Efrida
Andalas University
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Publication
Featured researches published by Efrida.
Indonesian Journal of Clinical Pathology and Medical Laboratory | 2018
Efrida Efrida; Ida Parwati; Ike Sri Redjeki
Metabolic acidosis is the most frequent acid-base disorder in patients of the Intensive Care Unit. By conventional approach based on pH value, [HCO3 –], and base deficit (BD) from blood gas analyzer (BGA) measurement are often inappropriate with the clinical state and inadequate in explaining the mechanism of the metabolic acidosis. The Stewart approach states that the blood pH is determined by a strong ion difference (SID), the carbon dioxide tension (pCO2), the total concentration of non-volatile weak acid. The Stewart approach may give a better understanding of the mechanisms that underlie the metabolic acidosis. The purpose of this study is to know the correlation of blood pH value measurement from BGA and calculation based on Stewart approach and identifying the mechanisms that underlie a metabolic acidosis. In this study an analytic observational cross-sectional method was used. The examined subjects consisted of 71 patients who were admitted with a metabolic acidosis at the ICU from July up to August 2007. All patients were measured for their blood pH, pCO2, [HCO3 –], BD, sodium, potassium, calcium, magnesium, chloride, lactate, albumin, and phosphate. The result was reported as the mean and standard deviation. The data were analyzed by Pearson’s correlation test and linier multiple regression. Statistical significance was determined at p < 0.05. The mean values of blood pH measurement from BGA and blood pH calculation based on the Stewart approach were 7.33 (0.11) and 7.49 (0.11) (r = 0.681; p < 0.001). Most patients had two underlying mechanisms of metabolic acidosis. Hyperlactatemia was present in 61.8%, hyperchloremia was present in 58.2% of patients. Based on this study so far, by using the Stewart approach there is an excellent and significant correlation between the blood pH measurement from BGA and blood pH calculation. Hyperlactatemia and hyperchloremia are the main causes of the metabolic acidosis in patients of the ICU ward.
Majalah Kedokteran Andalas | 2015
Ima Septia; Rismawati Yaswir; Lillah Lillah; Efrida Efrida
Abstrak Penelitian ini bertujuan mengetahui korelasi indeks massa tubuh (IMT) dengan estimated Glomerular Filtration Rate (eGFR) berdasarkan formula MDRD pada populasi sehat di kota Padang. Penelitian analitik dengan rancangan potong lintang ini mengikutsertakan 121 orang peserta medical check up pada beberapa rumah sakit di Kota Padang pada bulan Agustus 2013-Oktober 2014. Nilai eGFR dihitung menurut persamaan MDRD, kadar kreatinin diperiksa dengan metode enzimatik yang telah distandarisasi. Korelasi IMT dengan eGFR berdasarkan formula MDRD dianalisis menggunakan korelasi Pearson. Kemaknaan secara statistik ditentukan jika nilai p 0,05). Simpulan: tidak didapatkan korelasi antara IMT dengan eGFR berdasarkan formula MDRD. Abstract The purpose of this study was to evaluate the correlation between BMI and eGFR by MDRD formula among healthy population in Padang. This cross-sectional analytic study enrolled 121 participants taking medical check-up in several hospitals in Padang from August 2013 to October 2014. Value of eGFR was determined by MDRD formula, and a standardized enzimatic method was used for measuring creatinine levels. The correlation between BMI and eGFR by MDRD formula was analyzed using Pearson correlation. Statistical significancy was concluded if the value of p 0.05). Thus, there was no correlation between BMI and eGFR by MDRD formula.
Russian Open Medical Journal | 2018
Efrida Efrida; Ellyza Nasrul; Ida Parwati; Jamsari Jamsari
Jurnal Kesehatan Andalas | 2018
Mira Purwinanty; Rismawati Yaswir; Efrida Efrida
Jurnal Kesehatan Andalas | 2018
Febria Prima Utari; Efrida Efrida; Husnil Kadri
Indonesian Journal of Clinical Pathology and Medical Laboratory | 2018
Reni Lenggogeni; Rismawati Yaswir; Efrida Efrida; Desywar Desywar
Jurnal Kesehatan Andalas | 2017
Rizqy Auliya Lubis; Efrida Efrida; Dwitya Elvira
Jurnal Kesehatan Andalas | 2017
Angela Lovena; Saptino Miro; Efrida Efrida
Scientific Programming | 2016
Ikhsan Marzony; Finny Fitry Yani; Efrida Efrida
Jurnal Kesehatan Andalas | 2016
Vika Rahma Velina; Akmal M. Hanif; Efrida Efrida