NCT03277235.

Factors affecting the intensity of chronic musculoskeletal pain in patients with cardiovascular disease and evaluation of the efficacy of magnesium emulsion cream for muscle cramps.

Chronic musculoskeletal pain (CMP) is associated with an increased risk of cardiovascular disease (CVD). This study aimed to determine the factors associated with the intensity of CMP in patients with underlying CVD and to evaluate the efficacy of Ice Power Magnesium In Strong Cream in patients with muscle cramps. We investigated 396 patients with or without CMP who visited an outpatient cardiology clinic and analyzed the features of CMP and factors associated with pain intensity and specific types of CVD in study 1. We also analyzed 73 patients who had muscle cramps in the lower extremities in study 2 to evaluate the efficacy of Ice Power Magnesium In Strong Cream in reducing pain intensity. In study 1, multivariable linear regression analysis showed that older age (regression coefficient [B] = 0.66, 95% confidence interval [CI], 0.07-1.24), female sex (B = 1.18, 95% CI, 0.59-1.76), presence of hypertension (B = 0.69, 95% CI, 0.05-1.33), and use of calcium supplements (B = 1.27, 95% CI, 0.31-2.24) were significantly associated with a higher intensity of CMP. In study 2, the mean pain scores at baseline, week 2 and week 4 after treatment were 5.99 ± 2.12, 2.92 ± 2.63, and 1.90 ± 2.41, respectively, and the reductions were significant at both week 2 and week 4 after treatment (P < .05). Older age, female sex, hypertension, and use of calcium supplements were associated with an increased intensity of CMP. Ice Power Magnesium In Strong Cream was effective in reducing the pain intensity of muscle cramps in the lower extremities.

A Novel KCNH2 S981fs Mutation Identified by Whole-Exome Sequencing Is Associated with Type 2 Long QT Syndrome.

KCNH2 loss-of-function mutations cause long QT syndrome type 2 (LQT2), an inherited cardiac disorder associated with life-threatening ventricular arrhythmia. Through whole-exome sequencing, we discovered a novel AGCGACAC deletion (S981fs) in the hERG gene of an LQT2 patient. Using a heterologous expression system and patch clamping, we found that the mutant K channel had reduced cell surface expression and lower current amplitude compared to the wild type. However, functional expression was restored by lowering temperature and using potassium channel inhibitors or openers (E4031, cisapride, nicorandil). Co-immunoprecipitation experiments confirmed the assembly of mutant proteins with wild-type hERG. Confocal imaging showed decreased hERG distribution on the cell membrane in cells expressing S981fs. Notably, treatment with G418 significantly increased hERG current in wild-type/S981fs heterozygotes. In conclusion, our study identifies a novel hERG mutation leading to impaired Kv11.1 function due to trafficking and nonsense-mediated RNA decay defects. These findings shed light on the mechanisms underlying LQT2 and offer potential therapeutic avenues.

Prevention of Glutamate-Induced Neurodegeneration by Piceatannol via Mitochondrial Rescue In Vitro and In Vivo.

SCOPE: Parkinson's disease is one of the neurodegenerative diseases that have no cure. Excitotoxicity induced by excess glutamate is known to be a hallmark of these diseases. Therefore, this study aims to evaluate the preventive effect of piceatannol on glutamate-induced neurodegeneration via mitochondrial rescue. METHODS AND RESULTS: The PC12 cell line and three Caenorhabditis elegans (C. elegans) strains are employed to achieve the aim. In the in vitro study, the results show that piceatannol can prevent glutamate-induced apoptosis. Piceatannol also reduces mitochondrial reactive oxygen species (ROS) accumulation by activating the antioxidant system. Moreover, piceatannol can also promote mitochondrial biogenesis and induced mitochondrial fusion-related genes to preserve mitochondrial functionality. In the C. elegans model, piceatannol can prevent mitochondrial fragmentation induced by glutamate. More importantly, piceatannol effectively protects dopaminergic neurons from degradation and preserves the responses controlled by these neurons. CONCLUSION: The findings suggest that piceatannol can be a more effective and potent candidate for the treatment of neurodegenerative diseases, such as Parkinson's disease, compared to resveratrol. It is capable of preventing neurodegeneration induced by excess glutamate, possibly via mitochondrial rescue. It is recommended that piceatannol be developed into a neuroprotective agent.

