Occurrence Of Events Research Articles

Non-invasive imaging to guide percutaneous coronary revascularization in chronic total occlusion: a systematic review and meta-analysis

Abstract Background and aims Whether recanalization of coronary chronic total occlusions (CTO) leads to improved patient outcomes is uncertain. We set out to investigate the use of noninvasive imaging modalities to guide patient selection for percutaneous recanalization of coronary chronic total occlusions (CTO-PCI) and its association with outcomes. Methods Systematic review and meta-analysis of studies involving patients undergoing CTO-PCI to detail use of preprocedural non-invasive imaging, change in clinical endpoints and the occurrence of clinical events in these patient cohorts. PubMed and Embase, the Cochrane Database of Systematic Reviews, the PROSPERO database and the Clinical Trials Registry were searched for relevant randomized and observational studies up to May 2023. This study is registered with PROSPERO. The study primary endpoint was a composite of all-cause death and nonfatal myocardial infarction (MI), with a secondary composite endpoint of cardiovascular death, nonfatal MI and target vessel revascularization (TVR). Additional endpoints were individual components of the composite endpoints along with changes in angina burden, LV ejection fraction, ischemic burden, and infarct extent after PCI. Results Of 1264 publications retrieved, 31 studies (26 observational and 5 randomized) were finally included for a total of 7260 patients. Guidance to CTO-PCI varied greatly among included studies, with only a minority implementing routine preprocedural inducible ischemia and myocardial viability assessment. At a median of 3.1 years (range 1-5 years), the primary endpoint occurred at a rate of 3.1 events per 100 patient-years (95%CI: 2.4-3.7). When non-invasive imaging was used to guide CTO-PCI, patients with myocardial ischemia and/or viability, a reduced risk for the primary endpoint was observed (OR 0.3 95%CI 0.2-0.5) compared to CTO-PCI without evidence of myocardial ischemia and/or viability. CTO-PCI was associated with improvements in SAQ summary score, LVEF, reduction of ischemic burden, improvement in myocardial perfusion (all P-values < 0.01), with no change in the burden of myocardial scarring. At meta-regression analysis, a greater improvement in LVEF was observed in studies enrolling patients with lower average baseline LVEF (≤ 45%) (R2 = 63%, p < 0.0001). Conclusions CTO-PCI led to a significant improvement in symptom status (reduction of chest pain) and LV ejection fraction. CTO-PCI guided by the presence of ischemia and/or viability was associated with improved patient outcomes compared with CTO-PCI in the absence of ischemia and/viability, or in patients where non-invasive imaging testing was not performed. Future randomized clinical trials testing whether ischemia and viability-guided CTO-PCI improves clinical outcomes are lacking and warranted.PRISMA Flow diagramGraphical abstract

The incremetal predictive value of pulse wave velocity over score2 in the setting of primary cardiovascular prevention: a 6-year follow-up study

Abstract Background Arterial stiffness has been shown to be an independent additive predictor to several traditional risk factors regarding cardiovascular events. Purpose We studied in a prospective cohort whether arterial stiffness has an additive value to SCORE2 in predicting cardiovascular risk. Methods In 747 healthy subjects, we measured carotid-to-femoral pulse wave velocity (PWV), a marker of aortic stiffness. We prospectively documented the incidence of cardiovascular events (major adverse cardiovascular events [MACE]-death, stroke and myocardial infarction) during a 6-year follow-up period. Results Sixty MACE were recorded. Increased values of PWV predicted greater risk for MACE in a model including diabetes, smoking, hypertension, hyperlipidemia, sex and age (hazard ratio (HR)=1.09; 95%CI=1.03 – 1.14; p<0.001, Chi-square change = 8.05; p=0.004; c-statistic increased from 0.74 (0.66 – 0.81) to 0.77 (0.71 – 0.83), p=0.025). PWV was an independent and additive predictor of events when added in a model encompassing the SCORE2 and diabetes (HR=1.07; 95%CI=1.04 – 1.11; p<0.001, Chi-square change = 43.12; p<0.001, c-statistic increased from 0.73 (0.66 - 0.80) to 0.76 (0.70 - 0.82); p=0.014). Also PWV predicted significantly the occurrence of events in all subgroups of each risk factor (for smokers and non-smokers: HR=1.31 and HR=1.11 respectively; for participants with hypertension and participants without hypertension: HR=1.23 and HR=1.12 respectively; for participants with hyperlipidemia vs participants without hyperlipidemia: HR=1.19 and HR=1.12 respectively; for participants with diabetes and participants without diabetes HR=1.19 and HR=1.12 respectively) (p<0.05 for all subgroups). Conclusion PWV confers an additive prognostic value to SCORE2 in primary prevention.

