Urinary proteomics combined with home blood pressure telemonitoring for health care reform trial-First progress report.

High blood pressure (BP) and type-2 diabetes (T2DM) are forerunners of chronic kidney disease and left ventricular dysfunction. Home BP telemonitoring (HTM) and urinary peptidomic profiling (UPP) are technologies enabling risk stratification and personalized prevention. UPRIGHT-HTM (NCT04299529) is an investigator-initiated, multicenter, open-label, randomized trial with blinded endpoint evaluation designed to assess the efficacy of HTM plus UPP (experimental group) over HTM alone (control group) in guiding treatment in asymptomatic patients, aged 55-75 years, with ≥5 cardiovascular risk factors. From screening onwards, HTM data can be freely accessed by all patients and their caregivers; UPP results are communicated early during follow-up to patients and caregivers in the intervention group, but at trial closure in the control group. From May 2021 until January 2023, 235 patients were screened, of whom 53 were still progressing through the run-in period and 144 were randomized. Both groups had similar characteristics, including average age (62.0 years) and the proportions of African Blacks (81.9%), White Europeans (16.7%), women 56.2%, home (31.2%), and office (50.0%) hypertension, T2DM (36.4%), micro-albuminuria (29.4%), and ECG (9.7%) and echocardiographic (11.5%) left ventricular hypertrophy. Home and office BP were 128.8/79.2 mm Hg and 137.1/82.7 mm Hg, respectively, resulting in a prevalence of white-coat, masked and sustained hypertension of 40.3%, 11.1%, and 25.7%. HTM persisted after randomization (48 681 readings up to 15 January 2023). In conclusion, results predominantly from low-resource sub-Saharan centers proved the feasibility of this multi-ethnic trial. The COVID-19 pandemic caused delays and differential recruitment rates across centers.

Characteristics, Mortality, and Clinical Outcomes of Hospitalized Patients with COVID-19 and Diabetes: A Reference Single-Center Cohort Study from Poland.

Background: Diabetes is a risk factor for a severe course of COVID-19. We evaluated the characteristics and risk factors associated with undesirable outcomes in diabetic patients (DPs) hospitalized due to COVID-19. Materials and Methods: The data analysis of patients admitted between March 6, 2020, and May 31, 2021, to the University Hospital in Krakow (Poland), a reference center for COVID-19, was performed. The data were gathered from their medical records. Results: A total number of 5191 patients were included, of which 2348 (45.2%) were women. The patients were at the median age of 64 (IQR: 51-74) years, and 1364 (26.3%) were DPs. DPs, compared to nondiabetics, were older (median age: 70 years, IQR: 62-77 vs. 62, IQR: 47-72, and p < 0.001) and had a similar gender distribution. The DP group had a higher mortality rate (26.2% vs. 15.7%, p < 0.001) and longer hospital stays (median: 15 days, IQR: 10-24 vs. 13, IQR: 9-20, and p < 0.001). DPs were admitted to the ICU more frequently (15.7% vs. 11.0%, p < 0.001) and required mechanical ventilation more often (15.5% vs. 11.3%, p < 0.001). In a multivariate logistic regression, factors associated with a higher risk of death were age >65 years, glycaemia >10 mmol/L, CRP and D-dimer level, prehospital insulin and loop diuretic use, presence of heart failure, and chronic kidney disease. Factors contributing to lower mortality were in-hospital use of statin, thiazide diuretic, and calcium channel blocker. Conclusion: In this large COVID-19 cohort, DPs constituted more than a quarter of hospitalized patients. The risk of death and other outcomes compared to nondiabetics was higher in this group. We identified a number of clinical, laboratory, and therapeutic variables associated with the risk of hospital death in DPs.

Short and long-term survival in patients hospitalized due to COVID-19 in relation to cardiovascular risk factors and established cardiovascular diseases: the Cor-Cardio Study.

