Impact of frailty in hospitalized patients undergoing catheter ablation for atrial fibrillation.

BACKGROUND: Catheter Ablation (CA) is an effective treatment for atrial fibrillation (AF). However, frail elderly patients have been understudied due to their exclusion from landmark trials. OBJECTIVES: Our study aims to evaluate outcomes in this population. METHODS: The national readmission database (2016-2020) was queried, and frailty categories were defined based on hospital risk frailty scores ≦5 as low while >5 as intermediate/high frailty (IHF). We used multivariate regression and propensity-matched analysis to compare outcomes in patients undergoing CA for atrial fibrillation based on frailty index. RESULTS: Among 55 936 CAs for AF, 33,248 patients had low frailty, while 22 688 had intermediate/high frailty (IHF). After propensity matching (N 12 448), IHF patients were found to have higher adverse events, including mortality (3% vs. 0.3%, p < .001), stroke (1.9% vs. 0.2%, p < .001), acute heart failure (53.8% vs. 42.2%, p < .001), AKI (42.5% vs. 6.8%, p < .001), pericardial complications (2.8 vs. 1.6%, p < .001), respiratory complications (27.8 vs. 7.2%, p < .001), major adverse cardiovascular events (21.2 vs. 9.4%, p < .001) and net adverse events (76.7 vs. 55%, p < .001). IHF patients had higher readmissions at 30 (15.5 vs. 12.6%, p < .001), 90 (31.9 vs. 25.1%, p < .001), and 180-day (41 vs. 34.7%, p < .001) intervals. A higher median length of stay (LOS) (7 vs. 3 days, p < .001) and cost ($44 287 vs. $27 517, p < .001) at index admission and subsequent readmissions were also observed (p < .001). CONCLUSION: Intermediate/high frailty patients undergoing catheter ablation had worse clinical outcomes, higher healthcare burden, and readmission rates. LOS has decreased in both groups from 2016 to 2020; however, total cost has increased.

A fusion approach using GIS, green area detection, weather API and GPT for satellite image based fertile land discovery and crop suitability.

Proper utilization of agricultural land is a big challenge as they often laid over as waste lands. Farming is a significant occupation in any country and improving it further by promoting more farming opportunities will take the country towards making a huge leap forward. The issue in achieving this would be the lack of knowledge of cultivable land for food crops. The objective of this work is to utilize modern computer vision technology to identify and map cultivable land for agricultural needs. With increasing population and demand for food, improving the farming sector is crucial. However, the challenge lies in the lack of suitable land for food crops cultivation. To tackle this issue, we propose to use sophisticated image processing techniques on satellite images of the land to determine the regions that are capable of growing food crops. The solution architecture includes enhancement of satellite imagery using sophisticated pan sharpening techniques, notably the Brovey transformation, aiming to transform dull satellite images into sharper versions, thereby improving the overall quality and interpretability of the visual data. Making use of the weather data on the location observed and taking into factors like the soil moisture, weather, humidity, wind, sunlight times and so on, this data is fed into a generative pre-trained transformer model which makes use of it and gives a set of crops that are suitable to be grown on this piece of land under the said conditions. The results obtained by the proposed fusion approach is compared with the dataset provided by the government for different states in India and the performance was measured. We achieved an accuracy of 80% considering the crop suggested by our model and the predominant crop of the region. Also, the classification report detailing the performance of the proposed model is presented.

Cardiovascular Challenges Beyond Earth: Investigating the Impact of Space Travel on Astronauts' Cardiovascular Health.

In the coming decades, as humanity aims to establish a presence on Mars, there is a growing significance in comprehending, monitoring, and controlling the diverse health challenges arising from space exploration. The extended exposure to microgravity during space missions leads to various physical alterations in astronauts, such as shifts in bodily fluids, reduced plasma volume, loss of bone density, muscle wasting, and cardiovascular deconditioning. These changes can ultimately lead to orthostatic intolerance, underscoring the increasing importance of addressing these health risks. Astronauts are exposed to cosmic radiation consisting of high-energy particles from various sources, including solar cosmic rays and galactic cosmic rays. These radiations can impact the electrical signals in the heart, potentially causing irregular heart rhythms. Understanding the risks to the heart and blood circulation brought on by exposure to space radiation and the overall stress of spaceflight is essential and this article reviews the cardiovascular effects of space travel on astronauts.

Procedural and cardiovascular outcomes of geriatric vs non-geriatric patients undergoing permanent pacemaker implantation - a nationwide cohort analysis.

