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Makale detayı · 2026 · article

Comparative Evaluation of Systemic Inflammatory Indices in Bronchiectasis: Identification of Exacerbation Phenotype

Dergi Life
ISSN2075-1729
YÖKSİS OpenAlex Açık erişim · gold
Yıl2026
Atıf0OpenAlex
Yüzdelik%57,5
FWCI0,01,00 = dünya ortalaması
Scopus (SJR)Q1
WoS (JCR)Q1

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıLife
  • Katalog eşleşmesi (ISSN)Life
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
  • Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)

Özet

OpenAlex İngilizce

Background: Bronchiectasis is a heterogeneous chronic inflammatory airway disease characterized by recurrent exacerbations. Data on composite inflammatory biomarkers for assessing disease activity remain limited. Methods: This retrospective study included 97 patients with non-cystic fibrosis bronchiectasis categorized as stable (n = 39) or with exacerbated bronchiectasis (n = 58). Demographic, clinical, and laboratory data were analyzed, and inflammatory indices—NLR (neutrophil–lymphocyte ratio), PLR (platelet–lymphocyte ratio), SII (Systemic Immune-Inflammation Index), PIV (Pan-Immune-Inflammation Value), CAR (C-reactive protein-to-albumin ratio), and HALP score (hemoglobin × albumin × lymphocyte/platelet)—were calculated, followed by multivariate logistic regression and ROC analyses. Results: Patients with bronchiectasis exacerbations had a higher NLR, PLR, PIV, SII, and CAR and lower HALP (all p < 0.001). The C-reactive protein-to-albumin ratio demonstrated the highest discriminative ability (AUC = 0.995), followed by SII and NLR, while lower HALP and SII were independent predictors of exacerbation. The C-reactive protein-to-albumin and sedimentation-to-albumin ratios were strongly correlated with hospitalization duration (both p < 0.001). Conclusions: Composite inflammatory indices are strongly associated with disease activity in bronchiectasis. CAR showed excellent discriminative performance, while HALP and SII independently predicted exacerbation. These simple, cost-effective biomarkers may support risk stratification and clinical monitoring in routine practice.

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Atıflar

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Yazarlar

3
  1. SELDA GÜNAYDIN GİRESUN ÜNİVERSİTESİ 1
  2. HAYRİYE BEKTAŞ AKSOY GİRESUN ÜNİVERSİTESİ 2
  3. ŞABAN MELİH ŞİMŞEK GİRESUN ÜNİVERSİTESİ 3