Beneficial Effects of Fixed-Dose Combination of Amlodipine and Atorvastatin in Patients with Concomitant Hypertension and Hypercholesterolemia: A Multi-Institutional Cohort Study.

Background: Blood pressure (BP) and low-density lipoprotein cholesterol (LDL-C) are important risk factors for cardiovascular (CV) diseases. Although treating these factors simultaneously is recommended by current guidelines, only short-term clinical results are available. Objectives: To examine the longer-term efficacy and safety of fixed-dose combination (FDC) versus free combination of amlodipine and atorvastatin in patients with concomitant hypertension and hypercholesterolemia. Methods: Patients with hypertension and hypercholesterolemia were stratified into three groups [FDC of amlodipine 5 mg/atorvastatin 10 mg (Fixed 5/10), FDC of amlodipine 5 mg/atorvastatin 20 mg (Fixed 5/20), and free combination of amlodipine 5 mg/atorvastatin 10 mg (Free 5/10)]. After inverse probability of treatment weighting, the composite CV outcome, liver function, BP, LDL-C and glycated hemoglobin (HbA1c) changes were compared. Results: A total of 1,788 patients were eligible for analysis, and the mean follow-up period was 1.7 year. There was no significant difference in the composite CV outcome among the three groups (Fixed 5/10 6.1%, Fixed 5/20 6.3% and Free 5/10 6.0%). The LDL-C level was significantly reduced in the Fixed 5/20 group (-35.7 mg/dL) compared to the Fixed 5/10 (-23.6 mg/dL) and Free 5/10 (-10.3 mg/dL) groups (p = 0.001 and < 0.001, respectively). The changes in HbA1c were similar among the three groups. Conclusions: FDC of amlodipine and atorvastatin, especially the regimen with a higher dosage of statins, significantly reduced the mid-term LDL-C level compared to a free combination in patients with concomitant hypertension and hypercholesterolemia. Blood sugar level was not significantly changed by this aggressive treatment strategy.

A Precision Health Service for Chronic Diseases: Development and Cohort Study Using Wearable Device, Machine Learning, and Deep Learning.

This paper presents an integrated and scalable precision health service for health promotion and chronic disease prevention. Continuous real-time monitoring of lifestyle and environmental factors is implemented by integrating wearable devices, open environmental data, indoor air quality sensing devices, a location-based smartphone app, and an AI-assisted telecare platform. The AI-assisted telecare platform provided comprehensive insight into patients' clinical, lifestyle, and environmental data, and generated reliable predictions of future acute exacerbation events. All data from 1,667 patients were collected prospectively during a 24-month follow-up period, resulting in the detection of 386 abnormal episodes. Machine learning algorithms and deep learning algorithms were used to train modular chronic disease models. The modular chronic disease prediction models that have passed external validation include obesity, panic disorder, and chronic obstructive pulmonary disease, with an average accuracy of 88.46%, a sensitivity of 75.6%, a specificity of 93.0%, and an F1 score of 79.8%. Compared with previous studies, we establish an effective way to collect lifestyle, life trajectory, and symptom records, as well as environmental factors, and improve the performance of the prediction model by adding objective comprehensive data and feature selection. Our results also demonstrate that lifestyle and environmental factors are highly correlated with patient health and have the potential to predict future abnormal events better than using only questionnaire data. Furthermore, we have constructed a cost-effective model that needs only a few features to support the prediction task, which is helpful for deploying real-world modular prediction models.

Benzodiazepines in Patients with Heart Failure and Reduced Ejection Fraction.

