The Effect of Long-Term Proton Pump Inhibitor Use on Frailty Syndrome in Elderly Patients

Introduction. Frailty syndrome, the newest elderly health predictor, associated with higher morbidity and mortality. PPI are often used in elderly due to presence of upper gastrointestinal complaints, and relates with polypharmacy as one of the risk factor for frailty syndrome. There is no study of the relationship between long term PPI use and frailty syndrome in elderly. Methods. A case control study included subjects 60 years and above with good cognitive status. All subjects with history of hypersensitivity of PPI were excluded. Elderly who were frail based on FI-40 item were defined as cases, while individuals that were not frail were classified as control. Primary data (included frailty status) was collected on March-June 2013 by Seto E and Sumantri S, et al. Secondary data used in this current study were gathered from the primary data of previous research and from the medical record taken from geriatric and diabetic outpatient clinics Cipto Mangunkusumo Hospital. Results. There were 225 subjects collected (75 cases: 150 controls), 59,6% were female (mean age 72,14 years old, SD ± 6,4 years) and 47,1% with higher education. Lower education, divorced, poor nutrition, dependent, needed caregiver, economically insufficient, more comorbidity and poor health condition were seen in frail group. The proportion of long term PPI use were 40,9%. Long term PPI medication increased the risk of frailty syndrome (Crude OR 2,154; CI 95% 1,225-3,778; p<0,007) with adjusted OR 1,83 (CI 95% 1,02-3,37) after adjusting with nutrition and smoking variables. Conclusions. Long term use of PPI significantly increase the risk of frailty syndrome compared to the non-users

Muscle strength, not muscle mass, determines the health-related quality of life in Indonesian women with systemic lupus erythematosus

Objective No study evaluated the impact of low muscle strength and mass on the Sarcopenia-related Quality of Life (SarQoL) in women with SLE.Methods This cross-sectional study recruited 145 women with SLE consecutively; muscle strength was measured with a calibrated Jamar handheld dynamometer, muscle mass was measured with appendicular muscle mass index (Tanita MC-780 MAP body impedance analyser) and health-related quality of life with SarQoL Questionnaire. The cut-off points for low muscle strength, low muscle mass and sarcopenia were derived from the Asian Working Group on Sarcopenia 2019. Statistical analysis was conducted with a t-test for mean difference, and logistic regression was used to evaluate for low muscle strength contributing factors.Results There was a significant difference in the mean total score of SarQoL in individuals with normal compared with low muscle strength (74.36 vs 64.85; mean difference 9.50; 95% CI 2.10 to 5.33; p&lt;0.001). On the other hand, there was no difference in individuals with normal compared with low muscle mass (71.07 vs 70.79; mean difference 0.28; −5.18 to 5.74; p=0.91). After minimally adjusted with age, we found moderate-severe joint pain (B −9.280; p&lt;0.001) and low muscle strength (B −6.979; p=0.001) to be independently associated with low mean SarQoL total score.Conclusion There was a lower total SarQoL score in individuals with low muscle strength but not with low muscle mass

Diagnostic Test of a Scoring System for Frailty Syndrome in the Elderly According to Cardiovascular Health Study, Study of Osteoporotic Fracture and Comprehensive Geriatric Assessment Based Frailty Index Compared with Frailty Index 40 Items

Aim: to get a recommendation on the best frailty syndrome diagnostic tools, that will be able to be practiced on a daily setting in Indonesia. Methods: this is a cross-sectional study with diagnostic test approach, conducted to patients in the Geriatric Outpatient Clinic of Cipto Mangunkusumo National Referral Hospital on May-June 2013. Each subject underwent a frailty evaluation using CHS, SOF, FI-CGA and FI-40 scoring systems. Then, we calculate the sensitivity, specificity, PPV, NPV, LR+ and LR- of each scoring system compared to FI-40. Results: the proportion of frail, pre-frail and fit according to FI-40 are 25.3%,71% and 3.7% respectively. In terms of differentiation frail to non-frail, CHS had 41.2% sensitivity, 95% specificity, PPV 73.7%, NPV 82.7%, LR+ 8.41 and LR- 0.62. SOF scoring system had 17.6% sensitivity, 99.5% specificity, PPV 92.3%, NPV 78.1%, LR+ 35.2 and LR- 0.83. Furthermore FI-CGA had 8.8% sensitivity, 100% specificity, PPV 100%, NPV 76.4%, LR+ ∞ and LR- 0.91. Conclusion: There is no better scoring system that could be implemented to screen for frailty syndrome other than FI-40 items. However, other scoring systems could be used as a good diagnostic tool for the syndrome. Key words: elderly patient, frailty syndrome, CHS index, SOF index, FI-CGA, FI-40