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Yu X, Zhao P, Mai Z, Xu Q, Chen W, Wu Z, Luo X, Wu Z, Liu X, Wu Q, Zheng H, Xue Y. Evaluation of the Predictive Value of Urine Leukocyte Esterase Test in Chlamydia trachomatis and Neisseria gonorrhoeae Infection Among Males Attending HIV/STI Clinics in Guangdong Province, China. Front Med (Lausanne) 2022; 9:858165. [PMID: 35386911 PMCID: PMC8978786 DOI: 10.3389/fmed.2022.858165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 02/23/2022] [Indexed: 11/13/2022] Open
Abstract
Leukocyte esterase test (LET) detection is a simple and inexpensive test performed by urinalysis. This study investigated the predictive value of LET for Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (NG) infection among men attending HIV and sexually transmitted infection (HIV/STI) clinics in Guangdong Province, China. A total of 5,509 urine samples were collected from HIV and sexually transmitted infection clinics in Guangdong Province between 2017 and 2019. Specimens from 5,464 males were tested by both LET and nucleic acid amplification test (NAAT). Of 5,464 males, 497 (9.1%) tested positive for CT or NG by NAAT, with respective prevalence rates of 6.4% (95% confidence interval [95% CI]: 5.8-7.1%) and 3.8% (95% CI: 3.3-4.3%), including 1.2% (95% CI: 0.9-1.4%) co-infected. Compared to the HIV-negative individuals, individuals living with HIV tend to have a higher prevalence of CT, NG and co-infection with CT and NG. The LET sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for CT were 46.4% (95% CI: 41.2-51.7%), 92.0% (95% CI: 91.2-92.7%), 28.4% (95% CI: 24.8-32.1%), and 96.1% (95% CI: 95.6-96.7%), respectively. The LET sensitivity, specificity, PPV, and NPV for NG were 68.4% (95% CI: 62.1-74.7%), 91.8% (95% CI: 91.1-92.6%), 25.0% (95% CI: 21.4-28.5%), and 98.7% (95% CI: 98.3-99%), respectively. Compared to the HIV-negative individuals, higher sensitivity and specificity were observed for HIV-positive individuals, but there was no statistical difference. The incremental cost-effectiveness ratio (ICER) using economic costs per additional person CT positive and NG positive was -$238.74 and -$145.60 compared with LET positive, respectively. LET is a cost-effective test and will be valuable for predicting CT and NG infection, which is highly prevalent in low- and middle-income countries.
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Affiliation(s)
- Xueying Yu
- Department of Clinical Laboratory, Dermatology Hospital, Southern Medical University, Guangzhou, China.,Department of Clinical Laboratory, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai, China
| | - Peizhen Zhao
- Department of Clinical Laboratory, Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Zhida Mai
- Department of Clinical Laboratory, Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Qingqing Xu
- Department of Clinical Laboratory, Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Wentao Chen
- Department of Clinical Laboratory, Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Zhiqiao Wu
- Department of Clinical Laboratory, The Sixth People's Hospital of Dongguan, Dongguan, China
| | - Xiaojuan Luo
- Department of Clinical Laboratory, The First People's Hospital of Foshan, Foshan, China
| | - Zhizhou Wu
- Department of Clinical Laboratory, Dermatology Hospital of Jiangmen, Jiangmen, China
| | - Xiaofeng Liu
- Department of Clinical Laboratory, The Third People's Hospital of Zhuhai, Zhuhai, China
| | - Qian Wu
- Department of Clinical Laboratory, Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Heping Zheng
- Department of Clinical Laboratory, Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Yaohua Xue
- Department of Clinical Laboratory, Dermatology Hospital, Southern Medical University, Guangzhou, China
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Sheele JM, Elkins JM, Mohseni MM, Monas J, Campos SC, Benard RB, Mead-Harvey C, Mi L. Vaginal leukocyte counts for predicting sexually transmitted infections in the emergency department. Am J Emerg Med 2021; 49:373-377. [PMID: 34246967 DOI: 10.1016/j.ajem.2021.06.070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 06/02/2021] [Accepted: 06/28/2021] [Indexed: 10/20/2022] Open
