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Abstrak :
This book is designed to summarize unique methodological issues relevant to the study of aging, biomarkers of aging and the biology/physiology of aging and in-depth discussions of the etiology and epidemiology of common geriatric syndromes and diseases. Contributing authors in the book represent many disciplines, not only epidemiology and clinical geriatrics, but also demography, health services, research, cardiovascular disease, diabetes, psychiatry, neurology, social services, musculoskeletal diseases and cancer.

Abstrak :
Tesis ini bertujuan untuk mengetahui nilai titik potong tes SPPB sebagai tes performa fisik dalam mendiagnosa sarkopenia pada pasien lanjut usia di rawat jalan. Selain itu juga untuk mengetahui nilai sensitivitas dan spesifisitas tes SPPB berdasarkan kecepatan jalan 6 meter untuk estimasi performa fisik sebagai komponen sarkopenia. Penelitian ini merupakan studi potong lintang pada pasien lanjut usia rawat jalan di RSUPN Ciptomangunkusumo. Pada penelitian ini didapatkan 100 subjek yang diminta melakukan uji SPPB, uji kecepatan jalan 6 meter, uji penilaian massa otot dengan BIA (Bio Impedance Analysis), dan penilaian kekuatan otot dengan menggunakan handgrip dynamometer. Dari hasil penilaian didapatkan nilai titik potong 7 untuk populasi total dan populasi perempuan. Sedangkan untuk populasi laki laki didapatakan nilai 8. Setelah didapatkan titik potong baru, dilakukan uji diagnostik antara nilai SPPB titik potong baru dengan status performa fisik menurun berdasarkan kecepatan jalan 6 meter. Dari penilaian didapatkan sensitivitas 81.5% dan spesifisitas 73.7% untuk populasi total. Pada populasi perempuan didapatkan sensitivitas 81.4% dan spesifisitas 66.7%. Sedangkan untuk populasi laki laki menggunakan titik potong 8 didapatkan sensitivitas 81.8% dan spesifisitas 71.4%. Kesimpulan penelitian ini adalah SPPB dengan nilai titik potong 7 untuk populasi perempuan dan 8 untuk populasi laki laki baik dipakai sebagai alat uji untuk screening dan diagnostik performa fisik sebagai komponen sarkopenia rawat jalan. ......This thesis aims to determine the cut-off point of the SPPB test as a physical performance test in diagnosing sarcopenia in elderly patients on an outpatient basis. In addition, to determine the sensitivity and specificity of the SPPB test based on a walking speed of 6 meters to estimate physical performance as a component of sarcopenia. This study is a cross-sectional study of elderly outpatients at Ciptomangunkusumo General Hospital. In this study, 100 subjects were asked to perform the SPPB test, 6 meter walking speed test, muscle mass assessment test using BIA (Bio Impedance Analysis), and muscle strength assessment using a handgrip dynamometer. From the results of the assessment, it was found that the cut-off point was 7 for the total population and the female population. As for the male population, a score of cut oof point is 8. After obtaining a new cut-off point, a diagnostic test was conducted between the SPPB value of the new cut-off point and the decreased physical performance status based on a 6-metre walking speed. From the assessment, sensitivity was 81.5% and specificity was 73.7% for the total population. In the female population, sensitivity was 81.4% and specificity was 66.7%. Meanwhile, for the male population using the 8 cut-off point, the sensitivity was 81.8% and the specificity was 71.4%.The conclusion of this study is that the SPPB with a cutoff value of 7 for the female population and 8 for the male population can be used as a test tool for screening and diagnostic of physical performance as a component of outpatient sarcopenia.

