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A study of the clinico-demographical profile of urinary tract infections in carcinoma cervix
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Received: ,
Accepted: ,
How to cite this article: Chakrabarti B, Adhikary SS, Adhikary A, Ghosh A, Bandyopadhyay A. A study of the clinico-demographical profile of urinary tract infections in carcinoma cervix. South Asian J Cancer. 2026;15:98-105. doi: 10.25259/SAJC_6_2025
Abstract
Objectives:
Understanding the clinical and demographic profile of urinary tract infections in cervical cancer patients, including risk factors, microbial spectrum, and antibiotic resistance patterns, is crucial for improving therapeutic strategies.
Material and Methods:
Following the approval by the Institutional Ethics Committee, all histologically confirmed cervical cancer patients registered in 2024 at our institution were reviewed retrospectively. Data were recorded on a structured proforma covering demographics, symptoms, risk factors, clinical parameters, routine laboratory examination, and culture sensitivity study of urine. Urinary tract infection (UTI) was defined by ≥105 CFU/mL growth. IBM SPSS Statistics for Windows, version 20.0, was used for statistical analysis.
Results:
A total of 187 histologically confirmed cervical cancer patients were studied, out of a total of 218 cervical cancer patients after excluding ineligible cases. Urine examination was performed in 151 (80.7%) patients, and 52 (27.8%) had culture-confirmed UTIs. The majority of infections (78.8%) were detected before commencing cancer treatment. Postmenopausal women faced the highest UTI risk (64.1% vs. 4.7% in premenopausal women; OR = 35.97, p <0.001, phi = 0.640). Albuminuria increased risk to 41.2% (OR = 4.06, p = 0.012, phi = 0.202), and hydronephrosis to 31.1% (OR = 3.11, p = 0.004, phi = 0.209). International Federation of Gynaecology and Obstetrics (FIGO) Stage IIIB was associated with a 32.1% UTI rate (OR = 2.80, p = 0.030), and current smokers had a 50.0% rate (OR = 5.39, p = 0.030). Chronic kidney disease carried a 38.9% risk (OR = 3.67, p = 0.018). On multivariate logistic regression, postmenopausal status was the strongest predictor for the occurrence of UTIs (aOR = 0.015; p <0.001). Glycosuria (aOR = 0.025; p = 0.020), ketonuria (aOR = 0.016; p = 0.028), albuminuria (aOR = 0.069; p = 0.020) and Stage IIIB disease (aOR = 0.065; p = 0.011) also retained significance. In the culture, positive urine results, Escherichia coli dominated (84.6%), followed by Klebsiella pneumoniae (13.5%), and only one polymicrobial case. Both organisms retained full susceptibility to carbapenems and aminoglycosides. Coamoxiclav, ampicillin, and fluoroquinolones (except levofloxacin) showed high resistance.
Conclusion:
Postmenopausal status, FIGO Stage IIIB disease, and glycosuria are independent predictors of UTI in cervical cancer patients. Testing for UTI before starting treatment is needed for timely diagnosis. Timely diagnosis and tailoring empiric treatment to local susceptibility patterns will help manage infections more effectively.
Keywords
Cancer
Cervical
Urinary infection
INTRODUCTION
Cervical cancer remains one of the most prevalent malignancies globally, especially in developing countries. Urinary tract infections (UTIs) are commonly present in these patients. Understanding the clinical and demographic profile of UTIs in cervical cancer patients, including risk factors, microbial spectrum, and antibiotic resistance patterns, is crucial for improving therapeutic strategies. However, existing literature on this topic is limited, and few studies have assessed UTIs in relation to treatment timing or emerging resistance trends in the Indian context. This retrospective study was designed to address this gap. It aimed to assess the prevalence and distribution of UTIs in carcinoma cervix patients, identify their common symptoms and complications, evaluate the microbiological profiles and resistance patterns of isolated organisms, and determine key risk factors contributing to UTI development.
