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Campbell D, Lesser H, Ehsanipoor RM. Disseminated primary herpes simplex infection imitating preterm prelabor rupture of membranes - a case report. Case Rep Womens Health 2023; 39:e00528. [PMID: 37503307 PMCID: PMC10368810 DOI: 10.1016/j.crwh.2023.e00528] [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: 06/29/2023] [Revised: 07/07/2023] [Accepted: 07/10/2023] [Indexed: 07/29/2023] Open
Abstract
Background We describe a case of primary herpes simplex virus (HSV) infection imitating preterm prelabor rupture of membranes (PPROM) and review the intricacies of establishing the diagnosis. Case presentation At 18 weeks of gestation, a patient was referred for suspected PPROM following leakage of fluid and a positive nitrazine test. The patient had a swollen inguinal lymph node, intermittent fevers, transaminitis, labial lesions, and cervical ulceration with vaginal discharge. Amniotic fluid volume was normal. An HSV PCR test was positive. Intravenous acyclovir followed by oral valacyclovir resulted in resolution of symptoms. Conclusion Discharge from HSV cervicitis can present as nitrazine-positive pooling, imitating PPROM. A high index of suspicion is warranted, especially when the amniotic fluid volume is normal and arborization is not seen on microscopic exam.
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Affiliation(s)
- Dylan Campbell
- Corresponding author at: 2401 W Belvedere Ave, Baltimore, MD 21215, United States.
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Nichols JH, Ali M, Anetor JI, Chen LS, Chen Y, Collins S, Das S, Devaraj S, Fu L, Karon BS, Kary H, Nerenz RD, Rai AJ, Shajani-Yi Z, Thakur V, Wang S, Yu HYE, Zamora LE. AACC Guidance Document on the Use of Point-of-Care Testing in Fertility and Reproduction. J Appl Lab Med 2022; 7:1202-1236. [DOI: 10.1093/jalm/jfac042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 05/11/2022] [Indexed: 11/14/2022]
Abstract
Abstract
Background
The AACC Academy revised the reproductive testing section of the Laboratory Medicine Practice Guidelines: Evidence-Based Practice for Point-of-Care Testing (POCT) published in 2007.
Methods
A panel of Academy members with expertise in POCT and laboratory medicine was formed to develop guidance for the use of POCT in reproductive health, specifically ovulation, pregnancy, premature rupture of membranes (PROM), and high-risk deliveries. The committee was supplemented with clinicians having Emergency Medicine and Obstetrics/Gynecology training.
Results
Key recommendations include the following. First, urine luteinizing hormone (LH) tests are accurate and reliable predictors of ovulation. Studies have shown that the use of ovulation predicting kits may improve the likelihood of conception among healthy fertile women seeking pregnancy. Urinary LH point-of-care testing demonstrates a comparable performance among other ovulation monitoring methods for timing intrauterine insemination and confirming sufficient ovulation induction before oocyte retrieval during in vitro fertilization. Second, pregnancy POCT should be considered in clinical situations where rapid diagnosis of pregnancy is needed for treatment decisions, and laboratory analysis cannot meet the required turnaround time. Third, PROM testing using commercial kits alone is not recommended without clinical signs of rupture of membranes, such as leakage of amniotic fluid from the cervical opening. Finally, fetal scalp lactate is used more than fetal scalp pH for fetal acidosis due to higher success rate and low volume of sample required.
Conclusions
This revision of the AACC Academy POCT guidelines provides recommendations for best practice use of POCT in fertility and reproduction.
