PREVENT Equation: The Black Sheep among Cardiovascular Risk Scores? A Comparative Agreement Analysis of Nine Prediction Models in High-Risk Lithuanian Women.

Background and Objectives: In the context of female cardiovascular risk categorization, we aimed to assess the inter-model agreement between nine risk prediction models (RPM): the novel Predicting Risk of cardiovascular disease EVENTs (PREVENT) equation, assessing cardiovascular risk using SIGN, the Australian CVD risk score, the Framingham Risk Score for Hard Coronary Heart Disease (FRS-hCHD), the Multi-Ethnic Study of Atherosclerosis risk score, the Pooled Cohort Equation (PCE), the QRISK3 cardiovascular risk calculator, the Reynolds Risk Score, and Systematic Coronary Risk Evaluation-2 (SCORE2). Materials and Methods: A cross-sectional study was conducted on 6527 40-65-year-old women with diagnosed metabolic syndrome from a single tertiary university hospital in Lithuania. Cardiovascular risk was calculated using the nine RPMs, and the results were categorized into high-, intermediate-, and low-risk groups. Inter-model agreement was quantified using Cohen's Kappa coefficients. Results: The study uncovered a significant diversity in risk categorization, with agreement on risk category by all models in only 1.98% of cases. The SCORE2 model primarily classified subjects as high-risk (68.15%), whereas the FRS-hCHD designated the majority as low-risk (94.42%). The range of Cohen's Kappa coefficients (-0.09-0.64) reflects the spectrum of agreement between models. Notably, the PREVENT model demonstrated significant agreement with QRISK3 (κ = 0.55) and PCE (κ = 0.52) but was completely at odds with the SCORE2 (κ = -0.09). Conclusions: Cardiovascular RPM selection plays a pivotal role in influencing clinical decisions and managing patient care. The PREVENT model revealed balanced results, steering clear of the extremes seen in both SCORE2 and FRS-hCHD. The highest concordance was observed between the PREVENT model and both PCE and QRISK3 RPMs. Conversely, the SCORE2 model demonstrated consistently low or negative agreement with other models, highlighting its unique approach to risk categorization. These findings accentuate the need for additional research to assess the predictive accuracy of these models specifically among the Lithuanian female population.

Developing technologies to assess vascular ageing: a roadmap from VascAgeNet.

Vascular ageing is the deterioration of arterial structure and function which occurs naturally with age, and which can be accelerated with disease. Measurements of vascular ageing are emerging as markers of cardiovascular risk, with potential applications in disease diagnosis and prognosis, and for guiding treatments. However, vascular ageing is not yet routinely assessed in clinical practice. A key step towards this is the development of technologies to assess vascular ageing. In this Roadmap, experts discuss several aspects of this process, including: measurement technologies; the development pipeline; clinical applications; and future research directions. The Roadmap summarises the state of the art, outlines the major challenges to overcome, and identifies potential future research directions to address these challenges.

Navigating the Landscape of Cardiovascular Risk Scores: A Comparative Analysis of Eight Risk Prediction Models in a High-Risk Cohort in Lithuania.

Background: Numerous cardiovascular risk prediction models (RPM) have been developed, however, agreement studies between these models are scarce. We aimed to assess the inter-model agreement between eight RPMs: assessing cardiovascular risk using SIGN, the Australian CVD risk score (AusCVDRisk), the Framingham Risk Score for Hard Coronary Heart Disease, the Multi-Ethnic Study of Atherosclerosis risk score, the Pooled Cohort Equation (PCE), the QRISK3 cardiovascular risk calculator, the Reynolds Risk Score, and Systematic Coronary Risk Evaluation-2 (SCORE2). Methods: A cross-sectional study was conducted on 11,174 40-65-year-old individuals with diagnosed metabolic syndrome from a single tertiary university hospital in Lithuania. Cardiovascular risk was calculated using the eight RPMs, and the results were categorized into high, intermediate, and low-risk groups. Inter-model agreement was quantified using Cohen's Kappa coefficients. Results: The study revealed significant heterogeneity in risk categorizations with only 1.49% of cases where all models agree on the risk category. SCORE2 predominantly categorized participants as high-risk (67.39%), while the PCE identified the majority as low-risk (62.03%). Cohen's Kappa coefficients ranged from -0.09 to 0.64, indicating varying degrees of inter-model agreement. Conclusions: The choice of RPM can substantially influence clinical decision-making and patient management. The PCE and AusCVDRisk models exhibited the highest degree of agreement while the SCORE2 model consistently exhibited low agreement with other models.

