Validation of the Italian Version of the SARC-F Questionnaire to Assess Sarcopenia in Older Adults

Background: SARC-F is a simple sarcopenia screening tool. This study aimed to examine the validity of the Italian version of SARC-F. Methods: A total of 97 elderly individuals (37/60 males/females, 65 years and older) who met the study’s selection criteria were included. SARC-F was translated into the Italian language in a culturally responsive manner. The total score was calculated by adding the scores on the five items. The participants were divided into two groups according to the total score (SARC-F < 4 vs. SARC-F ≥ 4), and their associations with various factors (handgrip test, chair stand test, and Skeletal Muscle Index assessed by DXA) have been examined by gender. In addition, the tool’s validity was analyzed by comparing it with different international working group diagnostic criteria for sarcopenia. Results: The total prevalence of sarcopenia according to the SARC-F was 14.2% and, specifically, 12.8% among men and 14.3% in women. The sensitivity of the SARC-F was (male (M): 11–50% and female (F): 22–36%) medium-low compared with the European, international, and Asian criteria of sarcopenia; however, SARC-F showed a high specificity (M: 77.3–100% and F: 79.5–100%) and a moderate Cronbach’s alpha coefficient of (0.669 (CI95%: 0.358–0.830). The participants in the SARC-F ≥ 4 group had poorer handgrip for EWGSOP2 (p < 0.001) and chair stand (p < 0.001) than the participants in the SARC-F < 4 group. Conclusions: The Italian language version of SARC-F showed high specificity, moderate reliability, and good associations with other predictive tests. The Italian version of SARC-F appears to be a useful screening tool for the diagnosis of sarcopenia in Italian elderly populations.     

Can Radiotherapy Empower the Host Immune System to Counterattack Neoplastic Cells? A Systematic Review on Tumor Microenvironment Radiomodulation

Despite the rising evidence in favor of immunotherapy (IT), the treatment of oncological patients affected by so-called “cold tumors” still represents an open issue. Cold tumors are characterized by an immunosuppressive (so-called cold) tumor microenvironment (TME), which favors host immune system suppression, cancer immune-escape, and a worse response to IT. However, the TME is not a static element, but dynamically mutates and can be changed. Radiotherapy (RT) can modulate a cold microenvironment, rendering it better at tumor killing by priming the quiescent host immune system, with a consequent increase in immunotherapy response. The combination of TME radiomodulation and IT could therefore be a strategy for those patients affected by cold tumors, with limited or no response to IT. Thus, this review aims to provide an easy, rapid, and practical overview of how RT could convert the cold TME and why cold tumor radiomodulation could represent an interesting strategy in combination with IT.     

Interventricular delay interval optimization in cardiac resynchronization therapy guided by echocardiography versus guided by electrocardiographic QRS interval width

Present devices for cardiac resynchronization therapy offer the possibility of tailoring the hemodynamic effect of biventricular pacing by optimization of the interventricular delay (VV) beyond atrioventricular (AV)-interval optimization. It was not yet defined whether a QRS width-based strategy may be a helpful tool for echocardiography for device programming. The aim of the study was to investigate the relation between VV-interval optimization guided by echocardiography and guided by QRS interval width. One hundred six patients with a cardiac resynchronization therapy device for > or =3 months were enrolled. All patients underwent echocardiographic AV and VV delay optimization. The AV interval was optimized according to the E wave-A wave (EA) interval and left ventricular filling time. At the optimal AV delay, VV optimization was performed by measuring the aortic velocity time integral at 5 different settings: simultaneous right and left ventricle output, left ventricle pre-excitation (left ventricle + 40 and 80 ms, respectively), and right ventricle pre-excitation (right ventricle + 40 and 80 ms, respectively). A 12-lead electrocardiogram was recorded and QRS duration was measured in the lead with the greatest QRS width. The electrocardiographic (ECG)-optimized VV interval was defined according to the narrowest achievable QRS interval among 5 VV intervals. The echocardiographic-optimized VV interval was left ventricle + 40 ms in 28 patients, left ventricle + 80 ms in 15 patients, simultaneous in 46 patients, right ventricle + 40 ms in 14 patients, and right ventricle + 80 ms in 3 patients. Significant concordance (kappa = 0.69, p <0.001) was found between the echocardiographic- and ECG-optimized VV interval. In conclusion, significant concordance appeared to exist during biventricular pacing between VV programming based on the shortest QRS interval at 12-lead ECG pacing and echocardiographic-guided VV-interval optimization. A combined ECG- and echocardiographic approach could be a less time-consuming solution in performing this operation.