Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Gaster
Husnul Khuluq
Department Of Pharmacy, Faculty of Health Science, Universitas Muhammadiyah Gombong, 54413, Indonesia
Health Professions Medicine & Pharmacology Nursing Public Health

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Mortality Prediction For COVID-19 Patients Based on Demographic, Typical Laboratory Results, and Clinical Data Husnul Khuluq; Anwar Sodik
Gaster Vol 21 No 2 (2023): AGUSTUS
Publisher : P3M Universitas 'Aisyiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30787/gaster.v21i2.1143

Abstract

Background:Timely identification of patients with a high risk of mortality from COVID-19 can make a big improvement in triage, bed placement, time saving, and maybe even outcome . Objectives: construct and evaluate individual mortality risk estimates based on anonymised demographic, clinical, and laboratory data at admission, as well as to find out the probability of death Materials and methods: Data included 681 patients, obtained from two Muhammadiyah Hospitals in Kebumen, Central Java, Indonesia. Data was collected between January 2020 to December 2022. The medical records were examined to identify the demographic data, vital signs, clinical data and typical laboratory test. In bivariate analysis, the Chi-square test was used.. Results: Patients were 48.02% males, and mortality was 18.05%. The five top predictors were Respiratory Failure( OR 7.420, 95% CI (1.169-47.103) , Myocardial Infarction (OR 1.639, 95% CI (0.881-3.050), D-dimer (OR 1.493, 95% CI (1.112-2.004), Chronic Kidney Disease (OR 1.493, 95% CI (1.112-2.004), Lymphocyte (OR 1.397, 95% CI ( 1.232-1.584). Conclusions: Comorbidities including chronic kidney disease, myocardial Infarction and DM 1 type; laboratory test results including D-dimer, lymphocyte, neutrophil, creatinine, leukocytes, glucose, hemoglobin; age, SPO2 and respiratory failure were associated with and can predict mortality in COVID-19 patients.
Mortality Prediction For COVID-19 Patients Based on Demographic, Typical Laboratory Results, and Clinical Data Husnul Khuluq; Anwar Sodik
Gaster Vol 21 No 2 (2023): AGUSTUS
Publisher : P3M Universitas 'Aisyiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30787/gaster.v21i2.1143

Abstract

Background:Timely identification of patients with a high risk of mortality from COVID-19 can make a big improvement in triage, bed placement, time saving, and maybe even outcome . Objectives: construct and evaluate individual mortality risk estimates based on anonymised demographic, clinical, and laboratory data at admission, as well as to find out the probability of death Materials and methods: Data included 681 patients, obtained from two Muhammadiyah Hospitals in Kebumen, Central Java, Indonesia. Data was collected between January 2020 to December 2022. The medical records were examined to identify the demographic data, vital signs, clinical data and typical laboratory test. In bivariate analysis, the Chi-square test was used.. Results: Patients were 48.02% males, and mortality was 18.05%. The five top predictors were Respiratory Failure( OR 7.420, 95% CI (1.169-47.103) , Myocardial Infarction (OR 1.639, 95% CI (0.881-3.050), D-dimer (OR 1.493, 95% CI (1.112-2.004), Chronic Kidney Disease (OR 1.493, 95% CI (1.112-2.004), Lymphocyte (OR 1.397, 95% CI ( 1.232-1.584). Conclusions: Comorbidities including chronic kidney disease, myocardial Infarction and DM 1 type; laboratory test results including D-dimer, lymphocyte, neutrophil, creatinine, leukocytes, glucose, hemoglobin; age, SPO2 and respiratory failure were associated with and can predict mortality in COVID-19 patients.
Co-Authors Anwar Sodik