Left atrial function predicts long-term outcome in hypertension and diabetes across genders

Abstract Introduction In the last decade, peak atrial longitudinal strain (PALS) was ascertained to be superior to conventional echocardiographic indices for secondary cardiovascular (CV) prevention. Purpose Standard and advanced echocardiography including PALS was evaluated to find predictors of prognosis in patients with arterial hypertension and/or diabetes for the optimization of primary CV prevention. Methods Hypertensive and/or diabetic patients >40 years old and in sinus rhythm who underwent a complete cardiological evaluation at our centre in 2008-2015 were retrospectively included. Personal history, physical examination, standard and advanced (speckle tracking) echocardiographic data were collected. The exclusion criteria were previous cv events or cardiac surgery, active pacemaker, more than moderate valvular regurgitation and/or stenosis, missing informed consent. All patients were followed up for a mean time of 11.2±1.3 years for the development of first atrial fibrillation (AF) episode, congestive heart failure hospitalization, transient ischemic attack, stroke, myocardial infarction/coronary revascularization, and CV death. Univariate and multivariable stepwise Cox regressions were performed to estimate Hazard Ratio (HR). Kaplan Meier curves (KM) compared the survival between patients with different ranges of Global PALS. Log-rank test was performed to compare the KM curves. Results This retrospective study included 292 adults (mean age 63.0±9.0 years, 50% female), among which 210 hypertensives and 67 diabetics. Mean left ventricular (LV) ejection fraction (EF) was 58.2±4.9%, mean GLS was -17.0±6.6%, mean left atrial volume was 52.9±24.9ml and mean PALS 29.7±11.1%. During follow up, 110 patients developed at least one cv event: 52 all-cause deaths, 28 CV deaths, 30 heart failure admissions, 31 first AF episode, 18 TIA/strokes, 25 myocardial infarction/revascularization. Dividing the population according to events occurrence, patients with events had similar EF (p= 0.06), while being older (65.8±9.6 vs 61.3±9.0 years) and with a worse diastolic function (E/E’ ratio 10.6±5.0 vs 8.7±3.6), LV longitudinal strain (GLS, -17.7±2.9 vs -15.7±3.4%) and PALS (34.6±9.9 vs 21.6±7.7%, all p <0.001). From univariate statistical analysis, age, E/E’, PAPs, GLS and PALS were all predictors of events, but only age (HR 1.03, p=0.03) and PALS (PALS<22.5% HR 18.99 and PALS 22.5-30 HR 7.68, both p<0.001) remained independently associated with outcome at multivariate analysis. Patients with PALS<22.5 have an event-free survival of 82.4% at 1 year, 49.8% at 5 years and 25.3% at 10 years compared to 100% at 1 year, 98.5% at 5 years and 92.5% at 10 years if PALS PALS>30% (Fig.1). The same results were confirmed in female population (Fig.2). Conclusions If confirmed by larger studies, PALS could be a quick, feasible and reliable part of cardiologic evaluation for prognostic stratification in primary CV prevention in hypertensive and/or diabetic patients.Fig. 1Fig. 2

Is genetic information helpful in predicting recurrent events in young patients after acute coronary syndrome?

Abstract Coronary Artery Disease (CAD) shares environmental and genetic factors. Young patients with acute coronary syndrome (ACS) carry a poor long-term prognosis. The clinical utility of genetic information in predicting CAD events remains unknown. Aim Evaluate the clinical utility of a multiplicative Genetic Risk Score (mGRS) to predict lifelong residual risk in CAD patients below 55 years with few risk factors. Methods 475 non-diabetic patients with LDL cholesterol levels below 100mg/dL at the first admission who suffered a prior MI at age ≤55 years were followed prospectively for a mean of 5.6±5.3 years. A mGRS was performed with nine variants associated with CAD but not with traditional risk factors (TRF): CDKN2B-AS1 (rs1333049 and rs4977574), TCF21 (rs12190287), PHACTR1 (rs1332844), MIA3 (rs17465637), ADAMTS7 (rs3825807), ZC3HC1 (rs11556924), SMAD3 (rs17228212) and GJA4 (rs618675). The mGRS was subdivided into terciles. Using Cox regression analysis, the predictive and discriminative score ability for events was evaluated. C-statistic discriminated cardiovascular events occurrence. Whether mGRS was included in the TRF model, Net Reclassification Improvement (NRI), or Integrated Discrimination Improvement (IDI) reclassified patients. Kaplan-Meier method estimated survival curves. Results There were 153 patients with at least one cardiovascular event. The bivariate analysis showed the strongest correlation with second and third mGRS tercile, multivessel disease, left ventricular dysfunction, and inflammation. Multivariate Cox regression HR adjusted for events was 1.44 (p=0.103) for the intermediate and 2.00 (p=0.001) for the high-risk tercile. The mGRS inclusion improved C-statistic (∆C-index=0.010; p=0.004), NRI (35.4%; p<0.0001) and IDI (2.7%; p=0.0005). Conclusions Our 9-SNP mGRS better identified and reclassified younger CAD patients with a high probability of cardiovascular events, improving clinical decision-making and reducing costs for therapeutic strategies.

