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All Journal Jurnal Kedokteran Syiah Kuala Sari Pediatri Paediatrica Indonesiana Budapest International Research in Exact Sciences (BirEx Journal) Britain International of Exact Sciences Journal (BIoEx Journal)
Sulaiman Yusuf
Bagian Ilmu Kesehatan Anak Fakultas Kedokteran Universitas Syiah Kuala/RSUD Dr. Zainoel Abidin Banda Aceh
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Health Professions Mathematics Medicine & Pharmacology Physics Transportation

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Assessing the Difference in Time to Increase Hemoglobin Levels at 1 hour, 6 hours, and 12 hours after Blood Transfusion in Thalassemia Patients at the Regional General Hospital Dr. Zainoel Abidin Banda Aceh Riny Fasli; Heru Noviat Herdata; Dora Darussalam; Bakhtiar Bakhtiar; Sulaiman Yusuf; Syafruddin Haris; Rusdi Andid; Mulya Safri; Eka Destianti Edward
Budapest International Research in Exact Sciences (BirEx) Journal Vol 3, No 2 (2021): Budapest International Research in Exact Sciences, April
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birex.v3i2.1809

Abstract

Thalassemia is a congenital blood disorder characterized by reduced production of one or more globin chains. Thalassemia patients lack healthy hemoglobin which the body needs to be properly oxygenated. Blood transfusion is the main treatment for thalassemia patients. Checking hemoglobin levels after transfusion is a common test, but until now there is no definite uniformity of time to carry out these tests, so it will be detrimental to the patient and increase the length of the patient in the hospital. Assessing the difference in time to increase in hemoglobin levels at 1 hour, 6 hours, and 12 hours after blood transfusion in thalassemia patients. This research is an observational analytic study with cross sectional design. This study was conducted by examining the hemoglobin levels of thalassemia patients after 1 hour, 6 hours, and 12 hours after transfusion in thalassemia patients aged 1-18 years with a total sample of 40 people. The statistical analysis used was paired t test. The results showed that 20 men and 20 women and Most were in the age group 10-13 (35%), with an average Hb level at admission of 7.38 g / dL (95% CI). At 1 hour post-transfusion, the patient's mean Hb level increased by 8.97 g / dL (8,59-9,35 g / dL), at 6 hours post transfusion, 8.95 g / dL (8,57-9,32 g / dL), at 12 hours post transfusion increased by 9.60 g / dL (9,17-10,03 g / dL). Significant increase in Hb levels occurred at 1 hour and 12 hours after blood transfusion.
The performance of STRONGkids in the early detection of hospital malnutrition Tommy Tommy; Herlina Dimiati; Mars Nasrah Abdullah; Sulaiman Yusuf; Teuku Muhammad Thaib; Rusdi Andid; Eka Destianti Edward
Paediatrica Indonesiana Vol 62 No 3 (2022): May 2022
Publisher : Indonesian Pediatric Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14238/pi62.3.2022.192-7

Abstract

Background Hospital malnutrition in children can increase morbidity and mortality, regardless of the type of illness. The Screening Tool for Risk on Nutritional Status and Growth (STRONGkids) is a practical and easy nutritional risk screening tool that has been widely validated in several countries. Objective To examine the performance of STRONGkids for the early detection of hospital malnutrition in pediatric inpatients. Methods This cross-sectional study was conducted in the pediatric ward of Dr. Zainoel Abidin General Hospital, Banda Aceh, Indonesia. The pediatric inpatients' STRONGkids scores were calculated within 24 hours of admission. We used the chi-square test to compare the proportion of at-risk children based on STRONGkids scores with the prevalence of hospital malnutrition based on serial weight measurement. We also determined the sensitivity, specificity, as well as positive and negative predictive values of STRONGkids for detecting hospital malnutrition, with percentage of weight loss between admission and discharge as the gold standard. Result Out of 75 subjects, 48% were male. The hospital malnutrition prevalence was 29.3%. STRONGkids score was significantly associated with hospital malnutrition (P=0.023). The sensitivity, specificity, positive predictive value, and negative predictive value of STRONGkids for detecting hospital malnutrition was 77.3%, 54.7%, 41.4%, and 85.2%, respectively. Conclusion With its good sensitivity, the STRONGkids tool is effective in identifying those at risk of hospital malnutrition. In addition, with its high NPV, a “no-risk” score also effectively implies that the child is likely not to have hospital malnutrition.
Co-Authors Bakhtiar Bakhtiar Dora Darussalam Dora Darussalam Eka Destianti Edward Eka Destianti Edward Herlina Dimiati Heru Noviat Herdata Jufitriany Ismi Jufitriany Ismy Kulsum Kulsum Mala Hayati Mars Nasrah Abdullah Mulya Safri Munar Lubis Muzal Kadim Nora Sovira Nora Sovira Novita Andayani Nurjannah Nurjannah Raihan Raihan Riny Fasli Rusdi Andid Rusdi Andid Rusdi Andid Sidqi Anwar Syafruddin Haris Syafruddin Haris Teuku Muhammad Thaib Tita Menawati Liansyah TM Thaib Tommy Tommy Yunnie Trisnawati