INTRODUCTION: We aimed to analyze the influence of cardiovascular risk factors, established cardiovascular diseases and its treatment with cardiovascular drugs on short term and long term survival in patients hospitalized due to COVID-19. PATIENTS AND METHODS: We retrospectively analyzed data of patients hospitalized in thirteen COVID - 19 hospitals in Poland (between March 2020 and October 2020). Individual deaths were recorded during follow-up until March 2021. RESULTS: Overall 2346 COVID-19 patients were included (mean age 61 years, 50.2% women). 341 patients (14.5%) died during hospitalization and 95 (4.7%) died during follow-up. Independent predictors for in-hospital death were: older age, history of established cardiovascular disease, heart failure (HF), chronic kidney disease (CKD), while treatment with renin-angiotensin-aldosterone system (RAAS) blockers and statins were related with lower risk of death during hospitalization. The independent predictors of death during follow-up were older age, history of established cardiovascular disease, CKD and history of cancer. Presence of cardiovascular risk factors did not increase odds of death either in hospital or during follow-up. Of note, higher systolic blood pressure and oxygen blood saturation on admission were assessed with better short and long term prognosis. CONCLUSION: Established cardiovascular disease and chronic kidney disease are the main predictors of mortality during hospitalization and during follow-up in patients hospitalized due to COVID-19, while the use of cardiovascular drugs during hospitalization is associated with better prognosis. The presence of cardiovascular risk factors did not increase odds of in-hospital and follow-up death.

Prevalence and clinical implications of atrial fibrillation in patients hospitalized due to COVID-19: Data from a registry in Poland.

Background: Atrial fibrillation (AF) is a common arrhythmia with increasing prevalence with respect to age and comorbidities. AF may influence the prognosis in patients hospitalized with Coronavirus disease 2019 (COVID-19). We aimed to assess the prevalence of AF among patients hospitalized due to COVID-19 and the association of AF and in-hospital anticoagulation treatment with prognosis. Methods and results: We assessed the prevalence of AF among patients hospitalized due to COVID-19 and the association of AF and in-hospital anticoagulation treatment with prognosis. Data of all COVID-19 patients hospitalized in the University Hospital in Krakow, Poland, between March 2020 and April 2021, were analyzed. The following outcomes: short-term (30-days since hospital admission) and long-term (180-days after hospital discharge) mortality, major cardiovascular events (MACEs), pulmonary embolism, and need for red blood cells (RBCs) transfusion, as a surrogate for major bleeding events during hospital stay were assessed. Out of 4,998 hospitalized patients, 609 had AF (535 pre-existing and 74 de novo). Compared to those without AF, patients with AF were older and had more cardiovascular disorders. In adjusted analysis, AF was independently associated with an increased risk of short-term {p = 0.019, Hazard Ratio [(HR)] 1.236; 95% CI: 1.035-1.476} and long-term mortality (Log-rank p < 0.001) as compared to patients without AF. The use of novel oral anticoagulants (NOAC) in AF patients was associated with reduced short-term mortality (HR 0.14; 95% CI: 0.06-0.33, p < 0.001). Moreover, in AF patients, NOAC use was associated with a lower probability of MACEs (Odds Ratio 0.3; 95% CI: 0.10-0.89, p = 0.030) without increase of RBCs transfusion. Conclusions: AF increases short- and long-term risk of death in patients hospitalized due to COVID-19. However, the use of NOACs in this group may profoundly improve prognosis.

The role of artificial intelligence technology analysis of HRCT images in predicting the severity of COVID-19 pneumonia.

INTRODUCTION: The purpose of the study was to analyze the role of automatic assessment of COVID-19 pneumonia severity in high resolution computed tomography (HRCT) images by artificial intelligence (AI) technology. PATIENTS AND METHODS: We retrospectively studied the medical records of consecutive patients admitted to the Krakow University Hospital due to COVID-19. Of the 1,729 patients, 804 had HRCT with automatically analyzed radiological parameters: absolute inflammation volume (AIV), absolute ground glass volume (AGV), absolute consolidation volume (ACV), percentage inflammation volume (PIV), percentage ground glass volume (PGV), percentage consolidation volume (PCV) and severity of pneumonia classified as none, mild, moderate, or critical. RESULTS: The automatically assessed radiological parameters correlated with the clinical parameters that reflected the severity of pneumonia (p < 0.05). Patients with critical pneumonia, compared to mild or moderate, were more frequently men, had significantly lower oxygen saturation, higher respiratory rate, higher levels of inflammatory markers, more common need for mechanical ventilation, and admission to the intensive care unit (ICU); moreover, they were more likely to die during hospitalization. Notably, as determined by the receiving operating characteristic curve, radiological parameters above or equal the cut-off points were independently associated with in-hospital mortality (ACV odds ratio (OR) 4.08, 95% confidence limits (CI) 2.62 - 6.35; PCV OR 4.05, CI 2.60 - 6.30). CONCLUSIONS: Using AI to analyze HRCT images is a simple and valuable approach to predict the severity of COVID-19 pneumonia.

