Cardiovascular Disease Hospitalizations Research Articles

Cardiometabolic factors and population risks of cardiovascular disease in community-dwelling adults with varied blood pressure statuses.

To examine the differential associations between cardiometabolic risk factors and cardiovascular disease (CVD), and to evaluate the population-attributable fractions (PAFs) for CVD among community-dwelling adults with varied blood pressure (BP) statuses. This prospective cohort study included participants without prevalent CVD from a subcohort of the China Patient-Centred Evaluative Assessment of Cardiac Events Million Persons Project. Participants were divided into four BP groups according to the American College of Cardiology/American Heart Association guidelines. The study exposure comprised the selected cardiometabolic risk factors, including waist circumference (WC), body mass index, (BMI) heart rate, fasting blood glucose (FBG), low-density lipoprotein cholesterol, and remnant cholesterol. The outcome was hospitalizations for CVD. Cox proportional hazard models were conducted, and the PAFs were calculated in the analysis. Among the 94 183 participants (39.0% were men, mean age: 54.2 years), 26.6% had Stage 1 hypertension and 30.8% had Stage 2 hypertension. A total of 6065 hospitalizations for CVD were captured after a median follow-up of 3.5 years. BP (per 1-standard deviation [SD]: hazard ratio [HR] 1.34, 95% confidence interval [CI] 1.29, 1.40), FBG (per 1-SD: HR 1.16, 95% CI 1.14, 1.19) and WC (per 1-SD: HR 1.41, 95% CI 1.36, 1.47) were three major contributors to CVD events. BP status significantly modified the associations of abdominal obesity, suboptimal BMI, suboptimal heart rate and abnormal FBG with CVD, with stronger associations with CVD observed in optimal BP groups compared to hypertensive groups (p for risk factor-by-BP group interaction <0.05). Participants with all cardiometabolic risk factors were at the highest risk for CVD, accounting for 35.6% (95% CI 30.0, 40.8) of the PAF for CVD. Among the risk factors, BP control explained the highest PAF for CVD (15.1%, 95% CI 8.2, 21.4) The overall PAFs of cardiometabolic risk factors for CVD were higher among the normotensive participants compared to the hypertensive participants. The awareness and control rates of hypertension were extremely low among Southern Chinese adults. BP status significantly modified the associations between cardiometabolic risk factors and CVD, and the overall PAFs for CVD were higher among people with normal BP. Dedicated efforts are needed to improve the management of cardiometabolic factors.

Association Between Hemoglobin A1c and Development of Cardiovascular Disease in Canadian Men and WomenWithout Diabetes at Baseline: A Population-Based Study of 608 474 Adults.

We examined the association between hemoglobin A1c (HbA1c) and the development of cardiovascular disease (CVD) in men and women, without diabetes or CVD at baseline. This retrospective cohort study included adults aged 40 to <80 years in Alberta, Canada. Men and women were divided into categories based on a random HbA1c during a 3-year enrollment period. The primary outcome of CVD hospitalization and secondary outcome of combined CVD hospitalization/mortality were examined during a 5-year follow-up period until March 31, 2021. A total of 608 474 individuals (55.2% women) were included. Compared with HbA1c 5.0% to 5.4%, men with HbA1c of 5.5% to 5.9% had an increased risk of CVD hospitalization (adjusted hazard ratio [aHR], 1.12 [95% CI, 1.07-1.19]) whereas women did not (aHR, 1.01 [95% CI, 0.95-1.08]). Men and women with HbA1c of 6.0% to 6.4% had a 38% and 17% higher risk and men and women with HbA1c ≥6.5% had a 79% and 51% higher risk of CVD hospitalization, respectively. In addition, HbA1c of 6.0% to 6.4% and HbA1c ≥6.5% were associated with a higher risk (14% and 41%, respectively) of CVD hospitalization/death in men, but HbA1c ≥6.5% was associated with a 24% higher risk only among women. In both men and women, HbA1c ≥6.0% was associated with an increased risk of CVD and mortality outcomes. The association between CVD and HbA1c levels of 5.5% to 5.9%, considered to be in the "normal" range, highlights the importance of optimizing cardiovascular risk profiles at all levels of glycemia, especially in men.

The Impact of Metabolic Bariatric Surgery on Cardiovascular Diseases in Patients with Metabolic Dysfunction-Associated Steatotic Liver Disease.