Abstract
BACKGROUND The use of vaginal white blood cell (WBC) counts to predict sexually transmitted infections (STIs) in the emergency department (ED) is incompletely characterized. OBJECTIVES Our objective was to assess the relationship between vaginal wet preparation WBC counts and STIs and to determine whether WBC counts of at least 11 WBCs per high-power field (HPF) could be useful for identifying STIs in women in the ED. METHODS Female ED patients 18 years or older who were evaluated in a single health system between April 18, 2014, and March 7, 2017, and had a genital wet preparation WBC result were retrospectively examined using univariable and multivariable analysis. RESULTS Vaginal wet preparation WBC counts were examined for 17,180 patient encounters. Vaginal WBC counts of at least 11 WBCs/HPF were associated with increased odds of having gonorrhea, chlamydia, or trichomoniasis. When this threshold was used for the diagnosis of each STI, sensitivity ranged from 48.2% to 53.9%, and specificity ranged from 67.2% to 68.8%. CONCLUSION Women with STIs are more likely to have higher vaginal WBC counts. However, higher vaginal wet preparation WBC counts in isolation have limited diagnostic utility for gonorrhea, chlamydia, and trichomoniasis. Incorporation of age, urine leukocyte esterase results, and vaginal WBC counts provided a better predictor of an STI than vaginal WBC counts alone.
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Affiliation(s)
| | - Justin M Elkins
- Research Trainee (Limited Tenure), Mayo Clinic, Jacksonville, FL, USA
| | - Michael M Mohseni
- Department of Emergency Medicine, Mayo Clinic, Jacksonville, FL, USA
| | - Jessica Monas
- Department of Emergency Medicine, Mayo Clinic Hospital, Phoenix, AZ, USA
| | | | - Ronald B Benard
- Research Trainee (Limited Tenure), Mayo Clinic, Jacksonville, FL, USA
| | | | - Lanyu Mi
- Biostatistics, Mayo Clinic, Scottsdale, AZ, USA
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Elkins JM, Cantillo-Campos S, Thompson C, Mohseni M, Sheele JM. Descriptive Evaluation of Male Emergency Department Patients in the United States With Gonorrhea and Chlamydia. Cureus 2020; 12:e11244. [PMID: 33274127 PMCID: PMC7707132 DOI: 10.7759/cureus.11244] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Introduction Sexually transmitted infections are commonly tested for in the emergency department (ED), but diagnostic test results are often unavailable during the clinical encounter. Methods We retrospectively reviewed health records of 3,132 men ≥18 years that had an emergency department visit in northeast Ohio between April 18, 2014 and March 7, 2017. All subjects underwent testing for Neisseria gonorrhoeae and Chlamydia trachomatis. Independent t-tests and chi-square analyses were performed as well as multivariable regression analysis. Results On univariable analysis, men with N gonorrhoeae and/or C trachomatis, compared with uninfected men, were younger (25.9 vs 32.4 years), more likely to be of Black race (91.7% vs 85.6%), less likely to be married (3.7% vs 10.2%), less likely to arrive to the ED by ambulance or police (1.7% vs 4.1%), and more likely to be diagnosed with a urinary tract infection (8.3% vs 3.7%), to be treated for gonorrhea and chlamydia in the ED (84.6% vs 54.9%), and to have higher emergency severity index (ESI) scores (3.8 vs 3.6) (P ≤ .03 for all). On urinalysis, men infected with N gonorrhoeae and/or C trachomatis had significantly more white blood cells (55.1 vs 20.9); more mucus (1.3 vs 1.2); higher leukocyte esterase (1.5 vs .4); fewer squamous epithelial cells (.6 vs 1.4); higher urobilinogen (1.1 vs .8); higher bilirubin (.09 vs .05); and more protein (.4 vs .3) (P ≤ .04). Conclusions Demographic and urinalysis findings can be associated with an increased odds of men being infected with N gonorrhoeae and/or C trachomatis.