MATERIAL AND METHODS
This study took place in the Radiation Oncology Department of a Government Medical College in Eastern India, following IEC approval (No. EC/NEW/INST/2024/4296, 02-08-2024). All histologically confirmed cervical cancer patients seen between January 1 and December 31, 2024, excluding those who defaulted on treatment or had >10% missing data, were reviewed retrospectively. Confidentiality and anonymity were maintained. Data were recorded on a structured proforma covering demographics, symptoms, risk factors, clinical parameters, routine laboratory examination, and culture sensitivity study of urine. UTI was defined by ≥105 CFU/mL growth. IBM SPSS Statistics for Windows, version 20.0 (IBM Corp., Armonk, N.Y., USA) was used for statistical analysis. Descriptive statistics (median with inter-quartile range) summarised patient characteristics. Chi-square or Fisher’s exact tests, as applicable, were used to compare categorical variables. A p-value <0.05 was considered statistically significant. Odds ratios were used to assess the associations between categorical variables. A multivariate logistic regression identified independent UTI risk factors, yielding adjusted odds ratios. A sensitivity analysis was done by excluding patients with hematuria to confirm the robustness of the findings. Figure 1 shows the flow diagram of patients.

RESULTS
Demography
A total of 187 histologically confirmed cervical cancer patients were studied, out of a total of 218 cervical cancer patients after excluding ineligible cases. The median age was 54 years (interquartile range: 28). Most (70.1%) lived in rural areas and were from low-income households (65.2%) [Table 1].
| A. Age (all registered patients) | ||
| Median age | 54 years (interquartile range: 28 years)* | |
| Number | Percentage keep | |
| B. Other demographic profile (all registered patients) | ||
| Low socio-economic status | 122/187 | 65.2 |
| No formal education | 63/187 | 33.7 |
| Rural patients | 131/187 | 70.1 |
| Current smoker | 8/187 | 4.3 |
| Menopause | 39/187 | 20.9 |
| C. Clinical presentations of UTI patients | ||
| Asymptomatic bacteriuria | 9/52 | 17.3% |
| Pain/dysuria | 23/52 | 44.2% |
| Increased frequency of micturition | 22/52 | 42.3% |
| Fever | 14/52 | 26.9% |
| D. Temporal association of UTI patients | ||
| Before the start of treatment | 41/52 | 78.8 |
| Developed during chemoradiation | 3/52 | 5.8 |
| During brachytherapy | 1/52 | 1.9 |
| Within 1 month of treatment completion | 6/52 | 11.5 |
| After 1 month of treatment completion | 1/52 | 1.9 |
Urine examination was performed in 151 (80.7%) patients, and 52 (27.8%) had culture-confirmed UTIs [Figure 2]. The majority of infections (78.8%) were detected before commencing cancer treatment [Figure 3]. Pain or dysuria (44.2%), urinary frequency (42.3%), and fever (26.9%) were the most common symptoms. Asymptomatic bacteriuria occurred in 17.3%. Sterile pyuria, defined by elevated white blood cells (10 or more per cubic millimetre) without significant bacterial infection, was found in 8 patients.


Univariate analysis
Postmenopausal women faced the highest UTI risk (64.1% vs. 4.7% in premenopausal women; OR = 35.97, p <0.001, phi = 0.640) (Table 2, Figure 4). Albuminuria increased risk to 41.2% (OR = 4.06, p = 0.012, phi = 0.202), and hydronephrosis to 31.1% (OR = 3.11, p = 0.004, phi = 0.209). International Federation of Gynaecology and Obstetrics (FIGO) Stage IIIB was associated with a 32.1% UTI rate (OR = 2.80, p = 0.030), and current smokers had a 50.0% rate (OR = 5.39, p = 0.030). Chronic kidney disease carried a 38.9% risk (OR = 3.67, p = 0.018). Other factors, including glycosuria, ketonuria, hematuria, diabetes, hypertension, obesity, bladder changes, Stage IVA, renal impairment, catheter use, antibiotics, nephrolithiasis, pyometra, uroflow abnormalities, neutropenia, steroid use, and vesicovaginal fistula, showed no significant associations.

