R.B SINGH

and 12 more

Chronic heart failure (CHF) has different stages and they include pre-HF (PHF), a state of high risk of developing myocardial dysfunction and subsequently, advanced CHF (ACHF). Some major behavioral risk factors of PHF are Western diet, tobacco, alcoholism, sedentary life style and chronic mental disorders (anxiety, depression). These insults might predispose to biological risk factors such as obesity, diabetes mellitus dyslipidemia hypertension, myocardial infarction and cardiomyopathy. These risk factors damage the myocytes leading to fibrosis, apoptosis, cardiac hypertrophy, along with alterations in cardiomyocyte’ size and shape. A condition of physiological subcellular remodeling resulting into a pathological or deformation state might be developed conductiong to PHF. Both PHF and HF are associated with the activation of phospholipases and protease, mitochondrial dysfunction, oxidative stress and development of intracellular free Ca2+ [Ca2+]i overloading or an elevation in diastolic [Ca2+]i. Simultaneously, cardiac gene expression is activated leading to further molecular, structural and biochemical changes of the myocardium. The sub-cellular remodeling may be intimately involved in the transition of cardiac hypertrophy to heart failure. Two-dimensional (2D) and three-dimensional (3D) speckle tracking-echocardiography (STE) have been used to quantify regional alterations of longitudinal strain and area strain, through their polar projection, which permits a further assessment of both sites and degrees of myocardial damage. The examination of strain can identify sub-clinical cardiac dysfunction or cardiomyocyte remodeling. It is concluded that during remodeling of the myocardium, cardiac strain is attenuated which can be used for the assessment of disease progression and subsequently for therapeutic interventions.

Silvia Accordino

and 5 more

Background: The early detection of COVID-19 patients with interstitial pneumonia at high risk of dismal outcome is necessary to deliver proper care and optimize management of limited resources. Objective: The aim of this study was to analyse the performance of pre-existing scores in predicting in-hospital mortality and ICU transfer at admission in an Acute Medical Unit. Methods: 106 consecutive patients with acute respiratory failure due to COVID-19 interstitial pneumoni admitted to Acute Medical Unit were enrolled. The performances of NEWS, SIRS, RAPS, REMS, qSOFA, APACHE II, CURB-65 and PSI were analysed by the Area Under the Receiver Operator Characteristic (AUROCs) and standard indices of accuracy. Results: Considering in-hospital mortality PSI and APACHE II had the higher AUROCs, 0.83 (95% CI 0.75-0.91) and 0.80 (95% CI 0.71-0.88), followed by REMS, 0.77 (95% CI 0.67-0.86), and CURB-65, 0.73 (95% CI 0.63-0.82), whereas the AUROCs of the other scores were < 0.7. PSI and APACHE II had good sensitivity (0.92 and 0.97), negative predictive value (0.96 and 0.97) and negative likelihood ratio (0.1 and 0.1), accurately identifying patients at low risk to die. However, the low specificity (0.70 and 0.47) and positive likelihood ratio (3.1 and 1.8) could limit their usefulness in predicting in-hospital mortality. Considering ICU admissions all the scores, except NEWS, SIRS and qSOFA, showed a worse performance. Conclusions: PSI and APACHE II showed good prognostic results in predicting in-hospital mortality but no pre- existing score validated for acute care settings was totally satisfactory to predict adverse outcomes in COVID-19 interstitial pneumonia after admission to Acute Medical Unit. The application setting and selected outcome criteria should always be considered to evaluate and compare scoring systems’ performance analysis.