Kounatidis Dimitris, Jahaj Edison, Geladari Eleni V, Papachristodoulou Kyriaki, Panagopoulos Fotis, Marakomichelakis Georgios, Papastamopoulos Vasileios, Sevastianos Vasilios, Vallianou Natalia G
Diabetes Center, Medical School, First Propaedeutic Department of Internal Medicine, Laiko General Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece.
Dermatology Department, Evangelismos General Hospital, 10676 Athens, Greece.
Medicina (Kaunas). 2025 Aug 5;61(8):1416. doi: 10.3390/medicina61081416.
: infection (CDI) poses a major public health problem worldwide. : In this retrospective study, we included 274 patients with CDI, who were hospitalized in Internal Medicine Departments in Evangelismos General Hospital in Athens, Greece, during the past decade. Demographic, clinical and laboratory parameters of the patients were recorded. Statistical analysis revealed an association between older age and mortality as well as heart failure and mortality among patients with CDI. : Notably, WBC (white blood count), neutrophils, NLR (neutrophil-to-lymphocyte ratio), dNLR (derived NLR), SII (systemic immune-inflammation index) and hs-CRP (high-sensitivity C-reactive protein) demonstrated a positive association with mortality, whereas serum albumin levels and PNR (platelet-to-neutrophil ratio) exhibited an inverse relationship with mortality. We propose that the aforementioned biomarkers may be used as prognostic parameters regarding mortality from CDI. : Large scale studies among patients with CDI with the advent of AI (artificial intelligence) may incorporate demographic, clinical and laboratory features into prognostic scores to further characterize the global CDI threat.
艰难梭菌感染（CDI）在全球范围内构成了一个重大的公共卫生问题。在这项回顾性研究中，我们纳入了274例CDI患者，他们在过去十年间于希腊雅典 Evangelismos 综合医院内科住院。记录了患者的人口统计学、临床和实验室参数。统计分析显示，CDI患者中年龄较大与死亡率之间以及心力衰竭与死亡率之间存在关联。值得注意的是，白细胞（WBC）、中性粒细胞、中性粒细胞与淋巴细胞比值（NLR）、衍生NLR（dNLR）、全身免疫炎症指数（SII）和高敏C反应蛋白（hs-CRP）与死亡率呈正相关，而血清白蛋白水平和血小板与中性粒细胞比值（PNR）与死亡率呈负相关。我们建议，上述生物标志物可作为CDI死亡率的预后参数。随着人工智能（AI）的出现，针对CDI患者的大规模研究可能会将人口统计学、临床和实验室特征纳入预后评分，以进一步描述全球CDI威胁的特征。