| Factors studied | Distribution (out of 187) | Probability of risk | Association | Univariate analysis | ||||
|---|---|---|---|---|---|---|---|---|
| Factor | Infection is present, Factor present | Infection is absent, Factor absent | Absolute risk (AR) | Absolute risk difference (ARD) | p value | Effect size | Interpretation | Odds ratio (OR) |
| Albuminuria | 7, 17 | 145, 170 | 0.412 | 0.265 | 0.012 | 0.202 | Significant association, Moderate effect | 4.060 |
| Glycosuria | 3, 9 | 149, 178 | 0.333 | 0.170 | 0.185 | 0.097 | 2.569 | |
| Ketonuria | 2, 3 | 154, 184 | 0.667 | 0.504 | 0.076 | 0.168 | 10.267 | |
| Haematuria | ¼ | 152, 183 | 0.250 | 0.081 | 0.531 | 0.031 | 1.634 | |
| Diabetes | 8, 37 | 126, 150 | 0.216 | 0.056 | 0.416 | 0.059 | 1.448 | |
| Hypertension | 6, 25 | 136, 162 | 0.240 | 0.080 | 0.390 | 0.072 | 1.652 | |
| Obesity | 4, 15 | 144, 172 | 0.267 | 0.104 | 0.294 | 0.075 | 1.870 | |
| Hydronephrosis | 14, 45 | 124, 142 | 0.311 | 0.184 | 0.004 | 0.209 | Significant association, Moderate effect | 3.111 |
| Bladder thickening | 12, 48 | 119, 139 | 0.250 | 0.106 | 0.092 | 0.123 | 1.983 | |
| Stage IIIB | 9, 28 | 136, 159 | 0.321 | 0.177 | 0.030 | 0.167 | Significant association, Weak effect | 2.801 |
| Stage IVA | 2, 5 | 152, 182 | 0.400 | 0.235 | 0.203 | 0.101 | 3.378 | |
| Current smoker | 4, 8 | 151, 179 | 0.500 | 0.344 | 0.030 | 0.185 | Significant association, Weak effect | 5.393 |
| Raised creatinine | 7, 44 | 118, 143 | 0.159 | -0.016 | 0.809 | 0.018 | 0.893 | |
| Catheterisation | 2, 9 | 148, 178 | 0.222 | 0.054 | 0.653 | 0.031 | 1.410 | |
| Vesico-vaginal fistula | 0, 1 | 154, 186 | 0.000 | -0.172 | 1.000 | 0.033 | 0.000 | |
| Antibiotic Use | 10, 49 | 116, 138 | 0.204 | 0.045 | 0.476 | 0.052 | 1.352 | |
| Nephrolithiasis | 1, 13 | 143, 174 | 0.077 | -0.101 | 0.701 | 0.068 | 0.384 | |
| Pyometra | 5, 43 | 117, 144 | 0.116 | -0.071 | 0.277 | 0.08 | 0.570 | |
| Uroflowmetry abnormalities | 1, 2 | 154, 185 | 0.500 | 0.332 | 0.314 | 0.091 | 4.968 | |
| Neutropenia | 0, 3 | 152, 184 | 0.000 | -0.174 | 1.000 | 0.058 | 0.000 | |
| Steroid use | ¼ | 152, 183 | 0.250 | 0.081 | 0.531 | 0.031 | 1.634 | |
| Chronic kidney disease | 7, 18 | 144, 169 | 0.389 | 0.241 | 0.018 | 0.189 | Significant association, Weak effect | 3.665 |
| Menopause | 25, 39 | 141, 148 | 0.641 | 0.594 | <0.001 | 0.64 | Significant association, Strong effect | 35.969 |
| Adenocarcinoma | 1, 11 | 145, 176 | 0.909 | 0.085 | 0.693 | 0.053 | 0.468 | |
p <0.05 is sgnificant. UTI: Urinary tract infection.
