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Abstract Background The purpose of the study was to compare the results of AI (artificial intelligence) analysis of the extent of pulmonary lesions on HRCT (high resolution computed tomography) images in COVID-19 pneumonia, with clinical data including laboratory markers of inflammation, to verify whether AI HRCT assessment can predict the clinical severity of COVID-19 pneumonia. Methods The analyzed group consisted of 388 patients with COVID-19 pneumonia, with automatically analyzed HRCT parameters of volume: AIV (absolute inflammation), AGV (absolute ground glass), ACV (absolute consolidation), PIV (percentage inflammation), PGV (percentage ground glass), PCV (percentage consolidation). Clinical data included: age, sex, admission parameters: respiratory rate, oxygen saturation, CRP (C-reactive protein), IL6 (interleukin 6), IG - immature granulocytes, WBC (white blood count), neutrophil count, lymphocyte count, serum ferritin, LDH (lactate dehydrogenase), NIH (National Institute of Health) severity score; parameters of clinical course: in-hospital death, transfer to the ICU (intensive care unit), length of hospital stay. Results The highest correlation coefficients were found for PGV, PIV, with LDH (respectively 0.65, 0.64); PIV, PGV, with oxygen saturation (respectively − 0.53, -0.52); AIV, AGV, with CRP (respectively 0.48, 0.46); AGV, AIV, with ferritin (respectively 0.46, 0.45). Patients with critical pneumonia had significantly lower oxygen saturation, and higher levels of immune-inflammatory biomarkers on admission. The radiological parameters of lung involvement proved to be strong predictors of transfer to the ICU (in particular, PGV ≥ cut-off point 29% with Odds Ratio (OR): 7.53) and in-hospital death (in particular: AIV ≥ cut-off point 831 cm3 with OR: 4.31). Conclusions Automatic analysis of HRCT images by AI may be a valuable method for predicting the severity of COVID-19 pneumonia. The radiological parameters of lung involvement correlate with laboratory markers of inflammation, and are strong predictors of transfer to the ICU and in-hospital death from COVID-19. Trial registration National Center for Research and Development CRACoV-HHS project, contract number SZPITALE-JEDNOIMIENNE/18/2020.

Abstract Background COVID-19 has affected older persons the most. The propensity to have severe COVID-19 or die of the infection was especially prevalent among older subjects with multimorbidity, frailty and sarcopenia. The aim of our study was to check which of the simple clinical biomarkers, including the assessment of muscle and frailty, would associate with the survival and the length of hospital stay in older patients with COVID-19. An additional aim was to report the influence of chronic diseases, chronic medication use, and COVID-19 signs and symptoms on the aforementioned outcome measures. Methods The CRACoV study was a prospective single-center (University Hospital in Krakow, Krakow, Poland) observational study of clinical outcomes in symptomatic COVID-19 patients that required hospital treatment. We analysed data of persons aged ≥ 65 years. We assessed muscular parameters in accordance with EWGSOP2, frailty with the Rockwood Clinical Frailty Scale. We used the data of the initial and 3-month assessment. Demographic characteristics, past medical history, and baseline laboratory values were gathered as a part of routine care. We calculated sex and age, and additionally number-of-diseases adjusted odds ratios of mortality associated with studied factors and betas of the relation with these factors and the length of hospital stay. Results The mean (standard deviation, SD) age of 163 participants (44.8% women, 14.8% died) was 71.8 (5.6) years, age range 65–89 years. One score greater SARC-F was associated with 34% (p = 0.003) greater risk of death, and 16.8 h longer hospital stay (p = 0.01). One score greater Rockwood was associated with 86% (p = 0.002) greater risk of death, but was unrelated to the length of hospital stay. Hand grip strength and dynapenia were unrelated to mortality, but dynapenia was related to longer hospital stay. Probable sarcopenia was associated with 441% (p = 0.01) greater risk of death. Conclusions In conclusion, the patient assessment with SARC-F and the Rockwood Clinical Frailty Scale may significantly improve the prediction of outcomes in older patients with COVID-19 and by extension might be of use in other acute severe infections. This, however, requires further research to confirm.

Abstract Background Numerous medications should be avoided, or require dose adjustment in subjects with impaired kidney function. We aimed to assess the prevalence of potentially inappropriate use of renal risk drugs in a nation-wide, community-dwelling Polish older adult population. Methods We analysed regular intake of 38 medications that should be avoided, requiring dose modification, increase the risk of pre-renal kidney injury, or may cause potassium retention in subjects with moderately to severely impaired renal function in the PolSenior data base (N = 4514, mean age 76 ± 11 yrs). Kidney function was assessed with short Modification of Diet in Renal Disease formula estimated glomerular filtration rate (sMDRD) and Cockcroft-Gault creatinine clearance (CC). Results There were 855 (19%) individuals with sMDRD

Abstract Background In hospital settings, delirium affects as many as 50% of older patients, aggravating their symptoms and worsening their condition, and therefore increasing the risk of in-hospital complications and death. The aim of this study is to assess the efficacy of structured, non-pharmacological care, delivered to older hospitalised patients by trained volunteers (students of medical fields), on the reduction of incidence of adverse health-related outcomes. Methods/design This trial will be a randomised, investigator-blind, controlled trial conducted in an internal medicine and geriatric ward in Poland. We aim to include 416 patients who are 70 years of age and have been hospitalised for medical reasons. Eligible patients will be randomised 1:1 to receive structured, non-pharmacological care delivered by students of medicine, psychology and nursing, together with standard medical treatment or standard medical care alone. The protocol of interventions has been designed to cover nine main risk factors for delirium, with the scope of multidisciplinary interventions being individualised and tailored. The protocol will be aimed at immobilisation, vision and hearing impairment, cognitive impairment and disorientation, stress and anxiety, sleep–wake cycle disturbances, dehydration and malnutrition, and pain. A structured evaluation of patients’ cognition, mood, anxiety and functional performance is planned to be carried out twice, on the day of group allocation and at discharge; structured screening assessment for delirium will be conducted daily using the Confusion Assessment Method. The primary outcome will be the incidence of delirium in hospital; secondary outcomes will be in-hospital changes in cognition, mood and anxiety, and functional status, occurrence of falls and death. Discussion Delirium prevention programmes are being introduced worldwide. A particular novelty of our project, however, is that invitations for voluntary work with older patients at risk for delirium will be addressed to medical students. With the use of the service learning method, the students will shape their attitudes, increase their knowledge and understanding of hospital care, and master competencies to work within interdisciplinary teams, which establishes the originality and practicality of the project. Trial registration Polish Science Database, 317484. Registered on 23 October 2016.

The aim of this study was to evaluate vascular and echocardiographic markers of hypertension (HT) in subjects with newly diagnosed HT before treatment started. We studied 32 patients with newly diagnosed HT without pharmacological therapy (HT group) and 31 healthy ones (control group). ABPM were performed to exclude or confirm HT. Cardiovascular risk factors and pulse wave velocity (PWV) were assessed. Measurements of left ventricle, size of left atrium and parameters of diastolic function of left ventricle were measured using echocardiography. The student’s T-test, U Mann-Whitney and Chi2 tests were used to compare differences between groups. There were no significant differences in cardiovascular risk factors (sex, age, total cholesterol level, HbA1c) between groups with exception of BMI (p