There is a strong association between metabolic dysfunction-associated steatotic liver disease (MASLD) and obesity which are both important risk factors for cardiovascular diseases (CVDs). The current study aimed to assess the association of MBS with different CVDs in patients with MASLD. The National Inpatient Sample (NIS) database from 2016 to 2020 were analyzed by using ICD-10 codes. A propensity score matching in a 1:1 ratio was done to match the MBS and non-MBS groups. After weighted analysis, 1,124,155 and 68,215 patients were included in non-MBS and MBS groups, respectively. MBS was associated with significantly lower risk of hospitalization for coronary artery disease (OR 0.633 (0.569-0.703), p value < 0.001), acute myocardial infarction (OR 0.606 (0.523-0.701), p value < 0.001), percutaneous coronary intervention (OR 0.578 (0.489-0.682), p value < 0.001), and thrombolysis (OR 0.765 (0.589-0.993), p value = 0.044) compared to the non-MBS group in patients with MASLD. Furthermore, MBS was associated with 52% reduced risk of hospitalization for hemorrhagic stroke in patients with MASLD (OR 0.481, 95% CI 0.337-0.686, p value < 0.001). However, ischemic stroke was not significant between the two groups (OR 1.108 (0.905-1.356), p value = 0.322). In addition, MBS was associated with 63% and 60% reduced risk of hospitalization for heart failure with reduced ejection fraction (HFrEF) and heart failure with preserved ejection fraction (HFpEF) in patients with MASLD (OR 0.373, 95% CI 0.300-0.465 and OR 0.405, 95% CI 0.325-0.504, p value < 0.001 for both), respectively. The current study showed that MBS is significantly associated with a reduced risk of hospitalization for CVD in patients with MASLD.

Cardiovascular admission risk attributable to hot apparent temperature: a study in a rural area of northwest China

ABSTRACT Cardiovascular disease (CVD) is the leading cause of mortality worldwide, posing a significant threat to public health. Research on the relationship between CVD and temperature has primarily focused on developed urban settings, with limited studies conducted in rural regions with lower levels of development. Additionally, compared to relative risks, attributable risks can provide more information when assessing the risk of CVD hospitalizations associated with exposure to apparent temperature (AT). Apparent temperature is a composite temperature index that takes into account both meteorological factors and temperature, providing an objective reflection of human thermal sensation. Therefore, this study investigates the impact of AT on CVD hospitalization and quantifies the burden of CVD admission in the rural areas of China. We employed the distributed lag non-linear model (DLNM) to estimate the relationship between AT and the relative risk (RR) of CVD hospitalization. Finally, we used attributable risk methods to quantify this relationship further.

Rising Cardiovascular Mortality Despite Increased Resource Utilization: Insights From the Nationwide Inpatient Sample Database.

Introduction The global burden of cardiovascular disease (CVD) has risen over the past decade, potentially escalating resource utilization, morbidity, and mortality. We analyzed trends in hospitalization for CVDs, outcomes of hospitalizations, and the impact of the COVID-19 pandemic on CVDhospitalizations between 2016 and 2020. Methods Adult CVD hospitalizations recorded in the2016-2020 nationwide inpatient sample (NIS) were identified using major diagnostic categories (MDC- class 5). The NIS is the largest all-payer repository of all hospitalizations in the USA within a calendar year. We compared sociodemographic factors andoutcomes (mortality, length of stay, and hospital charges) of CVD hospitalization before and during the pandemic using Pearson's χ2 tests.We used Stata ranking commands and ICD-10 (10th revision of the International Statistical Classification of Diseases and Related Health Problems) codes to identify the most recurring diagnoses associated with CVD mortality during the study period.Trends in mortality and resource use were assessed using theJonckheere-Terpstra trend test. Hospital charges wereadjusted for inflationusing the Medical Expenditure Panel Survey index. We used stepwise multivariate logistic regression analyses(P ≤ 0.05 for entry; P > 0.10 for removal) to identify covariates associated with cardiovascular mortality during the study period. Results Hospitalizations for CVDs rose from 4,283,502 in 2016 to 4,635,246 in 2019 (Ptrend< 0.001) and declined to 3,865,399 in 2020. 452,930 mortalities were recorded during the study period. In-hospital mortality rose from 111,090 (2.6%) in 2016 to 118,825 (2.8%) in 2020 (Ptrend< 0.001). Compared with the prepandemic years, mortality rates were higher during the pandemic (108,231 [2.8%] vs. 445,373 [2.5%]; P<0.001), and increased in hospitalizations for hypertensive heart disease with chronic kidney disease (CKD) (15,585[14.4%] vs. 45,873 [10.3%]; P<0.001), hypertensive heart disease with heart failure (7,468 [6.9%] vs. 21,378 [4.8%]), ventricular tachycardia (2,056 [1.9%] vs. 7,571 [1.7%]; P=0.022), and peripheral angiopathy with gangrene (1,191 [1.1%] vs. 3,118 [0.7%]; P<0.001). CVD hospitalizations totaled 80.3 million hospital days and 39.7 million hospital procedures during the period. The mean number of procedures (3 vs. 2) and mean length of hospital stay (5.6 vs. 4.5 days) increased during the pandemic (P<0.001). The mean hospital cost for CVD increased from US$ 69,394 in 2016 to US$ 89,728 in 2020 (Ptrend< 0.001). Conclusion CVD mortality increased despite increased resource use over the study period. Hospitalizations during the pandemic had poorer mortality and resource use outcomes than those in the preceding years.