Assessment of the disease severity in patients hospitalized for COVID-19 based on the National Early Warning Score (NEWS) using statistical and machine learning methods: An electronic health records database analysis.

BACKGROUND: The coronavirus disease 2019 (COVID-19) was a cause of concern in the healthcare system and increased the need for disease severity indicators. However, they still vary in use to evaluate in-hospital outcomes and severity. The National Early Warning Score (NEWS) is routinely used to evaluate patient health status at the hospital. Further research is needed to ensure if NEWS can be a good instrument for an overall health status assessment with or without additional information like laboratory tests, intensive care needs, and history of chronic diseases. OBJECTIVE: To evaluate if NEWS can be an indicator to measure COVID-19 patient status in-hospital. METHODS: We used the fully anonymized Electronic Health Records (EHR) characterizing patients admitted to the hospital with COVID-19. Data was obtained from Vilnius University Hospital Santaros Klinikos EHR system (SANTA-HIS) from 01-03-2020 to 31-12-2022. The study sample included 3875 patients. We created several statistical and machine learning models for discrimination between in-hospital death/discharge for evaluation NEWS as a disease severity measure for COVID-19 patients. In these models, two variable sets were considered: median NEWS and its combination with clinical parameters and medians of laboratory test results. Assessment of models' performance was based on the scoring metrics: accuracy, sensitivity, specificity, area under the ROC curve (AUC), and F1-score. RESULTS: Our analysis revealed that NEWS predictive ability for describing patient health status during the stay in the hospital can be increased by adding the patient's age at hospitalization, gender, clinical and laboratory variables (0.853 sensitivity, 0.992 specificity and F1-score - 0.859) in comparison with single NEWS (0.603, 0.995, 0.719, respectively). A comparison of different models showed that stepwise logistic regression was the best method for in-hospital mortality classification. Our findings suggest employing models like ours for advisory routine usage. CONCLUSION: Our model demonstrated incremental value for COVID-19 patient's status evaluation.

Ambulatory and successive home-based heart rate targeted aerobic training improves arterial parameters: a follow-up study in people with metabolic syndrome.

BACKGROUND: Studies demonstrated that outpatient aerobic exercise programs (aEP) can significantly decrease aortic stiffness in people with metabolic syndrome (MetS). There is some limited data that remotely supervised home-based aEP can also improve arterial stiffness in this population. We aimed to evaluate the changes in the arterial wall parameters after the 2-month ambulatory supervised aEP followed by the 6-month home-based aEP with and without targeting of heart rate (HR) by electrocardiogram (ECG) in people with MetS. METHODS: In this prospective study (ClinicalTrials.gov identifier: NCT05592704) 132 MetS subjects (mean age 52.44 ± 6.26 years, 54.55% female) were evaluated. At first, all subjects participated in the 2-month ambulatory supervised aEP, which consisted of 40 individual aerobic training sessions on a cycle ergometer 5 times/week for 40 min and received the recommendations for home-based training. Then the study (n = 66) and the control (n = 66) groups participated in the 6-month home-based aEP, but only the study group subjects targeted their HR using ECG monitor connected to the smartphone during workouts. Arterial stiffness parameters and carotid artery intima-media thickness (cIMT) were evaluated in all participants at baseline and after 8 months. RESULTS: After 8 months, carotid-femoral pulse wave velocity (c-f PWV) significantly reduced in both groups (-12.22% in the study group vs. -7.85% in the control group, all p < .001) without a significant between-group difference (p = 0.144). A significant improvement of carotid-radial pulse wave velocity (c-r PWV) was observed only in the study group (-11.37%, p < .001, d = -0.671) with significant between-group difference (p < .001). The reduction of c-r PWV after 8 months of aEP occurred when c-r PWV at baseline was in the 2nd quartile (>7.90 m/s). A significant decrease of 3.32% in cIMT was present only in the study group (p = .032, d = -0.288). CONCLUSIONS: The combination of 2-month ambulatory supervised aEP and successive 6-month home-based aEP targeted by HR monitoring using ECG improved arterial properties in MetS subjects more than the same combination without HR targeting, leading to the greater reduction of c-r PWV and cIMT.

