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Stocki JA, Fleck RC, Nguyen IB, Walde R, Mobley HLT, Shea AE. Asymptomatic bacteriuria screening for developing countries using a modified water quality test kit. Appl Environ Microbiol 2024; 90:e0156724. [PMID: 39475268 DOI: 10.1128/aem.01567-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2024] [Accepted: 09/27/2024] [Indexed: 11/21/2024] Open
Abstract
Between 2% and 15% of pregnant women unknowingly experience asymptomatic bacteriuria (ASB), defined as ≥105 CFU per milliliter of urine in the absence of symptoms. ASB increases the risk of adverse pregnancy outcomes including pyelonephritis, preterm labor, and low-birth weight infants. While pregnant women in the United States are routinely screened for ASB, those in developing countries with limited resources and funding lack an accurate mechanism for ASB screening. Aquagenx water quality test kits detect Escherichia coli, the most common causative agent of ASB, and total coliform bacteria in drinking water via colorimetric and fluorescent indicators. We found that the Aquagenx system is compatible with human urine and then proceeded to develop an ASB screening protocol using disposable inoculating loops. Our protocol diagnosed artificial ASB- samples (104 CFU/mL E. coli) with a false positive (FP) rate of 33% (n = 18) and ASB+ (105 CFU/mL E. coli) with a false negative (FN) rate of 5.6% (n = 18). Clinical sample testing with our protocol revealed a FP rate of 0% in ASB- samples (n = 28) and a FN rate of 0% in ASB+ samples caused by coliforms (n = 13). Aquagenx did not detect ASB in nine clinical samples with non-coliform etiological agents due to the limitations of the technology. However, with very high accuracy for detection of E. coli and other causative agents that collectively account for 90.1% of ASB cases, these kits could be used as a diagnostic ASB screening tool in developing countries in which there is currently no alternative to urine culture.IMPORTANCEAsymptomatic bacteriuria (ASB) affects 2%-15% of pregnant women and can result in adverse maternal and fetal outcomes if left undetected and untreated. In the United States and other developed nations, pregnant women are regularly screened for ASB via urine culture. However, in low-resource countries where bacterial culture is not available, dipstick testing is used. Although accurate in cases of symptomatic bacteriuria, dipstick detection is ineffective for detecting ASB. Here, we made use of an existing water quality field test for ASB urine screening, which would be readily deployable in low-resource settings. We optimized a dilution protocol for sampling patient urine within the detection limits of the Aquagenx kit technology. Overall, we were able to detect ASB samples with Gram-negative pathogens that collectively account for 90% of all ASB cases. Utilization of this repurposed technology for proactive medical screening may help prevent adverse pregnancy and birth outcomes due to ASB.
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Affiliation(s)
- Jolie A Stocki
- Tufts University School of Medicine, Boston, Massachusetts, USA
| | - Rachel C Fleck
- Department of Microbiology and Immunology, University of South Alabama, Frederick P. Whiddon College of Medicine, Mobile, Alabama, USA
| | - Ivy B Nguyen
- Department of Microbiology and Immunology, University of South Alabama, Frederick P. Whiddon College of Medicine, Mobile, Alabama, USA
| | - Ryan Walde
- Department of Pathology, University of South Alabama, Frederick P. Whiddon College of Medicine, Mobile, Alabama, USA
| | - Harry L T Mobley
- Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Allyson E Shea
- Department of Microbiology and Immunology, University of South Alabama, Frederick P. Whiddon College of Medicine, Mobile, Alabama, USA
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Grant A, Bai K, Badalato GM, Rutman MP. Advances in the Treatment of Urinary Tract Infection and Bacteriuria in Pregnancy. Urol Clin North Am 2024; 51:571-583. [PMID: 39349024 DOI: 10.1016/j.ucl.2024.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/02/2024]
Abstract
Understanding the management of asymptomatic bacteriuria (ASB) and urinary tract infection (UTI) during pregnancy is important, given the prevalence of these conditions, associated risks to the mother and fetus /newborn, and potential requirement for antibiotic treatment. Screening for ASB with a urine culture is required during pregnancy, and a positive culture is treated for 5 to 7 days with culture-specific antibiotics. Recent research on non-antibiotic prevention and shortened duration of antibiotic treatment may offer a slightly different approach to ASB and UTI in pregnancy.