Multivariate logistic regression
It revealed that postmenopausal status was the strongest predictor for the occurrence of UTIs (aOR = 0.015; p < 0.001), implying 66.7-fold higher odds [Table 3]. Glycosuria (aOR = 0.025; p = 0.020) and ketonuria (aOR = 0.016; p = 0.028) conferred 40 and 62.5 fold increased odds, respectively. Albuminuria (aOR = 0.069; p = 0.020) and Stage IIIB disease (aOR = 0.065; p = 0.011) also retained significance. Hydronephrosis and CKD lost significance after adjustment. Excluding hematuria cases for sensitivity analysis did not alter the significance of menopause or glycosuria. Subgroup analyses for steroids and diabetes showed no significance.
| Independent predictors | B (Regression coefficient) | Standard error of B (SE) | p-value | Exp (B) for absence | OR for presence (1/Exp (B)) |
|---|---|---|---|---|---|
| Albuminuria | –2.676 | 1.150 | 0.020 | 0.069 | 14.49 |
| Glycosuria | –3.677 | 1.581 | 0.020 | 0.025 | 40.00 |
| Ketonuria | –4.164 | 1.900 | 0.028 | 0.016 | 62.50 |
| FIGO stage IIIB | –2.737 | 1.075 | 0.011 | 0.065 | 15.38 |
| Menopausal status | –4.176 | 1.003 | <0.001 | 0.015 | 66.67 |
p < 0.05 is sgnificant. Exp(B): Exponentiated coefficient, FIGO: International Federation of Gynaecology and Obstetrics
Culture and sensitivity
In the culture, positive urine results, Escherichia coli dominated (84.6%), followed by Klebsiella pneumoniae (13.5%), and only one polymicrobial case [Table 4, Figure 5]. Both organisms retained full susceptibility to carbapenems (imipenem and meropenem MIC 0.25 µg/mL; ertapenem MIC 0.5 µg/mL) and aminoglycosides (amikacin MIC 2 µg/mL; gentamicin MIC 1 µg/mL). In contrast, high resistance was noted to co-amoxiclav and ampicillin (MIC 32), fluoroquinolones (MIC 4-16), and piperacillin/tazobactam (MIC 128 for E. coli; intermediate MIC 16 for Klebsiella).

| Sensitive | Resistant | Different sensitivity | ||||
|---|---|---|---|---|---|---|
| Drugs | Median MIC (µg/mL) | Drugs | Median MIC (µg/mL) | Drugs | Median MIC (µg/mL) against E. coli | Median MIC (µg/mL) against Klebsiella |
| Amikacin | 2 | Co-amoxyclav | 32 | Cefixime | 0.5 (Sensitive) | 4 (Resistant) |
| Ceftazidime | 1 | Ampicillin | 32 | Fosfomycin | 16 (Sensitive) | 256 (Resistant) |
| Ceftriaxone | 1 | Ciprofloxacin | 4 | 16 (Sensitive) | 128 (Resistant) | |
| Doxycycline | 23 | Nalidixic acid | 32 | Piperacillin / Tazobactam | 128 (Resistant) | 16 (Intermediate) |
| Ertapenem | 0.5 | Norfloxacin | 16 | TMP/SM | 20 (Sensitive) | 320 (Resistant) |
| Gentamicin | 1 | Ofloxacin | 8 | |||
| Imipenem | 0.25 | |||||
| Levofloxacin | 28 | |||||
| Meropenem | 0.25 | |||||
TMP: Trimethoprim, SM: Sulfamethoxazole, MIC: Minimum inhibitory concentration
DISCUSSION
The influence of urinary tract infection in the diagnosis or treatment of cervical cancer
Unilateral or bilateral ureteral obstruction leading to hydronephrosis is a common complication of advanced cervical cancer. The resulting urinary stasis predisposes the patient to recurrent or complicated UTIs (pyelonephritis), which can be a clinical sign of this advanced, obstructive pathology. A severe infection of the upper urinary tract serves as a clinical red flag for potentially undiagnosed advanced cervical cancer, causing ureteral obstruction.[1]
Mimicry of symptoms
Early-stage cervical cancer is often asymptomatic. When symptoms do appear, they can be easily mistaken for common urogenital conditions like a UTI[2], which can potentially lead to a delay in definitive diagnosis or misattribution of symptoms. Urinary frequency or urgency is a common and primary symptom of acute cystitis. When observed in the context of persistent vaginal bleeding or discharge, these symptoms warrant a comprehensive gynaecologic evaluation, including a Pap test and colposcopy, to exclude underlying cervical pathology.