Impact of total indoor smoking ban on cardiovascular disease hospitalizations and mortality: the case of Chile.

The harmful effects of first and secondhand smoking are well established. Smoke-free laws aim at protecting nonsmokers. This study aimed to assess the impact of the 2013 total ban on indoor smoking in Chile on hospitalizations and deaths of major cardiovascular events. The logarithm of the monthly hospitalization and death rates, standardized by age for every 100,000 inhabitants, were estimated for ischemic heart disease, acute myocardial infarction, strokes, and a composite outcome of ischemic heart diseases (which includes acute myocardial infarction) and strokes. In addition, interrupted time series with synthetic control groups were used to assess changes in levels and trends after the intervention. The total ban on indoor smoking caused significant reductions in death rates for the three diseases studied for age groups above 20 years old. In addition, there were substantial decreases in the postintervention hospitalization rates for ischemic heart disease: for the 20-44 age group, the decrease was 8.7% compared to the pre-intervention period (p<0.01). In comparison, such a reduction was 4% (p<0.01) for the ≥65 age group. For acute myocardial infarction, the decrease was 11.5% (p<0.01) for the 20-44 age group, while for stroke, it was a 1.2% (p<0.01) decrease for the total population. It is estimated that the smoking ban averted 15.6% of the deaths compared with the synthetic control groups. The implementation of total smoke-free environments in Chile contributed to the reduction of mortality for main cardiovascular diseases. This study provides additional evidence of causality linking the policy to health outcomes. The total indoor smoking ban significantly affected age-standardized hospitalization and deaths. The number of deaths averted by this policy is estimated at approximately 4,758 and 5,256 for IHD and stroke, respectively, during the 2013-2017 period (15.6% fewer deaths than predicted by the synthetic control groups). The study contributes to the body of evidence that supports total indoor smoking bans.

Hospitalizations for Cardiovascular Diseases Sensitive to Primary Health Care in Paraná State, Brazil: A Bayesian Spatiotemporal Model.

To analyze spatiotemporal trends in hospitalizations for cardiovascular diseases (CVD) sensitive to primary health care (PHC) among individuals aged 50-69 years in Paraná State, Brazil, from 2014 to 2019 and investigate correlations between PHC services and the Social Development Index. We conducted a cross-sectional ecological study using publicly available secondary data to analyze the municipal incidence of hospitalizations for CVD sensitive to PHC and to estimate the risk of hospitalization for this group of diseases and associated factors using hierarchical Bayesian spatiotemporal modeling with Markov chain Monte Carlo simulation. There was a 5% decrease in the average rate of hospitalizations for PHC-sensitive CVD from 2014 to 2019. Regarding standardized hospitalization rate (SHR) according to population size, we found that no large municipality had an SHR >2. Likewise, a minority of these municipalities had SHR values of 1-2 (33%). However, many small and medium-sized municipalities had SHR values >2 (47% and 48%, respectively). A greater Social Development Index value served as a protective factor against hospitalizations, with a relative risk of 0.957 (95% credible interval, 0.929-0.984). The annual risk of hospitalization decreased over time; however, small municipalities had the greatest rates of hospitalization, indicating an increase in health inequity. The inverse association between social development and hospitalizations for CVD sensitive to PHC raises questions about intersectionality in health care.