Background: In patients with heart failure (HF), anxiety or insomnia is prevalent and associated with poor clinical outcomes. Benzodiazepines (BZDs) are one of the most commonly prescribed medications for anxiety or insomnia in Taiwan. Evidence regarding the effects of BZDs on patients with heart failure and reduced ejection fraction (HFrEF) is inconclusive. Objectives: To evaluate whether BZDs can mitigate the adverse effects of anxiety or insomnia on the prognosis of patients with HFrEF. Methods: Patients with HFrEF were identified from the Chang Gung Research Database between January 1, 2007 and December 31, 2018. Those who received BZD prescriptions were defined as the BZD group; patients in the BZD group were then paired with those who had never been prescribed BZDs after matching for age, sex, and baseline left ventricular ejection fraction, defined as the no-BZD group. Propensity score matching was used to balance baseline characteristics. Cox proportional hazards model and the Fine-Gray subdistribution hazard model were used to examine the association between BZD prescription and the risks of adverse cardiovascular outcomes. Results: After propensity score matching, there were 1,941 patients in both BZD and no-BZD groups. The composite of cardiovascular (CV) death or HF hospitalization (HFH) occurred in 64.4% and 54.4% of the patients in the BZD and no-BZD groups, respectively [hazard ratio (HR): 1.44; 95% confidence interval (CI): 1.32-1.56], which was mainly driven by HFH (HR: 1.52; 95% CI: 1.39-1.67). Conclusions: In the patients with HFrEF, those who received BZD were at a higher overall risk of CV death and HFH.

Dietary Methylglyoxal Exposure Induces Alzheimer's Disease by Promoting Amyloid ß Accumulation and Disrupting Autophagy in Caenorhabditis elegans.

Methylglyoxal (MG) is a precursor of advanced glycation end products usually generated during cooking. The high level of MG in the brain is correlated to the pathogenesis of Alzheimer's disease (AD). However, it is not clear if MG consumed through the diet can cause AD-related toxicity. Herein, the Caenorhabditis elegans (C. elegans) AD model was used to investigate the neurotoxicity after long-term MG exposure at dietary levels. The results showed that C. elegans locomotive behaviors were significantly decreased after 0.1, 0.5, and 1 mM MG exposure (p < 0.001). In amyloid ß (Aß)-expressing transgenic C. elegans strains, 0.5 mM MG significantly promoted Aß accumulation by around 50% in day-8 CL2006 (p < 0.001), enhanced paralysis in CL4176 (p < 0.001) and CL2006 (p < 0.01), and made CL2355 around 17% more vulnerable to 5-HT, indicating impaired serotonin reuptake (p < 0.05). Additionally, 0.5 mM MG significantly increased the reactive oxygen species level (p < 0.001) by inhibiting the expression of stress-response genes including sod-3, gst-4, and hsp-16.2 in day-8 aged worms. Moreover, the autophagic pathway was disrupted through lgg-1, vps-34, and bec-1 expression after MG exposure and Aß accumulation. Treatment with the citrus flavonoid nobiletin reduced the MG-induced toxicity (p < 0.001). Overall, these findings imply that it is possible to exacerbate AD pathogenesis by MG exposure through the diet.

Acute Fulminant Myocarditis After ChAdOx1 nCoV-19 Vaccine: A Case Report and Literature Review.

According to recent literatures, myocarditis is an uncommon side effect of mRNA vaccines against COVID-19. On the other hand, myocarditis after adenovirus based vaccine is rarely reported. Here we report a middle-aged healthy female who had acute fulminant perimyocarditis onset 2 days after the first dose of ChAdOx1 vaccine (AstraZeneca) without any other identified etiology. Detailed clinical presentation, serial ECGs, cardiac MRI, and laboratory data were included in the report. Possible mechanisms of acute myocarditis after adenoviral vaccine was reviewed and discussed. To our knowledge, a few cases of myocarditis after Ad26.COV2.S vaccine were reported, and this is the first case report after ChAdOx1 vaccine.

The necessity of abdominal drainage for patients with complicated appendicitis undergoing laparoscopic appendectomy: a retrospective cohort study.