Painful urination is the hallmark symptom of lower UTI. In cervical cancer, dysuria can result from inflammatory changes of the adjacent bladder (trigonitis) or direct tumour extension to the bladder (Stage IVA cervical cancer). Therefore, persistence of dysuria despite appropriate antibiotic therapy should prompt further investigation.[3]
Pelvic discomfort or pain can be present in severe UTIs or pelvic inflammatory disease, as well as advanced cervical cancer with involvement of the parametrium. Persistent or non-specific pelvic pain requires ruling out gynecologic malignancy, even if an initial workup suggests a UTI.[2]
Abnormal vaginal discharge in cervical cancer can be mistaken for discharge associated with severe vaginitis (e.g., bacterial vaginosis or candidiasis). While a UTI itself does not cause abnormal vaginal discharge, the proximity of the urogenital tracts means discharge, especially if watery, bloody, or foul-smelling, may be incorrectly attributed to an infectious process rather than a friable tumour.
Magnitude of the problem
Research shows that urinary tract infections (UTIs) are common in patients with solid tumours, especially those arising from the pelvis. Recurrent UTIs occur mostly in bladder tumour patients.[3]
UTIs represent a significant comorbidity in cervical cancer patients.[4] 12.5 to 43.1% of urine samples collected from cervical cancer patients showed significant bacterial growth in different studies.[5,6] However, the exact incidence varies based on cancer stage and individual factors.[5]
Age,[7] urolithiasis (19.6%),[4] immunosuppressive therapy,[6] and diabetes mellitus (23.9%)[4,7] are commonly recognised causes of UTI in cervical cancer. 26% of infections are linked to febrile neutropenia.[4] Apart from causing UTI, diabetes mellitus (DM),[8] often associated with obesity,[9] also modifies the outcome of cervical adenocarcinoma. Some studies reveal that diabetes in postmenopausal women may even increase the risk of cervical cancer.[10]
Invasive surgery[6] is an important cause of UTI in cervical cancer patients. After radical surgery, common issues include weak bladder contractions, overactive bladder, incontinence, low bladder compliance, fistulas, and hydronephrosis. Nerve-sparing surgery has helped reduce these bladder problems.[11] Duration of surgery, blood loss, catheterisation time, and urinary retention are independent risk factors in cervical cancer patients for the causation of UTIs,[7] especially after radical hysterectomy. Catheter-associated UTIs are more common, particularly in current smokers and those with prolonged catheter use.[5,12] A nomogram model was created by Zou et al. using multivariate analysis to predict the risk of developing catheter-associated UTIs, who found that the duration of urinary catheterisation, presence of urinary leukocyte esterase, and positive urine culture were independent risk factors for catheter-associated UTIs after radical hysterectomy for cervical cancer.[13]
Patients during chemotherapy (82.6%)[4] and radiotherapy[14] are at higher risk of UTIs. UTIs are more common in stage III cervical cancer patients (33.3%) compared to stage II (16.7%) during radiotherapy.[14] Better technology, such as conformal radiotherapy, has reduced these complications.[11] However, the study by Prasad et al. revealed that half of the patients undergoing external pelvic radiotherapy experience recurrent infections despite appropriate antibiotic therapy. This study highlighted the need for regular mid-stream screening in gynaecological cancer patients during radiotherapy for timely diagnosis and antibiotic treatment to prevent further damage to the already vulnerable uroepithelium caused by radiation.[14]
E. coli is the most common organism isolated in cancer patients with UTI (40%).[15] In cervical cancer patients, the incidence of Escherichia coli (35.9%) infection is followed by Klebsiella. These are also the most common causes of UTIs after radical surgery for cervical cancer.[6,7] Polymicrobial UTIs are observed in 15% (7 patients).[4] Staphylococcus aureus is the most common Gram-positive bacterium, found four times more than coagulase-negative staphylococci.[6]
A study of resistance patterns to common antibiotics reveals that Escherichia coli showed resistance to cefotaxime in 25% of cases and ciprofloxacin in 39.3%.[4] Most bacterial isolates were resistant to ampicillin, followed by cotrimoxazole and cefixime. Polymyxin B and imipenem are the most effective against Gram-negative bacteria. Vancomycin and azithromycin are most effective against Gram-positive bacteria.[6]
Complications
Complications of urinary tract infection in cervical cancer patients have been highlighted in different studies. A few studies indicate that urinary tract infection might even increase the incidence of urothelial malignancies.[16] Long-term urological complications, such as ureteral stricture and resultant hydronephrosis, are known sequelae of radiotherapy. Patients with chronic ureteral stents placed for obstruction relief have a higher rate of recurrent UTIs and subsequent pain, requiring multiple procedures for management over time.[17] Severe or recurrent UTIs, especially those that progress to pyelonephritis, can lead to treatment intolerance or the need to discontinue or delay scheduled radiation or concurrent chemotherapy, potentially compromising the therapeutic efficacy and overall prognosis.[18] The occurrence of a severe, complicated UTI or a late-onset infection associated with a urological complication (like stricture or stent) is a significant morbidity event, impacting quality of life and increasing the risk of death, especially if the infectious organism is multidrug-resistant.[18]
Comparison of the current study results with existing literature
The prevalence of UTI of 27.8% in the current study falls within the range (12.5-43.1%) reported by previous studies. Unlike others, who observed peaks during chemotherapy (82.6%), we detected most infections before treatment.