Health impact assessment of PM2.5 from uncovered coal trains in the San Francisco Bay Area: Implications for global exposures

Coal generates almost 40% of the world's electricity with 80 countries throughout the world using coal power. An inherent part of this generation is the rail transport of coal in uncovered cars, often up to a mile long. Existing studies document the subsequent increments of PM2.5 to the near-rail populations, which typically include a large number of economically disadvantaged residents and/or people of color. However, to date there is no assessment of the health implications of this stage in the use of coal. The present study quantifies such impacts on a region in the San Francisco Bay Area. The analysis shows important effects on mortality, hospitalization for cardiovascular and respiratory disease, asthma exacerbation, work loss, and days of restricted activity. Several of these outcomes exhibited a one to six percent increase over baseline. As such, it delineates the implications for the global effects of the transport of coal.

A multi-component intervention increased access to smoking cessation treatment after hospitalization for atherosclerotic cardiovascular disease: a randomized trial.

To evaluate the effects of a multi-component intervention for smokers hospitalized for atherosclerotic cardiovascular disease (ASCVD) on the participation rate in community-based cessation programmes and the use of cessation drugs. Additionally, to explore the impact on the cessation rates at 6 months. A randomized parallel-group study was conducted at a Norwegian secondary care hospital in 2021. The intervention group was: (i) counselled using motivational interviewing techniques during hospitalization; (ii) given an information leaflet, detailing the cessation programme; and (iii) referred to the community-based smoking cessation treatment including a post-discharge pro-active telephone invitation. The control group received usual care and the same information leaflet containing clear contact details for initiating participation. Data were collected at baseline, 1, 3, and 6 months. Among 99 smokers hospitalized with ASCVD, 40 were excluded. Of 59 randomized patients, 4 were lost to follow-up and 55 completed the study. The mean age was 65.1 (standard deviation 9.3) years, 35% were female, and 88% had smoked >20 years. Co-morbidity was prevalent (mean Charlson score 4.8). The intervention group was more likely to participate in the smoking cessation treatment {48 vs. 7%, difference: 41% [95% confidence interval (CI): 14%, 63%]} and used cessation drugs more frequently [59 vs. 21%, difference: 38% (95% CI: 17%, 59%)]. At the 6 months point prevalence, we observed notable between-group differences in self-reported cessation rate (48 vs. 25%). The intervention significantly increased the participation rate at community-based smoking cessation programmes and the use of cessation drugs among multi-morbid smokers hospitalized for ASCVD.

Comparison of Characteristics and Outcomes in Patients With Acute Decompensated Heart Failure Admitted Under General Medicine and Cardiology Units

Acute decompensated heart failure (ADHF) is a leading cause of cardiovascular disease hospitalisations associated with significant morbidity and mortality. In hospitals, HF patients are typically managed by cardiology or physician teams, with differences in patient demographics and clinical outcomes. This study utilises contemporary HF registry data to compare patient characteristics and outcomes in those with ADHF admitted into General Medicine and Cardiology units. The Victorian Cardiac Outcomes Registry was utilised to identify patients hospitalised with ADHF 30-day period in each of four consecutive years. We compared patient characteristics, pharmacological management and outpatient follow-up of patients admitted to General Medicine and Cardiology units. Primary outcome measures included in-hospital mortality, 30-day readmission, and 30-day mortality. Between 2014 and 2017, a total of 1,253 patients with ADHF admissions were registered, with 53% admitted in General Medicine units and 47% in Cardiology units. General Medicine patients were more likely to be older (82 vs 71 years; p<0.001), female (51% vs 34%; p<0.001), and have higher prevalence of comorbidities and preserved left ventricular function (p<0.001). There were no differences in primary outcome measures between General Medicine and Cardiology in terms of: in-hospital mortality (5.0% vs 3.9%; p=0.35), 30-day readmission (23.4% vs 23.6%; p=0.93), and 30-day mortality (10.0% vs 8.0%; p=0.21). Hospitalised patients with HF continue to have high mortality and rehospitalisation rates. The choice of treatment by General Medicine or Cardiology units, based on the particular medical profile and individual needs of the patients, provides equivalent outcomes.