Vital Predictive and Prognostic Roles of Triglyceride-Glucose Index in Women With Acute Myocardial Infarction: A Retrospective Cohort Study.

As a biomarker of insulin resistance (IR) in patients with acute myocardial infarction (AMI), the triglyceride-glucose index (TyG index) has received significant attention. However, most research on AMI has focused on male patients, as it is traditionally believed to primarily affect males. Therefore, this study was conducted on a female population with AMI to investigate the potential correlation between the TyG index and their outcomes. A total of 320 women who were admitted to Fujian Provincial Hospital for AMI between January 2017 and December 2019 were included in this study. The TyG index was calculated using the following formula: ln [fasting triglycerides (TG) (mg/dL) × fasting plasma glucose (FPG) (mg/dL)/2]. The primary endpoint of the study was the occurrence of major adverse cardiovascular and cerebrovascular events (MACCEs), which included all-cause mortality, myocardial infarction, repeat revascularization, rehospitalization for heart failure and stroke. The association between the TyG index and unfavorable outcomes in female patients was investigated using the Cox proportional hazards regression model. It was ultimately estimated that 111 patients developed MACCEs. Females with high TyG indices had a higher prevalence of diabetes, elevated heart rates, and hemoglobin A1c, as well as a higher likelihood of undergoing thrombus aspiration and stent placement. The TyG index was found to be positively correlated with the prevalence of hypertension, diabetes, low-density lipoprotein cholesterol, hemoglobin A1c, and damaged vessels. However, this correlation was modest, yet statistically significant. Furthermore, after adjusting for conventional risk factors, the TyG index (HR: 4.292, 95% CI: 2.784-6.616, p < 0.001) was independently associated with MACCEs. As an independent risk predictor, the TyG index has the potential to enhance clinical outcomes for women with AMI.

Initial Safety of Total Talus Replacement Used to Treat Talar Avascular Necrosis.

Total talus replacement (TTR) implants are designed to replace the diseased talar anatomy, reduce pain, maintain ankle range of motion, and restore ankle function after conservative treatments have failed. Currently TTR implants are produced by 3D printing a patient-specific implant designed from the patient's preoperative anatomy. TTR surgery using patient-specific implants is a relatively new technique that remains understudied in the literature. Therefore, the purpose of this investigation was to determine the early safety and potential benefit of the TTR implant in patients with talar avascular necrosis. This retrospective, multicenter, cohort study evaluates the safety and potential benefits of TTR using 3D-printed patient-specific implants across 4 US centers. The primary outcome was the occurrence of early adverse events after TTR surgery. Secondary outcomes including, pain, and physical function were assessed using the pain visual analog scale (VAS), and Patient-Reported Outcomes Measurement Information System (PROMIS) physical function (PF), respectively. The study team analyzed 15 patients with more than 1 year of follow-up. The mean duration of follow-up was 25.9 months (range: 18.3-41 months). Although 33.3% (5 of 15) of patients experienced adverse events, primarily occurring within the initial 6 months postoperatively, 93% (14 of 15) of patients reported implant survivorship. Of the 5 cases (33.3%) resulting in an adverse event, 3 (60.0%) were determined to be unrelated to the subject device, 2 (40.0%) were determined to be possibly procedure-related, and none (0%) were determined to be device-related. Although further studies are needed to compare TTR with the standard of care, the results of this study demonstrate the relative early safety of TTR surgery using a 3D-printed implant for the treatment of challenging talar pathologies. A larger and longer clinical study is required to see if the efficacy of this approach will be statistically and clinically meaningful.