The combination of 2-month ambulatory supervised aEP and successive 6-month home-based aEP targeted by HR monitoring using ECG improved arterial properties in MetS subjects more than the same combination without HR targeting, leading to the greater reduction of c-r PWV and cIMT.This study foregrounds the importance of home-based training with HR targeting using ECG in people with MetS.

Type 2 Myocardial Infarction and Long-Term Mortality Risk Factors: A Retrospective Cohort Study.

INTRODUCTION: In-hospital risk factors for type 1 myocardial infarction (MI) have been extensively investigated, but risk factors for type 2 MI are still emerging. Moreover, type 2 MI remains an underdiagnosed and under-researched condition. Our aim was to assess survival rates after type 2 MI and to analyze the risk factors for patient prognosis after hospitalization. METHODS: We conducted a retrospective database analysis of patients with MI diagnosis who were treated in Vilnius University Hospital Santaros Klinikos. A total of 6495 patients with the diagnosis of MI were screened. The primary study endpoint was long-term all-cause mortality. The predictive value of laboratory tests was estimated including blood hemoglobin, D dimer, creatinine, brain natriuretic peptide (BNP), C-reactive protein (CRP), and troponin levels. RESULTS: Out of all the patients diagnosed with MI there were 129 cases of type 2 MI (1.98%). Death rate almost doubled from 19.4% at 6 months to 36.4% after 2 years of follow-up. Higher age and impaired kidney function were risk factors for death both during hospitalization and after 2 years of follow-up. Lower hemoglobin (116.6 vs. 98.9 g/L), higher creatinine (90 vs. 161.9 µmol/L), higher CRP (31.4 vs. 63.3 mg/l), BNP (707.9 vs. 2999.3 ng/L), and lower left ventricle ejection fraction were all predictors of worse survival after 2 years of follow-up. Preventive medication during hospitalization can decrease the mortality risk: angiotensin-converting enzyme inhibitor (ACEi) (HR 0.485, 95% CI 0.286-0.820) and statins (HR 0.549, 95% CI 0.335-0.900). No significant influence was found for beta blockers (HR 0.662, 95% CI 0.371-1.181) or aspirin (HR 0.901, 95% CI 0.527-1.539). CONCLUSIONS: There is significant underdiagnosis of type 2 MI (1.98% out of all MIs). If the patient is prescribed a preventive medication like ACEi or statins, the mortality risk is lower. Increased awareness of elevation of laboratory results could help to improve the treatment of these patients and identify the most vulnerable groups.

A Novel Adaptive Noise Elimination Algorithm in Long RR Interval Sequences for Heart Rate Variability Analysis.

As heart rate variability (HRV) studies become more and more prevalent in clinical practice, one of the most common and significant causes of errors is associated with distorted RR interval (RRI) data acquisition. The nature of such artifacts can be both mechanical as well as software based. Various currently used noise elimination in RRI sequences methods use filtering algorithms that eliminate artifacts without taking into account the fact that the whole RRI sequence time cannot be shortened or lengthened. Keeping that in mind, we aimed to develop an artifacts elimination algorithm suited to long-term (hours or days) sequences that does not affect the overall structure of the RRI sequence and does not alter the duration of data registration. An original adaptive smart time series step-by-step analysis and statistical verification methods were used. The adaptive algorithm was designed to maximize the reconstruction of the heart-rate structure and is suitable for use, especially in polygraphy. The authors submit the scheme and program for use.