Cardiovascular consequences of aircraft noise exposure.

The results from epidemiological studies suggest that environmental noise including aircraft, railway, road traffic, wind turbine, and leisure-related noise is a growing public health concern. According to the WHO, at least 100 million people in the European Union are affected by traffic noise levels above the WHO-recommended thresholds. Environmental noise can adversely affect physical and mental health, as well as wellbeing. Chronic low-level noise exposure typical for most environmental sources is associated with psychophysiological stress causing non-auditory or indirect noise effects leading ultimately to cardiovascular diseases. Among all environmental noise sources, aircraft noise is considered the most annoying, and its leading mechanism of action is autonomic system activation such as increases in heart rate and blood pressure. Previously, we observed that long-term exposure to aircraft noise was associated with increased diastolic blood pressure, arterial stiffness (as assessed by pulse wave velocity), and impaired left ventricular diastolic function. All mentioned above effects are early, subclinical, and potentially reversible changes which preceded late noise effects in the cardiovascular system, that is, established cardiovascular diseases such as myocardial infarction, stroke, and heart failure. However, even a short-term reduction in aircraft noise exposure as observed during the COVID-19 lockdown may reverse these negative effects on arterial stiffness and blood pressure and may decrease the prevalence of insomnia. In this review, we aimed to critically discuss our obtained results considering recent studies on the influence of aircraft noise (and other traffic noises) on cardiovascular diseases in the context of the WHO Environmental Noise Guidelines for the European Region.

Ambulatory blood pressure monitoring in treated patients with hypertension in the COVID-19 pandemic - The study of European society of hypertension (ESH ABPM COVID-19 study).

PURPOSE: The coronavirus disease 2019 (COVID-19) pandemic and the subsequent lockdown profoundly affected almost all aspects of daily life including health services worldwide. The established risk factors for increased blood pressure (BP) and hypertension may also demonstrate significant changes during the pandemic. This study aims to determine the impact of the COVID-19 pandemic on BP control and BP phenotypes as assessed with 24-hour ambulatory BP monitoring (ABPM). MATERIALS AND METHODS: This is a multi-centre, observational, retrospective and comparative study involving Excellence Centres of the European Society of Hypertension across Europe. Along with clinical data and office BP, ABPM recordings will be collected in adult patients with treated arterial hypertension. There will be two groups in the study: Group 1 will consist of participants who have undergone two ABPM recordings - the second one occurring during the COVID-19 pandemic, i.e. after March 2020, and the first one 9-15 months prior to the second. Participants in Group 2 will have two repeated ABPM recordings - both performed before the pandemic within a similar 9-15 month interval between the recordings. Within each group, we will analyse and compare BP variables and phenotypes (including averaged daytime and night-time BP, BP variability, dipper and non-dipper status, white-coat and masked hypertension) between the two respective ABPM recordings and compare these changes between the two groups. The target sample size will amount to least 590 participants in each of the study groups, which means a total of at least 2360 ABPM recordings overall. EXPECTED OUTCOMES: As a result, we expect to identify the impact of a COVID-19 pandemic on blood pressure control and the quality of medical care in order to develop the strategy to control cardiovascular risk factors during unpredictable global events.

What is the context?A wide range of daily activities, including health care worldwide, were deeply affected by the Coronavirus disease 2019 pandemic and the subsequent lockdown.What is new?Our multicenter study will examine the impact of the COVID-19 pandemic on blood pressure control in hypertensive patients across Europe by analysing results of 24-hour ambulatory blood pressure monitoring.What is the impact?Optimising strategies for dealing with future unpredictable global situations will depend on understanding how the pandemic affected blood pressure control.