BACKGROUND: This study aimed to evaluate the necessity of abdominal drainage after laparoscopic appendectomy in patients with complicated appendicitis. METHODS: Patients with acute appendicitis undergoing laparoscopic appendectomy at two hospitals between January 2014 and December 2018 were retrospectively included. Complicated appendicitis was defined as the American Association for the Surgery of Trauma (AAST) grade ≥ II. The patients were classified according to the AAST grade and the indwelling of abdominal drainage. The postoperative surgical outcomes and recovery were compared among patient groups to evaluate the impact of abdominal drainage for patients with complicated appendicitis undergoing laparoscopic appendectomy. RESULTS: A total of 1241 patients was retrospectively included. Among them, there were 820 patients with simple appendicitis (AAST grade I) and 421 patients with complicated appendicitis (AAST grade ≥ II). For complicated appendicitis, the drainage group (N = 192) tended to harbor more overall complications, intra-abdominal abscess formation, time to resume a soft diet, and the postoperative length of hospitalization (P = 0.0000 for all). Multivariate logistic regression confirmed that abdominal drainage increased the risk of overall complications [Odds ratio (OR) 2.439; 95% confidence interval (CI) 1.597-3.726; P ≤ 0.0001] and failed to decrease the risk of intra-abdominal abscess formation (OR 1.655; 95% CI 0.487-5.616; P = 0.4193). Multivariate linear regression analysis also showed that the drainage group harbored longer postoperative length of hospitalization (Coefficients: 20.697; 95% CI 15.251-26.143; P < 0.0001) and time to resume a soft diet (Coefficients: 45.899; 95% CI 34.502-57.297; P < 0.0001). CONCLUSIONS: Abdominal drainage did not prevent overall complications in patients with complicated appendicitis; paradoxically, it delayed the convalescence. Our results discourage the routine use of abdominal drainage and suggest that abdominal drainage should be performed sparingly.

Panic Attack Prediction Using Wearable Devices and Machine Learning: Development and Cohort Study.

BACKGROUND: A panic attack (PA) is an intense form of anxiety accompanied by multiple somatic presentations, leading to frequent emergency department visits and impairing the quality of life. A prediction model for PAs could help clinicians and patients monitor, control, and carry out early intervention for recurrent PAs, enabling more personalized treatment for panic disorder (PD). OBJECTIVE: This study aims to provide a 7-day PA prediction model and determine the relationship between a future PA and various features, including physiological factors, anxiety and depressive factors, and the air quality index (AQI). METHODS: We enrolled 59 participants with PD (Diagnostic and Statistical Manual of Mental Disorders, 5th edition, and the Mini International Neuropsychiatric Interview). Participants used smartwatches (Garmin Vívosmart 4) and mobile apps to collect their sleep, heart rate (HR), activity level, anxiety, and depression scores (Beck Depression Inventory [BDI], Beck Anxiety Inventory [BAI], State-Trait Anxiety Inventory state anxiety [STAI-S], State-Trait Anxiety Inventory trait anxiety [STAI-T], and Panic Disorder Severity Scale Self-Report) in their real life for a duration of 1 year. We also included AQIs from open data. To analyze these data, our team used 6 machine learning methods: random forests, decision trees, linear discriminant analysis, adaptive boosting, extreme gradient boosting, and regularized greedy forests. RESULTS: For 7-day PA predictions, the random forest produced the best prediction rate. Overall, the accuracy of the test set was 67.4%-81.3% for different machine learning algorithms. The most critical variables in the model were questionnaire and physiological features, such as the BAI, BDI, STAI, MINI, average HR, resting HR, and deep sleep duration. CONCLUSIONS: It is possible to predict PAs using a combination of data from questionnaires and physiological and environmental data.

Arrhythmia Detection is Improved by 14-Day Continuous Electrocardiography Patch Monitoring and CHA2DS2-VASc Score.

