Raharjo, A Farih
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Effect of Body Mass Index, Sputum Conversion Status, and Adverse Drug Events Severity On Health-Related Quality of Life of Drug-Resistant Tuberculosis Patients Kurniawan, Sandy; Aphridasari, Jatu; Raharjo, A Farih
Respiratory Science Vol. 5 No. 2 (2025): Respiratory Science
Publisher : Indonesian Society of Respirology (ISR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36497/respirsci.v5i2.168

Abstract

Background: Adherence to treatment guidelines and bacteriological conversion are the main indicators of successful treatment of drug-resistant tuberculosis patients. Evaluation of health-related quality of life (HRQoL) and the effect of treatment on HRQoL are often ignored. HRQoL assessment is an interesting outcome to evaluate and improve. Drug-resistant tuberculosis patients suffer not only from the disease but also from the effects of the treatment. Method: This study used a cross-sectional design to determine the correlation of body mass index (BMI), sputum conversion status, and adverse drug events severity with the HRQoL of drug-resistant tuberculosis patients. Quality of life assessment using the WHOQol-BREf questionnaire. The study was conducted in October 2022 at dr. Moewardi Hospital, Surakarta and Dr. Ario Wirawan, Salatiga. Determination of the sample by total sampling method. Results: HRQoL in 33 study subjects ie, 15 subjects had good HRQoL and 18 subjects had poor HRQoL. The media for each quality of life domain are the physical domain 43.00±6.20, psychological domain 33.21±8.83, social domain 28.21±11.01, and environmental domain 33.45±6.38. Statistical analysis with rank Spearman showed that there were a relationship between BMI (P=0.018), sputum conversion status (P=0.002), and adverse drug events severity (P=0.0001) with HRQoL of drug-resistant tuberculosis patients. Conclusion: BMI, sputum conversion status, and drug adverse events severity affect HRQoL of drug-resistant tuberculosis patients.
Comparison of NEWS, SIRS, and qSOFA Score as Predictors of Mortality and Length of Stay in Patients Pneumonia with Sepsis Harsini, Harsini; Alfarizi, Aditya; Aphridasari, Jatu; Raharjo, A Farih; Reviono, Reviono
Jurnal Respirologi Indonesia Vol 44 No 1 (2024)
Publisher : Perhimpunan Dokter Paru Indonesia (PDPI)/The Indonesian Society of Respirology (ISR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36497/jri.v44i1.505

Abstract

Background: Pneumonia is a major health problem in all age groups and often related with sepsis. In 2021, Surviving Sepsis Campaign Guidelines mentioned several clinical scoring systems to identify patients with potentials of developing sepsis, such as systemic inflammatory response syndrome (SIRS), national early warning score (NEWS), quick sequential organ failure assessment (qSOFA) and sequential organ failure assessment (SOFA). The guideline stated that there is no gold standard for diagnosing sepsis, contradicting The Sepsis-3 Guideline in 2016 that mentioned SOFA score as a gold standard for diagnosing sepsis.Methods: Subjects were all patients with pneumonia and sepsis who were treated in Dr.Moewardi Hospital within 1 January to 31 December 2022. Data from subjects’ medical records were collected to assess their NEWS, SIRS, qSOFA, and SOFA score on the day of admission. Since evaluation of SOFA score needs a number of components requiring laboratory results and takes longer time so they made a simpler tool called qSOFA to avoid delayed treatment of the patients.Results: NEWS is more consistent with SOFA compared to SIRS and qSOFA (Kappa value = 0.726 vs 0.320 vs 0.22; respectively). NEWS, SIRS, and qSOFA were all significantly correlated with mortality (P<0.001) with NEWS having the strongest correlation (r=0.482 vs 0.216 vs 0.175; respectively). Only NEWS showed significant correlation with the length of stay (r=0.129; P<0.001).Conclusion: NEWS was the most consistent score to SOFA compared to SIRS and qSOFA. NEWS was also the best predictor for mortality and was the only score correlated with length of hospital stay.