Comparison between COVID­19 outcomes in the first 3 waves of the pandemic: a reference hospital report.

INTRODUCTION: The course of consecutive COVID­19 waves was influenced by medical and organizational factors. OBJECTIVES: We aimed to assess the outcomes of patients hospitalized for COVID­19 during the first 3 waves of the pandemic. PATIENTS AND METHODS: We performed a retrospective analysis of medical records of all COVID­19 patients admitted to the University Hospital in Kraków, Poland, a designated COVID­19 hospital in Malopolska province, between March 1, 2020 and May 31, 2021. The waves were defined as 1, 2, and 3, and covered the periods of March 2020 to July 2020, August 2020 to January 2021, and February 2021 to May 2021, respectively. Patients' characteristics and outcomes for waves 1 through 3 were compared. RESULTS: Data analyses included 5191 patients with COVID­19. We found differences in age (mean [SD], 60.2 [17.3] years vs 62.4 [16.8] years vs 61.9 [16.1] years, respectively, for waves 1, 2, and 3; P = 0.003), sex distribution (proportion of women, 51.4% vs 44.2% vs 43.6%; P = 0.003), as well as concentrations of inflammatory markers and oxygen saturation (the lowest and the highest for wave 1, respectively; P <0.001). Hospital death rates in subsequent waves were 10.4%, 19.8%, and 20.3% (P <0.001). Despite similarities in patients' characteristics, the length of hospital and intensive care unit stay was shorter for wave 3 than for wave 2. The risk factors for in­hospital death were: advanced age, male sex, cardiovascular or chronic kidney disease, higher C­reactive protein level, and hospitalization during the second or third wave. CONCLUSIONS: We identified differences in patients' clinical characteristics and outcomes between consecutive pandemic waves, which probably reflect changes in terms of COVID­19 isolation policy, hospitalization and treatment indications, and treatment strategies.

Impact of concomitant COVID-19 on the outcome of patients with acute myocardial infarction undergoing coronary artery angiography.

Background: The impact of COVID-19 on the outcome of patients with MI has not been studied widely. We aimed to evaluate the relationship between concomitant COVID-19 and the clinical course of patients admitted due to acute myocardial infarction (MI). Methods: There was a comparison of retrospective data between patients with MI who were qualified for coronary angiography with concomitant COVID-19 and control group of patients treated for MI in the preceding year before the onset of the pandemic. In-hospital clinical data and the incidence of death from any cause on 30 days were obtained. Results: Data of 39 MI patients with concomitant COVID-19 (COVID-19 MI) and 196 MI patients without COVID-19 in pre-pandemic era (non-COVID-19 MI) were assessed. Compared with non-COVID-19 MI, COVID-19 MI was in a more severe clinical state on admission (lower systolic blood pressure: 128.51 ± 19.76 vs. 141.11 ± 32.47 mmHg, p = 0.024), higher: respiratory rate [median (interquartile range), 16 (14-18) vs. 12 (12-14)/min, p < 0.001], GRACE score (178.50 ± 46.46 vs. 161.23 ± 49.74, p = 0.041), percentage of prolonged (>24 h) time since MI symptoms onset to coronary intervention (35.9 vs. 15.3%; p = 0.004), and cardiovascular drugs were prescribed less frequently (beta-blockers: 64.1 vs. 92.8%, p = 0.009), angiotensin-converting enzyme inhibitors/angiotensin receptor blockers: 61.5 vs. 81.1%, p < 0.001, statins: 71.8 vs. 94.4%, p < 0.001). Concomitant COVID-19 was associated with seven-fold increased risk of 30-day mortality (HR 7.117; 95% CI: 2.79-18.14; p < 0.001). Conclusion: Patients admitted due to MI with COVID-19 have an increased 30-day mortality. Efforts should be focused on infection prevention and implementation of optimal management to improve the outcomes in those patients.

Impact of Arterial Hypertension and Use of Antihypertensive Pharmacotherapy on Mortality in Patients Hospitalized due to COVID-19: The CRACoV-HHS Study.

