Ayu Sandra Manikasari
Department of Clinical Pathology, Wangaya Regional General Hospital, Denpasar, Indonesia

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The Prognostic Superiority of Early ΔNLR Variations in Predicting In-Hospital Mortality among Emergency and Ward Patients with COVID-19: A Systematic Review and Meta-Analysis Ayu Sandra Manikasari; Ni Kadek Nadia Ayu Agustini
Archives of The Medicine and Case Reports Vol. 7 No. 2 (2026): Archives of The Medicine and Case Reports
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/amcr.v7i2.870

Abstract

The neutrophil-to-lymphocyte ratio is an established biomarker reflecting systemic inflammation and immune dysregulation. However, single baseline measurements upon hospital admission often fail to capture the highly dynamic immunological trajectory of patients infected with the severe acute respiratory syndrome coronavirus 2. This study aimed to evaluate the prognostic superiority of early variations in the neutrophil-to-lymphocyte ratio, defined as ΔNLR, compared to static baseline measurements for predicting in-hospital mortality among patients admitted to the emergency department and general medical wards. A systematic review and meta-analysis were strictly conducted according to PRISMA guidelines. Data were meticulously extracted from ten selected observational cohort studies. The primary outcome assessed was in-hospital mortality. Standardized mean differences and 95 percent confidence intervals were calculated utilizing a DerSimonian-Laird random-effects model to appropriately account for anticipated clinical heterogeneity. The comprehensive meta-analysis integrated data from 4582 patients across ten independent studies. Both the baseline neutrophil-to-lymphocyte ratio and the early ΔNLR were significantly elevated in non-survivors compared to survivors. However, the early variation in the ratio, measured precisely at 24 to 48 hours post-admission, demonstrated a significantly higher predictive value for in-hospital mortality. The pooled standardized mean difference for baseline measurements between non-survivors and survivors was 0.82 (95 percent confidence interval: 0.61 to 1.03, p less than 0.001). In stark contrast, the pooled standardized mean difference for the early ΔNLR was 1.34 (95 percent confidence interval: 1.05 to 1.63, p less than 0.001), indicating a substantially stronger effect size and superior prognostic discrimination. In conclusion, early dynamic variations in the neutrophil-to-lymphocyte ratio offer superior prognostic value compared to static baseline measurements for predicting fatal outcomes in COVID-19 patients. Integrating kinetic monitoring into emergency and ward triage protocols can significantly optimize early risk stratification.
The Diagnostic Utility of Low Neutrophil-to-Lymphocyte Ratio (NLR) as an Indicator of Severity in Adult Dengue Hemorrhagic Fever: A Retrospective Study from Bali Ayu Sandra Manikasari; I Gusti Ayu Wiradari Tedja; Made Ayu Vita Prianggandanni
Archives of The Medicine and Case Reports Vol. 7 No. 1 (2026): Archives of The Medicine and Case Reports
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/amcr.v7i1.839

Abstract

Dengue hemorrhagic fever (DHF) remains a critical public health challenge in tropical regions. Unlike bacterial sepsis, where a high neutrophil-to-lymphocyte ratio (NLR) typically indicates severity, viral kinetics in dengue often present differently due to bone marrow suppression. This study evaluates the association between low NLR and disease severity in an adult cohort in Indonesia, aiming to identify a cost-effective marker for risk stratification. A retrospective cross-sectional study was conducted at Wangaya Regional General Hospital, Denpasar, Indonesia, from January to August 2025. We analyzed 92 confirmed adult DHF patients aged 18 years and older. Severity was graded using standard World Health Organization criteria (Grades 1–4). For the purpose of diagnostic performance analysis, severe DHF was defined as Grade 2 (spontaneous bleeding) and Grade 3 (circulatory failure) combined. The correlation between NLR and severity was analyzed using the Spearman rank test. Receiver Operating Characteristic (ROC) analysis determined the optimal cut-off for identifying severe cases. The cohort was predominantly young adults (18–25 years; 47.8%) with a male preponderance (68.5%). The severity distribution included Grade 1 (n=68; 73.9%), Grade 2 (n=21; 22.8%), and Grade 3 (n=3; 3.3%). A significant, moderate inverse correlation was observed between NLR and severity grade (r = -0.347; p < 0.001). Mean NLR decreased progressively from Grade 1 (2.90) to Grade 2 (1.20) and Grade 3 (0.65). ROC analysis for detecting Grade 2 or higher DHF showed an Area Under the Curve (AUC) of 0.82 (95% CI: 0.75–0.89). An NLR cut-off of less than 0.85 yielded a sensitivity of 87.5% and specificity of 72.0%. In conclusion, a low NLR is significantly associated with higher clinical severity in adult DHF. Unlike bacterial infections, a declining NLR below 0.85 serves as a potential marker for identifying patients at risk of bleeding and circulatory compromise in resource-limited settings.