Search

Objectives: We aimed to assess associations between depressive symptoms, lifestyle, and somatic symptoms during the COVID-19 pandemic. Design: A prospective, observational study using a self-designed questionnaire. Setting: Three general practitioners' (GP) offices in rural Germany. Participants: 271 adult patients without manifest cardiovascular or pulmonary disease with (n = 82) and without (n = 189) hypertension reporting to our GP offices. Main outcome measures: The reported increase of depressive symptoms (loneliness, sleeplessness, joylessness, listlessness) prior to the first documented case in Germany on 27.01.2020 (t0) as opposed to patients' health perception during the Corona pandemic (t1) was the primary outcome measure. The secondary outcome measures were changes in physical activity (PA), dyspnea and angina in the two groups. Results: Out of 271 patients (50.8 ± 16.8 years, 55.1% females), 1.5% were tested positive for COVID-19. Overall, listlessness (8.5%, p = 0.001), sleeplessness (5.2%, p = 0.001) and joylessness (4.2%, p = 0.003) were increased. Dyspnea significantly increased (9.2%, p < 0.001) and employment status worsened (6.5%, p < 0.001). There were significant associations between the increase of depressive symptoms, weight increase (p = 0.017), and reduction in physical activity (p = 0.046). However, after adjusting for age, hypertensive patients did not show more depressive symptoms (p = 0.704), dyspnea (p = 0.063) or angina (p = 0.432), nor was there any difference in PA (p = 0.906) compared to healthy individuals. Conclusions: We demonstrate an association between the deterioration of depressive symptoms, weight gain, and reduced physical activity during COVID-19, both in hypertensives and healthy controls. Hypertension is no driver of symptom deterioration during the pandemic. The trial was registered in the German Clinical Trials Registry (DRKS00022157). [ABSTRACT FROM AUTHOR]

Objective: Right heart catheterization (RHC) is associated with a higher procedural risk in older adults, but non-invasive estimation of pulmonary hypertension (PH) is a challenge. We aimed to elaborate a non-invasive prediction model to estimate PH. Methods and design: We retrospectively analysed 134 older adults (70.0 years ±12.3; 44.9% males) who reported to our clinic with unclear dyspnea between 01/2015 and 01/2020 and had received RHC as a part of their diagnostic workup. Lung function testing, analysis of blood gas samples, 6 min walk distance and echocardiography were performed within 24 hours of RHC. Main outcome measures: In a stepwise statistical approach by using an in/exclusion algorithm (using the AIC criterion) we analysed non-invasive parameters to test their value in predicting PH (defined as mean pulmonary artery pressure, PAmean, >25mmHg). Discrimination capability of the final model was measured by the AUC (area under curve) from an ROC (receiver operating characteristics) analysis. Results: We yielded a sensitivity of 87.2% and a specificity of 62.5% in a combinatorial logistical model with systolic pulmonary artery pressure (sPAP) and forced vital capacity (VCmax), the discrimination index was 86.7%. The odds ratios for an increase of 10 mmHg of sPAP were 2.99 (2.08–4.65) and 1.86 (1.11–3.21) for a 1 l decrease in VCmax. On their own, VCmax proved to be specific (83.3%), while sPAP was a sensitive (79.1%) predictor for PH. Conclusions: We provide a combinatorial model to predict PH from sPAP and VCmax in older adults, which may help to avoid invasive procedures. [ABSTRACT FROM AUTHOR]

Objective: Right heart catheterization (RHC) is associated with a higher procedural risk in older adults, but non-invasive estimation of pulmonary hypertension (PH) is a challenge. We aimed to elaborate a non-invasive prediction model to estimate PH. Methods and design: We retrospectively analysed 134 older adults (70.0 years ±12.3; 44.9% males) who reported to our clinic with unclear dyspnea between 01/2015 and 01/2020 and had received RHC as a part of their diagnostic workup. Lung function testing, analysis of blood gas samples, 6 min walk distance and echocardiography were performed within 24 hours of RHC. Main outcome measures: In a stepwise statistical approach by using an in/exclusion algorithm (using the AIC criterion) we analysed non-invasive parameters to test their value in predicting PH (defined as mean pulmonary artery pressure, PAmean, >25mmHg). Discrimination capability of the final model was measured by the AUC (area under curve) from an ROC (receiver operating characteristics) analysis. Results: We yielded a sensitivity of 87.2% and a specificity of 62.5% in a combinatorial logistical model with systolic pulmonary artery pressure (sPAP) and forced vital capacity (VCmax), the discrimination index was 86.7%. The odds ratios for an increase of 10 mmHg of sPAP were 2.99 (2.08–4.65) and 1.86 (1.11–3.21) for a 1 l decrease in VCmax. On their own, VCmax proved to be specific (83.3%), while sPAP was a sensitive (79.1%) predictor for PH. Conclusions: We provide a combinatorial model to predict PH from sPAP and VCmax in older adults, which may help to avoid invasive procedures. [ABSTRACT FROM AUTHOR]