BACKGROUND: Cardiovascular diseases including arterial hypertension are common comorbidities among patients hospitalized due to COVID-19. We assessed the influence of preexisting hypertension and its pharmacological treatment on in-hospital mortality in patients hospitalized with COVID-19. METHODS: We studied all consecutive patients who were admitted to the University Hospital in Krakow, Poland, due to COVID-19 between March 2020 and May 2021. Data of 5191 patients (mean age 61.9±16.7 years, 45.2% female) were analyzed. RESULTS: The median hospitalization time was 14 days, and the mortality rate was 18.4%. About a quarter of patients had an established cardiovascular disease including coronary artery disease (16.6%) or stroke (7.6%). Patients with hypertension (58.3%) were older and had more comorbidities than patients without hypertension. In multivariable logistic regression analysis, age above median (64 years), male gender, history of heart failure or chronic kidney disease, and higher C-reactive protein level, but not preexisting hypertension, were independent risk factors for in-hospital death in the whole study group. Patients with hypertension already treated (n=1723) with any first-line antihypertensive drug (angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, beta-blockers, calcium channel blockers, or thiazide/thiazide-like diuretics) had a significantly lower risk of in-hospital death (odds ratio, 0.25 [95% CI, 0.2-0.3]; P<0.001) compared to nontreated hypertensives (n=1305). CONCLUSIONS: Although the diagnosis of preexisting hypertension per se had no significant impact on in-hospital mortality among patients with COVID-19, treatment with any first-line blood pressure-lowering drug had a profound beneficial effect on survival in patients with hypertension. These data support the need for antihypertensive pharmacological treatment during the COVID-19 pandemic.

Predictive performance and clinical application of COV50, a urinary proteomic biomarker in early COVID-19 infection: a prospective multicentre cohort study.

BACKGROUND: The SARS-CoV-2 pandemic is a worldwide challenge. The CRIT-CoV-U pilot study generated a urinary proteomic biomarker consisting of 50 peptides (COV50), which predicted death and disease progression from SARS-CoV-2. After the interim analysis presented for the German Government, here, we aimed to analyse the full dataset to consolidate the findings and propose potential clinical applications of this biomarker. METHODS: CRIT-CoV-U was a prospective multicentre cohort study. In eight European countries (Austria, France, Germany, Greece, North Macedonia, Poland, Spain, and Sweden), 1012 adults with PCR-confirmed COVID-19 were followed up for death and progression along the 8-point WHO scale. Capillary electrophoresis coupled with mass spectrometry was used for urinary proteomic profiling. Statistical methods included logistic regression and receiver operating characteristic curve analysis with a comparison of the area under curve (AUC) between nested models. Hospitalisation costs were derived from the care facility corresponding with the Markov chain probability of reaching WHO scores ranging from 3 to 8 and flat-rate hospitalisation costs adjusted for the gross per capita domestic product of each country. FINDINGS: From June 30 to Nov 19, 2020, 228 participants were recruited, and from April 30, 2020, to April 14, 2021, 784 participants were recruited, resulting in a total of 1012 participants. The entry WHO scores were 1-3 in 445 (44%) participants, 4-5 in 529 (52%) participants, and 6 in 38 (4%) participants; and of all participants, 119 died and 271 had disease progression. The odds ratio (OR) associated with COV50 in all 1012 participants for death was 2·44 (95% CI 2·05-2·92) unadjusted and 1·67 (1·34-2·07) when adjusted for sex, age, BMI, comorbidities, and baseline WHO score; and for disease progression, the OR was 1·79 (1·60-2·01) when unadjusted and 1·63 (1·41-1·91) when adjusted (p<0·0001 for all). The predictive accuracy of the optimised COV50 thresholds was 74·4% (71·6-77·1%) for mortality (threshold 0·47) and 67·4% (64·4-70·3%) for disease progression (threshold 0·04). When adjusted for covariables and the baseline WHO score, these thresholds improved AUCs from 0·835 to 0·853 (p=0·033) for death and from 0·697 to 0·730 (p=0·0008) for progression. Of 196 participants who received ambulatory care, 194 (99%) did not reach the 0·04 threshold. The cost reductions associated with 1 day less hospitalisation per 1000 participants were million Euro (M€) 0·887 (5-95% percentile interval 0·730-1·039) in participants at a low risk (COV50 <0·04) and M€2·098 (1·839-2·365) in participants at a high risk (COV50 ≥0·04). INTERPRETATION: The urinary proteomic COV50 marker might be predictive of adverse COVID-19 outcomes. Even in people with mild-to-moderate PCR-confirmed infections (WHO scores 1-4), the 0·04 COV50 threshold justifies earlier drug treatment, thereby potentially reducing the number of days in hospital and associated costs. FUNDING: German Federal Ministry of Health.