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Zhou J, Dong T. Design of a wearable device for real-time screening of urinary tract infection and kidney disease based on smartphone. Analyst 2018; 143:2812-2818. [DOI: 10.1039/c8an00157j] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
In this study, we developed a novel wearable and low-cost device for qualitative screening of glucose (GLU), leukocytes (LEU), and nitrite (NIT) and for semi-quantitative analysis of blood (BLD) and proteins (PRO) in the urine samples.
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Affiliation(s)
- Jianyu Zhou
- Institute of Applied Micro-Nano Science and Technology - IAMNST
- Chongqing Key Laboratory of Colleges and Universities on Micro-Nano Systems Technology and Smart Transducing
- Chongqing Engineering Laboratory for Detection
- Control and Integrated System
- National Research Base of Intelligent Manufacturing Service
| | - Tao Dong
- Department of Microsystems - IMS
- Faculty of Technology
- Natural Sciences and Maritime Sciences
- University of South-Eastern Norway
- Kongsberg
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Xue Y, Zheng H, Tang W, Mai Z, Huang J, Huang S, Qin X, Chen L, Zheng L. Prevalence and Genotype Distribution of Chlamydia trachomatis in Urine among Men Attending Sexually Transmitted Disease Clinics in Guangdong Province, China, in 2016. Jpn J Infect Dis 2017; 71:104-108. [PMID: 29279452 DOI: 10.7883/yoken.jjid.2017.358] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Studies have rarely assessed the genotype distribution of Chlamydia trachomatis (CT) in urine among men attending sexually transmitted disease clinics (MSCs) in China. This study was aimed at investigating the prevalence and molecular epidemiology of CT infection by examining urine samples among MSCs from different geographic areas of Guangdong Province, China. A cross-sectional study was conducted among MSCs from 10 human immunodeficiency virus sentinel surveillance sites in Guangdong Province. CT DNA was extracted from male urine samples and analyzed using a Roche cobas 4800 CT/NG. The ompA genes were amplified by nested PCR and sequenced. The leukocyte esterase test was performed by routine urine analysis at local clinics. Of the 1,903 samples, 163 (8.6%, 95% confidence interval [CI] 3.8-16.3%) tested positive for CT. The highest prevalence (10.5%) of CT infection was observed among participants aged between 21 and 30 years. A total of 130 CT-positive samples (79.8%, 130/163) were successfully genotyped by nested PCR, resulting in 8 genotypes. The most prevalent genotypes were D, E, F, and J, with proportions of 20.8%, 20.0%, 17.7%, and 16.9%, respectively. There were no significant correlations between the geographical areas, leukocyte esterase test results and genotype distribution. Promotion of detection and molecular epidemiology research is needed for effective and comprehensive prevention and control programs.
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Affiliation(s)
- Yaohua Xue
- Department of Clinical Laboratory, Nanfang Hospital, Southern Medical University/ The First School of Clinical Medicine, Southern Medical University.,Department of Research Center, Dermatology Hospital, Southern Medical University/Guangdong Provincial Dermatology Hospital
| | - Heping Zheng
- Department of Research Center, Dermatology Hospital, Southern Medical University/Guangdong Provincial Dermatology Hospital
| | - Weiming Tang
- SESH Research Team at the School of Medicine, University of North Carolina at Chapel Hill Project-China
| | - Zhida Mai
- Department of Research Center, Dermatology Hospital, Southern Medical University/Guangdong Provincial Dermatology Hospital
| | - Jinmei Huang
- Department of Research Center, Dermatology Hospital, Southern Medical University/Guangdong Provincial Dermatology Hospital
| | - Shujie Huang
- Department of Research Center, Dermatology Hospital, Southern Medical University/Guangdong Provincial Dermatology Hospital
| | - Xiaolin Qin
- Department of Research Center, Dermatology Hospital, Southern Medical University/Guangdong Provincial Dermatology Hospital
| | - Lei Chen
- Department of Research Center, Dermatology Hospital, Southern Medical University/Guangdong Provincial Dermatology Hospital
| | - Lei Zheng
- Department of Clinical Laboratory, Nanfang Hospital, Southern Medical University/ The First School of Clinical Medicine, Southern Medical University
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