The Contribution of Neutrophil Extracellular Traps to Coagulopathy in Patients with COVID-19-Related Thrombosis

COVID-19 is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and is associated with hypercoagulability and increased incidence of thrombotic events. In this study, we investigated the levels of neutrophil extracellular trap biomarkers and von Willebrand factor to assess if these could predict the occurrence of a thrombotic event in COVID-19 patients. We enrolled 202 patients hospitalized with symptomatic COVID-19 infection. Of those, 104 patients did not experience any type of thrombotic events before or during their hospitalization. These patients were compared to the other cohort of 98, who experienced thrombotic events before or during their hospitalization. In total, 61 patients who experienced thrombotic events had the event after initial blood collection, so the predictive capacity of biomarkers in these patients was evaluated. Citrullinated histone H3 was the best predictive biomarker for thrombotic events in COVID-19 regardless of age, sex, and race; disease severity was also a significant predictor in most thrombotic event groups. These results may better inform treatment and prophylaxis of thrombotic events in COVID-19 and similar viral illnesses in the future to improve outcomes and reduce mortality.

Integrated Anomaly Detection and Early Warning System for Forest Fires in the Odisha Region

The present study aims to develop a random forest algorithm-based classifier to predict the occurrence of fire events using observed meteorological parameters a day in advance. We considered the skin temperature, the air temperature close to the surface, the humidity close to the surface level, and soil moisture as important meteorological factors influencing forest fire occurrence. Twenty additional parameters were derived based on these four parameters that account for the energy exchanged in sensible and latent forms and the change in parameters in recent trends. We used the mutual information approach to identify critical meteorological parameters that carry significant information about fire occurrence the next day. The top nine parameters were then fed as input to the random forest algorithm to predict fire/no fire the next day. The weighted data sampling and SMOTE techniques were employed to address the class imbalance in the fire data class. Both techniques correctly classified fire incidents well, given the meteorological input from the previous days. This study also showed that as the class imbalance increases to 1:9, the performance based on the precision, recall, F1 score, and accuracy are maximum, showing the model’s ability to perform with class imbalance. Both techniques helped the random forest algorithm forecast fire instances as the data sample size increased.

Intraoperative Anesthesia-Related Critical Events in Low-Resource Hospitals During Short-Term Surgical Missions in Tanzania and Democratic Republic of the Congo: An Observational Study.

Critical incidents and mortality related to anesthesia are more frequently observed in low- and middle-income countries in comparison to high-income countries. The difficulties linked to anesthesia in rural areas of the Democratic Republic of the Congo (DRC) and Tanzania have limited documentation. The aim of this study was to comprehensively document anesthesia-related critical events that occurred during surgical missions organized by the nongovernmental organization 2nd Chance in hospitals in DRC and Tanzania. Data were collected during 6 surgical missions in 3 hospitals in the DRC and 1 in Tanzania. All scheduled surgery patients were included. Anesthesia was administered by a local Non-Physician Anesthesia Provider (NPAP), using local resources, under the supervision of an anesthesiologist from the association. The anesthesiologist reported critical events and collected data. Local teams managed critical events initially, with intervention by the anesthesiologist from 2nd Chance on the local team's request, according to preestablished protocol or if the situation was considered dangerous. Critical incidents associated with anesthesia, including bradycardia, hypoxemia, airway management failure, and equipment problems, were documented from induction of anesthesia until discharge from the recovery room. We recruited 201 patients, of whom 192 were evaluated, with 9 patients dropping out due to protocol noncompliance. All patients were American Society of Anesthesiologists (ASA) I (62%; n = 120) or ASA II (38%; n = 72). Among them, 104 individuals (54%) experienced at least 1 critical event, totaling 202 critical events. Hypoxemia emerged as the most common event, affecting 29% of the patients (n = 55) with at least 1 episode. Equipment problems (oxygen supply and/or anesthesia machine failure) occurred in 24% of cases (n = 46), airway management issues in 23% (n = 44), and bradycardia in 6% (n = 12). Hypotension and hypertension were not documented due to the lack of monitoring. The majority of these events (over 60%) required intervention by the anesthesiologist. The occurrence of critical events related to anesthesia appears to be high in this study. Due to numerous limitations, these results cannot be generalized to all hospitals in Tanzania and the DRC. However, this study underscores the challenges faced by anesthesia teams, encompassing inadequate resources, equipment deficiencies, and varying levels of expertise among anesthesia personnel. The research further stresses the significance of addressing these challenges to enhance patient safety.

Evaluating the Economic Impact of the PedAMINES App in Reducing Medication Errors in Pediatric Emergency Care: Cost-Effectiveness Analysis.