Aerobic Exercise Attenuates Pressure Overload-Induced Myocardial Remodeling and Myocardial Inflammation via Upregulating miR-574-3p in Mice.

Exercise training can promote cardiac rehabilitation, thereby reducing cardiovascular disease mortality and hospitalization rates. MicroRNAs (miRs) are closely related to heart disease, among which miR-574-3p plays an important role in myocardial remodeling, but its role in exercise-mediated cardioprotection is still unclear. A mouse myocardial hypertrophy model was established by transverse aortic coarctation, and a 4-week swimming exercise training was performed 1 week after the operation. After swimming training, echocardiography was used to evaluate cardiac function in mice, and histopathologic staining was used to detect cardiac hypertrophy, myocardial fibrosis, and cardiac inflammation. Quantitative real-time polymerase chain reaction was used to detect the expression levels of miR-574-3p and cardiac hypertrophy markers. Western blotting detected the IL-6 (interleukin-6)/JAK/STAT inflammatory signaling pathway. Echocardiography and histochemical staining found that aerobic exercise significantly improved pressure overload-induced myocardial hypertrophy (n=6), myocardial interstitial fibrosis (n=6), and cardiac inflammation (n=6). Quantitative real-time polymerase chain reaction detection showed that aerobic exercise upregulated the expression level of miR-574-3p (n=6). After specific knockdown of miR-574-3p in mouse hearts with adeno-associated virus 9 using cardiac troponin T promoter, we found that the protective effect of exercise training on the heart was significantly reversed. Echocardiography and histopathologic staining showed that inhibiting the expression of miR-574-3p could partially block the effects of aerobic exercise on cardiac function (n=6), cardiomyocyte cross-sectional area (n=6), and myocardial fibrosis (n=6). Western blotting and immunohistochemical staining showed that the inhibitory effects of aerobic exercise on the IL-6/JAK/STAT pathway and cardiac inflammation were partially abolished after miR-574-3p knockdown. Furthermore, we also found that miR-574-3p exerts cardioprotective effects in cardiomyocytes by targeting IL-6 (n=3). Aerobic exercise protects cardiac hypertrophy and inflammation induced by pressure overload by upregulating miR-574-3p and inhibiting the IL-6/JAK/STAT pathway.

An assessment of cardiovascular disease hospitalizations and disparities by race in patients with rheumatic disease hospitalizations in Alaska, 2015–2018

BackgroundThere is an increased risk of cardiovascular disease in people with many rheumatic diseases. The primary objective of this study was to evaluate cardiovascular disease hospitalizations in Alaska for people with and without a rheumatic disease diagnosis and assess disparities by race, with a focus on Alaska Native and American Indian people.MethodsThis study used the Alaska Health Facilities Data Reporting Program data on inpatient hospitalizations from 2015 to 2018. We identified people with a rheumatic disease diagnosis based on any hospitalization with a set of rheumatic disease diagnoses and compared them to people hospitalized but without a rheumatic disease diagnosis. We determined the odds of cardiovascular disease hospitalization by rheumatic disease diagnosis and assessed the influence of race and other factors, using univariate analyses and multivariable models.ResultsPeople with a rheumatic disease diagnosis other than osteoarthritis had higher odds of cardiovascular disease hospitalization. The odds ratio was highest in people with gout compared to other rheumatic diseases. In multivariable models, there was an interaction between race and rheumatic disease status. Specifically, having gout increased the odds of cardiovascular disease hospitalization for people of all races, while having a rheumatic disease other than gout or osteoarthritis increased the odds of cardiovascular disease hospitalization in Alaska Native/American Indian people but not in people of other races.ConclusionsThe association between rheumatic disease status and cardiovascular disease hospitalization in Alaska varied by type of rheumatic disease and race. This adds substantially to the literature on associations between rheumatic disease and cardiovascular disease in Indigenous North American populations.

Comparison of predicting cardiovascular disease hospitalization using individual, ZIP code-derived, and machine learning model-predicted educational attainment in New York City.

