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All Journal International Journal of Integrated Health Sciences Jurnal Health Sains
Azzumar, Farchan
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Dentistry Health Professions Medicine & Pharmacology Nursing Public Health Veterinary

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Differential White Blood Cell Count and COVID-19 Hospital Length of Stay: A Post-hoc Analysis Gustya, Gita Fajri; Nugraha, Darrin Ananda; Rakasiwi, Muhammad Ilham Dhiya; Azzumar, Farchan; Burhan, Erlina
International Journal of Integrated Health Sciences Vol 12, No 2 (2024)
Publisher : Faculty of Medicine Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15850/ijihs.v12.n2.3915

Abstract

Objective: To explore the association between differential white blood cell count and hospital length of stay (LOS) in COVID-19 patients.Methods: This study is a post-hoc analysis of two prospective cohort studies involving hospitalized COVID-19 patients who received standard therapy, including antiviral and supportive treatments at Persahabatan Hospital, Jakarta, Indonesia, during the Delta and Omicron dominant pandemic periods. Baseline differential white blood cell count before initiation of therapy were documented. LOS was categorized as ≤10 days and >10 days.Result: Data from 463 subjects were included with most subjects were males (62.2%) with a median age of 54 (14–93) years. The average LOS for subjects was 12.7 (12.1–13.4) days. Bivariate tests showed that lymphocytes, neutrophils, monocytes, neutrophil-lymphocyte ratio (NLR), and neutrophil-monocyte ratio (NMR) had significant association (p <0.05) to LOS. Logistic regression showed that higher monocyte counts were associated with shorter LOS (adjusted OR 0.89; 95% CI 0.840 - 0.943; p < 0.001). ROC curve showed that higher monocyte counts (>8.35 × 10^3/µL) at admission may predict shorter hospitalization (<10 days).Conclusion: Monocyte count may serve as a potential marker for length of stay in COVID-19 patients, offering key insights for optimizing patient management and resource allocation.
Surrogate Biomarker to Identify Obesity and Predict Cardiovascular Disease Risk: A Systematic Review Azzumar, Farchan; Helda, Helda; Salamah, Qonita Nur; Handari, Rahma Dewi; Ramadhani, Ramadhani; Ibna, Reihana Ramadlani; Herawati, Yanti
Jurnal Health Sains Vol. 5 No. 7 (2024): Journal Health Sains
Publisher : Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jhs.v5i7.1302

Abstract

The study investigates the relationship between obesity and cardiovascular disease (CVD) risk, comparing the use of body mass index (BMI) versus other biomarkers in predicting CVD risk among obese individuals. It conducts a systematic literature review following the PRISMA guidelines, searching databases for relevant articles published from 2017-2022. The review analyzes 12 eligible articles and finds that factors beyond just BMI, such as genetics, physical activity, metabolic disorders, previous heart disease history, nutrition, fat distribution, and changes in BMI, can significantly impact the prognosis of heart disease in obese individuals. Importantly, the study shows that measures of fat distribution, like waist-to-height ratio, waist circumference, log-transformed body shape index (LBSIZ), and the ratio of visceral adipose tissue (VAT) to subcutaneous adipose tissue (SAT), are superior to BMI in predicting CVD risk among those with obesity. The key takeaway is that while obesity is strongly linked to CVD risk, BMI alone often fails to predict that risk accurately. Fat distribution measures may be a more effective tool for identifying obesity status and predicting associated CVD risk compared to relying solely on BMI.
Co-Authors Erlina Burhan Gustya, Gita Fajri Handari, Rahma Dewi Helda Helda Herawati, Yanti Ibna, Reihana Ramadlani Nugraha, Darrin Ananda Rakasiwi, Muhammad Ilham Dhiya Ramadhani Ramadhani Salamah, Qonita Nur