The administration of drugs in pediatric emergency care is a time-consuming process and is associated with a higher occurrence of medication errors compared with adult care. This is attributed to the intricacies of administration, which involve calculating doses based on the child's weight or age. To mitigate the occurrence of adverse drug events (ADEs), the PedAMINES (Pediatric Accurate Medication in Emergency Situations; Geneva University Hospitals) mobile app has been developed. This app offers a step-by-step guide for preparing and administering pediatric drugs during emergency interventions by automating the dose calculation process. Although previous simulation-based randomized controlled trials conducted in emergency care have demonstrated the efficacy of the PedAMINES app in reducing drug administration errors, there is a lack of evidence regarding its economic implications. This study aims to evaluate the cost-effectiveness of implementing the PedAMINES app for 4 emergency drugs: epinephrine, norepinephrine, dopamine, and midazolam. The economic evaluation was conducted by combining hospital data from 2019, previous trial outcomes, information extracted from existing literature, and PedAMINES maintenance costs. The cost per avoided medication error was calculated, along with the number of administrations needed to achieve a positive return on investment. Subsequently, Monte Carlo simulations were used to identify the key parameters contributing to result uncertainty. The study revealed the number of preventable errors per administration for the 4 examined drugs: 0.513 for epinephrine, 0.484 for norepinephrine, 0.500 for dopamine, and 0.671 for midazolam. The cost-effectiveness ratios per ADE prevented were computed as follows: US $4808 for epinephrine, US $9705 for norepinephrine, US $6957 for dopamine, and US $2074 for midazolam. Accounting for the economic impact of ADEs, the analysis estimated that 16 administrations of epinephrine, 17 of norepinephrine and dopamine, and 13 of midazolam would be required to attain a positive return on investment. This corresponds to roughly one-third of the annual administrations at a major university hospital in Switzerland. The primary factors influencing the uncertainty in the estimated cost per ADE include the cost of maintenance of the app, the likelihood of an ADE resulting from an administration error, and the frequency of underdosing in the trial's control group. A dedicated mobile app presents an economically viable solution to alleviate the health and economic burden of drug administration errors in in-hospital pediatric emergency care. The widespread adoption of this app is advocated to pool costs and extend the benefits on a national scale in Switzerland.

Informal settlements ablaze: decoding the combustible nature of building materials used in Bangladesh through experiments and numerical analysis

ABSTRACT Fire outbreaks in informal settlements pose severe threats to residents and their properties. Despite the frequent occurrence of fire events in Bangladesh, detailed studies on fire propagation behaviour remain limited. This study addresses this critical issue by comprehensive investigations into the ignitability and burning behaviour of different materials such as cardboard, polyurethane foam, plastic bags, wood, and structural timber that are commonly found in informal settlements. Additionally, an advanced numerical model based on the finite volume method was developed in Fire Dynamics Simulator and then employed to accurately predict the fire-reaction properties of materials under the cone calorimeter environment. The results revealed that cardboard ignites quickly, burns moderately, and does not produce flaming droplets or ignite the filter paper. PU foam burns vigorously, with a high burning rate, and emits dense black smoke and a toxic odour. Plastic bags ignite rapidly, burn intensely, and are greatly influenced by the presence of airflow. The numerical model successfully quantified fire-reaction properties such as ignition time, heat release rate (HRR), and flame spread characteristics. Notably, wood and structural timber demonstrate a distinct combustion pattern with a sharp HRR peak, while PU foam exhibits the highest peak HRR values followed by timber masonite.

A comparative investigation of monsoon active and break events over the western North Pacific

Abstract This study identifies 86 active events and 66 break events of the western North Pacific summer monsoon (WNPSM) from 1979 to 2020. These active and break events exhibit sharp contrast in large-scale convection and circulation fields. During the active period, deep convection almost covers the entire WNP domain (0°–25°N, 120°–170°E), accompanied by the strengthening of a local monsoon trough and monsoon westerlies extending from the Arabian Sea to the WNP. In contrast, during the break period, along with weakened monsoon westerlies, the subtropical high replaces the monsoon trough to dominate the WNP domain, leading to disappearance of deep convection. Results about the convection evolution at multiple timescales indicate that active/break events are primarily contributed to by the wet/dry phases of intraseasonal oscillations (ISOs). The phase transitions of ISOs are nearly symmetric between active and break events. However, these two types of events present notable asymmetric features in convection anomalies relative to climatology, which can be attributable to the modulation of the seasonal mean component. Specifically, both active and break events correspond to anomalously strong seasonal mean convection, which amplifies (weakens) the convection enhancement (suppression) during the active (break) period and results in normal (enhanced) convection during adjacent periods. The preferred occurrence of active and break events in strong summer monsoons is because related mean backgrounds, including increased low-level positive vorticity, specific humidity, and easterly vertical shear, facilitate the intensification of ISOs. These mean backgrounds are likely induced by SST cooling in the north Indian Ocean and warming in the equatorial central Pacific during the simultaneous summer.