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Affiliation(s)
| | | | | | | | - Yu Chen
- Dr. Everett Chalmers Regional Hospital, Horizon Health Network, Dalhousie University, and Memorial University , Fredericton, NB , Canada
| | - Sean Collins
- Vanderbilt University Medical Center , Nashville, TN , USA
- Geriatric Research, Education and Clinical Center, Tennessee Valley Healthcare System , Nashville, TN , USA
| | - Saswati Das
- Dr. Ram Manohar Lohia Hospital, Atal Bihari Vajpayee Institute of Medical Sciences , New Delhi , India
| | - Sridevi Devaraj
- Texas Children’s Hospital and Baylor College of Medicine , Houston, TX , USA
| | - Lei Fu
- Sunnybrook Health Sciences Center , Toronto, ON , Canada
| | | | - Heba Kary
- King Fahd Armed Forces Hospital , Jeddah , Saudi Arabia
| | | | - Alex J Rai
- Columbia University College of Physicians and Surgeons and New York Presbyterian Hospital , New York, NY , USA
| | - Zahra Shajani-Yi
- Laboratory Corporation of America (LabCorp) , San Diego, CA, USA
| | - Vinita Thakur
- Eastern Health Authority, Health Science Center and Memorial University , St. John’s, NL , Canada
| | - Sihe Wang
- Akron Children’s Hospital , Akron, OH , USA
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Zhang LX, Sun Y, Zhao H, Zhu N, Sun XD, Jin X, Zou AM, Mi Y, Xu JR. A Bayesian Stepwise Discriminant Model for Predicting Risk Factors of Preterm Premature Rupture of Membranes: A Case-control Study. Chin Med J (Engl) 2018; 130:2416-2422. [PMID: 29052561 PMCID: PMC5684638 DOI: 10.4103/0366-6999.216396] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Preterm premature rupture of membrane (PPROM) can lead to serious consequences such as intrauterine infection, prolapse of the umbilical cord, and neonatal respiratory distress syndrome. Genital infection is a very important risk which closely related with PPROM. The preliminary study only made qualitative research on genital infection, but there was no deep and clear judgment about the effects of pathogenic bacteria. This study was to analyze the association of infections with PPROM in pregnant women in Shaanxi, China, and to establish Bayesian stepwise discriminant analysis to predict the incidence of PPROM. METHODS In training group, the 112 pregnant women with PPROM were enrolled in the case subgroup, and 108 normal pregnant women in the control subgroup using an unmatched case-control method. The sociodemographic characteristics of these participants were collected by face-to-face interviews. Vaginal excretions from each participant were sampled at 28-36+6 weeks of pregnancy using a sterile swab. DNA corresponding to Chlamydia trachomatis (CT), Ureaplasma urealyticum (UU), Candida albicans, group B streptococci (GBS), herpes simplex virus-1 (HSV-1), and HSV-2 were detected in each participant by real-time polymerase chain reaction. A model of Bayesian discriminant analysis was established and then verified by a multicenter validation group that included 500 participants in the case subgroup and 500 participants in the control subgroup from five different hospitals in the Shaanxi province, respectively. RESULTS The sociological characteristics were not significantly different between the case and control subgroups in both training and validation groups (all P > 0.05). In training group, the infection rates of UU (11.6% vs. 3.7%), CT (17.0% vs. 5.6%), and GBS (22.3% vs. 6.5%) showed statistically different between the case and control subgroups (all P < 0.05), log-transformed quantification of UU, CT, GBS, and HSV-2 showed statistically different between the case and control subgroups (P < 0.05). All etiological agents were introduced into the Bayesian stepwise discriminant model showed that UU, CT, and GBS infections were the main contributors to PPROM, with coefficients of 0.441, 3.347, and 4.126, respectively. The accuracy rates of the Bayesian stepwise discriminant analysis between the case and control subgroup were 84.1% and 86.8% in the training and validation groups, respectively. CONCLUSIONS This study established a Bayesian stepwise discriminant model to predict the incidence of PPROM. The UU, CT, and GBS infections were discriminant factors for PPROM according to a Bayesian stepwise discriminant analysis. This model could provide a new method for the early predicting of PPROM in pregnant women.
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Affiliation(s)
- Li-Xia Zhang
- Department of Microbiology and Immunology, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi 710061; Deparment of Clinical Laboratory, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, China
| | - Yang Sun
- Department of Medical Statistics, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, China
| | - Hai Zhao
- Deparment of Clinical Laboratory, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, China
| | - Na Zhu
- Deparment of Clinical Laboratory, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, China
| | - Xing-De Sun
- Deparment of Clinical Laboratory, Xi'an Fourth Hospital, Xi'an, Shaanxi 710004, China
| | - Xing Jin
- Deparment of Clinical Laboratory, Xi'an Gaoxin Hospital, Xi'an, Shaanxi 710075, China
| | - Ai-Min Zou
- Deparment of Clinical Laboratory, Chang'an Hospital, Xi'an, Shaanxi 710018, China
| | - Yang Mi
- Department of Obstetrics and Gynecology, The Northwest Women and Children Hospital, Xi'an, Shaanxi 710061, China
| | - Ji-Ru Xu
- Department of Microbiology and Immunology, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China
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