Abstrak :
Latar belakang: Pengkajian Paripurna Pasien Geriatri (P3G) bermanfaat dalam pelayanan pasien lanjut usia. Domain yang sering dinilai adalah status fungsional, disabilitas, status nutrisi, dan kognitif. Namun, pengerjaan P3G membutuhkan waktu yang lebih lama, sehingga dikembangkan bentuk singkat P3G, di antaranya Geriatric 8 (G8). Belum ada publikasi mengenai kesahihan, keandalan, dan performa diagnosis G8 pada populasi umum lansia di Indonesia. Tujuan: mengetahui kesahihan, keandalan, dan performa diagnostik G8. Metode: Penelitian ini merupakan penelitian potong lintang yang dilakukan di Poli Geriatri RSCM. Dilakukan pemeriksaan G8 dan P3G terhadap pasien yang memenuhi kriteria seleksi subjek penelitian, kemudian dilakukan uji kesahihan dengan mencari koefisien korelasi dan analisis kappa. Pasien dengan gangguan pada satu domain P3G dikatakan gangguan P3G, yaitu ADL  19, IADL  7, MoCA-INA  25, MNA < 24, atau timed up and go  10 detik. Hasil: terdapat 80 orang subjek penelitian dengan rerata usia 73,68 tahun, Interrater dan intrarater concordance masing-masing adalah 1 dan 0,904 (p<0,005). Interclass corelation coefficient berkisar antara 0,77 (0,412 – 0,913) sampai dengan 1 (1 – 1). Didapatkan nilai Cronbach 0,697. Titik potong acuan yang digunakan 14,25 menunjukkan sensitivitas 70,27 (58,82 – 80,34), spesifisitas 83,33 (35,88 – 99,58), dengan AUC 0,846 (p<0,005), IK95% 0,667- 1,0) Simpulan: G8 cukup sahih dan memiliki keandalan yang baik sebagai instrumen penapisan pasien rawat. Titik potong G8 yang disarankan adalah 14,5 sehingga pasien dengan skor lebih rendah disarankan untuk menjalani pemeriksaan P3G lengkap. ......Background: Comprehensive geriatric assessment (CGA) has been proved to be beneficial for older adults care. Domains that usually assessed in CGA are functional status, disability, cognitive function, and nutrtion status. However, CGA takes more time to complete, hence shorter versions of CGA were developed, including Geriatric 8 (G8). G8 was developed to screen older adults with cancer who would benefit the complete CGA. There was no publication regarding validity, reliability, and diagnostic performance of G8 for general population of older adults in Indonesia. Objective: This study aimed to evaluate validity, reliability, and diagnostic performance of G8 in older adults. Methods: This is a cross-sectional study conducted in Geriatric Clinic of Cipto Mangunkusumo National Hospital. Both CGA and G8 were performed, concordance between these tests were analyzed to determine validity, reliability, and diagnostic performance of G8. Abnormal CGA is defined by at least one abnormal CGA domain is identified, i.e ADL  19, IADL  7, GDS  5, MoCA-INA  25, MNA < 24, or timed up and go  10. Commorbidities was assessed by CIRS-G. Results: We found strong inter-rater and intra-rater condordance (kappa=1 and kappa=0.904, p<0.005, respectively). Interclass Coefficient Corelation was ranged 0.77 (0.412 – 0.913) to 1 (1 – 1). We also found acceptable Cronbach of 0.697. For diagnostic performance, the sensitivity was 70.27 (58.82 – 80.34), specificity 83.33 (35.88 – 99.58), with AUC 0.846 (p<0.005), CI95% 0.667-1.0). Conclusion: G8 screening tool is valid and reliable to be used in older adults. G8 also demonstrated good diagnostic performance. We propose 14.5 as cut off point for older adults who need full form geriatric assessment.