ECLIPSES: Early initiation of sodium glucose cotransporter-2 inhibitors for cardiovascular protection in patients with type 2 diabetes following acute coronary syndrome and subsequent coronary artery bypass graft surgery.

There is a paucity of data evaluating early initiation of sodium-glucose cotransporter-2 inhibitors (SGLT2i) in patients with diabetes following acute coronary syndrome (ACS) and coronary artery bypass graft surgery (CABG). To describe the efficacy and safety of SGLT2i initiated early after CABG in patients with type 2 diabetes who experienced ACS. This is a retrospective cohort study of patients with type 2 diabetes (T2DM) who experienced ACS and subsequent CABGwith follow up at 3 and 12 months. Patients who filled a SGLT2i prescription within 14 days of discharge were allocated to the SGLT2i group and those who did not were included in the no SGLT2i group. The primary efficacy end point was first occurrence of a 4-point Major Adverse Cardiovascular Event (MACE), and the primary safety end point was a composite of hypoglycemia, hypotension, diabetic ketoacidosis, acute kidney injury, and urinary tract infection. Secondary end points included a comparative analysis of the primary outcome, 30-day readmission rates, and subgroup analyses of key populations. A total of 1629 patients were included: 226 received a SGLT2i within 14 days of discharge and 1403 did not. At 12 months, 8.9% and 15.3% of patients experienced MACE in the SGLT2i and no SGLT2i groups, respectively (adjusted Hazard Ratio [aHR] 0.65, 95% confidence interval [CI] 0.41-1.04). The primary safety outcome occurred in 12.0% of the SGLT2i group and 19.1% of the no SGLT2i group at 12 months (aHR 0.68, 95% CI 0.45-1.01). Early initiation of SGLT2i use was not associated with a reduction in MACE in patients with T2DM who experienced ACS and underwent subsequent CABG surgery. However, no apparent safety concerns were identified. Adequately powered trials are required to confirm this finding.

TIBA: A web application for the visual analysis of temporal occurrences, interactions, and transitions of animal behavior.

Data in behavioral research is often quantified with event-logging software, generating large data sets containing detailed information about subjects, recipients, and the duration of behaviors. Exploring and analyzing such large data sets can be challenging without tools to visualize behavioral interactions between individuals or transitions between behavioral states, yet software that can adequately visualize complex behavioral data sets is rare. TIBA (The Interactive Behavior Analyzer) is a web application for behavioral data visualization, which provides a series of interactive visualizations, including the temporal occurrences of behavioral events, the number and direction of interactions between individuals, the behavioral transitions and their respective transitional frequencies, as well as the visual and algorithmic comparison of the latter across data sets. It can therefore be applied to visualize behavior across individuals, species, or contexts. Several filtering options (selection of behaviors and individuals) together with options to set node and edge properties (in the network drawings) allow for interactive customization of the output drawings, which can also be downloaded afterwards. TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. The web application and usage instructions are available at tiba.inf.uni-konstanz.de. The source code is publicly available on GitHub: github.com/LSI-UniKonstanz/tiba.

Assessing causality in deprescribing studies: A focus on adverse drug events and adverse drug withdrawal events.

Generating real-world evidence about the effect of medication discontinuation or dose reduction on outcomes, such as reduction of adverse drug effects (ADE; intended benefit) and occurrence of adverse drug withdrawal events (ADWE; unintended harm), is crucial to informing deprescribing decisions. Determining the causal effects of deprescribing is difficult for many reasons, including lack of randomization in real-world study designs and other design and measurement issues that pose threats to internal validity. The inherent challenge is how to identify the effects, both intended benefits and unintended harms, of a new medication stoppage or reduction when implemented in patients with many potential clinical and social risks that may influence the likelihood of deprescribing as well as outcomes. We discuss methodological issues of estimating the effect of medication discontinuation or reduction on risk of ADEs and ADWEs considering: (1) sampling study populations of sufficient size with the potential to demonstrate clinically meaningful and quantifiable outcomes, (2) accurate and appropriately timed measurement of covariates, outcomes, and discontinuation, and (3) statistical approaches to managing confounding and other biases inherent in long-term medication use by individuals with multiple morbidities. Designing rigorous deprescribing studies that address internal validity threats will support evidence generation by improving the ability to assess benefits and harms when the exposure of interest is the absence of a medication. Iterative learnings about data quality, variable definition, variable measurement, and exposure-outcome associations will inform strategies to improve the causal inferences possible in real-world deprescribing studies.