Changes in health-related quality of life, motivation for physical activity, and the levels of anxiety and depression after individualized aerobic training in subjects with metabolic syndrome.

OBJECTIVE: Numerous studies associate metabolic syndrome (MetS) with poor life quality, depression, and anxiety. Aerobic exercise training has proven its value in promoting health among subjects with MetS. We aimed to evaluate the changes in health-related quality of life (HRQOL), motivation for physical activity, and the levels of anxiety and depression in subjects with MetS after individualized aerobic training. METHODS: A total of 140 subjects with MetS (53.2 ± 6.8 years, 55% female) were analyzed after the random assignment to the intervention (n = 84) or the control group (n = 56). Only the intervention group participated in the 8-week HR targeted aerobic training program, which consisted of exercises on a cycle ergometer for 30­40 min/day, 5 days/week. In all study participants HRQOL, motivation for physical activity, anxiety and depression levels were evaluated by the Medical Outcomes Study 36-Item Short-Form Health Survey, the Exercise Motivations Inventory-2, and the Hospital Anxiety and Depression scale before and after 8 weeks. RESULTS: After 8 weeks, self-reported physical functioning significantly increased only in the intervention group (p = 0.01). The scores of mental health-summary and role limitations due to emotional problems also improved in subjects with MetS, who participated in the aerobic training program (p < 0.001, p = 0.009, respectively). The scores for social engagement motive, enjoyment and revitalization motive, and fitness motive to exercise increased (p = 0.003, p < 0.001, p = 0.023, respectively), whereas the level of depression reduced only in the intervention group (p = 0.021). CONCLUSIONS: The 8-week individualized aerobic training had a positive effect on HRQOL, motivation for physical activity, and the level of depression in subjects with MetS.

Randomized Pilot Trial on Optimal Treatment Strategy, Myocardial Changes, and Prognosis of Patients with Myocardial Infarction with Nonobstructive Coronary Arteries (MINOCA).

BACKGROUND: Myocardial infarction with nonobstructive coronary arteries (MINOCA) remains an unresolved challenge. Many different diagnostic approaches are often required to diagnose, confirm, and evaluate MINOCA. The prevalence can be as high as 13% of all acute myocardial infarction patients, indicating that this condition is not rare. At this time, there have been no completed randomized clinical trials involving MINOCA patients, and a better understanding of the mechanisms and management of these patients is important. This exploratory analysis seeks to find possible etiologic factors, the value of novel biomarkers, and the effect of different treatment strategies in patients with MINOCA. METHODS: This prospective randomized pilot trial will include 150 patients with MINOCA. A thorough clinical, laboratory, and imaging evaluation will be performed, including novel biomarkers and modern imaging techniques (heart magnetic resonance imaging and noninvasive testing). The duration of the enrollment is 18 months, and duration of the follow-up is 12 months from the enrollment of the first patient. RESULTS: The trial is registered under www.clinicaltrials.gov: NCT04538924. The study is currently recruiting participants. CONCLUSIONS: Because MINOCA is not a benign disease, the results of the current investigation could inform future diagnostic and therapeutic strategies and enhance the understanding of MINOCA patients.

Pathophysiology of Circulating Biomarkers and Relationship With Vascular Aging: A Review of the Literature From VascAgeNet Group on Circulating Biomarkers, European Cooperation in Science and Technology Action 18216.