Escherichia coli represented 84.6% of isolates in our cohort, well above what has been noted elsewhere, while Klebsiella rates were comparable. Local microbial ecology, antibiotic-use patterns, and strict culture criteria (≥105 CFU/mL) may account for this difference. We found postmenopausal status, FIGO Stage IIIB, albuminuria, glycosuria, and ketonuria to be significant UTI predictors. In contrast, other studies highlighted diabetes, urolithiasis, and immunosuppression as predictors likely reflecting different patient mixes.
Earlier work reported cefotaxime resistance (25%) and ciprofloxacin resistance (39.3%), with polymyxin B and imipenem being most effective. Our isolates were uniformly susceptible to aminoglycosides but showed high resistance to beta-lactams in addition to quinolones, except levofloxacin. Nitrofurantoin, fosfomycin, and trimethoprimsulfamethoxazole are effective oral therapies for E. coli UTIs, but are unreliable against Klebsiella. These differences might highlight variations in socioeconomic factors or prescribing differences.
How our findings help
Our study emphasises the need for routine pre-treatment urine culture in cervical cancer patients. Recognising high-risk factors, as determined in our study, can help prioritise monitoring in these vulnerable subgroups. Local culture sensitivity patterns can help in selecting effective empiric antibiotics while awaiting culture results.
Limitations
This single-centre, cross-sectional study is limited by small subgroup sizes (e.g., diabetics, immunosuppressed) and a lack of follow-up data on recurrence or post-therapy infections. Potential residual confounders may exist from unmeasured variables. Thus, generalizability may be restricted except in the need for pre-treatment detection of infections. As a continuation of this study, we plan a community-based study examining social and hygiene practices, such as bathing water quality, toilet type, and sanitary pad use, to better understand risk factors for UTI in cervical cancer patients.
TAKE HOME MESSAGE
Postmenopausal status, FIGO Stage IIIB disease, and glycosuria are independent predictors of UTI in cervical cancer patients. Testing for UTI before starting treatment is needed for timely diagnosis. Nitrofurantoin, fosfomycin, and trimethoprim-sulfamethoxazole are effective oral therapies for E. coli UTIs, but are unreliable against Klebsiella. In severe cases, carbapenems or aminoglycosides are good choices. Co-amoxiclav, ampicillin, and fluoroquinolones (except levofloxacin) should be avoided due to high resistance. Timely diagnosis and tailoring empiric treatment to local susceptibility patterns will help manage infections more effectively.
Ethical approval:
The research/study approved by the Institutional Review Board at Bankura Sammilani Medical College, number EC/NEW/INST/2024/4296, dated 2nd August 2024.
Declaration of patient consent:
Patient’s consent not required as patients identity is not disclosed or compromised.
Conflicts of interest:
There are no conflicts of interest.
Use of artificial intelligence (AI)-assisted technology for manuscript preparation:
The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using the AI.
Financial support and sponsorship: Nil.
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