Geology, Archaeology, and Historical Studies of the Late 16th Century Plinian Eruption of Raung Volcano: A Potential Case for Disaster Geotourism in Ijen UNESCO Global Geopark, East Java, Indonesia

The enigmatic major eruption in the late 16th century, believed to have originated from Raung, the most active stratovolcano in the Ijen UNESCO Global Geopark in East Java, Indonesia, has ignited significant debate among researchers and historians due to its profound impact on the region. This research aims to substantiate Raung as the likely source of the major eruption by integrating geological, archaeological, and historical data. This study synthesizes current findings and explores ongoing debates surrounding historical volcanic activities. Eruption parameters suggest that the late 16th century eruption exhibited a Plinian type, characterized by an explosive eruption column reaching the stratosphere, widespread pumiceous tephra fallout, and pyroclastic density current (PDC). Stratigraphic succession reveals that the eruption occurred in five phases, with deposits from 10 eruptive units. These deposits are mainly concentrated on the northwestern flank of Raung. Archaeological findings, historical records, and local legends converge to pinpoint the occurrence of this catastrophic event in the late 16th century. These diverse sources estimate that the eruption resulted in approximately 10,000 casualties, marking it as one of the most significant volcanic disasters in the past 500 years. The implications of this eruption extend beyond historical documentation, providing a critical case study for advancing disaster mitigation strategies through geotourism in the geopark area. Moreover, the eruption record outcrops identified in this study can be proposed as potential new geosites within the Ijen UNESCO Global Geopark, enhancing its educational and touristic value. We propose the Jebung Kidul, Alas Sumur, and Batu Sappar sites as potential disaster-based geosites, considering that these sites record the eruption process and preserve archaeological structures. This addition would not only commemorate the historical event but also promote awareness and preparedness for future volcanic activities in the region.

Prognosis of different hemodynamic classifications in patients with pulmonary hypertension due to left heart disease

Objective: To compare the prognostic values of different classification by using transpulmonary pressure gradient (TPG), diastolic pressure gradient (DPG) and pulmonary vascular resistance (PVR) in patients with pulmonary hypertension due to left heart disease (PH-LHD), and investigated hemodynamic and clinical factors associated with mortality in patients with PH-LHD. Methods: This was a single-center prospective cohort study. In-hospital patients diagnosed with PH-LHD via right heart catheterization at the Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University, from September 2013 to December 2019 were enrolled. Patients were divided according to TPG (cutoff value 12 mmHg; 1 mmHg=0.133 kPa), DPG (cutoff value 7 mmHg), PVR (cutoff value 3 Wood Units), and the combination of TPG and PVR. Baseline characteristic was recorded. All patients were followed up until the occurrence of endpoint event, defined as all-cause death that occurred during the follow-up period, or until April 18, 2022. Receiver operating characteristic curves were used to compare the predictive value of 3 classification methods for all-cause death in PH-LHD patients. The optimal cutoff values were calculated using Jorden index. Survival analysis was performed using Kaplan-Meier analysis, and log-rank test was used to compare the predictive efficacy of classification methods based on optimal cutoff values or guidance-recommended thresholds for the survival of PH-LHD patients. Variables showing statistical significance in the univariate analysis were incorporated into multivariate Cox regression model to analyze the independent risk factors for all-cause mortality. Results: A total of 243 patients were enrolled, aged (54.9±12.7) years old, including 169 (69.5%) males. During a median follow-up of 57 months, there were 101 (41.6%) deaths occurred. Grouping results were as follows: (1) TPG: TPG≤12 mmHg group 115 patients, TPG>12 mmHg group 128 patients; (2) DPG: DPG<7 mmHg group 193 patients, DPG≥7 mmHg group 50 patients; (3) PVR: PVR≤3 Wood Units group 108 patients, PVR>3 Wood Units group 135 patients; (4) TPG and PVR: TPG≤12 mmHg and PVR≤3 Wood Units group 89 patients, TPG>12 mmHg and PVR>3 Wood Units group 109 patients. PVR (AUC=0. 698,95%CI:0.631-0.766) had better predictive value for all-cause mortality than TPG (AUC=0.596, 95%CI: 0.523-0.669) and DPG (AUC=0.526, 95%CI: 0.452-0.601) (all P<0.05). The optimal cutoff values for TPG, DPG, and PVR were13.9 mmHg, 2.8 mmHg, and 3.8 Wood Units, respectively. Kaplan-Meier analysis based on the optimal cutoff values or guidance-recommended thresholds showed that PVR and TPG were the predictors of survival (P<0.05), while DPG did not showed significance (P>0.05). Multivariate Cox regression analysis showed that age, PVR and log2N-terminal pro-B-type natriuretic peptide were independent risk factors for all-cause mortality in PH-LHD patients (all P<0.05). Conclusion: Classification according to PVR was most valuable in predicting all-cause death in PH-LHD patients, while TPG showed moderate predictive ability and DPG had no predictive value.