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Affiliation(s)
- Allison Grant
- Department of Urology, 161 Fort Washington Avenue, 11th floor, New York, NY 10032, USA.
| | - Ketty Bai
- Department of Urology, 161 Fort Washington Avenue, 11th floor, New York, NY 10032, USA
| | - Gina M Badalato
- Department of Urology, 161 Fort Washington Avenue, 11th floor, New York, NY 10032, USA
| | - Matthew P Rutman
- Department of Urology, 161 Fort Washington Avenue, 11th floor, New York, NY 10032, USA
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Bergbower SB, Saad AF, Williams-Bouyer NM, Rajendran R. Implementation of an algorithm for testing, diagnosis, and antibiotic stewardship of asymptomatic bacteriuria in pregnancy. Am J Obstet Gynecol MFM 2024; 6:101516. [PMID: 39374658 DOI: 10.1016/j.ajogmf.2024.101516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2024] [Revised: 09/25/2024] [Accepted: 09/28/2024] [Indexed: 10/09/2024]
Abstract
BACKGROUND Asymptomatic bacteriuria affects 2% to 15% of pregnant women, with 20% to 40% developing symptoms later. Symptomatic urinary tract infections are more common in pregnancy, with a prevalence of 33%, posing risks, such as preterm delivery, low birthweight, and maternal pyelonephritis. The gold standard for urinary tract infection detection is a urine culture, but point-of-care urinalysis dipsticks are frequently performed as screens during regular obstetrical visits. Leukocyte esterase has been used to justify the treatment of asymptomatic bacteriuria, even with low sensitivity and specificity. Confirmatory tests are crucial for avoiding false positives and ensuring optimal outcomes. Current guidelines for urinalysis dipstick interpretation and the decision to treat asymptomatic bacteriuria in pregnancy are limited. It remains unclear whether an evidence-based algorithm can improve test utilization, diagnosis, and treatment decisions for asymptomatic bacteriuria in pregnancy. OBJECTIVE The primary objective of our study was to develop, implement, and evaluate an evidence-based algorithm to guide urinalysis interpretation, culture, diagnosis, and antibiotic stewardship of asymptomatic bacteriuria in pregnant patients during routine obstetric visits. STUDY DESIGN The project involves both retrospective and quasi-experimental prospective medical record reviews of pregnant patients aged ≥18 years, beyond 20 weeks of gestation, from routine obstetrical visits with urinalysis dipstick tests. A doctorate in clinical laboratory sciences student developed an educational algorithm to guide urinalysis dipstick interpretation, culturing necessity, and treatment decisions based on evidence-based practice. Our study considered patient records from February 1, 2022, to February 28, 2022, as retrospective (prealgorithm implementation) data and January 24, 2023, to February 22, 2023, as prospective (postalgorithm implementation) data. Data collected from the electronic medical record included deidentified patient information, urinalysis results, culture dates and outcomes, antibiotic prescriptions, urinary tract infection or asymptomatic bacteriuria diagnoses, provider details, adverse pregnancy outcomes, and demographics. Data analysis using SPSS (version 29; SPSS IBM, Armonk, NY) involved chi-square tests, likelihood ratios, and effect size calculations, with P values of <.05 considered statistically significant. RESULTS This study examined a total of 1176 patient records. Preimplementation data included 440 records, of which 224 were abnormal urinalyses and 216 were normal urinalyses. Postimplementation data included 736 records, of which 255 were abnormal urinalyses and 481 were normal urinalysis. The patient demographics predominantly featured White individuals (87%), with a median maternal age of 27 years and a gestational age of 32 weeks. Our preimplementation analyses revealed significant associations of algorithm deviations with both culture utilization (P<.001) and antibiotic stewardship (P<.001). However, no significant association was observed between algorithm deviations and adverse patient outcomes. Culture underutilization decreased significantly from 43.0% (189/440) before implementation to 29.5% (217/736) after implementation (P<.001). The overall reduction in asymptomatic bacteriuria prevalence from 16.3% (8/49) to 6.7% (10/67) suggests a decrease of nearly 60.0%. In addition, antibiotic overprescription decreased significantly from 1.6% (4/258) before implementation to 0.8% (4/522) after implementation (P=.003), with a reduction from 7.1% (3/42) to 2.4% (1/41) among abnormal urinalyses. CONCLUSION Our findings show a strong alignment between the use of the algorithm and subsequent clinical decisions, underscoring its potential to enhance patient care and management in obstetrical settings. Adherence to the algorithm was higher among providers displaying prudent antibiotic use.
