Evidence map›Paper›PMID 41111857›Full record

ArticleCureus2025

High-Sensitivity C-reactive Protein (hs-CRP) as a Biomarker for Predicting Urinary Tract Infection (UTI) Severity and Associated Complications.

Zafar Ahmad Khan, Ishtiaq Ahmad, Ashraf

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Admission CRP as an Independent Predictor of Prolonged Length of Stay in Calculous Acute Pyelonephritis: A Comparative Evaluation With the HALP Score.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Article
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

3 authors.

Zafar Ahmad KhanUrology, Medical Teaching Institution, Mardan Medical Complex, Mardan, PAK.
Ishtiaq AhmadInternal Medicine, Medical Teaching Institution, Mardan Medical Complex, Mardan, PAK.
AshrafResearch and Development, Pro-gene Diagnostics and Research Laboratory, Mardan, PAK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Urinary tract infections (UTIs) are a common health issue, particularly among women and the elderly, leading to significant morbidity and healthcare burdens. The severity of UTIs can range from uncomplicated cystitis to more severe conditions like pyelonephritis and sepsis, which may cause long-term complications such as renal scarring. High-sensitivity C-reactive protein (hs-CRP), a biomarker of systemic inflammation, has gained attention for its potential role in predicting UTI severity and complications. Understanding the relationship between hs-CRP levels and UTI severity could enhance patient management and treatment strategies. Objective This study aims to investigate the relationship between hs-CRP levels and UTI severity, as well as their association with clinical factors such as comorbidities, infection type, and hospital outcomes, with a focus on determining the potential of hs-CRP as a prognostic tool for UTI complications. Methodology A cross-sectional observational study was conducted at Mardan Medical Complex from December 2024 to June 2025. A total of 173 UTI patients were included. Participants were categorized into mild, moderate, and severe infection groups based on clinical signs, symptoms, and laboratory results. hs-CRP levels were measured using the Roche Cobas e411 analyzer. Demographic data, comorbidities, infection type, and hospitalization details were collected. Statistical analysis, including ANOVA, Kruskal-Wallis H tests, Mann-Whitney U tests, and decision tree modeling, was used to assess associations between hs-CRP levels and infection severity. Results The findings of this study indicate a significant association between elevated hs-CRP levels and the severity of UTIs. The highest hs-CRP concentrations were observed in patients with severe infections, with a mean level of 26.5 mg/L. Moreover, hs-CRP levels were notably correlated with several comorbidities, including hypertension, diabetes, and chronic kidney disease. Specifically, patients with hypertension exhibited a mean hs-CRP level of 24.8 mg/L, while those with diabetes had an average level of 22.6 mg/L. Among individuals with chronic kidney disease, hs-CRP levels were even higher, with a mean of 27.34 mg/L. A decision tree analysis identified distinct hs-CRP thresholds that effectively predicted the severity of infections and the likelihood of complications, such as renal scarring and nephrolithiasis. In terms of pathogen distribution, Escherichia coli was the most frequently identified pathogen, found in 54 patients (31.21%). Notably, antibiotic resistance did not have a significant impact on hs-CRP levels (p=0.972). Nevertheless, hs-CRP was confirmed as a reliable biomarker for assessing infection severity and predicting potential complications. Further analysis revealed a clear gradation in hs-CRP levels corresponding to the severity of infection. Patients with mild infections had a mean hs-CRP level of 15.2 mg/L, those with moderate infections had an average of 21.5 mg/L, and individuals with severe infections presented the highest mean hs-CRP levels of 26.5 mg/L (p<0.001). Conclusion Hs-CRP is a reliable biomarker for evaluating UTI severity and predicting complications. Its association with infection severity, comorbidities, and clinical outcomes suggests its potential in clinical decision-making.

Indexed as

high-sensitivity c-reactive protein (hs-crp)inflammatory markerspyelonephritisurinary tract infection (uti)urosepsis

Identifiers

PMID41111857
PMCPMC12529860

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