Impairment of the arteries is a product of sustained exposure to various deleterious factors and progresses with time; a phenomenon inherent to vascular aging. Oxidative stress, inflammation, the accumulation of harmful agents in high cardiovascular risk conditions, changes to the extracellular matrix, and/or alterations of the epigenetic modification of molecules, are all vital pathophysiological processes proven to contribute to vascular aging, and also lead to changes in levels of associated circulating molecules. Many of these molecules are consequently recognized as markers of vascular impairment and accelerated vascular aging in clinical and research settings, however, for these molecules to be classified as biomarkers of vascular aging, further criteria must be met. In this paper, we conducted a scoping literature review identifying thirty of the most important, and eight less important, biomarkers of vascular aging. Herein, we overview a selection of the most important molecules connected with the above-mentioned pathological conditions and study their usefulness as circulating biomarkers of vascular aging.

Arterial stiffness in regards to kidney function in middle-aged subjects with metabolic syndrome: Lithuanian high-risk cohort.

OBJECTIVE: The current study aimed to check whether early vascular aging, measured as carotid-femoral pulse wave velocity (cfPWV), is related to kidney function, measured as creatinine-based estimated glomerular filtration (eGFR) and urinary albumin-to-creatinine ratio (UACR), in middle-aged subjects with metabolic syndrome. METHODS: Participants were recruited from Lithuanian high-risk cohort (LitHiR). The cohort consists of middle-aged individuals with high cardiovascular risk but without overt cardiovascular disease. Participants underwent baseline and second visit hemodynamics measurement, including aortic mean arterial pressure (MAP), cfPWV, crPWV, carotid-intima media thickness measurement (CIMT) and biochemical analysis and all fulfilled NCEP/ATPIII criteria for metabolic syndrome diagnosis. First of all, we had determined correlations among hemodynamic measurement and eGFR together with albuminuria, expressed as UACR. Then we compared subjects who experienced significant eGFR decline with the remaining population and determining factors influencing this. RESULTS: A total of 689 subject data were eligible for analysis. We observed relationship between cfPWV and MAP, crPWV, glucose, BMI, C-reactive protein, waist circumference except kidney function measured as eGFR at the baseline and at the second visit. eGFR was not associated with MAP or albuminuria. Baseline but not second visit UACR significantly positively correlated with cfPWV (r-spearman = 0.146, P = 0.003) and MAP (r-spearman = 0.142, P = 0.005). eGFR decline was mainly observed in subjects with higher baseline eGFR and was independently influenced by increase in cfPWV. CONCLUSION: In middle-aged subjects with prevalent metabolic syndrome eGFR decline is related to aortic and not peripheral arterial stiffening. Better baseline kidney function could be possibly an effect of glomerular hyperfiltration, and it allows us to conclude that this phenomenon indicates early vascular damage and it should be addressed seriously in metabolic syndrome patients with normal kidney function.

Defining the nocturnal period in 24-h ambulatory blood pressure monitoring: a comparison of three methods.

OBJECTIVES: The purpose of our study was to compare three definitions of ambulatory blood pressure (BP) nocturnal period and to assess their agreement in determining nocturnal BP dipping patterns. METHODS: We investigated 69 subjects with metabolic syndrome, aged 50-55 years. In all subjects, we assessed 24-h BP monitoring, electrocardiogram and actigraphy profiles. The nocturnal period was defined in three ways: as a fixed narrow nighttime period from 01:00 to 06:00, as a self-reported sleeping period and as a disappearance and onset of physical activity recorded by the actigraph. RESULTS: Our study revealed a significant discrepancy between the self-reported and actigraphy-based nocturnal periods (P < 0.001). In addition, different definitions of the nighttime yielded significant differences in determining nondipping, extreme dipping and dipping BP patterns, the identification of the latter being affected the most. The actigraphy-based approach best aligned with the fixed-time determination of the nocturnal period: Cohen's kappa coefficient for the nondipping pattern was 0.78 (0.58-1), for the dipping pattern 0.75 (0.59-0.91) and for the extreme dipping pattern 0.81 (0.65-0.97). In comparison to the self-reported determination of the nocturnal period, using the actigraphy-based approach resulted in reclassifying the nocturnal BP pattern in 20.3% of subjects. CONCLUSIONS: The lack of agreement between fixed-time, self-reported and actigraphy-based determinations of the nighttime period affects the identification of the nocturnal BP patterns. In comparison to the self-reported nocturnal period estimation, the actigraphy-based approach results in the reclassification of BP dipping status in every fifth subject.