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Affiliation(s)
- Sarah B Bergbower
- Department of Clinical Laboratory Sciences, The University of Texas Medical Branch, Galveston, TX (Bergbower and Rajendran); Department of Life Sciences, Illinois Eastern Community Colleges, Olney Central College, Olney, IL (Bergbower)
| | - Antonio F Saad
- Department of Obstetrics and Gynecology, The University of Texas Medical Branch, Galveston, Texas (Saad); Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Inova Fairfax Hospital, Falls Church, VA (Saad)
| | - Natalie M Williams-Bouyer
- Division of Clinical Microbiology, Department of Pathology, University of Texas Medical Branch, Galveston, TX (Williams-Bouyer)
| | - Rajkumar Rajendran
- Department of Clinical Laboratory Sciences, The University of Texas Medical Branch, Galveston, TX (Bergbower and Rajendran).
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Ito W, Choi N, Letner G, Genz N, Prokop D, Valadon C, Sardiu ME, Smith H, Whiles BB, Molina WR. Preoperative urine culture with contaminants is not associated with increased risk for urinary tract infection after ureteroscopic stone treatment. World J Urol 2024; 42:159. [PMID: 38488875 DOI: 10.1007/s00345-024-04793-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 01/16/2024] [Indexed: 03/17/2024] Open
Abstract
PURPOSE We aimed to assess whether the presence of contaminants in the pre-operative urine culture (preop-UC) predicts postoperative urinary tract infection (postop-UTI) in patients undergoing elective ureteroscopy with laser lithotripsy. METHODS A retrospective chart review was performed from 01/2019 to 12/2021 examining patients with unilateral stone burden ≤ 2 cm who underwent ureteroscopy with laser lithotripsy and had a preop-UC within 3 months. Positive, negative, contaminated, and polymicrobial definitions for UCs were established in accordance with current guidelines. Patients with positive and polymicrobial cultures were excluded. Postop-UTI was defined as the presence of urinary symptoms and a positive UC within 30 days of the procedure. Multivariable logistic regression models were utilized to evaluate risk factors for contamination in the preop-UC and the risk of postop-UTI. RESULTS A total of 201 patients met the inclusion-exclusion criteria. Preop-UC was negative in 153 patients and contaminated in 48 patients. Significant contaminant-related factors included female gender and increased BMI. Postop-UTI was diagnosed in 3.2% of patients with negative preop-UCs and 4.2% of patients with contaminants, with no difference between groups (p = 0.67). The regression model determined that the presence of contaminants in preop-UC failed to predict postop-UTI (OR 0.69, p = 0.64). CONCLUSION The presence of contaminants in preop-UCs is not associated with an increased risk of postop-UTIs after ureteroscopy. Our study supports that contaminants in the preop-UC can be interpreted as a negative UC in terms of postop-UTI risk stratification. Preoperative antibiotics should not be prescribed for patients undergoing uncomplicated ureteroscopy for stone surgery in the setting of a contaminated preop-UC.
