Evaluation of the SARC-F Questionnaire as a Diagnostic Tool for Sarcopenia in Geriatric Age-group in India.

INTRODUCTION: With medical science advancing in leaps and bounds, average lifespan is now trending upward, and we are now facing an increasing prevalence of diseases of the elderly, sarcopenia being one of them. Unfortunately, sarcopenia, especially in India, remains to be frequently overlooked, underdiagnosed, and largely understudied. One of the greatest hindrances to the diagnosis of sarcopenia is high costs and limited availability of diagnostic modalities such as magnetic resonance imaging (MRI) and dual energy X-ray absorptiometry (DEXA) scan. Accessible, feasible, and affordable means to diagnose sarcopenia is thus the need of the hour. MATERIALS AND METHODS: We performed a cross-sectional observational study among 300 patients aged 65 years or above (including both outpatient and inpatient departments) at MM Institute of Medical Sciences, Mullana between June 2021 and June 2022. Patients were evaluated as per the European Working Group for Sarcopenia in Older People (EWGSOP) algorithm using bioelectrical impedance analysis (BIA) and the results were compared with results of the SARC-F questionnaire. Statistical analyses were then carried out using IBM Statistical Package for the Social Sciences (SPSS) Statistics version 26. RESULTS: Out of 300 patients, 56 (18.7%) were sarcopenic. Sarcopenia showed no significant association with sex (p = 0.74). SARC-F showed a sensitivity of 73.2% and a specificity of 37.3% with a positive predictive value of 86.51% and a negative predictive value of 32.84% in diagnosing sarcopenia. SARC-F showed good internal reliability with a Cronbach's α > 0.7. CONCLUSION: The SARC-F questionnaire can be used as a bedside screening tool for sarcopenia, especially in a developing country like India where diagnostic resources are frequently scarce.

ECG Changes in Young Healthy Smokers: A Simple and Cost-Effective Method to Assess Cardiovascular Risk According to Pack-Years of Smoking.

OBJECTIVE: To document the prevalence of ECG abnormalities in young healthy smokers and compare ECG changes in smokers, young healthy non-smokers and amongst smokers with different pack years. METHODS: This was a prospective case-control study consisting of 200 young healthy male and female individuals, 150 smokers and 50 non-smokers between ages 25-40 years, further categorized and compared according to age, sex and pack years of smoking. The ECG recordings were analyzed for different ECG parameters like heart rate, P-wave duration, P-wave amplitude, PR interval, QRS duration, RR-interval, ST-segment duration, QT interval and QTc interval. The results were compared using statistical tools. RESULTS: In present study abnormalities in ECG parameters were significantly more prevalent in smokers as compared to non-smokers (56.66 % Vs 6.00 %) (p <.0001). Heart rate and QTc-interval increased with increase in the number of pack-years. This increase was reflected more in female with a similar number of pack years. P-wave amplitude tended to increase with increase in the number of pack years more so in males. P-wave duration, PR-interval, QRS-duration and RR-interval tended to decrease with increase in the number of pack years more so in females with similar number of pack years. QT-interval and ST-segment duration tended to decrease with increase in the number of pack years more so in males. CONCLUSIONS: ECG abnormalities in this study indicate cardiovascular risk in term of cardiac arrhythmia, pulmonary arterial hypertension, heart blocks etc in such subjects. As this procedure is non-invasive and cost effective it is potentially an effective and yet a simple method for cardiovascular risk evaluation in smokers. Furthermore, such ECG abnormalities may guide the clinician for risk evaluation in smokers and may be used to convince the smokers to quit smoking.