Area-level social determinants of health (SDOH) based on patients' ZIP codes or census tracts have been commonly used in research instead of individual SDOHs. To our knowledge, whether machine learning (ML) could be used to derive individual SDOH measures, specifically individual educational attainment, is unknown. This is a retrospective study using data from the Mount Sinai BioMe Biobank. We included participants that completed a validated questionnaire on educational attainment and had home addresses in New York City. ZIP code-level education was derived from the American Community Survey matched for the participant's gender and race/ethnicity. We tested several algorithms to predict individual educational attainment from routinely collected clinical and demographic data. To evaluate how using different measures of educational attainment will impact model performance, we developed three distinct models for predicting cardiovascular (CVD) hospitalization. Educational attainment was imputed into models as either survey-derived, ZIP code-derived, or ML-predicted educational attainment. A total of 20,805 participants met inclusion criteria. Concordance between survey and ZIP code-derived education was 47%, while the concordance between survey and ML model-predicted education was 67%. A total of 13,715 patients from the cohort were included into our CVD hospitalization prediction models, of which 1,538 (11.2%) had a history of CVD hospitalization. The AUROC of the model predicting CVD hospitalization using survey-derived education was significantly higher than the model using ZIP code-level education (0.77 versus 0.72; p < 0.001) and the model using ML model-predicted education (0.77 versus 0.75; p < 0.001). The AUROC for the model using ML model-predicted education was also significantly higher than that using ZIP code-level education (p = 0.003). The concordance of survey and ZIP code-level educational attainment in NYC was low. As expected, the model utilizing survey-derived education achieved the highest performance. The model incorporating our ML model-predicted education outperformed the model relying on ZIP code-derived education. Implementing ML techniques can improve the accuracy of SDOH data and consequently increase the predictive performance of outcome models.

Urban–rural disparities in the association of nitrogen dioxide exposure with cardiovascular disease risk in China: effect size and economic burden

BackgroundTogether with rapid urbanization, ambient nitrogen dioxide (NO2) exposure has become a growing health threat. However, little is known about the urban–rural disparities in the health implications of short-term NO2 exposure. This study aimed to compare the association between short-term NO2 exposure and hospitalization for cardiovascular disease (CVD) among urban and rural residents in Shandong Province, China. Then, this study further explored the urban–rural disparities in the economic burden attributed to NO2 and the explanation for the disparities.MethodsDaily hospitalization data were obtained from an electronic medical records dataset covering a population of 5 million. In total, 303,217 hospital admissions for CVD were analyzed. A three-stage time-series analytic approach was used to estimate the county-level association and the attributed economic burden.ResultsFor every 10-μg/m3 increase in NO2 concentrations, this study observed a significant percentage increase in hospital admissions on the day of exposure of 1.42% (95% CI 0.92 to 1.92%) for CVD. The effect size was slightly higher in urban areas, while the urban–rural difference was not significant. However, a more pronounced displacement phenomenon was found in rural areas, and the economic burden attributed to NO2 was significantly higher in urban areas. At an annual average NO2 concentration of 10 μg/m3, total hospital days and expenses in urban areas were reduced by 81,801 (44,831 to 118,191) days and 60,121 (33,002 to 86,729) thousand CNY, respectively, almost twice as much as in rural areas. Due to disadvantages in socioeconomic status and medical resources, despite similar air pollution levels in the urban and rural areas of our sample sites, the rural population tended to spend less on hospitalization services.ConclusionsShort-term exposure to ambient NO2 could lead to considerable health impacts in either urban or rural areas of Shandong Province, China. Moreover, urban–rural differences in socioeconomic status and medical resources contributed to the urban–rural disparities in the economic burden attributed to NO2 exposure. The health implications of NO2 exposure are a social problem in addition to an environmental problem. Thus, this study suggests a coordinated intervention system that targets environmental and social inequality factors simultaneously.

Applying a multistate survival model to explore the role of fine particles in promoting frailty in the Medicare cohort.