Characteristics, Mortality, and Clinical Outcomes of Hospitalized Patients with COVID-and Diabetes: A Reference Single-Center Cohort Study from Poland

Introduction: Diabetes is a risk factor for severe COVID-course. In this one-center report, we assessed clinical characteristics and risk factors associated with unfavorable outcomes in diabetic patients (DP) hospitalized due to COVID-19. Methods: We retrospectively analyzed data from a cohort of patients with confirmed SARS-CoV2 infection admitted to the University Hospital in Krakow (Poland) , a regional reference center for COVID-19, between March 6th 2020 and May 15th 2021. The data was collected from electronic medical records. Results: We included 5191 patients, mean age 61.98±16.66 years, 2348 (45.2%) women, 1364 (26.3%) DP. DP were older as compared to non-diabetics (median age 70 vs. 62 years, IQR 62-77 and 47-72, p<0.001) with similar gender distribution. DP were characterized by higher mortality (26.4% vs. 15.6%, p<0.001) , longer hospital stay (median 15 vs. 13 days, IQR 10-24 and 9-20, p<0.001) , more frequent ICU admission (15.7% vs. 11%, p<0.001) and more frequent requirement for mechanical ventilation (15.5% vs. 11.3%, p<0.001) . When adjusted for sex and age, the relative risk for in-hospital death, ICU admission and mechanical ventilation was 1.32 (95%CI 1.13-1.54) , 1.4 (95%CI 1.17-1.69) and 1.3 (95%CI 1.08-1.57) , respectively. Multivariable logistic regression showed age, CRP and D-dimer level, history of heart failure, and loop diuretic use were associated with higher risk of death, whereas anticoagulation therapy, ACEI/sartan/mineralocorticoid receptor antagonist use and thiazide use were associated with lower risk. Conclusions: In this large COVID-cohort, DP constituted more than one fourth of hospitalized patients. Their risk of death was ca. 30% higher as compared to non-diabetics, as was the risk of other important clinical outcomes. We identified a number of clinical, laboratory and therapeutical variables associated with risk of hospital death in DP with COVID-19.

Cardiac biomarkers on admission and in­hospital mortality in COVID-19 patients with or without concomitant heart failure.

INTRODUCTION: High­sensitivity cardiac troponin T (hs-cTnT) and N-terminal pro-B type natriuretic peptide (NT­ proBNP) are known markers of cardiac injury. However, their role in predicting the severity of COVID­19 remains to be investigated. OBJECTIVES: We aimed to analyze the association between hs­cTnT and NT-proBNP levels and in hospital mortality in patients with COVID­19, with emphasis on those with concomitant chronic heart failure (CHF). PATIENTS AND METHODS: A total of 1729 consecutive patients with COVID­19 were enrolled. Demographic data, laboratory parameters, and clinical outcomes (discharge or death) were analyzed. Receiver operating characteristic (ROC) and logistic regression analyses were performed to evaluate the association between hs­cTnT and NT-proBNP values and the risk of death. RESULTS: Evaluation of hs­cTnT was performed in 1041 patients, while NT-proBNP was assessed in 715 individuals. CHF was present in 179 cases (10.4% of the cohort). Median values of hs­cTnT and NT-proBNP and in­hospital mortality were higher in CHF patients than in those without CHF. Among patients without CHF, mortality was the highest in those with hs­cTnT or NT-proBNP values in the fourth quartile. In ROC analysis, hs­cTnT equal to or above 142 ng/l and NT-proBNP equal to or above 969 pg/ml predicted in­hospital death. In patients without CHF, each 10-ng/l increase in hs-cTnT or 100-pg/ml increase in NT­proBNP was associated with a higher risk of death (odds ratio [OR], 1.01 and OR, 1.02, respectively; P <0.01 for both). CONCLUSION: The level of hs­cTnT or NT-proBNP predicts in hospital mortality in COVID-19 patients. Both hs­cTnT and NT-proBNP should be routinely measured on admission in all patients hospitalized due to COVID­19 for early detection of individuals with an increased risk of in hospital death, even if they do not have concomitant heart failure.