Anxiety, Depression, and Suicidal Ideation amongst Patients with Facial Dermatoses (Acne, Rosacea, Perioral Dermatitis, and Folliculitis) in Lithuania.

BACKGROUND/OBJECTIVE: Skin diseases, especially those with visible manifestation, are considered to cause a major influence on global mental health. Therefore, we determined the prevalence and severity of anxiety, depression, and suicidal ideation in a large sample of patients with facial dermatoses, namely acne, rosacea, folliculitis, and perioral dermatitis. METHODS: The mental health of patients with facial dermatoses and respective controls was assessed using the Hospital Anxiety and Depression Scale and questions concerning suicidal ideation. RESULTS: The study included 543 patients with facial dermatoses and 497 healthy individuals. Anxiety was present in 37.6% of the patients (14.9% of controls), depression in 21.7% (6.8%), and suicidal thoughts in 9.8% (3.2%) (p < 0.001). Acne patients demonstrated the highest anxiety and depression subscale scores (mean ± standard deviation: 7.1 ± 0.25, 95% confidence interval (CI): 6.58-7.56; controls: 5 ± 0.23, 95% CI: 4.57-5.49). In rosacea 30% of the patients had depression symptoms (adjusted odds ratio (OR): 7.216, 95% CI: 4.122-12.632, p < 0.001), while in folliculitis patients 15.4% (OR: 3.138, 95% CI: 1.241-7.936, p = 0.016) had suicidal thoughts. Patients with anxiety symptoms and suicidal thoughts were on average younger than those without (28.3 ± 0.76 vs. 31.2 ± 0.66 years, p = 0.001 and 25.3 ± 0.98 vs. 30.5 ± 0.55 years, p = 0.007, respectively). CONCLUSION: Acne and rosacea are associated with anxiety, depression, and suicidal ideation in Lithuanian patients. Younger patients are more prone to report such symptoms than older ones.

Daily Heart Rate Variability Indices in Subjects with and Without Metabolic Syndrome Before and After the Elimination of the Influence of Day-Time Physical Activity.

Background and Objectives: The available research shows conflicting data on the heart rate variability (HRV) in metabolic syndrome (MetS) subjects. The discrepancy suggests a methodical shortcoming: due to the influence of physical activity, the standard measuring of HRV at rest is not comparable with HRV assessment based on 24h Holter monitoring, which is preferred because of its comprehensiveness. To obtain a more reliable measure and to clarify to what extent HRV is altered in MetS, we assessed a 24h HRV before and after the elimination of the influence of physical activity. Materials and Methods: We investigated 69 metabolic syndrome (MetS) and 37 control subjects, aged 50-55. In all subjects, 24h monitoring of electrocardiogram, blood pressure, and actigraphy profiles were conducted. To eliminate the influence of day-time physical activity on RR intervals (RRI), a linear polynomial autoregressive model with exogenous terms (ARX) was used. Standard spectral RRI analysis was performed. Results: Subjects with MetS had blunted HRV; the diurnal SDNN index was reliably lower in the MetS group than in control subjects. The elimination of the influence of physical activity did not reveal a significant HRV change in long-term indices (SDNN, SDANN, and SD2), whilst adjacent RRI values (RMSSD, pNN50, and SD1) and SDNN index significantly increased (p < 0.001). An increase in the latter indices highlighted the HRV difference between the MetS and control groups; a significant (p < 0.001) decrease of all short-term HRV variables was found in the MetS group (p < 0.01), and low-frequency spectral components were less pronounced in the MetS group. Conclusion: The application of a polynomial autoregressive model in 24h HRV assessment allowed for the exclusion of the influence of physical activity and revealed that MetS is associated with blunted HRV, which reflects mitigated parasympathetic tone.

