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Purwita Wijaya Laksmi
Universitas Indonesia

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STUDI KOMPARASI KRITERIA GLOBAL LEADERSHIP INITIATIVE ON MALNUTRITION (GLIM) DENGAN SUBJECTIVE GLOBAL ASSESMENT (SGA) DALAM MENDIAGNOSIS MALNUTRISI PADA PASIEN RAWAT INAP DI BANGSAL PENYAKIT DALAM RSUPN DR. CIPTO MANGUNKUSUMO Mita Arini; Ratnayani Ratnayani; Wita Rizki Amelia; Astrine Permata Leoni; Ahmad Syauqy; Purwita Wijaya Laksmi; Ari Wijayanti; Lora Sri Nofi
GIZI INDONESIA Vol 45, No 2 (2022): September 2022
Publisher : PERSATUAN AHLI GIZI INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36457/gizindo.v45i2.731

Abstract

Malnutrition in hospitalized patients is a global problem with an increasing prevalence. To date, there is no universally accepted consensus for diagnosing malnutrition. Comparative studies between malnutrition criteria according to GLIM and the gold standard, namely Subjective Global Assessment (SGA) have not been widely carried out in Indonesia. This study aims to compare the validity of the GLIM criteria against the SGA. The study design was cross-sectional with the subject of hospitalized internal medicine patients aged 18-45 years (n=108). The assessment was conducted by comparing prevalence, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), the area under the curve (AUC), positive likelihood ratio (LR+), and negative likelihood ratio (LR-) GLIM criteria against SGA. The results obtained in this study were 57.4 percent women, 60.2 percent late adulthood, 54.6 percent high school graduates, 34.3 percent private employees, and 68.5 percent have income less than minimum wage. The prevalence of malnutrition based on GLIM criteria and SGA was 75 percent and 70.4 percent, respectively. The GLIM criteria have good validity (sensitivity of 98.7%, specificity 81.3%, PPV 92.5%, NPV 96.2%, AUC value 0,9, LR+ 5.28 and a LR- 0.016). Based on the results of the study, it can be concluded that the GLIM criteria have good validity, so they can be recommended as diagnostic tools to determine malnutrition status in hospital nutrition services
PREDIKSI TINGGI BADAN BERDASARKAN TINGGI LUTUT PADA PASIEN DEWASA PENYAKIT DALAM DI RUMAH SAKIT Astrine Permata Leoni; Wita Rizki Amelia; Ahmad Syauqy; Purwita Wijaya Laksmi
GIZI INDONESIA Vol 46, No 1 (2023): Maret 2023
Publisher : PERSATUAN AHLI GIZI INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36457/gizindo.v46i1.762

Abstract

Stature data accuracy is very important in hospital care. However, the condition of the patient that does not allow standing makes actual stature measurement difficult. This study aimed to compare the results of measuring actual stature with a stadiometer and estimated stature using the Chumlea, Cheng, Tanchoco, Shahar and Pooy, and Fatmah knee height formula for adult patients in Indonesia. The study design was cross-sectional with internal medicine adult patients aged 18–59 at Dr. Cipto Mangunkusumo (RSCM). The study was conducted in January–April 2022. A sample of 100 patients was selected using the consecutive sampling method. Stature measurement was carried out using a stadiometer and knee height with knee height calipers and filling out a questionnaire. Analysis used paired t-test, Wilcoxon, one sample T, Bland-Altman plot, and simple linear regression. The results showed no significant difference between actual stature and estimated stature using the Shahar and Pooy knee height formula (p=0.379) and had the smallest bias compared to the other two formulas (bias= -0.25 cm); however, it was not reached the agreement. The new formula also has no significant difference from the actual stature (p=0.859) and has a bias of 0.05 cm. In conclusion, the stature prediction formula based on Shahar and Pooy's knee height can be applied to adult patients who cannot stand as the first alternative compared to the other five formulas. The new formula for predicting stature needs to be researched further because it has not yet reached the agreement.Keywords: stature, knee height, anthropometric measurement, nutritional status ABSTRAKData tinggi badan yang akurat sangat penting dalam perawatan di rumah sakit. Akan tetapi, kondisi pasien yang tidak memungkinkan untuk berdiri membuat pengukuran tinggi badan aktual menjadi sulit dilakukan. Penelitian bertujuan untuk mengetahui perbandingan antara hasil pengukuran tinggi badan aktual dengan stadiometer dan estimasi tinggi badan dengan rumus tinggi lutut Chumlea, Cheng, Tanchoco, Shahar dan Pooy, serta Fatmah untuk pasien dewasa di rumah sakit di Indonesia. Desain penelitian ini cross-sectional dengan subjek pasien dewasa penyakit dalam berusia 18–59 tahun di Rumah Sakit Umum Pusat Nasional Dr. Cipto Mangunkusumo (RSCM). Penelitian dilaksanakan pada Januari–April 2022. Sampel sebanyak 100 pasien dipilih dengan metode consecutive sampling. Pengukuran tinggi badan dilakukan dengan menggunakan stadiometer dan tinggi lutut dengan kaliper tinggi lutut serta pengisian kuesioner. Analisis menggunakan uji-T berpasangan, Wilcoxon, T satu sampel, plot Bland-Altman, dan regresi linear sederhana. Hasil menunjukkan tidak ada perbedaan yang signifikan antara tinggi badan aktual dan estimasi tinggi badan dengan rumus tinggi lutut Shahar dan Pooy (p=0,379) serta mempunyai bias terkecil dibandingkan lima rumus lainnya (bias= -0,25 cm), tetapi masih di luar batas kesepakatan yang diharapkan. Rumus baru prediksi tinggi badan juga tidak mempunyai perbedaan yang signifikan dengan badan aktual (p=0,859) dan mempunyai bias sebesar 0,05 cm. Rumus prediksi tinggi badan berdasarkan tinggi lutut Shahar dan Pooy dapat diterapkan bagi pasien dewasa yang tidak dapat berdiri sebagai alternatif pertama dibandingkan lima rumus lainnya. Rumus baru prediksi tinggi badan perlu diteliti lebih lanjut karena belum mencapai batas kesepakatan.Kata kunci: tinggi badan, tinggi lutut, pengukuran antropometri, status gizi