Blood Pressure and Arterial Stiffness in Association With Aircraft Noise Exposure:Long-Term Observation and Potential Effect of COVID-19 Lockdown.

In a cross-sectional analysis of a case-control study in 2015, we revealed the association between increased arterial stiffness (pulse wave velocity) and aircraft noise exposure. In June 2020, we evaluated the long-term effects, and the impact of a sudden decline in noise exposure during the coronavirus disease 2019 (COVID-19) lockdown, on blood pressure and pulse wave velocity, comparing 74 participants exposed to long-term day-evening-night aircraft noise level >60 dB and 75 unexposed individuals. During the 5-year follow-up, the prevalence of hypertension increased in the exposed (42% versus 59%, P=0.048) but not in the unexposed group. The decline in noise exposure since April 2020 was accompanied with a significant decrease of noise annoyance, 24-hour systolic (121.2 versus 117.9 mm Hg; P=0.034) and diastolic (75.1 versus 72.0 mm Hg; P=0.003) blood pressure, and pulse wave velocity (10.2 versus 8.8 m/s; P=0.001) in the exposed group. Less profound decreases of these parameters were noticed in the unexposed group. Significant between group differences were observed for declines in office and night-time diastolic blood pressure and pulse wave velocity. Importantly, the difference in the reduction of pulse wave velocity between exposed and unexposed participants remained significant after adjustment for covariates (-1.49 versus -0.35 m/s; P=0.017). The observed difference in insomnia prevalence between exposed and unexposed individuals at baseline was no more significant at follow-up. Thus, long-term aircraft noise exposure may increase the prevalence of hypertension and accelerate arterial stiffening. However, even short-term noise reduction, as experienced during the COVID-19 lockdown, may reverse those unfavorable effects.

Association between cardiovascular disease, cardiovascular drug therapy, and in-hospital outcomes in patients with COVID-19: data from a large single-center registry in Poland.

BACKGROUND: The coronavirus disease 19 (COVID-19) recently became one of the leading causes of death worldwide, similar to cardiovascular disease (CVD). Coexisting CVD may influence the prognosis of patients with COVID-19. AIMS: We analyzed the impact of CVD and the use of cardiovascular drugs on the in-hospital course and mortality of patients with COVID-19. METHODS: We retrospectively studied data for consecutive patients admitted to our hospital, with COVID-19 between March 6th and October 15th, 2020. RESULTS: 1729 patients (median interquartile range age 63 [50-75] years; women 48.8%) were included. Overall, in-hospital mortality was 12.9%. The most prevalent CVD was arterial hypertension (56.1%), followed by hyperlipidemia (27.4%), diabetes mellitus (DM) (25.7%), coronary artery disease (16.8%), heart failure (HF) (10.3%), atrial fibrillation (13.5%), and stroke (8%). Angiotensin-converting enzyme inhibitors or angiotensin receptor blockers (ACEIs/ARBs) were used in 25.0% of patients, ß-blockers in 40.7%, statins in 15.6%, and antiplatelet therapy in 19.9%. Age over 65 years (odds ratio [OR], 6.4; 95% CI, 4.3-9.6), male sex (OR, 1.4; 95% CI, 1.1-2.0), pre-existing DM (OR, 1.5; 95% CI, 1.1-2.1), and HF (OR, 2.3; 95% CI, 1.5-3.5) were independent predictors of in-hospital death, whereas treatment with ACEIs/ARBs (OR, 0.4; 95% CI, 0.3-0.6), ß-blockers (OR, 0.6; 95% CI, 0.4-0.9), statins (OR, 0.5; 95% CI, 0.3-0.8), or antiplatelet therapy (OR, 0.6; 95% CI: 0.4-0.9) was associated with lower risk of death. CONCLUSIONS: Among cardiovascular risk factors and diseases, HF and DM appeared to increase in-hospital COVID-19 mortality, whereas the use of cardiovascular drugs was associated with lower mortality.