BACKGROUND: Permanent pacemaker implantation is increasing exponentially to treat atrio-ventricular block and symptomatic bradyarrhythmia. Despite being a minor surgery, immediate complications such as pocket infection, pocket hematoma, pneumothorax, hemopericardium, and lead displacement do occur. METHODS: The Nationwide Inpatient Sample was queried from 2016 to 2018 to identify patients with pacemakers using ICD-10 procedure code. The Chi-square test was used for statistical analysis. RESULTS: The sample size consisted of 443,460 patients with a pacemaker, 26% were <70 years (male 57%, mean age of (60.6±9.7) yr, Caucasian 70%) and 74% were ≥70 years (male 50%, mean age of (81.4±5.9) yr, Caucasian 79%). Upon comparison of rates in the young vs elderly: mortality (1.6% vs 1.5%; P<0.01), obesity (26% vs 13%; P<0.001), coronary artery disease (40% vs 49%; P<0.001), HTN (74% vs 87%; P<0.01), anemia (4% vs 5%; P<0.01), atrial fibrillation (34% vs 49%; P<0.01), peripheral artery disease (1.7% vs 3%; P<0.01), CHF (31% vs 39%; P<0.001), diabetes (31% vs 27.4%; P<0.01), vascular complications (1.1% vs 1.2%; P<0.01), pocket hematoma (0.5% vs 0.8%; P<0.01), AKI (16% vs 21%; P<0.01), hemopericardium (0.1% vs 0.1%; P = 0.1), hemothorax (0.3% vs 0.2%; P<0.01), cardiac tamponade (0.4% vs 0.5%; P<0.01), pericardiocentesis (0.4% vs 0.4%; P<0.01), cardiogenic shock (4% vs 2.3%; P<0.01), respiratory complications (1.9% vs 0.9%; P<0.01), mechanical ventilation (5.1% vs 2.9%; P<0.01); post-op bleed (0.5% vs 0.3%; P<0.01), need for transfusion (4.8% vs 3.8%; P<0.01), severe sepsis (0.6% vs 0.5%; P<0.01 ), septic shock (2% vs 1%; P<0.01), bacteraemia (0.8% vs 0.4%; P<0.01), lead dislodgement (1.4% vs 1.1%; P<0.01). CONCLUSIONS: Our study revealed that the overall complication rates were lower in the elderly despite higher co-morbidities. This aligns with previous studies which showed lower rates in the elderly. Hence providers should not hesitate to provide guideline driven pacemaker placement in the elderly especially in patients with good life expectancy.

Trends in Premature Mortality from Acute Myocardial Infarction in American Indians/Alaska Natives in the United States from 1999 to 2020.

Cardiovascular disease is the leading cause of mortality in American Indian and Alaska Native (AI/AN) groups. They are disproportionately found to have a higher rate of premature myocardial infarction (MI). The Centers for Disease Control and Prevention's Wide-ranging Online Data for Epidemiologic Research were queried to identify premature MI deaths (female <65 years and male <55 years) occurring within the United States between 1999 and 2020. We investigated proportionate mortality trends related to premature MI in AI/ANs stratified by gender. Deaths attributed to acute MI (AMI) were identified using the International Classification of Diseases, Tenth Revision, Clinical Modification codes I21 to I22. We compared the proportional mortality rate because of premature MI with that of a non-AI/AN racial group, which comprised all other races (Blacks, Whites, and Asian/Pacific Islander populations). In AI/ANs, we analyzed a total of 14,055 AMI deaths, of which 3,211 were premature MI deaths corresponding to a proportionate mortality rate of 22.8% (male 20.8%, female 26.2%). The non-AI/AN population had a lower proportionate mortality of 14.8% (male 13.7%, female 16%), p <0.01). On trend analysis, there was no significant improvement over time in the proportionate mortality of AI/ANs (19.8% in 1999 to 21.7% in 2020, p = 0.09). Upon comparison of gender, proportionate mortality of premature MI in women showed a statistically nonsignificant increase from 21.6% in 1999 to 27.3% in 2020 [average annual percent change of 0.7, p = 0.06)]. However, men had a statistically significant decrease in proportionate mortality of premature MI from 18.5% in 1999 to 18.2% in 2020 [average annual percent change of -0.8, p = 0.01)]. AI/ANs have an alarmingly higher rate of proportionate mortality of premature MI than that of other races, with no improvement in the proportionate mortality rates over 20 years, despite an overall downtrend in AMI mortality. Further research to address the reasons for the lack of improvement in premature MI is needed to improve outcomes in this patient population.

Impact of Social Vulnerability on Cardiac Arrest Mortality in the United States, 2016 to 2020.

BACKGROUND: Cardiac arrest is 1 of the leading causes of morbidity and mortality, with an estimated 340 000 out-of-hospital and 292 000 in-hospital cardiac arrest events per year in the United States. Survival rates are lower in certain racial and socioeconomic groups. METHODS AND RESULTS: We performed a county-level cross-sectional longitudinal study using the Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research multiple causes of death data set between 2016 and 2020 among individuals of all ages whose death was attributed to cardiac arrest. The Social Vulnerability Index is a composite measure that includes socioeconomic vulnerability, household composition, disability, individuals from racial and ethnic minority groups status and language, and housing and transportation domains. We examined the impact of social determinants on cardiac arrest mortality stratified by age, race, ethnicity, and sex in the United States. All age-adjusted mortality rate (cardiac arrest AAMRs) are reported as per 100 000. Overall cardiac arrest AAMR during the study period was 95.6. The cardiac arrest AAMR was higher for men compared with women (119.6 versus 89.9) and for the Black population compared with the White population (150.4 versus 92.3). The cardiac arrest AAMR increased from 64.8 in counties in quintile 1 of Social Vulnerability Index to 141 in quintile 5, with an average increase of 13% (95% CI, 9.8%-16.9%) in AAMR per quintile increase. CONCLUSIONS: Mortality from cardiac arrest varies widely, with a >2-fold difference between the counties with the highest and lowest social vulnerability, highlighting the differential burden of cardiac arrest deaths throughout the United States based on social determinants of health.

