Evidence map›Paper›PMID 40660101›Full record

ArticleBMC urology2025

The role of Pan-Immune inflammation value and systemic Immune-Inflammation index as potential biomarkers in predicting infectious complications following retrograde intrarenal surgery.

Bedreddin Kalyenci, Ferhat Çoban, Hasan Sulhan, Mehmet Özgür Yücel, Can Benlioğlu, Gazi Kaz, Tayfun Şahinkanat, Ali Çift

Abstract read
In one paragraph

Article in BMC urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Bedreddin KalyenciDepartment of Urology, Faculty of Medicine, Adıyaman University, 02040, Adıyaman, Turkey.ORCID http://orcid.org/0000-0002-9175-2755
Ferhat ÇobanDepartment of Urology, Faculty of Medicine, Adıyaman University, 02040, Adıyaman, Turkey.ORCID http://orcid.org/0000-0003-1248-1940
Hasan SulhanDepartment of Urology, Faculty of Medicine, Adıyaman University, 02040, Adıyaman, Turkey.ORCID http://orcid.org/0000-0001-7344-4508
Mehmet Özgür YücelDepartment of Urology, Faculty of Medicine, Adıyaman University, 02040, Adıyaman, Turkey. mozyucel@yahoo.com.ORCID http://orcid.org/0000-0002-6920-8606
Can BenlioğluDepartment of Urology, Faculty of Medicine, Adıyaman University, 02040, Adıyaman, Turkey.ORCID http://orcid.org/0000-0003-0582-5848
Gazi KazDepartment of Urology, Faculty of Medicine, Adıyaman University, 02040, Adıyaman, Turkey.
Tayfun ŞahinkanatDepartment of Urology, Private Medline Adana Hospital, Adana, Turkey.ORCID http://orcid.org/0000-0001-8128-0275
Ali ÇiftDepartment of Urology, Faculty of Medicine, Adıyaman University, 02040, Adıyaman, Turkey.ORCID http://orcid.org/0000-0002-2329-0149

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo predict postoperative infectious complications by utilizing hemogram parameters and derived inflammation indices and to analyze patient-related risk factors to propose a nomogram.

methodsThe data of patients who underwent retrograde intrarenal surgery were reviewed. The patients were categorized into two groups: those without infectious complications (Group A) and those with infectious complications (Group B). Infectious complications were defined as fever persisting above 38 °C for 48 h and the presence of two or more systemic inflammatory response syndrome (SIRS) criteria. Hemogram parameters and inflammation indices were examined to predict infectious complications. The study utilized neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR), along with the pan-immune-inflammation value (PIV) and systemic immune-inflammation index (SII).

resultsThe data of 658 cases were evaluated. No infectious complications were observed in 610 cases (92.7%), while 33 cases (5.0%) developed fever, and 15 cases (2.3%) met the criteria for SIRS. The optimal cut-off values for distinguishing between groups were determined as follows: >2.66 for NLR, > 122.5 for PLR, < 2.81 for LMR, > 619.4 for SII, and > 500.2 for PIV. Patients with PIV > 500.2 exhibited a 13.737-fold increase (95% confidence interval [CI]: 7.260-25.994) in infectious complications compared to those with PIV ≤ 500.2, making PIV the strongest predictor. The most significant factors in differentiating between the groups were, in order of importance, Charlson comorbidity index, stone volume, preoperative serum creatinine level, and preoperative double-J stent placement. These factors were analyzed using multivariate logistic regression alongside PIV and SII, and two models were constructed. The predictive power of Model 1 was determined as Cox & Snell R² = 0.269 and Nagelkerke R² = 0.661, while Model 2 had a Cox & Snell R² value of 0.264 and a Nagelkerke R² value of 0.648.

conclusionPIV and SII, derived from hemogram parameters, serve as predictive inflammatory indices for postoperative infectious complications. They provide valuable preoperative insight into the patient's immune and systemic inflammatory responses. When combined with other risk factors, these indices allow for the prediction of postoperative infectious complications.

Indexed as

Postoperative ComplicationsSystemic Inflammatory Response SyndromeAdultAgedBiomarkersFemaleHumansInflammationMaleMiddle AgedPredictive Value of TestsRetrospective StudiesBiomarkersInfectious complicationsPan-Immune inflammation valueRetrograde intrarenal surgerySystemic Immune-Inflammation indexUrolithiasis

Identifiers

PMID40660101
PMCPMC12257762

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.