Abstrak :
ABSTRAK
Latar belakang: Perawatan-kembali 30 hari merupakan salah satu parameter penting yang berhubungan dengan biaya kesehatan tinggi dan outcome yang buruk, namun hal ini berpotensi dicegah. Usia lanjut merupakan kelompok yang rentan mengalami perawatan dengan karakteristik khusus yang dapat dinilai dengan pengkajian paripurna pasien geriatri (P3G). Beberapa penelitian menunjukkan komponen P3G merupakan faktor prognostik perawatan-kembali pada pasien usia lanjut sehingga dapat digunakan sebagai model prediksi perawatan-kembali 30 hari pada populasi ini. Belum ada penelitian prospektif yang khusus menilai komponen P3G sebagai model prediksi perawatan-kembali 30 hari. Tujuan: Mengembangkan model prediksi perawatan-kembali 30 hari pada pasien usia lanjut yang dirawat di bangsal medik RS Cipto Mangunkusumo. Metode: Penelitian adalah studi kohort prospektif pada 263 subjek usia >60 tahun yang diikuti hingga 30 hari pasca rawat. Data demografis dan komponen P3G dikumpulkan melalui wawancara dan rekam medik saat perawatan. Analisis kesintasan secara bivariat dan multivariat berjenjang dilakukan untuk mendapatkan hazard ratio. Dikembangkan suatu model prediksi dan persamaan fungsi hazard untuk memprediksi risiko perawatan-kembali 30 hari pasca rawat. Komponen P3G yang diukur adalah skor FRAIL (fatigue, resistance, ambulance, illness, loss of weight), Geriatric Depression Scale-15 (GDS-15), Mini nutrition Assessment short form (MNA-SF), Activity Daily Living (ADL)-Barthelindex, Cumulative illness rating scale-geriatric (CIRS-G), Zarits-4 item screening test, uji Mini Cog, dan polifarmasi. Hasil: Status nutrisi dan status depresi berhubungan secara signifikan dengan perawatan-kembali 30 hari dengan HR 2,368 (IK95%: 1,412-3,972, p=0,001) dan HR 1,627 (IK95%: 1,080-2,450, p=0,02), berurutan. Model prediksi menggunakan dua komponen tersebut memiliki AUC 0,663, Hosmer Lemeshow Goodness-of fit test 0,48, p<0,005. Probabilitas perawatan kembali 30 hari pada subjek dengan gangguan nutrisi dan depresi menggunakan persamaan fungsi Hazard adalah 79%. Simpulan: Status nutrisi dan status depresi memiliki hubungan signifikan dengan perawatan-kembali 30 hari. Model prediksi perawatan-kembali 30 hari yang menggunakan komponen ini memiliki tingkat diskriminasi tidak terlalu baik dengan performa yang baik, namun dapat dihitung menggunakan suatu persamaan cox proportional Hazard.

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ABSTRACT
associated with high costs and poor outcomes for hospitalized elderly patients. This population are vulnerable for hospital admission due to aging-related characteristics which can be assessed by comprehensive geriatrics assessment (CGA). Several studies have shown that CGA components were related to 30-day readmissions in elderly patients, on the contrary, only few studies consider these components as predictive score. Objective: To develop a prediction model for 30 days unplanned readmission in elderly patients who are treated in medical ward of Cipto Mangunkusumo Hospital. Methods: A prospective observational study followed 312 subjects aged >60 years old from admission to 30 days after discharge. Demographic data and CGA components were compeleted through interviews and medical records. Bivariate followed by stepwise multivariate survival analysis was used. Then, a prediction score and a hazard functional equation were developed to predict the risk of 30 days unplanned readmission. The CGA components measured were FRAIL score (fatigue, resistance, ambulance, illness, loss of weight), Geriatric Depression Scale-15 (GDS-15), Mini nutrition Assessment short form (MNA-SF), Activity Daily Living (ADL)-Barthel index, Cumulative illness rating scale-geriatric (CIRS-G), Zarits-4 item screening test, Mini Cog test, and polypharmacy. Results: Nutritional and depression status were significantly related to 30-day unplanned readmission with HR 2,368 (CI95%: 1,412-3,972, p=0,001) and HR 1,627 (CI95%: 1,080-2,450, p=0,02), respectively. Prediction model using these two components had AUC 0,663, Hosmer Lemeshow Goodness-of-fit test 0,48, p<0.005. Probability for readmission in a patient with nutritional and depression problem on the 30th days after discharge using functional hazard equation was 79%. Conclusion: Nutritional and depression status have significant relationship with 30-day unplanned readmision. The prediction model had moderate level of discrimination but good calibration. Also, a cox proportional hazard equation can be calculated as an alternative.

