Purpose: Older adults should be routinely screened for sarcopenia, which threatens healthy, independent aging. The most popular screening tool is the SARC-F questionnaire. As its sensitivity is unsatisfactory, two modified versions of the questionnaire have been published: SARC-CalF (including calf circumference as an additional item) and SARC-F+EBM (assessing additionally age and Body Mass Index). The diagnostic performance of the three versions of the questionnaire has not been compared. The analysis aimed to assess the diagnostic value of SARC-F, SARC-CalF, and SARC-F+EBM questionnaires, and to compare their psychometric properties against two reference standards of sarcopenia diagnosis, ie, EWGSOP1 and modified EWGSOP2 criteria. Materials and Methods: We performed the sensitivity/specificity analysis and compared the overall diagnostic accuracy of SARC-F, SARC-CalF (31cm) (cut-off point 31 cm for both genders), SARC-CalF (33/34cm) (cut-off points: 33 cm for women and 34 cm for men), and SARC-F+EBM in 115 community-dwelling volunteers aged ≥ 65 yrs from Poland. Results: Depending on the version of the SARC-F questionnaire used, from 10.4% [SARC-CalF (31cm)] to 33.0% (SARC-F+EBM) were identified as having an increased risk of sarcopenia. Sarcopenia was identified in 17.4% by the EWGSOP1 criteria and in 13.9% by the modified EWGSOP2 criteria. With respect to the two reference standards used, the sensitivity of SARC-F, SARC-CalF (31cm), SARC-CalF (33/34cm), and SARC-F+EBM ranged 30.0– 37.5%, 35.0– 37.5%, 60.0– 62.5%, 55.0% (the same value for both reference standards), respectively. The specificity ranged 85.3– 85.9%, 93.9– 94.7%, 88.4– 86.9%, 70.7– 71.6%, respectively. The AUC of SARC-F, SARC-CalF (31cm), SARC-CalF (33/34cm) and SARC-F+EBM ranged 0.644– 0.693, 0.737– 0.783, 0.767– 0.804, 0.714– 0.715, respectively. Conclusion: The modified versions of SARC-F have better diagnostic performance as compared to the original questionnaire. Since an ideal screening tool should have reasonably high sensitivity and specificity, and an AUC value above 0.7, the SARC-CalF (33/34cm) seems to be the best screening tool for sarcopenia in community-dwelling older adults.

Purpose: Sarcopenia is associated with adverse outcomes in elderly persons, including functional disability, falls, and even death. Therefore, older adults should be routinely screened for sarcopenia. Due to the unsatisfactory sensitivity of the SARC-F questionnaire, four modified versions have been elaborated: SARC-CalF, SARC-F+EBM, SARC-F+AC, and SARC-CalF+AC. The diagnostic performance of the four modifications of SARC-F has yet to be compared. Materials and Methods: We performed the sensitivity/specificity analysis and compared the overall diagnostic accuracy of the five questionnaires in 260 community-dwelling volunteers aged ≥ 60 yrs from Poland. The study was performed against three reference standards: the European Working Group on Sarcopenia in Older People (EWGSOP1), EWGSOP2, and modified EWGSOP2 criteria. Results: The prevalence of sarcopenia based on these criteria was 20.8%, 11.2%, and 17.3%, respectively. Concerning the three reference standards, the sensitivity of SARC-F, SARC-CalF, SARC-F+EBM, SARC-F+AC, and SARC-CalF+AC ranged from 31.5– 44.8%, 57.4– 65.5%, 48.1– 62.1%, 71.4– 79.2% and 71.4– 79.2%, respectively. The specificity ranged from 86.6– 87.4%, 86.1– 90.3%, 82.3– 84.0%, 69.4– 78.2%, and 72.1– 79.7%, respectively. The AUCs of SARC-F, SARC-CalF, SARC-F+EBM, SARC-F+AC, and SARC-CalF+AC ranged from 0.643– 0.700, 0.757– 0.792, 0.740– 0.775, 0.767– 0.812 and 0.771– 0.852, respectively. Conclusion: The SARC-F questionnaire has low diagnostic accuracy, which limits its usefulness as a sarcopenia screening tool. Incorporating two simple anthropometric measurements, ie, arm and calf circumference, notably improves the diagnostic performance of SARC-F. Based on our results, SARC-CalF+AC seems to be the best screening tool for sarcopenia screening in community-dwelling older adults.

Purpose: Changes in nutritional status are important extrapulmonary manifestations of the chronic obstructive pulmonary disease (COPD). The study aimed to assess the prevalence of different body composition phenotypes in older patients with COPD and to investigate the relationship between these phenotypes and the severity of the disease, as well as physical performance of the subjects.Patients and methods: The study included 124 subjects aged ≥60 with COPD. In all of them body composition analysis and muscle strength measurement were performed. Additionally, data from patients’ medical records were analyzed. Study sample was divided into four groups based on the phenotypic body composition: normal phenotype (N), sarcopenia, obesity and sarcopenic obesity (SO).Results: Incidence of sarcopenia was significantly higher in patients with severe or very severe COPD based on GOLD in comparison with subjects with mild or moderate obstruction (p = 0.043). Participants with sarcopenia, obesity and SO had lower results of the 6-min walk test than subjects with N (225.77 m, 275.33 m, 350.67 m, 403.56 m, respectively). Moreover, sarcopenia and SO had lower results than obesity (p = 0.001, p = 0.041, respectively).Conclusion: Sarcopenia is common in patients with advanced COPD. Sarcopenia and SO are associated with poorer physical performance. All older people with COPD should routinely have their body composition assessed, instead of simply measuring of body weight or body mass index (BMI).