Real-World Safety of Prostate Cancer Focal Therapy: MAUDE Database Analysis.

Objective: The aim of this study was to assess the real-world safety profile of medical devices used in focal prostate cancer treatment utilizing the Manufacturer and User Facility Device Experience (MAUDE) database. Methods: The MAUDE database was searched for reports on high-intensity focused ultrasound (HIFU), cryoablation, laser ablation, and irreversible electroporation (IRE) devices used in prostate cancer treatment from 1993 to 2023. Adverse events were identified and categorized. Results: We identified 175 reports for HIFU, 1362 for cryoablation, 615 for laser ablation, and 135 for IRE devices, with 28, 284, 126, and 2 respective reports, directly related to prostate cancer treatment. The aggregated data revealed the majority of complications were minor, with 82.5% (n = 363 out of 440 total complications) classified as Clavien-Dindo grade 1 or 2. Common minor complications included erectile dysfunction and urinary retention. Severe complications such as rectal fistulas were noted in HIFU and IRE treatments, along with singular mortality due to pulmonary embolism in cryoablation. Conclusions: Our analyses from MAUDE reveal that devices used in focal therapy for prostate cancer are predominantly associated with minor complications, underscoring their overall real-world safety profile. However, the occurrence of severe adverse events emphasizes the critical importance of rigorous patient selection and meticulous procedural planning. These findings provide valuable insights into the safety profile of focal therapy devices and contribute to the growing body of evidence on their use in prostate cancer treatment.

Predicting long-term risk of sudden cardiac death with automatic computer-interpretations of electrocardiogram.

Computer-interpreted electrocardiogram (CIE) data is provided by almost all commercial software used to capture and store digital electrocardiograms. CIE is widely available, inexpensive, and accurate. We tested the potential of CIE in long-term sudden cardiac death (SCD) risk prediction. This is a retrospective of 8,568 consecutive patients treated for acute coronary syndrome. The primary endpoint was five-year occurrence of SCDs or equivalent events (SCDs aborted by successful resuscitation or adequate ICD therapy). CIE statements were extracted from summary statements and measurements made by the GE Muse 12SL algorithm from ECGs taken during admission. Three supervised machine learning algorithms (logistic regression, extreme gradient boosting, and random forest) were then used for analysis to find risk features using a random 70/30% split for discovery and validation cohorts. Five-year SCD occurrence rate was 3.3% (n = 287). Regardless of the used ML algorithm, the most significant risk ECG risk features detected by the CIE included known risk features such as QRS duration and factors associated with QRS duration, heart rate-corrected QT time (QTc), and the presence of premature ventricular contractions (PVCs). Risk score formed by using most significant CIE features associated with the risk of SCD despite adjusting for any clinical risk factor (including left ventricular ejection fraction). Sensitivity of CIE data to correctly identify patients with high risk of SCD (over 10% 5-year risk of SCD) was usually low, but specificity and negative prediction value reached up to 96.9% and 97.3% when selecting only the most significant features identified by logistic regression modeling (p-value threshold <0.01 for accepting features in the model). Overall, CIE data showed a modest overall performance for identifying high risk individuals with area under the receiver operating characteristic curve values ranging between 0.652 and 0.693 (highest for extreme gradient boosting and lowest for logistic regression). This proof-of-concept study shows that automatic interpretation of ECG identifies previously validated risk features for SCD.

Tropical intraseasonal oscillations as key driver and source of predictability for the 2022 Pakistan record-breaking rainfall event

In August 2022, Pakistan experienced unprecedented monsoon rains, leading to devastating floods and landslides affecting millions. While previous research has mainly focused on the contributions of seasonal and synoptic anomalies, this study elucidates the dominant influences of tropical and extratropical intraseasonal oscillations on both the occurrence and subseasonal prediction of this extreme rainfall event. Our scale-decomposed moisture budget analysis revealed that intense rainfall in Pakistan was triggered and sustained by enhanced vertical moisture transport anomalies, primarily driven by interactions between intraseasonal circulation anomalies and the prevailing background moisture field when tropical and mid-latitude systems coincided over Pakistan. Evaluation of subseasonal-to-seasonal prediction models further highlighted the critical role of tropical intraseasonal modes in causing this extreme rainfall event in Pakistan. Models that accurately predicted northward-propagating intraseasonal convection with a forecast lead time of 8–22 days demonstrated good skill in predicting the extreme event over Pakistan.