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Affiliation(s)
- Willian Ito
- Department of Urology, The University of Kansas Health System, Kansas City, KS, USA
| | - Nicholas Choi
- School of Medicine, The University of Kansas, Kansas City, KS, USA
| | - George Letner
- School of Medicine, The University of Kansas, Kansas City, KS, USA
| | - Nicholas Genz
- School of Medicine, The University of Kansas, Kansas City, KS, USA
| | - Dillon Prokop
- School of Medicine, The University of Kansas, Kansas City, KS, USA
| | - Crystal Valadon
- Department of Urology, The University of Kansas Health System, Kansas City, KS, USA
| | - Mihaela E Sardiu
- Department of Biostatistics and Data Science, University of Kansas, 3901 Rainbow Boulevard, Mail Stop #3016, Kansas City, KS, 66160, USA
| | - Holly Smith
- Department of Biostatistics and Data Science, University of Kansas, 3901 Rainbow Boulevard, Mail Stop #3016, Kansas City, KS, 66160, USA
| | - Bristol B Whiles
- Department of Urology, The University of Kansas Health System, Kansas City, KS, USA
| | - Wilson R Molina
- Department of Urology, The University of Kansas Health System, Kansas City, KS, USA.
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Abstract
SUMMARY Urinary tract infection (UTI) is one of the more common perinatal complications, affecting approximately 8% of pregnancies (1, 2). These infections represent a spectrum, from asymptomatic bacteriuria, to symptomatic acute cystitis, to the most serious, pyelonephritis. The presence of UTIs has been associated with adverse pregnancy outcomes, including increased rates of preterm delivery and low birth weight. Screening for and treating asymptomatic bacteriuria have been shown in multiple studies to reduce the incidence of pyelonephritis in pregnancy (3-5). Given the frequency at which UTIs are encountered in pregnancy, the ability to recognize, diagnose, and treat them is essential for those providing care to pregnant individuals. This Clinical Consensus document was developed using an established protocol in conjunction with the authors listed.
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O'Leary BD, Kelly L, Keane DP. Antenatal urinary retention: Risk factors, treatment, and effect on pelvic floor dysfunction. Eur J Obstet Gynecol Reprod Biol 2022; 271:15-19. [DOI: 10.1016/j.ejogrb.2022.01.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 01/24/2022] [Accepted: 01/28/2022] [Indexed: 11/04/2022]
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Patel R, Polage CR, Bard JD, May L, Lee FM, Fabre V, Hayden MK, Doernberg SDB, Haake DA, Trautner BW, Grigoryan L, Tsalik EL, Hanson KE. Envisioning Future UTI Diagnostics. Clin Infect Dis 2021; 74:1284-1292. [PMID: 34463708 DOI: 10.1093/cid/ciab749] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Indexed: 11/13/2022] Open
Abstract
Urinary tract infections (UTIs) are among the most common bacterial infections in the United States and are a major driver of antibiotic use - both appropriate and inappropriate - across healthcare settings. UTI treatment has become complex due to antibacterial resistance; one quarter of urinary tract isolates of Escherichia coli in the United States in 2017 were resistant to fluoroquinolones and one third to trimethoprimsulfamethoxazole (1), agents with historically predictable activity against E. coli. As a result, more broad-spectrum antibiotics are being used to treat UTIs, contributing to selection of further antibiotic resistance.
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Affiliation(s)
- Robin Patel
- Division of Infectious Diseases, Department of Medicine, Mayo Clinic, Rochester, MN, USA. Division of Clinical Microbiology, Mayo Clinic, Rochester, MN, USA
| | | | - Jennifer Dien Bard
- Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, CA, USA; Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Larissa May
- Department of Emergency Medicine, University of California-Davis Health, Sacramento, CA, USA
| | - Francesca M Lee
- Division of Infectious Diseases, Department of Pathology and Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Valeria Fabre
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mary K Hayden
- Division of Infectious Diseases, Rush Medical College, Chicago, IL, USA
| | - Sarah D B Doernberg
- Division of Infectious Disease, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - David A Haake
- Infectious Diseases Section, VA Greater Los Angeles Healthcare System, and the Division of Infectious Diseases, Department of Medicine, the David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Barbara W Trautner
- Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center and Department of Medicine, Baylor College of Medicine, Houston, USA
| | - Larissa Grigoryan
- Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center and Department of Medicine, Baylor College of Medicine, Houston, USA
| | - Ephraim L Tsalik
- Duke University Center for Applied Genomics and Precision Medicine, Durham, NC, USA; Durham Veterans Affairs Health Care System, Durham, NC, USA
| | - Kimberly E Hanson
- Department of Internal Medicine and Department of Pathology, University of Utah, Salt Lake City, UT, USA
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