Gender-Based Differences in Anxiety and Depression Following Acute Myocardial Infarction / Diferenças por Sexo na Ansiedade e Depressão após Infarto Agudo do Miocárdio

Abstract Background: Among patients with heart disease, depression and anxiety disorders are highly prevalent and persistent. Both depression and anxiety play a significant role in cardiovascular disease progression and are acknowledged to be independent risk factors. However, there is very little gender-related analysis concerning cardiovascular diseases and emotional disorders. Objective: We aimed to evaluate depression and anxiety levels in patients suffering from myocardial infarction [MI] within the first month after the MI and to assess the association between cardiovascular disease risk factors, demographic indicators and emotional disorders, as well as to determine whether there are gender-based differences or similarities. Methods: This survey included demographic questions, clinical characteristics, questions about cardiovascular disease risk factors and the use of the Hospital Anxiety and Depression Scale [HADS]. All statistical tests were two-sided, and p values < 0.05 were considered statistically significant. Results: It was determined that 71.4% of female and 60.4% of male patients had concomitant anxiety and/or depression symptomatology (p = 0.006). Using men as the reference point, women had an elevated risk of having some type of psychiatric disorder (odds ratio, 2.86, p = 0.007). The HADS-D score was notably higher in women (8.66 ± 3.717) than men (6.87 ± 4.531, p = 0.004). It was determined that male patients who developed depression were on average younger than those without depression (p = 0.005). Conclusions: Women demonstrated an elevated risk of having anxiety and/or depression disorder compared to men. Furthermore, depression severity increased with age in men, while anxiety severity decreased. In contrast, depression and anxiety severity was similar for women of all ages after the MI. A higher depression score was associated with diabetes and physical inactivity, whereas a higher anxiety score was associated with smoking in men. Hypercholesterolemia was associated with both higher anxiety and depression scores, and a higher depression score was associated with physical inactivity in women.

Resumo Fundamento: Os pacientes com doença cardíaca, depressão e transtornos de ansiedade são altamente prevalentes e persistentes. A depressão e a ansiedade desempenham um papel significativo na progressão da doença cardiovascular e são reconhecidas como fatores de risco independentes. No entanto, há muito pouca análise relacionada ao gênero em relação às doenças cardiovasculares e transtornos emocionais. Objetivo: Avaliar os níveis de depressão e ansiedade em pacientes com infarto do miocárdio (IM) no primeiro mês após o IM e avaliar a relação entre os fatores de risco para doença cardiovascular, indicadores demográficos e distúrbios emocionais, bem como determinar se existem diferenças ou semelhanças baseadas no sexo do paciente. Métodos: Esta pesquisa incluiu questões demográficas, características clínicas, questões sobre fatores de risco de doença cardiovascular e a Escala Hospitalar de Ansiedade e Depressão [HADS]. Todos os testes estatísticos foram bilaterais, e valores de p < 0,05 foram considerados estatisticamente significativos. Resultados: Determinou-se que 71,4% dos pacientes do sexo feminino e 60,4% dos pacientes do sexo masculino apresentavam sintomatologia concomitante de ansiedade e/ou depressão (p = 0,006). Utilizando os homens como o ponto de referência, as mulheres mostraram um risco elevado de apresentar qualquer distúrbio psiquiátrico (odds ratio, 2,86, p = 0,007). O escore da HADS-D foi notavelmente maior nas mulheres (8,66 ± 3,717) do que nos homens (6,87 ± 4,531, p = 0,004). Foi determinado que os pacientes do sexo masculino que desenvolveram depressão eram em média mais jovens do que aqueles sem depressão (p = 0,005). Conclusões: As mulheres demonstraram risco mais elevado de apresentar distúrbio de ansiedade e/ou depressão em comparação aos homens. Além disso, a gravidade da depressão aumentou com a idade entre os homens, enquanto o gravidade da ansiedade diminuiu. Em contraste, a gravidade da depressão e ansiedade foram semelhantes para mulheres de todas as idades após o IM. Um maior escore de depressão foi associado com diabetes e inatividade física, e o maior escore de ansiedade foi associado ao tabagismo nos homens. A hipercolesterolemia foi associada tanto aos maiores escores de ansiedade e depressão, enquanto um maior escore de depressão foi associado à inatividade física entre mulheres.