BACKGROUND: Arrhythmias are not always easy to capture because they are often paroxysmal or asymptomatic. METHODS: Using the CHA2DS2-VASc score for arrhythmia risk assessment, a 14-day electrocardiography monitor patch was used to evaluate patients with no documented history of arrhythmia. RESULTS: Ninety-three patients (mean age 59.8 ± 12.0 years, 46.2% female) received 14-day electrocardiography telemonitoring, and 14 patients (15%) were diagnosed with arrhythmias during a follow-up of 1004.4 person-days (mean recorded days 10.8 ± 4.1). The patients who were detected to have arrhythmias were older and had a higher prevalence of heart failure and chronic kidney disease. The result showed that arrhythmias were more likely to develop during a 14-day monitoring period in the patients with a CHA2DS2-VASc score of ≥ 3 or ≥ 4. Atrioventricular block was more likely to be detected in the patients with a CHA2DS2-VASc score of ≥ 3 or ≥ 4 during 7-day or 14-day monitoring periods. Ventricular tachycardia was also more likely to be detected in the patients with a CHA2DS2-VASc score of ≥ 4 or ≥ 5 during a 14-day monitoring period. When evaluating the risk of arrhythmia, a CHA2DS2-VASc score of ≥ 3 or ≥ 4 was associated with a higher risk of any arrhythmias during a 14-day monitoring period, while a CHA2DS2-VASc score of ≥ 4 was associated with a higher risk of any arrhythmias during a 7-day monitoring period. CONCLUSIONS: The results may suggest that a 14-day monitoring period is more favorable to detect arrhythmias. Atrioventricular block and ventricular tachycardia were more likely to develop in the patients with a higher CHA2DS2-VASc score.

Major adverse limb events in type 2 diabetes patients receiving glucagon-like peptide-1 receptor agonists versus sodium-glucose cotransporter 2 inhibitors: A retrospective multi-institutional study.

AIMS: To compare the risk of incident major adverse limb events (MALEs) between patients with type 2 diabetes (T2DM) who initiated glucagon-like peptide-1 receptor agonists (GLP-1 RAs) or sodium-glucose cotransporter-2 Inhibitors (SGLT2Is). METHODS: T2DM patients with prescriptions of GLP-1 RAs or SGLT2Is between January 1, 2016 and December 31, 2018 were retrospectively identified from a multi-institutional database. We used inverse probability of treatment weighting (IPTW) to balance covariates, and compared MALEs between GLP-1 RAs and SGLT2Is initiators using Fine and Gray subdistribution hazard model. RESULTS: There were 3,087 patients in the GLP-1 RAs group and 19,101 patients in the SGLT2Is group. After IPTW adjustment, the mean ages were 59.0 and 58.8 years, mean durations of diabetes were 6.4 years and 6.1 years, and 25.4% and 28.4% of the patients had cardiovascular disease, respectively. Lower extremity arterial disease was uncommon in both groups (2%). Those who initiated GLP-1 RAs treatment were associated with reduced rate of MALEs (adjusted subdistribution hazard ratio [HR] 0.62, 95% confidence interval 0.46-0.83). CONCLUSIONS: T2DM patients who received GLP-1 RAs treatment were associated with lower risk of MALEs compared to those who received SGLT2Is treatment.

Acute Exacerbation of a Chronic Obstructive Pulmonary Disease Prediction System Using Wearable Device Data, Machine Learning, and Deep Learning: Development and Cohort Study.

BACKGROUND: The World Health Organization has projected that by 2030, chronic obstructive pulmonary disease (COPD) will be the third-leading cause of mortality and the seventh-leading cause of morbidity worldwide. Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) are associated with an accelerated decline in lung function, diminished quality of life, and higher mortality. Accurate early detection of acute exacerbations will enable early management and reduce mortality. OBJECTIVE: The aim of this study was to develop a prediction system using lifestyle data, environmental factors, and patient symptoms for the early detection of AECOPD in the upcoming 7 days. METHODS: This prospective study was performed at National Taiwan University Hospital. Patients with COPD that did not have a pacemaker and were not pregnant were invited for enrollment. Data on lifestyle, temperature, humidity, and fine particulate matter were collected using wearable devices (Fitbit Versa), a home air quality-sensing device (EDIMAX Airbox), and a smartphone app. AECOPD episodes were evaluated via standardized questionnaires. With these input features, we evaluated the prediction performance of machine learning models, including random forest, decision trees, k-nearest neighbor, linear discriminant analysis, and adaptive boosting, and a deep neural network model. RESULTS: The continuous real-time monitoring of lifestyle and indoor environment factors was implemented by integrating home air quality-sensing devices, a smartphone app, and wearable devices. All data from 67 COPD patients were collected prospectively during a mean 4-month follow-up period, resulting in the detection of 25 AECOPD episodes. For 7-day AECOPD prediction, the proposed AECOPD predictive model achieved an accuracy of 92.1%, sensitivity of 94%, and specificity of 90.4%. Receiver operating characteristic curve analysis showed that the area under the curve of the model in predicting AECOPD was greater than 0.9. The most important variables in the model were daily steps walked, stairs climbed, and daily distance moved. CONCLUSIONS: Using wearable devices, home air quality-sensing devices, a smartphone app, and supervised prediction algorithms, we achieved excellent power to predict whether a patient would experience AECOPD within the upcoming 7 days. The AECOPD prediction system provided an effective way to collect lifestyle and environmental data, and yielded reliable predictions of future AECOPD events. Compared with previous studies, we have comprehensively improved the performance of the AECOPD prediction model by adding objective lifestyle and environmental data. This model could yield more accurate prediction results for COPD patients than using only questionnaire data.

