Can systemic immune inflammation index at admission predict in-hospital mortality in chronic kidney disease patients with SARS-CoV-2 infection?

Kayalar, Arzu Ozdemır; Koçak, Sibel; Jouanguy, Emmanuelle; Yılmaz, Mürvet

doi:10.1016/j.nefroe.2021.09.009

Cited by 2 publications

(1 citation statement)

References 38 publications

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“…The main limitation of the present study is that there are no known cutoff values for hemogram-derived inflammatory markers in feline CKD patients, which could aid clinicians in better managing feline CKD patients. In human medicine, the cutoff values of hemogram-derived inflammatory markers in different pathologies have already been defined [ 50 , 51 , 52 , 53 , 54 ]. Another limitation is that we could not perform a longitudinal study to evaluate marker dynamics during the progression of the disease.…”

Section: Discussionmentioning

confidence: 99%

Hemogram-Derived Inflammatory Markers in Cats with Chronic Kidney Disease

Krofič Žel,

Nemec Svete,

Tozon

et al. 2024

Animals

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Chronic kidney disease (CKD) is characterized by chronic inflammation, which mediates the progressive replacement of functional nephrons by fibrotic tissue. Hemogram-derived inflammatory markers are known to serve as markers of pathological conditions; however, their diagnostic value in feline CKD is still unknown. The aim of this retrospective study was to investigate selected hemogram-derived inflammatory markers (neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR) and the systemic immune-inflammatory index (SII)) in cats at different clinical stages of CKD. Eighty-eight client-owned cats with CKD and thirty-two healthy control cats were included. Cats with CKD were divided into two groups: early CKD (IRIS stage 1 and 2; 62 cats) and progressed CKD (IRIS stage 3 and 4; 26 cats). The values of inflammatory markers were compared between the two CKD groups and the control group. All investigated hemogram-derived inflammatory markers were significantly (p < 0.05) greater in cats with advanced CKD than in those in the other two groups. Additionally, we demonstrated a statistically significant weak to moderate correlation between serum urea, creatinine, selected hematologic and urinary parameters, and the investigated inflammatory markers in cats with CKD. Chronic inflammation can be easily and inexpensively assessed with hemogram-derived markers.

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Section: Discussionmentioning

confidence: 99%

Hemogram-Derived Inflammatory Markers in Cats with Chronic Kidney Disease

Krofič Žel,

Nemec Svete,

Tozon

et al. 2024

Animals

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Predictive modeling of COVID-19 mortality risk in chronic kidney disease patients using multiple machine learning algorithms

Luo,

Gao,

Yang

et al. 2024

Sci Rep

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The coronavirus disease 2019 (COVID-19) has a significant impact on the global population, particularly on individuals with chronic kidney disease (CKD). COVID-19 patients with CKD will face a considerably higher risk of mortality than the general population. This study developed a predictive model for assessing mortality in COVID-19-affected CKD patients, providing personalized risk prediction to optimize clinical management and reduce mortality rates. We developed machine learning algorithms to analyze 219 patients’ clinical laboratory test data retrospectively. The performance of each model was assessed using a calibration curve, decision curve analysis, and receiver operating characteristic (ROC) curve. It was found that the LightGBM model showed the most satisfied performance, with an area under the ROC curve of 0.833, sensitivity of 0.952, and specificity of 0.714. Prealbumin, neutrophil percent, respiratory index in arterial blood, half-saturated pressure of oxygen, carbon dioxide in serum, glucose, neutrophil count, and uric acid were the top 8 significant variables in the prediction model. Validation by 46 patients demonstrated acceptable accuracy. This model can serve as a powerful tool for screening CKD patients at high risk of COVID-19-related mortality and providing decision support for clinical staff, enabling efficient allocation of resources, and facilitating timely and targeted management for those who need the relevant interference urgently. Supplementary Information The online version contains supplementary material available at 10.1038/s41598-024-78498-w.

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Can systemic immune inflammation index at admission predict in-hospital mortality in chronic kidney disease patients with SARS-CoV-2 infection?

Cited by 2 publications

References 38 publications

Hemogram-Derived Inflammatory Markers in Cats with Chronic Kidney Disease

Hemogram-Derived Inflammatory Markers in Cats with Chronic Kidney Disease

Predictive modeling of COVID-19 mortality risk in chronic kidney disease patients using multiple machine learning algorithms

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