Gender-Based Differences in Anxiety and Depression Following Acute Myocardial Infarction.

BACKGROUND: Among patients with heart disease, depression and anxiety disorders are highly prevalent and persistent. Both depression and anxiety play a significant role in cardiovascular disease progression and are acknowledged to be independent risk factors. However, there is very little gender-related analysis concerning cardiovascular diseases and emotional disorders. OBJECTIVE: We aimed to evaluate depression and anxiety levels in patients suffering from myocardial infarction [MI] within the first month after the MI and to assess the association between cardiovascular disease risk factors, demographic indicators and emotional disorders, as well as to determine whether there are gender-based differences or similarities. METHODS: This survey included demographic questions, clinical characteristics, questions about cardiovascular disease risk factors and the use of the Hospital Anxiety and Depression Scale [HADS]. All statistical tests were two-sided, and p values < 0.05 were considered statistically significant. RESULTS: It was determined that 71.4% of female and 60.4% of male patients had concomitant anxiety and/or depression symptomatology (p = 0.006). Using men as the reference point, women had an elevated risk of having some type of psychiatric disorder (odds ratio, 2.86, p = 0.007). The HADS-D score was notably higher in women (8.66 ± 3.717) than men (6.87 ± 4.531, p = 0.004). It was determined that male patients who developed depression were on average younger than those without depression (p = 0.005). CONCLUSIONS: Women demonstrated an elevated risk of having anxiety and/or depression disorder compared to men. Furthermore, depression severity increased with age in men, while anxiety severity decreased. In contrast, depression and anxiety severity was similar for women of all ages after the MI. A higher depression score was associated with diabetes and physical inactivity, whereas a higher anxiety score was associated with smoking in men. Hypercholesterolemia was associated with both higher anxiety and depression scores, and a higher depression score was associated with physical inactivity in women.

Age- and gender-related peculiarities of patients with delirium in the cardiac intensive care unit.

BACKGROUND: The overall evidence base regarding delirium has been growing steadily over the past few decades. There has been considerable analysis of delirium concerning, for example, mechanically ventilated patients, patients in the general intensive care unit (ICU) setting, and patients with exclusively postoperative delirium. Nevertheless, there are few studies regarding delirium in a cardiovascular ICU (ICCU) setting and especially scarce literature about the particular features of delirium relating to patient age and gender. AIM: We aimed to determine particular features of delirium not induced by alcohol or other psychoactive substances, relating to patient age and gender in an ICCU setting. METHODS: An observational cross-sectional study was conducted to evaluate patients with delirium in a Lithuanian ICCU. From a sample of 19,007 ICCU admissions, 337 (1.8%) had documented delirium diagnosed through liaison and consultation with a psychiatrist and were included in the final analysis. The obtained data was then evaluated and analysed according to patients' gender and four categorised age groups: < 65 years, 65-74 years, 75-84 years, and ≥ 85 years. RESULTS: Female patients who experienced delirium demonstrated a higher prevalence of hypertension, hyponatraemia, heart failure, cardiac rhythm and conduction disorders, myocardial infarction (MI), and dementia. The men, who were on average seven years younger than the women, significantly more often had hypokalaemia, double- or triple-vessel coronary artery disease, and sepsis. Furthermore, MI, ST-segment elevated MI, and Killip class 4 were most frequent amongst patients less than 65 years of age. Moreover, the youngest patient group demonstrated the highest mortality. CONCLUSIONS: Our investigation presented a number of associated peculiarities related to gender and age. It was shown that delirium is a severe complication that more often affects men amongst patients < 65 years old and more frequently affects women in the age group of ≥ 85 years. Male patients < 65 years old, who develop delirium should be treated with more caution because they tend to have more serious forms of disorder and a poorer prognosis.