Fine particle pollution is a well-established risk to human health. Observational epidemiology generally treats events as though they are independent of one another and so do not examine the role air pollution may play in promoting the progression of disease. Multistate survival models account for the complex pathway of disease to death. We employ a multistate survival model to characterize the role of chronic exposure to PM2.5 in affecting the rate at which Medicare beneficiaries transition to first hospitalization for cardiovascular disease and then subsequently death. We use an open cohort of Medicare beneficiaries and PM2.5 concentrations estimated with photochemical model predictions, satellite-based observations, land-use data, and meteorological variables. The multistate model included three transitions: (1) entry to cardiovascular hospital admission; (2) entry to death; and (3) cardiovascular hospital admission to death. The transition intensity was modeled using a Cox proportional hazards model. For a 1 µg/m3 increase in annual mean PM2.5, we estimate a nationally pooled hazard ratio of 1.022 (95% confidence interval [CI] = 1.018, 1.025) for the transition from entry to first cardiovascular hospital admission; 1.054 (95% CI = 1.039, 1.068) for the transition from entry to death; 1.036 (95% CI = 1.027, 1.044) for the transition from first cardiovascular hospital admission to death. The hazard ratios exhibited some heterogeneity within each of nine climatological regions and for each of the three transitions. We find evidence for the role of PM in both promoting chronic illness and increasing the subsequent risk of death.

A novel approach to accurately measuring the burden of hospitalisations for cardiovascular disease in people with diabetes: A pilot study.

To determine the reliability of hospital discharge codes for heart failure (HF), acute myocardial infarction (AMI) and stroke compared with adjudicated diagnosis, and to pilot a scalable approach to adjudicate records on a population-based sample. A population-based sample of 685 people with diabetes admitted (1274 admissions) to one of three Australian hospitals during 2018-2020 were randomly selected for this study. All medical records were reviewed and adjudicated. Cardiovascular diseases were the most common primary reason for hospitalisation in people with diabetes, accounting for ~17% (215/1274) of all hospitalisations, with HF as the leading cause. ICD-10 codes substantially underestimated HF prevalence and had the lowest agreement with the adjudicated diagnosis of HF (Kappa = 0.81), compared with AMI and stroke (Kappa ≥ 0.91). While ICD-10 codes provided suboptimal sensitivity (72%) for HF, the performance was better for AMI (sensitivity 84%; specificity 100%) and stroke (sensitivity 85%; specificity 100%). A novel approach to screen possible HF cases only required adjudicating 8% (105/1274) of records, correctly identified 78/81 of HF admissions and yielded 96% sensitivity and 98% specificity. While ICD-10 codes appear reliable for AMI or stroke, a more complex diagnosis such as HF benefits from a two-stage process to screen for suspected HF cases that need adjudicating. The next step is to validate this novel approach on large multi-centre studies in diabetes.

Detection of tetracycline and ampicillin resistant E. coli and Salmonella species from hospital wastewater

Escherichia coli (E. coli) and Salmonella spp. were found in hospital wastewater. The highest (E = (6.2 ± 1.8) x 109; S = (4.3 ± 2.2) x 109) and lowest (E = (1.4 ± 1.2) x 109; S = (1.1 ± 1.8) x 109) Total Viable Count (TVC) were in Shaheed Suhrawardy Medical College Hospital (SSMCH) and National Institute of Ophthalmology Hospital (NIOH), respectively. The overall occurrence of E. coli and Salmonella spp. was 80% and 87%, respectively, with 100% occurrence in SSMCH and National Institute of Cardiovascular Diseases Hospital (NICVDH) for Salmonella spp. (p ≤ 0.036). Prevalence of E. coli was low (72%) in winter (November - February). Both types of bacteria were resistant to Tetracycline whereas and 97.5% of E coli were resistant to ampicillin. Gentamycin was more effective than other antibiotics. Rational use of antibiotics is suggested, and hospital management practice should be followed as defined by the Joint Commission International for Hospital Accreditation.&#x0D; Bang. vet. 2023. Vol. 40, No. 1 – 2, 16 – 24

Presentation of hypoparathyroidism in Italy: a nationwide register-based study.

