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Editorial
. 2024 Sep;19(3):511-518.
doi: 10.26574/maedica.2024.19.3.511.

Are the Hematological Parameters Useful in Differentiating Acute Pyelonephritis from Cystitis in Patients with Chronic Kidney Disease?

Affiliations
Editorial

Are the Hematological Parameters Useful in Differentiating Acute Pyelonephritis from Cystitis in Patients with Chronic Kidney Disease?

Ioana Dicu-Andreescu et al. Maedica (Bucur). 2024 Sep.

Abstract

Background and objectives: The importance of hematological parameters has started to be explored with increased interest in many fields lately, with different studies finding an association between those parameters and inflammatory status, atherosclerosis, comorbidities, malnutrition, neoplasia and even a faster progression of chronic kidney disease (CKD). On the other hand, CKD itself presents as an inflammatory condition, in which a lot of pathways are modified and the response to an infectious agent could be less than expected. Regarding the latter aspect, in this study we aim to explore the differences between the hematologic response during a lower versus upper urinary tract infection in patients with CKD.

Materials and methods: We analyzed 70 patients with chronic kidney disease and either cystitis or pyelonephritis considering the hematologic parameters, the classical inflammatory ones as well as the etiology of CKD.

Results: Neutrophils, neutrophils/lymphocytes ratio (NLR), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP) and fibrinogen were higher in patients with pyelonephritis (PNA), while albumin was significantly lower. In a binary logistic regression model that explained 80.2% of the variability of PNA diagnosis and correctly predicted it in 92.9% of cases, NLR, CRP and fibrinogen were the independent predictors.

Conclusions: Hematologic parameters can serve not only as an indicator of the inflammatory status, but also as a laboratory biomarker for PNA in patients with CKD.

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Conflict of interest statement

Conflicts of interest: none declared.

Figures

FIGURE 1.
FIGURE 1.
Inclusion/exclusion criteria. eGFR=estimated glomerular filtration rate; N30.0, N30.8, N30.9, N10=codes from ICD-10 classification used to identify the presence of a urinary tract infection
TABLE 1.
TABLE 1.
General characteristics of patients
TABLE 2.
TABLE 2.
Correlations between the relevant variables
TABLE 3.
TABLE 3.
Independent predictors of the diagnosis of pyelonephritiss
FIGURE 2.
FIGURE 2.
Receiver operating characteristic (ROC) curve for neutrophils/lymphocytes ratio (NLR) significance

References

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