Takotsubo cardiomyopathy and psychiatric illness- insight from National Inpatient Sample (NIS) and National Re-admission Database (NRD) 2016 to 2018.

BACKGROUND: Emotional stress is a common precipitating cause of takotsubo cardiomyopathy (TC). Preexisting psychiatric disorder (PD) was linked to worsening outcomes in patients with TC1,2. However, there is limited data in literature to support this. This study aimed to determine the differences in outcomes in TC patients with and without PD. METHODS: We identified all patients with a diagnosis of TC using the National Inpatient Sample (NIS) and the National Readmission Database (NRD) data from 2016 to 2018. The patients were separated into TC with PD group and TC without PD group. Multiple variable logistic regression was then performed. RESULTS: Using NIS 2016-2018, we identified 23,220 patients with TC, and 43.11% had PD. The mean age was 66.73 ± 12.74 years, with 90.42% being female sex. The TC with PD group had a higher 30-readmission rate 1.25 (95% CI:1.06-1.47), Cardiogenic shock [aOR = 7.3 (95%CI 3.97-13.6), Mechanical ventilation [aOR = 4.2 (95%CI 2.4-7.5), Cardiac arrest [aOR = 2.6 (95%CI 1.1-6.3), than TC without PD group. CONCLUSION: Psychiatric disorders were found in up to 43% of patients with TC. The concomitant PD in TC patients was not associated with increased mortality, AKI, but had higher rates of cardiogenic shock, use of mechanical ventilation and cardiac arrest. The TC group with PD was also associated with increased 30-day readmission, LOS and total charges compared to TC patients without PD.

Sex and Racial Disparities in Proportionate Mortality of Premature Myocardial Infarction in the United States: 1999 to 2020.

BACKGROUND: The incidence of premature myocardial infarction (PMI) in women (<65 years and men <55 years) is increasing. We investigated proportionate mortality trends in PMI stratified by sex, race, and ethnicity. METHODS AND RESULTS: CDC WONDER (Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research) was queried to identify PMI deaths within the United States between 1999 and 2020, and trends in proportionate mortality of PMI were calculated using the Joinpoint regression analysis. We identified 3 017 826 acute myocardial infarction deaths, with 373 317 PMI deaths corresponding to proportionate mortality of 12.5% (men 12%, women 14%). On trend analysis, proportionate mortality of PMI increased from 10.5% in 1999 to 13.2% in 2020 (average annual percent change of 1.0 [0.8-1.2, P <0.01]) with a significant increase in women from 10% in 1999 to 17% in 2020 (average annual percent change of 2.4 [1.8-3.0, P <0.01]) and no significant change in men, 11% in 1999 to 10% in 2020 (average annual percent change of -0.2 [-0.7 to 0.3, P=0.4]). There was a significant increase in proportionate mortality in both Black and White populations, with no difference among American Indian/Alaska Native, Asian/Pacific Islander, or Hispanic people. American Indian/Alaska Natives had the highest PMI mortality with no significant change over time. CONCLUSIONS: Over the last 2 decades, there has been a significant increase in the proportionate mortality of PMI in women and the Black population, with persistently high PMI in American Indian/Alaska Natives, despite an overall downtrend in acute myocardial infarction-related mortality. Further research to determine the underlying cause of these differences in PMI mortality is required to improve the outcomes after acute myocardial infarction in these populations.

Temporal Trends in Race and Sex Differences in Cardiac Arrest Mortality in the USA, 1999-2020.

BACKGROUND: Cardiac arrest (CA) affects over 600,000 patients in the USA annually. Despite large-scale public health and educational initiatives, survival rates are lower in certain racial and socioeconomic groups. METHODS: A county-level cross-sectional longitudinal study using death data of patients aged 15 years or more from the US Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research (WONDER) database from 1999 to 2020. CAs were identified using the International Classification of Diseases, tenth revision, clinical modification codes. RESULTS: The CA-related deaths between 1999 and 2020 were 7,710,211 in the entire USA. The annual CA related age-adjusted mortality rates (CA-MR) declined through 2019 (132.9 to 89.7 per 100,000 residents), followed by an increase in 2020 (104.5 per 100,000). White patients constituted 82 % of all deaths and 51 % were female. The overall CA-MR during the study period was 104.48 per 100,000 persons. The CA-MR was higher for men as compared with women (123.5 vs. 89.7 per 100,000) and higher for Black as compared with White adults (154.4 vs. 99.1 per 100,000). CONCLUSIONS: CA-MR in the overall population has declined, followed by an increase in 2020, which is likely the impact of the COVID-19 pandemic. There were also significant racial and sex differences in mortality rates.