Background: Malnutrition is an often-overlooked yet potentially crucial factor influencing COVID-19 outcomes. Poor nutritional status weakens immune function, increases infection susceptibility, and worsens prognoses in hospitalized patients. However, its specific role in COVID-19 mortality remains insufficiently characterized. The aim of the study was to assess the impact of malnutrition, as determined by the Nutritional Risk Score (NRS-2002), on in-hospital mortality. Methods: This retrospective, single-center study analyzed 222 patients hospitalized with COVID-19 during the Delta variant predominance. Thirty-one patients died during hospitalization. Malnutrition (NRS ≥ 3) emerged as a strong predictor of in-hospital mortality in univariate Cox proportional hazard models, both before and after adjustment for potential confounders. Adjusted analyses used 10 different sets of three out of five mortality-related variables. Results: Hazard ratios for malnutrition ranged from 3.19 to 5.88 (p < 0.01 for all models), highlighting its substantial impact on mortality risk. The high Nagelkerke’s R² values (0.66–0.77) indicate that the models explained a significant proportion of mortality variance. Nutritional status plays a critical role in COVID-19 survival among hospitalized patients. Conclusions: Given its simplicity and effectiveness, integrating the NRS-2002 into routine clinical assessments may help identify high-risk patients early. Future research should explore whether early nutritional interventions can mitigate the mortality risks associated with malnutrition in severe COVID-19 cases or patients with other infectious diseases or acute inflammation.

Introduction: Older individuals are at risk of malnutrition resulting from chronic diseases-related body and muscle mass reduction. In turn, nutritional deficiencies may enhance catabolic processes, leading to accelerated aging and comorbidity, thus creating a vicious cycle. Our study aimed to assess the prevalence of malnutrition using the Global Leadership Initiative on Malnutrition (GLIM) criteria and to determine the health correlates of malnutrition in a representative sample of community-dwelling older adults. Methods: We used the GLIM criteria to diagnose malnutrition in 5,614 participants of the PolSenior2 study. The PolSenior2 study was a population-based survey designed to assess the medical, psychological, social, and economic characteristics of community-dwelling older adults. Results: Malnutrition was diagnosed in 13.4% of the participants using the GLIM criteria. Results of multiple logistic regression showed that the risk of depression [OR 4.18, p<0.001], peptic ulcer disease [OR 2.73, p<0.001], past stroke [OR 1.71, p<0.001], cognitive impairment [OR 1.34, p = 0.015], and chronic pain [OR 1.23, p = 0.046] were independent correlates of malnutrition. Conclusion: Due to the high risk of malnutrition, special attention should be paid to individuals in late old age. Suspected malnutrition should also be considered in people at risk of depression, with peptic ulcer disease, past stroke, and cognitive impairment. Chronic pain should also prompt the diagnosis for malnutrition.

Background: Malnutrition and its risk are prevalent in older adults and contribute to frailty, morbidity, and mortality. Poor oral health—particularly tooth loss and inadequate prosthetic rehabilitation—may impair chewing, limit dietary variety, and accelerate nutritional decline. We investigated associations between dentition status, denture use, and nutritional status in a nationally representative sample of Polish older adults. Methods: We analyzed data from 5214 participants aged ≥60 years from the nationwide cross-sectional PolSenior2 study. Dentition status was classified as functional dentition (≥20 teeth), partial dentition (1–19 teeth), or edentulism (0 teeth). Nutritional status was assessed using the Mini Nutritional Assessment—Short Form (MNA-SF); impaired nutritional status was defined as MNA-SF <12 (malnourished or at risk). Additional indicators included hypoalbuminemia (<35 g/L) and small calf circumference (<31 cm). Associations were tested using chi-square and multivariable logistic regression adjusted for age, sex, education, and place of residence. Results: Functional dentition was present in 15.5%, partial dentition in 48.1%, and edentulism in 36.4% of participants. The proportion of edentulous individuals increased across worsening MNA-SF categories (26.2% in well-nourished, 41.8% in at risk, 46.9% in malnourished). In adjusted models, edentulism was associated with higher odds of impaired nutritional status compared with functional dentition (OR: 1.66; 95% CI: 1.32–2.10; p < 0.001), while partial dentition showed a non-significant trend (OR: 1.22; 95% CI: 0.98–1.52; p = 0.077). Among edentulous participants, denture use was more common in well-nourished individuals than in those with impaired nutritional status (93.0% vs. 77.2%), suggesting a possible association between active prosthetic rehabilitation and better nutritional status. Conclusions: In Polish older adults, tooth loss—particularly edentulism—is associated with poorer nutritional status. Screening for malnutrition risk may benefit from incorporating basic oral health and denture-use assessment while improved access to prosthetic rehabilitation may support nutritional resilience in ageing populations.