Association of family history with incidence and gestational hypertension outcomes of preeclampsia.

BACKGROUND: Gestational hypertension and preeclampsia are hypertensive disorders related to pregnancy that can cause maternal morbidity and fetal growth retardation. The association of these disorders with family history remains unclear. OBJECTIVES: To examine the degree of family aggregation of preeclampsia and gestational hypertension in Taiwan. METHODS: The study was conducted using the data from the National Health Insurance Database of Taiwan. Delivery events in Taiwan from 1999 to 2013 were collected. Preeclampsia was identified based on the hospital diagnosis of index delivery. The family aggregation pattern of preeclampsia was assessed and analyzed using the relationship registered in the database with the patients. RESULTS: A total of 60,314 preeclampsia events were identified among 4,091,641 deliveries, accounting for 1.5% of the cohort. The incidence of preeclampsia increased with maternal age. A total of 768 preeclampsia events occurred in mothers who had a sororal history of preeclampsia (n = 20,704), accounting for 1.3% of all preeclampsia events (n = 60,314). Mothers who had a sororal history of preeclampsia had a relative risk (RR) of 2.6 (95% confidence interval [CI]: 2.41-2.80) for preeclampsia compared with mothers who did not have a sororal history of preeclampsia. The RR for gestational hypertension was 2.79 (95% CI: 2.36-3.3) in mothers with a positive sororal history of gestational hypertension. CONCLUSIONS: Having a sororal history of preeclampsia was a strong risk factor for preeclampsia and gestational hypertension in mothers in Taiwan. The pattern of family aggregation was similar at all maternal ages.

Resuscitation outcomes of a wireless ECG telemonitoring system for cardiovascular ward patients experiencing in-hospital cardiac arrest.

BACKGROUND/PURPOSE: In-hospital cardiac arrest is a serious issue for hospitalized patients. The documented initial rhythm and detected medical events have been reported to influence the survival of cardiopulmonary resuscitation. This study aimed to identify the effect of continuous real-time electrocardiogram (ECG) monitoring on the prognosis of resuscitated patients in a general cardiac ward. METHODS: We conducted this retrospective study using medical records of hospitalized patients in a cardiovascular ward who experienced an in-hospital cardiac arrest and received cardiopulmonary resuscitation from February 2015 to December 2018. The patients who were considered to be at high risk of cardiac events such as ventricular arrhythmia would receive continuous ECG monitoring. A wireless ECG telemonitoring system was introduced to replace traditional bedside ECG monitors. The outcome measures were the initial success of resuscitation, 24-h survival after resuscitation, and survival to discharge. RESULTS: We enrolled 115 patients with a cardiac arrest during hospitalization, of whom 73 (63%) patients received wireless ECG telemonitoring. Patients receiving continuous ECG monitoring were associated with higher opportunities of initial success of resuscitation and 24-h survival after resuscitation (67.1% vs. 40.5%, p = 0.005; and 49.3% vs. 26.2%, p = 0.015, respectively) when comparing to the non-monitoring group; but no significant difference in survival to discharge (21.9% vs. 16.7%, p = 0.498) was observed. With adjustment of the covariates, the monitoring group was associated with a higher likelihood to reach the initial success of resuscitation (odds ratios [ORs], 3.21; 95% confidence interval [CI], 1.03-9.98). However, the effect of monitoring on 24-h survival and survival to discharge was close to null after adjusting for covariates. CONCLUSION: A wireless ECG telemonitoring system were beneficial to the initial success of resuscitation for patients at high risk of cardiovascular events suffering an in-hospital cardiac arrest; but had less impact on 24-h survival and survival to discharge.