We sought to assess the clinical presentation of hypoparathyroidism (HypoPT) in Italy. We performed a nationwide study retrieving data from the hospital discharge ICD-9 codes database of the Italian Health Ministry, from 2007 through 2017. The codes corresponding to diagnosis of cardiovascular disease, cancer, infection, renal failure, psychiatric disease, upper airway tract infection and pneumonia, seizures, nephrolithiasis, cognitive impairment, cerebral calcifications, skin disorders, fracture, and cataract were retrieved when associated with the diagnosis of HypoPT (252.1). We excluded codes corresponding to diagnoses of cancer of the neck region. In-hospital mortality rate was calculated. We retrieved the same data from an age- and sex-matched non-HypoPT control population. Fourteen thousand five hundred seventy-nine hospitalizations for HypoPT and controls were analyzed. Hospitalization for cardiovascular disease, cancer, infection, renal failure, seizures, nephrolithiasis, cerebral calcifications (p < 0.0001), and cognitive impairment (p < 0.05) were more common in HypoPT compared to controls. Mean age of HypoPT with cardiovascular disease, cancer, and renal failure was younger compared to controls (p < 0.0001). The OR of hospitalization for cardiovascular disease, cancer, renal failure, seizures (OR 2, 40, 48 and1.6, respectively), and nephrolithiasis (OR 1.6) were significant in HypoPT compared to non-HypoPT. The OR of hospitalization for infection and cognitive impairment were significant only in HypoPT women (OR 1.3 and 2.3, respectively). In-hospital mortality rate was lower in HypoPT vs controls (0.5% and 3.7%; p < 0.0001). Hospitalizations for cardiovascular disease, cancer, and renal failure are more prevalent and occur at a younger age in HypoPT vs non-HypoPT. Hospitalizations for seizures and nephrolithiasis are frequent in HypoPT; those for infection and cognitive impairment are more common in HypoPT women.

Cardiovascular disease hospitalizations among women who undergo fertility treatment

Research questionAre women who receive fertility treatment at increased risk of cardiovascular disease (CVD) hospitalization compared with women who do not? DesignA retrospective cohort study of all women registered for fertility treatment at Monash IVF between 1998 and 2014. This cohort was linked to the Victorian Admitted Episodes Dataset, which contains records of all hospital admissions in the Australian state of Victoria. Age- and Index of Relative Socioeconomic Disadvantage (IRSD)-adjusted relative risks of CVD hospitalization for women who did or did not undergo fertility treatment were determined using Poisson regression. Risks were calculated overall by CVD subtype and stratified by area-based social disadvantage using IRSD fifths, number of stimulated cycles and mean oocytes per cycle. ResultsOf 27,262 women registered for fertility treatment, 24,131 underwent treatment and 3131 did not. No significant difference was found in risk of CVD hospitalization between treated and untreated women overall (adjusted RR 0.93, 95% 0.82 to 1.05) or by CVD subtype. The admission risk for CVD was significantly lower in treated women who had a mean of fewer than five oocytes per cycle (adjusted RR 0.80, 95% CI 0.70 to 0.92) compared with untreated women. Treated women residing in areas within the second IRSD fifth were less likely to be hospitalized for CVD compared with untreated women (age-adjusted RR 0.66, 95% CI 0.49 to 0.89). ConclusionsFertility treatment is not associated with increased risk of CVD hospitalization. Lower risk among some subgroups of treated women may be explained by social disadvantage.

Association Between Air Pollution and Cardiovascular Disease Hospitalizations in Lanzhou City, 2013-2020: A Time Series Analysis.

Extensive evidence has shown that air pollution increases the risk of cardiovascular disease (CVD) admissions. We aimed to explore the short-term effect of air pollution on CVD admissions in Lanzhou residents and their lag effects. Meteorological data, air pollution data, and a total of 309,561 daily hospitalizations for CVD among urban residents in Lanzhou were collected from 2013 to 2020. Distributed lag non-linear model was used to analyze the relationship between air pollutants and CVD admissions, stratified by gender, age, and season. PM2.5, NO2, and CO have the strongest harmful effects at lag03, while SO2 at lag3. The relative risks of CVD admissions were 1.0013(95% CI: 1.0003, 1.0023), 1.0032(95% CI: 1.0008, 1.0056), and 1.0040(95% CI: 1.0024, 1.0057) when PM2.5, SO2, and NO2 concentrations were increased by 10μg/m³, respectively. Each 1mg/m3 increase in CO concentration was associated with a relative risk of cardiovascular hospitalization of risk was 1.0909(95% CI: 1.0367, 1.1479). We observed a relative risk of 0.9981(95% CI: 0.9972, 0.9991) for each 10μg/m³ increase in O3 for CVD admissions at lag06. We found a significant lag effects of air pollutants on CVD admissions. NO2 and CO pose a greater risk of hospitalization for women, while PM2.5 and SO2 have a greater impact on men. PM2.5, NO2, and CO have a greater impact on CVD admissions in individuals aged <65years, whereas SO2 affects those aged ≥65years. Our research indicates a possible short-term impact of air pollution on CVD. Local public health and environmental policies should take these preliminary findings into account.