Abstrak :
Latar Belakang: Pendekatan indeks frailty 40 item (FI-40) dianggap sebagai alat terbaik untuk evaluasi mortalitas dan hospitalisasi sindrom frailty, tetapi sulit diterapkan dalam praktik klinis sehari-hari. Pendekatan dengan sistem skor CHS, SOF, dan FI-CGA lebih mudah diterapkan dalam praktik klinis sehari-hari, namun hingga saat ini belum ada data validasi di Indonesia. Tujuan: Mendapatkan rekomendasi mengenai alat ukur sindrom frailty yang mudah diterapkan dalam praktik klinis sehari-hari di Indonesia. Metode: Penelitian ini merupakan studi potong lintang dengan pendekatan uji diagnostik yang dilakukan pada pasien di poliklinik Geriatri Rumah Sakit Cipto Mangunkusumo, dengan usia ≥60 tahun, pada periode Mei-Juni 2013. Setiap subjek dinilai menggunakan sistem skor CHS, SOF, FI-CGA, dan FI-40. Dilakukan penilaian sensitivitas, spesifisitas, nilai prediksi positif (NPP), nilai prediksi negatif (NPN), rasio kemungkinan positif (RK+), dan rasio kemungkinan negatif (RK-) untuk masing-masing sistem skor CHS, SOF, dan FI-CGA dibandingkan dengan FI-40. Hasil: Proporsi individu yang termasuk dalam kategori frail, pre-frail, dan fit berdasarkan indeks frailty 40 item berturut-turut adalah 25,3%, 71%, dan 3,7%. Untuk membedakan individu frail dengan tidak frail, skor CHS memiliki sensitivitas 41,2%, spesifisitas 95%, NPP 73,7%, NPN 82,7%, RK+ 8,41 dan RK- 0,62. Skor SOF memiliki sensitivitas 17,6%, spesifisitas 99,5%, NPP 92,3%, NPN 78,1%, RK+ 35,2 dan RK- 0,83. Sedangkan skor FI-CGA memiliki sensitivitas 8,8%, spesifisitas 100%, NPP 100%, NPN 76,4%, RK+ tak terbatas, dan RK- 0,91. Kesimpulan: Tidak ada sistem skor yang dapat digunakan sebagai alat skrining yang baik untuk sindrom frailty, namun masing-masing sistem skor dapat digunakan sebagai alat diagnostik yang baik untuk sindrom frailty. ...... Background: The Frailty Index 40-item (FI-40) approach is considered the best tool for evaluating mortality and hospitalization outcomes related to frailty syndrome, although it is challenging to implement in daily clinical practice. The CHS, SOF, and FI-CGA scoring systems are easier to use in daily practice, but there is no validation data available in Indonesia. Aim: To obtain recommendations for a frailty syndrome diagnostic tool that is easy to implement in daily clinical practice in Indonesia. Methods: This was a cross-sectional study with a diagnostic test approach conducted on patients aged ≥60 years at the Geriatric Outpatient Clinic of Cipto Mangunkusumo Hospital from May to June 2013. Each subject was assessed using the CHS, SOF, FI-CGA, and FI-40 scoring systems. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (LR+), and negative likelihood ratio (LR-) were calculated for each scoring system compared to FI-40. Results: The proportions of frail, pre-frail, and robust individuals based on the 40-item frailty index were 25.3%, 71%, and 3.7%, respectively. To differentiate between frail and non-frail individuals, the CHS score showed a sensitivity of 41.2%, specificity of 95%, PPV of 73.7%, NPV of 82.7%, LR+ of 8.41, and LR- of 0.62. The SOF score showed a sensitivity of 17.6%, specificity of 99.5%, PPV of 92.3%, NPV of 78.1%, LR+ of 35.2, and LR- of 0.83. The FI-CGA score showed a sensitivity of 8.8%, specificity of 100%, PPV of 100%, NPV of 76.4%, LR+ infinite, and LR- of 0.91. Conclusion: No scoring system was found to be suitable as a screening tool for frailty syndrome; however, all scoring systems can be used as effective diagnostic tools for frailty with good predictive ability.