Real-world Comparisons of Direct Oral Anticoagulants for Stroke Prevention in Asian Patients with Non-valvular Atrial Fibrillation: a Systematic Review and Meta-analysis.

BACKGROUND: Whether four direct oral anticoagulants (DOACs) are superior to warfarin among Asians with non-valvular atrial fibrillation (NVAF) remains unclear in the real-world setting. METHODS: We searched PubMed and Medline + Journals@Ovid + EMBASE from September 17, 2009 to May 4, 2019 to perform a systematic review and meta-analysis of all observational real-world studies comparing four DOACs with warfarin specifically focused on Asian patients with NVAF. RESULTS: From the original 212 results retrieved, 18 studies were included in the meta-analysis. Overall, DOACs were associated with lower risks of thromboembolism (hazard ratio; [95% confidence interval], 0.70; [0.63-0.78]), acute myocardial infarction (0.67; [0.57-0.79]), all-cause mortality (0.62; [0.56-0.69]), major bleeding (0.59; [0.50-0.69]), intracranial hemorrhage (0.50; [0.40-0.62]), gastrointestinal bleeding (0.66; [0.46-0.95]), and any bleeding (0.82; [0.73-0.92]) than warfarin. There was statistic heterogeneity between DOACs for the risks of thromboembolism (P interaction = 0.03) and acute myocardial infarction (P interaction = 0.007) when compared to warfarin. However, all DOACs showed lower risks of thromboembolism and acute myocardial infarction than warfarin when pooling studies that compared individual DOAC with warfarin. With regard to the other outcomes when compared to warfarin, there was no statistical heterogeneity between DOACs. In addition, the effectiveness and safety of four DOACs versus warfarin persisted in the subgroups of either standard-dose or low-dose DOACs. CONCLUSIONS: The meta-analysis shows that the DOACs had greater effectiveness and safety compared to warfarin in real-world practice for stroke prevention, among Asian patients with NVAF.

Left bundle-branch block contraction patterns identified from radial-strain analysis predicts outcomes following cardiac resynchronization therapy.

A left bundle-branch block (LBBB) contraction pattern identified from longitudinal-strain analysis predicts outcomes following cardiac resynchronization therapy (CRT). We investigated the use of an LBBB-contraction pattern identified from radial- or circumferential-strain analysis in the prediction of CRT benefits. Eighty CRT candidates were prospectively enrolled. Before CRT implantation, speckle-tracking analyses in three deformation directions were performed to determine whether an LBBB-contraction pattern was present. The study endpoints were reverse remodeling at 6 months, and adverse outcomes including death or heart failure hospitalization. At 6 months, 49 (61%) patients had reverse remodeling. An LBBB-contraction pattern identified from the radial strain in the mid-ventricular short-axis view or longitudinal strain in the four-chamber view provided excellent true-positive (86%) and false-negative (8%) rates for predicting reverse remodeling. During a median follow-up of 30 months, 31 patients (39%) had adverse outcomes. Absence of an LBBB-contraction pattern in radial (hazard ratio 3.74; 95% confidence interval 1.83-7.62) or longitudinal strain (hazard ratio 3.49; 95% confidence interval 1.71-7.13) was significantly associated with an increased risk of adverse outcomes. Adding the LBBB-pattern assessment by radial-(model χ2 from 8.2 to 18.5, p = 0.005), or longitudinal-strain analysis (model χ2 from 8.2 to 16.9, p = 0.011) to a risk model significantly improved the model, including QRS duration and ischemic etiology. In conclusion, an LBBB-contraction pattern identified from radial-strain analysis in the mid-ventricular short-axis view predicted reverse remodeling and outcome following CRT, similarly to the longitudinal-strain analysis.